Connexion

Toronto Marlies
GP: 72 | W: 42 | L: 21 | OTL: 9 | P: 93
GF: 202 | GA: 176 | PP%: 22.10% | PK%: 64.55%
DG: Albin Cöster | Morale : 65 | Moyenne d’équipe : 59
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Centre de jeu
Hershey Bears
44-22-6, 94pts
2
FINAL
3 Toronto Marlies
42-21-9, 93pts
Team Stats
L1SéquenceL1
22-11-3Fiche domicile21-12-3
22-11-3Fiche domicile21-9-6
2-6-2Derniers 10 matchs4-5-1
2.96Buts par match 2.81
2.43Buts contre par match 2.44
31.93%Pourcentage en avantage numérique22.10%
74.40%Pourcentage en désavantage numérique64.55%
Toronto Marlies
42-21-9, 93pts
3
FINAL
5 Wilkes-Barre Scranton Penguins
28-33-11, 67pts
Team Stats
L1SéquenceW1
21-12-3Fiche domicile13-18-5
21-9-6Fiche domicile15-15-6
4-5-1Derniers 10 matchs5-3-2
2.81Buts par match 2.10
2.44Buts contre par match 2.63
22.10%Pourcentage en avantage numérique30.28%
64.55%Pourcentage en désavantage numérique60.47%
Meneurs d'équipe
Joey AndersonButs
Joey Anderson
32
Michael AmadioPasses
Michael Amadio
36
Brett SeneyPoints
Brett Seney
66
Tim GettingerPlus/Moins
Tim Gettinger
17
Erik KallgrenVictoires
Erik Kallgren
41
Erik KallgrenPourcentage d’arrêts
Erik Kallgren
0.916

Statistiques d’équipe
Buts pour
202
2.81 GFG
Tirs pour
2378
33.03 Avg
Pourcentage en avantage numérique
22.1%
40 GF
Début de zone offensive
40.7%
Buts contre
176
2.44 GAA
Tirs contre
1979
27.49 Avg
Pourcentage en désavantage numérique
64.5%%
39 GA
Début de la zone défensive
32.4%
Informations de l'équipe

Directeur généralAlbin Cöster
EntraîneurSheldon Keefe
DivisionNorth Division
ConférenceEastern Conference
CapitaineMichael Amadio
Assistant #1Travis Dermott
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,947
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 60
Espoirs14


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Joey Anderson0X100.007343999270718266256175762559596683670251750,000$
2Brett Seney0XX100.006661727761788170806770616254546381650271750,000$
3Michael Amadio (C)0XX100.007143947374627968466779652568686779650272762,500$
4Tim Gettinger0X100.008483806784676963506262675747476072630251750,000$
5Brendan Perlini0XX100.008379858480494759505065656249496081620271937,500$
6Max McCormick0X100.006867726767778067506465616354546379620312953,125$
7Nicholas Robertson0X100.007642997761585167566465682549496477610222796,667$
8Bobby McMann0X100.008075826176676867495874657047476575610272762,500$
9Walker Duehr0X100.008646966178568156306075542549496678590261750,000$
10Curtis Douglas (R)0X100.008094386697748148634450624847475280590232837,500$
11Adam Brooks0X100.006762836962606060776155595451525778570272762,500$
12Mikhail Abramov (R)0X100.007161986664727655715155585347475780570222809,444$
13Anton Stralman46X100.0082679881657266762540418837879351756803711,250,000$
14Travis Dermott (A)0X100.0073439482746457562540487625676956786302711,500,000$
15Alex Petrovic0X100.008181767081808753254448644447475474620311937,500$
16Parker Wotherspoon0X100.006842916364626561254749742548485475580261937,500$
17William Villeneuve (R)0X100.007166806568727852254840593947475080570213817,778$
18Mac Hollowell0X100.006861876862565655255738593747475079560251750,000$
Rayé
1Nick Abruzzese (R)0XX100.007162916562687062786158625545456320580241850,000$
2Samuel Laberge0X100.007476696876596154504757625444445820570261937,500$
3Connor Ford0X100.007668936968656951504751624844445820560251750,000$
4Shawn Element (R)0X100.006470506970616355694758575544445720550231750,000$
5Mitchell Hoelscher (R)0X100.007365906665596153664656615344445820550231750,000$
6Alex Whelan0X100.007976876476494950504846634444445420550261750,000$
7Mikko Kokkonen (R)0X100.007472796772606446253739603744445120550223846,667$
8Filip Kral (R)0X100.007669915969586147253742614044445220540241810,000$
MOYENNE D’ÉQUIPE100.00746484707164685847525664455151586060
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Erik Kallgren0100.00645554757553736467637549506180630271750,000$
2Luke Richardson (R)0100.00725859665060615552525644446480560241937,500$
Rayé
1Jett Alexander0100.00505560775249585446595544445520530241937,500$
MOYENNE D’ÉQUIPE100.0062565873595464585558624646606057
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sheldon Keefe60508050996050CAN441500,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP 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
1Brett SeneyToronto Marlies (TOR)C/LW7231356691478595862477514312.55%31139619.398715161400005616359.20%1257226200.95410359644
2Michael AmadioToronto Marlies (TOR)C/RW722936658322084812716813910.70%29130518.1392029241630007744248.34%3027222011.00213022986
3Joey AndersonToronto Marlies (TOR)RW723231633252578743118217410.29%38132318.38581317145000005136.11%729723200.95313212752
4Bobby McMannToronto Marlies (TOR)C7214334781401201499497335414.43%23131118.22391261290004670242.83%14221330000.72001086026
5Tim GettingerToronto Marlies (TOR)LW7218264417240140112671806712210.00%19118816.51571271250004655045.24%424718000.743441311231
6Brendan PerliniToronto Marlies (TOR)LW/RW72111829111118514378165491066.67%16113215.730221810002312138.57%1406318000.5101575151
7Nicholas RobertsonToronto Marlies (TOR)LW721710273406162190661098.95%23102314.22011360000096138.64%445921000.5300000334
8Max McCormickToronto Marlies (TOR)LW7271623-464409048190571013.68%1383711.6300000000002147.37%193512000.5500233213
9Adam BrooksToronto Marlies (TOR)C72317206302050628726533.45%1490112.5200006000030155.61%5701711000.4400121001
10Alex PetrovicToronto Marlies (TOR)D72416201010155116835934266.78%58142419.783257134000071000%01544000.2800146010
11Anton StralmanToronto Marlies (TOR)D72415198110110831078739534.60%80163922.784379141000079100%02265000.2300679100
12Travis DermottToronto Marlies (TOR)D72017174393567957539300%84173224.060332149000278000%02262000.2000142000
13Parker WotherspoonToronto Marlies (TOR)D72413177222054858335314.82%67152521.183147138000075010%01446000.2200022000
14Walker DuehrToronto Marlies (TOR)RW727815-415151114013247885.30%1179611.0700006000000021.43%144412000.3800021123
15Curtis DouglasToronto Marlies (TOR)C7251015112971651729043162211.63%2097313.5200000000000050.14%708217000.31009816021
16Mikhail AbramovToronto Marlies (TOR)C727411-22220456160314111.67%1777310.7500000000003050.16%305912000.2800202012
17William VilleneuveToronto Marlies (TOR)D721910613810073575015172.00%53118816.500000800006000%01227000.1700497100
18Mac HollowellToronto Marlies (TOR)D720997343043615121140%47117716.360000000000000%01134000.1500033000
Statistiques d’équipe totales ou en moyenne12961943235171081571108516261331237880013238.16%6432165216.71406310399143300024627341347.36%3763626500410.481241508087333734
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Erik KallgrenToronto Marlies (TOR)70412090.9162.2542674416019041152540.78642702723
2Luke RichardsonToronto Marlies (TOR)21100.9143.0311900670400100270100
Statistiques d’équipe totales ou en moyenne72422190.9162.274386441661974119255427272823


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS 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 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam BrooksToronto Marlies (TOR)C271996-12-31No174 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Alex PetrovicToronto Marlies (TOR)D311992-12-31No216 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Lien
Alex WhelanToronto Marlies (TOR)RW261997-12-31No212 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Anton StralmanToronto Marlies (TOR)D371986-12-31No186 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$No------------------Lien / Lien NHL
Bobby McMannToronto Marlies (TOR)C271996-12-31No205 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Brendan PerliniToronto Marlies (TOR)LW/RW271996-12-31No211 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Lien / Lien NHL
Brett SeneyToronto Marlies (TOR)C/LW271996-12-31No174 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Connor FordToronto Marlies (TOR)RW251998-12-31No187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Curtis DouglasToronto Marlies (TOR)C232000-12-31Yes248 Lbs6 ft9NoNoN/ANoNo2FalseFalsePro & Farm837,500$0$0$No837,500$--------No--------Lien / Lien NHL
Erik KallgrenToronto Marlies (TOR)G271996-12-31No190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Filip KralToronto Marlies (TOR)D241999-12-31Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm810,000$0$0$No------------------Lien / Lien NHL
Jett AlexanderToronto Marlies (TOR)G241999-12-31 17:43:38No214 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------
Joey AndersonToronto Marlies (TOR)RW251998-12-31No190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Luke RichardsonToronto Marlies (TOR)G241999-12-31 19:20:39Yes170 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------
Mac HollowellToronto Marlies (TOR)D251998-12-31No170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Max McCormickToronto Marlies (TOR)LW311992-12-31No188 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm953,125$0$0$No953,125$--------No--------Lien / Lien NHL
Michael AmadioToronto Marlies (TOR)C/RW271996-12-31No204 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Mikhail AbramovToronto Marlies (TOR)C222001-12-31Yes160 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm809,444$0$0$No809,444$--------No--------Lien / Lien NHL
Mikko KokkonenToronto Marlies (TOR)D222001-12-31Yes200 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm846,667$0$0$No846,667$846,667$-------NoNo-------
Mitchell HoelscherToronto Marlies (TOR)C232000-12-31Yes176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Nicholas RobertsonToronto Marlies (TOR)LW222001-12-31No162 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm796,667$0$0$No796,667$--------No--------Lien / Lien NHL
Nick AbruzzeseToronto Marlies (TOR)C/LW241999-12-31Yes174 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No------------------
Parker WotherspoonToronto Marlies (TOR)D261997-12-31No172 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Lien / Lien NHL
Samuel LabergeToronto Marlies (TOR)LW261997-12-31No205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Lien / Lien NHL
Shawn ElementToronto Marlies (TOR)C232000-12-31Yes192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Tim GettingerToronto Marlies (TOR)LW251998-12-31No218 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Travis DermottToronto Marlies (TOR)D271996-12-31No205 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No------------------Lien / Lien NHL
Walker DuehrToronto Marlies (TOR)RW261997-12-31No210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
William VilleneuveToronto Marlies (TOR)D212002-12-31Yes175 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm817,778$0$0$No817,778$817,778$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.66192 Lbs6 ft11.38858,058$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett SeneyBobby McMannJoey Anderson32014
2Nicholas RobertsonCurtis DouglasMichael Amadio28113
3Tim GettingerAdam BrooksBrendan Perlini23122
4Max McCormickMikhail AbramovWalker Duehr17122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton StralmanTravis Dermott38023
2Alex PetrovicParker Wotherspoon32032
3William VilleneuveMac Hollowell30131
4Anton StralmanTravis Dermott0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicholas RobertsonBrett SeneyJoey Anderson50005
2Tim GettingerBobby McMannMichael Amadio50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton StralmanTravis Dermott50023
2Alex PetrovicParker Wotherspoon50023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael AmadioNicholas Robertson50140
2Bobby McMannTim Gettinger50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton StralmanTravis Dermott50140
2Alex PetrovicParker Wotherspoon50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nicholas Robertson50050Anton StralmanTravis Dermott50140
2Tim Gettinger50050Alex PetrovicParker Wotherspoon50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brett SeneyMichael Amadio50122
2Bobby McMannTim Gettinger50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton StralmanTravis Dermott50122
2Alex PetrovicParker Wotherspoon50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett SeneyMichael AmadioJoey AndersonAnton StralmanTravis Dermott
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett SeneyMichael AmadioJoey AndersonAnton StralmanTravis Dermott
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brendan Perlini, Max McCormick, Nicholas RobertsonBrendan Perlini, Max McCormickBrendan Perlini
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Parker Wotherspoon, William Villeneuve, Mac HollowellParker WotherspoonParker Wotherspoon, William Villeneuve
Tirs de pénalité
Joey Anderson, Michael Amadio, Brett Seney, Tim Gettinger, Brendan Perlini
Gardien
#1 : Luke Richardson, #2 : Erik Kallgren


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# 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
1Abbotsford Canucks310010101293210000109721000100032161.0001218300040767317106770806781628526109688337.50%7357.14%0729150748.37%554120246.09%49999750.05%155685313986991438704
2Bakersfield Condors2110000056-11010000024-21100000032120.500510151040767317657708067816247133741300.00%6266.67%0729150748.37%554120246.09%49999750.05%155685313986991438704
3Belleville Senators31000011752100000102112100000154150.833791600407673179577080678162903275639111.11%5180.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
4Bridgeport Islanders21100000651110000004221010000023-120.5006814004076731764770806781624819486611100.00%4175.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
5Calgary Wranglers2010010036-31000010034-11010000002-210.25034700407673175877080678162792530424125.00%000%0729150748.37%554120246.09%49999750.05%155685313986991438704
6Charlotte Checkers22000000615110000002021100000041341.0006111701407673178277080678162371112424250.00%10100.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
7Chicago Wolves211000004401010000012-11100000032120.5004590040767317767708067816248121434400.00%2150.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
8Cleveland Monsters3110010056-1211000004401000010012-130.5005611004076731784770806781621002331727114.29%3166.67%0729150748.37%554120246.09%49999750.05%155685313986991438704
9Coachella Valley Firebirds2020000026-41010000013-21010000013-200.0002460040767317707708067816248147464400.00%2150.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
10Colorado Eagles2020000037-41010000013-21010000024-200.0003580040767317577708067816250153853600.00%4175.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
11Grand Rapids Griffins22000000523110000003211100000020241.000591401407673177177080678162481731526233.33%3166.67%0729150748.37%554120246.09%49999750.05%155685313986991438704
12Hartford Wolf Pack21000010743110000003121000001043141.0007111800407673175877080678162371416467342.86%3166.67%0729150748.37%554120246.09%49999750.05%155685313986991438704
13Henderson Silver Knights20001010752100010004311000001032141.0007111800407673176977080678162682017382150.00%10100.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
14Hershey Bears21001000642100010003211100000032141.000691500407673175877080678162732531475240.00%3166.67%0729150748.37%554120246.09%49999750.05%155685313986991438704
15Iowa Wild20000020642100000103211000001032141.00067130040767317677708067816254254835600.00%40100.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
16Laval Rocket320000101376110000005322100001084461.00013233600407673171027708067816287264972600.00%220.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
17Lehigh Valley Phantoms22000000633110000003211100000031241.00069150040767317757708067816255133647300.00%3166.67%0729150748.37%554120246.09%49999750.05%155685313986991438704
18Manitoba Moose210000015411000000112-11100000042230.750581300407673175577080678162471070318112.50%5260.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
19Milwaukee Admirals2020000037-41010000013-21010000024-200.0003691040767317757708067816257216851600.00%4250.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
20Ontario Reign30200001611-51010000034-12010000137-410.1676101600407673179077080678162763028763133.33%4250.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
21Providence Bruins21000010752100000104311100000032141.0007101700407673175677080678162802758318225.00%4175.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
22Rochester Americans31101000752110000004222010100033040.66771118004076731710277080678162942638637114.29%40100.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
23Rockford IceHogs220000001147110000006241100000052341.00011172800407673176777080678162492794418562.50%7357.14%0729150748.37%554120246.09%49999750.05%155685313986991438704
24San Diego Gulls2010010025-31010000013-21000010012-110.25024600407673175677080678162631851421218.33%30100.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
25San Jose Barracuda2020000048-41010000024-21010000024-200.000461010407673176977080678162522034405120.00%2150.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
26Springfield Thunderbirds310011001394210001009631000100043150.83313203300407673171157708067816274301307211654.55%5340.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
27Syracuse Crunch430000011174220000006242100000155070.8751119300040767317136770806781629936105939222.22%5180.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
28Texas Stars211000006601010000024-21100000042220.500610161040767317697708067816245174955400.00%220.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
29Tucson Roadrunners21000001972110000006331000000134-130.750915240040767317717708067816276193430500.00%20100.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
30Utica Comets312000009902020000059-41100000040420.3339182701407673179477080678162791691698337.50%8537.50%0729150748.37%554120246.09%49999750.05%155685313986991438704
31Wilkes-Barre Scranton Penguins21100000651110000003031010000035-220.500610161140767317667708067816234162950200.00%20100.00%0729150748.37%554120246.09%49999750.05%155685313986991438704
Total72292105485202176263615120224110692143614903244968412930.64620232352554407673172378770806781621979643157516261814022.10%1103964.55%0729150748.37%554120246.09%49999750.05%155685313986991438704
_Since Last GM Reset72292105485202176263615120224110692143614903244968412930.64620232352554407673172378770806781621979643157516261814022.10%1103964.55%0729150748.37%554120246.09%49999750.05%155685313986991438704
_Vs Conference392060425212184372012301130664422198303122554015620.79512119231313407673171293770806781621072340858901952728.42%592164.41%0729150748.37%554120246.09%49999750.05%155685313986991438704
_Vs Division181040213249409106300020262248410211223185330.9174976125124076731757577080678162474138296431371027.03%281160.71%0729150748.37%554120246.09%49999750.05%155685313986991438704

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7293L1202323525237819796431575162654
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7229215485202176
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
361512224110692
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3614932449684
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1814022.10%1103964.55%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
7708067816240767317
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
729150748.37%554120246.09%49999750.05%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
155685313986991438704


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
210Syracuse Crunch1Toronto Marlies3WSommaire du match
533Springfield Thunderbirds4Toronto Marlies3LXSommaire du match
648Toronto Marlies2Rochester Americans1WXSommaire du match
970Abbotsford Canucks2Toronto Marlies3WSommaire du match
1077Toronto Marlies3Laval Rocket2WXXSommaire du match
13101Cleveland Monsters1Toronto Marlies3WSommaire du match
15118Toronto Marlies2Belleville Senators3LXXSommaire du match
17131Toronto Marlies3Syracuse Crunch2WSommaire du match
19141Utica Comets4Toronto Marlies2LSommaire du match
21162Belleville Senators1Toronto Marlies2WXXSommaire du match
24180Toronto Marlies3Belleville Senators1WSommaire du match
25196Springfield Thunderbirds2Toronto Marlies6WSommaire du match
27208Toronto Marlies2Ontario Reign3LXXSommaire du match
30228Lehigh Valley Phantoms2Toronto Marlies3WSommaire du match
32248Toronto Marlies3Lehigh Valley Phantoms1WSommaire du match
34260Laval Rocket3Toronto Marlies5WSommaire du match
36279Toronto Marlies0Calgary Wranglers2LSommaire du match
38292Providence Bruins3Toronto Marlies4WXXSommaire du match
40313Toronto Marlies2Colorado Eagles4LSommaire du match
42326Tucson Roadrunners3Toronto Marlies6WSommaire du match
43340Toronto Marlies3Bakersfield Condors2WSommaire du match
45356Rochester Americans2Toronto Marlies4WSommaire du match
46366Toronto Marlies4Hartford Wolf Pack3WXXSommaire du match
49383Toronto Marlies4Manitoba Moose2WSommaire du match
50398Toronto Marlies4Springfield Thunderbirds3WXSommaire du match
51408Wilkes-Barre Scranton Penguins0Toronto Marlies3WSommaire du match
54430Charlotte Checkers0Toronto Marlies2WSommaire du match
56449Toronto Marlies3Hershey Bears2WSommaire du match
58463Coachella Valley Firebirds3Toronto Marlies1LSommaire du match
61483Toronto Marlies4Utica Comets0WSommaire du match
62494Hartford Wolf Pack1Toronto Marlies3WSommaire du match
65514Toronto Marlies5Rockford IceHogs2WSommaire du match
67525Ontario Reign4Toronto Marlies3LSommaire du match
69540Toronto Marlies2Grand Rapids Griffins0WSommaire du match
70552Toronto Marlies1Coachella Valley Firebirds3LSommaire du match
72568Texas Stars4Toronto Marlies2LSommaire du match
75589Chicago Wolves2Toronto Marlies1LSommaire du match
77608Toronto Marlies3Abbotsford Canucks2WXSommaire du match
79621Toronto Marlies1San Diego Gulls2LXSommaire du match
80629Calgary Wranglers4Toronto Marlies3LXSommaire du match
82650Cleveland Monsters3Toronto Marlies1LSommaire du match
84672Toronto Marlies4Charlotte Checkers1WSommaire du match
85680Toronto Marlies3Iowa Wild2WXXSommaire du match
86693San Jose Barracuda4Toronto Marlies2LSommaire du match
88710Toronto Marlies3Chicago Wolves2WSommaire du match
91728Toronto Marlies2Syracuse Crunch3LXXSommaire du match
92734Henderson Silver Knights3Toronto Marlies4WXSommaire du match
94757Toronto Marlies5Laval Rocket2WSommaire du match
95766Rockford IceHogs2Toronto Marlies6WSommaire du match
98791Manitoba Moose2Toronto Marlies1LXXSommaire du match
100806Toronto Marlies4Texas Stars2WSommaire du match
102821Syracuse Crunch1Toronto Marlies3WSommaire du match
104841Toronto Marlies1Rochester Americans2LSommaire du match
105853Iowa Wild2Toronto Marlies3WXXSommaire du match
108872Toronto Marlies3Henderson Silver Knights2WXXSommaire du match
109886Bakersfield Condors4Toronto Marlies2LSommaire du match
112908Milwaukee Admirals3Toronto Marlies1LSommaire du match
114920Toronto Marlies2Bridgeport Islanders3LSommaire du match
116937Toronto Marlies1Ontario Reign4LSommaire du match
117950Abbotsford Canucks5Toronto Marlies6WXXSommaire du match
119964Toronto Marlies2San Jose Barracuda4LSommaire du match
121979Toronto Marlies1Cleveland Monsters2LXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
122988Colorado Eagles3Toronto Marlies1LSommaire du match
1251011Utica Comets5Toronto Marlies3LSommaire du match
1271034Toronto Marlies2Milwaukee Admirals4LSommaire du match
1281043Toronto Marlies3Tucson Roadrunners4LXXSommaire du match
1291053San Diego Gulls3Toronto Marlies1LSommaire du match
1321077Bridgeport Islanders2Toronto Marlies4WSommaire du match
1341087Toronto Marlies3Providence Bruins2WSommaire du match
1361105Grand Rapids Griffins2Toronto Marlies3WSommaire du match
1401127Hershey Bears2Toronto Marlies3WXSommaire du match
1411136Toronto Marlies3Wilkes-Barre Scranton Penguins5LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3615
Assistance70,73335,359
Assistance PCT98.24%98.22%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2947 - 98.23% 88,256$3,177,199$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,988,305$ 2,488,369$ 2,488,369$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,488,345$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 20,609$ 0$




Toronto Marlies Leaders statistiques des joueurs (saison régulière)

# 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

Toronto Marlies Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Toronto Marlies Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Toronto Marlies Leaders statistiques des joueurs (séries éliminatoires)

# 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

Toronto Marlies Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA