Please rotate your device to landscape mode for a better experience.
Connexion

Chicago Wolves
GP: 6 | W: 2 | L: 4
GF: 17 | GA: 23 | PP%: 26.09% | PK%: 75.00%
DG: Xavier Berard | Morale : 13 | Moyenne d’équipe : 63

Centre de jeu
Chicago Wolves
2-4-0, 4pts
1
2 Bridgeport Islanders
9-7-0, 18pts
Team Stats
L2SéquenceL1
2-1-0Fiche domicile7-2-0
0-3-0Fiche domicile2-5-0
2-3-1Derniers 10 matchs5-3-2
2.83Buts par match 3.56
3.83Buts contre par match 3.19
26.09%Pourcentage en avantage numérique23.53%
75.00%Pourcentage en désavantage numérique78.13%
Bridgeport Islanders
9-7-0, 18pts
6
1 Chicago Wolves
2-4-0, 4pts
Team Stats
L1SéquenceL2
7-2-0Fiche domicile2-1-0
2-5-0Fiche domicile0-3-0
5-3-2Derniers 10 matchs2-3-1
3.56Buts par match 2.83
3.19Buts contre par match 3.83
23.53%Pourcentage en avantage numérique26.09%
78.13%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Joel KivirantaButs
Joel Kiviranta
4
Adam BoqvistPasses
Adam Boqvist
7
Adam BoqvistPoints
Adam Boqvist
7
Andreas EnglundPlus/Moins
Andreas Englund
2
Michael DipietroVictoires
Michael Dipietro
2
Michael DipietroPourcentage d’arrêts
Michael Dipietro
0.896

Statistiques d’équipe
Buts pour
17
2.83 GFG
Tirs pour
211
35.17 Avg
Pourcentage en avantage numérique
26.1%
6 GF
Début de zone offensive
40.7%
Buts contre
23
3.83 GAA
Tirs contre
210
35.00 Avg
Pourcentage en désavantage numérique
75.0%%
7 GA
Début de la zone défensive
40.6%
Informations de l'équipe

Directeur généralXavier Berard
EntraîneurRyan Parent
DivisionMetropolitan
ConférenceEastern Conference
CapitaineRyan Schmelzer
Assistant #1Garrett Wilson
Assistant #2Travis Boyd


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 60
Espoirs6


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
1Joel Kiviranta0XX100.007334926971778765586264746370720396603011,250,000$
2Martin Frk (R)0X100.007041736879877266636567646872740306603231,000,000$
3Travis Boyd (A)0XX100.006436926772827565737163626573750316603231,000,000$
4Brett Murray0XX100.008274836295788363686062646167690686502831,000,000$
5Garrett Pilon0X100.006439826373828462706662606367720626402831,000,000$
6Ryan Schmelzer (C)0XX100.006940796278818761706261606372770276403331,000,000$
7Tanner Laczynski0X100.006638846578847866726364626668700656402931,000,000$
8Gerry Mayhew0XXX100.006137826365848362686160626373750656303331,000,000$
9Jake Leschyshyn0XX100.006538816372738262676063646266680656302731,000,000$
10Brennan Othmann0XX100.006940736573848264586261636562640596302311,000,000$
11Jake Wise0XX100.005937886268798063676263616065670626302631,000,000$
12Caedan Bankier0X100.007040845979848257635662555962640656102311,000,000$
13Adam Boqvist0X100.006035957371877270307562645366680546602631,000,000$
14Jordan Harris0X100.00643490667086766330716272526667073650263925,000$
15Andreas Englund0X100.008073696386828358306657674669710656403031,000,000$
16Matthew Robertson0X100.007642746189858459306060624964660656302531,000,000$
17Tobie Paquette-Bisson0X100.007340815682658455305758584668700206102931,000,000$
18Cade Webber (R)0X100.008953815898637056305456614564660256102531,000,000$
Rayé
1Garrett Wilson (A)0XX100.007872505587768356625762595674790576203531,000,000$
2Wilmer Skoog0X100.007140805980868257635660585766680476102731,000,000$
3Corson Ceulemans0X100.00714084588071745630555757456264020600231925,000$
4Jakub Dvorak (R)0X100.008142815590626854305254574560620195902111,000,000$
5Tyrel Bauer0X100.007656615485648153305255564563650205802431,000,000$
MOYENNE D’ÉQUIPE100.0071448062797880615261616256676904863
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
1Michael Dipietro0100.00798480747877797877797866750716802731,000,000$
2Cooper Black0100.0073747098727173727173726471017640251950,000$
Rayé
1Waltteri Ignatjew0100.00717672837069717069717066750226302631,000,000$
MOYENNE D’ÉQUIPE100.007478748573727473727473657403765
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Parent67686569595587CAN3832,500,000$


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
1Adam BoqvistChicago Wolves (CAR)D607722029173120%615525.900331120000122000%000000.9000000000
2Joel KivirantaChicago Wolves (CAR)LW/RW6415-20015152731814.81%613722.852024180000281030.00%1000000.7300000000
3Jordan HarrisChicago Wolves (CAR)D6145-30051311359.09%2314424.13022415000027000%000000.6900000000
4Martin FrkChicago Wolves (CAR)RW62351401113307156.67%214223.711233190001150037.50%800000.7000000010
5Travis BoydChicago Wolves (CAR)C/RW62351002211961310.53%113422.38022019000061044.27%19200000.7400000101
6Andreas EnglundChicago Wolves (CAR)D61232120231173414.29%715325.59101320000021000%000000.3900000001
7Brett MurrayChicago Wolves (CAR)LW/RW6123080209266193.85%011919.97000115000010063.64%1100000.5000000000
8Matthew RobertsonChicago Wolves (CAR)D6123-34015583712.50%813823.07011415000120000%000000.4300000000
9Ryan SchmelzerChicago Wolves (CAR)C/RW6123-32067149137.14%010317.18112415000000044.44%900000.5800000000
10Tanner LaczynskiChicago Wolves (CAR)C6123-2203790711.11%16510.9900000000000051.61%9300000.9100000000
11Jake LeschyshynChicago Wolves (CAR)C/LW6112-2406614947.14%28013.45000000000150050.00%1600000.5000000000
12Brennan OthmannChicago Wolves (CAR)LW/RW6101-2209882812.50%06510.9300000000000033.33%300000.3100000000
13Cade WebberChicago Wolves (CAR)D6011-41201624350%108414.040000000006000%000000.2400000000
14Caedan BankierChicago Wolves (CAR)C6011-240794560%08714.6200000000000047.86%11700000.2300000000
15Jake WiseChicago Wolves (CAR)C/LW6101-20021252920.00%07813.111013160000300050.51%9900000.2500000000
16Garrett PilonChicago Wolves (CAR)C6000-100363290%2325.3500000000000070.27%370000000000000
17Gerry MayhewChicago Wolves (CAR)C/LW/RW6000-120313070%1294.9000000000000050.00%40000000000000
18Tobie Paquette-BissonChicago Wolves (CAR)D6000-420522420%47813.010000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne108173148-25600153156211701638.06%73183116.96611173717600031972048.91%59900000.5200000112
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
1Michael DipietroChicago Wolves (CAR)62300.8963.6331400191820100060100
2Cooper BlackChicago Wolves (CAR)10010.8573.9361004280000006000
Statistiques d’équipe totales ou en moyenne72310.8903.673760023210010066100


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam BoqvistChicago Wolves (CAR)D262000-08-15SWENo191 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Andreas EnglundChicago Wolves (CAR)D301996-01-21SWENo200 Lbs193 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Brennan OthmannChicago Wolves (CAR)LW/RW232003-01-05CANNo192 Lbs183 CMNoNoTrade2026-03-07NoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Brett MurrayChicago Wolves (CAR)LW/RW281998-07-20CANNo228 Lbs196 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Cade WebberChicago Wolves (CAR)D252001-01-05USAYes212 Lbs201 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Caedan BankierChicago Wolves (CAR)C232003-01-26CANNo192 Lbs188 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Cooper BlackChicago Wolves (CAR)G252001-06-14USANo223 Lbs203 CMNoNoFantasy DraftNoNo12025-08-17FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Corson CeulemansChicago Wolves (CAR)D232003-05-05CANNo198 Lbs188 CMNoNoTrade2025-08-31NoNo12025-08-17FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Garrett PilonChicago Wolves (CAR)C281998-04-13CANNo191 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Garrett WilsonChicago Wolves (CAR)LW/RW351991-03-16CANNo218 Lbs191 CMNoNoFantasy DraftYesNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Gerry MayhewChicago Wolves (CAR)C/LW/RW331992-12-31USANo161 Lbs175 CMNoNoFantasy DraftYesNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jake LeschyshynChicago Wolves (CAR)C/LW271999-03-10CANNo198 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jake WiseChicago Wolves (CAR)C/LW262000-02-28USANo189 Lbs178 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jakub DvorakChicago Wolves (CAR)D212005-05-25CZEYes203 Lbs196 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Joel KivirantaChicago Wolves (CAR)LW/RW301996-03-23FINNo185 Lbs180 CMNoNoTrade2025-10-08NoNo12025-08-17FalseFalsePro & Farm1,250,000$0$0$No---------------------------Lien / Lien NHL
Jordan HarrisChicago Wolves (CAR)D262000-07-07USANo187 Lbs180 CMNoNoFantasy DraftNoNo32026-03-07FalseFalsePro & Farm925,000$0$0$No1,338,000$1,338,000$-------1,338,000$1,338,000$-------NoNo-------Lien / Lien NHL
Martin FrkChicago Wolves (CAR)RW321993-10-05CZEYes210 Lbs185 CMNoNoFantasy DraftYesNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Matthew RobertsonChicago Wolves (CAR)D252001-03-09CANNo211 Lbs193 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Michael DipietroChicago Wolves (CAR)G271999-06-09CANNo200 Lbs183 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Ryan SchmelzerChicago Wolves (CAR)C/RW331993-07-28USANo188 Lbs188 CMNoNoFantasy DraftYesNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Tanner LaczynskiChicago Wolves (CAR)C291997-06-01USANo205 Lbs185 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Tobie Paquette-BissonChicago Wolves (CAR)D291997-02-01CANNo194 Lbs191 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Travis BoydChicago Wolves (CAR)C/RW321993-09-14USANo190 Lbs183 CMNoNoFantasy DraftYesNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Tyrel BauerChicago Wolves (CAR)D242002-03-23CANNo206 Lbs191 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Waltteri IgnatjewChicago Wolves (CAR)G261999-12-03FINNo200 Lbs191 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Wilmer SkoogChicago Wolves (CAR)C271999-07-17SWENo196 Lbs188 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2627.42199 Lbs188 CM2.541,001,923$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brett MurrayTravis BoydMartin Frk40023
2Joel KivirantaCaedan BankierRyan Schmelzer34113
3Jake LeschyshynTanner LaczynskiBrennan Othmann18131
4Jake WiseGarrett PilonGerry Mayhew8122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas EnglundAdam Boqvist42131
2Jordan HarrisMatthew Robertson36131
3Cade WebberTobie Paquette-Bisson22131
4Adam BoqvistJordan Harris0005
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel KivirantaTravis BoydMartin Frk65005
2Brett MurrayJake WiseRyan Schmelzer35005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam BoqvistAndreas Englund65014
2Jordan HarrisMatthew Robertson35014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jake WiseJoel Kiviranta60041
2Jake LeschyshynMartin Frk40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisAndreas Englund60140
2Adam BoqvistMatthew Robertson40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Gerry Mayhew60050Andreas EnglundJordan Harris60050
2Joel Kiviranta40050Adam BoqvistMatthew Robertson40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Travis BoydMartin Frk60023
2Jake WiseJoel Kiviranta40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisAndreas Englund60131
2Adam BoqvistMatthew Robertson40131
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brett MurrayTravis BoydMartin FrkAdam BoqvistMatthew Robertson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joel KivirantaTanner LaczynskiMartin FrkAndreas EnglundJordan Harris
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Garrett Pilon, Joel Kiviranta, Travis BoydTravis Boyd, Jake WiseTravis Boyd
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Andreas Englund, Adam Boqvist, Matthew RobertsonMatthew RobertsonAndreas Englund, Cade Webber
Tirs de pénalité
Tanner Laczynski, Garrett Pilon, Gerry Mayhew, Jake Leschyshyn, Brett Murray
Gardien
#1 : Michael Dipietro, #2 : Cooper Black
Lignes d’attaque personnalisées en prolongation
Travis Boyd, Martin Frk, Joel Kiviranta, Brett Murray, Garrett Pilon, Ryan Schmelzer, Tanner Laczynski, Jake Wise, Gerry Mayhew, Brennan Othmann
Lignes de défense personnalisées en prolongation
Tobie Paquette-Bisson, Adam Boqvist, Jordan Harris, Andreas Englund, Matthew Robertson


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
1Bridgeport Islanders624000001723-632100000810-230300000913-440.3331731480057502117362697210736015323626.09%28775.00%011924448.77%11324346.50%6111254.46%149101148457838
Total624000001723-632100000810-230300000913-440.3331731480057502117362697210736015323626.09%28775.00%011924448.77%11324346.50%6111254.46%149101148457838
_Since Last GM Reset624000001723-632100000810-230300000913-440.3331731480057502117362697210736015323626.09%28775.00%011924448.77%11324346.50%6111254.46%149101148457838
_Vs Conference624000001723-632100000810-230300000913-440.3331731480057502117362697210736015323626.09%28775.00%011924448.77%11324346.50%6111254.46%149101148457838
_Vs Division624000001723-632100000810-230300000913-440.3331731480057502117362697210736015323626.09%28775.00%011924448.77%11324346.50%6111254.46%149101148457838

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64L2173148211210736015300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400001723
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3210000810
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000913
Derniers 10 matchs
WLOTWOTL SOWSOL
230100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
23626.09%28775.00%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
73626975750
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
11924448.77%11324346.50%6111254.46%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
149101148457838


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 - 2026-04-201Chicago Wolves2Bridgeport Islanders4LSommaire du match
3 - 2026-04-229Chicago Wolves6Bridgeport Islanders7LXSommaire du match
5 - 2026-04-2417Bridgeport Islanders1Chicago Wolves3WSommaire du match
7 - 2026-04-2625Bridgeport Islanders3Chicago Wolves4WSommaire du match
9 - 2026-04-2833Chicago Wolves1Bridgeport Islanders2LSommaire du match
11 - 2026-04-3041Bridgeport Islanders6Chicago Wolves1LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance6,0003,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-3 3000 - 100.00% 124,100$372,300$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,605,000$ 2,605,000$ 2,500,000$0$
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