Oklahoma City Barons

GP: 63 | W: 27 | L: 31 | OTL: 5 | P: 59
GF: 159 | GA: 173 | PP%: 16.24% | PK%: 82.61%
DG: Jonathan Legault | Morale : 44 | Moyenne d'Équipe : N/A
Prochain matchs #969 vs San Antonio Rampage
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Bryan BickellX100.0052506572975662665050596575687216400
2Carter BancksX100.0068666562667268535050546151505016400
3Garnet HathawayXX100.0059505768785364565162566450505016400
4Greg McKeggX100.0076508171705565556259586550515216400
5Jake DowellX100.0059735760736967516450506250606117000
6Alex Schoenborn (R)XX100.0072726062725963505050506050505015100
7Adam Gilmour (R)X100.0059746761745962506150506350505013800
8Chris BigrasX100.0057716277716568632557596150505016400
9Jacob MacDonald (R)X100.0064737261736467602560546651505014700
10Petter GranbergX100.0065506070765765532550506750505016400
11Brett KulakX100.0054506375716367632552506550505015700
12Jake CheliosX100.0057706261706974524559506150505016400
13Trevor CarrickX100.0056706266706869502555555950505015600
Rayé
MOYENNE D'ÉQUIPE100.006163646774626656435453635252531590
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 Muse100.006269666667676467666731646515400
Rayé
1Jeff Zatkoff100.005468577064598958635951737012000
2Steve Michalek100.006969657971696770707031686613700
MOYENNE D'ÉQUIPE100.00626963726765736566653868671370
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
1Bryan BickellOklahoma City Barons (Edm)LW54152641131002089174008.62%1396117.80714214822100021042062.35%17000000.8514000223
2Chris BigrasOklahoma City Barons (Edm)D54103141-676010366148006.76%47120622.33619251042542132222100.00%000000.6800000413
3Jacob MacDonaldOklahoma City Barons (Edm)D47102838-172109761830012.05%53105522.47101222542160221201200.00%000000.7200020130
4Greg McKeggOklahoma City Barons (Edm)C5418173510540871221440012.50%694517.5031013332171015983159.50%103200000.7412000361
5Jake DowellOklahoma City Barons (Edm)C54191231-177420154931420013.38%2104219.3181018402440000205055.68%17600000.5900103431
6Petter GranbergOklahoma City Barons (Edm)D546212729801276389006.74%57109720.325914592420112200210.00%000000.4900000102
7Brett KulakOklahoma City Barons (Edm)D48621270455684489006.74%5291819.134913621831121168200.00%000000.5900100201
8Trevor CarrickOklahoma City Barons (Edm)D634192301151513650370010.81%62100716.002027291011122000.00%000000.4600110123
9Garnet HathawayOklahoma City Barons (Edm)C/LW54813211300517190008.89%377814.4303316840000571051.62%58500000.5412000012
10Jake CheliosOklahoma City Barons (Edm)D545141915208446390012.82%4189916.6643725830000690050.00%400000.4200000102
11Carter BancksOklahoma City Barons (Edm)LW541171846957662880012.50%870313.030003270000201258.62%5800000.5113000204
12Seth GriffithEdmonton OilersC/LW2371118-41203742460015.22%252923.032791812110141162046.94%24500100.6803000023
13Adam GilmourOklahoma City Barons (Edm)LW47581362602631410012.20%862113.210001130000541063.29%7900000.4200000011
14Alex SchoenbornOklahoma City Barons (Edm)C/LW473912135551101944006.82%476316.2326812186000000044.44%4500000.3100100011
15Yanni GourdeEdmonton OilersC/LW12651192023562009.68%523319.5013414481017373060.00%27500000.9401000102
Stats d'équipe Total ou en Moyenne7191332423753179060117889413160010.11%3631276417.75541051594962175751225149525456.43%266900100.59415433222229
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
1Steve MichalekOklahoma City Barons (Edm)48251750.9012.2827412710410460100.66721480730
2John MuseOklahoma City Barons (Edm)30000.9371.4682002320000.0000014000
Stats d'équipe Total ou en Moyenne51251750.9022.2528232710610780100.667214814730


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$500,000$
Garnet HathawayOklahoma City Barons (Edm)C/LW251991-11-22No210 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
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
Petter GranbergOklahoma City Barons (Edm)D241992-08-27No200 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Steve MichalekOklahoma City Barons (Edm)G231993-08-05No197 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
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
1624.88194 Lbs6 ft12.31362,500$



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 MacDonaldChris Bigras40122
2Petter Granberg30122
3Jake CheliosTrevor Carrick20122
4Jacob MacDonaldChris Bigras10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake Dowell60122
2Bryan BickellGreg McKeggAlex Schoenborn40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob MacDonaldChris Bigras60122
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 MacDonaldChris Bigras60122
2Petter Granberg40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Jacob MacDonaldChris Bigras60122
240122Petter Granberg40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Bryan BickellGreg McKegg40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob MacDonaldChris Bigras60122
2Petter Granberg40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DowellJacob MacDonaldChris Bigras
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DowellJacob MacDonaldChris Bigras
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
1Abbotsford Heat3120000058-31010000012-12110000046-220.33351015005851449745424895563810922346622418.18%15286.67%0960192649.84%847186545.42%43388349.04%155210791512454755380
2Adirondack Phantoms2110000025-3110000002021010000005-520.5002460158514494354248955638401029391715.88%11281.82%0960192649.84%847186545.42%43388349.04%155210791512454755380
3Albany Devils41300000611-53120000069-31010000002-220.2506111701585144967542489556389426487531516.13%24387.50%0960192649.84%847186545.42%43388349.04%155210791512454755380
4Binghampton Senateurs2110000058-31010000037-41100000021120.500591400585144954542489556386516344312325.00%17476.47%0960192649.84%847186545.42%43388349.04%155210791512454755380
5Bridgeport Sound Tigers210000014311000000112-11100000031230.75048120058514494754248955638369224514214.29%90100.00%0960192649.84%847186545.42%43388349.04%155210791512454755380
6Charlotte Checkers22000000835110000004311100000040441.00081523015851449685424895563836926507457.14%11190.91%0960192649.84%847186545.42%43388349.04%155210791512454755380
7Chicago Wolves503010011418-41010000012-1402010011316-330.30014274110585144917954248955638191605213638410.53%17476.47%0960192649.84%847186545.42%43388349.04%155210791512454755380
8Connecticut Whale2200000014410110000006241100000082641.000142842005851449795424895563841924555360.00%11281.82%0960192649.84%847186545.42%43388349.04%155210791512454755380
9Grand Rapids Griffins1010000035-2000000000001010000035-200.000369005851449245424895563833610214250.00%4250.00%0960192649.84%847186545.42%43388349.04%155210791512454755380
10Hamilton Bulldogs30300000311-82020000038-51010000003-300.0003580058514494854248955638632438561815.56%18477.78%0960192649.84%847186545.42%43388349.04%155210791512454755380
11Hershey Bears41300000513-82020000015-42110000048-420.250581300585144966542489556381233278662428.33%27677.78%0960192649.84%847186545.42%43388349.04%155210791512454755380
12Houston Aeros20101000710-320101000710-30000000000020.500713200058514495254248955638551344469222.22%10460.00%0960192649.84%847186545.42%43388349.04%155210791512454755380
13Lake Erie Monsters11000000615110000006150000000000021.0006111700585144937542489556381541022100.00%4175.00%0960192649.84%847186545.42%43388349.04%155210791512454755380
14Manchester Monarchs11000000422000000000001100000042221.0004812005851449405424895563827101230400.00%60100.00%0960192649.84%847186545.42%43388349.04%155210791512454755380
15Milwaukee Admirals21100000651110000004221010000023-120.5006121800585144953542489556385215184217317.65%7271.43%0960192649.84%847186545.42%43388349.04%155210791512454755380
16Norfolk Admirals2200000011110110000008081100000031241.0001117280158514497054248955638491122626350.00%110100.00%3960192649.84%847186545.42%43388349.04%155210791512454755380
17Peoria Rivermen2020000037-41010000013-21010000024-200.0003580058514495654248955638591043471417.14%18288.89%0960192649.84%847186545.42%43388349.04%155210791512454755380
18Providence Bruins2010010048-41000010045-11010000003-310.250471100585144934542489556386715264110110.00%13469.23%0960192649.84%847186545.42%43388349.04%155210791512454755380
19Rochester Americans1010000013-2000000000001010000013-200.000123005851449325424895563822316188112.50%7271.43%0960192649.84%847186545.42%43388349.04%155210791512454755380
20Rockford IceHogs422000001011-131200000710-31100000031240.50010182800585144996542489556389937459626623.08%14285.71%0960192649.84%847186545.42%43388349.04%155210791512454755380
21San Antonio Rampage1000010023-1000000000001000010023-110.50024600585144923542489556381898334125.00%4250.00%0960192649.84%847186545.42%43388349.04%155210791512454755380
22Springfield Falcons1010000034-11010000034-10000000000000.000358005851449245424895563817217208225.00%6183.33%0960192649.84%847186545.42%43388349.04%155210791512454755380
23St-John Ice Caps20001010752100000103211000100043141.0007101700585144952542489556385421283315213.33%14378.57%1960192649.84%847186545.42%43388349.04%155210791512454755380
24Syracuse Crunch210000014311000000123-11100000020230.750481201585144938542489556384811244110330.00%10280.00%0960192649.84%847186545.42%43388349.04%155210791512454755380
25Texas Stars30101010651100000102112010100044040.667691500585144949542489556387427615018316.67%28389.29%0960192649.84%847186545.42%43388349.04%155210791512454755380
26Toronto Marlies22000000927220000009270000000000041.000916250158514497954248955638381840559333.33%19194.74%1960192649.84%847186545.42%43388349.04%155210791512454755380
Total63213104223159173-14321016011228890-2311115031017183-12590.468159288447175851449160554248955638164147088413983946416.24%3686482.61%6960192649.84%847186545.42%43388349.04%155210791512454755380
28Wilkes-Barre Penguins30300000410-61010000023-12020000027-500.00046100058514497154248955638812749712328.70%20385.00%1960192649.84%847186545.42%43388349.04%155210791512454755380
29Worchester Sharks2110000034-11010000024-21100000010120.5003690158514495054248955638351426392000.00%13284.62%0960192649.84%847186545.42%43388349.04%155210791512454755380
_Since Last GM Reset63213104223159173-14321016011228890-2311115031017183-12590.468159288447175851449160554248955638164147088413983946416.24%3686482.61%6960192649.84%847186545.42%43388349.04%155210791512454755380
_Vs Conference32917031118392-9166801010454411639021013848-10280.43883153236125851449870542489556388642574457381953517.95%1763281.82%1960192649.84%847186545.42%43388349.04%155210791512454755380

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6359L415928844716051641470884139817
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6321314223159173
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32101611228890
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
31111531017183
Derniers 10 Matchs
WLOTWOTL SOWSOL
271000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3946416.24%3686482.61%6
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
542489556385851449
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
960192649.84%847186545.42%43388349.04%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
155210791512454755380


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
1 - 2017-10-014Albany Devils3Oklahoma City Barons1LSommaire du Match
4 - 2017-10-0421Oklahoma City Barons4Chicago Wolves5LSommaire du Match
5 - 2017-10-0536Oklahoma City Barons3Chicago Wolves5LSommaire du Match
8 - 2017-10-0848Rockford IceHogs5Oklahoma City Barons3LSommaire du Match
10 - 2017-10-1063Oklahoma City Barons1Hershey Bears6LSommaire du Match
12 - 2017-10-1276Oklahoma City Barons2Abbotsford Heat5LSommaire du Match
14 - 2017-10-1482Oklahoma City Barons4Chicago Wolves3WXSommaire du Match
15 - 2017-10-1593Hershey Bears1Oklahoma City Barons0LSommaire du Match
17 - 2017-10-17115Rockford IceHogs3Oklahoma City Barons1LSommaire du Match
19 - 2017-10-19128Oklahoma City Barons2Texas Stars1WXSommaire du Match
20 - 2017-10-20139Oklahoma City Barons2Milwaukee Admirals3LSommaire du Match
22 - 2017-10-22150Hershey Bears4Oklahoma City Barons1LSommaire du Match
24 - 2017-10-24172Hamilton Bulldogs4Oklahoma City Barons1LSommaire du Match
28 - 2017-10-28192Oklahoma City Barons3Rockford IceHogs1WSommaire du Match
29 - 2017-10-29204Albany Devils0Oklahoma City Barons1WSommaire du Match
32 - 2017-11-01222Oklahoma City Barons1Wilkes-Barre Penguins5LSommaire du Match
33 - 2017-11-02235Toronto Marlies0Oklahoma City Barons4WSommaire du Match
34 - 2017-11-03251Oklahoma City Barons0Adirondack Phantoms5LSommaire du Match
36 - 2017-11-05262Oklahoma City Barons2Peoria Rivermen4LSommaire du Match
37 - 2017-11-06271Texas Stars1Oklahoma City Barons2WXXSommaire du Match
39 - 2017-11-08288Oklahoma City Barons0Albany Devils2LSommaire du Match
40 - 2017-11-09298St-John Ice Caps2Oklahoma City Barons3WXXSommaire du Match
42 - 2017-11-11317Oklahoma City Barons2Chicago Wolves3LXXSommaire du Match
44 - 2017-11-13330Hamilton Bulldogs4Oklahoma City Barons2LSommaire du Match
46 - 2017-11-15352Oklahoma City Barons1Worchester Sharks0WSommaire du Match
47 - 2017-11-16359Connecticut Whale2Oklahoma City Barons6WSommaire du Match
50 - 2017-11-19383Oklahoma City Barons4Manchester Monarchs2WSommaire du Match
52 - 2017-11-21388Rockford IceHogs2Oklahoma City Barons3WSommaire du Match
53 - 2017-11-22408Lake Erie Monsters1Oklahoma City Barons6WSommaire du Match
56 - 2017-11-25423Oklahoma City Barons3Bridgeport Sound Tigers1WSommaire du Match
58 - 2017-11-27441Toronto Marlies2Oklahoma City Barons5WSommaire du Match
60 - 2017-11-29462Oklahoma City Barons2Syracuse Crunch0WSommaire du Match
61 - 2017-11-30472Norfolk Admirals0Oklahoma City Barons8WSommaire du Match
63 - 2017-12-02487Oklahoma City Barons4St-John Ice Caps3WXSommaire du Match
64 - 2017-12-03502Bridgeport Sound Tigers2Oklahoma City Barons1LXXSommaire du Match
66 - 2017-12-05513Oklahoma City Barons0Providence Bruins3LSommaire du Match
70 - 2017-12-09533Providence Bruins5Oklahoma City Barons4LXSommaire du Match
74 - 2017-12-13558Syracuse Crunch3Oklahoma City Barons2LXXSommaire du Match
76 - 2017-12-15573Oklahoma City Barons8Connecticut Whale2WSommaire du Match
77 - 2017-12-16587Abbotsford Heat2Oklahoma City Barons1LSommaire du Match
81 - 2017-12-20607Oklahoma City Barons1Rochester Americans3LSommaire du Match
82 - 2017-12-21618Peoria Rivermen3Oklahoma City Barons1LSommaire du Match
88 - 2017-12-27644Worchester Sharks4Oklahoma City Barons2LSommaire du Match
89 - 2017-12-28657Oklahoma City Barons4Charlotte Checkers0WSommaire du Match
91 - 2017-12-30672Oklahoma City Barons3Norfolk Admirals1WSommaire du Match
92 - 2017-12-31680Chicago Wolves2Oklahoma City Barons1LSommaire du Match
94 - 2018-01-02696Oklahoma City Barons2San Antonio Rampage3LXSommaire du Match
95 - 2018-01-03710Charlotte Checkers3Oklahoma City Barons4WSommaire du Match
100 - 2018-01-08732Binghampton Senateurs7Oklahoma City Barons3LSommaire du Match
102 - 2018-01-10752Oklahoma City Barons2Binghampton Senateurs1WSommaire du Match
104 - 2018-01-12765Adirondack Phantoms0Oklahoma City Barons2WSommaire du Match
105 - 2018-01-13776Oklahoma City Barons3Hershey Bears2WSommaire du Match
106 - 2018-01-14792Albany Devils6Oklahoma City Barons4LSommaire du Match
110 - 2018-01-18813Oklahoma City Barons2Texas Stars3LSommaire du Match
111 - 2018-01-19824Springfield Falcons4Oklahoma City Barons3LSommaire du Match
114 - 2018-01-22848Milwaukee Admirals2Oklahoma City Barons4WSommaire du Match
115 - 2018-01-23860Oklahoma City Barons2Abbotsford Heat1WSommaire du Match
118 - 2018-01-26878Oklahoma City Barons0Hamilton Bulldogs3LSommaire du Match
119 - 2018-01-27888Houston Aeros5Oklahoma City Barons6WXSommaire du Match
121 - 2018-01-29908Wilkes-Barre Penguins3Oklahoma City Barons2LSommaire du Match
122 - 2018-01-30922Oklahoma City Barons3Grand Rapids Griffins5LSommaire du Match
124 - 2018-02-01938Houston Aeros5Oklahoma City Barons1LSommaire du Match
125 - 2018-02-02949Oklahoma City Barons1Wilkes-Barre Penguins2LSommaire du Match
130 - 2018-02-07969San Antonio Rampage-Oklahoma City Barons-
133 - 2018-02-10992Portland Pirates-Oklahoma City Barons-
135 - 2018-02-121006Oklahoma City Barons-Toronto Marlies-
136 - 2018-02-131008Oklahoma City Barons-Rochester Americans-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2018-02-161029Peoria Rivermen-Oklahoma City Barons-
141 - 2018-02-181037Oklahoma City Barons-Milwaukee Admirals-
143 - 2018-02-201058Hershey Bears-Oklahoma City Barons-
144 - 2018-02-211068Oklahoma City Barons-Houston Aeros-
146 - 2018-02-231085Oklahoma City Barons-Springfield Falcons-
147 - 2018-02-241091Oklahoma City Barons-Lake Erie Monsters-
148 - 2018-02-251102Grand Rapids Griffins-Oklahoma City Barons-
150 - 2018-02-271119Oklahoma City Barons-Portland Pirates-
151 - 2018-02-281124Oklahoma City Barons-Lake Erie Monsters-
153 - 2018-03-021136Charlotte Checkers-Oklahoma City Barons-
155 - 2018-03-041157San Antonio Rampage-Oklahoma City Barons-
159 - 2018-03-081179Oklahoma City Barons-Rockford IceHogs-
161 - 2018-03-101187Manchester Monarchs-Oklahoma City Barons-
163 - 2018-03-121197Oklahoma City Barons-Grand Rapids Griffins-
167 - 2018-03-161219Rochester Americans-Oklahoma City Barons-



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
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
420,332$ 58,000$ 58,510$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 44,571$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 42 3,302$ 138,684$




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
1263213104223159173-14321016011228890-2311115031017183-1259159288447175851449160554248955638164147088413983946416.24%3686482.61%6960192649.84%847186545.42%43388349.04%155210791512454755380
Total Saison Régulière63213104223159173-14321016011228890-2311115031017183-1259159288447175851449160554248955638164147088413983946416.24%3686482.61%6960192649.84%847186545.42%43388349.04%155210791512454755380