ANA  ARI  BOS  BUF  CAR  CBJ  CGY  CHI  COL  DAL  DET  EDM  FLO  LAK  MIN  MTL  NJD  NSH  NYI  NYR  OTT  PHI  PIT  SEA  SJS  STL  TBL  TOR  VAN  VGK  WPG  WSH
LHSRSM

Connexion

Wolf Pack
GP: 49 | W: 34 | L: 12 | OTL: 3 | P: 71
GF: 238 | GA: 123 | PP%: 19.44% | PK%: 83.52%
DG: Renaud Meunier | Morale : 50 | Moyenne d’équipe : 63
Prochains matchs #809 vs Wranglers
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Wolf Pack
34-12-3, 71pts
4
FINAL
3 Marlies
34-14-3, 71pts
Team Stats
L1StreakW2
18-7-1Home Record20-7-1
16-5-2Away Record14-7-2
8-1-1Last 10 Games8-0-2
4.86Goals Per Game4.55
2.51Goals Against Per Game2.75
19.44%Power Play Percentage22.86%
83.52%Penalty Kill Percentage72.90%
Silver Knights
37-10-4, 78pts
3
FINAL
2 Wolf Pack
34-12-3, 71pts
Team Stats
OTW1StreakL1
21-4-2Home Record18-7-1
16-6-2Away Record16-5-2
8-1-1Last 10 Games8-1-1
5.14Goals Per Game4.86
2.71Goals Against Per Game2.51
26.85%Power Play Percentage19.44%
81.25%Penalty Kill Percentage83.52%
Wranglers
11-38-1, 23pts
2023-02-06
Wolf Pack
34-12-3, 71pts
Statistiques d’équipe
W1SéquenceL1
6-18-1Fiche domicile18-7-1
5-20-0Fiche visiteur16-5-2
3-7-010 derniers matchs8-1-1
3.72Buts par match 4.86
6.76Buts contre par match 2.51
23.53%Pourcentage en avantage numérique19.44%
62.00%Pourcentage en désavantage numérique83.52%
Canucks
12-36-1, 25pts
2023-02-08
Wolf Pack
34-12-3, 71pts
Statistiques d’équipe
L1SéquenceL1
6-18-0Fiche domicile18-7-1
6-18-1Fiche visiteur16-5-2
3-6-110 derniers matchs8-1-1
3.88Buts par match 4.86
7.04Buts contre par match 2.51
17.95%Pourcentage en avantage numérique19.44%
61.90%Pourcentage en désavantage numérique83.52%
Firebirds
6-40-3, 15pts
2023-02-10
Wolf Pack
34-12-3, 71pts
Statistiques d’équipe
SOL1SéquenceL1
3-22-1Fiche domicile18-7-1
3-18-2Fiche visiteur16-5-2
2-6-210 derniers matchs8-1-1
3.73Buts par match 4.86
7.41Buts contre par match 2.51
22.67%Pourcentage en avantage numérique19.44%
75.00%Pourcentage en désavantage numérique83.52%
Meneurs d'équipe
Eetu MakiniemiVictoires
Eetu Makiniemi
30
Eetu MakiniemiPourcentage d’arrêts
Eetu Makiniemi
0.921

Statistiques d’équipe
Buts pour
238
4.86 GFG
Tirs pour
2082
42.49 Avg
Pourcentage en avantage numérique
19.4%
21 GF
Début de zone offensive
42.4%
Buts contre
123
2.51 GAA
Tirs contre
1513
30.88 Avg
Pourcentage en désavantage numérique
83.5%
15 GA
Début de la zone défensive
37.3%
Informations de l'équipe

Directeur généralRenaud Meunier
DivisionAtlantique
ConférenceEst
CapitaineCal O'Reilly
Assistant #1Nate Thompson
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure19
Limite contact 40 / 250
Espoirs42


Historique d'équipe

Saison actuelle34-12-3 (71PTS)
Historique423-233-47 (0.602%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)21-23
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
1Julien GauthierX100.00803891679276816654656359656466050660232775,000$
2Chris WagnerXX100.007841826473908763706162755873740506603021,350,000$
3Nate Thompson (A)XX100.00723986627877815883615980568579050650371800,000$
4Cal O'Reilly (C)X100.00643791637279916273666163627681050650351650,000$
5Garrett PilonX100.00633793657386796175626761656466050640232750,000$
6Nic PetanXXX100.00563689666482786871676357666769050640263750,000$
7Glenn GawdinXX100.00713987637680826475655861596567050630241750,000$
8Connor BunnamanXX100.00723893567976875778585963566466050620232750,000$
9William LockwoodX100.00823876596779815763585962596466050610231925,000$
10Danila Klimovich (R)X100.00623483588179855952585756616062050600184925,000$
11Viktor Lodin (R)XX100.00653782587773646066586157646365050600222830,000$
12Logan StanleyX100.00798671629985845930715576456569050650232900,000$
13Nikita OkhotiukX100.00793670617681856230636260556264050630203905,000$
14Tarmo ReunanenX100.00643686657178736430665763516466050630231925,000$
15Guillaume BriseboisX100.00633892637570656230615862506567050620242750,000$
16Vladislav KolyachonokX100.00673790617682815930605758526163050610203905,000$
17Joe HickettsX100.00553782596477885830625654486668050600252750,000$
Rayé
MOYENNE D’ÉQUIPE100.0069408562767981615562606357666805063
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
1Brandon Bussi (R)100.0074666791737274737274736471050640232825,000$
2Eetu Makiniemi (R)100.0074697077737274737274736369050640222925,000$
Rayé
1Kirill Ustimenko100.0066686781656466656466656369050590221925,000$
2Ilya Konovalov (R)100.0065707173646365646365646671050590232925,000$
MOYENNE D’ÉQUIPE100.007068698169687069687069647005062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Cal O'ReillyWolf Pack (NYR)C492535604060471281655113115.15%893119.0025713871013414255.96%117400021.2902000325
2Nic PetanWolf Pack (NYR)C/LW/RW4916395531001672197521258.12%578315.9804412430002390257.14%4900001.4000000214
3Glenn GawdinWolf Pack (NYR)C/RW49183048311407070147388912.24%1468113.90123442000002054.83%32100001.4100000244
4Chris WagnerWolf Pack (NYR)C/RW4922254734200119127240691829.17%25107621.9704425931014715255.72%67300010.8703000533
5Nate ThompsonWolf Pack (NYR)C/LW4919254417605496215581458.84%1885417.4345929920001533058.73%12600011.0311000221
6Garrett PilonWolf Pack (NYR)C49152843300013771463911010.27%658912.0300001000013058.12%67100011.4600000142
7Guillaume BriseboisWolf Pack (NYR)D49733402714045427324449.59%66102120.843471785000146200.00%000000.7800000001
8Julien GauthierWolf Pack (NYR)RW491127382414011776141371327.80%1495619.5224622960002491061.33%7500000.7903000103
9Vladislav KolyachonokWolf Pack (NYR)D49102838432801043371264114.08%4496019.604372290011161200.00%000000.7900000122
10Tarmo ReunanenWolf Pack (NYR)D38926353060285071223212.68%3691624.134262372011364100.00%000000.7600000202
11William LockwoodWolf Pack (NYR)RW4917173421160111441252510013.60%665013.28000000001242049.06%5300001.0500000232
12Nikita OkhotiukWolf Pack (NYR)D4682331251801404364204012.50%5097021.091231852011045100.00%000000.6400000130
13Connor BunnamanWolf Pack (NYR)C/LW4914112528402744106248013.21%652210.6700001000022154.84%3100000.9600000102
14Joe HickettsWolf Pack (NYR)D3641923342039153682211.11%3965918.32011759000034010.00%000000.7000000210
15Logan StanleyWolf Pack (NYR)D2001818232207339236170.00%2843721.8500001000120000.00%000000.8200000011
16Danila KlimovichWolf Pack (NYR)RW41610162720181334113017.65%113729.0800000000000152.94%1700000.8600000100
17Viktor LodinWolf Pack (NYR)C/LW246713182012312783022.22%32279.4800000000001052.78%25200001.1400000021
Statistiques d’équipe totales ou en moyenne7442074016084831740103310001881518135011.00%3791261016.952136571928232351955729956.10%344200050.9619000262833
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
1Eetu MakiniemiWolf Pack (NYR)44301030.9212.4026276210513280110.6258436303
2Brandon BussiWolf Pack (NYR)64200.9182.7333020151840100.00%0643001
Statistiques d’équipe totales ou en moyenne50341230.9212.4329588212015120210.62584949304


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 Plafond 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
Brandon BussiWolf Pack (NYR)G231998-06-25Yes209 Lbs6 ft5NoNoNo2Pro & Farm825,000$0$0$No825,000$Lien / Lien NHL
Cal O'ReillyWolf Pack (NYR)C351986-09-30No188 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Chris WagnerWolf Pack (NYR)C/RW301991-05-27No191 Lbs6 ft0NoNoNo2Pro & Farm1,350,000$0$0$No1,350,000$Lien / Lien NHL
Connor BunnamanWolf Pack (NYR)C/LW231998-04-16No207 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Danila KlimovichWolf Pack (NYR)RW182003-01-09Yes202 Lbs6 ft2NoNoNo4Pro & Farm925,000$0$0$No894,167$894,167$894,167$Lien NHL
Eetu MakiniemiWolf Pack (NYR)G221999-04-19Yes184 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien NHL
Garrett PilonWolf Pack (NYR)C231998-04-13No191 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Glenn GawdinWolf Pack (NYR)C/RW241997-03-25No191 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Guillaume BriseboisWolf Pack (NYR)D241997-07-21No175 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Ilya KonovalovWolf Pack (NYR)G231998-07-13Yes194 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien NHL
Joe HickettsWolf Pack (NYR)D251996-05-04No180 Lbs5 ft8NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Julien GauthierWolf Pack (NYR)RW231997-10-15No227 Lbs6 ft4NoNoNo2Pro & Farm775,000$0$0$No800,000$Lien / Lien NHL
Kirill UstimenkoWolf Pack (NYR)G221999-01-29No187 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Logan StanleyWolf Pack (NYR)D231998-05-26No228 Lbs6 ft7NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien / Lien NHL
Nate ThompsonWolf Pack (NYR)C/LW371984-10-05No205 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Nic PetanWolf Pack (NYR)C/LW/RW261995-03-22No175 Lbs5 ft9NoNoNo3Pro & Farm750,000$0$0$No762,500$762,500$Lien / Lien NHL
Nikita OkhotiukWolf Pack (NYR)D202000-12-04No195 Lbs6 ft1NoNoNo3Pro & Farm905,000$0$0$No905,000$905,000$Lien / Lien NHL
Tarmo ReunanenWolf Pack (NYR)D231998-03-01No185 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Viktor LodinWolf Pack (NYR)C/LW221999-06-02Yes185 Lbs6 ft2NoNoNo2Pro & Farm830,000$0$0$No830,000$Lien NHL
Vladislav KolyachonokWolf Pack (NYR)D202001-05-26No193 Lbs6 ft1NoNoNo3Pro & Farm905,000$0$0$No905,000$905,000$Lien / Lien NHL
William LockwoodWolf Pack (NYR)RW231998-06-20No172 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2124.24194 Lbs6 ft11.95856,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nate ThompsonChris WagnerJulien Gauthier30122
2Nic PetanCal O'ReillyGlenn Gawdin30122
3Connor BunnamanGarrett PilonWilliam Lockwood20122
4Chris WagnerViktor LodinDanila Klimovich20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tarmo ReunanenLogan Stanley30122
2Nikita OkhotiukGuillaume Brisebois30122
3Joe HickettsVladislav Kolyachonok20122
4Tarmo ReunanenLogan Stanley20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nate ThompsonChris WagnerJulien Gauthier60122
2Nic PetanCal O'ReillyGlenn Gawdin40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tarmo ReunanenGuillaume Brisebois60122
2Vladislav KolyachonokJoe Hicketts40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chris WagnerJulien Gauthier60122
2Cal O'ReillyNate Thompson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tarmo ReunanenLogan Stanley60122
2Vladislav KolyachonokJoe Hicketts40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Chris Wagner60122Tarmo ReunanenLogan Stanley60122
2Julien Gauthier40122Vladislav KolyachonokJoe Hicketts40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chris WagnerJulien Gauthier60122
2Cal O'ReillyNate Thompson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tarmo ReunanenGuillaume Brisebois60122
2Vladislav KolyachonokJoe Hicketts40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nate ThompsonChris WagnerJulien GauthierTarmo ReunanenGuillaume Brisebois
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nate ThompsonChris WagnerJulien GauthierLogan StanleyNikita Okhotiuk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Garrett Pilon, Connor Bunnaman, William LockwoodGarrett Pilon, Connor BunnamanWilliam Lockwood
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vladislav Kolyachonok, Joe Hicketts, Tarmo ReunanenLogan StanleyJoe Hicketts, Tarmo Reunanen
Tirs de pénalité
Chris Wagner, Julien Gauthier, Cal O'Reilly, Nate Thompson, Nic Petan
Gardien
#1 : Eetu Makiniemi, #2 : Brandon Bussi


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
1Admirals11000000826000000000001100000082621.0008162400106646535265267973426377036100.00%000.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
2Barracuda21100000770110000002111010000056-120.5007111800106646537465267973426821514386233.33%7185.71%0942175653.64%816154352.88%43384051.55%12909421054325615315
3Bears11000000707110000007070000000000021.000714210110664653346526797342622104263133.33%20100.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
4Bruins21100000770211000007700000000000020.500713201010664653656526797342654202044200.00%9366.67%0942175653.64%816154352.88%43384051.55%12909421054325615315
5Checkers220000001248110000006151100000063341.0001223350010664653816526797342643158354250.00%4175.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
6Comets330000001165220000008531100000031261.000111728001066465312565267973426692045314214.29%20100.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
7Condors1100000010191100000010190000000000021.00010192900106646539065267973426191227000.00%110.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
8Crunch21100000981110000006421010000034-120.500917260010664653576526797342668191441300.00%70100.00%1942175653.64%816154352.88%43384051.55%12909421054325615315
9Eagles220000002021811000000918110000001111041.00020375700106646531256526797342645121051200.00%50100.00%1942175653.64%816154352.88%43384051.55%12909421054325615315
10Firebirds1100000011380000000000011000000113821.00011193000106646538765267973426306427200.00%20100.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
11Griffins210001005231000010001-11100000051430.750591400106646537865267973426551812386116.67%60100.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
12Gulls20200000311-81010000026-41010000015-400.000369001066465361652679734269830853400.00%3166.67%0942175653.64%816154352.88%43384051.55%12909421054325615315
13IceHogs2200000016106110000008621100000084441.00016314700106646531006526797342683226454125.00%30100.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
14Islanders320010001266210010009451100000032161.0001221330010664653104652679734269313127317423.53%40100.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
15Marlies2010001067-11010000024-21000001043120.50069150010664653846526797342666184538225.00%2150.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
16Monsters2010000158-31010000002-21000000156-110.2505914001066465371652679734265410462300.00%20100.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
17Moose11000000936000000000001100000093621.000916250010664653676526797342645186242150.00%3166.67%0942175653.64%816154352.88%43384051.55%12909421054325615315
18Penguins10001000321000000000001000100032121.000369001066465324652679734262312221400.00%110.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
19Phantoms22000000532110000002111100000032141.000571200106646536865267973426611910414250.00%50100.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
20Reign1010000023-1000000000001010000023-100.00024600106646533965267973426264421200.00%2150.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
21Roadrunners211000004401010000012-11100000032120.5004711001066465371652679734266010238300.00%110.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
22Rocket22000000173141100000072511000000101941.000173249001066465312765267973426436456000.00%20100.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
23Senators2110000056-11010000013-21100000043120.500591400106646538465267973426822812474125.00%5260.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
24Silver Knights2010000146-21010000023-11000000123-110.2504711001066465362652679734268923625500.00%20100.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
25Stars2200000018216110000009271100000090941.0001836540110664653108652679734265321245000.00%10100.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
26Thunderbirds11000000734110000007340000000000021.00071219001066465336652679734263615626200.00%20100.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
27Wild21100000523110000005141010000001-120.500591400106646536065267973426542112533266.67%5180.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
28Wolves1100000010281100000010280000000000021.00010182800106646534865267973426237628000.00%30100.00%0942175653.64%816154352.88%43384051.55%12909421054325615315
Total493112021122381231152617701100120625823145010121186157710.7242384346721210664653208265267973426151342019811271082119.44%911583.52%2942175653.64%816154352.88%43384051.55%12909421054325615315
_Since Last GM Reset493112021122381231152617701100120625823145010121186157710.7242384346721210664653208265267973426151342019811271082119.44%911583.52%2942175653.64%816154352.88%43384051.55%12909421054325615315
_Vs Conference251650201110663431510401000623626106101011442717390.780106189295111066465396065267973426714205104578681420.59%47882.98%1942175653.64%816154352.88%43384051.55%12909421054325615315
_Vs Division139102000532726861010003614225300100017134220.8465392145011066465347465267973426345914230445920.00%19194.74%0942175653.64%816154352.88%43384051.55%12909421054325615315

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4971L123843467220821513420198112712
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4931122112238123
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
26177110012062
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
23145101211861
Derniers 10 matchs
WLOTWOTL SOWSOL
710011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1082119.44%911583.52%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
6526797342610664653
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
942175653.64%816154352.88%43384051.55%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12909421054325615315


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
5 - 2022-10-113Crunch4Wolf Pack6BWSommaire du match
7 - 2022-10-1317Wolf Pack0Wild1ALSommaire du match
8 - 2022-10-1423Wolf Pack9Moose3AWSommaire du match
11 - 2022-10-1739Gulls6Wolf Pack2BLSommaire du match
14 - 2022-10-2064Barracuda1Wolf Pack2BWSommaire du match
17 - 2022-10-2389Monsters2Wolf Pack0BLSommaire du match
19 - 2022-10-2599Eagles1Wolf Pack9BWSommaire du match
20 - 2022-10-26108Wolf Pack3Islanders2AWSommaire du match
23 - 2022-10-29127Wolf Pack9Stars0AWSommaire du match
24 - 2022-10-30141Wolf Pack3Roadrunners2AWSommaire du match
26 - 2022-11-01149Phantoms1Wolf Pack2BWSommaire du match
28 - 2022-11-03161Bruins5Wolf Pack3BLSommaire du match
31 - 2022-11-06190Griffins1Wolf Pack0BLXSommaire du match
33 - 2022-11-08198Islanders1Wolf Pack5BWSommaire du match
35 - 2022-11-10217Wolf Pack5Griffins1AWSommaire du match
37 - 2022-11-12232Wolf Pack8Admirals2AWSommaire du match
38 - 2022-11-13240Roadrunners2Wolf Pack1BLSommaire du match
42 - 2022-11-17271Wolf Pack11Firebirds3AWSommaire du match
44 - 2022-11-19288Wolf Pack5Barracuda6ALSommaire du match
47 - 2022-11-22302Wolf Pack2Reign3ALSommaire du match
48 - 2022-11-23314Wolf Pack1Gulls5ALSommaire du match
51 - 2022-11-26332Condors1Wolf Pack10BWSommaire du match
53 - 2022-11-28346Comets2Wolf Pack3BWSommaire du match
55 - 2022-11-30362Wolf Pack4Senators3AWSommaire du match
57 - 2022-12-02376Senators3Wolf Pack1BLSommaire du match
58 - 2022-12-03387IceHogs6Wolf Pack8BWSommaire du match
60 - 2022-12-05398Thunderbirds3Wolf Pack7BWSommaire du match
62 - 2022-12-07417Wolf Pack2Silver Knights3ALXXSommaire du match
64 - 2022-12-09430Wolf Pack11Eagles1AWSommaire du match
67 - 2022-12-12450Comets3Wolf Pack5BWSommaire du match
70 - 2022-12-15476Marlies4Wolf Pack2BLSommaire du match
72 - 2022-12-17489Wolf Pack3Phantoms2AWSommaire du match
73 - 2022-12-18499Wolf Pack8IceHogs4AWSommaire du match
75 - 2022-12-20511Wolf Pack3Penguins2AWXSommaire du match
77 - 2022-12-22527Islanders3Wolf Pack4BWXSommaire du match
82 - 2022-12-27549Bears0Wolf Pack7BWSommaire du match
84 - 2022-12-29565Wolf Pack3Crunch4ALSommaire du match
87 - 2023-01-01591Wolf Pack6Checkers3AWSommaire du match
89 - 2023-01-03600Wolves2Wolf Pack10BWSommaire du match
91 - 2023-01-05613Wolf Pack10Rocket1AWSommaire du match
93 - 2023-01-07628Wolf Pack3Comets1AWSommaire du match
96 - 2023-01-10649Wild1Wolf Pack5BWSommaire du match
98 - 2023-01-12663Stars2Wolf Pack9BWSommaire du match
101 - 2023-01-15691Rocket2Wolf Pack7BWSommaire du match
102 - 2023-01-16701Wolf Pack5Monsters6ALXXSommaire du match
105 - 2023-01-19718Bruins2Wolf Pack4BWSommaire du match
109 - 2023-01-23751Checkers1Wolf Pack6BWSommaire du match
111 - 2023-01-25767Wolf Pack4Marlies3AWXXSommaire du match
113 - 2023-01-27784Silver Knights3Wolf Pack2BLSommaire du match
123 - 2023-02-06809Wranglers-Wolf Pack-
125 - 2023-02-08819Canucks-Wolf Pack-
127 - 2023-02-10828Firebirds-Wolf Pack-
128 - 2023-02-11841Wolf Pack-Wolves-
132 - 2023-02-15869Wolf Pack-Canucks-
134 - 2023-02-17881Wolf Pack-Condors-
135 - 2023-02-18891Wolf Pack-Wranglers-
137 - 2023-02-20907Moose-Wolf Pack-
140 - 2023-02-23925Wolf Pack-Griffins-
142 - 2023-02-25937Wolf Pack-Bears-
143 - 2023-02-26950Reign-Wolf Pack-
146 - 2023-03-01968Wolf Pack-Phantoms-
147 - 2023-03-02976Senators-Wolf Pack-
149 - 2023-03-04991Wolf Pack-Bruins-
154 - 2023-03-091028Wolf Pack-Rocket-
156 - 2023-03-111040Wolf Pack-Americans-
157 - 2023-03-121054Wolf Pack-Penguins-
159 - 2023-03-141067Bears-Wolf Pack-
161 - 2023-03-161082Penguins-Wolf Pack-
163 - 2023-03-181103Penguins-Wolf Pack-
164 - 2023-03-191112Admirals-Wolf Pack-
166 - 2023-03-211120Wolves-Wolf Pack-
168 - 2023-03-231138Wolf Pack-Wolves-
170 - 2023-03-251156Wolf Pack-Checkers-
173 - 2023-03-281176Monsters-Wolf Pack-
175 - 2023-03-301191Wolf Pack-Comets-
176 - 2023-03-311200Wolf Pack-Americans-
178 - 2023-04-021217Wolf Pack-Bears-
181 - 2023-04-051241Crunch-Wolf Pack-
182 - 2023-04-061251Wolf Pack-Thunderbirds-
184 - 2023-04-081264Wolf Pack-Monsters-
186 - 2023-04-101276Americans-Wolf Pack-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
189 - 2023-04-131304Marlies-Wolf Pack-



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
-17 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,110,872$ 1,799,000$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,110,872$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 74 9,519$ 704,406$




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
3823333024552222041841181402241121992241151900214101105-48922238360538081656924990792835846262080589415963205216.25%3755784.80%31285262848.90%1343283847.32%574122446.90%1948132519776251057522
4824724013342601897141268011321358946412116002021251002510926047873838096857530730996961108623477001429189559710016.75%5659283.72%61932328858.76%1650284857.94%754125660.03%2132146517976311037536
58247200316530419910541241000043162103594123100312214296461183045458493801159585300209589471058201660060719022285725.00%2685081.34%21780298859.57%1251221956.38%776128860.25%2299167216675391018543
682552201121356216140412613010101701096141299001111861077911835664410000301541148536710119413041166275876564821222003819.00%2784783.09%41982326760.67%1724301857.12%794132959.74%2138153517805651023529
782422801362309214954123110124016499654119170012214511530103309544853280115929533730107411451123300788459623291894121.69%2555080.39%61620312151.91%1514313448.31%681134450.67%2100149318345611035535
88246260034335922613341278002221859194411918001211741353910635966210212701521049937330124012301240251775445320201663018.07%2074379.23%51895316359.91%1580270558.41%795133559.55%230117091671515991530
9823434043433152625341162001121149128214118140322216613432903155628773301208510231770101510741056295582448919962175525.35%1984975.25%31753309756.60%1582298553.00%730137952.94%2097151518575551017519
1082373404124302269334121140111315312132411620030111491481913025548560310310291830831029996103249281677344619812045627.45%2044776.96%21599305752.31%1492288151.79%688135850.66%2024143219045781034523
11493112021122381231152617701100120625823145010121186157712384346721210664653208265267973426151342019811271082119.44%911583.52%2942175653.64%816154352.88%43384051.55%12909421054325615315
Total Saison régulière70537223301820332926651902763354198105081021121359901458351174128010101217130610013058952665480674711750209999796621276931681894492627650225496525576016968222945020.19%244145081.56%33147882636556.09%129522417153.58%62251135354.83%183331309115545489888304556
Séries éliminatoires
41275000003023752300000111107520000019127143055850201559365010710314635899182304961616.67%791383.54%225246154.66%24344254.98%8817051.76%2891882979916081
5514000001318-53120000079-22020000069-321325381000751510545142148404511017211.76%17382.35%010417260.47%7915451.30%398346.99%13194110356533
6844000002229-7422000001016-6422000001213-182237590006942520859060331847224425520.00%34682.35%012428443.66%15634345.48%5514039.29%1871242166511456
8199100000064613835000002426-21165000004035518641181820002614226980233217240654208130463511121.57%52492.31%039572154.79%35869951.22%16530853.57%451313466140244118
Total Séries éliminatoires44212300000129131-220812000005262-1024131100000776984212923536412047354014660479461488149143142911211893417.99%1822685.71%2875163853.42%836163851.04%34770149.50%10607211091342585289