Connexion

Chicago Wolves
GP: 20 | W: 8 | L: 7 | OTL: 5 | P: 21
GF: 45 | GA: 53 | PP%: 23.81% | PK%: 55.56%
DG: Erik Beheim | Morale : 44 | Moyenne d’équipe : 53
Prochains matchs #329 vs Wilkes-Barre Scranton Penguins
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Centre de jeu
Chicago Wolves
8-7-5, 21pts
3
FINAL
2 Syracuse Crunch
3-16-1, 7pts
Team Stats
W2SéquenceL3
5-2-3Fiche domicile3-6-1
3-5-2Fiche domicile0-10-0
5-2-3Derniers 10 matchs2-7-1
2.25Buts par match 1.80
2.65Buts contre par match 3.30
23.81%Pourcentage en avantage numérique28.00%
55.56%Pourcentage en désavantage numérique65.52%
Rockford IceHogs
8-10-4, 20pts
2
FINAL
3 Chicago Wolves
8-7-5, 21pts
Team Stats
L4SéquenceW2
2-6-2Fiche domicile5-2-3
6-4-2Fiche domicile3-5-2
1-7-2Derniers 10 matchs5-2-3
2.68Buts par match 2.25
2.91Buts contre par match 2.65
34.48%Pourcentage en avantage numérique23.81%
61.54%Pourcentage en désavantage numérique55.56%
Wilkes-Barre Scranton Penguins
7-12-2, 16pts
Jour 45
Chicago Wolves
8-7-5, 21pts
Statistiques d’équipe
W1SéquenceW2
4-5-1Fiche domicile5-2-3
3-7-1Fiche visiteur3-5-2
4-6-010 derniers matchs5-2-3
2.00Buts par match 2.25
2.52Buts contre par match 2.25
33.33%Pourcentage en avantage numérique23.81%
78.57%Pourcentage en désavantage numérique55.56%
Chicago Wolves
8-7-5, 21pts
Jour 48
Lehigh Valley Phantoms
15-4-2, 32pts
Statistiques d’équipe
W2SéquenceW2
5-2-3Fiche domicile7-3-0
3-5-2Fiche visiteur8-1-2
5-2-310 derniers matchs7-2-1
2.25Buts par match 3.33
2.65Buts contre par match 3.33
23.81%Pourcentage en avantage numérique17.95%
55.56%Pourcentage en désavantage numérique54.55%
Milwaukee Admirals
16-5-1, 33pts
Jour 50
Chicago Wolves
8-7-5, 21pts
Statistiques d’équipe
W1SéquenceW2
7-2-1Fiche domicile5-2-3
9-3-0Fiche visiteur3-5-2
5-4-110 derniers matchs5-2-3
3.50Buts par match 2.25
2.59Buts contre par match 2.25
31.82%Pourcentage en avantage numérique23.81%
83.33%Pourcentage en désavantage numérique55.56%
Meneurs d'équipe
Buts
Joel L'Esperance
9
Riley NashPasses
Riley Nash
10
Riley NashPoints
Riley Nash
15
Plus/Moins
Scott Morrow
8
Victoires
Troy Grosenick
8
Pourcentage d’arrêts
Troy Grosenick
0.916

Statistiques d’équipe
Buts pour
45
2.25 GFG
Tirs pour
560
28.00 Avg
Pourcentage en avantage numérique
23.8%
5 GF
Début de zone offensive
35.5%
Buts contre
53
2.65 GAA
Tirs contre
594
29.70 Avg
Pourcentage en désavantage numérique
55.6%%
8 GA
Début de la zone défensive
36.9%
Informations de l'équipe

Directeur généralErik Beheim
EntraîneurRod Brind'Amour
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,483
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 60
Espoirs30


Historique d'équipe

Saison actuelle8-7-5 (21PTS)
Historique81-59-25 (0.491%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)10 - 9 (0.526%)
Coupe Stanley0


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
1Riley Nash0XX100.00655583677250706075595359506958158580341775,000$
2Michael Vecchione0XX100.00613690666550835775575361256154154560301750,000$
3Jasper Weatherby0XX100.00655988638250825575514860255149155560251775,000$
4Joel L'Esperance0XX100.00645887657750795675515657255551155560281750,000$
5Mason Jobst0XX100.00635586686050816075595555255953152550291750,000$
6Ryan Suzuki (R)0X100.00583594677050755975575154644646151540221863,333$
7Vincent Arseneau0XX100.00757074607850715245444457256355150540311750,000$
8Evan Polei0XX100.00695984598050684645454157255551149530271750,000$
9Josh Melnick0XX100.00583594646350845475554356575752149530281750,000$
10Vasily Ponomarev (R)0X100.00583492686350725875604951504545155530212795,000$
11Jamieson Rees (R)0X100.00593489606350754475493457254646149500221839,167$
12Jackson Blake (R)0X100.004930995144853056304949493029307549490203905,833$
13Steven Kampfer0X100.00645685656750725225584358257159150560351750,000$
14Wyatt Newpower0X100.00716575607850664725503760255350157560261787,500$
15Jack Ahcan0X100.00635585666050845425604361255350153550262775,000$
16Brogan Rafferty0X100.00583695656950805225594259505651140550282775,000$
17Scott Morrow (R)0X100.005030996069863150305050573030327253540213916,667$
18Domenick Fensore (R)0X100.00563190655150695125564254254646148510222925,000$
Rayé
1Anton Wahlberg (R)0X100.004430955068453733403532433026263030410181896,667$
2Tomas Hamara (R)0X100.003530993757413030303030413028292938370191831,667$
MOYENNE D’ÉQUIPE100.00594589616753675151524555335047115053
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
1Troy Grosenick0100.0064605165635960595963506958164590341775,000$
2Felix Sandstrom0100.0060605074606455545964615251154580261775,000$
Rayé
1Dustin Tokarski0100.0059575067525149495259506857140530341775,000$
MOYENNE D’ÉQUIPE100.006159506958585554576254635515357
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rod Brind'Amour60606060996050CAN551500,000$


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
1Riley NashChicago Wolves (CAR)C/RW205101539533355515519.09%2140720.39000319000092057.31%4171712000.7401001210
2Ryan SuzukiChicago Wolves (CAR)C2041014-52023416422556.25%638819.430001180001100053.25%154911000.7202000120
3Joel L'EsperanceChicago Wolves (CAR)C/RW209514375262573184212.33%1038919.45022015000000053.85%26143000.7200001103
4Michael VecchioneChicago Wolves (CAR)C/RW20571200025406120398.20%736818.440112171011101053.88%206227000.6500000101
5Jasper WeatherbyChicago Wolves (CAR)C/LW206511320322536101716.67%734617.32213214000000263.16%1966010.6300000121
6Mason JobstChicago Wolves (CAR)C/LW2036934031164621276.52%933816.9300000011090054.55%11145000.5300000010
7Vasily PonomarevChicago Wolves (CAR)C20538-320172246132810.87%829114.5900000000002141.67%12135000.5501000100
8Jack AhcanChicago Wolves (CAR)D20066-41351936319160%2948824.4401101900009000%0716000.2500100100
9Vincent ArseneauChicago Wolves (CAR)LW/RW20325-3204232214814.29%927613.8300000000020022.22%945000.3600000011
10Scott MorrowChicago Wolves (CAR)D20055800122217450%2241420.71000014000011000%075000.2400000000
11Jamieson ReesChicago Wolves (CAR)C2022425522321961310.53%839019.50112115000001036.36%2238000.2112010001
12Wyatt NewpowerChicago Wolves (CAR)D201346115342218145.56%1640820.4511221400008100%0314000.2000100001
13Evan PoleiChicago Wolves (CAR)C/LW20112-720162283412.50%522211.1310112000021029.41%1731000.1802000000
14Domenick FensoreChicago Wolves (CAR)D20022-50013206340%1830815.430000100003000%017000.1300000000
15Steven KampferChicago Wolves (CAR)D20022-35524402412180%3549124.56000119000012000%11019000.0800001001
16Josh MelnickChicago Wolves (CAR)C/RW20112-42013192610163.85%61798.9701112000000057.45%4724000.2202000000
17Brogan RaffertyChicago Wolves (CAR)D6022100125300%29315.510000000000000%002000.4300000000
18Tomas HamaraChicago Wolves (CAR)D14011-700184020%520514.710000000000000%002000.1000000000
19Jackson BlakeChicago Wolves (CAR)RW20000000010000%0221.13000010000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne3604573118-1266303844605601743498.04%223603216.765813141781122928354.35%942135132010.39110213879
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
1Troy GrosenickChicago Wolves (CAR)208750.9162.4811620148569329000.70010200210
2Felix SandstromChicago Wolves (CAR)20000.8803.275500325120000020000
Statistiques d’équipe totales ou en moyenne228750.9142.511218015159434100102020210


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
Anton WahlbergChicago Wolves (CAR)C182005-12-31SWEYes194 Lbs6 ft3NoNoFree AgentNoNo12024-08-19FalseFalsePro & Farm896,667$0$0$No---------------------------
Brogan RaffertyChicago Wolves (CAR)D281995-12-31USANo195 Lbs6 ft0NoNoFree AgentNoNo22024-09-30FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Domenick FensoreChicago Wolves (CAR)D222001-12-31USAYes153 Lbs5 ft7NoNoFree AgentNoNo22024-08-15FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Dustin TokarskiChicago Wolves (CAR)G341989-12-31CANNo205 Lbs6 ft0NoNoFree AgentNoNo12024-09-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Evan PoleiChicago Wolves (CAR)C/LW271996-12-31CANNo229 Lbs6 ft2NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Felix SandstromChicago Wolves (CAR)G261997-12-31SWENo192 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Jack AhcanChicago Wolves (CAR)D261997-12-31USANo185 Lbs5 ft8NoNoFree AgentNoNo22024-09-30FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Jackson BlakeChicago Wolves (CAR)RW202003-12-31USAYes173 Lbs5 ft10NoNoFree AgentNoNo32024-08-13FalseFalsePro & Farm905,833$0$0$No905,833$905,833$-------905,833$905,833$-------NoNo-------
Jamieson ReesChicago Wolves (CAR)C222001-12-31CANYes182 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm839,167$0$0$No---------------------------Lien / Lien NHL
Jasper WeatherbyChicago Wolves (CAR)C/LW251998-12-31USANo216 Lbs6 ft4NoNoFree AgentNoNo12024-09-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Joel L'EsperanceChicago Wolves (CAR)C/RW281995-12-31USANo210 Lbs6 ft2NoNoFree Agent2024-07-07NoNo12024-09-07FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Josh MelnickChicago Wolves (CAR)C/RW281995-12-31USANo181 Lbs5 ft10NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Mason JobstChicago Wolves (CAR)C/LW291994-12-31USANo185 Lbs5 ft8NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Michael VecchioneChicago Wolves (CAR)C/RW301993-12-31USANo195 Lbs5 ft10NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Riley NashChicago Wolves (CAR)C/RW341989-12-31CANNo185 Lbs6 ft2NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Ryan SuzukiChicago Wolves (CAR)C222001-12-31CANYes180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm863,333$0$0$No---------------------------Lien / Lien NHL
Scott MorrowChicago Wolves (CAR)D212002-12-31USAYes195 Lbs6 ft2NoNoFree AgentNoNo32024-08-10FalseFalsePro & Farm916,667$0$0$No916,667$916,667$-------916,667$916,667$-------NoNo-------
Steven KampferChicago Wolves (CAR)D351988-12-31USANo198 Lbs5 ft11NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Tomas HamaraChicago Wolves (CAR)D192004-12-31CZEYes185 Lbs6 ft0NoNoFree AgentNoNo12024-08-19FalseFalsePro & Farm831,667$0$0$No---------------------------
Troy GrosenickChicago Wolves (CAR)G341989-12-31USANo190 Lbs6 ft1NoNoFree AgentNoNo12024-09-01FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Vasily PonomarevChicago Wolves (CAR)C212002-12-31RUSYes180 Lbs5 ft10NoNoFree AgentNoNo22024-08-15FalseFalsePro & Farm795,000$0$0$No795,000$--------795,000$--------No--------Lien
Vincent ArseneauChicago Wolves (CAR)LW/RW311992-12-31CANNo216 Lbs6 ft2NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm750,000$0$0$No---------------------------Lien / Lien NHL
Wyatt NewpowerChicago Wolves (CAR)D261997-12-31USANo194 Lbs6 ft3NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm787,500$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.35192 Lbs6 ft01.35801,558$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel L'EsperanceRiley NashJamieson Rees37113
2Jasper WeatherbyMichael VecchioneMason Jobst30113
3Vincent ArseneauRyan SuzukiVasily Ponomarev23122
4Ryan SuzukiJosh MelnickEvan Polei10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Steven KampferJack Ahcan45122
2Wyatt NewpowerScott Morrow33122
3Domenick FensoreBrogan Rafferty22122
4Steven KampferJack Ahcan0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan SuzukiRiley NashMichael Vecchione60122
2Joel L'EsperanceJasper WeatherbyJamieson Rees40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Steven KampferJack Ahcan50122
2Wyatt NewpowerScott Morrow50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Riley NashRyan Suzuki50122
2Michael VecchioneMason Jobst50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack AhcanSteven Kampfer50122
2Scott MorrowWyatt Newpower50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Suzuki50122Jack AhcanSteven Kampfer50122
2Vincent Arseneau50122Wyatt NewpowerDomenick Fensore50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael VecchioneJamieson Rees50122
2Riley NashRyan Suzuki50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Steven KampferJack Ahcan50122
2Domenick FensoreScott Morrow50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael VecchioneRiley NashRyan SuzukiSteven KampferJack Ahcan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael VecchioneRiley NashRyan SuzukiSteven KampferJack Ahcan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Evan Polei, Vasily Ponomarev, Ryan SuzukiRyan Suzuki, Josh MelnickRyan Suzuki
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Ahcan, Steven Kampfer, Wyatt NewpowerJack AhcanScott Morrow, Steven Kampfer
Tirs de pénalité
Evan Polei, Ryan Suzuki, Josh Melnick, Jamieson Rees, Riley Nash
Gardien
#1 : Troy Grosenick, #2 : Felix Sandstrom
Lignes d’attaque personnalisées en prolongation
Ryan Suzuki, Vasily Ponomarev, Josh Melnick, Evan Polei, Riley Nash, Joel L'Esperance, Joel L'Esperance, Jasper Weatherby, Michael Vecchione, Jamieson Rees, Mason Jobst
Lignes de défense personnalisées en prolongation
Jack Ahcan, Steven Kampfer, Wyatt Newpower, Scott Morrow, Domenick Fensore


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
1Abbotsford Canucks1010000015-4000000000001010000015-400.000123008181822613723517919265033100.00%000%018232655.83%18033953.10%15025459.06%381187418198418212
2Belleville Senators1010000023-1000000000001010000023-100.000224008181823513723517919298922000%2150.00%118232655.83%18033953.10%15025459.06%381187418198418212
3Charlotte Checkers1000000123-1000000000001000000123-110.5002460081818232137235179194212023100.00%000%018232655.83%18033953.10%15025459.06%381187418198418212
4Coachella Valley Firebirds11000000615110000006150000000000021.00069150081818234137235179192251020000%000%018232655.83%18033953.10%15025459.06%381187418198418212
5Colorado Eagles1010000015-4000000000001010000015-400.00011200818182111372351791923161312000%4325.00%018232655.83%18033953.10%15025459.06%381187418198418212
6Henderson Silver Knights1010000014-31010000014-30000000000000.0001230081818224137235179193110020000%000%018232655.83%18033953.10%15025459.06%381187418198418212
7Hershey Bears2010000138-51010000026-41000000112-110.2503690081818268137235179195121239300.00%110.00%018232655.83%18033953.10%15025459.06%381187418198418212
8Iowa Wild1000010023-11000010023-10000000000010.5002350081818227137235179194119014100.00%000%018232655.83%18033953.10%15025459.06%381187418198418212
9Manitoba Moose11000000312110000003120000000000021.0003690081818212137235179191882263133.33%10100.00%018232655.83%18033953.10%15025459.06%381187418198418212
10Milwaukee Admirals1010000013-2000000000001010000013-200.0001120081818228137235179193211411200.00%20100.00%018232655.83%18033953.10%15025459.06%381187418198418212
11Providence Bruins11000000404000000000001100000040421.0004812018181823413723517919179030200.00%000%018232655.83%18033953.10%15025459.06%381187418198418212
12Rockford IceHogs22000000752220000007520000000000041.00071017008181826713723517919692511384375.00%3233.33%018232655.83%18033953.10%15025459.06%381187418198418212
13San Diego Gulls1000010023-11000010023-10000000000010.5002240081818232137235179193612216000%10100.00%018232655.83%18033953.10%15025459.06%381187418198418212
14Springfield Thunderbirds1010000023-1000000000001010000023-100.0002460081818232137235179193314020200.00%000%018232655.83%18033953.10%15025459.06%381187418198418212
15Syracuse Crunch11000000321000000000001100000032121.0003690081818223137235179193012419100.00%20100.00%018232655.83%18033953.10%15025459.06%381187418198418212
16Texas Stars10001000211000000000001000100021121.000235008181822413723517919269217000%10100.00%018232655.83%18033953.10%15025459.06%381187418198418212
17Tucson Roadrunners1000010012-11000010012-10000000000010.5001230081818224137235179193313511000%000%018232655.83%18033953.10%15025459.06%381187418198418212
18Utica Comets11000000211110000002110000000000021.000224008181822713723517919351421311100.00%110.00%018232655.83%18033953.10%15025459.06%381187418198418212
Total2077013024553-8105200300262601025010021927-8210.525457311801818182560137235179195942236638421523.81%18855.56%118232655.83%18033953.10%15025459.06%381187418198418212
_Since Last GM Reset2077013024553-8105200300262601025010021927-8210.525457311801818182560137235179195942236638421523.81%18855.56%118232655.83%18033953.10%15025459.06%381187418198418212
_Vs Conference1244013002733-6841003002219340301000514-9130.54227416800818182309137235179193571334921811436.36%12558.33%018232655.83%18033953.10%15025459.06%381187418198418212
_Vs Division432012001013-3330002009811020100015-4101.2501015250081818211613723517919115321289100.00%10100.00%018232655.83%18033953.10%15025459.06%381187418198418212

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2021W245731185605942236638401
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
207713024553
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
105203002626
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
102510021927
Derniers 10 matchs
WLOTWOTL SOWSOL
520102
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
21523.81%18855.56%1
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
13723517919818182
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
18232655.83%18033953.10%15025459.06%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
381187418198418212


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
19Iowa Wild3Chicago Wolves2LXSommaire du match
315Chicago Wolves1Colorado Eagles5LSommaire du match
537Hershey Bears6Chicago Wolves2LSommaire du match
858Chicago Wolves1Milwaukee Admirals3LSommaire du match
1073Rockford IceHogs3Chicago Wolves4WSommaire du match
1286Chicago Wolves2Springfield Thunderbirds3LSommaire du match
15107Manitoba Moose1Chicago Wolves3WSommaire du match
17121Chicago Wolves4Providence Bruins0WSommaire du match
19141Tucson Roadrunners2Chicago Wolves1LXSommaire du match
21154Chicago Wolves2Belleville Senators3LSommaire du match
24169San Diego Gulls3Chicago Wolves2LXSommaire du match
25184Chicago Wolves2Texas Stars1WXSommaire du match
28205Henderson Silver Knights4Chicago Wolves1LSommaire du match
31224Chicago Wolves2Charlotte Checkers3LXXSommaire du match
33236Utica Comets1Chicago Wolves2WSommaire du match
34251Chicago Wolves1Abbotsford Canucks5LSommaire du match
37268Coachella Valley Firebirds1Chicago Wolves6WSommaire du match
39283Chicago Wolves1Hershey Bears2LXXSommaire du match
41299Chicago Wolves3Syracuse Crunch2WSommaire du match
42308Rockford IceHogs2Chicago Wolves3WSommaire du match
45329Wilkes-Barre Scranton Penguins-Chicago Wolves-
48349Chicago Wolves-Lehigh Valley Phantoms-
50365Milwaukee Admirals-Chicago Wolves-
51376Chicago Wolves-Coachella Valley Firebirds-
53389Chicago Wolves-Iowa Wild-
55402Charlotte Checkers-Chicago Wolves-
57416Chicago Wolves-Rockford IceHogs-
59432Calgary Wranglers-Chicago Wolves-
61449Chicago Wolves-Toronto Marlies-
62462Chicago Wolves-Utica Comets-
64472Rochester Americans-Chicago Wolves-
66490Chicago Wolves-Texas Stars-
69504Toronto Marlies-Chicago Wolves-
72530Lehigh Valley Phantoms-Chicago Wolves-
74545Chicago Wolves-Hartford Wolf Pack-
76560Manitoba Moose-Chicago Wolves-
78574Chicago Wolves-Milwaukee Admirals-
80586Chicago Wolves-San Jose Barracuda-
82599Cleveland Monsters-Chicago Wolves-
84613Chicago Wolves-Bakersfield Condors-
86631Syracuse Crunch-Chicago Wolves-
87646Chicago Wolves-Laval Rocket-
90665Laval Rocket-Chicago Wolves-
93683Chicago Wolves-Henderson Silver Knights-
95694Iowa Wild-Chicago Wolves-
97708Chicago Wolves-Rochester Americans-
99720Chicago Wolves-Bridgeport Islanders-
100733Springfield Thunderbirds-Chicago Wolves-
103755Chicago Wolves-Colorado Eagles-
105765Hartford Wolf Pack-Chicago Wolves-
107784Chicago Wolves-Grand Rapids Griffins-
108796San Jose Barracuda-Chicago Wolves-
111811Chicago Wolves-Tucson Roadrunners-
113828Grand Rapids Griffins-Chicago Wolves-
115846Chicago Wolves-Cleveland Monsters-
117859Colorado Eagles-Chicago Wolves-
121888Tucson Roadrunners-Chicago Wolves-
124905Chicago Wolves-Manitoba Moose-
127924Ontario Reign-Chicago Wolves-
129939Chicago Wolves-Springfield Thunderbirds-
131949Chicago Wolves-Wilkes-Barre Scranton Penguins-
132958Hershey Bears-Chicago Wolves-
134979Chicago Wolves-Ontario Reign-
136991Bakersfield Condors-Chicago Wolves-
1391014Chicago Wolves-Providence Bruins-
1411022Providence Bruins-Chicago Wolves-
1441043Chicago Wolves-Calgary Wranglers-
1461053Texas Stars-Chicago Wolves-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1501079Belleville Senators-Chicago Wolves-
1541105Bridgeport Islanders-Chicago Wolves-
1571122Chicago Wolves-San Diego Gulls-
1611142Abbotsford Canucks-Chicago Wolves-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance15,1359,694
Assistance PCT75.68%96.94%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 2483 - 82.76% 95,063$950,630$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
632,632$ 1,843,584$ 1,843,584$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 497,640$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,471,638$ 119 14,378$ 1,710,982$




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
1Jack Drury1484576121-412017824837512.00%76290419.622341644201156552.36%10.83212
2Stefan Noesen763740771218115712428512.98%29144619.041323363110186446.60%11.06716
3Andrew Poturalski61254267212111911424510.20%26134622.0711203119000104258.72%21.00712
4Vasili Ponomarev148244367-232291952723626.63%59269618.22411151300045355.86%10.50617
5Ryan Suzuki167263662-61551561922709.63%36230813.82910191800054255.15%00.54717

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
1Eetu Makiniemi764121140.9241.9945872615220011080420.53656
2Felix Sandstrom74323190.9222.1044100615419701190130.75060
3Troy Grosenick208750.9162.4811620148569329000.70010
4Jack LaFontaine10000.9571.713500123140000
5Pyotr Kochetkov30000.9202.035900225160000

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
Saison régulière
2022763221034610196166303815130102794877381780244310279239619629849425317680262028509781722722028705198517132268437.17%2075672.95%1752135255.62%783152051.51%53397954.44%151674915447741589787
2023721831044105133160-2736817022526378-15361014022537082-127313319432736254153241438333520565781971653149911151404431.43%1283969.53%0612107756.82%659123453.40%45180556.02%130255014507491646852
20242077013024553-8105200300262601025010021927-821457311801818182560137235179195942236638421523.81%18855.56%118232655.83%18033953.10%15025459.06%381187418198418212
Total Saison régulière168575908111617374379-584283203579183191-88429270569819118831903745659395126413515152402697915361466169459315813550321238713334.37%35310370.82%21546275556.12%1622309352.44%1134203855.64%320014873413172236551851
Séries éliminatoires
202219109000004649-31055000002531-695400000211832046731191111102235451581762038584192595418611931.15%501276.00%021543349.65%23444552.58%15327156.46%387201388183373189
Total Séries éliminatoires19109000004649-31055000002531-695400000211832046731191111102235451581762038584192595418611931.15%501276.00%021543349.65%23444552.58%15327156.46%387201388183373189

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
1Stefan Noesen1991120-1211836187611.84%836719.3246101000022036.36%01.0900
2Vasili Ponomarev1941014-2192423567.14%535518.73246400000159.89%00.7900
3Jack Drury192911-2242633543.70%734918.39066200010053.29%00.6300
4Ryan Suzuki19461051216243112.90%621211.19011000000051.52%00.9400
5Phillip Di-Giuseppe196410-72431294513.33%733117.456171000013065.00%00.6000

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
1Eetu Makiniemi1910720.9182.48113801475763060100
2Felix Sandstrom10000.8575.4611001740000