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Phantoms
GP: 43 | W: 19 | L: 21 | OTL: 3 | P: 41
GF: 118 | GA: 141 | PP%: 14.58% | PK%: 81.22%
DG: Steeve Lachance | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #719 vs Crunch

Centre de jeu
Marlies
26-17-1, 53pts
2
1 Phantoms
19-21-3, 41pts
Team Stats
L1SéquenceW1
17-9-0Fiche domicile11-10-2
9-8-1Fiche domicile8-11-1
8-2-0Derniers 10 matchs3-6-1
3.36Buts par match 2.74
2.98Buts contre par match 3.28
20.30%Pourcentage en avantage numérique14.58%
79.56%Pourcentage en désavantage numérique81.22%
Crunch
16-23-4, 36pts
3
4 Phantoms
19-21-3, 41pts
Team Stats
L3SéquenceW1
9-9-3Fiche domicile11-10-2
7-14-1Fiche domicile8-11-1
3-6-1Derniers 10 matchs3-6-1
2.81Buts par match 2.74
3.30Buts contre par match 3.28
16.79%Pourcentage en avantage numérique14.58%
84.05%Pourcentage en désavantage numérique81.22%
Crunch
16-23-4, 36pts
2026-01-12
Phantoms
19-21-3, 41pts
Statistiques d’équipe
L3SéquenceW1
9-9-3Fiche domicile11-10-2
7-14-1Fiche visiteur8-11-1
3-6-110 derniers matchs3-6-1
2.81Buts par match 2.74
3.30Buts contre par match 2.74
16.79%Pourcentage en avantage numérique14.58%
84.05%Pourcentage en désavantage numérique81.22%
Phantoms
19-21-3, 41pts
2026-01-14
Americans
23-15-5, 51pts
Statistiques d’équipe
W1SéquenceL1
11-10-2Fiche domicile13-5-3
8-11-1Fiche visiteur10-10-2
3-6-110 derniers matchs6-4-0
2.74Buts par match 3.60
3.28Buts contre par match 3.60
14.58%Pourcentage en avantage numérique24.38%
81.22%Pourcentage en désavantage numérique77.50%
Phantoms
19-21-3, 41pts
2026-01-15
Penguins
21-15-8, 50pts
Statistiques d’équipe
W1SéquenceSOL1
11-10-2Fiche domicile13-6-3
8-11-1Fiche visiteur8-9-5
3-6-110 derniers matchs4-2-4
2.74Buts par match 3.07
3.28Buts contre par match 3.07
14.58%Pourcentage en avantage numérique25.15%
81.22%Pourcentage en désavantage numérique75.69%
Meneurs d'équipe
Mikael PyyhtiaButs
Mikael Pyyhtia
19
Ilya SolovyovPasses
Ilya Solovyov
23
Mikael PyyhtiaPoints
Mikael Pyyhtia
41
Mikael PyyhtiaPlus/Moins
Mikael Pyyhtia
6
Nikke KokkoVictoires
Nikke Kokko
14
Nikke KokkoPourcentage d’arrêts
Nikke Kokko
0.901

Statistiques d’équipe
Buts pour
118
2.74 GFG
Tirs pour
1254
29.16 Avg
Pourcentage en avantage numérique
14.6%
21 GF
Début de zone offensive
40.2%
Buts contre
141
3.28 GAA
Tirs contre
1366
31.77 Avg
Pourcentage en désavantage numérique
81.2%%
34 GA
Début de la zone défensive
41.2%
Informations de l'équipe

Directeur généralSteeve Lachance
EntraîneurBarry Trotz
DivisionMetropolitan Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2James Hamblin


Informations de l’aréna

Capacité5,000
Assistance4,622
Billets de saison3,750


Informations de la formation

Équipe Pro25
Équipe Mineure22
Limite contact 47 / 70
Espoirs51


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
1Ethan CardwellX100.00663779656890866467636265616465040640242925,000$
2Mikael PyyhtiaXX100.006136956470808963656259726164660406402411,499,999$
3Dylan Roobroeck (R)X100.00885381599777735762566158606263040630223925,000$
4James Hamblin (A)XX100.00593690666782776467616260656768040630271925,000$
5Sasha PastujovX100.00633791627290766471656361656264040630232925,000$
6Stephen HallidayX100.00774080628682756173655762596365040630242925,000$
7Eduard Sale (R)X100.00663892647579696357605658616265040620213925,000$
8Aku RatyX100.00673784636879836258645557596566040620252925,000$
9Tristan Broz (R)X100.00663979627583706167606261646365040620233925,000$
10T.J. TynanX100.006038696460738562736657596373750406203411,000,000$
11Rhett GardnerXX100.00734268588577835771555659546971040610301925,000$
12Marcel MarcelX100.00865274589567725755565459576264040610222925,000$
13Nico MyatovicX100.00683892577770735456535558576163040590212925,000$
14Dylan McIlrathX100.00868260629776745930665865497375040650341925,000$
15Ethan Del MastroX100.00764179668884876530646063516266040650232925,000$
16Ilya SolovyovX100.007440816485828362306658685065670406502631,095,000$
17Jack St. IvanyX100.00764181638782836130625870496668040640272925,000$
18Hunter Brzustewicz (R)X100.00653694637283725930605862496163040620213925,000$
19Antti TuomistoX100.00764179618571825930605462456466040620252925,000$
Rayé
1Vsevolod Komarov (R)X100.00684367597775725830575262456163040590223925,000$
MOYENNE D’ÉQUIPE100.0071428162797978615361586256646604063
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
1Nico Daws100.0080848087797880797880796573040690252925,000$
2Nikke Kokko (R)100.0078777480777678777678776165040680223925,000$
Rayé
1Drew Commesso100.0077868277767577767577766369040670242925,000$
2William Rousseau (R)100.0069716776686769686769686267040630233925,000$
3Tristan Lennox (R)100.0059726882585759585759586369040570233925,000$
MOYENNE D’ÉQUIPE100.007378748072717372717372636904065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Barry Trotz75797378938753CAN6331,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Mikael PyyhtiaPhantoms (PHI)C/LW4319224166060801544712012.34%20101823.693692913300021801052.73%11000000.8003000223
2Ilya SolovyovPhantoms (PHI)D4382331-2160685770344511.43%7596722.493710391210001143210%000000.6400000200
3Ethan CardwellPhantoms (PHI)RW43151328224011156155361109.68%588520.5923530133000001040.68%5900100.6303000322
4James HamblinPhantoms (PHI)C/LW4342327580491379926924.04%8101323.561451813301121882050.67%148600000.5311000014
5Ethan Del MastroPhantoms (PHI)D4352126-3415105596621567.58%5294021.86358371200001124110%000000.5500010012
6Jack St. IvanyPhantoms (PHI)D4361622424045617015358.57%6883619.45033421191011144230%000000.5300000112
7Sasha PastujovPhantoms (PHI)RW4315722-7205701344410411.19%473617.1232522113000002246.15%5200000.6013000220
8Dylan RoobroeckPhantoms (PHI)C4381018-64801219868266311.76%686920.232351611200001054153.39%104700000.4111000311
9Rhett GardnerPhantoms (PHI)C/LW4341418-936070316720695.97%980118.6402211112000000052.24%6700000.4500000001
10Dylan McIlrathPhantoms (PHI)D335111636515953122121122.73%2550615.34101517000043000%000000.6300102110
11Eduard SalePhantoms (PHI)LW436713-48025668118537.41%264815.09000000000231056.76%3700000.4000000101
12Connor CliftonFlyersD2531013-1141582545114345.88%5460424.192352975000197100%000000.4300000003
13Aku RatyPhantoms (PHI)RW434812-716036458521554.71%261114.2200000000001053.66%4100000.3900000001
14Stephen HallidayPhantoms (PHI)C436612-734057696122489.84%551011.8700001000000357.04%54700000.4700000020
15Zach BogosianFlyersD2501111-102751824115120%3144117.650000000003000%000000.5000010000
16Antti TuomistoPhantoms (PHI)D12178010017141071110.00%1324820.7311253400011000%000000.6400000002
17Tristan BrozPhantoms (PHI)C18426-310016202482216.67%218710.4200001000030157.44%19500000.6401000000
18Jordan OesterleFlyersD6145-20011397711.11%914724.5300006000122000%000000.6800000000
19Hunter BrzustewiczPhantoms (PHI)D18134-18091785512.50%2730416.8900001000026000%000000.2600000000
20Vsevolod KomarovPhantoms (PHI)D1021328013351540.00%1018518.560000000006000%000000.3200000000
21Tyson KozakFlyersC31000000020020%1120.41000000000110061.54%130000000000000
22Marcel MarcelPhantoms (PHI)LW43000-11201334130%11383.22000000002920042.86%70000000000000
Statistiques d’équipe totales ou en moyenne737117219336-51444301016101012543909629.33%4291261517.122139602831236112121222181252.75%366100100.53312122151322
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
1Nikke KokkoPhantoms (PHI)32141620.9013.11183320959620010.83363211410
2Nico DawsPhantoms (PHI)155510.8963.2876800424020010.50061132010
Statistiques d’équipe totales ou en moyenne47192130.9003.162601201371364002124343420


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Aku RatyPhantoms (PHI)RW252001-07-05FINNo170 Lbs183 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Antti TuomistoPhantoms (PHI)D252001-01-20FINNo194 Lbs193 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Drew CommessoPhantoms (PHI)G242002-07-19USANo180 Lbs188 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Dylan McIlrathPhantoms (PHI)D341992-04-20CANNo240 Lbs196 CMNoNoFree AgentYesYes12025-07-13FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Dylan RoobroeckPhantoms (PHI)C222004-07-27CANYes207 Lbs201 CMNoNoDraftNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Eduard SalePhantoms (PHI)LW212005-03-10CZEYes174 Lbs188 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Ethan CardwellPhantoms (PHI)RW242002-08-30CANNo180 Lbs180 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Ethan Del MastroPhantoms (PHI)D232003-01-15CANNo210 Lbs193 CMNoNoAssign ManuallyNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Hunter BrzustewiczPhantoms (PHI)D212004-11-29USAYes190 Lbs183 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Ilya SolovyovPhantoms (PHI)D262000-07-20BLRNo208 Lbs191 CMNoNoFree AgentNoNo32025-07-05FalseFalsePro & Farm1,095,000$0$0$No1,095,000$1,095,000$-------1,095,000$1,095,000$-------NoNo-------Lien / Lien NHL
Jack St. IvanyPhantoms (PHI)D271999-07-22USANo205 Lbs193 CMNoNoAssign ManuallyNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
James HamblinPhantoms (PHI)C/LW271999-04-27CANNo185 Lbs178 CMNoNoAssign ManuallyNoNo12024-07-17FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Marcel MarcelPhantoms (PHI)LW222003-10-31CZENo242 Lbs193 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Mikael PyyhtiaPhantoms (PHI)C/LW242001-12-17FINNo176 Lbs183 CMNoNoTrade2025-01-05NoNo12024-07-17FalseFalsePro & Farm1,499,999$0$0$No---------------------------Lien / Lien NHL
Nico DawsPhantoms (PHI)G252000-12-22CANNo205 Lbs193 CMNoNoFree AgentNoNo22025-07-13FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Nico MyatovicPhantoms (PHI)LW212004-12-01CANNo182 Lbs188 CMNoNoAssign ManuallyNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Nikke KokkoPhantoms (PHI)G222004-03-14FINYes184 Lbs191 CMNoNoAssign ManuallyNoNo32025-06-02FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Rhett GardnerPhantoms (PHI)C/LW301996-02-28CANNo210 Lbs191 CMNoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Sasha PastujovPhantoms (PHI)RW232003-07-15USANo187 Lbs183 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Stephen HallidayPhantoms (PHI)C242002-07-02CANNo213 Lbs191 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
T.J. TynanPhantoms (PHI)C341992-02-25USANo160 Lbs173 CMNoNoTrade2024-12-05YesYes1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Tristan BrozPhantoms (PHI)C232002-10-10USAYes205 Lbs183 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Tristan LennoxPhantoms (PHI)G232002-10-21CANYes193 Lbs191 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Vsevolod KomarovPhantoms (PHI)D222004-01-11RUSYes182 Lbs188 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
William RousseauPhantoms (PHI)G232003-01-09CANYes193 Lbs185 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.60195 Lbs188 CM2.16957,800$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikael PyyhtiaJames HamblinEthan Cardwell40122
2Rhett GardnerDylan RoobroeckSasha Pastujov30122
3Eduard SaleTristan BrozAku Raty20122
4Marcel MarcelStephen HallidayEthan Cardwell10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Antti TuomistoHunter Brzustewicz40122
2Ethan Del MastroIlya Solovyov30122
3Jack St. IvanyDylan McIlrath20122
4Ilya SolovyovEthan Del Mastro10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikael PyyhtiaJames HamblinEthan Cardwell60005
2Rhett GardnerDylan RoobroeckSasha Pastujov40212
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack St. IvanyDylan McIlrath60104
2Ethan Del MastroIlya Solovyov40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1James HamblinMikael Pyyhtia60050
2Dylan RoobroeckMarcel Marcel40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack St. IvanyDylan McIlrath60050
2Ethan Del MastroIlya Solovyov40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1James Hamblin60122Jack St. IvanyDylan McIlrath60122
2Dylan Roobroeck40122Ethan Del MastroIlya Solovyov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tristan BrozMikael Pyyhtia60122
2Dylan RoobroeckRhett Gardner40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan McIlrathJack St. Ivany60122
2Ethan Del MastroIlya Solovyov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael PyyhtiaJames HamblinEthan CardwellIlya SolovyovEthan Del Mastro
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael PyyhtiaJames HamblinEthan CardwellIlya SolovyovEthan Del Mastro
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan Roobroeck, Stephen Halliday, Aku RatyTristan Broz, Stephen HallidayDylan Roobroeck
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ilya Solovyov, Jack St. Ivany, Dylan McIlrathIlya SolovyovIlya Solovyov, Jack St. Ivany
Tirs de pénalité
Ethan Cardwell, Mikael Pyyhtia, Sasha Pastujov, James Hamblin, Dylan Roobroeck
Gardien
#1 : Nikke Kokko, #2 : Nico Daws


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Admirals22000000844110000003211100000052341.0008152300413537756440414388246520163410440.00%80100.00%0763145652.40%793149353.11%37567655.47%1068736981314554282
2Americans201000106601010000023-11000001043120.500610160041353775544041438824451520423133.33%9277.78%0763145652.40%793149353.11%37567655.47%1068736981314554282
3Barracuda1010000035-21010000035-20000000000000.00035810413537739440414388243091024300.00%4325.00%0763145652.40%793149353.11%37567655.47%1068736981314554282
4Canucks2020000028-61010000025-31010000003-300.000246004135377624404143882455172252900.00%11281.82%0763145652.40%793149353.11%37567655.47%1068736981314554282
5Checkers321000001112-11010000037-42200000085340.6671120310041353771154404143882499222285100.00%10370.00%0763145652.40%793149353.11%37567655.47%1068736981314554282
6Comets21100000541110000004131010000013-220.50059140041353774544041438824662523515120.00%7185.71%0763145652.40%793149353.11%37567655.47%1068736981314554282
7Condors2010000136-31000000123-11010000013-210.250369004135377704404143882466222746800.00%70100.00%0763145652.40%793149353.11%37567655.47%1068736981314554282
8Crunch2110000049-5110000004311010000006-620.50048120041353777244041438824531117559222.22%5180.00%0763145652.40%793149353.11%37567655.47%1068736981314554282
9Eagles1010000035-21010000035-20000000000000.0003580041353772544041438824421716225120.00%8187.50%0763145652.40%793149353.11%37567655.47%1068736981314554282
10Firebirds2010100048-4100010003211010000016-520.50048120041353777044041438824652045286116.67%15566.67%0763145652.40%793149353.11%37567655.47%1068736981314554282
11Gulls1010000045-11010000045-10000000000000.00048120041353772344041438824361610165240.00%5180.00%0763145652.40%793149353.11%37567655.47%1068736981314554282
12Heat2010100078-1100010004311010000035-220.500714211041353775244041438824662316475120.00%7271.43%0763145652.40%793149353.11%37567655.47%1068736981314554282
13IceHogs11000000541000000000001100000054121.0005914004135377284404143882433121222400.00%6183.33%0763145652.40%793149353.11%37567655.47%1068736981314554282
14Marlies2010010035-22010010035-20000000000010.2503580041353776344041438824521214699111.11%70100.00%0763145652.40%793149353.11%37567655.47%1068736981314554282
15Moose11000000312110000003120000000000021.000358004135377344404143882426121022200.00%50100.00%0763145652.40%793149353.11%37567655.47%1068736981314554282
16Penguins2010100056-12010100056-10000000000020.5005914004135377564404143882455261649300.00%7271.43%0763145652.40%793149353.11%37567655.47%1068736981314554282
17Rocket2020000048-4000000000002020000048-400.00048120041353774544041438824522110531100.00%50100.00%0763145652.40%793149353.11%37567655.47%1068736981314554282
18Senators2010100057-2100010002111010000036-320.5005914004135377624404143882453111654900.00%6266.67%0763145652.40%793149353.11%37567655.47%1068736981314554282
19Silver Knights11000000422110000004220000000000021.00048120041353773544041438824196821500.00%30100.00%0763145652.40%793149353.11%37567655.47%1068736981314554282
20Sound Tigers22000000743110000004221100000032141.000714210041353775044041438824852122405240.00%9188.89%0763145652.40%793149353.11%37567655.47%1068736981314554282
21Stars1010000026-4000000000001010000026-400.0002460041353772244041438824521020204250.00%9366.67%0763145652.40%793149353.11%37567655.47%1068736981314554282
22Thunderbirds211000006511010000023-11100000042220.500611170041353775744041438824672912449111.11%5260.00%1763145652.40%793149353.11%37567655.47%1068736981314554282
23Wild1010000013-21010000013-20000000000000.00012300413537726440414388242915624000%30100.00%0763145652.40%793149353.11%37567655.47%1068736981314554282
24Wolf Pack11000000514000000000001100000051421.000591400413537731440414388243571421200.00%10100.00%0763145652.40%793149353.11%37567655.47%1068736981314554282
25Wolves3110000189-1110000004312010000146-230.50081422004135377614404143882412030427512216.67%19289.47%0763145652.40%793149353.11%37567655.47%1068736981314554282
Total43142104112118141-2323710041016570-520711000115371-18410.477118219337204135377125444041438824136642944610161442114.58%1813481.22%1763145652.40%793149353.11%37567655.47%1068736981314554282
_Since Last GM Reset43142104112118141-2323710041016570-520711000115371-18410.477118219337204135377125444041438824136642944610161442114.58%1813481.22%1763145652.40%793149353.11%37567655.47%1068736981314554282
_Vs Conference23810021116371-8114402100313101246000113240-8240.522631151780041353776554404143882471520121659469913.04%851483.53%0763145652.40%793149353.11%37567655.47%1068736981314554282
_Vs Division1053010013024653101000171255220000113121130.6503055850041353772434404143882436110911723627518.52%43686.05%0763145652.40%793149353.11%37567655.47%1068736981314554282

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4341W111821933712541366429446101620
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4314214112118141
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2371041016570
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2071100115371
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1442114.58%1813481.22%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
440414388244135377
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
763145652.40%793149353.11%37567655.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1068736981314554282


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
3 - 2025-10-0912Phantoms4Checkers3WSommaire du match
5 - 2025-10-1130Phantoms3Wolves4LXXSommaire du match
7 - 2025-10-1344Checkers7Phantoms3LSommaire du match
10 - 2025-10-1666Moose1Phantoms3WSommaire du match
12 - 2025-10-1881Wild3Phantoms1LSommaire du match
14 - 2025-10-2094Firebirds2Phantoms3WXSommaire du match
17 - 2025-10-23112Phantoms3Senators6LSommaire du match
19 - 2025-10-25127Sound Tigers2Phantoms4WSommaire du match
22 - 2025-10-28150Penguins4Phantoms2LSommaire du match
24 - 2025-10-30170Admirals2Phantoms3WSommaire du match
26 - 2025-11-01188Marlies3Phantoms2LSommaire du match
27 - 2025-11-02196Heat3Phantoms4WXSommaire du match
29 - 2025-11-04204Phantoms3Rocket5LSommaire du match
31 - 2025-11-06223Phantoms5Admirals2WSommaire du match
33 - 2025-11-08232Senators1Phantoms2WXSommaire du match
37 - 2025-11-12266Condors3Phantoms2LXXSommaire du match
39 - 2025-11-14280Phantoms4Thunderbirds2WSommaire du match
40 - 2025-11-15293Phantoms2Stars6LSommaire du match
45 - 2025-11-20324Thunderbirds3Phantoms2LSommaire du match
47 - 2025-11-22339Comets1Phantoms4WSommaire du match
49 - 2025-11-24353Phantoms0Crunch6LSommaire du match
51 - 2025-11-26363Phantoms4Checkers2WSommaire du match
53 - 2025-11-28381Phantoms3Sound Tigers2WSommaire du match
54 - 2025-11-29395Phantoms1Comets3LSommaire du match
56 - 2025-12-01407Penguins2Phantoms3WXSommaire du match
58 - 2025-12-03423Americans3Phantoms2LSommaire du match
62 - 2025-12-07453Eagles5Phantoms3LSommaire du match
64 - 2025-12-09469Barracuda5Phantoms3LSommaire du match
66 - 2025-12-11483Silver Knights2Phantoms4WSommaire du match
68 - 2025-12-13501Wolves3Phantoms4WSommaire du match
69 - 2025-12-14510Phantoms1Wolves2LSommaire du match
71 - 2025-12-16521Phantoms1Rocket3LSommaire du match
73 - 2025-12-18535Phantoms4Americans3WXXSommaire du match
75 - 2025-12-20549Phantoms5Wolf Pack1WSommaire du match
77 - 2025-12-22572Canucks5Phantoms2LSommaire du match
78 - 2025-12-23583Phantoms5IceHogs4WSommaire du match
83 - 2025-12-28605Phantoms1Firebirds6LSommaire du match
85 - 2025-12-30621Phantoms0Canucks3LSommaire du match
86 - 2025-12-31630Phantoms3Heat5LSommaire du match
89 - 2026-01-03647Phantoms1Condors3LSommaire du match
92 - 2026-01-06670Gulls5Phantoms4LSommaire du match
94 - 2026-01-08686Marlies2Phantoms1LXSommaire du match
96 - 2026-01-10705Crunch3Phantoms4WSommaire du match
98 - 2026-01-12719Crunch-Phantoms-
100 - 2026-01-14736Phantoms-Americans-
101 - 2026-01-15741Phantoms-Penguins-
103 - 2026-01-17755Wolf Pack-Phantoms-
105 - 2026-01-19775Phantoms-Silver Knights-
107 - 2026-01-21790Phantoms-Roadrunners-
109 - 2026-01-23805Phantoms-Eagles-
112 - 2026-01-26827Sound Tigers-Phantoms-
114 - 2026-01-28840Phantoms-Monsters-
115 - 2026-01-29843Phantoms-Bruins-
117 - 2026-01-31859Reign-Phantoms-
120 - 2026-02-03889Bears-Phantoms-
122 - 2026-02-05907Senators-Phantoms-
142 - 2026-02-25911Phantoms-Bears-
143 - 2026-02-26924Phantoms-Wolf Pack-
145 - 2026-02-28935Bruins-Phantoms-
147 - 2026-03-02954Phantoms-Marlies-
150 - 2026-03-05976Roadrunners-Phantoms-
152 - 2026-03-07993Phantoms-Penguins-
154 - 2026-03-091008Wolf Pack-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
156 - 2026-03-111026Bears-Phantoms-
157 - 2026-03-121035Phantoms-Wild-
159 - 2026-03-141052Monsters-Phantoms-
163 - 2026-03-181082Phantoms-Gulls-
164 - 2026-03-191093Phantoms-Reign-
166 - 2026-03-211103Phantoms-Barracuda-
169 - 2026-03-241125Monsters-Phantoms-
171 - 2026-03-261142IceHogs-Phantoms-
173 - 2026-03-281163Phantoms-Griffins-
174 - 2026-03-291172Stars-Phantoms-
176 - 2026-03-311184Phantoms-Bears-
178 - 2026-04-021196Griffins-Phantoms-
179 - 2026-04-031205Phantoms-Sound Tigers-
181 - 2026-04-051224Bruins-Phantoms-
183 - 2026-04-071236Phantoms-Comets-
185 - 2026-04-091250Phantoms-Griffins-
187 - 2026-04-111272Phantoms-Moose-
189 - 2026-04-131284Wolves-Phantoms-
190 - 2026-04-141294Rocket-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance64,32941,985
Assistance PCT93.23%91.27%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
18 4622 - 92.45% 142,064$3,267,480$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,754,938$ 2,394,500$ 2,394,500$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,252,322$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,557,158$ 96 17,588$ 1,688,448$




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

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

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

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

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