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Phantoms
GP: 73 | W: 43 | L: 20 | OTL: 10 | P: 96
GF: 277 | GA: 235 | PP%: 34.67% | PK%: 74.75%
DG: Alexander Phillips | Morale : 50 | Moyenne d’équipe : 73
Prochains matchs #952 vs Bulldogs

Centre de jeu
Vipers
46-21-6, 98pts
2
0 Phantoms
43-20-10, 96pts
Team Stats
W1SéquenceL2
25-9-3Fiche domicile23-8-5
21-12-3Fiche domicile20-12-5
9-0-1Derniers 10 matchs3-4-3
3.55Buts par match 3.79
2.74Buts contre par match 3.22
26.78%Pourcentage en avantage numérique34.67%
78.65%Pourcentage en désavantage numérique74.75%
Phantoms
43-20-10, 96pts
0
2 Jacks
40-27-5, 85pts
Team Stats
L2SéquenceW3
23-8-5Fiche domicile19-14-1
20-12-5Fiche domicile21-13-4
3-4-3Derniers 10 matchs6-3-1
3.79Buts par match 3.32
3.22Buts contre par match 3.17
34.67%Pourcentage en avantage numérique29.41%
74.75%Pourcentage en désavantage numérique75.74%
Phantoms
43-20-10, 96pts
2026-10-22
Bulldogs
32-32-10, 74pts
Statistiques d’équipe
L2SéquenceW3
23-8-5Fiche domicile18-16-3
20-12-5Fiche visiteur14-16-7
3-4-310 derniers matchs7-1-2
3.79Buts par match 2.93
3.22Buts contre par match 2.93
34.67%Pourcentage en avantage numérique20.14%
74.75%Pourcentage en désavantage numérique77.59%
Wolfpack
44-28-1, 89pts
2026-10-23
Phantoms
43-20-10, 96pts
Statistiques d’équipe
L1SéquenceL2
24-13-1Fiche domicile23-8-5
20-15-0Fiche visiteur20-12-5
7-3-010 derniers matchs3-4-3
3.45Buts par match 3.79
3.22Buts contre par match 3.79
26.88%Pourcentage en avantage numérique34.67%
77.84%Pourcentage en désavantage numérique74.75%
Phantoms
43-20-10, 96pts
2026-10-25
Hornets
37-30-5, 79pts
Statistiques d’équipe
L2SéquenceW2
23-8-5Fiche domicile20-13-2
20-12-5Fiche visiteur17-17-3
3-4-310 derniers matchs5-5-0
3.79Buts par match 3.19
3.22Buts contre par match 3.19
34.67%Pourcentage en avantage numérique23.81%
74.75%Pourcentage en désavantage numérique69.81%
Meneurs d'équipe
Buts
Olaf Norlander
34
Passes
Olaf Norlander
38
Points
Olaf Norlander
72
Plus/Moins
Johnny Leclair
29
Victoires
Karel Sivak
25
Pourcentage d’arrêts
Karel Sivak
0.907

Statistiques d’équipe
Buts pour
277
3.79 GFG
Tirs pour
2482
34.00 Avg
Pourcentage en avantage numérique
34.7%
52 GF
Début de zone offensive
39.2%
Buts contre
235
3.22 GAA
Tirs contre
2322
31.81 Avg
Pourcentage en désavantage numérique
74.7%%
50 GA
Début de la zone défensive
34.8%
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
Assistance4,686
Billets de saison1,250


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite Contrat48 / 55
Espoirs2


Historique d'équipe

Saison actuelle43-20-10 (96PTS)
Historique223-194-59 (0.468%)
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
1Kevin Elson83X97.0055429671899991836959823573403535507502931,750,000$
2Ivan Mlachnev42X100.008635919650906586719746445034861450750333900,000$
3Wesley Groulx0X100.0062617063799290909850895642559624507503121,000,000$
4Olaf Norlander (R)0X98.0077726582758077796658986482687782507501931,000,000$
5Igor Karsenev56X97.005255748269908989675444996397844507403521,330,366$
6Vosip Puntus73X100.007538628276957667676087609669446507403411,000,000$
7Takeji Takata (R)93X100.0069347364609380927767628487302767507402251,350,000$
8Yann Hammond (R)62X100.0024628270829992865854657835306867507402221,000,000$
9Ruuno Jortikka (R)0X100.007663756881878074605976786665706750740193800,000$
10Ruslan Sarvarov (A)80X100.004442849475795092955843998041440507303621,300,000$
11Shiro Kaima (R)96X100.007059866366819963914365963526817050720222800,000$
12Ole Hansen (R)44X98.006948917086798668726860898964807550770192900,000$
13Leonid Pafov (R)20X100.0055406874999981852543787858433258507502351,900,000$
14Christofer Widell (R)0X100.007554696372928364597881746364657650750203800,000$
15Zane Haddix (A)22X100.0054386374849960702585439074977630507402941,362,160$
16Johnny Leclair2X100.0099376554626389932588537776748233507302821,350,000$
17Alek Isotalus40X100.005857928971598568255567819957962950720305700,000$
Rayé
1Dru Pearkes (C)52X97.0083456095787663807873947050439834507803041,600,000$
2Tani Pahkamaa95X94.006549737697708078824693887040357750760225900,000$
3Oystein Gravdahl (R)0X96.5472656276819273808462866868777283507601831,000,000$
4Maksim Voronin56X100.0041378093769768697243769442764936507302911,999,750$
5Waylon Mcindeor (R)0X100.0066577369839479864970625762326064507302411,088,216$
6Ignaty Syromolotov (R)90X100.003350737281709478835072829530566250720222900,000$
7Jaki Krabbe59X100.007945667893627460825085357744754850680264818,750$
8Butch Fitzstephens89X100.003545876046816670973670917073671350650321700,000$
9Erling Olsson48X100.004039589057865163258945995259495050690261700,000$
10Sven Thunberg (R)0X100.006836629768757084254570735963466850690213800,000$
MOYENNE D’ÉQUIPE99.17624874767584777864617076675565475073
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)097.00766362766769818186656077457150730213800,000$
Rayé
MOYENNE D’ÉQUIPE98.5080656872666280837874618547595073
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)LW7334387223154110162732917616711.68%32123216.881234320222283255.95%846725011.1701778545
2Oystein GravdahlPhantoms (VOO)C6927356211761301611212436212211.11%29120317.44661213331011332151.82%12894221011.03116515511
3Ruslan SarvarovPhantoms (VOO)C7027315810101051841464310118.49%2697213.8951419147900061318256.36%6055315101.1900002224
4Takeji TakataPhantoms (VOO)RW7320345410295122111208681259.62%19121816.705491284000001137.50%723625000.8926001351
5Yann HammondPhantoms (VOO)LW73252651-469652373163559415.34%24116916.0166121069000023136.11%723617000.8700229142
6Igor KarsenevPhantoms (VOO)LW732522478331511376131397019.08%26108914.92126182711100061513055.81%432919100.8626021442
7Tani PahkamaaPhantoms (VOO)RW6621244515564012385152567013.82%24124018.792358870000192149.61%1273426020.7316440233
8Igor ZheldakovVoodooD5323234-6149751088014865451.35%55112821.290442120002100000%03643000.6000537011
9Shiro KaimaPhantoms (VOO)C591123341462507811251144021.57%2899416.8527935910131082149.84%959522000.6800523212
10Zane HaddixPhantoms (VOO)D7313233666101081536935241.45%103168523.090553430001149010%01371000.3900011142
11Leonid PafovPhantoms (VOO)D73426301589259611012239613.28%96172423.63268121120114144000%02762000.3500113013
12Ruuno JortikkaPhantoms (VOO)RW7318927-157359774107317316.82%2487311.9755101570000005055.88%341719000.6200025112
13Dru PearkesPhantoms (VOO)C3511152613160715311933809.24%1250914.550111161011182249.49%3963210001.0212000221
14Maksim VoroninPhantoms (VOO)RW46814221540254463204312.70%1460513.1702247001141061046.15%132217100.7300000013
15Ignaty SyromolotovPhantoms (VOO)LW50101222795124575213813.33%1057111.4411212000060160.00%15158000.7722001201
16Kevin ElsonPhantoms (VOO)RW27101121300233772143813.89%753419.78145836000020040.31%129103000.7901000220
17Wesley GroulxPhantoms (VOO)C4351621-3251552448635395.81%755712.950330190000140053.95%3801713000.7500021110
18Johnny LeclairPhantoms (VOO)D730161629355105803815140%47103014.1200000000140000%0725000.3100100001
19Christofer WidellPhantoms (VOO)D730161616493594916420240%68125617.22000030011140000%02740000.2500250011
20Ole HansenPhantoms (VOO)D53291194430541056221353.23%73123823.362138690110113100%01148000.1822231010
21Ivan MlachnevPhantoms (VOO)RW23448-20019153281112.50%523010.03101115000002041.51%5393000.6901000100
22Erling OlssonPhantoms (VOO)D222575281023361251216.67%2846321.06101229000134100%0816000.3000011000
23Vosip PuntusPhantoms (VOO)LW23415320842110719.05%1954.15000010001410100.00%450001.0500000000
24Alek IsotalusPhantoms (VOO)D180223001187410%71598.880000100005000%024000.2500000000
Statistiques d’équipe totales ou en moyenne13142714537241891162670172917242482789133410.92%7652178516.5852801321481091369341258371351.16%4275560552340.661128354059343935
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)46251160.9072.912595201261354715210.643144231305
2Atley HebertPhantoms (VOO)3418940.8923.38184920104967571200.857143142241
Statistiques d’équipe totales ou en moyenne804320100.9013.114444402302321128641287373546


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$8,571$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$15,306$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$8,571$No---------------------------
Christofer WidellPhantoms (VOO)D202008-12-27SWEYes192 Lbs6 ft0NoNoDraftNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$9,796$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Dru PearkesPhantoms (VOO)C301998-04-11CANNo181 Lbs5 ft11NoNoAssign ManuallyNoNo42026-10-19FalseFalsePro & Farm1,600,000$160,000$19,592$No1,999,999$1,999,999$1,999,999$------1,999,999$1,999,999$1,999,999$------NoNoNo------
Erling OlssonPhantoms (VOO)D262002-01-06SWENo185 Lbs5 ft11NoNoTrade2025-06-28NoNo1FalseFalsePro & Farm700,000$70,000$8,571$No---------------------------
Ignaty SyromolotovPhantoms (VOO)LW222006-01-11RUSYes225 Lbs6 ft4NoNoDraftNoNo22025-10-05FalseFalsePro & Farm900,000$90,000$11,020$No900,000$--------900,000$--------No--------
Igor KarsenevPhantoms (VOO)LW351993-06-27RUSNo200 Lbs6 ft2NoNoAssign ManuallyNoNo22026-05-02FalseFalsePro & Farm1,330,366$133,037$16,290$No1,330,366$--------1,330,366$--------No--------
Ivan MlachnevPhantoms (VOO)RW331995-08-11RUSNo184 Lbs5 ft7NoNoFree Agent2024-03-07NoNo32026-05-03FalseFalsePro & Farm900,000$90,000$11,020$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Jaki KrabbePhantoms (VOO)RW262002-02-13FINNo181 Lbs5 ft6NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & Farm818,750$81,875$10,026$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$16,531$No1,350,000$--------1,350,000$--------No--------
Karel SivakPhantoms (VOO)G212007-05-12SVKYes178 Lbs5 ft6NoNoDraftNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$9,796$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Kevin ElsonPhantoms (VOO)RW291999-08-25CANNo165 Lbs5 ft10NoNoAssign ManuallyNoNo32026-10-19FalseFalsePro & Farm1,750,000$175,000$21,429$No1,582,058$1,582,058$-------1,582,058$1,582,058$-------NoNo-------
Leonid PafovPhantoms (VOO)D232005-07-28RUSYes168 Lbs5 ft9NoNoDraftNoNo52026-05-03FalseFalsePro & Farm1,900,000$190,000$23,265$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$24,487$No---------------------------
Olaf NorlanderPhantoms (VOO)LW192009-09-12SWEYes194 Lbs6 ft3NoNoDraftNoNo32026-05-09FalseFalsePro & Farm1,000,000$100,000$12,245$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Ole HansenPhantoms (VOO)D192009-02-12DENYes189 Lbs6 ft2NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm900,000$90,000$11,020$No900,000$--------900,000$--------No--------
Oystein GravdahlPhantoms (VOO)C182010-04-15NORYes201 Lbs6 ft4NoNoDraftNoNo32026-06-08FalseFalsePro & Farm1,000,000$100,000$12,245$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$15,918$No1,300,000$--------1,300,000$--------No--------
Ruuno JortikkaPhantoms (VOO)RW192009-06-17FINYes182 Lbs5 ft9NoNoDraftNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$9,796$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Shiro KaimaPhantoms (VOO)C222006-08-04JPNYes191 Lbs5 ft11NoNoAssign ManuallyNoNo22025-10-12FalseFalsePro & Farm800,000$80,000$9,796$No800,000$--------800,000$--------No--------
Sven ThunbergPhantoms (VOO)D212007-09-22SWEYes217 Lbs6 ft4NoNoDraftNoNo32026-05-27FalseFalsePro & Farm800,000$80,000$9,796$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Takeji TakataPhantoms (VOO)RW222006-02-18JPNYes226 Lbs6 ft8NoNoDraftNoNo52026-05-03FalseFalsePro & Farm1,350,000$135,000$16,531$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 Pahkamaa (sur la masse salariale)Phantoms (VOO)RW222006-06-25FINNo202 Lbs6 ft7NoNoFree AgentNoNo52026-10-19FalseFalsePro & Farm900,000$0$0$Yes1,827,090$1,827,090$1,827,090$1,827,090$-----1,827,090$1,827,090$1,827,090$1,827,090$-----NoNoNoNo-----
Vosip PuntusPhantoms (VOO)LW341994-08-12BLRNo212 Lbs6 ft1NoNoAssign ManuallyNoNo12026-05-03FalseFalsePro & Farm1,000,000$100,000$12,245$No---------------------------
Waylon McindeorPhantoms (VOO)RW242004-12-11USAYes175 Lbs5 ft9NoNoFree Agent2026-05-24NoNo12026-06-03FalseFalsePro & Farm1,088,216$108,822$13,325$No---------------------------
Wesley GroulxPhantoms (VOO)C311997-11-12CANNo202 Lbs6 ft7NoNoTrade2026-01-01NoNo22025-09-28FalseFalsePro & Farm1,000,000$100,000$12,245$No1,000,000$--------1,000,000$--------No--------
Yann HammondPhantoms (VOO)LW222006-04-16CANYes210 Lbs6 ft1NoNoDraftNoNo22025-10-05FalseFalsePro & Farm1,000,000$100,000$12,245$No1,000,000$--------1,000,000$--------No--------
Zane HaddixPhantoms (VOO)D291999-08-18USANo213 Lbs6 ft0NoNoN/ANoNo42026-10-19FalseFalsePro & Farm1,362,160$136,216$16,680$No1,750,000$1,750,000$1,750,000$------1,750,000$1,750,000$1,750,000$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.83193 Lbs6 ft02.761,096,526$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Olaf NorlanderWesley Groulx33122
2Igor KarsenevIvan MlachnevKevin Elson33122
3Yann HammondTakeji Takata20122
4Kevin ElsonRuuno Jortikka14122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ole HansenLeonid Pafov38122
2Christofer WidellZane Haddix38122
3Johnny LeclairOle Hansen24122
4Ole HansenLeonid Pafov0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Olaf NorlanderWesley Groulx50131
2Igor KarsenevTakeji TakataKevin Elson50131
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ole HansenLeonid Pafov50122
2Christofer WidellZane Haddix50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kevin ElsonOlaf Norlander50131
2Igor Karsenev50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ole HansenLeonid Pafov50140
2Christofer WidellZane Haddix50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150140Ole HansenLeonid Pafov50140
2Olaf Norlander50140Christofer WidellZane Haddix50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kevin ElsonOlaf Norlander50122
2Igor Karsenev50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ole HansenLeonid Pafov50122
2Christofer WidellZane Haddix50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Olaf NorlanderWesley GroulxOle HansenLeonid Pafov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Igor KarsenevKevin ElsonChristofer WidellZane Haddix
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Olaf Norlander, Takeji Takata, Ruuno JortikkaOlaf Norlander, Takeji TakataOlaf Norlander
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zane Haddix, Johnny Leclair, Ole HansenZane HaddixZane Haddix, Johnny Leclair
Tirs de pénalité
Takeji Takata, , Igor Karsenev, Kevin Elson, Olaf Norlander
Gardien
#1 : Karel Sivak, #2 : Atley Hebert
Lignes d’attaque personnalisées en prolongation
Vosip Puntus, , Wesley Groulx, Kevin Elson, Olaf Norlander, Takeji Takata, Ruuno Jortikka, Igor Karsenev, Yann Hammond, Ivan Mlachnev
Lignes de défense personnalisées en prolongation
Ole Hansen, Leonid Pafov, Christofer Widell, Zane Haddix, Johnny Leclair


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
1Auroras31200000912-32020000059-41100000043120.333914230077909916105767807872641023954738337.50%7271.43%0847165251.27%774146652.80%566109551.69%155689715756641318658
2Bulldogs11000000413110000004130000000000021.000461000779099164076780787264211426253133.33%30100.00%0847165251.27%774146652.80%566109551.69%155689715756641318658
3Comets22000000624110000003121100000031241.000612180077909916757678078726452211841300.00%40100.00%0847165251.27%774146652.80%566109551.69%155689715756641318658
4Crusaders210001005411000010012-11100000042230.750581300779099168076780787264642630436116.67%5260.00%0847165251.27%774146652.80%566109551.69%155689715756641318658
5Devils75100010251783200001010644310000015114120.857254267107790991625376780787264260857315111327.27%14192.86%1847165251.27%774146652.80%566109551.69%155689715756641318658
6Drillers3100110013112210001008711000100054150.833132336007790991610176780787264863624716466.67%7185.71%0847165251.27%774146652.80%566109551.69%155689715756641318658
7Guppies851010013423114400000018994110100116142130.8133456900077909916254767807872642307514619126934.62%23769.57%0847165251.27%774146652.80%566109551.69%155689715756641318658
8Hornets73201100322574210100019136311001001312190.643324880007790991622876780787264215617714118738.89%16381.25%0847165251.27%774146652.80%566109551.69%155689715756641318658
9Hydra20000110880100000103211000010056-130.750812200077909916667678078726471202768100.00%60100.00%0847165251.27%774146652.80%566109551.69%155689715756641318658
10Jacks31200000911-2110000006512020000036-320.3339132200779099168476780787264943325666233.33%5260.00%0847165251.27%774146652.80%566109551.69%155689715756641318658
11Jazz20100100810-21010000045-11000010045-110.25081422007790991661767807872644191056100.00%5340.00%0847165251.27%774146652.80%566109551.69%155689715756641318658
12Kings2020000036-31010000023-11010000013-200.00035800779099164676780787264702636583133.33%8275.00%0847165251.27%774146652.80%566109551.69%155689715756641318658
13Northmen2010010058-31000010045-11010000013-210.2505101500779099166676780787264681912552150.00%6266.67%1847165251.27%774146652.80%566109551.69%155689715756641318658
14Outlaws301010011112-1200010018801010000034-130.5001118290077909916117767807872641103739684250.00%7528.57%0847165251.27%774146652.80%566109551.69%155689715756641318658
15Rampage22000000743110000003211100000042241.00071219007790991672767807872646325635022100.00%4175.00%0847165251.27%774146652.80%566109551.69%155689715756641318658
16Rock21100000945110000008171010000013-220.5009172600779099166576780787264541949544250.00%7271.43%0847165251.27%774146652.80%566109551.69%155689715756641318658
17Schooners2010000169-31010000046-21000000123-110.2506101600779099166576780787264542033519222.22%4250.00%0847165251.27%774146652.80%566109551.69%155689715756641318658
18Spartans210000101284110000005231000001076141.00012183000779099168476780787264701547444375.00%6183.33%0847165251.27%774146652.80%566109551.69%155689715756641318658
19Stingers22000000844110000004221100000042241.0008152300779099167776780787264662223384125.00%4175.00%0847165251.27%774146652.80%566109551.69%155689715756641318658
20Swamp Puppies2010001089-11010000024-21000001065120.50081321007790991668767807872646487554700.00%5340.00%0847165251.27%774146652.80%566109551.69%155689715756641318658
21Vipers3110100010821010000002-221001000106440.667101525007790991672767807872641032953584125.00%14192.86%0847165251.27%774146652.80%566109551.69%155689715756641318658
22Wild Wings220000001266110000006421100000062441.00012203200779099167576780787264652523433266.67%9277.78%0847165251.27%774146652.80%566109551.69%155689715756641318658
23Wolfpack311000101214-21100000042220100010812-440.667121931007790991696767807872641073295855120.00%10370.00%0847165251.27%774146652.80%566109551.69%155689715756641318658
24Wolverines311000019901000000123-12110000076130.50091322007790991611776780787264923754786233.33%7271.43%0847165251.27%774146652.80%566109551.69%155689715756641318658
25Yeti3110001012102110000007342010001057-240.6671220320077909916115767807872641003254674250.00%12283.33%1847165251.27%774146652.80%566109551.69%155689715756641318658
Total7332200566427723542361980232214010733371312033421371289960.65827745373010779099162482767807872642322765116617291505234.67%1985074.75%3847165251.27%774146652.80%566109551.69%155689715756641318658
_Since Last GM Reset7332200566427723542361980232214010733371312033421371289960.65827745373010779099162482767807872642322765116617291505234.67%1985074.75%3847165251.27%774146652.80%566109551.69%155689715756641318658
_Vs Conference48201505233179158212312502112897019258100312190882610.6351792864651077909916158876780787264156952273011071013736.63%1303176.15%2847165251.27%774146652.80%566109551.69%155689715756641318658
_Vs Division1713402111745816981010104127148530110133312341.00074118192007790991654376780787264486145233388451635.56%441370.45%0847165251.27%774146652.80%566109551.69%155689715756641318658

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7396L2277453730248223227651166172910
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7332205664277235
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
361982322140107
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3713123342137128
Derniers 10 matchs
WLOTWOTL SOWSOL
340201
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1505234.67%1985074.75%3
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
7678078726477909916
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
847165251.27%774146652.80%566109551.69%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
155689715756641318658


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 - 2026-08-12443Phantoms3Comets1WSommaire du match
62 - 2026-08-14464Jacks5Phantoms6WSommaire du match
64 - 2026-08-16471Phantoms5Hydra6LXSommaire du match
66 - 2026-08-18489Phantoms5Drillers4WXSommaire du match
67 - 2026-08-19498Phantoms3Jacks4LSommaire du match
69 - 2026-08-21514Devils1Phantoms2WXXSommaire du match
71 - 2026-08-23526Hornets5Phantoms3LSommaire du match
72 - 2026-08-24539Rock1Phantoms8WSommaire du match
74 - 2026-08-26552Crusaders2Phantoms1LXSommaire du match
76 - 2026-08-28560Phantoms4Auroras3WSommaire du match
78 - 2026-08-30579Wolverines3Phantoms2LXXSommaire du match
80 - 2026-09-01596Phantoms6Swamp Puppies5WXXSommaire du match
81 - 2026-09-02603Guppies4Phantoms7WSommaire du match
83 - 2026-09-04616Phantoms6Hornets2WSommaire du match
85 - 2026-09-06631Comets1Phantoms3WSommaire du match
86 - 2026-09-07639Swamp Puppies4Phantoms2LSommaire du match
89 - 2026-09-10658Jazz5Phantoms4LSommaire du match
90 - 2026-09-11667Phantoms4Jazz5LXSommaire du match
92 - 2026-09-13682Guppies1Phantoms4WSommaire du match
93 - 2026-09-14691Drillers3Phantoms5WSommaire du match
95 - 2026-09-16703Phantoms1Kings3LSommaire du match
97 - 2026-09-18719Hornets3Phantoms8WSommaire du match
99 - 2026-09-20738Phantoms3Wolfpack8LSommaire du match
100 - 2026-09-21740Phantoms2Devils4LSommaire du match
103 - 2026-09-24759Phantoms4Devils3WSommaire du match
104 - 2026-09-25770Devils2Phantoms3WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
106 - 2026-09-27784Phantoms4Stingers2WSommaire du match
107 - 2026-09-28790Phantoms4Guppies5LXXSommaire du match
109 - 2026-09-30805Phantoms3Outlaws4LSommaire du match
111 - 2026-10-02822Northmen5Phantoms4LXSommaire du match
113 - 2026-10-04834Phantoms4Rampage2WSommaire du match
114 - 2026-10-05842Hydra2Phantoms3WXXSommaire du match
117 - 2026-10-08860Phantoms1Guppies2LSommaire du match
118 - 2026-10-09866Phantoms4Hornets5LXSommaire du match
120 - 2026-10-11883Phantoms1Rock3LSommaire du match
124 - 2026-10-15910Phantoms2Schooners3LXXSommaire du match
125 - 2026-10-16921Phantoms5Vipers4WXSommaire du match
127 - 2026-10-18928Vipers2Phantoms0LSommaire du match
128 - 2026-10-19937Phantoms0Jacks2LSommaire du match
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
Assistance100,95867,754
Assistance PCT93.48%94.10%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
4 4686 - 93.73% 164,300$5,914,790$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,906,261$ 3,089,925$ 3,089,925$ 1,250,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,089,925$ 2,809,334$ 28 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
657,199$ 18 29,523$ 531,414$




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 Pearkes37814117031136389832658126411.16%117631616.7120264657101327847.96%30.9813
2Ruslan Sarvarov357114139253-127631455789612.72%151580416.26265379772243318853.71%10.8712
3Igor Karsenev38596100196-415850345385211.27%181602215.64231841601123014446.73%00.6548
4Takeji Takata2909796193439851235785711.32%91470216.211071721101165737.35%20.82417
5Igor Zheldakov36316160176-96686225456662.40%403742320.4541519220225220%00.4700

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 Hebert1948566230.9082.791073763499544033891040.68169
2Henrick Polley1044836130.8993.1958428231130661449720.50032
3Dominik Mireault108395490.9102.69598443268298017185100.76517
4Karel Sivak46251160.9072.912595201261354715210.64314
5Johnathon Strachan54222240.9062.722929031331421815100.71414

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
673322005664277235423619802322140107333713120334213712899627745373010779099162482767807872642322765116617291505234.67%1985074.75%3847165251.27%774146652.80%566109551.69%155689715756641318658
Total Saison régulière47316619403532222413821406-242369398012101112699681182377396023221112683725-425021382226336451712353472500851452945734857494829614552491557921118085824027.97%122828576.79%165016986750.84%4692919051.06%3421665451.41%9957565610106435086664273
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