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Chicago Wolves
GP: 5 | W: 1 | L: 4
GF: 14 | GA: 24 | PP%: 50.00% | PK%: 33.33%
DG: Kevin Fedigan | Morale : 24 | Moyenne d’équipe : 59
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Centre de jeu
Henderson Silver Knights
9-5-0, 18pts
3
FINAL
4 Chicago Wolves
1-4-0, 2pts
Team Stats
OTL1StreakOTL1
5-3-0Home Record1-1-0
4-2-0Away Record0-3-0
6-3-1Last 10 Games1-3-1
3.43Buts par match 2.80
2.43Buts contre par match 4.80
60.00%Pourcentage en avantage numérique50.00%
42.86%Pourcentage en désavantage numérique33.33%
Chicago Wolves
1-4-0, 2pts
2
FINAL
3 Henderson Silver Knights
9-5-0, 18pts
Team Stats
OTL1StreakOTL1
1-1-0Home Record5-3-0
0-3-0Away Record4-2-0
1-3-1Last 10 Games6-3-1
2.80Buts par match 3.43
4.80Buts contre par match 2.43
50.00%Pourcentage en avantage numérique60.00%
33.33%Pourcentage en désavantage numérique42.86%
Meneurs d'équipe
Buts
Spencer Smallman
4
Steven LorentzPasses
Steven Lorentz
4
Points
Spencer Smallman
5
Plus/Moins
Jeremy Welsh
4
Victoires
Ivan Prosvetov
1
Pourcentage d’arrêts
Ivan Prosvetov
0.863

Statistiques d’équipe
Buts pour
14
2.80 GFG
Tirs pour
203
40.60 Avg
Pourcentage en avantage numérique
50.0%
3 GF
Début de zone offensive
41.0%
Buts contre
24
4.80 GAA
Tirs contre
170
34.00 Avg
Pourcentage en désavantage numérique
33.3%%
6 GA
Début de la zone défensive
32.9%
Informations de l'équipe

Directeur généralKevin Fedigan
DivisionWest Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro34
Équipe Mineure19
Limite contact 53 / 65
Espoirs46


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
1Justin Danforth0X100.00793589825283737069476868557376079650304975,000$
2Matt Nieto0XXX100.00684388885789846355535760557370081630302850,000$
3Steven Lorentz0X100.006135928472789763574660555565670786202741,050,000$
4Michael Ferland0XX100.008143818571676567555654575570640786103123,500,000$
5Andrew Agozzino0X100.00503595825561705755455063557869079580321800,000$
6Ethan Werek0X100.00633575786369694647555353456048079560321800,000$
7Robin Kovacs (R)0XX100.00665566626662695550555556555050072550261750,000$
8Rob Flick0X100.00627663635866645669555359504444079550321750,000$
9Spencer Smallman (R)0XX100.00613575785766654550525548546048051540263762,500$
10Michael Spacek (R)0X100.00643575715465685055554955466048079540261750,000$
11Jeremy Welsh0XXX100.00613575705465694954534852526048079530351750,000$
12Maxim Cajkovic (R)0XX100.00543575715769705052494948536048020530223850,833$
13Sebastian Aho (D)0X100.00583587885385936340635866406568078660274825,000$
14Jacob Moverare (R)0X100.00563592806767705940485077405868078640243750,000$
15Nils Lundkvist (R)0X100.00523595825479946040505666405365079630225925,000$
16Christian Jaros0X100.00623590827067665240405067406567079610271750,000$
17Mark Barberio0X100.00643575745455604652544756407358079560331800,000$
18Michael Kesselring (R)0X100.00613575686451614752545157407358079560233925,000$
Rayé
1Ryan Reaves0X100.009959788473789058555056555588760486303621,700,000$
2Trent Vogelhuber0X100.00715567606865645550555556555050039550341750,000$
3Mark MacMillan0X100.00665562636561755550555556555050071550311750,000$
4Alex Friesen0X100.00553575786169685148454647516048024530321750,000$
5Phil Lane0X100.00605562555860685550555555555050019530311750,000$
6Austin Fyten0X100.00454545454545454545354545454545020420321750,000$
7Danny Biega0X100.00533575685650655152535156407358039550311750,000$
8Mitchell Vande Sompel (R)0X100.00653575686256634954485250407358039550261750,000$
9Parker Wotherspoon (R)0X100.00573575696450695348495553407358039550251750,000$
10Nikolai Knyzhov (R)0X100.00593575715352665153495455407358039550251796,667$
11Jake Massie (R)0X100.00555555555555555555556555555555020530261750,000$
MOYENNE D’ÉQUIPE100.0062427673606570545151545748635805957
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
1Ivan Prosvetov (R)0100.0082705897917575757591505866079760242750,000$
2Adam Huska (R)0100.0082705696877575757587506369023750261750,000$
Rayé
1Jonathan Bernier0100.00887064929378787878936383810658003422,500,000$
2Veini Vehvilainen (R)0100.0075757585806771667070487272022710261925,000$
3Filip Lindberg (R)0100.0055555555555555555555555050022530243925,000$
MOYENNE D’ÉQUIPE100.007668628581707170717953656804271
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Spencer SmallmanChicago Wolves (CAR)C/LW5415-340145135830.77%010721.4801104000000041.67%1214000.9300000010
2Steven LorentzChicago Wolves (CAR)C5145-300613276183.70%210821.7010114000000056.41%15645000.9200000000
3Matt NietoChicago Wolves (CAR)C/LW/RW5224-500118288137.14%48717.57011010000000100.00%782000.9100000010
4Rob FlickChicago Wolves (CAR)C522440013582625.00%27014.1900000000051061.29%3133001.1300000001
5Jeremy WelshChicago Wolves (CAR)C/LW/RW521340074111618.18%16513.12000000000000100.00%222000.9100000000
6Ethan WerekChicago Wolves (CAR)C5123-5208411259.09%08717.5001101000000048.68%7611000.6900000000
7Michael FerlandChicago Wolves (CAR)LW/RW5123-3001353412242.94%110721.4010114000000055.56%9124000.5600000000
8Mark BarberioChicago Wolves (CAR)D5022120201010.00%46813.730000000000000.00%003000.5800000000
9Robin KovacsChicago Wolves (CAR)LW/RW5112-56016572614.29%08717.531011100000000.00%003000.4600000000
10Jacob MoverareChicago Wolves (CAR)D5022-520666460.00%812525.100110400005000.00%001000.3200000000
11Sebastian Aho (D)Chicago Wolves (CAR)D5022-50023149100.00%1012324.640001400002000.00%043000.3200000000
12Nils LundkvistChicago Wolves (CAR)D5011-3005107950.00%611623.270000200002000.00%092000.1700000000
13Maxim CajkovicChicago Wolves (CAR)LW/RW50114005311260.00%36412.83000000000000100.00%253000.3100000000
14Christian JarosChicago Wolves (CAR)D5000-300546310.00%912024.010000200005000.00%016000.00%00000000
15Andrew AgozzinoChicago Wolves (CAR)LW5000-320234220.00%0479.51000000000100100.00%120000.00%00000000
16Michael KesselringChicago Wolves (CAR)D5000100224000.00%36913.860000000000000.00%023000.00%00000000
17Michael SpacekChicago Wolves (CAR)C5000-300423220.00%0459.2000000000010063.64%1102000.00%00000000
18Justin DanforthChicago Wolves (CAR)RW5000-300658470.00%45110.2900000000150066.67%330000.00%00000000
Statistiques d’équipe totales ou en moyenne90142337-3518012787203731266.90%57155417.273474310001311056.45%3105747000.4800000021
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
1Ivan ProsvetovChicago Wolves (CAR)51310.8634.63259002014669100.00%050000
2Adam HuskaChicago Wolves (CAR)20000.8334.53530042414000.00%005000
Statistiques d’équipe totales ou en moyenne71310.8594.6231200241708310055000


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 Waiver Possible Contrat Type Salaire actuel Plafond 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 HuskaChicago Wolves (CAR)G265/12/1997Yes214 Lbs6 ft4NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Alex FriesenChicago Wolves (CAR)C321/30/1991No186 Lbs5 ft9NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Andrew AgozzinoChicago Wolves (CAR)LW321/3/1991No187 Lbs5 ft10NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Austin FytenChicago Wolves (CAR)LW325/3/1991No190 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Christian JarosChicago Wolves (CAR)D274/2/1996No222 Lbs6 ft3NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Danny BiegaChicago Wolves (CAR)D319/29/1991No205 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Ethan WerekChicago Wolves (CAR)C326/7/1991No189 Lbs6 ft1NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Filip LindbergChicago Wolves (CAR)G241/31/1999Yes180 Lbs6 ft0NoNoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Ivan ProsvetovChicago Wolves (CAR)G243/5/1999Yes195 Lbs6 ft5NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Jacob MoverareChicago Wolves (CAR)D248/31/1998Yes210 Lbs6 ft3NoNoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Jake MassieChicago Wolves (CAR)D261/21/1997 4:24:13 PMYes172 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$0$0$No
Jeremy WelshChicago Wolves (CAR)C/LW/RW354/30/1988No210 Lbs6 ft3NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Jonathan BernierChicago Wolves (CAR)G348/7/1988No185 Lbs6 ft0NoNoNoNo2Pro & Farm2,500,000$0$0$No2,500,000$Lien / Lien NHL
Justin DanforthChicago Wolves (CAR)RW303/15/1993No180 Lbs5 ft9NoNoNoNo4Pro & Farm975,000$0$0$No975,000$975,000$975,000$Lien / Lien NHL
Mark BarberioChicago Wolves (CAR)D333/23/1990No200 Lbs6 ft1NoNoNoNo1Pro & Farm800,000$0$0$NoLien
Mark MacMillanChicago Wolves (CAR)LW311/23/1992No172 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$0$0$No
Matt NietoChicago Wolves (CAR)C/LW/RW3011/5/1992No187 Lbs5 ft11NoNoNoNo2Pro & Farm850,000$0$0$No850,000$Lien / Lien NHL
Maxim CajkovicChicago Wolves (CAR)LW/RW221/3/2001Yes185 Lbs5 ft11NoNoNoNo3Pro & Farm850,833$0$0$No850,833$850,833$Lien
Michael Ferland (contrat à 1 volet)Chicago Wolves (CAR)LW/RW314/20/1992No215 Lbs6 ft0NoNoNoNo2Pro & Farm3,500,000$3,500,000$0$No3,500,000$
Michael KesselringChicago Wolves (CAR)D231/13/2000Yes190 Lbs6 ft4NoNoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Michael SpacekChicago Wolves (CAR)C264/9/1997Yes187 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Mitchell Vande SompelChicago Wolves (CAR)D262/11/1997Yes182 Lbs5 ft10NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Nikolai KnyzhovChicago Wolves (CAR)D253/20/1998Yes218 Lbs6 ft2NoNoNoNo1Pro & Farm796,667$0$0$NoLien
Nils LundkvistChicago Wolves (CAR)D227/27/2000Yes187 Lbs5 ft10NoNoNoNo5Pro & Farm925,000$0$0$No925,000$925,000$925,000$925,000$Lien / Lien NHL
Parker WotherspoonChicago Wolves (CAR)D258/24/1997Yes187 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Phil LaneChicago Wolves (CAR)RW315/28/1992No203 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$No
Rob FlickChicago Wolves (CAR)C323/27/1991No208 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$No
Robin KovacsChicago Wolves (CAR)LW/RW2611/16/1996Yes176 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$0$0$No
Ryan ReavesChicago Wolves (CAR)RW361/20/1987No225 Lbs6 ft2NoNoNoNo2Pro & Farm1,700,000$0$0$No1,700,000$Lien / Lien NHL
Sebastian Aho (D)Chicago Wolves (CAR)D272/17/1996No184 Lbs5 ft10NoNoNoNo4Pro & Farm825,000$0$0$No825,000$825,000$825,000$Lien
Spencer SmallmanChicago Wolves (CAR)C/LW269/3/1996Yes198 Lbs6 ft1NoNoNoNo3Pro & Farm762,500$0$0$No762,500$762,500$Lien
Steven LorentzChicago Wolves (CAR)C274/13/1996No206 Lbs6 ft4NoNoNoNo4Pro & Farm1,050,000$0$0$No1,050,000$1,050,000$1,050,000$Lien / Lien NHL
Trent VogelhuberChicago Wolves (CAR)RW347/12/1988No185 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$No
Veini VehvilainenChicago Wolves (CAR)G262/13/1997Yes181 Lbs6 ft0NoNoNoNo1Pro & Farm925,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3428.47194 Lbs6 ft11.82960,588$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Spencer SmallmanSteven LorentzMichael Ferland40122
2Matt NietoEthan WerekRobin Kovacs30122
3Jeremy WelshRob FlickMaxim Cajkovic20122
4Andrew AgozzinoMichael SpacekJustin Danforth10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastian Aho (D)Jacob Moverare40122
2Nils LundkvistChristian Jaros30122
3Michael KesselringMark Barberio20122
4Nils LundkvistChristian Jaros10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Spencer SmallmanSteven LorentzMichael Ferland60122
2Matt NietoEthan WerekRobin Kovacs40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastian Aho (D)Jacob Moverare60122
2Nils LundkvistChristian Jaros40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rob FlickJustin Danforth60122
2Michael SpacekAndrew Agozzino40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MoverareChristian Jaros60122
2Sebastian Aho (D)Nils Lundkvist40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rob Flick60122Jacob MoverareChristian Jaros60122
2Michael Spacek40122Sebastian Aho (D)Nils Lundkvist40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Steven LorentzMatt Nieto60122
2Ethan WerekMichael Ferland40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sebastian Aho (D)Michael Kesselring60122
2Christian JarosJacob Moverare40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matt NietoSteven LorentzJustin DanforthSebastian Aho (D)Jacob Moverare
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin DanforthRob FlickAndrew AgozzinoJacob MoverareChristian Jaros
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Ferland, Rob Flick, Ethan WerekMichael Ferland, Justin DanforthJustin Danforth
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nils Lundkvist, Jacob Moverare, Sebastian Aho (D)Michael KesselringSebastian Aho (D), Christian Jaros
Tirs de pénalité
Rob Flick, Nils Lundkvist, Matt Nieto, Michael Kesselring, Justin Danforth
Gardien
#1 : Ivan Prosvetov, #2 : Adam Huska
Lignes d’attaque personnalisées en prolongation
Rob Flick, Justin Danforth, Matt Nieto, Michael Ferland, Steven Lorentz, Ethan Werek, Ethan Werek, Andrew Agozzino, Jeremy Welsh, Michael Spacek, Spencer Smallman
Lignes de défense personnalisées en prolongation
Sebastian Aho (D), Jacob Moverare, Nils Lundkvist, Christian Jaros, Michael Kesselring


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
1Henderson Silver Knights514000001424-102110000067-130300000817-920.200142337005450203458072617057181276350.00%9633.33%07212756.69%6010258.82%438153.09%11164102479946
Total514000001424-102110000067-130300000817-920.200142337005450203458072617057181276350.00%9633.33%07212756.69%6010258.82%438153.09%11164102479946
_Since Last GM Reset514000001424-102110000067-130300000817-920.200142337005450203458072617057181276350.00%9633.33%07212756.69%6010258.82%438153.09%11164102479946
_Vs Conference514000001424-102110000067-130300000817-920.200142337005450203458072617057181276350.00%9633.33%07212756.69%6010258.82%438153.09%11164102479946

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52OTL1142337203170571812700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001424
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000067
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000817
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
6350.00%9633.33%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
45807265450
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
7212756.69%6010258.82%438153.09%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11164102479946


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2023-03-047Chicago Wolves2Henderson Silver Knights8ALSommaire du match
2 - 2023-03-0515Chicago Wolves4Henderson Silver Knights6ALSommaire du match
3 - 2023-03-0623Henderson Silver Knights4Chicago Wolves2BLSommaire du match
4 - 2023-03-0731Henderson Silver Knights3Chicago Wolves4BWSommaire du match
5 - 2023-03-0839Chicago Wolves2Henderson Silver Knights3ALXSommaire 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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,916,000$ 2,876,000$ 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$ 0 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

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

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

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

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