Essayer le nouveau site
Connexion

Crunch
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Guillaume Cazes | Morale : 50 | Moyenne d’équipe : 63
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralGuillaume Cazes
EntraîneurMichel Therrien
DivisionDivision Sud-Est
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure16
Limite contact 40 / 56
Espoirs21


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique44-31-8 (0.530%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)7 - 6 (0.538%)
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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Mackenzie EntwistleXX100.007245897472758574596969766068506450660251900,000$
2Stefan NoesenXX100.0060419169747281716966726966735842506503200$
3Kyle MacleanX100.0073499072707277716170726864484659506502500$
4Johan SundstromX100.0056459569737275706470686965665446506403211,100,000$
5JC LiponXX100.0075707971707672706269716969524849506403111,200,000$
6Antoine MorandX100.006044957268747468737067705951475650630261750,000$
7James SheppardXX100.0071548767716970656763636861746226506303611,000,000$
8Tomas HykaXX100.0055439673696867686460657160524646506103211,000,000$
9Graham BlackX100.0056398971716257656959576961585439506003200$
10Corey TrivinoX100.0058439872716672666662636661494634506003511,000,000$
11Adam MascherinXX100.0063468272696771626462635959524656506002600$
12Dominik UherXX100.0063457768736366607063606360585240505903200$
13Trevor CarrickX100.0079646673717778744574747060635447506603000$
14Klas DahlbeckX100.0060439568747380694568676963695143506503300$
15Kasper KotkansaloX100.006744877271737467456768725653485650640261750,000$
16Tommy MillerX100.006745867269717268456866745652485950640261750,000$
17Jett WooX100.007464667371717268456764706048466650630242750,000$
18Thomas SchemitschX100.006245917073697262456662675455465350620282900,000$
Rayé
1Par LindholmXX100.0059469571687879716970707369675343506503300$
2Jonathan MatsumotoX100.0058459166676663646462626661504521505903811,000,000$
3Nick WolffX100.007861687275676463456562645546455350610282800,000$
4Luke GreenX100.0066478970686666564561606657464554505902700$
5Jeremy RoyX100.006347867068695857456659635746455450590272700,000$
MOYENNE D’ÉQUIPE100.00654886717170726658666568615649485062
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
1Dustin Tokarski100.007781817678798582838582656534506703511,500,000$
Rayé
MOYENNE D’ÉQUIPE100.0077818176787985828385826565345067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Michel Therrien75848799999936CAN633100,000$


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 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 MascherinCrunch (TB )LW/RW261998-06-06CANNo205 Lbs5 ft10NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Antoine MorandCrunch (TB )C261999-02-18CANNo184 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Corey TrivinoCrunch (TB )C351990-01-12CANNo193 Lbs6 ft1NoNoFree AgentNoNo12024-02-06FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Dominik UherCrunch (TB )LW/RW321992-12-31CHENo202 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Dustin TokarskiCrunch (TB )G351989-09-16CANNo198 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Graham BlackCrunch (TB )C321993-01-13CANNo185 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
JC LiponCrunch (TB )LW/RW311993-07-10CANNo189 Lbs6 ft0NoNoTrade2024-07-27NoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
James SheppardCrunch (TB )LW/RW361988-04-25CANNo215 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Jeremy RoyCrunch (TB )D271997-05-14CANNo187 Lbs6 ft0NoNoN/ANoNo22024-04-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Jett WooCrunch (TB )D242000-07-27CANNo205 Lbs6 ft0NoNoProspectNoNo22024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Johan SundstromCrunch (TB )C321992-09-21SWENo201 Lbs6 ft2NoNoFree AgentNoNo12024-07-22FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Jonathan MatsumotoCrunch (TB )C381986-10-13CANNo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Kasper KotkansaloCrunch (TB )D261998-11-16FINNo205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Klas DahlbeckCrunch (TB )D331991-07-06SWENo207 Lbs6 ft3NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Kyle MacleanCrunch (TB )LW251999-04-29USANo190 Lbs6 ft1NoNoTrade2024-06-27NoNo02024-06-27FalseFalsePro & Farm0$0$No---------------------------Lien
Luke GreenCrunch (TB )D271998-01-12CANNo187 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Mackenzie EntwistleCrunch (TB )LW/RW251999-07-14CANNo184 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Nick WolffCrunch (TB )D281996-07-21USANo229 Lbs6 ft6NoNoN/ANoNo22024-04-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Par LindholmCrunch (TB )LW/RW331991-10-05SWENo182 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Stefan NoesenCrunch (TB )LW/RW321993-02-12USANo205 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Thomas SchemitschCrunch (TB )D281996-10-26CANNo201 Lbs6 ft5NoNoN/ANoNo22024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Tomas HykaCrunch (TB )LW/RW321993-03-23CZENo185 Lbs5 ft10NoNoFree AgentNoNo12024-01-31FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Tommy MillerCrunch (TB )D261999-03-06USANo181 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Trevor CarrickCrunch (TB )D301994-07-04CANNo196 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2429.96196 Lbs6 ft10.79587,500$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Stefan NoesenJC LiponJohan Sundstrom25122
2Antoine MorandJames SheppardCorey Trivino25122
3Adam MascherinTomas HykaKyle Maclean25122
4Kyle MacleanJohan SundstromJC Lipon25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Trevor CarrickKlas Dahlbeck34122
2Kasper KotkansaloTommy Miller34122
3Jett WooThomas Schemitsch32122
4Kasper KotkansaloTrevor Carrick0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Stefan NoesenJC LiponKyle Maclean50122
2Johan SundstromAntoine MorandAdam Mascherin50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas SchemitschTrevor Carrick50122
2Kasper KotkansaloTommy Miller50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Johan SundstromKyle Maclean50122
2JC LiponAdam Mascherin50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas SchemitschTrevor Carrick50122
2Kasper KotkansaloTommy Miller50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Johan Sundstrom50122Thomas SchemitschTrevor Carrick50122
2Adam Mascherin50122Kasper KotkansaloTommy Miller50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Johan SundstromKyle Maclean50122
2Adam MascherinJC Lipon50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas SchemitschTrevor Carrick50122
2Kasper KotkansaloTommy Miller50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Stefan NoesenJohan SundstromKyle MacleanKasper KotkansaloTrevor Carrick
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Stefan NoesenJohan SundstromKyle MacleanKasper KotkansaloTrevor Carrick
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Johan Sundstrom, Adam Mascherin, Kyle MacleanJohan Sundstrom, Adam MascherinAdam Mascherin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tommy Miller, Thomas Schemitsch, Kasper KotkansaloKasper KotkansaloThomas Schemitsch, Kasper Kotkansalo
Tirs de pénalité
Johan Sundstrom, Kyle Maclean, Adam Mascherin, JC Lipon, Antoine Morand
Gardien
#1 : Dustin Tokarski, #2 :


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
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,410,000$ 1,410,000$ 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$ 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
1Alexander Khokhlachev8127437011299612720313.30%16143717.75515202411274150.29%00.9713
2Par Lindholm82263561125326324110.79%10144017.56511165211264554.96%00.8514
3Tomas Jurco82183553168689216311.04%20153418.7189173100022054.31%00.6914
4Stefan Noesen822429531416695421611.11%9136016.5949134700005248.89%10.7828
5Trevor Carrick73104151398134651079.35%88165322.6531114391013400%00.6200

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
1Dustin Tokarski58302050.8973.0531712216115660300.60923
2Andrey Makarov31131010.9092.59155102677390001.00010
3Linden Rowat51110.8703.8023700151150000.3333

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
Saison régulière
158238310323527424826412015022111341221241181601024140126149527449376704102818510247982879782266242067954914152546023.62%2253982.67%31428288349.53%1366269650.67%691133551.76%1979135419196051072539
Total Saison régulière8238310323527424826412015022111341221241181601024140126149527449376704102818510247982879782266242067954914152546023.62%2253982.67%31428288349.53%1366269650.67%691133551.76%1979135419196051072539
Séries éliminatoires
1513760000044413624000001920-17520000025214144481125001513151363113116126841711510022238923.68%411368.29%121342450.24%22747947.39%11923251.29%3062113109617286
Total Séries éliminatoires13760000044413624000001920-17520000025214144481125001513151363113116126841711510022238923.68%411368.29%121342450.24%22747947.39%11923251.29%3062113109617286

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
1Par Lindholm1084123211164318.60%120220.25112500012251.67%01.1900
2James Sheppard1374116919113023.33%323117.84011200000042.31%00.9500
3Trevor Carrick1347111182161822.22%2230423.4412370000000%00.7200
4Mikkel Boedker1137108268387.89%120718.84112200001029.55%00.9700
5Simon Benoit13010101121711260%1831324.11033110001000%00.6400

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
1Andrey Makarov74300.9172.68426001922800000
2Dustin Tokarski63210.8843.65362002218900000