Pittsburgh Penguins | |
GP: 82 | W: 37 | L: 39 | OTL: 6 | P: 80 GF: 225 | GA: 265 | PP%: 21.64% | PK%: 81.51% DG: Christian Engvall Vagman | Morale : 39 | Moyenne d’équipe : 71 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | # | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jonathan Huberdeau | 0 | X | X | 100.00 | 70 | 43 | 88 | 86 | 74 | 75 | 97 | 82 | 33 | 85 | 80 | 62 | 66 | 81 | 83 | 70 | 83 | 76 | 0 | 30 | 1 | 5,900,000$ | |||
2 | Tyler Johnson | 0 | X | X | X | 100.00 | 73 | 42 | 92 | 88 | 62 | 74 | 60 | 81 | 56 | 80 | 74 | 63 | 63 | 78 | 83 | 70 | 55 | 74 | 0 | 33 | 2 | 5,000,000$ | ||
3 | Jason Zucker | 0 | X | X | 100.00 | 90 | 55 | 82 | 81 | 69 | 72 | 77 | 71 | 32 | 71 | 86 | 56 | 41 | 78 | 81 | 74 | 75 | 72 | 0 | 31 | 1 | 5,500,000$ | |||
4 | Tomas Nosek | 0 | X | X | 100.00 | 75 | 64 | 85 | 76 | 77 | 73 | 88 | 72 | 91 | 78 | 63 | 84 | 25 | 70 | 73 | 64 | 81 | 71 | 0 | 31 | 1 | 1,750,000$ | |||
5 | Nathan Bastian | 0 | X | 100.00 | 88 | 90 | 80 | 84 | 80 | 67 | 75 | 65 | 36 | 65 | 67 | 74 | 25 | 64 | 64 | 66 | 79 | 70 | 0 | 26 | 1 | 825,000$ | ||||
6 | Max Pacioretty | 0 | X | 100.00 | 86 | 79 | 66 | 82 | 79 | 47 | 48 | 73 | 80 | 74 | 84 | 52 | 42 | 83 | 87 | 52 | 51 | 70 | 0 | 35 | 1 | 7,000,000$ | ||||
7 | Kailer Yamamoto | 0 | X | X | X | 100.00 | 78 | 42 | 94 | 87 | 55 | 79 | 87 | 65 | 39 | 71 | 71 | 75 | 25 | 68 | 70 | 70 | 77 | 69 | 0 | 25 | 2 | 3,100,000$ | ||
8 | Teddy Blueger | 16 | X | X | X | 100.00 | 77 | 43 | 87 | 90 | 68 | 70 | 81 | 60 | 85 | 67 | 57 | 81 | 25 | 69 | 70 | 63 | 66 | 69 | 0 | 29 | 1 | 2,200,000$ | ||
9 | Mason Appleton | 0 | X | X | 100.00 | 75 | 44 | 95 | 81 | 73 | 78 | 71 | 57 | 30 | 70 | 61 | 73 | 25 | 68 | 69 | 65 | 55 | 68 | 0 | 27 | 1 | 2,166,667$ | |||
10 | Radim Zohorna | 0 | X | X | X | 100.00 | 81 | 85 | 81 | 78 | 85 | 72 | 75 | 59 | 76 | 60 | 55 | 71 | 55 | 51 | 50 | 59 | 66 | 66 | 0 | 27 | 1 | 750,000$ | ||
11 | Luke Glendening | 0 | X | X | 100.00 | 81 | 64 | 81 | 76 | 69 | 62 | 93 | 57 | 92 | 53 | 55 | 81 | 25 | 79 | 80 | 61 | 68 | 66 | 0 | 34 | 1 | 1,125,000$ | |||
12 | Valtteri Puustinen (R) | 0 | X | X | 100.00 | 70 | 62 | 89 | 68 | 65 | 84 | 89 | 65 | 50 | 65 | 64 | 59 | 60 | 48 | 47 | 62 | 63 | 64 | 0 | 24 | 1 | 842,500$ | |||
13 | Jacob Trouba | 0 | X | 99.00 | 93 | 88 | 75 | 87 | 79 | 88 | 99 | 70 | 25 | 64 | 49 | 88 | 25 | 80 | 81 | 65 | 81 | 76 | 0 | 29 | 2 | 8,000,000$ | ||||
14 | Jared Spurgeon | 0 | X | 99.00 | 70 | 42 | 99 | 86 | 58 | 84 | 89 | 70 | 25 | 64 | 57 | 90 | 25 | 90 | 88 | 67 | 71 | 72 | 0 | 34 | 2 | 7,575,000$ | ||||
15 | Marcus Pettersson | 28 | X | 100.00 | 85 | 65 | 74 | 82 | 70 | 86 | 87 | 60 | 25 | 65 | 48 | 82 | 25 | 71 | 73 | 62 | 55 | 71 | 0 | 27 | 2 | 4,025,175$ | ||||
16 | TJ Brodie | 0 | X | 100.00 | 69 | 43 | 93 | 82 | 69 | 83 | 74 | 58 | 25 | 53 | 47 | 87 | 25 | 85 | 88 | 60 | 56 | 69 | 0 | 33 | 2 | 5,000,000$ | ||||
17 | John Klingberg | 0 | X | 100.00 | 70 | 43 | 86 | 85 | 71 | 86 | 88 | 77 | 25 | 63 | 58 | 67 | 25 | 77 | 83 | 65 | 59 | 69 | 0 | 31 | 1 | 7,000,000$ | ||||
18 | Carson Soucy | 0 | X | 100.00 | 82 | 60 | 76 | 79 | 81 | 69 | 88 | 58 | 25 | 49 | 47 | 80 | 25 | 75 | 71 | 59 | 60 | 68 | 0 | 29 | 1 | 2,750,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
1 | Radim Simek | 0 | X | 100.00 | 84 | 58 | 82 | 66 | 72 | 65 | 60 | 60 | 25 | 43 | 47 | 84 | 25 | 65 | 70 | 59 | 20 | 65 | 0 | 31 | 2 | 2,250,000$ | ||||
Équipe Mineure | ||||||||||||||||||||||||||||||
1 | Filip Hallander (R) | 0 | X | X | 100.00 | 76 | 70 | 83 | 72 | 73 | 69 | 71 | 66 | 81 | 65 | 65 | 62 | 59 | 47 | 47 | 61 | 83 | 62 | 0 | 23 | 1 | 764,167$ | |||
2 | Julien Gauthier | 0 | X | 100.00 | 83 | 46 | 96 | 77 | 84 | 52 | 72 | 58 | 35 | 60 | 71 | 58 | 25 | 64 | 64 | 64 | 62 | 62 | 0 | 26 | 1 | 800,000$ | ||||
3 | Lauri Pajuniemi (R) | 0 | X | 100.00 | 76 | 71 | 84 | 68 | 74 | 72 | 76 | 59 | 50 | 55 | 62 | 62 | 57 | 47 | 47 | 59 | 84 | 60 | 0 | 24 | 1 | 883,750$ | ||||
4 | Felix Robert (R) | 0 | X | 100.00 | 70 | 64 | 86 | 66 | 66 | 72 | 75 | 62 | 79 | 57 | 65 | 61 | 61 | 47 | 47 | 60 | 75 | 59 | 0 | 24 | 1 | 857,500$ | ||||
5 | Xavier Bourgault (R) | 0 | X | 100.00 | 72 | 64 | 92 | 71 | 67 | 72 | 76 | 60 | 76 | 57 | 59 | 60 | 55 | 47 | 47 | 58 | 75 | 59 | 0 | 21 | 3 | 925,000$ | ||||
6 | Carsen Twarynski | 0 | X | 100.00 | 73 | 73 | 71 | 63 | 73 | 80 | 87 | 55 | 50 | 47 | 59 | 59 | 58 | 48 | 48 | 58 | 65 | 58 | 0 | 26 | 1 | 750,000$ | ||||
7 | Jonathan Gruden (R) | 0 | X | 100.00 | 66 | 62 | 71 | 66 | 65 | 77 | 82 | 59 | 50 | 55 | 62 | 57 | 57 | 47 | 47 | 57 | 77 | 58 | 0 | 23 | 1 | 788,333$ | ||||
8 | Anthony Angello | 0 | X | 100.00 | 72 | 75 | 62 | 66 | 75 | 67 | 71 | 53 | 69 | 46 | 56 | 60 | 55 | 49 | 49 | 55 | 72 | 57 | 0 | 27 | 1 | 775,000$ | ||||
9 | Nathan Legare (R) | 0 | X | 100.00 | 72 | 74 | 76 | 67 | 77 | 73 | 79 | 48 | 50 | 44 | 47 | 58 | 48 | 47 | 47 | 52 | 56 | 56 | 0 | 22 | 2 | 789,167$ | ||||
10 | Blake Murray (R) | 0 | X | 100.00 | 76 | 70 | 94 | 68 | 72 | 59 | 61 | 50 | 65 | 52 | 46 | 61 | 45 | 46 | 46 | 54 | 59 | 56 | 0 | 22 | 2 | 791,667$ | ||||
11 | Filip Engaras (R) | 0 | X | 100.00 | 79 | 74 | 90 | 65 | 75 | 55 | 57 | 47 | 60 | 38 | 53 | 62 | 50 | 45 | 45 | 54 | 25 | 55 | 0 | 24 | 1 | 750,000$ | ||||
12 | Greg Printz | 0 | X | 100.00 | 76 | 79 | 70 | 63 | 79 | 55 | 57 | 50 | 50 | 47 | 47 | 62 | 45 | 45 | 45 | 53 | 28 | 55 | 0 | 25 | 1 | 750,000$ | ||||
13 | Pierre-Olivier Joseph | 65 | X | 100.00 | 77 | 44 | 84 | 75 | 73 | 67 | 87 | 67 | 25 | 56 | 48 | 67 | 25 | 59 | 59 | 58 | 57 | 63 | 0 | 24 | 2 | 825,000$ | ||||
14 | Libor Hajek | 0 | X | 100.00 | 76 | 44 | 92 | 77 | 76 | 62 | 54 | 54 | 25 | 39 | 51 | 71 | 25 | 60 | 60 | 54 | 60 | 61 | 0 | 25 | 1 | 800,000$ | ||||
15 | Adam Ginning (R) | 0 | X | 100.00 | 77 | 78 | 71 | 66 | 80 | 70 | 76 | 49 | 25 | 42 | 41 | 60 | 39 | 47 | 47 | 50 | 79 | 58 | 0 | 23 | 1 | 883,750$ | ||||
16 | Xavier Bouchard (R) | 0 | X | 100.00 | 76 | 76 | 75 | 67 | 79 | 57 | 60 | 45 | 25 | 35 | 38 | 59 | 37 | 47 | 47 | 47 | 37 | 55 | 0 | 23 | 1 | 937,500$ | ||||
17 | Christopher Merisier-Ortiz (R) | 0 | X | 100.00 | 71 | 63 | 96 | 66 | 66 | 56 | 59 | 46 | 25 | 37 | 38 | 57 | 37 | 47 | 47 | 47 | 50 | 53 | 0 | 22 | 1 | 750,000$ | ||||
18 | Cooper Zech | 0 | X | 100.00 | 69 | 63 | 90 | 68 | 64 | 53 | 55 | 44 | 25 | 32 | 40 | 56 | 39 | 47 | 47 | 47 | 57 | 52 | 0 | 25 | 1 | 750,000$ | ||||
19 | Lukas Svejkovsky (R) | 0 | X | 100.00 | 68 | 60 | 96 | 69 | 62 | 65 | 69 | 49 | 65 | 51 | 44 | 56 | 44 | 47 | 46 | 52 | 36 | 54 | 0 | 22 | 3 | 859,167$ | ||||
20 | Kyle Olson | 0 | X | 100.00 | 66 | 64 | 72 | 63 | 64 | 55 | 58 | 47 | 50 | 44 | 44 | 56 | 42 | 44 | 44 | 51 | 20 | 51 | 0 | 24 | 1 | 750,000$ | ||||
MOYENNE D’ÉQUIPE | 99.95 | 76 | 62 | 83 | 75 | 72 | 69 | 75 | 60 | 48 | 56 | 57 | 67 | 40 | 60 | 61 | 59 | 61 | 63 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Alexandar Georgiev | 0 | 99.00 | 88 | 77 | 85 | 67 | 89 | 88 | 87 | 88 | 87 | 88 | 88 | 65 | 66 | 83 | 84 | 82 | 0 | 27 | 3 | 3,400,000$ | |
2 | Tristan Jarry | 31 | 100.00 | 75 | 82 | 79 | 76 | 75 | 80 | 83 | 76 | 79 | 75 | 75 | 65 | 65 | 75 | 80 | 75 | 0 | 28 | 1 | 3,500,000$ | |
Rayé | ||||||||||||||||||||||||
Équipe Mineure | ||||||||||||||||||||||||
1 | Calle Clang (R) | 0 | 100.00 | 61 | 55 | 56 | 68 | 67 | 60 | 55 | 52 | 54 | 59 | 55 | 45 | 50 | 59 | 72 | 57 | 0 | 21 | 1 | 750,000$ | |
2 | Cory Schneider | 0 | 100.00 | 54 | 50 | 63 | 80 | 58 | 57 | 45 | 54 | 55 | 56 | 30 | 72 | 72 | 53 | 57 | 56 | 0 | 37 | 1 | 750,000$ | |
3 | Filip Lindberg (R) | 0 | 100.00 | 48 | 41 | 51 | 69 | 49 | 47 | 50 | 53 | 49 | 49 | 30 | 44 | 44 | 48 | 20 | 49 | 0 | 24 | 1 | 925,000$ | |
MOYENNE D’ÉQUIPE | 99.80 | 65 | 61 | 67 | 72 | 68 | 66 | 64 | 65 | 65 | 65 | 56 | 58 | 59 | 64 | 63 | 64 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Christian Engvall Vagman | 60 | 60 | 60 | 60 | 31 | 60 | 50 | SWE | 36 | 2 | 1,000,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jonathan Huberdeau | Pittsburgh Penguins | C/LW | 83 | 34 | 37 | 71 | 34 | 20 | 0 | 69 | 66 | 188 | 69 | 145 | 18.09% | 30 | 1165 | 14.05 | 3 | 5 | 8 | 12 | 70 | 1 | 0 | 1 | 4 | 50 | 6 | 3 | 34.52% | 310 | 62 | 17 | 1 | 1 | 1.22 | 1 | 2 | 0 | 0 | 0 | 9 | 5 | 3 |
2 | Tomas Nosek | Pittsburgh Penguins | C/LW | 83 | 24 | 35 | 59 | -2 | 47 | 5 | 106 | 140 | 165 | 45 | 116 | 14.55% | 50 | 1512 | 18.22 | 6 | 15 | 21 | 30 | 191 | 2 | 2 | 4 | 9 | 290 | 3 | 0 | 53.11% | 1269 | 28 | 36 | 0 | 0 | 0.78 | 1 | 3 | 0 | 0 | 1 | 5 | 3 | 6 |
3 | Tyler Johnson | Pittsburgh Penguins | C/LW/RW | 76 | 23 | 31 | 54 | -34 | 20 | 0 | 93 | 73 | 239 | 82 | 151 | 9.62% | 26 | 1362 | 17.93 | 11 | 17 | 28 | 50 | 221 | 0 | 1 | 1 | 4 | 97 | 1 | 0 | 39.89% | 178 | 53 | 25 | 0 | 0 | 0.79 | 2 | 7 | 0 | 0 | 0 | 2 | 1 | 2 |
4 | Teddy Blueger | Pittsburgh Penguins | C/LW/RW | 82 | 13 | 27 | 40 | -14 | 25 | 5 | 111 | 122 | 138 | 59 | 102 | 9.42% | 26 | 1375 | 16.78 | 3 | 13 | 16 | 13 | 150 | 2 | 1 | 3 | 11 | 207 | 0 | 0 | 49.26% | 676 | 47 | 25 | 0 | 0 | 0.58 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 |
5 | Max Pacioretty | Pittsburgh Penguins | LW | 62 | 17 | 22 | 39 | -12 | 147 | 15 | 102 | 42 | 159 | 58 | 101 | 10.69% | 22 | 914 | 14.75 | 5 | 9 | 14 | 17 | 119 | 1 | 0 | 1 | 1 | 31 | 3 | 2 | 63.41% | 41 | 54 | 14 | 0 | 0 | 0.85 | 1 | 3 | 2 | 0 | 1 | 0 | 1 | 2 |
6 | Kailer Yamamoto | Pittsburgh Penguins | C/LW/RW | 82 | 20 | 18 | 38 | -7 | 8 | 0 | 84 | 77 | 251 | 65 | 149 | 7.97% | 28 | 1280 | 15.61 | 3 | 6 | 9 | 20 | 102 | 0 | 0 | 0 | 6 | 184 | 4 | 3 | 32.94% | 85 | 61 | 25 | 0 | 0 | 0.59 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 1 |
7 | Jason Zucker | Pittsburgh Penguins | LW/RW | 82 | 20 | 17 | 37 | -21 | 78 | 10 | 113 | 61 | 127 | 46 | 81 | 15.75% | 30 | 1436 | 17.52 | 12 | 7 | 19 | 33 | 237 | 0 | 0 | 0 | 1 | 72 | 4 | 1 | 41.75% | 103 | 28 | 21 | 0 | 0 | 0.52 | 2 | 6 | 1 | 0 | 1 | 2 | 4 | 3 |
8 | Jacob Trouba | Pittsburgh Penguins | D | 84 | 1 | 32 | 33 | -4 | 206 | 80 | 141 | 152 | 130 | 52 | 48 | 0.77% | 106 | 2032 | 24.20 | 1 | 9 | 10 | 15 | 285 | 0 | 1 | 1 | 2 | 276 | 0 | 0 | 0% | 0 | 17 | 70 | 0 | 0 | 0.32 | 0 | 3 | 7 | 4 | 5 | 0 | 0 | 2 |
9 | Nathan Bastian | Pittsburgh Penguins | RW | 82 | 16 | 14 | 30 | -10 | 69 | 35 | 99 | 69 | 150 | 47 | 120 | 10.67% | 26 | 1168 | 14.25 | 2 | 5 | 7 | 9 | 120 | 0 | 0 | 0 | 0 | 12 | 3 | 0 | 50.00% | 56 | 41 | 17 | 0 | 0 | 0.51 | 0 | 0 | 2 | 0 | 5 | 0 | 1 | 3 |
10 | Jared Spurgeon | Pittsburgh Penguins | D | 82 | 4 | 23 | 27 | -3 | 4 | 0 | 64 | 113 | 99 | 48 | 39 | 4.04% | 94 | 1766 | 21.54 | 4 | 5 | 9 | 14 | 236 | 0 | 3 | 3 | 5 | 305 | 1 | 0 | 0% | 0 | 22 | 66 | 0 | 0 | 0.31 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 |
11 | Radim Zohorna | Pittsburgh Penguins | C/LW/RW | 79 | 2 | 19 | 21 | 5 | 44 | 10 | 76 | 58 | 69 | 20 | 48 | 2.90% | 14 | 756 | 9.57 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 46.03% | 252 | 14 | 13 | 0 | 0 | 0.56 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 1 |
12 | Mason Appleton | Pittsburgh Penguins | C/RW | 82 | 10 | 10 | 20 | -7 | 10 | 0 | 67 | 78 | 111 | 42 | 85 | 9.01% | 22 | 987 | 12.05 | 0 | 1 | 1 | 0 | 14 | 0 | 0 | 0 | 0 | 7 | 1 | 0 | 32.71% | 214 | 30 | 19 | 1 | 0 | 0.40 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 |
13 | Luke Glendening | Pittsburgh Penguins | C/LW | 82 | 8 | 11 | 19 | 2 | 59 | 15 | 92 | 101 | 75 | 32 | 36 | 10.67% | 27 | 1133 | 13.82 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 1 | 10 | 224 | 2 | 0 | 55.28% | 899 | 11 | 21 | 1 | 0 | 0.34 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 2 |
14 | John Klingberg | Pittsburgh Penguins | D | 82 | 3 | 14 | 17 | -26 | 56 | 0 | 56 | 78 | 89 | 31 | 25 | 3.37% | 80 | 1536 | 18.74 | 0 | 1 | 1 | 11 | 175 | 1 | 1 | 2 | 5 | 175 | 0 | 0 | 0% | 0 | 30 | 47 | 0 | 0 | 0.22 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Marcus Pettersson | Pittsburgh Penguins | D | 82 | 3 | 13 | 16 | -17 | 141 | 25 | 111 | 117 | 60 | 31 | 41 | 5.00% | 84 | 1819 | 22.18 | 1 | 6 | 7 | 9 | 235 | 0 | 0 | 0 | 2 | 260 | 0 | 0 | 0% | 0 | 17 | 71 | 0 | 0 | 0.18 | 0 | 0 | 0 | 3 | 2 | 0 | 1 | 0 |
16 | TJ Brodie | Pittsburgh Penguins | D | 82 | 1 | 8 | 9 | 9 | 16 | 0 | 33 | 84 | 53 | 22 | 33 | 1.89% | 72 | 1303 | 15.90 | 1 | 0 | 1 | 3 | 45 | 0 | 0 | 0 | 1 | 126 | 0 | 0 | 0% | 0 | 7 | 53 | 0 | 0 | 0.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Carson Soucy | Pittsburgh Penguins | D | 82 | 1 | 6 | 7 | 0 | 98 | 10 | 71 | 84 | 54 | 17 | 25 | 1.85% | 86 | 1227 | 14.97 | 0 | 0 | 0 | 2 | 25 | 0 | 1 | 1 | 4 | 86 | 0 | 0 | 0% | 0 | 4 | 41 | 0 | 0 | 0.11 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
18 | Valtteri Puustinen | Pittsburgh Penguins | LW/RW | 17 | 3 | 2 | 5 | 0 | 2 | 0 | 8 | 6 | 23 | 7 | 12 | 13.04% | 2 | 131 | 7.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 8 | 3 | 2 | 0 | 0 | 0.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
19 | Radim Simek | Pittsburgh Penguins | D | 44 | 1 | 3 | 4 | -6 | 18 | 0 | 24 | 30 | 16 | 5 | 12 | 6.25% | 10 | 381 | 8.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 0% | 7 | 0 | 9 | 0 | 0 | 0.21 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
20 | Pierre-Olivier Joseph | Wilkes-Barre Scranton Penguins (PIT) | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 1431 | 204 | 342 | 546 | -113 | 1068 | 210 | 1520 | 1551 | 2196 | 778 | 1369 | 9.29% | 835 | 23291 | 16.28 | 52 | 99 | 151 | 238 | 2245 | 7 | 11 | 18 | 65 | 2464 | 28 | 9 | 48.68% | 4098 | 529 | 592 | 3 | 1 | 0.47 | 8 | 27 | 14 | 9 | 17 | 25 | 26 | 33 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Alexandar Georgiev | Pittsburgh Penguins | 59 | 25 | 29 | 4 | 0.900 | 3.21 | 3312 | 6 | 3 | 177 | 1768 | 774 | 5 | 1 | 0.714 | 28 | 58 | 24 | 8 | 4 | 1 |
2 | Tristan Jarry | Pittsburgh Penguins | 33 | 12 | 10 | 2 | 0.898 | 3.02 | 1651 | 0 | 0 | 83 | 812 | 394 | 0 | 1 | 0.714 | 7 | 24 | 58 | 2 | 1 | 0 |
Statistiques d’équipe totales ou en moyenne | 92 | 37 | 39 | 6 | 0.899 | 3.14 | 4963 | 6 | 3 | 260 | 2580 | 1168 | 5 | 2 | 35 | 82 | 82 | 10 | 5 | 1 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Plafond salarial Non Activé | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Non-échange Année 2 | Non-échange Année 3 | Non-échange Année 4 | Non-échange Année 5 | Non-échange Année 6 | Non-échange Année 7 | Non-échange Année 8 | Non-échange Année 9 | Non-échange Année 10 | Lien |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexandar Georgiev (contrat à 1 volet) | Pittsburgh Penguins | G | 27 | 1996-12-31 | No | 178 Lbs | 6 ft1 | No | No | N/A | No | Yes | 3 | False | False | Pro Only | 3,400,000$ | 3,400,000$ | 44,737$ | No | 3,400,000$ | 3,400,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Carson Soucy (contrat à 1 volet) | Pittsburgh Penguins | D | 29 | 1994-12-31 | No | 210 Lbs | 6 ft5 | No | No | N/A | No | Yes | 1 | False | False | Pro Only | 2,750,000$ | 2,750,000$ | 36,184$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Jacob Trouba (contrat à 1 volet) | Pittsburgh Penguins | D | 29 | 1994-12-31 | No | 209 Lbs | 6 ft3 | No | No | Trade | 2024-04-10 | No | Yes | 2 | False | False | Pro Only | 8,000,000$ | 8,000,000$ | 105,263$ | No | 8,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
Jared Spurgeon (contrat à 1 volet) | Pittsburgh Penguins | D | 34 | 1989-12-31 | No | 167 Lbs | 5 ft9 | No | No | N/A | No | Yes | 2 | False | False | Pro Only | 7,575,000$ | 7,575,000$ | 99,671$ | No | 7,575,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Jason Zucker (contrat à 1 volet) | Pittsburgh Penguins | LW/RW | 31 | 1992-12-31 | No | 192 Lbs | 5 ft11 | No | No | N/A | No | Yes | 1 | False | False | Pro Only | 5,500,000$ | 5,500,000$ | 72,368$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
John Klingberg (contrat à 1 volet) | Pittsburgh Penguins | D | 31 | 1992-12-31 | No | 185 Lbs | 6 ft3 | No | No | N/A | No | Yes | 1 | False | False | Pro Only | 7,000,000$ | 7,000,000$ | 92,105$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Jonathan Huberdeau (contrat à 1 volet) | Pittsburgh Penguins | C/LW | 30 | 1993-12-31 | No | 202 Lbs | 6 ft1 | No | No | Trade | 2024-04-10 | No | Yes | 1 | False | False | Pro Only | 5,900,000$ | 5,900,000$ | 77,632$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
Kailer Yamamoto (contrat à 1 volet) | Pittsburgh Penguins | C/LW/RW | 25 | 1998-12-31 | No | 153 Lbs | 5 ft8 | No | No | N/A | No | Yes | 2 | False | False | Pro Only | 3,100,000$ | 3,100,000$ | 40,789$ | No | 3,100,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Luke Glendening (contrat à 1 volet) | Pittsburgh Penguins | C/LW | 34 | 1989-12-31 | No | 191 Lbs | 5 ft11 | No | No | N/A | No | Yes | 1 | False | False | Pro Only | 1,125,000$ | 1,125,000$ | 14,803$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Marcus Pettersson (contrat à 1 volet) | Pittsburgh Penguins | D | 27 | 1996-12-31 | No | 177 Lbs | 6 ft3 | No | No | N/A | No | Yes | 2 | False | False | Pro Only | 4,025,175$ | 4,025,175$ | 52,963$ | No | 4,025,175$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Mason Appleton (contrat à 1 volet) | Pittsburgh Penguins | C/RW | 27 | 1996-12-31 | No | 193 Lbs | 6 ft2 | No | No | N/A | No | Yes | 1 | False | False | Pro Only | 2,166,667$ | 2,166,667$ | 28,509$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Max Pacioretty (contrat à 1 volet) | Pittsburgh Penguins | LW | 35 | 1988-12-31 | No | 215 Lbs | 6 ft2 | No | No | N/A | No | Yes | 1 | False | False | Pro Only | 7,000,000$ | 7,000,000$ | 92,105$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Nathan Bastian (contrat à 1 volet) | Pittsburgh Penguins | RW | 26 | 1997-12-31 | No | 205 Lbs | 6 ft4 | No | No | N/A | No | Yes | 1 | False | False | Pro Only | 825,000$ | 825,000$ | 10,855$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Radim Simek (contrat à 1 volet) | Pittsburgh Penguins | D | 31 | 1992-12-31 | No | 200 Lbs | 5 ft11 | No | No | N/A | No | Yes | 2 | False | False | Pro Only | 2,250,000$ | 2,250,000$ | 29,605$ | No | 2,250,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Radim Zohorna | Pittsburgh Penguins | C/LW/RW | 27 | 1996-12-31 | No | 220 Lbs | 6 ft6 | No | No | N/A | No | Yes | 1 | False | False | Pro & Farm | 750,000$ | 750,000$ | 9,868$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
TJ Brodie (contrat à 1 volet) | Pittsburgh Penguins | D | 33 | 1990-12-31 | No | 185 Lbs | 6 ft1 | No | No | N/A | No | Yes | 2 | False | False | Pro Only | 5,000,000$ | 5,000,000$ | 65,789$ | No | 5,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Teddy Blueger (contrat à 1 volet) | Pittsburgh Penguins | C/LW/RW | 29 | 1994-12-31 | No | 185 Lbs | 6 ft0 | No | No | N/A | No | Yes | 1 | False | False | Pro Only | 2,200,000$ | 2,200,000$ | 28,947$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Tomas Nosek (contrat à 1 volet) | Pittsburgh Penguins | C/LW | 31 | 1992-12-31 | No | 205 Lbs | 6 ft2 | No | No | Trade | 2023-12-28 | No | Yes | 1 | False | False | Pro Only | 1,750,000$ | 1,750,000$ | 23,026$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
Tristan Jarry (contrat à 1 volet) | Pittsburgh Penguins | G | 28 | 1995-12-31 | No | 194 Lbs | 6 ft2 | No | No | N/A | No | Yes | 1 | False | False | Pro Only | 3,500,000$ | 3,500,000$ | 46,053$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Tyler Johnson (contrat à 1 volet) | Pittsburgh Penguins | C/LW/RW | 33 | 1990-12-31 | No | 182 Lbs | 5 ft8 | No | No | N/A | No | Yes | 2 | False | False | Pro Only | 5,000,000$ | 5,000,000$ | 65,789$ | No | 5,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Valtteri Puustinen | Pittsburgh Penguins | LW/RW | 24 | 1999-12-31 | Yes | 179 Lbs | 5 ft9 | No | No | N/A | No | Yes | 1 | False | False | Pro & Farm | 842,500$ | 842,500$ | 11,086$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
21 | 29.57 | 192 Lbs | 6 ft1 | 1.43 | 3,793,302$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
79,659,342$ | 38,350,175$ | 3,400,000$ | 0$ | 0$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Tyler Johnson | Jonathan Huberdeau | Jason Zucker | 30 | 1 | 2 | 2 |
2 | Max Pacioretty | Tomas Nosek | Nathan Bastian | 27 | 1 | 2 | 2 |
3 | Kailer Yamamoto | Teddy Blueger | Mason Appleton | 23 | 1 | 2 | 2 |
4 | Radim Zohorna | Luke Glendening | Valtteri Puustinen | 20 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Jacob Trouba | Jared Spurgeon | 30 | 1 | 2 | 2 | |
2 | Marcus Pettersson | John Klingberg | 27 | 1 | 2 | 2 | |
3 | TJ Brodie | Carson Soucy | 23 | 1 | 2 | 2 | |
4 | Jacob Trouba | Jared Spurgeon | 20 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Tyler Johnson | Jonathan Huberdeau | Jason Zucker | 50 | 1 | 2 | 2 |
2 | Max Pacioretty | Tomas Nosek | Nathan Bastian | 50 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Jacob Trouba | Jared Spurgeon | 50 | 1 | 2 | 2 | |
2 | Marcus Pettersson | John Klingberg | 50 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Jonathan Huberdeau | Tyler Johnson | 50 | 1 | 2 | 2 |
2 | Jason Zucker | Tomas Nosek | 50 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Jacob Trouba | Jared Spurgeon | 50 | 1 | 2 | 2 |
2 | Marcus Pettersson | John Klingberg | 50 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Jonathan Huberdeau | 50 | 1 | 2 | 2 | Jacob Trouba | Jared Spurgeon | 50 | 1 | 2 | 2 |
2 | Tyler Johnson | 50 | 1 | 2 | 2 | Marcus Pettersson | John Klingberg | 50 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Jonathan Huberdeau | Tyler Johnson | 50 | 1 | 2 | 2 |
2 | Jason Zucker | Tomas Nosek | 50 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Jacob Trouba | Jared Spurgeon | 50 | 1 | 2 | 2 |
2 | Marcus Pettersson | John Klingberg | 50 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Tyler Johnson | Jonathan Huberdeau | Jason Zucker | Jacob Trouba | Jared Spurgeon |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Tyler Johnson | Jonathan Huberdeau | Jason Zucker | Jacob Trouba | Jared Spurgeon |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Teddy Blueger, Kailer Yamamoto, Mason Appleton | Teddy Blueger, Kailer Yamamoto | Mason Appleton |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
TJ Brodie, Carson Soucy, Marcus Pettersson | TJ Brodie | Carson Soucy, Marcus Pettersson |
Tirs de pénalité |
---|
Jonathan Huberdeau, Tyler Johnson, Jason Zucker, Tomas Nosek, Max Pacioretty |
Gardien |
---|
#1 : Alexandar Georgiev, #2 : Tristan Jarry |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
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6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
1 | Anaheim Ducks | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 8 | 13 | 21 | 0 | 1 | 5 | 2 | 1 | 0 | 51 | 19 | 24 | 8 | 0 | 54 | 17 | 21 | 41 | 7 | 1 | 14.29% | 8 | 0 | 100.00% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 38 | 19 | 45 | 18 | 36 | 18 |
2 | Arizona Coyotes | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 5 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 1 | 2 | 3 | 2 | 76 | 18 | 34 | 24 | 2 | 66 | 13 | 40 | 38 | 6 | 1 | 16.67% | 10 | 2 | 80.00% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 43 | 24 | 44 | 19 | 36 | 18 |
3 | Boston Bruins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 66 | 28 | 18 | 20 | 0 | 72 | 19 | 6 | 47 | 7 | 2 | 28.57% | 3 | 2 | 33.33% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 40 | 22 | 45 | 17 | 34 | 17 |
4 | Buffalo Sabres | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 2 | 4 | 2 | 0 | 64 | 19 | 29 | 16 | 0 | 64 | 23 | 13 | 36 | 12 | 4 | 33.33% | 4 | 1 | 75.00% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 41 | 23 | 43 | 17 | 34 | 18 |
5 | Calgary Flames | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 2 | 0.500 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 50 | 9 | 18 | 23 | 0 | 66 | 27 | 18 | 44 | 7 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 38 | 19 | 45 | 18 | 35 | 18 |
6 | Carolina Hurricanes | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 9 | 13 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 5 | -2 | 3 | 0.375 | 9 | 17 | 26 | 0 | 0 | 3 | 2 | 4 | 1 | 106 | 32 | 32 | 42 | 4 | 128 | 36 | 52 | 67 | 14 | 2 | 14.29% | 22 | 3 | 86.36% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 83 | 43 | 85 | 39 | 75 | 37 |
7 | Chicago Blackhawks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 57 | 17 | 22 | 18 | 0 | 69 | 29 | 41 | 43 | 7 | 3 | 42.86% | 13 | 2 | 84.62% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 41 | 23 | 45 | 18 | 33 | 16 |
8 | Colorado Avalanche | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 1.000 | 6 | 9 | 15 | 0 | 1 | 1 | 2 | 3 | 0 | 70 | 30 | 14 | 26 | 0 | 61 | 26 | 18 | 36 | 3 | 2 | 66.67% | 9 | 0 | 100.00% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 40 | 23 | 46 | 18 | 33 | 15 |
9 | Columbus Blue Jackets | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 11 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 0.500 | 14 | 24 | 38 | 0 | 0 | 5 | 6 | 3 | 0 | 122 | 36 | 45 | 41 | 0 | 138 | 48 | 26 | 59 | 12 | 3 | 25.00% | 13 | 0 | 100.00% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 83 | 46 | 86 | 35 | 70 | 35 |
10 | Dallas Stars | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 8 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 1 | 2 | 2 | 1 | 64 | 26 | 9 | 29 | 3 | 61 | 16 | 14 | 32 | 7 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 41 | 21 | 43 | 20 | 39 | 20 |
11 | Detroit Red Wings | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 69 | 19 | 26 | 24 | 0 | 64 | 24 | 22 | 28 | 10 | 1 | 10.00% | 11 | 3 | 72.73% | 1 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 41 | 23 | 43 | 18 | 34 | 16 |
12 | Edmonton Oilers | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 14 | -10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 86 | 29 | 24 | 33 | 0 | 91 | 29 | 26 | 59 | 14 | 1 | 7.14% | 13 | 4 | 69.23% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 62 | 33 | 63 | 27 | 53 | 28 |
13 | Florida Panthers | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 7 | 13 | -6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 9 | -5 | 3 | 0.375 | 7 | 11 | 18 | 0 | 1 | 0 | 2 | 5 | 0 | 107 | 25 | 39 | 41 | 2 | 138 | 41 | 32 | 79 | 17 | 3 | 17.65% | 16 | 5 | 68.75% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 80 | 44 | 92 | 38 | 69 | 35 |
14 | Los Angeles Kings | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 2 | 2 | 0 | 1 | 71 | 24 | 28 | 19 | 3 | 57 | 21 | 16 | 26 | 11 | 3 | 27.27% | 8 | 1 | 87.50% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 43 | 23 | 41 | 19 | 39 | 20 |
15 | Minnesota Wild | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 9 | 3 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 0.667 | 12 | 18 | 30 | 0 | 0 | 1 | 6 | 4 | 3 | 87 | 24 | 37 | 25 | 8 | 94 | 28 | 47 | 67 | 12 | 3 | 25.00% | 16 | 3 | 81.25% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 63 | 35 | 63 | 28 | 57 | 28 |
16 | Montreal Canadiens | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 0.500 | 8 | 12 | 20 | 0 | 0 | 2 | 1 | 5 | 0 | 70 | 14 | 31 | 25 | 0 | 66 | 21 | 25 | 43 | 5 | 2 | 40.00% | 10 | 1 | 90.00% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 44 | 25 | 41 | 17 | 34 | 16 |
17 | Nashville Predators | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 5 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 3 | 0.750 | 5 | 7 | 12 | 0 | 0 | 2 | 2 | 1 | 0 | 48 | 19 | 16 | 13 | 0 | 55 | 21 | 29 | 33 | 7 | 3 | 42.86% | 12 | 1 | 91.67% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 39 | 19 | 45 | 19 | 36 | 16 |
18 | New Jersey Devils | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 18 | -10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 8 | 13 | 21 | 0 | 0 | 3 | 3 | 2 | 0 | 126 | 45 | 39 | 42 | 0 | 125 | 39 | 28 | 67 | 14 | 4 | 28.57% | 14 | 4 | 71.43% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 83 | 48 | 86 | 37 | 70 | 32 |
19 | New York Islanders | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 9 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 6 | 0.750 | 13 | 22 | 35 | 0 | 0 | 4 | 7 | 2 | 0 | 129 | 41 | 42 | 46 | 0 | 119 | 45 | 60 | 65 | 20 | 4 | 20.00% | 26 | 4 | 84.62% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 84 | 48 | 86 | 38 | 68 | 33 |
20 | New York Rangers | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 8 | 12 | -4 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 7 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 3 | 0.375 | 8 | 13 | 21 | 0 | 0 | 0 | 3 | 5 | 1 | 109 | 33 | 30 | 44 | 7 | 128 | 47 | 28 | 69 | 12 | 3 | 25.00% | 14 | 2 | 85.71% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 75 | 41 | 97 | 39 | 72 | 34 |
21 | Ottawa Senators | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 6 | 9 | 15 | 1 | 0 | 1 | 2 | 3 | 0 | 62 | 12 | 19 | 31 | 0 | 57 | 15 | 32 | 42 | 8 | 2 | 25.00% | 11 | 3 | 72.73% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 41 | 23 | 42 | 17 | 35 | 17 |
22 | Philadelphia Flyers | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 16 | 20 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 10 | -2 | 4 | 0.500 | 16 | 25 | 41 | 0 | 0 | 5 | 5 | 5 | 2 | 127 | 45 | 43 | 35 | 7 | 120 | 39 | 51 | 61 | 10 | 1 | 10.00% | 18 | 7 | 61.11% | 1 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 82 | 45 | 89 | 38 | 72 | 36 |
23 | San Jose Sharks | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 4 | 1.000 | 8 | 10 | 18 | 0 | 0 | 4 | 1 | 2 | 3 | 60 | 20 | 14 | 26 | 5 | 55 | 25 | 57 | 39 | 6 | 1 | 16.67% | 11 | 3 | 72.73% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 42 | 21 | 43 | 19 | 38 | 19 |
24 | Seattle Kraken | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 4 | 5 | 9 | 0 | 0 | 3 | 0 | 1 | 0 | 66 | 15 | 26 | 25 | 0 | 72 | 27 | 29 | 42 | 6 | 1 | 16.67% | 12 | 0 | 100.00% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 39 | 22 | 45 | 18 | 34 | 16 |
25 | St. Louis Blues | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 0 | 3 | 3 | 0 | 66 | 13 | 27 | 26 | 0 | 69 | 18 | 14 | 37 | 9 | 1 | 11.11% | 7 | 2 | 71.43% | 1 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 42 | 23 | 42 | 18 | 34 | 18 |
26 | Tampa Bay Lightning | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 5 | 0 | 5 | 0.833 | 9 | 16 | 25 | 0 | 0 | 4 | 4 | 1 | 1 | 88 | 28 | 42 | 18 | 4 | 78 | 22 | 22 | 65 | 19 | 5 | 26.32% | 11 | 0 | 100.00% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 67 | 36 | 63 | 28 | 54 | 28 |
27 | Toronto Maple Leafs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 57 | 8 | 28 | 21 | 0 | 77 | 26 | 24 | 26 | 5 | 1 | 20.00% | 12 | 3 | 75.00% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 34 | 17 | 50 | 19 | 35 | 16 |
28 | Vancouver Canucks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 2 | 0 | 3 | 0 | 62 | 14 | 26 | 22 | 0 | 54 | 19 | 34 | 40 | 6 | 1 | 16.67% | 12 | 0 | 100.00% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 40 | 21 | 42 | 19 | 36 | 16 |
29 | Vegas Golden Knights | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 3 | 1 | 2 | 0 | 54 | 15 | 10 | 29 | 0 | 64 | 24 | 24 | 39 | 7 | 2 | 28.57% | 12 | 3 | 75.00% | 2 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 38 | 19 | 44 | 19 | 36 | 17 |
30 | Washington Capitals | 4 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 14 | 18 | -4 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 3 | 0.375 | 14 | 21 | 35 | 0 | 0 | 1 | 6 | 6 | 1 | 121 | 25 | 53 | 42 | 1 | 119 | 33 | 55 | 76 | 12 | 3 | 25.00% | 26 | 7 | 73.08% | 3 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 79 | 40 | 86 | 39 | 74 | 36 |
31 | Winnipeg Jets | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.333 | 6 | 11 | 17 | 1 | 0 | 1 | 3 | 2 | 0 | 86 | 33 | 25 | 28 | 0 | 101 | 33 | 33 | 58 | 13 | 3 | 23.08% | 14 | 4 | 71.43% | 0 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 63 | 36 | 66 | 26 | 49 | 25 |
Total | 82 | 30 | 39 | 0 | 1 | 3 | 6 | 3 | 225 | 265 | -40 | 41 | 16 | 20 | 0 | 1 | 1 | 2 | 1 | 118 | 135 | -17 | 41 | 14 | 19 | 0 | 0 | 2 | 4 | 2 | 107 | 130 | -23 | 80 | 0.488 | 225 | 362 | 587 | 2 | 3 | 60 | 83 | 75 | 16 | 2477 | 735 | 870 | 862 | 46 | 2582 | 851 | 937 | 1504 | 305 | 66 | 21.64% | 384 | 71 | 81.51% | 8 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 1685 | 920 | 1814 | 776 | 1468 | 727 | |
_Since Last GM Reset | 82 | 30 | 39 | 0 | 1 | 3 | 6 | 3 | 225 | 265 | -40 | 41 | 16 | 20 | 0 | 1 | 1 | 2 | 1 | 118 | 135 | -17 | 41 | 14 | 19 | 0 | 0 | 2 | 4 | 2 | 107 | 130 | -23 | 80 | 0.488 | 225 | 362 | 587 | 2 | 3 | 60 | 83 | 75 | 16 | 2477 | 735 | 870 | 862 | 46 | 2582 | 851 | 937 | 1504 | 305 | 66 | 21.64% | 384 | 71 | 81.51% | 8 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 1685 | 920 | 1814 | 776 | 1468 | 727 | |
_Vs Conference | 47 | 16 | 24 | 0 | 1 | 2 | 1 | 3 | 130 | 161 | -31 | 23 | 8 | 13 | 0 | 1 | 0 | 0 | 1 | 66 | 82 | -16 | 24 | 8 | 11 | 0 | 0 | 2 | 1 | 2 | 64 | 79 | -15 | 41 | 0.436 | 130 | 215 | 345 | 1 | 1 | 32 | 50 | 46 | 6 | 1423 | 410 | 516 | 488 | 25 | 1493 | 478 | 476 | 830 | 177 | 40 | 22.60% | 211 | 45 | 78.67% | 5 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 964 | 530 | 1041 | 444 | 836 | 413 | |
_Vs Division | 28 | 8 | 15 | 0 | 1 | 1 | 1 | 2 | 82 | 101 | -19 | 14 | 5 | 7 | 0 | 1 | 0 | 0 | 1 | 44 | 50 | -6 | 14 | 3 | 8 | 0 | 0 | 1 | 1 | 1 | 38 | 51 | -13 | 23 | 0.411 | 82 | 135 | 217 | 0 | 0 | 21 | 32 | 27 | 5 | 840 | 257 | 284 | 292 | 19 | 877 | 287 | 300 | 464 | 94 | 20 | 21.28% | 133 | 27 | 79.70% | 4 | 912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% | 573 | 314 | 618 | 268 | 503 | 246 |
Total pour les joueurs | ||||||||||||
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Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
82 | 80 | L2 | 225 | 362 | 587 | 2477 | 2582 | 851 | 937 | 1504 | 2 | 3 |
Tous les matchs | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
82 | 30 | 39 | 1 | 3 | 6 | 3 | 225 | 265 |
Matchs locaux | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
41 | 16 | 20 | 1 | 1 | 2 | 1 | 118 | 135 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
41 | 14 | 19 | 0 | 2 | 4 | 2 | 107 | 130 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
7 | 2 | 0 | 0 | 0 | 1 |
Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
---|---|---|---|---|---|---|
305 | 66 | 21.64% | 384 | 71 | 81.51% | 8 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
735 | 870 | 862 | 46 | 60 | 83 | 75 | 16 |
Mises en jeu | ||||||||
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Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
912 | 1820 | 50.11% | 1020 | 2019 | 50.52% | 566 | 1192 | 47.48% |
Temps avec la rondelle | |||||
---|---|---|---|---|---|
En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
1685 | 920 | 1814 | 776 | 1468 | 727 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Capacité de l’aréna - Tendance du prix des billets - % | |||||
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Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
Capacité | 8000 | 5000 | 3000 | 5150 | 850 |
Prix des billets | 80 | 39 | 25 | 19 | 175 |
Assistance | 268,357 | 195,204 | 116,227 | 191,252 | 32,554 |
Attendance PCT | 81.82% | 95.22% | 94.49% | 90.58% | 93.41% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
0 | 19600 - 89.09% | 1,501,554$ | 61,563,717$ | 22000 | 100 |
Dépenses | ||||
---|---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
77,982,858$ | 79,659,342$ | 79,659,342$ | 0$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Taxe de luxe totale | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|---|
79,659,342$ | 76,996,008$ | 0$ | 21 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 2 | 530,654$ | 1,061,308$ |
Total de l’équipe estimé | ||
---|---|---|
Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
1,061,308$ | 66,346,419$ | 65,285,111$ |
Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
---|---|---|---|
79,659,342$ | 2,840,658$ | 82,500,000$ | 18,659,342$ |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Date de la Dernière Transaction | Lien |
---|---|---|---|---|---|---|
Aaron Pionk | Pittsburgh Penguins | 2023 | 126 | |||
Adam Gajan | Pittsburgh Penguins | 2023 | 46 | |||
Ben Macdonald | Pittsburgh Penguins | 2022 | 105 | |||
Brett Berard | Pittsburgh Penguins | 2020 | 102 | |||
Brody Lamb | Pittsburgh Penguins | 2021 | 104 | |||
Cameron Lund | Pittsburgh Penguins | 2022 | 41 | |||
Cole OHara | Pittsburgh Penguins | 2022 | 124 | |||
Daniil Orlov | Pittsburgh Penguins | 2022 | 119 | |||
Hugo Gabrielson | Pittsburgh Penguins | 2021 | 169 | |||
Hugo Ollas | Pittsburgh Penguins | 2020 | 197 | |||
Hunter Haight | Pittsburgh Penguins | 2022 | 56 | |||
Isaac Belliveau | Pittsburgh Penguins | 2021 | 153 | |||
Ivan Miroshnichenko | Pittsburgh Penguins | 2022 | 24 | |||
Jakub Dvorak | Pittsburgh Penguins | 2023 | 62 | |||
Jaroslav Chmelar | Pittsburgh Penguins | 2021 | 150 | |||
Joel Blomqvist | Pittsburgh Penguins | 2020 | 58 | |||
Juha Jatkola | Pittsburgh Penguins | 2023 | 123 | |||
Kalan Lind | Pittsburgh Penguins | 2023 | 55 | |||
Kenny Connors | Pittsburgh Penguins | 2022 | 112 | |||
Matyas Sapovaliv | Pittsburgh Penguins | 2022 | 64 | |||
Nico Myatovic | Pittsburgh Penguins | 2023 | 31 | |||
Noah Laba | Pittsburgh Penguins | 2022 | 120 | |||
Oskar Pettersson | Pittsburgh Penguins | 2022 | 77 | |||
Quinn Olson | Pittsburgh Penguins | 2019 | 120 | |||
Rasmus Larsson | Pittsburgh Penguins | 2023 | 149 | |||
Ryan McCleary | Pittsburgh Penguins | 2021 | 194 | |||
Stanislav Yarovoi | Pittsburgh Penguins | 2023 | 94 | |||
Tristan Broz | Pittsburgh Penguins | 2021 | 57 | |||
Viktor Neuchev | Pittsburgh Penguins | 2022 | 79 | |||
Vilmer Alriksson | Pittsburgh Penguins | 2023 | 102 |
Année | R1 | R2 | R3 | R4 | R5 |
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2024 | |||||
2025 | |||||
2026 | |||||
2027 | |||||
2028 | |||||
Choix au repêchage conditionnel |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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