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Chicago Wolves
GP: 4 | W: 0 | L: 3 | OTL: 1 | P: 1
GF: 8 | GA: 18 | PP%: 37.50% | PK%: 81.25%
DG: Max Arbour | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #57 vs Milwaukee Admirals

Centre de jeu
Grand Rapids Griffins
1-2-0, 2pts
4
3 Chicago Wolves
0-3-1, 1pts
Team Stats
W1SéquenceL2
0-1-0Fiche domicile0-1-1
1-1-0Fiche domicile0-2-0
1-2-0Derniers 10 matchs0-3-1
2.00Buts par match 2.00
4.00Buts contre par match 4.50
12.50%Pourcentage en avantage numérique37.50%
90.91%Pourcentage en désavantage numérique81.25%
Chicago Wolves
0-3-1, 1pts
1
6 Providence Bruins
2-0-1, 5pts
Team Stats
L2SéquenceW1
0-1-1Fiche domicile2-0-0
0-2-0Fiche domicile0-0-1
0-3-1Derniers 10 matchs2-0-1
2.00Buts par match 4.33
4.50Buts contre par match 2.00
37.50%Pourcentage en avantage numérique9.09%
81.25%Pourcentage en désavantage numérique71.43%
Chicago Wolves
0-3-1, 1pts
Jour 8
Milwaukee Admirals
1-2-0, 2pts
Statistiques d’équipe
L2SéquenceOTW1
0-1-1Fiche domicile0-1-0
0-2-0Fiche visiteur1-1-0
0-3-110 derniers matchs1-2-0
2.00Buts par match 2.67
4.50Buts contre par match 2.67
37.50%Pourcentage en avantage numérique0.00%
81.25%Pourcentage en désavantage numérique87.50%
Rochester Americans
2-1-0, 4pts
Jour 11
Chicago Wolves
0-3-1, 1pts
Statistiques d’équipe
W2SéquenceL2
1-1-0Fiche domicile0-1-1
1-0-0Fiche visiteur0-2-0
2-1-010 derniers matchs0-3-1
4.33Buts par match 2.00
3.33Buts contre par match 2.00
22.22%Pourcentage en avantage numérique37.50%
75.00%Pourcentage en désavantage numérique81.25%
Chicago Wolves
0-3-1, 1pts
Jour 13
Rockford IceHogs
2-0-0, 4pts
Statistiques d’équipe
L2SéquenceW2
0-1-1Fiche domicile1-0-0
0-2-0Fiche visiteur1-0-0
0-3-110 derniers matchs2-0-0
2.00Buts par match 6.50
4.50Buts contre par match 6.50
37.50%Pourcentage en avantage numérique66.67%
81.25%Pourcentage en désavantage numérique0.00%
Meneurs d'équipe
Bradly NadeauButs
Bradly Nadeau
1
Bradly NadeauPasses
Bradly Nadeau
3
Bradly NadeauPoints
Bradly Nadeau
4
Nikita PavlychevPlus/Moins
Nikita Pavlychev
0
Amir MiftakhovVictoires
Amir Miftakhov
0
Amir MiftakhovPourcentage d’arrêts
Amir Miftakhov
0.87

Statistiques d’équipe
Buts pour
8
2.00 GFG
Tirs pour
113
28.25 Avg
Pourcentage en avantage numérique
37.5%
3 GF
Début de zone offensive
41.0%
Buts contre
18
4.50 GAA
Tirs contre
131
32.75 Avg
Pourcentage en désavantage numérique
81.3%%
3 GA
Début de la zone défensive
41.3%
Informations de l'équipe

Directeur généralMax Arbour
DivisionCentral
ConférenceWest Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro28
Équipe Mineure19
Limite contact 47 / 250
Espoirs38


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
1Bradly NadeauX100.006834836768816166505465566660617840620212886,667$
2Nikita PavlychevX100.008653715795747756655855595668704140620291750,000$
3Skyler Brind'AmourX100.006536716279866058615062696066674240620271850,000$
4Josiah SlavinX100.00593765608486605961505077556773414061N0271750,000$
5Juha JaaskaX100.006538756476736258606450565467683640610281775,000$
6Viktor NeuchevX100.006437956073867759646157586263646640610221850,000$
7Evan VierlingX100.005936955768777256605859555764665640600241750,000$
8Givani SmithX100.00744365578368615650525058536870614059N0281750,000$
9Gleb TrikozovX100.007238945781776256545255535861636840590221862,500$
10Ryan SuzukiX100.006535836574696062615050555664657740590251850,000$
11Blake BiondiX100.006537915474757052565153555264665940580241750,000$
12David GagnonX100.006240755671636654585750535266684240580261750,000$
13Juuso ValimakiX100.006336906881876766306258685169687040660271900,000$
14Cal FooteX100.00854187589466685730595462476870724065N0271750,000$
15Charles Alexis LegaultX100.006541626390846162306060645162635640640231915,833$
16Joel NystromX100.0057348466688666633068546249636448406302441,225,000$
17Domenick FensoreX100.006733716064906059305050774664656140620251850,000$
18Bryce Montgomery (R)X100.008347545692666854305350594564664840620231854,910$
Rayé
1Justin RobidasX100.006633836466776063597267556562635540640231850,000$
2Noel GunlerX100.0067407957767970566159585557646672406002400$
3Mike ReillyX100.006036857279867065307153664976733740670331850,000$
4Dominik Badinka (R)X100.007140925580668654305352564661637740600203931,350$
5Aleksi HeimosalmiX100.006238855871667056305554534662647440590231850,000$
6Kyle MastersX100.0055369356706365553054525345626460405802300$
7Ronan SeeleyX100.005035835075866050305050634363644840570241850,000$
MOYENNE D’ÉQUIPE100.00663880607777665846575560536566584061
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
1Amir Miftakhov (R)100.0071767372706971706971706675474064N0261750,000$
2Nikita Quapp (R)100.0060726885595860595860596369494059N0231750,000$
Rayé
1Cayden Primeau100.00757470847473757473757467775840670272913,000$
MOYENNE D’ÉQUIPE100.0069747080686769686769686574514063
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
1Bradly NadeauChicago Wolves (RDL)LW4134-200411134177.69%19724.28112270000170052.27%4400000.8201000100
2Charles Alexis LegaultChicago Wolves (RDL)D4123-22038751114.29%29022.5111255000013000%000000.6700000010
3Josiah SlavinChicago Wolves (RDL)LW4112-2007916166.25%06215.7000000000000066.67%300000.6400000000
4Juuso ValimakiChicago Wolves (RDL)D4022-100175020%96215.680000000001000%000000.6400000000
5Nikita PavlychevChicago Wolves (RDL)C4112080131391511.11%09223.12011270000130056.44%10100000.4301000000
6Cal FooteChicago Wolves (RDL)D4112-2408530333.33%68822.1701105000012000%000000.4500000000
7Evan VierlingChicago Wolves (RDL)C4112-20011262816.67%06215.7000000000000050.00%7400000.6400000000
8Domenick FensoreChicago Wolves (RDL)D4011-6008107350%79223.2100036000013000%000000.2200000000
9Ryan SuzukiChicago Wolves (RDL)C4101-7208653120.00%17518.8700005000000022.22%900000.2600000000
10Viktor NeuchevChicago Wolves (RDL)RW40110000515370%18521.2701117000080057.14%700000.2401000000
11Joel NystromChicago Wolves (RDL)D4101-6005442125.00%39022.6410116000014000%000000.2200000000
12Givani SmithChicago Wolves (RDL)LW4000000200000%030.970000000001000%00000000000000
13Gleb TrikozovChicago Wolves (RDL)LW4000-400732240%06315.8400000000000033.33%30000000000000
14Juha JaaskaChicago Wolves (RDL)LW4000-520789330%07318.2600035000000042.86%70000001000000
15Skyler Brind'AmourChicago Wolves (RDL)C4000-54011611460%08020.1500025000260050.60%830000001000000
16Blake BiondiChicago Wolves (RDL)C4000000010000%000.050000000000000%00000000000000
17Bryce MontgomeryChicago Wolves (RDL)D4000-11001001040%36015.010000000000000%00000000000000
18David GagnonChicago Wolves (RDL)LW4000000030000%051.4200000000050080.00%50000000000000
Statistiques d’équipe totales ou en moyenne7281321-453209511111333837.08%33118716.49358196200021090052.08%33600000.3505000110
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
1Amir MiftakhovChicago Wolves (RDL)40310.8704.1824400171310100.800540000
Statistiques d’équipe totales ou en moyenne40310.8704.182440017131010540000


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Aleksi HeimosalmiChicago Wolves (RDL)D232003-05-08FINNo181 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-09FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Amir MiftakhovChicago Wolves (RDL)G262000-04-26RUSYes172 Lbs6 ft0YesNoDraftNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Blake BiondiChicago Wolves (RDL)C242002-04-24USANo197 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Bradly NadeauChicago Wolves (RDL)LW212005-05-05CANNo180 Lbs5 ft11NoNoAssign ManuallyNoNo22026-04-25FalseFalsePro & Farm886,667$0$0$No886,667$--------886,667$--------No--------Lien / Lien NHL
Bryce MontgomeryChicago Wolves (RDL)D232002-11-12USAYes230 Lbs6 ft4NoNoDraftNoNo12026-05-25FalseFalsePro & Farm854,910$0$0$No---------------------------Lien / Lien NHL
Cal FooteChicago Wolves (RDL)D271998-12-13CANNo224 Lbs6 ft5YesNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Cayden PrimeauChicago Wolves (RDL)G271999-08-11USANo205 Lbs6 ft3NoNoAssign ManuallyNoNo22026-09-09FalseFalsePro & Farm913,000$0$0$No913,000$--------913,000$--------No--------Lien / Lien NHL
Charles Alexis LegaultChicago Wolves (RDL)D232003-09-05CANNo220 Lbs6 ft4NoNoDraftNoNo12026-04-29FalseFalsePro & Farm915,833$0$0$No---------------------------Lien / Lien NHL
David GagnonChicago Wolves (RDL)LW262000-04-19CANNo181 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Domenick FensoreChicago Wolves (RDL)D252001-09-07USANo175 Lbs5 ft9NoNoAssign ManuallyNoNo12026-07-01FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Dominik BadinkaChicago Wolves (RDL)D202005-11-27CZEYes183 Lbs6 ft3NoNoDraftNoNo32026-05-25FalseFalsePro & Farm931,350$0$0$No931,350$931,350$-------931,350$931,350$-------NoNo-------Lien / Lien NHL
Evan VierlingChicago Wolves (RDL)C242002-06-20CANNo167 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Givani SmithChicago Wolves (RDL)LW281998-02-27CANNo214 Lbs6 ft2YesNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Gleb TrikozovChicago Wolves (RDL)LW222004-08-12RUSNo201 Lbs6 ft2NoNoAssign ManuallyNoNo12026-04-15FalseFalsePro & Farm862,500$0$0$No---------------------------Lien / Lien NHL
Joel NystromChicago Wolves (RDL)D242002-05-14SWENo178 Lbs5 ft11NoNoDraftNoNo42026-04-29FalseFalsePro & Farm1,225,000$0$0$No1,225,000$1,225,000$1,225,000$------1,225,000$1,225,000$1,225,000$------NoNoNo------Lien / Lien NHL
Josiah SlavinChicago Wolves (RDL)LW271998-12-31USANo205 Lbs6 ft3YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Juha JaaskaChicago Wolves (RDL)LW281998-02-09FINNo210 Lbs6 ft0NoNoAssign ManuallyNoNo12026-04-25FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Justin RobidasChicago Wolves (RDL)C232003-03-13CANNo176 Lbs5 ft8NoNoAssign ManuallyNoNo12026-09-09FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Juuso ValimakiChicago Wolves (RDL)D271998-10-06FINNo201 Lbs6 ft2NoNoAssign ManuallyNoNo12026-06-24FalseFalsePro & Farm900,000$0$0$No---------------------------Lien / Lien NHL
Kyle MastersChicago Wolves (RDL)D232003-04-09CANNo177 Lbs6 ft0NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Mike ReillyChicago Wolves (RDL)D331993-07-13USANo191 Lbs6 ft2NoNoAssign ManuallyNoNo12026-09-10FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Nikita PavlychevChicago Wolves (RDL)C291997-03-23RUSNo200 Lbs6 ft7NoNoAssign ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Nikita QuappChicago Wolves (RDL)G232003-01-25DEUYes207 Lbs6 ft3YesNoDraftNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Lien / Lien NHL
Noel GunlerChicago Wolves (RDL)RW242001-10-07SWENo176 Lbs6 ft2NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Ronan SeeleyChicago Wolves (RDL)D242002-08-02CANNo201 Lbs6 ft0NoNoAssign ManuallyNoNo12026-07-23FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Ryan SuzukiChicago Wolves (RDL)C252001-05-28CANNo196 Lbs6 ft1NoNoAssign ManuallyNoNo12026-07-01FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Skyler Brind'AmourChicago Wolves (RDL)C271999-07-27USANo195 Lbs6 ft2NoNoAssign ManuallyNoNo12026-09-09FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Viktor NeuchevChicago Wolves (RDL)RW222003-10-25RUSNo165 Lbs6 ft2NoNoAssign ManuallyNoNo12026-07-17FalseFalsePro & Farm850,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2824.93193 Lbs6 ft11.18779,081$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bradly NadeauNikita PavlychevViktor Neuchev40122
2Juha JaaskaSkyler Brind'AmourRyan Suzuki30122
3Josiah SlavinEvan VierlingGleb Trikozov20122
4Gleb TrikozovRyan SuzukiBradly Nadeau10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cal FooteCharles Alexis Legault40122
2Joel NystromDomenick Fensore30122
3Bryce MontgomeryJuuso Valimaki20122
4Cal FooteCharles Alexis Legault10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Bradly NadeauNikita PavlychevViktor Neuchev60122
2Juha JaaskaSkyler Brind'AmourRyan Suzuki40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cal FooteCharles Alexis Legault60122
2Joel NystromDomenick Fensore40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Bradly NadeauNikita Pavlychev60122
2Skyler Brind'AmourViktor Neuchev40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cal FooteCharles Alexis Legault60122
2Joel NystromDomenick Fensore40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Bradly Nadeau60122Cal FooteCharles Alexis Legault60122
2Nikita Pavlychev40122Joel NystromDomenick Fensore40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Bradly NadeauNikita Pavlychev60122
2Skyler Brind'AmourViktor Neuchev40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cal FooteCharles Alexis Legault60122
2Joel NystromDomenick Fensore40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bradly NadeauNikita PavlychevViktor NeuchevCal FooteCharles Alexis Legault
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Bradly NadeauNikita PavlychevViktor NeuchevCal FooteCharles Alexis Legault
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Givani Smith, Blake Biondi, David GagnonGivani Smith, Blake BiondiDavid Gagnon
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Bryce Montgomery, Cal Foote, Joel NystromBryce MontgomeryCharles Alexis Legault, Joel Nystrom
Tirs de pénalité
Bradly Nadeau, Nikita Pavlychev, Skyler Brind'Amour, Viktor Neuchev, Juha Jaaska
Gardien
#1 : Amir Miftakhov, #2 : Nikita Quapp


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
1Calgary Wranglers1000000134-11000000134-10000000000010.50034700332037353741529482722100.00%4175.00%07113652.21%7413754.01%305950.85%976794305225
2Grand Rapids Griffins1010000034-11010000034-10000000000000.000358003320263537415307622300.00%3166.67%07113652.21%7413754.01%305950.85%976794305225
3Providence Bruins20200000210-80000000000020200000210-800.000246003320503537415722218463133.33%9188.89%07113652.21%7413754.01%305950.85%976794305225
Total40300001818-102010000168-220200000210-810.1258132100332011335374151313332958337.50%16381.25%07113652.21%7413754.01%305950.85%976794305225
_Since Last GM Reset40300001818-102010000168-220200000210-810.1258132100332011335374151313332958337.50%16381.25%07113652.21%7413754.01%305950.85%976794305225
_Vs Conference2010000168-22010000168-20000000000010.2506915003320633537415591114495240.00%7271.43%07113652.21%7413754.01%305950.85%976794305225

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
41L28132111313133329500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4030001818
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
201000168
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2020000210
Derniers 10 matchs
WLOTWOTL SOWSOL
030001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
8337.50%16381.25%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
35374153320
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
7113652.21%7413754.01%305950.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
976794305225


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
13Chicago Wolves1Providence Bruins4LSommaire du match
323Calgary Wranglers4Chicago Wolves3LXXSommaire du match
537Grand Rapids Griffins4Chicago Wolves3LSommaire du match
640Chicago Wolves1Providence Bruins6LSommaire du match
857Chicago Wolves-Milwaukee Admirals-
1182Rochester Americans-Chicago Wolves-
1397Chicago Wolves-Rockford IceHogs-
16116Iowa Wild-Chicago Wolves-
18137Manitoba Moose-Chicago Wolves-
19144Chicago Wolves-Providence Bruins-
23171Rockford IceHogs-Chicago Wolves-
25188Chicago Wolves-Milwaukee Admirals-
27199Chicago Wolves-Texas Stars-
29215Hartford Wolf Pack-Chicago Wolves-
31232Springfield Thunderbirds-Chicago Wolves-
33249Chicago Wolves-Springfield Thunderbirds-
36270Chicago Wolves-Henderson Silver Knights-
37280Wilkes-Barre/Scranton Penguins-Chicago Wolves-
40303Henderson Silver Knights-Chicago Wolves-
42314Chicago Wolves-Idaho Timberwolves-
44331Chicago Wolves-Abbotsford Canucks-
45344Cleveland Monsters-Chicago Wolves-
48362Hamilton Hammers-Chicago Wolves-
50381Chicago Wolves-Milwaukee Admirals-
52395Charlotte Checkers-Chicago Wolves-
54414Chicago Wolves-Colorado Eagles-
56421Chicago Wolves-Texas Stars-
58437Providence Bruins-Chicago Wolves-
61460Iowa Wild-Chicago Wolves-
63476Chicago Wolves-Manitoba Moose-
66492Colorado Eagles-Chicago Wolves-
68506Chicago Wolves-Hamilton Hammers-
70522Orlando Lizards-Chicago Wolves-
72531Chicago Wolves-Providence Bruins-
74545Chicago Wolves-Bakersfield Condors-
76561Rockford IceHogs-Chicago Wolves-
78580Chicago Wolves-Belleville Senators-
80592Bakersfield Condors-Chicago Wolves-
83617Laval Rocket-Chicago Wolves-
85628Chicago Wolves-Laval Rocket-
87646Chicago Wolves-Springfield Thunderbirds-
90660Idaho Timberwolves-Chicago Wolves-
93683Abbotsford Canucks-Chicago Wolves-
96700Chicago Wolves-Belleville Senators-
98712Chicago Wolves-Lehigh Valley Phantoms-
99724Milwaukee Admirals-Chicago Wolves-
103749Ontario Reign-Chicago Wolves-
106771Chicago Wolves-Syracuse Crunch-
108782Syracuse Crunch-Chicago Wolves-
109798Chicago Wolves-Orlando Lizards-
111813Manitoba Moose-Chicago Wolves-
114837Grand Rapids Griffins-Chicago Wolves-
116848Chicago Wolves-Ontario Reign-
118865Chicago Wolves-Hartford Wolf Pack-
120875Calgary Wranglers-Chicago Wolves-
122885Chicago Wolves-Calgary Wranglers-
124906Chicago Wolves-Wilkes-Barre/Scranton Penguins-
126915Hartford Wolf Pack-Chicago Wolves-
129937Hershey Bears-Chicago Wolves-
130946Chicago Wolves-Coachella Valley Firebirds-
134974Belleville Senators-Chicago Wolves-
136988Chicago Wolves-Grand Rapids Griffins-
1381003Lehigh Valley Phantoms-Chicago Wolves-
1421031Calgary Wranglers-Chicago Wolves-
1441049Chicago Wolves-Rockford IceHogs-
1461064Toronto Marlies-Chicago Wolves-
1471070Chicago Wolves-Iowa Wild-
1491091Chicago Wolves-San Jose Barracuda-
1501100Chicago Wolves-Charlotte Checkers-
1521110Coachella Valley Firebirds-Chicago Wolves-
1541132Springfield Thunderbirds-Chicago Wolves-
1571151Chicago Wolves-Cleveland Monsters-
1581162Chicago Wolves-Rochester Americans-
1591171Rochester Americans-Chicago Wolves-
1621192Chicago Wolves-Utica Comets-
1641204San Jose Barracuda-Chicago Wolves-
1671225Chicago Wolves-Toronto Marlies-
1681233Chicago Wolves-Rochester Americans-
1691245Texas Stars-Chicago Wolves-
1731268Syracuse Crunch-Chicago Wolves-
1751276Chicago Wolves-Hershey Bears-
1791302Texas Stars-Chicago Wolves-
1811319Utica Comets-Chicago Wolves-
1831330Chicago Wolves-Calgary Wranglers-



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
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
70,368$ 2,181,426$ 2,181,426$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,728$ 70,368$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 180 11,728$ 2,111,040$




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