Phantoms

GP: 17 | W: 12 | L: 5 | OTL: 0 | P: 24
GF: 46 | GA: 32 | PP%: 13.86% | PK%: 92.78%
GM : Kriss Cardenas | Morale : 50 | Team Overall : 62
Next Games #271 vs Bears

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 #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
1Tyson Jost0X99.006939816670798364726261636769687350640
2Cole Guttman0X99.006237836663888664726563626466694750640
3Danil Gushchin0X99.006136846762908466686365616963656750640
4Alex Barre-Boulet0XXX99.006236856568878364706662616368703650640
5Egor Sokolov0XX99.007940816488858763586062616365676450640
6Rodrigo Abols0X100.007639936588777264686162636569714050640
7Seth Griffith0XX99.005838816667768565786861626472773550640
8Mike Hardman0XXX99.007238906281798361596360645966684250630
9Arshdeep Bains0X100.006437856371778462706459616264654250620
10Konsta Helenius0X100.005937866568817163676059646261658650620
11Skyler Brind'Amour0X100.006738876279848358665661596266684750620
12Tristan Broz0X100.006639796275837061676062616463656950620
13Nolan Allan0X100.007054736579828363306457664962647750650
14Helge Grans0X100.007440836187828462306356604963657650650
15Cameron Crotty0X100.007140786280708359306058614966706150630
16Hardy Haman Aktell0X100.007340816383757662306452584867695150630
17Anton Malmstrom0X100.007740825586636554305351574565674250600
18Artem Grushnikov0X100.006952845678638354305352594562647350600
Scratches
1Jeffrey Viel0X100.007481526081828759656058615768703650620
2Fredrik Karlstrom0X100.007439936083817959625661586467695450620
3Hayden Hodgson0X100.007865505985737757535856595769713650610
4Matthew Strome0X100.007942805988758058545756555866685650600
5Tristen Nielsen0X100.006040735969828456645958575665674250600
6Trevor Kuntar0XX100.006643625775858356615554585964666250590
7Matthew Sop0X100.006237905871736356615957555862644350580
8Alex Beaucage0XX100.006738905876756757535654555864666350580
9Zac Funk0X100.006741725876896157595556545762644450580
10Carson Bantle0X100.007643715585696354505253565463655550570
11Trevor Janicke0X100.005636955469636153585250515565675550540
12Nikolai Knyzhov0X100.007942795888677455305756614767693750630
13Jeremie Biakabutuka0X100.007739915486616253305250564563654450590
TEAM AVERAGE99.77694280617877775955595759576567535061
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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Matt Tomkins100.00758378857473757473757471855050740
2Kevin Mandolese100.00717975827069717069717065734750700
Scratches
1Luke Cavallin100.00667369806564666564666565714350660
TEAM AVERAGE100.0071787482706971706971706776475070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Vellucci64656970888258USA5971,000,000$


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
1Seth GriffithPhantoms (Phi)C/RW17411153120103736103011.11%636621.5814513760002720156.57%29700100.8211000103
2Alex Barre-BouletPhantoms (Phi)C/LW/RW176814-34042244133313.64%432819.3434715840000154051.72%2900000.8511000130
3Tyson JostPhantoms (Phi)C1785134140183952163315.38%539022.950337750002731054.45%47200000.6700000111
4Cole GuttmanPhantoms (Phi)C175611-12011263162716.13%233919.991566700000451053.04%24700000.6500000010
5Egor SokolovPhantoms (Phi)LW/RW174711-1215441139162010.26%635520.9320210910001451050.00%2400000.6201100012
6Danil GushchinPhantoms (Phi)LW1746105408294814398.33%634220.1731418790002550143.90%4100000.5800000010
7Hardy Haman AktellPhantoms (Phi)D17189020020131061010.00%2138222.50112970000074000.00%000000.4700000001
8Mike HardmanPhantoms (Phi)C/LW/RW1734721208122331413.04%518310.8000001000002050.00%200000.7600000102
9Rodrigo AbolsPhantoms (Phi)C17336217514152832410.71%119211.3500001000061045.77%14200000.6200001101
10Cameron CrottyPhantoms (Phi)D17145-11551971710165.88%1837722.231341574000068000.00%000000.2600100000
11Arshdeep BainsPhantoms (Phi)LW1713451359595511.11%420211.9100001000010066.67%600000.4000001100
12Zac JonesPhiladelphia FlyersD8134160911971511.11%820525.65112746000035000.00%000000.3900000100
13Helge GransPhantoms (Phi)D170441220276228120.00%1841524.440221682000074000.00%000000.1900000000
14Anton MalmstromPhantoms (Phi)D921341407130366.67%1014015.5600004000012000.00%000000.4300000000
15Nikolai KnyzhovPhantoms (Phi)D10123512019611069.09%517217.20011731000028000.00%000000.3500000011
16Hayden HodgsonPhantoms (Phi)RW1003311401387360.00%111611.6900023000000025.00%400000.5100000000
17Jeffrey VielPhantoms (Phi)LW8112339517553120.00%610513.211011000000100.00%100000.3800001000
18Fredrik KarlstromPhantoms (Phi)C140221001045110.00%0987.07000140000150061.11%1800000.4000000000
19Artem GrushnikovPhantoms (Phi)D6000180710000.00%69015.0200005000011000.00%000000.0000000000
20Konsta HeleniusPhantoms (Phi)C1000-100000000.00%122.620000000000000.00%500000.0000000000
21Skyler Brind'AmourPhantoms (Phi)C8000000624010.00%1587.3500003000020050.00%800000.0000000000
22Tristan BrozPhantoms (Phi)C8000000000000.00%0182.3000002000010033.33%300000.0000000000
Team Total or Average2864581126312492528026040312429611.17%134488717.09142539127810000764011252.96%129900100.52232037811
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 TomkinsPhantoms (Phi)1712500.9231.87102504324170101.0002170220
Team Total or Average1712500.9231.87102504324170101.0002170220


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
Alex Barre-BouletC/LW/RW281997-05-21No178 Lbs5 ft10NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Alex BeaucageLW/RW242001-07-25No192 Lbs6 ft1NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Anton MalmstromD252000-03-18No200 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Arshdeep BainsLW242001-01-09No184 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Artem GrushnikovD222003-03-20No203 Lbs6 ft1NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Cameron CrottyD261999-05-05No182 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Carson BantleLW232002-01-22No194 Lbs6 ft4NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Cole GuttmanC261999-04-06No167 Lbs5 ft9NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Danil GushchinLW232002-02-06No165 Lbs5 ft8NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Egor SokolovLW/RW252000-06-07No222 Lbs6 ft3NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Fredrik KarlstromC271998-01-12No200 Lbs6 ft3NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Hardy Haman AktellD271998-07-04No198 Lbs6 ft3NoNoNo3UFAPro & Farm300,000$0$0$NoLink / NHL Link
Hayden HodgsonRW291996-03-02No221 Lbs6 ft2NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Helge GransD232002-05-10No205 Lbs6 ft4NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Jeffrey VielLW281997-01-28No205 Lbs6 ft2NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Jeremie BiakabutukaD232002-03-05No198 Lbs6 ft4NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Kevin MandoleseG252000-08-22No180 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Konsta HeleniusC192006-05-11No180 Lbs5 ft11NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Luke CavallinG242001-04-29No196 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matt TomkinsG311994-06-19No191 Lbs6 ft4NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Matthew SopLW222003-02-04No185 Lbs6 ft0NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Matthew StromeLW261999-01-06No206 Lbs6 ft4NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Mike HardmanC/LW/RW261999-02-05No205 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Nikolai KnyzhovD271998-03-20No222 Lbs6 ft3NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Nolan AllanD222003-04-28No195 Lbs6 ft2NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Rodrigo AbolsC291996-01-05No206 Lbs6 ft4NoNoNo2UFAPro & Farm500,000$0$0$NoLink
Seth GriffithC/RW321993-01-04No190 Lbs5 ft9NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Skyler Brind'AmourC261999-07-27No195 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Trevor JanickeC242000-12-25No193 Lbs5 ft10NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Trevor KuntarC/LW242001-06-20No205 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Tristan BrozC232002-10-10No205 Lbs6 ft0NoNoNo4RFAPro & Farm500,000$0$0$NoLink
Tristen NielsenLW252000-02-23No192 Lbs5 ft10NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Tyson JostC271998-03-14No187 Lbs5 ft11NoNoNo1UFAPro & Farm780,000$0$0$NoLink / NHL Link
Zac FunkRW222003-07-20No210 Lbs6 ft0NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3425.21196 Lbs6 ft12.26414,118$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Egor SokolovSeth GriffithAlex Barre-Boulet40122
2Danil GushchinTyson Jost30122
3Arshdeep BainsCole Guttman20122
4Rodrigo AbolsMike Hardman10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Helge GransCameron Crotty40122
2Hardy Haman Aktell30122
3Anton Malmstrom20122
4Helge GransCameron Crotty10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Egor SokolovSeth GriffithAlex Barre-Boulet60122
2Danil GushchinTyson JostEgor Sokolov40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Helge GransCameron Crotty60122
2Hardy Haman Aktell40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Seth GriffithEgor Sokolov60122
2Tyson JostDanil Gushchin40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Helge GransCameron Crotty60122
2Hardy Haman Aktell40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Seth Griffith60122Helge GransCameron Crotty60122
2Tyson Jost40122Hardy Haman Aktell40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Seth GriffithEgor Sokolov60122
2Tyson JostDanil Gushchin40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Helge GransCameron Crotty60122
2Hardy Haman Aktell40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Egor SokolovSeth GriffithAlex Barre-BouletHelge GransCameron Crotty
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Egor SokolovSeth GriffithAlex Barre-BouletHelge GransCameron Crotty
Extra Forwards
Normal PowerPlayPenalty Kill
Tyson Jost, Cole Guttman, Rodrigo AbolsTyson Jost, Cole GuttmanTyson Jost
Extra Defensemen
Normal PowerPlayPenalty Kill
Hardy Haman Aktell, , Anton MalmstromHardy Haman AktellHardy Haman Aktell,
Penalty Shots
Alex Barre-Boulet, Egor Sokolov, Seth Griffith, Danil Gushchin, Tyson Jost
Goalie
#1 : Matt Tomkins, #2 : Kevin Mandolese


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
1724SOW1468112740341713424928004
All Games
GPWLOTWOTL SOWSOLGFGA
1711500104632
Home Games
GPWLOTWOTL SOWSOLGFGA
85300002417
Visitor Games
GPWLOTWOTL SOWSOLGFGA
96200102215
Last 10 Games
WLOTWOTL SOWSOL
630010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1011413.86%97792.78%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
11814913541419122
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
27351553.01%30154455.33%11423748.10%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
397273423126204102


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
9 - 2025-08-2316Wolfpack2Phantoms1LBoxScore
15 - 2025-08-2936Phantoms3Penguins1WBoxScore
16 - 2025-08-3051Penguins4Phantoms2LBoxScore
22 - 2025-09-0570Phantoms3Wolfpack1WBoxScore
23 - 2025-09-0689Griffins2Phantoms5WBoxScore
24 - 2025-09-0798Griffins2Phantoms4WBoxScore
27 - 2025-09-10106Phantoms3Bears0WBoxScore
30 - 2025-09-13129Phantoms1Thunderbirds5LBoxScore
34 - 2025-09-17144Phantoms2Penguins0WBoxScore
36 - 2025-09-19152Penguins3Phantoms1LBoxScore
37 - 2025-09-20163Comets1Phantoms4WBoxScore
41 - 2025-09-24186Penguins0Phantoms3WBoxScore
43 - 2025-09-26195Phantoms2Thunderbirds0WBoxScore
44 - 2025-09-27209Bears3Phantoms4WBoxScore
50 - 2025-10-03232Phantoms1Bruins3LBoxScore
51 - 2025-10-04249Phantoms3Bruins2WBoxScore
55 - 2025-10-08261Phantoms4Wolfpack3WXXBoxScore
57 - 2025-10-10271Bears-Phantoms-
58 - 2025-10-11287Rocket-Phantoms-
62 - 2025-10-15303IceHogs-Phantoms-
65 - 2025-10-18325Bears-Phantoms-
66 - 2025-10-19336Phantoms-Bears-
68 - 2025-10-21341Phantoms-Marlies-
70 - 2025-10-23351Phantoms-Monsters-
72 - 2025-10-25367Phantoms-Monsters-
76 - 2025-10-29389Bruins-Phantoms-
78 - 2025-10-31401Marlies-Phantoms-
79 - 2025-11-01413Phantoms-Penguins-
85 - 2025-11-07431Phantoms-Penguins-
86 - 2025-11-08446Checkers-Phantoms-
89 - 2025-11-11463Checkers-Phantoms-
92 - 2025-11-14472Phantoms-Comets-
93 - 2025-11-15485Phantoms-Crunch-
96 - 2025-11-18501Phantoms-Bears-
99 - 2025-11-21515Wolfpack-Phantoms-
100 - 2025-11-22524Phantoms-Wolfpack-
101 - 2025-11-23538Phantoms-Islanders-
104 - 2025-11-26552Senators-Phantoms-
106 - 2025-11-28562Phantoms-Americans-
107 - 2025-11-29572Americans-Phantoms-
113 - 2025-12-05607Thunderbirds-Phantoms-
114 - 2025-12-06620Islanders-Phantoms-
115 - 2025-12-07629Phantoms-Penguins-
118 - 2025-12-10635Phantoms-Islanders-
127 - 2025-12-19680Monsters-Phantoms-
128 - 2025-12-20698Wolfpack-Phantoms-
134 - 2025-12-26724Phantoms-Penguins-
135 - 2025-12-27735Crunch-Phantoms-
136 - 2025-12-28745Penguins-Phantoms-
139 - 2025-12-31760Phantoms-Griffins-
141 - 2026-01-02771Phantoms-Griffins-
142 - 2026-01-03786Phantoms-IceHogs-
145 - 2026-01-06803Phantoms-Admirals-
148 - 2026-01-09819Islanders-Phantoms-
149 - 2026-01-10833Islanders-Phantoms-
150 - 2026-01-11842Phantoms-Bears-
Trade Deadline --- Trades can’t be done after this day is simulated!
156 - 2026-01-17871Phantoms-Checkers-
157 - 2026-01-18883Phantoms-Checkers-
162 - 2026-01-23906Penguins-Phantoms-
164 - 2026-01-25925Penguins-Phantoms-
167 - 2026-01-28939Admirals-Phantoms-
169 - 2026-01-30949Crunch-Phantoms-
170 - 2026-01-31967Bruins-Phantoms-
176 - 2026-02-06993Phantoms-Senators-
177 - 2026-02-071008Phantoms-Rocket-
181 - 2026-02-111028Phantoms-Islanders-
183 - 2026-02-131045Bears-Phantoms-
184 - 2026-02-141057Thunderbirds-Phantoms-
190 - 2026-02-201080Phantoms-Crunch-
191 - 2026-02-211100Bears-Phantoms-
197 - 2026-02-271128Monsters-Phantoms-
198 - 2026-02-281140Phantoms-Bears-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance14,7917,640
Attendance PCT92.44%95.50%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
28 2804 - 93.46% 69,551$556,411$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
311,585$ 140,800$ 140,800$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 36,585$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,947,438$ 145 5,704$ 827,080$




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
1282521903413260123137413070110215455994122120231110668381192604777370180967783240607498108381588471152718375177414.31%6035291.38%71695273262.04%1368228659.84%744116463.92%230216431674573979526
1376462102142227137903826110001012380433820100213210457471072274106370150827861200306646536721513452141516444597816.99%5385989.03%51301240554.10%1185214155.35%528103451.06%213915321560524896483
147634260148319514649381814002221007822381612012619568279319534253718064507219220618655633169649095114603606116.94%3614886.70%11379242056.98%1181217454.32%569109252.11%205414741648521919478
147634260148319514649381814002221007822381612012619568279319534253718064507219220618655633169649095114603606116.94%3614886.70%11379242056.98%1181217454.32%569109252.11%205414741648521919478
147634260148319514649381814002221007822381612012619568279319534253718064507219220618655633169649095114603606116.94%3614886.70%11379242056.98%1181217454.32%569109252.11%205414741648521919478
158237360025224922029412316000201431043941142000232106116-108824944369203092767625760874815874193162693415534297016.32%3725684.95%11530274655.72%1218229653.05%680123255.19%209815051881579976496
158237360025224922029412316000201431043941142000232106116-108824944369203092767625760874815874193162693415534297016.32%3725684.95%11530274655.72%1218229653.05%680123255.19%209815051881579976496
16825117034522791501294128601240163659841231102212116853112427950678511401179361238308028087601789545101515114186515.55%4085586.52%31573259760.57%1357231758.57%689116459.19%228316721719550964512
17723820053332381419736171104112112644836219012211267749982384476850130109695221520740703682159844882013603656016.44%3524288.07%31413227862.03%1186205057.85%611101959.96%202114731492479850457
18723132042032302141636181400103123982536131804100107116-975230420650030101755021340726685707164946386213063615916.34%3497179.66%31375225860.89%1039173160.02%670106962.68%205515101432463853463
1970332203264224172523517110122211385283516110204211187249022439161505097665219490639669613178851795313813755915.73%4055885.68%21174209356.09%1130213952.83%533100553.03%184813341590482815418
2017115000104632148530000024177962000102215724468112704141912240311814913544171342492801011413.86%97792.78%027351553.01%30154455.33%11423748.10%397273423126204102
Total Regular Season8634382860233254302587184774043124113707131815139890649243219714901619361511899412481092258746447231410214997772729243481188071805879231929257521156216805453473216.14%457960086.90%28160012763057.91%135452432255.69%69561243255.95%2340616879186025925102775394
Playoff
112416800000584414116500000262241310300000322210325810015803015192058701771851785341464485231932311.92%1982089.90%242981352.77%43481053.58%16734348.69%626424614202316155
12954000002119243100000981523000001211110213960000777222056677620447193199921010.87%74691.89%118833855.62%16330852.92%8814560.69%2571742207812565
13514000001012-22020000035-2312000007702101828000262121048403311426991074237.14%46980.43%09917257.56%8117546.29%235740.35%11779123405928
161165000002527-2642000001615152300000912-3122544690008672670848878267671251907157.04%58886.21%017536348.21%17135348.44%7615848.10%2731892788614269
17624000001320-730300000410-632100000910-1413263900055313805541421694911610029310.34%47785.11%08018343.72%8518845.21%378145.68%12582162477233
1924159000007559161183000004527181376000003032-2307513320800029261863201962241996542133334641192117.65%1331985.71%327273437.06%26179732.75%11936732.43%537373638180284132
Total Playoff7945340000020218121372116000001038716422418000009994590202360562030666957196706166456061942548131415835466511.90%5566987.59%61243260347.75%1195263145.42%510115144.31%1937132220386351001485