Version obsolète du STHS! Veuillez mettre à jour votre version!
Connexion

Wolves
GP: 80 | W: 36 | L: 32 | OTL: 12 | P: 84
GF: 300 | GA: 337 | PP%: 20.49% | PK%: 81.27%
DG: Eric Lamonde | Morale : 27 | Moyenne d’équipe : 61
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Wolves
36-32-12, 84pts
3
FINAL
5 Devils
49-26-5, 103pts
Team Stats
SOL1StreakW4
16-16-8Home Record24-13-3
20-16-4Away Record25-13-2
5-2-3Last 10 Games9-1-0
3.75Buts par match 4.73
4.21Buts contre par match 4.09
20.49%Pourcentage en avantage numérique21.24%
81.27%Pourcentage en désavantage numérique82.72%
Wolves
36-32-12, 84pts
2
FINAL
3 Sound Tigers
43-31-6, 92pts
Team Stats
SOL1StreakSOW1
16-16-8Home Record21-18-1
20-16-4Away Record22-13-5
5-2-3Last 10 Games4-4-2
3.75Buts par match 4.33
4.21Buts contre par match 4.09
20.49%Pourcentage en avantage numérique21.75%
81.27%Pourcentage en désavantage numérique80.99%
Meneurs d'équipe
Buts
Thomas Spelling
47
Passes
Frederick Gaudreau
56
Points
Frederick Gaudreau
89
Plus/Moins
Dylan Coghlan
6
Victoires
Ebbe Siönäs
28
Pourcentage d’arrêts
Ebbe Siönäs
0.891

Statistiques d’équipe
Buts pour
300
3.75 GFG
Tirs pour
2606
32.58 Avg
Pourcentage en avantage numérique
20.5%
59 GF
Début de zone offensive
37.0%
Buts contre
337
4.21 GAA
Tirs contre
2798
34.98 Avg
Pourcentage en désavantage numérique
81.3%%
59 GA
Début de la zone défensive
35.9%
Informations de l'équipe

Directeur généralEric Lamonde
EntraîneurPaul Maurice
DivisionMax-Sillig
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,741
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 250
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
1Frederick Gaudreau (R)X100.0067478765748780736474657166575151447002431,000,000$
2Cedric Paquette (R)X100.008864826780628577647067576858504251690242700,000$
3Antti Suomela (R)X100.007439707681657664687370586949495547670234800,000$
4Jake Evans (R)X100.006841747464667074747268566344455436670211500,000$
5Thomas Spelling (R)X100.006431797767677280606371587252493349670241500,000$
6Eric Robinson (R)X100.005930777268707068636276496854485047650222500,000$
7Fredrik Olofsson (R)X100.007142616466557568626960565545444850620212500,000$
8Wade Allison (R)X100.005529776662636766615971476044445325610201500,000$
9Liam O'Brien (R)X100.007858747080548855666154425548514147600231500,000$
10Sasha Chmelevski (R)X100.005324686149556359727263394840408032570182500,000$
11Jonah Gadjovich (R)X100.006241595775437064485264415142437040560192500,000$
12Maksim Sushko (R)X100.004723703758646362484772325940407747530182500,000$
13Parker Kelly (R)X100.005723674357505959565258315440405944510182500,000$
14Stelio Mattheos (R)X100.005633695148516055464747515640406647510182500,000$
15Joona Koppanen (R)X100.005932525263416449445848475241415825500191500,000$
16Jakub Zboril (R)X100.006841797269666869477263715645446445680204800,000$
17Corey Shueneman (R)X100.007147796857766668447456735646485533680222500,000$
18Samuel Girard (R)X100.005427797461586475408357664542426847650191500,000$
19Dylan Coghlan (R)X100.005429845860626756406550684642427019600191500,000$
20Matthew Kiersted (R)X100.005236845865606652266236643642435717590192500,000$
21Kyle Capobianco (R)X100.005534746945565467356547544242424850570201500,000$
22Jack Ahcan (R)X100.005429715660586248195237683542454853560201500,000$
Rayé
1Hayden Hodgson (R)X100.007430937168686650366947844344465814650212500,000$
2Jalen Chatfield (R)X100.008050716886745957396855724746466315690211500,000$
MOYENNE D’ÉQUIPE100.00633774646561686351645856544545573961
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
1Ukko-Pekka Luukkonen (R)100.00467455555965588275644440407647620182500,000$
2Ian Scott (R)100.00554144505342394758435940407018480181500,000$
Rayé
1Ebbe Siönäs100.00537764636366707681736449464545680222800,000$
MOYENNE D’ÉQUIPE100.0051645456585856687160564342643759
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice73946168788261Can504500,000$


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
1Thomas SpellingWolves (Veg)RW80474289-1242101137533610020813.99%39138717.35111728582170114502147.19%898215021.2807002582
2Frederick GaudreauWolves (Veg)C58335689-8175991282315511614.29%43131822.73718253418421351895047.51%18692339011.3525010494
3Cedric PaquetteWolves (Veg)C80324880-103551571512278213014.10%36149518.69712191820810191712244.84%13943727021.07512001624
4Eric RobinsonWolves (Veg)LW803237693660130922025713015.84%34165220.6698172223310151584350.74%1365331010.8303000223
5Antti SuomelaWolves (Veg)C80273158-135001191212316611911.69%34121715.222810109201141214047.99%9714719000.9548000331
6Jake EvansWolves (Veg)C76232750026081971825710612.64%1596312.6763913691235753253.98%5283527011.0402000213
7Jakub ZborilWolves (Veg)D76123648-1158109315612958789.30%117186824.59471122233033023722100.00%14762000.5100101222
8Fredrik OlofssonWolves (Veg)LW77182139-1569513985137547113.14%22107714.001012702024792150.00%362115010.7200001412
9Samuel GirardWolves (Veg)D8023133-17380519610943531.83%72144918.1215691410111155200.00%03135000.4600000001
10Jalen ChatfieldWolves (Veg)D6442428-246551211188035405.00%101161825.2922492010000205000.00%01759000.3500010104
11Wade AllisonWolves (Veg)RW67171027-142204755137385912.41%1188413.20235692000032152.50%402712010.6101000031
12Hayden HodgsonWolves (Veg)LW51518230008075558339.09%2284216.5216791280000312027.27%551122000.5500000002
13Corey ShuenemanWolves (Veg)D68318213360721197724253.90%73143321.0804481720221173000.00%02159000.2900000001
14Anton LindholmGolden KnightsD3121719-1018053666721212.99%5778925.461231188011183000.00%01633000.4801000001
15Dylan CoghlanWolves (Veg)D762131568032855124233.92%75101213.32101141000064110.00%0335000.3000000010
16Christopher TanevGolden KnightsD2741115-210030444815238.33%6477528.714377117011191000.00%01319000.3900000000
17Maksim SushkoWolves (Veg)RW806713-5240221842102514.29%97829.7800007000000020.00%2087000.3301000000
18Jonah GadjovichWolves (Veg)LW588311-13200612643192318.60%75479.43000010000200046.15%1345000.4000000011
19Kyle RauGolden KnightsC4437-2001111951021.05%29523.931233120000160061.81%14441001.4611000000
20Parker KellyWolves (Veg)LW78437140263173923.53%12923.74000010000250140.00%2010000.4800000001
21Kyle CapobiancoWolves (Veg)D65156-13601639281073.57%4572511.16011017000042000.00%0413000.1700000000
22Liam O'BrienWolves (Veg)C7824611204119399185.13%63274.2000006000000043.82%89103000.3700000001
23Matthew KierstedWolves (Veg)D410443208268260.00%313699.0200000000032000.00%009000.2200000000
24Jack AhcanWolves (Veg)D65044-46012246930.00%213575.500000200006000.00%0014000.2200000000
25Lawson CrouseGolden KnightsLW3033-380689360.00%06521.91011170000100048.15%2721000.9101000000
26Stelio MattheosWolves (Veg)RW79033-88023211610100.00%23794.8100001000000040.00%1015000.1600000000
27Sasha ChmelevskiWolves (Veg)C63101-4000272014.29%0560.8900018000061050.00%800000.3600000000
28Joona KoppanenWolves (Veg)C52000200020000.00%0230.46000000000160028.57%700000.00%00000000
Statistiques d’équipe totales ou en moyenne1737289479768-18864040163317622533819135211.41%9392381013.7160102162244236071320402070321447.63%5457518567090.651242125293334
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
1Ebbe SiönäsWolves (Veg)63282270.8913.8432970021119301062320.667245817332
2Ukko-Pekka LuukkonenWolves (Veg)3481050.8664.46155900116866475100.550202258000
Statistiques d’équipe totales ou en moyenne973632120.8834.044856003272796153742448075332


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
Antti SuomelaWolves (Veg)C231994-01-01Yes180 Lbs6 ft0NoNoNo4Pro & Farm800,000$0$0$No975,000$1,200,000$1,800,000$Lien
Cedric PaquetteWolves (Veg)C241993-01-01Yes180 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No750,000$Lien
Corey ShuenemanWolves (Veg)D221995-01-01Yes196 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Dylan CoghlanWolves (Veg)D191998-01-01Yes190 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Ebbe SiönäsWolves (Veg)G221995-01-01No185 Lbs5 ft11NoNoNo2Pro & Farm800,000$0$0$No975,000$Lien
Eric RobinsonWolves (Veg)LW221995-01-01Yes197 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Frederick GaudreauWolves (Veg)C241993-01-01Yes179 Lbs6 ft0NoNoNo3Pro & Farm1,000,000$0$0$No1,500,000$2,000,000$Lien
Fredrik OlofssonWolves (Veg)LW211996-01-01Yes204 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Hayden HodgsonWolves (Veg)LW211996-01-01Yes220 Lbs6 ft6NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Ian ScottWolves (Veg)G181999-01-01Yes178 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Jack AhcanWolves (Veg)D201997-01-01Yes180 Lbs5 ft9NoNoNo1Farm Only500,000$0$0$NoLien
Jake EvansWolves (Veg)C211996-01-01Yes188 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Jakub ZborilWolves (Veg)D201997-01-01Yes200 Lbs6 ft0NoNoNo4Pro & Farm800,000$0$0$No975,000$2,000,000$2,500,000$Lien
Jalen ChatfieldWolves (Veg)D211996-01-01Yes187 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Jonah GadjovichWolves (Veg)LW191998-01-01Yes209 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Joona KoppanenWolves (Veg)C191998-01-01Yes205 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$NoLien
Kyle CapobiancoWolves (Veg)D201997-01-01Yes196 Lbs6 ft1NoNoNo1Farm Only500,000$0$0$NoLien
Liam O'BrienWolves (Veg)C231994-01-01Yes214 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Maksim SushkoWolves (Veg)RW181999-01-01Yes206 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Matthew KierstedWolves (Veg)D191998-01-01Yes181 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Parker KellyWolves (Veg)LW181999-01-01Yes188 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Samuel GirardWolves (Veg)D191998-01-01Yes170 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$NoLien
Sasha ChmelevskiWolves (Veg)C181999-01-01Yes188 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Stelio MattheosWolves (Veg)RW181999-01-01Yes200 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Thomas SpellingWolves (Veg)RW241993-01-01Yes176 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Ukko-Pekka LuukkonenWolves (Veg)G181999-01-01Yes217 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Wade AllisonWolves (Veg)RW201997-01-01Yes205 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2720.41193 Lbs6 ft11.78559,259$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eric RobinsonFrederick GaudreauThomas Spelling40122
2Fredrik OlofssonCedric PaquetteWade Allison30122
3Jonah GadjovichAntti SuomelaMaksim Sushko20122
4Parker KellyJake EvansStelio Mattheos10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilCorey Shueneman40122
2Samuel GirardDylan Coghlan30122
3Matthew KierstedKyle Capobianco20122
4Jack AhcanJakub Zboril10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eric RobinsonFrederick GaudreauThomas Spelling60122
2Fredrik OlofssonCedric PaquetteWade Allison40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilCorey Shueneman60122
2Samuel GirardDylan Coghlan40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Frederick GaudreauEric Robinson60122
2Cedric PaquetteFredrik Olofsson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilCorey Shueneman60122
2Samuel GirardDylan Coghlan40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Frederick Gaudreau60122Jakub ZborilCorey Shueneman60122
2Cedric Paquette40122Samuel GirardDylan Coghlan40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Frederick GaudreauEric Robinson60122
2Cedric PaquetteFredrik Olofsson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilCorey Shueneman60122
2Samuel GirardDylan Coghlan40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric RobinsonFrederick GaudreauThomas SpellingJakub ZborilCorey Shueneman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric RobinsonFrederick GaudreauThomas SpellingJakub ZborilCorey Shueneman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Evans, Eric Robinson, Fredrik OlofssonJake Evans, Eric RobinsonJake Evans
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Kiersted, Kyle Capobianco, Jack AhcanMatthew KierstedMatthew Kiersted, Kyle Capobianco
Tirs de pénalité
Frederick Gaudreau, Cedric Paquette, Thomas Spelling, Antti Suomela, Jake Evans
Gardien
#1 : Ukko-Pekka Luukkonen, #2 : Ian Scott


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
1Admirals210001001091110000005321000010056-130.750101828009410794127587289383055551910447342.86%5340.00%1881182348.33%852176848.19%649133948.47%163689417697651455712
2Barracuda210001009721000010045-11100000052330.75091524009410794126687289383055752014395240.00%7185.71%0881182348.33%852176848.19%649133948.47%163689417697651455712
3Bears933000123637-14200001117134513000011924-5100.5563655910094107941228287289383055333989717738718.42%471078.72%2881182348.33%852176848.19%649133948.47%163689417697651455712
4Comets32000100151141000010045-122000000116550.83315274200941079412958728938305511232146911327.27%7185.71%0881182348.33%852176848.19%649133948.47%163689417697651455712
5Condors211000007701010000035-21100000042220.500712190094107941265872893830555618841700.00%4175.00%0881182348.33%852176848.19%649133948.47%163689417697651455712
6Crunch330000001275110000006332200000064261.00012203200941079412838728938305510140305817635.29%15380.00%0881182348.33%852176848.19%649133948.47%163689417697651455712
7Devils615000001326-1331200000614-830300000712-520.1671323360094107941216687289383055234638211519210.53%41880.49%0881182348.33%852176848.19%649133948.47%163689417697651455712
8Eagles330000001477220000009541100000052361.00014223600941079412968728938305510736225512325.00%110100.00%1881182348.33%852176848.19%649133948.47%163689417697651455712
9Griffins21000010862110000004311000001043141.00081119009410794124987289383055672210417114.29%5180.00%0881182348.33%852176848.19%649133948.47%163689417697651455712
10Heat312000001014-41010000068-22110000046-220.33310162600941079412948728938305511132187113215.38%9188.89%0881182348.33%852176848.19%649133948.47%163689417697651455712
11Icehogs32100000171252110000011921100000063340.66717254210941079412116872893830559735226211545.45%11463.64%0881182348.33%852176848.19%649133948.47%163689417697651455712
12Little Stars311000011014-420100001611-51100000043130.5001018280094107941211387289383055120302551700.00%10280.00%0881182348.33%852176848.19%649133948.47%163689417697651455712
13Marlies2020000059-41010000023-11010000036-300.00051015009410794125687289383055652618437228.57%9277.78%0881182348.33%852176848.19%649133948.47%163689417697651455712
14Monsters20200000512-71010000028-61010000034-100.0005914009410794126087289383055582214476116.67%7185.71%0881182348.33%852176848.19%649133948.47%163689417697651455712
15Moose413000001316-32110000010912020000037-420.25013223500941079412131872893830551455026899333.33%13192.31%0881182348.33%852176848.19%649133948.47%163689417697651455712
16Penguins403000101423-920200000715-82010001078-120.25014223610941079412147872893830551356641838225.00%13376.92%0881182348.33%852176848.19%649133948.47%163689417697651455712
17Phantoms20200000715-81010000038-51010000047-300.00071219009410794127087289383055753229417228.57%12283.33%0881182348.33%852176848.19%649133948.47%163689417697651455712
18Punishers43000100201552100010099022000000116570.875202949009410794121318728938305514039387319631.58%190100.00%1881182348.33%852176848.19%649133948.47%163689417697651455712
19Rampage3210000079-22110000037-41100000042240.66771219009410794129687289383055962820536116.67%10280.00%0881182348.33%852176848.19%649133948.47%163689417697651455712
20Reign20000002911-21000000156-11000000145-120.50091322009410794127287289383055762216441100.00%8362.50%1881182348.33%852176848.19%649133948.47%163689417697651455712
21Rocket21100000912-3110000005411010000048-420.5009162500941079412668728938305568204517228.57%2150.00%0881182348.33%852176848.19%649133948.47%163689417697651455712
22Senators211000001213-11010000058-31100000075220.500121830009410794126287289383055662022349222.22%11281.82%0881182348.33%852176848.19%649133948.47%163689417697651455712
23Sound Tigers612010021622-631100001913-43010100179-260.5001625410094107941220987289383055203555113929310.34%23482.61%0881182348.33%852176848.19%649133948.47%163689417697651455712
24Thunderbirds311000011315-21000000156-12110000089-130.50013223500941079412111872893830551033418614125.00%9277.78%2881182348.33%852176848.19%649133948.47%163689417697651455712
25Wolfpack311010009812010100067-11100000031240.667915240094107941295872893830551002414681200.00%7185.71%0881182348.33%852176848.19%649133948.47%163689417697651455712
Total80313202438300337-3740141601315152187-3540171601123148150-2840.52530048778720941079412260687289383055279888366316492885920.49%3155981.27%8881182348.33%852176848.19%649133948.47%163689417697651455712
_Since Last GM Reset80313202438300337-3740141601315152187-3540171601123148150-2840.52530048778720941079412260687289383055279888366316492885920.49%3155981.27%8881182348.33%852176848.19%649133948.47%163689417697651455712
_Vs Conference50211702226179194-1525980121487108-21251290101292866580.58017929046910941079412162487289383055178454545210021823418.68%2123683.02%6881182348.33%852176848.19%649133948.47%163689417697651455712
_Vs Division21510010146585-201043000123240-81117010023345-12180.429651031680094107941265787289383055770216230431861213.95%1112280.18%2881182348.33%852176848.19%649133948.47%163689417697651455712

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8084SOL130048778726062798883663164920
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8031322438300337
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4014161315152187
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4017161123148150
Derniers 10 matchs
WLOTWOTL SOWSOL
322102
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2885920.49%3155981.27%8
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
87289383055941079412
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
881182348.33%852176848.19%649133948.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
163689417697651455712


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 - 2022-10-273Wolves5Bears6ALXXSommaire du match
4 - 2022-10-3021Bears5Wolves8BWSommaire du match
6 - 2022-11-0133Bears4Wolves3BLXXSommaire du match
8 - 2022-11-0342Wolves2Devils3ALSommaire du match
10 - 2022-11-0550Wolves6Bears5AWSommaire du match
11 - 2022-11-0658Wolves1Sound Tigers3ALR1Sommaire du match
14 - 2022-11-0975Wolves3Bears4ALSommaire du match
15 - 2022-11-1078Devils6Wolves1BLSommaire du match
19 - 2022-11-14100Sound Tigers5Wolves4BLXXR1Sommaire du match
21 - 2022-11-16115Wolves2Moose3ALSommaire du match
23 - 2022-11-18126Moose5Wolves3BLSommaire du match
27 - 2022-11-22148Eagles2Wolves3BWSommaire du match
31 - 2022-11-26164Wolves3Crunch2AWSommaire du match
33 - 2022-11-28174Rampage6Wolves1BLSommaire du match
36 - 2022-12-01192Little Stars6Wolves2BLSommaire du match
39 - 2022-12-04208Wolves3Thunderbirds5ALSommaire du match
42 - 2022-12-07219Sound Tigers2Wolves3BWR1Sommaire du match
44 - 2022-12-09230Wolves4Condors2AWSommaire du match
46 - 2022-12-11244Icehogs5Wolves9BWSommaire du match
48 - 2022-12-13251Wolves5Admirals6ALXSommaire du match
52 - 2022-12-17270Icehogs4Wolves2BLSommaire du match
55 - 2022-12-20286Wolves1Bears3ALSommaire du match
58 - 2022-12-23296Bears1Wolves2BWSommaire du match
61 - 2022-12-26310Wolves4Little Stars3AWSommaire du match
63 - 2022-12-28320Phantoms8Wolves3BLSommaire du match
67 - 2023-01-01342Wolves4Rampage2AWSommaire du match
68 - 2023-01-02350Reign6Wolves5BLXXSommaire du match
71 - 2023-01-05368Wolves6Comets3AWSommaire du match
73 - 2023-01-07375Senators8Wolves5BLSommaire du match
76 - 2023-01-10387Wolves3Wolfpack1AWSommaire du match
78 - 2023-01-12402Rocket4Wolves5BWSommaire du match
80 - 2023-01-14411Wolves5Barracuda2AWSommaire du match
83 - 2023-01-17426Griffins3Wolves4BWSommaire du match
86 - 2023-01-20444Wolves5Comets3AWSommaire du match
89 - 2023-01-23455Condors5Wolves3BLSommaire du match
91 - 2023-01-25472Wolves3Monsters4ALSommaire du match
93 - 2023-01-27481Admirals3Wolves5BWSommaire du match
95 - 2023-01-29497Wolves1Moose4ALSommaire du match
97 - 2023-01-31505Little Stars5Wolves4BLXXSommaire du match
101 - 2023-02-04527Heat8Wolves6BLSommaire du match
104 - 2023-02-07537Wolves7Senators5AWSommaire du match
106 - 2023-02-09553Marlies3Wolves2BLSommaire du match
109 - 2023-02-12569Wolves4Bears6ALSommaire du match
111 - 2023-02-14579Eagles3Wolves6BWSommaire du match
116 - 2023-02-19604Devils2Wolves3BWSommaire du match
118 - 2023-02-21613Wolves2Penguins4ALSommaire du match
121 - 2023-02-24629Sound Tigers6Wolves2BLR1Sommaire du match
123 - 2023-02-26638Wolves5Penguins4AWXXSommaire du match
126 - 2023-03-01652Wolves4Reign5ALXXSommaire du match
127 - 2023-03-02659Barracuda5Wolves4BLXSommaire du match
130 - 2023-03-05680Moose4Wolves7BWSommaire du match
133 - 2023-03-08693Wolves2Devils4ALSommaire du match
135 - 2023-03-10705Wolves6Icehogs3AWSommaire du match
136 - 2023-03-11712Crunch3Wolves6BWSommaire du match
140 - 2023-03-15733Penguins6Wolves2BLSommaire du match
145 - 2023-03-20758Comets5Wolves4BLXSommaire du match
147 - 2023-03-22769Wolves3Marlies6ALSommaire du match
151 - 2023-03-26784Bears3Wolves4BWXXSommaire du match
155 - 2023-03-30809Rampage1Wolves2BWSommaire du match
157 - 2023-04-01817Wolves4Griffins3AWXXSommaire du match
159 - 2023-04-03827Wolves1Heat4ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
161 - 2023-04-05836Monsters8Wolves2BLSommaire du match
163 - 2023-04-07845Wolves3Crunch2AWSommaire du match
165 - 2023-04-09852Wolves3Heat2AWSommaire du match
167 - 2023-04-11863Penguins9Wolves5BLSommaire du match
169 - 2023-04-13877Wolves4Rocket8ALSommaire du match
171 - 2023-04-15887Wolfpack4Wolves2BLSommaire du match
173 - 2023-04-17896Wolves7Punishers4AWSommaire du match
176 - 2023-04-20911Wolves5Thunderbirds4AWSommaire du match
178 - 2023-04-22919Devils6Wolves2BLSommaire du match
182 - 2023-04-26939Punishers5Wolves6BWSommaire du match
186 - 2023-04-30960Wolves4Phantoms7ALSommaire du match
187 - 2023-05-01965Punishers4Wolves3BLXSommaire du match
189 - 2023-05-03974Wolves4Punishers2AWSommaire du match
192 - 2023-05-06987Wolves5Eagles2AWSommaire du match
193 - 2023-05-07990Wolves4Sound Tigers3AWXR1Sommaire du match
195 - 2023-05-09999Wolfpack3Wolves4BWXSommaire du match
201 - 2023-05-151018Thunderbirds6Wolves5BLXXSommaire du match
203 - 2023-05-171026Wolves3Devils5ALSommaire du match
204 - 2023-05-181032Wolves2Sound Tigers3ALXXR1Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance72,67436,955
Assistance PCT90.84%92.39%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2741 - 91.36% 81,320$3,252,813$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,444,028$ 1,510,000$ 1,435,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,330$ 1,933,122$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 9,757$ 0$




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