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Phantoms
GP: 54 | W: 25 | L: 25 | OTL: 4 | P: 54
GF: 181 | GA: 176 | PP%: 30.21% | PK%: 76.12%
DG: Alexander Phillips | Morale : 50 | Moyenne d’équipe : 72
Prochains matchs #654 vs Schooners

Centre de jeu
Kings
35-12-6, 76pts
4
1 Phantoms
25-25-4, 54pts
Team Stats
W2SéquenceW1
12-10-2Fiche domicile10-15-1
23-2-4Fiche domicile15-10-3
8-2-0Derniers 10 matchs7-2-1
3.55Buts par match 3.35
2.75Buts contre par match 3.26
28.44%Pourcentage en avantage numérique30.21%
76.19%Pourcentage en désavantage numérique76.12%
Crusaders
26-16-9, 61pts
3
9 Phantoms
25-25-4, 54pts
Team Stats
L1SéquenceW1
15-7-3Fiche domicile10-15-1
11-9-6Fiche domicile15-10-3
5-5-0Derniers 10 matchs7-2-1
3.49Buts par match 3.35
3.45Buts contre par match 3.26
34.07%Pourcentage en avantage numérique30.21%
72.41%Pourcentage en désavantage numérique76.12%
Phantoms
25-25-4, 54pts
2026-02-05
Schooners
36-13-5, 77pts
Statistiques d’équipe
W1SéquenceW3
10-15-1Fiche domicile17-8-2
15-10-3Fiche visiteur19-5-3
7-2-110 derniers matchs8-2-0
3.35Buts par match 3.61
3.26Buts contre par match 3.61
30.21%Pourcentage en avantage numérique22.94%
76.12%Pourcentage en désavantage numérique75.00%
Schooners
36-13-5, 77pts
2026-02-06
Phantoms
25-25-4, 54pts
Statistiques d’équipe
W3SéquenceW1
17-8-2Fiche domicile10-15-1
19-5-3Fiche visiteur15-10-3
8-2-010 derniers matchs7-2-1
3.61Buts par match 3.35
2.85Buts contre par match 3.35
22.94%Pourcentage en avantage numérique30.21%
75.00%Pourcentage en désavantage numérique76.12%
Stingers
19-30-5, 43pts
2026-02-08
Phantoms
25-25-4, 54pts
Statistiques d’équipe
W2SéquenceW1
12-15-4Fiche domicile10-15-1
7-15-1Fiche visiteur15-10-3
3-7-010 derniers matchs7-2-1
2.69Buts par match 3.35
3.69Buts contre par match 3.35
21.78%Pourcentage en avantage numérique30.21%
73.65%Pourcentage en désavantage numérique76.12%
Meneurs d'équipe
Buts
Tani Pahkamaa
24
Passes
Dru Pearkes
36
Points
Dru Pearkes
56
Plus/Moins
Erling Olsson
18
Victoires
Henrick Polley
17
Pourcentage d’arrêts
Henrick Polley
0.902

Statistiques d’équipe
Buts pour
181
3.35 GFG
Tirs pour
1883
34.87 Avg
Pourcentage en avantage numérique
30.2%
29 GF
Début de zone offensive
40.0%
Buts contre
176
3.26 GAA
Tirs contre
1742
32.26 Avg
Pourcentage en désavantage numérique
76.1%%
32 GA
Début de la zone défensive
34.1%
Informations de l'équipe

Directeur généralAlexander Phillips
EntraîneurJulian Weiss
DivisionSouth East Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2Zane Haddix


Informations de l’aréna

Capacité3,000
Assistance2,879
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure19
Limite contact 51 / 55
Espoirs5


Historique d'équipe

Saison actuelle25-25-4 (54PTS)
Historique163-167-48 (0.431%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)7 - 7 (0.500%)
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
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$
Rayé
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$
MOYENNE D’ÉQUIPE99.79634675787581747761606774675563395072
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Henrick Polley3398.00649271829280686179656336747150750212800,000$
2Atley Hebert3299.008367746665537884688261934951507202611,497,500$
Rayé
1Antonio Jean38100.00635450779171867276808133721507203911,200,000$
MOYENNE D’ÉQUIPE99.0070716575836877727476685465415073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Julian Weiss94309492409757USA4711,000,000$


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur Nom de l’équipePOSGP 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
Statistiques d’équipe totales ou en moyenne9831803014813062031012781217189862410339.48%5891616316.442946757970158132085424948.46%3322449390020.602891637272724
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien Nom de l’équipeGP 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
Statistiques d’équipe totales ou en moyenne58252540.9013.1932584117317419562195454051


Astuces sur les filtres (anglais seulement)
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
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
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---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3227.63194 Lbs6 ft01.781,086,406$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Yann HammondDru PearkesTani Pahkamaa35122
2Ignaty SyromolotovShiro KaimaTakeji Takata35122
3Igor KarsenevRuslan SarvarovKevin Elson20122
4Butch FitzstephensMark StefanskiMaksim Voronin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Igor ZheldakovOle Hansen35122
2Leonid PafovErling Olsson35122
3Callen DreeshenJohnny Leclair20122
4Igor ZheldakovOle Hansen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Igor KarsenevDru PearkesKevin Elson50122
2Yann HammondRuslan SarvarovTani Pahkamaa50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Igor ZheldakovOle Hansen50122
2Leonid PafovCallen Dreeshen50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ruslan SarvarovIgor Karsenev50122
2Shiro KaimaMaksim Voronin50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Igor ZheldakovOle Hansen50122
2Leonid PafovCallen Dreeshen50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ruslan Sarvarov50122Igor ZheldakovOle Hansen50122
2Shiro Kaima50122Leonid PafovCallen Dreeshen50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dru PearkesKevin Elson50122
2Tani PahkamaaIgor Karsenev50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Igor ZheldakovOle Hansen50122
2Leonid PafovCallen Dreeshen50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Igor KarsenevDru PearkesKevin ElsonIgor ZheldakovOle Hansen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Igor KarsenevDru PearkesKevin ElsonIgor ZheldakovOle Hansen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Maksim Voronin, Takeji Takata, Ignaty SyromolotovMaksim Voronin, Takeji TakataIgnaty Syromolotov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Erling Olsson, Johnny Leclair, Leonid PafovErling OlssonJohnny Leclair, Leonid Pafov
Tirs de pénalité
Ignaty Syromolotov, Ole Hansen, Takeji Takata, Mark Stefanski, Erling Olsson
Gardien
#1 : Henrick Polley, #2 : Atley Hebert
Lignes d’attaque personnalisées en prolongation
Dru Pearkes, Kevin Elson, Tani Pahkamaa, Igor Karsenev, Maksim Voronin, Takeji Takata, Ruslan Sarvarov, Yann Hammond, Ignaty Syromolotov, Shiro Kaima
Lignes de défense personnalisées en prolongation
Igor Zheldakov, Ole Hansen, Leonid Pafov, Callen Dreeshen, Erling Olsson


Astuces sur les filtres (anglais seulement)
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
TotalDomicileVisiteur
# VS Équipe 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 pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5454W118130148218831742586603127211
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5421253212181176
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2691501108692
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
28121031029584
Derniers 10 matchs
WLOTWOTL SOWSOL
720001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
962930.21%1343276.12%5
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
601616653214558745
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
650130249.92%544111148.96%39084346.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11837111150474930455


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2025-11-026Hydra4Phantoms3LSommaire du match
3 - 2025-11-0419Phantoms1Comets2LXXSommaire du match
5 - 2025-11-0634Outlaws3Phantoms6WSommaire du match
6 - 2025-11-0744Wild Wings5Phantoms3LSommaire du match
8 - 2025-11-0954Crusaders7Phantoms4LSommaire du match
10 - 2025-11-1169Rampage1Phantoms3WSommaire du match
12 - 2025-11-1384Phantoms4Wild Wings3WSommaire du match
13 - 2025-11-1491Jazz6Phantoms1LSommaire du match
15 - 2025-11-16103Phantoms2Rock4LSommaire du match
16 - 2025-11-17112Phantoms6Spartans2WSommaire du match
18 - 2025-11-19125Comets4Phantoms1LSommaire du match
20 - 2025-11-21140Rock5Phantoms2LSommaire du match
22 - 2025-11-23152Phantoms2Northmen5LSommaire du match
23 - 2025-11-24161Rock2Phantoms4WSommaire du match
25 - 2025-11-26171Phantoms4Jazz3WSommaire du match
27 - 2025-11-28186Phantoms3Hydra0WSommaire du match
29 - 2025-11-30196Phantoms3Kings2WSommaire du match
31 - 2025-12-02211Phantoms2Bulldogs3LSommaire du match
33 - 2025-12-04221Phantoms2Devils4LSommaire du match
34 - 2025-12-05229Phantoms5Hydra2WSommaire du match
36 - 2025-12-07245Phantoms2Northmen3LSommaire du match
37 - 2025-12-08251Phantoms4Rampage1WSommaire du match
39 - 2025-12-10266Rampage3Phantoms2LXSommaire du match
41 - 2025-12-12278Northmen4Phantoms2LSommaire du match
43 - 2025-12-14293Phantoms2Rampage3LSommaire du match
45 - 2025-12-16307Wolfpack5Phantoms3LSommaire du match
47 - 2025-12-18319Bulldogs5Phantoms4LSommaire du match
48 - 2025-12-19329Wild Wings4Phantoms3LSommaire du match
50 - 2025-12-21340Spartans5Phantoms3LSommaire du match
51 - 2025-12-22351Phantoms4Schooners6LSommaire du match
53 - 2025-12-24358Phantoms3Bulldogs2WXSommaire du match
55 - 2025-12-26371Phantoms1Comets2LSommaire du match
57 - 2025-12-28386Phantoms0Hornets2LSommaire du match
59 - 2025-12-30405Phantoms5Wolverines1WSommaire du match
61 - 2026-01-01414Bulldogs2Phantoms4WSommaire du match
62 - 2026-01-02424Wolverines5Phantoms3LSommaire du match
64 - 2026-01-04436Hydra3Phantoms1LSommaire du match
66 - 2026-01-06451Phantoms5Rock4WXSommaire du match
68 - 2026-01-08461Phantoms4Guppies2WSommaire du match
69 - 2026-01-09474Rock1Phantoms2WSommaire du match
71 - 2026-01-11486Vipers2Phantoms3WSommaire du match
73 - 2026-01-13498Northmen2Phantoms8WSommaire du match
75 - 2026-01-15510Phantoms3Vipers5LSommaire du match
76 - 2026-01-16516Phantoms4Crusaders5LXSommaire du match
78 - 2026-01-18530Phantoms6Outlaws7LXXSommaire du match
79 - 2026-01-19540Auroras2Phantoms3WXXSommaire du match
81 - 2026-01-21551Phantoms5Jacks4WXSommaire du match
83 - 2026-01-23568Rampage4Phantoms2LSommaire du match
85 - 2026-01-25580Phantoms3Stingers2WSommaire du match
86 - 2026-01-26587Hornets1Phantoms6WSommaire du match
88 - 2026-01-28602Phantoms6Wild Wings2WSommaire du match
90 - 2026-01-30618Phantoms4Stingers3WSommaire du match
92 - 2026-02-01626Kings4Phantoms1LSommaire du match
94 - 2026-02-03640Crusaders3Phantoms9WSommaire du match
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-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
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-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance49,81725,028
Assistance PCT95.80%96.26%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
14 2879 - 95.96% 85,576$2,224,968$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,778,569$ 4,466,500$ 4,466,500$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
4,466,500$ 2,778,569$ 32 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,198,060$ 54 36,936$ 1,994,544$




Phantoms Leaders statistiques des joueurs (saison régulière)

# Nom du joueur 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 Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien 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 Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année 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
Saison régulière
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 Saison régulière37412016702925141910061087-811866785010789506520-14188538201918610500567-67370100616462652161225634736063112063554375037892201139538604330886265616925.76%96622277.02%123896767350.78%3635717950.63%2614513650.90%783844287973345668883383
Séries éliminatoires
21477000004642463300000191728440000027252144678124001515151475142165167146417520636818950.00%33972.73%018432856.10%14029647.30%10421049.52%310192302118231115
Total Séries éliminatoires1477000004642463300000191728440000027252144678124001515151475142165167146417520636818950.00%33972.73%018432856.10%14029647.30%10421049.52%310192302118231115

Phantoms Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur 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 Leaders des statistiques des gardiens (séries éliminatoires)

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