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OTHL - Wolves 
Connexion

Wolves
GP: 82 | W: 46 | L: 35 | OTL: 1 | P: 93
GF: 330 | GA: 236 | PP%: 22.52% | PK%: 81.99%
DG: James | Morale : 50 | Moyenne d’équipe : 62
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Centre de jeu
Wolves
46-35-1, 93pts
3
FINAL
7 Mariners
53-27-2, 108pts
Team Stats
L2StreakW1
26-15-0Home Record29-11-1
20-20-1Away Record24-16-1
4-6-0Last 10 Games6-4-0
4.02Buts par match 5.18
2.88Buts contre par match 2.72
22.52%Pourcentage en avantage numérique23.24%
81.99%Pourcentage en désavantage numérique84.75%
Wolves
46-35-1, 93pts
5
FINAL
8 IceHogs
65-14-3, 133pts
Team Stats
L2StreakW6
26-15-0Home Record34-5-2
20-20-1Away Record31-9-1
4-6-0Last 10 Games9-1-0
4.02Buts par match 5.22
2.88Buts contre par match 2.06
22.52%Pourcentage en avantage numérique24.48%
81.99%Pourcentage en désavantage numérique85.41%
Meneurs d'équipe
Buts
Nick Baptiste
76
Passes
Nick Baptiste
50
Points
Nick Baptiste
126
Plus/Moins
Nick Baptiste
70
Adam WernerVictoires
Adam Werner
46
Adam WernerPourcentage d’arrêts
Adam Werner
0.895

Statistiques d’équipe
Buts pour
330
4.02 GFG
Tirs pour
2365
28.84 Avg
Pourcentage en avantage numérique
22.5%
59 GF
Début de zone offensive
36.5%
Buts contre
236
2.88 GAA
Tirs contre
2163
26.38 Avg
Pourcentage en désavantage numérique
82.0%
38 GA
Début de la zone défensive
39.5%
Informations de l'équipe

Directeur généralJames
EntraîneurJim Montgomery
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,909
Billets de saison0


Informations de la formation

Équipe Pro8
Équipe Mineure19
Limite contact 27 / 50
Espoirs49


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
1Nick Baptiste (R)X100.007774846474616163505864656144446450600261800,000$
2Vitaly Kravtsov (R)X100.0063429365716260602560596325454561505802231,775,000$
3Gustav Lindstrom (R)X100.007644997272696760255747842546466150660232925,000$
4Jamie Drysdale (R)X100.0061419186647870692555547125464662506502031,775,000$
5Juuso Valimaki (R)X100.0067438575786756612552487025484862506302311,319,166$
6Pierre-Olivier Joseph (R)X100.0079448865707072632559486625454558506202231,075,833$
7Josh Brook (R)X100.007171726971677152254941603944445450590223910,833$
Rayé
MOYENNE D’ÉQUIPE100.00715187717168656129565268324545605062
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
1Adam Werner100.00575468865861576362613044445950600252925,000$
Rayé
MOYENNE D’ÉQUIPE100.0057546886586157636261304444595060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jim Montgomery75837476777173CAN511800,000$


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

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# 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
1Nick BaptisteWolves (VGK)RW7376501267061522712840712027818.67%59141719.4214112579185101714714060.00%10000091.78020011595
2Morgan GeekieGolden KnightsC827640116744751681963309320823.03%30136416.641271951176000511012070.17%136100191.70010101479
3Martin KautGolden KnightsRW743758957924066862247420816.52%14114515.484711311460004583164.08%10300121.6601000756
4Vitaly KravtsovWolves (VGK)RW3931306154603639135268822.96%855114.143361564000083140.00%2000022.2100000473
5Juuso ValimakiWolves (VGK)D82114455265351256197235511.34%55130715.94156185400025711 0.00%000000.8400010107
6Pierre-Olivier JosephWolves (VGK)D825354023580165605510409.09%51126615.450009400001661066.67%300000.6300000026
7Josh BrookWolves (VGK)D821028381476101756864223615.63%7396311.740001800002100100.00%200000.7911011132
8Liam FoudyGolden KnightsC/LW/RW231021313160152056113717.86%135715.523479490002313065.71%3500011.7400000211
9Nolan PatrickGolden KnightsC191216282980144566135118.18%034818.331345420000460072.97%44400001.6100000220
10Jamie DrysdaleWolves (VGK)D25819271240362945192917.78%2552521.044482441000053010.00%200001.0300000113
11Gustav LindstromWolves (VGK)D16713201110029102091735.00%1334421.5434793401103210 0.00%000001.1600000222
12Henri JokiharjuGolden KnightsD818978074114119.09%717622.1101142100001500 0.00%000001.0200000000
Statistiques d’équipe totales ou en moyenne6052843626464303612510637461510424105818.81%336976916.154549942558641122165038469.57%2070002231.3215032493944
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
1Adam WernerWolves (VGK)82463410.8952.6946384620819880211.0007820132
Statistiques d’équipe totales ou en moyenne82463410.8952.6946384620819880211.0007820132


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam WernerWolves (VGK)G251997-05-02No202 Lbs6 ft5NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Gustav LindstromWolves (VGK)D231998-10-20Yes190 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Jamie DrysdaleWolves (VGK)D202002-04-08Yes175 Lbs5 ft11NoNoNo3Pro & Farm1,775,000$0$0$No1,775,000$1,775,000$Lien
Josh BrookWolves (VGK)D221999-06-17Yes192 Lbs6 ft1NoNoNo3Pro & Farm910,833$0$0$No910,833$910,833$Lien / Lien NHL
Juuso ValimakiWolves (VGK)D231998-10-06Yes212 Lbs6 ft2NoNoNo1Pro & Farm1,319,166$0$0$NoLien
Nick BaptisteWolves (VGK)RW261995-08-04Yes203 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$NoLien
Pierre-Olivier JosephWolves (VGK)D221999-07-01Yes185 Lbs6 ft2NoNoNo3Pro & Farm1,075,833$0$0$No1,075,833$1,075,833$Lien / Lien NHL
Vitaly KravtsovWolves (VGK)RW221999-12-23Yes189 Lbs6 ft3NoNoNo3Pro & Farm1,775,000$0$0$No1,775,000$1,775,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
822.88194 Lbs6 ft22.251,188,229$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Vitaly Kravtsov30122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Juuso Valimaki30122
3Pierre-Olivier JosephJosh Brook20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Vitaly Kravtsov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Juuso Valimaki40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Juuso Valimaki40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Juuso Valimaki40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Juuso Valimaki40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Vitaly Kravtsov, , Vitaly Kravtsov,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Pierre-Olivier Joseph, Josh Brook, Pierre-Olivier JosephJosh Brook,
Tirs de pénalité
, , , , Vitaly Kravtsov
Gardien
#1 : Adam Werner, #2 :
Lignes d’attaque personnalisées en prolongation
, , , , Vitaly Kravtsov, , , , , ,
Lignes de défense personnalisées en prolongation
, , , Juuso Valimaki, Pierre-Olivier Joseph


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 Americans40400000718-1120200000511-62020000027-500.000713200014694864737757767952611024457815213.33%19668.42%01019201350.62%902217641.45%617132646.53%215716461884497897455
2Admirals403010001012-2201010006602020000046-220.2501017270014694864787757767952612228205813323.08%10190.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
3Barracudas33000000225172200000013491100000091861.00022375900146948641277757767952657156544250.00%30100.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
4Bears2200000014113110000006151100000080841.000142337011469486493775776795264384414250.00%20100.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
5Bruins2010100045-1100010004311010000002-220.50048121014694864347757767952649201244600.00%60100.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
6Canucks20200000212-101010000017-61010000015-400.000246001469486431775776795266118141611218.18%6266.67%01019201350.62%902217641.45%617132646.53%215716461884497897455
7Checkers220000001257110000008441100000041341.00012172900146948645777577679526691214457342.86%50100.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
8Comets2010001046-2100000104311010000003-320.5004610001469486439775776795264117630700.00%3166.67%01019201350.62%902217641.45%617132646.53%215716461884497897455
9Condors2020000027-51010000023-11010000004-400.00023500146948642777577679526542423195120.00%9366.67%01019201350.62%902217641.45%617132646.53%215716461884497897455
10Crunch2200000014113110000008171100000060641.0001423370114694864113775776795264612164022100.00%8187.50%01019201350.62%902217641.45%617132646.53%215716461884497897455
11Eagles2200000016214110000007251100000090941.0001627430114694864887757767952635146324125.00%30100.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
12Griffins2020000028-61010000003-31010000025-300.00023500146948643977577679526741617381100.00%5180.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
13Gulls30300000716-91010000026-420200000510-500.00071320001469486449775776795267238144819526.32%7185.71%01019201350.62%902217641.45%617132646.53%215716461884497897455
14Heat20200000112-111010000008-81010000014-300.00012300146948642977577679526802422296116.67%10280.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
15IceHogs422000001519-42200000084420200000715-840.5001527420014694864867757767952613239145216425.00%70100.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
16Mariners42200000161602200000012752020000049-540.50016274300146948641147757767952612136188316637.50%7185.71%01019201350.62%902217641.45%617132646.53%215716461884497897455
17Marlies30300000616-101010000024-220200000412-800.00061117001469486450775776795269923185613323.08%9277.78%01019201350.62%902217641.45%617132646.53%215716461884497897455
18Monsters2010001069-31010000015-41000001054120.500691500146948644277577679526631917231218.33%60100.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
19Moose40300100416-1220200000110-92010010036-310.12547110014694864607757767952616849437317211.76%17476.47%01019201350.62%902217641.45%617132646.53%215716461884497897455
20Penguins220000001055110000005231100000053241.00010152500146948644377577679526502012325240.00%6266.67%01019201350.62%902217641.45%617132646.53%215716461884497897455
21Phantoms220000001028110000004131100000061541.0001018280014694864557757767952673176376233.33%20100.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
22Rampage 4400000026620220000001248220000001421281.00026467200146948642297757767952670176837228.57%30100.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
23Reign211000006511010000023-11100000042220.50068140014694864327757767952648111020400.00%4250.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
24Roadrunners22000000174131100000073411000000101941.000172845001469486495775776795264391048300.00%5260.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
25Rocket2110000035-21010000014-31100000021120.500358001469486440775776795264068269111.11%3233.33%01019201350.62%902217641.45%617132646.53%215716461884497897455
26Senators220000001028110000004131100000061541.0001017270014694864717757767952636884911327.27%40100.00%11019201350.62%902217641.45%617132646.53%215716461884497897455
27Sound Tigers220000001138110000005231100000061541.0001118290014694864867757767952649174744125.00%20100.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
28Stars440000002361722000000113822000000123981.000234366011469486412077577679526872438916233.33%19289.47%01019201350.62%902217641.45%617132646.53%215716461884497897455
29Thunderbirds2020000026-41010000013-21010000013-200.0002350014694864427757767952662151426700.00%7357.14%01019201350.62%902217641.45%617132646.53%215716461884497897455
30Wild4400000027423220000001511422000000123981.000274471011469486415877577679526672725729444.44%100100.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
31Wolf Pack330000002121922000000121111100000091861.000213556011469486416577577679526421510683266.67%40100.00%01019201350.62%902217641.45%617132646.53%215716461884497897455
Total824235021203302369441231502010169120494119200011016111645930.5673305578871614694864236577577679526216362248014852625922.52%2113881.99%11019201350.62%902217641.45%617132646.53%215716461884497897455
_Since Last GM Reset824235021203302369441231502010169120494119200011016111645930.5673305578871614694864236577577679526216362248014852625922.52%2113881.99%11019201350.62%902217641.45%617132646.53%215716461884497897455
_Vs Conference48242201100199148512414901000103752824101300100967323510.531199342541031469486413657757767952612663793008401443524.31%1332481.95%01019201350.62%902217641.45%617132646.53%215716461884497897455
_Vs Division2816140110013869691410501000673334146900100713635350.625138239377031469486491477577679526724207162509751824.00%74987.84%01019201350.62%902217641.45%617132646.53%215716461884497897455

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8293L233055788723652163622480148516
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8242352120330236
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4123152010169120
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4119200110161116
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
2625922.52%2113881.99%1
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
7757767952614694864
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
1019201350.62%902217641.45%617132646.53%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
215716461884497897455


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 - 2021-11-1214Wolves1 Americans3ALSommaire du match
3 - 2021-11-1326Mariners3Wolves7BWSommaire du match
5 - 2021-11-1536Wolves7Wild1AWSommaire du match
6 - 2021-11-1655Wolves2Marlies4ALSommaire du match
7 - 2021-11-1762Stars0Wolves5BWSommaire du match
9 - 2021-11-1981Wolves3Gulls4ALSommaire du match
11 - 2021-11-2196Wild1Wolves7BWSommaire du match
14 - 2021-11-24118Admirals2Wolves3BWXSommaire du match
16 - 2021-11-26136Wolf Pack1Wolves8BWSommaire du match
18 - 2021-11-28156Wolves7Rampage 1AWSommaire du match
19 - 2021-11-29163Wolves6Stars1AWSommaire du match
21 - 2021-12-01182Wolves2Admirals3ALSommaire du match
22 - 2021-12-02191IceHogs2Wolves4BWSommaire du match
25 - 2021-12-05217Barracudas2Wolves8BWSommaire du match
26 - 2021-12-06235 Americans8Wolves3BLSommaire du match
27 - 2021-12-07242Wolves2IceHogs7ALSommaire du match
30 - 2021-12-10264Thunderbirds3Wolves1BLSommaire du match
32 - 2021-12-12283Wolves10Roadrunners1AWSommaire du match
34 - 2021-12-14296Wolves1Thunderbirds3ALSommaire du match
35 - 2021-12-15307Monsters5Wolves1BLSommaire du match
37 - 2021-12-17328Wolves9Barracudas1AWSommaire du match
39 - 2021-12-19345Mariners4Wolves5BWSommaire du match
41 - 2021-12-21361Wolves5Monsters4AWXXSommaire du match
42 - 2021-12-22372Bruins3Wolves4BWXSommaire du match
45 - 2021-12-25395Griffins3Wolves0BLSommaire du match
46 - 2021-12-26408Wolves1Heat4ALSommaire du match
47 - 2021-12-27417Wolves4Reign2AWSommaire du match
50 - 2021-12-30441Crunch1Wolves8BWSommaire du match
51 - 2021-12-31458Wolves6Sound Tigers1AWSommaire du match
53 - 2022-01-02472Wild0Wolves8BWSommaire du match
55 - 2022-01-04489Wolves9Wolf Pack1AWSommaire du match
57 - 2022-01-06503Marlies4Wolves2BLSommaire du match
59 - 2022-01-08523Wolves4Checkers1AWSommaire du match
61 - 2022-01-10537Eagles2Wolves7BWSommaire du match
62 - 2022-01-11549Checkers4Wolves8BWSommaire du match
65 - 2022-01-14572Wolves2Gulls6ALSommaire du match
66 - 2022-01-15587Wolves5Penguins3AWSommaire du match
68 - 2022-01-17602Gulls6Wolves2BLSommaire du match
70 - 2022-01-19624Roadrunners3Wolves7BWSommaire du match
72 - 2022-01-21640Wolves7Rampage 1AWSommaire du match
73 - 2022-01-22649Wolves6Senators1AWSommaire du match
75 - 2022-01-24668Canucks7Wolves1BLSommaire du match
76 - 2022-01-25686Wolves3Moose4ALXSommaire du match
78 - 2022-01-27698Admirals4Wolves3BLSommaire du match
80 - 2022-01-29716Comets3Wolves4BWXXSommaire du match
82 - 2022-01-31737Wolves2Rocket1AWSommaire du match
83 - 2022-02-01746Wolves2Marlies8ALSommaire du match
85 - 2022-02-03761 Americans3Wolves2BLSommaire du match
87 - 2022-02-05782Wolves1Canucks5ALSommaire du match
88 - 2022-02-06796IceHogs2Wolves4BWSommaire du match
90 - 2022-02-08813Wolves1 Americans4ALSommaire du match
92 - 2022-02-10826Rocket4Wolves1BLSommaire du match
93 - 2022-02-11844Bears1Wolves6BWSommaire du match
95 - 2022-02-13861Wolves8Bears0AWSommaire du match
97 - 2022-02-15875Wolves1Mariners2ALSommaire du match
99 - 2022-02-17891Stars3Wolves6BWSommaire du match
100 - 2022-02-18902Wolves6Crunch0AWSommaire du match
102 - 2022-02-20920Phantoms1Wolves4BWSommaire du match
104 - 2022-02-22939Reign3Wolves2BLSommaire du match
106 - 2022-02-24957Wolves0Condors4ALSommaire du match
108 - 2022-02-26976Heat8Wolves0BLSommaire du match
110 - 2022-02-28988Wolves0Moose2ALSommaire du match
112 - 2022-03-021004Penguins2Wolves5BWSommaire du match
113 - 2022-03-031022Wolves0Bruins2ALSommaire du match
114 - 2022-03-041029Wolves9Eagles0AWSommaire du match
116 - 2022-03-061050Condors3Wolves2BLSommaire du match
117 - 2022-03-071061Wolves5Wild2AWSommaire du match
119 - 2022-03-091080Wolf Pack0Wolves4BWSommaire du match
122 - 2022-03-121104Barracudas2Wolves5BWSommaire du match
123 - 2022-03-131115Wolves6Stars2AWSommaire du match
126 - 2022-03-161136Senators1Wolves4BWSommaire du match
128 - 2022-03-181157Moose4Wolves0BLSommaire du match
130 - 2022-03-201169Wolves0Comets3ALSommaire du match
131 - 2022-03-211182Wolves2Admirals3ALSommaire du match
133 - 2022-03-231193Wolves2Griffins5ALSommaire du match
135 - 2022-03-251212Sound Tigers2Wolves5BWSommaire du match
137 - 2022-03-271232Rampage 2Wolves6BWSommaire du match
138 - 2022-03-281241Wolves6Phantoms1AWSommaire du match
140 - 2022-03-301260Moose6Wolves1BLSommaire du match
143 - 2022-04-021283Rampage 2Wolves6BWSommaire du match
145 - 2022-04-041302Wolves3Mariners7ALSommaire du match
146 - 2022-04-051305Wolves5IceHogs8ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets400
Assistance80,46138,818
Assistance PCT98.12%94.68%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2909 - 96.97% 78,499$3,218,440$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,142,969$ 950,583$ 950,583$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
6,423$ 1,342,954$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 11,828$ 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