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Americans
GP: 26 | W: 12 | L: 11 | OTL: 3 | P: 27
GF: 62 | GA: 73 | PP%: 22.62% | PK%: 83.58%
DG: Cédric Racine | Morale : 46 | Moyenne d’équipe : 63
Prochains matchs #422 vs Comets

Centre de jeu
StarsF
15-10-2, 32pts
1
2 Americans
12-11-3, 27pts
Team Stats
W1SéquenceW2
6-7-0Fiche domicile10-2-0
9-3-2Fiche domicile2-9-3
5-4-1Derniers 10 matchs4-5-1
3.56Buts par match 2.38
2.81Buts contre par match 2.81
26.39%Pourcentage en avantage numérique22.62%
82.14%Pourcentage en désavantage numérique83.58%
Americans
12-11-3, 27pts
2
0 SenatorsF
12-11-3, 27pts
Team Stats
W2SéquenceL2
10-2-0Fiche domicile4-8-1
2-9-3Fiche domicile8-3-2
4-5-1Derniers 10 matchs4-5-1
2.38Buts par match 3.08
2.81Buts contre par match 2.81
22.62%Pourcentage en avantage numérique19.48%
83.58%Pourcentage en désavantage numérique81.08%
Comets
8-18-1, 17pts
2025-10-23
Americans
12-11-3, 27pts
Statistiques d’équipe
L3SéquenceW2
7-6-0Fiche domicile10-2-0
1-12-1Fiche visiteur2-9-3
4-6-010 derniers matchs4-5-1
2.59Buts par match 2.38
4.11Buts contre par match 2.38
25.30%Pourcentage en avantage numérique22.62%
66.27%Pourcentage en désavantage numérique83.58%
Wolf Pack
16-13-0, 32pts
2025-10-26
Americans
12-11-3, 27pts
Statistiques d’équipe
L1SéquenceW2
8-4-0Fiche domicile10-2-0
8-9-0Fiche visiteur2-9-3
6-4-010 derniers matchs4-5-1
2.93Buts par match 2.38
2.79Buts contre par match 2.38
15.22%Pourcentage en avantage numérique22.62%
75.95%Pourcentage en désavantage numérique83.58%
Americans
12-11-3, 27pts
2025-10-28
Islanders
14-10-3, 31pts
Statistiques d’équipe
W2SéquenceW2
10-2-0Fiche domicile9-2-2
2-9-3Fiche visiteur5-8-1
4-5-110 derniers matchs4-5-1
2.38Buts par match 3.37
2.81Buts contre par match 3.37
22.62%Pourcentage en avantage numérique17.57%
83.58%Pourcentage en désavantage numérique84.71%
Meneurs d'équipe
Buts
Markus Hannikainen
10
Passes
Jonathan Aspirot
13
Points
Jonathan Aspirot
16
Plus/Moins
Joseph Blandisi
0
Victoires
Louis Domingue
8
Pourcentage d’arrêts
Matej Tomek
0.923

Statistiques d’équipe
Buts pour
62
2.38 GFG
Tirs pour
715
27.50 Avg
Pourcentage en avantage numérique
22.6%
19 GF
Début de zone offensive
39.6%
Buts contre
73
2.81 GAA
Tirs contre
714
27.46 Avg
Pourcentage en désavantage numérique
83.6%%
11 GA
Début de la zone défensive
41.0%
Informations de l'équipe

Directeur généralCédric Racine
EntraîneurJack Capuano
DivisionDivision Nord-Est
ConférenceConference 1
CapitaineOlli Maatta
Assistant #1Markus Hannikainen
Assistant #2Joseph Blandisi


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure21
Limite Contrat53 / 56
Espoirs12


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
1Joseph Blandisi (A)0XX100.0070488869707177695769706568726138536503221,500,000$
2Brett Ritchie24XX100.0065459570756875716467687364745646406503311,250,000$
3Miikka Salomaki0XXX97.0059449969727377706368677265625030536403321,200,000$
4Lukas Sedlak22XXX100.0074518969746977716768697067655230466403331,500,000$
5Ondrej Kase95XX100.0061459971707174686265686764645854316403021,200,000$
6Markus Hannikainen (A)77XX100.0060449669716980705965717270686030536403311,500,000$
7Shane Prince33XXX100.0060469769706880707271677064625030536303321,500,000$
8William Lockwood67XX100.008345827267646669686460755553495454630281700,000$
9Jakob Lilja0XX100.0059459870727184705766677265574634536303331,200,000$
10Linden Vey0XX100.0060459570727275696167676865635326316303531,200,000$
11Ty Ronning26XX100.006246887266727668586870715964535453630291700,000$
12Matthew Peca0XXX100.006045986969716769626666726454493053620333900,000$
13Jonathan Aspirot (R)0X100.007055877671768578457267766150454050670271900,000$
14William Borgen0X100.0080457773737177754572707662654750446702921,350,000$
15Olli Maatta (C)0X100.0051429972737181754571677165886350536703212,500,000$
16Kasper Kotkansalo0X100.006744877271727565456566715657495453640271800,000$
17Xavier Bernard76X100.007651707373727067456656725049466256630261750,000$
18Tim Erixon0X100.0057449969727471674565637062574722316303521,400,000$
Rayé
1Adam Tambellini0XXX84.6061449570736974706068667364634838436303131,500,000$
2Jacob Melanson (R)0X96.038050817970697670506866716045457039630231900,000$
3Joel Kellman0X100.006245977070707869636766686451463421620322900,000$
4Dan O'Regan0X100.005945987069686968696664696254463424620323900,000$
5Iiro Pakarinen0XX100.006045996972707069586667706559492621620352900,000$
6Oleg Zaytsev13X100.006545887270686864596764636045456624610252750,000$
7Kevin Hancock98XXX100.005745957268647364706465666056495424610281500,000$
8Cedrick Guindon (R)0XXX100.007054627169696964706662666045497024600223750,000$
9Keegan Lowe0X100.0084677968726770684566637161574730246303321,200,000$
10Jack Sadek12X100.006448767274645967456756685855525424610292800,000$
11Brendan DeJong21X100.007442737073676455455652695647465424590283500,000$
MOYENNE D’ÉQUIPE99.21664789717170746957676570625950444063
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
1Louis Domingue70100.007787858078748177788077686826556603412,000,000$
2Matej Tomek42100.00838068807874847474787751635454630292900,000$
Rayé
1Edward Pasquale80100.007575728178717775757776475222376103521,100,000$
MOYENNE D’ÉQUIPE100.0078817580787381757678775561344963
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jack Capuano84879174999950USA612100,000$


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
1Jonathan AspirotAmericans (Buf)D2631316-318039184520276.67%3756421.732682470011051000%000100.5700000000
2Olli MaattaAmericans (Buf)D2641216-7408253092113.33%2355321.282571868000028110%000000.5800000010
3Ty RonningAmericans (Buf)LW/RW2651116-510021205411379.26%542816.493471366000001040.63%3200000.7500000112
4Miikka SalomakiAmericans (Buf)C/LW/RW267815-42055136102719.44%642816.480222141014520049.70%49900100.7001000110
5Markus HannikainenAmericans (Buf)LW/RW2610515-760142575164713.33%348818.804371372000092053.85%3900000.6101000201
6Joseph BlandisiAmericans (Buf)LW/RW2621214014049205214473.85%448018.471451273000000036.36%3300000.5811000101
7Shane PrinceAmericans (Buf)C/LW/RW266410-420193554134011.11%247018.09112764000032048.00%57500000.4300000011
8William BorgenAmericans (Buf)D234610-626047232441816.67%3645519.80224515000138120%000000.4400000020
9Kasper KotkansaloAmericans (Buf)D262810-51001613288187.14%2147618.321231055011012000%000000.4200000001
10Lukas SedlakAmericans (Buf)C/LW/RW265510-525543346121458.20%341315.91022864000001149.59%48800000.4801010210
11Adam TambelliniAmericans (Buf)C/LW/RW26459-5208186216316.45%647718.3631411650001530039.00%10000000.3800000101
12Xavier BernardAmericans (Buf)D26167-61554113113149.09%2046818.02011117000047010%000000.3000100110
13Jakob LiljaAmericans (Buf)LW/RW26246-4004163414255.88%233212.7700004000001052.38%2100000.3600000010
14Jacob MelansonAmericans (Buf)RW22246-24037203412335.88%227712.5900000000001031.82%2200000.4300000011
15Matthew PecaAmericans (Buf)C/LW/RW26123-600127225244.55%32118.1300000101190047.70%23900000.2800000000
16Brett RitchieAmericans (Buf)LW/RW21022-400716199200%21999.49000000000370046.15%1300000.2000000000
17William LockwoodAmericans (Buf)LW/RW26101-71152313326273.13%626610.24000020000610052.17%2300000.0800001000
18Ondrej KaseAmericans (Buf)LW/RW5011020022150%1499.860000001109000%300000.4100000000
19Tim ErixonAmericans (Buf)D5011-100124210%28717.480000200009000%000000.2300000000
20Linden VeyAmericans (Buf)LW/RW4000000029240%05112.8500000000000066.67%30000000000000
Statistiques d’équipe totales ou en moyenne44459109168-81151153833936881965118.58%184718016.17193352124658235742310547.99%209000200.47141119108
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
1Louis DomingueAmericans (Buf)208830.8922.78116501544980110.5004205100
2Matej TomekAmericans (Buf)74200.9232.42372011519401000620210
3Edward PasqualeAmericans (Buf)10100.9054.2928002210000001000
Statistiques d’équipe totales ou en moyenne28121130.9002.721566027171302142626310


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
Adam Tambellini (sur la masse salariale)Americans (Buf)C/LW/RW311994-11-01CANNo194 Lbs6 ft3NoNoFree AgentNoNo32026-07-15FalseFalsePro & Farm1,500,000$0$0$Yes1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Brendan DeJongAmericans (Buf)D281998-03-23CANNo200 Lbs6 ft5NoNoN/ANoNo32026-04-29FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Brett RitchieAmericans (Buf)LW/RW331993-07-01CANNo215 Lbs6 ft4NoNoTrade2025-04-16NoNo12024-07-12FalseFalsePro & Farm1,250,000$0$0$No---------------------------Lien
Cedrick GuindonAmericans (Buf)C/LW/RW222004-04-21CANYes185 Lbs5 ft11NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Dan O'ReganAmericans (Buf)C321994-01-30DEUNo180 Lbs5 ft10NoNoFree Agent2025-05-26NoNo32026-07-22FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Edward PasqualeAmericans (Buf)G351990-11-20CANNo218 Lbs6 ft3NoNoFree AgentNoNo22025-07-08FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Iiro PakarinenAmericans (Buf)LW/RW351991-08-25FINNo198 Lbs6 ft0NoNoFree AgentNoNo22026-07-28FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Jack SadekAmericans (Buf)D291997-04-19USANo197 Lbs6 ft2NoNoN/ANoNo22025-05-28FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Jacob MelansonAmericans (Buf)RW232003-04-22CANYes207 Lbs6 ft0NoNoFree AgentNoNo12026-05-11FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Jakob LiljaAmericans (Buf)LW/RW331993-07-23SWENo196 Lbs6 ft0NoNoFree AgentNoNo32026-07-17FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Joel KellmanAmericans (Buf)C321994-05-25SWENo192 Lbs5 ft11NoNoFree AgentNoNo22026-07-28FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Jonathan AspirotAmericans (Buf)D271999-05-16CANYes212 Lbs6 ft0NoNoFree AgentNoNo12026-05-01FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Joseph BlandisiAmericans (Buf)LW/RW321994-07-18CANNo182 Lbs6 ft0NoNoFree Agent2024-01-13NoNo22026-07-15FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Kasper KotkansaloAmericans (Buf)D271998-11-16FINNo205 Lbs6 ft2NoNoWaiverNoNo12026-04-29FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Keegan LoweAmericans (Buf)D331993-03-29USANo194 Lbs6 ft2NoNoTrade2026-05-01NoNo22025-07-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Kevin HancockAmericans (Buf)C/LW/RW281998-03-02CANNo181 Lbs5 ft11NoNoTrade2025-08-05NoNo12026-04-29FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Linden VeyAmericans (Buf)LW/RW351991-07-17CANNo189 Lbs6 ft2NoNoFree Agent2025-05-13NoNo32026-07-22FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Louis DomingueAmericans (Buf)G341992-03-06CANNo207 Lbs6 ft3NoNoFree AgentNoNo12025-07-03FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Lukas SedlakAmericans (Buf)C/LW/RW331993-02-25CZENo216 Lbs6 ft0NoNoFree Agent2025-04-16NoNo32026-07-15FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Markus HannikainenAmericans (Buf)LW/RW331993-03-26FINNo200 Lbs6 ft1NoNoFree Agent2025-02-01NoNo12025-07-08FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Matej TomekAmericans (Buf)G291997-05-24SVKNo182 Lbs6 ft3NoNoN/ANoNo22025-05-28FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Matthew PecaAmericans (Buf)C/LW/RW331993-04-27CANNo180 Lbs5 ft10NoNoFree Agent2025-11-19NoNo32026-07-22FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Miikka SalomakiAmericans (Buf)C/LW/RW331993-03-09FINNo202 Lbs5 ft11NoNoFree AgentNoNo22026-07-17FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Oleg ZaytsevAmericans (Buf)C252001-01-07RUSNo190 Lbs6 ft1NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Olli MaattaAmericans (Buf)D321994-08-22FINNo207 Lbs6 ft2NoNoTrade2026-05-01NoNo12024-07-12FalseFalsePro & Farm2,500,000$0$0$No---------------------------Lien
Ondrej KaseAmericans (Buf)LW/RW301995-11-08CZENo187 Lbs6 ft0NoNoFree AgentNoNo22025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Shane PrinceAmericans (Buf)C/LW/RW331992-11-16USANo194 Lbs5 ft11NoNoFree AgentNoNo22025-07-11FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Tim ErixonAmericans (Buf)D351991-02-24USANo198 Lbs6 ft2NoNoTrade2026-05-01NoNo22025-08-01FalseFalsePro & Farm1,400,000$0$0$No1,400,000$--------1,400,000$--------No--------Lien
Ty RonningAmericans (Buf)LW/RW291997-10-20USANo172 Lbs5 ft9NoNoN/ANoNo12026-04-29FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
William BorgenAmericans (Buf)D291996-12-19USANo196 Lbs6 ft3NoNoTrade2026-07-06NoNo22026-04-29FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------Lien
William LockwoodAmericans (Buf)LW/RW281998-06-20USANo172 Lbs5 ft11NoNoN/ANoNo12026-04-29FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Xavier BernardAmericans (Buf)D262000-01-06CANNo205 Lbs6 ft3NoNoProspectNoNo12024-06-05FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3230.53195 Lbs6 ft11.911,114,063$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ty RonningMiikka SalomakiMarkus Hannikainen32023
2Brett RitchieLukas SedlakJoseph Blandisi28023
3Jakob LiljaShane PrinceLinden Vey25032
4Ondrej KaseMatthew PecaWilliam Lockwood15032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonathan AspirotWilliam Borgen35032
2Olli MaattaKasper Kotkansalo35032
3Tim ErixonXavier Bernard30032
4Olli MaattaWilliam Borgen0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ty RonningMiikka SalomakiMarkus Hannikainen52023
2Brett RitchieLukas SedlakJoseph Blandisi48023
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli MaattaJonathan Aspirot52023
2Xavier BernardKasper Kotkansalo48023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matthew PecaWilliam Lockwood53032
2Shane PrinceBrett Ritchie47032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonathan AspirotWilliam Borgen52032
2Tim ErixonXavier Bernard48032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Miikka Salomaki52041Jonathan AspirotWilliam Borgen51041
2Matthew Peca48041Tim ErixonXavier Bernard49041
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Shane PrinceMarkus Hannikainen54023
2Lukas SedlakJoseph Blandisi46023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli MaattaWilliam Borgen51023
2Xavier BernardKasper Kotkansalo49023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joseph BlandisiShane PrinceMarkus HannikainenTy RonningJonathan Aspirot
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joseph BlandisiMiikka SalomakiWilliam LockwoodOlli MaattaJonathan Aspirot
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Miikka Salomaki, Linden Vey, Jakob LiljaMiikka Salomaki, Jakob LiljaMarkus Hannikainen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Xavier Bernard, Kasper Kotkansalo, Olli MaattaKasper KotkansaloOlli Maatta, Kasper Kotkansalo
Tirs de pénalité
Joseph Blandisi, Markus Hannikainen, Lukas Sedlak, Miikka Salomaki, Jakob Lilja
Gardien
#1 : Louis Domingue, #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
TotalDomicile Visiteur
# 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 RI
1Bears21100000330110000002111010000012-120.500358001926162482312382391145138372150.00%4175.00%038182446.24%43185350.53%19140447.28%606406610199349175
2BruinsF30100101612-60000000000030100101612-620.3336111700192616291231238239119025144411327.27%6183.33%038182446.24%43185350.53%19140447.28%606406610199349175
3Checkers2110000045-11010000024-21100000021120.50048120019261625123123823911611913346116.67%4250.00%038182446.24%43185350.53%19140447.28%606406610199349175
4Comets2110000056-1110000003211010000024-220.50059140019261625923123823911601416297228.57%8362.50%038182446.24%43185350.53%19140447.28%606406610199349175
5Firebirds21100000761110000003121010000045-120.500710170019261627923123823911471383014321.43%40100.00%038182446.24%43185350.53%19140447.28%606406610199349175
6Islanders21000100541110000003121000010023-130.7505914001926162592312382391149171927600.00%70100.00%038182446.24%43185350.53%19140447.28%606406610199349175
7Marlies2110000056-1110000004131010000015-420.50051015001926162492312382391152186298112.50%30100.00%138182446.24%43185350.53%19140447.28%606406610199349175
8Moose2020000059-4000000000002020000059-400.000510151019261625623123823911502621336233.33%3166.67%038182446.24%43185350.53%19140447.28%606406610199349175
9PenguinsF20200000513-80000000000020200000513-800.00058130019261625123123823911752214363133.33%7271.43%038182446.24%43185350.53%19140447.28%606406610199349175
10Phantoms11000000422110000004220000000000021.00047110019261622223123823911271048300.00%20100.00%038182446.24%43185350.53%19140447.28%606406610199349175
11SenatorsF211000003301010000013-21100000020220.500369011926162552312382391141138249111.11%40100.00%038182446.24%43185350.53%19140447.28%606406610199349175
12StarsF11000000211110000002110000000000021.00024600192616232231238239112348154125.00%40100.00%038182446.24%43185350.53%19140447.28%606406610199349175
13Wolf Pack11000000312110000003120000000000021.0003690019261621623123823911298121611100.00%60100.00%038182446.24%43185350.53%19140447.28%606406610199349175
14Wolves21001000523210010005230000000000041.00059140119261624723123823911652012364250.00%5180.00%138182446.24%43185350.53%19140447.28%606406610199349175
Total261111012016273-111292010003219131429002013054-24270.5196211217412192616271523123823911714222163398841922.62%671183.58%238182446.24%43185350.53%19140447.28%606406610199349175
_Since Last GM Reset261111012016273-111292010003219131429002013054-24270.5196211217412192616271523123823911714222163398841922.62%671183.58%238182446.24%43185350.53%19140447.28%606406610199349175
_Vs Conference251011012016072-121182010003018121429002013054-24250.5006010816812192616268323123823911691218155383801822.50%631182.54%238182446.24%43185350.53%19140447.28%606406610199349175
_Vs Division1223001013031-17110000020911512001011022-1260.250305383011926162302231238239113501048518926726.92%39782.05%138182446.24%43185350.53%19140447.28%606406610199349175

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2627W26211217471571422216339812
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
26111112016273
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
129210003219
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
142902013054
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
841922.62%671183.58%2
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
231238239111926162
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
38182446.24%43185350.53%19140447.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
606406610199349175


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 - 2025-08-286Wolves2Americans3WXSommaire du match
4 - 2025-08-3133Americans2Moose4LSommaire du match
6 - 2025-09-0248Bears1Americans2WSommaire du match
8 - 2025-09-0470Americans4Firebirds5LSommaire du match
10 - 2025-09-0687Americans1Bears2LSommaire du match
11 - 2025-09-0789Americans4BruinsF5LXXSommaire du match
13 - 2025-09-09108Wolf Pack1Americans3WSommaire du match
17 - 2025-09-13133Wolves0Americans2WSommaire du match
19 - 2025-09-15149Americans1Marlies5LSommaire du match
22 - 2025-09-18167Comets2Americans3WSommaire du match
25 - 2025-09-21188Checkers4Americans2LSommaire du match
27 - 2025-09-23210Americans1BruinsF5LSommaire du match
29 - 2025-09-25220Americans2Checkers1WSommaire du match
30 - 2025-09-26232Phantoms2Americans4WSommaire du match
33 - 2025-09-29252Islanders1Americans3WSommaire du match
35 - 2025-10-01267Americans2Islanders3LXSommaire du match
37 - 2025-10-03283Firebirds1Americans3WSommaire du match
39 - 2025-10-05297Americans2Comets4LSommaire du match
41 - 2025-10-07308Americans5PenguinsF7LSommaire du match
43 - 2025-10-09321Americans3Moose5LSommaire du match
45 - 2025-10-11333SenatorsF3Americans1LSommaire du match
47 - 2025-10-13348Americans1BruinsF2LXSommaire du match
49 - 2025-10-15362Marlies1Americans4WSommaire du match
51 - 2025-10-17382Americans0PenguinsF6LSommaire du match
53 - 2025-10-19393StarsF1Americans2WSommaire du match
55 - 2025-10-21410Americans2SenatorsF0WSommaire du match
57 - 2025-10-23422Comets-Americans-
60 - 2025-10-26448Wolf Pack-Americans-
62 - 2025-10-28460Americans-Islanders-
65 - 2025-10-31482Wolf Pack-Americans-
67 - 2025-11-02498Americans-Silver Knights-
69 - 2025-11-04510Americans-Firebirds-
70 - 2025-11-05522BruinsF-Americans-
73 - 2025-11-08546Icehogs-Americans-
75 - 2025-11-10563Americans-Crunch-
77 - 2025-11-12573Americans-Icehogs-
78 - 2025-11-13586Firebirds-Americans-
80 - 2025-11-15602Americans-Roadrunners-
82 - 2025-11-17616Checkers-Americans-
85 - 2025-11-20635Americans-SenatorsF-
87 - 2025-11-22649Monsters-Americans-
90 - 2025-11-25670Rocket-Americans-
92 - 2025-11-27688Americans-Crunch-
94 - 2025-11-29701Rocket-Americans-
96 - 2025-12-01713Americans-Gulls-
99 - 2025-12-04736Canucks-Americans-
101 - 2025-12-06745Americans-Condors-
103 - 2025-12-08763Americans-Checkers-
105 - 2025-12-10774Wolves-Americans-
108 - 2025-12-13796Americans-Wranglers-
109 - 2025-12-14807Islanders-Americans-
112 - 2025-12-17829Americans-Marlies-
113 - 2025-12-18836SenatorsF-Americans-
116 - 2025-12-21860Americans-Phantoms-
118 - 2025-12-23871Moose-Americans-
120 - 2025-12-25888Americans-Bears-
122 - 2025-12-27902Americans-Admirals-
123 - 2025-12-28910Eagles-Americans-
126 - 2025-12-31932BruinsF-Americans-
127 - 2026-01-01940Americans-Wolf Pack-
130 - 2026-01-04960Griffins-Americans-
134 - 2026-01-08992Barracuda-Americans-
136 - 2026-01-101006Americans-Rocket-
138 - 2026-01-121021Moose-Americans-
139 - 2026-01-131028Americans-Canucks-
143 - 2026-01-171054Phantoms-Americans-
145 - 2026-01-191069Americans-Comets-
147 - 2026-01-211086Bears-Americans-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2026-01-231102Americans-Thunderbirds-
151 - 2026-01-251114Marlies-Americans-
153 - 2026-01-271126Americans-Iowa Wild-
155 - 2026-01-291145Bears-Americans-
158 - 2026-02-011161Americans-Wolves-
161 - 2026-02-041183Crunch-Americans-
164 - 2026-02-071204Americans-Iowa Wild-
165 - 2026-02-081211Reign-Americans-
168 - 2026-02-111229Americans-Wolves-
171 - 2026-02-141246Crunch-Americans-
174 - 2026-02-171272PenguinsF-Americans-
176 - 2026-02-191291Americans-Phantoms-
179 - 2026-02-221305PenguinsF-Americans-
180 - 2026-02-231312Americans-Wolf Pack-
182 - 2026-02-251333Reign-Americans-
183 - 2026-02-261341Americans-Rocket-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance24,00012,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
30 3000 - 100.00% 178,800$2,145,600$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,174,709$ 3,415,000$ 3,415,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,144,260$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,364,000$ 128 19,103$ 2,445,184$




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