Phantoms

GP: 27 | W: 17 | L: 8 | OTL: 2 | P: 36
GF: 107 | GA: 75 | PP%: 28.09% | PK%: 80.00%
GM : Samuel Bessette | Morale : 75 | Team Overall : 63
Next Games #469 vs Barracuda

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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
1Nicolas Aube-Kubel0XX100.00786285667778806459616263627170075650
2Rory Kerins (R)0X100.00613593686585836769666564686365075650
3Lukas Reichel (R)0XX100.00613694706981876774686063666567075650
4Danil Gushchin (R)0X100.00613684676290846668636561696365075640
5Marat Khusnutdinov (R)0X100.00673491696880776375616071596263075640
6Joona Koppanen0XX100.00823889619278845963605862576769075640
7Axel Jonsson-Fjallby (R)0XX100.00703793647579856258605961636769075630
8Jack Studnicka (R)0X100.00733979637587846468605865626668075630
9Jonas Rondbjerg (R)0XX100.00693894618281855955605864576668075630
10Parker Ford (R)0X100.00653874616885825961586357666567075610
11William Lockwood (R)0X100.00693987607177805755595856606769075610
12Samuel Bolduc (R)0X100.00784095639180816430626061536567075650
13Adam Wilsby (R)0X100.00653888667585786530645863516567075640
14Kyle Burroughs0X100.00836871637386806230645469497173075640
15Vladislav Kolyachonok (R)0X100.00693889677977746530666063526466075640
16Albert Johansson (R)0X100.00663881656883846430635665516466075630
17Jake Bischoff0X100.00663982627576825630605355467176075610
18Elias D. Pettersson (R)0X100.00684074647778736230605663496163075610
Scratches
1Nikita Prishchepov0X100.00673980567673715764585955576163075600
2Felix Unger Sorum (R)0X100.00623794597169715761585456556062075590
3Jamieson Rees (R)0X100.00573689586769775563565453586466075580
4Daniil Misyul (R)0X100.00694170598076795830575560486567075600
5Samuel Knazko (R)0X100.00683892587764785530575456466365075600
6Dawson Barteaux (R)0X100.00653893577465765630585254466567075590
TEAM AVERAGE100.0068408663747880615061586156656707562
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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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Matt Villalta (R)100.0077908681767577767577766675075670
2Nikke Kokko (R)100.0078777480777678777678776165075660
Scratches
1Dylan Garand (R)100.0076868270757476757476756369075650
2Sergei Murashov (R)100.0074757175737274737274736165075640
3Kevin Mandolese (R)100.0071797582706971706971706573075630
TEAM AVERAGE100.007581787874737574737574636907565
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Steve Spott62747872857962CAN573500,000$


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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.
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
1Lukas ReichelPhantoms (PHI)LW/RW2721183917201574130399616.15%1167324.94551021800000714260.27%22400001.1602000351
2Marat KhusnutdinovPhantoms (PHI)C2710213166048106132431067.58%860422.39461019640001291158.75%75400001.0311000135
3Nicolas Aube-KubelPhantoms (PHI)C/RW2711172810120623090266712.22%449618.4034717740000263055.77%5200001.1302000204
4Danil GushchinPhantoms (PHI)LW2717522610035431282710813.28%357021.143252065000002240.43%4700020.7700000302
5Adam WilsbyPhantoms (PHI)D275162192028336725357.46%2657321.253693484000162000.00%000000.7301000012
6Vladislav KolyachonokPhantoms (PHI)D274172124018374814348.33%3455120.432572262000153000.00%000000.7600000010
7Samuel BolducPhantoms (PHI)D20315181618039214016227.50%2948024.05145855000139000.00%000000.7500000021
8Rory KerinsPhantoms (PHI)C1471017800104066173910.61%430121.5602212420002461057.02%35600011.1301000020
9Kyle BurroughsPhantoms (PHI)D2741216134092384110279.76%3855520.563692764000041100.00%000000.5800000200
10Albert JohanssonPhantoms (PHI)D27112139803620288153.57%2238514.280004700001000.00%000000.6700000011
11Jonas RondbjergPhantoms (PHI)LW/RW2721113614038327416602.70%556721.041671464000000047.73%4400000.4600000000
12William LockwoodPhantoms (PHI)RW27381144042294411336.82%842815.8500001000000053.61%16600000.5100000000
13Joona KoppanenPhantoms (PHI)C/LW273811-311537555519465.45%641215.2900018000071055.65%46900000.5300001011
14Axel Jonsson-FjallbyPhantoms (PHI)LW/RW275510-27515326615407.58%236013.35000220001210052.08%4800000.5500001010
15Elias D. PetterssonPhantoms (PHI)D2717863353320176135.88%2237814.0100000000020010.00%000000.4200001100
16Jack StudnickaPhantoms (PHI)C273587603538327289.38%01907.0700013000001054.71%17000000.8400000001
17Parker FordPhantoms (PHI)RW10617240117227927.27%312712.7800000000002070.00%1000001.1000000200
18Jake BischoffPhantoms (PHI)D270445401057540.00%121565.780000200008000.00%000000.5100000000
Team Total or Average4491061922981091791560466010873117829.75%237781617.41254671202684000743116656.62%234000030.7617003141718
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
1Matt VillaltaPhantoms (PHI)2716820.9092.84151923727890110.8336270301
2Nikke KokkoPhantoms (PHI)41000.9780.53113001450000.0000027000
Team Total or Average3117820.9122.68163323738340110.83362727301


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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 WilsbyD252000-08-07Yes188 Lbs6 ft1NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Albert JohanssonD242001-01-04Yes168 Lbs6 ft0NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Axel Jonsson-FjallbyLW/RW271998-02-10Yes189 Lbs6 ft1NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Daniil MisyulD242000-10-20Yes176 Lbs6 ft3NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Danil GushchinLW232002-02-06Yes165 Lbs5 ft8NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Dawson BarteauxD252000-01-12Yes185 Lbs6 ft1NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Dylan GarandG232002-06-07Yes173 Lbs6 ft0NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Elias D. PetterssonD212004-02-16Yes185 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Felix Unger SorumRW202005-09-14Yes184 Lbs6 ft0NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jack StudnickaC261999-02-18Yes187 Lbs6 ft1NoNoNo2RFAPro & Farm850,000$0$0$NoLink / NHL Link
Jake BischoffD311994-07-25No188 Lbs6 ft1NoNoNo1UFAPro & Farm950,000$0$0$NoLink / NHL Link
Jamieson ReesC242001-02-26Yes172 Lbs5 ft11NoNoNo1RFAPro & Farm800,000$0$0$NoLink / NHL Link
Jonas RondbjergLW/RW261999-03-31Yes204 Lbs6 ft2NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Joona KoppanenC/LW271998-02-25No215 Lbs6 ft5NoNoNo1RFAPro & Farm999,999$0$0$NoLink / NHL Link
Kevin MandoleseG252000-08-22Yes180 Lbs6 ft4NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Kyle BurroughsD301995-07-12No193 Lbs6 ft0NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Lukas ReichelLW/RW232002-05-17Yes170 Lbs6 ft0NoNoNo1RFAPro & Farm999,999$0$0$NoLink / NHL Link
Marat KhusnutdinovC232002-07-17Yes176 Lbs5 ft11NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Matt VillaltaG261999-06-03Yes190 Lbs6 ft3NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Nicolas Aube-KubelC/RW291996-05-10No213 Lbs6 ft0NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Nikita PrishchepovC212004-02-20No194 Lbs6 ft1NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Nikke KokkoG212004-03-14Yes184 Lbs6 ft3NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Parker FordRW252000-07-20Yes181 Lbs5 ft9NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Rory KerinsC232002-04-12Yes175 Lbs5 ft10NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Samuel BolducD242000-12-09Yes224 Lbs6 ft4NoNoNo1RFAPro & Farm892,000$0$0$NoLink / NHL Link
Samuel KnazkoD232002-08-07Yes198 Lbs6 ft1NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Sergei MurashovG212004-04-01Yes175 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Vladislav KolyachonokD242001-05-26Yes195 Lbs6 ft2NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
William LockwoodRW271998-06-20Yes178 Lbs6 ft0NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2924.52186 Lbs6 ft11.69915,241$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lukas ReichelNicolas Aube-Kubel35122
2Danil GushchinMarat KhusnutdinovJonas Rondbjerg30122
3Axel Jonsson-FjallbyJoona Koppanen20122
4Lukas ReichelJack StudnickaWilliam Lockwood15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam Wilsby40122
2Kyle BurroughsVladislav Kolyachonok30122
3Albert JohanssonElias D. Pettersson20122
4Jake Bischoff10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lukas ReichelNicolas Aube-Kubel60122
2Danil GushchinMarat KhusnutdinovJonas Rondbjerg40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam Wilsby60122
2Kyle BurroughsVladislav Kolyachonok40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Lukas Reichel60122
2Nicolas Aube-KubelMarat Khusnutdinov40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam Wilsby60122
2Kyle BurroughsVladislav Kolyachonok40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Lukas Reichel60122Adam Wilsby60122
240122Kyle BurroughsVladislav Kolyachonok40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Lukas Reichel60122
2Nicolas Aube-KubelMarat Khusnutdinov40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam Wilsby60122
2Kyle BurroughsVladislav Kolyachonok40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Lukas ReichelNicolas Aube-KubelAdam Wilsby
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Lukas ReichelNicolas Aube-KubelAdam Wilsby
Extra Forwards
Normal PowerPlayPenalty Kill
Joona Koppanen, Jack Studnicka, Axel Jonsson-FjallbyJoona Koppanen, Jack StudnickaAxel Jonsson-Fjallby
Extra Defensemen
Normal PowerPlayPenalty Kill
Albert Johansson, Elias D. Pettersson, Jake BischoffAlbert JohanssonElias D. Pettersson, Jake Bischoff
Penalty Shots
Lukas Reichel, , Nicolas Aube-Kubel, Marat Khusnutdinov, Danil Gushchin
Goalie
#1 : Matt Villalta, #2 : Nikke Kokko
Custom OT Lines Forwards
Lukas Reichel, , Nicolas Aube-Kubel, Marat Khusnutdinov, Danil Gushchin, Joona Koppanen, Joona Koppanen, Jonas Rondbjerg, Jack Studnicka, Axel Jonsson-Fjallby,
Custom OT Lines Defensemen
, Adam Wilsby, Kyle Burroughs, Vladislav Kolyachonok, Albert Johansson


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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
2736L1107192299108883524318160713
All Games
GPWLOTWOTL SOWSOLGFGA
27158111110775
Home Games
GPWLOTWOTL SOWSOLGFGA
1610501005944
Visitor Games
GPWLOTWOTL SOWSOLGFGA
115310114831
Last 10 Games
WLOTWOTL SOWSOL
540001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
892528.09%701480.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
350363372104036292
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
592104356.76%51391855.88%23243553.33%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
728522560187346183


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 - 2025-10-0912Phantoms10Checkers4WBoxScore
5 - 2025-10-1130Phantoms5Wolves0WBoxScore
7 - 2025-10-1344Checkers3Phantoms5WBoxScore
10 - 2025-10-1665Moose5Phantoms3LBoxScore
12 - 2025-10-1881Wild3Phantoms7WBoxScore
14 - 2025-10-2094Firebirds4Phantoms6WBoxScore
17 - 2025-10-23113Phantoms3Senators2WXXBoxScore
19 - 2025-10-25127Sound Tigers3Phantoms1LBoxScore
22 - 2025-10-28150Penguins1Phantoms5WBoxScore
24 - 2025-10-30170Admirals4Phantoms5WBoxScore
26 - 2025-11-01188Marlies4Phantoms2LBoxScore
27 - 2025-11-02196Wranglers2Phantoms4WBoxScore
29 - 2025-11-04204Phantoms3Rocket4LBoxScore
31 - 2025-11-06223Phantoms4Admirals3WXBoxScore
33 - 2025-11-08232Senators4Phantoms3LXBoxScore
37 - 2025-11-12266Condors0Phantoms2WBoxScore
39 - 2025-11-14281Phantoms7Thunderbirds2WBoxScore
40 - 2025-11-15293Phantoms5Stars2WBoxScore
45 - 2025-11-20323Thunderbirds0Phantoms3WBoxScore
47 - 2025-11-22339Devils1Phantoms5WBoxScore
49 - 2025-11-24353Phantoms3Crunch4LXXBoxScore
51 - 2025-11-26363Phantoms5Checkers3WBoxScore
53 - 2025-11-28381Phantoms3Sound Tigers4LBoxScore
54 - 2025-11-29395Phantoms0Devils3LBoxScore
56 - 2025-12-01407Penguins4Phantoms2LBoxScore
58 - 2025-12-03423Americans1Phantoms3WBoxScore
62 - 2025-12-07453Eagles5Phantoms3LBoxScore
64 - 2025-12-09469Barracuda-Phantoms-
66 - 2025-12-11483Silver Knights-Phantoms-
68 - 2025-12-13501Wolves-Phantoms-
69 - 2025-12-14510Phantoms-Wolves-
71 - 2025-12-16521Phantoms-Rocket-
73 - 2025-12-18540Phantoms-Americans-
75 - 2025-12-20549Phantoms-Wolf Pack-
77 - 2025-12-22572Comets-Phantoms-
78 - 2025-12-23583Phantoms-IceHogs-
83 - 2025-12-28605Phantoms-Firebirds-
85 - 2025-12-30621Phantoms-Comets-
86 - 2025-12-31630Phantoms-Wranglers-
89 - 2026-01-03647Phantoms-Condors-
92 - 2026-01-06669Gulls-Phantoms-
94 - 2026-01-08686Marlies-Phantoms-
96 - 2026-01-10705Crunch-Phantoms-
98 - 2026-01-12719Crunch-Phantoms-
100 - 2026-01-14736Phantoms-Americans-
101 - 2026-01-15741Phantoms-Penguins-
103 - 2026-01-17755Wolf Pack-Phantoms-
105 - 2026-01-19775Phantoms-Silver Knights-
107 - 2026-01-21790Phantoms-Roadrunners-
109 - 2026-01-23805Phantoms-Eagles-
112 - 2026-01-26827Sound Tigers-Phantoms-
114 - 2026-01-28840Phantoms-Monsters-
115 - 2026-01-29843Phantoms-Bruins-
117 - 2026-01-31859Reign-Phantoms-
120 - 2026-02-03887Bears-Phantoms-
122 - 2026-02-05906Senators-Phantoms-
142 - 2026-02-25911Phantoms-Bears-
143 - 2026-02-26924Phantoms-Wolf Pack-
145 - 2026-02-28935Bruins-Phantoms-
147 - 2026-03-02954Phantoms-Marlies-
150 - 2026-03-05976Roadrunners-Phantoms-
152 - 2026-03-07993Phantoms-Penguins-
154 - 2026-03-091008Wolf Pack-Phantoms-
156 - 2026-03-111026Bears-Phantoms-
157 - 2026-03-121035Phantoms-Wild-
159 - 2026-03-141052Monsters-Phantoms-
163 - 2026-03-181082Phantoms-Gulls-
164 - 2026-03-191093Phantoms-Reign-
166 - 2026-03-211103Phantoms-Barracuda-
169 - 2026-03-241125Monsters-Phantoms-
171 - 2026-03-261142IceHogs-Phantoms-
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-281163Phantoms-Griffins-
174 - 2026-03-291172Stars-Phantoms-
176 - 2026-03-311184Phantoms-Bears-
178 - 2026-04-021195Griffins-Phantoms-
179 - 2026-04-031205Phantoms-Sound Tigers-
181 - 2026-04-051224Bruins-Phantoms-
183 - 2026-04-071236Phantoms-Devils-
185 - 2026-04-091247Phantoms-Griffins-
187 - 2026-04-111272Phantoms-Moose-
189 - 2026-04-131284Wolves-Phantoms-
190 - 2026-04-141294Rocket-Phantoms-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3020
Attendance31,32313,594
Attendance PCT97.88%84.96%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
-6 2807 - 93.58% 94,654$1,514,463$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,011,668$ 2,654,200$ 2,654,200$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 844,893$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
-567,924$ 130 16,428$ 2,135,640$




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
2024823728067223082664241221004401161120414115180232114714619930855586325110109811130901025104498749270783864419872856723.51%2685479.85%51649323950.91%1481294050.37%730135154.03%1981137819326021048522
202527158011111077532161050010059441511530101148311736107192299134036292108835036337210835243181607892528.09%701480.00%0592104356.76%51391855.88%23243553.33%728522560187346183
Total Regular Season1095236078334153417457321504501220164565220210333219517718135415747116238150145110134178137514071359593542108182525943749224.60%3386879.88%52241428252.34%1994385851.68%962178653.86%2709190024937891395705
Playoff
20247340000022220422000001310331200000912-362240620097512367280795222657114625312.00%27581.48%013225052.80%13227248.53%6511258.04%171116161539245
Total Playoff7340000022220422000001310331200000912-362240620097512367280795222657114625312.00%27581.48%013225052.80%13227248.53%6511258.04%171116161539245