Connexion

Crunch
GP: 7 | W: 3 | L: 4
GF: 16 | GA: 23 | PP%: 14.58% | PK%: 77.55%
DG: Mathieu Veillet | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Crunch
3-4-0, 6pts
4
FINAL
3 Monsters
16-8-0, 32pts
Team Stats
L1StreakW2
1-3-0Home Record7-4-0
2-1-0Away Record9-4-0
3-4-0Last 10 Games8-1-1
2.29Buts par match 2.46
3.29Buts contre par match 2.04
14.58%Pourcentage en avantage numérique14.47%
77.55%Pourcentage en désavantage numérique87.74%
Monsters
16-8-0, 32pts
5
FINAL
3 Crunch
3-4-0, 6pts
Team Stats
W2StreakL1
7-4-0Home Record1-3-0
9-4-0Away Record2-1-0
8-1-1Last 10 Games3-4-0
2.46Buts par match 2.29
2.04Buts contre par match 3.29
14.47%Pourcentage en avantage numérique14.58%
87.74%Pourcentage en désavantage numérique77.55%
Meneurs d'équipe
Buts
Jake Evans
4
Passes
Jamie Drysdale
5
Points
Jamie Drysdale
8
Plus/Moins
Mitchell Stephens
2
Victoires
Malcolm Subban
3
Pourcentage d’arrêts
Malcolm Subban
0.86

Statistiques d’équipe
Buts pour
16
2.29 GFG
Tirs pour
168
24.00 Avg
Pourcentage en avantage numérique
14.6%
7 GF
Début de zone offensive
40.2%
Buts contre
23
3.29 GAA
Tirs contre
159
22.71 Avg
Pourcentage en désavantage numérique
77.6%
11 GA
Début de la zone défensive
39.0%
Informations de l'équipe

Directeur généralMathieu Veillet
EntraîneurPhil Housley
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1Stefan Matteau
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure18
Limite contact 36 / 60
Espoirs16


Historique d'équipe

Saison actuelle3-4
Historique48-28-8 (0.571%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)3-4
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
1A.J. Greer0X100.00747667647666626250596164544646625000241700,000$
2Alex Newhook (R)0XX100.006868698068545169806273626944446450002031,491,667$
3Bokondji Imama0X100.00708044608063655350485359574444585000242706,667$
4Zachary Gallant (R)0X100.00677059627061654961474557434444565000223786,667$
5Cameron Darcy (R)0X100.00746888636862555164524661424444595000272925,000$
6Jake Evans0XX100.00804491626759845874626373255051635000252925,000$
7Mitchell Stephens0X100.00685669656959596583666067584849635000242919,166$
8Stefan Matteau (A)0X100.00836581647664616142545974255555615000271725,000$
9Oliver Wahlstrom0X100.007860838076637664446068612549496250002121,462,500$
10Arnaud Durandeau0X100.00726783676757525850526062574444595000223756,667$
11Peter Abbandonato0X100.00776996656962615873555864544444635000233975,000$
12Jamie Drysdale (R)0X100.006141918664787069255554712546465950001931,775,000$
13Cal Foote (R)0X100.008064807284697855254745632547475950002211,425,000$
14Ryan O'Rourke (R)0X100.00716975606963684725384058384444545000192925,000$
15Nathan Beaulieu0X100.008169788075705858254848802567686250002821,000,000$
16Nicolas Beaudin0X100.006953906663666856254746602545455550002121,135,833$
Rayé
1Eetu Luostarinen0XX100.00755688777367785976595771254949645000222925,000$
MOYENNE D’ÉQUIPE100.0073637869716465585154556540484860500
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
1Malcolm Subban100.0056545481595361606256955555625000271900,000$
Rayé
MOYENNE D’ÉQUIPE100.005654548159536160625695555562500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Phil Housley79808187837765USA5922,535,000$


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
1Jamie DrysdaleCrunch (TBL)D735801008623102013.04%716623.742461742000035100.00%000000.9600000011
2Stefan MatteauCrunch (TBL)LW7246-11401616272237.41%712117.311239350000171037.50%800000.9900000010
3Eetu LuostarinenCrunch (TBL)C/LW61560201315155106.67%112921.520446330001350059.18%4900000.9300000011
4Peter AbbandonatoCrunch (TBL)C7246-1753181811111.11%010515.02123534000000050.91%11000001.1400010001
5Jake EvansCrunch (TBL)C/RW7404-24012111761023.53%010515.07303838000001088.89%900010.7600000110
6A.J. GreerCrunch (TBL)LW712316039133117.69%28111.5900038000050030.00%1000000.7400000000
7Mitchell StephensCrunch (TBL)C721324029103720.00%0659.3200000000000061.90%6300000.9200000000
8Nicolas BeaudinCrunch (TBL)D7033-1204312220.00%813218.960001032000036000.00%000000.4500000100
9Cal FooteCrunch (TBL)D702201401056330.00%1013919.97011632000032000.00%000000.2900000000
10Ryan O'RourkeCrunch (TBL)D7022-32001455030.00%510314.800002500007000.00%000000.3900000000
11Bokondji ImamaCrunch (TBL)LW70112140708150.00%0679.70000120000000100.00%200000.2900000000
12Zachary GallantCrunch (TBL)C7101-21153460516.67%0608.66000010000140051.35%3700000.3300010000
13Cameron DarcyCrunch (TBL)C7011-100314230.00%1446.4200000000000033.33%300000.4500000000
Statistiques d’équipe totales ou en moyenne90163046-61081098102164381139.76%41132214.70713206726600011843054.98%29100010.7000020243
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
1Malcolm SubbanCrunch (TBL)73400.8603.2437101201430010.000077100
Statistiques d’équipe totales ou en moyenne73400.8603.2437101201430010.000077100


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial 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 10Link
A.J. GreerCrunch (TBL)LW241996-12-14No204 Lbs6 ft3NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien
Alex NewhookCrunch (TBL)C/LW202001-01-28Yes190 Lbs5 ft10NoNoNo3Pro & Farm1,491,667$1,491,667$0$0$No1,491,667$1,491,667$
Arnaud DurandeauCrunch (TBL)LW221999-01-14No183 Lbs6 ft0NoNoNo3Pro & Farm756,667$756,667$0$0$No756,667$756,667$Lien
Bokondji ImamaCrunch (TBL)LW241996-08-02No221 Lbs6 ft1NoNoNo2Pro & Farm706,667$706,667$0$0$No706,667$Lien
Cal FooteCrunch (TBL)D221998-12-12Yes227 Lbs6 ft4NoNoNo1Pro & Farm1,425,000$450,000$0$0$NoLien
Cameron DarcyCrunch (TBL)C271994-03-02Yes186 Lbs6 ft0NoNoNo2Pro & Farm925,000$450,000$0$0$No925,000$
Eetu LuostarinenCrunch (TBL)C/LW221998-09-02No190 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Jake EvansCrunch (TBL)C/RW251996-06-02No183 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Jamie DrysdaleCrunch (TBL)D192002-04-08Yes175 Lbs5 ft11NoNoNo3Pro & Farm1,775,000$1,775,000$0$0$No1,775,000$1,775,000$
Malcolm SubbanCrunch (TBL)G271993-12-21No215 Lbs6 ft2NoNoNo1Pro & Farm900,000$850,000$0$0$NoLien
Mitchell StephensCrunch (TBL)C241997-02-05No190 Lbs5 ft11NoNoNo2Pro & Farm919,166$919,166$0$0$No919,166$Lien
Nathan BeaulieuCrunch (TBL)D281992-12-05No200 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Lien
Nicolas BeaudinCrunch (TBL)D211999-10-07No174 Lbs5 ft11NoNoNo2Pro & Farm1,135,833$1,135,833$0$0$No1,135,833$Lien
Oliver WahlstromCrunch (TBL)RW212000-06-13No205 Lbs6 ft2NoNoNo2Pro & Farm1,462,500$1,462,500$0$0$No1,462,500$Lien
Peter AbbandonatoCrunch (TBL)C231998-03-25No194 Lbs5 ft11NoNoNo3Pro & Farm975,000$950,000$0$0$No950,000$950,000$Lien
Ryan O'RourkeCrunch (TBL)D192002-05-16Yes181 Lbs6 ft2NoNoNo2Pro & Farm925,000$450,000$0$0$No925,000$
Stefan MatteauCrunch (TBL)LW271994-02-23No208 Lbs6 ft2NoNoNo1Pro & Farm725,000$725,000$0$0$NoLien
Zachary GallantCrunch (TBL)C221999-03-06Yes188 Lbs6 ft2NoNoNo3Pro & Farm786,667$786,667$0$0$No786,667$786,667$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1823.17195 Lbs6 ft12.061,025,509$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake Evans35122
2Stefan MatteauPeter Abbandonato30122
3A.J. GreerMitchell StephensBokondji Imama25122
4Zachary GallantCameron Darcy10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie Drysdale35122
2Nicolas BeaudinCal Foote30122
3Ryan O'Rourke25122
4Cal Foote10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jake Evans60122
2Stefan MatteauPeter Abbandonato40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie Drysdale60122
2Cal FooteNicolas Beaudin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Stefan Matteau40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie Drysdale60122
2Cal FooteNicolas Beaudin40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jamie Drysdale60122
240122Cal FooteNicolas Beaudin40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Stefan Matteau40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie Drysdale60122
2Cal FooteNicolas Beaudin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jamie Drysdale
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jamie Drysdale
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Peter Abbandonato, A.J. Greer, Zachary GallantPeter Abbandonato, A.J. GreerZachary Gallant
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan O'Rourke, Cal Foote, Nicolas BeaudinRyan O'RourkeCal Foote, Nicolas Beaudin
Tirs de pénalité
, , , Stefan Matteau, Mitchell Stephens
Gardien
#1 : , #2 : Malcolm Subban


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
1Monsters734000001623-7413000001116-53210000057-260.42916304611556016856575501595211810348714.58%491177.55%010620451.96%8019840.40%4410641.51%167117170518139
Total734000001623-7413000001116-53210000057-260.42916304611556016856575501595211810348714.58%491177.55%010620451.96%8019840.40%4410641.51%167117170518139
_Since Last GM Reset734000001623-7413000001116-53210000057-260.42916304611556016856575501595211810348714.58%491177.55%010620451.96%8019840.40%4410641.51%167117170518139
_Vs Conference734000001623-7413000001116-53210000057-260.42916304611556016856575501595211810348714.58%491177.55%010620451.96%8019840.40%4410641.51%167117170518139

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L11630461681595211810311
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400001623
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41300001116
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
321000057
Derniers 10 matchs
WLOTWOTL SOWSOL
340000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
48714.58%491177.55%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
56575505560
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
10620451.96%8019840.40%4410641.51%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
167117170518139


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
1 - 2022-03-164Monsters6Crunch2BLSommaire du match
2 - 2022-03-1712Monsters4Crunch3BLSommaire du match
3 - 2022-03-1820Crunch0Monsters4ALSommaire du match
4 - 2022-03-1928Crunch1Monsters0AWSommaire du match
5 - 2022-03-2036Monsters1Crunch3BWSommaire du match
6 - 2022-03-2144Crunch4Monsters3AWSommaire du match
7 - 2022-03-2252Monsters5Crunch3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-4 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,845,918$ 1,645,918$ 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 (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
1Stefan Matteau762830582510413711317416.09%22122916.1869153700035142.00%00.9425
2Alex Newhook68212849-10607112017312.14%11121317.85713206500055160.19%00.8138
3Nicolas Beaudin82123547105674585521.82%64159819.49101121410000400.00%00.5900
4Mitchell Stephens8219284714575515413713.87%9113713.871781200013058.36%00.8313
5Eetu Luostarinen76192544-14568015516911.24%16153320.18614205600052359.57%00.5728

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
1Jack Campbell44291040.9082.01259904879490000.68832
2Malcolm Subban41191720.8762.652310411028220110.5717

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
20218240280315522319825412680213113090404114200102493108-1510222338660915767366161906635596660551798503126315484616714.53%5226787.16%01398247656.46%1237239651.63%581112551.64%198113742003615994488
Total Saison régulière8240280315522319825412680213113090404114200102493108-1510222338660915767366161906635596660551798503126315484616714.53%5226787.16%01398247656.46%1237239651.63%581112551.64%198113742003615994488
2021734000001623-7413000001116-53210000057-2616304611556016856575501595211810348714.58%491177.55%010620451.96%8019840.40%4410641.51%167117170518139
Total Séries éliminatoires734000001623-7413000001116-53210000057-2616304611556016856575501595211810348714.58%491177.55%010620451.96%8019840.40%4410641.51%167117170518139

Crunch Leaders statistiques (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
1Jamie Drysdale7358010862313.04%716623.74246170000100.00%00.9600
2Peter Abbandonato7246-173181811.11%010515.02123500000050.91%01.1400
3Eetu Luostarinen6156021315156.67%112921.52044600010059.18%00.9300
4Stefan Matteau7246-1141616277.41%712117.31123900001037.50%00.9900
5Jake Evans7404-2412111723.53%010515.07303800001088.89%10.7600

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
1Malcolm Subban73400.8603.2437101201430010.0000