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Tulsa Oilers
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Jean Philppe Croteau | Morale : 1 | Moyenne d’équipe : 64
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralJean Philppe Croteau
EntraîneurDave Hakstol
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 100
Espoirs17


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
1Tage Thompson 0X100.0074418467837780676669716463575788516622411,000,000$
2Mackenzie MacEachern0XX100.008344736479788266586566626274716185650281750,000$
3Glen Gawdin (R)0X100.006147896879858763746662616068665683650251850,000$
4Drew OConnor (R)0XX100.007855757378727573506567596247476483640243800,000$
5Jamie McGinn0XXX100.006835766977725970706161636579625582630331850,000$
6Nolan Stevens (R)0XX100.006445916873918859756661605450507277630251800,000$
7Alexander Holtz (R)0XX100.006657657068777568506560616051469243612203925,000$
8Austin Poganski0XX100.006142906078737559606060605570675664610262920,000$
9Sam Miletic0X100.006043906377878557576053535968665569600251800,000$
10Peter Abbandonato0X100.0055418459727372547258596058656463725902421,280,000$
11Tanner Kaspick (R)0X100.005958806878878855545355555549497664591242750,000$
12Matthew Strome0X100.007844876189737254515153575663647167580232850,000$
13Aarne Talvitie (R)0X100.006560615861727556625754555761617565570231842,500$
14Luke Evangelista (R)0X100.007760615961606059615451586062625473560212825,833$
15Garry Nunn0XXX100.005845565560667759505454545046467664550321750,000$
16Jake Walman (R)0X100.007038877074858565306561764870675182692262850,000$
17Niko Mikkola 0X100.0089657668968580673063617656574960496902641,500,000$
18Adam Boqvist0X100.006139907372838272306860725264658633672211925,000$
19Matt Donovan0X100.006455836178878858306353654681735375651321750,000$
20Max Gildon (R)0X100.007760816168788059306555626062627541620232853,333$
21Jordan Schmaltz0X100.006248875980827855305356565176706650610281900,000$
Rayé
MOYENNE D’ÉQUIPE100.00684979647578786252615961576360676562
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 SPÂgeContratSalaire moyen
1Evan Fitzpatrick 100.00718486887883797672727057578884742271925,000$
2Ville Husso100.007780788472747276727070707460597302731,000,000$
Rayé
1Nico Daws (R)100.00758271907777787678767445558819730213925,000$
2Gilles Senn (R)100.00778278807577757575757045457719710261950,000$
MOYENNE D’ÉQUIPE100.0075827886767876767473715458784573
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Hakstol62717572777771CAN5221,500,000$


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
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


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 restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Aarne TalvitieTulsa Oilers (STL)C231999-02-11 12:59:39Yes198 Lbs5 ft10NoNoNo1Pro & Farm842,500$842,500$0$0$No
Adam BoqvistTulsa Oilers (STL)D212000-08-15No179 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien
Alexander HoltzTulsa Oilers (STL)LW/RW202002-01-23 06:47:21Yes195 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Austin PoganskiTulsa Oilers (STL)LW/RW261996-02-16No198 Lbs6 ft11NoNoNo2Pro & Farm920,000$920,000$0$0$No920,000$Lien
Drew OConnorTulsa Oilers (STL)LW/RW241998-06-09 02:34:30Yes200 Lbs6 ft3NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$
Evan Fitzpatrick Tulsa Oilers (STL)G271994-07-28 05:05:33No205 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$0$0$No
Garry NunnTulsa Oilers (STL)C/LW/RW321989-11-10No175 Lbs5 ft9NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Gilles Senn Tulsa Oilers (STL)G261996-03-26 04:23:14Yes202 Lbs6 ft5NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien
Glen GawdinTulsa Oilers (STL)C251997-03-25Yes191 Lbs6 ft1NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien
Jake Walman Tulsa Oilers (STL)D261996-02-20 05:20:33Yes170 Lbs6 ft1NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$
Jamie McGinnTulsa Oilers (STL)C/LW/RW331988-08-05No205 Lbs6 ft1NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien / Lien NHL
Jordan SchmaltzTulsa Oilers (STL)D281993-10-08No196 Lbs6 ft2NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Luke EvangelistaTulsa Oilers (STL)RW212001-02-21 12:55:12Yes166 Lbs5 ft11NoNoNo2Pro & Farm825,833$825,833$0$0$No825,833$
Mackenzie MacEachernTulsa Oilers (STL)LW/RW281994-03-09No190 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Matt DonovanTulsa Oilers (STL)D321990-05-09No205 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Matthew StromeTulsa Oilers (STL)LW231999-01-06No206 Lbs6 ft4NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien
Max GildonTulsa Oilers (STL)D231999-05-17 12:57:21Yes191 Lbs6 ft3NoNoNo2Pro & Farm853,333$853,333$0$0$No853,333$
Nico DawsTulsa Oilers (STL)G212000-12-08 06:55:19Yes205 Lbs7 ft2NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Niko Mikkola Tulsa Oilers (STL)D261996-04-27 13:14:55No185 Lbs6 ft4NoNoNo4Pro & Farm1,500,000$1,500,000$0$0$No1,500,000$1,500,000$1,500,000$
Nolan Stevens Tulsa Oilers (STL)C/LW251996-07-22 13:22:00Yes183 Lbs6 ft3NoNoNo1Pro & Farm800,000$800,000$0$0$No
Peter AbbandonatoTulsa Oilers (STL)C241998-03-25No195 Lbs5 ft11NoNoNo2Pro & Farm1,280,000$1,280,000$0$0$No1,280,000$Lien
Sam MileticTulsa Oilers (STL)LW251997-05-04No197 Lbs6 ft0NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien
Tage Thompson Tulsa Oilers (STL)C241997-10-30 01:30:09No185 Lbs6 ft5NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Tanner Kaspick (contrat à 1 volet)Tulsa Oilers (STL)C241998-01-28 02:47:50Yes205 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$750,000$0$No750,000$
Ville HussoTulsa Oilers (STL)G271995-02-06No205 Lbs6 ft3NoNoNo3Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.36193 Lbs6 ft21.72902,867$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mackenzie MacEachernTage Thompson Drew OConnor30122
2Jamie McGinnGlen GawdinAlexander Holtz30122
3Austin PoganskiNolan Stevens Luke Evangelista20122
4Sam MileticPeter AbbandonatoGarry Nunn20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Niko Mikkola Jake Walman 30122
2Adam BoqvistMatt Donovan30122
3Max GildonJordan Schmaltz20122
4Adam BoqvistMatt Donovan20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mackenzie MacEachernTage Thompson Drew OConnor60122
2Jamie McGinnGlen GawdinAlexander Holtz40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Walman Niko Mikkola 60122
2Adam BoqvistMatt Donovan40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tage Thompson Glen Gawdin60122
2Mackenzie MacEachernDrew OConnor40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Niko Mikkola Jordan Schmaltz60122
2Adam BoqvistMatt Donovan40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tage Thompson 60122Jake Walman Max Gildon60122
2Glen Gawdin40122Adam BoqvistMatt Donovan40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tage Thompson Glen Gawdin60122
2Mackenzie MacEachernDrew OConnor40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SchmaltzNiko Mikkola 60122
2Adam BoqvistMatt Donovan40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mackenzie MacEachernTage Thompson Drew OConnorNiko Mikkola Jake Walman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mackenzie MacEachernTage Thompson Drew OConnorNiko Mikkola Jake Walman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Strome, Tanner Kaspick , Aarne TalvitieMatthew Strome, Tanner Kaspick Aarne Talvitie
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Donovan, Jordan Schmaltz, Adam BoqvistAdam BoqvistJordan Schmaltz, Adam Boqvist
Tirs de pénalité
Tage Thompson , Glen Gawdin, Mackenzie MacEachern, Drew OConnor, Jamie McGinn
Gardien
#1 : Evan Fitzpatrick , #2 : Ville Husso
Lignes d’attaque personnalisées en prolongation
Tage Thompson , Glen Gawdin, Mackenzie MacEachern, Drew OConnor, Jamie McGinn, Nolan Stevens , Nolan Stevens , Alexander Holtz, Austin Poganski, Sam Miletic, Peter Abbandonato
Lignes de défense personnalisées en prolongation
Jake Walman , Jordan Schmaltz, Adam Boqvist, Matt Donovan, Niko Mikkola


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
TotalDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs 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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,182,166$ 2,182,166$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Tulsa Oilers Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Tulsa Oilers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Tulsa Oilers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Tulsa Oilers Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Tulsa Oilers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA