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Wolf Pack
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Stephane Tremblay | Morale : 1 | Moyenne d’équipe : 68
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralStephane Tremblay
EntraîneurDan Lambert
DivisionDivision Nord-Est
ConférenceConference Est
CapitaineZac Dalpe
Assistant #1Nick Lappin
Assistant #2Luke Witkowski


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure17
Limite contact 36 / 80
Espoirs17


Historique d'équipe

Saison actuelle0-0
Historique153-151-31 (0.457%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)2-4
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
1Daniel WalcottX100.00634365698277847869697069666971050690303800,000$
2Cole BardreauXX100.00784381746879817386717271707072050690301525,000$
3Shane Bowers (R)XX100.00693890708884707863717168736666050690241725,000$
4Dave GustX100.00563788727975807872707068666971050690301525,000$
5Zac Dalpe (C)XXX100.00703991678087846284707073757478050690341600,000$
6Luke Witkowski (A)X100.00865670708364676854706772647977050680342550,000$
7Nick Lappin (A)XX100.00633593688279716964696773667769050680311700,000$
8Ty Ronning (R)X100.00633689798372776373697068666668050680261725,000$
9Emile PoirierXX100.00715670739082876163696965647367050670293825,000$
10Jeremy Bracco (R)XX100.00563593737976826286696569716764050670271825,000$
11German Rubstov (R)X100.00653585757567806265686769505050050660253625,000$
12Tyler WotherspoonX100.00734680718278835830676271567272050690313600,000$
13Matt DonovanX100.00693770617888936530656573567971050690332780,000$
14Seth HelgesonX100.00746856649979846035655671557378050690333875,000$
15Michael KaplaX100.00654285608480825530625569577367050660292600,000$
16Kyle WoodX100.00905048549581765535606066566965050660273750,000$
Rayé
MOYENNE D’ÉQUIPE100.0069447869837880655968667063706905068
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
1Mads Sogaard (R)100.00756565806566767565706563690506902341,000,000$
2Landon Bow100.0070846065656974646869697175050680284800,000$
Rayé
1Dillon Kelley100.0061656683505961505951606876050610291525,000$
MOYENNE D’ÉQUIPE100.006971647660657063646365677305066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Lambert73706862797470CAN541800,000$


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 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
Cole BardreauWolf Pack (NYR)C/RW301993-07-22 01:57:51No185 Lbs5 ft10NoNoN/ANoNo1Pro & Farm525,000$18,750$0$0$No------------------Lien / Lien NHL
Daniel WalcottWolf Pack (NYR)LW301994-02-19 00:34:07No174 Lbs5 ft11NoNoN/ANoNo3Pro & Farm800,000$28,571$0$0$No800,000$800,000$-------NoNo-------Lien / Lien NHL
Dave GustWolf Pack (NYR)RW301994-02-21 04:13:22No178 Lbs5 ft10NoNoN/ANoNo1Pro & Farm525,000$18,750$0$0$No------------------Lien / Lien NHL
Dillon KelleyWolf Pack (NYR)G291994-09-02 03:36:23No225 Lbs6 ft5NoNoN/ANoNo1Pro & Farm525,000$18,750$0$0$No------------------Lien
Emile PoirierWolf Pack (NYR)LW/RW291994-12-14 05:06:13No200 Lbs6 ft2NoNoN/ANoNo3Pro & Farm825,000$29,464$0$0$No825,000$825,000$-------NoNo-------Lien / Lien NHL
German RubstovWolf Pack (NYR)C251998-06-27 01:44:55Yes178 Lbs6 ft2NoNoN/ANoNo3Pro & Farm625,000$22,321$0$0$No625,000$625,000$-------NoNo-------Lien
Jeremy BraccoWolf Pack (NYR)LW/RW271997-03-17 05:56:16Yes180 Lbs5 ft8NoNoN/ANoNo1Pro & Farm825,000$29,464$0$0$No------------------Lien
Kyle WoodWolf Pack (NYR)D271996-05-04 12:27:39No236 Lbs6 ft7NoNoN/ANoNo3Pro & Farm750,000$26,786$0$0$No750,000$750,000$-------NoNo-------Lien
Landon BowWolf Pack (NYR)G281995-08-24 01:42:52No209 Lbs6 ft5NoNoN/ANoNo4Pro & Farm800,000$28,571$0$0$No800,000$800,000$800,000$------NoNoNo------Lien / Lien NHL
Luke WitkowskiWolf Pack (NYR)RW341990-04-14 19:10:47No201 Lbs6 ft2NoNoN/ANoNo2Pro & Farm550,000$19,643$0$0$No550,000$--------No--------Lien / Lien NHL
Mads SogaardWolf Pack (NYR)G232000-12-13 03:17:18Yes200 Lbs6 ft7NoNoN/ANoNo4Pro & Farm1,000,000$35,714$0$0$No1,000,000$1,000,000$1,000,000$------NoNoNo------Lien / Lien NHL
Matt DonovanWolf Pack (NYR)D331990-05-09 04:50:57No205 Lbs6 ft0NoNoN/ANoNo2Pro & Farm780,000$27,857$0$0$No780,000$--------No--------Lien / Lien NHL
Michael KaplaWolf Pack (NYR)D291994-09-19 19:12:27No201 Lbs6 ft0NoNoN/ANoNo2Pro & Farm600,000$21,429$0$0$No600,000$--------No--------Lien
Nick LappinWolf Pack (NYR)C/RW311992-11-01 10:20:03No174 Lbs6 ft1NoNoN/ANoNo1Pro & Farm700,000$25,000$0$0$No------------------Lien / Lien NHL
Seth HelgesonWolf Pack (NYR)D331990-10-08 12:15:55No220 Lbs6 ft5NoNoN/ANoNo3Pro & Farm875,000$31,250$0$0$No875,000$875,000$-------NoNo-------Lien / Lien NHL
Shane BowersWolf Pack (NYR)C/RW241999-07-30 05:58:35Yes186 Lbs6 ft2NoNoN/ANoNo1Pro & Farm725,000$25,893$0$0$No------------------Lien / Lien NHL
Ty RonningWolf Pack (NYR)RW261997-10-20 06:00:38Yes170 Lbs5 ft9NoNoN/ANoNo1Pro & Farm725,000$25,893$0$0$No------------------Lien / Lien NHL
Tyler WotherspoonWolf Pack (NYR)D311993-03-12 14:55:05No207 Lbs6 ft2NoNoN/ANoNo3Pro & Farm600,000$21,429$0$0$No600,000$600,000$-------NoNo-------Lien / Lien NHL
Zac Dalpe Wolf Pack (NYR)C/LW/RW341989-11-01 04:50:13No195 Lbs6 ft1NoNoN/ANoNo1Pro & Farm600,000$21,429$0$0$No------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1929.11196 Lbs6 ft22.11702,895$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dave Gust40122
2Emile PoirierLuke Witkowski30122
3Jeremy BraccoCole Bardreau20122
4Dave GustNick LappinShane Bowers10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth HelgesonTyler Wotherspoon40122
2Matt DonovanDaniel Walcott30122
3Michael KaplaKyle Wood20122
4Seth HelgesonTyler Wotherspoon10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dave Gust60122
2Emile PoirierLuke Witkowski40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth HelgesonTyler Wotherspoon60122
2Matt DonovanDaniel Walcott40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dave Gust60122
2Luke Witkowski40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth HelgesonTyler Wotherspoon60122
2Matt DonovanDaniel Walcott40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dave Gust60122Seth HelgesonTyler Wotherspoon60122
240122Matt DonovanDaniel Walcott40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dave Gust60122
2Luke Witkowski40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seth HelgesonTyler Wotherspoon60122
2Matt DonovanDaniel Walcott40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dave GustSeth HelgesonTyler Wotherspoon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dave GustSeth HelgesonTyler Wotherspoon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ty Ronning, , Cole BardreauTy Ronning, Cole Bardreau
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Kapla, Kyle Wood, Matt DonovanMichael KaplaKyle Wood, Matt Donovan
Tirs de pénalité
Dave Gust, , Luke Witkowski, ,
Gardien
#1 : Mads Sogaard, #2 : Landon Bow


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 joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,335,500$ 1,275,500$ 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$ 1 0$ 0$




Wolf Pack 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
1Zac Dalpe 287101147248710034678989211.32%71636122.161948671672131311552.92%10.78314
2Cole Bardreau23489981872016348146275011.87%48391016.7112122493000215453.10%00.9614
3Nick Lappin322848016413217333866212.69%45391212.15291125000613242.45%10.8422
4Jeremy Bracco244718815921165832560311.77%38394416.171015257500069453.45%00.8114
5Chris Mueller1645294146-62914035038713.44%32312919.08917266001156252.07%00.9314

Wolf Pack 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
1Mads Sogaard129644790.8913.66719618143940240020.66712
2Troy Grosenick117474940.8863.7060912137632930020.64025
3Steve Michalek106384670.8883.69545819233630040210.65020
4Landon Bow234940.8864.08101500696050110.5008
5Dillon Kelley20000.8795.33450043300100

Wolf Pack 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
2082303807331300306-6411917030201551441141112104311145162-178430054284211117908314262684984489746262176960418932706022.22%2586076.74%21409275251.20%1419270852.40%781138656.35%1932131319436161083541
2182284203324278316-3841142102103128152-2441142101221150164-147327850578312103997110258681887287148276381768818902806121.79%2867374.48%11515280354.05%1515295951.20%758140753.87%1917130519826131065528
22824131053203042851941181901210152157-541231204110152128249930453183521113104808276394590289235265177966918512644918.56%2786676.26%21422292148.68%1383277449.86%713136752.16%1949133619296071069537
2382274005406300335-3541161603204148158-1041112402202152177-25743005368363012588826274789390791949293181071119832384217.65%3127376.60%51417283150.05%1527297451.34%744145451.17%1900129619966151064517
Total Saison régulière3281261510201371111821242-60164677309537583611-281645978011844599631-3233011822114329674458381316381072235053525357917810966317526727617105221220.15%113427276.01%1057631130750.97%58441141551.20%2996561453.37%769952527852245242822124
Séries éliminatoires
22624000001823-5321000001312130300000511-641832500076411815566528216564315316425.00%18666.67%09920648.06%10721948.86%519454.26%14498148457938
Total Séries éliminatoires624000001823-5321000001312130300000511-641832500076411815566528216564315316425.00%18666.67%09920648.06%10721948.86%519454.26%14498148457938

Wolf Pack 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
1Ben Holmstrom6167-10519128.33%112320.51022200000048.28%01.1400
2Emile Poirier6336091251618.75%011519.19202400000042.86%01.0400
3Cole Bardreau6325-121031915.79%111519.22011100001062.50%00.8700
4Henri Ikonen62242237450.00%0254.18000000000051.72%03.1900
5Dave Gust631410292611.54%112220.40112600001036.00%00.6500

Wolf Pack 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
1Troy Grosenick42200.9073.60200001212900000
2Mads Sogaard30110.8743.8417200118700000