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Phantoms
GP: 34 | W: 24 | L: 8 | OTL: 2 | P: 50
GF: 138 | GA: 106 | PP%: 42.65% | PK%: 75.24%
DG: Alexander Phillips | Morale : 50 | Moyenne d’équipe : 74
Prochains matchs #443 vs Comets

Centre de jeu
Auroras
17-13-3, 37pts
5
2 Phantoms
24-8-2, 50pts
Team Stats
W1SéquenceL2
9-3-1Fiche domicile13-4-2
8-10-2Fiche domicile11-4-0
5-4-1Derniers 10 matchs6-3-1
3.48Buts par match 4.06
3.45Buts contre par match 3.12
31.82%Pourcentage en avantage numérique42.65%
71.30%Pourcentage en désavantage numérique75.24%
Schooners
15-13-6, 36pts
6
4 Phantoms
24-8-2, 50pts
Team Stats
W2SéquenceL2
8-6-4Fiche domicile13-4-2
7-7-2Fiche domicile11-4-0
5-3-2Derniers 10 matchs6-3-1
3.32Buts par match 4.06
3.59Buts contre par match 3.12
30.14%Pourcentage en avantage numérique42.65%
75.31%Pourcentage en désavantage numérique75.24%
Phantoms
24-8-2, 50pts
2026-08-12
Comets
20-9-5, 45pts
Statistiques d’équipe
L2SéquenceW1
13-4-2Fiche domicile10-4-5
11-4-0Fiche visiteur10-5-0
6-3-110 derniers matchs6-2-2
4.06Buts par match 3.35
3.12Buts contre par match 3.35
42.65%Pourcentage en avantage numérique25.00%
75.24%Pourcentage en désavantage numérique71.05%
Jacks
16-15-3, 35pts
2026-08-14
Phantoms
24-8-2, 50pts
Statistiques d’équipe
SOL1SéquenceL2
9-6-1Fiche domicile13-4-2
7-9-2Fiche visiteur11-4-0
6-2-210 derniers matchs6-3-1
2.88Buts par match 4.06
3.38Buts contre par match 4.06
28.77%Pourcentage en avantage numérique42.65%
76.58%Pourcentage en désavantage numérique75.24%
Phantoms
24-8-2, 50pts
2026-08-16
Hydra
17-15-2, 36pts
Statistiques d’équipe
L2SéquenceL2
13-4-2Fiche domicile9-6-0
11-4-0Fiche visiteur8-9-2
6-3-110 derniers matchs4-4-2
4.06Buts par match 2.71
3.12Buts contre par match 2.71
42.65%Pourcentage en avantage numérique20.99%
75.24%Pourcentage en désavantage numérique74.47%
Meneurs d'équipe
Buts
Olaf Norlander
18
Passes
Takeji Takata
21
Points
Olaf Norlander
36
Plus/Moins
Olaf Norlander
18
Victoires
Karel Sivak
14
Pourcentage d’arrêts
Karel Sivak
0.912

Statistiques d’équipe
Buts pour
138
4.06 GFG
Tirs pour
1235
36.32 Avg
Pourcentage en avantage numérique
42.6%
29 GF
Début de zone offensive
40.2%
Buts contre
106
3.12 GAA
Tirs contre
1070
31.47 Avg
Pourcentage en désavantage numérique
75.2%%
26 GA
Début de la zone défensive
34.6%
Informations de l'équipe

Directeur généralAlexander Phillips
EntraîneurJulian Weiss
DivisionCentral
ConférenceWestern Conference
CapitaineDru Pearkes
Assistant #1Ruslan Sarvarov
Assistant #2Zane Haddix


Informations de l’aréna

Capacité5,000
Assistance4,627
Billets de saison1,250


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite Contrat48 / 55
Espoirs2


Historique d'équipe

Saison actuelle24-8-2 (50PTS)
Historique204-182-54 (0.464%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)13 - 14 (0.481%)
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
1Tani Pahkamaa95X96.006549737697708078824693887040357750760221900,000$
2Oystein Gravdahl (R)0X99.0072656276819273808462866868777283507601831,000,000$
3Wesley Groulx0X100.0062617063799290909850895642559624507503121,000,000$
4Olaf Norlander (R)0X100.0077726582758077796658986482687782507501931,000,000$
5Igor Karsenev56X100.005255748269908989675444996397844507403521,330,366$
6Takeji Takata (R)93X100.0069347364609380927767628487302767507402251,350,000$
7Yann Hammond (R)62X100.0024628270829992865854657835306867507402221,000,000$
8Ruuno Jortikka (R)0X100.007663756881878074605976786665706750740193800,000$
9Ruslan Sarvarov (A)80X100.004442849475795092955843998041440507303621,300,000$
10Maksim Voronin56X100.0041378093769768697243769442764936507302911,999,750$
11Ignaty Syromolotov (R)90X100.003350737281709478835072829530566250720222900,000$
12Shiro Kaima (R)96X100.007059866366819963914365963526817050720222800,000$
13Igor Zheldakov16X100.0071626097829288852578537751788064507902321,700,000$
14Leonid Pafov (R)20X100.0055406874999981852543787858433258507502351,900,000$
15Christofer Widell (R)0X100.007554696372928364597881746364657650750203800,000$
16Zane Haddix (A)22X100.0054386374849960702585439074977630507402911,362,160$
17Johnny Leclair2X100.0099376554626389932588537776748233507302821,350,000$
18Erling Olsson48X100.004039589057865163258945995259495050690261700,000$
Rayé
1Dru Pearkes (C)52X53.7583456095787663807873947050439834507803011,600,000$
2Kevin Elson83X100.0055429671899991836959823573403535507502911,750,000$
3Ivan Mlachnev42X100.008635919650906586719746445034861450750333900,000$
4Vosip Puntus73X100.007538628276957667676087609669446507403411,000,000$
5Waylon Mcindeor (R)0X100.0066577369839479864970625762326064507302411,088,216$
6Jaki Krabbe59X100.007945667893627460825085357744754850680264818,750$
7Butch Fitzstephens89X100.003545876046816670973670917073671350650321700,000$
8Ole Hansen (R)44X74.046948917086798668726860898964807550770192900,000$
9Alek Isotalus40X100.005857928971598568255567819957962950720305700,000$
10Sven Thunberg (R)0X100.006836629768757084254570735963466850690213800,000$
MOYENNE D’ÉQUIPE97.24634974777685787863616976675665485074
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
1Atley Hebert32100.008467746765547885698361934946507302731,250,000$
2Karel Sivak (R)099.00766362766769818186656077457150730213800,000$
Rayé
MOYENNE D’ÉQUIPE99.5080656872666280837874618547595073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Julian Weiss95319693419755USA4831,250,000$


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
1Olaf NorlanderPhantoms (VOO)LW341818361889557135144378312.50%1652415.4400000000002046.67%303311001.3701443223
2Takeji TakataPhantoms (VOO)RW3411213217255574612140609.09%1158717.29145644000000140.00%302013001.0913001351
3Oystein GravdahlPhantoms (VOO)C34151732-359458248122366512.30%1556816.7132547000061150.61%6602012011.1300324500
4Ruslan SarvarovPhantoms (VOO)C341712291155284973214923.29%1250014.7149137450003826259.15%328283001.1600001221
5Yann HammondPhantoms (VOO)LW34121426-23230113987325613.79%1557917.05426643000001033.33%452510000.9000114011
6Tani PahkamaaPhantoms (VOO)RW349162514230564683304110.84%1961918.21112641000062047.50%401814000.8101420112
7Igor ZheldakovPhantoms (VOO)D3412122-611355744710144310.99%4274321.8703329000270000%02229000.5900416010
8Shiro KaimaPhantoms (VOO)C3081422122525466730101926.67%2058519.522573361012731150.65%61429000.7500212212
9Igor KarsenevPhantoms (VOO)LW3481220123115482753133215.09%1445613.445498460004792052.94%17117100.8812021120
10Zane HaddixPhantoms (VOO)D341181915381049674016142.50%5377222.7203305000178010%0534000.4900011122
11Leonid PafovPhantoms (VOO)D342151714602056555515313.64%4980623.71235846011377000%01229000.4200112011
12Dru PearkesPhantoms (VOO)C26691568047279323566.45%1030411.7000001000041147.24%163265000.9900000111
13Maksim VoroninPhantoms (VOO)RW3068141240142944182613.64%1139313.110111410112710045.45%11166100.7100000012
14Ruuno JortikkaPhantoms (VOO)RW348513-34630452949183716.33%1441512.214371043000004061.54%13512000.6300024111
15Ignaty SyromolotovPhantoms (VOO)LW3066121558273791516.22%634811.6210110000050158.33%1294000.6922001000
16Johnny LeclairPhantoms (VOO)D3407714120454116980%1748214.1900000000019000%0414000.2900000001
17Ole HansenPhantoms (VOO)D302462272519583411195.88%5267922.66213533000076100%0421000.1822221010
18Christofer WidellPhantoms (VOO)D34044101515333130680%2649014.420000000008000%0129000.1600030000
19Kevin ElsonPhantoms (VOO)RW42134002951040.00%07619.1200002000000045.00%6010000.7800000000
20Erling OlssonPhantoms (VOO)D21231953320050.00%44020.290000500001000%023001.4800001000
21Wesley GroulxPhantoms (VOO)C8112-6008915276.67%310112.7001101000020057.69%5211000.3900000000
22Vosip PuntusPhantoms (VOO)LW410100000100100.00%051.37000000000100100.00%100003.6500000000
23Alek IsotalusPhantoms (VOO)D2000000000100%042.300000000000000%00000000000000
24Ivan MlachnevPhantoms (VOO)RW4000000000010%071.820000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne612135225360130645375802789123539265810.93%4091009416.49294271674581231766921851.20%2076276246210.71611212232192218
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
1Karel SivakPhantoms (VOO)2214410.9122.7412030055622324101.00021816203
2Atley HebertPhantoms (VOO)1610410.8883.508570050448260100.75081618120
Statistiques d’équipe totales ou en moyenne3824820.9023.06206100105107058420103434323


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)D301998-03-26FINNo190 Lbs5 ft9NoNoFree AgentNoNo52026-05-03FalseFalsePro & Farm700,000$70,000$42,381$No700,000$700,000$700,000$700,000$-----700,000$700,000$700,000$700,000$-----NoNoNoNo-----
Atley HebertPhantoms (VOO)G272001-01-02USANo171 Lbs5 ft8NoNoFree AgentNoNo32026-06-05FalseFalsePro & Farm1,250,000$125,000$75,680$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Butch FitzstephensPhantoms (VOO)LW321996-01-13USANo208 Lbs6 ft7NoNoAssign ManuallyNoNo12025-09-28FalseFalsePro & Farm700,000$70,000$42,381$No---------------------------
Christofer WidellPhantoms (VOO)D202008-12-27SWEYes192 Lbs6 ft0NoNoDraftNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$48,435$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Dru Pearkes (sur la masse salariale)Phantoms (VOO)C301998-04-11CANNo181 Lbs5 ft11NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm1,600,000$0$0$Yes---------------------------
Erling OlssonPhantoms (VOO)D262002-01-06SWENo185 Lbs5 ft11NoNoTrade2025-06-28NoNo1FalseFalsePro & Farm700,000$70,000$42,381$No---------------------------
Ignaty SyromolotovPhantoms (VOO)LW222006-01-11RUSYes225 Lbs6 ft4NoNoDraftNoNo22025-10-05FalseFalsePro & Farm900,000$90,000$54,490$No900,000$--------900,000$--------No--------
Igor KarsenevPhantoms (VOO)LW351993-06-27RUSNo200 Lbs6 ft2NoNoAssign ManuallyNoNo22026-05-02FalseFalsePro & Farm1,330,366$133,037$80,546$No1,330,366$--------1,330,366$--------No--------
Igor ZheldakovPhantoms (VOO)D232005-03-03RUSNo193 Lbs6 ft3NoNoN/ANoNo22024-06-07FalseFalsePro & Farm1,700,000$170,000$102,925$No1,700,000$--------1,700,000$--------No--------
Ivan MlachnevPhantoms (VOO)RW331995-08-11RUSNo184 Lbs5 ft7NoNoFree Agent2024-03-07NoNo32026-05-03FalseFalsePro & Farm900,000$90,000$54,490$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Jaki KrabbePhantoms (VOO)RW262002-02-13FINNo181 Lbs5 ft6NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & Farm818,750$81,875$49,571$No818,750$818,750$818,750$------818,750$818,750$818,750$------NoNoNo------
Johnny LeclairPhantoms (VOO)D282000-08-08CANNo184 Lbs5 ft6NoNoAssign Manually2024-03-10NoNo22025-09-28FalseFalsePro & Farm1,350,000$135,000$81,735$No1,350,000$--------1,350,000$--------No--------
Karel SivakPhantoms (VOO)G212007-05-12SVKYes178 Lbs5 ft6NoNoDraftNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$48,435$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Kevin ElsonPhantoms (VOO)RW291999-08-25CANNo165 Lbs5 ft10NoNoAssign ManuallyNoNo12025-10-26FalseFalsePro & Farm1,750,000$175,000$105,952$No---------------------------
Leonid PafovPhantoms (VOO)D232005-07-28RUSYes168 Lbs5 ft9NoNoDraftNoNo52026-05-03FalseFalsePro & Farm1,900,000$190,000$115,034$No1,900,000$1,900,000$1,900,000$1,900,000$-----1,900,000$1,900,000$1,900,000$1,900,000$-----NoNoNoNo-----
Maksim VoroninPhantoms (VOO)RW291999-11-16RUSNo187 Lbs5 ft5NoNoAssign Manually2025-06-29NoNo12025-10-26FalseFalsePro & Farm1,999,750$199,975$121,073$No---------------------------
Olaf NorlanderPhantoms (VOO)LW192009-09-12SWEYes194 Lbs6 ft3NoNoDraftNoNo32026-05-09FalseFalsePro & Farm1,000,000$100,000$60,544$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Ole Hansen (sur la masse salariale)Phantoms (VOO)D192009-02-12DENYes189 Lbs6 ft2NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm900,000$0$0$Yes900,000$--------900,000$--------No--------
Oystein GravdahlPhantoms (VOO)C182010-04-15NORYes201 Lbs6 ft4NoNoDraftNoNo32026-06-08FalseFalsePro & Farm1,000,000$100,000$60,544$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Ruslan SarvarovPhantoms (VOO)C361992-03-13RUSNo198 Lbs5 ft11NoNoAssign ManuallyNoNo22026-05-02FalseFalsePro & Farm1,300,000$130,000$78,707$No1,300,000$--------1,300,000$--------No--------
Ruuno JortikkaPhantoms (VOO)RW192009-06-17FINYes182 Lbs5 ft9NoNoDraftNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$48,435$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Shiro KaimaPhantoms (VOO)C222006-08-04JPNYes191 Lbs5 ft11NoNoAssign ManuallyNoNo22025-10-12FalseFalsePro & Farm800,000$80,000$48,435$No800,000$--------800,000$--------No--------
Sven ThunbergPhantoms (VOO)D212007-09-22SWEYes217 Lbs6 ft4NoNoDraftNoNo32026-05-27FalseFalsePro & Farm800,000$80,000$48,435$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Takeji TakataPhantoms (VOO)RW222006-02-18JPNYes226 Lbs6 ft8NoNoDraftNoNo52026-05-03FalseFalsePro & Farm1,350,000$135,000$81,735$No1,350,000$1,350,000$1,350,000$1,350,000$-----1,350,000$1,350,000$1,350,000$1,350,000$-----NoNoNoNo-----
Tani PahkamaaPhantoms (VOO)RW222006-06-25FINNo202 Lbs6 ft7NoNoFree AgentNoNo12025-02-23FalseFalsePro & Farm900,000$90,000$54,490$No---------------------------
Vosip PuntusPhantoms (VOO)LW341994-08-12BLRNo212 Lbs6 ft1NoNoAssign ManuallyNoNo12026-05-03FalseFalsePro & Farm1,000,000$100,000$60,544$No---------------------------
Waylon McindeorPhantoms (VOO)RW242004-12-11USAYes175 Lbs5 ft9NoNoFree Agent2026-05-24NoNo12026-06-03FalseFalsePro & Farm1,088,216$108,822$65,885$No---------------------------
Wesley GroulxPhantoms (VOO)C311997-11-12CANNo202 Lbs6 ft7NoNoTrade2026-01-01NoNo22025-09-28FalseFalsePro & Farm1,000,000$100,000$60,544$No1,000,000$--------1,000,000$--------No--------
Yann HammondPhantoms (VOO)LW222006-04-16CANYes210 Lbs6 ft1NoNoDraftNoNo22025-10-05FalseFalsePro & Farm1,000,000$100,000$60,544$No1,000,000$--------1,000,000$--------No--------
Zane HaddixPhantoms (VOO)D291999-08-18USANo213 Lbs6 ft0NoNoN/ANoNo12026-05-03FalseFalsePro & Farm1,362,160$136,216$82,471$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3025.73193 Lbs6 ft02.331,116,641$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Yann HammondOystein GravdahlTani Pahkamaa33122
2Olaf NorlanderShiro KaimaTakeji Takata33122
3Ignaty SyromolotovWesley GroulxRuuno Jortikka20122
4Igor KarsenevRuslan SarvarovMaksim Voronin14122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Igor ZheldakovErling Olsson38122
2Zane HaddixLeonid Pafov38122
3Christofer WidellJohnny Leclair24122
4Igor ZheldakovErling Olsson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Igor KarsenevRuslan SarvarovTani Pahkamaa50131
2Yann HammondShiro KaimaRuuno Jortikka50131
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Leonid PafovMaksim Voronin50122
2Erling OlssonTakeji Takata50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ruslan SarvarovIgor Karsenev50131
2Shiro KaimaMaksim Voronin50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Igor ZheldakovErling Olsson50140
2Zane HaddixLeonid Pafov50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ruslan Sarvarov50140Igor ZheldakovErling Olsson50140
2Shiro Kaima50140Zane HaddixLeonid Pafov50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Oystein GravdahlYann Hammond50122
2Shiro KaimaOlaf Norlander50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Igor ZheldakovErling Olsson50122
2Zane HaddixLeonid Pafov50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ignaty SyromolotovRuslan SarvarovTani PahkamaaLeonid PafovErling Olsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Igor KarsenevRuslan SarvarovMaksim VoroninZane HaddixErling Olsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ruslan Sarvarov, Tani Pahkamaa, Igor KarsenevRuslan Sarvarov, Igor KarsenevRuslan Sarvarov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zane Haddix, Leonid Pafov, Igor ZheldakovLeonid PafovLeonid Pafov, Igor Zheldakov
Tirs de pénalité
Igor Karsenev, Tani Pahkamaa, Takeji Takata, Olaf Norlander, Ruslan Sarvarov
Gardien
#1 : Karel Sivak, #2 : Atley Hebert
Lignes d’attaque personnalisées en prolongation
Wesley Groulx, Olaf Norlander, Tani Pahkamaa, Igor Karsenev, Oystein Gravdahl, Takeji Takata, Ruslan Sarvarov, Yann Hammond, Ruuno Jortikka, Shiro Kaima
Lignes de défense personnalisées en prolongation
Igor Zheldakov, Johnny Leclair, Zane Haddix, Christofer Widell, Leonid Pafov


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
TotalDomicile Visiteur
# 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 RI
1Auroras2020000059-42020000059-40000000000000.00057120040444897038638245622633140555120.00%5260.00%041682650.36%36671251.40%28151854.25%740438730302591293
2Bulldogs11000000413110000004130000000000021.00046100040444894038638245622211426253133.33%30100.00%041682650.36%36671251.40%28151854.25%740438730302591293
3Crusaders11000000422000000000001100000042221.0004711004044489433863824562234172113100.00%3166.67%041682650.36%36671251.40%28151854.25%740438730302591293
4Devils330000001477110000005322200000094561.000142640004044489116386382456221103649676350.00%7185.71%041682650.36%36671251.40%28151854.25%740438730302591293
5Drillers1000010034-11000010034-10000000000010.500369004044489383863824562226109152150.00%2150.00%041682650.36%36671251.40%28151854.25%740438730302591293
6Guppies43001000181172200000074321001000117481.00018304800404448913438638245622107357810115746.67%14471.43%041682650.36%36671251.40%28151854.25%740438730302591293
7Hornets3110100011101210010008531010000035-240.6671118290040444899538638245622772528595240.00%9277.78%041682650.36%36671251.40%28151854.25%740438730302591293
8Kings1010000023-11010000023-10000000000000.0002350040444892738638245622412330312150.00%5180.00%041682650.36%36671251.40%28151854.25%740438730302591293
9Northmen1010000013-2000000000001010000013-200.0001230040444893038638245622228231000%10100.00%041682650.36%36671251.40%28151854.25%740438730302591293
10Outlaws20001001880200010018800000000000030.750813210040444898238638245622732733464250.00%4250.00%041682650.36%36671251.40%28151854.25%740438730302591293
11Rampage11000000321110000003210000000000021.00035800404448934386382456222922462711100.00%3166.67%041682650.36%36671251.40%28151854.25%740438730302591293
12Schooners1010000046-21010000046-20000000000000.00047110040444893738638245622271014294125.00%2150.00%041682650.36%36671251.40%28151854.25%740438730302591293
13Spartans210000101284110000005231000001076141.0001218300040444898438638245622701547444375.00%6183.33%041682650.36%36671251.40%28151854.25%740438730302591293
14Stingers11000000422110000004220000000000021.0004812004044489413863824562235171522000%000%041682650.36%36671251.40%28151854.25%740438730302591293
15Vipers11000000523000000000001100000052321.0005510004044489303863824562236112918100.00%7185.71%041682650.36%36671251.40%28151854.25%740438730302591293
16Wild Wings220000001266110000006421100000062441.0001220320040444897538638245622652523433266.67%9277.78%041682650.36%36671251.40%28151854.25%740438730302591293
17Wolfpack21000010963110000004221000001054141.00091423004044489673863824562268215153400.00%8275.00%041682650.36%36671251.40%28151854.25%740438730302591293
18Wolverines21100000761000000000002110000076120.500710170040444897738638245622663050564250.00%5260.00%041682650.36%36671251.40%28151854.25%740438730302591293
19Yeti3110001012102110000007342010001057-240.667122032004044489115386382456221003254674250.00%12283.33%141682650.36%36671251.40%28151854.25%740438730302591293
Total3418803131138106321911402101755817157401030634815500.7351382253630040444891235386382456221070409645802682942.65%1052675.24%141682650.36%36671251.40%28151854.25%740438730302591293
_Since Last GM Reset3418803131138106321911402101755817157401030634815500.7351382253630040444891235386382456221070409645802682942.65%1052675.24%141682650.36%36671251.40%28151854.25%740438730302591293
_Vs Conference241160312194761813630210149418115301020453510340.7089415224600404448985138638245622767281451568522140.38%782074.36%141682650.36%36671251.40%28151854.25%740438730302591293
_Vs Division77102000292184400100015963310100014122181.286294877004044489229386382456221846010616020945.00%23673.91%041682650.36%36671251.40%28151854.25%740438730302591293

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3450L21382253631235107040964580200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
341883131138106
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1911421017558
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
157410306348
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
682942.65%1052675.24%1
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
386382456224044489
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
41682650.36%36671251.40%28151854.25%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
740438730302591293


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 - 2026-06-145Devils3Phantoms5WSommaire du match
3 - 2026-06-1624Spartans2Phantoms5WSommaire du match
5 - 2026-06-1836Phantoms1Northmen3LSommaire du match
6 - 2026-06-1948Wolfpack2Phantoms4WSommaire du match
8 - 2026-06-2165Phantoms5Wolfpack4WXXSommaire du match
10 - 2026-06-2376Guppies3Phantoms5WSommaire du match
11 - 2026-06-2482Rampage2Phantoms3WSommaire du match
13 - 2026-06-2699Outlaws2Phantoms3WXSommaire du match
15 - 2026-06-28107Phantoms6Devils3WSommaire du match
17 - 2026-06-30129Guppies1Phantoms2WSommaire du match
19 - 2026-07-02141Stingers2Phantoms4WSommaire du match
20 - 2026-07-03156Phantoms4Wolverines1WSommaire du match
22 - 2026-07-05164Wild Wings4Phantoms6WSommaire du match
24 - 2026-07-07178Auroras4Phantoms3LSommaire du match
26 - 2026-07-09191Phantoms6Guppies3WSommaire du match
27 - 2026-07-10203Hornets2Phantoms3WXSommaire du match
29 - 2026-07-12212Phantoms3Devils1WSommaire du match
30 - 2026-07-13224Bulldogs1Phantoms4WSommaire du match
32 - 2026-07-15240Phantoms3Wolverines5LSommaire du match
34 - 2026-07-17255Drillers4Phantoms3LXSommaire du match
36 - 2026-07-19262Phantoms4Crusaders2WSommaire du match
37 - 2026-07-20280Phantoms2Yeti5LSommaire du match
39 - 2026-07-22289Yeti3Phantoms7WSommaire du match
41 - 2026-07-24303Phantoms3Hornets5LSommaire du match
43 - 2026-07-26323Phantoms6Wild Wings2WSommaire du match
45 - 2026-07-28336Phantoms5Vipers2WSommaire du match
47 - 2026-07-30349Hornets3Phantoms5WSommaire du match
48 - 2026-07-31361Phantoms7Spartans6WXXSommaire du match
50 - 2026-08-02372Kings3Phantoms2LSommaire du match
52 - 2026-08-04390Phantoms3Yeti2WXXSommaire du match
54 - 2026-08-06400Outlaws6Phantoms5LXXSommaire du match
55 - 2026-08-07407Phantoms5Guppies4WXSommaire du match
57 - 2026-08-09426Auroras5Phantoms2LSommaire du match
58 - 2026-08-10433Schooners6Phantoms4LSommaire du match
60 - 2026-08-12443Phantoms-Comets-
62 - 2026-08-14464Jacks-Phantoms-
64 - 2026-08-16471Phantoms-Hydra-
66 - 2026-08-18489Phantoms-Drillers-
67 - 2026-08-19498Phantoms-Jacks-
69 - 2026-08-21514Devils-Phantoms-
71 - 2026-08-23526Hornets-Phantoms-
72 - 2026-08-24539Rock-Phantoms-
74 - 2026-08-26552Crusaders-Phantoms-
76 - 2026-08-28560Phantoms-Auroras-
78 - 2026-08-30579Wolverines-Phantoms-
80 - 2026-09-01596Phantoms-Swamp Puppies-
81 - 2026-09-02603Guppies-Phantoms-
83 - 2026-09-04616Phantoms-Hornets-
85 - 2026-09-06631Comets-Phantoms-
86 - 2026-09-07639Swamp Puppies-Phantoms-
89 - 2026-09-10658Jazz-Phantoms-
90 - 2026-09-11667Phantoms-Jazz-
92 - 2026-09-13682Guppies-Phantoms-
93 - 2026-09-14691Drillers-Phantoms-
95 - 2026-09-16703Phantoms-Kings-
97 - 2026-09-18719Hornets-Phantoms-
99 - 2026-09-20738Phantoms-Wolfpack-
100 - 2026-09-21740Phantoms-Devils-
103 - 2026-09-24759Phantoms-Devils-
104 - 2026-09-25770Devils-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
106 - 2026-09-27784Phantoms-Stingers-
107 - 2026-09-28790Phantoms-Guppies-
109 - 2026-09-30805Phantoms-Outlaws-
111 - 2026-10-02822Northmen-Phantoms-
113 - 2026-10-04834Phantoms-Rampage-
114 - 2026-10-05842Hydra-Phantoms-
117 - 2026-10-08860Phantoms-Guppies-
118 - 2026-10-09866Phantoms-Hornets-
120 - 2026-10-11883Phantoms-Rock-
124 - 2026-10-15910Phantoms-Schooners-
125 - 2026-10-16921Phantoms-Vipers-
127 - 2026-10-18928Vipers-Phantoms-
128 - 2026-10-19937Phantoms-Jacks-
131 - 2026-10-22952Phantoms-Bulldogs-
132 - 2026-10-23965Wolfpack-Phantoms-
134 - 2026-10-25972Phantoms-Hornets-
135 - 2026-10-26982Hornets-Phantoms-
137 - 2026-10-28993Devils-Phantoms-
139 - 2026-10-301003Guppies-Phantoms-
145 - 2026-11-051033Phantoms-Devils-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets3515
Assistance52,68635,222
Assistance PCT92.43%92.69%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
21 4627 - 92.53% 162,318$3,084,041$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,788,273$ 3,099,925$ 3,099,925$ 1,250,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,099,925$ 1,295,086$ 28 2

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,408,677$ 89 29,591$ 2,633,599$




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 Pearkes36913616430029381808632123810.99%115611116.5620254556000226747.84%30.9801
2Ruslan Sarvarov321104120224-117129152282312.64%137533216.61254873702243016853.76%10.8412
3Takeji Takata2518883171509444729277011.43%83407016.22671315101164737.67%20.84314
4Igor Karsenev3467990169015643840477410.21%169538915.58161632411122813445.21%00.6334
5Andres Hisey22694731671624241331990510.39%76407518.03162440480008171049.65%20.8203

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 Hebert1767761200.9102.7497464344549213078940.65163
2Henrick Polley1044836130.8993.1958428231130661449720.50032
3Dominik Mireault108395490.9102.69598443268298017185100.76517
4Johnathon Strachan54222240.9062.722929031331421815100.71414
5Karel Sivak2214410.9122.7412030055622324101.0002

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
5803532043332802602040162000121139146-740191204212141114279028046574511659311511272485391694033257787689918611484832.43%1984577.27%6923184450.05%827165649.94%631126649.84%1744104117087041390686
63418803131138106321911402101755817157401030634815501382253630040444891235386382456221070409645802682942.65%1052675.24%141682650.36%36671251.40%28151854.25%740438730302591293
Total Saison régulière43415218203327192112431277-342198594012891163463222156788021191010609645-364561243203532781612316426449781328241924432453225413300455952711025377621727.96%113526177.00%144585904150.71%4284843650.78%3136607751.60%914151969262398879383907
Séries éliminatoires
21477000004642463300000191728440000027252144678124001515151475142165167146417520636818950.00%33972.73%018432856.10%14029647.30%10421049.52%310192302118231115
51367000003839-1624000001417-374300000242221238619900917934731651551391436813017133317317.65%33778.79%013127347.99%12023750.63%8319243.23%300180258118240114
Total Séries éliminatoires27131400000848131257000003334-115870000051474268413922300243224494830732030615832305377701351234.29%661675.76%031560152.41%26053348.78%18740246.52%610373560236471229

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
1Dru Pearkes2713922-32880359913.13%1244616.55213500001044.77%00.9800
2Ruslan Sarvarov2799182536461048.65%746017.04202400023053.14%00.7800
3Andres Hisey14106163432176814.71%424417.47134300002150.97%01.3100
4Nils Lehman146101601110193119.35%920614.75224200002060.00%01.5500
5Leon Kwok144111551010123013.33%323116.54224200000037.50%01.3000

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 Hebert189800.9002.9197020474722780000
2Henrick Polley62110.8863.483100018158720000
3Johnathon Strachan72310.9212.6935700162021190000