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Crunch
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Alex Whiddon | Morale : 1 | Moyenne d’équipe : 56

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralAlex Whiddon
EntraîneurBenoit Allaire
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison1,500


Informations de la formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 100
Espoirs60


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
1Ethan Cardwell (R)X100.0071668274688085615064575854474761536202331,461,000$
2Chase WheatcroftX100.007570876872768259705759615147465772610241900,000$
3Chase Bradley (R)X100.0070668171687581575049615856474658555902431,345,000$
4Sandis Vilmanis (R)X100.0078719467737176554956516148474656515902231,288,000$
5Eduard Sale (R)X100.0073659267676568555056515848474655405702131,290,000$
6Tanner Dickinson (R)X100.0073659466676772516447525748474653475602431,135,000$
7Tristan AllardX100.007373786675494853694855605346465629550241900,000$
8Stefan MatteauX100.007878856278444255705651624847475544550321900,000$
9Ryan SandelinXXX100.007568916468505050654651605046465523540271900,000$
10Ethan Gauthier (R)X100.0076679982695153425037425842474649405302131,266,000$
11Blake Biondi (R)X100.0079729981733533435537436142454551415102431,335,000$
12Filip RoosX100.0078778664777683512546396137474751406002721,268,000$
13Wyatt AamodtX100.007573796773788649254241593847465058600281900,000$
14Charles-Alexis Legault (R)X100.0077777665797178472538415939474650485902231,287,000$
15Konnor Smith (R)X100.0086839981844547412527396337464649295802131,286,000$
16Tobie BissonX100.008077916377515246253740613947474950560291900,000$
17Dan RenoufX100.006774566374626646253838553747464729540321900,000$
18Isaac Belliveau (R)X100.0072708264724139492542415739474649455302331,255,000$
19Lukas Fischer (R)X100.0063714982734951402526384937474643455301931,260,000$
Rayé
1Noel Nordh (R)X100.0080739981743331435037436242454551205102131,266,000$
2Brayden TraceyX100.0074698580693432445038445942444450205002521,146,000$
MOYENNE D’ÉQUIPE100.00757285707357604945444759444746524256
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
1Matt Villalta (R)100.00545366785661515958563047465286570272800,000$
2Sergei Murashov (R)100.005640507461585459616030444456605602231,170,000$
Rayé
MOYENNE D’ÉQUIPE100.0055475876596053596058304645547357
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Allaire40404040404040TUR8111,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Blake BiondiCrunch (TAM)C242002-04-24USAYes198 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,335,000$381,429$0$0$No1,335,000$1,335,000$-------1,335,000$1,335,000$-------NoNo-------Lien
Brayden TraceyCrunch (TAM)LW252001-05-28ABNo186 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,146,000$327,429$0$0$No1,146,000$--------1,146,000$--------No--------Lien
Charles-Alexis LegaultCrunch (TAM)D222003-09-05CANYes208 Lbs6 ft3NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,287,000$367,714$0$0$No1,287,000$1,287,000$-------1,287,000$1,287,000$-------NoNo-------Lien
Chase BradleyCrunch (TAM)LW242002-01-09USAYes180 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,345,000$384,286$0$0$No1,345,000$1,345,000$-------1,345,000$1,345,000$-------NoNo-------Lien
Chase WheatcroftCrunch (TAM)C242002-05-28CANNo185 Lbs6 ft2NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$257,143$0$0$No---------------------------Lien
Dan RenoufCrunch (TAM)D321994-06-01CANNo198 Lbs6 ft3NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$257,143$0$0$No---------------------------Lien
Eduard SaleCrunch (TAM)LW212005-03-10CZEYes170 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,290,000$368,571$0$0$No1,290,000$1,290,000$-------1,290,000$1,290,000$-------NoNo-------Lien
Ethan CardwellCrunch (TAM)RW232002-08-30CANYes180 Lbs5 ft11NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,461,000$417,429$0$0$No1,461,000$1,461,000$-------1,461,000$1,461,000$-------NoNo-------Lien
Ethan GauthierCrunch (TAM)RW212005-01-26USAYes182 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,266,000$361,714$0$0$No1,266,000$1,266,000$-------1,266,000$1,266,000$-------NoNo-------Lien
Filip RoosCrunch (TAM)D271999-01-05SWENo200 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,268,000$362,286$0$0$No1,268,000$--------1,268,000$--------No--------Lien
Isaac BelliveauCrunch (TAM)D232002-11-26QCYes185 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,255,000$358,571$0$0$No1,255,000$1,255,000$-------1,255,000$1,255,000$-------NoNo-------Lien
Konnor SmithCrunch (TAM)D212004-11-06CANYes215 Lbs6 ft6NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,286,000$367,429$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Lien
Lukas FischerCrunch (TAM)D192006-09-09USAYes185 Lbs6 ft3NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,260,000$360,000$0$0$No1,260,000$1,260,000$-------1,260,000$1,260,000$-------NoNo-------Lien
Matt VillaltaCrunch (TAM)G271999-06-03CANYes190 Lbs6 ft3NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm800,000$228,571$0$0$No800,000$--------800,000$--------No--------Lien
Noel NordhCrunch (TAM)LW212005-01-25SWEYes196 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,266,000$361,714$0$0$No1,266,000$1,266,000$-------1,266,000$1,266,000$-------NoNo-------Lien
Ryan SandelinCrunch (TAM)C/LW/RW271999-01-03USANo185 Lbs6 ft0NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$257,143$0$0$No---------------------------Lien
Sandis VilmanisCrunch (TAM)LW222004-01-23LATYes192 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,288,000$368,000$0$0$No1,288,000$1,288,000$-------1,288,000$1,288,000$-------NoNo-------Lien
Sergei MurashovCrunch (TAM)G222004-04-01RUSYes187 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,170,000$334,286$0$0$No1,170,000$1,170,000$-------1,170,000$1,170,000$-------NoNo-------Lien
Stefan MatteauCrunch (TAM)C321994-02-23USANo211 Lbs6 ft2NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$257,143$0$0$No---------------------------Lien
Tanner DickinsonCrunch (TAM)C242002-03-05USAYes176 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,135,000$324,286$0$0$No1,135,000$1,135,000$-------1,135,000$1,135,000$-------NoNo-------Lien
Tobie BissonCrunch (TAM)D291997-02-01QUENo207 Lbs6 ft3NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$257,143$0$0$No---------------------------Lien
Tristan AllardCrunch (TAM)C242002-06-23ONTNo196 Lbs6 ft2NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$257,143$0$0$No---------------------------Lien
Wyatt AamodtCrunch (TAM)D281997-11-22USANo201 Lbs6 ft0NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$257,143$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.43192 Lbs6 ft22.261,137,304$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chase WheatcroftEduard SaleChase Bradley40122
2Ethan CardwellSandis VilmanisTanner Dickinson30122
3Ethan CardwellTanner DickinsonChase Wheatcroft20122
4Ethan CardwellChase WheatcroftChase Bradley10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt AamodtFilip Roos40122
2Charles-Alexis LegaultTobie Bisson30122
3Wyatt AamodtLukas Fischer20122
4Isaac BelliveauWyatt Aamodt10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Chase WheatcroftEthan CardwellChase Bradley60122
2Eduard SaleSandis VilmanisTanner Dickinson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt AamodtCharles-Alexis Legault60122
2Tobie BissonIsaac Belliveau40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chase BradleyChase Wheatcroft60122
2Sandis VilmanisTanner Dickinson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt AamodtCharles-Alexis Legault60122
2Isaac BelliveauTobie Bisson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Chase Bradley60122Wyatt AamodtCharles-Alexis Legault60122
2Chase Wheatcroft40122Tobie BissonLukas Fischer40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ethan CardwellChase Bradley60122
2Chase WheatcroftSandis Vilmanis40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Charles-Alexis LegaultTobie Bisson60122
2Wyatt AamodtIsaac Belliveau40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chase BradleyEthan CardwellChase WheatcroftWyatt AamodtCharles-Alexis Legault
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chase BradleyEthan CardwellChase WheatcroftWyatt AamodtCharles-Alexis Legault
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Chase Bradley, Chase Wheatcroft, Tanner DickinsonChase Wheatcroft, Chase BradleyChase Wheatcroft
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Charles-Alexis Legault, Wyatt Aamodt, Tobie BissonWyatt AamodtIsaac Belliveau, Wyatt Aamodt
Tirs de pénalité
Tanner Dickinson, Chase Bradley, Ethan Cardwell, Chase Wheatcroft, Sandis Vilmanis
Gardien
#1 : Matt Villalta, #2 : Sergei Murashov


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 billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
43 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,615,800$ 2,615,800$ 1,000,000$0$
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$ 12 0$ 0$




Crunch 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

Crunch 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

Crunch 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

Crunch 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

Crunch 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