Bears

GP: 63 | W: 12 | L: 50 | OTL: 1 | P: 25
GF: 136 | GA: 335 | PP%: 8.64% | PK%: 77.20%
GM : Mathieu Girard | Morale : 50 | Team Overall : 63
Next Games #1011 vs Wolfpack

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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 SP
1Nick Ritchie0X100.009072776691828567576668556571697150660
2Joe Snively0X100.005635916365817765776667616468693750640
3Nicolas Aube-Kubel0X100.008241766776748465556362566568706150640
4Anton Blidh0XX100.008040736277797863576259646068704150630
5Cooper Marody0X100.006037756571807864726760596367694250630
6Ben Meyers0X100.006137916371807362806460616365674250620
7Mavrik Bourque0X100.005736926766857268706361576961637850620
8Curtis Douglas0X100.009083595699788455655657635663656050620
9Hendrix Lapierre0X100.006038786670807164655662586561638250610
10Brett Sutter0X100.006540795774798556595758565776782450600
11Paul Thompson0X100.006846595777767756575559545875772350590
12James Greenway0X100.008650575395676652575350594965676350580
13Thomas Harley0X100.007139846784818566306459615062648350660
14Travis Dermott0X100.006636936875837364306259635168706650650
15Brandt Clarke0X100.006538826777826164306558625060628950630
16Ilya Solovyov0X100.007641835485668253305553584663654950610
17Luke Martin0X100.007540815584706554305752584665676950600
Scratches
1Gage Quinney0XX100.006337916672917963696664626568703650650
2Jimmy Huntington0X100.006640756075738159696257586165674250610
3Maxim Marushev0X100.006437915873768259625655575564664850590
4Kirill Tyutyayev0X100.005936945667686654575553525863654950560
5Navrin Mutter0X100.007244655381656952585354565362644350560
TEAM AVERAGE100.00704379617877766056605959586668545062
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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 SP
1Chris Driedger100.00786160887776787776787769835350740
2Erik Kallgren100.00757976837473757473757467775450730
Scratches
TEAM AVERAGE100.0077706886767577767577766880545074
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jay Leach65656966666182USA4491,000,000$


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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
1Nicolas Aube-KubelBears (Was)RW48172239334609649133348212.78%281416.96336331650001551064.47%7600000.9600000133
2Travis DermottBears (Was)D617222919300423143122816.28%4473412.050111144011156100.00%000000.7900000111
3Thomas HarleyBears (Was)D101111291402110214144.76%1024624.66101740022146000.00%000000.9700000021
4Joe SnivelyBears (Was)C6346105201233492611.76%11923.050227401012230061.57%21600001.0400000210
5Nick RitchieBears (Was)LW1073108355382142151816.67%224024.080004391012502057.26%11700000.8300001201
6Anton BlidhBears (Was)LW/RW10369760136314159.68%017017.03011738000011075.00%1200001.0600000010
7Cooper MarodyBears (Was)C10549800042671419.23%015415.42011423000002063.74%17100001.1700000002
8Brett SutterBears (Was)LW10347420452731111.11%112012.0300000000000020.00%500001.1600000011
9Curtis DouglasBears (Was)C10347428027102561912.00%314214.29000110001172071.54%12300000.9800000100
10Brandt ClarkeBears (Was)D10156960115165146.25%1221521.600111040011049000.00%000000.5600000000
11Paul ThompsonBears (Was)RW102464201031641112.50%012012.0800010000000044.44%900000.9900000000
12Mavrik BourqueBears (Was)C100554203685100.00%211711.7600004000040068.75%1600000.8500000000
13Tim GettingerWashington CapitalsLW/RW4325300452271013.64%18320.801013190001180060.00%500001.2000000100
14Luke MartinBears (Was)D1003341401956210.00%1015915.9300009000022000.00%000000.3800000000
15Ilya SolovyovBears (Was)D1003374151637570.00%1219319.38000436000034000.00%000000.3100001000
16Gage QuinneyBears (Was)C/LW11010000340225.00%01818.7200016000040038.89%1800001.0700000000
17James GreenwayBears (Was)LW101012204020050.00%0121.2600000000000050.00%200001.5900000000
18Ben MeyersBears (Was)C10000000145350.00%0343.4100029000070060.00%2000000.0000000000
19Hendrix LapierreBears (Was)C8000000011010.00%070.92000120000000100.00%200000.0000000000
20Jimmy HuntingtonBears (Was)C2000000020000.00%052.5700000000040075.00%400000.0000000000
Team Total or Average317581041621302301031019646912528812.37%100378411.9459149652424693979062.69%79600000.8600002899
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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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Chris DriedgerBears (Was)107210.9022.0658341202050000.2504100000
2Erik KallgrenBears (Was)107300.8922.2453702201850000.0000100110
Team Total or Average2014510.8972.14112043403900000.2504200110


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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 NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Anton BlidhLW/RW291995-03-14No197 Lbs6 ft1NoNoNo4UFAPro & Farm300,000$0$0$NoLink / NHL Link
Ben MeyersC251998-11-15No194 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Brandt ClarkeD212003-02-09No185 Lbs6 ft2NoNoNo4ELCPro & Farm900,000$0$0$NoLink / NHL Link
Brett SutterLW361987-06-02No200 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Chris DriedgerG291994-05-18No208 Lbs6 ft4NoNoNo1UFAPro & Farm2,000,000$0$0$NoLink / NHL Link
Cooper MarodyC271996-12-20No184 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Curtis DouglasC242000-03-06No235 Lbs6 ft9NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Erik KallgrenG271996-10-14No200 Lbs6 ft3NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Gage QuinneyC/LW281995-07-29No200 Lbs5 ft11NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Hendrix LapierreC222002-02-09No180 Lbs6 ft0NoNoNo4ELCPro & Farm900,000$0$0$NoLink / NHL Link
Ilya SolovyovD232000-07-20No208 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
James GreenwayLW251998-04-27No211 Lbs6 ft6NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jimmy HuntingtonC251998-11-18No204 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Joe SnivelyC281996-01-01No176 Lbs5 ft9NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Kirill TyutyayevLW232000-08-08No176 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Luke MartinD251998-09-20No219 Lbs6 ft2NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Mavrik BourqueC222002-01-08No178 Lbs5 ft10NoNoNo4ELCPro & Farm900,000$0$0$NoLink / NHL Link
Maxim MarushevC251999-01-01No176 Lbs6 ft1NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Navrin MutterLW232001-03-15No190 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Nick RitchieLW281995-12-05No236 Lbs6 ft3NoNoNo2UFAPro & Farm850,000$0$0$NoLink / NHL Link
Nicolas Aube-KubelRW271996-05-10No207 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Paul ThompsonRW351988-11-30No200 Lbs6 ft1NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Thomas HarleyD222001-08-19No205 Lbs6 ft3NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Travis DermottD271996-12-22No202 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2426.08199 Lbs6 ft12.71510,417$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nick RitchieJoe Snively40122
2Anton BlidhCooper MarodyNicolas Aube-Kubel30122
3Brett SutterCurtis DouglasPaul Thompson20122
4James GreenwayMavrik BourqueNick Ritchie10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Thomas HarleyTravis Dermott40122
2Brandt ClarkeIlya Solovyov30122
3Luke MartinMavrik Bourque20122
4Thomas HarleyTravis Dermott10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nick RitchieJoe Snively60122
2Anton BlidhCooper MarodyNicolas Aube-Kubel40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Thomas HarleyTravis Dermott60122
2Brandt ClarkeIlya Solovyov40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nick Ritchie60122
2Joe SnivelyNicolas Aube-Kubel40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Thomas HarleyTravis Dermott60122
2Brandt ClarkeIlya Solovyov40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nick Ritchie60122Thomas HarleyTravis Dermott60122
240122Brandt ClarkeIlya Solovyov40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nick Ritchie60122
2Joe SnivelyNicolas Aube-Kubel40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Thomas HarleyTravis Dermott60122
2Brandt ClarkeIlya Solovyov40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nick RitchieJoe SnivelyThomas HarleyTravis Dermott
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nick RitchieJoe SnivelyThomas HarleyTravis Dermott
Extra Forwards
Normal PowerPlayPenalty Kill
Ben Meyers, Hendrix Lapierre, Curtis DouglasBen Meyers, Hendrix LapierreCurtis Douglas
Extra Defensemen
Normal PowerPlayPenalty Kill
Luke Martin, Brandt Clarke, Ilya SolovyovLuke MartinBrandt Clarke, Ilya Solovyov
Penalty Shots
Nick Ritchie, , Joe Snively, Nicolas Aube-Kubel, Cooper Marody
Goalie
#1 : Erik Kallgren, #2 :
Custom OT Lines Forwards
Nick Ritchie, , Joe Snively, Nicolas Aube-Kubel, Cooper Marody, Anton Blidh, Anton Blidh, Curtis Douglas, Mavrik Bourque, Ben Meyers, Hendrix Lapierre
Custom OT Lines Defensemen
Thomas Harley, Travis Dermott, Brandt Clarke, Ilya Solovyov, Luke Martin


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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6325W313626339915612834820627107202
All Games
GPWLOTWOTL SOWSOLGFGA
6312500100136335
Home Games
GPWLOTWOTL SOWSOLGFGA
31525010073163
Visitor Games
GPWLOTWOTL SOWSOLGFGA
32725000063172
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
243218.64%2505777.20%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
51452252506040360
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
547150736.30%696221931.37%329101632.38%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
10026782112444666272


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
5 - 2023-08-1417Senators5Bears2LBoxScore
6 - 2023-08-1529Monsters3Bears5WBoxScore
11 - 2023-08-2037Bears1Bruins6LBoxScore
12 - 2023-08-2153Bears1Bruins8LBoxScore
13 - 2023-08-2259Bears3Islanders9LBoxScore
16 - 2023-08-2568Bears0Penguins2LBoxScore
19 - 2023-08-2888Phantoms5Bears1LBoxScore
20 - 2023-08-2999Penguins7Bears1LBoxScore
25 - 2023-09-03117Bears0Penguins7LBoxScore
26 - 2023-09-04126Islanders5Bears0LBoxScore
33 - 2023-09-11166Bears1Phantoms5LBoxScore
34 - 2023-09-12174Phantoms5Bears3LBoxScore
37 - 2023-09-15187Bears0Penguins4LBoxScore
39 - 2023-09-17192Islanders6Bears1LBoxScore
40 - 2023-09-18208Bears1Islanders6LBoxScore
44 - 2023-09-22230Penguins10Bears3LBoxScore
47 - 2023-09-25255Wild7Bears5LBoxScore
48 - 2023-09-26264Wild5Bears3LBoxScore
51 - 2023-09-29272Bears1Penguins5LBoxScore
53 - 2023-10-01277Bears5Checkers4WBoxScore
54 - 2023-10-02291Bears5Checkers6LBoxScore
60 - 2023-10-08315Bears2Crunch6LBoxScore
61 - 2023-10-09332Monsters4Bears3LBoxScore
62 - 2023-10-10347Checkers1Bears7WBoxScore
65 - 2023-10-13350Bruins2Bears1LXBoxScore
68 - 2023-10-16372Rocket4Bears1LBoxScore
69 - 2023-10-17385Thunderbirds6Bears2LBoxScore
74 - 2023-10-22407Bears1Thunderbirds8LBoxScore
75 - 2023-10-23416Bruins9Bears2LBoxScore
79 - 2023-10-27427Penguins7Bears1LBoxScore
81 - 2023-10-29444Bears0Americans7LBoxScore
82 - 2023-10-30457Bears1Phantoms7LBoxScore
86 - 2023-11-03472Checkers3Bears5WBoxScore
89 - 2023-11-06491Wolfpack8Bears0LBoxScore
90 - 2023-11-07503Phantoms9Bears1LBoxScore
96 - 2023-11-13538Bears2Phantoms7LBoxScore
98 - 2023-11-15549Bears0Islanders5LBoxScore
102 - 2023-11-19564Bears1Wolfpack7LBoxScore
103 - 2023-11-20578Penguins7Bears0LBoxScore
107 - 2023-11-24598Thunderbirds4Bears3LBoxScore
110 - 2023-11-27623Bears1Penguins7LBoxScore
111 - 2023-11-28640Marlies4Bears3LBoxScore
114 - 2023-12-01647Bears1Phantoms7LBoxScore
116 - 2023-12-03659Bears3Phantoms7LBoxScore
117 - 2023-12-04673Islanders4Bears1LBoxScore
123 - 2023-12-10689Bears1Bruins9LBoxScore
124 - 2023-12-11705Bears1Thunderbirds8LBoxScore
128 - 2023-12-15718Phantoms3Bears1LBoxScore
131 - 2023-12-18735Bears4Marlies2WBoxScore
133 - 2023-12-20756Bears2Senators7LBoxScore
135 - 2023-12-22762Bears2Rocket6LBoxScore
137 - 2023-12-24770Penguins7Bears1LBoxScore
138 - 2023-12-25787Americans8Bears1LBoxScore
145 - 2024-01-01833Comets3Bears2LBoxScore
146 - 2024-01-02844Bears3Phantoms1WBoxScore
151 - 2024-01-07858Bears9Checkers0WBoxScore
152 - 2024-01-08870Bears6Checkers0WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
158 - 2024-01-14906Bears1Comets7LBoxScore
159 - 2024-01-15918Crunch2Bears7WBoxScore
160 - 2024-01-16933Wolfpack6Bears2LBoxScore
164 - 2024-01-20950Bears2Monsters1WBoxScore
166 - 2024-01-22964Bears2Monsters1WBoxScore
169 - 2024-01-25983Bruins4Bears5WBoxScore
173 - 2024-01-291011Bears-Wolfpack-
176 - 2024-02-011023Phantoms-Bears-
179 - 2024-02-041042Bears-Wild-
180 - 2024-02-051051Bears-Wild-
186 - 2024-02-111077Phantoms-Bears-
187 - 2024-02-121092Bears-Penguins-
188 - 2024-02-131106Penguins-Bears-
191 - 2024-02-161110Checkers-Bears-
194 - 2024-02-191132Checkers-Bears-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance58,69629,651
Attendance PCT94.67%95.65%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
5 2850 - 95.00% 70,943$2,199,228$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
972,370$ 122,500$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 90,350$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
354,714$ 23 5,756$ 132,388$




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
Regular Season
128244230264327817610241211302212132874541231000431146895710927844672401001089173249308288028382069556112116574988817.67%4336784.53%81425253856.15%1282250451.20%636118253.81%223416731832545909462
128244230264327817610241211302212132874541231000431146895710927844672401001089173249308288028382069556112116574988817.67%4336784.53%81425253856.15%1282250451.20%636118253.81%223416731832545909462
13763924026142021515138201401201936924381910014131098227942023585600100747352196906326966251707551133014994587416.16%5326787.41%31341237956.37%1162235149.43%613106857.40%191213291783553907461
13763924026142021515138201401201936924381910014131098227942023585600100747352196906326966251707551133014994587416.16%5326787.41%31341237956.37%1162235149.43%613106857.40%191213291783553907461
1476332505544199155443813120343310180213820130211198752393199319518114072615721100685715681211162389212673585515.36%3373988.43%11110227348.83%1093253543.12%508101250.20%181213201943525863412
1476332505544199155443813120343310180213820130211198752393199319518114072615721100685715681211162389212673585515.36%3373988.43%11110227348.83%1093253543.12%508101250.20%181213201943525863412
158240310223425219557411819011111271002741221201123125953096252460712390979258245707828538042181647104415764257417.41%4336884.30%41223257847.44%1029254640.42%549121545.19%208415081922559955482
158240310223425219557411819011111271002741221201123125953096252460712390979258245707828538042181647104415764257417.41%4336884.30%41223257847.44%1029254640.42%549121545.19%208415081922559955482
1682165701314249395-1464192800112127198-714172901202122197-75432494086572001007968245407928458002766832106317193825614.66%44913170.82%4907247736.62%852235336.21%532135439.29%183413152227556891418
1682165701314249395-1464192800112127198-714172901202122197-75432494086572001007968245407928458002766832106317193825614.66%44913170.82%4907247736.62%852235336.21%532135439.29%183413152227556891418
1772175201002216360-14436102500001115175-603672701001101185-84382163615771008779492403073582583627447737551491294279.18%3257576.92%1803214837.38%749221333.85%440121036.36%147210562077492782340
1772175201002216360-14436102500001115175-603672701001101185-84382163615771008779492403073582583627447737551491294279.18%3257576.92%1803214837.38%749221333.85%440121036.36%147210562077492782340
1863125000100136335-199315250010073163-90327250000063172-109251362633990260403601561514522525028348206271072243218.64%2505777.20%2547150736.30%696221931.37%329101632.38%10026782112444666272
Total Regular Season100339047402645264229283199-27150118724701421122014631581-11850220322701224142214651618-1539712928496778951488601116986714293335149430999791682999087841303719490507376915.16%526895181.95%44141653029346.76%130303122341.73%68851509845.60%2370417086256856909112865428
Playoff
1240400000313-102020000035-22020000008-803580001204901513211112956852129.52%27485.19%0478952.81%6915245.39%325162.75%8860107304723
1240400000313-102020000035-22020000008-803580001204901513211112956852129.52%27485.19%0478952.81%6915245.39%325162.75%8860107304723
Total Playoff80800000626-2040400000610-440400000016-16061016000240980302642222581121704249.52%54885.19%09417852.81%13830445.39%6410262.75%177120214619446