Connexion

Rochester Americans
GP: 72 | W: 41 | L: 22 | OTL: 9 | P: 91
GF: 187 | GA: 167 | PP%: 32.92% | PK%: 64.18%
DG: Daniel Hägglöf | Morale : 59 | Moyenne d’équipe : 57
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Centre de jeu
Rochester Americans
41-22-9, 91pts
1
FINAL
2 San Diego Gulls
41-25-6, 88pts
Team Stats
W1SéquenceL2
20-9-7Fiche domicile21-12-3
21-13-2Fiche domicile20-13-3
6-4-0Derniers 10 matchs8-2-0
2.60Buts par match 2.88
2.32Buts contre par match 2.46
32.92%Pourcentage en avantage numérique34.16%
64.18%Pourcentage en désavantage numérique72.92%
San Diego Gulls
41-25-6, 88pts
1
FINAL
4 Rochester Americans
41-22-9, 91pts
Team Stats
L2SéquenceW1
21-12-3Fiche domicile20-9-7
20-13-3Fiche domicile21-13-2
8-2-0Derniers 10 matchs6-4-0
2.88Buts par match 2.60
2.46Buts contre par match 2.32
34.16%Pourcentage en avantage numérique32.92%
72.92%Pourcentage en désavantage numérique64.18%
Meneurs d'équipe
Brandon BiroButs
Brandon Biro
29
Rasmus AsplundPasses
Rasmus Asplund
41
Rasmus AsplundPoints
Rasmus Asplund
66
Rasmus AsplundPlus/Moins
Rasmus Asplund
19
Ukko-Pekka LuukkonenVictoires
Ukko-Pekka Luukkonen
41
Pourcentage d’arrêts
Ryan Bednard
0.929

Statistiques d’équipe
Buts pour
187
2.60 GFG
Tirs pour
2245
31.18 Avg
Pourcentage en avantage numérique
32.9%
53 GF
Début de zone offensive
37.9%
Buts contre
167
2.32 GAA
Tirs contre
2162
30.03 Avg
Pourcentage en désavantage numérique
64.2%%
48 GA
Début de la zone défensive
36.9%
Informations de l'équipe

Directeur généralDaniel Hägglöf
EntraîneurDon Granato
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,086
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure20
Limite contact 50 / 60
Espoirs27


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
1Rasmus Asplund0X100.006642977769588063406660712564645980630261825,000$
2Brandon Biro0X100.006960916761666670507167616047476281620252762,500$
3Charles Hudon0XX100.007368816368808468806272646547476480620291935,000$
4Justin Richards0X100.007269746470778164766659615347475883600251850,000$
5Isak Rosen (R)0X100.006858936961727561506059595547475880590204925,000$
6Luke Toporowski (R)0X100.007166816769636462505664605947475981590221750,000$
7Brian Halonen0X100.007574787077565657505161605847475881590241925,000$
8Samuel Houde (R)0X100.006964836867707452674555565447475581560231750,000$
9Jeremy McKenna0X100.007162916363515058505557605545455931550241937,500$
10Henrik Rybinski (R)0XX100.007265886767636651655246594546465347550223975,000$
11Marc Gatcomb (R)0XXX100.007572826775586148614645584447475074550241825,000$
12Greg Meireles0X100.007265876966535451644751604845455422540241800,000$
13Casey Fitzgerald0X100.007843967267596356255248782554545681620261750,000$
14Simon Nemec (R)0X100.007770878073656858254951654847475680610194950,000$
15Dean Stewart0X100.007875867176646850254538623747474970590251750,000$
16Matthew Kessel (R)0X100.007576716779596152254843603947475063580232883,750$
17Connor Corcoran (R)0X100.007670926873434058254852634947475460570231950,000$
18Vincent Sevigny (R)0X100.007773836675697449254042614046465256570221750,000$
Rayé
1Linus Weissbach (R)0X100.006458796459798460505860565745456120570251842,500$
2Keean Washkurak (R)0X100.0067627864636771536643585856454557195402221,078,125$
3Daniel D'Amato (R)0X100.007466936767606347504644594245455322540221937,500$
4Matej Pekar (R)0XX100.007364936564515249614844604244445320530231764,167$
5Patrick Guay (R)0X100.006662766462596152654951574844445520530211937,500$
6Riley Bezeau (R)0X100.006468566668667147504247554544445120520211937,500$
7Cole Clayton (R)0X100.007576766577586246253540593946465053550231750,000$
8Andrew Perrott (R)0X100.007775806675555845253441613944445120550221875,000$
9Oskari Laaksonen (R)0X100.007165846365667148254040593844445220540241853,333$
10Darien Kielb0X100.007370816570545647253741593944445120530241750,000$
MOYENNE D’ÉQUIPE100.00726683676962665446505161474747555257
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
1Ryan Bednard (R)0100.00685555885056595557575155555081590261750,000$
2Isaac Poulter (R)0100.00485468674547505447483044444920500221750,000$
Rayé
MOYENNE D’ÉQUIPE100.0058556278485255555253415050505155
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Don Granato60606060996050USA571500,000$


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
1Rasmus AsplundRochester Americans (BUF)C72254166191915109123259751659.65%26147820.532182061110116893441.15%14756923100.89010012644
2Brandon BiroRochester Americans (BUF)LW722932616664090812337813912.45%27130018.0681220171130002826345.53%1236025000.9448134764
3Justin RichardsRochester Americans (BUF)C722334577145751311041804612712.78%30127317.6981422181090004665353.51%8264721000.9001438544
4Charles HudonRochester Americans (BUF)LW/RW722724511213880106742356414711.49%34138419.2311920211100003809259.50%1215223200.74393310343
5Isak RosenRochester Americans (BUF)RW72162844173325887116452909.76%20126817.62791622109000002051.56%643124000.6900122241
6Luke ToporowskiRochester Americans (BUF)LW72191029-1118709979208551179.13%32111215.46551017541013152040.00%453622000.5211356136
7Casey FitzgeraldRochester Americans (BUF)D7232629191210831309151463.30%119184025.5638119117000092100%03662000.3200002122
8Brian HalonenRochester Americans (BUF)LW72121325-354409772162511177.41%1595613.29112115000003057.14%704915000.5211233132
9Simon NemecRochester Americans (BUF)D72218201716112510210812340581.63%84178924.8614511109000082110%03968000.22005614000
10Marc GatcombRochester Americans (BUF)C/LW/RW6551217-59660816540163112.50%1093614.40123243000082046.46%198714000.3600444012
11Matthew KesselRochester Americans (BUF)D7241014-121816078754616198.70%49127717.74448772000044100%1717000.22009176010
12Connor CorcoranRochester Americans (BUF)D7221012-11016550695819193.45%57116316.15000012011121000%11336100.2100184001
13Samuel HoudeRochester Americans (BUF)C722911-2412593688726572.30%1893112.94000000000230047.57%6182224000.2400203000
14Henrik RybinskiRochester Americans (BUF)C/RW5237103383057448116413.70%1872313.91022026000011036.36%331320000.2800033100
15Dean StewartRochester Americans (BUF)D7219104887077893722252.70%61139419.371122109000188000%0649000.1400176000
16Linus WeissbachRochester Americans (BUF)LW31448-6262038267320455.48%444314.3100003000000047.37%19139000.3600130012
17Vincent SevignyRochester Americans (BUF)D471560135554348289133.57%3280917.22112346000131100%0618000.1500515000
18Keean WashkurakRochester Americans (BUF)C2515621351921439232.33%828011.2400000000000053.85%14356000.4301010000
19Daniel D'AmatoRochester Americans (BUF)RW2632523535269353168.57%828711.0500000000001020.00%568000.3500322010
20Jeremy McKennaRochester Americans (BUF)RW231341422020243513202.86%527812.0900000000000060.00%585000.2900220100
21Greg MeirelesRochester Americans (BUF)C151232151571114267.14%316511.0400000000000051.55%9721000.3600021000
22Riley BezeauRochester Americans (BUF)RW4011-100832110%04511.390000000000000%100000.4400000000
23Cole ClaytonRochester Americans (BUF)D5201104935372111370%124268.20000010000100050.00%205000.0500124001
24Andrew PerrottRochester Americans (BUF)D20000-100010000%080.410000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1296184306490901643107515391416224568713298.20%6722157616.655390143136116912321741381346.97%3847527495400.45931487889283432
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
1Ukko-Pekka LuukkonenBuffalo Sabres72412190.9262.1843152515721331243210.5483172012105
2Ryan BednardRochester Americans (BUF)20100.9292.185500228140000072000
Statistiques d’équipe totales ou en moyenne74412290.9262.18437025159216112572131727212105


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
Andrew PerrottRochester Americans (BUF)D222001-12-31Yes216 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm875,000$0$0$No------------------Lien
Brandon BiroRochester Americans (BUF)LW251998-12-31No161 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Brian HalonenRochester Americans (BUF)LW241999-12-31No205 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No------------------Lien / Lien NHL
Casey FitzgeraldRochester Americans (BUF)D261997-12-31No185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Charles HudonRochester Americans (BUF)LW/RW291994-12-31No190 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm935,000$0$0$No------------------Lien / Lien NHL
Cole ClaytonRochester Americans (BUF)D232000-12-31Yes209 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Connor CorcoranRochester Americans (BUF)D232000-12-31Yes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No------------------Lien / Lien NHL
Daniel D'AmatoRochester Americans (BUF)RW222001-12-31Yes176 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Lien
Darien KielbRochester Americans (BUF)D241999-12-31No181 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Dean StewartRochester Americans (BUF)D251998-12-31No201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Greg MeirelesRochester Americans (BUF)C241999-12-31No181 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------Lien / Lien NHL
Henrik RybinskiRochester Americans (BUF)C/RW222001-12-31Yes172 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------NoNo-------Lien
Isaac PoulterRochester Americans (BUF)G222001-12-31Yes174 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Isak RosenRochester Americans (BUF)RW202003-12-31Yes156 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------NoNoNo------
Jeremy McKennaRochester Americans (BUF)RW241999-12-31No174 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Lien / Lien NHL
Justin RichardsRochester Americans (BUF)C251998-12-31No190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No------------------Lien / Lien NHL
Keean WashkurakRochester Americans (BUF)C222001-12-31Yes170 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,078,125$0$0$No1,078,125$--------No--------Lien / Lien NHL
Linus WeissbachRochester Americans (BUF)LW251998-12-31Yes161 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm842,500$0$0$No------------------Lien / Lien NHL
Luke ToporowskiRochester Americans (BUF)LW222001-12-31Yes181 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Marc GatcombRochester Americans (BUF)C/LW/RW241999-12-31Yes194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No------------------Lien
Matej PekarRochester Americans (BUF)C/LW232000-12-31Yes170 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm764,167$0$0$No------------------Lien / Lien NHL
Matthew KesselRochester Americans (BUF)D232000-12-31Yes205 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm883,750$0$0$No883,750$--------No--------Lien / Lien NHL
Oskari LaaksonenRochester Americans (BUF)D241999-12-31Yes172 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm853,333$0$0$No------------------Lien / Lien NHL
Patrick GuayRochester Americans (BUF)C212002-12-31Yes179 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Lien
Rasmus AsplundRochester Americans (BUF)C261997-12-31No190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm825,000$0$0$No------------------Lien / Lien NHL
Riley BezeauRochester Americans (BUF)RW212002-12-31Yes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Lien
Ryan BednardRochester Americans (BUF)G261997-12-31 18:06:42Yes207 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Samuel HoudeRochester Americans (BUF)C232000-12-31Yes172 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Simon NemecRochester Americans (BUF)D192004-12-31Yes190 Lbs6 ft0NoNoN/ANoNo4FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$------NoNoNo------
Vincent SevignyRochester Americans (BUF)D222001-12-31Yes194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3023.37184 Lbs6 ft01.37850,646$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Charles HudonRasmus AsplundIsak Rosen30122
2Brandon BiroJustin RichardsHenrik Rybinski27122
3Luke ToporowskiSamuel HoudeMarc Gatcomb23122
4Brian HalonenGreg MeirelesJeremy McKenna20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldSimon Nemec30122
2Dean StewartMatthew Kessel27122
3Vincent SevignyConnor Corcoran23122
4Casey FitzgeraldSimon Nemec20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Charles HudonRasmus AsplundIsak Rosen50122
2Brandon BiroJustin RichardsHenrik Rybinski50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldSimon Nemec50122
2Dean StewartMatthew Kessel50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rasmus AsplundCharles Hudon50122
2Brandon BiroJustin Richards50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldSimon Nemec50122
2Dean StewartMatthew Kessel50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rasmus Asplund50122Casey FitzgeraldSimon Nemec50122
2Charles Hudon50122Dean StewartMatthew Kessel50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rasmus AsplundCharles Hudon50122
2Brandon BiroJustin Richards50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldSimon Nemec50122
2Dean StewartMatthew Kessel50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Charles HudonRasmus AsplundIsak RosenCasey FitzgeraldSimon Nemec
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Charles HudonRasmus AsplundIsak RosenCasey FitzgeraldSimon Nemec
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Luke Toporowski, Brian Halonen, Samuel HoudeLuke Toporowski, Brian HalonenSamuel Houde
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vincent Sevigny, Connor Corcoran, Dean StewartVincent SevignyConnor Corcoran, Dean Stewart
Tirs de pénalité
Rasmus Asplund, Charles Hudon, Brandon Biro, Justin Richards, Luke Toporowski
Gardien
#1 : , #2 : Ryan Bednard


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 Canucks30300000412-81010000014-32020000038-500.000461000237384131025687998476210028118663133.33%9455.56%0710144049.31%650140246.36%44796146.51%145475414467111474723
2Bakersfield Condors2010001034-1100000102111010000013-220.5003470023738413645687998476258144635300.00%3166.67%0710144049.31%650140246.36%44796146.51%145475414467111474723
3Belleville Senators3110001010911010000023-12100001086240.66710162600237384131185687998476210321836010550.00%8362.50%0710144049.31%650140246.36%44796146.51%145475414467111474723
4Bridgeport Islanders210001006601000010023-11100000043130.7506111700237384137456879984762631539472150.00%2150.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
5Calgary Wranglers22000000853110000003211100000053241.0008122000237384136656879984762692658426233.33%4250.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
6Charlotte Checkers210000014311000000112-11100000031230.750481200237384138156879984762371736584125.00%3166.67%0710144049.31%650140246.36%44796146.51%145475414467111474723
7Chicago Wolves3010100168-22010100056-11000000112-130.500681400237384136956879984762692971684125.00%8275.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
8Cleveland Monsters402010011014-430101001810-21010000024-230.3751014241023738413140568799847621344289809333.33%12466.67%0710144049.31%650140246.36%44796146.51%145475414467111474723
9Coachella Valley Firebirds20002000532100010001011000100043141.00058130123738413395687998476237699464125.00%7357.14%0710144049.31%650140246.36%44796146.51%145475414467111474723
10Colorado Eagles32100000972110000004222110000055040.6679162500237384138056879984762783356718562.50%3166.67%0710144049.31%650140246.36%44796146.51%145475414467111474723
11Grand Rapids Griffins22000000624110000002021100000042241.0006101601237384135656879984762351929585240.00%2150.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
12Hartford Wolf Pack22000000624110000004131100000021141.0006101600237384136556879984762611738452150.00%4175.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
13Henderson Silver Knights2020000046-21010000034-11010000012-100.0004590023738413645687998476276172155200.00%3233.33%0710144049.31%650140246.36%44796146.51%145475414467111474723
14Hershey Bears22000000743110000003211100000042241.000714210023738413755687998476269262449300.00%2150.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
15Iowa Wild2110000057-2110000004221010000015-420.5005101500237384135956879984762712175356233.33%5420.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
16Laval Rocket321000001073110000002112110000086240.667101727002373841375568799847627420885511654.55%4175.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
17Lehigh Valley Phantoms2020000035-21010000012-11010000023-100.00036900237384135856879984762811852374125.00%6183.33%0710144049.31%650140246.36%44796146.51%145475414467111474723
18Manitoba Moose21100000440110000003121010000013-220.500481200237384134656879984762722224374125.00%20100.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
19Milwaukee Admirals2110000056-11010000025-31100000031220.500591400237384138456879984762643654325240.00%220.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
20Ontario Reign22000000624110000003121100000031241.000691500237384134556879984762651712283266.67%10100.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
21Providence Bruins22000000633110000004221100000021141.00061218002373841378568799847625915374310220.00%110.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
22Rockford IceHogs2010000136-31000000123-11010000013-210.2503470023738413615687998476270173828500.00%4250.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
23San Diego Gulls21100000532110000004131010000012-120.500591400237384136956879984762572337486233.33%10100.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
24San Jose Barracuda22000000954110000005321100000042241.0009152400237384138056879984762741349457114.29%2150.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
25Springfield Thunderbirds210000015501000000134-11100000021130.75059140023738413565687998476247166144400.00%3233.33%0710144049.31%650140246.36%44796146.51%145475414467111474723
26Syracuse Crunch32000001853110000003032100000155050.8338132101237384138556879984762541922765240.00%6183.33%0710144049.31%650140246.36%44796146.51%145475414467111474723
27Texas Stars210000014311000000123-11100000020230.750461001237384134656879984762492268335120.00%40100.00%1710144049.31%650140246.36%44796146.51%145475414467111474723
28Toronto Marlies3110010057-2210001003301010000024-230.500581300237384139456879984762102305456400.00%7185.71%0710144049.31%650140246.36%44796146.51%145475414467111474723
29Tucson Roadrunners211000006421010000013-21100000051420.500681400237384137156879984762762049403133.33%7271.43%0710144049.31%650140246.36%44796146.51%145475414467111474723
30Utica Comets321000001073211000006511100000042240.66710162600237384139056879984762922963718450.00%4250.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
31Wilkes-Barre Scranton Penguins21000010532110000003211000001021141.000551000237384135556879984762662455516350.00%5180.00%0710144049.31%650140246.36%44796146.51%145475414467111474723
Total723422042371871672036169032159281113618130102295869910.63218730649314237384132245568799847622162672164515391615332.92%1344864.18%1710144049.31%650140246.36%44796146.51%145475414467111474723
_Since Last GM Reset723422042371871672036169032159281113618130102295869910.63218730649314237384132245568799847622162672164515391615332.92%1344864.18%1710144049.31%650140246.36%44796146.51%145475414467111474723
_Vs Conference381811012249992719850120346442191060002153485480.6329916526411237384131246568799847621142337859838853035.29%762567.11%0710144049.31%650140246.36%44796146.51%145475414467111474723
_Vs Division20890111253494124401101323118450001121183230.5755384137102373841362656879984762635200431448381436.84%431369.77%0710144049.31%650140246.36%44796146.51%145475414467111474723

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7291W1187306493224521626721645153914
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7234224237187167
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3616932159281
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
36181310229586
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1615332.92%1344864.18%1
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
5687998476223738413
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
710144049.31%650140246.36%44796146.51%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
145475414467111474723


Derniers matchs joués
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
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
18Cleveland Monsters4Rochester Americans2LSommaire du match
215Rochester Americans1Abbotsford Canucks5LSommaire du match
538Rochester Americans3Belleville Senators2WSommaire du match
648Toronto Marlies2Rochester Americans1LXSommaire du match
973Cleveland Monsters3Rochester Americans4WXSommaire du match
1075Rochester Americans0Syracuse Crunch1LXXSommaire du match
13105Rochester Americans2Colorado Eagles3LSommaire du match
15116Chicago Wolves3Rochester Americans4WXSommaire du match
18137Manitoba Moose1Rochester Americans3WSommaire du match
20154Rochester Americans2Texas Stars0WSommaire du match
22167Utica Comets2Rochester Americans1LSommaire du match
24185Rochester Americans1Iowa Wild5LSommaire du match
26200Laval Rocket1Rochester Americans2WSommaire du match
27212Rochester Americans4Laval Rocket5LSommaire du match
30233Bakersfield Condors1Rochester Americans2WXXSommaire du match
32246Rochester Americans1Bakersfield Condors3LSommaire du match
34264Rochester Americans1Rockford IceHogs3LSommaire du match
36277Ontario Reign1Rochester Americans3WSommaire du match
38297Iowa Wild2Rochester Americans4WSommaire du match
39305Rochester Americans5Belleville Senators4WXXSommaire du match
42328Grand Rapids Griffins0Rochester Americans2WSommaire du match
44345Rochester Americans3Colorado Eagles2WSommaire du match
45356Rochester Americans2Toronto Marlies4LSommaire du match
47368Chicago Wolves3Rochester Americans1LSommaire du match
50392Hartford Wolf Pack1Rochester Americans4WSommaire du match
52412Rochester Americans2Providence Bruins1WSommaire du match
53425Cleveland Monsters3Rochester Americans2LXXSommaire du match
55439Rochester Americans2Springfield Thunderbirds1WSommaire du match
58458Rochester Americans5Calgary Wranglers3WSommaire du match
59470Milwaukee Admirals5Rochester Americans2LSommaire du match
62488Charlotte Checkers2Rochester Americans1LXXSommaire du match
64507Rochester Americans3Milwaukee Admirals1WSommaire du match
66521Bridgeport Islanders3Rochester Americans2LXSommaire du match
69544Rochester Americans1Chicago Wolves2LXXSommaire du match
71556Providence Bruins2Rochester Americans4WSommaire du match
73573Rochester Americans4Grand Rapids Griffins2WSommaire du match
75587Rockford IceHogs3Rochester Americans2LXXSommaire du match
77607Rochester Americans3Charlotte Checkers1WSommaire du match
78617Rochester Americans4Bridgeport Islanders3WSommaire du match
80630Hershey Bears2Rochester Americans3WSommaire du match
82653Tucson Roadrunners3Rochester Americans1LSommaire du match
84670Rochester Americans2Hartford Wolf Pack1WSommaire du match
85683Rochester Americans4Laval Rocket1WSommaire du match
87696Texas Stars3Rochester Americans2LXXSommaire du match
88709Rochester Americans1Henderson Silver Knights2LSommaire du match
91729Henderson Silver Knights4Rochester Americans3LSommaire du match
93746Rochester Americans5Syracuse Crunch4WSommaire du match
94759Utica Comets3Rochester Americans5WSommaire du match
96776Syracuse Crunch0Rochester Americans3WSommaire du match
98790Rochester Americans3Ontario Reign1WSommaire du match
100805Rochester Americans4Coachella Valley Firebirds3WXSommaire du match
102822Springfield Thunderbirds4Rochester Americans3LXXSommaire du match
104841Toronto Marlies1Rochester Americans2WSommaire du match
106859Rochester Americans2Abbotsford Canucks3LSommaire du match
107865Rochester Americans2Wilkes-Barre Scranton Penguins1WXXSommaire du match
108878Rochester Americans4Hershey Bears2WSommaire du match
110891Coachella Valley Firebirds0Rochester Americans1WXSommaire du match
112905Rochester Americans4San Jose Barracuda2WSommaire du match
114922Colorado Eagles2Rochester Americans4WSommaire du match
115933Rochester Americans1Manitoba Moose3LSommaire du match
118956Abbotsford Canucks4Rochester Americans1LSommaire du match
121978Belleville Senators3Rochester Americans2LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
123993Rochester Americans5Tucson Roadrunners1WSommaire du match
1241010San Jose Barracuda3Rochester Americans5WSommaire du match
1261020Rochester Americans2Lehigh Valley Phantoms3LSommaire du match
1271035Rochester Americans2Cleveland Monsters4LSommaire du match
1291051Lehigh Valley Phantoms2Rochester Americans1LSommaire du match
1321073Calgary Wranglers2Rochester Americans3WSommaire du match
1351098Wilkes-Barre Scranton Penguins2Rochester Americans3WSommaire du match
1381122Rochester Americans4Utica Comets2WSommaire du match
1391123Rochester Americans1San Diego Gulls2LSommaire du match
1411139San Diego Gulls1Rochester Americans4WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5525
Assistance51,43423,650
Assistance PCT71.44%65.69%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2086 - 69.52% 95,003$3,420,120$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,213,959$ 2,551,938$ 2,551,938$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,713,998$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 21,048$ 0$




Rochester Americans 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

Rochester Americans 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

Rochester Americans 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

Rochester Americans 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

Rochester Americans 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