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Americans
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Francois Juteau | Morale : 1 | Moyenne d’équipe : 64
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralFrancois Juteau
EntraîneurGuy Carbonneau
DivisionJohn-Ahearne
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure19
Limite contact 47 / 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 Bailey (R)X100.007534876781767373797386626962464825730231990,000$
2Tanner RichardX100.007944717779627573727874686562543530720251995,000$
3Teemu PulkkinenX100.007124777875827679737172687862533644720262950,000$
4Borna RendulicX100.007943717572677372767173677458513337700261900,000$
5Jakub Vrana (R)X100.006638757468757472756875717651474845700221650,000$
6Joel Eriksson Ek (R)X100.006827817875767369737465737252466034700213900,000$
7Ryan Fitzgerald (R)X100.006943786972717077776770666950524137690243750,000$
8Richard Nejezchleb (R)X100.005946756865716665716876616048493445660241650,000$
9Vladimir Tkachev (R)X100.005744817159706163626375667051514338660231500,000$
10Maxim Mamin (R)X100.006034777162697063706868616647484545650233750,000$
11Nathan Noel (R)X100.006639755678756858697673536448504035650232750,000$
12Alex Schoenborn (R)X100.006750636173607263576769485044443937610223600,000$
13Daniel Sprong (R)X100.005341776772706659605575437043434845610211650,000$
14John Leonard (R)X100.005235646655747059728560375645435530600202500,000$
15Zachary Senyshyn (R)X100.004736747050575962636454507243434925580211500,000$
16Joel Teasdale (R)X100.004931846059745752625751575041436932570192500,000$
17Lauri Pajuniemi (R)X100.006139756159595862555160546243416626570192500,000$
18Cameron Hughes (R)X100.005329675470616060615553455245454625550221500,000$
19Jonas BrodinX100.006928788075757777578168776466523832730251950,000$
20Dillon Heatherington (R)X100.007224887171747970537362816365474145720232900,000$
21Matt Grzelcyk (R)X100.007126738066717376507856725961513936700241950,000$
22Tarmo Reunanen (R)X100.006141787167556362436957735845445234650204750,000$
23Spencer Stastney (R)X100.006335715955555564356342654440406822590182500,000$
24Brayden Pachal (R)X100.005530635361675455284839544241425637530191500,000$
25Xavier Bouchard (R)X100.006133625758474343205430592540406421530182500,000$
Rayé
1Dmitri Semykin (R)X100.005919684746465051235840573940406520520182500,000$
MOYENNE D’ÉQUIPE100.00633574676667666559676261605046483464
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
1Connor Hellebyuk100.00747475717171697073817466523444720251650,000$
2Peyton Jones100.00596665576261645360645742425434600223500,000$
Rayé
MOYENNE D’ÉQUIPE100.0067707064676667626773665447443966
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Carbonneau75915889437754CAN531750,000$


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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
Alex SchoenbornAmericans (Buf)RW221996-01-01Yes205 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm600,000$0$0$No600,000$600,000$-------NoNo-------
Borna RendulicAmericans (Buf)RW261992-01-01No200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No------------------
Brayden PachalAmericans (Buf)D191999-01-01Yes204 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Cameron HughesAmericans (Buf)C221996-01-01Yes195 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Connor HellebyukAmericans (Buf)G251993-01-01No185 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------
Daniel SprongAmericans (Buf)RW211997-01-01Yes191 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------
Dillon HeatheringtonAmericans (Buf)D231995-01-01Yes185 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No975,000$--------No--------
Dmitri SemykinAmericans (Buf)D182000-01-01Yes220 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Jakub VranaAmericans (Buf)RW221996-01-01Yes197 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------
Joel Eriksson EkAmericans (Buf)C211997-01-01Yes210 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm900,000$0$0$No1,500,000$2,000,000$-------NoNo-------
Joel TeasdaleAmericans (Buf)LW191999-01-01Yes212 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
John LeonardAmericans (Buf)LW201998-01-01Yes196 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Jonas BrodinAmericans (Buf)D251993-01-01No194 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No------------------
Justin BaileyAmericans (Buf)LW231995-01-01Yes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm990,000$0$0$No------------------
Lauri PajuniemiAmericans (Buf)RW191999-01-01Yes202 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Matt GrzelcykAmericans (Buf)D241994-01-01Yes171 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No------------------
Maxim MaminAmericans (Buf)C231995-01-01Yes185 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Nathan NoelAmericans (Buf)C231995-01-01Yes209 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------
Peyton JonesAmericans (Buf)G221996-01-01No209 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------NoNo-------
Richard NejezchlebAmericans (Buf)RW241994-01-01Yes187 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------
Ryan FitzgeraldAmericans (Buf)C241994-01-01Yes185 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Spencer StastneyAmericans (Buf)D182000-01-01Yes184 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Tanner RichardAmericans (Buf)C251993-01-01No176 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm995,000$0$0$No------------------
Tarmo ReunanenAmericans (Buf)D201998-01-01Yes179 Lbs6 ft0NoNoN/ANoNo4FalseFalsePro & Farm750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Teemu PulkkinenAmericans (Buf)LW261992-01-01No183 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm950,000$0$0$No950,000$--------No--------
Vladimir TkachevAmericans (Buf)LW231995-01-01Yes165 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Xavier BouchardAmericans (Buf)D182000-01-01Yes198 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Zachary SenyshynAmericans (Buf)RW211997-01-01Yes192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2822.00193 Lbs6 ft11.79686,964$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin BaileyTanner RichardJakub Vrana40122
2Teemu PulkkinenJoel Eriksson EkBorna Rendulic30122
3Vladimir TkachevRyan FitzgeraldRichard Nejezchleb20122
4John LeonardMaxim MaminDaniel Sprong10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas BrodinDillon Heatherington40122
2Matt GrzelcykTarmo Reunanen30122
3Spencer StastneyXavier Bouchard20122
4Brayden PachalJonas Brodin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin BaileyTanner RichardJakub Vrana60122
2Teemu PulkkinenJoel Eriksson EkBorna Rendulic40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas BrodinDillon Heatherington60122
2Matt GrzelcykTarmo Reunanen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Justin BaileyTeemu Pulkkinen60122
2Tanner RichardJakub Vrana40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas BrodinDillon Heatherington60122
2Matt GrzelcykTarmo Reunanen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Justin Bailey60122Jonas BrodinDillon Heatherington60122
2Teemu Pulkkinen40122Matt GrzelcykTarmo Reunanen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Justin BaileyTeemu Pulkkinen60122
2Tanner RichardJakub Vrana40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonas BrodinDillon Heatherington60122
2Matt GrzelcykTarmo Reunanen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin BaileyTanner RichardJakub VranaJonas BrodinDillon Heatherington
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin BaileyTanner RichardJakub VranaJonas BrodinDillon Heatherington
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Noel, Alex Schoenborn, Zachary SenyshynNathan Noel, Alex SchoenbornZachary Senyshyn
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Spencer Stastney, Xavier Bouchard, Brayden PachalSpencer StastneyXavier Bouchard, Brayden Pachal
Tirs de pénalité
Justin Bailey, Teemu Pulkkinen, Tanner Richard, Jakub Vrana, Borna Rendulic
Gardien
#1 : Connor Hellebyuk, #2 : Peyton Jones
Lignes d’attaque personnalisées en prolongation
Justin Bailey, Teemu Pulkkinen, Tanner Richard, Jakub Vrana, Borna Rendulic, Joel Eriksson Ek, Joel Eriksson Ek, Ryan Fitzgerald, Vladimir Tkachev, Richard Nejezchleb, Maxim Mamin
Lignes de défense personnalisées en prolongation
Jonas Brodin, Dillon Heatherington, Matt Grzelcyk, Tarmo Reunanen, Spencer Stastney


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 billets7040
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,923,500$ 1,893,500$ 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

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