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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
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure15
Limite contact 40 / 55
Espoirs9


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique42-35-5 (0.512%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)10-7
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Matthew PecaXX100.0059439870697472737670727770605150506603112,000,000$
2Antti SuomelaX100.006946867267748369767268726860504950650301900,000$
3Tanner Kero (A)X100.0062459772697675697871656863665350506503112,500,000$
4Drake RymshaX100.007457787269737270696969746050476050640252750,000$
5Sheldon DriesXX100.0062459672677469696468706971585053506403012,500,000$
6William LockwoodXX100.008145787267687070666163775552496050630251900,000$
7Chase PearsonXX100.007045857270667367726766775454476050630261750,000$
8Joonas KemppainenXX100.0063459569707381687066666963554730506203611,500,000$
9Cale FleuryX100.007246927071727471456861745656486050650252900,000$
10Yohann AuvituX100.0058449570696871714570707270574838506403411,500,000$
11Noel HoefenmayerX100.006544867269727266456866705651486050630252750,000$
Rayé
1Cole Sillinger (R)X100.007050877470829073727373796765458050680213900,000$
2Anton BlidhXX100.0081457773717978726372717270635156506602911,500,000$
3Dominic TurgeonX100.0068458672706875707570687660604958506502811,200,000$
4Nikolay Goldobin (A)XX100.0056409274687173666966706270795754506402821,100,000$
5Ty RonningXX100.0063458672667076695969727059575160506402621,100,000$
6Stephane Da CostaX100.0064548471676563676368686666524738506203411,700,000$
7Henri IkonenXX100.0069457368726761666464597358545048506103000$
8Keenan SuthersXX100.007348807278676656485959635747466050590261750,000$
9Ilya LyubushkinX100.0076498472717589734571667462765151506703000$
10Jack SadekX100.006850767274646367456360695854516250620271900,000$
11Brendan DeJongX100.007342727073706756455854685647466050590261750,000$
MOYENNE D’ÉQUIPE100.00684686727071736862676671625849545064
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Olivier Roy100.007776767678757979787779495347506303211,800,000$
Rayé
1Matej Tomek100.00838369807870807070747749596050610261750,000$
2Austin Lotz100.00787464777768746868726847555450580282500,000$
MOYENNE D’ÉQUIPE100.0079787078787178727274754856545061
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jack Capuano77868577999960USA594100,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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 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 Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Anton BlidhAmericans (Buf)LW/RW291995-03-14No201 Lbs6 ft0NoNoN/ANoNo12024-04-29Pro & Farm1,500,000$0$0$No------------------Lien
Antti SuomelaAmericans (Buf)C301994-03-17No180 Lbs6 ft1NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Austin LotzAmericans (Buf)G281995-05-27No190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm500,000$0$0$No500,000$--------No--------Lien
Brendan DeJongAmericans (Buf)D261998-03-23No200 Lbs6 ft5NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Cale FleuryAmericans (Buf)D251998-11-19No204 Lbs6 ft1NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Chase PearsonAmericans (Buf)LW/RW261997-08-23No202 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Cole SillingerAmericans (Buf)C212003-05-16Yes199 Lbs6 ft1NoNoTrade (Prospect)NoNo32024-04-29Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Dominic TurgeonAmericans (Buf)C281996-02-25No199 Lbs6 ft2NoNoN/ANoNo12024-04-29Pro & Farm1,200,000$0$0$No------------------Lien
Drake RymshaAmericans (Buf)C251998-08-06No187 Lbs6 ft0NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Henri IkonenAmericans (Buf)LW/RW301994-04-17No191 Lbs6 ft0NoNoN/ANoNo0Pro & Farm0$0$No------------------Lien
Ilya LyubushkinAmericans (Buf)D301994-04-06No201 Lbs6 ft3NoNoN/ANoNo0Pro & Farm0$0$No------------------Lien
Jack SadekAmericans (Buf)D271997-04-19No197 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Joonas KemppainenAmericans (Buf)LW/RW361988-04-07No185 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Keenan SuthersAmericans (Buf)LW/RW261998-04-27No245 Lbs6 ft8NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Matej TomekAmericans (Buf)G261997-05-24No182 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Matthew PecaAmericans (Buf)LW/RW311993-04-27No181 Lbs5 ft10NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------Lien
Nikolay GoldobinAmericans (Buf)LW/RW281995-10-07No196 Lbs5 ft11NoNoN/ANoNo22024-04-29Pro & Farm1,100,000$0$0$No1,100,000$--------No--------Lien
Noel HoefenmayerAmericans (Buf)D251999-01-06No191 Lbs6 ft0NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Olivier RoyAmericans (Buf)G321991-07-12No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,800,000$0$0$No------------------Lien
Sheldon DriesAmericans (Buf)LW/RW301994-04-23No180 Lbs5 ft9NoNoN/ANoNo1Pro & Farm2,500,000$0$0$No------------------Lien
Stephane Da CostaAmericans (Buf)C341989-07-11No178 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,700,000$0$0$No------------------Lien
Tanner KeroAmericans (Buf)C311992-07-24No185 Lbs6 ft0NoNoN/ANoNo1Pro & Farm2,500,000$0$0$No------------------Lien
Ty RonningAmericans (Buf)LW/RW261997-10-20No172 Lbs5 ft9NoNoN/ANoNo22024-04-29Pro & Farm1,100,000$0$0$No1,100,000$--------No--------Lien
William LockwoodAmericans (Buf)LW/RW251998-06-20No172 Lbs5 ft11NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Yohann AuvituAmericans (Buf)D341989-07-27No196 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2528.36192 Lbs6 ft11.241,116,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew PecaAntti Suomela33023
2Tanner KeroSheldon Dries28023
3Joonas KemppainenDrake Rymsha23023
4Chase PearsonWilliam Lockwood16032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Yohann Auvitu37023
2Noel HoefenmayerCale Fleury35032
328122
4Cale Fleury0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew PecaAntti Suomela52014
2Sheldon DriesTanner Kero48014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale FleuryNoel Hoefenmayer52023
2Yohann Auvitu48023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Drake RymshaWilliam Lockwood53032
2Chase Pearson47032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale Fleury56032
2Yohann AuvituNoel Hoefenmayer44032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Drake Rymsha52014Cale Fleury55050
248014Yohann AuvituNoel Hoefenmayer45050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Antti SuomelaMatthew Peca52023
2Tanner Kero48023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cale FleuryNoel Hoefenmayer52032
2Yohann Auvitu48032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew PecaAntti SuomelaCale Fleury
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew PecaDrake RymshaWilliam LockwoodCale Fleury
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joonas Kemppainen, , William Lockwood, Chase PearsonMatthew Peca
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Noel Hoefenmayer, , Yohann Auvitu,
Tirs de pénalité
, Sheldon Dries, , Matthew Peca, Antti Suomela
Gardien
#1 : , #2 : Olivier Roy


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4015
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,790,000$ 2,790,000$ 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$ 0 0$ 0$




Americans Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Matthew Peca82323264128469428911.07%30154418.8357123100074456.03%20.8339
2Antti Suomela822041615508312919810.10%19143917.5549133900005252.97%00.8513
3Anton Blidh8030285813721739424612.20%12142117.7757124100013146.90%00.8245
4Ty Ronning76282755120706121013.33%12135517.8468143500002034.78%10.8101
5Yohann Auvitu7093948182233538011.25%59133319.05369390000100%00.7223

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
1Anton Khudobin55272340.8833.2929942416414000110.71428
2Olivier Roy37151210.8903.091980011029300120.85714

Americans Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
15823335022732792727411720000221391390411615022511401337892794797583597918215253984582784761233367366414142344318.38%2915880.07%41460287750.75%1409271151.97%739142651.82%1959133619386131084543
Total Saison régulière823335022732792727411720000221391390411615022511401337892794797583597918215253984582784761233367366414142344318.38%2915880.07%41460287750.75%1409271151.97%739142651.82%1959133619386131084543
Séries éliminatoires
151710700000595728530000029263954000003031-12059105164002018183511192153162448415410832154814.81%43881.40%030058651.19%28053752.14%14528950.17%421293381123224113
Total Séries éliminatoires1710700000595728530000029263954000003031-12059105164002018183511192153162448415410832154814.81%43881.40%030058651.19%28053752.14%14528950.17%421293381123224113

Americans Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Cale Fleury17113145182819273.70%2937522.11134150000000%00.7500
2Austin Levi1711112-425489156.67%1031518.5302270000000%00.7600
3Noel Hoefenmayer173912761272412.50%1436521.49202120000000%00.6600
4Yohann Auvitu172911-12612229.09%2337021.77022100001000%00.5900
5Tanner Kero1756112415234211.90%229117.12112700001154.11%00.7600

Americans Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Anton Khudobin1710700.8723.63910205543100000
2Olivier Roy40000.9621.041150025300000