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Phantoms
GP: 11 | W: 4 | L: 4 | OTL: 3 | P: 11
GF: 36 | GA: 40 | PP%: 19.57% | PK%: 70.73%
GM : Matt Gosling | Morale : 34 | Team Overall : 60
Next Games #153 vs Rochester Americans

Game Center
Belleville Senators
5-4-0, 10pts
5
4 Phantoms
4-4-3, 11pts
Team Stats
W1StreakL2
2-2-0Home Record3-2-1
3-2-0Home Record1-2-2
5-4-0Last 10 Games3-4-3
3.89Goals Per Game3.27
3.00Goals Against Per Game3.64
25.93%Power Play Percentage19.57%
77.14%Penalty Kill Percentage70.73%
Colorado Eagles
5-4-0, 10pts
2
1 Phantoms
4-4-3, 11pts
Team Stats
W1StreakL2
3-2-0Home Record3-2-1
2-2-0Home Record1-2-2
5-4-0Last 10 Games3-4-3
4.67Goals Per Game3.27
2.78Goals Against Per Game3.64
33.33%Power Play Percentage19.57%
84.62%Penalty Kill Percentage70.73%
Phantoms
4-4-3, 11pts
2026-10-21
Rochester Americans
4-5-0, 8pts
Team Stats
L2StreakL2
3-2-1Home Record2-3-0
1-2-2Away Record2-2-0
3-4-3Last 10 Games4-5-0
3.27Goals Per Game3.44
3.64Goals Against Per Game3.44
19.57%Power Play Percentage20.69%
70.73%Penalty Kill Percentage76.47%
San Diego Gulls
1-7-0, 2pts
2026-10-24
Phantoms
4-4-3, 11pts
Team Stats
L1StreakL2
1-3-0Home Record3-2-1
0-4-0Away Record1-2-2
1-7-0Last 10 Games3-4-3
4.13Goals Per Game3.27
6.13Goals Against Per Game3.27
38.10%Power Play Percentage19.57%
69.70%Penalty Kill Percentage70.73%
Monsters
2-4-1, 5pts
2026-10-27
Phantoms
4-4-3, 11pts
Team Stats
OTL1StreakL2
2-3-0Home Record3-2-1
0-1-1Away Record1-2-2
2-4-1Last 10 Games3-4-3
3.29Goals Per Game3.27
5.86Goals Against Per Game3.27
11.76%Power Play Percentage19.57%
66.67%Penalty Kill Percentage70.73%
Team Leaders
Jean-Luc FoudyGoals
Jean-Luc Foudy
5
Logan MorrisonAssists
Logan Morrison
8
Logan MorrisonPoints
Logan Morrison
11
Jean-Luc FoudyPlus/Minus
Jean-Luc Foudy
4
Thomas MilicWins
Thomas Milic
4
Jaxson StauberSave Percentage
Jaxson Stauber
0.933

Team Stats
Goals For
36
3.27 GFG
Shots For
381
34.64 Avg
Power Play Percentage
19.6%
9 GF
Offensive Zone Start
42.7%
Goals Against
40
3.64 GAA
Shots Against
373
33.91 Avg
Penalty Kill Percentage
70.7%%
12 GA
Defensive Zone Start
39.3%
Team Info

General ManagerMatt Gosling
CoachDominique Ducharme
DivisionMetropolitan
ConferenceEastern Conference
CaptainAleksanteri Kaskimaki
Assistant #1Etienne Morin
Assistant #2


Arena Info

Capacity3,000
Attendance2,813
Season Tickets300


Roster Info

Pro Team31
Farm Team22
Contract Limit53 / 60
Prospects22


Filter Tips
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
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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")
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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 SPAgeContractSalary
1Logan Morrison0X100.006138876570858662676463616564660366302521,000,000$
2Aleksanteri Kaskimaki (C)0XXX100.00633795617382855963605861596362036620233925,000$
3Skyler Brind'Amour0XXX100.006939826179858758605561666267690366202821,000,000$
4Josh Samanski (R)0XXX100.00694079637976866067635762596466036620251924,000$
5Artem Shlaine0X100.00613695597078855860575655596466036600251924,000$
6Jackson Hallum0X100.00633979587273865551575659536466036600241924,000$
7Jackson Kunz0X100.00763895568569675768625059536466036600251924,000$
8Landen Hookey0X100.00824570569167785358545559526264036600231924,000$
9Jean-Luc Foudy0XXX100.005938865768758256615955585464660365902521,000,000$
10Robert Mastrosimone0X100.005538805864757856545759555865670365902621,000,000$
11Riley McKay0X100.007673515675677355505354575567690365802821,000,000$
12Shawn Element0X100.006440805573717854505156575566680365802721,000,000$
13Cameron Butler0X100.007946585488676952555153575264660345802521,000,000$
14Carson Bantle0X100.007643705585707354505253565164660345802521,000,000$
15Spencer Kersten0X100.005938815867686356525557535666680345802721,000,000$
16Spencer Stastney0X100.006136936871838164306955685166680366402721,000,000$
17Vladislav Kolyachonok0X100.007038896580787562306759585065660366302621,000,000$
18Kyle Burroughs0X100.00706872627370696130645255477273034610321924,000$
19Jake Furlong0X100.00664173577565745530565458466264034590233924,000$
20Kaden Hammell0X100.00664078577570765430555658476163036590221924,000$
21Tommy Bergsland0X100.00713891548063725330525155456567036580261924,000$
Scratches
1Alex Gallant0X100.008186515470627453565250535174760295803421,000,000$
2Carter King0X100.00613695567066855458535255516567029580261924,000$
3Josh Filmon0X100.00603788546964675250515355526264029570231924,000$
4Ryan Hofer0X100.00714088538064625255515056526466029570251924,000$
5Otto Salin0X100.00613785557064765430565253456264032580231924,000$
6Etienne Morin (R) (A)0X100.00613793557064675330545256456163029570223925,000$
TEAM AVERAGE100.0067438158757176564957555853656703459
Filter Tips
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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.
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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
# Goalie Name #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Jaxson Stauber0100.00758379787473757473757467770396602821,000,000$
2Thomas Milic0100.0075837970747375747375746369029660243924,000$
Scratches
1Owen Flores0100.0072716876717072717072716267034640231924,000$
2Tomas Suchanek0100.0067736973666567666567666369034610241924,000$
TEAM AVERAGE100.007278747471707271707271647103464
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dominique Ducharme64737472797470CAN5322,500,000$


Filter Tips
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4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
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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")
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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
1Logan MorrisonPhantoms (PHI)C113811-2007284510316.67%223321.241127370110201047.41%25100000.9400000000
2Vladislav KolyachonokPhantoms (PHI)D1127916022152031410.00%1324822.612131638000031000%000000.7200000100
3Josh SamanskiPhantoms (PHI)C/LW/RW11369-48017203412278.82%722420.4403312380000310056.32%8700000.8000000010
4Kyle BurroughsPhantoms (PHI)D935831002411102330.00%616518.3910133011010000%000000.9700000010
5Spencer StastneyPhantoms (PHI)D11268-1601124237158.70%2027825.352241541000030000%000000.5700000001
6Aleksanteri KaskimakiPhantoms (PHI)C/LW/RW112684001226497234.08%719017.340001235000000052.30%23900000.8400000100
7Skyler Brind'AmourPhantoms (PHI)C/LW/RW11437-460171733162112.12%422520.4711210380001361057.14%1400000.6200000010
8Jean-Luc FoudyPhantoms (PHI)C/LW/RW115164008131851027.78%116014.5600002000050045.45%1100000.7500000000
9Artem ShlainePhantoms (PHI)C11055000112215200%117916.31011636000000052.63%1900000.5600000010
10Jackson HallumPhantoms (PHI)LW1114542020829653.45%215113.7700000000001045.45%1100000.6600000010
11Jackson KunzPhantoms (PHI)C113140408192931210.34%217816.23112436000000156.15%18700000.4500000000
12Landen HookeyPhantoms (PHI)C11224110029151541013.33%317716.10000001011130056.36%5500000.4500000001
13Martin PospisilFlyersC/LW/RW21230006143325.00%13919.5301116000020050.00%200001.5400000010
14Jake FurlongPhantoms (PHI)D9123010010450420.00%712013.360002000004000%000000.5000000000
15Tommy BergslandPhantoms (PHI)D110330201474430%820919.05022433000030000%000000.2900000000
16Justin HryckowianFlyersC/LW/RW211200033113119.09%14321.5600036000060060.00%500000.9300000001
17Charle-Edouard D'AstousFlyersD2112-4407250220.00%24723.891012600002010%000000.8400000000
18Kaden HammellPhantoms (PHI)D111120140158154116.67%1222620.57011838000027000%000000.1800000000
19Logan BrownFlyersC2011-240476130%04824.4901126000050061.76%6800000.4100000000
20Shawn ElementPhantoms (PHI)C11101-10013111100.00%0272.46000000000131038.89%1800000.7400000000
21Robert MastrosimonePhantoms (PHI)LW11011-200122130%1373.3700000000000025.00%400000.5400000000
22Otto SalinPhantoms (PHI)D2011100131000%02713.880000000000000%000000.7200000000
23Riley McKayPhantoms (PHI)LW11000020000000%030.300000000001000%00000000000000
24Cameron ButlerPhantoms (PHI)RW9000000001000%030.360001000000000%00000000000000
Team Total or Average2133667103-2880238248381972329.45%100324715.259152410840912322734252.63%97100000.6300000263
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
1Thomas MilicPhantoms (PHI)114330.8893.82597003834301000110001
2Jaxson StauberPhantoms (PHI)20100.9331.77680023000000011000
Team Total or Average134430.8933.61665004037301001111001


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.
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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 NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Aleksanteri KaskimakiPhantoms (PHI)C/LW/RW232004-02-06FINNo195 Lbs183 CMNoNoFantasy DraftNoNo32026-05-18FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Alex GallantPhantoms (PHI)LW341992-12-08CANNo177 Lbs183 CMNoNoAssign ManuallyYesYes2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Artem ShlainePhantoms (PHI)C252002-03-07USANo165 Lbs185 CMNoNoAssign ManuallyNoNo12026-09-24FalseFalsePro & Farm924,000$0$0$No---------------------------Link / NHL Link
Cameron ButlerPhantoms (PHI)RW252002-06-09CANNo210 Lbs193 CMNoNoAssign ManuallyNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Carson BantlePhantoms (PHI)LW252002-01-22USANo194 Lbs193 CMNoNoAssign ManuallyNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Carter KingPhantoms (PHI)C262001-08-30CANNo190 Lbs180 CMNoNoAssign ManuallyNoNo12026-09-24FalseFalsePro & Farm924,000$0$0$No---------------------------Link / NHL Link
Etienne MorinPhantoms (PHI)D222005-03-09CANYes180 Lbs183 CMNoNoDraftNoNo32026-05-24FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Link / NHL Link
Jackson HallumPhantoms (PHI)LW242002-09-08USANo190 Lbs183 CMNoNoAssign ManuallyNoNo12026-09-24FalseFalsePro & Farm924,000$0$0$No---------------------------Link / NHL Link
Jackson KunzPhantoms (PHI)C252002-08-13USANo210 Lbs191 CMNoNoAssign ManuallyNoNo12026-09-24FalseFalsePro & Farm924,000$0$0$No---------------------------Link / NHL Link
Jake FurlongPhantoms (PHI)D232004-03-04CANNo189 Lbs185 CMNoNoFantasy DraftNoNo32026-09-24FalseFalsePro & Farm924,000$0$0$No924,000$924,000$-------924,000$924,000$-------NoNo-------Link / NHL Link
Jaxson StauberPhantoms (PHI)G281999-04-27USANo174 Lbs191 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Jean-Luc FoudyPhantoms (PHI)C/LW/RW252002-05-13CANNo177 Lbs180 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Josh FilmonPhantoms (PHI)LW232004-03-18CANNo158 Lbs185 CMNoNoAssign ManuallyNoNo12026-09-24FalseFalsePro & Farm924,000$0$0$No---------------------------Link / NHL Link
Josh SamanskiPhantoms (PHI)C/LW/RW252002-03-22DEUYes195 Lbs188 CMNoNoDraftNoNo12026-06-06FalseFalsePro & Farm924,000$0$0$No---------------------------Link / NHL Link
Kaden HammellPhantoms (PHI)D222005-03-12CANNo187 Lbs185 CMNoNoAssign ManuallyNoNo12026-09-24FalseFalsePro & Farm924,000$0$0$No---------------------------Link / NHL Link
Kyle BurroughsPhantoms (PHI)D321995-07-12CANNo193 Lbs183 CMNoNoAssign ManuallyYesYes12026-09-24FalseFalsePro & Farm924,000$0$0$No---------------------------Link / NHL Link
Landen HookeyPhantoms (PHI)C232004-01-29CANNo222 Lbs193 CMNoNoAssign ManuallyNoNo12026-09-24FalseFalsePro & Farm924,000$0$0$No---------------------------Link / NHL Link
Logan MorrisonPhantoms (PHI)C252002-07-09CANNo179 Lbs183 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Otto SalinPhantoms (PHI)D232004-03-07FINNo187 Lbs180 CMNoNoAssign ManuallyNoNo12026-09-24FalseFalsePro & Farm924,000$0$0$No---------------------------Link / NHL Link
Owen FloresPhantoms (PHI)G232004-05-09USANo176 Lbs188 CMNoNoAssign ManuallyNoNo12026-09-24FalseFalsePro & Farm924,000$0$0$No---------------------------Link / NHL Link
Riley McKayPhantoms (PHI)LW281999-03-07CANNo203 Lbs183 CMNoNoAssign ManuallyNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Robert MastrosimonePhantoms (PHI)LW262001-01-24USANo170 Lbs178 CMNoNoAssign ManuallyNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Ryan HoferPhantoms (PHI)C252002-05-10CANNo184 Lbs191 CMNoNoAssign ManuallyNoNo12026-09-24FalseFalsePro & Farm924,000$0$0$No---------------------------Link / NHL Link
Shawn ElementPhantoms (PHI)C272000-04-23CANNo192 Lbs183 CMNoNoAssign ManuallyNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Skyler Brind'AmourPhantoms (PHI)C/LW/RW281999-07-27USANo195 Lbs188 CMNoNoFantasy DraftNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Spencer KerstenPhantoms (PHI)RW272000-05-16CANNo185 Lbs178 CMNoNoAssign ManuallyNoNo22025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Spencer StastneyPhantoms (PHI)D272000-01-04USANo184 Lbs183 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Thomas MilicPhantoms (PHI)G242003-04-14CANNo175 Lbs183 CMNoNoFantasy DraftNoNo32026-08-23FalseFalsePro & Farm924,000$0$0$No924,000$924,000$-------924,000$924,000$-------NoNo-------Link / NHL Link
Tomas SuchanekPhantoms (PHI)G242003-04-30CZENo180 Lbs185 CMNoNoAssign ManuallyNoNo12026-09-24FalseFalsePro & Farm924,000$0$0$No---------------------------Link / NHL Link
Tommy BergslandPhantoms (PHI)D262001-03-23USANo185 Lbs191 CMNoNoAssign ManuallyNoNo12026-09-24FalseFalsePro & Farm924,000$0$0$No---------------------------Link / NHL Link
Vladislav KolyachonokPhantoms (PHI)D262001-05-26BLRNo198 Lbs188 CMNoNoFantasy DraftNoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3125.45187 Lbs185 CM1.68955,935$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Artem ShlaineJackson KunzLanden Hookey40122
2Josh SamanskiLogan MorrisonSkyler Brind'Amour30122
3Jackson HallumAleksanteri KaskimakiJean-Luc Foudy20122
4Robert MastrosimoneLanden HookeyLogan Morrison10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kyle BurroughsSpencer Stastney40122
2Vladislav KolyachonokKaden Hammell30122
3Jake FurlongTommy Bergsland20122
4Vladislav KolyachonokSpencer Stastney10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jackson KunzAleksanteri KaskimakiArtem Shlaine60122
2Josh SamanskiLogan MorrisonSkyler Brind'Amour40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Tommy BergslandSpencer Stastney60122
2Vladislav KolyachonokKaden Hammell40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Josh SamanskiSkyler Brind'Amour60122
2Landen HookeyLogan Morrison40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Tommy BergslandSpencer Stastney60122
2Vladislav KolyachonokKaden Hammell40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Logan Morrison60122Jake FurlongSpencer Stastney60122
2Josh Samanski40122Vladislav KolyachonokKaden Hammell40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Josh SamanskiAleksanteri Kaskimaki60122
2Jackson KunzLogan Morrison40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kyle BurroughsSpencer Stastney60122
2Vladislav KolyachonokKaden Hammell40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Aleksanteri KaskimakiLogan MorrisonJosh SamanskiVladislav KolyachonokSpencer Stastney
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Aleksanteri KaskimakiLogan MorrisonJosh SamanskiVladislav KolyachonokSpencer Stastney
Extra Forwards
Normal PowerPlayPenalty Kill
Jackson Kunz, Artem Shlaine, Shawn ElementJackson Kunz, Artem ShlaineShawn Element
Extra Defensemen
Normal PowerPlayPenalty Kill
Spencer Stastney, Tommy Bergsland, Vladislav KolyachonokVladislav KolyachonokTommy Bergsland, Vladislav Kolyachonok
Penalty Shots
Artem Shlaine, Shawn Element, Aleksanteri Kaskimaki, Logan Morrison, Josh Samanski
Goalie
#1 : Thomas Milic, #2 : Jaxson Stauber
Custom OT Lines Forwards
Artem Shlaine, Shawn Element, Robert Mastrosimone, Logan Morrison, Josh Samanski, Skyler Brind'Amour, Aleksanteri Kaskimaki, Landen Hookey, Jackson Kunz, Jackson Hallum
Custom OT Lines Defensemen
Tommy Bergsland, Spencer Stastney, Vladislav Kolyachonok, Kaden Hammell, Kyle Burroughs


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
OverallHomeVisitor
# VS Team 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 PCT 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
1Belleville Senators20200000911-21010000045-11010000056-100.00091625001410111731131091563751516417114.29%7528.57%120840850.98%20637654.79%9717256.40%2671832608113970
2Bruins1000010023-1000000000001000010023-110.5002460014101113011310915632694214125.00%2150.00%020840850.98%20637654.79%9717256.40%2671832608113970
3Chicago Wolves21000100761210001007610000000000030.750713200014101116511310915636921144110220.00%6266.67%020840850.98%20637654.79%9717256.40%2671832608113970
4Coachella Valley Firebirds11000000541110000005410000000000021.00059140014101114411310915632686285120.00%30100.00%020840850.98%20637654.79%9717256.40%2671832608113970
5Colorado Eagles1010000012-11010000012-10000000000000.00012300141011121113109156336121623300.00%8187.50%020840850.98%20637654.79%9717256.40%2671832608113970
6Griffins10001000321000000000001000100032121.000369001410111301131091563366413300.00%20100.00%020840850.98%20637654.79%9717256.40%2671832608113970
7Penguins11000000321110000003210000000000021.00036900141011128113109156322512235240.00%60100.00%020840850.98%20637654.79%9717256.40%2671832608113970
8Syracruse Crunch1000010045-1000000000001000010045-110.5004711001410111461131091563541912276233.33%6266.67%020840850.98%20637654.79%9717256.40%2671832608113970
9Utica Comets1010000025-3000000000001010000025-300.000246001410111441131091563295421300.00%110.00%020840850.98%20637654.79%9717256.40%2671832608113970
Total1134013003640-46320010020191502012001621-5110.500366710300141011138111310915633731008823846919.57%411270.73%120840850.98%20637654.79%9717256.40%2671832608113970
_Since Last GM Reset1134013003640-46320010020191502012001621-5110.500366710300141011138111310915633731008823846919.57%411270.73%120840850.98%20637654.79%9717256.40%2671832608113970
_Vs Conference721013002123-2320001001082401012001115-490.6432140610014101112431131091563236655014631722.58%23673.91%020840850.98%20637654.79%9717256.40%2671832608113970
_Vs Division411001001213-13100010010821010000025-330.375122335001410111137113109156312031308518422.22%13376.92%020840850.98%20637654.79%9717256.40%2671832608113970

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1111L236671033813731008823800
All Games
GPWLOTWOTL SOWSOLGFGA
113413003640
Home Games
GPWLOTWOTL SOWSOLGFGA
63201002019
Visitor Games
GPWLOTWOTL SOWSOLGFGA
50212001621
Last 10 Games
WLOTWOTL SOWSOL
340300
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
46919.57%411270.73%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
11310915631410111
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
20840850.98%20637654.79%9717256.40%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2671832608113970


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
2 - 2026-09-307Penguins2Phantoms3WBox score
3 - 2026-10-0113Phantoms2Utica Comets5LBox score
5 - 2026-10-0331Chicago Wolves4Phantoms3LXBox score
7 - 2026-10-0541Phantoms4Syracruse Crunch5LXBox score
10 - 2026-10-0858Phantoms5Belleville Senators6LBox score
12 - 2026-10-1079Phantoms2Bruins3LXBox score
13 - 2026-10-1185Chicago Wolves2Phantoms4WBox score
15 - 2026-10-13102Coachella Valley Firebirds4Phantoms5WBox score
17 - 2026-10-15118Phantoms3Griffins2WXBox score
19 - 2026-10-17121Belleville Senators5Phantoms4LBox score
21 - 2026-10-19137Colorado Eagles2Phantoms1LBox score
23 - 2026-10-21153Phantoms-Rochester Americans-
26 - 2026-10-24177San Diego Gulls-Phantoms-
29 - 2026-10-27196Monsters-Phantoms-
30 - 2026-10-28202Phantoms-Bears-
34 - 2026-11-01229Tucson Roadrunners-Phantoms-
36 - 2026-11-03246Wild-Phantoms-
38 - 2026-11-05254Phantoms-Wolf Pack-
41 - 2026-11-08280Phantoms-Calgary Wranglers-
42 - 2026-11-09284Phantoms-Abbotsford Canucks-
44 - 2026-11-11296Phantoms-Condors-
47 - 2026-11-14314Phantoms-Monsters-
48 - 2026-11-15326Condors-Phantoms-
50 - 2026-11-17334Rochester Americans-Phantoms-
52 - 2026-11-19353Phantoms-Belleville Senators-
53 - 2026-11-20365Phantoms-Laval Rocket-
57 - 2026-11-24387Phantoms-Bears-
58 - 2026-11-25404Abbotsford Canucks-Phantoms-
59 - 2026-11-26419Bridgeport Islanders-Phantoms-
61 - 2026-11-28430Phantoms-Toronto Marlies-
64 - 2026-12-01458Bridgeport Islanders-Phantoms-
66 - 2026-12-03475Phantoms-Wild-
69 - 2026-12-06489Phantoms-Moose-
72 - 2026-12-09513Calgary Wranglers-Phantoms-
75 - 2026-12-12532Charlotte Checkers-Phantoms-
77 - 2026-12-14547Wolf Pack-Phantoms-
79 - 2026-12-16563Griffins-Phantoms-
81 - 2026-12-18578Phantoms-Bruins-
82 - 2026-12-19588Monsters-Phantoms-
85 - 2026-12-22614Phantoms-IceHogs-
87 - 2026-12-24627Phantoms-Coachella Valley Firebirds-
90 - 2026-12-27654Phantoms-Barracuda-
92 - 2026-12-29673Phantoms-San Diego Gulls-
93 - 2026-12-30679Phantoms-Ontario Reign-
96 - 2027-01-02694Toronto Marlies-Phantoms-
98 - 2027-01-04717Phantoms-Toronto Marlies-
99 - 2027-01-05723IceHogs-Phantoms-
101 - 2027-01-07732Phantoms-Admirals-
104 - 2027-01-10756Phantoms-Chicago Wolves-
105 - 2027-01-11768Laval Rocket-Phantoms-
108 - 2027-01-14789Phantoms-Wolf Pack-
110 - 2027-01-16800Admirals-Phantoms-
112 - 2027-01-18817Utica Comets-Phantoms-
115 - 2027-01-21840Charlotte Checkers-Phantoms-
117 - 2027-01-23858Ontario Reign-Phantoms-
119 - 2027-01-25873Moose-Phantoms-
120 - 2027-01-26879Phantoms-Penguins-
123 - 2027-01-29890Syracruse Crunch-Phantoms-
129 - 2027-02-04920Utica Comets-Phantoms-
131 - 2027-02-06934Phantoms-Thunderbirds-
134 - 2027-02-09959Phantoms-Texas Stars-
136 - 2027-02-11968Wolf Pack-Phantoms-
138 - 2027-02-13988Laval Rocket-Phantoms-
140 - 2027-02-151002Rochester Americans-Phantoms-
142 - 2027-02-171018Phantoms-Bridgeport Islanders-
143 - 2027-02-181024Barracuda-Phantoms-
146 - 2027-02-211047Henderson Silver Knights-Phantoms-
149 - 2027-02-241070Texas Stars-Phantoms-
151 - 2027-02-261088Thunderbirds-Phantoms-
153 - 2027-02-281101Phantoms-Colorado Eagles-
155 - 2027-03-021112Phantoms-Henderson Silver Knights-
157 - 2027-03-041123Phantoms-Tucson Roadrunners-
Trade Deadline --- Trades can’t be done after this day is simulated!
160 - 2027-03-071148Griffins-Phantoms-
162 - 2027-03-091170Bruins-Phantoms-
164 - 2027-03-111181Phantoms-Bridgeport Islanders-
167 - 2027-03-141203Phantoms-Utica Comets-
169 - 2027-03-161215Phantoms-Syracruse Crunch-
171 - 2027-03-181239Phantoms-Charlotte Checkers-
174 - 2027-03-211248Penguins-Phantoms-
176 - 2027-03-231264Bears-Phantoms-
178 - 2027-03-251289Phantoms-Penguins-
180 - 2027-03-271300Phantoms-Chicago Wolves-
183 - 2027-03-301324Phantoms-Monsters-
185 - 2027-04-011338Bears-Phantoms-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance11,2825,594
Attendance PCT94.02%93.23%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
36 2813 - 93.76% 116,503$699,020$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
626,328$ 2,963,400$ 2,963,400$ 2,500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 342,538$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
4,194,120$ 164 29,532$ 4,843,248$




Phantoms Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Phantoms Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Phantoms Career Team Stats

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

Phantoms Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Phantoms Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA