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Connexion

Wolf Pack
GP: 40 | W: 22 | L: 14 | OTL: 4 | P: 48
GF: 115 | GA: 97 | PP%: 43.41% | PK%: 75.58%
DG: Pascal Larochelle-côté | Morale : 78 | Moyenne d’équipe : 65

Centre de jeu
Wolf Pack
22-14-4, 48pts
2
3 Phantoms
16-18-6, 38pts
Team Stats
W1SéquenceL1
12-6-2Fiche domicile8-10-2
10-8-2Fiche domicile8-8-4
5-5-0Derniers 10 matchs4-5-1
2.88Buts par match 1.93
2.43Buts contre par match 2.23
43.41%Pourcentage en avantage numérique24.61%
75.58%Pourcentage en désavantage numérique68.32%
Stars
14-19-7, 35pts
2
3 Wolf Pack
22-14-4, 48pts
Team Stats
L1SéquenceW1
7-8-5Fiche domicile12-6-2
7-11-2Fiche domicile10-8-2
3-5-2Derniers 10 matchs5-5-0
1.60Buts par match 2.88
2.20Buts contre par match 2.43
25.75%Pourcentage en avantage numérique43.41%
75.00%Pourcentage en désavantage numérique75.58%
Meneurs d'équipe
Jakob PelletierButs
Jakob Pelletier
21
Jakob PelletierPasses
Jakob Pelletier
33
Jakob PelletierPoints
Jakob Pelletier
54
Plus/Moins
Donovan Sebrango
-2
Victoires
Olivier Rodrigue
22
Pourcentage d’arrêts
Olivier Rodrigue
0.892

Statistiques d’équipe
Buts pour
115
2.88 GFG
Tirs pour
1018
25.45 Avg
Pourcentage en avantage numérique
43.4%
79 GF
Début de zone offensive
38.0%
Buts contre
97
2.43 GAA
Tirs contre
899
22.48 Avg
Pourcentage en désavantage numérique
75.6%%
42 GA
Début de la zone défensive
30.9%
Informations de l'équipe

Directeur généralPascal Larochelle-côté
EntraîneurDaniel Alfredsson
DivisionAtlantique
ConférenceConference Est
CapitaineYegor Sharangovich
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance0
Billets de saison1,600


Informations de la formation

Équipe Pro11
Équipe Mineure20
Limite contact 31 / 250
Espoirs93


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
1Liam Foudy0XXX100.007569897269818762785760675756576664710241775,000$
2Joel Farabee0X100.0077568776696898693763666741697069617102435,000,000$
3Sam Morton (R)0X100.007568916868828762785960645744446476710251870,000$
4Jakob Pelletier0X100.007542937661598660386966682555556976690231800,000$
5Patrick Maroon0X100.0080996267885985674366586425819064746703611,300,000$
6Michael Milne (R)0X100.007167797267737857504861615844446276650223861,667$
7Matt Martin0XX100.009189907082525459515655612585906166640351775,000$
8Jason Polin (R)0X100.007771906771585957504961645844446180630251775,000$
9Daemon Hunt (R)0X100.007874886774707550254540633845455574640221828,333$
10Donovan Sebrango (R)0X100.007481566781646754254351624844445787620223828,333$
Rayé
MOYENNE D’ÉQUIPE100.00777283707367786048565864435758637367
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
1Olivier Rodrigue (R)0100.00505366594951505550503044445177470241775,000$
Rayé
MOYENNE D’ÉQUIPE100.0050536659495150555050304444517747
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Daniel Alfredsson72788279989167USA5235,000,000$


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
1Jakob PelletierWolf Pack (NYR)LW40213354-99544371815511911.60%2184621.16152641541240001216145.00%403838011.28001001087
2Jason PolinWolf Pack (NYR)RW40142236-143325322994355014.89%1681820.4611172835112000023043.48%461828000.8800104572
3Patrick MaroonWolf Pack (NYR)LW40112031-5215125522813246778.33%1978319.607152222780001412143.90%413033000.7900988223
4Sam MortonWolf Pack (NYR)C40141125-327253141132478710.61%1580720.181041426710001223055.92%2452720000.6200221384
5Donovan SebrangoWolf Pack (NYR)D4081018-2275125583052232915.38%30102325.58851317117000064110%21160000.35001555201
6Ryan SuzukiRangersC1599185235171758222615.52%732121.4464108390112471163.00%2001315001.1200100611
7Daemon HuntWolf Pack (NYR)D4041115-5887043415814296.90%37108427.114610131200001961011.11%9686000.2800248053
8Matt MartinWolf Pack (NYR)C/LW406814-11948040266724238.96%2283020.76641014920002341049.40%83850000.3401457214
9Michael MilneWolf Pack (NYR)LW406511-8552537366322329.52%2487121.783581083000052046.67%151343000.2500113125
10Marco KasperRangersC22130001581425.00%15025.1001134101150048.78%4104001.2000000100
Statistiques d’équipe totales ou en moyenne33795130225-5281948535529084528947611.24%192743622.077087157202845112934220453.74%722164377010.6101362536323430
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
1Olivier RodrigueWolf Pack (NYR)40221440.8922.42235384958785545000400545
Statistiques d’équipe totales ou en moyenne40221440.8922.4223538495878554500400545


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
Daemon HuntWolf Pack (NYR)D222002-05-15CANYes201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm828,333$0$0$No---------------------------Lien
Donovan SebrangoWolf Pack (NYR)D222002-01-12CANYes221 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm828,333$0$0$No828,333$828,333$-------828,333$828,333$-------NoNo-------Lien
Jakob PelletierWolf Pack (NYR)LW232001-03-07CANNo170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Jason PolinWolf Pack (NYR)RW251999-06-17USAYes198 Lbs6 ft0NoNoAssign ManuallyNoYes1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Joel FarabeeWolf Pack (NYR)LW242000-02-25USANo186 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm5,000,000$0$0$No5,000,000$5,000,000$-------5,000,000$5,000,000$-------NoNo-------Lien / Lien NHL
Liam FoudyWolf Pack (NYR)C/LW/RW242000-02-04CANNo186 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Matt MartinWolf Pack (NYR)C/LW351989-05-08CANNo215 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Michael MilneWolf Pack (NYR)LW222002-09-21CANYes185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm861,667$0$0$No861,667$861,667$-------861,667$861,667$-------NoNo-------Lien
Olivier RodrigueWolf Pack (NYR)G242000-07-06CANYes158 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Patrick MaroonWolf Pack (NYR)LW361988-04-23USANo234 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Sam MortonWolf Pack (NYR)C251999-07-28USAYes185 Lbs6 ft0NoNoAssign ManuallyNoYes1FalseFalsePro & Farm870,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1125.64194 Lbs6 ft11.551,235,303$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakob PelletierJason Polin40122
2Patrick MaroonSam Morton30122
3Michael MilneSam Morton20122
4Matt MartinJakob Pelletier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daemon HuntDonovan Sebrango40122
2Michael MilneMatt Martin30122
3Daemon HuntDonovan Sebrango20122
4Patrick MaroonJason Polin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakob PelletierJason Polin60122
2Patrick MaroonSam Morton40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daemon HuntDonovan Sebrango60122
2Michael MilneMatt Martin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Sam MortonJakob Pelletier40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daemon HuntDonovan Sebrango60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Daemon HuntDonovan Sebrango60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Sam MortonJakob Pelletier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daemon HuntDonovan Sebrango60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob PelletierJason PolinDaemon HuntDonovan Sebrango
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob PelletierJason PolinDaemon HuntDonovan Sebrango
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Patrick Maroon, Michael Milne, Matt MartinPatrick Maroon, Michael MilneMatt Martin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Daemon Hunt, Donovan Sebrango, Daemon HuntDonovan Sebrango,
Tirs de pénalité
, , Sam Morton, Jakob Pelletier, Patrick Maroon
Gardien
#1 : Olivier Rodrigue, #2 :
Lignes d’attaque personnalisées en prolongation
, , Sam Morton, Jakob Pelletier, Patrick Maroon, Michael Milne, Matt Martin, Jason Polin, ,
Lignes de défense personnalisées en prolongation
Daemon Hunt, Donovan Sebrango, , ,


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
1Admirals1000010023-1000000000001000010023-110.50024600175641127253343416626823214250.00%4250.00%036872151.04%28458648.46%31358953.14%6794031226292504244
2Americans11000000303110000003030000000000021.0003690117564112825334341661571610400.00%30100.00%036872151.04%28458648.46%31358953.14%6794031226292504244
3Barracuda1010000003-31010000003-30000000000000.00000000175641119253343416626112416400.00%7185.71%036872151.04%28458648.46%31358953.14%6794031226292504244
4Bears210001005411000010034-11100000020230.7505813011756411542533434166381729309555.56%7271.43%036872151.04%28458648.46%31358953.14%6794031226292504244
5Bruins211000005321010000001-11100000052320.50059140017564115125334341664415423010550.00%6183.33%036872151.04%28458648.46%31358953.14%6794031226292504244
6Checkers22000000725110000003211100000040441.000714210117564116125334341664511443114642.86%7185.71%036872151.04%28458648.46%31358953.14%6794031226292504244
7Comets1010000023-1000000000001010000023-100.00024600175641118253343416630534124250.00%2150.00%036872151.04%28458648.46%31358953.14%6794031226292504244
8Condors1010000024-2000000000001010000024-200.00024600175641133253343416614139205240.00%2150.00%036872151.04%28458648.46%31358953.14%6794031226292504244
9Crunch11000000431110000004310000000000021.000481200175641122253343416622338156116.67%40100.00%036872151.04%28458648.46%31358953.14%6794031226292504244
10Devils1010000003-31010000003-30000000000000.000000001756411925334341662021412200.00%7185.71%036872151.04%28458648.46%31358953.14%6794031226292504244
11Eagles11000000431000000000001100000043121.000471100175641121253343416626121272150.00%6266.67%036872151.04%28458648.46%31358953.14%6794031226292504244
12Griffins11000000321110000003210000000000021.00035800175641125253343416625326163266.67%8275.00%036872151.04%28458648.46%31358953.14%6794031226292504244
13Gulls11000000523110000005230000000000021.000581300175641123253343416621717125240.00%6183.33%036872151.04%28458648.46%31358953.14%6794031226292504244
14Heat1010000023-1000000000001010000023-100.00023500175641125253343416628756143266.67%9188.89%036872151.04%28458648.46%31358953.14%6794031226292504244
15Hockey Club 1010000036-31010000036-30000000000000.00036900175641129253343416625536135240.00%3233.33%036872151.04%28458648.46%31358953.14%6794031226292504244
16IceHogs10001000321100010003210000000000021.0003580017564112325334341663710341711100.00%20100.00%036872151.04%28458648.46%31358953.14%6794031226292504244
17Marlies1010000013-2000000000001010000013-200.000112001756411232533434166225379300.00%6266.67%036872151.04%28458648.46%31358953.14%6794031226292504244
18Monsters2010010047-31010000024-21000010023-110.2504711001756411312533434166501943247228.57%9455.56%136872151.04%28458648.46%31358953.14%6794031226292504244
19Moose11000000633000000000001100000063321.000691500175641134253343416613223168562.50%4175.00%036872151.04%28458648.46%31358953.14%6794031226292504244
20Penguins21100000770110000005411010000023-120.500711180017564114425334341665010752712433.33%10370.00%036872151.04%28458648.46%31358953.14%6794031226292504244
21Phantoms2010010057-21000010034-11010000023-110.250581300175641152253343416637854327228.57%7185.71%036872151.04%28458648.46%31358953.14%6794031226292504244
22Rampage1010000025-3000000000001010000025-300.000235001756411402533434166461731263266.67%8362.50%036872151.04%28458648.46%31358953.14%6794031226292504244
23Reign1010000023-11010000023-10000000000000.00024600175641126253343416621913142150.00%4250.00%136872151.04%28458648.46%31358953.14%6794031226292504244
24Rocket11000000211000000000001100000021121.0002350017564112025334341662278152150.00%40100.00%036872151.04%28458648.46%31358953.14%6794031226292504244
25Sagnéens1010000012-1000000000001010000012-100.0001230017564112625334341661741813200.00%4175.00%036872151.04%28458648.46%31358953.14%6794031226292504244
26Senators11000000716000000000001100000071621.0007132000175641137253343416618728117571.43%40100.00%036872151.04%28458648.46%31358953.14%6794031226292504244
27Sound Tigers22000000532110000003211100000021141.00057120017564116225334341663611342410440.00%7271.43%036872151.04%28458648.46%31358953.14%6794031226292504244
28Stars22000000844220000008440000000000041.00081523001756411402533434166456772610770.00%11281.82%036872151.04%28458648.46%31358953.14%6794031226292504244
29Thunderbirds22000000523110000002021100000032141.000581301175641148253343416639937219555.56%6183.33%036872151.04%28458648.46%31358953.14%6794031226292504244
30Wild11000000523000000000001100000052321.000581300175641135253343416620441179444.44%3166.67%036872151.04%28458648.46%31358953.14%6794031226292504244
31Wolves11000000514110000005140000000000021.0005813001756411322533434166213341510440.00%2150.00%036872151.04%28458648.46%31358953.14%6794031226292504244
Total4021140140011597182011601200575072010800200584711480.6001151983130417564111018253343416689925710075661827943.41%1724275.58%236872151.04%28458648.46%31358953.14%6794031226292504244
_Since Last GM Reset4021140140011597182011601200575072010800200584711480.6001151983130417564111018253343416689925710075661827943.41%1724275.58%236872151.04%28458648.46%31358953.14%6794031226292504244
_Vs Conference231370030062491311630020028271127400100342212290.6306210716904175641156025334341664881365333031064239.62%891978.65%136872151.04%28458648.46%31358953.14%6794031226292504244
_Vs Division109300200301515541002001266552000001899201.000305383021756411254253343416620756232127441943.18%41685.37%036872151.04%28458648.46%31358953.14%6794031226292504244

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4048W11151983131018899257100756604
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
402114140011597
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2011612005750
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2010802005847
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1827943.41%1724275.58%2
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
25334341661756411
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
36872151.04%28458648.46%31358953.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
6794031226292504244


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 - 2025-10-0514Crunch3Wolf Pack4WSommaire du match
2 - 2025-10-0621Wolf Pack2Monsters3LXSommaire du match
4 - 2025-10-0848Barracuda3Wolf Pack0LSommaire du match
5 - 2025-10-0961Wolf Pack2Rocket1WSommaire du match
6 - 2025-10-1070Penguins4Wolf Pack5WSommaire du match
7 - 2025-10-1194Wolf Pack2Condors4LSommaire du match
9 - 2025-10-13101Wolf Pack2Heat3LSommaire du match
11 - 2025-10-15123Hockey Club 6Wolf Pack3LSommaire du match
12 - 2025-10-16142Wolf Pack6Moose3WSommaire du match
14 - 2025-10-18154Americans0Wolf Pack3WSommaire du match
16 - 2025-10-20164Sound Tigers2Wolf Pack3WSommaire du match
17 - 2025-10-21191Wolves1Wolf Pack5WSommaire du match
18 - 2025-10-22197Wolf Pack2Sound Tigers1WSommaire du match
19 - 2025-10-23210Wolf Pack4Checkers0WSommaire du match
20 - 2025-10-24237Griffins2Wolf Pack3WSommaire du match
23 - 2025-10-27255Wolf Pack1Marlies3LSommaire du match
24 - 2025-10-28272Thunderbirds0Wolf Pack2WSommaire du match
26 - 2025-10-30286Wolf Pack2Rampage5LSommaire du match
27 - 2025-10-31302Reign3Wolf Pack2LSommaire du match
28 - 2025-11-01325Devils3Wolf Pack0LSommaire du match
29 - 2025-11-02343Wolf Pack7Senators1WSommaire du match
30 - 2025-11-03357Phantoms4Wolf Pack3LXSommaire du match
31 - 2025-11-04372Wolf Pack2Admirals3LXSommaire du match
33 - 2025-11-06390IceHogs2Wolf Pack3WXSommaire du match
34 - 2025-11-07407Wolf Pack5Bruins2WSommaire du match
35 - 2025-11-08421Bears4Wolf Pack3LXSommaire du match
36 - 2025-11-09433Wolf Pack2Bears0WSommaire du match
37 - 2025-11-10448Checkers2Wolf Pack3WSommaire du match
38 - 2025-11-11455Wolf Pack1Sagnéens2LSommaire du match
39 - 2025-11-12476Wolf Pack3Thunderbirds2WSommaire du match
40 - 2025-11-13488Wolf Pack2Penguins3LSommaire du match
42 - 2025-11-15506Monsters4Wolf Pack2LSommaire du match
43 - 2025-11-16525Gulls2Wolf Pack5WSommaire du match
45 - 2025-11-18547Bruins1Wolf Pack0LSommaire du match
46 - 2025-11-19552Wolf Pack5Wild2WSommaire du match
47 - 2025-11-20572Wolf Pack2Comets3LSommaire du match
49 - 2025-11-22592Stars2Wolf Pack5WSommaire du match
50 - 2025-11-23598Wolf Pack4Eagles3WSommaire du match
52 - 2025-11-25616Wolf Pack2Phantoms3LSommaire du match
54 - 2025-11-27640Stars2Wolf Pack3WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50003000
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
0 0 - 0.00% 0$0$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
12,056,037$ 13,588,333$ 13,588,333$ 5,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 12,056,037$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 247,061$ 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

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

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

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

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