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Connexion

Phantoms
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Alexander Phillips | Morale : 50 | Moyenne d’équipe : 74
Prochains matchs #5 vs Devils

Devils
0-0-0, 0pts
2026-06-14
Phantoms
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Spartans
0-0-0, 0pts
2026-06-16
Phantoms
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Phantoms
0-0-0, 0pts
2026-06-18
Northmen
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite Contrat48 / 55
Espoirs2


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique180-174-50 (0.446%)
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
1Dru Pearkes (C)52X100.0083456095787663807873947050439834507803011,600,000$
2Tani Pahkamaa95X100.006549737697708078824693887040357750760221900,000$
3Oystein Gravdahl (R)0X100.0072656276819273808462866868777283507601831,000,000$
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$
14Ole Hansen (R)44X100.006948917086798668726860898964807550770192900,000$
15Leonid Pafov (R)20X100.0055406874999981852543787858433258507502351,900,000$
16Christofer Widell (R)0X100.007554696372928364597881746364657650750203800,000$
17Zane Haddix (A)22X100.0054386374849960702585439074977630507402911,362,160$
18Johnny Leclair2X100.0099376554626389932588537776748233507302821,350,000$
Rayé
1Kevin Elson83X100.0055429671899991836959823573403535507502911,750,000$
2Ivan Mlachnev42X100.008635919650906586719746445034861450750333900,000$
3Wesley Groulx0X100.0062617063799290909850895642559624507503121,000,000$
4Vosip Puntus73X100.007538628276957667676087609669446507403411,000,000$
5Waylon Mcindeor (R)0X100.0066577369839479864970625762326064507302411,088,216$
6Jaki Krabbe59X100.007945667893627460825085357744754850680264818,750$
7Butch Fitzstephens89X100.003545876046816670973670917073671350650321700,000$
8Alek Isotalus40X100.005857928971598568255567819957962950720305700,000$
9Erling Olsson48X100.004039589057865163258945995259495050690261700,000$
10Sven Thunberg (R)0X100.006836629768757084254570735963466850690213800,000$
MOYENNE D’ÉQUIPE100.00634974777685787863616976675665485074
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)0100.00766362766769818186656077457150730213800,000$
Rayé
MOYENNE D’ÉQUIPE100.0080656872666280837874618547595073
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
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


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$70,000$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$125,000$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$70,000$No---------------------------
Christofer WidellPhantoms (VOO)D202008-12-27SWEYes192 Lbs6 ft0NoNoDraftNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$80,000$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Dru PearkesPhantoms (VOO)C301998-04-11CANNo181 Lbs5 ft11NoNoAssign ManuallyNoNo12025-02-01FalseFalsePro & Farm1,600,000$160,000$160,000$No---------------------------
Erling OlssonPhantoms (VOO)D262002-01-06SWENo185 Lbs5 ft11NoNoTrade2025-06-28NoNo1FalseFalsePro & Farm700,000$70,000$70,000$No---------------------------
Ignaty SyromolotovPhantoms (VOO)LW222006-01-11RUSYes225 Lbs6 ft4NoNoDraftNoNo22025-10-05FalseFalsePro & Farm900,000$90,000$90,000$No900,000$--------900,000$--------No--------
Igor KarsenevPhantoms (VOO)LW351993-06-27RUSNo200 Lbs6 ft2NoNoAssign ManuallyNoNo22026-05-02FalseFalsePro & Farm1,330,366$133,037$133,037$No1,330,366$--------1,330,366$--------No--------
Igor ZheldakovPhantoms (VOO)D232005-03-03RUSNo193 Lbs6 ft3NoNoN/ANoNo22024-06-07FalseFalsePro & Farm1,700,000$170,000$170,000$No1,700,000$--------1,700,000$--------No--------
Ivan MlachnevPhantoms (VOO)RW331995-08-11RUSNo184 Lbs5 ft7NoNoFree Agent2024-03-07NoNo32026-05-03FalseFalsePro & Farm900,000$90,000$90,000$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Jaki KrabbePhantoms (VOO)RW262002-02-13FINNo181 Lbs5 ft6NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & Farm818,750$81,875$81,875$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$135,000$No1,350,000$--------1,350,000$--------No--------
Karel SivakPhantoms (VOO)G212007-05-12SVKYes178 Lbs5 ft6NoNoDraftNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$80,000$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$175,000$No---------------------------
Leonid PafovPhantoms (VOO)D232005-07-28RUSYes168 Lbs5 ft9NoNoDraftNoNo52026-05-03FalseFalsePro & Farm1,900,000$190,000$190,000$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$199,975$No---------------------------
Olaf NorlanderPhantoms (VOO)LW192009-09-12SWEYes194 Lbs6 ft3NoNoDraftNoNo32026-05-09FalseFalsePro & Farm1,000,000$100,000$100,000$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$90,000$No900,000$--------900,000$--------No--------
Oystein GravdahlPhantoms (VOO)C182010-04-15NORYes201 Lbs6 ft4NoNoDraftNoNo32026-06-08FalseFalsePro & Farm1,000,000$100,000$100,000$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$130,000$No1,300,000$--------1,300,000$--------No--------
Ruuno JortikkaPhantoms (VOO)RW192009-06-17FINYes182 Lbs5 ft9NoNoDraftNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$80,000$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Shiro KaimaPhantoms (VOO)C222006-08-04JPNYes191 Lbs5 ft11NoNoAssign ManuallyNoNo22025-10-12FalseFalsePro & Farm800,000$80,000$80,000$No800,000$--------800,000$--------No--------
Sven ThunbergPhantoms (VOO)D212007-09-22SWEYes217 Lbs6 ft4NoNoDraftNoNo32026-05-27FalseFalsePro & Farm800,000$80,000$80,000$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Takeji TakataPhantoms (VOO)RW222006-02-18JPNYes226 Lbs6 ft8NoNoDraftNoNo52026-05-03FalseFalsePro & Farm1,350,000$135,000$135,000$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$90,000$No---------------------------
Vosip PuntusPhantoms (VOO)LW341994-08-12BLRNo212 Lbs6 ft1NoNoAssign ManuallyNoNo12026-05-03FalseFalsePro & Farm1,000,000$100,000$100,000$No---------------------------
Waylon McindeorPhantoms (VOO)RW242004-12-11USAYes175 Lbs5 ft9NoNoFree Agent2026-05-24NoNo12026-06-03FalseFalsePro & Farm1,088,216$108,822$108,822$No---------------------------
Wesley GroulxPhantoms (VOO)C311997-11-12CANNo202 Lbs6 ft7NoNoTrade2026-01-01NoNo22025-09-28FalseFalsePro & Farm1,000,000$100,000$100,000$No1,000,000$--------1,000,000$--------No--------
Yann HammondPhantoms (VOO)LW222006-04-16CANYes210 Lbs6 ft1NoNoDraftNoNo22025-10-05FalseFalsePro & Farm1,000,000$100,000$100,000$No1,000,000$--------1,000,000$--------No--------
Zane HaddixPhantoms (VOO)D291999-08-18USANo213 Lbs6 ft0NoNoN/ANoNo12026-05-03FalseFalsePro & Farm1,362,160$136,216$136,216$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 SyromolotovDru PearkesRuuno Jortikka20122
4Igor KarsenevRuslan SarvarovMaksim Voronin14122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Igor ZheldakovOle Hansen38122
2Zane HaddixLeonid Pafov38122
3Christofer WidellJohnny Leclair24122
4Igor ZheldakovOle Hansen0122
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
2Ole HansenTakeji 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 ZheldakovOle Hansen50140
2Zane HaddixLeonid Pafov50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ruslan Sarvarov50140Igor ZheldakovOle Hansen50140
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 ZheldakovOle Hansen50122
2Zane HaddixLeonid Pafov50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ignaty SyromolotovRuslan SarvarovTani PahkamaaLeonid PafovOle Hansen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Igor KarsenevRuslan SarvarovMaksim VoroninZane HaddixOle Hansen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ruslan Sarvarov, Shiro Kaima, Igor KarsenevRuslan Sarvarov, Maksim VoroninRuslan Sarvarov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ole Hansen, Leonid Pafov, Igor ZheldakovOle HansenLeonid Pafov, Ole Hansen
Tirs de pénalité
Ignaty Syromolotov, Ole Hansen, Takeji Takata, Olaf Norlander, Ruslan Sarvarov
Gardien
#1 : Karel Sivak, #2 : Atley Hebert
Lignes d’attaque personnalisées en prolongation
Dru Pearkes, Olaf Norlander, 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, 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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%0
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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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 - 2026-06-145Devils-Phantoms-
3 - 2026-06-1624Spartans-Phantoms-
5 - 2026-06-1836Phantoms-Northmen-
6 - 2026-06-1948Wolfpack-Phantoms-
8 - 2026-06-2165Phantoms-Wolfpack-
10 - 2026-06-2376Guppies-Phantoms-
11 - 2026-06-2482Rampage-Phantoms-
13 - 2026-06-2699Outlaws-Phantoms-
15 - 2026-06-28107Phantoms-Devils-
17 - 2026-06-30129Guppies-Phantoms-
19 - 2026-07-02141Stingers-Phantoms-
20 - 2026-07-03156Phantoms-Wolverines-
22 - 2026-07-05164Wild Wings-Phantoms-
24 - 2026-07-07178Auroras-Phantoms-
26 - 2026-07-09191Phantoms-Guppies-
27 - 2026-07-10203Hornets-Phantoms-
29 - 2026-07-12212Phantoms-Devils-
30 - 2026-07-13224Bulldogs-Phantoms-
32 - 2026-07-15240Phantoms-Wolverines-
34 - 2026-07-17255Drillers-Phantoms-
36 - 2026-07-19262Phantoms-Crusaders-
37 - 2026-07-20280Phantoms-Yeti-
39 - 2026-07-22289Yeti-Phantoms-
41 - 2026-07-24303Phantoms-Hornets-
43 - 2026-07-26323Phantoms-Wild Wings-
45 - 2026-07-28336Phantoms-Vipers-
47 - 2026-07-30349Hornets-Phantoms-
48 - 2026-07-31361Phantoms-Spartans-
50 - 2026-08-02372Kings-Phantoms-
52 - 2026-08-04390Phantoms-Yeti-
54 - 2026-08-06400Outlaws-Phantoms-
55 - 2026-08-07407Phantoms-Guppies-
57 - 2026-08-09426Auroras-Phantoms-
58 - 2026-08-10433Schooners-Phantoms-
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-
106 - 2026-09-27784Phantoms-Stingers-
107 - 2026-09-28790Phantoms-Guppies-
109 - 2026-09-30805Phantoms-Outlaws-
111 - 2026-10-02822Northmen-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
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
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
40 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,349,925$ 3,349,925$ 1,250,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,349,925$ 0$ 30 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 147 31,292$ 4,599,924$




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 Pearkes34313015528523373761605114511.35%105580616.9320254556000225647.85%30.9801
2Ruslan Sarvarov28787108195-226626347375011.60%125483216.84213960632242710653.28%10.8112
3Andres Hisey22694731671624241331990510.39%76407518.03162440480008171049.65%20.8203
4Igor Karsenev3127178149-121253903777219.85%155493315.81111223331122411444.44%00.6022
5Igor Zheldakov31014128142-35195144655182.70%348629520.3141115200223220%00.4500

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 Hebert1606757190.9122.6788884339544732818840.63655
2Henrick Polley1044836130.8993.1958428231130661449720.50032
3Dominik Mireault108395490.9102.69598443268298017185100.76517
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
5803532043332802602040162000121139146-740191204212141114279028046574511659311511272485391694033257787689918611484832.43%1984577.27%6923184450.05%827165649.94%631126649.84%1744104117087041390686
Total Saison régulière40013417403026162011051171-6620074900107910559574-15200608402019710546597-51406110518102915161227638240169120473806405040762321223041504626945170818826.55%103023577.18%134169821550.75%3918772450.73%2855555951.36%840047588531368573473614
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