Bears
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
| 50 | 68





Metropolitan Division
Eastern Conference




5,000
5,000




18
19
37 / 55
35


PriorityDescription
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
# #C L R D CON PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Jared Davidson0X100.006561756680818371666866684564650507602100$
2Joona Koppanen0X100.008348996692486757637161754367690507402600$
3Georgii Merkulov0X100.00555075778869717574696550456567050740231925,000$
4Walker Duehr0XX100.00844999689537685961736367446870050730261783,750$
5William Dufour0X100.006964756080677064606860504564650506902200$
6Jackson Cates0X100.00555075608075776062686050456870050680261750,000$
7Luke Philp0X100.00555075638868706066686050457072050680282806,000$
8Josh Lopina0X100.005550756080737560616860504564660506802300$
9Blake McLaughlin0XXX100.00504568548252635460615448416567050610242830,725$
10Marc Del Gaizo0X100.007966997199637261307666904666680508202400$
11Aidan Fulp0X100.005248715776556757306557484365670506302400$
1Parker Bell (R)0X100.005652756080727360566860504562640506802000$
2Jaydon Dureau (R)0X100.005045685473526354576154484164660506102300$
3Mitchell Russell (R)0X100.004844665370516153506053443964660505902300$
4Shai Buium (R)0X100.005550756080798160306860554562640506802100$
5Michael Buchinger (R)0X100.006057756080607060306860504561630506702000$
100.0061527862836371605468605644656705069
PriorityDescription
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
# #CON PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Cooper Black0100.00766753737278777075677664710507402300$
2Benjamin Kraws0100.00535353546059595856534565730505702300$
100.006560536466696864666061657205066
PH DF OF PD EX LD PO CNT


PriorityDescription
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
# GP 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
PriorityDescription
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
# GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


PriorityDescription
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 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 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
Aidan Fulp Bears (WAS)D242000-02-29USANo210 Lbs6 ft3NoNoFree AgentNoNo02024-10-07FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
Benjamin Kraws Bears (WAS)G232000-08-02USANo195 Lbs6 ft5NoNoFree AgentNoNo02025-03-12FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
Blake McLaughlin Bears (WAS)C/LW/RW242000-02-14USANo179 Lbs6 ft0NoNoFree AgentNoNo22024-10-07FalseFalsePro & Farm830,725$830,725$0$0$No830,725$ Restricted----830,725$--------No--------Link / NHL Link
Cooper Black Bears (WAS)G232001-06-14USANo223 Lbs6 ft8NoNoFree AgentNoNo02024-10-07FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
Georgii Merkulov Bears (WAS)C232000-10-10RUSNo176 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$925,000$0$0$No Restricted----------------------Link / NHL Link
Jackson Cates Bears (WAS)C261997-09-26USANo201 Lbs6 ft0NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm750,000$750,000$0$0$NoUnrestricted----------------------Link / NHL Link
Jared Davidson Bears (WAS)C212002-07-07CANNo183 Lbs6 ft0NoNoProspectNoNo02024-07-02FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
Jaydon Dureau Bears (WAS)LW232001-01-20CANYes171 Lbs5 ft11NoNoDraftNoNo02025-07-15FalseFalsePro & Farm0$0$No----------------------Link
Joona Koppanen Bears (WAS)LW261998-02-25FINNo215 Lbs6 ft5NoNoN/ANoNo0FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
Josh Lopina Bears (WAS)C232001-02-16USANo199 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
Luke Philp Bears (WAS)C281995-11-06CANNo181 Lbs5 ft10NoNoFree AgentNoNo22024-10-07FalseFalsePro & Farm806,000$806,000$0$0$No806,000$Unrestricted----806,000$--------No--------Link / NHL Link
Marc Del Gaizo Bears (WAS)D241999-10-11USANo188 Lbs5 ft11NoNoN/ANoNo0FalseFalseFarm Only0$0$No----------------------Link / NHL Link
Michael Buchinger Bears (WAS)D202004-04-25CANYes192 Lbs6 ft0NoNoProspectNoNo02025-07-15FalseFalsePro & Farm0$0$No----838,333$838,333$----------------Link
Mitchell Russell Bears (WAS)RW232001-03-06CANYes195 Lbs6 ft0NoNoProspectNoNo02025-07-15FalseFalsePro & Farm0$0$No----------------------Link
Parker Bell Bears (WAS)LW202003-09-26CANYes210 Lbs6 ft5NoNoProspectNoNo02025-07-15FalseFalsePro & Farm0$0$No----857,500$-----------------Link
Shai Buium Bears (WAS)D212003-03-26USAYes210 Lbs6 ft3NoNoProspectNoNo02025-07-15FalseFalsePro & Farm0$0$No----925,000$925,000$----------------Link
Walker Duehr Bears (WAS)C/RW261997-11-23USANo210 Lbs6 ft2NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm783,750$783,750$0$0$NoUnrestricted----------------------Link / NHL Link
William Dufour Bears (WAS)RW222002-01-28CANNo212 Lbs6 ft3NoNoN/ANoNo0FalseFalsePro & Farm0$0$No----------------------Link / NHL Link
1823.33197 Lbs6 ft20.39227,526$



1Joona KoppanenGeorgii MerkulovWalker Duehr30122
2Jackson CatesLuke Philp30122
3Jared DavidsonWilliam Dufour20122
4Josh LopinaWalker Duehr20122
1Marc Del Gaizo30122
230122
3Aidan Fulp20122
4Marc Del Gaizo20122
1Joona KoppanenGeorgii MerkulovWalker Duehr50122
2Jackson CatesLuke Philp50122
1Marc Del Gaizo50122
250122
1Walker DuehrGeorgii Merkulov50122
2Joona KoppanenJackson Cates50122
1Marc Del Gaizo50122
250122
1Walker Duehr50122Marc Del Gaizo50122
2Georgii Merkulov50122Aidan Fulp50122
1Walker DuehrGeorgii Merkulov50122
2Joona KoppanenJackson Cates50122
1Marc Del GaizoAidan Fulp50122
250122
Joona KoppanenGeorgii MerkulovWalker DuehrMarc Del Gaizo
Joona KoppanenGeorgii MerkulovWalker DuehrMarc Del Gaizo
Blake McLaughlin, , Josh LopinaBlake McLaughlin, Josh Lopina
, Aidan Fulp, Marc Del GaizoAidan Fulp, Marc Del Gaizo
Walker Duehr, Georgii Merkulov, Joona Koppanen, Jackson Cates, Luke Philp
#1 : Benjamin Kraws, #2 : Cooper Black
Walker Duehr, Georgii Merkulov, Joona Koppanen, Jackson Cates, Luke Philp, , , , Josh Lopina, Jared Davidson,
Marc Del Gaizo, Aidan Fulp, , ,


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


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 Score Home Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity35001500
Ticket Price5025
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 4,095,475$ 4,095,475$ 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