Moose

GP: 4 | W: 1 | L: 2 | OTL: 1 | P: 3
GF: 11 | GA: 16 | PP%: 20.00% | PK%: 76.92%
GM : Pascal Lupien | Morale : 75 | Team Overall : 61
Next Games #69 vs Gulls

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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
1Luca Del Bel BelluzX100.006337956874848766706764626864657375650
2Dalibor DvorskyX100.006939886779858668736165646961638675640
3Jacob Quillan (R)X100.007139856478808561656260686364664375630
4Logan MorrisonX100.006138876570858662676463616564664375630
5Adam SykoraX100.006837916271828759615865635962646875620
6Graeme ClarkeXX100.006039816469948463586261606365676275620
7Aydar Suniev (R)X100.006838936280788459535860566163646675610
8Brayden Yager (R)X100.005736955968798758605755625961638475600
9Jared DavidsonX100.006739736069818558615760576264665675600
10Tanner Howe (R)X100.006143626068776958635961576261637475590
11Colby Barlow (R)X100.006337925872757156515355525861638375580
12Zac FunkX100.006741735676796354585553575263654475580
13Atro Leppanen (R)X100.006238836471788063306658625368703675630
14Jaycob MegnaX100.008172876095808657305452694674762675630
15Dmitri Simashev (R)X100.007342756686838563306556624961638875630
16Theo Lindstein (R)X100.006437906474818963306162605261627975620
17Christian KyrouX100.005736946466707759306256554863657175600
18Tommy Bergsland (R)X100.007138915480637253305251554565674275580
Scratches
1Ben KingX100.007443735683717554615557585464665975590
2Kenta Isogai (R)X100.005936955669687054525355575662644475580
3Rasmus Kumpulainen (R)X100.007039845579697854585352565461637175580
4Fabian Wagner (R)XX100.005536935664717454515355525662644975570
5Scooter Brickey (R)X100.008042785589646854305350584567693775590
TEAM AVERAGE100.00664085617577795951585859566465607561
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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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Aleksei Kolosov100.00758581767473757473757464716375640
2Riley Mercer (R)100.00687470776766686766686762674575600
Scratches
1Cameron Whitehead (R)100.00647470776362646362646365695775580
TEAM AVERAGE100.0069787477686769686769686469557561
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ryan Mougenel66757369777276CAN5031,000,000$


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
1Atro LeppanenMoose (WPG)D41562407241225.00%38822.1802208000011000.00%000001.3500000001
2Luca Del Bel BelluzMoose (WPG)C41341407912678.33%210125.330111100000120056.78%11800000.7901000000
3Adam SykoraMoose (WPG)LW41233004011529.09%18521.48011410000020037.50%800000.7000000000
4Graeme ClarkeMoose (WPG)C/RW421330084112318.18%08120.48101110000000057.14%700000.7300000100
5Dalibor DvorskyMoose (WPG)C4202-3001111661612.50%08721.86000160000131057.50%8000000.4601000100
6Colby BarlowMoose (WPG)RW4022-200149130.00%06215.7200001000000033.33%300000.6400000000
7Logan MorrisonMoose (WPG)C4022-100155280.00%15213.1300000000030048.72%3900000.7601000000
8Zac FunkMoose (WPG)RW4022-220528390.00%06516.320001400000000.00%400000.6100000000
9Tanner HoweMoose (WPG)LW4202-3005292622.22%06716.8000000000040033.33%300000.6000000010
10Aydar SunievMoose (WPG)LW4011-120246240.00%36716.79000060000000100.00%200000.3000000000
11Henry ThrunJetsD3011-420871240.00%87224.120000300007000.00%000000.2800000001
12Dmitri SimashevMoose (WPG)D4101-4208463216.67%89724.43101410000011000.00%000000.2000000000
13Theo LindsteinMoose (WPG)D410104011553020.00%46917.430001600003010.00%000000.2900000000
14Brayden YagerMoose (WPG)C4000000010000.00%041.1900000000020060.00%500000.0000000000
15Christian KyrouMoose (WPG)D4000-120611010.00%36716.960000000008000.00%000000.0000000000
16Jaycob MegnaMoose (WPG)D1000020212000.00%22020.720001400002000.00%000000.0000000000
17Jacob QuillanMoose (WPG)C4000-300213240.00%0246.1600000000030048.48%3300000.0000000000
18Jared DavidsonMoose (WPG)C4000000100000.00%020.54000000000000100.00%100000.0000000000
19Tommy BergslandMoose (WPG)D4000100902020.00%36917.360000000002000.00%000000.0000000000
Team Total or Average72111930-14240886311140739.91%38118916.5224614840000891153.80%30300000.5003000212
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
1Hampton SlukynskyJets31110.8833.27165609770000.500230000
2Aleksei KolosovMoose (WPG)20100.8294.5679006350000.000013000
Team Total or Average51210.8663.6924460151120000.500243000


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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adam SykoraLW232004-09-07No193 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Aleksei KolosovG252002-01-04No185 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Atro LeppanenD291998-12-14Yes183 Lbs6 ft0NoNoNo3UFAPro & Farm925,000$0$0$NoLink / NHL Link
Aydar SunievLW232004-11-16Yes198 Lbs6 ft2NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Ben KingC252002-05-15No200 Lbs6 ft3NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Brayden YagerC222005-01-03Yes180 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Cameron WhiteheadG242003-06-13Yes170 Lbs6 ft3NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Christian KyrouD242003-09-16No166 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Colby BarlowRW222005-02-14Yes190 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Dalibor DvorskyC222005-06-15No207 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Dmitri SimashevD222005-02-04Yes198 Lbs6 ft4NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Fabian WagnerC/RW232004-05-07Yes170 Lbs5 ft10NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Graeme ClarkeC/RW262001-04-24No175 Lbs6 ft0NoNoNo1RFAPro & Farm960,000$0$0$NoLink / NHL Link
Jacob Quillan (1 Way Contract)C252002-02-02Yes204 Lbs6 ft1NoNoNo2RFAPro & Farm1,750,000$1,750,000$1,668,814$NoLink / NHL Link
Jared DavidsonC252002-07-07No183 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jaycob Megna (1 Way Contract)D351992-12-10No214 Lbs6 ft6NoNoYes2UFAPro & Farm3,125,000$3,125,000$2,980,026$NoLink / NHL Link
Kenta IsogaiLW232004-08-28Yes177 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Logan MorrisonC252002-07-09No179 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Luca Del Bel BelluzC242003-11-10No185 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Rasmus KumpulainenC222005-08-08Yes191 Lbs6 ft2NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Riley MercerG232004-03-31Yes200 Lbs6 ft1NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Scooter BrickeyD281999-05-27Yes214 Lbs6 ft4NoNoNo1UFAPro & Farm900,000$0$0$NoLink / NHL Link
Tanner HoweLW222005-11-28Yes183 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Theo LindsteinD222005-01-05Yes197 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Tommy BergslandD262001-03-23Yes185 Lbs6 ft3NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Zac FunkRW242003-07-20No210 Lbs6 ft0NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2624.38190 Lbs6 ft11.921,039,808$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Adam SykoraLuca Del Bel BelluzGraeme Clarke40122
2Aydar SunievDalibor DvorskyZac Funk30122
3Tanner HoweJacob QuillanColby Barlow20122
4Luca Del Bel BelluzLogan MorrisonDalibor Dvorsky10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dmitri SimashevAtro Leppanen40122
2Jaycob MegnaTheo Lindstein30122
3Christian KyrouTommy Bergsland20122
4Dmitri SimashevAtro Leppanen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Adam SykoraLuca Del Bel BelluzGraeme Clarke60122
2Aydar SunievDalibor DvorskyZac Funk40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Dmitri SimashevAtro Leppanen60122
2Jaycob MegnaTheo Lindstein40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Luca Del Bel BelluzDalibor Dvorsky60122
2Jacob QuillanLogan Morrison40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Dmitri SimashevAtro Leppanen60122
2Jaycob MegnaTheo Lindstein40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Luca Del Bel Belluz60122Dmitri SimashevAtro Leppanen60122
2Dalibor Dvorsky40122Jaycob MegnaTheo Lindstein40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Luca Del Bel BelluzDalibor Dvorsky60122
2Jacob QuillanLogan Morrison40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dmitri SimashevAtro Leppanen60122
2Jaycob MegnaTheo Lindstein40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Adam SykoraLuca Del Bel BelluzGraeme ClarkeDmitri SimashevAtro Leppanen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Adam SykoraLuca Del Bel BelluzGraeme ClarkeDmitri SimashevAtro Leppanen
Extra Forwards
Normal PowerPlayPenalty Kill
Jared Davidson, Brayden Yager, Tanner HoweJared Davidson, Brayden YagerTanner Howe
Extra Defensemen
Normal PowerPlayPenalty Kill
Christian Kyrou, Tommy Bergsland, Jaycob MegnaChristian KyrouTommy Bergsland, Jaycob Megna
Penalty Shots
Luca Del Bel Belluz, Dalibor Dvorsky, Jacob Quillan, Logan Morrison, Adam Sykora
Goalie
#1 : Aleksei Kolosov, #2 : Riley Mercer


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
43L111193011111238308800
All Games
GPWLOTWOTL SOWSOLGFGA
41200011116
Home Games
GPWLOTWOTL SOWSOLGFGA
2020000410
Visitor Games
GPWLOTWOTL SOWSOLGFGA
210000176
Last 10 Games
WLOTWOTL SOWSOL
120001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
10220.00%13376.92%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
44264044520
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
6911758.97%6011552.17%346850.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
986996275024


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
4 - 2026-10-0219Bruins6Moose1LBoxScore
6 - 2026-10-0435Moose4Griffins5LXXBoxScore
7 - 2026-10-0542Moose3Penguins1WBoxScore
9 - 2026-10-0753Eagles4Moose3LBoxScore
11 - 2026-10-0969Gulls-Moose-
15 - 2026-10-1399Wild-Moose-
17 - 2026-10-15114Moose-IceHogs-
19 - 2026-10-17122Wolves-Moose-
22 - 2026-10-20147Moose-Thunderbirds-
24 - 2026-10-22160Moose-Stars-
27 - 2026-10-25182Rocket-Moose-
29 - 2026-10-27192Checkers-Moose-
31 - 2026-10-29206Moose-Crunch-
32 - 2026-10-30215Moose-Checkers-
34 - 2026-11-01227Moose-Wolves-
36 - 2026-11-03241Moose-Rocket-
38 - 2026-11-05260Canucks-Moose-
41 - 2026-11-08281Crunch-Moose-
43 - 2026-11-10291Comets-Moose-
45 - 2026-11-12307Moose-Stars-
47 - 2026-11-14313Moose-IceHogs-
50 - 2026-11-17341Senators-Moose-
52 - 2026-11-19355Hammers-Moose-
54 - 2026-11-21369Silver Knights-Moose-
56 - 2026-11-23382Roadrunners-Moose-
58 - 2026-11-25386Moose-Bruins-
60 - 2026-11-27412Moose-Hammers-
61 - 2026-11-28420Moose-Comets-
63 - 2026-11-30433IceHogs-Moose-
65 - 2026-12-02447Moose-Roadrunners-
68 - 2026-12-05472Moose-Silver Knights-
69 - 2026-12-06480Moose-Gulls-
71 - 2026-12-08493Phantoms-Moose-
73 - 2026-12-10506IceHogs-Moose-
75 - 2026-12-12516Moose-Wild-
78 - 2026-12-15544Moose-Thunderbirds-
82 - 2026-12-19571Stars-Moose-
83 - 2026-12-20580Stars-Moose-
85 - 2026-12-22598Moose-Admirals-
89 - 2026-12-26607Moose-Wild-
91 - 2026-12-28624Barracuda-Moose-
94 - 2026-12-31648Moose-Wranglers-
96 - 2027-01-02659Wranglers-Moose-
98 - 2027-01-04674Moose-Americans-
101 - 2027-01-07701Admirals-Moose-
103 - 2027-01-09716Roadrunners-Moose-
105 - 2027-01-11725Moose-Marlies-
108 - 2027-01-14747Moose-Senators-
110 - 2027-01-16761Gulls-Moose-
111 - 2027-01-17775Moose-Condors-
113 - 2027-01-19790Wild-Moose-
115 - 2027-01-21805Wolf Pack-Moose-
118 - 2027-01-24824Americans-Moose-
122 - 2027-01-28851Moose-Monsters-
124 - 2027-01-30864Moose-Phantoms-
127 - 2027-02-02884Moose-Bears-
128 - 2027-02-03889Moose-Wolf Pack-
138 - 2027-02-13926Moose-Canucks-
140 - 2027-02-15935Moose-Barracuda-
142 - 2027-02-17946Reign-Moose-
144 - 2027-02-19965Thunderbirds-Moose-
146 - 2027-02-21982Penguins-Moose-
148 - 2027-02-23998Moose-Admirals-
150 - 2027-02-251011Moose-Eagles-
152 - 2027-02-271028Moose-Firebirds-
154 - 2027-03-011039Firebirds-Moose-
158 - 2027-03-051067Bears-Moose-
160 - 2027-03-071083Wranglers-Moose-
162 - 2027-03-091098Griffins-Moose-
164 - 2027-03-111113Marlies-Moose-
166 - 2027-03-131121Admirals-Moose-
168 - 2027-03-151146Moose-Silver Knights-
169 - 2027-03-161153Moose-Reign-
171 - 2027-03-181167Barracuda-Moose-
173 - 2027-03-201179Monsters-Moose-
176 - 2027-03-231203Thunderbirds-Moose-
178 - 2027-03-251218Eagles-Moose-
180 - 2027-03-271232Moose-Eagles-
184 - 2027-03-311261Moose-Reign-
187 - 2027-04-031284Moose-Firebirds-
189 - 2027-04-051301Moose-Roadrunners-
191 - 2027-04-071314Condors-Moose-
193 - 2027-04-091327Canucks-Moose-
194 - 2027-04-101343Moose-Condors-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30002000
Ticket Price5030
Attendance5,1003,400
Attendance PCT85.00%85.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 4250 - 85.00% 169,575$339,150$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
154,943$ 2,216,000$ 2,216,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 108,550$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
6,783,000$ 185 16,577$ 3,066,745$




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
202056192903221174210-36288170111078108-302811120211196102-65117431148510069495119310642633639204554940913541804323.89%1904476.84%61039205650.54%1043210949.45%43892747.25%12898721360420732360
202182244404433244291-4741142300202123138-1541102104231121153-326924445369701090836425510834836851281980874419602544919.29%3336779.88%51403278750.34%1484303748.86%654132449.40%1896128520016241066522
20228242320340126824523412315012001371162141191702201131129295268483751280109867027160900888913283582578420163107524.19%3417578.01%31570304051.64%1618315351.32%691128653.73%1915129019676201060523
202383323606432276290-14411914031221511381342132203310125152-278827649276821093957926930910848911277782767318483057123.28%2955282.37%61476291650.62%1512294951.27%748140853.13%1915129820186321093538
202482274106233212256-444117170302212112014110240321191136-457721238359522060796421380664721718235071666118692384619.33%2736675.82%21260253249.76%1332272948.81%593123747.94%1940133619746041050521
2025823337054122212192411916022111211021941142103201100117-178422141263313090646122850744754766223565550018632745218.98%2173782.95%21299267448.58%1255253849.45%605122549.39%2000138719045951050532
2026412000011116-520200000410-6210000017613111930004520111442640411238308810220.00%13376.92%06911758.97%6011552.17%346850.00%986996275024
Total Regular Season47117822102720121314061527-1212351001040108677357323236781170171266671795-12446714062553395981545164583891442544472047204802151734418380110998157133821.51%166234479.30%2481161612250.34%83041663049.93%3763747550.34%11055754011323352561043023
Playoff
2022734000002527-2321000001612441300000915-66254873000104102400827087273725616633721.21%25772.00%014525457.09%12627046.67%6311654.31%162112169538743
Total Playoff734000002527-2321000001612441300000915-66254873000104102400827087273725616633721.21%25772.00%014525457.09%12627046.67%6311654.31%162112169538743