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Bears
GP: 24 | W: 13 | L: 10 | OTL: 1 | P: 27
GF: 102 | GA: 98 | PP%: 23.16% | PK%: 87.72%
GM : Jean-Manuel Estrada | Morale : 43 | Team Overall : 64
Next Games #308 vs Heat
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Game Center
Bears
13-10-1, 27pts
4
FINAL
6 Comets
12-8-2, 26pts
Team Stats
L2StreakW2
4-6-1Home Record7-3-1
9-4-0Away Record5-5-1
5-4-1Last 10 Games6-4-0
4.25Goals Per Game4.36
4.08Goals Against Per Game4.09
23.16%Power Play Percentage22.67%
87.72%Penalty Kill Percentage76.92%
Comets
12-8-2, 26pts
5
FINAL
3 Bears
13-10-1, 27pts
Team Stats
W2StreakL2
7-3-1Home Record4-6-1
5-5-1Away Record9-4-0
6-4-0Last 10 Games5-4-1
4.36Goals Per Game4.25
4.09Goals Against Per Game4.08
22.67%Power Play Percentage23.16%
76.92%Penalty Kill Percentage87.72%
Heat
9-11-3, 21pts
2023-12-07
Bears
13-10-1, 27pts
Team Stats
L1StreakL2
3-7-1Home Record4-6-1
6-4-2Away Record9-4-0
4-5-1Last 10 Games5-4-1
3.61Goals Per Game4.25
4.22Goals Against Per Game4.25
15.46%Power Play Percentage23.16%
74.53%Penalty Kill Percentage87.72%
Bears
13-10-1, 27pts
2023-12-10
Marlies
6-11-4, 16pts
Team Stats
L2StreakL1
4-6-1Home Record2-7-2
9-4-0Away Record4-4-2
5-4-1Last 10 Games4-4-2
4.25Goals Per Game3.52
4.08Goals Against Per Game3.52
23.16%Power Play Percentage18.29%
87.72%Penalty Kill Percentage76.47%
Condors
13-9-1, 27pts
2023-12-11
Bears
13-10-1, 27pts
Team Stats
W3StreakL2
8-3-0Home Record4-6-1
5-6-1Away Record9-4-0
7-2-1Last 10 Games5-4-1
4.30Goals Per Game4.25
4.26Goals Against Per Game4.25
21.51%Power Play Percentage23.16%
80.00%Penalty Kill Percentage87.72%
Team Leaders
Goals
Kerby Rychel
15
Assists
Kerby Rychel
20
Points
Kerby Rychel
35
Plus/Minus
Emil Johansson
6
Wins
Jake Allen
13
Save Percentage
Jake Allen
0.88

Team Stats
Goals For
102
4.25 GFG
Shots For
802
33.42 Avg
Power Play Percentage
23.2%
22 GF
Offensive Zone Start
36.7%
Goals Against
98
4.08 GAA
Shots Against
775
32.29 Avg
Penalty Kill Percentage
87.7%%
7 GA
Defensive Zone Start
33.9%
Team Info

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


Arena Info

Capacity3,000
Attendance2,826
Season Tickets300


Roster Info

Pro Team34
Farm Team19
Contract Limit53 / 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
1Kerby Rychel (R)X100.008549727974638279707576677259544450730244950,000$
2Nicolas Aube-Kubel (R)X100.007937727375697978707679716254484352720224950,000$
3Joshua Leivo (R)X100.006726807377777875747278637058503749710251900,000$
4Sam CarrickX100.007738757471648073707673736767583249710262800,000$
5A.J. JenksX100.007627717368717773747076706759562549700281800,000$
6Austin Wuthrich (R)X100.007625686770637178706866626450502849660251500,000$
7Cole Smith (R)X100.007347855668626179707166616349504449660231500,000$
8Logan O'Connor (R)X100.007038806670636174666769547148464949650224500,000$
9Adam Lowry (R)X100.006536716967677665646569566549493346640254900,000$
10Nikolay Prokhorkin (R)X100.005737776160656565748062556152512949640251275,000$
11Vincent Dunn (R)X100.006638776569567470697163616345484149640232500,000$
12Nicholas Caamano (R)X100.005843706360606364646959606942426219610204500,000$
13Colby Cave (R)X100.005126726271556160516075535848482819600241250,000$
14Blake Speers (R)X100.006135645668585362546675425543435119590214900,000$
15Mikko Vainonen (R)X100.006729807174727170546962725665502939690242650,000$
16Gianluca Curcuruto (R)X100.007334777464696969596960706156513349680241550,000$
17Tommy Vannelli (R)X100.005931877268707270527859735757484349680231600,000$
18Michael Prapavessis (R)X100.006533847065676967477253735548474549670224500,000$
19Emil Johansson (R)X100.005947776665676662566863685251464149640221500,000$
20Jacob Bryson (R)X100.006034717160586581348248644245464649640211500,000$
21Jesper Pettersson (R)X100.006145726465686362656869536053473124630231450,000$
22Kristians Rubins (R)X100.005739766358595761276247724647475519610211500,000$
23Mackenze Stewart (R)X100.005642686259636158636568495346453819600221450,000$
24Mario Ferraro (R)X100.005530795861656458296539674042435319600201500,000$
25Will Reilly (R)X100.004233767562456066227457514545444819600211500,000$
Scratches
1Christian Dvorak (R)X89.888042847371717772687176727561485239720221950,000$
2Isaac Ratcliffe (R)X100.006629754463676358546172475941417020580191500,000$
3Kirill Maksimov (R)X100.006024745273536261615465425141416320560191500,000$
4David Farrance (R)X100.005633715757635858366556664941416120590191500,000$
5Zack Hayes (R)X100.006232575668634949245446513641416420540191500,000$
6Jakob Stenqvist (R)X100.005626716242456061376842513742424920540204500,000$
7Arvid Henrikson (R)X100.005226606161574447285654543142425220540204500,000$
TEAM AVERAGE99.68643574656663666655686361575047443664
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 Allen96.00697172636881776869777166612749710282750,000$
2Artyom Zagidulin100.00666064746458555557576342446046590234900,000$
Scratches
TEAM AVERAGE98.0068666869667066626367675453444865
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Gerard Gallant65666472386557CAN31550,000$


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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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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
1Kerby RychelBears (Was)LW24152035-7195533397325815.46%1351121.33591420800000492063.89%361210001.3712001222
2Sam CarrickBears (Was)C2491928-860465173143612.33%1251421.42391214800004541050.65%7661210111.0900000211
3Nicolas Aube-KubelBears (Was)RW24111223-6155522876164414.47%1348320.1615611800003261056.82%441911010.9502100112
4A.J. JenksBears (Was)LW2451621-422053306022258.33%642017.520553660002182055.56%1888001.0001000011
5Joshua LeivoBears (Was)RW2411819-460252175123214.67%1142117.5823516660003270160.00%2084000.9012000110
6Christian DvorakBears (Was)C246915-520473745163613.33%433714.0700019000052046.39%291105000.8900000110
7Austin WuthrichBears (Was)RW246814-180431850123312.00%327411.4400005000000050.00%685001.0200000101
8Cole SmithBears (Was)LW249514200321347172819.15%426110.9100000000003037.50%852001.0700000012
9Vincent DunnBears (Was)C245914340232834122514.71%432013.37213361000001050.69%14495000.8700000100
10Gianluca CurcurutoBears (Was)D243912-1510033482014815.00%2952722.00112260000135010.00%0821000.4500000000
11Tommy VannelliBears (Was)D24481240019584215139.52%3965027.09404986000159000.00%0929000.3700000010
12Jacob BrysonBears (Was)D233811-4801615286610.71%1337116.1422468100002010.00%0516000.5900000000
13Logan O'ConnorBears (Was)RW247411100261438102018.42%42128.8600000000000050.00%283001.0300000100
14Mikko VainonenBears (Was)D182810-160132926987.69%2340622.60213234000130000.00%0118000.4900000000
15Emil JohanssonBears (Was)D2409960093712910.00%1635114.6500006000016000.00%0113000.5100000000
16Adam LowryBears (Was)C24347-1603222447186.82%726511.070000100000200042.40%12524000.5300000000
17Michael PrapavessisBears (Was)D24077-112073516970.00%3046219.26011031000055000.00%01012000.3000000000
18Nikolay ProkhorkinBears (Was)LW2425702013141682012.50%42339.7300005000180050.00%235000.6000000001
19Blake SpeersBears (Was)C1000-100000000.00%000.320000000000000.00%000000.00%00000000
20Colby CaveBears (Was)C2000-100122100.00%0147.4000000000010025.00%810000.00%00000000
21Jesper PetterssonBears (Was)D4000-300113000.00%14411.180000000000000.00%000000.00%00000000
22Morgan RiellyCapitalsD1000-200000210.00%11414.750000200000000.00%000000.00%00000000
23Kristians RubinsBears (Was)D1000000001000.00%155.380000000000000.00%000000.00%00000000
24Ryan GravesCapitalsD3000-120160000.00%63010.260000000000000.00%001000.00%00000000
25Nicholas CaamanoBears (Was)RW1000-100000000.00%000.3200000000000050.00%200000.00%00000000
Team Total or Average438101168269-601181054554080524341912.55%244714016.30223759877680001641312349.59%1472149172120.752710110910
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
# 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)2213700.8803.9312056079659324221.0003222020
2Artyom ZagidulinBears (Was)50310.8673.69244001511356010.5004222000
Team Total or Average27131010.8783.89144960947723802372424020


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 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
A.J. JenksBears (Was)LW281990-01-01No206 Lbs6 ft2NoNoNo1Pro & Farm800,000$581,095$0$0$No
Adam LowryBears (Was)C251993-01-01Yes210 Lbs6 ft5NoNoNo4Pro & Farm900,000$653,731$0$0$No900,000$900,000$900,000$
Artyom ZagidulinBears (Was)G231995-01-01No181 Lbs6 ft2NoNoNo4Pro & Farm900,000$653,731$0$0$No900,000$900,000$900,000$
Arvid HenriksonBears (Was)D201998-01-01Yes212 Lbs6 ft5NoNoNo4Pro & Farm500,000$363,184$0$0$No500,000$500,000$500,000$
Austin WuthrichBears (Was)RW251993-01-01Yes190 Lbs6 ft1NoNoNo1Pro & Farm500,000$363,184$0$0$No
Blake SpeersBears (Was)C211997-01-01Yes185 Lbs5 ft11NoNoNo4Pro & Farm900,000$653,731$0$0$No900,000$900,000$900,000$
Christian DvorakBears (Was)C221996-01-01Yes195 Lbs6 ft0NoNoNo1Pro & Farm950,000$690,050$0$0$No
Colby CaveBears (Was)C241994-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm250,000$181,592$0$0$No
Cole SmithBears (Was)LW231995-01-01Yes195 Lbs6 ft3NoNoNo1Pro & Farm500,000$363,184$0$0$No
David FarranceBears (Was)D191999-01-01Yes191 Lbs6 ft0NoNoNo1Pro & Farm500,000$363,184$0$0$No
Emil JohanssonBears (Was)D221996-01-01Yes189 Lbs5 ft11NoNoNo1Pro & Farm500,000$363,184$0$0$No
Gianluca CurcurutoBears (Was)D241994-01-01Yes195 Lbs6 ft0NoNoNo1Pro & Farm550,000$399,502$0$0$No
Isaac RatcliffeBears (Was)LW191999-01-01Yes200 Lbs6 ft6NoNoNo1Pro & Farm500,000$363,184$0$0$No
Jacob BrysonBears (Was)D211997-01-01Yes175 Lbs5 ft9NoNoNo1Pro & Farm500,000$363,184$0$0$No
Jake AllenBears (Was)G281990-01-01No195 Lbs6 ft2NoNoNo2Pro & Farm750,000$544,776$0$0$No750,000$
Jakob StenqvistBears (Was)D201998-01-01Yes179 Lbs6 ft2NoNoNo4Pro & Farm500,000$363,184$0$0$No500,000$500,000$500,000$
Jesper PetterssonBears (Was)D231995-01-01Yes189 Lbs5 ft9NoNoNo1Pro & Farm450,000$326,866$0$0$No
Joshua LeivoBears (Was)RW251993-01-01Yes204 Lbs6 ft1NoNoNo1Pro & Farm900,000$653,731$0$0$No
Kerby RychelBears (Was)LW241994-01-01Yes185 Lbs6 ft1NoNoNo4Pro & Farm950,000$690,050$0$0$No950,000$950,000$950,000$
Kirill MaksimovBears (Was)RW191999-01-01Yes207 Lbs6 ft2NoNoNo1Pro & Farm500,000$363,184$0$0$No
Kristians RubinsBears (Was)D211997-01-01Yes227 Lbs6 ft5NoNoNo1Pro & Farm500,000$363,184$0$0$No
Logan O'ConnorBears (Was)RW221996-01-01Yes174 Lbs6 ft0NoNoNo4Pro & Farm500,000$363,184$0$0$No500,000$500,000$500,000$
Mackenze StewartBears (Was)D221996-01-01Yes230 Lbs6 ft4NoNoNo1Pro & Farm450,000$326,866$0$0$No
Mario FerraroBears (Was)D201998-01-01Yes209 Lbs6 ft0NoNoNo1Pro & Farm500,000$363,184$0$0$No
Michael PrapavessisBears (Was)D221996-01-01Yes185 Lbs5 ft11NoNoNo4Pro & Farm500,000$363,184$0$0$No500,000$500,000$500,000$
Mikko VainonenBears (Was)D241994-01-01Yes222 Lbs6 ft2NoNoNo2Pro & Farm650,000$472,139$0$0$No650,000$
Nicholas CaamanoBears (Was)RW201998-01-01Yes201 Lbs6 ft3NoNoNo4Pro & Farm500,000$363,184$0$0$No500,000$500,000$500,000$
Nicolas Aube-KubelBears (Was)RW221996-01-01Yes187 Lbs5 ft11NoNoNo4Pro & Farm950,000$690,050$0$0$No950,000$950,000$950,000$
Nikolay ProkhorkinBears (Was)LW251993-01-01Yes190 Lbs6 ft2NoNoNo1Pro & Farm275,000$199,751$0$0$No
Sam CarrickBears (Was)C261992-01-01No188 Lbs6 ft0NoNoNo2Pro & Farm800,000$581,095$0$0$No800,000$
Tommy VannelliBears (Was)D231995-01-01Yes185 Lbs6 ft2NoNoNo1Pro & Farm600,000$435,821$0$0$No
Vincent DunnBears (Was)C231995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm500,000$363,184$0$0$No500,000$
Will ReillyBears (Was)D211997-01-01Yes196 Lbs6 ft2NoNoNo1Pro & Farm500,000$363,184$0$0$No
Zack HayesBears (Was)D191999-01-01Yes222 Lbs6 ft3NoNoNo1Pro & Farm500,000$363,184$0$0$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3422.50196 Lbs6 ft12.00603,676$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kerby RychelSam CarrickNicolas Aube-Kubel40122
2A.J. JenksAdam LowryJoshua Leivo30122
3Cole SmithVincent DunnAustin Wuthrich20122
4Nikolay ProkhorkinColby CaveLogan O'Connor10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikko VainonenGianluca Curcuruto40122
2Tommy VannelliMichael Prapavessis30122
3Jacob BrysonEmil Johansson20122
4Jesper PetterssonKristians Rubins10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kerby RychelSam CarrickNicolas Aube-Kubel60122
2A.J. JenksAdam LowryJoshua Leivo40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikko VainonenGianluca Curcuruto60122
2Tommy VannelliMichael Prapavessis40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Kerby RychelNicolas Aube-Kubel60122
2Joshua LeivoSam Carrick40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikko VainonenGianluca Curcuruto60122
2Tommy VannelliMichael Prapavessis40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Kerby Rychel60122Mikko VainonenGianluca Curcuruto60122
2Nicolas Aube-Kubel40122Tommy VannelliMichael Prapavessis40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Kerby RychelNicolas Aube-Kubel60122
2Joshua LeivoSam Carrick40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikko VainonenGianluca Curcuruto60122
2Tommy VannelliMichael Prapavessis40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kerby RychelSam CarrickNicolas Aube-KubelMikko VainonenGianluca Curcuruto
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kerby RychelSam CarrickNicolas Aube-KubelMikko VainonenGianluca Curcuruto
Extra Forwards
Normal PowerPlayPenalty Kill
Nicholas Caamano, Blake Speers, Austin WuthrichNicholas Caamano, Blake SpeersAustin Wuthrich
Extra Defensemen
Normal PowerPlayPenalty Kill
Mackenze Stewart, Will Reilly, Mario FerraroMackenze StewartWill Reilly, Mario Ferraro
Penalty Shots
Kerby Rychel, Nicolas Aube-Kubel, Joshua Leivo, Sam Carrick, A.J. Jenks
Goalie
#1 : Jake Allen, #2 : Artyom Zagidulin
Custom OT Lines Forwards
Kerby Rychel, Nicolas Aube-Kubel, Joshua Leivo, Sam Carrick, A.J. Jenks, Austin Wuthrich, Austin Wuthrich, Cole Smith, Logan O'Connor, Adam Lowry, Nikolay Prokhorkin
Custom OT Lines Defensemen
Mikko Vainonen, Gianluca Curcuruto, Tommy Vannelli, Michael Prapavessis, Jacob Bryson


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
1Barracuda11000000422000000000001100000042221.00047110036352933024032024092882184125.00%10100.00%027753951.39%24549849.20%20843148.26%502278506224441222
2Comets20200000711-41010000035-21010000046-200.0007121910363529365240320240978168409444.44%4175.00%027753951.39%24549849.20%20843148.26%502278506224441222
3Devils3210000014104110000006332110000087140.66714243800363529310024032024099222188010110.00%9277.78%027753951.39%24549849.20%20843148.26%502278506224441222
4Little Stars21100000910-11010000035-21100000065120.5009122110363529375240320240971204545120.00%20100.00%027753951.39%24549849.20%20843148.26%502278506224441222
5Moose210000018621000000145-11100000041330.75081321003635293652403202409612610477114.29%50100.00%027753951.39%24549849.20%20843148.26%502278506224441222
6Penguins22000000835000000000002200000083541.00081422003635293582403202409721412403266.67%60100.00%027753951.39%24549849.20%20843148.26%502278506224441222
7Rampage1010000046-21010000046-20000000000000.0004590036352933924032024092911019400.00%000.00%027753951.39%24549849.20%20843148.26%502278506224441222
8Rocket1010000025-3000000000001010000025-300.0002350036352933224032024093311415600.00%2150.00%027753951.39%24549849.20%20843148.26%502278506224441222
9Sound Tigers43100000221662110000098122000000138560.750223860103635293126240320240911337269822731.82%13284.62%027753951.39%24549849.20%20843148.26%502278506224441222
10Thunderbirds11000000642000000000001100000064221.0006111700363529335240320240943162225480.00%10100.00%027753951.39%24549849.20%20843148.26%502278506224441222
11Wolfpack10000010541100000105410000000000021.00057120036352933424032024093219819200.00%4175.00%027753951.39%24549849.20%20843148.26%502278506224441222
12Wolves403010001321-8302010001217-51010000014-320.25013223500363529314324032024091234430881815.56%100100.00%027753951.39%24549849.20%20843148.26%502278506224441222
Total241110010111029841126010114653-7139400000564511270.5631021682703036352938022403202409775244124540952223.16%57787.72%027753951.39%24549849.20%20843148.26%502278506224441222
_Since Last GM Reset241110010111029841126010114653-7139400000564511270.5631021682703036352938022403202409775244124540952223.16%57787.72%027753951.39%24549849.20%20843148.26%502278506224441222
_Vs Conference209901010888531026010104248-610730000046379220.550881452333036352936752403202409653199108460782025.64%49687.76%027753951.39%24549849.20%20843148.26%502278506224441222
_Vs Division11550100049472623010002728-15320000022193120.545498413310363529336924032024093281037426650918.00%32487.50%027753951.39%24549849.20%20843148.26%502278506224441222

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2427L210216827080277524412454030
All Games
GPWLOTWOTL SOWSOLGFGA
241110101110298
Home Games
GPWLOTWOTL SOWSOLGFGA
112610114653
Visitor Games
GPWLOTWOTL SOWSOLGFGA
139400005645
Last 10 Games
WLOTWOTL SOWSOL
440011
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
952223.16%57787.72%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
24032024093635293
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
27753951.39%24549849.20%20843148.26%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
502278506224441222


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 - 2023-10-1010Wolves3Bears2BLR1BoxScore
4 - 2023-10-1218Bears6Sound Tigers3AWR1BoxScore
6 - 2023-10-1432Sound Tigers5Bears8BWBoxScore
9 - 2023-10-1751Bears7Sound Tigers5AWR1BoxScore
11 - 2023-10-1959Wolves9Bears4BLBoxScore
14 - 2023-10-2278Bears1Wolves4ALR1BoxScore
16 - 2023-10-2488Bears3Devils6ALBoxScore
18 - 2023-10-2696Bears6Little Stars5AWBoxScore
19 - 2023-10-27104Wolves5Bears6BWXR1BoxScore
22 - 2023-10-30118Bears4Penguins2AWBoxScore
24 - 2023-11-01128Devils3Bears6BWBoxScore
27 - 2023-11-04143Bears6Thunderbirds4AWBoxScore
29 - 2023-11-06155Rampage6Bears4BLBoxScore
31 - 2023-11-08168Bears2Rocket5ALBoxScore
33 - 2023-11-10178Wolfpack4Bears5BWXXBoxScore
35 - 2023-11-12185Bears4Penguins1AWBoxScore
38 - 2023-11-15202Bears5Devils1AWBoxScore
39 - 2023-11-16208Moose5Bears4BLXXBoxScore
44 - 2023-11-21230Sound Tigers3Bears1BLR1BoxScore
46 - 2023-11-23242Bears4Moose1AWBoxScore
49 - 2023-11-26255Little Stars5Bears3BLBoxScore
51 - 2023-11-28264Bears4Barracuda2AWBoxScore
53 - 2023-11-30270Bears4Comets6ALBoxScore
55 - 2023-12-02284Comets5Bears3BLBoxScore
60 - 2023-12-07308Heat-Bears-
63 - 2023-12-10324Bears-Marlies-
64 - 2023-12-11334Condors-Bears-
67 - 2023-12-14351Bears-Americans-
68 - 2023-12-15358Barracuda-Bears-
71 - 2023-12-18371Bears-Devils-
73 - 2023-12-20385Icehogs-Bears-
75 - 2023-12-22396Bears-Rocket-
78 - 2023-12-25409Devils-Bears-
82 - 2023-12-29428Bears-Admirals-
84 - 2023-12-31435Moose-Bears-
87 - 2024-01-03453Bears-Penguins-
88 - 2024-01-04462Rampage-Bears-
92 - 2024-01-08477Bears-Punishers-
94 - 2024-01-10488Eagles-Bears-
96 - 2024-01-12504Bears-Rampage-
98 - 2024-01-14514Phantoms-Bears-
101 - 2024-01-17530Bears-Punishers-
102 - 2024-01-18538Comets-Bears-
105 - 2024-01-21549Bears-Griffins-
107 - 2024-01-23564Wolfpack-Bears-
109 - 2024-01-25572Bears-Icehogs-
112 - 2024-01-28590Griffins-Bears-
115 - 2024-01-31602Bears-Crunch-
117 - 2024-02-02614Crunch-Bears-
120 - 2024-02-05631Bears-Reign-
122 - 2024-02-07641Bears-Senators-
123 - 2024-02-08646Punishers-Bears-
126 - 2024-02-11668Wolves-Bears-
131 - 2024-02-16692Admirals-Bears-
133 - 2024-02-18707Bears-Sound Tigers-
135 - 2024-02-20715Bears-Thunderbirds-
136 - 2024-02-21723Wolves-Bears-
139 - 2024-02-24737Bears-Wolfpack-
141 - 2024-02-26748Crunch-Bears-
143 - 2024-02-28767Rocket-Bears-
145 - 2024-03-01778Bears-Phantoms-
147 - 2024-03-03789Bears-Heat-
149 - 2024-03-05799Senators-Bears-
151 - 2024-03-07809Bears-Sound Tigers-
154 - 2024-03-10823Bears-Wolves-
156 - 2024-03-12828Penguins-Bears-
158 - 2024-03-14843Bears-Little Stars-
Trade Deadline --- Trades can’t be done after this day is simulated!
161 - 2024-03-17853Devils-Bears-
166 - 2024-03-22876Punishers-Bears-
170 - 2024-03-26898Marlies-Bears-
172 - 2024-03-28911Bears-Eagles-
174 - 2024-03-30921Bears-Wolves-
176 - 2024-04-01930Americans-Bears-
179 - 2024-04-04951Sound Tigers-Bears-
182 - 2024-04-07963Bears-Eagles-
183 - 2024-04-08970Bears-Condors-
185 - 2024-04-10982Thunderbirds-Bears-
186 - 2024-04-11990Bears-Condors-
190 - 2024-04-151009Reign-Bears-
198 - 2024-04-231034Thunderbirds-Bears-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance20,55710,532
Attendance PCT93.44%95.75%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
29 2826 - 94.21% 177,571$1,953,283$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
713,795$ 2,052,500$ 1,912,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
10,211$ 563,291$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
5,149,564$ 146 12,948$ 1,890,408$




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