CHICAGO Wolves
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Ralph Beauchamp | Morale : 99 | Moyenne d’équipe : 64
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Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
nan GFG
Tirs pour
0
nan Avg
Pourcentage en avantage numérique
nan%
0 GF
Début de zone offensive
nan%
Buts contre
0
nan GAA
Tirs contre
0
nan Avg
Pourcentage en désavantage numérique
nan%
0 GA
Début de la zone défensive
nan%
Information d’équipe

Directeur généralRalph Beauchamp
EntraîneurRoss Yates
DivisionGuitard
ConférenceConference B
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistancenan
Billets de saison300


Information formation

Équipe Pro17
Équipe Mineure25
Limite contact 42 / 55
Espoirs52


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique54-21-2 (0.701%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)9-7
Stanley Cup0


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
1Joe VelenoX100.006236746577848264796362686762667899690202750,000$
2Trent FredericX100.007882596581748364716163576265677999680221925,000$
3Rem PitlickXX100.005739876272847365746263566467656699660233750,000$
4Maksim SushkoX100.005835956276818263575961586362647199660212750,000$
5Antoine MorandX100.005746786069869159685856546164636899650212750,000$
6Linus Olund (R)X100.005089716271475062705454525450504499550232750,000$
7Jonne TammelaX100.005089715768445057705252515250504499530231750,000$
8Kyle CapobiancoX100.007137896677767263306459585267646699670232750,000$
9Chad KrysX100.006342856071837859305652585065667399640223750,000$
Rayé
1Sam SteelXX100.0059359273718287688569645770656778997002241,200,000$
2Garrett PilonX100.005035956272847262766261635965636399660224750,000$
3Lukas JasekX100.005637886065818660756358575967644899650234850,000$
4Travis Barron (R)X100.005389645577505055505353515350504499540211750,000$
5Olli JuoleviX100.0069359567778076653062636953656786996902241,200,000$
MOYENNE D’ÉQUIPE100.00605282637374746262605958596262659964
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 SP
1Callum Booth100.00777579837675777675777667716199690
2Oscar Dansk100.00748382847372747372747373776699680
3Jakub Skarek100.00677876836665676665676663676699620
Rayé
MOYENNE D’ÉQUIPE100.0073797983727173727173726872649966
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ross Yates62626262757548CAN631300,000$


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
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


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 restantSalaire moyenSalaire moyen 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
Antoine MorandCHICAGO Wolves (VGK)C2118/02/1999No84 Kg180 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Callum BoothCHICAGO Wolves (VGK)G2321/05/1997No84 Kg193 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Chad KrysCHICAGO Wolves (VGK)D2210/04/1998No84 Kg180 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Garrett PilonCHICAGO Wolves (VGK)C2213/04/1998No86 Kg183 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Jakub SkarekCHICAGO Wolves (VGK)G2010/11/1999No89 Kg191 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Joe VelenoCHICAGO Wolves (VGK)C2013/01/2000No90 Kg185 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Jonne TammelaCHICAGO Wolves (VGK)C2305/08/1997No85 Kg178 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Kyle CapobiancoCHICAGO Wolves (VGK)D2313/08/1997No89 Kg185 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Linus OlundCHICAGO Wolves (VGK)C2305/06/1997Yes84 Kg183 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Lukas JasekCHICAGO Wolves (VGK)RW2328/08/1997No75 Kg180 CMNoNoNo4Pro & Farm850,000$850,000$850,000$850,000$0$0$No850,000$850,000$850,000$Lien
Maksim SushkoCHICAGO Wolves (VGK)RW2110/02/1999No94 Kg183 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Olli JuoleviCHICAGO Wolves (VGK)D2205/05/1998No83 Kg188 CMNoNoNo4Pro & Farm1,200,000$1,200,000$1,200,000$1,200,000$0$0$No1,200,000$1,200,000$1,200,000$Lien
Oscar DanskCHICAGO Wolves (VGK)G2628/02/1994No93 Kg191 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Rem PitlickCHICAGO Wolves (VGK)C/LW2302/04/1997No89 Kg180 CMNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Sam SteelCHICAGO Wolves (VGK)C/LW2203/02/1998No86 Kg180 CMNoNoNo4Pro & Farm1,200,000$1,200,000$1,200,000$1,200,000$0$0$No1,200,000$1,200,000$1,200,000$Lien
Travis BarronCHICAGO Wolves (VGK)LW2117/11/1998Yes91 Kg185 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Trent FredericCHICAGO Wolves (VGK)C2211/02/1998No92 Kg188 CMNoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1722.1887 Kg185 CM2.41819,118$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
131122
226122
323122
4Joe Veleno20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
131122
2Kyle Capobianco26122
323122
4Chad Krys20122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
155122
245122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Kyle Capobianco45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Kyle Capobianco45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15512255122
245122Kyle Capobianco45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Kyle Capobianco45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Trent Frederic, Rem Pitlick, Trent FredericRem Pitlick
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Chad Krys, Chad Krys
Tirs de pénalité
, , , ,
Gardien
#1 : Oscar Dansk, #2 : Callum Booth, #3 : Jakub Skarek
Lignes d’attaque personnalisées en prolongation
, , , , , , , Joe Veleno, , , Trent Frederic
Lignes de défense personnalisées en prolongation
, , Kyle Capobianco, ,


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,392,500$ 1,392,500$ 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$ 0 0$ 0$




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
368049210253031616615040261200020174898540239025101427765113316564880312132111686312510381047101637210763855912932485020.16%2294679.91%41859275967.38%1401232260.34%788120765.29%226817321657500911478
Total Saison régulière8049210253031616615040261200020174898540239025101427765113316564880312132111686312510381047101637210763855912932485020.16%2294679.91%41859275967.38%1401232260.34%788120765.29%226817321657500911478
Séries éliminatoires
36169700000464337430000023194954000002324-118467612201181413159120417019522531139812626569.23%31583.87%038163659.91%29355053.27%14125754.86%41030640010919394
Total Séries éliminatoires169700000464337430000023194954000002324-118467612201181413159120417019522531139812626569.23%31583.87%038163659.91%29355053.27%14125754.86%41030640010919394