Connexion

Cougars
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Antoine Douville | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #22 vs Rocket
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Rocket
0-0-0, 0pts
2022-10-14
Cougars
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Cougars
0-0-0, 0pts
2022-10-15
Spiders
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Monarchs
0-0-0, 0pts
2022-10-17
Cougars
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralAntoine Douville
DivisionMid-Ouest
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 50
Espoirs18


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 moyen
1Isac LundestromX100.00654296826870866178637282256060050670211925,000$
2Janne KuokkanenXX100.00674293797165795829656076256060050630232900,000$
3Jacob Peterson (R)X100.00614193816858626054587159755151050610222850,000$
4Liam Foudy (R)XXX100.00787292807261616278606066574646050610213894,167$
5Klim KostinXX100.00885983747953585844615961254949050590221863,333$
6Mason ShawX100.00636755676771736480636259594444050590221750,000$
7Mike HardmanXX100.00947884687854635744605567254646050590221912,500$
8Jonas RondbjergXX100.00634295667255795425615867254646050580222806,667$
9Cole KoepkeX100.00747277637259596050556063574444050570231842,500$
10Tyler Angle (R)XX100.00696286636263645974595460514444050560212888,888$
11Lassi Thomson (R)X100.00794495727072726925644769254545050630212894,167$
12Ryan Merkley (R)X100.00614192766467766925504866254747050610213863,333$
13Isaak Phillips (R)X100.00757379647369735325415162484444050580201777,777$
14Nikita Okhotyuk (R)X100.00717170767168744725374158394444050570203795,000$
15Tarmo ReunanenX100.00736590686556575225484161394444050560232809,167$
16Mikko Kokkonen (R)X100.007469985869505053255040634044440505502021,111,111$
17Connor Corcoran (R)X100.00757281657240365725376263594444050550214813,333$
Rayé
1Kirill Marchenko (R)X100.00464188696462755555455353585051050540213825,000$
2Danila Klimovich (R)X100.00787684677653545164475163484444050540184855,833$
3Ridly Greig (R)X100.00656089616051515449524959484444050520192925,000$
MOYENNE D’ÉQUIPE100.0071598670706065584554556443474705058
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 moyen
1Pheonix Copley100.0058475982616061656363304646050600291777,777$
2Landon Bow100.0048507190464949524747294441050530261700,000$
Rayé
MOYENNE D’ÉQUIPE100.005349658654555559555530454405057
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 moyen 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
Cole KoepkeCougars (Det)LW231998-05-17No196 Lbs6 ft1NoNoNo1Pro & Farm842,500$842,500$84,250$84,250$NoLien
Connor CorcoranCougars (Det)D212000-08-07Yes192 Lbs6 ft2NoNoNo4Pro & Farm813,333$813,333$81,333$81,333$No813,333$813,333$813,333$Lien
Danila KlimovichCougars (Det)C182003-01-09Yes205 Lbs6 ft2NoNoNo4Pro & Farm855,833$855,833$85,583$85,583$No855,833$855,833$855,833$Lien
Isaak PhillipsCougars (Det)D202001-09-28Yes194 Lbs6 ft3NoNoNo1Pro & Farm777,777$777,777$77,778$77,778$NoLien
Isac LundestromCougars (Det)C211999-11-06No187 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$92,500$92,500$NoLien
Jacob PetersonCougars (Det)C221999-07-19Yes181 Lbs6 ft1NoNoNo2Pro & Farm850,000$850,000$85,000$85,000$No850,000$Lien
Janne KuokkanenCougars (Det)LW/RW231998-05-25No193 Lbs6 ft1NoNoNo2Pro & Farm900,000$900,000$90,000$90,000$No900,000$Lien
Jonas RondbjergCougars (Det)LW/RW221999-03-31No194 Lbs6 ft2NoNoNo2Pro & Farm806,667$806,667$80,667$80,667$No806,667$Lien
Kirill MarchenkoCougars (Det)C212000-07-22Yes168 Lbs6 ft3NoNoNo3Pro & Farm825,000$825,000$82,500$82,500$No825,000$825,000$Lien
Klim KostinCougars (Det)LW/RW221999-05-05No212 Lbs6 ft3NoNoNo1Pro & Farm863,333$863,333$86,333$86,333$NoLien
Landon BowCougars (Det)G261995-08-23No220 Lbs6 ft5NoNoNo1Pro & Farm700,000$700,000$70,000$70,000$NoLien
Lassi ThomsonCougars (Det)D212000-09-24Yes190 Lbs6 ft0NoNoNo2Pro & Farm894,167$894,167$89,417$89,417$No894,167$Lien
Liam FoudyCougars (Det)C/LW/RW212000-02-04Yes193 Lbs6 ft2NoNoNo3Pro & Farm894,167$894,167$89,417$89,417$No894,167$894,167$Lien
Mason ShawCougars (Det)C221998-11-02No180 Lbs5 ft9NoNoNo1Pro & Farm750,000$750,000$75,000$75,000$NoLien
Mike HardmanCougars (Det)LW/RW221999-02-05No205 Lbs6 ft2NoNoNo1Pro & Farm912,500$912,500$91,250$91,250$NoLien
Mikko KokkonenCougars (Det)D202001-01-18Yes194 Lbs5 ft11NoNoNo2Pro & Farm1,111,111$1,111,111$111,111$111,111$No1,111,111$Lien
Nikita OkhotyukCougars (Det)D202000-12-04Yes194 Lbs6 ft1NoNoNo3Pro & Farm795,000$795,000$79,500$79,500$No795,000$795,000$Lien
Pheonix CopleyCougars (Det)G291992-01-18No198 Lbs6 ft4NoNoNo1Pro & Farm777,777$777,777$77,778$77,778$NoLien
Ridly GreigCougars (Det)LW192002-08-08Yes163 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$92,500$92,500$No925,000$Lien
Ryan MerkleyCougars (Det)D212000-08-14Yes176 Lbs5 ft11NoNoNo3Pro & Farm863,333$863,333$86,333$86,333$No863,333$863,333$Lien
Tarmo ReunanenCougars (Det)D231998-03-01No179 Lbs6 ft0NoNoNo2Pro & Farm809,167$809,167$80,917$80,917$No809,167$Lien
Tyler AngleCougars (Det)C/LW212000-09-30Yes172 Lbs5 ft10NoNoNo2Pro & Farm888,888$888,888$88,889$88,889$No888,888$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2221.73190 Lbs6 ft12.00853,662$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Janne KuokkanenLiam Foudy40122
2Jacob PetersonKlim Kostin30122
3Jonas RondbjergMason ShawMike Hardman20122
4Cole KoepkeTyler AngleConnor Corcoran10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lassi ThomsonRyan Merkley40122
2Isaak PhillipsNikita Okhotyuk30122
3Tarmo ReunanenMikko Kokkonen20122
4Connor CorcoranLassi Thomson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Janne KuokkanenLiam FoudyJonas Rondbjerg60122
2Mike HardmanJacob PetersonKlim Kostin40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lassi ThomsonRyan Merkley60122
2Isaak PhillipsNikita Okhotyuk40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Liam FoudyJanne Kuokkanen60122
2Jacob PetersonMike Hardman40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lassi ThomsonRyan Merkley60122
2Isaak PhillipsNikita Okhotyuk40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Liam Foudy60122Lassi ThomsonRyan Merkley60122
2Jacob Peterson40122Isaak PhillipsNikita Okhotyuk40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Liam FoudyJanne Kuokkanen60122
2Jacob PetersonMike Hardman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lassi ThomsonRyan Merkley60122
2Isaak PhillipsNikita Okhotyuk40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Janne KuokkanenLiam FoudyJonas RondbjergLassi ThomsonRyan Merkley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Janne KuokkanenLiam FoudyJonas RondbjergLassi ThomsonRyan Merkley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Hardman, Mason Shaw, Jonas RondbjergMike Hardman, Mason ShawMike Hardman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tarmo Reunanen, Mikko Kokkonen, Connor CorcoranTarmo ReunanenTarmo Reunanen, Mikko Kokkonen
Tirs de pénalité
Janne Kuokkanen, Liam Foudy, Jacob Peterson, Klim Kostin, Mike Hardman
Gardien
#1 : Pheonix Copley, #2 : Landon Bow


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
8 - 2022-10-1422Rocket-Cougars-
9 - 2022-10-1528Cougars-Spiders-
11 - 2022-10-1744Monarchs-Cougars-
15 - 2022-10-2172Cougars-Baby Hawks-
17 - 2022-10-2388Admirals-Cougars-
19 - 2022-10-25102Spiders-Cougars-
21 - 2022-10-27111Cougars-Bruins-
23 - 2022-10-29134Minnesota-Cougars-
25 - 2022-10-31144Cougars-Crunch-
28 - 2022-11-03164Bears-Cougars-
30 - 2022-11-05182Sound Tigers-Cougars-
31 - 2022-11-06190Cougars-Wolf Pack-
33 - 2022-11-08203Rocket-Cougars-
35 - 2022-11-10217Wolf Pack-Cougars-
37 - 2022-11-12237Cougars-Monarchs-
40 - 2022-11-15255Cougars-Admirals-
42 - 2022-11-17272Cougars-Sharks-
44 - 2022-11-19280Cougars-Monsters-
48 - 2022-11-23311Chill-Cougars-
50 - 2022-11-25325Jayhawks-Cougars-
53 - 2022-11-28348Marlies-Cougars-
55 - 2022-11-30361Crunch-Cougars-
58 - 2022-12-03386Las Vegas-Cougars-
59 - 2022-12-04394Cougars-Monsters-
61 - 2022-12-06405Cougars-Thunder-
63 - 2022-12-08419Cougars-Cabaret Lady Mary Ann-
65 - 2022-12-10435Cougars-Stars-
68 - 2022-12-13460Caroline-Cougars-
69 - 2022-12-14467Cougars-Minnesota-
72 - 2022-12-17485Senators-Cougars-
74 - 2022-12-19503Cougars-Bears-
76 - 2022-12-21519Thunder-Cougars-
78 - 2022-12-23534Cougars-Senators-
83 - 2022-12-28560Cougars-Manchots-
84 - 2022-12-29563Cougars-Crunch-
86 - 2022-12-31585Senators-Cougars-
90 - 2023-01-04609Spiders-Cougars-
92 - 2023-01-06623Cabaret Lady Mary Ann-Cougars-
93 - 2023-01-07630Cougars-Marlies-
96 - 2023-01-10654Oceanics-Cougars-
98 - 2023-01-12666Marlies-Cougars-
100 - 2023-01-14679Monsters-Cougars-
102 - 2023-01-16696Cougars-Monsters-
103 - 2023-01-17710Cougars-Jayhawks-
105 - 2023-01-19727Cougars-Las Vegas-
107 - 2023-01-21735Phantoms-Cougars-
110 - 2023-01-24760Sharks-Cougars-
112 - 2023-01-26772Cougars-Rocket-
113 - 2023-01-27780Cougars-Sound Tigers-
124 - 2023-02-07815Oil Kings-Cougars-
126 - 2023-02-09825Heat-Cougars-
128 - 2023-02-11832Comets-Cougars-
130 - 2023-02-13853Cougars-Comets-
132 - 2023-02-15866Cougars-Oil Kings-
133 - 2023-02-16875Cougars-Heat-
135 - 2023-02-18894Cougars-Seattle-
138 - 2023-02-21909Cougars-Bears-
140 - 2023-02-23925Wolf Pack-Cougars-
142 - 2023-02-25942Thunder-Cougars-
145 - 2023-02-28959Cougars-Senators-
147 - 2023-03-02978Seattle-Cougars-
149 - 2023-03-04989Cougars-Sound Tigers-
150 - 2023-03-051003Cougars-Phantoms-
153 - 2023-03-081023Baby Hawks-Cougars-
156 - 2023-03-111038Cougars-Bruins-
157 - 2023-03-121053Bruins-Cougars-
159 - 2023-03-141069Cougars-Chill-
163 - 2023-03-181095Monsters-Cougars-
165 - 2023-03-201116Cabaret Lady Mary Ann-Cougars-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2023-03-211129Cougars-Chiefs-
168 - 2023-03-231141Chiefs-Cougars-
170 - 2023-03-251150Cougars-Phantoms-
173 - 2023-03-281180Manchots-Cougars-
175 - 2023-03-301195Caroline-Cougars-
176 - 2023-03-311201Cougars-Oceanics-
178 - 2023-04-021223Cougars-Marlies-
180 - 2023-04-041231Cougars-Rocket-
182 - 2023-04-061248Crunch-Cougars-
184 - 2023-04-081266Manchots-Cougars-
186 - 2023-04-101280Stars-Cougars-
187 - 2023-04-111288Cougars-Caroline-
189 - 2023-04-131300Cougars-Thunder-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,878,056$ 1,878,056$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,885$ 0$ 22 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 190 9,885$ 1,878,150$




Cougars 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

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

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

Cougars 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

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