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Bears
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : JF Langlais | Morale : 50 | Team Overall : 57

Team Leaders

Team Stats
Team Info

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


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team21
Farm Team21
Contract Limit42 / 50
Prospects18


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Philip Tomasino (R)XX100.00624477767784707352736765725950050680221894,167$
2John HaydenXXX100.00675561637371706343585963626152050620284800,000$
3Jacob Gaucher (R)XXX100.0059416963636362604156565560515005057N0222700,000$
4Jakub Demek (R)XX100.00634168596762616041565655585050050570203851,683$
5Ryder Korczak (R)X100.00574169655960585845555353595050050560212859,167$
6Carson Bantle (R)X100.00555555555555555555555555555555050550213620,000$
7Antoine MorandX100.00646683656652564461404058414444050520241700,000$
8Otto Kivenmaki (R)X100.00394077676047544553403743445050050480231560,000$
9Ethan Phillips (R)X100.00353095665445583744323035355454050440222650,000$
10Zion Nybeck (R)X100.00404040404040404040404040404040050410213675,000$
11Alex Vlasic (R)X100.00696172758480737040696082685650050710222916,667$
12Kaedan Korczak (R)X100.006345747178766666406359666556500506502221,200,000$
13Sean DayX100.00654470647266656240615467605450050620252800,000$
14Jack RathboneX100.00604371726065636440595868655350050620243850,000$
15Shakir Mukhamadullin (R)X100.00634171706462606240615666625050050620212894,167$
16Christian Kyrou (R)X100.00574168685859586240605962635050050600203878,333$
17Kim Nousiainen (R)X100.00564269695862605740535161595150050580222859,167$
Scratches
1Layton Ahac (R)X100.00584369626663615940515156575150050570223850,000$
TEAM AVERAGE100.0057457065646261584455525857525005058
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
1Dennis Hildeby (R)100.0065606475686667656765585050050610222843,333$
2Daniil Chechelev (R)100.0060565566595758535655505046050530222650,000$
Scratches
1Ethan Haider (R)100.004567608237445145404142544605047N0223700,000$
TEAM AVERAGE100.005761607455565954545450514705054
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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 Country 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 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap 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
Alex VlasicBears (Was)D222001-06-05USAYes217 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm916,667$0$0$No916,667$--------916,667$--------No--------Link
Antoine MorandBears (Was)C241999-02-18QUENo184 Lbs5 ft11NoNoFree AgentYesNo12024-09-06FalseFalsePro & Farm700,000$0$0$No---------------------------Link
Carson BantleBears (Was)LW212002-01-22USAYes205 Lbs6 ft5NoNoTrade2024-10-23NoNo32024-06-25FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Link
Christian KyrouBears (Was)D202003-09-16CANYes170 Lbs5 ft10NoNoProspectNoNo32024-06-25FalseFalsePro & Farm878,333$0$0$No878,333$878,333$-------878,333$878,333$-------NoNo-------Link
Daniil ChechelevBears (Was)G222001-02-23RUSYes187 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Link
Dennis HildebyBears (Was)G222001-08-19SWEYes222 Lbs6 ft7NoNoN/ANoNo2FalseFalsePro & Farm843,333$0$0$No843,333$--------843,333$--------No--------Link
Ethan HaiderBears (Was)G222001-09-04USAYes209 Lbs6 ft3YesNoFree AgentNoNo32024-09-28FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------YesYes-------Link
Ethan PhillipsBears (Was)RW222001-05-07CANYes154 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Link
Jack RathboneBears (Was)D241999-05-20USANo182 Lbs5 ft11NoNoFree AgentYesNo32024-09-06FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Link
Jacob GaucherBears (Was)C/LW/RW222001-03-09CANYes185 Lbs6 ft3YesNoFree AgentNoNo22024-09-28FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$620,000$-------Yes--------Link
Jakub DemekBears (Was)C/RW202003-06-06SLVYes210 Lbs6 ft4NoNoProspectNoNo32024-06-25FalseFalsePro & Farm851,683$0$0$No851,683$851,683$-------851,683$851,683$-------NoNo-------Link
John Hayden (1 Way Contract)Bears (Was)C/LW/RW281995-02-14USANo223 Lbs6 ft3NoNoN/AYesNo4FalseFalsePro & Farm800,000$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Link
Kaedan KorczakBears (Was)D222001-01-29CANYes201 Lbs6 ft3NoNoFree AgentNoNo22024-09-06FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Link
Kim NousiainenBears (Was)D222000-11-14FINYes181 Lbs5 ft8NoNoN/ANoNo2FalseFalsePro & Farm859,167$0$0$No859,167$--------859,167$--------No--------Link
Layton AhacBears (Was)D222001-02-22CANYes205 Lbs6 ft2NoNoFree AgentNoNo32024-09-06FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Link
Otto KivenmakiBears (Was)C232000-03-24FINYes172 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm560,000$0$0$No---------------------------Link
Philip TomasinoBears (Was)LW/RW222001-07-28CANYes179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm894,167$0$0$No---------------------------Link
Ryder KorczakBears (Was)C212002-09-23CANYes172 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm859,167$0$0$No859,167$--------859,167$--------No--------Link
Sean DayBears (Was)D251998-01-09BGMNo225 Lbs6 ft3NoNoFree AgentYesNo22024-09-06FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link
Shakir MukhamadullinBears (Was)D212002-01-10RUSYes185 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm894,167$0$0$No894,167$--------894,167$--------No--------Link
Zion NybeckBears (Was)LW212002-05-12SWEYes183 Lbs5 ft8NoNoProspectNoNo32024-06-25FalseFalsePro & Farm675,000$0$0$No675,000$675,000$-------675,000$675,000$-------NoNo-------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2122.29193 Lbs6 ft12.29797,699$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jacob GaucherJohn HaydenJakub Demek40122
2Carson BantleRyder KorczakEthan Phillips30122
3Zion NybeckAntoine MorandOtto Kivenmaki20122
4John HaydenOtto KivenmakiJakub Demek10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan KorczakShakir Mukhamadullin40122
2Jack RathboneSean Day30122
3Christian KyrouKim Nousiainen20122
4Kaedan KorczakShakir Mukhamadullin10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jacob GaucherJohn HaydenJakub Demek60122
2Carson BantleRyder KorczakEthan Phillips40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan KorczakShakir Mukhamadullin60122
2Jack RathboneSean Day40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1John HaydenJakub Demek60122
2Jacob GaucherRyder Korczak40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan KorczakShakir Mukhamadullin60122
2Jack RathboneSean Day40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1John Hayden60122Kaedan KorczakShakir Mukhamadullin60122
2Jakub Demek40122Jack RathboneSean Day40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1John HaydenJakub Demek60122
2Jacob GaucherRyder Korczak40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kaedan KorczakShakir Mukhamadullin60122
2Jack RathboneSean Day40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jacob GaucherJohn HaydenJakub DemekKaedan KorczakShakir Mukhamadullin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jacob GaucherJohn HaydenJakub DemekKaedan KorczakShakir Mukhamadullin
Extra Forwards
Normal PowerPlayPenalty Kill
Antoine Morand, Zion Nybeck, Carson BantleAntoine Morand, Zion NybeckCarson Bantle
Extra Defensemen
Normal PowerPlayPenalty Kill
Christian Kyrou, Kim Nousiainen, Jack RathboneChristian KyrouKim Nousiainen, Jack Rathbone
Penalty Shots
John Hayden, Jakub Demek, Jacob Gaucher, Ryder Korczak, Carson Bantle
Goalie
#1 : Dennis Hildeby, #2 : Daniil Chechelev


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
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
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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4020
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
3 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 1,595,169$ 1,595,169$ 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$ 3 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