Oilers

GP: 5 | W: 1 | L: 4 | OTL: 0 | P: 2
GF: 8 | GA: 12 | PP%: 7.69% | PK%: 68.75%
DG: Alain Bard | Morale : 35 | Moyenne d'Équipe : 65
Prochain matchs vs Blackhawks
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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
1Luke GlendeningX100.008741847268818198996367936876722553740
2Nikolaj Ehlers (R)X100.005035918969848384678382697256569583740
3Tomas Jurco (R)X100.007048627976697284608777677076726681730
4James SheppardX100.009561636078767881756967716495874980700
5Andreas Athanasiou (R)X100.005242788773696972646575647562537983670
6Chris VandeVelde (R)X100.008240797073728664576259725974702382660
7Stefan Matteau (R)X100.008068646564506274556964666271685277640
8Kerby Rychel (R)X100.006961696763486865596961646068655559620
9Nick Cousins (R)X100.006339717563506963796069596669667174620
10Nic Dowd (R)X100.006442777274626664756557575866504780610
11Charles Hudon (R)X100.005237687464646563665760595958467983600
12Dan SextonX100.003315997069454861265765446699916381590
13Corban Knight (R)X100.005236746760476361806260635047474880580
14Christian Fischer (R)X100.005035797378464161305458655852499582580
15Timo Meier (R)X100.006540787572475058325256615754519580580
16Max Friberg (R)X100.007367816760616452715248595046464882560
17Brandon Davidson (R)X100.007942887677827672256257805064535577710
18Ville KoistinenX100.00465996375747288488789628287932883710
19Brad Hunt (R)X100.006964907471848381257756685570634880700
20Nate Prosser (R)X100.007284746976577758255455845578714666680
21Jordan Oesterle (R)X100.006037947071848177256155715162616380670
22Dylan DeMelo (R)X100.006438736973597969255253725069697135650
Rayé
1Paul Postma (R)X100.005440796876576670257161666078693919640
2Andrew BodnarchukX100.005337737061576866255252645073715819610
3Robert Hagg (R)X100.005335776176714549304246774856398719580
4Rob O'Gara (R)X100.005035786081474047304244744760497120560
5Ryan Sproul (R)X100.005235796582454554305146585060497120550
MOYENNE D'ÉQUIPE100.00634379717163676848626167596862606564
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
1Jeff Zatkoff (R)100.00728575757487878989798491812883800
2Aaron Dell (R)100.00785868657987868788716468563983740
Rayé
MOYENNE D'ÉQUIPE100.0075727270778787888975748069348377
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gerard Gallant84887885856681CAN533600,000$


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
1Nikolaj Ehlers Oilers (EDM)LW515610036236174.35%510621.240111120000140050.00%1210001.1300000000
2Jordan OesterleOilers (EDM)D51562006452620.00%39118.380000400004010.00%003001.3100000000
3Tomas JurcoOilers (EDM)RW53141601491710817.65%19418.90101112000030057.14%720000.8500000001
4Luke GlendeningOilers (EDM)C522414081384425.00%610420.950110120000131054.48%13403000.7600000100
5Stefan MatteauOilers (EDM)LW5033-3195538070.00%18717.4900009000010050.00%402000.6900100000
6Andreas Athanasiou Oilers (EDM)RW5123-34069255174.00%39118.23000010000000050.00%461000.6600000000
7James SheppardOilers (EDM)C5213-32015111581213.33%09519.1300039000040059.63%10914000.6300000000
8Dan SextonOilers (EDM)RW5022-1000212460.00%0367.300000000000000.00%010001.1000000000
9Kerby RychelOilers (EDM)RW5011-2007416330.00%26112.2900000000000033.33%310000.3300000000
10Nic DowdOilers (EDM)C5101-1004441325.00%1387.7200000000020041.18%1701000.5200000000
11Nick CousinsOilers (EDM)LW5101-24087123128.33%36513.0000000000030075.00%401000.3100000000
12Brandon DavidsonOilers (EDM)D5101-10051183212.50%912725.45000114000013000.00%033000.1600000010
13Nate ProsserOilers (EDM)D5011-520775240.00%67815.730000400003000.00%005000.2500000000
14Brad HuntOilers (EDM)D5011-6006108750.00%411222.490001800018000.00%025000.1800000000
15Charles Hudon Oilers (EDM)LW5101-10032113100.00%1367.300000000000000.00%000000.5500000000
16Dylan DeMelo Oilers (EDM)D4011-1403124010.00%26215.630000000001000.00%011000.3200000000
17Ville KoistinenOilers (EDM)D501100011420650.00%612124.38000314000014000.00%030000.1600000000
18Paul PostmaOilers (EDM)D1000100230000.00%21818.570000000000000.00%000000.0000000000
19Chris VandeVeldeOilers (EDM)C5000-20071210330.00%16012.0700000000000050.00%4800000.0000000000
20Corban Knight Oilers (EDM)C5000000000000.00%061.340000000002000.00%200000.0000000000
21Christian FischerOilers (EDM)RW5000000100000.00%120.560000100000000.00%000000.0000000000
22Timo MeierOilers (EDM)RW5000000011010.00%091.890000000001000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne105142640-25455111144202681196.93%57151014.38123101160001931154.20%3452129000.5300100111
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)21000.8963.751120076724000.000014000
2Jeff ZatkoffOilers (EDM)40400.8684.95194201612159000.000041000
Stats d'équipe Total ou en Moyenne61400.8784.51306202318883000.000055000


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 CONT StatusType Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Aaron DellOilers (EDM)LW291989-05-04 12:41:41Yes205 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm625,000$625,000$
Andreas Athanasiou Oilers (EDM)RW231994-08-05 05:09:35Yes192 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm902,000$902,000$
Andrew BodnarchukOilers (EDM)D281989-08-03 05:11:13No182 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm575,000$575,000$
Brad HuntOilers (EDM)D281989-08-03 05:11:13Yes189 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm575,000$
Brandon DavidsonOilers (EDM)D251992-08-02 23:11:13Yes203 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm615,000$
Charles Hudon Oilers (EDM)LW231994-06-22 05:11:43Yes178 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm725,000$725,000$
Chris VandeVeldeOilers (EDM)C291988-08-02 23:11:13Yes194 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm600,000$
Christian FischerOilers (EDM)RW211997-04-15 09:00:37Yes214 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm821,666$821,666$821,666$
Corban Knight Oilers (EDM)C271990-09-10 06:35:33Yes195 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm750,000$750,000$
Dan SextonOilers (EDM)RW291988-08-02 23:11:13No180 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm600,000$
Dylan DeMelo Oilers (EDM)D251993-05-01 05:12:57Yes195 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm725,000$725,000$
James SheppardOilers (EDM)C281989-08-03 05:11:13No222 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm800,000$800,000$
Jeff ZatkoffOilers (EDM)RW291988-08-02 23:11:14Yes183 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm1,750,000$
Jordan OesterleOilers (EDM)D251992-06-24 06:39:21Yes182 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm925,000$925,000$
Kerby RychelOilers (EDM)RW221995-08-03 17:11:13Yes207 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm894,167$
Luke GlendeningOilers (EDM)C271990-08-03 11:11:13No198 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm2,000,000$2,000,000$2,000,000$
Max Friberg Oilers (EDM)LW251992-11-20 05:14:38Yes200 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm588,000$588,000$
Nate ProsserOilers (EDM)D301987-08-03 17:11:13Yes204 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm800,000$800,000$800,000$
Nic DowdOilers (EDM)C271990-05-26 13:20:12Yes175 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm600,000$600,000$
Nick CousinsOilers (EDM)LW231994-08-03 11:11:13Yes172 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm811,667$
Nikolaj Ehlers Oilers (EDM)LW221996-02-13 05:16:14Yes168 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm1,594,000$1,594,000$
Paul PostmaOilers (EDM)D271990-08-03 11:11:13Yes201 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm575,000$575,000$575,000$
Rob O'GaraOilers (EDM)D241993-07-06 04:09:48Yes207 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm925,000$925,000$925,000$
Robert HaggOilers (EDM)D231995-02-08 09:02:27Yes204 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm894,167$894,167$894,167$
Ryan SproulOilers (EDM)D251993-01-13 09:04:01Yes211 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm625,000$625,000$625,000$
Stefan MatteauOilers (EDM)LW221995-08-03 17:11:13Yes217 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm842,500$
Timo MeierOilers (EDM)RW211996-10-08 09:05:47Yes210 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm894,167$894,167$894,167$
Tomas JurcoOilers (EDM)RW241993-08-03 05:11:13Yes199 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm1,500,000$1,500,000$1,500,000$
Ville KoistinenOilers (EDM)D341983-08-03 17:11:13No199 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm900,000$900,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2925.69196 Lbs6 ft12.03876,977$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nikolaj Ehlers Luke GlendeningTomas Jurco35122
2Stefan MatteauJames SheppardAndreas Athanasiou 35122
3Nick CousinsChris VandeVeldeKerby Rychel25122
4Charles Hudon Nic DowdDan Sexton5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon DavidsonVille Koistinen35122
2Brad HuntNate Prosser35122
3Jordan OesterleDylan DeMelo 30122
4Brandon DavidsonVille Koistinen0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nikolaj Ehlers Luke GlendeningTomas Jurco60122
2Stefan MatteauJames SheppardAndreas Athanasiou 40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon DavidsonVille Koistinen60122
2Brad HuntNate Prosser40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Luke GlendeningNikolaj Ehlers 60122
2Tomas JurcoJames Sheppard40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon DavidsonVille Koistinen60122
2Brad HuntNate Prosser40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Luke Glendening60122Brandon DavidsonVille Koistinen60122
2Nikolaj Ehlers 40122Brad HuntNate Prosser40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Luke GlendeningNikolaj Ehlers 60122
2Tomas JurcoJames Sheppard40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon DavidsonVille Koistinen60122
2Brad HuntNate Prosser40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikolaj Ehlers Luke GlendeningTomas JurcoBrandon DavidsonVille Koistinen
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikolaj Ehlers Luke GlendeningTomas JurcoBrandon DavidsonVille Koistinen
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Timo Meier, Christian Fischer, Corban Knight Timo Meier, Christian FischerCorban Knight
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jordan Oesterle, Dylan DeMelo , Brad HuntJordan OesterleDylan DeMelo , Brad Hunt
Tirs de Pénalité
Luke Glendening, Nikolaj Ehlers , Tomas Jurco, James Sheppard, Andreas Athanasiou
Gardien
#1 : Jeff Zatkoff, #2 : Aaron Dell


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
1Blackhawks514000001423-931200000812-420200000611-520.200142640003641202756955318857471111317.69%16568.75%07513057.69%6413348.12%488258.54%11268109438542
Total514000001423-931200000812-420200000611-520.200142640003641202756955318857471111317.69%16568.75%07513057.69%6413348.12%488258.54%11268109438542
_Since Last GM Reset514000001423-931200000812-420200000611-520.200142640003641202756955318857471111317.69%16568.75%07513057.69%6413348.12%488258.54%11268109438542
_Vs Conference514000001423-931200000812-420200000611-520.200142640003641202756955318857471111317.69%16568.75%07513057.69%6413348.12%488258.54%11268109438542

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
52L3142640202188574711100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
51400001423
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3120000812
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2020000611
Derniers 10 Matchs
WLOTWOTL SOWSOL
140000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1317.69%16568.75%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
75695533641
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
7513057.69%6413348.12%488258.54%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11268109438542


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 - 2017-10-017Blackhawks4Oilers1LSommaire du Match
4 - 2017-10-0315Blackhawks4Oilers5WXSommaire du Match
6 - 2017-10-0523Oilers3Blackhawks7LSommaire du Match
8 - 2017-10-0731Oilers3Blackhawks4LSommaire du Match
10 - 2017-10-0939Blackhawks4Oilers2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4525
Assistance52642708
Assistance PCT87.73%90.27%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 2657 - 88.58% 151,275$453,824$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,543,235$ 1,364,401$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
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
12514000001423-931200000812-420200000611-52142640003641202756955318857471111317.69%16568.75%07513057.69%6413348.12%488258.54%11268109438542
Total Séries514000001423-931200000812-420200000611-52142640003641202756955318857471111317.69%16568.75%07513057.69%6413348.12%488258.54%11268109438542