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Wolves
GP: 69 | W: 50 | L: 16 | OTL: 3 | P: 103
GF: 343 | GA: 164 | PP%: 27.88% | PK%: 84.48%
DG: Neil | Morale : 50 | Moyenne d’équipe : 59
Prochains matchs #1124 vs Ice Hogs
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Centre de jeu
Griffins
39-29-2, 80pts
2
FINAL
3 Wolves
50-16-3, 103pts
Team Stats
L3StreakW3
20-14-1Home Record26-7-1
19-15-1Away Record24-9-2
6-4-0Last 10 Games6-4-0
4.87Buts par match 4.97
3.31Buts contre par match 2.38
17.22%Pourcentage en avantage numérique27.88%
76.14%Pourcentage en désavantage numérique84.48%
Griffins
39-29-2, 80pts
2
FINAL
6 Wolves
50-16-3, 103pts
Team Stats
L3StreakW3
20-14-1Home Record26-7-1
19-15-1Away Record24-9-2
6-4-0Last 10 Games6-4-0
4.87Buts par match 4.97
3.31Buts contre par match 2.38
17.22%Pourcentage en avantage numérique27.88%
76.14%Pourcentage en désavantage numérique84.48%
Wolves
50-16-3, 103pts
2024-04-08
Ice Hogs
8-60-1, 17pts
Statistiques d’équipe
W3SéquenceL12
26-7-1Fiche domicile4-31-0
24-9-2Fiche visiteur4-29-1
6-4-010 derniers matchs0-10-0
4.97Buts par match 1.80
2.38Buts contre par match 1.80
27.88%Pourcentage en avantage numérique8.13%
84.48%Pourcentage en désavantage numérique76.00%
Wild
69-0-1, 139pts
2024-04-09
Wolves
50-16-3, 103pts
Statistiques d’équipe
W13SéquenceW3
35-0-0Fiche domicile26-7-1
34-0-1Fiche visiteur24-9-2
10-0-010 derniers matchs6-4-0
6.26Buts par match 4.97
1.34Buts contre par match 4.97
20.70%Pourcentage en avantage numérique27.88%
89.73%Pourcentage en désavantage numérique84.48%
Ice Hogs
8-60-1, 17pts
2024-04-10
Wolves
50-16-3, 103pts
Statistiques d’équipe
L12SéquenceW3
4-31-0Fiche domicile26-7-1
4-29-1Fiche visiteur24-9-2
0-10-010 derniers matchs6-4-0
1.80Buts par match 4.97
7.20Buts contre par match 4.97
8.13%Pourcentage en avantage numérique27.88%
76.00%Pourcentage en désavantage numérique84.48%
Meneurs d'équipe
Buts
Will Cuylle
45
Passes
Isaak Phillips
71
Points
William Eklund
87
Plus/Moins
Ronan Seeley
69
Victoires
Hugo Alnefelt
49
Pourcentage d’arrêts
Hugo Alnefelt
0.889

Statistiques d’équipe
Buts pour
343
4.97 GFG
Tirs pour
2150
31.16 Avg
Pourcentage en avantage numérique
27.9%
63 GF
Début de zone offensive
40.8%
Buts contre
164
2.38 GAA
Tirs contre
1399
20.28 Avg
Pourcentage en désavantage numérique
84.5%%
43 GA
Début de la zone défensive
34.8%
Informations de l'équipe

Directeur généralNeil
EntraîneurDallas Eakins
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,885
Billets de saison0


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 50
Espoirs50


Historique d'équipe

Saison actuelle50-16-3 (103PTS)
Historique0-0-0
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
1Will Cuylle (R)X100.007879776479788262505565666244446650620222902,500$
2William Eklund (R)XX100.0067637777636667648061626159454564506102111,775,000$
3Gage Goncalves (R)X100.006962856362828762506456615344446250610233919,167$
4Daniil Gushchin (R)X100.006758886758747861505760605744446350600222902,500$
5Xavier Bourgault (R)X100.0072649168647276607557586255444462506002131,167,500$
6Dylan Holloway (R)XX100.008157846174556464406157602549496250590222925,000$
7Fabian Lysell (R)X100.0066627565626769635061616058444463505902131,034,167$
8Tyler Tullio (R)X100.006960906760758056505058605544446150580223833,333$
9Isaak Phillips (R)X100.008287906474678359255948802545456450660223925,000$
10Philip BrobergX100.0067439883766071622551477325525361506502321,713,333$
11Zachary JonesX100.006141917064688360254548707547475950620232925,000$
12Ty Emberson (R)X100.007772876372748051254642624044445650600241925,000$
13Jack Thompson (R)X100.007365916465768449254042604044445450590223902,500$
14Ronan Seeley (R)X100.007465956465717751254641613944445550590223837,500$
15Samuel Knazko (R)X100.007670896470616452255039623744445450580223902,500$
16Kaedan Korczak (R)X100.007173677373667148253941593945455350580231925,000$
17Daemon Hunt (R)X100.007771926771596346253740613844445250570223902,500$
Rayé
1Jayden Struble (R)X100.008175956775525445253639633744445250570233925,000$
2Tristian Luneau (R)X100.008074946974373549614746634444445450560193950,000$
3Donovan Sebrango (R)X100.007469856369646946253443604144445250560221925,000$
4Ryan Johnson (R)X100.007463995963545551254741613944445350550213925,000$
5Albert Johansson (R)X100.006762796462657048253942574044445250550233919,167$
6Stanislav Svozil (R)X100.005555555555555555555555555555555555541223880,000$
7Jackson Lacombe (R)X100.0070707160705254482539425840444451505402231,387,500$
MOYENNE D’ÉQUIPE100.00726585666865705538494962454545585059
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
1Hugo Alnefelt (R)100.00544759745658545959583044445650560231925,000$
Rayé
MOYENNE D’ÉQUIPE100.0054475974565854595958304444565056
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dallas Eakins82837779817667USA542550,000$


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
1William EklundWolves (CAR)LW/RW693552876122044772176216616.13%12111316.14571222127000007168.12%6900001.5600000545
2Isaak PhillipsWolves (CAR)D69147185471061024558126476111.11%77151221.9291423761620221176210.00%000001.1200101166
3Will CuylleWolves (CAR)LW69453782626010138752395615018.83%4112616.333811241270000114061.29%6200031.4600001657
4Jonatan BerggrenHurricanesC/LW/RW525229814012072802455817421.22%1492817.85111425381371013748155.66%10600141.7501000845
5Philip BrobergWolves (CAR)D6914536735200434288457415.91%51124318.0371522571661011207210.00%000001.0800000232
6Daniil GushchinWolves (CAR)LW693135665430067881995314615.58%890213.08000020112694154.00%5000021.4600000622
7Ronan SeeleyWolves (CAR)D64105262695201443751123719.61%58108416.9511223101186100.00%000001.1400000238
8Zachary JonesWolves (CAR)D691544593820040411224910512.30%80137419.9291120721740111209210.00%000000.8600000016
9Jean-Luc FoudyHurricanesC523226584230059791764112418.18%171513.75325732000034272.33%61800011.6200000422
10Ty EmbersonWolves (CAR)D64727343810551683370284110.00%48124419.445914391660000167110.00%000000.5500001121
11Xavier BourgaultWolves (CAR)C6917926152003570118388714.41%84326.2700025000004172.26%32800001.2000000211
12Fabian LysellWolves (CAR)RW21771411140211453124313.21%129313.9500001000000066.67%600000.9600000010
13Philipp KurashevHurricanesC72799003142092910.00%116223.201123140110290069.33%15000001.1100000010
14Dylan HollowayWolves (CAR)C/LW5022100244120.00%2387.6500002000080059.38%3200001.0500000000
15Samuel KnazkoWolves (CAR)D3011600603120.00%25317.970000000005000.00%000000.3700000000
16Tyler TullioWolves (CAR)RW31011000142225.00%0186.070000000000010.00%000001.1000000000
17Jack ThompsonWolves (CAR)D800061351103320.00%110513.130000400008000.00%000000.00%00010000
Statistiques d’équipe totales ou en moyenne7622824527345355043010987131738517124516.23%3681234916.215482136342113135891058391169.11%1421001101.1901113373545
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
1Hugo AlnefeltWolves (CAR)69491330.8892.1939448514412990300.6673690121
Statistiques d’équipe totales ou en moyenne69491330.8892.1939448514412990303690121


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
Albert JohanssonWolves (CAR)D232001-04-01Yes168 Lbs6 ft0NoNoNo3Pro & Farm919,167$18,855$0$0$No919,167$919,167$Lien
Daemon HuntWolves (CAR)D222002-05-15Yes198 Lbs6 ft0NoNoNo3Pro & Farm902,500$18,513$0$0$No902,500$902,500$Lien
Daniil GushchinWolves (CAR)LW222002-06-02Yes165 Lbs5 ft8NoNoNo2Pro & Farm902,500$18,513$0$0$No902,500$Lien
Donovan SebrangoWolves (CAR)D222002-01-12Yes189 Lbs6 ft1NoNoNo1Pro & Farm925,000$18,974$0$0$NoLien
Dylan HollowayWolves (CAR)C/LW222001-09-23Yes203 Lbs6 ft1NoNoNo2Pro & Farm925,000$18,974$0$0$No925,000$Lien
Fabian LysellWolves (CAR)RW212003-01-19Yes172 Lbs5 ft10NoNoNo3Pro & Farm1,034,167$21,214$0$0$No1,034,167$1,034,167$Lien
Gage GoncalvesWolves (CAR)C232001-01-16Yes165 Lbs6 ft0NoNoNo3Pro & Farm919,167$18,855$0$0$No919,167$919,167$Lien
Hugo AlnefeltWolves (CAR)G232001-06-04Yes183 Lbs6 ft3NoNoNo1Pro & Farm925,000$18,974$0$0$NoLien
Isaak PhillipsWolves (CAR)D222001-09-28Yes193 Lbs6 ft2NoNoNo3Pro & Farm925,000$18,974$0$0$No925,000$925,000$Lien
Jack ThompsonWolves (CAR)D222002-03-19Yes178 Lbs6 ft0NoNoNo3Pro & Farm902,500$18,513$0$0$No902,500$902,500$Lien
Jackson LacombeWolves (CAR)D222001-08-22Yes190 Lbs6 ft0NoNoNo3Pro & Farm1,387,500$28,462$0$0$No1,387,500$1,387,500$Lien
Jayden StrubleWolves (CAR)D232001-04-11Yes209 Lbs6 ft1NoNoNo3Pro & Farm925,000$18,974$0$0$No925,000$925,000$Lien
Kaedan KorczakWolves (CAR)D232001-01-29Yes192 Lbs6 ft3NoNoNo1Pro & Farm925,000$18,974$0$0$NoLien
Philip BrobergWolves (CAR)D232001-06-25No200 Lbs6 ft3NoNoNo2Pro & Farm1,713,333$35,145$0$0$No1,713,333$Lien
Ronan SeeleyWolves (CAR)D222002-02-08Yes176 Lbs6 ft0NoNoNo3Pro & Farm837,500$17,179$0$0$No837,500$837,500$Lien
Ryan JohnsonWolves (CAR)D212003-02-14Yes176 Lbs5 ft10NoNoNo3Pro & Farm925,000$18,974$0$0$No925,000$925,000$Lien / Lien NHL
Samuel KnazkoWolves (CAR)D222002-07-08Yes191 Lbs6 ft0NoNoNo3Pro & Farm902,500$18,513$0$0$No902,500$902,500$Lien
Stanislav SvozilWolves (CAR)D222002-03-19 10:56:03 AMYes214 Lbs6 ft4NoNoNo3Pro & Farm880,000$18,051$0$0$No880,000$880,000$
Tristian LuneauWolves (CAR)D192004-12-15Yes205 Lbs6 ft0NoNoNo3Pro & Farm950,000$19,487$0$0$No950,000$950,000$Lien
Ty EmbersonWolves (CAR)D242000-05-24Yes195 Lbs6 ft1NoNoNo1Pro & Farm925,000$18,974$0$0$NoLien
Tyler TullioWolves (CAR)RW222002-05-04Yes165 Lbs5 ft10NoNoNo3Pro & Farm833,333$17,094$0$0$No833,333$833,333$Lien
Will CuylleWolves (CAR)LW222002-05-02Yes204 Lbs6 ft3NoNoNo2Pro & Farm902,500$18,513$0$0$No902,500$Lien
William EklundWolves (CAR)LW/RW212002-12-10Yes176 Lbs5 ft10NoNoNo1Pro & Farm1,775,000$36,410$0$0$NoLien
Xavier BourgaultWolves (CAR)C212002-10-22Yes172 Lbs6 ft0NoNoNo3Pro & Farm1,167,500$23,949$0$0$No1,167,500$1,167,500$Lien
Zachary JonesWolves (CAR)D232000-10-18No175 Lbs5 ft11NoNoNo2Pro & Farm925,000$18,974$0$0$No925,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2522.08186 Lbs6 ft02.401,010,167$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Will CuylleWilliam Eklund30122
3Daniil Gushchin20122
4Xavier Bourgault10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsPhilip Broberg40122
2Zachary JonesTy Emberson30122
3Ronan Seeley20122
4Isaak Phillips10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Will CuylleWilliam Eklund40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsPhilip Broberg60122
2Zachary JonesTy Emberson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsPhilip Broberg60122
2Zachary JonesTy Emberson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Isaak PhillipsPhilip Broberg60122
240122Zachary JonesTy Emberson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak PhillipsPhilip Broberg60122
2Zachary JonesTy Emberson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Isaak PhillipsPhilip Broberg
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Isaak PhillipsPhilip Broberg
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Xavier Bourgault, Daniil Gushchin, Xavier BourgaultDaniil Gushchin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Ronan Seeley, Ronan Seeley,
Tirs de pénalité
, , , ,
Gardien
#1 : Hugo Alnefelt, #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , Will Cuylle, Will Cuylle, William Eklund, Xavier Bourgault, Daniil Gushchin,
Lignes de défense personnalisées en prolongation
Isaak Phillips, Philip Broberg, Zachary Jones, Ty Emberson,


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
1Admirals12102000007542336510000038221665100000372017200.83375130205001351248133066817107461628773129219491938.78%551278.18%0940181151.91%635154241.18%527108348.66%210916471312370735415
2Griffins844000003033-34310000016115413000001422-880.50030497900135124813186681710746162157580152351028.57%37781.08%0940181151.91%635154241.18%527108348.66%210916471312370735415
3Gulls421001001385211000006422100010074350.625132538001351248131116817107461691193810615213.33%19478.95%0940181151.91%635154241.18%527108348.66%210916471312370735415
4Ice Hogs10100000007196255000000385335500000033429201.000711181890113512481346368171074616129376322115533.33%28196.43%1940181151.91%635154241.18%527108348.66%210916471312370735415
5Monsters842020003228442101000161424210100016142120.7503256880013512481321268171074616190598115630826.67%37683.78%0940181151.91%635154241.18%527108348.66%210916471312370735415
6Moose852010002714134310000017611421010001082120.7502742690113512481320868171074616184578115923730.43%32584.38%0940181151.91%635154241.18%527108348.66%210916471312370735415
7Roadrunners44000000332312200000018018220000001521381.0003354870213512481321468171074616461630824250.00%140100.00%3940181151.91%635154241.18%527108348.66%210916471312370735415
8Stars880000005294344000000255204400000027423161.0005291143011351248133336817107461689254214218633.33%20290.00%0940181151.91%635154241.18%527108348.66%210916471312370735415
9Wild705001011019-93020000125-340300100814-620.1431018280013512481311768171074616168597512237410.81%35682.86%0940181151.91%635154241.18%527108348.66%210916471312370735415
Total69471603201343164179342570100117672104352290220016792751030.74634358392605135124813215068171074616139942061913592266327.88%2774384.48%4940181151.91%635154241.18%527108348.66%210916471312370735415
_Since Last GM Reset69471603201343164179342570100117672104352290220016792751030.74634358392605135124813215068171074616139942061913592266327.88%2774384.48%4940181151.91%635154241.18%527108348.66%210916471312370735415
_Vs Conference168602000626118520100032257834010003036-6200.625621051670013512481339868171074616405134161308651827.69%741382.43%0940181151.91%635154241.18%527108348.66%210916471312370735415
_Vs Division80000000322844000000016142400000001614200.0003256880013512481321268171074616190598115630826.67%37683.78%0940181151.91%635154241.18%527108348.66%210916471312370735415

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
69103W334358392621501399420619135905
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6947163201343164
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
34257100117672
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
35229220016792
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2266327.88%2774384.48%4
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
68171074616135124813
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
940181151.91%635154241.18%527108348.66%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
210916471312370735415


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 - 2023-10-0323Admirals2Wolves5BWSommaire du match
9 - 2023-10-0731Stars1Wolves6BWSommaire du match
12 - 2023-10-1054Wolves4Ice Hogs1AWSommaire du match
13 - 2023-10-1162Stars1Wolves5BWSommaire du match
16 - 2023-10-1470Wolves3Wild4ALXSommaire du match
19 - 2023-10-1794Monsters6Wolves7BWXSommaire du match
25 - 2023-10-23121Wolves9Roadrunners1AWSommaire du match
26 - 2023-10-24136Wolves6Roadrunners1AWSommaire du match
33 - 2023-10-31168Wild2Wolves1BLXXSommaire du match
34 - 2023-11-01177Ice Hogs1Wolves7BWSommaire du match
37 - 2023-11-04185Wolves5Griffins4AWSommaire du match
40 - 2023-11-07212Wolves7Admirals3AWSommaire du match
41 - 2023-11-08220Admirals8Wolves5BLSommaire du match
46 - 2023-11-13247Wolves7Gulls3AWSommaire du match
47 - 2023-11-14261Wolves0Gulls1ALXSommaire du match
51 - 2023-11-18271Wolves2Griffins3ALSommaire du match
54 - 2023-11-21298Gulls1Wolves5BWSommaire du match
55 - 2023-11-22307Gulls3Wolves1BLSommaire du match
60 - 2023-11-27323Wolves8Stars2AWSommaire du match
61 - 2023-11-28339Wolves8Stars1AWSommaire du match
64 - 2023-12-01349Wolves2Wild3ALSommaire du match
68 - 2023-12-05374Stars1Wolves7BWSommaire du match
69 - 2023-12-06383Ice Hogs1Wolves9BWSommaire du match
71 - 2023-12-08387Moose2Wolves7BWSommaire du match
74 - 2023-12-11409Wolves6Admirals2AWSommaire du match
75 - 2023-12-12421Admirals4Wolves8BWSommaire du match
79 - 2023-12-16432Wolves6Admirals3AWSommaire du match
81 - 2023-12-18446Griffins2Wolves3BWSommaire du match
82 - 2023-12-19459Monsters6Wolves3BLSommaire du match
85 - 2023-12-22469Stars2Wolves7BWSommaire du match
88 - 2023-12-25481Roadrunners0Wolves10BWSommaire du match
89 - 2023-12-26496Roadrunners0Wolves8BWSommaire du match
96 - 2024-01-02540Wolves3Stars0AWSommaire du match
97 - 2024-01-03547Wolves8Stars1AWSommaire du match
102 - 2024-01-08571Wolves6Ice Hogs1AWSommaire du match
106 - 2024-01-12596Wolves2Moose1AWXSommaire du match
107 - 2024-01-13603Wolves4Moose3AWSommaire du match
110 - 2024-01-16631Admirals2Wolves7BWSommaire du match
111 - 2024-01-17639Moose3Wolves4BWSommaire du match
115 - 2024-01-21652Wolves5Monsters4AWXSommaire du match
117 - 2024-01-23668Wolves5Monsters7ALSommaire du match
124 - 2024-01-30706Wolves8Ice Hogs0AWSommaire du match
127 - 2024-02-02713Wolves6Admirals7ALSommaire du match
130 - 2024-02-05730Wolves8Ice Hogs1AWSommaire du match
131 - 2024-02-06740Monsters1Wolves2BWSommaire du match
132 - 2024-02-07751Monsters1Wolves4BWSommaire du match
136 - 2024-02-11769Admirals2Wolves7BWSommaire du match
138 - 2024-02-13790Wolves4Admirals2AWSommaire du match
139 - 2024-02-14800Wild2Wolves1BLSommaire du match
144 - 2024-02-19818Wolves3Monsters1AWSommaire du match
145 - 2024-02-20829Wolves3Monsters2AWSommaire du match
151 - 2024-02-26861Wolves4Griffins8ALSommaire du match
152 - 2024-02-27879Ice Hogs1Wolves6BWSommaire du match
153 - 2024-02-28886Admirals4Wolves6BWSommaire du match
158 - 2024-03-04911Moose1Wolves0BLSommaire du match
159 - 2024-03-05922Moose0Wolves6BWSommaire du match
160 - 2024-03-06932Wild1Wolves0BLSommaire du match
163 - 2024-03-09945Wolves7Ice Hogs1AWSommaire du match
165 - 2024-03-11956Wolves1Wild3ALSommaire du match
166 - 2024-03-12967Wolves2Wild4ALSommaire du match
170 - 2024-03-16991Ice Hogs1Wolves8BWSommaire du match
172 - 2024-03-181002Griffins5Wolves4BLSommaire du match
173 - 2024-03-191015Ice Hogs1Wolves8BWSommaire du match
177 - 2024-03-231029Wolves3Griffins7ALSommaire du match
180 - 2024-03-261045Wolves3Moose2AWSommaire du match
181 - 2024-03-271062Wolves1Moose2ALSommaire du match
186 - 2024-04-011083Wolves8Admirals3AWSommaire du match
187 - 2024-04-021098Griffins2Wolves3BWSommaire du match
188 - 2024-04-031105Griffins2Wolves6BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
193 - 2024-04-081124Wolves-Ice Hogs-
194 - 2024-04-091138Wild-Wolves-
195 - 2024-04-101149Ice Hogs-Wolves-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets500
Assistance66,07232,007
Assistance PCT97.16%94.14%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 2885 - 96.16% 97,165$3,303,600$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,994,969$ 2,525,417$ 2,525,417$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,951$ 2,456,194$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
194,329$ 4 15,771$ 63,084$




Wolves 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

Wolves 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

Wolves 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

Wolves 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

Wolves 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