Connexion

Wolf Pack
GP: 59 | W: 31 | L: 24 | OTL: 4 | P: 66
GF: 246 | GA: 233 | PP%: 27.50% | PK%: 69.12%
DG: | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #944 vs Eagles
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Centre de jeu
Checkers
28-28-4, 60pts
5
FINAL
4 Wolf Pack
31-24-4, 66pts
Team Stats
L1StreakSOL1
12-17-0Home Record18-10-1
16-11-4Away Record13-14-3
5-4-1Last 10 Games4-4-2
4.47Buts par match 4.17
4.73Buts contre par match 3.95
30.86%Pourcentage en avantage numérique27.50%
63.37%Pourcentage en désavantage numérique69.12%
Wolf Pack
31-24-4, 66pts
4
FINAL
5 Admirals
18-37-5, 41pts
Team Stats
SOL1StreakW3
18-10-1Home Record10-17-2
13-14-3Away Record8-20-3
4-4-2Last 10 Games4-6-0
4.17Buts par match 3.97
3.95Buts contre par match 5.45
27.50%Pourcentage en avantage numérique26.71%
69.12%Pourcentage en désavantage numérique69.93%
Eagles
34-18-8, 76pts
2022-10-09
Wolf Pack
31-24-4, 66pts
Statistiques d’équipe
L1SéquenceSOL1
18-8-3Fiche domicile18-10-1
16-10-5Fiche visiteur13-14-3
5-4-110 derniers matchs4-4-2
4.07Buts par match 4.17
3.88Buts contre par match 4.17
27.01%Pourcentage en avantage numérique27.50%
72.78%Pourcentage en désavantage numérique69.12%
Wolf Pack
31-24-4, 66pts
2022-10-11
Moose
26-30-4, 56pts
Statistiques d’équipe
SOL1SéquenceW1
18-10-1Fiche domicile15-14-0
13-14-3Fiche visiteur11-16-4
4-4-210 derniers matchs6-3-1
4.17Buts par match 4.25
3.95Buts contre par match 4.25
27.50%Pourcentage en avantage numérique33.14%
69.12%Pourcentage en désavantage numérique66.25%
Canucks
33-24-2, 68pts
2022-10-13
Wolf Pack
31-24-4, 66pts
Statistiques d’équipe
L1SéquenceSOL1
16-12-1Fiche domicile18-10-1
17-12-1Fiche visiteur13-14-3
3-6-110 derniers matchs4-4-2
4.49Buts par match 4.17
3.78Buts contre par match 4.17
26.04%Pourcentage en avantage numérique27.50%
79.63%Pourcentage en désavantage numérique69.12%
Meneurs d'équipe
Anthony GrecoButs
Anthony Greco
26
Anthony GrecoPasses
Anthony Greco
35
Anthony GrecoPoints
Anthony Greco
61
Anthony GrecoPlus/Moins
Anthony Greco
24
Keith KinkaidVictoires
Keith Kinkaid
19
Adam HuskaPourcentage d’arrêts
Adam Huska
0.955

Statistiques d’équipe
Buts pour
246
4.17 GFG
Tirs pour
2136
36.20 Avg
Pourcentage en avantage numérique
27.5%
44 GF
Début de zone offensive
39.6%
Buts contre
233
3.95 GAA
Tirs contre
2012
34.10 Avg
Pourcentage en désavantage numérique
69.1%
67 GA
Début de la zone défensive
39.6%
Informations de l'équipe

Directeur général
EntraîneurKris Knoblauch
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure23
Limite contact 44 / 20
Espoirs0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Jonny BrodzinskiX100.006638826680857965756668676470744440660281750,000$
2Timothy GettingerX99.008560828191727964576460616058607740650241750,000$
3Anthony GrecoX100.006235946965898364586863586570723540640281737,500$
4Justin RichardsX100.007536846872778366716759646266675340640241925,000$
5Dryden HuntX100.008741826373848765596662596468693640640262762,005$
6Austin RueschhoffX100.009185655699788457535659645666685240620241842,500$
7Maxim LetunovX100.007339905882789257615461615967696940620261750,000$
8Patrick KhodorenkoX100.006338865975758854645856575565675240600232925,000$
9Ty RonningX100.006236905964848858645758546266685640590241750,000$
10Zachary Jones (R)X99.007164887877847669507065656557607240660212925,000$
11Jarred TinordiX99.008983775899877160306360804571726540650302900,000$
12Braden SchneiderX100.007239866882839067306663645364668240650203925,000$
13Nils LundkvistX100.006137866872828466306560635063658140630213925,000$
14Hunter SkinnerX100.006839815879727357305655584662646140580213850,833$
Rayé
1Ryan ReavesX96.0091897861857687635864635656847624406503511,750,000$
2Greg McKeggX87.656636936273777462736164725972735340640291750,000$
3Libor HajekX73.717131846786807466306763675365677340650241874,125$
MOYENNE D’ÉQUIPE97.24744984658080826253636163576768584063
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 moyen
1Charlie Lindgren100.00767374767574767574767570835140630281750,000$
2Keith Kinkaid96.00757677797473757372757476884540630321825,000$
Rayé
1Adam Huska100.00747273897372747472747365735740620251750,000$
2Tyler Wall100.00636768866261636261636264714840560241925,000$
MOYENNE D’ÉQUIPE99.0072727383717072717072716979504061
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kris Knoblauch66666970666283CAN432900,000$


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
1Anthony GrecoWolf Pack (NYR)RW59263561248053882375617610.97%11110618.753811361290000133118.756800011.1000000333
2Libor HajekWolf Pack (NYR)D58133548143608353103385112.62%62106118.3068144189000399100.00%000000.9000000042
3Greg McKeggWolf Pack (NYR)C55252146181202298174529614.37%1270812.8823510360000211112.8869900001.3000000224
4Zachary JonesWolf Pack (NYR)D3813314414140406480285216.25%5493424.60581339851123115210.00%000010.9401000411
5Braden SchneiderWolf Pack (NYR)D59123244540010571103327711.65%73121620.624812431110000136200.00%000000.7200000202
6Justin RichardsWolf Pack (NYR)C5117264315602676125358613.60%869413.612134170001212013.6167300011.2400000303
7Jarred TinordiWolf Pack (NYR)D54113243104801946111239689.82%103107719.9645940910220106300.00%000000.8000000402
8Jonny BrodzinskiWolf Pack (NYR)C3721204124015951534810613.73%1873019.73448195800021043019.7381200111.1200000312
9Ryan ReavesWolf Pack (NYR)RW56211940-15610153581713312612.28%16112720.136612261201012603220.138200000.7100002122
10Dryden HuntWolf Pack (NYR)LW49102939853513451161451306.21%1189518.28347231000000111118.285500000.8701100042
11Timothy GettingerWolf Pack (NYR)LW41122739102408685157351207.64%1087821.43191017860003962021.4313500000.8911000010
12Patrik NemethRangersD2273037442062427824478.97%5852723.981783662000150010.00%000101.4000000130
13Austin RueschhoffWolf Pack (NYR)RW571319322080101334294307513.83%1570512.38000000000282012.386900000.9100101012
14Nils LundkvistWolf Pack (NYR)D59425291220032645419347.41%5984014.2501105000056000.00%000000.6900000000
15Maxim LetunovWolf Pack (NYR)C5913132611120443272274718.06%560410.24000223000011010.2419600000.8600000131
16Filip ChytilRangersC217121950077710326736.80%952024.8023516510000711024.8068300000.7300000110
17Hunter SkinnerWolf Pack (NYR)D4731518824069181061530.00%3858612.4800001000038000.00%000000.6100000000
18Kevin RooneyRangersC1076137100213556173712.50%119919.951235210000181019.9525100011.3000000200
19Patrick KhodorenkoWolf Pack (NYR)C59437100372451216.67%52263.8400048000130003.847300000.6200000001
20Ty RonningWolf Pack (NYR)RW59314-20018153514188.57%42303.910000000000003.911700000.3500000000
Statistiques d’équipe totales ou en moyenne95024243167318548925130011322102609144611.51%5721487415.664477121361110423516108128756.15%381300250.9013203272627
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
1Keith KinkaidWolf Pack (NYR)38191340.8943.4721474112411690100.5004380120
2Charlie LindgrenWolf Pack (NYR)139300.9212.4770600293680220.00%01129101
3Adam HuskaWolf Pack (NYR)30100.9551.8864002440000.00%007000
Statistiques d’équipe totales ou en moyenne54281740.9023.1929194115515810320.50044936221


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 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
Adam HuskaWolf Pack (NYR)G251997-05-12No214 Lbs6 ft4NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Anthony GrecoWolf Pack (NYR)RW281993-09-30No179 Lbs5 ft10NoNoNo1Pro & Farm737,500$222,043$0$0$NoLien / Lien NHL
Austin RueschhoffWolf Pack (NYR)RW241997-09-07No230 Lbs6 ft7NoNoNo1Pro & Farm842,500$253,656$0$0$NoLien / Lien NHL
Braden SchneiderWolf Pack (NYR)D202001-09-20No202 Lbs6 ft2NoNoNo3Pro & Farm925,000$278,495$0$0$No925,000$925,000$Lien
Charlie LindgrenWolf Pack (NYR)G281993-12-18No179 Lbs6 ft2NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Dryden HuntWolf Pack (NYR)LW261995-11-24No192 Lbs6 ft0NoNoNo2Pro & Farm762,005$229,421$0$0$No762,005$Lien / Lien NHL
Greg McKeggWolf Pack (NYR)C291992-06-17No195 Lbs6 ft0NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Hunter SkinnerWolf Pack (NYR)D212001-04-29No182 Lbs6 ft2NoNoNo3Pro & Farm850,833$256,165$0$0$No850,833$850,833$Lien / Lien NHL
Jarred TinordiWolf Pack (NYR)D301992-02-20No232 Lbs6 ft6NoNoNo2Pro & Farm900,000$270,968$0$0$No900,000$Lien / Lien NHL
Jonny BrodzinskiWolf Pack (NYR)C281993-06-19No211 Lbs6 ft1NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Justin RichardsWolf Pack (NYR)C241998-03-17No190 Lbs5 ft11NoNoNo1Pro & Farm925,000$278,495$0$0$NoLien / Lien NHL
Keith KinkaidWolf Pack (NYR)G321989-07-04No191 Lbs6 ft2NoNoNo1Pro & Farm825,000$248,387$0$0$NoLien / Lien NHL
Libor HajekWolf Pack (NYR)D241998-02-04No206 Lbs6 ft3NoNoNo1Pro & Farm874,125$263,177$0$0$NoLien / Lien NHL
Maxim LetunovWolf Pack (NYR)C261996-02-20No180 Lbs6 ft4NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Nils LundkvistWolf Pack (NYR)D212000-07-27No187 Lbs5 ft11NoNoNo3Pro & Farm925,000$278,495$0$0$No925,000$925,000$Lien
Patrick KhodorenkoWolf Pack (NYR)C231998-10-13No200 Lbs6 ft0NoNoNo2Pro & Farm925,000$278,495$0$0$No925,000$Lien / Lien NHL
Ryan ReavesWolf Pack (NYR)RW351987-01-20No225 Lbs6 ft2NoNoNo1Pro & Farm1,750,000$526,882$0$0$NoLien / Lien NHL
Timothy GettingerWolf Pack (NYR)LW241998-04-14No220 Lbs6 ft6NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien
Ty RonningWolf Pack (NYR)RW241997-10-20No167 Lbs5 ft9NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Tyler WallWolf Pack (NYR)G241998-01-14No214 Lbs6 ft3NoNoNo1Pro & Farm925,000$278,495$0$0$NoLien / Lien NHL
Zachary JonesWolf Pack (NYR)D212000-10-18Yes172 Lbs5 ft10NoNoNo2Pro & Farm925,000$278,495$0$0$No925,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2125.57198 Lbs6 ft21.48873,427$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Timothy Gettinger40122
2Dryden HuntAnthony Greco30122
3Maxim LetunovJustin RichardsAustin Rueschhoff20122
4Maxim LetunovTy Ronning10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zachary JonesJarred Tinordi40122
2Braden Schneider30122
3Nils LundkvistHunter Skinner20122
4Zachary JonesJarred Tinordi10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Timothy Gettinger60122
2Dryden HuntAnthony Greco40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zachary JonesJarred Tinordi60122
2Braden Schneider40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Timothy Gettinger40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zachary JonesJarred Tinordi60122
2Braden Schneider40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Zachary JonesJarred Tinordi60122
240122Braden Schneider40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Timothy Gettinger40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zachary JonesJarred Tinordi60122
2Braden Schneider40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Timothy GettingerZachary JonesJarred Tinordi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Timothy GettingerZachary JonesJarred Tinordi
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Patrick Khodorenko, Justin Richards, Austin RueschhoffPatrick Khodorenko, Justin RichardsAustin Rueschhoff
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nils Lundkvist, Hunter Skinner, Braden SchneiderNils LundkvistHunter Skinner, Braden Schneider
Tirs de pénalité
, , Timothy Gettinger, , Dryden Hunt
Gardien
#1 : Keith Kinkaid, #2 :
Lignes d’attaque personnalisées en prolongation
, , Timothy Gettinger, , Dryden Hunt, Justin Richards, Justin Richards, Anthony Greco, Maxim Letunov, Austin Rueschhoff, Patrick Khodorenko
Lignes de défense personnalisées en prolongation
Zachary Jones, Jarred Tinordi, Braden Schneider, , Nils Lundkvist


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
1Admirals21000001761110000003121000000145-130.75071320009973705797397046732474292251300.00%11372.73%11019198451.36%964198848.49%533104251.15%147910641354402724367
2American11000000716110000007160000000000021.0007132000997370548739704673242664276350.00%20100.00%01019198451.36%964198848.49%533104251.15%147910641354402724367
3Barrucada2110000015141110000007521010000089-120.5001527420099737058473970467324933918403133.33%8450.00%01019198451.36%964198848.49%533104251.15%147910641354402724367
4Bears3120000010912020000036-31100000073420.333101828009973705101739704673241033337787114.29%10280.00%01019198451.36%964198848.49%533104251.15%147910641354402724367
5Bruins20001100550100010003211000010023-130.75058130099737055073970467324692128525120.00%14378.57%01019198451.36%964198848.49%533104251.15%147910641354402724367
6Checkers32100000181261010000045-122000000147740.667183250009973705119739704673241053030657342.86%13561.54%01019198451.36%964198848.49%533104251.15%147910641354402724367
7Chekers220000001147110000004131100000073441.0001119300099737057373970467324601712392150.00%6183.33%01019198451.36%964198848.49%533104251.15%147910641354402724367
8Comets422000001219-721100000611-52110000068-240.5001221330099737051507397046732416448189316318.75%8275.00%01019198451.36%964198848.49%533104251.15%147910641354402724367
9Condors33000000191181100000054122000000147761.00019335200997370511073970467324862827648450.00%11463.64%11019198451.36%964198848.49%533104251.15%147910641354402724367
10Crunch11000000514110000005140000000000021.00051015009973705337397046732439106214125.00%30100.00%01019198451.36%964198848.49%533104251.15%147910641354402724367
11Griffins2000200013112100010008711000100054141.0001324370099737057173970467324601414345240.00%7528.57%01019198451.36%964198848.49%533104251.15%147910641354402724367
12Heat311001001091210001009541010000014-330.50010182801997370591739704673249236307412325.00%140100.00%01019198451.36%964198848.49%533104251.15%147910641354402724367
13IceHogs210010001275110000008441000100043141.0001222340099737058973970467324631812434125.00%6183.33%01019198451.36%964198848.49%533104251.15%147910641354402724367
14Islanders20200000210-80000000000020200000210-800.000246009973705557397046732461251447100.00%7442.86%01019198451.36%964198848.49%533104251.15%147910641354402724367
15Marlies3210000017170211000001213-11100000054140.6671733501099737051377397046732411039186010330.00%9455.56%01019198451.36%964198848.49%533104251.15%147910641354402724367
16Monsters1010000046-21010000046-20000000000000.0004812009973705287397046732437512193133.33%6433.33%01019198451.36%964198848.49%533104251.15%147910641354402724367
17Penguins220000001257110000003211100000093641.000122335009973705947397046732455172541300.00%5260.00%01019198451.36%964198848.49%533104251.15%147910641354402724367
18Phantoms42100100141312200000011742010010036-350.6251427411099737051727397046732411028288414321.43%13376.92%01019198451.36%964198848.49%533104251.15%147910641354402724367
19Reign20200000611-51010000034-11010000037-400.000612180099737055273970467324761914417342.86%70100.00%01019198451.36%964198848.49%533104251.15%147910641354402724367
20Roadrunners1010000049-5000000000001010000049-500.0004711009973705327397046732457151121000.00%3233.33%01019198451.36%964198848.49%533104251.15%147910641354402724367
21Rocket1010000013-2000000000001010000013-200.00012300997370528739704673244310822300.00%4175.00%01019198451.36%964198848.49%533104251.15%147910641354402724367
22Senators220000001046110000004311100000061541.0001018280099737059273970467324339644700.00%30100.00%01019198451.36%964198848.49%533104251.15%147910641354402724367
23Silver Knights31200000913-41100000043120200000510-520.33391726009973705887397046732413134375311545.45%16475.00%01019198451.36%964198848.49%533104251.15%147910641354402724367
24Stars1010000036-3000000000001010000036-300.0003580099737052273970467324398626300.00%3233.33%01019198451.36%964198848.49%533104251.15%147910641354402724367
25Thunderbirds20200000714-71010000028-61010000056-100.000714210099737057273970467324661920376350.00%10550.00%01019198451.36%964198848.49%533104251.15%147910641354402724367
26Wild1010000046-21010000046-20000000000000.00048121099737052773970467324401510312150.00%5340.00%01019198451.36%964198848.49%533104251.15%147910641354402724367
27Wolves42200000972211000004312110000054140.500917260199737051397397046732412026281028112.50%13376.92%01019198451.36%964198848.49%533104251.15%147910641354402724367
Total5927240430124623313291610021001231081530111402201123125-2660.559246453699329973705213673970467324201259849513091604427.50%2176769.12%21019198451.36%964198848.49%533104251.15%147910641354402724367
_Since Last GM Reset5927240430124623313291610021001231081530111402201123125-2660.559246453699329973705213673970467324201259849513091604427.50%2176769.12%21019198451.36%964198848.49%533104251.15%147910641354402724367
_Vs Conference35171303200139123161897020007467717860120065569420.6001392583972199737051317739704673241135321276789992222.22%1173867.52%01019198451.36%964198848.49%533104251.15%147910641354402724367
_Vs Division20910001006369-61055000003135-41045001003234-2190.475631181811199737057397397046732465018216246452917.31%622067.74%01019198451.36%964198848.49%533104251.15%147910641354402724367

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5966SOL124645369921362012598495130932
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5927244301246233
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2916102100123108
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3011142201123125
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1604427.50%2176769.12%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
739704673249973705
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
1019198451.36%964198848.49%533104251.15%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
147910641354402724367


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 - 2022-05-317Phantoms4Wolf Pack5BWSommaire du match
3 - 2022-06-0216Wolf Pack1Islanders4ALSommaire du match
6 - 2022-06-0539Bears3Wolf Pack1BLSommaire du match
10 - 2022-06-0965Wolf Pack2Silver Knights5ALSommaire du match
12 - 2022-06-1178Wolves0Wolf Pack2BWSommaire du match
14 - 2022-06-1388Wolf Pack1Comets4ALSommaire du match
16 - 2022-06-15103Comets2Wolf Pack4BWSommaire du match
18 - 2022-06-17118Wolf Pack1Wolves2ALSommaire du match
20 - 2022-06-19132Wolf Pack9Penguins3AWSommaire du match
22 - 2022-06-21146Wolf Pack6Checkers2AWSommaire du match
23 - 2022-06-22154Wolf Pack2Phantoms4ALSommaire du match
24 - 2022-06-23161Monsters6Wolf Pack4BLSommaire du match
28 - 2022-06-27189Marlies4Wolf Pack5BWSommaire du match
31 - 2022-06-30210Heat5Wolf Pack4BLXSommaire du match
33 - 2022-07-02223Wolf Pack7Bears3AWSommaire du match
36 - 2022-07-05244Wolf Pack8Condors2AWSommaire du match
37 - 2022-07-06253Phantoms3Wolf Pack6BWSommaire du match
40 - 2022-07-09276Silver Knights3Wolf Pack4BWSommaire du match
42 - 2022-07-11289Wolf Pack5Marlies4AWSommaire du match
44 - 2022-07-13307Wolf Pack5Thunderbirds6ALSommaire du match
45 - 2022-07-14314Griffins7Wolf Pack8BWXSommaire du match
48 - 2022-07-17334Wolf Pack4Roadrunners9ALSommaire du match
49 - 2022-07-18348Comets9Wolf Pack2BLSommaire du match
53 - 2022-07-22371Barrucada5Wolf Pack7BWSommaire du match
55 - 2022-07-24390Wolf Pack8Barrucada9ALSommaire du match
57 - 2022-07-26403Marlies9Wolf Pack7BLSommaire du match
60 - 2022-07-29426Wolf Pack3Stars6ALSommaire du match
61 - 2022-07-30438Wild6Wolf Pack4BLSommaire du match
64 - 2022-08-02459Wolves3Wolf Pack2BLSommaire du match
66 - 2022-08-04476Wolf Pack1Phantoms2ALXSommaire du match
69 - 2022-08-07494Bears3Wolf Pack2BLSommaire du match
71 - 2022-08-09507Wolf Pack7Chekers3AWSommaire du match
73 - 2022-08-11520Wolf Pack5Griffins4AWXSommaire du match
75 - 2022-08-13530Bruins2Wolf Pack3BWXSommaire du match
79 - 2022-08-17555Wolf Pack6Senators1AWSommaire du match
80 - 2022-08-18565Penguins2Wolf Pack3BWSommaire du match
83 - 2022-08-21587Crunch1Wolf Pack5BWSommaire du match
86 - 2022-08-24607Wolf Pack1Heat4ALSommaire du match
88 - 2022-08-26619Wolf Pack6Condors5AWSommaire du match
89 - 2022-08-27628American1Wolf Pack7BWSommaire du match
92 - 2022-08-30650Chekers1Wolf Pack4BWSommaire du match
94 - 2022-09-01663Wolf Pack8Checkers5AWSommaire du match
97 - 2022-09-04681Wolf Pack4IceHogs3AWXSommaire du match
98 - 2022-09-05691Heat0Wolf Pack5BWSommaire du match
101 - 2022-09-08715Wolf Pack5Comets4AWSommaire du match
102 - 2022-09-09723Thunderbirds8Wolf Pack2BLSommaire du match
105 - 2022-09-12740Wolf Pack1Islanders6ALSommaire du match
107 - 2022-09-14754Admirals1Wolf Pack3BWSommaire du match
109 - 2022-09-16774Wolf Pack3Silver Knights5ALSommaire du match
111 - 2022-09-18787Wolf Pack1Rocket3ALSommaire du match
112 - 2022-09-19794IceHogs4Wolf Pack8BWSommaire du match
115 - 2022-09-22819Condors4Wolf Pack5BWSommaire du match
118 - 2022-09-25842Wolf Pack2Bruins3ALXSommaire du match
119 - 2022-09-26853Senators3Wolf Pack4BWSommaire du match
121 - 2022-09-28872Wolf Pack4Wolves2AWSommaire du match
123 - 2022-09-30884Reign4Wolf Pack3BLSommaire du match
126 - 2022-10-03904Wolf Pack3Reign7ALSommaire du match
128 - 2022-10-05915Checkers5Wolf Pack4BLSommaire du match
129 - 2022-10-06924Wolf Pack4Admirals5ALXXSommaire du match
132 - 2022-10-09944Eagles-Wolf Pack-
134 - 2022-10-11957Wolf Pack-Moose-
136 - 2022-10-13975Canucks-Wolf Pack-
138 - 2022-10-15986Wolf Pack-Crunch-
142 - 2022-10-191012Wolf Pack-Monsters-
143 - 2022-10-201018Stars-Wolf Pack-
145 - 2022-10-221042Rocket-Wolf Pack-
147 - 2022-10-241053Wolf Pack-Eagles-
149 - 2022-10-261067Wolf Pack-Bears-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
151 - 2022-10-281082Phantoms-Wolf Pack-
154 - 2022-10-311104Penguins-Wolf Pack-
156 - 2022-11-021116Wolf Pack-Wild-
158 - 2022-11-041134Wolf Pack-American-
160 - 2022-11-061144Islanders-Wolf Pack-
162 - 2022-11-081166Wolf Pack-Canucks-
164 - 2022-11-101176Moose-Wolf Pack-
167 - 2022-11-131200Monsters-Wolf Pack-
171 - 2022-11-171227Gulls-Wolf Pack-
173 - 2022-11-191237Wolf Pack-Gulls-
176 - 2022-11-221257Roadrunners-Wolf Pack-
177 - 2022-11-231267Wolf Pack-Penguins-
182 - 2022-11-281295Islanders-Wolf Pack-
183 - 2022-11-291301Wolf Pack-Monsters-



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
12 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,050,575$ 1,834,196$ 1,834,196$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,861$ 1,421,543$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 56 14,700$ 823,200$




Wolf Pack 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

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 (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