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Bears
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Jean-Manuel Estrada | Morale : 40 | Team Overall : 65
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Team Leaders

Team Stats
Team Info

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


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team30
Farm Team18
Contract Limit48 / 250
Prospects0


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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
1Nicolas Aube-Kubel (R)X100.007838757677738180737881746563553940750233950,000$
2Kerby Rychel (R)X100.008649748176648077687778697268614040740253950,000$
3Christian Dvorak (R)X100.008242857571737974707078747668534840730231950,000$
4Sam CarrickX100.007738757472668373707873736673632940720271800,000$
5Cole Smith (R)X100.007547866070646380707368636550524040680242800,000$
6Adam Lowry (R)X100.006836757069697666646972596653523040660263900,000$
7Vincent Dunn (R)X100.006838766771607672717166636647493740660241500,000$
8Nicholas Caamano (R)X100.006143726963636567677063647144445640640213500,000$
9Colby Cave (R)X100.005326766673566162545977585851512640620251600,000$
10Isaac Ratcliffe (R)X100.006732784766696659566475496142426140600204500,000$
11Kirill Maksimov (R)X100.006126765474556463645768455342425540580204500,000$
12Jeremy Michel (R)X100.005217615034503262544253426940406140490182500,000$
13Tommy Vannelli (R)X100.006331897372737573568163776167493940720242900,000$
14Gianluca Curcuruto (R)X100.007534797367727269587263736266533040700251850,000$
15Michael Prapavessis (R)X100.006833867368707268517457775755504140700233500,000$
16Mikko Vainonen (R)X100.006929787072747372547165745572532740700251650,000$
17Emil Johansson (R)X100.006147796865696665597166715554493840660233750,000$
18Ryan Graves (R)X100.006134796867687167447051694948493040650242675,000$
Scratches
1Blake Speers (R)X100.006336665771605665556977445744444540610223900,000$
2Jesper Pettersson (R)X100.006345746466696263656670576255502940640242675,000$
3Will Reilly (R)X100.004736797765476268257660544746454140630224600,000$
4Kristians Rubins (R)X100.005842796661615863296351754748484840630224600,000$
5David Farrance (R)X100.005834725860656059376859695042425440610204550,000$
6Mackenze Stewart (R)X100.005846706360666360666669515447463340610233500,000$
7Mario Ferraro (R)X100.005633816062676660306643694243444740610214500,000$
8Zack Hayes (R)X100.006533585869645251255748543942425740570201400,000$
9Jakob Stenqvist (R)X100.005727746443466163407045533943434340560213500,000$
10Arvid Henrikson (R)X100.005328626464594550305955573243434640560213500,000$
TEAM AVERAGE100.00643676666664666654686463575248424064
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 SPAgeContractSalary
1Jake Allen100.00727471627183796972777174712440740291750,000$
2Artyom Zagidulin100.00706467776862606161616645475340630243900,000$
Scratches
TEAM AVERAGE100.0071696970707370656769696059394069
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Gerard Gallant65666472386557CAN41550,000$


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
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


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall 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 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Adam LowryBears (Was)C261993-01-01Yes210 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------NoNo-------
Artyom ZagidulinBears (Was)G241995-01-01No181 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------NoNo-------
Arvid HenriksonBears (Was)D211998-01-01Yes212 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm500,000$500,000$0$0$No500,000$500,000$-------NoNo-------
Blake SpeersBears (Was)C221997-01-01Yes185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------NoNo-------
Christian DvorakBears (Was)C231996-01-01Yes195 Lbs6 ft0NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm950,000$950,000$0$0$No------------------
Colby CaveBears (Was)C251994-01-01Yes185 Lbs6 ft1NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm600,000$600,000$0$0$No------------------
Cole SmithBears (Was)LW241995-01-01Yes195 Lbs6 ft3NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------No--------
David FarranceBears (Was)D201999-01-01Yes191 Lbs6 ft0NoNoFree AgentNoNo42024-09-17FalseFalsePro & Farm550,000$550,000$0$0$No550,000$550,000$550,000$------NoNoNo------
Emil JohanssonBears (Was)D231996-01-01Yes189 Lbs5 ft11NoNoFree AgentNoNo32024-09-17FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$-------NoNo-------
Gianluca CurcurutoBears (Was)D251994-01-01Yes195 Lbs6 ft0NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm850,000$850,000$0$0$No------------------
Isaac RatcliffeBears (Was)LW201999-01-01Yes200 Lbs6 ft6NoNoFree AgentNoNo42024-09-17FalseFalsePro & Farm500,000$500,000$0$0$No500,000$500,000$500,000$------NoNoNo------
Jake AllenBears (Was)G291990-01-01No195 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$750,000$0$0$No------------------
Jakob StenqvistBears (Was)D211998-01-01Yes179 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm500,000$500,000$0$0$No500,000$500,000$-------NoNo-------
Jeremy MichelBears (Was)LW182001-01-01Yes176 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$500,000$0$0$No500,000$--------No--------Link
Jesper PetterssonBears (Was)D241995-01-01Yes189 Lbs5 ft9NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm675,000$675,000$0$0$No675,000$--------No--------
Kerby RychelBears (Was)LW251994-01-01Yes185 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------NoNo-------
Kirill MaksimovBears (Was)RW201999-01-01Yes207 Lbs6 ft2NoNoFree AgentNoNo42024-09-17FalseFalsePro & Farm500,000$500,000$0$0$No500,000$500,000$500,000$------NoNoNo------
Kristians RubinsBears (Was)D221997-01-01Yes227 Lbs6 ft5NoNoFree AgentNoNo42024-09-17FalseFalsePro & Farm600,000$600,000$0$0$No600,000$600,000$600,000$------NoNoNo------
Mackenze StewartBears (Was)D231996-01-01Yes230 Lbs6 ft4NoNoFree AgentNoNo32024-09-17FalseFalsePro & Farm500,000$500,000$0$0$No500,000$500,000$-------NoNo-------
Mario FerraroBears (Was)D211998-01-01Yes209 Lbs6 ft0NoNoFree AgentNoNo42024-09-17FalseFalsePro & Farm500,000$500,000$0$0$No500,000$500,000$500,000$------NoNoNo------
Michael PrapavessisBears (Was)D231996-01-01Yes185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm500,000$500,000$0$0$No500,000$500,000$-------NoNo-------
Mikko VainonenBears (Was)D251994-01-01Yes222 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$650,000$0$0$No------------------
Nicholas CaamanoBears (Was)RW211998-01-01Yes201 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm500,000$500,000$0$0$No500,000$500,000$-------NoNo-------
Nicolas Aube-KubelBears (Was)RW231996-01-01Yes187 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------NoNo-------
Ryan GravesBears (Was)D241995-01-01Yes225 Lbs6 ft4NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm675,000$675,000$0$0$No675,000$--------No--------
Sam CarrickBears (Was)C271992-01-01No188 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$800,000$0$0$No------------------
Tommy VannelliBears (Was)D241995-01-01Yes185 Lbs6 ft2NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------No--------
Vincent DunnBears (Was)C241995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$500,000$0$0$No------------------
Will ReillyBears (Was)D221997-01-01Yes196 Lbs6 ft2NoNoFree AgentNoNo42024-09-17FalseFalsePro & Farm600,000$600,000$0$0$No600,000$600,000$600,000$------NoNoNo------
Zack HayesBears (Was)D201999-01-01Yes222 Lbs6 ft3NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm400,000$400,000$0$0$No------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3022.97198 Lbs6 ft22.50671,667$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kerby RychelNicolas Aube-Kubel40014
2Sam Carrick35014
3Vincent DunnNicholas Caamano15023
4Adam Lowry10032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikko Vainonen40032
2Michael Prapavessis35041
315014
4Mikko Vainonen10041
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kerby RychelNicolas Aube-Kubel60014
2Sam Carrick40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikko Vainonen60023
240023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160032
2Sam CarrickNicolas Aube-Kubel40032
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikko Vainonen60041
2Michael Prapavessis40041
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160041Mikko Vainonen60050
2Sam Carrick40041Michael Prapavessis40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nicolas Aube-Kubel60014
2Sam CarrickKerby Rychel40014
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mikko Vainonen60023
2Michael Prapavessis40023
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kerby RychelNicolas Aube-KubelMikko Vainonen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kerby RychelNicolas Aube-KubelMikko Vainonen
Extra Forwards
Normal PowerPlayPenalty Kill
Kerby Rychel, Nicolas Aube-Kubel, Kerby Rychel, Nicolas Aube-KubelKerby Rychel
Extra Defensemen
Normal PowerPlayPenalty Kill
Mikko Vainonen, , Mikko VainonenMikko Vainonen,
Penalty Shots
Kerby Rychel, Nicolas Aube-Kubel, , , Sam Carrick
Goalie
#1 : Jake Allen, #2 : Artyom Zagidulin
Custom OT Lines Forwards
Kerby Rychel, Nicolas Aube-Kubel, , , Sam Carrick, , , , Vincent Dunn, , Adam Lowry
Custom OT Lines Defensemen
Mikko Vainonen, , , Michael Prapavessis,


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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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,015,000$ 2,015,000$ 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$ 0 0$ 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