Connexion

Chicago Cougars
GP: 11 | W: 6 | L: 3 | OTL: 2 | P: 14
GF: 28 | GA: 25 | PP%: 15.79% | PK%: 96.15%
DG: Yves Dionne | Morale : 40 | Moyenne d’équipe : 77
Prochains matchs #165 vs San Diego Mariners
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
New Jersey Knights
4-3-1, 9pts
3
FINAL
5 Chicago Cougars
6-3-2, 14pts
Team Stats
W1SéquenceL1
4-1-0Fiche domicile3-1-0
0-2-1Fiche visiteur3-2-2
4-3-1Derniers 10 matchs6-3-1
3.13Buts par match 2.55
2.50Buts contre par match 2.27
10.00%Pourcentage en avantage numérique15.79%
88.24%Pourcentage en désavantage numérique96.15%
Chicago Cougars
6-3-2, 14pts
1
FINAL
2 Halifax Icebreakers
2-8-0, 4pts
Team Stats
L1SéquenceW1
3-1-0Fiche domicile1-4-0
3-2-2Fiche visiteur1-4-0
6-3-1Derniers 10 matchs2-8-0
2.55Buts par match 1.80
2.27Buts contre par match 4.10
15.79%Pourcentage en avantage numérique3.57%
96.15%Pourcentage en désavantage numérique85.71%
San Diego Mariners
4-5-1, 9pts
Jour 14
Chicago Cougars
6-3-2, 14pts
Statistiques d’équipe
L1SéquenceL1
3-1-1Fiche domicile3-1-0
1-4-0Fiche visiteur3-2-2
4-5-110 derniers matchs6-3-1
2.40Buts par match 2.55
2.60Buts contre par match 2.55
16.13%Pourcentage en avantage numérique15.79%
97.22%Pourcentage en désavantage numérique96.15%
Halifax Icebreakers
2-8-0, 4pts
Jour 16
Chicago Cougars
6-3-2, 14pts
Statistiques d’équipe
W1SéquenceL1
1-4-0Fiche domicile3-1-0
1-4-0Fiche visiteur3-2-2
2-8-010 derniers matchs6-3-1
1.80Buts par match 2.55
4.10Buts contre par match 2.55
3.57%Pourcentage en avantage numérique15.79%
85.71%Pourcentage en désavantage numérique96.15%
Chicago Cougars
6-3-2, 14pts
Jour 18
Alberta Oilers
5-4-1, 11pts
Statistiques d’équipe
L1SéquenceW1
3-1-0Fiche domicile2-2-1
3-2-2Fiche visiteur3-2-0
6-3-110 derniers matchs5-4-1
2.55Buts par match 2.70
2.27Buts contre par match 2.70
15.79%Pourcentage en avantage numérique16.28%
96.15%Pourcentage en désavantage numérique92.86%
Meneurs d'équipe
Buts
Josh Norris
7
Passes
Adam Fox
9
Points
Adam Fox
12
Plus/Moins
Josh Norris
6
Victoires
Joey Daccord
6
Pourcentage d’arrêts
Joey Daccord
0.917

Statistiques d’équipe
Buts pour
28
2.55 GFG
Tirs pour
345
31.36 Avg
Pourcentage en avantage numérique
15.8%
6 GF
Début de zone offensive
41.3%
Buts contre
25
2.27 GAA
Tirs contre
301
27.36 Avg
Pourcentage en désavantage numérique
96.2%%
1 GA
Début de la zone défensive
35.7%
Informations de l'équipe

Directeur généralYves Dionne
DivisionBobby Hull
ConférenceMURPHY
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomInternational Amphitheater
Capacité22,000
Assistance17,303
Billets de saison8,800


Informations de la formation

Équipe Pro22
Équipe Mineure21
Limite contact 43 / 250
Espoirs37


Plafond salarial Non Activé

Cap Salarial de la Saison estimé48,720,500$
Plafond salarial disponible34,779,500$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22


Finance

Revenu annuel à ce jour6,767,105$
Dépenses annuelles à ce jour5,363,724$
Revenus de la saison estimés62,595,721$
Dépenses de la saison estimées43,356,769$
Compte bancaire actuel291,302,362$
Compte bancaire projeté310,541,314$


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
1Josh NorrisX100.007752868272835585777077698167780407902515,000,000$
2Matty BeniersX100.00615290826983858084707165776073040760221842,500$
3Tyson FoersterX100.00715386777682858250617463735871040750222925,000$
4Max DomiX100.006168658263798874718263607179770407502936,000,000$
5Alexandre TexierX100.006254857771808667506668817269710407502521,300,000$
6Ryan McLeodX100.00635190777479896878656875506570040740251798,000$
7Connor McMichaelX100.00595386776481887374637377606371040740231832,500$
8Cole PerfettiX100.00565190776279787953697560506072040740221832,500$
9Zach Benson (R)X100.00585485765680787050696970505368040710193950,000$
10Filip ZadinaX100.00625290776678797352597064606968040710252832,500$
11Joey AndersonX100.00645190736979606250656371507068040710261700,000$
12Kaapo KakkoX100.005752877374786770675672595065670407002321,800,000$
13Noah DobsonX100.006654868779908785408572806066930408502424,000,000$
14Adam FoxX100.005954858562887985408580805068950408402611,100,000$
15Brady SkjeiX100.006354858278868878408375835780850408403024,200,000$
16Thomas ChabotX100.006352868274885685408176715075840408202758,000,000$
17Miro HeiskanenX100.006258858573907885408572725069900408202525,000,000$
18Henri JokiharjuX100.006952887767848166407160745069710407502522,400,000$
19Calen AddisonX100.00607374776082798140715366506468040730243825,000$
Rayé
1Owen TippettX100.00805190827282868553737863547179040800252832,500$
Équipe Mineure
1David GustafssonX100.00575090687369545568595863496659040650241775,000$
2Rasmus KupariX100.00585090677469435571545259456456040630243900,000$
3Grigori DenisenkoX100.00735081676376305535505053316455040620243775,000$
4Nikita SoshnikovX100.00745090736260555531505050308054040600313800,000$
5Connor BunnamanX100.00535083737160555547505050306449040590261750,000$
6Shane BowersX100.00505090637074305542505153316155040590252750,000$
7Mavrik Bourque (R)X100.00575090725976305551505050305654040590222925,000$
8Kole LindX100.00695090636971305537505050306654040590261874,125$
9Matt Savoie (R)X100.00455090715469305537505050305451040580203950,000$
10Gavin Brindley (R)X100.00455090625377305537505050305453040570203950,000$
11Jakub ZborilX100.00685189737060555535565968497063040690274975,000$
12Cameron Crotty (R)X100.00885090637275305538505060305955040660252775,000$
13Dysin MayoX100.00645075737060555530505059306553040640284850,000$
14Drew HellesonX100.00495072737460555531506451395858040620232925,000$
15Will ButcherX100.005350907359605555305457534471630406202913,500,000$
16Carl DahlstromX100.00435072738860555530605050307165040620293750,000$
17Ethan Del Mastro (R)X100.00565090628184305536505056305555040620213867,500$
18Alec RegulaX100.00535063738160555531505057306353040620243775,000$
19Lucas JohansenX100.00475072636879305536555059316560040610275775,000$
20Rinat ValievX100.00444555737960555530505050305461040590293700,000$
MOYENNE D’ÉQUIPE100.0064558579698379775471707058677604077
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
1Joey Daccord100.0080909279788282838486787083040830282800,000$
2Filip Gustavsson100.0080859176758778788075846481040810261750,000$
Rayé
Équipe Mineure
1Marcus Hogberg100.0068306590587462605358746463040650301700,000$
MOYENNE D’ÉQUIPE100.008088927877858081828181678204082
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
1Adam FoxChicago CougarsD1139126401293813197.89%1722020.020331134022021200%0138001.0900000101
2Noah DobsonChicago CougarsD116612620142031161519.35%1427024.55101634022121200%01115000.8900000031
3Josh NorrisChicago CougarsC1174116401284242216.67%120618.761125342024231049.69%159196011.0700000200
4Brady SkjeiChicago CougarsD1134704091721131414.29%1822720.64101631000023000%0817000.6200000000
5Thomas ChabotChicago CougarsD11156-100883110153.23%1122720.72022830000324000%0198000.5300000010
6Matty BeniersChicago CougarsC11145-3201482710193.70%121019.100337300001210051.02%147152000.4800000100
7Max DomiChicago CougarsLW1104442115153105110%319717.920221320000190022.22%992000.4100120000
8Tyson FoersterChicago CougarsC113030801162661311.54%217415.89000000001140038.84%121122000.3400000000
9Cole PerfettiChicago CougarsRW11123-220862111144.76%218516.85101531000000040.00%591000.3200000000
10Alexandre TexierChicago CougarsLW11123-275112383412.50%318416.75112431000000060.00%1026000.3300001001
11Miro HeiskanenChicago CougarsD11112-71210511157136.67%716014.560000000000100%0512000.2500101001
12Filip ZadinaChicago CougarsRW11022-100458480%215814.430000000000000%383000.2500000000
13Connor McMichaelChicago CougarsC111122008612118.33%2908.27101214000000080.00%512000.4400000000
14Owen TippettChicago CougarsRW7011120826250%015622.310001210000120028.00%2544000.1300000000
15Calen AddisonChicago CougarsD11011-180002000%2524.750000000000000%003000.3800000000
16Kaapo KakkoChicago CougarsRW11000-200303210%0383.530000000000000%03000000000000
17Zach BensonChicago CougarsLW11000-120812186100%416214.7600000000020050.00%46300000000000
18Henri JokiharjuChicago CougarsD11000-74011138530%1416815.290000000004000%00800000000000
19Ryan McLeodChicago CougarsC11000-4007514170%1837.6000000000010054.76%424200000000000
20Joey AndersonChicago CougarsRW11000-500344110%2827.4900000000000025.00%40100000000000
Statistiques d’équipe totales ou en moyenne216284674-1182301711663451201958.12%106325615.086121856326246101906046.44%534148105010.4500222444
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
1Joey DaccordChicago Cougars116320.9172.2766201253011720000110220
Statistiques d’équipe totales ou en moyenne116320.9172.276620125301172000110220


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
Adam FoxChicago CougarsD261998-02-17No185 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,100,000$978,899$1,100,000$978,899$No------------------
Alexandre TexierChicago CougarsLW251999-09-13No201 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,300,000$1,156,881$1,300,000$1,156,881$No1,300,000$--------No--------
Brady SkjeiChicago CougarsD301994-03-26No210 Lbs6 ft3NoNoTrade2024-10-28NoNo2Pro & Farm4,200,000$3,737,615$4,200,000$3,737,615$No4,200,000$--------No--------
Calen AddisonChicago CougarsD242000-04-11No173 Lbs5 ft11NoNoN/ANoNo32024-08-28Pro & Farm825,000$734,174$825,000$734,174$No825,000$825,000$-------NoNo-------
Cole PerfettiChicago CougarsRW222002-01-01No185 Lbs5 ft11NoNoN/ANoNo12024-08-08Pro & Farm832,500$740,849$832,500$740,849$No------------------
Connor McMichaelChicago CougarsC232001-01-15No180 Lbs6 ft0NoNoN/ANoNo12024-08-08Pro & Farm832,500$740,849$832,500$740,849$No------------------
Filip GustavssonChicago CougarsG261998-06-07No184 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$667,431$750,000$667,431$No------------------
Filip ZadinaChicago CougarsRW251999-11-27No190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm832,500$740,849$832,500$740,849$No832,500$--------No--------
Henri JokiharjuChicago CougarsD251999-06-17No200 Lbs6 ft0NoNoN/ANoNo2Pro & Farm2,400,000$2,135,780$2,400,000$2,135,780$No2,400,000$--------No--------
Joey AndersonChicago CougarsRW261998-06-19No207 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$622,936$700,000$622,936$No------------------
Joey DaccordChicago CougarsG281996-08-19No201 Lbs6 ft2NoNoN/ANoNo2Pro & Farm800,000$711,927$800,000$711,927$No800,000$--------No--------
Josh NorrisChicago CougarsC251999-05-05No195 Lbs6 ft2NoNoN/ANoNo1Pro & Farm5,000,000$4,449,541$5,000,000$4,449,541$No------------------
Kaapo KakkoChicago CougarsRW232001-02-13No205 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,800,000$1,601,835$1,800,000$1,601,835$No1,800,000$--------No--------
Matty BeniersChicago CougarsC222002-11-05No178 Lbs6 ft2NoNoN/ANoNo1Pro & Farm842,500$749,748$842,500$749,748$No------------------
Max DomiChicago CougarsLW291995-03-02No208 Lbs5 ft10NoNoN/ANoNo3Pro & Farm6,000,000$5,339,450$6,000,000$5,339,450$No6,000,000$6,000,000$-------NoNo-------
Miro HeiskanenChicago CougarsD251999-07-18No197 Lbs6 ft2NoNoN/ANoNo2Pro & Farm5,000,000$4,449,541$5,000,000$4,449,541$No5,000,000$--------No--------
Noah DobsonChicago CougarsD242000-01-07No200 Lbs6 ft4NoNoN/ANoNo2Pro & Farm4,000,000$3,559,633$4,000,000$3,559,633$No4,000,000$--------No--------
Owen TippettChicago CougarsRW251999-02-16No210 Lbs6 ft1NoNoN/ANoNo2Pro & Farm832,500$740,849$832,500$740,849$No832,500$--------No--------
Ryan McLeodChicago CougarsC251999-09-21No188 Lbs6 ft3NoNoN/ANoNo1Pro & Farm798,000$710,147$798,000$710,147$No------------------
Thomas ChabotChicago CougarsD271997-01-30No203 Lbs6 ft2NoNoTrade2024-10-28NoNo52024-08-20Pro & Farm8,000,000$7,119,266$8,000,000$7,119,266$No8,000,000$8,000,000$8,000,000$8,000,000$-----NoNoNoNo-----
Tyson FoersterChicago CougarsC222002-01-18No215 Lbs6 ft2NoNoN/ANoNo2Pro & Farm925,000$823,165$925,000$823,165$No925,000$--------No--------
Zach BensonChicago CougarsLW192005-05-12Yes170 Lbs5 ft10NoNoTrade (Prospect)NoNo32024-08-08Pro & Farm950,000$845,413$950,000$845,413$No950,000$950,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2224.82195 Lbs6 ft11.912,214,568$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
48,720,500$37,865,000$15,775,000$8,000,000$8,000,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max DomiJosh NorrisConnor McMichael34122
2Alexandre TexierMatty BeniersCole Perfetti30122
3Zach BensonTyson FoersterFilip Zadina26122
4Kaapo KakkoRyan McLeodJoey Anderson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah DobsonAdam Fox34122
2Brady SkjeiThomas Chabot30122
3Miro HeiskanenHenri Jokiharju26122
4Calen AddisonNoah Dobson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max DomiJosh NorrisConnor McMichael51122
2Alexandre TexierMatty BeniersCole Perfetti49122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah DobsonAdam Fox51122
2Brady SkjeiThomas Chabot49122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyson FoersterJosh Norris51122
2Matty BeniersMax Domi49122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah DobsonAdam Fox51122
2Brady SkjeiThomas Chabot49122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Max Domi51122Noah DobsonAdam Fox51122
2Josh Norris49122Brady SkjeiThomas Chabot49122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Connor McMichaelJosh Norris51122
2Matty BeniersMax Domi49122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah DobsonAdam Fox51122
2Brady SkjeiThomas Chabot49122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max DomiJosh NorrisConnor McMichaelNoah DobsonAdam Fox
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max DomiJosh NorrisConnor McMichaelNoah DobsonAdam Fox
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor McMichael, Kaapo Kakko, Tyson FoersterConnor McMichael, Kaapo KakkoTyson Foerster
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Miro Heiskanen, Henri Jokiharju, Calen AddisonMiro HeiskanenHenri Jokiharju, Calen Addison
Tirs de pénalité
Connor McMichael, Josh Norris, Matty Beniers, Max Domi, Tyson Foerster
Gardien
#1 : Joey Daccord, #2 : Filip Gustavsson
Lignes d’attaque personnalisées en prolongation
Kaapo Kakko, Josh Norris, Matty Beniers, Max Domi, Tyson Foerster, Alexandre Texier, Alexandre Texier, Ryan McLeod, Connor McMichael, Cole Perfetti, Filip Zadina
Lignes de défense personnalisées en prolongation
Noah Dobson, Adam Fox, Brady Skjei, Thomas Chabot, Miro Heiskanen


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
1Alberta Oilers1010000014-31010000014-30000000000000.0001120001003116690289613500.00%30100.00%010621948.40%8318943.92%5912248.36%2315217158
2Cincinnati Stingers21000100431000000000002100010043130.75045901202060319191401983010110.00%40100.00%010621948.40%8318943.92%5912248.36%503240163016
3Halifax Icebreakers1010000012-1000000000001010000012-100.00012300010041161114022914194125.00%20100.00%010621948.40%8318943.92%5912248.36%2618207137
4Indiana Racers2010010058-3000000000002010010058-310.2505101500212067232321065198406116.67%4175.00%010621948.40%8318943.92%5912248.36%432744153115
5Laval Chiefs11000000413110000004130000000000021.00047110010302881190311611144250.00%30100.00%010621948.40%8318943.92%5912248.36%1911257157
6New England Whalers22000000523000000000002200000052341.000571200212054231219052151333300.00%40100.00%010621948.40%8318943.92%5912248.36%442743153115
7New Jersey Knights11000000532110000005320000000000021.0005914003200392289029714133133.33%20100.00%110621948.40%8318943.92%5912248.36%2417206147
8Ottawa Nationals10001000321100010003210000000000021.000358000111259871341289300.00%40100.00%110621948.40%8318943.92%5912248.36%1811268147
Total1153012002825342101000131037320020015150140.636284674011071013451488810723011068217138615.79%26196.15%210621948.40%8318943.92%5912248.36%2511612448416685
_Since Last GM Reset1153012002825342101000131037320020015150140.636284674011071013451488810723011068217138615.79%26196.15%210621948.40%8318943.92%5912248.36%2511612448416685
_Vs Conference1153012002825342101000131037320020015150140.636284674011071013451488810723011068217138615.79%26196.15%210621948.40%8318943.92%5912248.36%2511612448416685
_Vs Division823012001820-231101000871512002001013-380.50018304801548125210368792220845512532515.63%20195.00%110621948.40%8318943.92%5912248.36%1811161806212062

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1114L12846743453011068217101
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
115312002825
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42110001310
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
73202001515
Derniers 10 matchs
WLOTWOTL SOWSOL
531100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
38615.79%26196.15%2
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
148881072107101
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
10621948.40%8318943.92%5912248.36%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2511612448416685


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
13Chicago Cougars3Indiana Racers4ALXSommaire du match
217Chicago Cougars3New England Whalers1AWSommaire du match
334Chicago Cougars2Cincinnati Stingers0AWSommaire du match
447Ottawa Nationals2Chicago Cougars3BWXSommaire du match
561Alberta Oilers4Chicago Cougars1BLSommaire du match
680Chicago Cougars2New England Whalers1AWSommaire du match
788Chicago Cougars2Cincinnati Stingers3ALXSommaire du match
995Laval Chiefs1Chicago Cougars4BWSommaire du match
10113Chicago Cougars2Indiana Racers4ALSommaire du match
11127New Jersey Knights3Chicago Cougars5BWSommaire du match
12147Chicago Cougars1Halifax Icebreakers2ALSommaire du match
14165San Diego Mariners-Chicago Cougars-
16187Halifax Icebreakers-Chicago Cougars-
18210Chicago Cougars-Alberta Oilers-
19220Indiana Racers-Chicago Cougars-
20238Chicago Cougars-Denver Spurs-
21253Ottawa Nationals-Chicago Cougars-
23274Los Angeles Sharks-Chicago Cougars-
24288Chicago Cougars-Miami ScreamingEagles-
25308Indiana Racers-Chicago Cougars-
26325Chicago Cougars-New Jersey Knights-
27331Chicago Cougars-Laval Chiefs-
28349Calgary Cowboys-Chicago Cougars-
30370Chicago Cougars-Indiana Racers-
31378Laval Chiefs-Chicago Cougars-
32399Minnesota FightingSaints-Chicago Cougars-
33422Manhattan Raiders-Chicago Cougars-
34429Chicago Cougars-San Diego Mariners-
36453Chicago Cougars-Winnipeg Jets-
37462Halifax Icebreakers-Chicago Cougars-
38479Chicago Cougars-Halifax Icebreakers-
40495Phoenix Roadrunners-Chicago Cougars-
41517Chicago Cougars-Ottawa Nationals-
42530Chicago Cougars-Halifax Icebreakers-
43541New Jersey Knights-Chicago Cougars-
44560Cincinnati Stingers-Chicago Cougars-
46575Chicago Cougars-Indiana Racers-
47593Chicago Cougars-Birmingham Bulls-
48604Ottawa Nationals-Chicago Cougars-
49625Birmingham Bulls-Chicago Cougars-
51639Chicago Cougars-Michigan Stags-
52655Alberta Oilers-Chicago Cougars-
53671Chicago Cougars-Orlando SolarBears-
54681Chicago Cougars-Denver Spurs-
56695San Diego Mariners-Chicago Cougars-
58724Alberta Oilers-Chicago Cougars-
59731Chicago Cougars-Alberta Oilers-
61750Chicago Cougars-Detroit Gladiators-
62765Denver Spurs-Chicago Cougars-
63787Miami ScreamingEagles-Chicago Cougars-
64807Manhattan Raiders-Chicago Cougars-
65816Chicago Cougars-Cleveland Crusaders-
68845Denver Spurs-Chicago Cougars-
69852Chicago Cougars-Laval Chiefs-
70869Chicago Cougars-Cleveland Crusaders-
71881Birmingham Bulls-Chicago Cougars-
72892Chicago Cougars-New England Whalers-
73906Chicago Cougars-Denver Spurs-
74922San Francisco Shamrocks-Chicago Cougars-
75944Winnipeg Jets-Chicago Cougars-
76959Chicago Cougars-Houston Aeros-
78979Houston Aeros-Chicago Cougars-
79989Chicago Cougars-Cincinnati Stingers-
801002Chicago Cougars-San Francisco Shamrocks-
821021Laval Chiefs-Chicago Cougars-
831035Chicago Cougars-Ottawa Nationals-
841049San Francisco Shamrocks-Chicago Cougars-
851072Calgary Cowboys-Chicago Cougars-
861086Chicago Cougars-Houston Aeros-
881104Chicago Cougars-Dayton Firebirds-
891114Cincinnati Stingers-Chicago Cougars-
901136Chicago Cougars-New York GoldenBlades-
911145Toronto Toros-Chicago Cougars-
931170Chicago Cougars-San Francisco Shamrocks-
941179Baltimore Blades-Chicago Cougars-
961202New England Whalers-Chicago Cougars-
971209Chicago Cougars-Cincinnati Stingers-
981229Winnipeg Jets-Chicago Cougars-
1001247Chicago Cougars-Quebec Nordiques-
1021269Vancouver Grizzlies-Chicago Cougars-
1031278Chicago Cougars-Philly Blazers-
1071300Miami ScreamingEagles-Chicago Cougars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité64005400340044002400
Prix des billets100755530175
Assistance19,52116,6999,08217,0656,844
Attendance PCT76.25%77.31%66.78%96.96%71.29%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 17303 - 78.65% 1,691,776$6,767,105$22000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
5,363,724$ 48,720,500$ 48,720,500$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
48,720,500$ 5,363,724$ 0$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
62,595,721$ 97 446,977$ 43,356,769$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
43,356,769$ 291,302,362$ 310,541,314$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
48,720,500$ 34,779,500$ 83,500,000$ 6,720,500$



Charte de profondeur

Ailier gaucheCentreAilier droit
Max DomiAGE:29PO:0OV:75
Alexandre TexierAGE:25PO:0OV:75
Zach Benson (R)AGE:19PO:0OV:71
Grigori DenisenkoAGE:24PO:0OV:62
Nikita SoshnikovAGE:31PO:0OV:60
Josh NorrisAGE:25PO:0OV:79
Matty BeniersAGE:22PO:0OV:76
Tyson FoersterAGE:22PO:0OV:75
Ryan McLeodAGE:25PO:0OV:74
Connor McMichaelAGE:23PO:0OV:74
David GustafssonAGE:24PO:0OV:65
Rasmus KupariAGE:24PO:0OV:63
Mavrik Bourque (R)AGE:22PO:0OV:59
Kole LindAGE:26PO:0OV:59
Matt Savoie (R)AGE:20PO:0OV:58
Gavin Brindley (R)AGE:20PO:0OV:57
Owen TippettAGE:25PO:0OV:80
Cole PerfettiAGE:22PO:0OV:74
Filip ZadinaAGE:25PO:0OV:71
Joey AndersonAGE:26PO:0OV:71
Kaapo KakkoAGE:23PO:0OV:70
Connor BunnamanAGE:26PO:0OV:59
Shane BowersAGE:25PO:0OV:59

Défense #1Défense #2Gardien
Noah DobsonAGE:24PO:0OV:85
Adam FoxAGE:26PO:0OV:84
Brady SkjeiAGE:30PO:0OV:84
Thomas ChabotAGE:27PO:0OV:82
Miro HeiskanenAGE:25PO:0OV:82
Henri JokiharjuAGE:25PO:0OV:75
Calen AddisonAGE:24PO:0OV:73
Jakub ZborilAGE:27PO:0OV:69
Cameron Crotty (R)AGE:25PO:0OV:66
Dysin MayoAGE:28PO:0OV:64
Drew HellesonAGE:23PO:0OV:62
Will ButcherAGE:29PO:0OV:62
Carl DahlstromAGE:29PO:0OV:62
Ethan Del Mastro (R)AGE:21PO:0OV:62
Alec RegulaAGE:24PO:0OV:62
Lucas JohansenAGE:27PO:0OV:61
Rinat ValievAGE:29PO:0OV:59
Joey DaccordAGE:28PO:0OV:83
Filip GustavssonAGE:26PO:0OV:81
Marcus HogbergAGE:30PO:0OV:65

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Adam IngramChicago Cougars00
Alexander PashinChicago Cougars2020199
Arttu RuotsalainenChicago Cougars00
Calle ClangChicago Cougars202077
Cam AllenChicago Cougars00
Carter GeorgeChicago Cougars2024570Lien
Connor McClennonChicago Cougars2020178
David NoelChicago Cougars00
Denis GabdrakhmanovChicago Cougars20242010Lien
Dmitry GamzinChicago Cougars20241150Lien
Dylan WellsChicago Cougars00
Ethan HaiderChicago Cougars00
Francesco PinelliChicago Cougars00
Gabe PerreaultChicago Cougars00
Hugo GabrielsonChicago Cougars00
Ilya NikolayevChicago Cougars00
Ilya PautovChicago Cougars20241730Lien
Isaiah GeorgeChicago Cougars00
Isaiah SavilleChicago Cougars00
Ivan LodniaChicago Cougars201785
Jack MaloneChicago Cougars00
Jimmy SnuggerudChicago Cougars00
Josh FilmonChicago Cougars00
Judd CaudfieldChicago Cougars00
Kasper KalonummiChicago Cougars00
Kevin ReidlerChicago Cougars00
Matthew RobertsonChicago Cougars00
Michael VukojevicChicago Cougars00
Owen LindmarkChicago Cougars00
Owen MclaughlinChicago Cougars00
Remi PoirierChicago Cougars00
Roman SchmidtChicago Cougars00
Ryan O'ReillyChicago Cougars201898
Shawn BoudriasChicago Cougars2018179
Tarin SmithChicago Cougars2024790Lien
Trevor ConnellyChicago Cougars2024190Lien
Yegor YegorovChicago Cougars000Lien

Choix au repêchage

Année R1R2R3R4R5R6
2025CHI CHI CHI CHI CHI
2026CHI CHI CHI CHI CHI CHI
2027CHI CHI CHI CHI CHI CHI
2028CHI CHI CHI CHI CHI CHI
2029CHI CHI CHI CHI CHI CHI
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Chicago Cougars Historique de transactions

[2024-10-28 07:45:40] - TRADE : From Alberta Oilers to Chicago Cougars : Thomas Chabot (82).
[2024-10-28 07:45:40] - TRADE : From Chicago Cougars to Alberta Oilers : Michael Rasmussen (78), Owen Beck (57).
[2024-10-28 07:45:08] - TRADE : From Philly Blazers to Chicago Cougars : Brady Skjei (84).
[2024-10-28 07:45:08] - TRADE : From Chicago Cougars to Philly Blazers : Alex Newhook (77), Isac Lundestrom (73), Y:2025-RND:4-CHI.
[2024-10-03 08:05:58] - Denis Gabdrakhmanov has been added to Chicago Cougars.
[2024-10-03 08:05:58] - Ilya Pautov has been added to Chicago Cougars.
[2024-10-03 08:05:58] - Yegor Yegorov has been added to Chicago Cougars.
[2024-10-03 08:05:58] - Dmitry Gamzin has been added to Chicago Cougars.
[2024-10-03 08:05:58] - Tarin Smith has been added to Chicago Cougars.
[2024-10-03 08:05:58] - Carter George has been added to Chicago Cougars.
[2024-10-03 08:05:58] - Trevor Connelly has been added to Chicago Cougars.
[2024-09-02 15:02:04] - Pheonix Copley was released.
[2024-09-02 15:02:04] - Chicago Cougars paid $0 to release Pheonix Copley.
[2024-09-02 15:01:59] - David Rittich was released.
[2024-09-02 15:01:59] - Chicago Cougars paid $0 to release David Rittich.
[2024-09-02 15:01:45] - Liam O'Brien was released.
[2024-09-02 15:01:45] - Chicago Cougars paid $0 to release Liam O'Brien.
[2024-07-20 11:26:58] - Pontus Aberg was released by Chicago Cougars
[2024-07-20 10:42:51] - Charles Hudon was released by Chicago Cougars
[2024-07-19 13:59:52] - Arttu Ruotsalainen has been added to Chicago Cougars.
[2024-07-19 07:18:52] - Michael Paliotta was released by Chicago Cougars
[2024-07-19 07:18:32] - Arttu Ruotsalainen was released by Chicago Cougars



[2024-11-20 19:41:35] Chicago Cougars lines for next game are empty. Current rosters/lines are not erased.
[2024-11-19 18:59:47] Chicago Cougars lines for next game are empty. Current rosters/lines are not erased.
[2024-11-19 18:59:47] Pro Game #127 - Josh Norris from Chicago Cougars has scored a Hat Trick!
[2024-11-19 18:59:43] Auto Lines Partial Function has been run for Chicago Cougars.
[2024-11-18 19:55:41] Auto Lines Partial Function has been run for Chicago Cougars.
[2024-11-17 19:14:43] Auto Lines Partial Function has been run for Chicago Cougars.
[2024-11-13 19:09:48] Owen Tippett from Chicago Cougars is back from Exhaustion.
[2024-11-13 19:09:37] Owen Tippett from Chicago Cougars is injured from Exhaustion.



Pas de blessure ou de suspension.


Chicago Cougars 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 Cougars 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 Cougars 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 Cougars 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 Cougars 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