Admirals

GP: 31 | W: 17 | L: 12 | OTL: 2 | P: 36
GF: 117 | GA: 105 | PP%: 30.61% | PK%: 78.30%
GM : Yves Cardinal | Morale : 75 | Team Overall : 62
Next Games #517 vs Thunderbirds

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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 SP
1Hendrix Lapierre (R)0X100.00633793727080856776716163686465075650
2Reese Johnson0X100.00796574627677786164605966586769075630
3Raphael Lavoie (R)0X100.00774273638987835964586257636667075630
4Joakim Kemell (R)0X100.00683785646982856352605957616263075620
5Patrick Giles (R)0X100.00804182579376845955565857596567075620
6Jaxon Nelson0X100.00803992578977675661555459536567075610
7Bradley Marek0X100.00774372558677745451535759566567075600
8Danny Katic0X100.00844761579365615558565460536567075600
9Lleyton Roed0X100.00613789587082715761595956586365075600
10Adam Erne (C)0X100.00716982588073725752565359557072075600
11Lucas Edmonds (R)0X100.00603792566967755559545753566466075590
12Denton Mateychuk (R)0X100.00613689716987736830696365586165075650
13Parker Wotherspoon (A)0X100.00735483657686816330685871506870075650
14Tristan Luneau (R)0X100.00683888667885746530676064526163075640
15Robert Hagg (A)0X100.00914275618278815830605663527271075630
16Mac Hollowell (R)0X100.00633972646375826230675254476769075610
17Alex Kannok-Leipert69X100.00737765557263785230545356456567075580
Scratches
1Jacob Gaucher0X86.19703984578078855967565855576466075610
2Yegor Sidorov (R)0X100.00623791617193706063596157626361075610
3Gabriel Seger0X100.00793994558867705460535759546668075600
4Ben Steeves0X100.00613972596185725660585753556365075590
5Matthew Seminoff (R)0X100.00573889567068845557545358526264075580
6Tyrel Bauer (R)0X100.00765661548564815330525156456365075580
7Joseph Arntsen0X100.00764371538566605230505554466264075570
TEAM AVERAGE99.4271458060787776585059575955656607561
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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
1Devon Levi (R)100.0081908673807981807981806471075680
2Cooper Black100.0073747098727173727173726471075650
Scratches
1Henrik Tikkanen100.0070807698696870696870696573075640
2Talyn Boyko100.0069716794686769686769686369075620
TEAM AVERAGE100.007379759172717372717372647107565
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Steve Potvin75677160777276CAN503750,000$


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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
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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.
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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
1Denton MateychukAdmirals (NSH)D30112637460386367275816.42%4976825.6258133286000290200.00%000010.9600000313
2Hendrix LapierreAdmirals (NSH)C271323364801799118408211.02%1363923.68461014751014861158.80%86400001.1300000310
3Tristan LuneauAdmirals (NSH)D3082230520145563154712.70%5664021.341672269000188200.00%000000.9400000122
4Reese JohnsonAdmirals (NSH)RW301218308300974694307912.77%667322.4523518830000782043.85%13000000.8900000331
5Parker WotherspoonAdmirals (NSH)D3010203043401206779193612.66%4875225.1095144486011272210.00%000000.8000000241
6Adam ErneAdmirals (NSH)LW3091322455242981175711.11%352617.5649132075000002058.54%4100000.8400100110
7Jacob GaucherAdmirals (NSH)C2861319-740154752194411.54%144515.902681051000070052.36%55200000.8500000001
8Joakim KemellAdmirals (NSH)RW3011617-22094971164115.49%640313.45000010000321162.22%4500000.8400000010
9Robert HaggAdmirals (NSH)D30215172600101424113354.88%3961920.631232270000063010.00%000000.5500000011
10Raphael LavoieAdmirals (NSH)C18611177100416448153812.50%338021.162358360001521060.09%44100000.8900000211
11Patrick GilesAdmirals (NSH)RW3097164100822872264612.50%659019.6714513740000581148.33%6000000.5400000011
12Lleyton RoedAdmirals (NSH)LW307815106072153194113.21%358119.390221082000081054.17%4800000.5200000002
13Mac HollowellAdmirals (NSH)D302131511403431194910.53%2643014.3600012000023100.00%000000.7000000011
14Danny KaticAdmirals (NSH)LW305712-4175601944113411.36%738612.90011120001230155.56%3600000.6200010011
15Bradley MarekAdmirals (NSH)LW30347212033262572512.00%1534211.4100000000000046.43%14000000.4100000001
16Jaxon NelsonAdmirals (NSH)C30167-16023372817293.57%436812.301124160001250052.22%42700000.3800000000
17Lucas EdmondsAdmirals (NSH)RW28213-120316216139.52%61796.4000000000000157.14%1400000.3400000000
18Ben SteevesAdmirals (NSH)LW15112-1001632033.33%1664.4700002000080059.46%3700000.6000000001
19Alex Kannok-LeipertAdmirals (NSH)D911216021251420.00%913014.450000000006100.00%000000.3100000100
20Gabriel SegerAdmirals (NSH)C80113801282130.00%910813.5100000000000050.00%2200000.1900000000
Team Total or Average523119216335432421075275598630572112.07%310903417.273256882198161121272817755.13%285700010.7400110161817
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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
1Devon LeviAdmirals (NSH)2917920.9053.12167520879120000.0000290301
2Cooper BlackAdmirals (NSH)30200.8464.8599008520100.0000130000
Team Total or Average32171120.9013.21177420959640100.00003030301


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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
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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
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 Erne (1 Way Contract)LW301995-04-20No215 Lbs6 ft1NoNoNo2UFAPro & Farm2,337,000$2,337,000$1,509,312$NoLink / NHL Link
Alex Kannok-LeipertD252000-07-20No190 Lbs6 ft0NoNoNo1RFAPro & Farm755,000$0$0$NoLink / NHL Link
Ben SteevesLW232002-05-10No165 Lbs5 ft8NoNoNo1RFAPro & Farm760,000$0$0$NoLink / NHL Link
Bradley MarekLW242000-11-13No212 Lbs6 ft3NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Cooper BlackG242001-06-14No223 Lbs6 ft8NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Danny KaticLW252000-08-04No220 Lbs6 ft5NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Denton MateychukD212004-07-12Yes185 Lbs5 ft11NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Devon LeviG232001-12-27Yes192 Lbs6 ft0NoNoYes1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Gabriel SegerC251999-11-15No209 Lbs6 ft4NoNoNo1RFAPro & Farm760,000$0$0$NoLink / NHL Link
Hendrix LapierreC232002-02-09Yes180 Lbs6 ft0NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Henrik TikkanenG252000-09-28No222 Lbs6 ft8NoNoNo2RFAPro & Farm985,000$0$0$NoLink / NHL Link
Jacob Gaucher (Out of Payroll)C242001-03-09No185 Lbs6 ft3NoNoNo2RFAPro & Farm999,999$0$0$YesLink / NHL Link
Jaxon NelsonC252000-03-30No215 Lbs6 ft4NoNoNo1RFAPro & Farm760,000$0$0$NoLink / NHL Link
Joakim KemellRW212004-04-27Yes182 Lbs5 ft11NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Joseph ArntsenD222003-05-22No210 Lbs6 ft3NoNoNo1RFAPro & Farm755,000$0$0$NoLink / NHL Link
Lleyton RoedLW232002-08-08No179 Lbs6 ft0NoNoNo1RFAPro & Farm760,000$0$0$NoLink / NHL Link
Lucas EdmondsRW242001-01-27Yes185 Lbs5 ft11NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Mac HollowellD271998-09-26Yes170 Lbs5 ft9NoNoNo1RFAPro & Farm850,000$0$0$NoLink / NHL Link
Matthew SeminoffRW212003-12-27Yes188 Lbs5 ft11NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Parker WotherspoonD281997-08-24No192 Lbs6 ft1NoNoYes3UFAPro & Farm1,502,000$0$0$NoLink / NHL Link
Patrick GilesRW252000-01-03Yes218 Lbs6 ft5NoNoNo2RFAPro & Farm837,900$0$0$NoLink / NHL Link
Raphael LavoieC252000-09-25Yes215 Lbs6 ft4NoNoNo1RFAPro & Farm775,000$0$0$NoLink / NHL Link
Reese JohnsonRW271998-07-10No193 Lbs6 ft1NoNoNo2RFAPro & Farm867,100$0$0$NoLink / NHL Link
Robert Hagg (1 Way Contract)D301995-02-08No210 Lbs6 ft2NoNoNo2UFAPro & Farm2,955,000$2,955,000$1,908,438$NoLink / NHL Link
Talyn BoykoG222002-10-16No206 Lbs6 ft6NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Tristan LuneauD212004-01-12Yes202 Lbs6 ft1NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Tyrel BauerD232002-03-23Yes206 Lbs6 ft3NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Yegor SidorovRW212004-06-18Yes184 Lbs6 ft0NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2824.18198 Lbs6 ft21.711,043,178$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lleyton RoedHendrix LapierreReese Johnson40122
2Adam ErneRaphael LavoiePatrick Giles30122
3Danny KaticJoakim Kemell20122
4Bradley MarekJaxon NelsonLucas Edmonds10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Denton MateychukParker Wotherspoon40122
2Tristan LuneauRobert Hagg30122
3Mac HollowellAlex Kannok-Leipert20122
4Denton MateychukParker Wotherspoon10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lleyton RoedHendrix LapierreReese Johnson60122
2Adam ErneRaphael LavoiePatrick Giles40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Denton MateychukParker Wotherspoon60122
2Tristan LuneauRobert Hagg40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Hendrix LapierreRaphael Lavoie60122
2Reese JohnsonPatrick Giles40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Denton MateychukParker Wotherspoon60122
2Tristan LuneauRobert Hagg40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Hendrix Lapierre60122Denton MateychukParker Wotherspoon60122
2Raphael Lavoie40122Tristan LuneauRobert Hagg40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Hendrix LapierreRaphael Lavoie60122
2Reese JohnsonPatrick Giles40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Denton MateychukParker Wotherspoon60122
2Tristan LuneauRobert Hagg40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Lleyton RoedHendrix LapierreReese JohnsonDenton MateychukParker Wotherspoon
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Lleyton RoedHendrix LapierreReese JohnsonDenton MateychukParker Wotherspoon
Extra Forwards
Normal PowerPlayPenalty Kill
Joakim Kemell, , Jaxon NelsonJoakim Kemell, Jaxon Nelson
Extra Defensemen
Normal PowerPlayPenalty Kill
Mac Hollowell, Alex Kannok-Leipert, Tristan LuneauMac HollowellAlex Kannok-Leipert, Tristan Luneau
Penalty Shots
Hendrix Lapierre, Raphael Lavoie, Reese Johnson, Patrick Giles, Joakim Kemell
Goalie
#1 : Devon Levi, #2 : Cooper Black
Custom OT Lines Forwards
Hendrix Lapierre, Raphael Lavoie, Reese Johnson, Patrick Giles, Joakim Kemell, , , Jaxon Nelson, Lleyton Roed, Adam Erne, Danny Katic
Custom OT Lines Defensemen
Denton Mateychuk, Parker Wotherspoon, Tristan Luneau, Robert Hagg, Mac Hollowell


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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3136W3117214331974104731324276200
All Games
GPWLOTWOTL SOWSOLGFGA
3116121200117105
Home Games
GPWLOTWOTL SOWSOLGFGA
1811511006658
Visitor Games
GPWLOTWOTL SOWSOLGFGA
135701005147
Last 10 Games
WLOTWOTL SOWSOL
820000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
983030.61%1062378.30%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
31932732444342311
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
591105755.91%579110952.21%28553053.77%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
772540698219397203


Last Played Games
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
3 - 2025-10-0916Monsters7Admirals3LBoxScore
5 - 2025-10-1132Roadrunners8Admirals3LBoxScore
7 - 2025-10-1341Admirals2Senators4LBoxScore
8 - 2025-10-1449Admirals0Marlies1LBoxScore
10 - 2025-10-1662Admirals6Rocket1WBoxScore
12 - 2025-10-1884Admirals2Moose3LXBoxScore
15 - 2025-10-21105Gulls6Admirals4LBoxScore
17 - 2025-10-23118Comets2Admirals4WBoxScore
19 - 2025-10-25137Reign3Admirals4WBoxScore
20 - 2025-10-26145Stars2Admirals4WBoxScore
22 - 2025-10-28156Crunch3Admirals1LBoxScore
24 - 2025-10-30170Admirals4Phantoms5LBoxScore
26 - 2025-11-01183Wranglers1Admirals4WBoxScore
28 - 2025-11-03201Comets2Admirals3WBoxScore
29 - 2025-11-04208Admirals5Wild3WBoxScore
31 - 2025-11-06223Phantoms4Admirals3LXBoxScore
33 - 2025-11-08233Stars4Admirals0LBoxScore
35 - 2025-11-10253Admirals2Wolf Pack4LBoxScore
39 - 2025-11-14279Penguins3Admirals4WBoxScore
41 - 2025-11-16296Admirals3Penguins4LBoxScore
47 - 2025-11-22343Eagles1Admirals5WBoxScore
49 - 2025-11-24357Checkers1Admirals2WXBoxScore
51 - 2025-11-26361Admirals7Griffins4WBoxScore
53 - 2025-11-28389Admirals4IceHogs7LBoxScore
54 - 2025-11-29397Moose5Admirals6WBoxScore
57 - 2025-12-02416Wranglers2Admirals7WBoxScore
59 - 2025-12-04429Admirals6Checkers2WBoxScore
61 - 2025-12-06447Admirals6Wolves7LBoxScore
64 - 2025-12-09475Eagles3Admirals5WBoxScore
66 - 2025-12-11487Thunderbirds1Admirals4WBoxScore
68 - 2025-12-13506Admirals4Eagles2WBoxScore
70 - 2025-12-15517Admirals-Thunderbirds-
72 - 2025-12-17532Wolves-Admirals-
75 - 2025-12-20558Marlies-Admirals-
76 - 2025-12-21567Wolf Pack-Admirals-
78 - 2025-12-23582Admirals-Wild-
82 - 2025-12-27595Admirals-Thunderbirds-
84 - 2025-12-29612Admirals-Roadrunners-
86 - 2025-12-31623Admirals-Silver Knights-
87 - 2026-01-01639Admirals-Firebirds-
89 - 2026-01-03654Admirals-Wranglers-
92 - 2026-01-06674Admirals-Condors-
94 - 2026-01-08689Sound Tigers-Admirals-
96 - 2026-01-10707IceHogs-Admirals-
97 - 2026-01-11713Bears-Admirals-
99 - 2026-01-13731Condors-Admirals-
102 - 2026-01-16752Admirals-Eagles-
103 - 2026-01-17765Admirals-Silver Knights-
106 - 2026-01-20784Americans-Admirals-
108 - 2026-01-22798Senators-Admirals-
110 - 2026-01-24811Roadrunners-Admirals-
113 - 2026-01-27830Admirals-Bruins-
115 - 2026-01-29847Admirals-Devils-
117 - 2026-01-31867Admirals-Sound Tigers-
119 - 2026-02-02880Thunderbirds-Admirals-
121 - 2026-02-04896Wild-Admirals-
122 - 2026-02-05907Admirals-Bears-
143 - 2026-02-26926IceHogs-Admirals-
145 - 2026-02-28945Admirals-Stars-
147 - 2026-03-02955Griffins-Admirals-
148 - 2026-03-03963Admirals-Monsters-
150 - 2026-03-05979Bruins-Admirals-
152 - 2026-03-07992Admirals-Americans-
155 - 2026-03-101024Admirals-Firebirds-
157 - 2026-03-121038Admirals-Comets-
160 - 2026-03-151061Admirals-Condors-
162 - 2026-03-171072Admirals-Moose-
164 - 2026-03-191088Firebirds-Admirals-
166 - 2026-03-211100Silver Knights-Admirals-
167 - 2026-03-221113Admirals-IceHogs-
169 - 2026-03-241129Barracuda-Admirals-
171 - 2026-03-261144Devils-Admirals-
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-281161Rocket-Admirals-
174 - 2026-03-291168Admirals-Crunch-
178 - 2026-04-021204Admirals-Reign-
180 - 2026-04-041220Admirals-Barracuda-
182 - 2026-04-061232Admirals-Reign-
183 - 2026-04-071243Admirals-Gulls-
185 - 2026-04-091257Admirals-Roadrunners-
187 - 2026-04-111267Wild-Admirals-
189 - 2026-04-131287Barracuda-Admirals-
192 - 2026-04-161307Gulls-Admirals-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3020
Attendance35,42415,787
Attendance PCT98.40%87.71%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
-8 2845 - 94.84% 95,726$1,723,074$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,076,450$ 2,391,700$ 2,291,700$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 810,316$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
-765,811$ 124 16,363$ 2,029,012$




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
202482333306613283300-1741201500411143145-241131806202140155-15892835127954010390839266785195683339296384472321302415824.07%3096977.67%21399289448.34%1473308447.76%624135146.19%1915129919806061066528
20253116120120011710512181150110066588135700100514743611721433100434231197431932732441047313242762983030.61%1062378.30%1591105755.91%579110952.21%28553053.77%772540698219397203
Total Regular Season113494507813400405-559312001511209203654182506302191202-11125400726112640146132114103641117012831157434010115796528923398825.96%4159277.83%31990395150.37%2052419348.94%909188148.33%2688183926788261463732
Playoff
2024514000001624-821100000610-4303000001014-42162642007540131384051220957461239444.44%22768.18%08916753.29%10422446.43%459149.45%10772133386330
Total Playoff514000001624-821100000610-4303000001014-42162642007540131384051220957461239444.44%22768.18%08916753.29%10422446.43%459149.45%10772133386330