Oilers

GP: 7 | W: 3 | L: 4
GF: 17 | GA: 20 | PP%: 12.77% | PK%: 75.76%
DG: Alain Bard | Morale : 4 | Moyenne d'Équipe : 66
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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
1Andreas Athanasiou (R)X100.006035747678878975757787766360585839730
2Timo Meier (R)X100.007041707976879178607676777158578545720
3Charles Hudon (R)X100.008349717468759075697568665369565565690
4Christian Fischer (R)X100.007641727078829478547471665371537665690
5Trevor Smith (R)X100.00632597657560686993727063648980151660
6Nic Dowd (R)X100.007335736880757767796865755866524080660
7Brendan Lemieux (R)X100.007959486780737666616368676653517865640
8Chris VandeVelde (R)X100.008644756874718663556158675980762161640
9Kerby Rychel (R)X100.005635677080505170506666665073707843630
10Josh Currie (R)X100.007735736665726065646564725165503745630
11Kiefer Sherwood (R)X100.006535746773679266606262645261514358630
12Jean-Sebastien Dea (R)X100.005535646967586169726465655651504222610
13Ville KoistinenX100.00351996374737294489395688292982542730
14Robert Hagg (R)X100.009238686681799565306863765664527251700
15Dylan DeMelo (R)X100.007435756776839066307062745864534761680
16Nate Prosser (R)X100.006740826376647370306569726688812251670
17Jordan OesterleX100.006535797071798466306964756571523764670
18Victor Mete (R)X100.005835806665759163306967645561516237630
Rayé
1Kevin Rooney (R)X100.006541716678669266745859635261514253620
2Kailer Yamamoto (R)X100.005535727159625866506363645764518219600
3Trent Frederic (R)X100.005853616681555766716262635351507919600
4Corban Knight (R)X100.005935756279686161736059675260514619600
5Maxim Mamin (R)X100.005939816974647759576059625167524819600
6Brandon Davidson (R)X100.007738887176827670306778775066555444690
7Paul Postma (R)X100.004127926976546671237262676084753519630
8Rob O'Gara (R)X100.006542785979598956315755705157534520620
9Ryan Sproul (R)X100.006443745678658260305960665162536619610
10Dante Fabbro (R)X100.005935775472735254305355555550508319550
MOYENNE D'ÉQUIPE100.00663775677570776852676668586658524365
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
1Aaron Dell (R)100.00817778788093929394757079703561820
2Christopher Gibson (R)100.00767181828299878787765176676661800
Rayé
MOYENNE D'ÉQUIPE100.0079748080819690909176617869516181
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter DeBoer77726978847070CAN513900,000$


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'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
1Andreas Athanasiou Oilers (EDM)C643732018202531916.00%614223.731235370001221046.57%20411000.9800000102
2Christian FischerOilers (EDM)RW7257-1401992411108.33%111616.67112427000091055.56%920001.2000000101
3Timo MeierOilers (EDM)RW61673100914287143.57%513823.0603310370000200022.22%942001.0100000001
4Charles Hudon Oilers (EDM)LW724631751410216139.52%114220.32123742000070037.50%844000.8400100010
5Trevor SmithOilers (EDM)LW7314-2001312253412.00%113819.720004310000100154.55%1132000.5800000100
6Ville KoistinenOilers (EDM)D6224-10051925488.00%615826.352131039000225010.00%033000.5100000000
7Nic DowdOilers (EDM)C7123-260172614657.14%013018.60000230000040049.31%14402000.4600000000
8Robert HaggOilers (EDM)D6123-140211143125.00%615425.75112439000023100.00%023000.3900000000
9Brendan LemieuxOilers (EDM)LW7022-21202189480.00%18912.7601106000030047.62%2110000.4500000000
10Chris VandeVeldeOilers (EDM)C7112-24015994711.11%18211.8001136000000051.72%5831000.4800000000
11Dylan DeMelo Oilers (EDM)D702224011134600.00%415522.16000027000116000.00%045000.2600000000
12Josh CurrieOilers (EDM)RW7011-22015124350.00%38612.3800000000080083.33%620000.2300000000
13Paul PostmaOilers (EDM)D1000-100000000.00%01717.870000300000000.00%010000.0000000000
14Jean-Sebastien DeaOilers (EDM)C7000000476120.00%0426.1000000000030041.18%1710000.0000000000
15Victor MeteOilers (EDM)D7000-155497110.00%310414.900001700007000.00%024000.0000001000
16Kailer YamamotoOilers (EDM)RW1000000000000.00%022.650000000000000.00%000000.0000000000
17Kerby RychelOilers (EDM)LW7000020836530.00%4507.2300000000000040.00%1521000.0000000000
18Rob O'GaraOilers (EDM)D1000000100000.00%21717.370000000002000.00%001000.0000000000
19Nate ProsserOilers (EDM)D70001207135550.00%614721.01000224000013000.00%053000.0000000000
20Jordan OesterleOilers (EDM)D7000-100577410.00%410414.990000700003000.00%003000.0000000000
21Maxim MaminOilers (EDM)LW1000000000000.00%000.330000000000000.00%000000.0000000000
22Kevin RooneyOilers (EDM)C1000-100220000.00%01515.430000000000000.00%001000.0000000000
23Kiefer SherwoodOilers (EDM)RW7000020856130.00%3547.840000400001000.00%310000.0000000000
Stats d'équipe Total ou en Moyenne127173148-57610217209229771097.42%57209216.48612185237300041853247.52%5054136000.4600101314
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
1Aaron DellOilers (EDM)62220.9162.76369001720376010.000061010
2Christopher GibsonOilers (EDM)11000.9232.0060002268000.000016000
Stats d'équipe Total ou en Moyenne73220.9172.66429001922984010.000077010


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
Aaron DellOilers (EDM)G311989-05-04 12:41:41Yes205 Lbs6 ft0NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
Andreas Athanasiou Oilers (EDM)C251994-08-06 05:09:35Yes188 Lbs6 ft2NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
Brandon DavidsonOilers (EDM)D281991-08-21 23:11:13Yes208 Lbs6 ft2NoNoNo2Pro & Farm1,200,000$0$0$No1,200,000$
Brendan LemieuxOilers (EDM)LW241996-03-15 14:23:45Yes215 Lbs6 ft1NoNoNo2Pro & Farm1,139,169$0$0$No1,139,169$
Charles Hudon Oilers (EDM)LW251994-06-22 05:11:43Yes188 Lbs5 ft10NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
Chris VandeVeldeOilers (EDM)C331987-03-15 23:11:13Yes195 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$
Christian FischerOilers (EDM)RW231997-04-15 09:00:37Yes214 Lbs6 ft2NoNoNo1Pro & Farm821,666$0$0$No
Christopher GibsonOilers (EDM)G271992-12-27 05:11:14Yes207 Lbs6 ft2NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$
Corban Knight Oilers (EDM)C291990-09-10 06:35:33Yes195 Lbs6 ft2NoNoNo2Pro & Farm575,000$0$0$No575,000$
Dante FabbroOilers (EDM)D211998-06-20 11:37:54Yes189 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Dylan DeMelo Oilers (EDM)D271993-05-01 05:12:57Yes195 Lbs6 ft1NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Jean-Sebastien DeaOilers (EDM)C261994-02-08 11:22:21Yes175 Lbs5 ft11NoNoNo2Pro & Farm650,000$0$0$No650,000$
Jordan OesterleOilers (EDM)D271992-06-25 06:39:21No182 Lbs6 ft0NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Josh CurrieOilers (EDM)RW271992-10-29 08:46:08Yes172 Lbs5 ft10NoNoNo3Pro & Farm687,500$0$0$No687,500$687,500$
Kailer YamamotoOilers (EDM)RW211998-09-29 14:20:42Yes153 Lbs5 ft8NoNoNo2Pro & Farm1,155,000$0$0$No1,155,000$
Kerby RychelOilers (EDM)LW251994-10-07 17:11:13Yes213 Lbs6 ft1NoNoNo2Pro & Farm575,000$0$0$No575,000$
Kevin RooneyOilers (EDM)C271993-05-21 04:57:57Yes190 Lbs6 ft2NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Kiefer SherwoodOilers (EDM)RW251995-03-31 05:04:59Yes194 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Maxim MaminOilers (EDM)LW251995-01-13 04:51:05Yes191 Lbs6 ft2NoNoNo2Pro & Farm757,500$0$0$No757,500$
Nate ProsserOilers (EDM)D341986-05-07 17:11:13Yes201 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Nic DowdOilers (EDM)C301990-05-27 13:20:12Yes197 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$No
Paul PostmaOilers (EDM)D311989-02-22 11:11:13Yes195 Lbs6 ft3NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Rob O'GaraOilers (EDM)D261993-07-06 04:09:48Yes215 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$No
Robert HaggOilers (EDM)D251995-02-08 09:02:27Yes207 Lbs6 ft2NoNoNo1Pro & Farm894,167$0$0$No
Ryan SproulOilers (EDM)D271993-01-13 09:04:01Yes205 Lbs6 ft4NoNoNo1Pro & Farm625,000$0$0$No
Timo MeierOilers (EDM)RW231996-10-08 09:05:47Yes210 Lbs6 ft0NoNoNo1Pro & Farm894,167$0$0$No
Trent FredericOilers (EDM)C221998-02-11 11:40:05Yes203 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Trevor SmithOilers (EDM)LW351985-02-08 11:11:13Yes201 Lbs6 ft1NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Victor MeteOilers (EDM)D221998-06-07 14:19:19Yes183 Lbs5 ft9NoNoNo2Pro & Farm870,000$0$0$No870,000$
Ville KoistinenOilers (EDM)D371982-06-17 17:11:13No201 Lbs5 ft11NoNoNo3Pro & Farm1,850,000$0$0$No1,850,000$1,850,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3026.93196 Lbs6 ft12.23932,306$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Charles Hudon Andreas Athanasiou Timo Meier35122
2Trevor SmithNic DowdChristian Fischer35122
3Brendan LemieuxChris VandeVeldeJosh Currie25122
4Kerby RychelJean-Sebastien DeaKiefer Sherwood5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ville KoistinenRobert Hagg35122
2Dylan DeMelo Nate Prosser35122
3Jordan OesterleVictor Mete30122
4Ville KoistinenRobert Hagg0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Charles Hudon Andreas Athanasiou Timo Meier60122
2Trevor SmithNic DowdChristian Fischer40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ville KoistinenRobert Hagg60122
2Dylan DeMelo Nate Prosser40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Andreas Athanasiou Timo Meier60122
2Christian FischerCharles Hudon 40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ville KoistinenRobert Hagg60122
2Dylan DeMelo Nate Prosser40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Andreas Athanasiou 60122Ville KoistinenRobert Hagg60122
2Timo Meier40122Dylan DeMelo Nate Prosser40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Andreas Athanasiou Timo Meier60122
2Christian FischerCharles Hudon 40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ville KoistinenRobert Hagg60122
2Dylan DeMelo Nate Prosser40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Charles Hudon Andreas Athanasiou Timo MeierVille KoistinenRobert Hagg
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Charles Hudon Andreas Athanasiou Timo MeierVille KoistinenRobert Hagg
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brendan Lemieux, Chris VandeVelde, Josh CurrieBrendan Lemieux, Chris VandeVeldeJosh Currie
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jordan Oesterle, Victor Mete, Dylan DeMelo Jordan OesterleVictor Mete, Dylan DeMelo
Tirs de Pénalité
Andreas Athanasiou , Timo Meier, Christian Fischer, Charles Hudon , Nic Dowd
Gardien
#1 : Aaron Dell, #2 : Christopher Gibson


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
1Kings734000001720-333000000116540400000614-860.4291731481064702297261915230577621747612.77%33875.76%08620342.36%10620950.72%489351.61%149831576912260
Total734000001720-333000000116540400000614-860.4291731481064702297261915230577621747612.77%33875.76%08620342.36%10620950.72%489351.61%149831576912260
_Since Last GM Reset734000001720-333000000116540400000614-860.4291731481064702297261915230577621747612.77%33875.76%08620342.36%10620950.72%489351.61%149831576912260
_Vs Conference734000001720-333000000116540400000614-860.4291731481064702297261915230577621747612.77%33875.76%08620342.36%10620950.72%489351.61%149831576912260
_Vs Division734000001720-333000000116540400000614-860.4291731481064702297261915230577621747612.77%33875.76%08620342.36%10620950.72%489351.61%149831576912260

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
76L1173148229230577621710
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
73400001720
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3300000116
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4040000614
Derniers 10 Matchs
WLOTWOTL SOWSOL
320200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
47612.77%33875.76%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
72619156470
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
8620342.36%10620950.72%489351.61%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
149831576912260


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 - 2019-10-077Oilers1Kings2LXR5Sommaire du Match
4 - 2019-10-0915Oilers2Kings3LXSommaire du Match
6 - 2019-10-1123Kings2Oilers3WR5Sommaire du Match
8 - 2019-10-1331Kings2Oilers4WSommaire du Match
10 - 2019-10-1539Oilers3Kings5LR5Sommaire du Match
12 - 2019-10-1747Kings2Oilers4WSommaire du Match
14 - 2019-10-1955Oilers0Kings4LR5Sommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4525
Assistance4,7273,000
Assistance PCT78.78%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 2576 - 85.86% 105,495$316,485$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,796,918$ 1,531,918$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 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
14734000001720-333000000116540400000614-861731481064702297261915230577621747612.77%33875.76%08620342.36%10620950.72%489351.61%149831576912260
Total Séries734000001720-333000000116540400000614-861731481064702297261915230577621747612.77%33875.76%08620342.36%10620950.72%489351.61%149831576912260