Oklahoma City Barons
GP: 9 | W: 6 | L: 2 | OTL: 1 | P: 13
GF: 26 | GA: 20 | PP%: 16.36% | PK%: 88.64%
GM : | Morale : 40 | Team Overall : 62
Next Games #161 vs Peoria Rivermen
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
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
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Jordan WealX100.0058388668667980668065646769756854406502810$
2Matt PuempelX100.0062458964788279625761616365736769406302710$
3Sam CarrickX100.0062498464757973627361635962757351406302810$
4Dominic ToninatoX100.0063478261798078596558606259716657406202610$
5Liam O'BrienX100.0067657459808891585457566059716659406202610$
6Sam AnasX100.0057378365618788636864585663736758406202710$
7Antti SuomelaX100.0058418862707877616660595862716651406102610$
8Jack RodewaldX100.0061438960787374585359596158716659406102610$
9Luke JohnsonX100.0056398761687672627460596362716658406102610$
10Scott WilsonX100.0056429063687270625360616462756852406102810$
11Matt BartkowskiX100.0062478761778380593058586251807253406403210$
12Dan RenoufX100.0067637258838791563057525945716659406302610$
13Paul LaDueX100.0064458861807873623060585955756851406302810$
14Sami NikuX100.0058428866737569643065586354676456406302410$
15Maxim LamarcheX100.0073518556878283543053515745756857406202810$
16Anton LindholmX100.0058419058718077573056565952716653406102610$
17Guillaume BriseboisX100.0059438959757772583057566052656366406102310$
Scratches
1Brandon DuhaimeX100.0063587758778789565357545558656360406002310$
2Joel KivirantaX100.0058428961687771605258595759676452406002410$
3Tyrell GoulbourneX100.0059518359717375585056575559716661405902610$
4Brent PedersenX100.0068388955828079535052545653696556405802510$
5Johan SodergranX100.0069448654858382535152525654615964405802110$
6Bryan MooreX100.0061476453746869515550505253716659405502610$
7Stefan LeblancX100.0059458857717776563055525448676461405902410$
8Michael KimX100.0059428753727473513052505445696559405802510$
TEAM AVERAGE100.00614685607579785849585759567166574061
Filter Tips
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Pheonix Copley100.00778078867675777675777675815440760
2Adin Hill100.00777573937675777675777667716440750
Scratches
1Kevin Poulin100.00695654826867696867696878845540680
TEAM AVERAGE100.0074706887737274737274737379584073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Todd Nelson70816571757075CAN504500,000$


Filter Tips
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
# Player Name Team NamePOSGP 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
1Jordan WealOklahoma City Barons (EDM)C959147208223272615.63%223225.802245400002351151.05%23900001.2100000113
2Matt PuempelOklahoma City Barons (EDM)LW95383100815244820.83%020022.301125440000191054.55%2200000.8000000010
3Sam CarrickOklahoma City Barons (EDM)C9718-210012252431529.17%222725.2931410380000342154.94%16200000.7000000300
4Sam AnasOklahoma City Barons (EDM)RW91674401010114109.09%014315.90022346000000040.00%1000000.9800000001
5Sami NikuOklahoma City Barons (EDM)D9156-2804514257.14%619121.271341141000030100.00%000000.6300000010
6Matt BartkowskiOklahoma City Barons (EDM)D92242140127102920.00%521924.41213845000029000.00%000000.3600000000
7Dan RenoufOklahoma City Barons (EDM)D9033-1801683280.00%819321.49022341000031000.00%000000.3100000000
8Guillaume BriseboisOklahoma City Barons (EDM)D9033240272320.00%812313.6700000000013000.00%000000.4900000000
9Liam O'BrienOklahoma City Barons (EDM)LW9033-21610171011240.00%016818.77033742000000035.71%1400000.3600200000
10Maxim LamarcheOklahoma City Barons (EDM)D903321001315000.00%411612.920002300001000.00%000000.5200000000
11Paul LaDueOklahoma City Barons (EDM)D903336014613480.00%719421.560111046000033000.00%000000.3100000000
12Scott WilsonOklahoma City Barons (EDM)LW9303020615113927.27%012013.4000003000071033.33%300000.5000000100
13Jack RodewaldOklahoma City Barons (EDM)RW9022-140510131100.00%116718.64000442000000063.64%1100000.2400000000
14Luke JohnsonOklahoma City Barons (EDM)C9112-10014101110.00%0788.70000110000020155.17%2900000.5100000001
15Anton LindholmOklahoma City Barons (EDM)D9101-1201120150.00%2444.950000100007000.00%000000.4500000010
16Antti SuomelaOklahoma City Barons (EDM)C9000-240232110.00%1657.24000000000200043.06%7200000.0000000000
17Dominic ToninatoOklahoma City Barons (EDM)C9000000713164110.00%013014.51000000000200048.42%9500000.0000000000
Team Total or Average15326447011104101381622034312812.81%46261717.11916256945000022916350.68%65700000.5300200545
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Pheonix CopleyOklahoma City Barons (EDM)96210.8832.1852400191630000.000090001
2Adin HillOklahoma City Barons (EDM)10000.8333.751600160000.000009000
Team Total or Average106210.8822.2254100201690000.000099001


Filter Tips
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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Adin HillOklahoma City Barons (EDM)G245/11/1996No202 Lbs6 ft6NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Anton LindholmOklahoma City Barons (EDM)D2611/29/1994No191 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Antti SuomelaOklahoma City Barons (EDM)C263/17/1994No180 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Brandon DuhaimeOklahoma City Barons (EDM)RW235/22/1997No200 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Brent PedersenOklahoma City Barons (EDM)LW257/5/1995No210 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Bryan MooreOklahoma City Barons (EDM)LW265/25/1994No199 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Dan RenoufOklahoma City Barons (EDM)D266/1/1994No198 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Dominic ToninatoOklahoma City Barons (EDM)C263/9/1994No191 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Guillaume BriseboisOklahoma City Barons (EDM)D237/21/1997No175 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Jack RodewaldOklahoma City Barons (EDM)RW262/14/1994No189 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Joel KivirantaOklahoma City Barons (EDM)LW243/23/1996No180 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Johan SodergranOklahoma City Barons (EDM)RW2111/20/1999No205 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Jordan WealOklahoma City Barons (EDM)C284/15/1992No180 Lbs5 ft10NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Kevin PoulinOklahoma City Barons (EDM)G304/12/1990No206 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Liam O'BrienOklahoma City Barons (EDM)LW267/29/1994No213 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Luke JohnsonOklahoma City Barons (EDM)C269/19/1994No177 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Matt BartkowskiOklahoma City Barons (EDM)D326/4/1988No198 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Matt PuempelOklahoma City Barons (EDM)LW271/24/1993No201 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Maxim LamarcheOklahoma City Barons (EDM)D287/11/1992No218 Lbs6 ft3NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Michael KimOklahoma City Barons (EDM)D256/28/1995No200 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Paul LaDueOklahoma City Barons (EDM)D289/6/1992No200 Lbs6 ft2NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Pheonix CopleyOklahoma City Barons (EDM)G291/18/1992No200 Lbs6 ft4NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Sam AnasOklahoma City Barons (EDM)RW276/1/1993No163 Lbs5 ft8NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Sam CarrickOklahoma City Barons (EDM)C282/4/1992No205 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Sami NikuOklahoma City Barons (EDM)D2410/10/1996No176 Lbs6 ft1NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Scott WilsonOklahoma City Barons (EDM)LW284/24/1992No177 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Stefan LeblancOklahoma City Barons (EDM)D243/16/1996No185 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Tyrell GoulbourneOklahoma City Barons (EDM)LW261/26/1994No195 Lbs5 ft11NoNoNo1Pro & Farm0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2826.14193 Lbs6 ft11.000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matt PuempelJordan WealSam Anas40122
2Liam O'BrienSam CarrickJack Rodewald30122
3Scott WilsonDominic ToninatoJordan Weal20122
4Sam CarrickAntti SuomelaMatt Puempel10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt BartkowskiPaul LaDue40122
2Sami NikuDan Renouf30122
3Maxim LamarcheGuillaume Brisebois20122
4Anton LindholmMatt Bartkowski10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matt PuempelJordan WealSam Anas60122
2Liam O'BrienSam CarrickJack Rodewald40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt BartkowskiPaul LaDue60122
2Sami NikuDan Renouf40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jordan WealSam Carrick60122
2Matt PuempelDominic Toninato40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt BartkowskiPaul LaDue60122
2Sami NikuDan Renouf40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jordan Weal60122Matt BartkowskiPaul LaDue60122
2Sam Carrick40122Sami NikuDan Renouf40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jordan WealSam Carrick60122
2Matt PuempelDominic Toninato40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt BartkowskiPaul LaDue60122
2Sami NikuDan Renouf40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Matt PuempelJordan WealSam AnasMatt BartkowskiPaul LaDue
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Matt PuempelJordan WealSam AnasMatt BartkowskiPaul LaDue
Extra Forwards
Normal PowerPlayPenalty Kill
Luke Johnson, Scott Wilson, Antti SuomelaLuke Johnson, Scott WilsonAntti Suomela
Extra Defensemen
Normal PowerPlayPenalty Kill
Maxim Lamarche, Guillaume Brisebois, Anton LindholmMaxim LamarcheGuillaume Brisebois, Anton Lindholm
Penalty Shots
Jordan Weal, Sam Carrick, Matt Puempel, Dominic Toninato, Sam Anas
Goalie
#1 : Pheonix Copley, #2 : Adin Hill
Custom OT Lines Forwards
Jordan Weal, Sam Carrick, Matt Puempel, Dominic Toninato, Sam Anas, Liam O'Brien, Liam O'Brien, Scott Wilson, Antti Suomela, Luke Johnson, Jack Rodewald
Custom OT Lines Defensemen
Matt Bartkowski, Paul LaDue, Sami Niku, Dan Renouf, Maxim Lamarche


Filter Tips
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
OverallHomeVisitor
# VS Team 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 Heat11000000211110000002110000000000021.000235001151003686536311866184125.00%30100.00%013327548.36%13024852.42%7013253.03%2151442126711457
2Charlotte Checkers21000100330210001003300000000000030.7503580011510052865363135923281500.00%8187.50%013327548.36%13024852.42%7013253.03%2151442126711457
3Connecticut Whale11000000514000000000001100000051421.0005914001151001486536311338206116.67%3166.67%013327548.36%13024852.42%7013253.03%2151442126711457
4Houston Aeros1010000025-3000000000001010000025-300.00023500115100188653631187610700.00%30100.00%013327548.36%13024852.42%7013253.03%2151442126711457
5Providence Bruins11000000312110000003120000000000021.0003360011510019865363111514155240.00%70100.00%013327548.36%13024852.42%7013253.03%2151442126711457
6Syracuse Crunch11000000624000000000001100000062421.000611170011510027865363122310168337.50%5260.00%013327548.36%13024852.42%7013253.03%2151442126711457
7Texas Stars11000000321110000003210000000000021.0003690011510024865363128323156116.67%80100.00%013327548.36%13024852.42%7013253.03%2151442126711457
8Wilkes-Barre/Scranton Penguins1010000025-3000000000001010000025-300.00024600115100138653631241014164125.00%7185.71%013327548.36%13024852.42%7013253.03%2151442126711457
Total96200100262065400010011744220000015132130.7222644700011510020386536311694610413855916.36%44588.64%013327548.36%13024852.42%7013253.03%2151442126711457
_Since Last GM Reset96200100262065400010011744220000015132130.7222644700011510020386536311694610413855916.36%44588.64%013327548.36%13024852.42%7013253.03%2151442126711457
_Vs Conference531001001011-1430001008621010000025-370.700101727001151001308653631992558713226.25%22195.45%013327548.36%13024852.42%7013253.03%2151442126711457

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
913W12644702031694610413800
All Games
GPWLOTWOTL SOWSOLGFGA
96201002620
Home Games
GPWLOTWOTL SOWSOLGFGA
5400100117
Visitor Games
GPWLOTWOTL SOWSOLGFGA
42200001513
Last 10 Games
WLOTWOTL SOWSOL
620100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
55916.36%44588.64%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8653631115100
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
13327548.36%13024852.42%7013253.03%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2151442126711457


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2021-01-0611Charlotte Checkers1Oklahoma City Barons2WBoxScore
8 - 2021-01-1236Charlotte Checkers2Oklahoma City Barons1LXBoxScore
13 - 2021-01-1755Oklahoma City Barons5Connecticut Whale1WBoxScore
16 - 2021-01-2066Oklahoma City Barons6Syracuse Crunch2WBoxScore
18 - 2021-01-2278Oklahoma City Barons2Houston Aeros5LBoxScore
19 - 2021-01-2384Abbotsford Heat1Oklahoma City Barons2WBoxScore
23 - 2021-01-27103Texas Stars2Oklahoma City Barons3WBoxScore
27 - 2021-01-31122Oklahoma City Barons2Wilkes-Barre/Scranton Penguins5LBoxScore
29 - 2021-02-02137Providence Bruins1Oklahoma City Barons3WBoxScore
34 - 2021-02-07161Peoria Rivermen-Oklahoma City Barons-
36 - 2021-02-09169Oklahoma City Barons-San Antonio Rampage-
39 - 2021-02-12187Oklahoma City Barons-Texas Stars-
41 - 2021-02-14197Oklahoma City Barons-Charlotte Checkers-
43 - 2021-02-16204Charlotte Checkers-Oklahoma City Barons-
47 - 2021-02-20230Oklahoma City Barons-Abbotsford Heat-
49 - 2021-02-22237St. John's-Oklahoma City Barons-
53 - 2021-02-26255Oklahoma City Barons-Worcester Sharks-
55 - 2021-02-28270Rockford IceHogs-Oklahoma City Barons-
59 - 2021-03-04289Hamilton Bulldogs-Oklahoma City Barons-
61 - 2021-03-06298Oklahoma City Barons-Grand Rapids Griffins-
65 - 2021-03-10321Bridgeport Sound Tigers-Oklahoma City Barons-
70 - 2021-03-15348Oklahoma City Barons-Springfield Falcons-
72 - 2021-03-17356Oklahoma City Barons-Charlotte Checkers-
73 - 2021-03-18362Albany Devils-Oklahoma City Barons-
76 - 2021-03-21383Adirondack Phantoms-Oklahoma City Barons-
78 - 2021-03-23394Oklahoma City Barons-Milwaukee Admirals-
80 - 2021-03-25401Oklahoma City Barons-Norfolk Admirals-
84 - 2021-03-29422Chicago Wolves-Oklahoma City Barons-
88 - 2021-04-02446Rochester Americans-Oklahoma City Barons-
90 - 2021-04-04452Oklahoma City Barons-Rochester Americans-
93 - 2021-04-07472Oklahoma City Barons-Binghamton Senators-
95 - 2021-04-09480Toronto Marlies-Oklahoma City Barons-
97 - 2021-04-11490Oklahoma City Barons-Peoria Rivermen-
100 - 2021-04-14510Portland Pirates-Oklahoma City Barons-
102 - 2021-04-16523Oklahoma City Barons-Manchester Monarchs-
104 - 2021-04-18536Oklahoma City Barons-Albany Devils-
106 - 2021-04-20548Chicago Wolves-Oklahoma City Barons-
109 - 2021-04-23560Oklahoma City Barons-Chicago Wolves-
112 - 2021-04-26577St. John's-Oklahoma City Barons-
118 - 2021-05-02605San Antonio Rampage-Oklahoma City Barons-
122 - 2021-05-06626Oklahoma City Barons-Hershey Bears-
124 - 2021-05-08637San Antonio Rampage-Oklahoma City Barons-
128 - 2021-05-12656Oklahoma City Barons-Providence Bruins-
131 - 2021-05-15666Oklahoma City Barons-Abbotsford Heat-
132 - 2021-05-16674Worcester Sharks-Oklahoma City Barons-
137 - 2021-05-21696Oklahoma City Barons-Texas Stars-
138 - 2021-05-22705Manchester Monarchs-Oklahoma City Barons-
144 - 2021-05-28733Charlotte Checkers-Oklahoma City Barons-
146 - 2021-05-30746Oklahoma City Barons-St. John's-
150 - 2021-06-03765Texas Stars-Oklahoma City Barons-
152 - 2021-06-05775Oklahoma City Barons-Connecticut Whale-
156 - 2021-06-09795Milwaukee Admirals-Oklahoma City Barons-
160 - 2021-06-13818Grand Rapids Griffins-Oklahoma City Barons-
164 - 2021-06-17844Oklahoma City Barons-Houston Aeros-
166 - 2021-06-19849Houston Aeros-Oklahoma City Barons-
171 - 2021-06-24877Binghamton Senators-Oklahoma City Barons-
173 - 2021-06-26885Oklahoma City Barons-Portland Pirates-
177 - 2021-06-30908Providence Bruins-Oklahoma City Barons-
179 - 2021-07-02919Oklahoma City Barons-Wilkes-Barre/Scranton Penguins-
182 - 2021-07-05938Norfolk Admirals-Oklahoma City Barons-
186 - 2021-07-09957Oklahoma City Barons-Hamilton Bulldogs-
188 - 2021-07-11969Oklahoma City Barons-Lake Erie Monsters-
189 - 2021-07-12975Wilkes-Barre/Scranton Penguins-Oklahoma City Barons-
193 - 2021-07-16996Oklahoma City Barons-Rockford IceHogs-
194 - 2021-07-171005Houston Aeros-Oklahoma City Barons-
199 - 2021-07-221030Abbotsford Heat-Oklahoma City Barons-
201 - 2021-07-241044Oklahoma City Barons-San Antonio Rampage-
204 - 2021-07-271061Oklahoma City Barons-Chicago Wolves-
Trade Deadline --- Trades can’t be done after this day is simulated!
205 - 2021-07-281066Hershey Bears-Oklahoma City Barons-
208 - 2021-07-311084Oklahoma City Barons-Adirondack Phantoms-
210 - 2021-08-021095Connecticut Whale-Oklahoma City Barons-
213 - 2021-08-051119Oklahoma City Barons-Lake Erie Monsters-
215 - 2021-08-071128Connecticut Whale-Oklahoma City Barons-
216 - 2021-08-081136Oklahoma City Barons-Toronto Marlies-
219 - 2021-08-111152Oklahoma City Barons-Syracuse Crunch-
221 - 2021-08-131161Springfield Falcons-Oklahoma City Barons-
223 - 2021-08-151175Oklahoma City Barons-Bridgeport Sound Tigers-
226 - 2021-08-181193Oklahoma City Barons-Toronto Marlies-
228 - 2021-08-201199Peoria Rivermen-Oklahoma City Barons-
235 - 2021-08-271226Oklahoma City Barons-Bridgeport Sound Tigers-
238 - 2021-08-301240Syracuse Crunch-Oklahoma City Barons-
245 - 2021-09-061268Lake Erie Monsters-Oklahoma City Barons-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
36 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 215 2,024$ 435,160$




OverallHomeVisitor
Year 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
Regular Season
201682323807221262267-541181704011143137641142103210119130-118526245571751093857526540842931860259375463917683195717.87%2385078.99%31518291152.15%1414278750.74%706132953.12%1951130918936371104550
201782293803525212246-3441171701213111116-541122102312101130-297821237959135065776524180830789754256970580019723336419.22%3366480.95%31399283549.35%1472289250.90%650127850.86%1909126719776481087536
2018824922034313122377541241002320166123434125120111114611432115312564876350103108953010094310201019261677572220933147925.16%3125781.73%01589314550.52%1491291951.08%706136451.76%1970134419186101066530
201982293304646274281-741161502332142137541131802314132144-1286274490764310105837827780940940855279581651018302384318.07%2195574.89%11565300952.01%1541301351.15%691137150.40%1999139819255921056527
196200100262065400010011744220000015132132644700011510020386536311694610413855916.36%44588.64%013327548.36%13024852.42%7013253.03%2151442126711457
Total Regular Season337145133017181113108610513516979590997657352053168667408947513531-18377108619323018141211371363313110638636083743348910742309627757801125925220.02%114923179.90%762041217550.96%60481185951.00%2823547451.57%804554647926255644292202
Playoff
20182012800000755223119200000442321936000003129224751322071303328146870248231208579168169506741520.27%711677.46%034673347.20%34171847.49%14231145.66%472323473149257126
Total Playoff2012800000755223119200000442321936000003129224751322071303328146870248231208579168169506741520.27%711677.46%034673347.20%34171847.49%14231145.66%472323473149257126