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Cougars
GP: 14 | W: 7 | L: 7
GF: 48 | GA: 46 | PP%: 15.56% | PK%: 88.00%
DG: Antoine Douville | Morale : 50 | Moyenne d’équipe : 57
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Centre de jeu
Cougars
7-7-0, 14pts
4
FINAL
3 Monsters
13-12-0, 26pts
Team Stats
L1StreakL3
3-4-0Home Record6-6-0
4-3-0Away Record7-6-0
5-3-2Last 10 Games3-6-1
3.43Buts par match 3.24
3.29Buts contre par match 3.20
15.56%Pourcentage en avantage numérique19.70%
88.00%Pourcentage en désavantage numérique84.00%
Monsters
13-12-0, 26pts
3
FINAL
1 Cougars
7-7-0, 14pts
Team Stats
L3StreakL1
6-6-0Home Record3-4-0
7-6-0Away Record4-3-0
3-6-1Last 10 Games5-3-2
3.24Buts par match 3.43
3.20Buts contre par match 3.29
19.70%Pourcentage en avantage numérique15.56%
84.00%Pourcentage en désavantage numérique88.00%
Meneurs d'équipe
Buts
Mike Hardman
7
Passes
Mike Hardman
13
Points
Mike Hardman
20
Plus/Moins
Mike Hardman
8
Victoires
Landon Bow
7
Pourcentage d’arrêts
Landon Bow
0.91

Statistiques d’équipe
Buts pour
48
3.43 GFG
Tirs pour
488
34.86 Avg
Pourcentage en avantage numérique
15.6%
7 GF
Début de zone offensive
39.2%
Buts contre
46
3.29 GAA
Tirs contre
492
35.14 Avg
Pourcentage en désavantage numérique
88.0%%
6 GA
Début de la zone défensive
41.1%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,416
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure21
Limite contact 45 / 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
1Sean MaloneX100.00757183647156546880617166674444050610262600,000$
2Jacob Peterson (R)X100.00614193816858626054587159755151050610222850,000$
3Liam Foudy (R)XXX100.00787292807261616278606066574646050610213894,167$
4Brandon BiroX100.00696187666161606550656162584444050590231600,000$
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$
11Kirill Marchenko (R)X100.00464188696462755555455353585051050540213825,000$
12Ridly Greig (R)X100.00656089616051515449524959484444050520192925,000$
13Ryan Merkley (R)X100.00614192766467766925504866254747050610213863,333$
14Isaak Phillips (R)X100.00757379647369735325415162484444050580201777,777$
15Hunter DrewX100.00657543667571755925475758544444050580224666,666$
16Ryan SheaX100.00777289637261645325514163394444050570241600,000$
17Nikita Okhotyuk (R)X100.00717170767168744725374158394444050570203795,000$
18Tarmo ReunanenX100.00736590686556575225484161394444050560232809,167$
Rayé
1Janne KuokkanenXX100.00674293797165795829656076256060050630232900,000$
2Danila Klimovich (R)X100.00787684677653545164475163484444050540184855,833$
3Mikko Kokkonen (R)X100.007469985869505053255040634044440505502021,111,111$
4Connor Corcoran (R)X100.00757281657240365725376263594444050550214813,333$
MOYENNE D’ÉQUIPE100.0071638368705964584453556346464605058
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
1Landon Bow100.0048507190464949524747294441050530261700,000$
2Brandon Bussi (R)100.0044405087454445494545454444050490234600,047$
Rayé
MOYENNE D’ÉQUIPE100.004645618946474751464637444305051
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
1Mike HardmanCougars (Det)LW/RW14713208140532635113220.00%227119.40044436000002050.00%2200001.4700000213
2Sean MaloneCougars (Det)C14611177209517318518.22%329921.4115615370000241060.99%36400001.1300000011
3Brandon BiroCougars (Det)LW14510157001206316517.94%430721.962139370002332038.89%1800000.9800000101
4Cole KoepkeCougars (Det)LW143912-41001925337349.09%424717.7100001000060136.36%1100000.9700000110
5Jacob PetersonCougars (Det)C14369-2004373812397.89%333624.010003360000410043.13%41500000.5400000100
6Ryan MerkleyCougars (Det)D1418910013212613233.85%2734724.810221140000041000.00%000000.5200000010
7Hunter DrewCougars (Det)D14167-1240391319285.26%1330721.93011537000130000.00%000000.4600000000
8Jonas RondbjergCougars (Det)LW/RW14527-40031639102812.82%320714.8500013000000031.58%1900000.6700000010
9Liam FoudyCougars (Det)C/LW/RW14437-24017144617338.70%531222.330004380000430047.83%2300000.4500000000
10Isaak PhillipsCougars (Det)D142460240462143714.29%1734224.50101540000036000.00%000000.3500000000
11Klim KostinCougars (Det)LW/RW14426-212043153372612.12%426418.88101738000020055.56%1800000.4500000012
12Mason ShawCougars (Det)C14156-44019373611242.78%023016.47000110001230059.70%26300000.5200000000
13Nikita OkhotyukCougars (Det)D1415626022544225.00%2022816.290000400006000.00%000000.5300000000
14Tyler AngleCougars (Det)C/LW1431400017143621.43%1483.4800000000001152.38%6300001.6400000001
15Ryan SheaCougars (Det)D14213-260176851025.00%2230822.01202337000032100.00%000000.1900000000
16Tarmo ReunanenCougars (Det)D1402220013105150.00%2324117.2300003000025000.00%000000.1700000000
17Kirill MarchenkoCougars (Det)C14000000021100.00%0392.8500019000010052.17%2300000.00%00000000
18Ridly GreigCougars (Det)LW14000020001110.00%0110.83000150000000100.00%200000.00%00000000
Statistiques d’équipe totales ou en moyenne2524888136610803193074881423809.84%151435317.27713207041100043497252.70%124100000.6200000568
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
1Landon BowCougars (Det)147430.9102.9788801444900020.00%0140101
Statistiques d’équipe totales ou en moyenne147430.9102.9788801444900020140101


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
Brandon BiroCougars (Det)LW231998-03-10No167 Lbs5 ft11YesNoNo1Pro & Farm600,000$0$0$NoLien
Brandon BussiCougars (Det)G231998-06-25Yes209 Lbs6 ft5YesNoNo4Pro & Farm600,047$0$0$No600,047$600,047$600,047$Lien
Cole KoepkeCougars (Det)LW231998-05-17No196 Lbs6 ft1NoNoNo1Pro & Farm842,500$0$0$NoLien
Connor CorcoranCougars (Det)D212000-08-07Yes192 Lbs6 ft2NoNoNo4Pro & Farm813,333$0$0$No813,333$813,333$813,333$Lien
Danila KlimovichCougars (Det)C182003-01-09Yes205 Lbs6 ft2NoNoNo4Pro & Farm855,833$0$0$No855,833$855,833$855,833$Lien
Hunter DrewCougars (Det)D221998-10-21No192 Lbs6 ft2YesNoNo4Pro & Farm666,666$0$0$No666,666$666,666$666,666$Lien
Isaak PhillipsCougars (Det)D202001-09-28Yes194 Lbs6 ft3NoNoNo1Pro & Farm777,777$0$0$NoLien
Jacob PetersonCougars (Det)C221999-07-19Yes181 Lbs6 ft1NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien
Janne KuokkanenCougars (Det)LW/RW231998-05-25No193 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Jonas RondbjergCougars (Det)LW/RW221999-03-31No194 Lbs6 ft2NoNoNo2Pro & Farm806,667$0$0$No806,667$Lien
Kirill MarchenkoCougars (Det)C212000-07-22Yes168 Lbs6 ft3NoNoNo3Pro & Farm825,000$0$0$No825,000$825,000$Lien
Klim KostinCougars (Det)LW/RW221999-05-05No212 Lbs6 ft3NoNoNo1Pro & Farm863,333$0$0$NoLien
Landon Bow (contrat à 1 volet)Cougars (Det)G261995-08-23No220 Lbs6 ft5NoNoYes1Pro & Farm700,000$0$0$NoLien
Liam FoudyCougars (Det)C/LW/RW212000-02-04Yes193 Lbs6 ft2NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Lien
Mason ShawCougars (Det)C221998-11-02No180 Lbs5 ft9NoNoNo1Pro & Farm750,000$0$0$NoLien
Mike HardmanCougars (Det)LW/RW221999-02-05No205 Lbs6 ft2NoNoNo1Pro & Farm912,500$0$0$NoLien
Mikko KokkonenCougars (Det)D202001-01-18Yes194 Lbs5 ft11NoNoNo2Pro & Farm1,111,111$0$0$No1,111,111$Lien
Nikita OkhotyukCougars (Det)D202000-12-04Yes194 Lbs6 ft1NoNoNo3Pro & Farm795,000$0$0$No795,000$795,000$Lien
Ridly GreigCougars (Det)LW192002-08-08Yes163 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Ryan MerkleyCougars (Det)D212000-08-14Yes176 Lbs5 ft11NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Lien
Ryan SheaCougars (Det)D241997-02-11No190 Lbs6 ft2YesNoYes1Pro & Farm600,000$0$0$NoLien
Sean Malone (contrat à 1 volet)Cougars (Det)C261995-04-30No196 Lbs6 ft0YesNoYes2Pro & Farm600,000$0$0$No600,000$Lien
Tarmo ReunanenCougars (Det)D231998-03-01No179 Lbs6 ft0NoNoNo2Pro & Farm809,167$0$0$No809,167$Lien
Tyler AngleCougars (Det)C/LW212000-09-30Yes172 Lbs5 ft10NoNoNo2Pro & Farm888,888$0$0$No888,888$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2421.88190 Lbs6 ft12.17802,097$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam FoudyJacob PetersonKlim Kostin40122
2Brandon BiroSean MaloneMike Hardman30122
3Jonas RondbjergMason ShawCole Koepke20122
4Cole KoepkeTyler AngleJacob Peterson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan MerkleyIsaak Phillips40122
2Hunter DrewRyan Shea30122
3Nikita OkhotyukTarmo Reunanen20122
4Ryan MerkleyIsaak Phillips10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam FoudyJacob PetersonKlim Kostin60122
2Brandon BiroSean MaloneMike Hardman40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan MerkleyIsaak Phillips60122
2Hunter DrewRyan Shea40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jacob PetersonLiam Foudy60122
2Sean MaloneBrandon Biro40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan MerkleyIsaak Phillips60122
2Hunter DrewRyan Shea40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jacob Peterson60122Ryan MerkleyIsaak Phillips60122
2Liam Foudy40122Hunter DrewRyan Shea40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jacob PetersonLiam Foudy60122
2Sean MaloneBrandon Biro40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan MerkleyIsaak Phillips60122
2Hunter DrewRyan Shea40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam FoudyJacob PetersonKlim KostinRyan MerkleyIsaak Phillips
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Liam FoudyJacob PetersonKlim KostinRyan MerkleyIsaak Phillips
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kirill Marchenko, Ridly Greig, Mason ShawKirill Marchenko, Ridly GreigMason Shaw
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikita Okhotyuk, Tarmo Reunanen, Hunter DrewNikita OkhotyukTarmo Reunanen, Hunter Drew
Tirs de pénalité
Jacob Peterson, Liam Foudy, Sean Malone, Brandon Biro, Klim Kostin
Gardien
#1 : Landon Bow, #2 : Brandon Bussi


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
1Baby Hawks74300000282533210000011101422000001715280.57128528000181812023415715115525238755815323313.04%25484.00%024948751.13%26851052.55%13724456.15%33222236411619293
2Monsters734000002021-141300000811-3321000001210260.42920365621181812025415715115525254765016622418.18%25292.00%024948751.13%26851052.55%13724456.15%33222236411619293
Total14770000048462734000001921-27430000029254140.50048881362118181204881571511552549215110831945715.56%50688.00%024948751.13%26851052.55%13724456.15%33222236411619293
_Since Last GM Reset14770000048462734000001921-27430000029254140.50048881362118181204881571511552549215110831945715.56%50688.00%024948751.13%26851052.55%13724456.15%33222236411619293
_Vs Conference14770000048462734000001921-27430000029254140.50048881362118181204881571511552549215110831945715.56%50688.00%024948751.13%26851052.55%13724456.15%33222236411619293

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1414L1488813648849215110831921
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
147700004846
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73400001921
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
74300002925
Derniers 10 matchs
WLOTWOTL SOWSOL
530200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
45715.56%50688.00%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
157151155251818120
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
24948751.13%26851052.55%13724456.15%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
33222236411619293


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
2 - 2023-04-188Cougars7Baby Hawks4AWSommaire du match
4 - 2023-04-2016Cougars3Baby Hawks4ALXSommaire du match
6 - 2023-04-2224Baby Hawks2Cougars5BWSommaire du match
8 - 2023-04-2432Baby Hawks6Cougars3BLSommaire du match
10 - 2023-04-2640Cougars2Baby Hawks3ALXSommaire du match
12 - 2023-04-2848Baby Hawks2Cougars3BWSommaire du match
14 - 2023-04-3056Cougars5Baby Hawks4AWSommaire du match
16 - 2023-05-0260Monsters0Cougars2BWSommaire du match
18 - 2023-05-0464Monsters4Cougars2BLSommaire du match
20 - 2023-05-0668Cougars4Monsters5ALXSommaire du match
22 - 2023-05-0872Cougars4Monsters2AWSommaire du match
24 - 2023-05-1076Monsters4Cougars3BLSommaire du match
26 - 2023-05-1280Cougars4Monsters3AWSommaire du match
28 - 2023-05-1484Monsters3Cougars1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance11,0855,826
Assistance PCT79.18%83.23%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 2416 - 80.53% 95,824$670,770$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,795,033$ 1,795,033$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




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