Connexion

Chicago Wolves
GP: 17 | W: 11 | L: 6
GF: 35 | GA: 20 | PP%: 14.71% | PK%: 96.67%
DG: Yannick Masse | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Utica Comets
14-7-0, 28pts
0
FINAL
2 Chicago Wolves
11-6-0, 22pts
Team Stats
L1SéquenceL1
8-3-0Fiche domicile6-2-0
6-4-0Fiche domicile5-4-0
5-3-2Derniers 10 matchs6-3-1
1.86Buts par match 2.06
1.48Buts contre par match 1.18
4.65%Pourcentage en avantage numérique14.71%
89.01%Pourcentage en désavantage numérique96.67%
Chicago Wolves
11-6-0, 22pts
0
FINAL
1 Utica Comets
14-7-0, 28pts
Team Stats
L1SéquenceL1
6-2-0Fiche domicile8-3-0
5-4-0Fiche domicile6-4-0
6-3-1Derniers 10 matchs5-3-2
2.06Buts par match 1.86
1.18Buts contre par match 1.48
14.71%Pourcentage en avantage numérique4.65%
96.67%Pourcentage en désavantage numérique89.01%
Meneurs d'équipe
Buts
Jakob Pelletier
6
Passes
Victor Soderstrom
8
Points
Jakob Pelletier
11
Plus/Moins
Jakob Pelletier
6
Victoires
Louis Domingue
11
Pourcentage d’arrêts
Louis Domingue
0.922

Statistiques d’équipe
Buts pour
35
2.06 GFG
Tirs pour
397
23.35 Avg
Pourcentage en avantage numérique
14.7%
10 GF
Début de zone offensive
48.7%
Buts contre
20
1.18 GAA
Tirs contre
255
15.00 Avg
Pourcentage en désavantage numérique
96.7%%
2 GA
Début de la zone défensive
33.7%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance3,000
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$
12Simon BenoitX100.00904980638488856130645677486567421700253842,500$
13Robin SaloX100.00663988687882806430676261526567714400243842,500$
14Nikita OkhotiukX100.00794370637680786230606461526364675000221816,667$
15Victor SoderstromX100.00603879666985836530675861506264855000221863,333$
16Zac 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$
8Tommy CrossX100.007543695684727555305852574674794150003531,999,999$
9Cameron CrottyX100.00713986548068855330545256456466635000241925,000$
10Gianni FairbrotherX100.00403540403580904020404040302525115000232842,500$
11Simon 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
1Jakob PelletierChicago Wolves (CAR)LW176511620151850122912.00%645426.732027520002591045.83%2400000.4800000221
2Gabriel DumontChicago Wolves (CAR)C/RW1737102951628376248.11%233419.66033558000071061.49%32200000.6000010120
3Hudson FaschingChicago Wolves (CAR)RW17549212012153593214.29%236421.463144600001292054.35%4600000.4900000100
4Victor SoderstromChicago Wolves (CAR)D1718951001915156166.67%736221.331121353000049000%000000.5000000021
5Zac JonesChicago Wolves (CAR)D1717851001915174115.88%836121.270111152000048100%000000.4400000012
6Michael MerschChicago Wolves (CAR)LW17437228036214611348.70%243325.512137560001471055.21%9600000.3200000102
7Pavel DorofeyevChicago Wolves (CAR)LW17437411523204413329.09%638422.6102211520000292065.00%2000000.3600001210
8Charles HudonChicago Wolves (CAR)LW173361801822407227.50%024214.2401115000003040.00%500000.5000000010
9Nikita OkhotiukChicago Wolves (CAR)D17066316031108330%825715.160002400000000%000000.4700000001
10Simon BenoitChicago Wolves (CAR)D17055-124104514168100%1441224.280331462000049000%000000.2400101000
11Alex TurcotteChicago Wolves (CAR)C173251208252321013.04%122113.0500000000000057.32%16400000.4500000001
12Lias AnderssonChicago Wolves (CAR)C/LW172245402223214249.52%224514.46011854000000062.99%25400000.3300000000
13Robin SaloChicago Wolves (CAR)D17224-12016172811.76%736421.452241262000056010%000000.2200000020
14Simon RyforsChicago Wolves (CAR)C17123-10031819295.26%117110.08000020000360065.73%14300000.3500000000
15Tommy CrossChicago Wolves (CAR)D1302231401583130%1120215.6100000000013000%000000.2000000000
16Emilio PettersenChicago Wolves (CAR)LW17011-220295170%217110.090000110000150062.50%1600000.1200000000
17Steven KampferChicago Wolves (CAR)D17000200021000%1784.590000100005000%00000000000000
Statistiques d’équipe totales ou en moyenne2853562973615420285269397912748.82%80506417.7710162695590000444811160.55%109000000.38001127118
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)1711510.9221.141050042025501000170201
Statistiques d’équipe totales ou en moyenne1711510.9221.14105004202550100170201


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 Okhotiuk22122
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, , Steven KampferNikita Okhotiuk, 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
1Charlotte Checkers440000001046220000004222200000062481.00010172701813131108118129136144011366114321.43%13284.62%031453159.13%23936765.12%10719255.73%502374349111199108
2Utica Comets734000001394321000007344130000066060.4291324370181313118511812913614121385613132515.63%240100.00%031453159.13%23936765.12%10719255.73%502374349111199108
3Wilkes-Barre/Scranton Penguins642000001275321000008623210000041380.6671221330281313110411812913614943162932229.09%230100.00%031453159.13%23936765.12%10719255.73%502374349111199108
Total17116000003520158620000019118954000001697220.647356297048131313971181291361425580154285681014.71%60296.67%031453159.13%23936765.12%10719255.73%502374349111199108
_Since Last GM Reset17116000003520158620000019118954000001697220.647356297048131313971181291361425580154285681014.71%60296.67%031453159.13%23936765.12%10719255.73%502374349111199108
_Vs Conference17116000003520158620000019118954000001697220.647356297048131313971181291361425580154285681014.71%60296.67%031453159.13%23936765.12%10719255.73%502374349111199108

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1722L13562973972558015428504
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1711600003520
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
86200001911
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
9540000169
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
681014.71%60296.67%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
11812913614813131
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
31453159.13%23936765.12%10719255.73%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
502374349111199108


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
12Chicago Wolves4Charlotte Checkers1AWSommaire du match
310Chicago Wolves2Charlotte Checkers1AWSommaire du match
518Charlotte Checkers2Chicago Wolves3BWXSommaire du match
726Charlotte Checkers0Chicago Wolves1BWSommaire du match
1557Chicago Wolves3Wilkes-Barre/Scranton Penguins0AWSommaire du match
1761Chicago Wolves0Wilkes-Barre/Scranton Penguins1ALSommaire du match
1965Wilkes-Barre/Scranton Penguins3Chicago Wolves1BLSommaire du match
2169Wilkes-Barre/Scranton Penguins1Chicago Wolves3BWSommaire du match
2373Chicago Wolves1Wilkes-Barre/Scranton Penguins0AWSommaire du match
2577Wilkes-Barre/Scranton Penguins2Chicago Wolves4BWSommaire du match
2985Chicago Wolves2Utica Comets3ALXSommaire du match
3187Chicago Wolves4Utica Comets1AWSommaire du match
3389Utica Comets2Chicago Wolves5BWSommaire du match
3591Utica Comets1Chicago Wolves0BLSommaire du match
3793Chicago Wolves0Utica Comets1ALSommaire du match
3995Utica Comets0Chicago Wolves2BWSommaire du match
4197Chicago Wolves0Utica Comets1ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3010
Assistance16,0008,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 3000 - 100.00% 82,600$660,800$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,938,583$ 1,889,500$ 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$




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