Connexion

Chicago Wolves
GP: 68 | W: 32 | L: 30 | OTL: 6 | P: 70
GF: 218 | GA: 232 | PP%: 21.62% | PK%: 75.34%
DG: Francis Lachance | Morale : 99 | Moyenne d’équipe : 64
Prochains matchs #969 vs Abbotsford's Canucks
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Centre de jeu
Chicago Wolves
32-30-6, 70pts
2
FINAL
5 Calgary Wranglers
29-28-13, 71pts
Team Stats
W1SéquenceW3
15-17-3Fiche domicile17-12-7
17-13-3Fiche domicile12-16-6
5-3-2Derniers 10 matchs3-6-1
3.21Buts par match 3.20
3.41Buts contre par match 3.21
21.62%Pourcentage en avantage numérique19.25%
75.34%Pourcentage en désavantage numérique78.54%
Iowa Wild
28-34-5, 61pts
4
FINAL
5 Chicago Wolves
32-30-6, 70pts
Team Stats
SOL1SéquenceW1
17-15-1Fiche domicile15-17-3
11-19-4Fiche domicile17-13-3
2-7-1Derniers 10 matchs5-3-2
3.12Buts par match 3.21
3.42Buts contre par match 3.41
35.67%Pourcentage en avantage numérique21.62%
78.64%Pourcentage en désavantage numérique75.34%
Chicago Wolves
32-30-6, 70pts
Jour 163
Abbotsford's Canucks
42-23-4, 88pts
Statistiques d’équipe
W1SéquenceL1
15-17-3Fiche domicile25-10-1
17-13-3Fiche visiteur17-13-3
5-3-210 derniers matchs8-2-0
3.21Buts par match 3.43
3.41Buts contre par match 3.43
21.62%Pourcentage en avantage numérique14.21%
75.34%Pourcentage en désavantage numérique81.33%
Chicago Wolves
32-30-6, 70pts
Jour 165
Toronto Marlies
39-21-10, 88pts
Statistiques d’équipe
W1SéquenceOTL1
15-17-3Fiche domicile20-11-5
17-13-3Fiche visiteur19-10-5
5-3-210 derniers matchs8-0-2
3.21Buts par match 3.24
3.41Buts contre par match 3.24
21.62%Pourcentage en avantage numérique16.25%
75.34%Pourcentage en désavantage numérique81.58%
Chicago Wolves
32-30-6, 70pts
Jour 166
Bridgeport's Islanders
34-28-6, 74pts
Statistiques d’équipe
W1SéquenceW1
15-17-3Fiche domicile20-11-2
17-13-3Fiche visiteur14-17-4
5-3-210 derniers matchs6-3-1
3.21Buts par match 3.03
3.41Buts contre par match 3.03
21.62%Pourcentage en avantage numérique16.02%
75.34%Pourcentage en désavantage numérique76.92%
Meneurs d'équipe
Buts
Juraj Slafkovsky
27
Passes
Terik Parascak
44
Points
Terik Parascak
71
Plus/Moins
Reid Duke
9
Victoires
Michael Hrabal
19
Pourcentage d’arrêts
Michael Hrabal
0.922

Statistiques d’équipe
Buts pour
218
3.21 GFG
Tirs pour
2514
36.97 Avg
Pourcentage en avantage numérique
21.6%
40 GF
Début de zone offensive
39.5%
Buts contre
232
3.41 GAA
Tirs contre
2683
39.46 Avg
Pourcentage en désavantage numérique
75.3%%
18 GA
Début de la zone défensive
36.8%
Informations de l'équipe

Directeur généralFrancis Lachance
EntraîneurPaul Maurice
DivisionEastern
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité10,000
Assistance10,000
Billets de saison4,000


Informations de la formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 75
Espoirs2


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
1Juraj Slafkovsky (R)X100.008143747883707081637576727355548999690201925,000$
2Terik Parascak (R)X100.007329818573767681637774727429418299680183925,000$
3Martin Frk X100.007741768578858567526468666584735099680301750,000$
4Filip SveningssonX100.0083506587767276775167755868707046996802531,100,000$
5Nicholas HenryX100.0075387682757778725671716868626359996702511,000,000$
6Cutter Gauthier (R)XX100.007534768078727270836774707337388599660201925,000$
7Artyom ManyukanX100.006124808765757770506565606564804699650262800,000$
8Anthony SalinitriX100.006128787771677165795765626872764599630262510,000$
9Tyler SoyX100.005115888671748160865664606866714099630271510,000$
10Alex DostieX100.005216878674788161875760656358555599630271600,000$
11Christopher Lalancette X100.00418998775828358875558586367713999630301510,000$
12Reid DukeX100.005625837776737758865260626875764399620283510,000$
13Connor Carrick X100.005324908777868566566866626476903399680301750,000$
14Tristan Luneau (R)X100.006936767174727278587268676847617699660203500,000$
15Henry Thrun (R)X100.006633818777838364526353625548586399650231725,000$
16Mitchell WheatonX100.005520977883848556545453685561654099650292880,000$
17Andrew Welinski X100.0037499887585855354466068686878389964N0302800,000$
18Luke Mittelstadt (R)X100.006533757770727269507069626843525799640212500,000$
19Jakub VotjaX100.007439647168606057516464666382821799630371500,000$
20Matthew CairnsX100.006933776976687148494848715052555799620262625,000$
21Yann SauveX100.004811998781807936483537714871712299620342500,001$
Rayé
1Jean-Gabriel PageauXX100.0031199886983855786525761658683339963N0312800,000$
2Will BorgenX100.005722817975737749544641665063844999620271500,001$
MOYENNE D’ÉQUIPE100.00612683827576776363606265646267519965
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
1Frans Tuohimaa 100.008285817992717176766965787530996503311,000,000$
2Michael Hrabal (R)99.00807881858180808079777841398199620192650,000$
3Topias Leinonen (R)100.00777885857483837373726841407899610201650,000$
Rayé
MOYENNE D’ÉQUIPE99.6780808283827878767673705351639963
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice69898672949578CAN564250,000$


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
1Terik ParascakChicago Wolves (CAR)RW68274471-32608998308931848.77%44133519.646172345165000091040.23%875632121.0628000445
2Juraj SlafkovskyChicago Wolves (CAR)LW66274067-33295118682307016311.74%42130019.7161420331570000164140.74%1085027201.0338100423
3Martin Frk Chicago Wolves (CAR)RW68232851-96012288237701529.70%45121117.824711281360000151440.74%545725010.8400000421
4Tyler SoyChicago Wolves (CAR)C641825438202391176469010.23%27109117.054610161050003393253.59%7113819000.7900000014
5Filip SveningssonChicago Wolves (CAR)LW50212142-1112010861230811389.13%3384716.9634719630000213036.59%415525000.9912000233
6Cutter GauthierChicago Wolves (CAR)C/LW53132538-261606472109267711.93%37105119.835111625128000031149.01%12632526000.7225000023
7Nicholas HenryChicago Wolves (CAR)RW59162036-41209678209621447.66%36102517.38000010000332240.91%2863622000.7012000213
8Artyom ManyukanChicago Wolves (CAR)RW68141630-1604452176601097.95%2085312.55000000001133041.18%515314000.7000000102
9Christopher Lalancette Chicago Wolves (CAR)C68131427-200205613141859.92%37107215.773141278000062055.58%4842114000.5000000123
10Tristan LuneauChicago Wolves (CAR)D6422426-25100726610140331.98%82131120.490441617300004010%02844000.4000000000
11Anthony SalinitriChicago Wolves (CAR)C6891423-1580598110422648.65%3391013.39000000000142048.62%5451522000.5100000010
12Alex DostieChicago Wolves (CAR)C6881119-420314410925687.34%286219.14000070000191056.87%313169000.6100000002
13Mitchell WheatonChicago Wolves (CAR)D5431619-70019623420238.82%4897218.00213387000015000%0833000.3900000020
14Reid DukeChicago Wolves (CAR)C6561016920295657122810.53%1770410.832354610001221054.95%4551017000.4500000000
15Henry ThrunChicago Wolves (CAR)D6711314-24042434722242.13%59104915.66000037000143000%01039000.2700000010
16Connor Carrick Chicago Wolves (CAR)D6301414-244035707932370%83121419.28022679000022000%02732000.2311000000
17Luke MittelstadtChicago Wolves (CAR)D49591446057507128227.04%5487217.804041613500006100%01230000.3213000001
18Jakub VotjaChicago Wolves (CAR)D683912-1212083454914176.12%53101014.86101464000014100%0832000.2400000000
19Will BorgenChicago Wolves (CAR)D62066-102092213780%395088.20000010000029000%0011000.2400000000
20Yann SauveChicago Wolves (CAR)D68145-42063421584.76%255828.5700000000045000%0323000.1700000010
21Jean-Gabriel PageauChicago Wolves (CAR)C/RW142131001129132022.22%216711.93000010000160050.41%12143000.3600000000
22Matthew CairnsChicago Wolves (CAR)D68000-220283310980%376209.13000011000048000%021700000000000
23Andrew Welinski Chicago Wolves (CAR)D6000000054120%410116.9400001000003000%01500000000000
Statistiques d’équipe totales ou en moyenne1348212364576-201143511551287251479915048.43%8852043615.16407011022715150006466261150.39%4519535521330.561129100182230
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Michael HrabalChicago Wolves (CAR)36191330.9223.072134201091394682210.739233526562
2Frans Tuohimaa Chicago Wolves (CAR)1871010.9063.8310506067709387411.00071816201
3Topias LeinonenChicago Wolves (CAR)166720.9103.32940205257828710001526310
Statistiques d’équipe totales ou en moyenne70323060.9153.32412410022826811356723068681073


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Alex DostieChicago Wolves (CAR)C271987-10-09No187 Lbs6 ft1NoNoN/ANoNo1Pro & Farm600,000$91,099$0$0$No------------------
Andrew Welinski Chicago Wolves (CAR)D301985-04-27No201 Lbs6 ft0YesNoFree AgentNoNo22025-01-13Pro & Farm800,000$121,466$0$0$No800,000$--------Yes--------
Anthony SalinitriChicago Wolves (CAR)C261988-08-31No186 Lbs5 ft11NoNoFree AgentNoNo22024-09-02Pro & Farm510,000$77,435$0$0$No510,000$--------No--------
Artyom ManyukanChicago Wolves (CAR)RW261988-09-04No159 Lbs5 ft7NoNoFree AgentNoNo22024-09-02Pro & Farm800,000$121,466$0$0$No800,000$--------No--------
Christopher Lalancette Chicago Wolves (CAR)C301984-10-14No197 Lbs6 ft1NoNoN/ANoNo1Pro & Farm510,000$77,435$0$0$No------------------
Connor Carrick Chicago Wolves (CAR)D301984-10-14No206 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$113,874$0$0$No------------------
Cutter GauthierChicago Wolves (CAR)C/LW201994-09-01Yes206 Lbs6 ft4NoNoN/ANoNo1Pro & Farm925,000$140,445$0$0$No------------------
Filip SveningssonChicago Wolves (CAR)LW251989-09-07No196 Lbs6 ft3NoNoFree AgentNoNo32024-09-02Pro & Farm1,100,000$167,016$0$0$No1,100,000$1,100,000$-------NoNo-------
Frans Tuohimaa Chicago Wolves (CAR)G331981-10-14No190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,000,000$151,832$0$0$No------------------
Henry ThrunChicago Wolves (CAR)D231991-08-31Yes207 Lbs6 ft3NoNoN/ANoNo1Pro & Farm725,000$110,079$0$0$No------------------
Jakub VotjaChicago Wolves (CAR)D371977-08-31No183 Lbs6 ft0NoNoN/ANoNo1Pro & Farm500,000$75,916$0$0$No------------------
Jean-Gabriel PageauChicago Wolves (CAR)C/RW311983-11-11No183 Lbs5 ft9YesNoFree AgentNoNo22025-01-13Pro & Farm800,000$121,466$0$0$No800,000$--------Yes--------
Juraj SlafkovskyChicago Wolves (CAR)LW201994-09-01Yes235 Lbs6 ft5NoNoN/ANoNo1Pro & Farm925,000$140,445$0$0$No------------------
Luke MittelstadtChicago Wolves (CAR)D211993-09-09Yes175 Lbs6 ft1NoNoN/ANoNo2Pro & Farm500,000$75,916$0$0$No500,000$--------No--------
Martin Frk Chicago Wolves (CAR)RW301984-10-14No219 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$113,874$0$0$No------------------
Matthew CairnsChicago Wolves (CAR)D261988-08-31No210 Lbs6 ft2NoNoN/ANoNo2Pro & Farm625,000$94,895$0$0$No625,000$--------No--------
Michael HrabalChicago Wolves (CAR)G191995-09-09Yes220 Lbs6 ft9NoNoN/ANoNo2Pro & Farm650,000$98,691$0$0$No650,000$--------No--------
Mitchell WheatonChicago Wolves (CAR)D291985-10-05No237 Lbs6 ft5NoNoN/ANoNo2Pro & Farm880,000$133,613$0$0$No880,000$--------No--------
Nicholas HenryChicago Wolves (CAR)RW251989-10-04No205 Lbs5 ft11NoNoTrade2024-01-05NoNo1Pro & Farm1,000,000$151,832$0$0$No------------------
Reid DukeChicago Wolves (CAR)C281986-09-07No205 Lbs6 ft0NoNoFree AgentNoNo32024-09-02Pro & Farm510,000$77,435$0$0$No510,000$510,000$-------NoNo-------
Terik ParascakChicago Wolves (CAR)RW181996-09-03Yes179 Lbs5 ft11NoNoProspectNoNo32024-09-02Pro & Farm925,000$140,445$0$0$No925,000$925,000$-------NoNo-------
Topias LeinonenChicago Wolves (CAR)G201994-09-01Yes238 Lbs6 ft7NoNoN/ANoNo1Pro & Farm650,000$98,691$0$0$No------------------
Tristan LuneauChicago Wolves (CAR)D201994-09-03Yes192 Lbs6 ft2NoNoProspectNoNo32024-09-02Pro & Farm500,000$75,916$0$0$No500,000$500,000$-------NoNo-------
Tyler SoyChicago Wolves (CAR)C271987-10-09No186 Lbs6 ft0NoNoN/ANoNo1Pro & Farm510,000$77,435$0$0$No------------------
Will BorgenChicago Wolves (CAR)D271987-09-04No202 Lbs6 ft2NoNoN/ANoNo1Pro & Farm500,001$75,916$0$0$No------------------
Yann SauveChicago Wolves (CAR)D341980-08-06No229 Lbs6 ft2NoNoN/ANoNo2Pro & Farm500,001$75,916$0$0$No500,001$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2626.23201 Lbs6 ft21.65709,423$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juraj SlafkovskyCutter GauthierTerik Parascak31014
2Filip SveningssonAnthony SalinitriMartin Frk 28023
3Tyler SoyReid DukeNicholas Henry22023
4Alex DostieChristopher Lalancette Artyom Manyukan19032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor Carrick Tristan Luneau33023
2Mitchell WheatonLuke Mittelstadt27023
3Andrew Welinski Henry Thrun26032
4Matthew CairnsJakub Votja14032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juraj SlafkovskyCutter GauthierTerik Parascak53005
2Filip SveningssonTyler SoyMartin Frk 47014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tristan LuneauLuke Mittelstadt53014
2Mitchell WheatonConnor Carrick 47014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Reid DukeNicholas Henry55131
2Alex DostieMartin Frk 45131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew CairnsYann Sauve55140
2Henry ThrunAndrew Welinski 45140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Dostie55140Matthew CairnsYann Sauve54140
2Christopher Lalancette 45140Andrew Welinski Jakub Votja46140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cutter GauthierJuraj Slafkovsky55023
2Tyler SoyTerik Parascak45023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mitchell WheatonTristan Luneau55023
2Henry ThrunAndrew Welinski 45032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juraj SlafkovskyCutter GauthierTerik ParascakTristan LuneauConnor Carrick
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juraj SlafkovskyCutter GauthierTerik ParascakTristan LuneauConnor Carrick
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Terik Parascak, Juraj Slafkovsky, Artyom ManyukanTyler Soy, Alex DostieMartin Frk
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mitchell Wheaton, Luke Mittelstadt, Matthew CairnsJakub VotjaHenry Thrun, Tristan Luneau
Tirs de pénalité
Terik Parascak, Juraj Slafkovsky, Cutter Gauthier, Filip Sveningsson, Connor Carrick
Gardien
#1 : Michael Hrabal, #2 : Frans Tuohimaa , #3 : Topias Leinonen
Lignes d’attaque personnalisées en prolongation
Martin Frk , Cutter Gauthier, Anthony Salinitri, Terik Parascak, Artyom Manyukan, Reid Duke, Reid Duke, Filip Sveningsson, Nicholas Henry, Christopher Lalancette , Alex Dostie
Lignes de défense personnalisées en prolongation
Connor Carrick , Mitchell Wheaton, Henry Thrun, Tristan Luneau, Filip Sveningsson


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's Canucks2020000039-61010000014-31010000025-300.0003690062737315888468487836681200357228.57%000%0902176751.05%830164450.49%545106251.32%142981314566041246636
2Bakersfield Condors30300000813-520200000610-41010000023-100.000814220062737315101846848783661123014537228.57%6183.33%0902176751.05%830164450.49%545106251.32%142981314566041246636
3Belleville Senators2010100047-31010000026-41000100021120.5004590062737315638468487836680272386116.67%110.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
4Bridgeport's Islanders2110000045-11010000024-21100000021120.5004590062737315698468487836682268337114.29%4175.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
5Calgary Wranglers32100000981110000003122110000067-140.66791524006273731512384684878366107328575120.00%40100.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
6Charlotte Checkers30300000510-52020000037-41010000023-100.000581300627373159584684878366126440519222.22%000%0902176751.05%830164450.49%545106251.32%142981314566041246636
7Colorado Eagles22000000624110000003121100000031241.0006915006273731568846848783668916637100.00%30100.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
8Grand Rapids Griffins30200100510-51010000013-22010010047-310.1675914006273731594846848783661153810471000.00%5260.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
9Hartford Wolfpack220000001596110000007341100000086241.0001527420062737315818468487836677447375240.00%10100.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
10Henderson Silver Knights211000008801010000035-21100000053220.500812201062737315768468487836672336446233.33%3166.67%0902176751.05%830164450.49%545106251.32%142981314566041246636
11Hershey Bears31000020853110000002112000002064261.00081018006273731510984684878366893025410110.00%10100.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
12Iowa Wild311000101312120100010911-21100000041340.667132336006273731510284684878366962525514535.71%10100.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
13Laval Rocket320010001248110000004132100100083561.000121931006273731510184684878366136496414125.00%30100.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
14Lehigh Valley Phantoms30001020151232000101010821000001054161.000152641006273731512484684878366126458519444.44%4250.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
15Manitoba Moose20200000310-71010000014-31010000026-400.00035800627373158184684878366872710256116.67%5260.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
16Ontario Reign321000001367110000004132110000095440.667132033006273731511784684878366123436437114.29%30100.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
17Providence Bruins2020000029-71010000014-31010000015-400.0002460062737315608468487836680226325120.00%30100.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
18Rochester Americans21000001880110000005411000000134-130.750814220062737315928468487836690328308337.50%4175.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
19Rockford IceHogs2020000025-31010000012-11010000013-200.000235006273731567846848783667614229900.00%10100.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
20San Diego Gulls 31100001161602100000111921010000057-230.500162743106273731511784684878366134392639444.44%10100.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
21San Jose Barracuda320010001165210010007341100000043161.000111930006273731512084684878366114416538225.00%3166.67%0902176751.05%830164450.49%545106251.32%142981314566041246636
22Springfield Thunderbirds2110000058-31010000027-51100000031220.50051015006273731572846848783665021433500.00%220.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
23Syracuse Crunch30100110913-41010000015-42000011088030.50091423006273731510484684878366115516535120.00%3233.33%0902176751.05%830164450.49%545106251.32%142981314566041246636
24Texas Stars2020000059-41010000034-11010000025-300.00059140062737315658468487836693314393266.67%2150.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
25Toronto Marlies2010010036-31000010023-11010000013-210.250358006273731577846848783668530432300.00%20100.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
26Utica Comets3110010012120210001008621010000046-230.500122032006273731512484684878366129388437114.29%4175.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
27Wilkes-Barre/Scranton Penguins32100000141042110000010821100000042240.667142640006273731512484684878366119378471000.00%40100.00%0902176751.05%830164450.49%545106251.32%142981314566041246636
Total68223004462218232-1435111702221112125-1333111302241106107-1700.5152183645822062737315251484684878366268388515311551854021.62%731875.34%0902176751.05%830164450.49%545106251.32%142981314566041246636
_Since Last GM Reset68223004462218232-1435111702221112125-1333111302241106107-1700.5152183645822062737315251484684878366268388515311551854021.62%731875.34%0902176751.05%830164450.49%545106251.32%142981314566041246636
_Vs Conference68223004462218232-1435111702221112125-1333111302241106107-1700.5152183645822062737315251484684878366268388515311551854021.62%731875.34%0902176751.05%830164450.49%545106251.32%142981314566041246636
_Vs Division3681203351116120-41857012105863-518350214158571360.5001161923080062737315131784684878366144951383589981818.37%391074.36%0902176751.05%830164450.49%545106251.32%142981314566041246636

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6870W121836458225142683885153115520
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6822304462218232
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3511172221112125
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3311132241106107
Derniers 10 matchs
WLOTWOTL SOWSOL
530101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1854021.62%731875.34%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
8468487836662737315
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
902176751.05%830164450.49%545106251.32%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
142981314566041246636


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
114Providence Bruins4Chicago Wolves1BLSommaire du match
424Henderson Silver Knights5Chicago Wolves3BLSommaire du match
640Chicago Wolves2Charlotte Checkers3ALSommaire du match
853Bakersfield Condors6Chicago Wolves3BLSommaire du match
1063Chicago Wolves4Wilkes-Barre/Scranton Penguins2AWSommaire du match
1277Chicago Wolves4Calgary Wranglers2AWSommaire du match
1490Chicago Wolves2Syracuse Crunch3ALXSommaire du match
17103Chicago Wolves2Bridgeport's Islanders1AWSommaire du match
20122Chicago Wolves2Texas Stars5ALSommaire du match
22132Grand Rapids Griffins3Chicago Wolves1BLSommaire du match
25147Chicago Wolves2Ontario Reign4ALSommaire du match
26155Chicago Wolves3Colorado Eagles1AWSommaire du match
30181Chicago Wolves3Springfield Thunderbirds1AWSommaire du match
33195Toronto Marlies3Chicago Wolves2BLXSommaire du match
34203Chicago Wolves8Hartford Wolfpack6AWSommaire du match
36216Chicago Wolves2Abbotsford's Canucks5ALSommaire du match
38226Iowa Wild7Chicago Wolves4BLSommaire du match
41242Syracuse Crunch5Chicago Wolves1BLSommaire du match
43253Belleville Senators6Chicago Wolves2BLSommaire du match
45268Chicago Wolves5Lehigh Valley Phantoms4AWXXSommaire du match
47281Laval Rocket1Chicago Wolves4BWSommaire du match
51305Springfield Thunderbirds7Chicago Wolves2BLSommaire du match
53314Chicago Wolves1Rockford IceHogs3ALSommaire du match
56330Utica Comets4Chicago Wolves3BLXSommaire du match
58341Chicago Wolves4San Jose Barracuda3AWSommaire du match
60354Ontario Reign1Chicago Wolves4BWSommaire du match
63371San Diego Gulls 3Chicago Wolves6BWSommaire du match
65384Hershey Bears1Chicago Wolves2BWSommaire du match
68399Chicago Wolves5Henderson Silver Knights3AWSommaire du match
70409Chicago Wolves4Iowa Wild1AWSommaire du match
71416Chicago Wolves4Utica Comets6ALSommaire du match
75439Bridgeport's Islanders4Chicago Wolves2BLSommaire du match
77451Calgary Wranglers1Chicago Wolves3BWSommaire du match
79464Chicago Wolves2Hershey Bears1AWXXSommaire du match
80472Chicago Wolves3Rochester Americans4ALXXSommaire du match
84495Colorado Eagles1Chicago Wolves3BWSommaire du match
86506Texas Stars4Chicago Wolves3BLSommaire du match
88517San Jose Barracuda2Chicago Wolves3BWXSommaire du match
91533Charlotte Checkers3Chicago Wolves1BLSommaire du match
93547Chicago Wolves2Belleville Senators1AWXSommaire du match
95558Hartford Wolfpack3Chicago Wolves7BWSommaire du match
97567Chicago Wolves6Laval Rocket2AWSommaire du match
99581Chicago Wolves2Grand Rapids Griffins4ALSommaire du match
102596Chicago Wolves1Providence Bruins5ALSommaire du match
104606Chicago Wolves2Bakersfield Condors3ALSommaire du match
107627Abbotsford's Canucks4Chicago Wolves1BLSommaire du match
109638Lehigh Valley Phantoms3Chicago Wolves4BWXSommaire du match
110647Chicago Wolves2Manitoba Moose6ALSommaire du match
112656Chicago Wolves5San Diego Gulls 7ALSommaire du match
115674Rockford IceHogs2Chicago Wolves1BLSommaire du match
117685Wilkes-Barre/Scranton Penguins6Chicago Wolves4BLSommaire du match
120703Rochester Americans4Chicago Wolves5BWSommaire du match
123720Chicago Wolves1Toronto Marlies3ALSommaire du match
127738Manitoba Moose4Chicago Wolves1BLSommaire du match
131759San Jose Barracuda1Chicago Wolves4BWSommaire du match
132770Lehigh Valley Phantoms5Chicago Wolves6BWXXSommaire du match
135788Wilkes-Barre/Scranton Penguins2Chicago Wolves6BWSommaire du match
138809Chicago Wolves6Syracuse Crunch5AWXXSommaire du match
141827Chicago Wolves2Grand Rapids Griffins3ALXSommaire du match
144842Chicago Wolves7Ontario Reign1AWSommaire du match
147862Chicago Wolves2Laval Rocket1AWXSommaire du match
149877Charlotte Checkers4Chicago Wolves2BLSommaire du match
150882Chicago Wolves4Hershey Bears3AWXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153896Utica Comets2Chicago Wolves5BWSommaire du match
154908San Diego Gulls 6Chicago Wolves5BLXXSommaire du match
157930Bakersfield Condors4Chicago Wolves3BLSommaire du match
159941Chicago Wolves2Calgary Wranglers5ALSommaire du match
161952Iowa Wild4Chicago Wolves5BWXXSommaire du match
163969Chicago Wolves-Abbotsford's Canucks-
165977Chicago Wolves-Toronto Marlies-
166985Chicago Wolves-Bridgeport's Islanders-
168998Chicago Wolves-Springfield Thunderbirds-
1711017Rochester Americans-Chicago Wolves-
1731032Rockford IceHogs-Chicago Wolves-
1751045Chicago Wolves-Henderson Silver Knights-
1761048Colorado Eagles-Chicago Wolves-
1781066Chicago Wolves-Hartford Wolfpack-
1811087Providence Bruins-Chicago Wolves-
1841103Chicago Wolves-Texas Stars-
1861114Belleville Senators-Chicago Wolves-
1881128Chicago Wolves-Manitoba Moose-
1901135Laval Rocket-Chicago Wolves-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité50005000
Prix des billets3515
Assistance175,000175,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 10000 - 100.00% 372,500$13,037,500$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,055,244$ 3,689,000$ 3,689,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,843,191$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,235,000$ 29 20,623$ 598,067$




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