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Crunch
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Keven St-Amand | Morale : 1 | Moyenne d’équipe : 64
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralKeven St-Amand
EntraîneurDenis Savard
DivisionPaul-Loicq
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 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
1Brandon Hagel (R)X100.007351806978686475717577637249436834700201500,000$
2Jeremy Bracco (R)X100.006231777064727675858370516247455254680211700,000$
3Tom KuhnhacklX100.006631747770737570666766707159533023680261500,000$
4Robert Thomas (R)X100.005635786860697271828573515645417954670191500,000$
5Axel Holmstrom (R)X100.006341757171636967727071636947474246670223600,000$
6Maxime Comtois (R)X100.007751717375628274506676625544417354670191500,000$
7Anatoli Golyshev (R)X100.006133707370687469778268555649504854670232700,000$
8Connor Bunnaman (R)X100.006432867367826460646858756142445851670202750,000$
9Liam O'Brien (R)X100.007658766880568859646559455850533722620241500,000$
10Brandon Biro (R)X100.006239756759635966686066526742425537610201500,000$
11Ty Dellandrea (R)X100.006444785962646568606762496740407845610182500,000$
12Joe Veleno (R)X100.006347736257685859646064516340407538600182500,000$
13Blake Lizotte (R)X100.005326727050615671615765566544445222600212500,000$
14Liam Foudy (R)X100.005731707054614670646559497640407644600182500,000$
15Cam Hillis (R)X100.005531735848615859727755354740407249560182500,000$
16Beck Malenstyn (R)X100.005630625563575956675376335042425122560201500,000$
17Dalton ThrowerX100.008146797376736368567065765559543443720251850,000$
18Jordan OesterleX100.0068548068757572796472687168695840327102611,250,000$
19Sean Walker (R)X100.006736777671755959316951765348513529680241500,000$
20Ryan Lindgren (R)X100.007034877366706255435853785146436238670202750,000$
21Gustav Lindstrom (R)X100.006334797355536281416956685043435955640201500,000$
22Adam Boqvist (R)X100.005227727457566981368249593640408058620182500,000$
23Michael Downing (R)X100.005239697258626870447251684445453923620231500,000$
24Scott Perunovich (R)X100.005436726851537073337152695044436754620202500,000$
25Blake Hillman (R)X100.006648715768686956355639585145474523600222500,000$
Rayé
MOYENNE D’ÉQUIPE100.00633975696465666859696259584645564064
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Louis Domingue100.00787172777176708170736966543323720261600,000$
2Kaapo Kahkonen100.00707070767373727170776658474750710221800,000$
Rayé
1Josef Korenar100.00715669706652616067596845435520620203600,000$
2Lukas Dostal (R)100.00497639565854526966514640407719560182500,000$
MOYENNE D’ÉQUIPE100.0067686370676464706865625246532865
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Denis Savard60529576606555Can641500,000$


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
Adam BoqvistCrunch (T.B)D182000-01-01Yes182 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Anatoli GolyshevCrunch (T.B)LW231995-01-01Yes187 Lbs5 ft8NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------No--------
Axel HolmstromCrunch (T.B)C221996-01-01Yes198 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm600,000$0$0$No800,000$800,000$-------NoNo-------
Beck MalenstynCrunch (T.B)LW201998-01-01Yes194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Blake HillmanCrunch (T.B)D221996-01-01Yes181 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------
Blake LizotteCrunch (T.B)C211997-01-01Yes172 Lbs5 ft7NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------
Brandon BiroCrunch (T.B)LW201998-01-01Yes170 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Brandon HagelCrunch (T.B)LW201998-01-01Yes174 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Cam HillisCrunch (T.B)C182000-01-01Yes189 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Connor BunnamanCrunch (T.B)C201998-01-01Yes214 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------
Dalton ThrowerCrunch (T.B)D251993-01-01No200 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm850,000$0$0$No------------------
Gustav LindstromCrunch (T.B)D201998-01-01Yes183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Jeremy BraccoCrunch (T.B)RW211997-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No------------------
Joe VelenoCrunch (T.B)C182000-01-01Yes206 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Jordan OesterleCrunch (T.B)D261992-01-01No183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$No------------------
Josef KorenarCrunch (T.B)G201998-01-01No185 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm600,000$0$0$No600,000$600,000$-------NoNo-------
Kaapo KahkonenCrunch (T.B)G221996-01-01No214 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------
Liam FoudyCrunch (T.B)RW182000-01-01Yes188 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Liam O'BrienCrunch (T.B)C241994-01-01Yes214 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Louis DomingueCrunch (T.B)G261992-01-01No210 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm600,000$0$0$No------------------
Lukas DostalCrunch (T.B)G182000-01-01Yes174 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Maxime ComtoisCrunch (T.B)LW191999-01-01Yes210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Michael DowningCrunch (T.B)D231995-01-01Yes185 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Robert ThomasCrunch (T.B)RW191999-01-01Yes218 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Ryan LindgrenCrunch (T.B)D201998-01-01Yes198 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------
Scott PerunovichCrunch (T.B)D201998-01-01Yes175 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Sean WalkerCrunch (T.B)D241994-01-01Yes194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Tom KuhnhacklCrunch (T.B)RW261992-01-01No196 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Ty DellandreaCrunch (T.B)RW182000-01-01Yes195 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2921.07192 Lbs6 ft11.55589,655$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon HagelAxel HolmstromTom Kuhnhackl40122
2Maxime ComtoisConnor BunnamanJeremy Bracco30122
3Anatoli GolyshevLiam O'BrienRobert Thomas20122
4Brandon BiroBlake LizotteTy Dellandrea10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dalton ThrowerJordan Oesterle40122
2Sean WalkerRyan Lindgren30122
3Gustav LindstromScott Perunovich20122
4Michael DowningAdam Boqvist10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brandon HagelAxel HolmstromTom Kuhnhackl60122
2Maxime ComtoisConnor BunnamanJeremy Bracco40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dalton ThrowerJordan Oesterle60122
2Sean WalkerRyan Lindgren40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brandon HagelTom Kuhnhackl60122
2Jeremy BraccoRobert Thomas40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dalton ThrowerJordan Oesterle60122
2Sean WalkerRyan Lindgren40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brandon Hagel60122Dalton ThrowerJordan Oesterle60122
2Tom Kuhnhackl40122Sean WalkerRyan Lindgren40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brandon HagelTom Kuhnhackl60122
2Jeremy BraccoRobert Thomas40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dalton ThrowerJordan Oesterle60122
2Sean WalkerRyan Lindgren40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon HagelAxel HolmstromTom KuhnhacklDalton ThrowerJordan Oesterle
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brandon HagelAxel HolmstromTom KuhnhacklDalton ThrowerJordan Oesterle
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joe Veleno, Liam Foudy, Cam HillisJoe Veleno, Liam FoudyCam Hillis
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Blake Hillman, Gustav Lindstrom, Scott PerunovichBlake HillmanGustav Lindstrom, Scott Perunovich
Tirs de pénalité
Brandon Hagel, Tom Kuhnhackl, Jeremy Bracco, Robert Thomas, Axel Holmstrom
Gardien
#1 : Louis Domingue, #2 : Kaapo Kahkonen
Lignes d’attaque personnalisées en prolongation
Brandon Hagel, Tom Kuhnhackl, Jeremy Bracco, Robert Thomas, Axel Holmstrom, Maxime Comtois, Maxime Comtois, Anatoli Golyshev, Connor Bunnaman, Liam O'Brien, Brandon Biro
Lignes de défense personnalisées en prolongation
Dalton Thrower, Jordan Oesterle, Sean Walker, Ryan Lindgren, Gustav Lindstrom


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$ 1,710,000$ 1,625,000$ 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$




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