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ChicagoChicago Chicago
43-25-6, 92pts · 2nd in Conference Est

Chicago
GP: 74 | W: 43 | L: 25 | OTL: 6 | P: 92
GF: 120 | GA: 113 | PP%: 19.87% | PK%: 76.69%
DG: Pascal Simoneau | Morale : 73 | Moyenne d’équipe : N/A
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Centre de jeu
Lake Erie
55-17-2, 112pts
2
FINAL
1 Chicago
43-25-6, 92pts
Team Stats
W2StreakL2
27-9-1Home Record18-15-4
28-8-1Away Record25-10-2
7-2-1Last 10 Games4-5-1
2.65Buts par match 1.62
1.54Buts contre par match 1.53
38.35%Pourcentage en avantage numérique19.87%
83.87%Pourcentage en désavantage numérique76.69%
Chicago
43-25-6, 92pts
0
FINAL
2 Hershey
33-34-7, 73pts
Team Stats
L2StreakW2
18-15-4Home Record16-17-4
25-10-2Away Record17-17-3
4-5-1Last 10 Games6-3-1
1.62Buts par match 1.46
1.53Buts contre par match 1.62
19.87%Pourcentage en avantage numérique21.45%
76.69%Pourcentage en désavantage numérique78.77%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
120
1.62 GFG
Tirs pour
935
12.64 Avg
Pourcentage en avantage numérique
19.9%
63 GF
Début de zone offensive
32.6%
Buts contre
113
1.53 GAA
Tirs contre
975
13.18 Avg
Pourcentage en désavantage numérique
76.7%%
76 GA
Début de la zone défensive
33.0%
Informations de l'équipe

Directeur généralPascal Simoneau
DivisionSud Est
ConférenceConference Est
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro12
Équipe Mineure21
Limite contact 33 / 250
Espoirs90


Historique d'équipe

Saison actuelle43-25-6 (92PTS)
Historique0-0-0


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
1Dylan HollowayXX100.008960787574597664585870662555556963002211,441,667$
2Jesse YlonenXX100.00694393727456847152575870705656646800231775,000$
3Matthew Savoie (R)X100.00646172716152496480626359604444627000193918,333$
4Vasili Ponomarev (R)X100.00726588736569716278625863554444636800212795,000$
5Will Cuylle (R)X100.00967980777958936430607060255555706800212828,333$
6Brian HalonenX100.00777483677463636550557166674444686800241925,000$
7Ian MitchellX100.00594078776367646225514774254848596800241775,000$
8Shakir Mukhamadullin (R)X100.00746986696956565625524662444444576800202894,167$
9Michael KesselringX100.00816472757368866225594970255353626800231925,000$
10Mark FriedmanX100.00797475736959586125434768255556585000271775,000$
11Marc StaalX100.007344877778637662254948772588906250003611,100,000$
Rayé
MOYENNE D’ÉQUIPE100.0076618173716171634355576741535463640
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
1Jet Greaves (R)100.0055556965575850585554304444556800221758,333$
Rayé
MOYENNE D’ÉQUIPE100.005555696557585058555430444455680
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial 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 10Link
Brian HalonenChicago (WPG)RW241999-01-11No205 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien
Dylan HollowayChicago (WPG)C/LW222001-09-23No202 Lbs6 ft1NoNoNo1Pro & Farm1,441,667$0$0$NoLien / Lien NHL
Ian MitchellChicago (WPG)D241999-01-18No174 Lbs5 ft11NoNoNo1Pro & Farm775,000$0$0$NoLien / Lien NHL
Jesse YlonenChicago (WPG)LW/RW231999-10-03No200 Lbs6 ft1NoNoNo1Pro & Farm775,000$0$0$NoLien / Lien NHL
Jet GreavesChicago (WPG)G222001-03-30Yes180 Lbs6 ft0NoNoNo1Pro & Farm758,333$0$0$NoLien / Lien NHL
Marc StaalChicago (WPG)D361987-01-12No209 Lbs6 ft4NoNoNo1Pro & Farm1,100,000$0$0$NoLien / Lien NHL
Mark FriedmanChicago (WPG)D271995-12-25No185 Lbs5 ft11NoNoNo1Pro & Farm775,000$0$0$NoLien / Lien NHL
Matthew SavoieChicago (WPG)C192004-01-01Yes174 Lbs5 ft9NoNoNo3Pro & Farm918,333$0$0$No918,333$918,333$Lien
Michael KesselringChicago (WPG)D232000-01-13No189 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Shakir MukhamadullinChicago (WPG)D202002-10-01Yes178 Lbs6 ft4NoNoNo2Pro & Farm894,167$0$0$No894,167$Lien
Vasili PonomarevChicago (WPG)C212002-03-13Yes180 Lbs5 ft10NoNoNo2Pro & Farm795,000$0$0$No795,000$Lien
Will CuylleChicago (WPG)LW212002-05-02Yes205 Lbs6 ft3NoNoNo2Pro & Farm828,333$0$0$No828,333$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1223.50190 Lbs6 ft11.42909,236$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Albany411011007702010010024-22100100053250.6257142100123957165114936938352558642522627.27%11372.73%047195749.22%50096951.60%525100752.14%186213551738501891445
2Binghamton2010100024-21010000003-31000100021120.5002460012395716291493693835223731121317.69%8275.00%047195749.22%50096951.60%525100752.14%186213551738501891445
3Bridgeport210000013301000000112-11100000021130.750369001239571632149369383522281011110110.00%9277.78%047195749.22%50096951.60%525100752.14%186213551738501891445
4Charlotte Checkers21000010422110000002111000001021141.0004590012395716231493693835221591108112.50%13284.62%047195749.22%50096951.60%525100752.14%186213551738501891445
5Chicago Wolf22000000202110000001011100000010141.00024602123957162514936938352258132108225.00%60100.00%047195749.22%50096951.60%525100752.14%186213551738501891445
6Grand Rapids22000000624110000004131100000021141.000612180012395716271493693835227849912433.33%7185.71%047195749.22%50096951.60%525100752.14%186213551738501891445
7Hamilton211000003301010000002-21100000031220.50035800123957161914936938352285135104250.00%15380.00%047195749.22%50096951.60%525100752.14%186213551738501891445
8Hartford22000000413110000001011100000031241.00048120112395716161493693835224224118450.00%70100.00%047195749.22%50096951.60%525100752.14%186213551738501891445
9Hersey22000000312110000002111100000010141.0003690112395716191493693835219610513900.00%10190.00%247195749.22%50096951.60%525100752.14%186213551738501891445
10Hershey42101000651220000004222010100023-160.75061218001239571649149369383525523102191119.09%15380.00%147195749.22%50096951.60%525100752.14%186213551738501891445
11Houston211000004311010000002-21100000041320.500481200123957162514936938352301169156116.67%12375.00%047195749.22%50096951.60%525100752.14%186213551738501891445
12Iowa2020000013-21010000012-11010000001-100.00012300123957162014936938352251515815900.00%15286.67%147195749.22%50096951.60%525100752.14%186213551738501891445
13Lake Erie30300000210-82020000026-41010000004-400.000235001239571639149369383527025249131715.88%17758.82%047195749.22%50096951.60%525100752.14%186213551738501891445
14Lowell2110000023-1110000002111010000002-220.500246001239571616149369383522769897114.29%9188.89%047195749.22%50096951.60%525100752.14%186213551738501891445
15Manchester2110000046-21010000025-31100000021120.5004812001239571626149369383522067388337.50%9455.56%047195749.22%50096951.60%525100752.14%186213551738501891445
16Manitoba22000000835110000005321100000030341.0008162401123957163414936938352206881316425.00%9188.89%047195749.22%50096951.60%525100752.14%186213551738501891445
17Milwaukee2010000114-31000000101-11010000013-210.25011200123957162714936938352251026125120.00%13376.92%047195749.22%50096951.60%525100752.14%186213551738501891445
18Norfolk5220001045-12020000015-43200001030360.60046100312395716631493693835272251512217211.76%23482.61%047195749.22%50096951.60%525100752.14%186213551738501891445
19Peroria211000005411010000023-11100000031220.50058130012395716291493693835230892156116.67%6266.67%047195749.22%50096951.60%525100752.14%186213551738501891445
20Philadelphie21100000211110000002021010000001-120.5002240112395716271493693835218533121119.09%9188.89%047195749.22%50096951.60%525100752.14%186213551738501891445
21Portland21000010422110000002111000001021141.0004610001239571621149369383522752778112.50%6183.33%047195749.22%50096951.60%525100752.14%186213551738501891445
22Providence21001000514110000003031000100021141.000510150112395716301493693835220111051411436.36%100100.00%047195749.22%50096951.60%525100752.14%186213551738501891445
23Quad City31001100541210001003301000100021150.833510150112395716451493693835235171152215320.00%10370.00%047195749.22%50096951.60%525100752.14%186213551738501891445
24Rochester3120000036-31010000012-12110000024-220.33336901123957164014936938352391440161119.09%10370.00%047195749.22%50096951.60%525100752.14%186213551738501891445
25Rochester41002001853210010004132000100144070.875815230112395716471493693835247191902619526.32%11372.73%047195749.22%50096951.60%525100752.14%186213551738501891445
26Rockford Icehogs2010100067-11010000035-21000100032120.50061218001239571623149369383522381581111545.45%9455.56%047195749.22%50096951.60%525100752.14%186213551738501891445
27Springfield2020000036-31010000002-21010000034-100.00036900123957163714936938352532011436116.67%12650.00%047195749.22%50096951.60%525100752.14%186213551738501891445
28Syracuse21100000431110000003031010000013-220.500471101123957163014936938352195801610220.00%5260.00%047195749.22%50096951.60%525100752.14%186213551738501891445
29Toronto21001000312110000001011000100021141.00035801123957161214936938352291181124125.00%8187.50%047195749.22%50096951.60%525100752.14%186213551738501891445
30Wilkes Barre21000100440110000002111000010023-130.750481200123957162414936938352279103108225.00%14471.43%047195749.22%50096951.60%525100752.14%186213551738501891445
31Worchester2020000024-21010000012-11010000012-100.0002460012395716301493693835220846157114.29%8450.00%047195749.22%50096951.60%525100752.14%186213551738501891445
Total743125093331201137371715012025761-437141008131635211920.622120223343015123957169351493693835297532429304163176319.87%3267676.69%447195749.22%50096951.60%525100752.14%186213551738501891445
_Since Last GM Reset743125093331201137371715012025761-437141008131635211920.622120223343015123957169351493693835297532429304163176319.87%3267676.69%447195749.22%50096951.60%525100752.14%186213551738501891445
_Vs Conference401810072125849919106011012523221840611133267560.70058109167011123957164801493693835251116113902191643420.73%1653081.82%147195749.22%50096951.60%525100752.14%186213551738501891445

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7492L21202233439359753242930416015
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7431259333120113
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
37171512025761
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
37141081316352
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3176319.87%3267676.69%4
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
1493693835212395716
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
47195749.22%50096951.60%525100752.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
186213551738501891445


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.
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JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2024-09-302Albany2Chicago1BLXSommaire du match
3 - 2024-10-0219Chicago2Rochester0AWSommaire du match
4 - 2024-10-0338Chicago3Albany2AWSommaire du match
6 - 2024-10-0552Chicago0Iowa1ALSommaire du match
7 - 2024-10-0662Lake Erie4Chicago1BLSommaire du match
9 - 2024-10-0882Chicago1Norfolk0AWXXSommaire du match
11 - 2024-10-1096Hershey1Chicago2BWSommaire du match
13 - 2024-10-12111Chicago2Hershey1AWXSommaire du match
14 - 2024-10-13125Norfolk3Chicago0BLSommaire du match
16 - 2024-10-15145Chicago1Norfolk0AWSommaire du match
17 - 2024-10-16150Chicago3Rochester2AWXSommaire du match
19 - 2024-10-18168Quad City0Chicago1BWSommaire du match
21 - 2024-10-20192Rochester1Chicago2BWXSommaire du match
22 - 2024-10-21209Lowell1Chicago2BWSommaire du match
24 - 2024-10-23219Chicago1Syracuse3ALSommaire du match
26 - 2024-10-25240Norfolk2Chicago1BLSommaire du match
28 - 2024-10-27258Chicago3Rockford Icehogs2AWXSommaire du match
29 - 2024-10-28269Chicago3Peroria1AWSommaire du match
31 - 2024-10-30281Houston2Chicago0BLSommaire du match
33 - 2024-11-01301Chicago2Charlotte Checkers1AWXXSommaire du match
35 - 2024-11-03315Rockford Icehogs5Chicago3BLSommaire du match
37 - 2024-11-05331Chicago1Worchester2ALSommaire du match
39 - 2024-11-07348Quad City3Chicago2BLXSommaire du match
41 - 2024-11-09368Hershey1Chicago2BWSommaire du match
43 - 2024-11-11380Chicago1Norfolk0AWSommaire du match
44 - 2024-11-12397Chicago2Quad City1AWXSommaire du match
46 - 2024-11-14409Chicago Wolf0Chicago1BWSommaire du match
48 - 2024-11-16432Peroria3Chicago2BLSommaire du match
50 - 2024-11-18446Chicago1Milwaukee3ALSommaire du match
52 - 2024-11-20460Chicago2Grand Rapids1AWSommaire du match
53 - 2024-11-21474Syracuse0Chicago3BWSommaire du match
56 - 2024-11-24502Rochester0Chicago2BWSommaire du match
58 - 2024-11-26516Chicago1Chicago Wolf0AWSommaire du match
59 - 2024-11-27529Hartford0Chicago1BWSommaire du match
61 - 2024-11-29550Chicago4Houston1AWSommaire du match
62 - 2024-11-30561Portland1Chicago2BWSommaire du match
63 - 2024-12-01581Chicago2Albany1AWXSommaire du match
65 - 2024-12-03597Grand Rapids1Chicago4BWSommaire du match
67 - 2024-12-05610Chicago0Philadelphie1ALSommaire du match
69 - 2024-12-07629Hamilton2Chicago0BLSommaire du match
70 - 2024-12-08638Chicago0Lowell2ALSommaire du match
72 - 2024-12-10657Chicago0Rochester4ALSommaire du match
73 - 2024-12-11672Bridgeport2Chicago1BLXXSommaire du match
75 - 2024-12-13690Chicago2Manchester1AWSommaire du match
76 - 2024-12-14700Milwaukee1Chicago0BLXXSommaire du match
78 - 2024-12-16721Manchester5Chicago2BLSommaire du match
80 - 2024-12-18738Chicago2Bridgeport1AWSommaire du match
82 - 2024-12-20755Providence0Chicago3BWSommaire du match
83 - 2024-12-21769Chicago2Binghamton1AWXSommaire du match
85 - 2024-12-23780Chicago1Hersey0AWSommaire du match
87 - 2024-12-25796Wilkes Barre1Chicago2BWSommaire du match
88 - 2024-12-26815Worchester2Chicago1BLSommaire du match
90 - 2024-12-28834Chicago3Hartford1AWSommaire du match
91 - 2024-12-29841Chicago0Lake Erie4ALSommaire du match
93 - 2024-12-31857Philadelphie0Chicago2BWSommaire du match
94 - 2025-01-01872Chicago3Springfield4ALSommaire du match
96 - 2025-01-03888Chicago2Wilkes Barre3ALXSommaire du match
97 - 2025-01-04896Charlotte Checkers1Chicago2BWSommaire du match
100 - 2025-01-07922Iowa2Chicago1BLSommaire du match
101 - 2025-01-08933Chicago2Toronto1AWXSommaire du match
103 - 2025-01-10950Binghamton3Chicago0BLSommaire du match
105 - 2025-01-12971Chicago2Providence1AWXSommaire du match
106 - 2025-01-13983Toronto0Chicago1BWSommaire du match
108 - 2025-01-15999Chicago3Hamilton1AWSommaire du match
110 - 2025-01-171019Manitoba3Chicago5BWSommaire du match
112 - 2025-01-191036Chicago3Manitoba0AWSommaire du match
113 - 2025-01-201050Hersey1Chicago2BWSommaire du match
115 - 2025-01-221066Chicago1Rochester2ALXXSommaire du match
117 - 2025-01-241080Springfield2Chicago0BLSommaire du match
120 - 2025-01-271106Albany2Chicago1BLSommaire du match
123 - 2025-01-301129Rochester2Chicago1BLSommaire du match
126 - 2025-02-021143Chicago2Portland1AWXXSommaire du match
130 - 2025-02-061165Lake Erie2Chicago1BLSommaire du match
131 - 2025-02-071177Chicago0Hershey2ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
10,400,388$ 10,910,833$ 10,910,833$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 10,400,388$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 82,658$ 0$




Chicago Leaders statistiques (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 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 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 Leaders statistiques (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 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