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CHICAGO Wolves
GP: 5 | W: 1 | L: 4
GF: 15 | GA: 31 | PP%: 46.15% | PK%: 23.08%
DG: Charles Brière | Morale : 39 | Moyenne d’équipe : 61

Centre de jeu
UTICA Comets
15-9-0, 30pts
5
FINAL
4 CHICAGO Wolves
1-4-0, 2pts
Team Stats
L1SéquenceL1
9-4-0Fiche domicile0-2-0
6-5-0Fiche domicile1-2-0
6-3-1Derniers 10 matchs1-3-1
3.75Buts par match 3.00
2.67Buts contre par match 6.20
50.00%Pourcentage en avantage numérique46.15%
63.83%Pourcentage en désavantage numérique23.08%
CHICAGO Wolves
1-4-0, 2pts
3
FINAL
5 UTICA Comets
15-9-0, 30pts
Team Stats
L1SéquenceL1
0-2-0Fiche domicile9-4-0
1-2-0Fiche domicile6-5-0
1-3-1Derniers 10 matchs6-3-1
3.00Buts par match 3.75
6.20Buts contre par match 2.67
46.15%Pourcentage en avantage numérique50.00%
23.08%Pourcentage en désavantage numérique63.83%
Meneurs d'équipe
Jack McBainButs
Jack McBain
3
Jack McBainPasses
Jack McBain
7
Jack McBainPoints
Jack McBain
10
Aleksi HeponiemiPlus/Moins
Aleksi Heponiemi
-3
Adam WernerVictoires
Adam Werner
1
Adam WernerPourcentage d’arrêts
Adam Werner
0.83

Statistiques d’équipe
Buts pour
15
3.00 GFG
Tirs pour
123
24.60 Avg
Pourcentage en avantage numérique
46.2%
6 GF
Début de zone offensive
30.6%
Buts contre
31
6.20 GAA
Tirs contre
161
32.20 Avg
Pourcentage en désavantage numérique
23.1%%
10 GA
Début de la zone défensive
37.4%
Informations de l'équipe

Directeur généralCharles Brière
EntraîneurBrad Larsen
DivisionAtlantique
ConférenceEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure18
Limite contact 39 / 80
Espoirs58


Historique d'équipe

Saison actuelle1-4
Historique186-137-28 (0.530%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)25 - 12 (0.676%)
Coupe Stanley1


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
1Morgan BarronX100.008049837489828175606869757363540737202611,350,000$
2Jack McBain (R)X100.008372687685857675697469747459500807202411,600,000$
3Jansen HarkinsXX100.00754682738078786845646267676858079670272787,500$
4Nikita Alexandrov (R)X100.00694280757676666756636165675550079650241775,000$
5Kole LindX100.00634862726468666746666167675350079640262852,500$
6Lias AnderssonXX100.00584667696567656661636258665451080620261852,500$
7Glenn GawdinXX100.00554764656469686562646154645550079610271775,000$
8Aleksi HeponiemiXX100.00544372715264646359655559645251079600251750,000$
9Chase De LeoXXX100.00544272666068666346635754625753079600292838,200$
10Nate SchnarrX100.00594669646364636052545456595250077580251852,500$
11Luka BurzanX100.00604068626359585647545454575150077560241852,500$
12Zayde WisdomX100.00614171636461605751535254575050077560221797,500$
13Isaak PhillipsX100.00674668727976666740645969665650073660231775,000$
14Joseph CecconiX100.00634664626968666240565364595550079610271775,000$
15Mikko KokkonenX100.00634169676563616140575465615150079610231847,000$
Rayé
1Roland McKeownX100.00634664686469686440615669625751027630281852,500$
2Mason MillmanX100.00574362626056545340515058545050020550231852,500$
3Sami NikuX100.00524753615357535340525157535350020540281852,500$
4Nelson NogierX100.00524753575558545340515152535450020530281852,500$
MOYENNE D’ÉQUIPE100.0063466867676865634960576262555106661
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 Werner100.0058535260565655565654525350080520272750,000$
Rayé
1Keith Kinkaid100.00677071646766676466686870630806203511,100,000$
MOYENNE D’ÉQUIPE100.006362626262616160616160625708057
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brad Larsen8775738070691CAN461300,000$


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
1Jack McBainCHICAGO Wolves (CAR)C53710-72011202291313.64%113527.14044410000080045.16%15527001.4700000200
2Jansen HarkinsCHICAGO Wolves (CAR)C/LW5336-600591861116.67%811823.7132559000080060.00%10107001.0100000000
3Aleksi HeponiemiCHICAGO Wolves (CAR)C/LW5235-36068134815.38%29519.110000000000100%031001.0500000010
4Lias AnderssonCHICAGO Wolves (CAR)C/LW5123-32059102710.00%410521.1601124011020050.00%603000.5700000001
5Kole LindCHICAGO Wolves (CAR)RW5022-7181091016670%211823.6601123000100035.71%1435000.3400002000
6Isaak PhillipsCHICAGO Wolves (CAR)D5022-620171410450%1114729.5301111000027000%018000.2700000000
7Nikita AlexandrovCHICAGO Wolves (CAR)C5202-400111554040.00%29519.1200014101120044.44%5412000.4200000000
8Chase De LeoCHICAGO Wolves (CAR)C/LW/RW5011-7207103310%512725.52000010000100100.00%213000.1600000000
9Joseph CecconiCHICAGO Wolves (CAR)D5011-500697320%1111723.590001400004000%111000.1700000000
10Glenn GawdinCHICAGO Wolves (CAR)C/RW5101-300101050020.00%38016.0600011000000058.82%3421000.2500000000
11Mikko KokkonenCHICAGO Wolves (CAR)D5011-5009165530%1011022.160000400004000%015000.1800000000
Statistiques d’équipe totales ou en moyenne55122234-56321096130114465710.53%59125322.80391217541124401047.10%2762543000.5400002211
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 WernerCHICAGO Wolves (CAR)51310.8305.38290002615386000055000
Statistiques d’équipe totales ou en moyenne51310.8305.3829000261538600055000


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam WernerCHICAGO Wolves (CAR)G271997-05-02SWENo205 Lbs6 ft5NoNoFree Agent2024-03-24NoNo22025-01-21FalseFalsePro & Farm750,000$15,306$0$0$No750,000$--------750,000$--------No--------Lien NHL
Aleksi HeponiemiCHICAGO Wolves (CAR)C/LW251999-01-09FINNo154 Lbs5 ft10NoNoN/ANoNo12024-01-02FalseFalsePro & Farm750,000$15,306$0$0$No---------------------------Lien NHL
Chase De LeoCHICAGO Wolves (CAR)C/LW/RW291995-10-25USANo186 Lbs5 ft9NoNoN/ANoNo22023-12-28FalseFalsePro & Farm838,200$17,106$0$0$No838,200$--------838,200$--------No--------
Glenn GawdinCHICAGO Wolves (CAR)C/RW271997-03-25CANNo201 Lbs6 ft1NoNoN/ANoNo12024-11-18FalseFalsePro & Farm775,000$15,816$0$0$No---------------------------Lien NHL
Isaak PhillipsCHICAGO Wolves (CAR)D232001-09-28CANNo205 Lbs6 ft3NoNoN/ANoNo12024-11-18FalseFalsePro & Farm775,000$15,816$0$0$No---------------------------Lien NHL
Jack McBainCHICAGO Wolves (CAR)C242000-01-06CANYes201 Lbs6 ft3NoNoN/ANoNo12024-11-18FalseFalsePro & Farm1,600,000$32,653$0$0$No---------------------------Lien NHL
Jansen HarkinsCHICAGO Wolves (CAR)C/LW271997-05-23USANo197 Lbs6 ft2NoNoN/ANoNo22024-11-18FalseFalsePro & Farm787,500$16,071$0$0$No787,500$--------787,500$--------No--------Lien NHL
Joseph CecconiCHICAGO Wolves (CAR)D271997-05-23USANo216 Lbs6 ft3NoNoN/ANoNo12024-11-18FalseFalsePro & Farm775,000$15,816$0$0$No---------------------------Lien NHL
Keith KinkaidCHICAGO Wolves (CAR)G351989-07-04USANo195 Lbs6 ft2NoNoFree AgentNoNo12024-12-29FalseFalsePro & Farm1,100,000$22,449$0$0$No---------------------------Lien NHL
Kole LindCHICAGO Wolves (CAR)RW261998-10-16CANNo186 Lbs6 ft1NoNoN/ANoNo22023-12-28FalseFalsePro & Farm852,500$17,398$0$0$No852,500$--------852,500$--------No--------Lien NHL
Lias AnderssonCHICAGO Wolves (CAR)C/LW261998-10-13SWENo190 Lbs6 ft1NoNoN/ANoNo12024-11-18FalseFalsePro & Farm852,500$17,398$0$0$No---------------------------Lien NHL
Luka BurzanCHICAGO Wolves (CAR)C242000-01-07CANNo185 Lbs6 ft1NoNoN/ANoNo12024-11-18FalseFalsePro & Farm852,500$17,398$0$0$No---------------------------Lien NHL
Mason MillmanCHICAGO Wolves (CAR)D232001-07-18CANNo186 Lbs6 ft1NoNoN/ANoNo12024-11-18FalseFalsePro & Farm852,500$17,398$0$0$No---------------------------Lien NHL
Mikko KokkonenCHICAGO Wolves (CAR)D232001-01-18FINNo200 Lbs6 ft0NoNoN/ANoNo12024-11-18FalseFalsePro & Farm847,000$17,286$0$0$No---------------------------
Morgan BarronCHICAGO Wolves (CAR)C261998-12-02CANNo220 Lbs6 ft4NoNoN/ANoNo12024-11-18FalseFalsePro & Farm1,350,000$27,551$0$0$No---------------------------Lien NHL
Nate SchnarrCHICAGO Wolves (CAR)C251999-02-25CANNo185 Lbs6 ft3NoNoN/ANoNo12024-11-18FalseFalsePro & Farm852,500$17,398$0$0$No---------------------------Lien NHL
Nelson NogierCHICAGO Wolves (CAR)D281996-05-27CANNo191 Lbs6 ft2NoNoN/ANoNo12024-11-18FalseFalsePro & Farm852,500$17,398$0$0$No---------------------------Lien NHL
Nikita AlexandrovCHICAGO Wolves (CAR)C242000-09-16DEUYes177 Lbs6 ft1NoNoN/ANoNo12024-11-18FalseFalsePro & Farm775,000$15,816$0$0$No---------------------------Lien NHL
Roland McKeownCHICAGO Wolves (CAR)D281996-01-20CANNo204 Lbs6 ft1NoNoN/ANoNo12024-11-18FalseFalsePro & Farm852,500$17,398$0$0$No---------------------------Lien NHL
Sami NikuCHICAGO Wolves (CAR)D281996-10-10FINNo176 Lbs6 ft1NoNoN/ANoNo12024-11-18FalseFalsePro & Farm852,500$17,398$0$0$No---------------------------Lien NHL
Zayde WisdomCHICAGO Wolves (CAR)C222002-07-07CANNo201 Lbs5 ft10NoNoN/ANoNo12024-11-18FalseFalsePro & Farm797,500$16,276$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2126.05193 Lbs6 ft11.19892,390$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jansen HarkinsJack McBain40122
2Lias AnderssonNikita AlexandrovKole Lind30122
3Chase De LeoGlenn GawdinKole Lind20122
4Aleksi HeponiemiJack McBain10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak Phillips40122
2Joseph CecconiMikko Kokkonen30122
3Isaak Phillips20122
4Joseph Cecconi10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jansen HarkinsJack McBain60122
2Lias AnderssonNikita AlexandrovKole Lind40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak Phillips60122
2Joseph CecconiMikko Kokkonen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack McBainJansen Harkins60122
2Nikita AlexandrovLias Andersson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak Phillips60122
2Joseph CecconiMikko Kokkonen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack McBain60122Isaak Phillips60122
2Nikita Alexandrov40122Joseph CecconiMikko Kokkonen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack McBainJansen Harkins60122
2Nikita AlexandrovLias Andersson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Isaak Phillips60122
2Joseph CecconiMikko Kokkonen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jansen HarkinsJack McBainIsaak Phillips
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jansen HarkinsJack McBainIsaak Phillips
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kole Lind, Lias Andersson, Glenn GawdinKole Lind, Lias AnderssonKole Lind
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Joseph Cecconi, Mikko Kokkonen, Joseph CecconiJoseph Cecconi, Mikko Kokkonen
Tirs de pénalité
Jack McBain, , Jansen Harkins, Nikita Alexandrov, Kole Lind
Gardien
#1 : , #2 : Adam Werner


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
1UTICA Comets514000001531-1620200000611-531200000920-1120.2001524390034711232637564161613611613646.15%131023.08%1418647.67%5210549.52%379041.11%87391055010855
Total514000001531-1620200000611-531200000920-1120.2001524390034711232637564161613611613646.15%131023.08%1418647.67%5210549.52%379041.11%87391055010855
_Since Last GM Reset514000001531-1620200000611-531200000920-1120.2001524390034711232637564161613611613646.15%131023.08%1418647.67%5210549.52%379041.11%87391055010855
_Vs Conference514000001531-1620200000611-531200000920-1120.2001524390034711232637564161613611613646.15%131023.08%1418647.67%5210549.52%379041.11%87391055010855

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L1152439123161613611600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001531
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000611
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000920
Derniers 10 matchs
WLOTWOTL SOWSOL
130100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
13646.15%131023.08%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
26375643471
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
418647.67%5210549.52%379041.11%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
87391055010855


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
13CHICAGO Wolves1UTICA Comets11LSommaire du match
311CHICAGO Wolves5UTICA Comets4WXSommaire du match
519UTICA Comets6CHICAGO Wolves2LSommaire du match
727UTICA Comets5CHICAGO Wolves4LXSommaire du match
935CHICAGO Wolves3UTICA Comets5LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,874,020$ 1,874,020$ 300,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 0$ 0$




CHICAGO Wolves Leaders statistiques des joueurs (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
1Karson Kuhlman2532351814163878439427128318.32%331445917.63162945104112720453.58%281.8713
2Kole Lind325187196383115142387494106617.54%235510115.70581315011412844.01%151.5001
3Morgan Barron18013420233613812350456895014.11%71453025.17103343923031417056.18%141.4825
4Jack McBain17314017631612725248852972619.28%84393522.753351841100221218557.82%101.61313
5Jansen Harkins2201501623121318021430971321.04%65411118.69364076117112410749.12%151.5248

CHICAGO 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
1Anthony Stolarz101742430.8932.8060556528326370110.66715
2Keith Kinkaid72422640.8772.984292622131731783720.78628
3Alex Lyon51341520.8913.10299923155141702000
4Evan Cowley148500.8953.94762205047501200
5Mikhail Berdin125100.8933.10503212624200000

CHICAGO 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
Saison régulière
14822058040004711008-53741122603000246489-2434183201000225519-29448471732120320221142104426628218929391064631868951260902022.22%42978.57%0614149141.18%603197030.61%757211935.72%138410482741437799339
15724025052004813651163622110210024716879361814031002341973792481857133804260136805334410641111115514227664032514271514026.49%1533974.51%21272229255.50%1037192653.84%880157255.98%192814311510457894465
1610664280813253435617853351302021275157118532915061112591996015353494314771520617214514384112721201133152309592874923583449226.74%3157177.46%62039364156.00%1803323955.67%1028189454.28%2625186424457571340673
1772312606153290225653616130203213811226361513041211521133988290449739225311311314136432950051844178155664013551386345.65%1686561.31%3587113951.54%717138851.66%523102750.93%134165115057181519757
Total Saison régulière33215513702348517761954-178166856309153906926-2016670740143328701028-15838117762981475751174056344237112113486370439431201361539921809640072321529.74%67818472.86%114512856352.69%4160852348.81%3188661248.22%727849978203237145542235
Séries éliminatoires
1512840000085632264200000433211642000004231111685155240004029142476145173144144251176425425832.00%29679.31%213632541.85%17037245.70%10326039.62%3142312757915376
162016400000845628107300000402911109100000442717328415323701283024276325624824910678190120500511121.57%501472.00%134274346.03%34073546.26%16035245.45%501362472141249126
17514000001531-1620200000611-531200000920-1121524390034711232637564161613611613646.15%131023.08%1418647.67%5210549.52%379041.11%87391055010855
Total Séries éliminatoires372512000001841503418117000008972171914500000957817501843325160171634551362427458449281264368220870892528.09%923067.39%4519115444.97%562121246.37%30070242.74%903633853271511258

CHICAGO Wolves Leaders statistiques des joueurs (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
1Jansen Harkins361832501114525512114.88%1777121.4465111501110048.28%01.3000
2Morgan Barron281926451626926412315.45%1864122.923361001115049.73%11.4000
3Jack McBain251426401216788513210.61%1053521.420772001121053.12%01.4900
4Kole Lind37162238822516513711.68%1064917.54066710124154.43%01.1700
5Karson Kuhlman23122032120223610411.54%1142618.544261300011057.45%01.5000

CHICAGO 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
1Anthony Stolarz2016400.9172.751223215667800000
2Alex Lyon107110.8983.46572403332400000
3Adam Werner51310.8305.382900026153860000
4Mikhail Berdin20100.7787.27660083600000