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Connexion

Americans
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Cédric Racine | Morale : 50 | Moyenne d’équipe : 63
Prochains matchs #6 vs Wolves

Wolves
0-0-0, 0pts
2026-07-16
Americans
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Americans
0-0-0, 0pts
2026-07-19
Moose
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Bears
0-0-0, 0pts
2026-07-21
Americans
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
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
Assistance
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure21
Limite contact 52 / 56
Espoirs11


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Joseph Blandisi (A)0XX100.0070488869707177695769706568726138476503221,500,000$
2Brett Ritchie24XX100.0065459570756875716467687364745646506503311,250,000$
3Miikka Salomaki0XXX100.0059449969727377706368677265625030476403321,200,000$
4Lukas Sedlak22XXX100.0074518969746977716768697067655230476403331,500,000$
5Markus Hannikainen (A)77XX100.0060449669716980705965717270686030506403311,500,000$
6Adam Tambellini0XXX100.0061449570736974706068667364634838476303131,500,000$
7Shane Prince33XXX100.0060469769706880707271677064625030506303321,500,000$
8William Lockwood67XX100.008345827267646669686460755553495447630281700,000$
9Jacob Melanson (R)0X100.008050817970697670506866716045457050630231900,000$
10Ivan Morozov17X100.006745767369726969736966626048466620620261750,000$
11Dan O'Regan0X100.005945987069686968696664696254463447620323900,000$
12Matthew Peca0XXX100.006045986969716769626666726454493047620333900,000$
13William Borgen0X100.0080457773737177754572707662654750496702921,350,000$
14Olli Maatta (C)0X100.0051429972737181754571677165886350426703112,500,000$
15Cale Fleury38X100.0069459370717678724568637456635154506602711,000,000$
16Kasper Kotkansalo0X100.006744877271727565456566715657495450640271800,000$
17Xavier Bernard76X100.007651707373727067456656725049466250630261750,000$
18Keegan Lowe0X100.0084677968726770684566637161574730526303321,200,000$
Rayé
1Ondrej Kase95XX100.0061459971707174686265686764645854506403021,200,000$
2Jakob Lilja0XX100.0059459870727184705766677265574634476303331,200,000$
3Linden Vey0XX100.0060459570727275696167676865635326476303531,200,000$
4Ty Ronning26XX100.006246887266727668586870715964535450630281700,000$
5Oleg Zaytsev13X100.006545887270686864596764636045456647610252750,000$
6Kevin Hancock98XXX100.005745957268647364706465666056495450610281500,000$
7Cedrick Guindon (R)0XXX100.007054627169696964706662666045497050600223750,000$
8Tim Erixon0X100.0057449969727471674565637062574722526303521,400,000$
9Jack Sadek12X100.006448767274645967456756685855525450610292800,000$
10Brendan DeJong21X100.007442737073676455455652695647465447590283500,000$
MOYENNE D’ÉQUIPE100.00664788717170736857676570625950464863
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Louis Domingue70100.007787858078748177788077686826506603412,000,000$
2Matej Tomek42100.00838068807874847474787751635450630292900,000$
Rayé
1Edward Pasquale80100.007575728178717775757776475222506103521,100,000$
MOYENNE D’ÉQUIPE100.0078817580787381757678775561345063
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
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


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 TambelliniAmericans (Buf)C/LW/RW311994-11-01CANNo194 Lbs6 ft3NoNoFree AgentNoNo32026-07-15FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------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
Cale FleuryAmericans (Buf)D271998-11-19CANNo204 Lbs6 ft1NoNoN/ANoNo12026-04-29FalseFalsePro & Farm1,000,000$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
Ivan MorozovAmericans (Buf)C262000-05-05RUSNo178 Lbs6 ft1NoNoTrade2025-04-16NoNo12024-06-05FalseFalsePro & Farm750,000$0$0$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
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)D311994-08-22FINNo207 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/RW281997-10-20USANo172 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
3130.13195 Lbs6 ft11.871,119,355$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett RitchieShane PrinceJoseph Blandisi25122
2Miikka SalomakiIvan MorozovLukas Sedlak25122
3Markus HannikainenDan O'ReganAdam Tambellini25122
4William LockwoodMatthew PecaJacob Melanson25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli MaattaWilliam Borgen25122
2Cale FleuryKasper Kotkansalo25122
3Xavier BernardKeegan Lowe25122
4Olli MaattaWilliam Borgen25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett RitchieShane PrinceJoseph Blandisi50122
2Miikka SalomakiIvan MorozovLukas Sedlak50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli MaattaWilliam Borgen50122
2Cale FleuryKasper Kotkansalo50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brett RitchieJoseph Blandisi50122
2Miikka SalomakiLukas Sedlak50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli MaattaWilliam Borgen50122
2Cale FleuryKasper Kotkansalo50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Ritchie50122Olli MaattaWilliam Borgen50122
2Joseph Blandisi50122Cale FleuryKasper Kotkansalo50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brett RitchieJoseph Blandisi50122
2Miikka SalomakiLukas Sedlak50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli MaattaWilliam Borgen50122
2Cale FleuryKasper Kotkansalo50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett RitchieShane PrinceJoseph BlandisiOlli MaattaWilliam Borgen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett RitchieShane PrinceJoseph BlandisiOlli MaattaWilliam Borgen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Markus Hannikainen, Adam Tambellini, William LockwoodMarkus Hannikainen, Adam TambelliniWilliam Lockwood
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Xavier Bernard, Keegan Lowe, Cale FleuryXavier BernardKeegan Lowe, Cale Fleury
Tirs de pénalité
Brett Ritchie, Joseph Blandisi, Miikka Salomaki, Lukas Sedlak, Markus Hannikainen
Gardien
#1 : Louis Domingue, #2 : Matej Tomek


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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 - 2026-07-166Wolves-Americans-
4 - 2026-07-1933Americans-Moose-
6 - 2026-07-2148Bears-Americans-
8 - 2026-07-2370Americans-Firebirds-
10 - 2026-07-2587Americans-Bears-
11 - 2026-07-2689Americans-BruinsF-
13 - 2026-07-28108Wolf Pack-Americans-
17 - 2026-08-01133Wolves-Americans-
19 - 2026-08-03149Americans-Marlies-
22 - 2026-08-06167Comets-Americans-
25 - 2026-08-09188Checkers-Americans-
27 - 2026-08-11210Americans-BruinsF-
29 - 2026-08-13220Americans-Checkers-
30 - 2026-08-14232Phantoms-Americans-
33 - 2026-08-17252Islanders-Americans-
35 - 2026-08-19267Americans-Islanders-
37 - 2026-08-21283Firebirds-Americans-
39 - 2026-08-23297Americans-Comets-
41 - 2026-08-25308Americans-PenguinsF-
43 - 2026-08-27321Americans-Moose-
45 - 2026-08-29333SenatorsF-Americans-
47 - 2026-08-31348Americans-BruinsF-
49 - 2026-09-02362Marlies-Americans-
51 - 2026-09-04382Americans-PenguinsF-
53 - 2026-09-06393StarsF-Americans-
55 - 2026-09-08410Americans-SenatorsF-
57 - 2026-09-10422Comets-Americans-
60 - 2026-09-13448Wolf Pack-Americans-
62 - 2026-09-15460Americans-Islanders-
65 - 2026-09-18482Wolf Pack-Americans-
67 - 2026-09-20498Americans-Silver Knights-
69 - 2026-09-22510Americans-Firebirds-
70 - 2026-09-23522BruinsF-Americans-
73 - 2026-09-26546Icehogs-Americans-
75 - 2026-09-28563Americans-Crunch-
77 - 2026-09-30573Americans-Icehogs-
78 - 2026-10-01586Firebirds-Americans-
80 - 2026-10-03602Americans-Roadrunners-
82 - 2026-10-05616Checkers-Americans-
85 - 2026-10-08635Americans-SenatorsF-
87 - 2026-10-10649Monsters-Americans-
90 - 2026-10-13670Rocket-Americans-
92 - 2026-10-15688Americans-Crunch-
94 - 2026-10-17701Rocket-Americans-
96 - 2026-10-19713Americans-Gulls-
99 - 2026-10-22736Canucks-Americans-
101 - 2026-10-24745Americans-Condors-
103 - 2026-10-26763Americans-Checkers-
105 - 2026-10-28774Wolves-Americans-
108 - 2026-10-31796Americans-Wranglers-
109 - 2026-11-01807Islanders-Americans-
112 - 2026-11-04829Americans-Marlies-
113 - 2026-11-05836SenatorsF-Americans-
116 - 2026-11-08860Americans-Phantoms-
118 - 2026-11-10871Moose-Americans-
120 - 2026-11-12888Americans-Bears-
122 - 2026-11-14902Americans-Admirals-
123 - 2026-11-15910Eagles-Americans-
126 - 2026-11-18932BruinsF-Americans-
130 - 2026-11-22959Griffins-Americans-
134 - 2026-11-26991Barracuda-Americans-
136 - 2026-11-281005Americans-Rocket-
138 - 2026-11-301020Moose-Americans-
139 - 2026-12-011027Americans-Canucks-
143 - 2026-12-051053Phantoms-Americans-
145 - 2026-12-071068Americans-Comets-
147 - 2026-12-091085Bears-Americans-
149 - 2026-12-111101Americans-Thunderbirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151 - 2026-12-131113Marlies-Americans-
153 - 2026-12-151125Americans-Iowa Wild-
155 - 2026-12-171144Bears-Americans-
158 - 2026-12-201160Americans-Wolves-
161 - 2026-12-231182Crunch-Americans-
164 - 2026-12-261203Americans-Iowa Wild-
165 - 2026-12-271210Reign-Americans-
168 - 2026-12-301228Americans-Wolves-
171 - 2027-01-021245Crunch-Americans-
174 - 2027-01-051271PenguinsF-Americans-
176 - 2027-01-071290Americans-Phantoms-
179 - 2027-01-101304PenguinsF-Americans-
180 - 2027-01-111311Americans-Wolf Pack-
181 - 2027-01-121323Americans-Wolf Pack-
182 - 2027-01-131333Reign-Americans-
183 - 2027-01-141341Americans-Rocket-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
42 0 - 0%0$0$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,470,000$ 3,470,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 184 19,402$ 3,569,968$




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