Cougars

GP: 78 | W: 54 | L: 18 | OTL: 6 | P: 114
GF: 308 | GA: 230 | PP%: 23.18% | PK%: 79.58%
DG: Antoine Douville | Morale : 50 | Moyenne d'Équipe : 59
Prochain matchs #1210 vs Bears
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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
1Denis GurianovXX100.00765494787664897131607358255555050640221925,000$
2Sam BennettXXX100.008345778374647963555967602565660506302331,600,000$
3Janne KuokkanenXX100.00766988766971736275646067595050050620212792,500$
4Isac LundestromX100.00614199806866687276725564254646050620193925,000$
5Michael McLeodX100.00814489797056855974635572254747050620212925,000$
6Brian PinhoX100.00726492666480856075546262594444050600242666,666$
7Zack MacEwenXX100.00869169668062725650567263254545050600233925,000$
8Klim KostinXXX100.00747466707472765871555964594545050590203863,333$
9Anthony AngelloX100.00767969667974785873496364604444050590231560,001$
10Jonathan Davidsson (R)X100.00746789766752535050474861464444050540223666,666$
11Jakob Forsbacka Karlsson (R)X100.00473592695849355156515161473734050510221900,000$
12Jonas Rondbjerg (R)XXX100.00504695647162854353354444465454050500204806,667$
13Dennis GilbertX100.00999952617767745825494881254646050640221650,000$
14Vince DunnX100.00684987857370926925555356256061050640221825,000$
15Cale FleuryX100.00904694777464735325394769254747050620202771,666$
16Doyle SomerbyX100.00808076628369814625353965375252050590252725,000$
17Guillaume BriseboisX100.00746981686768704925394063395151050580221700,000$
18Jack DoughertyX100.00736983636970754925384062394949050570231926,000$
Rayé
1Dennis YanX100.00747282637266695550475664555252050570221560,000$
2Mason ShawX100.00716486586462645569485760544444050550201666,666$
MOYENNE D'ÉQUIPE100.0074638371716574575051546340494905059
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 SP
1Pheonix Copley100.0060597383585964646261304646050610
2Vitek Vanecek100.0062637968606461686359304444050610
Rayé
1James Reimer100.0070636682787076707971796869050710
2Josef Korenar100.0051637970475350565050304444050540
3Evan Cormier100.0047486081454650534748304444050510
MOYENNE D'ÉQUIPE100.005859717758586062605840494905060
Nom du Coach 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
1Isac LundestromCougars (Det)C782859872310014260310922239.03%20164921.14813214015420261964159.58%193200001.0619000342
2Janne KuokkanenCougars (Det)C/LW7838458334220711773428324711.11%28162620.85910195218900061207357.38%18300001.0205000394
3Sam BennettCougars (Det)C/LW/RW7127558240280178249348662037.76%22163923.09313163916700072192055.05%192000111.00511000754
4Dennis GilbertCougars (Det)D782242643614430333961824911112.09%163180023.0981018731950004195330.00%000000.7100303517
5Klim KostinCougars (Det)C/LW/RW7827356220620221107281792099.61%17139317.86381150155000172256.25%11200000.8901000418
6Michael McLeodCougars (Det)C78273360193401232302647722810.23%20136217.4720283501161385258.96%141800000.8815000192
7Zack MacEwenCougars (Det)C/RW7828245236695241692446319411.48%10142418.265813411890000010039.13%11500100.7300001863
8Cale FleuryCougars (Det)D781036462050011276138341077.25%103170421.866814461760004209200.00%000000.5400000204
9Vince DunnCougars (Det)D593384136006699449873.19%62142224.1101212421580223190110.00%000000.5800000011
10Denis GurianovCougars (Det)LW/RW36221840248027591975515411.17%783423.19369257900041203137.77%32300010.9679000432
11Doyle SomerbyCougars (Det)D78102333206151734077355212.99%109165821.27145201640000206110.00%000000.4000010123
12Guillaume BriseboisCougars (Det)D7872431184751264765193610.77%97130816.77123745000063010.00%000000.4700001030
13Jonathan DavidssonCougars (Det)RW44131225-11353852100196113.00%871316.22011346000033053.06%4900000.7000000212
14Dennis YanCougars (Det)LW5310152513235654811539818.70%870713.3500001000010150.91%5500000.7100100110
15Jack DoughertyCougars (Det)D762171922440100353813305.26%84123016.20112411000195000.00%000000.3100000011
16Dominik KahunDetroitC/LW/RW1131316900631408317.50%226123.801235260001350143.82%35600001.2223000200
17Brian PinhoCougars (Det)C766410980132334132217.65%82803.691014140001470156.76%14800000.7111000001
18Jonas RondbjergCougars (Det)C/LW/RW63336-2203132731911.11%0103016.35000156000010050.67%7500000.1200000000
19Anthony AngelloCougars (Det)C7610112077133107.69%1560.74000115000000066.67%2700000.3602000000
20Jakob Forsbacka KarlssonCougars (Det)C47011200046040.00%1531.13000220000410050.00%3800000.3800000000
21Mason ShawCougars (Det)C29000000010000.00%0291.03000030000200060.87%2300000.0000000000
Stats d'équipe Total ou en Moyenne13432874977843796275518571693291579921099.85%7702218916.5252981504631889235441914431855.54%677400220.711746415434744
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
1Vitek VanecekCougars (Det)49311250.9143.0128894214516890110.733304929424
2James ReimerCougars (Det)2923510.9252.48176521739750010.72218290522
3Josef KorenarCougars (Det)20100.9172.2254002240000.0000019000
4Pheonix CopleyCougars (Det)10000.9124.8737003340000.0000030000
Stats d'équipe Total ou en Moyenne81541860.9182.8247476322327220120.729487878946


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Anthony AngelloCougars (Det)C231996-03-06No209 Lbs6 ft5YesNoNo1Pro & Farm560,001$24,086$56,000$2,409$NoLien
Brian PinhoCougars (Det)C241995-05-10No173 Lbs6 ft0YesNoNo2Pro & Farm666,666$28,673$66,667$2,867$No666,666$Lien
Cale FleuryCougars (Det)D201998-11-19No203 Lbs6 ft1NoNoNo2Pro & Farm771,666$33,189$77,167$3,319$No771,666$Lien
Denis GurianovCougars (Det)LW/RW221997-06-07No200 Lbs6 ft3NoNoNo1Pro & Farm925,000$39,784$92,500$3,978$NoLien
Dennis GilbertCougars (Det)D221996-10-30No198 Lbs6 ft2NoNoNo1Pro & Farm650,000$27,956$65,000$2,796$NoLien
Dennis YanCougars (Det)LW221997-04-14No197 Lbs6 ft1YesNoNo1Pro & Farm560,000$24,086$56,000$2,409$NoLien
Doyle SomerbyCougars (Det)D251994-07-04No218 Lbs6 ft6NoNoNo2Pro & Farm725,000$31,182$72,500$3,118$No725,000$Lien
Evan CormierCougars (Det)G211997-11-05No202 Lbs6 ft3NoNoNo2Pro & Farm650,000$27,956$65,000$2,796$No650,000$Lien
Guillaume BriseboisCougars (Det)D221997-07-21No175 Lbs6 ft2NoNoNo1Pro & Farm700,000$30,107$70,000$3,011$NoLien
Isac LundestromCougars (Det)C191999-11-06No185 Lbs6 ft0NoNoNo3Pro & Farm925,000$39,784$92,500$3,978$No925,000$925,000$Lien
Jack DoughertyCougars (Det)D231996-05-24No186 Lbs6 ft1NoNoNo1Pro & Farm926,000$39,827$92,600$3,983$NoLien
Jakob Forsbacka KarlssonCougars (Det)C221996-10-31Yes184 Lbs6 ft1NoNoNo1Pro & Farm900,000$38,709$90,000$3,871$NoLien
James ReimerCougars (Det)G311988-03-15No217 Lbs6 ft2YesNoNo6Pro & Farm2,222,222$95,579$222,222$9,558$No2,222,222$2,222,222$2,222,222$2,222,222$2,222,222$Lien
Janne KuokkanenCougars (Det)C/LW211998-05-25No188 Lbs6 ft1NoNoNo2Pro & Farm792,500$34,086$79,250$3,409$No792,500$Lien
Jonas RondbjergCougars (Det)C/LW/RW201999-03-31Yes194 Lbs6 ft2NoNoNo4Pro & Farm806,667$34,695$80,667$3,470$No806,667$806,667$806,667$Lien
Jonathan DavidssonCougars (Det)RW221997-03-12Yes185 Lbs5 ft11YesNoNo3Pro & Farm666,666$28,673$66,667$2,867$No666,666$666,666$Lien
Josef KorenarCougars (Det)G211998-01-31No185 Lbs6 ft1NoNoNo2Pro & Farm723,333$31,111$72,333$3,111$No723,333$Lien
Klim KostinCougars (Det)C/LW/RW201999-05-05No196 Lbs6 ft3NoNoNo3Pro & Farm863,333$37,132$86,333$3,713$No863,333$863,333$Lien
Mason ShawCougars (Det)C201998-11-02No180 Lbs5 ft9YesNoNo1Pro & Farm666,666$28,673$66,667$2,867$NoLien
Michael McLeodCougars (Det)C211998-02-03No187 Lbs6 ft2NoNoNo2Pro & Farm925,000$39,784$92,500$3,978$No925,000$Lien
Pheonix CopleyCougars (Det)G271992-01-18No200 Lbs6 ft4YesNoNo3Pro & Farm777,777$33,452$77,778$3,345$No777,777$777,777$Lien
Sam BennettCougars (Det)C/LW/RW231996-06-19No200 Lbs6 ft1NoNoNo3Pro & Farm1,600,000$68,817$160,000$6,882$No1,600,000$1,600,000$Lien
Vince DunnCougars (Det)D221996-10-28No203 Lbs6 ft0NoNoNo1Pro & Farm825,000$35,483$82,500$3,548$NoLien
Vitek VanecekCougars (Det)G231996-01-08No180 Lbs6 ft1NoNoNo2Pro & Farm800,000$34,408$80,000$3,441$No800,000$Lien
Zack MacEwenCougars (Det)C/RW231996-07-08No205 Lbs6 ft3NoNoNo3Pro & Farm925,000$39,784$92,500$3,978$No925,000$925,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2522.36194 Lbs6 ft22.12862,140$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Denis GurianovSam BennettZack MacEwen40122
2Janne KuokkanenIsac LundestromKlim Kostin30122
3Jonas RondbjergMichael McLeodJonathan Davidsson20122
4Denis GurianovBrian PinhoSam Bennett10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Vince DunnDennis Gilbert40122
2Cale FleuryDoyle Somerby30122
3Guillaume BriseboisJack Dougherty20122
4Vince DunnDennis Gilbert10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Denis GurianovSam BennettZack MacEwen60122
2Janne KuokkanenIsac LundestromKlim Kostin40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Vince DunnDennis Gilbert60122
2Cale FleuryDoyle Somerby40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Denis GurianovSam Bennett60122
2Isac LundestromMichael McLeod40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Vince DunnDennis Gilbert60122
2Cale FleuryDoyle Somerby40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Denis Gurianov60122Vince DunnDennis Gilbert60122
2Sam Bennett40122Cale FleuryDoyle Somerby40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Denis GurianovSam Bennett60122
2Isac LundestromMichael McLeod40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Vince DunnDennis Gilbert60122
2Cale FleuryDoyle Somerby40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Denis GurianovSam BennettZack MacEwenVince DunnDennis Gilbert
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Denis GurianovSam BennettZack MacEwenVince DunnDennis Gilbert
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Anthony Angello, Jakob Forsbacka Karlsson, Brian PinhoAnthony Angello, Jakob Forsbacka KarlssonBrian Pinho
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Guillaume Brisebois, Jack Dougherty, Cale FleuryGuillaume BriseboisJack Dougherty, Cale Fleury
Tirs de Pénalité
Denis Gurianov, Sam Bennett, Isac Lundestrom, Michael McLeod, Janne Kuokkanen
Gardien
#1 : Vitek Vanecek, #2 : Pheonix Copley


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
LigueDomicileVisiteur
# 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
1Admirals22000000862110000004311100000043141.0008152300123987720849821048985102491412639333.33%6266.67%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
2Baby Hawks21100000651110000004221010000023-120.500681400123987720849821048985102702818541218.33%9188.89%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
3Bears201000108801010000056-11000001032120.5008142200123987720879821048985102692814568112.50%7528.57%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
4Bruins42100010161152010001078-12200000093660.75016264201123987720151982104898510214246409815320.00%19478.95%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
5Cabaret Lady Mary Ann44000000218132200000092722000000126681.00021345500123987720250982104898510212035181176116.67%90100.00%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
6Caroline330000001385220000009631100000042261.00013243700123987720100982104898510211225228212325.00%110100.00%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
7Chiefs1000000134-11000000134-10000000000010.500358001239877203798210489851023681017100.00%5180.00%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
8Chill21000001972110000006331000000134-130.7509152400123987720559821048985102861823463133.33%8275.00%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
9Comets21000010853110000003121000001054141.0008122000123987720559821048985102782118485120.00%90100.00%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
10Crunch4210001014140210000109632110000058-360.75014233700123987720125982104898510215552391011119.09%17382.35%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
11Heat22000000954110000006421100000031241.00091726001239877209398210489851026125275222100.00%11281.82%11682290557.90%1525279454.58%719131654.64%2040143816915561021524
12Jayhawks2020000036-31010000013-21010000023-100.000347001239877207798210489851027627144710110.00%70100.00%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
13Las Vegas21100000651110000006151010000004-420.5006111700123987720739821048985102741524595360.00%11281.82%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
14Manchots321000001082220000008351010000025-340.6671020300112398772011098210489851021314324789111.11%11281.82%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
15Marlies321000001064220000009451010000012-140.6671017270112398772095982104898510288242691600.00%13376.92%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
16Minnesota220000001468110000008441100000062441.00014264000123987720125982104898510259106524125.00%2150.00%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
17Monarchs20101000810-2100010005411010000036-320.5008142200123987720809821048985102992720536233.33%8537.50%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
18Monsters31200000810-2110000003122020000059-420.3338142210123987720103982104898510275322561700.00%10460.00%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
19Monsters21100000981110000006331010000035-220.500916251012398772082982104898510277148445240.00%30100.00%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
20Oceanics21100000963110000007341010000023-120.50091726001239877206498210489851029318164813430.77%8275.00%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
21Oil Kings22000000826110000004131100000041341.0008142200123987720589821048985102502410426233.33%50100.00%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
22Phantoms3120000078-12020000014-31100000064220.3337111800123987720120982104898510211534537010110.00%16287.50%11682290557.90%1525279454.58%719131654.64%2040143816915561021524
23Rocket410001111717020000110770210000011010060.75017294600123987720140982104898510217143429210550.00%19478.95%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
24Senators420000202213921000010128421000010105581.000223759001239877201869821048985102151421610014535.71%8275.00%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
25Sharks211000007431010000012-11100000062420.50071219001239877206098210489851027021184213215.38%9277.78%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
26Sound Tigers310010011091110000004312000100166050.8331017270012398772012198210489851021023720828337.50%100100.00%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
27Spiders321000009901010000025-32200000074340.66791524001239877201129821048985102901836666116.67%13469.23%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
28Stars21000010972110000004311000001054141.0009142300123987720949821048985102641225507228.57%10280.00%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
29Thunder320000011495110000006242100000187150.833142539001239877201239821048985102742515625120.00%5260.00%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
Total784418021853082307839257011411631075639191101044145123221140.7313085288362312398772030699821048985102272478464919362335423.18%2845879.58%21682290557.90%1525279454.58%719131654.64%2040143816915561021524
30Wolf Pack330000001367110000004132200000095461.000132235001239877201259821048985102871810635120.00%5180.00%01682290557.90%1525279454.58%719131654.64%2040143816915561021524
_Since Last GM Reset784418021853082307839257011411631075639191101044145123221140.7313085288362312398772030699821048985102272478464919362335423.18%2845879.58%21682290557.90%1525279454.58%719131654.64%2040143816915561021524
_Vs Conference342160014214010040181310012179473216850002161538530.77914023737710123987720139398210489851021203339281857962526.04%1281687.50%11682290557.90%1525279454.58%719131654.64%2040143816915561021524
_Vs Division16420000157431483000001301911812000002724390.2815799156001239877205809821048985102557174143406561628.57%661380.30%11682290557.90%1525279454.58%719131654.64%2040143816915561021524

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
78114L130852883630692724784649193623
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7844182185308230
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
392571141163107
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3919111044145123
Derniers 10 Matchs
WLOTWOTL SOWSOL
630001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2335423.18%2845879.58%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
9821048985102123987720
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
1682290557.90%1525279454.58%719131654.64%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2040143816915561021524


Derniers Match 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
4 - 2020-10-2525Cougars3Chill4LXXSommaire du Match
5 - 2020-10-2632Stars3Cougars4WSommaire du Match
7 - 2020-10-2840Admirals3Cougars4WSommaire du Match
9 - 2020-10-3048Cougars6Rocket5WSommaire du Match
11 - 2020-11-0167Marlies0Cougars3WSommaire du Match
14 - 2020-11-0489Cougars5Comets4WXXSommaire du Match
16 - 2020-11-06103Cougars3Heat1WSommaire du Match
17 - 2020-11-07111Cougars4Oil Kings1WSommaire du Match
21 - 2020-11-11137Comets1Cougars3WSommaire du Match
22 - 2020-11-12143Cougars5Senators1WSommaire du Match
24 - 2020-11-14159Crunch3Cougars4WXXSommaire du Match
26 - 2020-11-16171Chiefs4Cougars3LXXSommaire du Match
28 - 2020-11-18184Oil Kings1Cougars4WSommaire du Match
31 - 2020-11-21199Cougars4Caroline2WSommaire du Match
32 - 2020-11-22209Cougars7Cabaret Lady Mary Ann3WSommaire du Match
34 - 2020-11-24222Chill3Cougars6WSommaire du Match
36 - 2020-11-26235Cougars5Wolf Pack4WSommaire du Match
38 - 2020-11-28249Bruins4Cougars2LSommaire du Match
40 - 2020-11-30266Las Vegas1Cougars6WSommaire du Match
42 - 2020-12-02278Cougars4Admirals3WSommaire du Match
44 - 2020-12-04293Cougars3Monarchs6LSommaire du Match
46 - 2020-12-06313Cougars6Sharks2WSommaire du Match
49 - 2020-12-09323Senators4Cougars5WXXSommaire du Match
51 - 2020-12-11337Cougars2Monsters4LSommaire du Match
53 - 2020-12-13356Cougars4Spiders2WSommaire du Match
54 - 2020-12-14363Caroline3Cougars4WSommaire du Match
57 - 2020-12-17379Marlies4Cougars6WSommaire du Match
59 - 2020-12-19397Cougars6Phantoms4WSommaire du Match
60 - 2020-12-20407Bears6Cougars5LSommaire du Match
62 - 2020-12-22421Sound Tigers3Cougars4WSommaire du Match
67 - 2020-12-27456Manchots0Cougars4WSommaire du Match
70 - 2020-12-30477Cougars2Oceanics3LSommaire du Match
72 - 2021-01-01491Oceanics3Cougars7WSommaire du Match
74 - 2021-01-03508Cougars4Rocket5LXXSommaire du Match
75 - 2021-01-04517Monarchs4Cougars5WXSommaire du Match
77 - 2021-01-06529Monsters1Cougars3WSommaire du Match
81 - 2021-01-10557Cougars1Marlies2LSommaire du Match
82 - 2021-01-11567Jayhawks3Cougars1LSommaire du Match
88 - 2021-01-17596Cougars5Cabaret Lady Mary Ann3WSommaire du Match
89 - 2021-01-18607Cougars5Thunder3WSommaire du Match
91 - 2021-01-20620Sharks2Cougars1LSommaire du Match
94 - 2021-01-23640Cougars5Stars4WXXSommaire du Match
96 - 2021-01-25657Cougars2Baby Hawks3LSommaire du Match
98 - 2021-01-27669Rocket3Cougars4WXXSommaire du Match
101 - 2021-01-30689Senators4Cougars7WSommaire du Match
103 - 2021-02-01705Crunch3Cougars5WSommaire du Match
105 - 2021-02-03717Cougars3Sound Tigers2WXSommaire du Match
108 - 2021-02-06740Manchots3Cougars4WSommaire du Match
109 - 2021-02-07749Cabaret Lady Mary Ann1Cougars3WSommaire du Match
111 - 2021-02-09759Cougars3Monsters5LSommaire du Match
113 - 2021-02-11767Cougars6Minnesota2WSommaire du Match
122 - 2021-02-20785Cougars4Wolf Pack1WSommaire du Match
123 - 2021-02-21797Wolf Pack1Cougars4WSommaire du Match
125 - 2021-02-23811Phantoms2Cougars0LSommaire du Match
128 - 2021-02-26827Cougars2Crunch7LSommaire du Match
129 - 2021-02-27841Cougars3Monsters5LSommaire du Match
131 - 2021-03-01855Bruins4Cougars5WXXSommaire du Match
133 - 2021-03-03866Cougars3Crunch1WSommaire du Match
135 - 2021-03-05884Cougars3Spiders2WSommaire du Match
137 - 2021-03-07895Cougars5Bruins3WSommaire du Match
138 - 2021-03-08906Cougars2Manchots5LSommaire du Match
140 - 2021-03-10923Rocket4Cougars3LXSommaire du Match
143 - 2021-03-13941Cougars3Sound Tigers4LXXSommaire du Match
145 - 2021-03-15963Heat4Cougars6WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
147 - 2021-03-17975Spiders5Cougars2LSommaire du Match
149 - 2021-03-19989Minnesota4Cougars8WSommaire du Match
151 - 2021-03-211005Cougars5Senators4WXXSommaire du Match
153 - 2021-03-231017Monsters3Cougars6WSommaire du Match
157 - 2021-03-271044Baby Hawks2Cougars4WSommaire du Match
159 - 2021-03-291060Thunder2Cougars6WSommaire du Match
161 - 2021-03-311074Caroline3Cougars5WSommaire du Match
163 - 2021-04-021087Cougars3Bears2WXXSommaire du Match
165 - 2021-04-041100Cougars3Thunder4LXXSommaire du Match
167 - 2021-04-061121Cabaret Lady Mary Ann1Cougars6WSommaire du Match
171 - 2021-04-101152Cougars2Jayhawks3LSommaire du Match
172 - 2021-04-111160Cougars0Las Vegas4LSommaire du Match
175 - 2021-04-141176Cougars4Bruins0WSommaire du Match
177 - 2021-04-161196Phantoms2Cougars1LSommaire du Match
179 - 2021-04-181210Bears-Cougars-
182 - 2021-04-211233Cougars-Chiefs-
184 - 2021-04-231242Cougars-Marlies-
186 - 2021-04-251264Thunder-Cougars-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets5020
Assistance47,17026,091
Assistance PCT60.47%66.90%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
2 1878 - 62.62% 73,854$2,880,320$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,101,455$ 2,155,351$ 2,155,351$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
11,588$ 2,102,661$ 25 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
147,709$ 8 11,588$ 92,704$




LigueDomicileVisiteur
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