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Bears
GP: 18 | W: 9 | L: 9 | OTL: 0 | P: 18
GF: 70 | GA: 77 | PP%: 20.00% | PK%: 79.38%
GM : Jean-Manuel Estrada | Morale : 41 | Team Overall : 62
Next Games #242 vs Wolfpack
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Game Center
Crunch
7-7-4, 18pts
4
FINAL
8 Bears
9-9-0, 18pts
Team Stats
L1StreakW2
4-3-2Home Record6-3-0
3-4-2Away Record3-6-0
2-6-2Last 10 Games5-5-0
3.89Goals Per Game3.89
4.44Goals Against Per Game4.28
24.18%Power Play Percentage20.00%
76.39%Penalty Kill Percentage79.38%
Penguins
6-12-1, 13pts
3
FINAL
5 Bears
9-9-0, 18pts
Team Stats
L3StreakW2
5-4-0Home Record6-3-0
1-8-1Away Record3-6-0
3-7-0Last 10 Games5-5-0
3.37Goals Per Game3.89
4.53Goals Against Per Game4.28
19.32%Power Play Percentage20.00%
74.74%Penalty Kill Percentage79.38%
Wolfpack
12-7-0, 24pts
2022-01-14
Bears
9-9-0, 18pts
Team Stats
OTW1StreakW2
7-2-0Home Record6-3-0
5-5-0Away Record3-6-0
8-2-0Last 10 Games5-5-0
4.16Goals Per Game3.89
3.32Goals Against Per Game4.28
25.00%Power Play Percentage20.00%
85.56%Penalty Kill Percentage79.38%
Bears
9-9-0, 18pts
2022-01-16
Reign
8-9-2, 18pts
Team Stats
W2StreakL1
6-3-0Home Record3-5-1
3-6-0Away Record5-4-1
5-5-0Last 10 Games5-3-2
3.89Goals Per Game3.89
4.28Goals Against Per Game4.42
20.00%Power Play Percentage21.11%
79.38%Penalty Kill Percentage87.69%
Thunderbirds
9-5-3, 21pts
2022-01-19
Bears
9-9-0, 18pts
Team Stats
SOL1StreakW2
6-2-1Home Record6-3-0
3-3-2Away Record3-6-0
6-2-2Last 10 Games5-5-0
3.88Goals Per Game3.89
3.18Goals Against Per Game4.28
21.74%Power Play Percentage20.00%
83.91%Penalty Kill Percentage79.38%
Team Leaders
Goals
Jake Virtanen
11
Assists
Angelo Esposito
17
Points
Mike Hoffman
24
Plus/Minus
Jakob Lilja
5
Wins
Jake Allen
7
Save Percentage
Jake Allen
0.878

Team Stats
Goals For
70
3.89 GFG
Shots For
606
33.67 Avg
Power Play Percentage
20.0%
14 GF
Offensive Zone Start
36.6%
Goals Against
77
4.28 GAA
Shots Against
602
33.44 Avg
Penalty Kill Percentage
79.4%
20 GA
Defensive Zone Start
37.6%
Team Info

General ManagerJean-Manuel Estrada
CoachGerard Gallant
DivisionMax-Sillig
ConferenceLouis-Magnus
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,785
Season Tickets300


Roster Info

Pro Team34
Farm Team22
Contract Limit56 / 250
Prospects0


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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
1Nick Schmaltz (R)X100.007346807468696872727373646843436931690204975,000$
2Jake Virtanen (R)X100.007439716981607973667175555646436036670202700,000$
3Mike HoffmanX100.007226727473696870736568627161582746670272650,000$
4Brendan Perlini (R)X100.006522817476687166636382537144436023660202700,000$
5Jamie McGinnX100.007832686570656967696769677353522446660281425,000$
6Angelo EspositoX100.006239726362657066787065536950512244640272550,000$
7Zach Stepan (R)X100.006317816966777265646661656945463946640223500,000$
8Austin Wuthrich (R)X100.007625656471587073656163585947463346630233500,000$
9Austin Poganski (R)X100.006440727167557361586066595846434946620203500,000$
10Colton SceviourX100.006536716567616066645369556753512446620271500,000$
11Brett Bulmer (R)X100.006336636668596462626566555648483340610241500,000$
12Logan O'Connor (R)X100.006535746465605970636066506646446346610202500,000$
13Nikolay Prokhorkin (R)X100.005334745853616260747662505748473646600231450,000$
14Trent Frederic (R)X100.005727875861796046636149675640407635590182500,000$
15Colby Cave (R)X100.004925695966525656485571445844443546560221360,000$
16Joey Laleggia (R)X100.006641897260596668417158786156493446680242900,000$
17Mikko Vainonen (R)X100.006329796768666570536461725254443546660221300,000$
18Taylor Aronson (R)X100.006621767059717070566665685959543446660251250,000$
19Derek Forbort (R)X100.006537677066736863556955726051483446650241500,000$
20Gianluca Curcuruto (R)X100.007034726961666665526556655752463946640223450,000$
21Tommy Vannelli (R)X100.006031857061646265457350694947445246640213400,000$
22Michael Prapavessis (R)X100.006033826660606560407045694945435435630202500,000$
23Emil Johansson (R)X100.005644736462666359506258634748435046610203500,000$
24Ryan Graves (R)X100.005529746461616561406344654445444338600211450,000$
25Caleb Jones (R)X100.006939555771664156295246653741417123590191500,000$
Scratches
1Jakob Lilja (R)X100.005835726668625568655955576352512943600231500,000$
2Warren Foegele (R)X100.004733916470766958596449605742426220600202500,000$
3Vincent Dunn (R)X95.466238725867527063646353565443434933580211360,000$
4Jesper Pettersson (R)X100.005540676162636157626363475551454035580213450,000$
5Mackenze Stewart (R)X100.005038655856595855605964445144434933560203450,000$
6Jakob Stenqvist (R)X100.005123685938405855326335463140406422500182500,000$
7Arvid Henrikson (R)X100.004822575656524243245047492640406733490182500,000$
TEAM AVERAGE99.86623373656463646357646059564846463962
Filter Tips
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# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Jake Allen100.00707574636779756770816957553346710261950,000$
2Joni Ortio100.00667767697374727771686151503846700251900,000$
Scratches
TEAM AVERAGE100.0068767166707774727175655453364671
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Gerard Gallant65666472386557CAN13550,000$


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.
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")
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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
1Mike HoffmanBears (Was)LW18101424-2120372769234114.49%1339421.924489620004521057.14%282011011.2212000120
2Angelo EspositoBears (Was)C1841721-14010343635101911.43%636820.490886600001290055.92%54957001.1401011010
3Jake VirtanenBears (Was)RW17111021-3240321974225814.86%1233019.413141356000190044.26%6186011.2700000113
4Zach StepanBears (Was)C1871219060323441122917.07%1035219.581348510001762048.56%34859001.0801000210
5Joey LaleggiaBears (Was)D183131654025504113137.32%4251228.45134667000092000.00%01329000.6200000020
6Jamie McGinnBears (Was)LW185914-116038295071810.00%1033618.721236490004711037.50%16128000.8312000101
7Austin WuthrichBears (Was)RW187512-622030953182313.21%825914.44112944000020153.85%1362200.9211000011
8Jakob LiljaBears (Was)LW1736951201713418227.32%520512.07000020003260150.00%441000.8800000001
9Vincent DunnBears (Was)C1554940023141741129.41%217411.61000000000321143.42%7615001.0300000110
10Brendan PerliniBears (Was)LW17628300171035122617.14%21559.15000040001101160.00%5101001.0300000001
11Derek ForbortBears (Was)D18077-71201936218110.00%1937420.80000246000056000.00%0513000.3700000000
12Mikko VainonenBears (Was)D1834708021433720108.11%2848627.04123363000287100.00%0817000.2900000000
13Nick SchmaltzBears (Was)RW16347-34017244412386.82%1130318.992249620000170065.52%29105000.4600000001
14Taylor AronsonBears (Was)D18167-24024302114144.76%1539521.95112550000062100.00%01415000.3500000001
15Austin PoganskiBears (Was)RW1832521002362952610.34%31769.8210126000000042.86%773000.5700000100
16Nikolay ProkhorkinBears (Was)LW18325-560862451212.50%21367.560000000001000.00%421000.7300000000
17Colby CaveBears (Was)C18112-31007722750.00%11488.2500003000070043.06%7212000.2700000000
18Colton SceviourBears (Was)RW18112-32012132511164.00%21347.4800000000010075.00%441000.3011000000
19Michael PrapavessisBears (Was)D120223005146650.00%81129.340000000002000.00%015000.3600000000
20Brett BulmerBears (Was)RW131014001220150.00%0241.8500000000000025.00%401000.8300000000
21Tommy VannelliBears (Was)D18011-220394420.00%5955.290000000008000.00%022000.2100000000
22Trent FredericBears (Was)C18011-200261110.00%2643.56000020000270040.91%2201000.3100000000
23Caleb JonesBears (Was)D1000000000000.00%011.400000000000000.00%000000.0000000000
24Emil JohanssonBears (Was)D18000000100000.00%0100.610000000002000.00%000000.0000000000
25Gianluca CurcurutoBears (Was)D18000-212018129670.00%1318810.500000000000000.00%017000.0000000000
26Jesper PetterssonBears (Was)D11000000000000.00%000.030000000000000.00%000000.0000000000
27Mackenze StewartBears (Was)D10000000000000.00%000.050000000000000.00%000000.0000000000
28Ryan GravesBears (Was)D12000000010000.00%040.400000000000000.00%001000.0000000000
29Logan O'ConnorBears (Was)RW18000100001010.00%080.4700000000000050.00%200000.0000000000
Team Total or Average46577123200-152061044645068222341111.29%219575612.3816274378636000176808451.21%1244139153220.6948011799
Filter Tips
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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
1Jake AllenBears (Was)147700.8784.127722053436209020.8758144100
2Joni OrtioBears (Was)62200.8664.19315002216473100.0000414000
Team Total or Average209900.8754.1410882075600282120.87581818100


Filter Tips
PriorityTypeDescription
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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 NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary 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
Angelo EspositoBears (Was)C271989-01-01No190 Lbs6 ft0NoNoNo2Pro & Farm550,000$429,000$0$0$No550,000$
Arvid HenriksonBears (Was)D181998-01-01Yes212 Lbs6 ft5NoNoNo2Pro & Farm500,000$390,000$0$0$No500,000$
Austin PoganskiBears (Was)RW201996-01-01Yes198 Lbs5 ft11NoNoNo3Pro & Farm500,000$390,000$0$0$No500,000$500,000$
Austin WuthrichBears (Was)RW231993-01-01Yes190 Lbs6 ft1NoNoNo3Pro & Farm500,000$390,000$0$0$No500,000$500,000$
Brendan PerliniBears (Was)LW201996-01-01Yes211 Lbs6 ft3NoNoNo2Pro & Farm700,000$546,000$0$0$No800,000$
Brett BulmerBears (Was)RW241992-01-01Yes212 Lbs6 ft4NoNoNo1Pro & Farm500,000$390,000$0$0$No
Caleb JonesBears (Was)D191997-01-01Yes194 Lbs6 ft1NoNoNo1Pro & Farm500,000$390,000$0$0$No
Colby CaveBears (Was)C221994-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm360,000$280,800$0$0$No
Colton SceviourBears (Was)RW271989-01-01No201 Lbs5 ft11NoNoNo1Pro & Farm500,000$390,000$0$0$No
Derek ForbortBears (Was)D241992-01-01Yes212 Lbs6 ft4NoNoNo1Pro & Farm500,000$390,000$0$0$No
Emil JohanssonBears (Was)D201996-01-01Yes189 Lbs5 ft11NoNoNo3Pro & Farm500,000$390,000$0$0$No500,000$500,000$
Gianluca CurcurutoBears (Was)D221994-01-01Yes195 Lbs6 ft0NoNoNo3Pro & Farm450,000$351,000$0$0$No500,000$550,000$
Jake AllenBears (Was)G261990-01-01No195 Lbs6 ft2NoNoNo1Pro & Farm950,000$741,000$0$0$No
Jake VirtanenBears (Was)RW201996-01-01Yes226 Lbs6 ft1NoNoNo2Pro & Farm700,000$546,000$0$0$No800,000$
Jakob LiljaBears (Was)LW231993-01-01Yes196 Lbs6 ft1NoNoNo1Pro & Farm500,000$390,000$0$0$No
Jakob StenqvistBears (Was)D181998-01-01Yes179 Lbs6 ft2NoNoNo2Pro & Farm500,000$390,000$0$0$No500,000$
Jamie McGinnBears (Was)LW281988-01-01No205 Lbs6 ft1NoNoNo1Pro & Farm425,000$331,500$0$0$No
Jesper PetterssonBears (Was)D211995-01-01Yes189 Lbs5 ft9NoNoNo3Pro & Farm450,000$351,000$0$0$No450,000$450,000$
Joey LaleggiaBears (Was)D241992-01-01Yes182 Lbs5 ft9NoNoNo2Pro & Farm900,000$702,000$0$0$No900,000$
Joni OrtioBears (Was)G251991-01-01No185 Lbs6 ft1NoNoNo1Pro & Farm900,000$702,000$0$0$No
Logan O'ConnorBears (Was)RW201996-01-01Yes174 Lbs6 ft0NoNoNo2Pro & Farm500,000$390,000$0$0$No500,000$
Mackenze StewartBears (Was)D201996-01-01Yes230 Lbs6 ft4NoNoNo3Pro & Farm450,000$351,000$0$0$No450,000$450,000$
Michael PrapavessisBears (Was)D201996-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm500,000$390,000$0$0$No500,000$
Mike HoffmanBears (Was)LW271989-01-01No185 Lbs6 ft0NoNoNo2Pro & Farm650,000$507,000$0$0$No650,000$
Mikko VainonenBears (Was)D221994-01-01Yes222 Lbs6 ft2NoNoNo1Pro & Farm300,000$234,000$0$0$No
Nick SchmaltzBears (Was)RW201996-01-01Yes177 Lbs6 ft0NoNoNo4Pro & Farm975,000$760,500$0$0$No1,100,000$1,600,000$2,500,000$
Nikolay ProkhorkinBears (Was)LW231993-01-01Yes190 Lbs6 ft2NoNoNo1Pro & Farm450,000$351,000$0$0$No
Ryan GravesBears (Was)D211995-01-01Yes225 Lbs6 ft4NoNoNo1Pro & Farm450,000$351,000$0$0$No
Taylor AronsonBears (Was)D251991-01-01Yes196 Lbs6 ft1NoNoNo1Pro & Farm250,000$195,000$0$0$No
Tommy VannelliBears (Was)D211995-01-01Yes185 Lbs6 ft2NoNoNo3Pro & Farm400,000$312,000$0$0$No600,000$600,000$
Trent FredericBears (Was)C181998-01-01Yes203 Lbs6 ft2NoNoNo2Pro & Farm500,000$390,000$0$0$No500,000$
Vincent DunnBears (Was)C211995-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm360,000$280,800$0$0$No
Warren FoegeleBears (Was)LW201996-01-01Yes198 Lbs6 ft2NoNoNo2Pro & Farm500,000$390,000$0$0$No500,000$
Zach StepanBears (Was)C221994-01-01Yes165 Lbs5 ft11NoNoNo3Pro & Farm500,000$390,000$0$0$No500,000$500,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3422.09196 Lbs6 ft11.88534,412$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mike HoffmanAngelo EspositoNick Schmaltz40113
2Jamie McGinnZach StepanJake Virtanen30122
3Brendan PerliniTrent FredericAustin Wuthrich20122
4Nikolay ProkhorkinColby CaveAustin Poganski10131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joey LaleggiaTaylor Aronson40122
2Mikko VainonenDerek Forbort30122
3Gianluca CurcurutoTommy Vannelli20131
4Joey LaleggiaMikko Vainonen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mike HoffmanAngelo EspositoNick Schmaltz60113
2Jamie McGinnZach StepanJake Virtanen40113
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Joey LaleggiaTaylor Aronson60122
2Mikko VainonenDerek Forbort40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Angelo EspositoNick Schmaltz60122
2Zach StepanMike Hoffman40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Joey LaleggiaTaylor Aronson60122
2Mikko VainonenDerek Forbort40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Zach Stepan60122Joey LaleggiaMikko Vainonen60140
2Jamie McGinn40122Taylor AronsonDerek Forbort40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Angelo EspositoMike Hoffman60122
2Zach StepanNick Schmaltz40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joey LaleggiaTaylor Aronson60122
2Mikko VainonenDerek Forbort40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Mike HoffmanAngelo EspositoNick SchmaltzJoey LaleggiaTaylor Aronson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mike HoffmanZach StepanNick SchmaltzJoey LaleggiaTaylor Aronson
Extra Forwards
Normal PowerPlayPenalty Kill
Nick Schmaltz, Mike Hoffman, Jake VirtanenNick Schmaltz, Mike HoffmanNick Schmaltz
Extra Defensemen
Normal PowerPlayPenalty Kill
Joey Laleggia, Taylor Aronson, Mikko VainonenTaylor AronsonJoey Laleggia, Mikko Vainonen
Penalty Shots
Nick Schmaltz, Mike Hoffman, Jake Virtanen, Angelo Esposito, Jamie McGinn
Goalie
#1 : Jake Allen, #2 : Joni Ortio


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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
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
1Crunch211000001110121100000111010000000000020.500111829002022264781912271801677173744100.00%16381.25%022843852.05%22745050.44%15630950.49%367197391178331158
2Devils20200000610-41010000035-21010000035-200.0006915102022264631912271801674218487114.29%4175.00%022843852.05%22745050.44%15630950.49%367197391178331158
3Griffins11000000422000000000001100000042221.00047110020222643719122718016311210222150.00%5180.00%022843852.05%22745050.44%15630950.49%367197391178331158
4Little Stars1010000045-1000000000001010000045-100.0004610002022264261912271801637111227200.00%6266.67%022843852.05%22745050.44%15630950.49%367197391178331158
5Penguins21100000880110000005321010000035-220.5008132100202226463191227180165522164612325.00%8275.00%022843852.05%22745050.44%15630950.49%367197391178331158
6Rampage11000000321110000003210000000000021.00034700202226432191227180162796267114.29%30100.00%022843852.05%22745050.44%15630950.49%367197391178331158
7Sound Tigers21100000710-31010000017-61100000063320.500713200020222646519122718016522023531218.33%9188.89%022843852.05%22745050.44%15630950.49%367197391178331158
8Wolfpack1010000035-2000000000001010000035-200.000347102022264421912271801636101421400.00%7357.14%022843852.05%22745050.44%15630950.49%367197391178331158
9Wolves622000202425-1310000201293312000001216-480.66724426600202226420019122718016213857812723730.43%39782.05%022843852.05%22745050.44%15630950.49%367197391178331158
Total1879000207077-7943000203536-1936000003541-6180.5007011618620202226460619122718016602207204414701420.00%972079.38%022843852.05%22745050.44%15630950.49%367197391178331158
_Since Last GM Reset1879000207077-7943000203536-1936000003541-6180.5007011618620202226460619122718016602207204414701420.00%972079.38%022843852.05%22745050.44%15630950.49%367197391178331158
_Vs Conference1769000206675-9943000203536-1826000003139-8160.4716610917520202226456919122718016571195194392681319.12%921979.35%022843852.05%22745050.44%15630950.49%367197391178331158
_Vs Division1035000203745-8512000201621-5523000002124-3100.50037641011020222643281912271801633912610922842921.43%52982.69%022843852.05%22745050.44%15630950.49%367197391178331158

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1818W27011618660660220720441420
All Games
GPWLOTWOTL SOWSOLGFGA
187900207077
Home Games
GPWLOTWOTL SOWSOLGFGA
94300203536
Visitor Games
GPWLOTWOTL SOWSOLGFGA
93600003541
Last 10 Games
WLOTWOTL SOWSOL
450010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
701420.00%972079.38%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
191227180162022264
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
22843852.05%22745050.44%15630950.49%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
367197391178331158


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
1 - 2021-11-306Wolves1Bears2BWR1BoxScore
5 - 2021-12-0421Bears4Wolves7ALBoxScore
7 - 2021-12-0627Bears3Devils5ALBoxScore
9 - 2021-12-0840Wolves4Bears5BWXXR1BoxScore
12 - 2021-12-1158Bears6Sound Tigers3AWR1BoxScore
14 - 2021-12-1367Crunch6Bears3BLBoxScore
18 - 2021-12-1786Bears5Wolves3AWR1BoxScore
20 - 2021-12-1993Bears3Wolfpack5ALBoxScore
21 - 2021-12-20103Wolves4Bears5BWXXR1BoxScore
25 - 2021-12-24121Devils5Bears3BLBoxScore
28 - 2021-12-27140Bears4Little Stars5ALBoxScore
29 - 2021-12-28147Rampage2Bears3BWBoxScore
32 - 2021-12-31159Bears3Wolves6ALR1BoxScore
34 - 2022-01-02172Sound Tigers7Bears1BLR1BoxScore
37 - 2022-01-05186Bears4Griffins2AWBoxScore
39 - 2022-01-07198Bears3Penguins5ALBoxScore
40 - 2022-01-08206Crunch4Bears8BWBoxScore
43 - 2022-01-11221Penguins3Bears5BWBoxScore
46 - 2022-01-14242Wolfpack-Bears-
48 - 2022-01-16256Bears-Reign-
51 - 2022-01-19269Thunderbirds-Bears-
54 - 2022-01-22284Bears-Penguins-
56 - 2022-01-24295Bears-Devils-
58 - 2022-01-26303Senators-Bears-
60 - 2022-01-28315Bears-Sound Tigers-
62 - 2022-01-30327Devils-Bears-
66 - 2022-02-03347Little Stars-Bears-
68 - 2022-02-05360Bears-Phantoms-
70 - 2022-02-07369Bears-Devils-
71 - 2022-02-08380Eagles-Bears-
74 - 2022-02-11396Bears-Punishers-
76 - 2022-02-13404Bears-Little Stars-
78 - 2022-02-15411Icehogs-Bears-
80 - 2022-02-17424Bears-Griffins-
82 - 2022-02-19432Bears-Heat-
84 - 2022-02-21439Phantoms-Bears-
87 - 2022-02-24458Bears-Icehogs-
89 - 2022-02-26465Bears-Wolfpack-
90 - 2022-02-27470Marlies-Bears-
93 - 2022-03-02490Griffins-Bears-
97 - 2022-03-06510Wolves-Bears-
100 - 2022-03-09526Bears-Monsters-
103 - 2022-03-12538Heat-Bears-
106 - 2022-03-15553Bears-Admirals-
108 - 2022-03-17563Sound Tigers-Bears-
110 - 2022-03-19573Bears-Barracuda-
114 - 2022-03-23590Moose-Bears-
119 - 2022-03-28613Rampage-Bears-
121 - 2022-03-30626Bears-Comets-
123 - 2022-04-01638Wolves-Bears-
126 - 2022-04-04650Bears-Moose-
128 - 2022-04-06665Barracuda-Bears-
131 - 2022-04-09682Bears-Eagles-
132 - 2022-04-10692Monsters-Bears-
136 - 2022-04-14713Reign-Bears-
138 - 2022-04-16724Bears-Wolfpack-
140 - 2022-04-18733Bears-Eagles-
141 - 2022-04-19742Devils-Bears-
145 - 2022-04-23763Bears-Comets-
146 - 2022-04-24769Sound Tigers-Bears-
150 - 2022-04-28789Reign-Bears-
152 - 2022-04-30800Bears-Sound Tigers-
154 - 2022-05-02812Bears-Crunch-
156 - 2022-05-04820Eagles-Bears-
158 - 2022-05-06834Bears-Condors-
159 - 2022-05-07845Rocket-Bears-
Trade Deadline --- Trades can’t be done after this day is simulated!
163 - 2022-05-11865Bears-Rocket-
165 - 2022-05-13872Bears-Marlies-
166 - 2022-05-14879Condors-Bears-
169 - 2022-05-17895Admirals-Bears-
171 - 2022-05-19903Bears-Marlies-
176 - 2022-05-24925Comets-Bears-
177 - 2022-05-25935Bears-Senators-
181 - 2022-05-29951Punishers-Bears-
183 - 2022-05-31965Bears-Thunderbirds-
186 - 2022-06-03980Crunch-Bears-
190 - 2022-06-07998Bears-Rampage-
192 - 2022-06-091005Thunderbirds-Bears-
197 - 2022-06-141024Punishers-Bears-
198 - 2022-06-151028Bears-Wolves-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance16,7078,359
Attendance PCT92.82%92.88%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
31 2785 - 92.84% 82,849$745,637$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
447,973$ 1,817,000$ 1,134,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
9,085$ 326,973$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,568,305$ 156 11,835$ 1,846,260$




Bears 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 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