Oil Kings

GP: 79 | W: 42 | L: 32 | OTL: 5 | P: 89
GF: 310 | GA: 274 | PP%: 19.75% | PK%: 78.06%
DG: Stephane Cournoyer | Morale : 50 | Moyenne d'Équipe : 55
Prochain matchs #1221 vs Admirals
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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
1Michael ChaputXX100.00797085737572786271556073616060050630271700,000$
2Christian FischerX100.00874590807960816031566065256363050620221818,000$
3Scott WilsonX100.00756686736659586245575868585859050600273800,000$
4Adam JohnsonXX100.00726491626477816379645863554545050600252925,000$
5Par LindholmXX100.00674296646758705672585882255758050600284700,000$
6Vladislav KamenevXXX100.00734689807253566256625666255151050600232900,000$
7Nikita JevpalovsXX100.00807786657773785750535665534444050590251825,000$
8Rem Pitlick (R)XX100.00747082657066686075536263594444050580222700,000$
9Ryan HaggertyX100.00767382637371765350485665534444050570261825,000$
10Sean MaloneX100.00746988647064645670545463554444050570241925,000$
11Kole SherwoodX100.00727466657466705350435960564444050550222693,333$
12Connor CliftonX100.00905086646466705625394672454849050600243750,000$
13Joel Persson (R)X100.00654194766367666225514761254545050590254500,001$
14Jordan GrossX100.00756891666872775625465263494444050590242825,000$
15Ashton SautnerX100.007669826472646751254040653756560505802541,000,000$
16Parker WotherspoonX100.00676469636274835025464059394444050560221650,000$
17William BorgenX100.00697066617076844625373957374444050560222650,000$
Rayé
1Ryan KuffnerX100.00797197607158595450475664534444050550233925,000$
2Ty LewisX100.00756794586754564750444460424444050510212716,666$
3Victor EjdsellXX100.00473593587547313335343254463532050430242742,500$
4Brad Morrison (R)X100.00344040405033333440343440373230050360221650,000$
5Libor Sulak (R)X100.00513572616853333035293177473532050510253833,750$
6Garret Cockerill (R)X100.00414545456639394145414145433230050420252825,000$
MOYENNE D'ÉQUIPE100.0069598164696264524647506345464605056
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
1Marcus Hogberg100.0064717187706058656466754646050640
2Jonas Johansson100.0061607284636562666461304444050620
Rayé
1Adam Huska100.0049516488484950544949304444050530
2Ukko-Pekka Luukkonen (R)100.0048627882434850544647304444050530
3Stephen Michalek (R)100.0033373573333232323232313230050370
MOYENNE D'ÉQUIPE100.005156648351515054515139424205054
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Weight57809199667077USA481500,000$


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
1Michael ChaputOil Kings (Edm)C/LW79555310829351514030344312927812.42%40179322.70814227620402282217158.85%274600141.2034021983
2Christian FischerOil Kings (Edm)RW7932528426440170168405952687.90%23174022.03610166820211281952236.75%16600000.9714000544
3Par LindholmOil Kings (Edm)C/LW6841398016803222734610722711.85%37121817.91461041990002666257.36%149400011.3100000453
4Vladislav KamenevOil Kings (Edm)C/LW/RW7935458028200772153179124311.04%25153419.43105153619101111122351.51%115700021.0412000426
5Adam JohnsonOil Kings (Edm)C/LW792155761824083134297982477.07%13144518.2941115542000001235059.06%12700001.0522000234
6Nikita JevpalovsOil Kings (Edm)LW/RW76293665228420178872767719810.51%21134917.76771452187000013351.72%8700000.9600112253
7Brendan LemieuxEdmontonLW/RW532434581284102461342285915910.53%22121622.961783013511221473136.82%44000110.9515101864
8Joel PerssonOil Kings (Edm)D797445112140729014845784.73%103172921.892911681971013177100.00%000100.5900000212
9Connor CliftonOil Kings (Edm)D751131422274025369122461019.02%120173423.132911331911342163400.00%000000.4800000314
10Kole SherwoodOil Kings (Edm)RW79162440-1245517071193591218.29%50100912.7800003000001056.41%3900000.7901001051
11Jordan GrossOil Kings (Edm)D50831398400102379727498.25%8399419.884592369000496010.00%000000.7800000133
12Scott WilsonOil Kings (Edm)LW4983139-512050100185561534.32%2392118.8115619901011631048.60%10700000.8533000004
13Ryan HaggertyOil Kings (Edm)RW791523382360120129265621945.66%28107813.65000712000061248.60%10700000.7011000201
14Parker WotherspoonOil Kings (Edm)D795253021680202597628546.58%122143318.1413416970000103110.00%000000.4200000103
15Tucker PoolmanEdmontonD3922830018043537327662.74%5892923.841673598000496000.00%000000.6500000004
16Victor EjdsellOil Kings (Edm)C/LW759514-180044260173615.00%166378.5000004000082136.16%53100000.4400000001
17Ashton SautnerOil Kings (Edm)D49112135360115323417472.94%75103321.10112101170111108100.00%000000.2500000002
Stats d'équipe Total ou en Moyenne116631956888718664250205719503565104025198.95%8592180018.70529815056821015914371593401753.28%700100380.811222235434352
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
1Marcus HogbergOil Kings (Edm)54302030.9073.3231428017418660010.6676540251
2Ukko-Pekka LuukkonenOil Kings (Edm)2511820.9033.62131000798160010.583122162000
Stats d'équipe Total ou en Moyenne79412850.9063.4144538025326820020.611187562251


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
Adam HuskaOil Kings (Edm)G221997-05-12No220 Lbs6 ft4NoNoNo2Pro & Farm525,000$22,580$52,500$2,258$No525,000$Lien
Adam JohnsonOil Kings (Edm)C/LW251994-06-22No174 Lbs6 ft0NoNoNo2Pro & Farm925,000$39,784$92,500$3,978$No925,000$Lien
Ashton SautnerOil Kings (Edm)D251994-05-27No195 Lbs6 ft1NoNoNo4Pro & Farm1,000,000$43,010$100,000$4,301$No1,000,000$1,000,000$1,000,000$Lien
Brad MorrisonOil Kings (Edm)C221997-01-04Yes170 Lbs6 ft0NoNoNo1Pro & Farm650,000$27,956$65,000$2,796$NoLien
Christian FischerOil Kings (Edm)RW221997-04-15No215 Lbs6 ft2NoNoNo1Pro & Farm818,000$35,182$81,800$3,518$NoLien
Connor CliftonOil Kings (Edm)D241995-04-28No175 Lbs5 ft11NoNoNo3Pro & Farm750,000$32,258$75,000$3,226$No750,000$750,000$Lien
Garret CockerillOil Kings (Edm)D251994-02-19Yes203 Lbs6 ft0NoNoNo2Pro & Farm825,000$35,483$82,500$3,548$No825,000$Lien
Joel PerssonOil Kings (Edm)D251994-03-04Yes170 Lbs5 ft11NoNoNo4Pro & Farm500,001$21,505$50,000$2,151$No500,001$500,001$500,001$Lien
Jonas JohanssonOil Kings (Edm)G241995-09-18No206 Lbs6 ft4NoNoNo2Pro & Farm800,000$34,408$80,000$3,441$No800,000$Lien
Jordan GrossOil Kings (Edm)D241995-05-09No190 Lbs5 ft10NoNoNo2Pro & Farm825,000$35,483$82,500$3,548$No825,000$Lien
Kole SherwoodOil Kings (Edm)RW221997-01-22No201 Lbs6 ft1NoNoNo2Pro & Farm693,333$29,820$69,333$2,982$No693,333$Lien
Libor SulakOil Kings (Edm)D251994-03-04Yes207 Lbs6 ft2NoNoNo3Pro & Farm833,750$35,860$83,375$3,586$No833,750$833,750$Lien
Marcus HogbergOil Kings (Edm)G241994-11-24No209 Lbs6 ft5NoNoNo3Pro & Farm825,000$35,483$82,500$3,548$No825,000$825,000$Lien
Michael ChaputOil Kings (Edm)C/LW271992-04-08No204 Lbs6 ft2NoNoNo1Pro & Farm700,000$30,107$70,000$3,011$NoLien
Nikita JevpalovsOil Kings (Edm)LW/RW251994-09-08No210 Lbs6 ft1NoNoNo1Pro & Farm825,000$35,483$82,500$3,548$NoLien
Par LindholmOil Kings (Edm)C/LW281991-10-04No187 Lbs5 ft11NoNoNo4Pro & Farm700,000$30,107$70,000$3,011$No700,000$700,000$700,000$Lien
Parker WotherspoonOil Kings (Edm)D221997-08-24No168 Lbs6 ft0NoNoNo1Pro & Farm650,000$27,956$65,000$2,796$NoLien
Rem PitlickOil Kings (Edm)C/LW221997-04-01Yes196 Lbs5 ft11NoNoNo2Pro & Farm700,000$30,107$70,000$3,011$No700,000$Lien
Ryan HaggertyOil Kings (Edm)RW261993-03-04No201 Lbs6 ft0NoNoNo1Pro & Farm825,000$35,483$82,500$3,548$NoLien
Ryan KuffnerOil Kings (Edm)LW231996-06-11No194 Lbs6 ft1NoNoNo3Pro & Farm925,000$39,784$92,500$3,978$No925,000$925,000$Lien
Scott WilsonOil Kings (Edm)LW271992-04-24No183 Lbs5 ft11NoNoNo3Pro & Farm800,000$34,408$80,000$3,441$No800,000$800,000$Lien
Sean MaloneOil Kings (Edm)C241995-04-30No190 Lbs6 ft0NoNoNo1Pro & Farm925,000$39,784$92,500$3,978$NoLien
Stephen MichalekOil Kings (Edm)G261993-08-06Yes196 Lbs6 ft2NoNoNo1Pro & Farm525,000$22,580$52,500$2,258$NoLien
Ty LewisOil Kings (Edm)LW211998-03-05No187 Lbs5 ft11NoNoNo2Pro & Farm716,666$30,824$71,667$3,082$No716,666$Lien
Ukko-Pekka LuukkonenOil Kings (Edm)G201999-03-09Yes196 Lbs6 ft4NoNoNo3Pro & Farm778,333$33,476$77,833$3,348$No778,333$778,333$Lien
Victor EjdsellOil Kings (Edm)C/LW241995-06-06No214 Lbs6 ft5NoNoNo2Pro & Farm742,500$31,935$74,250$3,194$No742,500$Lien
Vladislav KamenevOil Kings (Edm)C/LW/RW231996-08-12No194 Lbs6 ft2NoNoNo2Pro & Farm900,000$38,709$90,000$3,871$No900,000$Lien
William BorgenOil Kings (Edm)D221996-12-19No187 Lbs6 ft2NoNoNo2Pro & Farm650,000$27,956$65,000$2,796$No650,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2823.89194 Lbs6 ft12.14761,878$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Vladislav KamenevMichael ChaputChristian Fischer40122
2Adam JohnsonPar Lindholm30122
3Kole SherwoodRyan Haggerty20122
4Christian FischerMichael ChaputKole Sherwood10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joel Persson40122
2Parker Wotherspoon30122
320122
4Joel Persson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Vladislav KamenevMichael ChaputChristian Fischer60122
2Adam JohnsonPar Lindholm40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joel Persson60122
2Parker Wotherspoon40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Michael ChaputChristian Fischer60122
2Vladislav KamenevPar Lindholm40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joel Persson60122
2Parker Wotherspoon40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Michael Chaput60122Joel Persson60122
2Christian Fischer40122Parker Wotherspoon40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Michael ChaputChristian Fischer60122
2Vladislav KamenevPar Lindholm40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Joel Persson60122
2Parker Wotherspoon40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Vladislav KamenevMichael ChaputChristian FischerJoel Persson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Vladislav KamenevMichael ChaputChristian FischerJoel Persson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Haggerty, , Adam JohnsonRyan Haggerty, Adam Johnson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Parker Wotherspoon, , Joel PerssonParker Wotherspoon, Joel Persson
Tirs de Pénalité
Michael Chaput, Christian Fischer, Vladislav Kamenev, Par Lindholm, Adam Johnson
Gardien
#1 : , #2 :


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
1Admirals312000001114-31010000015-421100000109120.333111930001081039412122113611431168441262513697114.29%3166.67%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
2Baby Hawks30300000913-41010000035-22020000068-200.000918270010810394121051136114311684414534288411218.18%14285.71%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
3Bears2020000036-31010000002-21010000034-100.000358001081039412751136114311684474172545900.00%10280.00%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
4Bruins21100000770110000006421010000013-220.500710170010810394129511361143116844681525488337.50%9455.56%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
5Cabaret Lady Mary Ann220000001385110000006421100000074341.000132437001081039412137113611431168447120856200.00%40100.00%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
6Caroline210001001073110000006241000010045-130.7501019290010810394128711361143116844912920406350.00%9366.67%11674310953.84%1505279853.79%742138553.57%1990140517745611015520
7Chiefs3110001013103201000109901100000041340.667132235001081039412111113611431168449336236713323.08%8187.50%11674310953.84%1505279853.79%742138553.57%1990140517745611015520
8Chill31200000131302110000010911010000034-120.333132235001081039412152113611431168441213720608225.00%9277.78%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
9Comets41100020171342100001010642010001077060.7501727440010810394121391136114311684413453288711327.27%13192.31%11674310953.84%1505279853.79%742138553.57%1990140517745611015520
10Cougars2020000028-61010000014-31010000014-300.000235001081039412501136114311684458251266500.00%6266.67%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
11Crunch2010010047-31010000002-21000010045-110.250471100108103941210411361143116844782918447114.29%8187.50%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
12Heat4400000026818220000001541122000000114781.0002647730010810394122361136114311684410831378915320.00%11190.91%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
13Jayhawks4300100017116220000008532100100096381.00017345100108103941216711361143116844144362610210330.00%11281.82%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
14Las Vegas321000001284110000005232110000076140.6671222340010810394121411136114311684495368691317.69%4175.00%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
15Manchots20100100811-31000010045-11010000046-210.25081321001081039412701136114311684471198495120.00%3233.33%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
16Marlies21100000770110000005411010000023-120.500711180010810394126611361143116844661719338112.50%7185.71%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
17Minnesota33000000191271100000063322000000139461.00019375600108103941220011361143116844118312192500.00%7528.57%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
18Monarchs42100010171252100001010462110000078-160.7501730470010810394122051136114311684416938339213215.38%11372.73%11674310953.84%1505279853.79%742138553.57%1990140517745611015520
19Monsters2020000026-41010000023-11010000003-300.0002240010810394127511361143116844823312266116.67%6266.67%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
20Monsters312000001212020200000710-31100000052320.333122234001081039412115113611431168441043315718337.50%5180.00%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
21Oceanics30300000815-720200000710-31010000015-400.0008132100108103941212511361143116844143433177800.00%13376.92%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
22Phantoms21000100761110000004221000010034-130.750714210010810394127311361143116844932822588450.00%9188.89%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
23Rocket21100000761110000004131010000035-220.50071219001081039412851136114311684476156486116.67%30100.00%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
24Senators211000007701010000023-11100000054120.500714210010810394128011361143116844812318578225.00%9455.56%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
25Sharks421001001012-22110000046-22100010066050.625101929001081039412162113611431168441214124751218.33%11372.73%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
26Sound Tigers22000000963110000005411100000042241.000915240010810394129211361143116844631316393133.33%80100.00%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
27Spiders21100000972110000007341010000024-220.500915240010810394127411361143116844702412582150.00%6183.33%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
28Stars312000001012-21010000035-22110000077020.33310192920108103941213111361143116844113292460800.00%11281.82%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
29Thunder22000000954110000005231100000043141.0009152400108103941210111361143116844622010607342.86%5180.00%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
Total79373201540310274363920150013016212933401717014101481453890.563310550860201081039412347311361143116844289585057018722384719.75%2375278.06%41674310953.84%1505279853.79%742138553.57%1990140517745611015520
30Wolf Pack220000001257110000007161100000054141.000122032001081039412981136114311684457208516116.67%40100.00%01674310953.84%1505279853.79%742138553.57%1990140517745611015520
_Since Last GM Reset79373201540310274363920150013016212933401717014101481453890.563310550860201081039412347311361143116844289585057018722384719.75%2375278.06%41674310953.84%1505279853.79%742138553.57%1990140517745611015520
_Vs Conference402014012301711353619107000208362212110701210887315500.62517131348420108103941218081136114311684414284372749751202319.17%1142280.70%31674310953.84%1505279853.79%742138553.57%1990140517745611015520

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7989L331055086034732895850570187220
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7937321540310274
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3920150130162129
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4017171410148145
Derniers 10 Matchs
WLOTWOTL SOWSOL
450100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2384719.75%2375278.06%4
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
113611431168441081039412
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
1674310953.84%1505279853.79%742138553.57%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1990140517745611015520


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
1 - 2020-10-223Comets2Oil Kings5WSommaire du Match
4 - 2020-10-2530Monarchs1Oil Kings6WSommaire du Match
7 - 2020-10-2837Oil Kings4Sound Tigers2WSommaire du Match
9 - 2020-10-3049Oil Kings2Spiders4LSommaire du Match
11 - 2020-11-0161Oil Kings5Wolf Pack4WSommaire du Match
13 - 2020-11-0384Oil Kings2Baby Hawks3LSommaire du Match
15 - 2020-11-0595Phantoms2Oil Kings4WSommaire du Match
17 - 2020-11-07111Cougars4Oil Kings1LSommaire du Match
19 - 2020-11-09127Oil Kings1Oceanics5LSommaire du Match
21 - 2020-11-11139Oil Kings7Minnesota5WSommaire du Match
23 - 2020-11-13154Bears2Oil Kings0LSommaire du Match
26 - 2020-11-16170Cabaret Lady Mary Ann4Oil Kings6WSommaire du Match
28 - 2020-11-18184Oil Kings1Cougars4LSommaire du Match
29 - 2020-11-19189Oil Kings0Monsters3LSommaire du Match
32 - 2020-11-22204Oil Kings4Manchots6LSommaire du Match
34 - 2020-11-24223Jayhawks2Oil Kings3WSommaire du Match
36 - 2020-11-26236Chiefs4Oil Kings5WXXSommaire du Match
38 - 2020-11-28251Spiders3Oil Kings7WSommaire du Match
40 - 2020-11-30269Oil Kings6Admirals4WSommaire du Match
42 - 2020-12-02280Oil Kings4Sharks3WSommaire du Match
44 - 2020-12-04290Monsters5Oil Kings3LSommaire du Match
46 - 2020-12-06300Stars5Oil Kings3LSommaire du Match
49 - 2020-12-09330Oil Kings2Sharks3LXSommaire du Match
51 - 2020-12-11345Oil Kings4Monarchs7LSommaire du Match
53 - 2020-12-13360Oil Kings4Las Vegas1WSommaire du Match
54 - 2020-12-14364Oil Kings5Jayhawks3WSommaire du Match
57 - 2020-12-17387Oil Kings5Monsters2WSommaire du Match
60 - 2020-12-20415Comets4Oil Kings5WXXSommaire du Match
61 - 2020-12-21418Oil Kings2Comets1WXXSommaire du Match
64 - 2020-12-24436Senators3Oil Kings2LSommaire du Match
66 - 2020-12-26450Monarchs3Oil Kings4WXXSommaire du Match
68 - 2020-12-28467Crunch2Oil Kings0LSommaire du Match
70 - 2020-12-30479Caroline2Oil Kings6WSommaire du Match
72 - 2021-01-01493Oil Kings6Minnesota4WSommaire du Match
74 - 2021-01-03506Marlies4Oil Kings5WSommaire du Match
76 - 2021-01-05523Oil Kings2Stars4LSommaire du Match
78 - 2021-01-07537Oil Kings4Chiefs1WSommaire du Match
80 - 2021-01-09551Manchots5Oil Kings4LXSommaire du Match
81 - 2021-01-10555Rocket1Oil Kings4WSommaire du Match
83 - 2021-01-12579Oil Kings5Comets6LSommaire du Match
87 - 2021-01-16590Heat2Oil Kings7WSommaire du Match
91 - 2021-01-20624Wolf Pack1Oil Kings7WSommaire du Match
93 - 2021-01-22628Oil Kings4Crunch5LXSommaire du Match
95 - 2021-01-24641Oil Kings1Bruins3LSommaire du Match
97 - 2021-01-26659Oil Kings2Marlies3LSommaire du Match
100 - 2021-01-29679Oil Kings3Rocket5LSommaire du Match
102 - 2021-01-31701Oil Kings4Heat1WSommaire du Match
105 - 2021-02-03723Chill4Oil Kings6WSommaire du Match
109 - 2021-02-07745Jayhawks3Oil Kings5WSommaire du Match
120 - 2021-02-18780Heat2Oil Kings8WSommaire du Match
122 - 2021-02-20790Chiefs5Oil Kings4LSommaire du Match
123 - 2021-02-21803Oil Kings7Heat3WSommaire du Match
126 - 2021-02-24824Oil Kings4Jayhawks3WXSommaire du Match
128 - 2021-02-26837Sharks2Oil Kings3WSommaire du Match
130 - 2021-02-28845Chill5Oil Kings4LSommaire du Match
133 - 2021-03-03875Baby Hawks5Oil Kings3LSommaire du Match
135 - 2021-03-05882Oil Kings4Thunder3WSommaire du Match
137 - 2021-03-07898Oil Kings7Cabaret Lady Mary Ann4WSommaire du Match
138 - 2021-03-08908Oil Kings4Caroline5LXSommaire du Match
141 - 2021-03-11928Bruins4Oil Kings6WSommaire du Match
143 - 2021-03-13946Minnesota3Oil Kings6WSommaire du Match
145 - 2021-03-15966Oil Kings3Monarchs1WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
147 - 2021-03-17980Oil Kings4Admirals5LSommaire du Match
148 - 2021-03-18982Oil Kings3Las Vegas5LSommaire du Match
151 - 2021-03-211009Oceanics5Oil Kings3LSommaire du Match
153 - 2021-03-231018Oil Kings3Chill4LSommaire du Match
154 - 2021-03-241026Oil Kings5Stars3WSommaire du Match
156 - 2021-03-261040Oil Kings4Baby Hawks5LSommaire du Match
158 - 2021-03-281058Monsters3Oil Kings2LSommaire du Match
160 - 2021-03-301068Las Vegas2Oil Kings5WSommaire du Match
162 - 2021-04-011080Oceanics5Oil Kings4LSommaire du Match
164 - 2021-04-031097Sound Tigers4Oil Kings5WSommaire du Match
166 - 2021-04-051109Oil Kings3Phantoms4LXSommaire du Match
167 - 2021-04-061120Oil Kings3Bears4LSommaire du Match
169 - 2021-04-081132Oil Kings5Senators4WSommaire du Match
171 - 2021-04-101150Thunder2Oil Kings5WSommaire du Match
174 - 2021-04-131174Admirals5Oil Kings1LSommaire du Match
176 - 2021-04-151188Monsters5Oil Kings4LSommaire du Match
178 - 2021-04-171203Sharks4Oil Kings1LSommaire du Match
180 - 2021-04-191221Admirals-Oil Kings-
182 - 2021-04-211237Las Vegas-Oil Kings-
186 - 2021-04-251269Oil Kings-Heat-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets125
Assistance78,00039,000
Assistance PCT100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
2 3000 - 100.00% 29,000$1,131,000$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,185,023$ 2,133,258$ 2,133,258$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
11,469$ 2,188,791$ 28 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
58,000$ 8 11,469$ 91,752$




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