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Americans
GP: 16 | W: 9 | L: 7 | OTL: 0 | P: 18
GF: 72 | GA: 74 | PP%: 16.67% | PK%: 78.57%
DG: Francois Juteau | Morale : 44 | Moyenne d’équipe : 62
Prochains matchs #214 vs Barracuda

Centre de jeu
Admirals
9-5-2, 20pts
8
2 Americans
9-7-0, 18pts
Team Stats
W2SéquenceW1
4-2-1Fiche domicile4-4-0
5-3-1Fiche domicile5-3-0
6-3-1Derniers 10 matchs8-2-0
4.13Buts par match 4.50
3.81Buts contre par match 4.63
20.00%Pourcentage en avantage numérique16.67%
80.70%Pourcentage en désavantage numérique78.57%
Thunderbirds
8-7-1, 17pts
4
8 Americans
9-7-0, 18pts
Team Stats
L2SéquenceW1
4-3-0Fiche domicile4-4-0
4-4-1Fiche domicile5-3-0
6-4-0Derniers 10 matchs8-2-0
4.00Buts par match 4.50
4.00Buts contre par match 4.63
23.26%Pourcentage en avantage numérique16.67%
78.43%Pourcentage en désavantage numérique78.57%
Americans
9-7-0, 18pts
Jour 35
Barracuda
5-10-0, 10pts
Statistiques d’équipe
W1SéquenceL1
4-4-0Fiche domicile3-4-0
5-3-0Fiche visiteur2-6-0
8-2-010 derniers matchs3-7-0
4.50Buts par match 4.87
4.63Buts contre par match 4.87
16.67%Pourcentage en avantage numérique33.33%
78.57%Pourcentage en désavantage numérique83.64%
Admirals
9-5-2, 20pts
Jour 36
Americans
9-7-0, 18pts
Statistiques d’équipe
W2SéquenceW1
4-2-1Fiche domicile4-4-0
5-3-1Fiche visiteur5-3-0
6-3-110 derniers matchs8-2-0
4.13Buts par match 4.50
3.81Buts contre par match 4.50
20.00%Pourcentage en avantage numérique16.67%
80.70%Pourcentage en désavantage numérique78.57%
Americans
9-7-0, 18pts
Jour 39
Comets
9-3-2, 20pts
Statistiques d’équipe
W1SéquenceW1
4-4-0Fiche domicile5-2-1
5-3-0Fiche visiteur4-1-1
8-2-010 derniers matchs6-3-1
4.50Buts par match 5.00
4.63Buts contre par match 5.00
16.67%Pourcentage en avantage numérique30.43%
78.57%Pourcentage en désavantage numérique60.00%
Meneurs d'équipe
Buts
Justin Bailey
13
Passes
Jacob Larsson
14
Points
Justin Bailey
23
Plus/Moins
Gianni Fairbrother
9
Victoires
Peyton Jones
8
Pourcentage d’arrêts
Peyton Jones
0.861

Statistiques d’équipe
Buts pour
72
4.50 GFG
Tirs pour
526
32.88 Avg
Pourcentage en avantage numérique
16.7%
10 GF
Début de zone offensive
36.1%
Buts contre
74
4.63 GAA
Tirs contre
506
31.63 Avg
Pourcentage en désavantage numérique
78.6%%
15 GA
Début de la zone défensive
35.2%
Informations de l'équipe

Directeur généralFrancois Juteau
EntraîneurMario Lemieux
DivisionFritz-Kraatz
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,718
Billets de saison300


Informations de la formation

Équipe Pro35
Équipe Mineure19
Limite contact 54 / 250
Espoirs0


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
1Justin BaileyX100.007734887083787575817284637371524048740251975,000$
2Ryan FitzgeraldX100.006943797172757479786976687361613448720261750,000$
3Adam Brooks (R)X100.007635836880696673757882596961494448710242800,000$
4Nathan NoelX100.006839786278756662758074586851543448680251800,000$
5Tage Thompson (R)X100.006432857472827165717863696551494845680231900,000$
6Alex Schoenborn (R)X100.006950696975647469667175575547483348670241600,000$
7Daniel Sprong (R)X100.005741787276747063666179507249484048660233600,000$
8Drew O'Connor (R)X100.007742717078598071657466575547464741660221700,000$
9John Leonard (R)X100.005835697059777465708966456249464648650224750,000$
10Zachary Senyshyn (R)X100.005038757555626566677059557547473948620233500,000$
11Christopher Paquette (R)X100.007332597173746549586468547048484248620221500,000$
12Peyton Krebs (R)X100.005832687055657166727464374541416548610191500,000$
13Lauri Pajuniemi (R)X100.006342806362636164595567576745435248610214600,000$
14Felix Bibeau (R)X100.005648746067606656596859555846445548590211500,000$
15Ryan Beck (R)X100.006128665957646454606257556440407748570182500,000$
16Anthony Romano (R)X100.006133644866555565686065426643435548570201500,000$
17Michael Pezzetta (R)X100.007254685773507354625355445544443843560224500,000$
18Devon TeowsX100.007947737573676974607162795966583548730261900,000$
19Jacob Larsson (R)X100.007123827972737479548266756164494848730231950,000$
20Spencer Stastney (R)X100.007135806964646470437152775448445548680203800,000$
21Samuel Bolduc (R)X100.007940726379785249456858635342455748650201500,000$
22Xavier Bouchard (R)X100.007033736967585455376644733844445149640204700,000$
23Gianni Fairbrother (R)X100.007136595669685955336655613643424948610201500,000$
24Dmitri Semykin (R)X100.006620765655545859336748684742435148600204600,000$
Rayé
1Matt PuempelX95.277440847574717473716974607659553335700272750,000$
2Simon Holmstrom (R)X100.005634705070655064595460325341415824550191500,000$
3Jacob Perreault (R)X100.004622605056615659475260415540406424520182500,000$
4Austin Wong (R)X100.005134534660545946475244305142445024470201500,000$
5Ruben Rafkin (R)X100.006236545870673953235246504240406824550182500,000$
6Daniel Bukac (R)X100.005043756251595746276139514646435024540211500,000$
7Jeremie Poirier (R)X100.005720675254586162275048484040406924530182500,000$
8Ethan Edwards (R)X100.004529585350455749416245504740406324500182500,000$
9Lukas Cormier (R)X100.005320694753484850325651444340407424500182500,000$
MOYENNE D’ÉQUIPE99.86643571636765646255666155574846504162
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
1Peyton Jones100.00626969626667685965686245484551640241500,000$
2Leevi Merilainen (R)98.00625072514757625351695840407752550182500,000$
Rayé
MOYENNE D’ÉQUIPE99.0062607157576265565869604344615260
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mario Lemieux58697272515555CAN5631,000,000$


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
1Justin BaileyAmericans (Buf)RW16131023220193069194918.84%1536622.883254531123612156.45%12473001.2601000122
2Ryan FitzgeraldAmericans (Buf)C16912212180213753142516.98%1035622.273477531122512052.06%486107011.1801000131
3Jacob LarssonAmericans (Buf)D163141726026344114177.32%1641025.64224557011063000%0612000.8300000100
4Adam BrooksAmericans (Buf)C1641317-56036265218317.69%226716.712023420113240154.49%16721001.2711000012
5Matt PuempelAmericans (Buf)LW1378154135181540142617.50%1027221.000445431012311060.00%15103001.1011010100
6Alex SchoenbornAmericans (Buf)RW168614060191727122329.63%718011.2800002000001033.33%6122001.5500000110
7Devon TeowsAmericans (Buf)D1611213520028243211133.13%2437823.68000251011146000%0119000.6900000001
8Tage ThompsonAmericans (Buf)RW166511-675221736121816.67%824515.33022341000040072.73%1185000.9000010010
9John LeonardAmericans (Buf)LW164610-54015921102019.05%519011.9000027000000137.50%872001.0500000100
10Nathan NoelAmericans (Buf)C162791001512234148.70%317310.8200000000000150.59%8534001.0411000001
11Drew O'ConnorAmericans (Buf)LW15459-612025133082213.33%724416.27011241101190041.18%1799000.7400000100
12Felix BibeauAmericans (Buf)LW1653882061281762.50%21298.11000000000020100.00%434001.2300000001
13Spencer StastneyAmericans (Buf)D16066-760162611770%1731119.48011140000040000%018000.3900000000
14Daniel SprongAmericans (Buf)RW163252401102961810.34%61147.1800000000000033.33%3102000.8700000000
15Dillon HeatheringtonSabresD7123-10091216626.25%1518726.77011222011131000%0411000.3201000000
16Christopher PaquetteAmericans (Buf)C161232401413174115.88%11147.1600000000000035.42%4822000.5200000000
17Samuel BolducAmericans (Buf)D16022-111408138640%1324915.56000025000020000%014000.1600000000
18Gianni FairbrotherAmericans (Buf)D16022914011104330%121469.180000000009000%016000.2700000000
19Xavier BouchardAmericans (Buf)D1601122157158230%1517611.050000100005000%0010000.1100001000
20Dmitri SemykinAmericans (Buf)D16011620350010%1694.320000000003000%002000.2900000000
21Michael PezzettaAmericans (Buf)LW10011-320820000%0323.28000000000100100.00%100000.6100000000
22Ryan BeckAmericans (Buf)C16000200000000%0120.780000000008000%10000000000000
23Peyton KrebsAmericans (Buf)C16000000200010%0201.29000030000120066.67%30000000000000
24Zachary SenyshynAmericans (Buf)RW16000100111010%1191.240000500000000%30000000000000
25Lauri PajuniemiAmericans (Buf)RW16000000100130%0261.6300001000012000%00100000000000
Statistiques d’équipe totales ou en moyenne3817112019141631534134352617231913.50%190469712.33101727364974610134408452.04%982107107010.8136021788
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
1Peyton JonesAmericans (Buf)148400.8614.407500055395204100.6005133000
2Leevi MerilainenAmericans (Buf)51300.8295.352130019111580000313000
Statistiques d’équipe totales ou en moyenne199700.8544.6196400745062621051616000


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 Salaire restantPlafond 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
Adam BrooksAmericans (Buf)C241996-01-01CANYes181 Lbs5 ft10NoNoTrade2025-03-01NoNo2FalseFalsePro & Farm800,000$648,521$0$0$No800,000$--------800,000$--------No--------Lien
Alex SchoenbornAmericans (Buf)RW241996-01-01USAYes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm600,000$486,391$0$0$No---------------------------Lien
Anthony RomanoAmericans (Buf)C202000-01-01CANYes185 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Austin WongAmericans (Buf)C202000-01-01CANYes198 Lbs5 ft10NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Christopher PaquetteAmericans (Buf)C221998-01-01CANYes209 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Daniel BukacAmericans (Buf)D211999-01-01CZEYes209 Lbs6 ft6NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Daniel SprongAmericans (Buf)RW231997-01-01NLDYes191 Lbs5 ft11NoNoFree AgentNoNo32024-09-18FalseFalsePro & Farm600,000$486,391$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------Lien
Devon TeowsAmericans (Buf)D261994-01-01CANNo191 Lbs5 ft11NoNoFree Agent2024-10-11NoNo12025-08-28FalseFalsePro & Farm900,000$729,586$0$0$No---------------------------Lien
Dmitri SemykinAmericans (Buf)D202000-01-01RUSYes220 Lbs6 ft3NoNoFree AgentNoNo42025-08-28FalseFalsePro & Farm600,000$486,391$0$0$No600,000$600,000$600,000$------600,000$600,000$600,000$------NoNoNo------Lien
Drew O'ConnorAmericans (Buf)LW221998-01-01USAYes190 Lbs6 ft3NoNoTrade2025-11-06NoNo12025-10-17FalseFalsePro & Farm700,000$567,456$0$0$No---------------------------Lien
Ethan EdwardsAmericans (Buf)D182002-01-01CANYes185 Lbs5 ft11NoNoTrade2025-09-06NoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Felix BibeauAmericans (Buf)LW211999-01-01CANYes187 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Gianni FairbrotherAmericans (Buf)D202000-01-01CANYes205 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Jacob LarssonAmericans (Buf)D231997-01-01SWEYes190 Lbs6 ft2NoNoFree Agent2024-12-07NoNo12025-08-28FalseFalsePro & Farm950,000$770,118$0$0$No---------------------------Lien
Jacob PerreaultAmericans (Buf)RW182002-01-01CANYes192 Lbs5 ft11NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Jeremie PoirierAmericans (Buf)D182002-01-01CANYes196 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
John LeonardAmericans (Buf)LW221998-01-01USAYes196 Lbs5 ft11NoNoFree AgentNoNo42025-08-28FalseFalsePro & Farm750,000$607,988$0$0$No750,000$750,000$750,000$------750,000$750,000$750,000$------NoNoNo------Lien
Justin BaileyAmericans (Buf)RW251995-01-01USANo185 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm975,000$790,385$0$0$No---------------------------Lien
Lauri PajuniemiAmericans (Buf)RW211999-01-01FINYes202 Lbs6 ft0NoNoFree AgentNoNo42025-08-28FalseFalsePro & Farm600,000$486,391$0$0$No600,000$600,000$600,000$------600,000$600,000$600,000$------NoNoNo------Lien
Leevi MerilainenAmericans (Buf)G182002-01-01FINYes177 Lbs6 ft2NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Lukas CormierAmericans (Buf)D182002-01-01CANYes170 Lbs5 ft10NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Matt PuempelAmericans (Buf)LW271993-01-01CANNo190 Lbs6 ft0NoNoTrade2025-04-05NoNo22024-08-21FalseFalsePro & Farm750,000$607,988$0$0$No750,000$--------750,000$--------No--------Lien
Michael PezzettaAmericans (Buf)LW221998-01-01CANYes205 Lbs6 ft1NoNoFree Agent2025-08-24NoNo42025-08-28FalseFalsePro & Farm500,000$405,325$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien
Nathan NoelAmericans (Buf)C251995-01-01CANNo209 Lbs6 ft2NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm800,000$648,521$0$0$No---------------------------Lien
Peyton JonesAmericans (Buf)G241996-01-01USANo209 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Peyton KrebsAmericans (Buf)C192001-01-01CANYes185 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Ruben RafkinAmericans (Buf)D182002-01-01FINYes190 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Ryan BeckAmericans (Buf)C182002-01-01USAYes165 Lbs5 ft10NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Ryan FitzgeraldAmericans (Buf)C261994-01-01USANo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$607,988$0$0$No---------------------------Lien
Samuel BolducAmericans (Buf)D202000-01-01CANYes220 Lbs6 ft4NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Simon HolmstromAmericans (Buf)RW192001-01-01SWEYes216 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Spencer StastneyAmericans (Buf)D202000-01-01USAYes184 Lbs6 ft0NoNoFree AgentNoNo32025-08-28FalseFalsePro & Farm800,000$648,521$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Tage ThompsonAmericans (Buf)RW231997-01-01USAYes218 Lbs6 ft7NoNoTrade2025-10-27NoNo1FalseFalsePro & Farm900,000$729,586$0$0$No---------------------------Lien
Xavier BouchardAmericans (Buf)D202000-01-01CANYes198 Lbs6 ft4NoNoFree AgentNoNo42025-08-28FalseFalsePro & Farm700,000$567,456$0$0$No700,000$700,000$700,000$------700,000$700,000$700,000$------NoNoNo------Lien
Zachary SenyshynAmericans (Buf)RW231997-01-01CANYes192 Lbs6 ft1NoNoFree AgentNoNo32024-09-18FalseFalsePro & Farm500,000$405,325$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3521.37195 Lbs6 ft11.86619,286$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorRyan FitzgeraldJustin Bailey40122
2John LeonardAdam BrooksTage Thompson30122
3Felix BibeauNathan NoelAlex Schoenborn20122
4Michael PezzettaChristopher PaquetteDaniel Sprong10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Devon TeowsJacob Larsson40122
2Spencer StastneySamuel Bolduc30122
3Xavier BouchardGianni Fairbrother20122
4Dmitri SemykinDevon Teows10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorRyan FitzgeraldJustin Bailey60122
2John LeonardAdam BrooksTage Thompson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Devon TeowsJacob Larsson60122
2Spencer StastneySamuel Bolduc40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Justin BaileyRyan Fitzgerald60122
2Adam BrooksTage Thompson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Devon TeowsJacob Larsson60122
2Spencer StastneySamuel Bolduc40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Justin Bailey60122Devon TeowsJacob Larsson60122
2Ryan Fitzgerald40122Spencer StastneySamuel Bolduc40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Justin BaileyRyan Fitzgerald60122
2Adam BrooksTage Thompson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Devon TeowsJacob Larsson60122
2Spencer StastneySamuel Bolduc40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorRyan FitzgeraldJustin BaileyDevon TeowsJacob Larsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorRyan FitzgeraldJustin BaileyDevon TeowsJacob Larsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zachary Senyshyn, Peyton Krebs, Lauri PajuniemiZachary Senyshyn, Peyton KrebsLauri Pajuniemi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Xavier Bouchard, Gianni Fairbrother, Dmitri SemykinXavier BouchardGianni Fairbrother, Dmitri Semykin
Tirs de pénalité
Justin Bailey, Ryan Fitzgerald, Adam Brooks, Tage Thompson, Nathan Noel
Gardien
#1 : Leevi Merilainen, #2 : Peyton Jones
Lignes d’attaque personnalisées en prolongation
Justin Bailey, Ryan Fitzgerald, Adam Brooks, Tage Thompson, Nathan Noel, Alex Schoenborn, Daniel Sprong, Drew O'Connor, John Leonard, Zachary Senyshyn
Lignes de défense personnalisées en prolongation
Devon Teows, Jacob Larsson, Spencer Stastney, Samuel Bolduc, Xavier Bouchard


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
1Admirals1010000028-61010000028-60000000000000.000224001631234331741961501128141321400.00%4175.00%117735350.14%19434556.23%14028149.82%341190334148289142
2Checkers11000000431000000000001100000043121.0004711001631234291741961501135912256116.67%6183.33%117735350.14%19434556.23%14028149.82%341190334148289142
3Islander31200000914-51010000026-42110000078-120.33391625001631234102174196150111033824538337.50%12283.33%017735350.14%19434556.23%14028149.82%341190334148289142
4Little Stars3010101012111201010006601000001065140.66712203200163123485174196150119334206210110.00%10280.00%017735350.14%19434556.23%14028149.82%341190334148289142
5Punishers11000000752110000007520000000000021.00071118001631234371741961501139126236233.33%3166.67%017735350.14%19434556.23%14028149.82%341190334148289142
6Roadrunners11000000642000000000001100000064221.000691500163123436174196150112113419600.00%2150.00%117735350.14%19434556.23%14028149.82%341190334148289142
7Senators42200000212012110000068-2211000001512340.5002137580016312341401741961501112641689316212.50%25580.00%117735350.14%19434556.23%14028149.82%341190334148289142
8Thunderbirds211000001192110000008441010000035-220.5001118290016312346417419615011612916454125.00%8275.00%017735350.14%19434556.23%14028149.82%341190334148289142
Total1677010107274-2834010003137-68430001041374180.5637212019200163123452617419615011506190163341601016.67%701578.57%417735350.14%19434556.23%14028149.82%341190334148289142
_Since Last GM Reset1677010107274-2834010003137-68430001041374180.5637212019200163123452617419615011506190163341601016.67%701578.57%417735350.14%19434556.23%14028149.82%341190334148289142
_Vs Conference1567010106871-3834010003137-67330001037343160.533681131810016312344971741961501147118115131654916.67%641478.13%317735350.14%19434556.23%14028149.82%341190334148289142
_Vs Division1035010104245-3513010001420-65220001028253100.50042731150016312343271741961501132211311220834617.65%47980.85%117735350.14%19434556.23%14028149.82%341190334148289142

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1618W17212019252650619016334100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
167710107274
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
83410003137
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
84300104137
Derniers 10 matchs
WLOTWOTL SOWSOL
621010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
601016.67%701578.57%4
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
174196150111631234
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
17735350.14%19434556.23%14028149.82%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
341190334148289142


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
12Islander6Americans2LSommaire du match
424Americans2Islander4LSommaire du match
535Americans6Senators9LSommaire du match
747Little Stars4Americans3LSommaire du match
962Senators6Americans2LSommaire du match
1174Americans5Islander4WSommaire du match
1386Americans6Little Stars5WXXSommaire du match
1597Punishers5Americans7WSommaire du match
18111Americans6Roadrunners4WSommaire du match
20124Little Stars2Americans3WXSommaire du match
22138Americans9Senators3WSommaire du match
24151Senators2Americans4WSommaire du match
26164Americans4Checkers3WSommaire du match
28175Americans3Thunderbirds5LSommaire du match
29181Admirals8Americans2LSommaire du match
32198Thunderbirds4Americans8WSommaire du match
35214Americans-Barracuda-
36222Admirals-Americans-
39237Americans-Comets-
41248Americans-Roadrunners-
42255Wranglers-Americans-
45274Griffins-Americans-
47290Americans-Checkers-
49298Eagles-Americans-
51309Americans-Islander-
53325Senators-Americans-
55337Americans-Canucks-
56346Americans-Punishers-
58360Crunch-Americans-
60372Americans-Little Stars-
61380Americans-Islander-
63389Thunderbirds-Americans-
66409Icehogs-Americans-
68425Americans-Rockets-
70436Bears-Americans-
71443Americans-Crunch-
73461Comets-Americans-
76476Americans-Griffins-
78489Marlies-Americans-
80503Americans-Wolfpack-
82512Americans-Wranglers-
83520Punishers-Americans-
86539Barracuda-Americans-
88550Americans-Firebirds-
90563Icehogs-Americans-
92582Americans-Senators-
94591Americans-Marlies-
95598Firebirds-Americans-
97613Americans-Little Stars-
99624Roadrunners-Americans-
102645Moose-Americans-
104661Americans-Icehogs-
105666Wolfpack-Americans-
108685Americans-Thunderbirds-
110696Little Stars-Americans-
113715Condors-Americans-
115726Americans-Admirals-
117740Penguins-Americans-
119752Americans-Moose-
122767Gulls-Americans-
124779Americans-Gulls-
126792Canucks-Americans-
130815Canucks-Americans-
132830Americans-Gulls-
134840Americans-Eagles-
135851Checkers-Americans-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
138866Punishers-Americans-
140880Americans-Wranglers-
141891Americans-Bears-
143900Little Stars-Americans-
147920Islander-Americans-
150940Americans-Condors-
151949Checkers-Americans-
152955Americans-Penguins-
155974Islander-Americans-
157982Americans-Moose-
160997Condors-Americans-
1631017Rockets-Americans-
1641019Americans-Bears-
1661035Americans-Penguins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance14,2827,463
Assistance PCT89.26%93.29%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2718 - 90.60% 170,397$1,363,173$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
606,810$ 2,167,500$ 2,167,500$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,825$ 417,448$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,452,692$ 137 18,743$ 2,567,791$




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