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Americans
GP: 4 | W: 2 | L: 2 | OTL: 0 | P: 4
GF: 18 | GA: 8 | PP%: 21.43% | PK%: 62.50%
DG: Steven Paradis | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #72 vs Roadrunners

Centre de jeu
Wild
3-1-0, 6pts
3
2 Americans
2-2-0, 4pts
Team Stats
L1SéquenceL2
1-0-0Fiche domicile1-2-0
2-1-0Fiche domicile1-0-0
3-1-0Derniers 10 matchs2-2-0
3.00Buts par match 4.50
2.50Buts contre par match 2.00
21.43%Pourcentage en avantage numérique21.43%
78.57%Pourcentage en désavantage numérique62.50%
Stars
3-1-0, 6pts
2
1 Americans
2-2-0, 4pts
Team Stats
W3SéquenceL2
1-1-0Fiche domicile1-2-0
2-0-0Fiche domicile1-0-0
3-1-0Derniers 10 matchs2-2-0
3.25Buts par match 4.50
3.00Buts contre par match 2.00
38.46%Pourcentage en avantage numérique21.43%
81.82%Pourcentage en désavantage numérique62.50%
Roadrunners
4-0-1, 9pts
2026-10-10
Americans
2-2-0, 4pts
Statistiques d’équipe
W1SéquenceL2
1-0-0Fiche domicile1-2-0
3-0-1Fiche visiteur1-0-0
4-0-110 derniers matchs2-2-0
5.60Buts par match 4.50
2.20Buts contre par match 4.50
25.00%Pourcentage en avantage numérique21.43%
66.67%Pourcentage en désavantage numérique62.50%
Checkers
0-4-0, 0pts
2026-10-12
Americans
2-2-0, 4pts
Statistiques d’équipe
L4SéquenceL2
0-0-0Fiche domicile1-2-0
0-4-0Fiche visiteur1-0-0
0-4-010 derniers matchs2-2-0
1.50Buts par match 4.50
10.00Buts contre par match 4.50
0.00%Pourcentage en avantage numérique21.43%
75.00%Pourcentage en désavantage numérique62.50%
Americans
2-2-0, 4pts
2026-10-13
Rocket
0-4-0, 0pts
Statistiques d’équipe
L2SéquenceL4
1-2-0Fiche domicile0-2-0
1-0-0Fiche visiteur0-2-0
2-2-010 derniers matchs0-4-0
4.50Buts par match 1.00
2.00Buts contre par match 1.00
21.43%Pourcentage en avantage numérique0.00%
62.50%Pourcentage en désavantage numérique33.33%
Meneurs d'équipe
Patrick BrownButs
Patrick Brown
4
Patrick BrownPasses
Patrick Brown
3
Patrick BrownPoints
Patrick Brown
7
Dylan GambrellPlus/Moins
Dylan Gambrell
7
Vitek VanecekVictoires
Vitek Vanecek
2
Vitek VanecekPourcentage d’arrêts
Vitek Vanecek
0.908

Statistiques d’équipe
Buts pour
18
4.50 GFG
Tirs pour
179
44.75 Avg
Pourcentage en avantage numérique
21.4%
3 GF
Début de zone offensive
49.6%
Buts contre
8
2.00 GAA
Tirs contre
87
21.75 Avg
Pourcentage en désavantage numérique
62.5%%
3 GA
Début de la zone défensive
28.9%
Informations de l'équipe

Directeur généralSteven Paradis
EntraîneurBrock Sheahan
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance4,897
Billets de saison3,750


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 70
Espoirs35


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
1Calum Ritchie (R)X100.00683990718082866775686463686163040660223925,000$
2Patrick BrownX100.00833982648188876266635869617479040660352925,000$
3Matt RempeXX100.008987686699747663565557625864660406402531,499,999$
4Matthew HighmoreX100.00693692647178856265605668597072040640312925,000$
5Trey Fix-WolanskyX100.005742646665958665626467616668690406402831,000,008$
6Dylan GambrellX100.00603787626985766169636065627072040630312925,000$
7Rem PitlickXX100.006138836770787662696659616369710406303011,299,000$
8Gabe KlassenX100.005736916166788258636059566163650406102431,000,008$
9Zayde WisdomX100.00623885577178865662595860556466040610253999,999$
10Rafael Harvey-PinardX100.006136876265778059615857556267690406102811,406,000$
11Jonathan GrudenX100.006041715969738458615657555966680406002711,025,000$
12Shane BowersXX100.00714080587872775666555257546769040600282925,000$
13Ty EmbersonX100.007443926873868863307055804966670406602721,400,000$
14Jonathan AspirotX100.006843756677828463306657655067690406402811,000,000$
15Nikolas MatinpaloX100.00753987678683816230635466486870040640282925,000$
16Jacob Bernard-DockerX100.006941876577847964306655695067660406402731,499,999$
17Jordan HarrisX100.006534956672806763307058625066680406402721,000,000$
18Lleyton MooreX100.00573595566466715530585354466466040580251925,000$
Rayé
1Mark LiwiskiX100.00675750567665775358525457556567040580261925,000$
2Ivan Ryabkin (R)X100.00604556586973715761595253545961040570203925,000$
MOYENNE D’ÉQUIPE100.0067428163747980605462576257666804062
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
1Vitek Vanecek100.00828075778180828180828174840407003125,200,000$
2Carson Bjarnason (R)100.0072837981717072717072716165040650223925,000$
Rayé
MOYENNE D’ÉQUIPE100.007782777976757776757776687504068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brock Sheahan67636974615885CAN421500,000$


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
1Patrick BrownAmericans (BUF)C4437520571841522.22%27518.92123410000020053.26%9200011.8500000100
2Ty EmbersonAmericans (BUF)D433634056126725.00%39924.7720261300004100%000001.2100000101
3Dylan GambrellAmericans (BUF)C413470005195115.26%17218.0000000000090076.00%2500001.1100000000
4Calum RitchieAmericans (BUF)C4134320412237234.35%18922.25000613000020064.46%12100000.9000000000
5Matt RempeAmericans (BUF)C/RW422456091130815.38%05213.13000000000000100.00%400001.5200000000
6Jordan HarrisAmericans (BUF)D413440010940225.00%35914.900000000001000%000001.3400000010
7Nikolas MatinpaloAmericans (BUF)D40332201043360%38120.3801121000006000%000000.7400000000
8Shane BowersAmericans (BUF)C/RW41233004370314.29%06817.0801101000000000%100000.8800000000
9Zayde WisdomAmericans (BUF)C420240015110418.18%05112.850000000000000%300000.7800000000
10Rafael Harvey-PinardAmericans (BUF)LW41123003191011.11%09223.15000013000081028.57%700000.4300000010
11Lleyton MooreAmericans (BUF)D4022500310000%05814.580000000000000%000000.6900000000
12Jonathan AspirotAmericans (BUF)D41123205681412.50%89423.5400011300004000%000000.4200000010
13Trey Fix-WolanskyAmericans (BUF)RW411210068167166.25%08020.13000413000000062.50%800000.5000000000
14Jacob Bernard-DockerAmericans (BUF)D40222002310340%68822.0200041000008000%000000.4500000000
15Jonathan GrudenAmericans (BUF)C4000-200504010%0194.8300000000000042.86%210000000000000
16Gabe KlassenAmericans (BUF)C4000-200222040%1307.7200011000000000%10000000000000
17Matthew HighmoreAmericans (BUF)C40004002718370%15413.6700000000030065.52%580000000000000
18Rem PitlickAmericans (BUF)C/RW3000-200012240%0196.47000000000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne711829474818076811794211910.06%29118716.72347281190000522059.94%34200010.7900000231
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
1Vitek VanecekAmericans (BUF)42200.9082.02238018870100040000
Statistiques d’équipe totales ou en moyenne42200.9082.0223801887010040000


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Calum RitchieAmericans (BUF)C222005-01-21CANYes200 Lbs188 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Carson BjarnasonAmericans (BUF)G222005-06-30CANYes186 Lbs191 CMNoNoProspectNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Dylan GambrellAmericans (BUF)C311996-08-26USANo185 Lbs180 CMNoNoFree AgentYesYes22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Gabe KlassenAmericans (BUF)C242003-06-30CANNo178 Lbs178 CMNoNoFree AgentNoNo32026-08-01FalseFalsePro & Farm1,000,008$0$0$No1,000,008$1,000,008$-------1,000,008$1,000,008$-------NoNo-------Lien / Lien NHL
Ivan RyabkinAmericans (BUF)C202007-04-25RUSYes185 Lbs180 CMNoNoDraftNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------924,000$924,000$-------NoNo-------Lien / Lien NHL
Jacob Bernard-DockerAmericans (BUF)D272000-06-30CANNo196 Lbs185 CMNoNoFree Agent2025-05-25NoYes32026-07-25FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Jonathan AspirotAmericans (BUF)D281999-05-16CANNo212 Lbs183 CMNoNoAssign ManuallyNoNo12024-07-22FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Jonathan GrudenAmericans (BUF)C272000-05-04USANo172 Lbs183 CMNoNoAssign ManuallyNoNo12024-07-22FalseFalsePro & Farm1,025,000$0$0$No---------------------------Lien / Lien NHL
Jordan HarrisAmericans (BUF)D272000-07-07USANo189 Lbs183 CMNoNoFree Agent2024-07-21NoNo22025-07-13FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Lleyton MooreAmericans (BUF)D252002-02-27CANNo178 Lbs173 CMNoNoTrade2025-08-26NoNo12024-05-23FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Mark LiwiskiAmericans (BUF)C262001-08-08CANNo195 Lbs185 CMNoNoFree AgentNoNo12025-07-26FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Matt RempeAmericans (BUF)C/RW252002-06-29CANNo261 Lbs206 CMNoNoFree Agent2024-06-30NoNo32026-07-25FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Matthew HighmoreAmericans (BUF)C311996-02-27CANNo186 Lbs180 CMNoNoFree AgentYesYes22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Nikolas MatinpaloAmericans (BUF)D281998-10-05FINNo213 Lbs191 CMNoNoFree AgentNoNo22025-07-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Patrick BrownAmericans (BUF)C351992-05-29USANo218 Lbs185 CMNoNoTrade2026-01-15YesYes22025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Rafael Harvey-PinardAmericans (BUF)LW281999-01-06CANNo179 Lbs175 CMNoNoN/ANoNo12024-06-05FalseFalsePro & Farm1,406,000$0$0$No---------------------------Lien / Lien NHL
Rem PitlickAmericans (BUF)C/RW301997-04-02USANo186 Lbs180 CMNoNoTrade2025-07-22YesYes1FalseFalsePro & Farm1,299,000$0$0$No---------------------------Lien / Lien NHL
Shane BowersAmericans (BUF)C/RW281999-07-30CANNo186 Lbs188 CMNoNoTrade2025-08-26NoNo22025-07-13FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Trey Fix-WolanskyAmericans (BUF)RW281999-05-26CANNo191 Lbs170 CMNoNoFree Agent2025-01-26NoNo32026-08-01FalseFalsePro & Farm1,000,008$0$0$No1,000,008$1,000,008$-------1,000,008$1,000,008$-------NoNo-------Lien / Lien NHL
Ty EmbersonAmericans (BUF)D272000-05-23USANo193 Lbs183 CMNoNoFree AgentNoNo22025-07-13FalseFalsePro & Farm1,400,000$0$0$No1,400,000$--------1,400,000$--------No--------Lien / Lien NHL
Vitek Vanecek (contrat à 1 volet)Americans (BUF)G311996-01-09CZENo184 Lbs188 CMNoNoTrade2026-08-01YesYes22024-07-04FalseFalsePro & Farm5,200,000$5,200,000$4,890,811$No5,200,000$--------5,200,000$--------No--------Lien / Lien NHL
Zayde WisdomAmericans (BUF)C252002-07-07CANNo195 Lbs180 CMNoNoFree AgentNoNo32026-08-01FalseFalsePro & Farm999,999$0$0$No999,999$999,999$-------999,999$999,999$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2227.05194 Lbs183 CM2.091,253,637$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rafael Harvey-PinardCalum RitchieTrey Fix-Wolansky40122
2Dylan GambrellPatrick BrownShane Bowers30122
3Zayde WisdomMatthew HighmoreMatt Rempe20122
4Gabe KlassenJonathan GrudenRem Pitlick10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty EmbersonJonathan Aspirot40122
2Nikolas MatinpaloJacob Bernard-Docker30122
3Jordan HarrisLleyton Moore20122
4Ty EmbersonJonathan Aspirot10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rafael Harvey-PinardCalum RitchieTrey Fix-Wolansky60122
2Gabe KlassenPatrick BrownShane Bowers40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty EmbersonJonathan Aspirot60122
2Nikolas MatinpaloJacob Bernard-Docker40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dylan GambrellRafael Harvey-Pinard60122
2Patrick BrownMatthew Highmore40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty EmbersonJonathan Aspirot60122
2Nikolas MatinpaloJacob Bernard-Docker40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Calum Ritchie60122Ty EmbersonJonathan Aspirot60122
2Patrick Brown40122Nikolas MatinpaloJacob Bernard-Docker40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Calum RitchieRafael Harvey-Pinard60122
2Patrick BrownDylan Gambrell40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty EmbersonJonathan Aspirot60122
2Nikolas MatinpaloJacob Bernard-Docker40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rafael Harvey-PinardCalum RitchieMatt RempeTy EmbersonJonathan Aspirot
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trey Fix-WolanskyPatrick BrownShane BowersNikolas MatinpaloJacob Bernard-Docker
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan Gambrell, Rafael Harvey-Pinard, Gabe KlassenDylan Gambrell, Rafael Harvey-PinardDylan Gambrell
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob Bernard-Docker, Jordan Harris, Lleyton MooreJacob Bernard-DockerJacob Bernard-Docker, Jordan Harris
Tirs de pénalité
Calum Ritchie, Patrick Brown, Matt Rempe, Trey Fix-Wolansky, Dylan Gambrell
Gardien
#1 : Vitek Vanecek, #2 : Carson Bjarnason


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
1IceHogs10001000431100010004310000000000021.000471100863142675456224114216116.67%10100.00%010116860.12%589859.18%467363.01%1209069244928
2Monsters110000001101100000000000110000001101121.00011182901863184675456217502211100.00%000%010116860.12%589859.18%467363.01%1209069244928
3Stars1010000012-11010000012-10000000000000.000123008631206754562153417200.00%2150.00%010116860.12%589859.18%467363.01%1209069244928
4Wild1010000023-11010000023-10000000000000.000224008631336754562311010165120.00%5260.00%010116860.12%589859.18%467363.01%1209069244928
Total41201000188103020100078-1110000001101140.50018294701863117967545628729187614321.43%8362.50%010116860.12%589859.18%467363.01%1209069244928
_Since Last GM Reset41201000188103020100078-1110000001101140.50018294701863117967545628729187614321.43%8362.50%010116860.12%589859.18%467363.01%1209069244928
_Vs Conference110000001101100000000000110000001101121.00011182901863184675456217502211100.00%000%010116860.12%589859.18%467363.01%1209069244928

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
44L21829471798729187601
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4121000188
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
302100078
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1100000110
Derniers 10 matchs
WLOTWOTL SOWSOL
220000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
14321.43%8362.50%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
67545628631
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
10116860.12%589859.18%467363.01%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1209069244928


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
3 - 2026-10-0110Americans11Monsters0WSommaire du match
5 - 2026-10-0330IceHogs3Americans4WXSommaire du match
8 - 2026-10-0648Wild3Americans2LSommaire du match
10 - 2026-10-0863Stars2Americans1LSommaire du match
12 - 2026-10-1072Roadrunners-Americans-
14 - 2026-10-1287Checkers-Americans-
15 - 2026-10-1392Americans-Rocket-
17 - 2026-10-15115Americans-Marlies-
19 - 2026-10-17123Americans-Rocket-
23 - 2026-10-21153Phantoms-Americans-
26 - 2026-10-24168Americans-Bears-
29 - 2026-10-27198Americans-Barracuda-
31 - 2026-10-29208Americans-Gulls-
33 - 2026-10-31225Americans-Reign-
37 - 2026-11-04250Senators-Americans-
39 - 2026-11-06264Monsters-Americans-
41 - 2026-11-08277Silver Knights-Americans-
44 - 2026-11-11298Crunch-Americans-
45 - 2026-11-12304Americans-IceHogs-
47 - 2026-11-14316Americans-Stars-
50 - 2026-11-17334Americans-Phantoms-
52 - 2026-11-19347Americans-Bears-
53 - 2026-11-20364Americans-Checkers-
54 - 2026-11-21375Americans-Crunch-
57 - 2026-11-24390Wolf Pack-Americans-
58 - 2026-11-25406Penguins-Americans-
62 - 2026-11-29437Americans-Condors-
64 - 2026-12-01456Americans-Heat-
65 - 2026-12-02461Americans-Canucks-
67 - 2026-12-04478Americans-Firebirds-
71 - 2026-12-08504Condors-Americans-
73 - 2026-12-10521Gulls-Americans-
75 - 2026-12-12531Americans-Senators-
76 - 2026-12-13538Heat-Americans-
79 - 2026-12-16560Rocket-Americans-
81 - 2026-12-18581Reign-Americans-
83 - 2026-12-20600Americans-Penguins-
84 - 2026-12-21611Comets-Americans-
86 - 2026-12-23624Griffins-Americans-
88 - 2026-12-25639Americans-Checkers-
91 - 2026-12-28660Americans-Crunch-
93 - 2026-12-30675Moose-Americans-
94 - 2026-12-31685Americans-Bruins-
97 - 2027-01-03705Americans-Monsters-
98 - 2027-01-04718Wolves-Americans-
101 - 2027-01-07736Comets-Americans-
103 - 2027-01-09743Eagles-Americans-
105 - 2027-01-11762Admirals-Americans-
107 - 2027-01-13783Rocket-Americans-
109 - 2027-01-15797Americans-Sound Tigers-
110 - 2027-01-16804Firebirds-Americans-
113 - 2027-01-19824Americans-Moose-
116 - 2027-01-22846Americans-Roadrunners-
117 - 2027-01-23850Americans-Silver Knights-
119 - 2027-01-25875Americans-Eagles-
123 - 2027-01-29889Sound Tigers-Americans-
129 - 2027-02-04917Americans-Wolves-
131 - 2027-02-06930Americans-Wolf Pack-
134 - 2027-02-09956Wolves-Americans-
136 - 2027-02-11973Americans-Comets-
137 - 2027-02-12978Americans-Griffins-
140 - 2027-02-151002Americans-Phantoms-
142 - 2027-02-171017Senators-Americans-
143 - 2027-02-181026Marlies-Americans-
146 - 2027-02-211044Penguins-Americans-
148 - 2027-02-231059Thunderbirds-Americans-
150 - 2027-02-251075Wolf Pack-Americans-
151 - 2027-02-261084Americans-Senators-
153 - 2027-02-281097Canucks-Americans-
156 - 2027-03-031118Americans-Griffins-
158 - 2027-03-051136Americans-Wild-
159 - 2027-03-061146Barracuda-Americans-
162 - 2027-03-091163Bears-Americans-
164 - 2027-03-111177Checkers-Americans-
165 - 2027-03-121191Americans-Sound Tigers-
167 - 2027-03-141196Americans-Bruins-
169 - 2027-03-161217Marlies-Americans-
172 - 2027-03-191242Americans-Thunderbirds-
174 - 2027-03-211258Americans-Admirals-
176 - 2027-03-231266Bruins-Americans-
178 - 2027-03-251287Americans-Marlies-
180 - 2027-03-271296Crunch-Americans-
182 - 2027-03-291315Bruins-Americans-
185 - 2027-04-011339Griffins-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance8,8305,862
Assistance PCT98.11%97.70%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 4897 - 97.95% 150,224$450,672$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
162,800$ 2,238,002$ 2,238,002$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 133,067$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,708,512$ 174 14,800$ 2,575,200$




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

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

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

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

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