Please rotate your device to landscape mode for a better experience.
Login

Phantoms
GP: 54 | W: 25 | L: 25 | OTL: 4 | P: 54
GF: 181 | GA: 176 | PP%: 30.21% | PK%: 76.12%
GM : Alexander Phillips | Morale : 50 | Team Overall : 72
Next Games #654 vs Schooners

Game Center
Kings
35-12-6, 76pts
4
1 Phantoms
25-25-4, 54pts
Team Stats
W2StreakW1
12-10-2Home Record10-15-1
23-2-4Home Record15-10-3
8-2-0Last 10 Games7-2-1
3.55Goals Per Game3.35
2.75Goals Against Per Game3.26
28.44%Power Play Percentage30.21%
76.19%Penalty Kill Percentage76.12%
Crusaders
26-16-9, 61pts
3
9 Phantoms
25-25-4, 54pts
Team Stats
L1StreakW1
15-7-3Home Record10-15-1
11-9-6Home Record15-10-3
5-5-0Last 10 Games7-2-1
3.49Goals Per Game3.35
3.45Goals Against Per Game3.26
34.07%Power Play Percentage30.21%
72.41%Penalty Kill Percentage76.12%
Phantoms
25-25-4, 54pts
2026-02-05
Schooners
36-13-5, 77pts
Team Stats
W1StreakW3
10-15-1Home Record17-8-2
15-10-3Away Record19-5-3
7-2-1Last 10 Games8-2-0
3.35Goals Per Game3.61
3.26Goals Against Per Game3.61
30.21%Power Play Percentage22.94%
76.12%Penalty Kill Percentage75.00%
Schooners
36-13-5, 77pts
2026-02-06
Phantoms
25-25-4, 54pts
Team Stats
W3StreakW1
17-8-2Home Record10-15-1
19-5-3Away Record15-10-3
8-2-0Last 10 Games7-2-1
3.61Goals Per Game3.35
2.85Goals Against Per Game3.35
22.94%Power Play Percentage30.21%
75.00%Penalty Kill Percentage76.12%
Stingers
19-30-5, 43pts
2026-02-08
Phantoms
25-25-4, 54pts
Team Stats
W2StreakW1
12-15-4Home Record10-15-1
7-15-1Away Record15-10-3
3-7-0Last 10 Games7-2-1
2.69Goals Per Game3.35
3.69Goals Against Per Game3.35
21.78%Power Play Percentage30.21%
73.65%Penalty Kill Percentage76.12%
Team Leaders
Goals
Tani Pahkamaa
24
Assists
Dru Pearkes
36
Points
Dru Pearkes
56
Plus/Minus
Erling Olsson
18
Wins
Henrick Polley
17
Save Percentage
Henrick Polley
0.902

Team Stats
Goals For
181
3.35 GFG
Shots For
1883
34.87 Avg
Power Play Percentage
30.2%
29 GF
Offensive Zone Start
40.0%
Goals Against
176
3.26 GAA
Shots Against
1742
32.26 Avg
Penalty Kill Percentage
76.1%%
32 GA
Defensive Zone Start
34.1%
Team Info

General ManagerAlexander Phillips
CoachJulian Weiss
DivisionSouth East Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2Zane Haddix


Arena Info

Capacity3,000
Attendance2,879
Season Tickets300


Roster Info

Pro Team32
Farm Team19
Contract Limit51 / 55
Prospects5


Team History

This Season25-25-4 (54PTS)
History163-167-48 (0.431%)
Playoff Appearances1
Playoff Record (W-L)7 - 7 (0.500%)
Stanley Cup0


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 SPAgeContractSalary
1Dru Pearkes52X99.0081456194757362787971926950439838507602921,600,000$
2Kevin Elson83X100.0055429571899889836959833773403541507502821,750,000$
3Tani Pahkamaa95X99.006449747495677878824591857040358150750212900,000$
4Maksim Voronin56X100.0042377994779667707244769442764940507402821,999,750$
5Igor Karsenev56X100.005355758371918989675444986397849507403411,100,000$
6Ruslan Sarvarov80X100.004542859576795091965843998041441507303511,400,000$
7Takeji Takata (R)93X100.006734736458897893776660828730277150730211800,000$
8Yann Hammond (R)62X100.0025628369809890835853637735306873507202131,000,000$
9Ignaty Syromolotov (R)90X99.003350737279679379834971829530566850710213900,000$
10Shiro Kaima (R)96X99.006959876265799764914266943526817450710213800,000$
11Mark Stefanski (R)63X100.008932747647958372823787418650627650680211800,000$
12Butch Fitzstephens89X100.003645876148816571973771937073671650660312700,000$
13Igor Zheldakov16X99.0069626195788987832576517551788068507702231,700,000$
14Callen Dreeshen14X100.0095416864856551682582709352353642507502611,212,000$
15Leonid Pafov (R)20X100.005540687499998183254277785843326350750221800,000$
16Ole Hansen (R)44X99.006848916883778566726759858964807950750183900,000$
17Johnny Leclair2X100.0099376555646287942588537976748239507302731,350,000$
18Erling Olsson48X99.814039599057865163258745995259495450690252700,000$
Scratches
1Wesley Groulx0X100.0063617164819289919951905842559628507603031,000,000$
2Ivan Mlachnev42X100.0086359196509065867197464450348614507503211,100,000$
3Vosip Puntus73X100.007538628276957667676087609669446507403311,705,000$
4Stephan Preston77X100.0074366284826180908362675350758611507203511,100,000$
5Hugues Glenn58X100.00373775938560666399517165817441450680341700,000$
6Jaki Krabbe59X100.007945667893627460825085357744754850680255818,750$
7Zane Haddix (A)22X100.005538647585996071258543907497763450740281728,000$
8Alek Isotalus40X100.0058579289715985682555678199579629507202911,100,000$
9Oskar Dudrov6X100.009039948966886781255648577646612050710321904,000$
10Daxton Wentworth46X100.004864738892614956256761817742414507003511,000,000$
11Keeley Lamp18X100.00906365715589488525607359436851950680341700,000$
TEAM AVERAGE99.79634675787581747761606774675563395072
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 SPAgeContractSalary
1Henrick Polley3398.00649271829280686179656336747150750212800,000$
2Atley Hebert3299.008367746665537884688261934951507202611,497,500$
Scratches
1Antonio Jean38100.00635450779171867276808133721507203911,200,000$
TEAM AVERAGE99.0070716575836877727476685465415073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Julian Weiss94309492409757USA4711,000,000$


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
1Dru PearkesPhantoms (VOO)C512036563672514497220631199.09%2096819.003691158000042146.71%11417921011.1600014643
2Tani PahkamaaPhantoms (VOO)RW54242145066509763137536517.52%3197418.04369761000007146.51%863016000.9200019244
3Takeji TakataPhantoms (VOO)RW54201838514012161214581419.35%1992817.1900005000000235.59%593920000.8201000253
4Yann HammondPhantoms (VOO)LW54211637080601379129276516.28%2096417.865491162000105045.07%711518010.7700129301
5Ignaty SyromolotovPhantoms (VOO)LW501521367195345315449839.74%1584816.97000000000141139.66%582917000.8513100232
6Ruslan SarvarovPhantoms (VOO)C511715322754670122317213.93%1774514.62561111551125971252.42%4753410000.8600001213
7Igor KarsenevPhantoms (VOO)LW541021312140616492376810.87%2281415.073587721011980136.36%222520000.7600000211
8Igor ZheldakovPhantoms (VOO)D443262929945113719545503.16%61107924.52145545022165000%02737000.5400315221
9Shiro KaimaPhantoms (VOO)C5491827937359110954203316.67%2799018.34000000221982049.34%1064524000.5500142014
10Maksim VoroninPhantoms (VOO)RW54159241602454140387310.71%1561311.3610111421310992047.92%483314000.7800000410
11Kevin ElsonPhantoms (VOO)RW5491221-300382410936658.26%674613.83437872000004136.84%19308000.5600000100
12Leonid PafovPhantoms (VOO)D54316199402083868534323.53%64119522.14246670101192000%02132000.3200112100
13Erling OlssonPhantoms (VOO)D260181818451529384916120%2951919.9801131200008000%0620000.6900012010
14Callen DreeshenPhantoms (VOO)D5411314-812087613518212.86%5991716.99145472011098000%0926000.3100000010
15Johnny LeclairPhantoms (VOO)D5411011019574653315153.03%4876314.1400004000044000%0118000.2900010010
16Ole HansenPhantoms (VOO)D4711011-1303073866119271.64%71119525.4412345001109500100.00%11747000.1813141000
17Zane HaddixPhantoms (VOO)D352810-42953551411884.88%3966819.1000001200008000%0929000.3000001010
18Mark StefanskiPhantoms (VOO)C49461018065105515357.27%43887.9300001000000046.03%126222000.5101000010
19Butch FitzstephensPhantoms (VOO)LW4934700073828121910.71%124018.2000002000060050.00%1036000.3500000001
20Hugues GlennPhantoms (VOO)C6112-2001312154166.67%010116.94011112000050059.38%9642000.3900000001
21Ivan MlachnevPhantoms (VOO)RW511200011275414.29%06112.22000000000000100.00%252000.6500000000
22Keeley LampPhantoms (VOO)D601107512128520%714524.2000001100008000%031000.1400001000
23Oskar DudrovPhantoms (VOO)D2000-100010000%073.720000000001000%00000000000000
24Vosip PuntusPhantoms (VOO)LW5000000000000%020.490000000000000%00000000000000
25Alek IsotalusPhantoms (VOO)D5000-100100000%071.410000000000000%00000000000000
26Stephan PrestonPhantoms (VOO)C1000-100010000%022.250000000000000%00000000000000
27Wesley GroulxPhantoms (VOO)C11000-82156915680%311210.1900001000000059.09%443000000100000
Team Total or Average9831803014813062031012781217189862410339.48%5891616316.442946757970158132085424948.46%3322449390020.602891637272724
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
1Henrick PolleyPhantoms (VOO)34171330.9023.131973211031047530200.50063417050
2Atley HebertPhantoms (VOO)2271110.9013.241205206565840901001831001
3Antonio JeanPhantoms (VOO)21100.8613.80790053617000.667326000
Team Total or Average58252540.9013.1932584117317419562195454051


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 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
Alek IsotalusPhantoms (VOO)D291998-03-26FINNo190 Lbs5 ft9NoNoFree AgentNoNo12024-07-11FalseFalsePro & Farm1,100,000$110,000$40,135$No---------------------------
Antonio JeanPhantoms (VOO)G391988-08-02CANNo193 Lbs6 ft3NoNoAssign Manually2024-11-04NoNo12025-10-26FalseFalsePro & Farm1,200,000$120,000$43,784$No---------------------------
Atley HebertPhantoms (VOO)G262001-01-02USANo171 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,497,500$149,750$54,639$No---------------------------
Butch FitzstephensPhantoms (VOO)LW311996-01-13USANo208 Lbs6 ft7NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm700,000$70,000$25,541$No700,000$--------700,000$--------No--------
Callen DreeshenPhantoms (VOO)D262001-04-06CANNo187 Lbs5 ft6NoNoN/ANoNo1FalseFalsePro & Farm1,212,000$121,200$44,222$No---------------------------
Daxton WentworthPhantoms (VOO)D351992-06-23CANNo245 Lbs6 ft4NoNoAssign Manually2025-06-28NoNo12025-09-28FalseFalsePro & Farm1,000,000$100,000$36,486$No---------------------------
Dru PearkesPhantoms (VOO)C291998-04-11CANNo181 Lbs5 ft11NoNoAssign ManuallyNoNo22025-02-01FalseFalsePro & Farm1,600,000$160,000$58,378$No1,600,000$--------1,600,000$--------No--------
Erling OlssonPhantoms (VOO)D252002-01-06SWENo185 Lbs5 ft11NoNoTrade2025-06-28NoNo2FalseFalsePro & Farm700,000$70,000$25,541$No700,000$--------700,000$--------No--------
Henrick PolleyPhantoms (VOO)G212006-11-07USANo190 Lbs6 ft1NoNoFree AgentNoNo22025-02-23FalseFalsePro & Farm800,000$80,000$29,189$No800,000$--------800,000$--------No--------
Hugues GlennPhantoms (VOO)C341993-02-04CANNo167 Lbs5 ft10NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm700,000$70,000$25,541$No---------------------------
Ignaty SyromolotovPhantoms (VOO)LW212006-01-11RUSYes225 Lbs6 ft4NoNoDraftNoNo32025-10-05FalseFalsePro & Farm900,000$90,000$32,838$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Igor KarsenevPhantoms (VOO)LW341993-06-27RUSNo200 Lbs6 ft2NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm1,100,000$110,000$40,135$No---------------------------
Igor ZheldakovPhantoms (VOO)D222005-03-03RUSNo193 Lbs6 ft3NoNoN/ANoNo32024-06-07FalseFalsePro & Farm1,700,000$170,000$62,027$No1,700,000$1,700,000$-------1,700,000$1,700,000$-------NoNo-------
Ivan MlachnevPhantoms (VOO)RW321995-08-11RUSNo184 Lbs5 ft7NoNoFree Agent2024-03-07NoNo12025-10-27FalseFalsePro & Farm1,100,000$110,000$40,135$No---------------------------
Jaki KrabbePhantoms (VOO)RW252002-02-13FINNo181 Lbs5 ft6NoNoAssign ManuallyNoNo52025-09-28FalseFalsePro & Farm818,750$81,875$29,873$No818,750$818,750$818,750$818,750$-----818,750$818,750$818,750$818,750$-----NoNoNoNo-----
Johnny LeclairPhantoms (VOO)D272000-08-08CANNo184 Lbs5 ft6NoNoAssign Manually2024-03-10NoNo32025-09-28FalseFalsePro & Farm1,350,000$135,000$49,257$No1,350,000$1,350,000$-------1,350,000$1,350,000$-------NoNo-------
Keeley LampPhantoms (VOO)D341993-11-07USANo188 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$25,541$No---------------------------
Kevin ElsonPhantoms (VOO)RW281999-08-25CANNo165 Lbs5 ft10NoNoAssign ManuallyNoNo22025-10-26FalseFalsePro & Farm1,750,000$175,000$63,851$No1,750,000$--------1,750,000$2,500,000$-------No--------
Leonid PafovPhantoms (VOO)D222005-07-28RUSYes168 Lbs5 ft9NoNoDraftNoNo12024-07-09FalseFalsePro & Farm800,000$80,000$29,189$No---------------------------
Maksim VoroninPhantoms (VOO)RW281999-11-16RUSNo187 Lbs5 ft5NoNoAssign Manually2025-06-29NoNo22025-10-26FalseFalsePro & Farm1,999,750$199,975$72,964$No1,999,750$--------1,999,750$--------No--------
Mark StefanskiPhantoms (VOO)C212006-10-20CANYes193 Lbs6 ft1NoNoDraftNoNo12024-07-09FalseFalsePro & Farm800,000$80,000$29,189$No---------------------------
Ole HansenPhantoms (VOO)D182009-02-12DENYes189 Lbs6 ft2NoNoAssign ManuallyNoNo32025-10-09FalseFalsePro & Farm900,000$90,000$32,838$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Oskar DudrovPhantoms (VOO)D321995-04-11RUSNo205 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm904,000$90,400$32,984$No---------------------------
Ruslan SarvarovPhantoms (VOO)C351992-03-13RUSNo198 Lbs5 ft11NoNoAssign ManuallyNoNo12025-09-28FalseFalsePro & Farm1,400,000$140,000$51,081$No---------------------------
Shiro KaimaPhantoms (VOO)C212006-08-04JPNYes191 Lbs5 ft11NoNoAssign ManuallyNoNo32025-10-12FalseFalsePro & Farm800,000$80,000$29,189$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Stephan PrestonPhantoms (VOO)C351992-01-26USANo183 Lbs5 ft7NoNoAssign ManuallyNoYes12025-10-26FalseFalsePro & Farm1,100,000$1,100,000$401,351$No---------------------------
Takeji TakataPhantoms (VOO)RW212006-02-18JPNYes226 Lbs6 ft8NoNoDraftNoNo12024-07-09FalseFalsePro & Farm800,000$80,000$29,189$No---------------------------
Tani PahkamaaPhantoms (VOO)RW212006-06-25FINNo202 Lbs6 ft7NoNoFree AgentNoNo22025-02-23FalseFalsePro & Farm900,000$90,000$32,838$No900,000$--------900,000$--------No--------
Vosip PuntusPhantoms (VOO)LW331994-08-12BLRNo212 Lbs6 ft1NoNoAssign ManuallyNoNo12025-09-28FalseFalsePro & Farm1,705,000$170,500$62,209$No---------------------------
Wesley GroulxPhantoms (VOO)C301997-11-12CANNo202 Lbs6 ft7NoNoTrade2026-01-01NoNo32025-09-28FalseFalsePro & Farm1,000,000$100,000$36,486$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Yann HammondPhantoms (VOO)LW212006-04-16CANYes210 Lbs6 ft1NoNoDraftNoNo32025-10-05FalseFalsePro & Farm1,000,000$100,000$36,486$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Zane HaddixPhantoms (VOO)D281999-08-18USANo213 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm728,000$72,800$26,562$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3227.63194 Lbs6 ft01.781,086,406$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Yann HammondDru PearkesTani Pahkamaa35122
2Ignaty SyromolotovShiro KaimaTakeji Takata35122
3Igor KarsenevRuslan SarvarovKevin Elson20122
4Butch FitzstephensMark StefanskiMaksim Voronin10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Igor ZheldakovOle Hansen35122
2Leonid PafovErling Olsson35122
3Callen DreeshenJohnny Leclair20122
4Igor ZheldakovOle Hansen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Igor KarsenevDru PearkesKevin Elson50122
2Yann HammondRuslan SarvarovTani Pahkamaa50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Igor ZheldakovOle Hansen50122
2Leonid PafovCallen Dreeshen50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ruslan SarvarovIgor Karsenev50122
2Shiro KaimaMaksim Voronin50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Igor ZheldakovOle Hansen50122
2Leonid PafovCallen Dreeshen50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Ruslan Sarvarov50122Igor ZheldakovOle Hansen50122
2Shiro Kaima50122Leonid PafovCallen Dreeshen50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dru PearkesKevin Elson50122
2Tani PahkamaaIgor Karsenev50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Igor ZheldakovOle Hansen50122
2Leonid PafovCallen Dreeshen50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Igor KarsenevDru PearkesKevin ElsonIgor ZheldakovOle Hansen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Igor KarsenevDru PearkesKevin ElsonIgor ZheldakovOle Hansen
Extra Forwards
Normal PowerPlayPenalty Kill
Maksim Voronin, Takeji Takata, Ignaty SyromolotovMaksim Voronin, Takeji TakataIgnaty Syromolotov
Extra Defensemen
Normal PowerPlayPenalty Kill
Erling Olsson, Johnny Leclair, Leonid PafovErling OlssonJohnny Leclair, Leonid Pafov
Penalty Shots
Ignaty Syromolotov, Ole Hansen, Takeji Takata, Mark Stefanski, Erling Olsson
Goalie
#1 : Henrick Polley, #2 : Atley Hebert
Custom OT Lines Forwards
Dru Pearkes, Kevin Elson, Tani Pahkamaa, Igor Karsenev, Maksim Voronin, Takeji Takata, Ruslan Sarvarov, Yann Hammond, Ignaty Syromolotov, Shiro Kaima
Custom OT Lines Defensemen
Igor Zheldakov, Ole Hansen, Leonid Pafov, Callen Dreeshen, Erling Olsson


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
1Auroras10000010321100000103210000000000021.00033600455874530601616653212614423200.00%20100.00%0650130249.92%544111148.96%39084346.26%11837111150474930455
2Bulldogs4120100013121211000008712010100055040.5001320330045587451296016166532111547597812216.67%12283.33%1650130249.92%544111148.96%39084346.26%11837111150474930455
3Comets3020000138-51010000014-32010000124-210.1673580045587451036016166532199382866200.00%90100.00%0650130249.92%544111148.96%39084346.26%11837111150474930455
4Crusaders311001001715221100000131031000010045-130.500172441004558745119601616653211154431533133.33%8362.50%0650130249.92%544111148.96%39084346.26%11837111150474930455
5Devils1010000024-2000000000001010000024-200.000235004558745296016166532129621314250.00%30100.00%0650130249.92%544111148.96%39084346.26%11837111150474930455
6Guppies11000000422000000000001100000042221.00046100045587453860161665321221312225240.00%10100.00%0650130249.92%544111148.96%39084346.26%11837111150474930455
7Hornets21100000633110000006151010000002-220.50061218004558745676016166532159251037000%50100.00%0650130249.92%544111148.96%39084346.26%11837111150474930455
8Hydra4220000012932020000047-32200000082640.500122133014558745127601616653211023012808225.00%6266.67%0650130249.92%544111148.96%39084346.26%11837111150474930455
9Jacks10001000541000000000001000100054121.000581300455874525601616653213114824100.00%4175.00%1650130249.92%544111148.96%39084346.26%11837111150474930455
10Jazz2110000059-41010000016-51100000043120.5005914004558745696016166532162184152700.00%8362.50%0650130249.92%544111148.96%39084346.26%11837111150474930455
11Kings2110000046-21010000014-31100000032120.500471100455874571601616653217517414511100.00%3233.33%0650130249.92%544111148.96%39084346.26%11837111150474930455
12Northmen41300000141402110000010642020000048-420.2501425390045587451616016166532112539451003133.33%10550.00%0650130249.92%544111148.96%39084346.26%11837111150474930455
13Outlaws2100000112102110000006331000000167-130.7501220320045587457560161665321842031446466.67%8362.50%0650130249.92%544111148.96%39084346.26%11837111150474930455
14Rampage52200100131213110010078-12110000064250.5001321340045587451806016166532116546791234125.00%12375.00%0650130249.92%544111148.96%39084346.26%11837111150474930455
15Rock522010001516-1321000008802010100078-160.60015264100455874515460161665321161613213714428.57%6183.33%1650130249.92%544111148.96%39084346.26%11837111150474930455
16Schooners1010000046-2000000000001010000046-200.0004711004558745276016166532146111115000%30100.00%0650130249.92%544111148.96%39084346.26%11837111150474930455
17Spartans211000009721010000035-21100000062420.5009172610455874572601616653217315214722100.00%30100.00%0650130249.92%544111148.96%39084346.26%11837111150474930455
18Stingers22000000752000000000002200000075241.000713200045587458160161665321652214446233.33%7185.71%0650130249.92%544111148.96%39084346.26%11837111150474930455
19Vipers2110000067-1110000003211010000035-220.50061016004558745726016166532167252253000%6266.67%0650130249.92%544111148.96%39084346.26%11837111150474930455
20Wild Wings42200000161422020000069-322000000105540.50016264200455874515460161665321141435110211327.27%13376.92%1650130249.92%544111148.96%39084346.26%11837111150474930455
21Wolfpack1010000035-21010000035-20000000000000.00035800455874531601616653213121620300.00%3166.67%1650130249.92%544111148.96%39084346.26%11837111150474930455
22Wolverines211000008621010000035-21100000051420.5008132100455874569601616653214917247622100.00%20100.00%0650130249.92%544111148.96%39084346.26%11837111150474930455
Total54212503212181176526915001108692-628121003102958411540.50018130148211455874518836016166532117425866031272962930.21%1343276.12%5650130249.92%544111148.96%39084346.26%11837111150474930455
_Since Last GM Reset54212503212181176526915001108692-628121003102958411540.50018130148211455874518836016166532117425866031272962930.21%1343276.12%5650130249.92%544111148.96%39084346.26%11837111150474930455
_Vs Conference37141802201123118518611001006064-419870210163549350.4731232053281145587451307601616653211207396383845651827.69%892077.53%3650130249.92%544111148.96%39084346.26%11837111150474930455
_Vs Division96601100333306340010020182332010001315-2150.833335487004558745290601616653213021167322425832.00%19573.68%2650130249.92%544111148.96%39084346.26%11837111150474930455

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5454W118130148218831742586603127211
All Games
GPWLOTWOTL SOWSOLGFGA
5421253212181176
Home Games
GPWLOTWOTL SOWSOLGFGA
2691501108692
Visitor Games
GPWLOTWOTL SOWSOLGFGA
28121031029584
Last 10 Games
WLOTWOTL SOWSOL
720001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
962930.21%1343276.12%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
601616653214558745
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
650130249.92%544111148.96%39084346.26%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11837111150474930455


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
1 - 2025-11-026Hydra4Phantoms3LBox score
3 - 2025-11-0419Phantoms1Comets2LXXBox score
5 - 2025-11-0634Outlaws3Phantoms6WBox score
6 - 2025-11-0744Wild Wings5Phantoms3LBox score
8 - 2025-11-0954Crusaders7Phantoms4LBox score
10 - 2025-11-1169Rampage1Phantoms3WBox score
12 - 2025-11-1384Phantoms4Wild Wings3WBox score
13 - 2025-11-1491Jazz6Phantoms1LBox score
15 - 2025-11-16103Phantoms2Rock4LBox score
16 - 2025-11-17112Phantoms6Spartans2WBox score
18 - 2025-11-19125Comets4Phantoms1LBox score
20 - 2025-11-21140Rock5Phantoms2LBox score
22 - 2025-11-23152Phantoms2Northmen5LBox score
23 - 2025-11-24161Rock2Phantoms4WBox score
25 - 2025-11-26171Phantoms4Jazz3WBox score
27 - 2025-11-28186Phantoms3Hydra0WBox score
29 - 2025-11-30196Phantoms3Kings2WBox score
31 - 2025-12-02211Phantoms2Bulldogs3LBox score
33 - 2025-12-04221Phantoms2Devils4LBox score
34 - 2025-12-05229Phantoms5Hydra2WBox score
36 - 2025-12-07245Phantoms2Northmen3LBox score
37 - 2025-12-08251Phantoms4Rampage1WBox score
39 - 2025-12-10266Rampage3Phantoms2LXBox score
41 - 2025-12-12278Northmen4Phantoms2LBox score
43 - 2025-12-14293Phantoms2Rampage3LBox score
45 - 2025-12-16307Wolfpack5Phantoms3LBox score
47 - 2025-12-18319Bulldogs5Phantoms4LBox score
48 - 2025-12-19329Wild Wings4Phantoms3LBox score
50 - 2025-12-21340Spartans5Phantoms3LBox score
51 - 2025-12-22351Phantoms4Schooners6LBox score
53 - 2025-12-24358Phantoms3Bulldogs2WXBox score
55 - 2025-12-26371Phantoms1Comets2LBox score
57 - 2025-12-28386Phantoms0Hornets2LBox score
59 - 2025-12-30405Phantoms5Wolverines1WBox score
61 - 2026-01-01414Bulldogs2Phantoms4WBox score
62 - 2026-01-02424Wolverines5Phantoms3LBox score
64 - 2026-01-04436Hydra3Phantoms1LBox score
66 - 2026-01-06451Phantoms5Rock4WXBox score
68 - 2026-01-08461Phantoms4Guppies2WBox score
69 - 2026-01-09474Rock1Phantoms2WBox score
71 - 2026-01-11486Vipers2Phantoms3WBox score
73 - 2026-01-13498Northmen2Phantoms8WBox score
75 - 2026-01-15510Phantoms3Vipers5LBox score
76 - 2026-01-16516Phantoms4Crusaders5LXBox score
78 - 2026-01-18530Phantoms6Outlaws7LXXBox score
79 - 2026-01-19540Auroras2Phantoms3WXXBox score
81 - 2026-01-21551Phantoms5Jacks4WXBox score
83 - 2026-01-23568Rampage4Phantoms2LBox score
85 - 2026-01-25580Phantoms3Stingers2WBox score
86 - 2026-01-26587Hornets1Phantoms6WBox score
88 - 2026-01-28602Phantoms6Wild Wings2WBox score
90 - 2026-01-30618Phantoms4Stingers3WBox score
92 - 2026-02-01626Kings4Phantoms1LBox score
94 - 2026-02-03640Crusaders3Phantoms9WBox score
96 - 2026-02-05654Phantoms-Schooners-
97 - 2026-02-06661Schooners-Phantoms-
99 - 2026-02-08673Stingers-Phantoms-
100 - 2026-02-09681Devils-Phantoms-
102 - 2026-02-11695Schooners-Phantoms-
104 - 2026-02-13710Hydra-Phantoms-
106 - 2026-02-15723Phantoms-Spartans-
107 - 2026-02-16732Phantoms-Yeti-
109 - 2026-02-18738Yeti-Phantoms-
Trade Deadline --- Trades can’t be done after this day is simulated!
111 - 2026-02-20752Stingers-Phantoms-
113 - 2026-02-22765Jacks-Phantoms-
114 - 2026-02-23771Guppies-Phantoms-
116 - 2026-02-25785Phantoms-Wolfpack-
118 - 2026-02-27792Phantoms-Auroras-
120 - 2026-03-01811Phantoms-Rampage-
121 - 2026-03-02817Phantoms-Crusaders-
125 - 2026-03-06841Phantoms-Hydra-
128 - 2026-03-09861Spartans-Phantoms-
129 - 2026-03-10864Comets-Phantoms-
131 - 2026-03-12872Phantoms-Rampage-
132 - 2026-03-13885Rampage-Phantoms-
134 - 2026-03-15897Phantoms-Rock-
137 - 2026-03-18908Rock-Phantoms-
139 - 2026-03-20923Phantoms-Rock-
141 - 2026-03-22932Hydra-Phantoms-
142 - 2026-03-23940Phantoms-Hydra-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance49,81725,028
Attendance PCT95.80%96.26%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
14 2879 - 95.96% 85,576$2,224,968$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,778,569$ 4,466,500$ 4,466,500$ 1,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
4,466,500$ 2,778,569$ 32 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,198,060$ 54 36,936$ 1,994,544$




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
1Dru Pearkes32111713625316342708557105611.08%99539616.8118213950000224647.54%30.9401
2Ruslan Sarvarov2618295177-186423643969311.83%113443316.9918325052224279553.38%10.8012
3Andres Hisey22694731671624241331990510.39%76407518.03162440480008171049.65%20.8203
4Igor Karsenev2865976135-111213493556778.71%143453015.847121926112238144.24%00.6022
5Leon Kwok174577713410839917547312.05%53296517.0419183745000017460.42%00.9038

Phantoms Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Atley Hebert1486055180.9132.6082954336041432610840.61552
2Dominik Mireault108395490.9102.69598443268298017185100.76517
3Henrick Polley863831120.8973.2548588226325611207720.52025
4Johnathon Strachan54222240.9062.722929031331421815100.71414
5Matts Westerholm117210.9052.6057720252641420000

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
Regular Season
180184009436168220-524010230212281110-29408170731487110-23701682674353642565818174451758361662234283280617511234133.33%1995074.87%0646130849.39%757146951.53%512100251.10%144967617778021643823
2803127085452202146401713042221171061140141404323103108-59622035957933558271162472802826814552348766110720221403726.43%1863879.57%4863165752.08%679141947.85%567107452.79%1765103516357261460708
380273706343209213-44018150302210888204092203321101125-24802093425512050668313258583286986244245785788019331553019.35%2304281.74%1881172551.07%776144553.70%560107552.09%1741102416927281418687
4802338031123228264-3640131901313114124-1040101902810114140-26702283776057264857411252280285684438250681993418841423222.54%2176072.35%2856168150.92%879173550.66%585114251.23%170098117187251435708
554212503212181176526915001108692-6281210031029584115418130148211455874518836016166532117425866031272962930.21%1343276.12%5650130249.92%544111148.96%39084346.26%11837111150474930455
Total Regular Season37412016702925141910061087-811866785010789506520-14188538201918610500567-67370100616462652161225634736063112063554375037892201139538604330886265616925.76%96622277.02%123896767350.78%3635717950.63%2614513650.90%783844287973345668883383
Playoff
21477000004642463300000191728440000027252144678124001515151475142165167146417520636818950.00%33972.73%018432856.10%14029647.30%10421049.52%310192302118231115
Total Playoff1477000004642463300000191728440000027252144678124001515151475142165167146417520636818950.00%33972.73%018432856.10%14029647.30%10421049.52%310192302118231115

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
1Andres Hisey14106163432176814.71%424417.47134300002150.97%01.3100
2Nils Lehman146101601110193119.35%920614.75224200002060.00%01.5500
3Leon Kwok144111551010123013.33%323116.54224200000037.50%01.3000
4Dru Pearkes14651101232213915.38%721015.06112300000047.78%01.0400
5Killian Cathcart143692521102114.29%419814.17123200001163.64%00.9100

Phantoms Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Atley Hebert95300.9013.2348320262621450000
2Johnathon Strachan72310.9212.6935700162021190000