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Bears
GP: 82 | W: 29 | L: 38 | OTL: 15 | P: 73
GF: 163 | GA: 201 | PP%: 18.04% | PK%: 81.72%
GM : JF Langlais | Morale : 50 | Team Overall : 58
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Game Center
Bruins
47-25-10, 104pts
2
FINAL
1 Bears
29-38-15, 73pts
Team Stats
L1StreakL1
28-8-5Home Record16-17-8
19-17-5Home Record13-21-7
5-4-1Last 10 Games4-5-1
2.12Goals Per Game1.99
1.60Goals Against Per Game2.45
15.27%Power Play Percentage18.04%
88.19%Penalty Kill Percentage81.72%
Bears
29-38-15, 73pts
1
FINAL
2 Phantoms
41-33-8, 90pts
Team Stats
L1StreakW4
16-17-8Home Record26-12-3
13-21-7Home Record15-21-5
4-5-1Last 10 Games7-2-1
1.99Goals Per Game2.12
2.45Goals Against Per Game2.06
18.04%Power Play Percentage12.44%
81.72%Penalty Kill Percentage90.68%
Team Leaders
Goals
Mark Kastelic
25
Assists
Alex Vlasic
34
Points
Mark Kastelic
58
Plus/Minus
Mark Kastelic
11
Wins
Daniil Chechelev
29
Save Percentage
Dennis Hildeby
0.889

Team Stats
Goals For
163
1.99 GFG
Shots For
1417
17.28 Avg
Power Play Percentage
18.0%
46 GF
Offensive Zone Start
39.3%
Goals Against
201
2.45 GAA
Shots Against
1511
18.43 Avg
Penalty Kill Percentage
81.7%%
34 GA
Defensive Zone Start
37.8%
Team Info

General ManagerJF Langlais
DivisionEst
ConferenceEst
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,243
Season Tickets300


Roster Info

Pro Team25
Farm Team21
Contract Limit46 / 50
Prospects18


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# 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 Average
1Mark KastelicX100.00807956698475727078636466685650050660231821,667$
2John HaydenXX100.00706562657671726642616066646355050640275800,000$
3Drake CaggiulaXX100.00554768726173706743646259676555050630281980,000$
4Byron FroeseX100.00564565636371716458625758626557050610311850,000$
5Michael Dal ColleXX100.00767690657655565749525469545757050600261750,000$
6Thomas Bordeleau (R)X100.00554069685960616442616253655050050600203916,667$
7Tim SchallerX100.005648676064717161425854555965550505903131,000,000$
8Ryder Korczak (R)X100.00594068645954535447535354575050050550203859,167$
9Alex Vlasic (R)X100.00654772697469616440615568625050050640213916,667$
10Dakota MermisX100.00586259686369696540625466625953050630281655,000$
11Sean DayX100.00665066647165656340615268605350050630241750,000$
12Jack RathboneX100.00584468725862606340575766645250050610231925,000$
13Kaedan Korczak (R)X100.00615262676562616140565361605050050600211795,000$
14Layton Ahac (R)X100.00604568676460585740515161595050050590211897,500$
15Shakir Mukhamadullin (R)X100.00624068676358575740565463595050050590203894,167$
16Kim Nousiainen (R)X100.00544367705659575640515160595050050570213859,167$
Scratches
1Antoine MorandX100.00686685666657614762434359434444050540231778,334$
2Sam MileticXX100.00747194647150514863464362434444050540252894,167$
3Otto Kivenmaki (R)X100.00424079686051594854434044465050050500222560,000$
4Ethan Phillips (R)X100.00373097675449633945353336365454050460213650,000$
TEAM AVERAGE100.0061527267656262594755536057545105059
Filter Tips
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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.
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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 SPAgeContractSalary Average
1Anton Khudobin100.00657070666767696768677179720506303611,100,000$
2Daniil Chechelev (R)100.0062575766615959566059535050050550213650,000$
Scratches
1Kaden Fulcher (R)100.0060575766595756535759535150050540241800,000$
2Dennis Hildeby (R)100.0057575773605655535558535050050540213843,333$
3Colton Point (R)100.0043455695434344474242424440050470241750,000$
TEAM AVERAGE100.005757597358565755565754555205055
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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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
1Philip TomasinoWashingtonLW/RW733229617100221822205215314.55%16175524.0466123219700041685054.30%45300020.70313000474
2Mark KastelicBears (Was)C82253358117552731921946016412.89%16187722.89311142921300021374263.43%155300010.621150011052
3Drake CaggiulaBears (Was)LW/RW791730471160291031574212410.83%7165020.8956112021000011012151.55%16100000.57214000541
4Alex VlasicBears (Was)D82123446-136001378489275813.48%62183722.4181119552080000129210%000000.5001000213
5Thomas BordeleauBears (Was)C82182139-282801221391725212810.47%4151618.493912441850000702044.96%125000000.5136000443
6Jack RathboneBears (Was)D8282735-1648090779016578.89%70180322.0071219402050001128010%000000.3912000005
7Layton AhacBears (Was)D8282331-3421012010845213117.78%59143317.4950513580000412050.00%200000.4300110113
8Kaedan KorczakBears (Was)D8252126-25415103936926487.25%66167420.423912421860000129100%000000.3100001110
9Ryder KorczakBears (Was)C8217623-255601751911044010416.35%14144017.570112420002385050.62%104700000.3202000265
10Shakir MukhamadullinBears (Was)D8241620-30120119947520455.33%63164920.11369411810000125100%000000.2400000030
11Antoine MorandBears (Was)C7571219-32280119677312589.59%9135218.03371018167000040256.33%22900000.2800000012
12Kim NousiainenBears (Was)D8211718-510077723210273.13%51142817.420003350000750050.00%200000.2500000112
13Otto KivenmakiBears (Was)C75235-20401945597503.39%3129617.290111340000170048.10%7900000.0800000001
14Ethan PhillipsBears (Was)RW75123-300022050720.00%2135318.0401111610000720056.19%10500000.0400000001
Team Total or Average1115157274431-19842020140714671384385105411.34%4422206919.794680126341208800010123924753.96%488100030.391053112303432
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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
1Daniil ChechelevBears (Was)822938150.8732.2948976718714760700.70454820413
2Dennis HildebyBears (Was)50000.8892.17830032700000075000
Team Total or Average872938150.8742.294981671901503070548275413


Filter Tips
PriorityTypeDescription
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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 Waiver Possible Contract Type Current Salary Salary Ave RemainingSalary 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
Alex VlasicBears (Was)D212001-06-05Yes198 Lbs6 ft6NoNoNoNo3Pro & Farm916,667$0$0$No916,667$916,667$Link
Antoine MorandBears (Was)C231999-02-18No184 Lbs5 ft11NoNoNoNo1Pro & Farm778,334$0$0$NoLink
Anton Khudobin (1 Way Contract)Bears (Was)G361986-05-07No194 Lbs5 ft11NoNoYesYes1Pro & Farm1,100,000$200,000$0$NoLink
Byron Froese (1 Way Contract)Bears (Was)C311991-03-12No203 Lbs6 ft1NoNoYesYes1Pro & Farm850,000$0$0$NoLink
Colton PointBears (Was)G241998-03-04Yes230 Lbs6 ft5NoNoYesYes1Pro & Farm750,000$0$0$NoLink
Dakota Mermis (1 Way Contract)Bears (Was)D281994-01-05No196 Lbs6 ft0NoNoYesYes1Pro & Farm655,000$0$0$NoLink
Daniil ChechelevBears (Was)G212001-02-23Yes187 Lbs6 ft3NoNoNoNo3Pro & Farm650,000$0$0$No650,000$650,000$Link
Dennis HildebyBears (Was)G212001-08-19Yes234 Lbs6 ft6NoNoNoNo3Pro & Farm843,333$0$0$No843,333$843,333$
Drake Caggiula (1 Way Contract)Bears (Was)LW/RW281994-06-20No176 Lbs5 ft10NoNoYesYes1Pro & Farm980,000$80,000$0$NoLink
Ethan PhillipsBears (Was)RW212001-05-07Yes154 Lbs5 ft9NoNoNoNo3Pro & Farm650,000$0$0$No650,000$650,000$Link
Jack RathboneBears (Was)D231999-05-20No176 Lbs5 ft10NoNoNoNo1Pro & Farm925,000$0$0$NoLink
John Hayden (1 Way Contract)Bears (Was)C/RW271995-02-14No223 Lbs6 ft3NoNoYesYes5Pro & Farm800,000$0$0$No800,000$800,000$800,000$800,000$Link
Kaden FulcherBears (Was)G241998-09-23Yes198 Lbs6 ft4NoNoYesYes1Pro & Farm800,000$0$0$NoLink
Kaedan KorczakBears (Was)D212001-01-29Yes192 Lbs6 ft3NoNoNoNo1Pro & Farm795,000$0$0$NoLink
Kim NousiainenBears (Was)D212000-11-14Yes170 Lbs5 ft9NoNoNoNo3Pro & Farm859,167$0$0$No859,167$859,167$Link
Layton AhacBears (Was)D212001-02-22Yes187 Lbs6 ft2NoNoNoNo1Pro & Farm897,500$0$0$NoLink
Mark KastelicBears (Was)C231999-03-11No233 Lbs6 ft3NoNoNoNo1Pro & Farm821,667$0$0$NoLink
Michael Dal ColleBears (Was)LW/RW261996-06-20No200 Lbs6 ft3NoNoYesYes1Pro & Farm750,000$0$0$NoLink
Otto KivenmakiBears (Was)C222000-03-24Yes172 Lbs5 ft9NoNoNoNo2Pro & Farm560,000$0$0$No560,000$Link
Ryder KorczakBears (Was)C202002-09-23Yes174 Lbs5 ft11NoNoNoNo3Pro & Farm859,167$0$0$No859,167$859,167$
Sam MileticBears (Was)C/LW251997-05-04No196 Lbs6 ft0NoNoYesYes2Pro & Farm894,167$0$0$No894,167$Link
Sean DayBears (Was)D241998-01-09No218 Lbs6 ft3NoNoYesYes1Pro & Farm750,000$0$0$NoLink
Shakir MukhamadullinBears (Was)D202002-01-10Yes179 Lbs6 ft4NoNoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$
Thomas BordeleauBears (Was)C202002-01-03Yes174 Lbs5 ft10NoNoNoNo3Pro & Farm916,667$0$0$No916,667$916,667$
Tim Schaller (1 Way Contract)Bears (Was)LW311990-11-16No205 Lbs6 ft2NoNoYesYes3Pro & Farm1,000,000$100,000$0$No1,000,000$1,000,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2524.08194 Lbs6 ft11.96827,833$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mark KastelicDrake Caggiula40122
2Thomas Bordeleau30122
3Ryder Korczak20122
4Mark Kastelic10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex VlasicJack Rathbone40122
2Kaedan KorczakShakir Mukhamadullin30122
3Layton AhacKim Nousiainen20122
4Alex VlasicJack Rathbone10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mark KastelicDrake Caggiula60122
2Thomas Bordeleau40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex VlasicJack Rathbone60122
2Kaedan KorczakShakir Mukhamadullin40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mark Kastelic60122
2Drake CaggiulaThomas Bordeleau40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex VlasicJack Rathbone60122
2Kaedan KorczakShakir Mukhamadullin40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Alex VlasicJack Rathbone60122
2Mark Kastelic40122Kaedan KorczakShakir Mukhamadullin40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mark Kastelic60122
2Drake CaggiulaThomas Bordeleau40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex VlasicJack Rathbone60122
2Kaedan KorczakShakir Mukhamadullin40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Mark KastelicDrake CaggiulaAlex VlasicJack Rathbone
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mark KastelicDrake CaggiulaAlex VlasicJack Rathbone
Extra Forwards
Normal PowerPlayPenalty Kill
Ryder Korczak, , Ryder Korczak,
Extra Defensemen
Normal PowerPlayPenalty Kill
Layton Ahac, Kim Nousiainen, Kaedan KorczakLayton AhacKim Nousiainen, Kaedan Korczak
Penalty Shots
, Mark Kastelic, Drake Caggiula, Thomas Bordeleau, Ryder Korczak
Goalie
#1 : Daniil Chechelev, #2 :


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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
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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
1Admirals2020000047-31010000023-11010000024-200.00047110057475213304724484777543106367228.57%3166.67%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
2Baby Hawks2110000024-21010000003-31100000021120.500246005747521325472448477753851232600.00%5260.00%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
3Bruins3110010046-2210001004401010000002-230.500459005747521354472448477754615165310110.00%7185.71%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
4Cabaret Lady Mary Ann32000001853110000003212100000153250.8338142201574752135347244847775531521509222.22%6183.33%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
5Caroline40300001515-102010000126-42020000039-610.1255914005747521357472448477757525385815213.33%13376.92%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
6Chiefs2010000146-21010000023-11000000123-110.250461000574752132647244847775304123812325.00%6183.33%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
7Chill2020000035-21010000012-11010000023-100.00036900574752134347244847775299635600.00%3166.67%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
8Comets2020000026-41010000013-21010000013-200.00024600574752133947244847775311210494125.00%50100.00%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
9Cougars30200100610-41010000013-22010010057-210.1676101600574752135447244847775612324110110.00%10100.00%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
10Crunch3020001068-21010000013-22010001055020.3336814005747521383472448477756614127012325.00%5260.00%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
11Heat22000000725110000004221100000030341.000712190157475213434724484777531121038200.00%30100.00%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
12Jayhawks21000001844110000005051000000134-130.750815230157475213684724484777540983533100.00%4175.00%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
13Las Vegas22000000532110000003211100000021141.00058130057475213494724484777537151231500.00%6183.33%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
14Manchots41200010810-22010001024-22110000066040.50081119005747521352472448477757022246613323.08%11190.91%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
15Marlies3020001048-42010001024-21010000024-220.333461000574752133847244847775632312637114.29%60100.00%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
16Minnesota21100000550110000002111010000034-120.5005101500574752133547244847775428123111100.00%4175.00%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
17Monarchs2010001034-1100000103211010000002-220.500347005747521330472448477753411439700.00%20100.00%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
18Monsters31100001710-32010000139-61100000041330.5007132000574752134947244847775641224451119.09%10190.00%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
19Monsters2010000158-31000000134-11010000024-210.250591400574752133847244847775331416319222.22%8187.50%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
20Oceanics2000010135-21000010023-11000000112-120.50033600574752133547244847775291312426116.67%6266.67%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
21Oil Kings2020000026-41010000013-21010000013-200.00023500574752133747244847775368829900.00%3166.67%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
22Phantoms3030000058-31010000023-12020000035-200.000591400574752134547244847775541412488112.50%5260.00%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
23Rocket300011107611000010001-12000101075250.8337111800574752135547244847775571816577114.29%7185.71%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
24Sags2010010014-31000010012-11010000002-210.250123005747521322472448477753882037100.00%90100.00%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
25Seattle2020000037-41010000023-11010000014-300.0003690057475213254724484777547144465240.00%20100.00%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
26Senators32100000844211000006331100000021140.667813210157475213494724484777556985016425.00%4175.00%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
27Sound Tigers42100001990220000006332010000136-350.62591726005747521369472448477757222246618527.78%11372.73%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
28Spiders41101001880200010014402110000044050.6258152301574752135447244847775542723701000.00%7185.71%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
29Stars2010000148-41010000025-31000000123-110.2504610005747521327472448477753796269333.33%3233.33%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
30Thunder330000001156220000007341100000042261.00011182900574752137747244847775692316855240.00%8187.50%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
31Wolf Pack42200000651211000004312110000022040.5006111702574752135647244847775762526611218.33%13284.62%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
Total822238025510163201-38411217014348196-154110210112682105-23730.4451632754380757475213141747244847775151144843214582554618.04%1863481.72%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
_Since Last GM Reset822238025510163201-38411217014348196-154110210112682105-23730.4451632754380757475213141747244847775151144843214582554618.04%1863481.72%01028199251.61%1018191753.10%647115755.92%2021142019595781033521
_Vs Conference441320013348498-142478013324952-320612000023546-11410.466841402240457475213703472448477757972432337961372216.06%1051783.81%01028199251.61%1018191753.10%647115755.92%2021142019595781033521

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8273L116327543814171511448432145807
All Games
GPWLOTWOTL SOWSOLGFGA
82223825510163201
Home Games
GPWLOTWOTL SOWSOLGFGA
41121714348196
Visitor Games
GPWLOTWOTL SOWSOLGFGA
411021112682105
Last 10 Games
WLOTWOTL SOWSOL
450100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2554618.04%1863481.72%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
4724484777557475213
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1028199251.61%1018191753.10%647115755.92%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2021142019595781033521


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
4 - 2023-10-1318Manchots1Bears2BWXXBoxScore
7 - 2023-10-1639Heat2Bears4BWBoxScore
9 - 2023-10-1849Bears2Senators1AWBoxScore
12 - 2023-10-2169Bears5Rocket4AWXBoxScore
15 - 2023-10-2483Marlies1Bears2BWXXBoxScore
16 - 2023-10-2599Bears1Spiders0AWBoxScore
18 - 2023-10-27114Minnesota1Bears2BWBoxScore
20 - 2023-10-29128Sags2Bears1BLXBoxScore
24 - 2023-11-02150Sound Tigers1Bears2BWBoxScore
26 - 2023-11-04166Monsters3Bears2BLXXBoxScore
30 - 2023-11-08191Cabaret Lady Mary Ann2Bears3BWBoxScore
32 - 2023-11-10206Bears3Spiders4ALBoxScore
33 - 2023-11-11216Bears2Sound Tigers4ALBoxScore
36 - 2023-11-14232Las Vegas2Bears3BWBoxScore
40 - 2023-11-18263Monsters6Bears1BLBoxScore
44 - 2023-11-22285Crunch3Bears1BLBoxScore
46 - 2023-11-24298Oil Kings3Bears1BLBoxScore
49 - 2023-11-27326Bears0Sags2ALBoxScore
51 - 2023-11-29339Bears0Monarchs2ALBoxScore
52 - 2023-11-30352Bears2Admirals4ALBoxScore
54 - 2023-12-02367Bears2Las Vegas1AWBoxScore
56 - 2023-12-04378Bears3Jayhawks4ALXXBoxScore
59 - 2023-12-07396Stars5Bears2BLBoxScore
61 - 2023-12-09414Wolf Pack0Bears2BWBoxScore
62 - 2023-12-10422Bears2Baby Hawks1AWBoxScore
66 - 2023-12-14448Bears2Phantoms3ALBoxScore
68 - 2023-12-16468Bears2Chill3ALBoxScore
69 - 2023-12-17475Bears1Caroline4ALBoxScore
72 - 2023-12-20496Sound Tigers2Bears4BWBoxScore
73 - 2023-12-21499Bears4Monsters1AWBoxScore
75 - 2023-12-23521Thunder1Bears3BWBoxScore
79 - 2023-12-27529Bears1Wolf Pack0AWBoxScore
81 - 2023-12-29550Bears1Sound Tigers2ALXXBoxScore
82 - 2023-12-30562Chill2Bears1BLBoxScore
85 - 2024-01-02576Bears3Manchots2AWBoxScore
86 - 2024-01-03587Spiders3Bears2BLXXBoxScore
88 - 2024-01-05603Caroline4Bears1BLBoxScore
90 - 2024-01-07618Monarchs2Bears3BWXXBoxScore
94 - 2024-01-11645Seattle3Bears2BLBoxScore
96 - 2024-01-13653Wolf Pack3Bears2BLBoxScore
97 - 2024-01-14669Bears1Wolf Pack2ALBoxScore
99 - 2024-01-16683Admirals3Bears2BLBoxScore
101 - 2024-01-18696Chiefs3Bears2BLBoxScore
103 - 2024-01-20713Bears2Chiefs3ALXXBoxScore
106 - 2024-01-23734Bears3Minnesota4ALBoxScore
107 - 2024-01-24742Bears2Monsters4ALBoxScore
110 - 2024-01-27760Bears2Stars3ALXXBoxScore
120 - 2024-02-06789Rocket1Bears0BLXBoxScore
122 - 2024-02-08795Bears3Cabaret Lady Mary Ann0AWBoxScore
124 - 2024-02-10808Bears0Bruins2ALBoxScore
125 - 2024-02-11818Comets3Bears1BLBoxScore
127 - 2024-02-13828Monsters4Bears3BLXXBoxScore
131 - 2024-02-17857Bears2Rocket1AWXXBoxScore
134 - 2024-02-20879Spiders1Bears2BWXBoxScore
136 - 2024-02-22894Bears4Thunder2AWBoxScore
138 - 2024-02-24906Bears2Cabaret Lady Mary Ann3ALXXBoxScore
140 - 2024-02-26923Senators3Bears2BLBoxScore
141 - 2024-02-27927Bears3Cougars4ALXBoxScore
144 - 2024-03-01954Phantoms3Bears2BLBoxScore
146 - 2024-03-03969Jayhawks0Bears5BWBoxScore
150 - 2024-03-07998Bears3Manchots4ALBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
152 - 2024-03-091017Baby Hawks3Bears0BLBoxScore
154 - 2024-03-111029Bears1Oceanics2ALXXBoxScore
156 - 2024-03-131043Bears1Oil Kings3ALBoxScore
157 - 2024-03-141056Bears1Seattle4ALBoxScore
159 - 2024-03-161071Bears1Comets3ALBoxScore
161 - 2024-03-181080Bears3Heat0AWBoxScore
163 - 2024-03-201095Marlies3Bears0BLBoxScore
165 - 2024-03-221109Caroline2Bears1BLXXBoxScore
167 - 2024-03-241124Oceanics3Bears2BLXBoxScore
169 - 2024-03-261140Cougars3Bears1BLBoxScore
171 - 2024-03-281155Bears2Marlies4ALBoxScore
173 - 2024-03-301176Bruins2Bears3BWBoxScore
176 - 2024-04-021189Bears1Crunch2ALBoxScore
178 - 2024-04-041206Manchots3Bears0BLBoxScore
179 - 2024-04-051212Bears2Caroline5ALBoxScore
181 - 2024-04-071232Senators0Bears4BWBoxScore
183 - 2024-04-091240Bears2Cougars3ALBoxScore
185 - 2024-04-111255Bears4Crunch3AWXXBoxScore
187 - 2024-04-131275Thunder2Bears4BWBoxScore
189 - 2024-04-151291Bruins2Bears1BLXBoxScore
190 - 2024-04-161299Bears1Phantoms2ALBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4020
Attendance64,48927,492
Attendance PCT78.65%67.05%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2243 - 74.78% 91,592$3,755,280$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,614,422$ 1,531,085$ 1,531,085$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
7,974$ 1,614,422$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 7,974$ 0$




Bears Players Stat Leaders (Regular Season)

# Player Name 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

Bears Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Bears Career Team Stats

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

Bears Players Stat Leaders (Play-Off)

# Player Name 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

Bears Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA