Cougars

GP: 82 | W: 60 | L: 16 | OTL: 6 | P: 126
GF: 399 | GA: 292 | PP%: 27.70% | PK%: 77.40%
DG: Antoine Douville | Morale : 50 | Moyenne d'Équipe : 48
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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 SP
1Sven BaertschiXX100.00494387726368726335586865564945050620
2Nick ShoreX100.00543588756761605381535274484436050590
3Jujhar KhairaXX100.00686179737558525479486067484236050580
4Tanner KeroXX100.00473591745861385781565871484237050580
5Dmitrij JaskinXXX100.00813589657559635040505066454744050570
6Tomas JurcoXX100.00593586696258415335456163454841050550
7Lukas SedlakXX100.00664385707154524885445257483835050540
8Shane PrinceXX100.00504382636459395264525252484136050530
9Denis GurianovXX100.00463594707051333335333362473532050470
10Alex Schoenborn (R)X100.00394343436737373943393943413230050420
11Cole Cassels (R)X100.00394343435437373943393943413230050410
12Brandon DavidsonX100.00714383646962484835464969484237050580
13Mirco MuellerX100.00523590606958384235453980484136050570
14Ryan MurphyX100.00513580725762394535434767484542050560
15Dylan Blujus (R)X100.00414545456239394145414145433230050440
16Guillaume Brisebois (R)X100.00414343436240404143414143423230050430
17Doyle Somerby (R)X100.00373737377637373737373737373230050410
Rayé
1Adrian Kempe (R)XX100.00574381726760615972566264643734050590
2Connor Brickley (R)XXX100.00704384737053425235525272483734050570
3Matt PuempelXX100.00524386697153415035415956443734050530
4Nic PetanXXX100.00463587705353394846465053484236050510
5Michael McLeod (R)X100.00505050506250505050505050503230050490
6Steven Fogarty (R)X100.00493555677354353535353564483532050480
7Janne Kuokkanen (R)XXX100.00473595666152353535353560483532050470
8Tyrell Goulbourne (R)X100.00553588646646353535353560483532050470
9Jakob Forsbacka KarlssonX100.00423594705846333349333353473532050450
10Matt Filipe (R)X100.00434343436843434343434343433230050440
11Vaclav Karabacek (R)X100.00414545456639394145414145433230050430
12Alex Dostie (R)X100.00404040405140404040404040403230050410
13Troy Bourke (R)XX100.00394343434237373943393943413230050410
14Mikhail Vorobyov (R)X100.00384040406737373840383840393230050410
15Giorgio Estephan (R)X100.00373737376337373737373737373230050390
16Chris BigrasX100.00523591656150363535383263483734050510
17Keegan Lowe (R)X100.00553595636251353135303266483734050510
18Jack Dougherty (R)X100.00414545455939394145414145433230050440
19William Borgen (R)X100.00404040406540404040404040403230050420
20Dennis Gilbert (R)X100.00384040406637373840383840393230050410
MOYENNE D'ÉQUIPE100.0049406858644942444643455546373405049
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
1Jason Kasdorf100.0043455363434141424159583532050450
2Sami Aittokallio100.0047454363433941393737363734050430
Rayé
1Vitek Vanecek (R)100.0043454365424141414141403230050430
2Evan Cormier (R)100.0040404075404040404040403230050430
3Sam Brittain (R)100.0038403882373636363636353230050410
4Sean Maguire (R)100.0038403875373636363636353230050410
5Niklas Lundstrom (R)100.0035373568343333333333333230050380
MOYENNE D'ÉQUIPE100.004142417039383838384040333105042
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Cassidy99978999897792CAN532500,000$


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 GP 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
1Tanner KeroCougars (Det)C/LW82416410549140481432959220813.90%27128215.6461319361200000194260.42%9600011.6422000943
2Nick ShoreCougars (Det)C82365793442207721130410720811.84%17129515.807714361220114745066.53%143700011.4446000678
3Brandon DavidsonCougars (Det)D82236790241180193116244981859.43%126186322.731422361502750112190200.00%000000.9700000562
4Mirco MuellerCougars (Det)D732442662120063821965413312.24%112149620.501311241202210004162220.00%000000.8800000443
5Dmitrij JaskinCougars (Det)C/LW/RW8225356043660129521814810013.81%1597511.900881283000092147.30%7400001.2300000347
6Jujhar KhairaCougars (Det)C/LW73273360324820621081574111717.20%1678010.690224150001395169.51%66900001.5400220464
7Ryan MurphyCougars (Det)D73162945174207173102286115.69%68108914.924042746000030110.00%000000.8300000312
8Tomas JurcoCougars (Det)LW/RW73162743374017461383210511.59%96779.28000110001383151.52%6600001.2700000154
9Adrian KempeCougars (Det)C/LW30102737420103048100268810.00%358519.50591419900115701161.60%63800001.2625002120
10Connor BrickleyCougars (Det)C/LW/RW39162036146610714297287316.49%153913.843710764000001057.58%3300001.3300101102
11Sven BaertschiCougars (Det)LW/RW12919281440132153185216.98%426221.9036911360001303250.00%1400002.1311000311
12Shane PrinceCougars (Det)LW/RW82101424-6160163096284910.42%25486.69044638000001156.67%3000000.8700000012
13Troy StecherDetroitD32419231020049375017408.00%4173923.1036928109000088110.00%000000.6200000110
14Lukas SedlakCougars (Det)C/LW7381119-11235354257174514.04%43885.3300026000093065.74%39700000.9800001011
15Dylan BlujusCougars (Det)D59257777257714192810.53%2784814.3700002000078000.00%000000.1700113000
16Nic PetanCougars (Det)C/LW/RW8145-500422236194.35%112515.7400023000030048.51%13400000.7900000000
17Janne KuokkanenCougars (Det)C/LW/RW8314-540316195815.79%513316.65000020000120040.00%1500000.6000000001
18Matt PuempelCougars (Det)LW/RW8123-51151310266193.85%112916.2400034000050080.00%1000000.4600100000
19Jack DoughertyCougars (Det)D80227801202020.00%1016420.54000130000023000.00%000000.2400000001
20Alex SchoenbornCougars (Det)RW59011-17402259150.00%13025.1300000000000046.15%2600000.0700000000
21Doyle SomerbyCougars (Det)D80112001910110.00%711814.830000000009000.00%000000.1700000000
22William BorgenCougars (Det)D80002401000100.00%211514.490000600000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne105427248075227859175103411192168656152612.55%4991446413.725895153465128303318897341364.19%363900021.04914537414341
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
1Sami AittokallioCougars (Det)52311150.8653.7328194117513000200.741275073011
2Jason KasdorfCougars (Det)2318400.8773.37133600756080400.6676230100
3Adam WilcoxDetroit88000.8933.0349520252330100.778980100
Stats d'équipe Total ou en Moyenne83571550.8723.5546516127521410700.738428173211


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adrian KempeCougars (Det)C/LW211996-09-13Yes195 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm925,000$92,500$0$NoLien
Alex DostieCougars (Det)C201997-04-13Yes173 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm742,500$74,250$0$NoLien
Alex SchoenbornCougars (Det)RW211995-12-12Yes196 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Brandon DavidsonCougars (Det)D261991-08-21No208 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm640,000$64,000$0$NoLien
Chris BigrasCougars (Det)D221995-02-22No190 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm865,000$86,500$0$NoLien
Cole CasselsCougars (Det)C221995-05-04Yes178 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm667,000$66,700$0$NoLien
Connor BrickleyCougars (Det)C/LW/RW251992-02-25Yes203 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm605,000$60,500$0$NoLien
Denis GurianovCougars (Det)LW/RW201997-06-07No200 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm925,000$92,500$0$NoLien
Dennis GilbertCougars (Det)D201996-10-30Yes200 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Dmitrij JaskinCougars (Det)C/LW/RW241993-03-23No216 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm850,000$85,000$0$NoLien
Doyle SomerbyCougars (Det)D231994-07-04Yes223 Lbs6 ft5NoNoNo4Avec RestrictionPro & Farm725,000$72,500$0$NoLien
Dylan BlujusCougars (Det)D231994-01-22Yes191 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm743,000$74,300$0$NoLien
Evan CormierCougars (Det)G191997-11-06Yes200 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Giorgio EstephanCougars (Det)C201997-02-03Yes191 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Guillaume BriseboisCougars (Det)D201997-07-21Yes190 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Jack DoughertyCougars (Det)D211996-05-25Yes186 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm925,000$92,500$0$NoLien
Jakob Forsbacka KarlssonCougars (Det)C201996-10-31No184 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm900,000$90,000$0$NoLien
Janne KuokkanenCougars (Det)C/LW/RW191998-05-25Yes188 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm792,500$79,250$0$NoLien
Jason KasdorfCougars (Det)G251992-05-18No172 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm667,000$66,700$0$NoLien
Jujhar KhairaCougars (Det)C/LW231994-08-13No214 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Keegan LoweCougars (Det)D241993-03-29Yes193 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm740,000$74,000$0$NoLien
Lukas SedlakCougars (Det)C/LW241993-02-25No205 Lbs6 ft0NoNoNo5Avec RestrictionPro & Farm999,999$100,000$0$NoLien
Matt FilipeCougars (Det)LW191997-12-31Yes197 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Matt PuempelCougars (Det)LW/RW241993-01-24No205 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm833,000$83,300$0$NoLien
Michael McLeodCougars (Det)C191998-02-03Yes188 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm925,000$92,500$0$NoLien
Mikhail VorobyovCougars (Det)C201997-01-05Yes194 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Mirco MuellerCougars (Det)D221995-03-21No210 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Nic PetanCougars (Det)C/LW/RW221995-03-22No179 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm693,000$69,300$0$NoLien
Nick ShoreCougars (Det)C251992-09-26No195 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Niklas LundstromCougars (Det)G241993-01-10Yes187 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm698,000$69,800$0$NoLien
Ryan MurphyCougars (Det)D241993-03-31No185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm1,000,000$100,000$0$NoLien
Sam BrittainCougars (Det)G251992-05-10Yes215 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm780,000$78,000$0$NoLien
Sami AittokallioCougars (Det)G251992-08-06No174 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm555,555$55,556$0$NoLien
Sean MaguireCougars (Det)G241993-02-02Yes203 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm650,000$65,000$0$NoLien
Shane PrinceCougars (Det)LW/RW241992-11-16No193 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm900,000$90,000$0$NoLien
Steven FogartyCougars (Det)C241993-04-19Yes209 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm700,000$70,000$0$NoLien
Sven BaertschiCougars (Det)LW/RW241992-10-05No192 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm1,600,000$160,000$0$NoLien
Tanner KeroCougars (Det)C/LW251992-07-24No185 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm667,000$66,700$0$NoLien
Tomas JurcoCougars (Det)LW/RW241992-12-28No188 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm750,000$75,000$0$NoLien
Troy BourkeCougars (Det)C/LW231994-03-30Yes156 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm640,000$64,000$0$NoLien
Tyrell GoulbourneCougars (Det)LW231994-01-26Yes195 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm652,000$65,200$0$NoLien
Vaclav KarabacekCougars (Det)RW211996-05-02Yes196 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Vitek VanecekCougars (Det)G211996-01-09Yes180 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm693,000$69,300$0$NoLien
William BorgenCougars (Det)D201996-12-19Yes199 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
4422.36194 Lbs6 ft12.50778,944$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Tanner KeroNick Shore30122
3Dmitrij JaskinJujhar KhairaTomas Jurco20122
4Shane PrinceLukas SedlakAlex Schoenborn10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon Davidson40122
2Mirco Mueller30122
3Ryan MurphyDylan Blujus20122
4Brandon Davidson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Tanner KeroNick Shore40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon Davidson60122
2Mirco Mueller40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Nick Shore40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon Davidson60122
2Mirco Mueller40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Brandon Davidson60122
240122Mirco Mueller40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Nick Shore40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon Davidson60122
2Mirco Mueller40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brandon Davidson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brandon Davidson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jujhar Khaira, Dmitrij Jaskin, Tomas JurcoJujhar Khaira, Dmitrij JaskinTomas Jurco
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Murphy, Dylan Blujus, Ryan MurphyDylan Blujus,
Tirs de Pénalité
, , , Nick Shore, Tanner Kero
Gardien
#1 : , #2 : Sami Aittokallio


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
1Admirals200001108801000010045-11000001043130.750812200016812297227010991011104584831639386350.00%12283.33%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
2Baby Hawks200000117701000000123-11000001054130.7507101700168122972279109910111045845919173612325.00%6183.33%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
3Bears330000001064110000002112200000085361.00010162600168122972210110991011104584732322571516.67%11463.64%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
4Bruins4210001017982200000011382010001066060.750172946001681229722130109910111045849118427216637.50%16193.75%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
5Cabaret Lady Mary Ann4200000225232200000021214-222000000139460.7502547720016812297222091099101110458411938627827622.22%23769.57%11527278054.93%1214221554.81%858150956.86%2181153717465951077560
6Caroline33000000177101100000041322000000136761.000173148001681229722153109910111045849826165315213.33%8275.00%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
7Chiefs2110000010731010000034-11100000073420.500101525001681229722721099101110458461153440500.00%7185.71%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
8Chill211000008711010000025-31100000062420.500815230016812297227610991011104584441410389111.11%5180.00%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
9Comets211000001394110000008261010000057-220.500132336101681229722103109910111045845715213911436.36%7185.71%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
10Crunch412010001715220101000101002110000075240.500173148011681229722188109910111045849919437925624.00%13376.92%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
11Heat211000001082110000006331010000045-120.50010152500168122972282109910111045845519103610440.00%5260.00%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
12Jayhawks220000001064110000003121100000075241.000101828001681229722691099101110458460238347228.57%4175.00%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
13Las Vegas21000010633100000102111100000042241.0006101600168122972282109910111045844614144212433.33%70100.00%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
14Manchots3200000116971100000061521000001108250.833162945001681229722109109910111045847222325012325.00%13469.23%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
15Marlies413000001519-4211000001112-12020000047-320.2501524390016812297221311099101110458410639386617211.76%14285.71%11527278054.93%1214221554.81%858150956.86%2181153717465951077560
16Minnesota20200000511-61010000025-31010000036-300.00058130016812297226110991011104584511625484125.00%10460.00%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
17Monarchs210000101468100000105411100000092741.0001423370016812297229510991011104584622219389222.22%7357.14%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
18Monsters330000002412122200000017981100000073461.00024426600168122972297109910111045849823285718844.44%14378.57%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
19Monsters2200000012102110000006511100000065141.00012203200168122972282109910111045844313243214750.00%60100.00%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
20Oceanics210000101284110000007431000001054141.0001217290016812297226510991011104584742330299555.56%9277.78%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
21Oil Kings220000001248110000006241100000062441.0001220320016812297228610991011104584492012416233.33%6266.67%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
22Phantoms31100010111101010000035-22100001086240.66711182900168122972297109910111045849235364911218.18%17570.59%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
23Rocket4400000017116220000008532200000096381.0001732490016812297221251099101110458411635488217423.53%24483.33%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
24Senators4400000024141022000000125722000000129381.00024426600168122972213510991011104584131315175221150.00%23482.61%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
25Sharks2100000112111110000006421000000167-130.75012233500168122972210910991011104584801883712216.67%4175.00%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
26Sound Tigers3020001069-32010001056-11010000013-220.3336814001681229722100109910111045847017226210110.00%11372.73%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
27Spiders32000010171162100001010641100000075261.000172946001681229722123109910111045847521145014428.57%6183.33%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
28Stars22000000945110000003121100000063341.000916250016812297228810991011104584389143310220.00%6183.33%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
29Thunder42100010171342110000076121000010107360.7501728450016812297221281099101110458410938426514428.57%20480.00%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
Total8248160111153992921074123801153194142524125800062205150551260.76839967910781116812297223191109910111045842318683799152637910527.70%3237377.40%21527278054.93%1214221554.81%858150956.86%2181153717465951077560
31Wolf Pack32000010181442100001011921100000075261.0001828460016812297221461099101110458410742187010330.00%9455.56%01527278054.93%1214221554.81%858150956.86%2181153717465951077560
_Since Last GM Reset8248160111153992921074123801153194142524125800062205150551260.76839967910781116812297223191109910111045842318683799152637910527.70%3237377.40%21527278054.93%1214221554.81%858150956.86%2181153717465951077560
_Vs Conference3522701023170125451793010137557181813400010956827530.7571702964661116812297221479109910111045849512813486731754726.86%1322978.03%11527278054.93%1214221554.81%858150956.86%2181153717465951077560
_Vs Division162300021855530802000114022188210001045331290.2818514422910168122972269610991011104584492147131305732331.51%521276.92%01527278054.93%1214221554.81%858150956.86%2181153717465951077560

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82126L1399679107831912318683799152611
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
82481611115399292
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412381153194142
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
412580062205150
Derniers 10 Matchs
WLOTWOTL SOWSOL
710002
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
37910527.70%3237377.40%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
109910111045841681229722
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
1527278054.93%1214221554.81%858150956.86%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2181153717465951077560


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
2 - 2018-10-0410Monsters2Cougars9WSommaire du Match
5 - 2018-10-0731Cougars9Monarchs2WSommaire du Match
6 - 2018-10-0835Cougars4Admirals3WXXSommaire du Match
9 - 2018-10-1152Marlies5Cougars6WSommaire du Match
11 - 2018-10-1361Cougars4Bruins3WXXSommaire du Match
13 - 2018-10-1575Cougars5Rocket3WSommaire du Match
16 - 2018-10-1893Cougars4Thunder3WXXSommaire du Match
18 - 2018-10-20108Cougars6Cabaret Lady Mary Ann4WSommaire du Match
20 - 2018-10-22119Caroline1Cougars4WSommaire du Match
24 - 2018-10-26145Oceanics4Cougars7WSommaire du Match
26 - 2018-10-28160Stars1Cougars3WSommaire du Match
28 - 2018-10-30170Cougars7Monsters3WSommaire du Match
30 - 2018-11-01184Spiders2Cougars5WSommaire du Match
32 - 2018-11-03197Oil Kings2Cougars6WSommaire du Match
35 - 2018-11-06219Comets2Cougars8WSommaire du Match
38 - 2018-11-09238Wolf Pack4Cougars5WXXSommaire du Match
39 - 2018-11-10250Cougars5Caroline3WSommaire du Match
42 - 2018-11-13268Jayhawks1Cougars3WSommaire du Match
44 - 2018-11-15281Cougars7Senators5WSommaire du Match
46 - 2018-11-17292Cougars7Spiders5WSommaire du Match
50 - 2018-11-21324Bruins2Cougars8WSommaire du Match
52 - 2018-11-23337Cougars4Bears2WSommaire du Match
53 - 2018-11-24351Crunch4Cougars5WXSommaire du Match
55 - 2018-11-26366Monsters7Cougars8WSommaire du Match
57 - 2018-11-28377Chiefs4Cougars3LSommaire du Match
60 - 2018-12-01398Cougars2Bruins3LSommaire du Match
61 - 2018-12-02411Monsters5Cougars6WSommaire du Match
63 - 2018-12-04422Thunder4Cougars3LSommaire du Match
65 - 2018-12-06429Cougars2Marlies3LSommaire du Match
67 - 2018-12-08448Sound Tigers2Cougars3WXXSommaire du Match
69 - 2018-12-10462Monarchs4Cougars5WXXSommaire du Match
70 - 2018-12-11467Cougars4Bears3WSommaire du Match
73 - 2018-12-14490Senators3Cougars5WSommaire du Match
74 - 2018-12-15498Cougars1Sound Tigers3LSommaire du Match
77 - 2018-12-18520Cougars4Phantoms3WXXSommaire du Match
79 - 2018-12-20534Cougars8Caroline3WSommaire du Match
81 - 2018-12-22547Cabaret Lady Mary Ann7Cougars6LXXSommaire du Match
82 - 2018-12-23563Cougars2Marlies4LSommaire du Match
86 - 2018-12-27569Cougars5Manchots2WSommaire du Match
88 - 2018-12-29594Cougars6Stars3WSommaire du Match
90 - 2018-12-31606Cabaret Lady Mary Ann7Cougars6LXXSommaire du Match
92 - 2019-01-02616Heat3Cougars6WSommaire du Match
94 - 2019-01-04630Chill5Cougars2LSommaire du Match
96 - 2019-01-06649Bears1Cougars2WSommaire du Match
98 - 2019-01-08662Rocket4Cougars6WSommaire du Match
101 - 2019-01-11684Cougars5Oceanics4WXXSommaire du Match
102 - 2019-01-12693Cougars3Minnesota6LSommaire du Match
105 - 2019-01-15715Admirals5Cougars4LXSommaire du Match
108 - 2019-01-18737Cougars4Heat5LSommaire du Match
110 - 2019-01-20753Cougars5Comets7LSommaire du Match
112 - 2019-01-22764Cougars6Oil Kings2WSommaire du Match
122 - 2019-02-01786Marlies7Cougars5LSommaire du Match
123 - 2019-02-02793Cougars5Senators4WSommaire du Match
128 - 2019-02-07830Las Vegas1Cougars2WXXSommaire du Match
130 - 2019-02-09839Cougars2Crunch5LSommaire du Match
131 - 2019-02-10853Cougars5Baby Hawks4WXXSommaire du Match
133 - 2019-02-12870Cougars6Chill2WSommaire du Match
135 - 2019-02-14879Senators2Cougars7WSommaire du Match
137 - 2019-02-16892Cougars4Phantoms3WSommaire du Match
138 - 2019-02-17907Phantoms5Cougars3LSommaire du Match
141 - 2019-02-20925Baby Hawks3Cougars2LXXSommaire du Match
143 - 2019-02-22942Minnesota5Cougars2LSommaire du Match
145 - 2019-02-24958Sharks4Cougars6WSommaire du Match
147 - 2019-02-26974Rocket1Cougars2WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2019-03-021006Cougars7Jayhawks5WSommaire du Match
154 - 2019-03-051026Cougars6Monsters5WSommaire du Match
156 - 2019-03-071036Wolf Pack5Cougars6WSommaire du Match
158 - 2019-03-091052Cougars6Thunder4WSommaire du Match
159 - 2019-03-101060Cougars7Cabaret Lady Mary Ann5WSommaire du Match
161 - 2019-03-121075Cougars4Rocket3WSommaire du Match
163 - 2019-03-141087Thunder2Cougars4WSommaire du Match
165 - 2019-03-161100Sound Tigers4Cougars2LSommaire du Match
168 - 2019-03-191124Cougars7Wolf Pack5WSommaire du Match
170 - 2019-03-211140Cougars7Chiefs3WSommaire du Match
172 - 2019-03-231162Cougars4Las Vegas2WSommaire du Match
174 - 2019-03-251177Cougars6Sharks7LXXSommaire du Match
177 - 2019-03-281189Cougars5Crunch0WSommaire du Match
178 - 2019-03-291199Spiders4Cougars5WXXSommaire du Match
180 - 2019-03-311219Bruins1Cougars3WSommaire du Match
182 - 2019-04-021233Manchots1Cougars6WSommaire du Match
184 - 2019-04-041245Cougars5Manchots6LXXSommaire du Match
186 - 2019-04-061261Crunch6Cougars5LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets5020
Assistance61,59230,394
Assistance PCT75.11%74.13%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2244 - 74.79% 89,939$3,687,480$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,909,570$ 3,427,356$ 3,427,356$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
18,328$ 3,909,570$ 44 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 18,328$ 0$




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
201882481601111539929210741238011531941425241258000622051505512639967910781116812297223191109910111045842318683799152637910527.70%3237377.40%21527278054.93%1214221554.81%858150956.86%2181153717465951077560
Total Saison Régulière82481601111539929210741238011531941425241258000622051505512639967910781116812297223191109910111045842318683799152637910527.70%3237377.40%21527278054.93%1214221554.81%858150956.86%2181153717465951077560