Connexion

Chicago Wolves
GP: 41 | W: 20 | L: 17 | OTL: 4 | P: 44
GF: 124 | GA: 133 | PP%: 25.74% | PK%: 73.81%
DG: Francis Lachance | Morale : 99 | Moyenne d’équipe : 65
Prochains matchs #567 vs Laval Rocket
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Centre de jeu
Chicago Wolves
20-17-4, 44pts
2
FINAL
1 Belleville Senators
22-17-2, 46pts
Team Stats
W2SéquenceOTL1
8-11-2Fiche domicile11-9-2
12-6-2Fiche domicile11-8-0
6-3-1Derniers 10 matchs4-4-2
3.02Buts par match 2.71
3.24Buts contre par match 2.88
25.74%Pourcentage en avantage numérique17.12%
73.81%Pourcentage en désavantage numérique83.96%
Hartford Wolfpack
21-17-4, 46pts
3
FINAL
7 Chicago Wolves
20-17-4, 44pts
Team Stats
L1SéquenceW2
10-8-3Fiche domicile8-11-2
11-9-1Fiche domicile12-6-2
5-2-3Derniers 10 matchs6-3-1
3.48Buts par match 3.02
3.26Buts contre par match 3.24
17.89%Pourcentage en avantage numérique25.74%
71.77%Pourcentage en désavantage numérique73.81%
Chicago Wolves
20-17-4, 44pts
Jour 97
Laval Rocket
21-14-5, 47pts
Statistiques d’équipe
W2SéquenceW3
8-11-2Fiche domicile8-7-3
12-6-2Fiche visiteur13-7-2
6-3-110 derniers matchs7-3-0
3.02Buts par match 3.40
3.24Buts contre par match 3.40
25.74%Pourcentage en avantage numérique23.36%
73.81%Pourcentage en désavantage numérique74.53%
Chicago Wolves
20-17-4, 44pts
Jour 99
Grand Rapids Griffins
19-18-3, 41pts
Statistiques d’équipe
W2SéquenceL3
8-11-2Fiche domicile8-9-2
12-6-2Fiche visiteur11-9-1
6-3-110 derniers matchs3-6-1
3.02Buts par match 2.93
3.24Buts contre par match 2.93
25.74%Pourcentage en avantage numérique26.23%
73.81%Pourcentage en désavantage numérique75.61%
Chicago Wolves
20-17-4, 44pts
Jour 102
Providence Bruins
22-13-3, 47pts
Statistiques d’équipe
W2SéquenceW2
8-11-2Fiche domicile10-7-1
12-6-2Fiche visiteur12-6-2
6-3-110 derniers matchs3-5-2
3.02Buts par match 3.24
3.24Buts contre par match 3.24
25.74%Pourcentage en avantage numérique21.35%
73.81%Pourcentage en désavantage numérique82.76%
Meneurs d'équipe
Buts
Terik Parascak
18
Passes
Terik Parascak
28
Points
Terik Parascak
46
Plus/Moins
Luke Mittelstadt
6
Victoires
Michael Hrabal
8
Pourcentage d’arrêts
Michael Hrabal
0.929

Statistiques d’équipe
Buts pour
124
3.02 GFG
Tirs pour
1417
34.56 Avg
Pourcentage en avantage numérique
25.7%
26 GF
Début de zone offensive
38.4%
Buts contre
133
3.24 GAA
Tirs contre
1576
38.44 Avg
Pourcentage en désavantage numérique
73.8%%
11 GA
Début de la zone défensive
37.6%
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 Pro24
Équipe Mineure21
Limite contact 45 / 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)X98.008143747883707081637576727355548999690201925,000$
2Terik Parascak (R)X100.007329818573767681637774727429418299680183925,000$
3Martin Frk X100.007741768578858567526468666584735099680301750,000$
4Filip SveningssonX100.0083506587767276775167755868707046996802531,100,000$
5Nicholas HenryX100.0075387682757778725671716868626359996702511,000,000$
6Cutter Gauthier (R)XX98.007534768078727270836774707337388599660201925,000$
7Artyom ManyukanX100.006124808765757770506565606564804699650262800,000$
8Anthony SalinitriX100.006128787771677165795765626872764599630262510,000$
9Tyler SoyX100.005115888671748160865664606866714099630271510,000$
10Alex DostieX100.005216878674788161875760656358555599630271600,000$
11Christopher Lalancette X100.00418998775828358875558586367713999630301510,000$
12Connor Carrick X100.005324908777868566566866626476903399680301750,000$
13Tristan Luneau (R)X100.006936767174727278587268676847617699660203500,000$
14Henry Thrun (R)X100.006633818777838364526353625548586399650231725,000$
15Luke Mittelstadt (R)X100.006533757770727269507069626843525799640212500,000$
16Jakub VotjaX100.007439647168606057516464666382821799630371500,000$
17Matthew CairnsX100.006933776976687148494848715052555799620262625,000$
18Yann SauveX100.004811998781807936483537714871712299620342500,001$
19Will BorgenX100.005722817975737749544641665063844999620271500,001$
Rayé
1Reid DukeX92.125625837776737758865260626875764399620283510,000$
2Mitchell WheatonX95.975520977883848556545453685561654099650292880,000$
MOYENNE D’ÉQUIPE99.19642981817575776463616265646166529965
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Michael Hrabal (R)100.00807881858180808079777841398199620192650,000$
2Topias Leinonen (R)100.00777885857483837373726841407899610201650,000$
Rayé
1Frans Tuohimaa 95.008285817992717176766965787530996503311,000,000$
MOYENNE D’ÉQUIPE98.3380808283827878767673705351639963
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)RW41182846-184048671745110710.34%2679919.49413172988000081033.33%483013121.1503000234
2Juraj SlafkovskyChicago Wolves (CAR)LW41152742-1915577461344110111.19%3281219.824121621870000152145.83%482917201.0313100321
3Tyler SoyChicago Wolves (CAR)C411121321201869106295310.38%2276318.632469510002383153.26%6442115000.8400000012
4Martin Frk Chicago Wolves (CAR)RW41121527120834114636898.22%2872317.651451771000000244.00%253210010.7500000210
5Christopher Lalancette Chicago Wolves (CAR)C41121123-300173994295612.77%2877718.973141269000052056.07%4121611000.5900000123
6Nicholas HenryChicago Wolves (CAR)RW41111021-460746214050867.86%2573818.00000000000211145.20%1772813000.5712000212
7Cutter GauthierChicago Wolves (CAR)C/LW2671320-12100363653163613.21%1152020.014591352000021147.37%5511414000.7712000013
8Tristan LuneauChicago Wolves (CAR)D3721416-226038405117183.92%3875120.3104488700004010%01925000.4300000000
9Artyom ManyukanChicago Wolves (CAR)RW417916-120203310237636.86%1153413.03000000001131043.75%32289000.6000000101
10Filip SveningssonChicago Wolves (CAR)LW236612-46040349033676.67%1238216.62000000000132050.00%181512000.6300000012
11Anthony SalinitriChicago Wolves (CAR)C414711-116041406314406.35%1954413.2700000000091044.95%1981214000.4000000010
12Alex DostieChicago Wolves (CAR)C414610-72014255111327.84%173438.3900003000041056.44%30374000.5800000001
13Henry ThrunChicago Wolves (CAR)D4009912029282714140%4165516.40000036000125000%0828000.2700000000
14Mitchell WheatonChicago Wolves (CAR)D2936940016421391623.08%2552218.02213236000015000%0427000.3400000010
15Reid DukeChicago Wolves (CAR)C4144842018263561011.43%103959.64235456000011054.12%170814000.4000000000
16Connor Carrick Chicago Wolves (CAR)D41077-234023484816260%5777819.00011430000022000%01323000.1800000000
17Luke MittelstadtChicago Wolves (CAR)D273476403538341298.82%3649818.4630386500005100%0817000.2812000001
18Will BorgenChicago Wolves (CAR)D41066-6207187680%293829.3200006000013000%0011000.3100000000
19Jakub VotjaChicago Wolves (CAR)D41235-4605029359135.71%3764115.65101453000014100%0219000.1600000000
20Yann SauveChicago Wolves (CAR)D41134-42022392311.11%123618.8200000000016000%0313000.2200000010
21Matthew CairnsChicago Wolves (CAR)D41000-22011185340%193749.1400005000019000%011300000000000
Statistiques d’équipe totales ou en moyenne797122209331-12385569780214174418518.61%5351230215.44264874131802000427018750.99%2626298322330.54412100111520
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)168520.9292.709120041578280010.77891525331
2Frans Tuohimaa Chicago Wolves (CAR)126600.9083.766872043469255201.0002121200
3Topias LeinonenChicago Wolves (CAR)156620.9113.21880204752825910001415310
Statistiques d’équipe totales ou en moyenne43201740.9173.17248040131157579431114141841


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$298,429$0$0$No------------------
Anthony SalinitriChicago Wolves (CAR)C261988-08-31No186 Lbs5 ft11NoNoFree AgentNoNo22024-09-02Pro & Farm510,000$253,665$0$0$No510,000$--------No--------
Artyom ManyukanChicago Wolves (CAR)RW261988-09-04No159 Lbs5 ft7NoNoFree AgentNoNo22024-09-02Pro & Farm800,000$397,906$0$0$No800,000$--------No--------
Christopher Lalancette Chicago Wolves (CAR)C301984-10-14No197 Lbs6 ft1NoNoN/ANoNo1Pro & Farm510,000$253,665$0$0$No------------------
Connor Carrick Chicago Wolves (CAR)D301984-10-14No206 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$373,037$0$0$No------------------
Cutter GauthierChicago Wolves (CAR)C/LW201994-09-01Yes206 Lbs6 ft4NoNoN/ANoNo1Pro & Farm925,000$460,079$0$0$No------------------
Filip SveningssonChicago Wolves (CAR)LW251989-09-07No196 Lbs6 ft3NoNoFree AgentNoNo32024-09-02Pro & Farm1,100,000$547,120$0$0$No1,100,000$1,100,000$-------NoNo-------
Frans Tuohimaa (sur la masse salariale)Chicago Wolves (CAR)G331981-10-14No190 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,000,000$497,382$0$0$No------------------
Henry ThrunChicago Wolves (CAR)D231991-08-31Yes207 Lbs6 ft3NoNoN/ANoNo1Pro & Farm725,000$360,602$0$0$No------------------
Jakub VotjaChicago Wolves (CAR)D371977-08-31No35 Lbs1 ft7NoNoN/ANoNo1Pro & Farm500,000$248,691$0$0$No------------------
Juraj SlafkovskyChicago Wolves (CAR)LW201994-09-01Yes235 Lbs6 ft5NoNoN/ANoNo1Pro & Farm925,000$460,079$0$0$No------------------
Luke MittelstadtChicago Wolves (CAR)D211993-09-09Yes175 Lbs6 ft1NoNoN/ANoNo2Pro & Farm500,000$248,691$0$0$No500,000$--------No--------
Martin Frk Chicago Wolves (CAR)RW301984-10-14No219 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$373,037$0$0$No------------------
Matthew CairnsChicago Wolves (CAR)D261988-08-31No210 Lbs6 ft2NoNoN/ANoNo2Pro & Farm625,000$310,864$0$0$No625,000$--------No--------
Michael HrabalChicago Wolves (CAR)G191995-09-09Yes220 Lbs6 ft9NoNoN/ANoNo2Pro & Farm650,000$323,298$0$0$No650,000$--------No--------
Mitchell WheatonChicago Wolves (CAR)D291985-10-05No237 Lbs6 ft5NoNoN/ANoNo2Pro & Farm880,000$437,696$0$0$No880,000$--------No--------
Nicholas HenryChicago Wolves (CAR)RW251989-10-04No205 Lbs5 ft11NoNoTrade2024-01-05NoNo1Pro & Farm1,000,000$497,382$0$0$No------------------
Reid Duke (sur la masse salariale)Chicago Wolves (CAR)C281986-09-07No205 Lbs6 ft0NoNoFree AgentNoNo32024-09-02Pro & Farm510,000$253,665$0$0$Yes510,000$510,000$-------NoNo-------
Terik ParascakChicago Wolves (CAR)RW181996-09-03Yes179 Lbs5 ft11NoNoProspectNoNo32024-09-02Pro & Farm925,000$460,079$0$0$No925,000$925,000$-------NoNo-------
Topias LeinonenChicago Wolves (CAR)G201994-09-01Yes238 Lbs6 ft7NoNoN/ANoNo1Pro & Farm650,000$323,298$0$0$No------------------
Tristan LuneauChicago Wolves (CAR)D201994-09-03Yes192 Lbs6 ft2NoNoProspectNoNo32024-09-02Pro & Farm500,000$248,691$0$0$No500,000$500,000$-------NoNo-------
Tyler SoyChicago Wolves (CAR)C271987-10-09No186 Lbs6 ft0NoNoN/ANoNo1Pro & Farm510,000$253,665$0$0$No------------------
Will BorgenChicago Wolves (CAR)D271987-09-04No202 Lbs6 ft2NoNoN/ANoNo1Pro & Farm500,001$248,692$0$0$No------------------
Yann SauveChicago Wolves (CAR)D341980-08-06No229 Lbs6 ft2NoNoN/ANoNo2Pro & Farm500,001$248,692$0$0$No500,001$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.88196 Lbs6 ft01.63701,875$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juraj SlafkovskyCutter GauthierTerik Parascak31014
2Filip SveningssonTyler SoyMartin Frk 28023
3Nicholas HenryAnthony SalinitriArtyom Manyukan22023
4Christopher Lalancette Tyler SoyNicholas Henry19032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor Carrick Tristan Luneau33122
2Luke MittelstadtHenry Thrun27122
3Will BorgenJakub Votja26122
4Matthew CairnsYann Sauve14122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juraj SlafkovskyCutter GauthierTerik Parascak53005
2Filip SveningssonChristopher Lalancette Martin Frk 47014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tristan LuneauLuke Mittelstadt53014
2Connor Carrick Jakub Votja47113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyler SoyJuraj Slafkovsky55131
2Christopher Lalancette Terik Parascak45131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew CairnsYann Sauve55140
2Matthew CairnsWill Borgen45140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyler Soy55140Matthew CairnsYann Sauve54140
2Anthony Salinitri45140Will BorgenJakub Votja46140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cutter GauthierJuraj Slafkovsky55113
2Christopher Lalancette Terik Parascak45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor Carrick Tristan Luneau55122
2Henry ThrunLuke Mittelstadt45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juraj SlafkovskyCutter GauthierTerik ParascakTristan LuneauLuke Mittelstadt
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juraj SlafkovskyCutter GauthierTerik ParascakTristan LuneauLuke Mittelstadt
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Soy, Juraj Slafkovsky, Artyom ManyukanTyler Soy, Alex DostieTyler Soy
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor Carrick , Will Borgen, Matthew CairnsWill BorgenLuke Mittelstadt, Tristan Luneau
Tirs de pénalité
Terik Parascak, Juraj Slafkovsky, Cutter Gauthier, Luke Mittelstadt, Nicholas Henry
Gardien
#1 : Michael Hrabal, #2 : Topias Leinonen
Lignes d’attaque personnalisées en prolongation
Juraj Slafkovsky, Cutter Gauthier, Anthony Salinitri, Terik Parascak, Tyler Soy, Nicholas Henry, Nicholas Henry, Filip Sveningsson, Martin Frk , Christopher Lalancette , Alex Dostie
Lignes de défense personnalisées en prolongation
Luke Mittelstadt, Connor Carrick , 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 Canucks1010000025-3000000000001010000025-300.000246003639456404784714503039120193266.67%000%053199953.15%48497849.49%32462651.76%838465878369766389
2Bakersfield Condors1010000036-31010000036-30000000000000.000369003639456374784714503043114172150.00%2150.00%053199953.15%48497849.49%32462651.76%838465878369766389
3Belleville Senators2010100047-31010000026-41000100021120.500459003639456634784714503080272386116.67%110.00%053199953.15%48497849.49%32462651.76%838465878369766389
4Bridgeport's Islanders2110000045-11010000024-21100000021120.500459003639456694784714503082268337114.29%4175.00%053199953.15%48497849.49%32462651.76%838465878369766389
5Calgary Wranglers22000000734110000003121100000042241.00071118003639456794784714503076206323133.33%30100.00%053199953.15%48497849.49%32462651.76%838465878369766389
6Charlotte Checkers2020000036-31010000013-21010000023-100.000369003639456614784714503079320376116.67%000%053199953.15%48497849.49%32462651.76%838465878369766389
7Colorado Eagles22000000624110000003121100000031241.000691500363945668478471450308916637100.00%30100.00%053199953.15%48497849.49%32462651.76%838465878369766389
8Grand Rapids Griffins1010000013-21010000013-20000000000000.00011200363945631478471450303412620100.00%3166.67%053199953.15%48497849.49%32462651.76%838465878369766389
9Hartford Wolfpack220000001596110000007341100000086241.000152742003639456814784714503077447375240.00%10100.00%053199953.15%48497849.49%32462651.76%838465878369766389
10Henderson Silver Knights211000008801010000035-21100000053220.50081220103639456764784714503072336446233.33%3166.67%053199953.15%48497849.49%32462651.76%838465878369766389
11Hershey Bears21000010422110000002111000001021141.000459003639456624784714503049202326116.67%10100.00%053199953.15%48497849.49%32462651.76%838465878369766389
12Iowa Wild211000008801010000047-31100000041320.50081523003639456574784714503054172369222.22%10100.00%053199953.15%48497849.49%32462651.76%838465878369766389
13Laval Rocket11000000413110000004130000000000021.000461000363945634478471450304218212100.00%10100.00%053199953.15%48497849.49%32462651.76%838465878369766389
14Lehigh Valley Phantoms10000010541000000000001000001054121.0005813003639456284784714503047152114250.00%110.00%053199953.15%48497849.49%32462651.76%838465878369766389
15Ontario Reign21100000651110000004131010000024-220.5006915003639456724784714503081272285120.00%10100.00%053199953.15%48497849.49%32462651.76%838465878369766389
16Providence Bruins1010000014-31010000014-30000000000000.000123003639456314784714503030144145120.00%20100.00%053199953.15%48497849.49%32462651.76%838465878369766389
17Rochester Americans1000000134-1000000000001000000134-110.500369003639456434784714503053104172150.00%2150.00%053199953.15%48497849.49%32462651.76%838465878369766389
18Rockford IceHogs1010000013-2000000000001010000013-200.00012300363945626478471450303510211300.00%10100.00%053199953.15%48497849.49%32462651.76%838465878369766389
19San Diego Gulls 11000000633110000006330000000000021.00061117003639456284784714503041170263266.67%000%053199953.15%48497849.49%32462651.76%838465878369766389
20San Jose Barracuda21001000752100010003211100000043141.00071118003639456774784714503089242293266.67%10100.00%053199953.15%48497849.49%32462651.76%838465878369766389
21Springfield Thunderbirds2110000058-31010000027-51100000031220.5005101500363945672478471450305021433500.00%220.00%053199953.15%48497849.49%32462651.76%838465878369766389
22Syracuse Crunch2010010038-51010000015-41000010023-110.25036900363945662478471450307329234300.00%10100.00%053199953.15%48497849.49%32462651.76%838465878369766389
23Texas Stars2020000059-41010000034-11010000025-300.0005914003639456654784714503093314393266.67%2150.00%053199953.15%48497849.49%32462651.76%838465878369766389
24Toronto Marlies1000010023-11000010023-10000000000010.50023500363945637478471450303611216200.00%10100.00%053199953.15%48497849.49%32462651.76%838465878369766389
25Utica Comets20100100710-31000010034-11010000046-210.25071219003639456774784714503094248315120.00%4175.00%053199953.15%48497849.49%32462651.76%838465878369766389
26Wilkes-Barre/Scranton Penguins11000000422000000000001100000042221.000481200363945641478471450303814214200.00%10100.00%053199953.15%48497849.49%32462651.76%838465878369766389
Total41161702321124133-921711012006074-1420960112164595440.5371242093331036394561417478471450301576535896971012625.74%421173.81%053199953.15%48497849.49%32462651.76%838465878369766389
_Since Last GM Reset41161702321124133-921711012006074-1420960112164595440.5371242093331036394561417478471450301576535896971012625.74%421173.81%053199953.15%48497849.49%32462651.76%838465878369766389
_Vs Conference41161702321124133-921711012006074-1420960112164595440.5371242093331036394561417478471450301576535896971012625.74%421173.81%053199953.15%48497849.49%32462651.76%838465878369766389
_Vs Division2157013216068-81135002002637-1110220112134313200.476601001600036394567204784714503081429651346551120.00%23673.91%053199953.15%48497849.49%32462651.76%838465878369766389

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4144W2124209333141715765358969710
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4116172321124133
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2171112006074
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
209611216459
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1012625.74%421173.81%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
478471450303639456
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
53199953.15%48497849.49%32462651.76%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
838465878369766389


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 Wolves-Laval Rocket-
99581Chicago Wolves-Grand Rapids Griffins-
102596Chicago Wolves-Providence Bruins-
104606Chicago Wolves-Bakersfield Condors-
107627Abbotsford's Canucks-Chicago Wolves-
109638Lehigh Valley Phantoms-Chicago Wolves-
110647Chicago Wolves-Manitoba Moose-
112656Chicago Wolves-San Diego Gulls -
115674Rockford IceHogs-Chicago Wolves-
117685Wilkes-Barre/Scranton Penguins-Chicago Wolves-
120703Rochester Americans-Chicago Wolves-
123720Chicago Wolves-Toronto Marlies-
127738Manitoba Moose-Chicago Wolves-
131759San Jose Barracuda-Chicago Wolves-
132770Lehigh Valley Phantoms-Chicago Wolves-
135788Wilkes-Barre/Scranton Penguins-Chicago Wolves-
138809Chicago Wolves-Syracuse Crunch-
141827Chicago Wolves-Grand Rapids Griffins-
144842Chicago Wolves-Ontario Reign-
147862Chicago Wolves-Laval Rocket-
149877Charlotte Checkers-Chicago Wolves-
150882Chicago Wolves-Hershey Bears-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153896Utica Comets-Chicago Wolves-
154908San Diego Gulls -Chicago Wolves-
157930Bakersfield Condors-Chicago Wolves-
159941Chicago Wolves-Calgary Wranglers-
161952Iowa Wild-Chicago Wolves-
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
Assistance105,000105,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
20 10000 - 100.00% 372,500$7,822,500$10000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,726,164$ 3,267,000$ 3,267,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,600,500$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
7,450,000$ 95 18,414$ 1,749,330$




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