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Tulsa Oilers
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
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
EntraîneurJay Woodcroft
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 100
Espoirs29


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
1Josh Leivo0XXX100.007641867179788368667170636880744671680312850,000$
2Nicolas Deslauriers0XX100.009890656487789065556361676285804468671332850,000$
3Lukas Reichel (R)0X100.006735797573808672496963626058588777662222925,000$
4Drew OConnor (R)0XXX100.007250906983808365666567616368676175660261800,000$
5Will Cuylle (R)0X100.007340706871777866576266665552598883642221900,000$
6Alexander Holtz (R)0XX100.006757787081827770626163596054498963632221925,000$
7Josiah Slavin0X100.007945816183798264735957686164637467630253790,000$
8Kyle Clifford0XXX100.008460666283797560526161666082735748632332750,000$
9Zachary Bolduc (R)0X100.007755666976757468646260596156519351622213925,000$
10Glen Gawdin0X100.006647725979888756675858636571695366620272800,000$
11Jack Dugan0XX100.006838786278757560666361585766655967610261775,000$
12Mitchell Chaffee0XX100.006455796168787758505858575758585756590263800,000$
13Matt Irwin0X100.008549746178858560306956825084752436700361850,000$
14Chris Wideman0X100.006945806866808068307457715583731459681341850,000$
15Alexander Alexeyev (R)0X100.008145866993857964306157665567677265682243800,000$
16Chad Ruhwedel0X100.007939936370848559306357745579743147670342900,000$
17Tyler Tucker0X100.007255776379828663306161645558535757640243850,000$
18Mark Friedman 0X100.006742796965778263306058706054537949642282800,000$
19Tristan Luneau (R)0X100.007045616772707065306563706057578858642203925,000$
20Griffin Mendel (R)0X100.008060655678787559305957615552525856610253775,000$
21Max Gildon (R)0X100.007241755582707254305653616063637445600252700,000$
Rayé
1Nolan Stevens 0XX100.006345936974918860756762595453526950630271750,000$
2Tanner Kaspick (R)0X100.006648805374647652545654545550507519551262700,000$
3Ronan Seeley (R)0X100.006136885670687255305959604561557719580212810,000$
MOYENNE D’ÉQUIPE100.00734878647778806248636064586562645664
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
1Nico Daws (R)0100.00788280827479818081787659598484752231925,000$
2Brandon Bussi0100.00807775827472717069746855557078700252850,000$
Rayé
MOYENNE D’ÉQUIPE100.0079807882747676757576725757778173
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jay Woodcroft82849483706579CAN4645,000,000$


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Alexander AlexeyevTulsa Oilers (STL)D241999-11-15Yes213 Lbs6 ft4NoNoN/ANoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$-------NoNo-------Lien
Alexander HoltzTulsa Oilers (STL)LW/RW222002-01-23 06:47:21Yes195 Lbs6 ft0NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------Lien
Brandon BussiTulsa Oilers (STL)G251998-06-25 03:17:51No213 Lbs6 ft4NoNoFree AgentNoNo2Pro & Farm850,000$850,000$0$0$No850,000$--------No--------Lien
Chad RuhwedelTulsa Oilers (STL)D341990-05-07No191 Lbs5 ft11NoNoN/ANoNo2Pro & Farm900,000$900,000$0$0$No900,000$--------No--------Lien / Lien NHL
Chris WidemanTulsa Oilers (STL)D341990-01-07 02:57:02No183 Lbs5 ft10NoNoN/ANoNo1Pro & Farm850,000$850,000$0$0$No------------------
Drew OConnorTulsa Oilers (STL)C/LW/RW261998-06-09 02:34:30Yes200 Lbs6 ft3NoNoN/ANoNo1Pro & Farm800,000$800,000$0$0$No------------------
Glen GawdinTulsa Oilers (STL)C271997-03-25No191 Lbs6 ft1NoNoN/ANoNo2Pro & Farm800,000$800,000$0$0$No800,000$--------No--------Lien
Griffin MendelTulsa Oilers (STL)D251999-02-18 02:54:42Yes216 Lbs6 ft4NoNoN/ANoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$-------NoNo-------
Jack DuganTulsa Oilers (STL)C/LW261998-03-24 04:05:38No185 Lbs6 ft2NoNoN/ANoNo1Pro & Farm775,000$775,000$0$0$No------------------
Josh LeivoTulsa Oilers (STL)C/LW/RW311993-05-26No192 Lbs6 ft1NoNoN/ANoNo2Pro & Farm850,000$850,000$0$0$No850,000$--------No--------Lien / Lien NHL
Josiah SlavinTulsa Oilers (STL)LW251998-12-31 05:44:32No189 Lbs6 ft3NoNoN/ANoNo3Pro & Farm790,000$790,000$0$0$No790,000$790,000$-------NoNo-------
Kyle CliffordTulsa Oilers (STL)C/LW/RW331991-01-13No214 Lbs6 ft2NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------Lien / Lien NHL
Lukas ReichelTulsa Oilers (STL)LW222002-05-17 13:40:55Yes170 Lbs6 ft0NoNoN/ANoNo2Pro & Farm925,000$925,000$0$0$No925,000$--------No--------
Mark Friedman Tulsa Oilers (STL)D281995-12-25 01:44:44No191 Lbs5 ft10NoNoN/ANoNo2Pro & Farm800,000$800,000$0$0$No800,000$--------No--------
Matt IrwinTulsa Oilers (STL)D361987-11-29No207 Lbs6 ft1NoNoN/ANoNo1Farm Only850,000$850,000$0$0$No------------------Lien / Lien NHL
Max GildonTulsa Oilers (STL)D251999-05-17 12:57:21Yes194 Lbs6 ft3NoNoN/ANoNo2Pro & Farm700,000$700,000$0$0$No700,000$--------No--------
Mitchell ChaffeeTulsa Oilers (STL)LW/RW261998-01-26 07:57:37No201 Lbs6 ft0NoNoN/ANoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$-------NoNo-------
Nico DawsTulsa Oilers (STL)G232000-12-08 06:55:19Yes205 Lbs6 ft4NoNoDraftNoNo1Pro & Farm925,000$925,000$0$0$No------------------Lien
Nicolas DeslauriersTulsa Oilers (STL)LW/RW331991-02-22No219 Lbs6 ft3NoNoN/ANoNo2Pro & Farm850,000$850,000$0$0$No850,000$--------No--------Lien / Lien NHL
Nolan Stevens Tulsa Oilers (STL)C/LW271996-07-22 13:22:00No183 Lbs6 ft3NoNoN/ANoNo1Pro & Farm750,000$750,000$0$0$No------------------
Ronan SeeleyTulsa Oilers (STL)D212002-08-02 15:22:14Yes176 Lbs6 ft0NoNoN/ANoNo2Pro & Farm810,000$810,000$0$0$No810,000$--------No--------
Tanner Kaspick Tulsa Oilers (STL)C261998-01-28 02:47:50Yes200 Lbs6 ft0NoNoN/ANoNo2Pro & Farm700,000$700,000$0$0$No700,000$--------No--------
Tristan LuneauTulsa Oilers (STL)D202004-01-12 04:20:54Yes175 Lbs6 ft1NoNoN/ANoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------Lien
Tyler TuckerTulsa Oilers (STL)D242000-03-01 04:14:36No205 Lbs6 ft1NoNoN/ANoNo3Pro & Farm850,000$850,000$0$0$No850,000$850,000$-------NoNo-------
Will CuylleTulsa Oilers (STL)LW222002-02-05 10:22:08Yes204 Lbs6 ft3NoNoTrade2024-03-12NoNo1Pro & Farm900,000$900,000$0$0$No------------------Lien
Zachary Bolduc Tulsa Oilers (STL)C212003-02-24 04:51:16Yes187 Lbs6 ft0NoNoDraftNoNo32024-03-26Pro & Farm925,000$925,000$0$0$No925,000$925,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2626.38196 Lbs6 ft11.96829,808$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew OConnorWill CuylleAlexander Holtz30122
2Lukas ReichelGlen GawdinKyle Clifford30122
3Zachary Bolduc Josh LeivoJosiah Slavin20122
4Josh LeivoLukas ReichelGlen Gawdin20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Griffin MendelMatt Irwin30122
2Chris WidemanTristan Luneau30122
3Mark Friedman Chad Ruhwedel20122
4Mark Friedman Griffin Mendel20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Glen GawdinLukas ReichelJosiah Slavin60122
2Will CuylleJosh LeivoDrew OConnor40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt IrwinMark Friedman 60122
2Griffin MendelChad Ruhwedel40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Josiah SlavinDrew OConnor60122
2Glen GawdinLukas Reichel40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark Friedman Griffin Mendel60122
2Chad RuhwedelMatt Irwin40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Josiah Slavin60122Mark Friedman Matt Irwin60122
2Lukas Reichel40122Griffin MendelChad Ruhwedel40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Glen GawdinJosiah Slavin60122
2Drew OConnorLukas Reichel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt IrwinGriffin Mendel60122
2Mark Friedman Chad Ruhwedel40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew OConnorLukas ReichelJosiah SlavinMatt IrwinChris Wideman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew OConnorLukas ReichelJosiah SlavinMatt IrwinChris Wideman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Josiah Slavin, Lukas Reichel, Drew OConnorLukas Reichel, Josiah SlavinLukas Reichel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Griffin Mendel, Max Gildon, Matt IrwinMatt IrwinMatt Irwin, Mark Friedman
Tirs de pénalité
Josiah Slavin, Lukas Reichel, Will Cuylle, Glen Gawdin, Drew OConnor
Gardien
#1 : Nico Daws, #2 : Brandon Bussi
Lignes d’attaque personnalisées en prolongation
Alexander Holtz, Nicolas Deslauriers, Glen Gawdin, Josiah Slavin, Will Cuylle, Josh Leivo, Josh Leivo, Kyle Clifford, Drew OConnor, Zachary Bolduc , Lukas Reichel
Lignes de défense personnalisées en prolongation
Griffin Mendel, Max Gildon, Mark Friedman , Matt Irwin, Chad Ruhwedel


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%000%0000%000%000%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%000%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%000%000%
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%0%
Assistance PCT0%0%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,157,500$ 2,157,500$ 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 des joueurs (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 des joueurs (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