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Americans
GP: 43 | W: 21 | L: 18 | OTL: 4 | P: 46
GF: 147 | GA: 142 | PP%: 20.00% | PK%: 74.56%
DG: Cédric Racine | Morale : 48 | Moyenne d’équipe : 64
Prochains matchs #666 vs Wolf Pack
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Centre de jeu
Griffins
28-10-3, 59pts
2
FINAL
4 Americans
21-18-4, 46pts
Team Stats
W1SéquenceL1
15-3-2Fiche domicile13-4-3
13-7-1Fiche domicile8-14-1
7-3-0Derniers 10 matchs4-5-1
3.39Buts par match 3.42
2.80Buts contre par match 3.30
19.17%Pourcentage en avantage numérique20.00%
72.65%Pourcentage en désavantage numérique74.56%
Americans
21-18-4, 46pts
1
FINAL
3 BruinsF
19-15-7, 45pts
Team Stats
L1SéquenceW1
13-4-3Fiche domicile12-6-3
8-14-1Fiche domicile7-9-4
4-5-1Derniers 10 matchs4-3-3
3.42Buts par match 3.27
3.30Buts contre par match 3.37
20.00%Pourcentage en avantage numérique25.38%
74.56%Pourcentage en désavantage numérique78.99%
Americans
21-18-4, 46pts
2024-12-04
Wolf Pack
22-17-3, 47pts
Statistiques d’équipe
L1SéquenceSOL1
13-4-3Fiche domicile11-8-1
8-14-1Fiche visiteur11-9-2
4-5-110 derniers matchs5-4-1
3.42Buts par match 3.14
3.30Buts contre par match 3.14
20.00%Pourcentage en avantage numérique21.37%
74.56%Pourcentage en désavantage numérique80.15%
BruinsF
19-15-7, 45pts
2024-12-05
Americans
21-18-4, 46pts
Statistiques d’équipe
W1SéquenceL1
12-6-3Fiche domicile13-4-3
7-9-4Fiche visiteur8-14-1
4-3-310 derniers matchs4-5-1
3.27Buts par match 3.42
3.37Buts contre par match 3.42
25.38%Pourcentage en avantage numérique20.00%
78.99%Pourcentage en désavantage numérique74.56%
Americans
21-18-4, 46pts
2024-12-08
Marlies
20-17-5, 45pts
Statistiques d’équipe
L1SéquenceL1
13-4-3Fiche domicile11-6-3
8-14-1Fiche visiteur9-11-2
4-5-110 derniers matchs5-5-0
3.42Buts par match 3.45
3.30Buts contre par match 3.45
20.00%Pourcentage en avantage numérique20.93%
74.56%Pourcentage en désavantage numérique83.44%
Meneurs d'équipe
Buts
Sven Andrighetto
14
Passes
David Rundblad
25
Points
Anton Blidh
35
Plus/Moins
David Rundblad
14
Victoires
Olivier Roy
13
Pourcentage d’arrêts
Matej Tomek
0.905

Statistiques d’équipe
Buts pour
147
3.42 GFG
Tirs pour
1372
31.91 Avg
Pourcentage en avantage numérique
20.0%
25 GF
Début de zone offensive
40.0%
Buts contre
142
3.30 GAA
Tirs contre
1356
31.53 Avg
Pourcentage en désavantage numérique
74.6%%
29 GA
Début de la zone défensive
40.4%
Informations de l'équipe

Directeur généralCédric Racine
EntraîneurJack Capuano
DivisionDivision Nord-Est
ConférenceConference 1
Capitaine
Assistant #1Nikolay Goldobin
Assistant #2Tanner Kero


Informations de l’aréna

Capacité3,000
Assistance2,296
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 56
Espoirs11


Historique d'équipe

Saison actuelle21-18-4 (46PTS)
Historique63-53-10 (0.500%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)10 - 7 (0.588%)
Coupe Stanley0


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
1Matt MartinXX100.0079758075747185726068687166926234566703512,000,000$
2Anton BlidhXX100.0081457773717978726372717270635156566602911,500,000$
3Dmitri JaskinXX99.0066408868706772706670737170676252596603112,000,000$
4Matthew PecaXX100.0059439870697472737670727770605150596603112,000,000$
5Tanner Kero (A)X100.0062459772697675697871656863665350596503212,500,000$
6Sven AndrighettoXX99.0058399568647380705974696979685952596503111,500,000$
7Scott WilsonX99.0064449771687086707369687366765046596503221,500,000$
8Nikolay Goldobin (A)XX100.0056409274687173666966706270795754596402921,100,000$
9Drake RymshaX99.007457787269737270696969746050476059640262750,000$
10Sheldon DriesXX100.0062459672677469696468706971585053596403012,500,000$
11Ty RonningXX100.0063458672667076695969727059575160606402721,100,000$
12Stephane Da CostaX100.0064548471676563676368686666524738206203511,700,000$
13Christian DjoosX100.0061449277677385744574687259755354456703012,000,000$
14Jon MerrillX100.0062459372737181714568677365785646596603221,700,000$
15Cale FleuryX100.007246927071727471456861745656486049650262900,000$
16Andrey PedanX100.0081688069777173714568687166534753456503121,500,000$
17David RundbladX100.0059449771716867704568677065564742596403421,300,000$
18Yohann AuvituX99.0058449570696871714570707270574838596403511,500,000$
Rayé
1Dominic TurgeonX64.5568458672706875707570687660604958496502811,200,000$
2Ondrej KaseXX100.0061459871707278706269686966635759206402911,200,000$
3William LockwoodXX100.008145787267687070666163775552496020630261900,000$
4Joonas KemppainenXX100.0063459569707381687066666963554730206203611,500,000$
5Keenan SuthersXX100.007348807278676656485959635747466020590261750,000$
6Noel HoefenmayerX100.006544867269727266456866705651486022630252750,000$
7Jack SadekX100.006850767274646367456360695854516220620271900,000$
8Xavier Bernard (R)X100.007250707272707066456360705045457019610243750,000$
9Brendan DeJongX100.007342727073706756455854685647466020590261750,000$
MOYENNE D’ÉQUIPE98.48674787717071746958686771636151524464
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
1Olivier Roy100.007776767678757979787779495347656303311,800,000$
2Matej Tomek99.00838369807870807070747749596069610271750,000$
Rayé
1Austin Lotz100.00787464777768746868726847555428580292500,000$
MOYENNE D’ÉQUIPE99.6779787078787178727274754856545461
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jack Capuano77868577999960USA594100,000$


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
1Anton BlidhAmericans (Buf)LW/RW43132235139511343128429410.16%982019.0815616104000141044.62%6500000.8526010530
2Sven AndrighettoAmericans (Buf)LW/RW431417313401535107279013.08%377217.9523515101000002143.66%7100000.8012000131
3David RundbladAmericans (Buf)D43525301414037255520229.09%5183219.364373296000061000%000000.7200000112
4Matthew PecaAmericans (Buf)LW/RW431416300601953133468110.53%1175217.515510291040001972051.06%4700000.8004000214
5Scott WilsonAmericans (Buf)C4392130-840198910120688.91%475017.4417820102000001051.03%97400000.8000000100
6Yohann AuvituAmericans (Buf)D434252924027386618436.06%6890921.1627936104000183200%000000.6400000011
7Tanner KeroAmericans (Buf)C431112231000116896215511.46%465415.2303310590000200055.27%81600000.7001000114
8Cale FleuryAmericans (Buf)D3841822320039193382512.12%4777720.47101315000079000%000000.5700000102
9Drake RymshaAmericans (Buf)C439132274610797289204910.11%1362814.610119450001703149.39%82600000.7000101021
10Jon MerrillAmericans (Buf)D4341721518026354214229.52%5685919.99011828000079100%000000.4900000221
11Dmitri JaskinAmericans (Buf)LW/RW43119200100342894327811.70%667715.7731413100000000042.22%4500000.5903000020
12Ty RonningAmericans (Buf)LW/RW4311819675153482285513.41%1261714.37000000003811034.00%5000000.6200001213
13Andrey PedanAmericans (Buf)D344141877010542431134312.90%4164318.92134157600006000%000000.5600002021
14Christian DjoosAmericans (Buf)D2861117-880242243172813.95%3259121.1456112673000022200%000000.5700000011
15Matt MartinAmericans (Buf)LW/RW438715-1255542378216210.26%543310.0800000000000050.00%2400000.6906010010
16Dominic TurgeonAmericans (Buf)C3695142120446066245013.64%749213.68000230002772054.29%66500000.5701000020
17Sheldon DriesAmericans (Buf)LW/RW435813-1008215921418.47%044010.2400011000002034.21%3800000.5901000001
18Nikolay GoldobinAmericans (Buf)LW/RW4321012114014194414444.55%649811.59011170000250156.34%7100000.4800000001
19Noel HoefenmayerAmericans (Buf)D1423514014692522.22%1324817.75000222000010000%000000.4000000100
20Patrik NemethSabresD11033-3401999450%1823121.0800001000026000%000000.2600000000
21Xavier BernardAmericans (Buf)D40221401111120%67418.710000000007000%000000.5300000000
22Stephane Da CostaAmericans (Buf)C7000-100226240%1639.0400000000000045.59%680000000000000
Statistiques d’équipe totales ou en moyenne7741452664115130335678726137241596610.57%4131277216.502546712381052000975619351.41%376000000.64324124172323
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
1Olivier RoyAmericans (Buf)27131220.8953.31157642878310110.818112716012
2Matej TomekAmericans (Buf)178620.9052.92102941505240000.714141627210
Statistiques d’équipe totales ou en moyenne44211840.8993.152606831371355011254343222


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 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 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
Andrey PedanAmericans (Buf)D311993-07-03LTUNo233 Lbs6 ft5NoNoFree AgentNoNo22024-07-22FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Anton BlidhAmericans (Buf)LW/RW291995-03-14SWENo201 Lbs6 ft0NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Austin LotzAmericans (Buf)G291995-05-27CANNo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Brendan DeJongAmericans (Buf)D261998-03-23CANNo200 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Cale FleuryAmericans (Buf)D261998-11-19CANNo204 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Christian DjoosAmericans (Buf)D301994-08-06SWENo169 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
David RundbladAmericans (Buf)D341990-10-08SWENo187 Lbs6 ft2NoNoFree AgentNoNo22024-07-26FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Dmitri JaskinAmericans (Buf)LW/RW311993-03-23RUSNo196 Lbs6 ft2NoNoN/ANoNo12023-12-30FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Dominic Turgeon (sur la masse salariale)Americans (Buf)C281996-02-25CANNo199 Lbs6 ft2NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,200,000$0$0$Yes---------------------------Lien
Drake RymshaAmericans (Buf)C261998-08-06USANo187 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Jack SadekAmericans (Buf)D271997-04-19USANo197 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Jon MerrillAmericans (Buf)D321992-02-03USANo204 Lbs6 ft3NoNoFree AgentNoNo22024-07-12FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Joonas KemppainenAmericans (Buf)LW/RW361988-04-07FINNo185 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Keenan SuthersAmericans (Buf)LW/RW261998-04-27USANo245 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Matej TomekAmericans (Buf)G271997-05-24SVKNo182 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Matt MartinAmericans (Buf)LW/RW351989-05-08CANNo215 Lbs6 ft3NoNoFree AgentNoNo12024-07-24FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Matthew PecaAmericans (Buf)LW/RW311993-04-27CANNo181 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Nikolay GoldobinAmericans (Buf)LW/RW291995-10-07RUSNo196 Lbs5 ft11NoNoN/ANoNo22024-04-29FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Noel HoefenmayerAmericans (Buf)D251999-01-06CANNo191 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Olivier RoyAmericans (Buf)G331991-07-12CANNo194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,800,000$0$0$No---------------------------Lien
Ondrej KaseAmericans (Buf)LW/RW291995-11-08CZENo187 Lbs6 ft0NoNoFree AgentNoNo12024-07-26FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Scott WilsonAmericans (Buf)C321992-04-24CANNo176 Lbs5 ft10NoNoFree AgentNoNo22024-07-22FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Sheldon DriesAmericans (Buf)LW/RW301994-04-23USANo180 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm2,500,000$0$0$No---------------------------Lien
Stephane Da CostaAmericans (Buf)C351989-07-11FRANo178 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Sven AndrighettoAmericans (Buf)LW/RW311993-03-21CHENo187 Lbs5 ft10NoNoTrade2024-06-25NoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Tanner KeroAmericans (Buf)C321992-07-24USANo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,500,000$0$0$No---------------------------Lien
Ty RonningAmericans (Buf)LW/RW271997-10-20USANo172 Lbs5 ft9NoNoN/ANoNo22024-04-29FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
William LockwoodAmericans (Buf)LW/RW261998-06-20USANo172 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Xavier BernardAmericans (Buf)D242000-01-06CANYes205 Lbs6 ft3NoNoProspectNoNo32024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Yohann AuvituAmericans (Buf)D351989-07-27FRANo196 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3029.73193 Lbs6 ft11.401,360,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ty RonningScott WilsonAnton Blidh32023
2Dmitri JaskinDrake RymshaSven Andrighetto28023
3Nikolay GoldobinTanner KeroMatthew Peca23032
4Sheldon DriesStephane Da CostaMatt Martin17122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrey PedanCale Fleury36032
2Yohann AuvituChristian Djoos34032
3David RundbladJon Merrill30032
4Andrey PedanCale Fleury0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew PecaScott WilsonAnton Blidh55023
2Sven AndrighettoDrake RymshaDmitri Jaskin45023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Yohann AuvituChristian Djoos54032
2Andrey PedanCale Fleury46032
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tanner KeroMatthew Peca53032
2Drake RymshaTy Ronning47032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jon MerrillCale Fleury52032
2David RundbladYohann Auvitu48032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tanner Kero52041Jon MerrillCale Fleury50122
2Drake Rymsha48041David RundbladChristian Djoos50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Scott WilsonAnton Blidh50122
2Drake RymshaMatthew Peca50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Yohann AuvituChristian Djoos50122
2Andrey PedanCale Fleury50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew PecaTanner KeroAnton BlidhYohann AuvituAndrey Pedan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew PecaDrake RymshaAnton BlidhJon MerrillCale Fleury
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sven Andrighetto, Scott Wilson, Nikolay GoldobinSven Andrighetto, Scott WilsonNikolay Goldobin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Yohann Auvitu, David Rundblad, Cale FleuryYohann AuvituDavid Rundblad, Andrey Pedan
Tirs de pénalité
Matt Martin, Anton Blidh, Matthew Peca, Dmitri Jaskin, Tanner Kero
Gardien
#1 : Olivier Roy, #2 : Matej Tomek, #3 : 0


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
1Barracuda11000000532110000005320000000000021.000591400565137437450441464412266123133.33%3166.67%0739149249.53%801150753.15%39372853.98%10197001024322566283
2BruinsF31200000614-81100000054120200000110-920.33361016005651374102450441464411223732581100.00%10460.00%0739149249.53%801150753.15%39372853.98%10197001024322566283
3Canucks11000000642000000000001100000064221.0006121800565137436450441464412610413300.00%20100.00%0739149249.53%801150753.15%39372853.98%10197001024322566283
4Checkers21100000660110000003121010000035-220.50061117005651374544504414644167241218400.00%50100.00%0739149249.53%801150753.15%39372853.98%10197001024322566283
5Comets31101000981000000000003110100098140.667917260056513748545044146441832414426116.67%7357.14%0739149249.53%801150753.15%39372853.98%10197001024322566283
6Condors21000010817000000000002100001081741.00081422015651374754504414644158222633600.00%30100.00%0739149249.53%801150753.15%39372853.98%10197001024322566283
7Eagles1010000034-11010000034-10000000000000.000358005651374344504414644129106242150.00%3166.67%0739149249.53%801150753.15%39372853.98%10197001024322566283
8Griffins21100000880211000008800000000000020.500814220056513746245044146441731310286233.33%30100.00%0739149249.53%801150753.15%39372853.98%10197001024322566283
9Gulls11000000725110000007250000000000021.00071421005651374254504414644129104205360.00%20100.00%0739149249.53%801150753.15%39372853.98%10197001024322566283
10Islanders1010000013-2000000000001010000013-200.0001230056513742445044146441309423200.00%2150.00%0739149249.53%801150753.15%39372853.98%10197001024322566283
11Marlies2100000110821000000156-11100000052330.7501017270056513747445044146441572012318337.50%5340.00%0739149249.53%801150753.15%39372853.98%10197001024322566283
12Monsters1010000025-31010000025-30000000000000.00024600565137427450441464413164611100.00%20100.00%0739149249.53%801150753.15%39372853.98%10197001024322566283
13Moose1010000014-3000000000001010000014-300.000123005651374104504414644134581311100.00%40100.00%0739149249.53%801150753.15%39372853.98%10197001024322566283
14PenguinsF2010000168-22010000168-20000000000010.25061117005651374834504414644172261440300.00%7357.14%0739149249.53%801150753.15%39372853.98%10197001024322566283
15Phantoms43100000161152200000011832110000053260.7501631470156513741394504414644111135377610220.00%14285.71%0739149249.53%801150753.15%39372853.98%10197001024322566283
16Reign11000000514000000000001100000051421.000591400565137429450441464411244213133.33%10100.00%0739149249.53%801150753.15%39372853.98%10197001024322566283
17Rocket1010000023-1000000000001010000023-100.00024600565137428450441464413012813200.00%30100.00%0739149249.53%801150753.15%39372853.98%10197001024322566283
18SenatorsF31200000811-3110000003212020000059-420.3338142200565137486450441464419532164614321.43%7442.86%0739149249.53%801150753.15%39372853.98%10197001024322566283
19Silver Knights1000000134-11000000134-10000000000010.50035800565137425450441464413914415200.00%20100.00%0739149249.53%801150753.15%39372853.98%10197001024322566283
20StarsF1010000034-1000000000001010000034-100.00035800565137428450441464413516171422100.00%6266.67%0739149249.53%801150753.15%39372853.98%10197001024322566283
21Thunderbirds11000000532110000005320000000000021.000591400565137435450441464411984145240.00%10100.00%0739149249.53%801150753.15%39372853.98%10197001024322566283
22Wolf Pack320000101881032000010188100000000000061.00018325000565137411245044146441883116429111.11%8187.50%0739149249.53%801150753.15%39372853.98%10197001024322566283
23Wolves21100000440110000002021010000024-220.5004812115651374724504414644147132727800.00%4175.00%0739149249.53%801150753.15%39372853.98%10197001024322566283
24Wranglers30200001515-100000000000030200001515-1010.167571200565137490450441464411472622499111.11%10370.00%0739149249.53%801150753.15%39372853.98%10197001024322566283
Total431818010241471425201240001386662023614010116176-15460.53514726641313565137413724504414644113564133116781252520.00%1142974.56%0739149249.53%801150753.15%39372853.98%10197001024322566283
_Since Last GM Reset431818010241471425201240001386662023614010116176-15460.53514726641313565137413724504414644113564133116781252520.00%1142974.56%0739149249.53%801150753.15%39372853.98%10197001024322566283
_Vs Conference271112010128788-112810001253371615311010003451-17280.5198715924612565137486945044146441836268200429781114.10%762271.05%0739149249.53%801150753.15%39372853.98%10197001024322566283
_Vs Division1635000015647992000001392910715000001718-170.219561051611256513745424504414644146214411625639512.82%441175.00%0739149249.53%801150753.15%39372853.98%10197001024322566283

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4346L11472664131372135641331167813
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4318181024147142
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2012400138666
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2361410116176
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
1252520.00%1142974.56%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
450441464415651374
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
739149249.53%801150753.15%39372853.98%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10197001024322566283


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
1 - 2024-09-032Americans0Wranglers4LSommaire du match
4 - 2024-09-0626Wolf Pack1Americans7WSommaire du match
6 - 2024-09-0839Checkers1Americans3WSommaire du match
8 - 2024-09-1055Americans2Phantoms3LSommaire du match
11 - 2024-09-1373Americans3Comets2WXSommaire du match
13 - 2024-09-1590Wolf Pack4Americans7WSommaire du match
15 - 2024-09-17109Phantoms5Americans7WSommaire du match
17 - 2024-09-19126Marlies6Americans5LXXSommaire du match
19 - 2024-09-21138Americans3Comets4LSommaire du match
20 - 2024-09-22146Americans2Rocket3LSommaire du match
23 - 2024-09-25169PenguinsF4Americans3LSommaire du match
26 - 2024-09-28186Americans6Condors0WSommaire du match
28 - 2024-09-30203Americans0BruinsF7LSommaire du match
29 - 2024-10-01216BruinsF4Americans5WSommaire du match
32 - 2024-10-04234Griffins6Americans4LSommaire du match
36 - 2024-10-08255Americans1Moose4LSommaire du match
38 - 2024-10-10267Wolf Pack3Americans4WXXSommaire du match
40 - 2024-10-12284Americans4Wranglers5LXXSommaire du match
42 - 2024-10-14298Americans3SenatorsF6LSommaire du match
44 - 2024-10-16310Barracuda3Americans5WSommaire du match
46 - 2024-10-18330Thunderbirds3Americans5WSommaire du match
48 - 2024-10-20345Americans5Marlies2WSommaire du match
50 - 2024-10-22362Gulls2Americans7WSommaire du match
52 - 2024-10-24373Americans1Islanders3LSommaire du match
54 - 2024-10-26388Americans1Wranglers6LSommaire du match
56 - 2024-10-28401Americans3Checkers5LSommaire du match
58 - 2024-10-30411Silver Knights4Americans3LXXSommaire du match
60 - 2024-11-01426Americans5Reign1WSommaire du match
62 - 2024-11-03441Phantoms3Americans4WSommaire du match
65 - 2024-11-06461Americans6Canucks4WSommaire du match
67 - 2024-11-08471Americans2Condors1WXXSommaire du match
68 - 2024-11-09480SenatorsF2Americans3WSommaire du match
71 - 2024-11-12504Americans2SenatorsF3LSommaire du match
72 - 2024-11-13511Wolves0Americans2WSommaire du match
75 - 2024-11-16534Eagles4Americans3LSommaire du match
77 - 2024-11-18545Americans2Wolves4LSommaire du match
79 - 2024-11-20559Americans3Phantoms0WSommaire du match
80 - 2024-11-21572Monsters5Americans2LSommaire du match
83 - 2024-11-24595Americans3Comets2WSommaire du match
85 - 2024-11-26606PenguinsF4Americans3LXXSommaire du match
87 - 2024-11-28624Americans3StarsF4LSommaire du match
88 - 2024-11-29636Griffins2Americans4WSommaire du match
90 - 2024-12-01650Americans1BruinsF3LSommaire du match
93 - 2024-12-04666Americans-Wolf Pack-
94 - 2024-12-05674BruinsF-Americans-
97 - 2024-12-08695Americans-Marlies-
98 - 2024-12-09703SenatorsF-Americans-
101 - 2024-12-12726Americans-Firebirds-
102 - 2024-12-13735Wolves-Americans-
106 - 2024-12-17760Americans-Checkers-
107 - 2024-12-18767Islanders-Americans-
111 - 2024-12-22795Islanders-Americans-
113 - 2024-12-24814Americans-Firebirds-
115 - 2024-12-26823Americans-Crunch-
116 - 2024-12-27832Iowa Wild-Americans-
119 - 2024-12-30859Moose-Americans-
121 - 2025-01-01875Americans-Roadrunners-
124 - 2025-01-04890Moose-Americans-
126 - 2025-01-06911Americans-PenguinsF-
127 - 2025-01-07920Marlies-Americans-
130 - 2025-01-10942Americans-Wolf Pack-
132 - 2025-01-12953Americans-Admirals-
133 - 2025-01-13961Firebirds-Americans-
137 - 2025-01-17989Firebirds-Americans-
139 - 2025-01-191010Americans-Rocket-
140 - 2025-01-201019Bears-Americans-
144 - 2025-01-241046Bears-Americans-
146 - 2025-01-261061Americans-Wolves-
148 - 2025-01-281077Americans-Islanders-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2025-01-291086Icehogs-Americans-
151 - 2025-01-311100Americans-Crunch-
153 - 2025-02-021111Americans-PenguinsF-
154 - 2025-02-031120Rocket-Americans-
158 - 2025-02-071146Americans-Moose-
159 - 2025-02-081151Crunch-Americans-
161 - 2025-02-101169Americans-Bears-
164 - 2025-02-131184Checkers-Americans-
167 - 2025-02-161206Americans-Bears-
168 - 2025-02-171215Comets-Americans-
174 - 2025-02-231247Rocket-Americans-
178 - 2025-02-271274Crunch-Americans-
182 - 2025-03-031297Comets-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4015
Assistance26,80519,107
Assistance PCT67.01%95.54%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
21 2296 - 76.52% 101,231$2,024,619$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,006,439$ 3,960,000$ 3,960,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,957,780$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,125,850$ 95 21,946$ 2,084,870$




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
1Matthew Peca12546489412146514742210.90%41229618.381012226000086454.60%20.82313
2Anton Blidh1234350931411128613737411.50%21224118.23612185700024146.07%00.83611
3Yohann Auvitu113136477202660911468.90%127224319.8551318750001300%00.6923
4Ty Ronning119393574727859529213.36%24197316.5868143500033034.51%10.7501
5Tanner Kero1152843711816721982869.79%9197817.2049134400003053.81%00.7201

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
1Olivier Roy64282430.8933.1935574318917610230.84025
2Anton Khudobin55272340.8833.2929942416414000110.71428
3Matej Tomek178620.9052.92102941505240000.71414

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
Saison régulière
15823335022732792727411720000221391390411615022511401337892794797583597918215253984582784761233367366414142344318.38%2915880.07%41460287750.75%1409271151.97%739142651.82%1959133619386131084543
16431818010241471425201240001386662023614010116176-154614726641313565137413724504414644113564133116781252520.00%1142974.56%0739149249.53%801150753.15%39372853.98%10197001024322566283
Total Saison régulière12551530329742641412612924000352252052064222903262201209-81354267451171481531421191939111295126813111023689108697520923596818.94%4058778.52%42199436950.33%2210421852.39%1132215452.55%2978203729639351650827
Séries éliminatoires
151710700000595728530000029263954000003031-12059105164002018183511192153162448415410832154814.81%43881.40%030058651.19%28053752.14%14528950.17%421293381123224113
Total Séries éliminatoires1710700000595728530000029263954000003031-12059105164002018183511192153162448415410832154814.81%43881.40%030058651.19%28053752.14%14528950.17%421293381123224113

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
1Cale Fleury17113145182819273.70%2937522.11134150000000%00.7500
2Austin Levi1711112-425489156.67%1031518.5302270000000%00.7600
3Noel Hoefenmayer173912761272412.50%1436521.49202120000000%00.6600
4Yohann Auvitu172911-12612229.09%2337021.77022100001000%00.5900
5Tanner Kero1756112415234211.90%229117.12112700001154.11%00.7600

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
1Anton Khudobin1710700.8723.63910205543100000
2Olivier Roy40000.9621.041150025300000