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Bears
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Jean-Manuel Estrada | Morale : 40 | Team Overall : 63
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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 Team44
Farm Team19
Contract Limit63 / 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
1Max FribergX100.006331807672777474757773766863583745720253900,000$
2Kerby Rychel (R)X100.008349707772608077687173656953504840700231900,000$
3Nicolas Aube-Kubel (R)X100.007737727173687776687376685949454740700211750,000$
4A.J. JenksX100.007427707269727571737174686454532733690271925,000$
5Mike HoffmanX100.007526737576727174716770607166632440690281650,000$
6Jamie McGinnX100.007932716869647169686971707558542240680291750,000$
7Zach Stepan (R)X100.006417837269797467657065687252483640670232500,000$
8Angelo EspositoX100.006439746562677268767267556856532040650281550,000$
9Austin Wuthrich (R)X100.007525666569617276686567596149493040650242500,000$
10Brett BulmerX100.006436636867616566646970586051513040640251600,000$
11Dylan Gambrell (R)X100.006033746065676364748270516046446140640211500,000$
12Vincent Dunn (R)X100.006438756267537267666859595944464540620223500,000$
13Ben Hutton (R)X100.0077407977797878776578717468674550477402312,500,000$
14Joey LaleggiaX100.007041907165617071447160776465523140700251900,000$
15Taylor AronsonX100.006721776964747372566964706066573137680263600,000$
16Derek ForbortX100.006737696868756766587058746157513140670251500,000$
17Mikko Vainonen (R)X100.006429786971696872516764705459473240670233650,000$
18Tommy Vannelli (R)X100.005931867266676569497555715351464740670222600,000$
Scratches
1Cole Smith (R)X100.007146835566596078696963606248494940650232500,000$
2Logan O'Connor (R)X100.006737776567616072646467526847455640630211500,000$
3Nikolay Prokhorkin (R)X100.005534756057636462727861525951503340620242275,000$
4Warren Foegele (R)X100.004835936671787161616652615943435540620211500,000$
5Lane Pederson (R)X100.006850656769666460587060506144425840610212500,000$
6Nicholas Caamano (R)X100.005740686058596261616657586641417040590191500,000$
7Colby Cave (R)X100.005025706168535858505872495647473240580232250,000$
8Isaac Ratcliffe (R)X100.006427734262646156525869425740408040560192500,000$
9Kirill Maksimov (R)X100.005823715070515959585163394940407240540192500,000$
10Gianluca Curcuruto (R)X100.007234757261686867566758685954493640660232500,000$
11Michael Prapavessis (R)X100.006333836863636764447049715247454940650211500,000$
12Emil Johansson (R)X100.005747766664686560536660654949444440630212500,000$
13Jacob Bryson (R)X100.005931696959556480328045604044455240620212500,000$
14Ryan Graves (R)X100.005732766563646762426647674546453840620222250,000$
15Caleb Jones (R)X100.007141575873674258325550673842426340610202550,000$
16Jesper Pettersson (R)X100.005842706363666259636666505852463540610222450,000$
17Kristians Rubins (R)X100.005636736054585660256145694346466240590212500,000$
18Mackenze Stewart (R)X100.005340676057616056626267475245444340580212450,000$
19Mario Ferraro (R)X100.005428775660636256276337643941425940580202500,000$
20Will Reilly (R)X100.004031747360435764217253484344435540580212500,000$
21David Farrance (R)X100.005432695654625657346253634740406940570192500,000$
22Zack Hayes (R)X100.006131545365604748225244473440407240520192500,000$
23Jakob Stenqvist (R)X100.005425706140425958346538483441415640520191500,000$
24Arvid Henrikson (R)X100.004924595958544345265451522841415940510191500,000$
TEAM AVERAGE100.00633473656564656554676061565047464063
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")
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 Allen100.00717375646680766671797062583040710273750,000$
2Magnus Hellberg100.00756367777468697173707665613140710262750,000$
Scratches
TEAM AVERAGE100.0073687171707473697275736460314071
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Gerard Gallant65666472386557CAN22550,000$


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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
# 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 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)LW271990-01-01No206 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$0$0$No
Angelo EspositoBears (Was)C281989-01-01No190 Lbs6 ft0NoNoNo1Pro & Farm550,000$550,000$0$0$No
Arvid HenriksonBears (Was)D191998-01-01Yes212 Lbs6 ft5NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Austin WuthrichBears (Was)RW241993-01-01Yes190 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Ben HuttonBears (Was)D231994-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm2,500,000$2,500,000$0$0$NoLink
Brett BulmerBears (Was)RW251992-01-01No212 Lbs6 ft4NoNoNo1Pro & Farm600,000$600,000$0$0$No
Caleb JonesBears (Was)D201997-01-01Yes194 Lbs6 ft1NoNoNo2Pro & Farm550,000$550,000$0$0$No550,000$Link
Colby CaveBears (Was)C231994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm250,000$250,000$0$0$No250,000$Link
Cole SmithBears (Was)LW231994-01-01Yes195 Lbs6 ft3NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
David FarranceBears (Was)D191998-01-01Yes191 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Derek ForbortBears (Was)D251992-01-01No212 Lbs6 ft4NoNoNo1Pro & Farm500,000$500,000$0$0$No
Dylan GambrellBears (Was)C211996-01-01Yes194 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Emil JohanssonBears (Was)D211996-01-01Yes189 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Gianluca CurcurutoBears (Was)D231994-01-01Yes195 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No550,000$
Isaac RatcliffeBears (Was)LW191998-01-01Yes200 Lbs6 ft6NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Jacob BrysonBears (Was)D211996-01-01Yes175 Lbs5 ft9NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Jake AllenBears (Was)G271990-01-01No195 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$
Jakob StenqvistBears (Was)D191998-01-01Yes179 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Jamie McGinnBears (Was)LW291988-01-01No205 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$No
Jesper PetterssonBears (Was)D221995-01-01Yes189 Lbs5 ft9NoNoNo2Pro & Farm450,000$450,000$0$0$No450,000$Link
Joey LaleggiaBears (Was)D251992-01-01No182 Lbs5 ft9NoNoNo1Pro & Farm900,000$900,000$0$0$No
Kerby RychelBears (Was)LW231994-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm900,000$900,000$0$0$NoLink
Kirill MaksimovBears (Was)RW191998-01-01Yes207 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Kristians RubinsBears (Was)D211996-01-01Yes227 Lbs6 ft5NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Lane PedersonBears (Was)C211996-01-01Yes192 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Logan O'ConnorBears (Was)RW211996-01-01Yes174 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Mackenze StewartBears (Was)D211996-01-01Yes230 Lbs6 ft4NoNoNo2Pro & Farm450,000$450,000$0$0$No450,000$Link
Magnus HellbergBears (Was)G261991-01-01No185 Lbs6 ft5NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$
Mario FerraroBears (Was)D201997-01-01Yes209 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Max FribergBears (Was)RW251992-01-01No200 Lbs5 ft11NoNoNo3Pro & Farm900,000$900,000$0$0$No950,000$1,000,000$
Michael PrapavessisBears (Was)D211996-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Mike HoffmanBears (Was)LW281989-01-01No185 Lbs6 ft0NoNoNo1Pro & Farm650,000$650,000$0$0$No
Mikko VainonenBears (Was)D231994-01-01Yes222 Lbs6 ft2NoNoNo3Pro & Farm650,000$650,000$0$0$No650,000$650,000$
Nicholas CaamanoBears (Was)RW191998-01-01Yes201 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Nicolas Aube-KubelBears (Was)RW211996-01-01Yes187 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink
Nikolay ProkhorkinBears (Was)LW241993-01-01Yes190 Lbs6 ft2NoNoNo2Pro & Farm275,000$275,000$0$0$No275,000$Link
Ryan GravesBears (Was)D221995-01-01Yes225 Lbs6 ft4NoNoNo2Pro & Farm250,000$250,000$0$0$No250,000$Link
Taylor AronsonBears (Was)D261991-01-01No196 Lbs6 ft1NoNoNo3Pro & Farm600,000$600,000$0$0$No600,000$600,000$
Tommy VannelliBears (Was)D221995-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm600,000$600,000$0$0$No600,000$Link
Vincent DunnBears (Was)C221995-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm500,000$500,000$0$0$No500,000$500,000$
Warren FoegeleBears (Was)LW211996-01-01Yes198 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Will ReillyBears (Was)D211996-01-01Yes196 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Zach StepanBears (Was)C231994-01-01Yes165 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Zack HayesBears (Was)D191998-01-01Yes222 Lbs6 ft3NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4422.55196 Lbs6 ft11.73602,273$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mike HoffmanAngelo Esposito35014
2Zach StepanNicolas Aube-Kubel30023
3Dylan GambrellAustin Wuthrich20023
4Kerby Rychel15023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140023
2Tommy Vannelli30023
320032
410023
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mike HoffmanDylan Gambrell60014
2Zach StepanNicolas Aube-Kubel40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160023
2Tommy Vannelli40023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Zach StepanNicolas Aube-Kubel60041
240041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160041
2Tommy Vannelli40041
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Zach Stepan60050Tommy Vannelli60050
24005040050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dylan Gambrell55023
2Zach StepanMike Hoffman45023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160023
2Tommy Vannelli40023
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kerby RychelDylan Gambrell
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kerby RychelZach StepanNicolas Aube-Kubel
Extra Forwards
Normal PowerPlayPenalty Kill
, Nicolas Aube-Kubel, Mike HoffmanMike Hoffman,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, Mike Hoffman, , Nicolas Aube-Kubel, Dylan Gambrell
Goalie
#1 : , #2 :


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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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%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 %
000.00%000.00%000.00%
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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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 Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,650,000$ 2,117,500$ 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 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