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Chicago Wolves
GP: 11 | W: 8 | L: 3 | OTL: 0 | P: 16
GF: 40 | GA: 33 | PP%: 29.03% | PK%: 77.78%
DG: Max Arbour | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #196 vs Iowa Wild

Centre de jeu
Chicago Wolves
8-3-0, 16pts
0
4 Iowa Wild
3-6-3, 9pts
Team Stats
W1SéquenceW1
5-1-0Fiche domicile2-3-1
3-2-0Fiche domicile1-3-2
7-3-0Derniers 10 matchs3-4-3
3.64Buts par match 2.08
3.00Buts contre par match 3.00
29.03%Pourcentage en avantage numérique25.00%
77.78%Pourcentage en désavantage numérique76.00%
Manitoba Moose
5-3-1, 11pts
2
3 Chicago Wolves
8-3-0, 16pts
Team Stats
L1SéquenceW1
4-1-1Fiche domicile5-1-0
1-2-0Fiche domicile3-2-0
5-3-1Derniers 10 matchs7-3-0
2.78Buts par match 3.64
2.22Buts contre par match 3.00
15.38%Pourcentage en avantage numérique29.03%
88.24%Pourcentage en désavantage numérique77.78%
Iowa Wild
3-6-3, 9pts
Jour 18
Chicago Wolves
8-3-0, 16pts
Statistiques d’équipe
W1SéquenceW1
2-3-1Fiche domicile5-1-0
1-3-2Fiche visiteur3-2-0
3-4-310 derniers matchs7-3-0
2.08Buts par match 3.64
3.00Buts contre par match 3.64
25.00%Pourcentage en avantage numérique29.03%
76.00%Pourcentage en désavantage numérique77.78%
Chicago Wolves
8-3-0, 16pts
Jour 19
Utica Comets
8-3-1, 17pts
Statistiques d’équipe
W1SéquenceL1
5-1-0Fiche domicile4-1-0
3-2-0Fiche visiteur4-2-1
7-3-010 derniers matchs6-3-1
3.64Buts par match 3.67
3.00Buts contre par match 3.67
29.03%Pourcentage en avantage numérique34.48%
77.78%Pourcentage en désavantage numérique77.78%
Chicago Wolves
8-3-0, 16pts
Jour 20
Texas Stars
9-3-0, 18pts
Statistiques d’équipe
W1SéquenceSOW1
5-1-0Fiche domicile6-0-0
3-2-0Fiche visiteur3-3-0
7-3-010 derniers matchs8-2-0
3.64Buts par match 4.00
3.00Buts contre par match 4.00
29.03%Pourcentage en avantage numérique18.52%
77.78%Pourcentage en désavantage numérique82.50%
Meneurs d'équipe
Viktor NeuchevButs
Viktor Neuchev
5
Charles Alexis LegaultPasses
Charles Alexis Legault
10
Viktor NeuchevPoints
Viktor Neuchev
13
Nikita PavlychevPlus/Moins
Nikita Pavlychev
7
Amir MiftakhovVictoires
Amir Miftakhov
3
Amir MiftakhovPourcentage d’arrêts
Amir Miftakhov
0.918

Statistiques d’équipe
Buts pour
40
3.64 GFG
Tirs pour
347
31.55 Avg
Pourcentage en avantage numérique
29.0%
9 GF
Début de zone offensive
38.7%
Buts contre
33
3.00 GAA
Tirs contre
372
33.82 Avg
Pourcentage en désavantage numérique
77.8%%
6 GA
Début de la zone défensive
42.4%
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 Pro27
Équipe Mineure20
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'AmourX100.006536716279866058615062696066674240620271750,000$
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$
13Cal FooteX100.00854187589466685730595462476870724065N0271750,000$
14Charles Alexis LegaultX100.006541626390846162306060645162635640640221915,833$
15Joel NystromX100.0057348466688666633068546249636448406302441,225,000$
16Domenick FensoreX100.006733716064906059305050774664656140620241850,000$
17Bryce Montgomery (R)X100.008347545692666854305350594564664840620231854,910$
18Dominik Badinka (R)X100.007140925580668654305352564661637740600203931,350$
Rayé
1Justin RobidasX100.0066338364667760635972675565626355406402300$
2Noah PhilpX100.0067378363837565627855565963676836406202800$
3Noel GunlerX100.0067407957767970566159585557646672406002400$
4Aleksi HeimosalmiX100.006238855871667056305554534662647440590231850,000$
5Kyle MastersX100.0055369356706365553054525345626460405802300$
6Ronan SeeleyX100.005035835075866050305050634363644840570241850,000$
MOYENNE D’ÉQUIPE100.00673880597776665849565559546466574061
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 Primeau100.007574708474737574737574677758406702700$
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
1Viktor NeuchevChicago Wolves (RDL)RW1158136002123263115.63%324722.480332280000120152.38%2100001.0501000201
2Skyler Brind'AmourChicago Wolves (RDL)C115712-140293445112611.11%221619.700555240000111041.75%28500011.1111000200
3Joel NystromChicago Wolves (RDL)D112911-120516911222.22%1225022.74224726000021100%000000.8800000100
4Charles Alexis LegaultChicago Wolves (RDL)D11010102601717269120%2725923.570331526000021000%000000.7700000001
5Juha JaaskaChicago Wolves (RDL)LW11369-1209152451412.50%320318.50000324000000027.27%1100000.8801000000
6Nikita PavlychevChicago Wolves (RDL)C113697100473019131015.79%326323.920113280000240049.39%33000000.6801000021
7Domenick FensoreChicago Wolves (RDL)D11448060361523121217.39%2025222.922131226000019010%000000.6300000111
8Ryan SuzukiChicago Wolves (RDL)C11358-12013162161414.29%421519.63101124000022039.47%3800000.7400000010
9Bradly NadeauChicago Wolves (RDL)LW114376007264315319.30%427525.011127280002282041.57%8900000.5101000100
10Cal FooteChicago Wolves (RDL)D1133638025122131314.29%1925222.92303925000018010%000000.4800000000
11Gleb TrikozovChicago Wolves (RDL)LW11314-3001081841216.67%217315.7800000000001056.25%1600000.4611000001
12Josiah SlavinChicago Wolves (RDL)LW11134-3401519294243.45%416414.9200000000000062.50%800000.4900000000
13Bryce MontgomeryChicago Wolves (RDL)D11134012024543325.00%915213.890000000000000%000000.5200000000
14Dominik BadinkaChicago Wolves (RDL)D111341202324750.00%1116114.6800000000010000%000000.5000000010
15Evan VierlingChicago Wolves (RDL)C11033-300324306150%116414.9200000000000056.84%19000000.3700000000
16Givani SmithChicago Wolves (RDL)LW1110110011101100.00%0111.05000000000300100.00%100001.7300000000
17Blake BiondiChicago Wolves (RDL)C11000000000000%010.110000000000000%00000000000000
18David GagnonChicago Wolves (RDL)LW11000000210010%080.7700000000070066.67%90000000000000
Statistiques d’équipe totales ou en moyenne19839741131358024725434710223811.24%124327216.53916256426600021837347.80%99800010.6926000755
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
1Brandon BussiRiviere-du-loup Draveurs75200.9072.9742400212250000.833670000
2Amir MiftakhovChicago Wolves (RDL)43100.9182.9624300121470000047010
Statistiques d’équipe totales ou en moyenne118300.9112.9766700333720006117010


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 ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Charles Alexis LegaultChicago Wolves (RDL)D222003-09-05CANNo220 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)D242001-09-07USANo175 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 ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Kyle MastersChicago Wolves (RDL)D232003-04-09CANNo177 Lbs6 ft0NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$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
Noah PhilpChicago Wolves (RDL)C281998-08-31CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo02026-04-15FalseFalsePro & Farm0$0$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 ManuallyNoNo12026-07-06FalseFalseFarm Only750,000$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
2724.59193 Lbs6 ft11.04674,121$



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 MontgomeryDominik Badinka20122
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, Dominik Badinka, Joel NystromBryce MontgomeryDominik Badinka, 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
1Grand Rapids Griffins21001000963110000006421000100032141.0009172600121793841111111211069236569333.33%10100.00%017238145.14%21841852.15%8718646.77%2561762678314471
2Iowa Wild1010000004-4000000000001010000004-400.0000000012179318111111121103617824100.00%4175.00%017238145.14%21841852.15%8718646.77%2561762678314471
3Lehigh Valley Phantoms10000010541100000105410000000000021.000571200121793301111111211033108223133.33%4250.00%017238145.14%21841852.15%8718646.77%2561762678314471
4Manitoba Moose2110000047-3110000003211010000015-420.500481200121793451111111211077208475120.00%40100.00%017238145.14%21841852.15%8718646.77%2561762678314471
5Milwaukee Admirals11000000532110000005320000000000021.00051015001217933311111112110359423100.00%2150.00%017238145.14%21841852.15%8718646.77%2561762678314471
6Rochester Americans11000000431000000000001100000043121.000481200121793291111111211030126152150.00%3166.67%017238145.14%21841852.15%8718646.77%2561762678314471
7Rockford IceHogs211000007431010000023-11100000051420.50071320001217937111111112110652210346116.67%50100.00%017238145.14%21841852.15%8718646.77%2561762678314471
8Texas Stars11000000624110000006240000000000021.0006111700121793371111111211027118264250.00%4175.00%017238145.14%21841852.15%8718646.77%2561762678314471
Total116301010403376410001027189522010001315-2160.727407411400121793347111111121103721245824731929.03%27677.78%017238145.14%21841852.15%8718646.77%2561762678314471
_Since Last GM Reset116301010403376410001027189522010001315-2160.727407411400121793347111111121103721245824731929.03%27677.78%017238145.14%21841852.15%8718646.77%2561762678314471
_Vs Conference9530100031265541000002214841201000912-3120.66731599000121793288111111121103091024421026726.92%20385.00%017238145.14%21841852.15%8718646.77%2561762678314471
_Vs Division153010006241410000062401201000000126.0006111700121793371111111211027118264250.00%4175.00%017238145.14%21841852.15%8718646.77%2561762678314471

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1116W140741143473721245824700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
116310104033
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
64100102718
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52210001315
Derniers 10 matchs
WLOTWOTL SOWSOL
531010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
31929.03%27677.78%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
11111112110121793
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
17238145.14%21841852.15%8718646.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2561762678314471


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
217Milwaukee Admirals3Chicago Wolves5WSommaire du match
335Texas Stars2Chicago Wolves6WSommaire du match
552Chicago Wolves5Rockford IceHogs1WSommaire du match
665Chicago Wolves1Manitoba Moose5LSommaire du match
779Lehigh Valley Phantoms4Chicago Wolves5WXXSommaire du match
892Chicago Wolves4Rochester Americans3WSommaire du match
10112Rockford IceHogs3Chicago Wolves2LSommaire du match
11129Chicago Wolves3Grand Rapids Griffins2WXSommaire du match
13142Grand Rapids Griffins4Chicago Wolves6WSommaire du match
14153Chicago Wolves0Iowa Wild4LSommaire du match
16173Manitoba Moose2Chicago Wolves3WSommaire du match
18196Iowa Wild-Chicago Wolves-
19210Chicago Wolves-Utica Comets-
20216Chicago Wolves-Texas Stars-
22238Texas Stars-Chicago Wolves-
23241Chicago Wolves-Belleville Senators-
24250Chicago Wolves-Milwaukee Admirals-
27280Utica Comets-Chicago Wolves-



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
3 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,820,126$ 1,820,126$ 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$ 12 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