Connexion

Chicago Wolves
GP: 72 | W: 47 | L: 22 | OTL: 3 | P: 97
GF: 254 | GA: 164 | PP%: 10.91% | PK%: 83.24%
DG: Yannick Masse | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Iowa Wild
45-25-2, 92pts
2
FINAL
5 Chicago Wolves
47-22-3, 97pts
Team Stats
L3SéquenceW3
24-10-2Fiche domicile25-10-1
21-15-0Fiche domicile22-12-2
5-5-0Derniers 10 matchs9-0-1
3.67Buts par match 3.53
2.67Buts contre par match 2.28
13.53%Pourcentage en avantage numérique10.91%
78.06%Pourcentage en désavantage numérique83.24%
Rockford IceHogs
23-48-1, 47pts
1
FINAL
8 Chicago Wolves
47-22-3, 97pts
Team Stats
L1SéquenceW3
12-23-1Fiche domicile25-10-1
11-25-0Fiche domicile22-12-2
4-6-0Derniers 10 matchs9-0-1
2.17Buts par match 3.53
4.32Buts contre par match 2.28
11.54%Pourcentage en avantage numérique10.91%
77.04%Pourcentage en désavantage numérique83.24%
Meneurs d'équipe
Buts
Charles Hudon
38
Passes
Victor Soderstrom
51
Points
Charles Hudon
78
Plus/Moins
Charles Hudon
81
Victoires
Louis Domingue
14
Pourcentage d’arrêts
Louis Domingue
0.904

Statistiques d’équipe
Buts pour
254
3.53 GFG
Tirs pour
2326
32.31 Avg
Pourcentage en avantage numérique
10.9%
18 GF
Début de zone offensive
44.6%
Buts contre
164
2.28 GAA
Tirs contre
1347
18.71 Avg
Pourcentage en désavantage numérique
83.2%%
30 GA
Début de la zone défensive
30.6%
Informations de l'équipe

Directeur généralYannick Masse
EntraîneurCaroline
DivisionSOUTHEAST
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,924
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure18
Limite contact 46 / 250
Espoirs34


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
1Gabriel DumontXX100.006040706569888462706364596273783440003231,999,999$
2Charles HudonX100.006937786568898566676064596769714750002931,750,000$
3Michael MerschX100.007440826483828363676463626671764744003031,999,999$
4Hudson FaschingX100.00733992658481846357626661636869493700281750,000$
5Lias AnderssonXX100.00673882647491776574616660636567845000242750,000$
6Alex TurcotteX100.00603880646976726266585960656264885000221894,167$
7Emilio PettersenX100.00573885626681826163626156626465495000231903,333$
8Pavel DorofeyevX100.00644080667684816462616859666365645000221925,000$
9Jakob Pelletier (R)X100.00623788676388836660676862696263804100222832,500$
10Simon RyforsX100.00603787646984876371646258636668425000263842,500$
11Steven KampferX100.00633979597276705830625557487577325000352800,000$
12Tommy CrossX100.007543695684727555305852574674794150003531,999,999$
13Simon BenoitX100.00904980638488856130645677486567421700253842,500$
14Robin SaloX100.00663988687882806430676261526567714400243842,500$
15Nikita OkhotiukX100.00794370637680786230606461526364675000221816,667$
16Victor SoderstromX100.00603879666985836530675861506264855000221863,333$
17Zac Jones (R)X100.00573785666684856530645963506364665000222925,000$
Rayé
1Daniel O'ReganX100.004035404035809040204040403025251150002921,999,999$
2Alex FormentonX100.00403540403580904020404040302525113700241750,000$
3Kristian Vesalainen (R)XX100.00403540403580904020404040302525115000241832,500$
4Lucas Elvenes (R)X100.00403540403580904020404040302525115000241750,000$
5Jonathan Davidsson (R)X100.00403540403580904020404040302525115000262787,500$
6Arttu RuotsalainenX100.00403540403580904020404040302525115000253925,000$
7Keean WashkurakX100.00583975566775805561535952576264495000222835,000$
8Cameron CrottyX100.00713986548068855330545256456466635000241925,000$
9Gianni FairbrotherX100.00403540403580904020404040302525115000232842,500$
10Simon LundmarkX100.00723992558166825430565355456365715000221850,833$
MOYENNE D’ÉQUIPE100.0060387157648183564256555550555746470
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
1Louis Domingue100.00578568855863636464557473859936003111,150,000$
Rayé
MOYENNE D’ÉQUIPE100.005785688558636364645574738599360
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Caroline30303030303011CAN43140,000$


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
1Charles HudonChicago Wolves (CAR)LW7238407881340103992939222512.97%13134018.620111358000056168.92%7400031.16110001743
2Lias AnderssonChicago Wolves (CAR)C/LW7232397167100551102295413613.97%495013.20145977000007380.33%91000011.4900000398
3Pavel DorofeyevChicago Wolves (CAR)LW722337606931550562256614910.22%7101714.1311210630110315170.18%5700001.1803100376
4Victor SoderstromChicago Wolves (CAR)D72951605364201404854204616.67%53123317.131451660011053000%000000.9700211287
5Gabriel DumontChicago Wolves (CAR)C/RW362918473117543721695215317.16%1065518.20651126890000135178.50%53500021.4302001724
6Michael MerschChicago Wolves (CAR)LW28152035341204831104248214.42%362922.471458600000563275.34%14600001.1124000343
7Simon RyforsChicago Wolves (CAR)C7217163326752253146369611.64%66258.690003121013323082.03%47300001.0500010132
8Zac JonesChicago Wolves (CAR)D724273126120324434143511.76%2099213.78112728000044110%000000.6200000012
9Hudson FaschingChicago Wolves (CAR)RW28141529302005124123317511.38%363722.7821310581012423075.00%4400000.9114000353
10Jakob PelletierChicago Wolves (CAR)LW1812172930402724103194711.65%145825.450119300115441082.98%4700011.2712000253
11Nikita OkhotiukChicago Wolves (CAR)D7261723225351654452273811.54%3189712.460002400003000%000000.5100000024
12Simon BenoitChicago Wolves (CAR)D262202230501060194316244.65%1158122.371012364011044000%000000.7600011002
13Robin SaloChicago Wolves (CAR)D2721820266020113513185.71%652819.590221363000061100%000000.7600000110
14Alex TurcotteChicago Wolves (CAR)C214812150015214812298.33%029814.2100000000001084.16%20200000.8000000110
15Tommy CrossChicago Wolves (CAR)D370991810037912290%541111.1300000000018000%000000.4400000000
16Josh MahuraCarolina HurricanesD10459120048224918.18%622022.092021335000022100%000000.8100000100
17Emilio PettersenChicago Wolves (CAR)LW2134710605724121712.50%321910.46000150001110087.50%800000.6400000000
18Yegor ChinakhovCarolina HurricanesRW2042622017122762914.81%1914.59000000000000100.00%300001.3145000234
19Steven KampferChicago Wolves (CAR)D21022100003070%21185.630000000009000%000000.3400000000
20Matthew HighmoreCarolina HurricanesLW/RW1011000218140%02323.45011110000300100.00%600000.8500000001
21Marco RossiCarolina HurricanesC2011100012130%02010.45000010000200100.00%1700000.9600000000
Statistiques d’équipe totales ou en moyenne800218367585584338508966941756502123112.41%1851195314.941625411647172461150237979.90%252200070.98921333465552
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
1Louis DomingueChicago Wolves (CAR)1514010.9040.8691026131350000.6258150001
Statistiques d’équipe totales ou en moyenne1514010.9040.8691026131350008150001


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 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 Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 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
Alex FormentonChicago Wolves (CAR)LW249/13/1999No195 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Alex TurcotteChicago Wolves (CAR)C222/26/2001No185 Lbs5 ft11NoNoN/ANoNo1Pro & Farm894,167$0$0$No------------------Lien
Arttu RuotsalainenChicago Wolves (CAR)C2510/29/1997No187 Lbs5 ft9NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------Lien
Cameron CrottyChicago Wolves (CAR)D245/5/1999No182 Lbs6 ft3NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------Lien
Charles HudonChicago Wolves (CAR)LW296/23/1994No190 Lbs5 ft10NoNoN/ANoNo3Pro & Farm1,750,000$0$0$No1,750,000$1,750,000$-------NoNo-------Lien
Daniel O'ReganChicago Wolves (CAR)C291/30/1994No180 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,999,999$0$0$No1,999,999$--------No--------Lien
Emilio PettersenChicago Wolves (CAR)LW234/3/2000No170 Lbs5 ft11NoNoN/ANoNo1Pro & Farm903,333$0$0$No------------------Lien
Gabriel DumontChicago Wolves (CAR)C/RW3210/6/1990No195 Lbs5 ft10NoNoN/ANoNo3Pro & Farm1,999,999$0$0$No1,999,999$1,999,999$-------NoNo-------Lien
Gianni FairbrotherChicago Wolves (CAR)D239/3/2000No192 Lbs6 ft0NoNoN/ANoNo2Pro & Farm842,500$0$0$No842,500$--------No--------Lien
Hudson FaschingChicago Wolves (CAR)RW287/28/1995No204 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Jakob PelletierChicago Wolves (CAR)LW223/7/2001Yes170 Lbs5 ft9NoNoN/ANoNo2Pro & Farm832,500$0$0$No832,500$--------No--------Lien
Jonathan DavidssonChicago Wolves (CAR)RW263/12/1997Yes185 Lbs5 ft11NoNoN/ANoNo2Pro & Farm787,500$0$0$No787,500$--------No--------Lien
Keean WashkurakChicago Wolves (CAR)C228/16/2001No184 Lbs5 ft10NoNoN/ANoNo2Pro & Farm835,000$0$0$No835,000$--------No--------Lien
Kristian VesalainenChicago Wolves (CAR)LW/RW246/1/1999Yes207 Lbs6 ft3NoNoN/ANoNo1Pro & Farm832,500$0$0$No------------------Lien
Lias AnderssonChicago Wolves (CAR)C/LW2410/13/1998No185 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Louis DomingueChicago Wolves (CAR)G313/6/1992No208 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,150,000$0$0$No------------------Lien
Lucas ElvenesChicago Wolves (CAR)C248/18/1999Yes173 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Michael MerschChicago Wolves (CAR)LW3010/2/1992 1:20:21 PMNo213 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,999,999$0$0$No1,999,999$1,999,999$-------NoNo-------Lien
Nikita OkhotiukChicago Wolves (CAR)D2212/4/2000No195 Lbs6 ft1NoNoN/ANoNo1Pro & Farm816,667$0$0$No------------------Lien
Pavel DorofeyevChicago Wolves (CAR)LW2210/26/2000No194 Lbs6 ft1NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------Lien
Robin SaloChicago Wolves (CAR)D2410/13/1998 2:16:42 AMNo190 Lbs6 ft2NoNoN/ANoNo3Pro & Farm842,500$0$0$No842,500$842,500$-------NoNo-------Lien
Simon BenoitChicago Wolves (CAR)D259/19/1998No203 Lbs6 ft3NoNoN/ANoNo3Pro & Farm842,500$0$0$No842,500$842,500$-------NoNo-------Lien
Simon LundmarkChicago Wolves (CAR)D2210/8/2000No201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm850,833$0$0$No------------------Lien
Simon RyforsChicago Wolves (CAR)C268/16/1997No181 Lbs5 ft11NoNoN/ANoNo3Pro & Farm842,500$0$0$No842,500$842,500$-------NoNo-------Lien
Steven KampferChicago Wolves (CAR)D359/24/1988No198 Lbs5 ft11NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Tommy CrossChicago Wolves (CAR)D359/14/1988No205 Lbs6 ft3NoNoN/ANoNo3Pro & Farm1,999,999$0$0$No1,999,999$1,999,999$-------NoNo-------Lien
Victor SoderstromChicago Wolves (CAR)D222/26/2001No184 Lbs5 ft11NoNoN/ANoNo1Pro & Farm863,333$0$0$No------------------Lien
Zac JonesChicago Wolves (CAR)D2210/18/2000Yes178 Lbs5 ft10NoNoN/ANoNo2Pro & Farm925,000$0$0$No925,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.61191 Lbs6 ft01.861,049,494$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael MerschGabriel DumontHudson Fasching38122
2Jakob PelletierLias AnderssonPavel Dorofeyev30122
3Pavel DorofeyevSimon RyforsMichael Mersch22122
4Charles HudonAlex TurcotteJakob Pelletier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon BenoitRobin Salo38122
2Zac JonesVictor Soderstrom30122
3Nikita OkhotiukTommy Cross22122
4Steven KampferSimon Benoit10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael MerschGabriel DumontHudson Fasching60122
2Jakob PelletierLias AnderssonPavel Dorofeyev40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon BenoitRobin Salo60122
2Zac JonesVictor Soderstrom40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael MerschJakob Pelletier60122
2Hudson FaschingPavel Dorofeyev40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon BenoitRobin Salo60122
2Zac JonesVictor Soderstrom40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Mersch60122Simon BenoitRobin Salo60122
2Jakob Pelletier40122Zac JonesVictor Soderstrom40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael MerschJakob Pelletier60122
2Hudson FaschingPavel Dorofeyev40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Simon BenoitRobin Salo60122
2Zac JonesVictor Soderstrom40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael MerschGabriel DumontHudson FaschingSimon BenoitRobin Salo
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael MerschGabriel DumontHudson FaschingSimon BenoitRobin Salo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Emilio Pettersen, Charles Hudon, Simon RyforsEmilio Pettersen, Charles HudonSimon Ryfors
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikita Okhotiuk, Tommy Cross, Steven KampferNikita OkhotiukTommy Cross, Steven Kampfer
Tirs de pénalité
Michael Mersch, Jakob Pelletier, Hudson Fasching, Pavel Dorofeyev, Gabriel Dumont
Gardien
#1 : Louis Domingue, #2 :


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
1Cleveland Monsters80800000732-2540400000416-1240400000316-1300.000712190011672636997727258162917654561183313.03%23960.87%01229180068.28%711123557.57%704100470.12%232118641304358721407
2Grand Rapids Griffins824000111522-74110001167-141300000915-670.43815274201116726361957727258162919259761322229.09%26388.46%01229180068.28%711123557.57%704100470.12%232118641304358721407
3Iowa Wild8700000131141744000000181174300000113310150.938315384021167263623277272581629111344512724312.50%20290.00%01229180068.28%711123557.57%704100470.12%232118641304358721407
4Manitoba Moose8700100044103444000000203174300100024717161.000448212603116726363317727258162911929471579222.22%20290.00%21229180068.28%711123557.57%704100470.12%232118641304358721407
5Milwaukee Admirals12102000005122296510000023101365100000281216200.8335191142041167263652477272581629224685726114214.29%26676.92%11229180068.28%711123557.57%704100470.12%232118641304358721407
6Rockford IceHogs1210100100622339651000003515206500010027819210.87562116178031167263646977272581629192457722326623.08%27485.19%01229180068.28%711123557.57%704100470.12%232118641304358721407
7San Diego Gulls44000000196132200000093622000000103781.00019355400116726361897727258162971241867300.00%10190.00%01229180068.28%711123557.57%704100470.12%232118641304358721407
8Texas Stars81600010825-174120001057-240400000318-1540.2508132101116726361377727258162917243451052827.14%20385.00%01229180068.28%711123557.57%704100470.12%232118641304358721407
9Tucson Roadrunners4310000017107211000008712200000093660.75017324900116726361507727258162990201472600.00%70100.00%01229180068.28%711123557.57%704100470.12%232118641304358721407
Total7244220112225416490362310000211287949362112011011268541970.67425446171501411672636232677272581629134737643512621651810.91%1793083.24%31229180068.28%711123557.57%704100470.12%232118641304358721407
_Since Last GM Reset7244220112225416490362310000211287949362112011011268541970.67425446171501411672636232677272581629134737643512621651810.91%1793083.24%31229180068.28%711123557.57%704100470.12%232118641304358721407
_Vs Conference8700100044103444000000203174300100024717161.000448212603116726363317727258162911929471579222.22%20290.00%21229180068.28%711123557.57%704100470.12%232118641304358721407

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7297W3254461715232613473764351262014
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7244221122254164
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
362310002112879
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
362112110112685
Derniers 10 matchs
WLOTWOTL SOWSOL
800011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1651810.91%1793083.24%3
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
7727258162911672636
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
1229180068.28%711123557.57%704100470.12%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
232118641304358721407


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
523Milwaukee Admirals0Chicago Wolves4BWSommaire du match
931Texas Stars0Chicago Wolves1BWSommaire du match
1254Chicago Wolves8Rockford IceHogs0AWSommaire du match
1362Texas Stars1Chicago Wolves2BWXXSommaire du match
1670Chicago Wolves1Iowa Wild2ALXXSommaire du match
1994Cleveland Monsters2Chicago Wolves0BLSommaire du match
25121Chicago Wolves6Tucson Roadrunners1AWSommaire du match
26136Chicago Wolves3Tucson Roadrunners2AWSommaire du match
33168Iowa Wild3Chicago Wolves4BWSommaire du match
34177Rockford IceHogs3Chicago Wolves5BWSommaire du match
37185Chicago Wolves1Grand Rapids Griffins3ALSommaire du match
40212Chicago Wolves7Milwaukee Admirals3AWSommaire du match
41220Milwaukee Admirals3Chicago Wolves5BWSommaire du match
46247Chicago Wolves3San Diego Gulls1AWSommaire du match
47261Chicago Wolves7San Diego Gulls2AWSommaire du match
51271Chicago Wolves4Grand Rapids Griffins6ALSommaire du match
54298San Diego Gulls1Chicago Wolves2BWSommaire du match
55307San Diego Gulls2Chicago Wolves7BWSommaire du match
60323Chicago Wolves0Texas Stars5ALSommaire du match
61339Chicago Wolves2Texas Stars6ALSommaire du match
64349Chicago Wolves3Iowa Wild1AWSommaire du match
68374Texas Stars3Chicago Wolves1BLSommaire du match
69383Rockford IceHogs3Chicago Wolves2BLSommaire du match
71387Manitoba Moose0Chicago Wolves6BWSommaire du match
74409Chicago Wolves4Milwaukee Admirals0AWSommaire du match
75421Milwaukee Admirals2Chicago Wolves1BLSommaire du match
79432Chicago Wolves2Milwaukee Admirals3ALSommaire du match
81446Grand Rapids Griffins3Chicago Wolves1BLSommaire du match
82459Cleveland Monsters5Chicago Wolves1BLSommaire du match
85469Texas Stars3Chicago Wolves1BLSommaire du match
88481Tucson Roadrunners4Chicago Wolves2BLSommaire du match
89496Tucson Roadrunners3Chicago Wolves6BWSommaire du match
96540Chicago Wolves0Texas Stars4ALSommaire du match
97547Chicago Wolves1Texas Stars3ALSommaire du match
102571Chicago Wolves3Rockford IceHogs2AWSommaire du match
106596Chicago Wolves4Manitoba Moose3AWXSommaire du match
107603Chicago Wolves5Manitoba Moose3AWSommaire du match
110631Milwaukee Admirals0Chicago Wolves4BWSommaire du match
111639Manitoba Moose2Chicago Wolves4BWSommaire du match
119652Chicago Wolves1Cleveland Monsters6ALSommaire du match
121668Chicago Wolves2Cleveland Monsters3ALSommaire du match
124706Chicago Wolves2Rockford IceHogs3ALXSommaire du match
127713Chicago Wolves4Milwaukee Admirals3AWSommaire du match
130730Chicago Wolves4Rockford IceHogs3AWSommaire du match
131740Cleveland Monsters2Chicago Wolves1BLSommaire du match
132751Cleveland Monsters7Chicago Wolves2BLSommaire du match
136769Milwaukee Admirals2Chicago Wolves5BWSommaire du match
138790Chicago Wolves5Milwaukee Admirals3AWSommaire du match
139800Iowa Wild4Chicago Wolves6BWSommaire du match
144818Chicago Wolves0Cleveland Monsters4ALSommaire du match
145829Chicago Wolves0Cleveland Monsters3ALSommaire du match
151861Chicago Wolves1Grand Rapids Griffins5ALSommaire du match
152879Rockford IceHogs4Chicago Wolves5BWSommaire du match
153886Milwaukee Admirals3Chicago Wolves4BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
158911Manitoba Moose0Chicago Wolves4BWSommaire du match
159922Manitoba Moose1Chicago Wolves6BWSommaire du match
160932Iowa Wild2Chicago Wolves3BWSommaire du match
163945Chicago Wolves5Rockford IceHogs0AWSommaire du match
165956Chicago Wolves6Iowa Wild0AWSommaire du match
166967Chicago Wolves3Iowa Wild0AWSommaire du match
170991Rockford IceHogs2Chicago Wolves7BWSommaire du match
1721002Grand Rapids Griffins0Chicago Wolves1BWSommaire du match
1731015Rockford IceHogs2Chicago Wolves8BWSommaire du match
1771029Chicago Wolves3Grand Rapids Griffins1AWSommaire du match
1801045Chicago Wolves6Manitoba Moose0AWSommaire du match
1811062Chicago Wolves9Manitoba Moose1AWSommaire du match
1861083Chicago Wolves6Milwaukee Admirals0AWSommaire du match
1871098Grand Rapids Griffins1Chicago Wolves2BWXXSommaire du match
1881105Grand Rapids Griffins3Chicago Wolves2BLXXSommaire du match
1931124Chicago Wolves5Rockford IceHogs0AWSommaire du match
1941138Iowa Wild2Chicago Wolves5BWSommaire du match
1951149Rockford IceHogs1Chicago Wolves8BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3010
Assistance69,42535,842
Assistance PCT96.42%99.56%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2924 - 97.47% 80,016$2,880,581$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,954,490$ 2,938,583$ 1,889,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
14,993$ 2,954,490$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 14,993$ 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