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Connexion

Wolves
GP: 82 | W: 54 | L: 27 | OTL: 1 | P: 109
GF: 385 | GA: 219 | PP%: 21.71% | PK%: 83.27%
DG: James | Morale : 50 | Moyenne d’équipe : 61
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Centre de jeu
Wolves
54-27-1, 109pts
5
FINAL
4 Wolf Pack
24-56-2, 50pts
Team Stats
L1StreakSOL1
30-11-0Home Record14-27-0
24-16-1Away Record10-29-2
4-6-0Last 10 Games4-5-1
4.70Buts par match 2.90
2.67Buts contre par match 5.34
21.71%Pourcentage en avantage numérique13.43%
83.27%Pourcentage en désavantage numérique81.27%
Reign
46-35-1, 93pts
6
FINAL
2 Wolves
54-27-1, 109pts
Team Stats
W1StreakL1
22-18-1Home Record30-11-0
24-17-0Away Record24-16-1
6-4-0Last 10 Games4-6-0
4.46Buts par match 4.70
2.88Buts contre par match 2.67
16.25%Pourcentage en avantage numérique21.71%
81.51%Pourcentage en désavantage numérique83.27%
Meneurs d'équipe
Martin KautButs
Martin Kaut
62
Passes
Nolan Patrick
44
Martin KautPoints
Martin Kaut
104
Lias AnderssonPlus/Moins
Lias Andersson
54
Victoires
Ken Appleby
41
Pourcentage d’arrêts
Ken Appleby
0.876

Statistiques d’équipe
Buts pour
385
4.70 GFG
Tirs pour
2319
28.28 Avg
Pourcentage en avantage numérique
21.7%
66 GF
Début de zone offensive
40.3%
Buts contre
219
2.67 GAA
Tirs contre
1706
20.80 Avg
Pourcentage en désavantage numérique
83.3%%
44 GA
Début de la zone défensive
33.7%
Informations de l'équipe

Directeur généralJames
EntraîneurKirk Muller
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,911
Billets de saison0


Informations de la formation

Équipe Pro14
Équipe Mineure19
Limite contact 33 / 50
Espoirs42


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
1Nolan PatrickX100.007544917973596472726558642554546550640241800,000$
2Martin KautX100.0072678380676364625053666363454565506102311,319,167$
3Lias AnderssonXX100.007744827871575959485557607557576150600241800,000$
4Aleksi Heponiemi (R)XX100.006557857257636462506356595345456150590243750,000$
5Vitaly Kravtsov (R)X100.0063429365716260602560596325454561505802321,775,000$
6Shane Bowers (R)X100.007670896670545552654456625344445850560233750,000$
7Jordan Spence (R)X100.007843978059796274255949732546466450660223919,167$
8Gustav Lindstrom (R)X100.007343897572697059255447782555556150660241925,000$
9Juuso Valimaki (R)X100.007344707578697258255647772550506150650242900,000$
10Calen Addison (R)X100.007142958166637276255054642545466350630233910,833$
11Nils Lundkvist (R)X100.0067429976666458642550486625464659506102231,775,000$
12Pierre-Olivier Joseph (R)X100.0073707972707378572549516248454560506102321,075,833$
13Josh Brook (R)X100.007171726971677152254941603944445450590232910,833$
14Tyler Tucker (R)X100.007176586376636748254040593844445050560233808,333$
Rayé
MOYENNE D’ÉQUIPE100.00725484746965656136535265394848605061
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

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# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
Rayé
MOYENNE D’ÉQUIPE 0.00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller70696566837765CAN562700,000$


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
1Liam FoudyGolden KnightsC/LW/RW7352591115751151411102976623917.51%26145619.9581220332030110706062.32%6900031.52002011067
2Martin KautWolves (VGK)RW826242104457125145963449024918.02%22154618.86915245022600023212267.95%7800051.34001131185
3Lias AnderssonWolves (VGK)C/LW7433437654655122631504913722.00%16130117.59459221751011455063.46%10400011.1700001342
4Dawson MercerGolden KnightsC/RW36304474410011851604511318.75%981522.6751116159400051205167.86%80900021.81000001033
5Aleksi HeponiemiWolves (VGK)C/RW8234377133541076712075512016.43%21130515.925712251370002123161.70%9400021.0900011345
6Nolan PatrickWolves (VGK)C6421446537295591151473010814.29%6105016.4105512961121723173.63%89100001.2401001342
7Vitaly KravtsovWolves (VGK)RW823428623912040541875112318.18%16120214.67145636000024047.44%7800001.0300000107
8Morgan GeekieGolden KnightsC592536613714061871403910817.86%797116.463589571013862173.90%65900021.2611000431
9Jamie DrysdaleGolden KnightsD3913425534320443248173327.08%3383321.38981727102011095100.00%000001.3200000233
10Juuso ValimakiWolves (VGK)D5615395433380903172172320.83%49102118.2481220371360001118600.00%000001.0600000253
11Calen AddisonWolves (VGK)D825414637395884048234210.42%3296111.72033529000023100.00%000000.9600100021
12Jordan SpenceWolves (VGK)D469283722260474057224015.79%3584818.446713341200001100110.00%000000.8700000303
13Shane BowersWolves (VGK)C58211132282407649127358916.54%1865311.2600003000002073.04%20400010.9800000133
14Gustav LindstromWolves (VGK)D39427313126067324725448.51%4682121.0722431117000096200.00%000000.7500000004
15Milan LucicGolden KnightsLW311017273045596164264523.81%264420.801233910002750172.50%4000000.8411001153
16Nils LundkvistWolves (VGK)D82125263020064282616303.85%3794811.5700004011046000.00%000000.5500000000
17Pierre-Olivier JosephWolves (VGK)D82815231624076203281825.00%216427.842133210000410066.67%300000.7200000121
18Josh BrookWolves (VGK)D82111121324048131081010.00%184946.03000020001900100.00%100000.4900000000
Statistiques d’équipe totales ou en moyenne11493785899676175947013519822141602157117.66%4141752015.256399162312165834719105053870.30%3030000161.1023428555253
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
1Ken ApplebyGolden Knights55411400.8762.2531530101189540510.7504550001
2Alex StalockGolden Knights31121010.8733.17149422796210400.00%02577010
Statistiques d’équipe totales ou en moyenne86532410.8752.544647212197157509148077011


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
Aleksi HeponiemiWolves (VGK)C/RW241999-01-08Yes155 Lbs5 ft10NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Calen AddisonWolves (VGK)D232000-04-10Yes180 Lbs5 ft11NoNoNo3Pro & Farm910,833$0$0$No910,833$910,833$Lien
Gustav LindstromWolves (VGK)D241998-10-20Yes190 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Jordan SpenceWolves (VGK)D222001-02-24Yes163 Lbs5 ft10NoNoNo3Pro & Farm919,167$0$0$No919,167$919,167$Lien
Josh BrookWolves (VGK)D231999-06-17Yes192 Lbs6 ft1NoNoNo2Pro & Farm910,833$0$0$No910,833$Lien / Lien NHL
Juuso ValimakiWolves (VGK)D241998-10-06Yes212 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Lias AnderssonWolves (VGK)C/LW241998-10-13No190 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Martin KautWolves (VGK)RW231999-10-02No176 Lbs6 ft2NoNoNo1Pro & Farm1,319,167$0$0$NoLien / Lien NHL
Nils LundkvistWolves (VGK)D222000-07-27Yes187 Lbs5 ft10NoNoNo3Pro & Farm1,775,000$0$0$No1,775,000$1,775,000$Lien
Nolan PatrickWolves (VGK)C241998-09-19No198 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$NoLien
Pierre-Olivier JosephWolves (VGK)D231999-07-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm1,075,833$0$0$No1,075,833$Lien / Lien NHL
Shane BowersWolves (VGK)C231999-07-30Yes186 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien / Lien NHL
Tyler TuckerWolves (VGK)D232000-03-01Yes205 Lbs6 ft2NoNoNo3Pro & Farm808,333$0$0$No808,333$808,333$Lien
Vitaly KravtsovWolves (VGK)RW231999-12-23Yes189 Lbs6 ft3NoNoNo2Pro & Farm1,775,000$0$0$No1,775,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1423.21186 Lbs6 ft12.141,029,940$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Martin Kaut40122
2Aleksi Heponiemi30122
3Shane BowersVitaly Kravtsov20122
4Shane Bowers10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
3Calen AddisonNils Lundkvist20122
4Pierre-Olivier JosephJosh Brook10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Martin Kaut60122
2Aleksi Heponiemi40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Martin Kaut
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Martin Kaut
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vitaly Kravtsov, Martin Kaut, Vitaly Kravtsov, Martin Kaut
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Calen Addison, Nils Lundkvist, Pierre-Olivier JosephCalen AddisonNils Lundkvist, Pierre-Olivier Joseph
Tirs de pénalité
, , , , Martin Kaut
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , Martin Kaut, , , Aleksi Heponiemi, Vitaly Kravtsov, Shane Bowers,
Lignes de défense personnalisées en prolongation
, , , , Calen Addison


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
1 Americans440000002171422000000133102200000084481.0002136570015212810429075177678977825356414321.43%15193.33%21129199656.56%844166950.57%711128255.46%254119921517441869489
2Admirals4400000015782200000042222000000115681.00015264101152128104212775177678977220468110440.00%14192.86%01129199656.56%844166950.57%711128255.46%254119921517441869489
3Barracudas2200000016313110000007161100000092741.000162743001521281042897517767897286164822100.00%70100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
4Bears220000001501511000000100101100000050541.000152742021521281042707517767897235443200.00%20100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
5Bruins220000001147110000005231100000062441.00011193000152128104247751776789734810319333.33%50100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
6Canucks220000001082110000004311100000065141.0001016260015212810424475177678974422223710110.00%10190.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
7Checkers21100000862110000005051010000036-320.50081422011521281042457517767897652210315360.00%5180.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
8Comets220000001376110000006331100000074341.000132336001521281042437517767897368102410660.00%30100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
9Condors2110000023-1110000001011010000013-220.500235011521281042407517767897391718347114.29%80100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
10Crunch31200000811-31010000035-22110000056-120.33381523001521281042517517767897501825471317.69%10370.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
11Eagles21100000911-2110000007431010000027-520.50091827001521281042527517767897351120285360.00%10460.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
12Firebirds44000000388302200000021318220000001751281.00038651030115212810421827517767897641828926233.33%14285.71%01129199656.56%844166950.57%711128255.46%254119921517441869489
13Griffins2020000057-21010000023-11010000034-100.0005813001521281042277517767897461314251815.56%70100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
14Gulls30300000918-91010000048-420200000510-500.000915240015212810429975177678971183712668112.50%6350.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
15Heat20000110550100000104311000010012-130.75057120015212810423975177678975521183013215.38%80100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
16IceHogs4310000018810220000009362110000095460.75018345200152128104210675177678977229378510440.00%10280.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
17Marlies20200000310-71010000034-11010000006-600.0003690015212810422675177678974819262410110.00%12283.33%01129199656.56%844166950.57%711128255.46%254119921517441869489
18Monsters2110000034-1110000002021010000014-320.50035801152128104239751776789723730331317.69%9188.89%01129199656.56%844166950.57%711128255.46%254119921517441869489
19Moose40400000612-62020000047-32020000025-300.00068140015212810427675177678971112745801500.00%20575.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
20Penguins2110000067-11010000025-31100000042220.5006111700152128104259751776789758812428112.50%5180.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
21Phantoms31200000913-420200000512-71100000041320.333914230015212810425975177678976420203918211.11%7271.43%01129199656.56%844166950.57%711128255.46%254119921517441869489
22Rampage 440000002732422000000201192200000072581.00027437001152128104220675177678973815108513430.77%50100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
23Reign20200000510-51010000026-41010000034-100.0005611001521281042477517767897671416324125.00%8362.50%01129199656.56%844166950.57%711128255.46%254119921517441869489
24Roadrunners330000002332022000000182161100000051461.000234467011521281042116751776789734111653400.00%70100.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
25Rocket21100000880110000005141010000037-420.500816240015212810423975177678976217243411327.27%12283.33%01129199656.56%844166950.57%711128255.46%254119921517441869489
26Senators220000001064110000005411100000052341.000101323001521281042347517767897401212319555.56%6350.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
27Sound Tigers2200000017215110000008171100000091841.000172542001521281042757517767897301114377114.29%7185.71%01129199656.56%844166950.57%711128255.46%254119921517441869489
28Stars44000000311302200000014113220000001701781.0003155860315212810421847517767897611134787228.57%70100.00%11129199656.56%844166950.57%711128255.46%254119921517441869489
29Thunderbirds21100000660110000003211010000034-120.500611170015212810424875177678975715142313215.38%7185.71%01129199656.56%844166950.57%711128255.46%254119921517441869489
30Wild431000002113822000000116521100000107360.750214061001521281042110751776789711234368216425.00%12375.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
31Wolf Pack2110000078-11010000024-21100000054120.500711181015212810425075177678974212103514214.29%5260.00%01129199656.56%844166950.57%711128255.46%254119921517441869489
Total82532700110385219166412911000102099911041241600100176120561090.6653856611046112152128104223197517767897170651364414743046621.71%2634483.27%31129199656.56%844166950.57%711128255.46%254119921517441869489
_Since Last GM Reset82532700110385219166412911000102099911041241600100176120561090.6653856611046112152128104223197517767897170651364414743046621.71%2634483.27%31129199656.56%844166950.57%711128255.46%254119921517441869489
_Vs Conference483313001102461121342419400010139508924149001001076245690.719246427673081521281042156375177678979842963879381343324.63%1512484.11%31129199656.56%844166950.57%711128255.46%254119921517441869489
_Vs Division2926600000150589215142000008726611412400000633231520.8971502684180615212810429777517767897535158244572802126.25%851582.35%11129199656.56%844166950.57%711128255.46%254119921517441869489

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82109L13856611046231917065136441474112
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8253270110385219
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412911001020999
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4124160100176120
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3046621.71%2634483.27%3
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
75177678971521281042
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
1129199656.56%844166950.57%711128255.46%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
254119921517441869489


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
2 - 2023-03-2316Wolves2Admirals1AWSommaire du match
3 - 2023-03-2428Admirals0Wolves1BWSommaire du match
6 - 2023-03-2748Roadrunners2Wolves10BWSommaire du match
8 - 2023-03-2967Wolves3Crunch2AWSommaire du match
9 - 2023-03-3077Wolves4 Americans2AWSommaire du match
11 - 2023-04-0188Rampage 0Wolves9BWSommaire du match
13 - 2023-04-03107Wolves2IceHogs4ALSommaire du match
15 - 2023-04-05123Wolves4Rampage 1AWSommaire du match
16 - 2023-04-06128IceHogs2Wolves6BWSommaire du match
18 - 2023-04-08151Phantoms5Wolves1BLSommaire du match
20 - 2023-04-10167Wolves1Moose2ALSommaire du match
21 - 2023-04-11179Wolves7Wild3AWSommaire du match
22 - 2023-04-12192Firebirds3Wolves11BWSommaire du match
25 - 2023-04-15213Wolves6Firebirds1AWSommaire du match
27 - 2023-04-17224 Americans1Wolves5BWSommaire du match
30 - 2023-04-20245Wolves6Stars0AWSommaire du match
31 - 2023-04-21254Wild3Wolves5BWSommaire du match
34 - 2023-04-24282Wolves1Monsters4ALSommaire du match
35 - 2023-04-25288Heat3Wolves4BWXXSommaire du match
38 - 2023-04-28314Sound Tigers1Wolves8BWSommaire du match
39 - 2023-04-29321Wolves4 Americans2AWSommaire du match
41 - 2023-05-01336Wolves1Moose3ALSommaire du match
42 - 2023-05-02348Monsters0Wolves2BWSommaire du match
44 - 2023-05-04365Wolves5Bears0AWSommaire du match
46 - 2023-05-06380Roadrunners0Wolves8BWSommaire du match
49 - 2023-05-09403Condors0Wolves1BWSommaire du match
52 - 2023-05-12427Eagles4Wolves7BWSommaire du match
53 - 2023-05-13436Wolves4Penguins2AWSommaire du match
56 - 2023-05-16458Wolves6Bruins2AWSommaire du match
57 - 2023-05-17469Wolves3Reign4ALSommaire du match
58 - 2023-05-18478Marlies4Wolves3BLSommaire du match
61 - 2023-05-21501Phantoms7Wolves4BLSommaire du match
63 - 2023-05-23519Wolves1Heat2ALXSommaire du match
65 - 2023-05-25532Admirals2Wolves3BWSommaire du match
67 - 2023-05-27549Wolves3Rampage 1AWSommaire du match
69 - 2023-05-29563Bruins2Wolves5BWSommaire du match
71 - 2023-05-31585Wolves2Crunch4ALSommaire du match
73 - 2023-06-02598Griffins3Wolves2BLSommaire du match
75 - 2023-06-04611Wolves3Wild4ALSommaire du match
76 - 2023-06-05626Crunch5Wolves3BLSommaire du match
79 - 2023-06-08648Wolves5Roadrunners1AWSommaire du match
80 - 2023-06-09659Stars1Wolves8BWSommaire du match
82 - 2023-06-11677Wolves3Rocket7ALSommaire du match
84 - 2023-06-13688Wolves2Eagles7ALSommaire du match
85 - 2023-06-14700IceHogs1Wolves3BWSommaire du match
88 - 2023-06-17723Bears0Wolves10BWSommaire du match
90 - 2023-06-19737Wolves0Marlies6ALSommaire du match
92 - 2023-06-21753Firebirds0Wolves10BWSommaire du match
94 - 2023-06-23766Wolves5Senators2AWSommaire du match
96 - 2023-06-25782Wolves3Thunderbirds4ALSommaire du match
98 - 2023-06-27792 Americans2Wolves8BWSommaire du match
100 - 2023-06-29812Wolves9Barracudas2AWSommaire du match
102 - 2023-07-01825Wild3Wolves6BWSommaire du match
104 - 2023-07-03842Wolves7IceHogs1AWSommaire du match
106 - 2023-07-05856Wolves11Stars0AWSommaire du match
107 - 2023-07-06863Rocket1Wolves5BWSommaire du match
110 - 2023-07-09889Stars0Wolves6BWSommaire du match
113 - 2023-07-12911Wolves7Comets4AWSommaire du match
114 - 2023-07-13923Canucks3Wolves4BWSommaire du match
117 - 2023-07-16943Wolves6Canucks5AWSommaire du match
118 - 2023-07-17951Wolves4Phantoms1AWSommaire du match
119 - 2023-07-18958Comets3Wolves6BWSommaire du match
122 - 2023-07-21984Penguins5Wolves2BLSommaire du match
126 - 2023-07-251012Checkers0Wolves5BWSommaire du match
128 - 2023-07-271031Wolves9Sound Tigers1AWSommaire du match
130 - 2023-07-291043Moose4Wolves3BLSommaire du match
132 - 2023-07-311067Barracudas1Wolves7BWSommaire du match
134 - 2023-08-021079Wolves11Firebirds4AWSommaire du match
136 - 2023-08-041098Wolves3Griffins4ALSommaire du match
137 - 2023-08-051109Wolf Pack4Wolves2BLSommaire du match
140 - 2023-08-081129Wolves9Admirals4AWSommaire du match
141 - 2023-08-091140Wolves1Condors3ALSommaire du match
142 - 2023-08-101146Rampage 1Wolves11BWSommaire du match
145 - 2023-08-131172Senators4Wolves5BWSommaire du match
148 - 2023-08-161197Gulls8Wolves4BLSommaire du match
149 - 2023-08-171209Wolves3Gulls6ALSommaire du match
152 - 2023-08-201229Thunderbirds2Wolves3BWSommaire du match
153 - 2023-08-211235Wolves3Checkers6ALSommaire du match
157 - 2023-08-251259Moose3Wolves1BLSommaire du match
158 - 2023-08-261266Wolves2Gulls4ALSommaire du match
162 - 2023-08-301293Wolves5Wolf Pack4AWSommaire du match
165 - 2023-09-021312Reign6Wolves2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets400
Assistance80,66838,675
Assistance PCT98.38%94.33%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2911 - 97.03% 78,700$3,226,720$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,583,261$ 1,441,916$ 1,441,916$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,686$ 1,883,262$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 12,903$ 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