Connexion

Tulsa Oilers
GP: 15 | W: 7 | L: 7 | OTL: 1 | P: 15
GF: 57 | GA: 55 | PP%: 32.69% | PK%: 61.76%
DG: Jean Philppe Croteau | Morale : 38 | Moyenne d’équipe : 64
Prochains matchs #259 vs Cleveland Monsters
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Centre de jeu
Tulsa Oilers
7-7-1, 15pts
3
FINAL
1 Charlotte Checkers
10-4-1, 21pts
Team Stats
L1StreakW1
3-4-1Home Record5-3-0
4-3-0Away Record5-1-1
4-6-0Last 10 Games5-4-1
3.80Buts par match 4.93
3.67Buts contre par match 4.20
32.69%Pourcentage en avantage numérique27.78%
61.76%Pourcentage en désavantage numérique70.73%
Milwaukee Admirals
5-6-0, 10pts
4
FINAL
2 Tulsa Oilers
7-7-1, 15pts
Team Stats
W1StreakL1
3-5-0Home Record3-4-1
2-1-0Away Record4-3-0
4-6-0Last 10 Games4-6-0
3.55Buts par match 3.80
3.64Buts contre par match 3.67
28.00%Pourcentage en avantage numérique32.69%
84.85%Pourcentage en désavantage numérique61.76%
Tulsa Oilers
7-7-1, 15pts
2023-11-18
Cleveland Monsters
6-5-1, 13pts
Statistiques d’équipe
L1SéquenceL1
3-4-1Fiche domicile4-3-1
4-3-0Fiche visiteur2-2-0
4-6-010 derniers matchs6-4-0
3.80Buts par match 4.25
3.67Buts contre par match 4.25
32.69%Pourcentage en avantage numérique42.86%
61.76%Pourcentage en désavantage numérique70.45%
Tulsa Oilers
7-7-1, 15pts
2023-11-20
Manitoba Moose
8-7-0, 16pts
Statistiques d’équipe
L1SéquenceL1
3-4-1Fiche domicile6-2-0
4-3-0Fiche visiteur2-5-0
4-6-010 derniers matchs5-5-0
3.80Buts par match 3.33
3.67Buts contre par match 3.33
32.69%Pourcentage en avantage numérique23.81%
61.76%Pourcentage en désavantage numérique57.58%
Palm Springs
8-4-1, 17pts
2023-11-22
Tulsa Oilers
7-7-1, 15pts
Statistiques d’équipe
W2SéquenceL1
6-1-1Fiche domicile3-4-1
2-3-0Fiche visiteur4-3-0
7-2-110 derniers matchs4-6-0
3.38Buts par match 3.80
2.77Buts contre par match 3.80
29.17%Pourcentage en avantage numérique32.69%
73.81%Pourcentage en désavantage numérique61.76%
Meneurs d'équipe
Buts
Lukas Reichel
14
Passes
Nolan Stevens
11
Points
Lukas Reichel
24
Plus/Moins
Chris Wideman
9
Victoires
Nico Daws
7
Pourcentage d’arrêts
Nico Daws
0.902

Statistiques d’équipe
Buts pour
57
3.80 GFG
Tirs pour
502
33.47 Avg
Pourcentage en avantage numérique
32.7%
17 GF
Début de zone offensive
38.1%
Buts contre
55
3.67 GAA
Tirs contre
530
35.33 Avg
Pourcentage en désavantage numérique
61.8%%
13 GA
Début de la zone défensive
37.2%
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
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 100
Espoirs30


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 Leivo0XXX100.007641857179788367667070646878724834670302850,000$
2Nicolas Deslauriers0XX100.009890666487789065556260686283784549661322850,000$
3Lukas Reichel (R)0X100.006635787371808671506763646056568849652212925,000$
4Luke Evangelista (R)0X100.006036777071867368606867656467625345652224850,000$
5Drew OConnor (R)0XXX100.007250896983808364666465616366656343650251800,000$
6Josiah Slavin0X100.007845806082798263735855696162617545630243790,000$
7Nolan Stevens 0XX100.006345926873918859756661595451517146630271750,000$
8Alexander Holtz (R)0XX100.006757786879827769626161606052479042622211925,000$
9Glen Gawdin0X100.006647715979888757675859656569675541620262800,000$
10Jack Dugan0XX100.006838776278757560666361595764646144610251775,000$
11Mitchell Chaffee0XX100.006555786168787759505958595756565843590253800,000$
12Tanner Kaspick (R)0X100.006648805374647652545654545550507542551252700,000$
13Chad Ruhwedel0X100.008039926371848559306558755577723330680332900,000$
14Chris Wideman0X100.006945796866808067307356705581711543671331850,000$
15Alexander Alexeyev (R)0X100.008245856892857964306158655565667442672243800,000$
16Tyler Tucker0X100.007255776278828663306260645556515835640233850,000$
17Tristan Luneau (R)0X100.006045606070707060306060606055558943592193925,000$
Rayé
1Mark Friedman 0X100.006842786865778263306059696052528128632272800,000$
2Griffin Mendel (R)0X99.338060655577787559305957625550506034610243775,000$
3Max Gildon (R)0X100.007341755582707254305753626063637430600242700,000$
4Ronan Seeley (R)0X100.006136885670687255305959604561557730580212810,000$
MOYENNE D’ÉQUIPE99.95714779637679806248626064586360644063
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)0100.00767572907273757578757456568652722221925,000$
2Brandon Bussi0100.00807775827472717069746855557046700252850,000$
Rayé
MOYENNE D’ÉQUIPE100.0078767486737373737475715656784971
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
1Lukas ReichelTulsa Oilers (STL)LW15141024120171874204318.92%1132221.5154910400001142040.12%162197011.4901000421
2Josh LeivoTulsa Oilers (STL)C/LW/RW1512820-360101449233124.49%928519.024488370000131048.35%24284011.4000000121
3Nolan Stevens Tulsa Oilers (STL)C/LW15611173004936112316.67%620013.38246333000020054.96%13165001.6901000300
4Alexander HoltzTulsa Oilers (STL)LW/RW155914-47514193571914.29%723615.7811217000091127.78%1886011.1800010011
5Luke EvangelistaTulsa Oilers (STL)RW154812340965614307.14%322615.1000000000000053.33%1565001.0600000021
6Chris WidemanTulsa Oilers (STL)D150999001619281170.00%1533322.21044444000031000.00%048000.5400000000
7Nicolas DeslauriersTulsa Oilers (STL)LW/RW152794502019241241516.67%625116.78112429000000048.50%23302000.7200202000
8Josiah SlavinTulsa Oilers (STL)LW154480602416196921.05%927618.431452400000261157.83%8325000.5801000000
9Drew OConnorTulsa Oilers (STL)C/LW/RW15448-65532164115199.76%830220.161126310001280030.77%1396000.5300001000
10Chad RuhwedelTulsa Oilers (STL)D13167-6552322241074.17%2336328.00123134000029000.00%0414000.3800010010
11Jack DuganTulsa Oilers (STL)C/LW15077420178234180.00%019012.6800000000000050.00%664000.7400000000
12Tyler TuckerTulsa Oilers (STL)D15134-938102014231284.35%2937425.00101129000014000.00%0515000.2100011000
13Griffin MendelTulsa Oilers (STL)D151231241012811289.09%1021614.4001119000014100.00%006000.2800110000
14Alexander AlexeyevTulsa Oilers (STL)D15033-4409118120.00%825517.0102212900002000.00%018000.2400000000
15Mitchell ChaffeeTulsa Oilers (STL)LW/RW15112-100792510234.00%41127.47000010001010100.00%263000.3600000000
16Tristan LuneauTulsa Oilers (STL)D15112160125106210.00%521714.530000000001000.00%025000.1800000001
17Tanner Kaspick Tulsa Oilers (STL)C15112-1404586912.50%21026.8600001000000041.67%6000000.3900000000
18Mark Friedman Tulsa Oilers (STL)D3011600133210.00%34414.930000000000000.00%001000.4500000000
19Glen GawdinTulsa Oilers (STL)C15011-3201210171060.00%615210.1800000000000075.00%410000.1301000000
Statistiques d’équipe totales ou en moyenne2715796153-51655526223650217428011.35%164446616.481728454237200031897247.99%96987104030.6904344885
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
1Nico DawsTulsa Oilers (STL)157710.9023.469030052528274020.7504150103
Statistiques d’équipe totales ou en moyenne157710.9023.469030052528274024150103


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 Waiver Possible 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
Alexander AlexeyevTulsa Oilers (STL)D241999-11-15Yes213 Lbs6 ft4NoNoNoNo3Pro & Farm800,000$642,060$800,000$642,060$0$0$No800,000$800,000$Lien
Alexander HoltzTulsa Oilers (STL)LW/RW212002-01-23 06:47:21Yes195 Lbs6 ft0NoNoNoNo1Pro & Farm925,000$742,382$925,000$742,382$0$0$NoLien
Brandon BussiTulsa Oilers (STL)G251998-06-25 03:17:51No213 Lbs6 ft4NoNoNoNo2Pro & Farm850,000$682,189$850,000$682,189$0$0$No850,000$
Chad RuhwedelTulsa Oilers (STL)D331990-05-07No191 Lbs5 ft11NoNoNoNo2Pro & Farm900,000$722,318$900,000$722,318$0$0$No900,000$Lien / Lien NHL
Chris WidemanTulsa Oilers (STL)D331990-01-07 02:57:02No183 Lbs5 ft10NoNoNoNo1Pro & Farm850,000$682,189$850,000$682,189$0$0$No
Drew OConnorTulsa Oilers (STL)C/LW/RW251998-06-09 02:34:30Yes200 Lbs6 ft3NoNoNoNo1Pro & Farm800,000$642,060$800,000$642,060$0$0$No
Glen GawdinTulsa Oilers (STL)C261997-03-25No191 Lbs6 ft1NoNoNoNo2Pro & Farm800,000$642,060$800,000$642,060$0$0$No800,000$Lien
Griffin MendelTulsa Oilers (STL)D241999-02-18 02:54:42Yes216 Lbs6 ft4NoNoNoNo3Pro & Farm775,000$621,996$775,000$621,996$0$0$No775,000$775,000$
Jack DuganTulsa Oilers (STL)C/LW251998-03-24 04:05:38No185 Lbs6 ft2NoNoNoNo1Pro & Farm775,000$621,996$775,000$621,996$0$0$No
Josh LeivoTulsa Oilers (STL)C/LW/RW301993-05-26No192 Lbs6 ft1NoNoNoNo2Pro & Farm850,000$682,189$850,000$682,189$0$0$No850,000$Lien / Lien NHL
Josiah SlavinTulsa Oilers (STL)LW241998-12-31 05:44:32No189 Lbs6 ft3NoNoNoNo3Pro & Farm790,000$634,034$790,000$634,034$0$0$No790,000$790,000$
Lukas ReichelTulsa Oilers (STL)LW212002-05-17 13:40:55Yes170 Lbs6 ft0NoNoNoNo2Pro & Farm925,000$742,382$925,000$742,382$0$0$No925,000$
Luke EvangelistaTulsa Oilers (STL)RW222001-02-21 12:55:12Yes166 Lbs5 ft11NoNoNoNo4Pro & Farm850,000$682,189$850,000$682,189$0$0$No850,000$850,000$850,000$
Mark Friedman Tulsa Oilers (STL)D271995-12-25 01:44:44No191 Lbs5 ft10NoNoNoNo2Pro & Farm800,000$642,060$800,000$642,060$0$0$No800,000$
Max GildonTulsa Oilers (STL)D241999-05-17 12:57:21Yes194 Lbs6 ft3NoNoNoNo2Pro & Farm700,000$561,803$700,000$561,803$0$0$No700,000$
Mitchell ChaffeeTulsa Oilers (STL)LW/RW251998-01-26 07:57:37No201 Lbs6 ft0NoNoNoNo3Pro & Farm800,000$642,060$800,000$642,060$0$0$No800,000$800,000$
Nico DawsTulsa Oilers (STL)G222000-12-08 06:55:19Yes205 Lbs7 ft2NoNoNoNo1Pro & Farm925,000$742,382$925,000$742,382$0$0$No
Nicolas DeslauriersTulsa Oilers (STL)LW/RW321991-02-22No219 Lbs6 ft3NoNoNoNo2Pro & Farm850,000$682,189$850,000$682,189$0$0$No850,000$Lien / Lien NHL
Nolan Stevens Tulsa Oilers (STL)C/LW271996-07-22 13:22:00No183 Lbs6 ft3NoNoNoNo1Pro & Farm750,000$601,931$750,000$601,931$0$0$No
Ronan SeeleyTulsa Oilers (STL)D212002-08-02 15:22:14Yes176 Lbs6 ft0NoNoNoNo2Pro & Farm810,000$650,086$810,000$650,086$0$0$No810,000$
Tanner Kaspick Tulsa Oilers (STL)C251998-01-28 02:47:50Yes200 Lbs6 ft0NoNoNoNo2Pro & Farm700,000$561,803$700,000$561,803$0$0$No700,000$
Tristan LuneauTulsa Oilers (STL)D192004-01-12 04:20:54Yes175 Lbs6 ft1NoNoNoNo3Pro & Farm925,000$742,382$925,000$742,382$0$0$No925,000$925,000$Lien
Tyler TuckerTulsa Oilers (STL)D232000-03-01 04:14:36No205 Lbs6 ft1NoNoNoNo3Pro & Farm850,000$682,189$850,000$682,189$0$0$No850,000$850,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.13194 Lbs6 ft22.09826,087$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew OConnorJosh LeivoAlexander Holtz30122
2Lukas ReichelNicolas DeslauriersLuke Evangelista30122
3Jack DuganNolan Stevens Josiah Slavin20122
4Mitchell ChaffeeTanner Kaspick Glen Gawdin20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chad RuhwedelChris Wideman30122
2Alexander AlexeyevTyler Tucker30122
3Tristan Luneau20122
4Tyler TuckerChad Ruhwedel20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Josh LeivoLukas ReichelJosiah Slavin60122
2Nicolas DeslauriersNolan Stevens Drew OConnor40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chad RuhwedelChris Wideman60122
2Alexander AlexeyevTyler Tucker40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Josiah SlavinDrew OConnor60122
2Josh LeivoLukas Reichel40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chad RuhwedelChris Wideman60122
2Tyler Tucker40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Josiah Slavin60122Tyler TuckerChad Ruhwedel60122
2Lukas Reichel40122Tristan LuneauChris Wideman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Josh LeivoJosiah Slavin60122
2Luke EvangelistaLukas Reichel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler TuckerChad Ruhwedel60122
2Chris WidemanAlexander Alexeyev40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josh LeivoLukas ReichelJosiah SlavinChad RuhwedelChris Wideman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josh LeivoLukas ReichelJosiah SlavinChad RuhwedelChris Wideman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Josiah Slavin, Lukas Reichel, Alexander HoltzLukas Reichel, Josiah SlavinLukas Reichel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Tristan Luneau, Tyler TuckerTyler TuckerTyler Tucker, Chad Ruhwedel
Tirs de pénalité
Josiah Slavin, Lukas Reichel, Nolan Stevens , Glen Gawdin, Jack Dugan
Gardien
#1 : Nico Daws, #2 : Brandon Bussi
Lignes d’attaque personnalisées en prolongation
Alexander Holtz, Nolan Stevens , Glen Gawdin, Josiah Slavin, Josh Leivo, Nicolas Deslauriers, Nicolas Deslauriers, Luke Evangelista, Drew OConnor, Jack Dugan, Lukas Reichel
Lignes de défense personnalisées en prolongation
, Tristan Luneau, Chad Ruhwedel, Tyler Tucker, Chris Wideman


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
1Binghamton Devils11000000413110000004130000000000021.00046100014232003315116018962615223200.00%10100.00%017836848.37%16135944.85%12623852.94%312170308139284146
2Charlotte Checkers210000018711000000156-11100000031230.750814220014232006915116018967327313711100.00%3166.67%017836848.37%16135944.85%12623852.94%312170308139284146
3Cleveland Monsters211000001011-100000000000211000001011-120.5001018280014232006215116018968231612310660.00%8450.00%017836848.37%16135944.85%12623852.94%312170308139284146
4Grand Rapids Griffins20200000410-61010000034-11010000016-500.0004711001423200631511601896751321527228.57%330.00%017836848.37%16135944.85%12623852.94%312170308139284146
5Iowa Wild1010000034-11010000034-10000000000000.000358001423200291511601896431713204125.00%4250.00%017836848.37%16135944.85%12623852.94%312170308139284146
6Manitoba Moose21100000981110000006421010000034-120.50091625001423200731511601896692014306350.00%7271.43%017836848.37%16135944.85%12623852.94%312170308139284146
7Milwaukee Admirals211000009541010000024-21100000071620.50091221101423200851511601896791792611327.27%20100.00%017836848.37%16135944.85%12623852.94%312170308139284146
8Providence Bruins 2110000067-12110000067-10000000000020.500612181014232005515116018964717832600.00%3166.67%017836848.37%16135944.85%12623852.94%312170308139284146
9Rockford IceHogs11000000422000000000001100000042221.00046100014232003315116018963676195120.00%30100.00%017836848.37%16135944.85%12623852.94%312170308139284146
Total15770000157552834000012930-17430000028253150.50057961532014232005021511601896530164165262521732.69%341361.76%017836848.37%16135944.85%12623852.94%312170308139284146
_Since Last GM Reset15770000157552834000012930-17430000028253150.50057961532014232005021511601896530164165262521732.69%341361.76%017836848.37%16135944.85%12623852.94%312170308139284146
_Vs Conference12560000147470513000011922-37430000028253110.45847781251014232004141511601896457132155207441738.64%301260.00%017836848.37%16135944.85%12623852.94%312170308139284146
_Vs Division6560000125196313000011112-1343000001477110.917253964101423200220151160189622761429526830.77%16475.00%017836848.37%16135944.85%12623852.94%312170308139284146

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1515L1579615350253016416526220
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
157700015755
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
83400012930
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
74300002825
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
521732.69%341361.76%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
15116018961423200
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
17836848.37%16135944.85%12623852.94%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
312170308139284146


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
3 - 2023-10-0315Providence Bruins 3Tulsa Oilers 1BLSommaire du match
7 - 2023-10-0735Tulsa Oilers 4Rockford IceHogs2AWSommaire du match
9 - 2023-10-0949Providence Bruins 4Tulsa Oilers 5BWSommaire du match
13 - 2023-10-1368Charlotte Checkers6Tulsa Oilers 5BLXXSommaire du match
19 - 2023-10-1999Manitoba Moose4Tulsa Oilers 6BWSommaire du match
20 - 2023-10-20103Tulsa Oilers 4Cleveland Monsters8ALSommaire du match
25 - 2023-10-25132Iowa Wild4Tulsa Oilers 3BLSommaire du match
28 - 2023-10-28150Tulsa Oilers 3Manitoba Moose4ALSommaire du match
30 - 2023-10-30163Grand Rapids Griffins4Tulsa Oilers 3BLSommaire du match
32 - 2023-11-01174Tulsa Oilers 1Grand Rapids Griffins6ALSommaire du match
36 - 2023-11-05193Tulsa Oilers 7Milwaukee Admirals1AWSommaire du match
38 - 2023-11-07201Binghamton Devils1Tulsa Oilers 4BWSommaire du match
43 - 2023-11-12227Tulsa Oilers 6Cleveland Monsters3AWSommaire du match
44 - 2023-11-13232Tulsa Oilers 3Charlotte Checkers1AWSommaire du match
45 - 2023-11-14239Milwaukee Admirals4Tulsa Oilers 2BLSommaire du match
49 - 2023-11-18259Tulsa Oilers -Cleveland Monsters-
51 - 2023-11-20263Tulsa Oilers -Manitoba Moose-
53 - 2023-11-22276Palm Springs -Tulsa Oilers -
59 - 2023-11-28303Tulsa Oilers -Texas Stars-
60 - 2023-11-29308Iowa Wild-Tulsa Oilers -
65 - 2023-12-04335Rockford IceHogs-Tulsa Oilers -
70 - 2023-12-09360Tulsa Oilers -Palm Springs -
71 - 2023-12-10369Stockton Heat-Tulsa Oilers -
74 - 2023-12-13386Tulsa Oilers -San Antonio Rampage-
76 - 2023-12-15399Rockford IceHogs-Tulsa Oilers -
78 - 2023-12-17410Tulsa Oilers -Hershey Bears-
80 - 2023-12-19421Tulsa Oilers -Milwaukee Admirals-
82 - 2023-12-21435San Antonio Rampage-Tulsa Oilers -
87 - 2023-12-26462Bakersfield Condors-Tulsa Oilers -
90 - 2023-12-29478Tulsa Oilers -Rochester Americans -
93 - 2024-01-01494Springfield Thunderbirds-Tulsa Oilers -
100 - 2024-01-08521Grand Rapids Griffins-Tulsa Oilers -
102 - 2024-01-10534Tulsa Oilers -Toronto Marlies-
104 - 2024-01-12541Tulsa Oilers -Tucson Roadrunners-
107 - 2024-01-15557San Diego Gulls-Tulsa Oilers -
109 - 2024-01-17571Tulsa Oilers -Ontario Reign-
111 - 2024-01-19581Tulsa Oilers -Charlotte Checkers-
113 - 2024-01-21593Tulsa Oilers -San Diego Gulls-
114 - 2024-01-22599Providence Bruins -Tulsa Oilers -
117 - 2024-01-25614Tulsa Oilers -Stockton Heat-
119 - 2024-01-27626Tulsa Oilers -Chicago Wolves-
121 - 2024-01-29638Milwaukee Admirals-Tulsa Oilers -
124 - 2024-02-01654Tulsa Oilers -Bakersfield Condors-
126 - 2024-02-03669Manitoba Moose-Tulsa Oilers -
129 - 2024-02-06686Tulsa Oilers -Utica Comets -
131 - 2024-02-08693Tulsa Oilers -Wilkes-Barre/Scranton Penguins -
132 - 2024-02-09703San Jose Barracuda-Tulsa Oilers -
136 - 2024-02-13723Tulsa Oilers -Rockford IceHogs-
138 - 2024-02-15734Manitoba Moose-Tulsa Oilers -
140 - 2024-02-17746Tulsa Oilers -Grand Rapids Griffins-
142 - 2024-02-19757Tulsa Oilers -Belleville Senators-
144 - 2024-02-21767Tucson Roadrunners-Tulsa Oilers -
146 - 2024-02-23774Tulsa Oilers -Manitoba Moose-
150 - 2024-02-27799Charlotte Checkers-Tulsa Oilers -
152 - 2024-02-29810Tulsa Oilers -Rockford IceHogs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154 - 2024-03-02821Tulsa Oilers -San Jose Barracuda-
157 - 2024-03-05832Toronto Marlies-Tulsa Oilers -
162 - 2024-03-10862Iowa Wild-Tulsa Oilers -
165 - 2024-03-13872Tulsa Oilers -Iowa Wild-
169 - 2024-03-17895Providence Bruins -Tulsa Oilers -
175 - 2024-03-23926Charlotte Checkers-Tulsa Oilers -
181 - 2024-03-29952Syracuse Crunch-Tulsa Oilers -
184 - 2024-04-01966Tulsa Oilers -Iowa Wild-
189 - 2024-04-06990Chicago Wolves-Tulsa Oilers -
193 - 2024-04-101014Bridgeport Sound Tigers-Tulsa Oilers -
195 - 2024-04-121024Tulsa Oilers -Utica Comets -
199 - 2024-04-161038Tulsa Oilers -Stockton Heat-
202 - 2024-04-191054Texas Stars-Tulsa Oilers -
206 - 2024-04-231079Tulsa Oilers -Texas Stars-
207 - 2024-04-241085Cleveland Monsters-Tulsa Oilers -
212 - 2024-04-291111Cleveland Monsters-Tulsa Oilers -
214 - 2024-05-011122Tulsa Oilers -Lehigh Valley Phantoms-
219 - 2024-05-061148Ontario Reign-Tulsa Oilers -
222 - 2024-05-091163Tulsa Oilers -Laval Rocket-
225 - 2024-05-121178Hartford Wolf Pack-Tulsa Oilers -
231 - 2024-05-181206Binghamton Devils-Tulsa Oilers -



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,363,960$ 1,900,000$ 1,900,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,155$ 376,846$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 187 29,614$ 5,537,818$




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