Oklahoma City Barons

GP: 6 | W: 2 | L: 4 | OTL: 0 | P: 4
GF: 16 | GA: 22 | PP%: 16.67% | PK%: 85.29%
DG: Jonathan Legault | Morale : 38 | Moyenne d'Équipe : N/A
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Bryan BickellX100.0052506572975662665050596575687216500
2Carter BancksX100.0068666562667268535050546151505016500
3Jordin TootooXX100.0076506977685065595052566050788012600
4Greg McKeggX100.0076508171705565556259586550515216500
5Jake DowellX100.0059735760736967516450506250606116900
6Alex Schoenborn (R)XX100.0072726062725963505050506050505014700
7Adam Gilmour (R)X100.0059746761745962506150506350505014100
8Chris BigrasX100.0057716277716568632557596150505017600
9Jacob MacDonald (R)X100.0064737261736467602560546651505015100
10Petter GranbergX100.0065506070765765532550506750505016600
11Brett KulakX100.0054506375716367632552506550505016400
12Jake CheliosX100.0057706261706974524559506150505016500
13Trevor CarrickX100.0056706266706869502555555950505015600
Rayé
MOYENNE D'ÉQUIPE100.006363656773626656435353635254551580
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
1John Muse100.006269666667676467666731646516000
2Jeff Zatkoff100.005468577064598958635951737012600
Rayé
MOYENNE D'ÉQUIPE100.00586962686663776365634169681430
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mario Tremblay62707670787137CAN571500,000$


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
1Jake DowellOklahoma City Barons (Edm)C6371011201616319249.68%212020.11224924000000050.00%1000001.6600000101
2Jake CheliosOklahoma City Barons (Edm)D62464208233166.67%38313.861012900000100.00%000001.4400000010
3Jacob MacDonaldOklahoma City Barons (Edm)D6235-5200179153513.33%1613422.441121120000016010.00%000000.7400000010
4Trevor CarrickOklahoma City Barons (Edm)D64154406160466.67%78714.5200000000013100.00%000001.1500000101
5Bryan BickellOklahoma City Barons (Edm)LW6303-1001131561520.00%19315.53000317000020170.00%1000000.6400000000
6Greg McKeggOklahoma City Barons (Edm)C6033-140611156110.00%29315.52011617000020063.64%11000000.6400000000
7Petter GranbergOklahoma City Barons (Edm)D6123-51551510146117.14%911619.42112719000015000.00%000000.5200001000
8Carter BancksOklahoma City Barons (Edm)LW6112-18011892511.11%06611.1600000000000057.14%700000.6000000000
9Adam GilmourOklahoma City Barons (Edm)LW6022-1953611430.00%06510.9800000000000050.00%200000.6100100000
10Alex SchoenbornOklahoma City Barons (Edm)C/LW6011-11001133340.00%09415.71000017000000033.33%900000.2100000000
Stats d'équipe Total ou en Moyenne60162440-684109479122428313.11%4095515.935510381250000502260.81%14800000.8400101222
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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 Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire 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
Adam GilmourOklahoma City Barons (Edm)LW221994-01-28Yes192 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Alex SchoenbornOklahoma City Barons (Edm)C/LW211995-12-11Yes196 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Brett KulakOklahoma City Barons (Edm)D231994-01-05No190 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Bryan BickellOklahoma City Barons (Edm)LW301986-03-09No223 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Carter BancksOklahoma City Barons (Edm)LW271989-08-09No181 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Chris BigrasOklahoma City Barons (Edm)D211995-02-21No190 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Greg McKeggOklahoma City Barons (Edm)C241992-06-17No191 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Jacob MacDonaldOklahoma City Barons (Edm)D231993-02-26Yes201 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Jake CheliosOklahoma City Barons (Edm)D251991-03-08No188 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Jake DowellOklahoma City Barons (Edm)C311985-03-03No200 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Jeff ZatkoffOklahoma City Barons (Edm)G291987-06-09No179 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
John MuseOklahoma City Barons (Edm)G281988-08-01No185 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Jordin TootooOklahoma City Barons (Edm)C/LW331983-02-02No195 Lbs5 ft9NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Petter GranbergOklahoma City Barons (Edm)D241992-08-27No200 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Trevor CarrickOklahoma City Barons (Edm)D221994-07-04No186 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1525.53193 Lbs6 ft12.20380,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake Dowell40122
2Bryan BickellGreg McKeggAlex Schoenborn30122
3Carter BancksAdam Gilmour20122
4Alex SchoenbornJake Dowell10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob MacDonald40122
2Petter Granberg30122
3Jake CheliosTrevor Carrick20122
4Jacob MacDonald10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake Dowell60122
2Bryan BickellGreg McKeggAlex Schoenborn40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob MacDonald60122
2Petter Granberg40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Bryan BickellGreg McKegg40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob MacDonald60122
2Petter Granberg40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Jacob MacDonald60122
240122Petter Granberg40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Bryan BickellGreg McKegg40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob MacDonald60122
2Petter Granberg40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DowellJacob MacDonald
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DowellJacob MacDonald
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Carter Bancks, Adam Gilmour, Carter BancksAdam Gilmour
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jake Chelios, Trevor Carrick, Jake CheliosTrevor Carrick,
Tirs de Pénalité
, , Bryan Bickell, Greg McKegg,
Gardien
#1 : , #2 :


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Texas Stars624000001622-631200000811-331200000811-340.3331629452062711354938462158488610330516.67%34585.29%06616440.24%6015738.22%319931.31%12986164467435
Total624000001622-631200000811-331200000811-340.3331629452062711354938462158488610330516.67%34585.29%06616440.24%6015738.22%319931.31%12986164467435
_Since Last GM Reset624000001622-631200000811-331200000811-340.3331629452062711354938462158488610330516.67%34585.29%06616440.24%6015738.22%319931.31%12986164467435
_Vs Conference624000001622-631200000811-331200000811-340.3331629452062711354938462158488610330516.67%34585.29%06616440.24%6015738.22%319931.31%12986164467435

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
64L3162945135158488610320
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
62400001622
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3120000811
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3120000811
Derniers 10 Matchs
WLOTWOTL SOWSOL
141000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
30516.67%34585.29%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
49384626271
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
6616440.24%6015738.22%319931.31%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12986164467435


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 - 2018-04-085Oklahoma City Barons3Texas Stars2WXSommaire du Match
4 - 2018-04-1013Oklahoma City Barons1Texas Stars3LSommaire du Match
6 - 2018-04-1221Texas Stars2Oklahoma City Barons4WSommaire du Match
8 - 2018-04-1429Texas Stars5Oklahoma City Barons2LSommaire du Match
10 - 2018-04-1637Oklahoma City Barons4Texas Stars6LSommaire du Match
12 - 2018-04-1845Texas Stars4Oklahoma City Barons2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 57,000$ 53,630$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 13 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
12624000001622-631200000811-331200000811-341629452062711354938462158488610330516.67%34585.29%06616440.24%6015738.22%319931.31%12986164467435
Total Séries624000001622-631200000811-331200000811-341629452062711354938462158488610330516.67%34585.29%06616440.24%6015738.22%319931.31%12986164467435