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Phantoms
GP: 56 | W: 34 | L: 18 | OTL: 4 | P: 72
GF: 209 | GA: 184 | PP%: 18.18% | PK%: 79.31%
DG: Steeve Lachance | Morale : 40 | Moyenne d’équipe : 63
Prochains matchs #911 vs Bears

Centre de jeu
Bears
30-24-5, 65pts
3
2 Phantoms
34-18-4, 72pts
Team Stats
W2SéquenceW1
15-13-2Fiche domicile20-8-1
15-11-3Fiche domicile14-10-3
7-3-0Derniers 10 matchs6-3-1
3.37Buts par match 3.73
3.34Buts contre par match 3.29
23.72%Pourcentage en avantage numérique18.18%
77.36%Pourcentage en désavantage numérique79.31%
Belleville Senators
21-23-13, 55pts
0
5 Phantoms
34-18-4, 72pts
Team Stats
L1SéquenceW1
10-11-7Fiche domicile20-8-1
11-12-6Fiche domicile14-10-3
2-6-2Derniers 10 matchs6-3-1
3.12Buts par match 3.73
3.40Buts contre par match 3.29
21.03%Pourcentage en avantage numérique18.18%
79.05%Pourcentage en désavantage numérique79.31%
Phantoms
34-18-4, 72pts
2026-02-25
Bears
30-24-5, 65pts
Statistiques d’équipe
W1SéquenceW2
20-8-1Fiche domicile15-13-2
14-10-3Fiche visiteur15-11-3
6-3-110 derniers matchs7-3-0
3.73Buts par match 3.37
3.29Buts contre par match 3.37
18.18%Pourcentage en avantage numérique23.72%
79.31%Pourcentage en désavantage numérique77.36%
Phantoms
34-18-4, 72pts
2026-02-26
Wolf Pack
28-21-8, 64pts
Statistiques d’équipe
W1SéquenceL3
20-8-1Fiche domicile12-9-4
14-10-3Fiche visiteur16-12-4
6-3-110 derniers matchs2-6-2
3.73Buts par match 3.37
3.29Buts contre par match 3.37
18.18%Pourcentage en avantage numérique23.04%
79.31%Pourcentage en désavantage numérique82.81%
Bruins
23-27-7, 53pts
2026-02-28
Phantoms
34-18-4, 72pts
Statistiques d’équipe
W1SéquenceW1
12-16-2Fiche domicile20-8-1
11-11-5Fiche visiteur14-10-3
4-4-210 derniers matchs6-3-1
3.18Buts par match 3.73
3.58Buts contre par match 3.73
21.95%Pourcentage en avantage numérique18.18%
79.70%Pourcentage en désavantage numérique79.31%
Meneurs d'équipe
Tyson FoersterButs
Tyson Foerster
39
Hendrix LapierrePasses
Hendrix Lapierre
45
Tyson FoersterPoints
Tyson Foerster
76
Tyson FoersterPlus/Moins
Tyson Foerster
25
Sebastian CossaVictoires
Sebastian Cossa
24
Sebastian CossaPourcentage d’arrêts
Sebastian Cossa
0.904

Statistiques d’équipe
Buts pour
209
3.73 GFG
Tirs pour
2032
36.29 Avg
Pourcentage en avantage numérique
18.2%
40 GF
Début de zone offensive
43.0%
Buts contre
184
3.29 GAA
Tirs contre
1761
31.45 Avg
Pourcentage en désavantage numérique
79.3%%
42 GA
Début de la zone défensive
38.7%
Informations de l'équipe

Directeur généralSteeve Lachance
EntraîneurIan Laperriere
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,807
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 250
Espoirs38


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
1Tyson Foerster0X100.00714084778388907452677568766366040700241925,000$
2Adam Klapka0X100.00885766649984856365606667646667040660251925,000$
3Hendrix Lapierre0X100.00633793727080856776716163686465040660241925,000$
4Sam Poulin0X100.00754078628682806465616263676466040640251925,000$
5Samuel Helenius0X100.00824874659373866271616064586365040640231925,000$
6Mikael Pyyhtia0X100.00613695647080896365625972616466040640242925,000$
7Antonio Stranges0X100.00573789656691806364626164666365040630241925,000$
8Eduard Sale (R)0X100.00663892647579696357605658616265040620213925,000$
9Samu Tuomaala0X100.00563789626782816166645957616264040620232925,000$
10Anton Wahlberg (R)0X100.00733994598276735867605759566062040610213925,000$
11Jackson Cates0X100.00633891567280845562545753566870040600281925,000$
12Tucker Robertson0X100.00613788587069745760555653546264040590232925,000$
13Henry Thrun0X100.00714286698288846630686467526466040660252925,000$
14Emil Andrae0X100.00643875656784856430666262516365040640241925,000$
15Maxwell Crozier0X100.00724370638381826230646260516567040630262925,000$
16Artem Grushnikov0X100.00695284567863835430535659456264040600232925,000$
17Carson Lambos0X100.00684075577767865630555858466264040600232925,000$
18Ethan Samson0X100.00643977587372855730565954466264040600232925,000$
Rayé
1Elliot Desnoyers0X100.00603887596978835855575456586365040600241925,000$
2Jayden Grubbe0X100.00754176548475835261555357546264040590232925,000$
3Jon-Randall Avon0X100.00603692576978835461555653556264040590232925,000$
4Gavin Hain0X100.00573985547174735360525551546567040580262925,000$
5Hunter McDonald0X100.00784565558764755430575659466365040600242925,000$
MOYENNE D’ÉQUIPE100.0068418362777882605360596057636504062
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
1Sebastian Cossa0100.0077878398767577767577766369040670231925,000$
2Matt Villalta0100.0077908681767577767577766675040670272925,000$
Rayé
1Ales Stezka0100.0075817684747375747375746881040660291930,000$
MOYENNE D’ÉQUIPE100.007686828875747675747675667504067
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ian Laperriere75686661797474CAN512300,000$


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
1Tyson FoersterPhantoms (PHI)RW56393776254951211553639422410.74%16124322.2168148319400041119346.02%11300121.2202001772
2Hendrix LapierrePhantoms (PHI)C5623456822100462001954714511.79%14133123.77412163819301122033355.25%201800001.0201000464
3Sam PoulinPhantoms (PHI)LW5421325311340110731685715012.50%6104219.316713411730112793257.33%7500001.0202000325
4Henry ThrunPhantoms (PHI)D561635512347510083133436212.03%100140725.144812672010000166400%000100.7200001543
5Emil AndraePhantoms (PHI)D54639452128095697032588.57%66136225.243912401940110167010%000000.6600000023
6Sam ColangeloFlyersRW42192241168034771514711712.58%765815.671341863000003052.08%4800001.2500000222
7Mikael PyyhtiaPhantoms (PHI)LW56151934-11201986153611259.80%1582714.77268191371011570056.41%11700100.8201000100
8Maxwell CrozierPhantoms (PHI)D5692231-25801235684295510.71%66115520.64459451700002117200%000000.5400000002
9Samuel HeleniusPhantoms (PHI)C45916257195876880266511.25%751911.5423514560000222152.11%64100000.9600010214
10Anton WahlbergPhantoms (PHI)C5661622-416050936321539.52%1071212.72000190001461050.26%75800000.6202000221
11Artem GrushnikovPhantoms (PHI)D568142203410713542134019.05%78117220.94527231680000145100%000000.3800110000
12Carson LambosPhantoms (PHI)D5631821936091283322159.09%5783114.85000520000064200%000000.5000000111
13Antonio StrangesPhantoms (PHI)C5611920-120169311529769.57%1062111.1000000000002148.41%72500000.6400000110
14Eduard SalePhantoms (PHI)LW5671219722068418627868.14%988815.87235181220001501145.16%6200000.4300000011
15Adam KlapkaPhantoms (PHI)RW44412161335113327826655.13%843910.00000010000111066.67%3300100.7300001100
16Samu TuomaalaPhantoms (PHI)RW5641216-1440124710228733.92%361410.9716724127000040148.80%33400000.5200000001
17Nathan WalkerFlyersLW19771418200612660193911.67%844723.570009561014730050.00%4600000.6300000012
18Ethan SamsonPhantoms (PHI)D5608852006026237200%4276913.7400013000019000%000000.2100000001
19Elliot DesnoyersPhantoms (PHI)LW35224-3607820111510.00%21855.2900003000000025.00%800000.4300000001
20Jackson CatesPhantoms (PHI)C14011-440181412480%019413.86000000000110045.45%3300000.1000000000
21Hunter McDonaldPhantoms (PHI)D12000-1001100100%3342.840000000002000%00000000000000
22Tucker RobertsonPhantoms (PHI)C14000000001110%060.4300000000000042.86%70000000000000
Statistiques d’équipe totales ou en moyenne100520937858713546230131313102032645149210.29%5271646616.3840721124461898235171354341352.27%501800420.7108123293033
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
1Sebastian CossaPhantoms (PHI)4024830.9042.9421666110611010120.75083521211
2Matt VillaltaPhantoms (PHI)24101010.8893.6112126173657001002135100
3Leevi MerilainenFlyers114410.8863.2655201302640000099100
Statistiques d’équipe totales ou en moyenne75382250.8973.193932123209202201386565411


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
Adam KlapkaPhantoms (PHI)RW252000-09-14CZENo235 Lbs6 ft8NoNoTrade2024-09-30NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Ales StezkaPhantoms (PHI)G291997-01-06CZENo190 Lbs6 ft4NoNoFree AgentYesYes12025-07-13FalseFalsePro & Farm930,000$0$0$No---------------------------Lien / Lien NHL
Anton WahlbergPhantoms (PHI)C212005-07-04SWEYes194 Lbs6 ft3NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Antonio StrangesPhantoms (PHI)C242002-02-05USANo168 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Artem GrushnikovPhantoms (PHI)D232003-03-20RUSNo203 Lbs6 ft1NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Carson LambosPhantoms (PHI)D232003-01-14CANNo197 Lbs6 ft1NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Eduard SalePhantoms (PHI)LW212005-03-10CZEYes174 Lbs6 ft2NoNoProspectNoNo32025-06-19FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Elliot DesnoyersPhantoms (PHI)LW242002-01-21CANNo183 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Emil AndraePhantoms (PHI)D242002-02-23SWENo189 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Ethan SamsonPhantoms (PHI)D232003-08-23CANNo180 Lbs6 ft1NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Gavin HainPhantoms (PHI)C262000-04-03USANo194 Lbs5 ft11NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Hendrix LapierrePhantoms (PHI)C242002-02-09CANNo180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Henry ThrunPhantoms (PHI)D252001-03-12USANo210 Lbs6 ft2NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Hunter McDonaldPhantoms (PHI)D242002-05-11USANo205 Lbs6 ft4NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jackson CatesPhantoms (PHI)C281997-09-26USANo190 Lbs6 ft0NoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Jayden GrubbePhantoms (PHI)C232003-01-12CANNo201 Lbs6 ft3NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jon-Randall AvonPhantoms (PHI)C232003-07-04CANNo175 Lbs6 ft0NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Matt VillaltaPhantoms (PHI)G271999-06-03CANNo190 Lbs6 ft3NoNoTrade2025-07-17YesYes22024-07-06FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Maxwell CrozierPhantoms (PHI)D262000-04-19CANNo198 Lbs6 ft3NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Mikael PyyhtiaPhantoms (PHI)LW242001-12-17FINNo176 Lbs6 ft0NoNoTrade2025-01-09NoNo22024-06-07FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Sam PoulinPhantoms (PHI)LW252001-02-25CANNo227 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Samu TuomaalaPhantoms (PHI)RW232003-01-08FINNo174 Lbs5 ft11NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Samuel HeleniusPhantoms (PHI)C232002-11-26FINNo201 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Sebastian CossaPhantoms (PHI)G232002-11-21CANNo229 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Tucker RobertsonPhantoms (PHI)C232003-06-22CANNo188 Lbs5 ft11NoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Tyson FoersterPhantoms (PHI)RW242002-01-18CANNo215 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2624.15195 Lbs6 ft21.65925,192$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eduard SaleHendrix LapierreTyson Foerster40122
2Sam PoulinAnton WahlbergSamu Tuomaala30023
3Mikael PyyhtiaAntonio StrangesJackson Cates20122
4Samuel HeleniusTucker RobertsonSamu Tuomaala10221
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunEmil Andrae39122
2Maxwell CrozierArtem Grushnikov35122
3Carson LambosEthan Samson18122
4Henry ThrunEmil Andrae8122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikael PyyhtiaHendrix LapierreTyson Foerster60122
2Sam PoulinSamu TuomaalaEduard Sale40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunEmil Andrae60122
2Maxwell CrozierArtem Grushnikov40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jackson CatesAdam Klapka60050
2Mikael PyyhtiaSam Poulin40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunEmil Andrae60050
2Maxwell CrozierArtem Grushnikov40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Hendrix Lapierre60122Henry ThrunEmil Andrae60122
2Sam Poulin40122Maxwell CrozierArtem Grushnikov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Samuel HeleniusTyson Foerster60122
2Mikael PyyhtiaSam Poulin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunEmil Andrae60122
2Maxwell CrozierArtem Grushnikov40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael PyyhtiaHendrix LapierreTyson FoersterHenry ThrunEmil Andrae
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael PyyhtiaHendrix LapierreTyson FoersterHenry ThrunEmil Andrae
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Hendrix Lapierre, Sam Poulin, Mikael PyyhtiaHendrix Lapierre, Sam PoulinHendrix Lapierre
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Artem Grushnikov, Carson Lambos, Ethan SamsonArtem GrushnikovArtem Grushnikov, Carson Lambos
Tirs de pénalité
Tyson Foerster, Sam Poulin, Anton Wahlberg, Mikael Pyyhtia, Hendrix Lapierre
Gardien
#1 : Sebastian Cossa, #2 : Matt Villalta
Lignes d’attaque personnalisées en prolongation
Tyson Foerster, Anton Wahlberg, Eduard Sale, Jackson Cates, Hendrix Lapierre, Sam Poulin, Mikael Pyyhtia, Adam Klapka, Antonio Stranges, Samu Tuomaala
Lignes de défense personnalisées en prolongation
Henry Thrun, Emil Andrae, Maxwell Crozier, Artem Grushnikov, Carson Lambos


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
1Abbotsford Canucks2110000069-3110000004221010000027-520.50061117007070645946606796752665216409111.11%3166.67%01110214351.80%1042192954.02%47191451.53%13829641276412721362
2Admirals211000001183110000007251010000046-220.5001119300070706458966067967526692014527342.86%7271.43%11110214351.80%1042192954.02%47191451.53%13829641276412721362
3Bears1010000023-11010000023-10000000000000.0002460070706453466067967526349103010220.00%5180.00%01110214351.80%1042192954.02%47191451.53%13829641276412721362
4Belleville Senators3200100014592100100010461100000041361.00014264001707064591660679675269728297013430.77%10280.00%01110214351.80%1042192954.02%47191451.53%13829641276412721362
5Bridgeport Islanders32000100181442100010011921100000075250.833183351007070645122660679675269929227010330.00%10370.00%01110214351.80%1042192954.02%47191451.53%13829641276412721362
6Bruins11000000633000000000001100000063321.00061218007070645366606796752626613285360.00%4175.00%01110214351.80%1042192954.02%47191451.53%13829641276412721362
7Calgary Wranglers20002000752100010003211000100043141.00071320007070645846606796752663251644700.00%8187.50%01110214351.80%1042192954.02%47191451.53%13829641276412721362
8Charlotte Checkers321000001192110000007522110000044040.66711193000707064511266067967526752418771100.00%7357.14%01110214351.80%1042192954.02%47191451.53%13829641276412721362
9Chicago Wolves3300000015871100000053222000000105561.000152742007070645114660679675267918186819315.79%9366.67%01110214351.80%1042192954.02%47191451.53%13829641276412721362
10Cleveland Monsters1000000123-1000000000001000000123-110.50022400707064544660679675263813423300.00%10100.00%01110214351.80%1042192954.02%47191451.53%13829641276412721362
11Coachella Valley Firebirds2110000067-1110000004311010000024-220.500612180070706456166067967526542418435120.00%9188.89%01110214351.80%1042192954.02%47191451.53%13829641276412721362
12Colorado Eagles2110000078-11010000035-21100000043120.50071320107070645736606796752659234608112.50%20100.00%01110214351.80%1042192954.02%47191451.53%13829641276412721362
13Condors220000001248110000006241100000062441.0001223350070706458666067967526701920504250.00%70100.00%01110214351.80%1042192954.02%47191451.53%13829641276412721362
14Henderson Silver Knights22000000835110000003121100000052341.0008142200707064584660679675266313233915533.33%6183.33%01110214351.80%1042192954.02%47191451.53%13829641276412721362
15IceHogs10001000431000000000001000100043121.0004610007070645306606796752636101725000%6266.67%01110214351.80%1042192954.02%47191451.53%13829641276412721362
16Iowa Wild11000000523110000005230000000000021.00059140070706454966067967526259832400.00%30100.00%01110214351.80%1042192954.02%47191451.53%13829641276412721362
17Laval Rocket20200000610-40000000000020200000610-400.00069151070706457066067967526712720426116.67%9544.44%01110214351.80%1042192954.02%47191451.53%13829641276412721362
18Moose11000000312110000003120000000000021.00035800707064539660679675262520215120.00%000%01110214351.80%1042192954.02%47191451.53%13829641276412721362
19Ontario Reign1010000013-21010000013-20000000000000.00012300707064531660679675262051018100.00%40100.00%01110214351.80%1042192954.02%47191451.53%13829641276412721362
20Rochester Americans310001011011-1110000003212000010179-240.6671019290070706451136606796752610339268010110.00%13284.62%01110214351.80%1042192954.02%47191451.53%13829641276412721362
21San Diego Gulls1010000036-31010000036-30000000000000.0003690070706452366067967526441520242150.00%8362.50%01110214351.80%1042192954.02%47191451.53%13829641276412721362
22San Jose Barracuda11000000422110000004220000000000021.0004711007070645276606796752631141019400.00%50100.00%01110214351.80%1042192954.02%47191451.53%13829641276412721362
23Syracruse Crunch321000001073211000007701100000030340.667101727017070645113660679675267118186113323.08%80100.00%11110214351.80%1042192954.02%47191451.53%13829641276412721362
24Texas Stars1010000024-2000000000001010000024-200.00024600707064532660679675261931518500.00%5260.00%01110214351.80%1042192954.02%47191451.53%13829641276412721362
25Thunderbirds2010100056-1100010004311010000013-220.50051015107070645546606796752671151855700.00%9188.89%01110214351.80%1042192954.02%47191451.53%13829641276412721362
26Toronto Marlies2110000069-32110000069-30000000000020.500611170070706458666067967526771618421100.00%9188.89%01110214351.80%1042192954.02%47191451.53%13829641276412721362
27Tucson Roadrunners1010000007-7000000000001010000007-700.000000007070645156606796752648141623200.00%8362.50%01110214351.80%1042192954.02%47191451.53%13829641276412721362
28Utica Comets2110000035-21010000003-31100000032120.500369007070645676606796752660141036400.00%50100.00%01110214351.80%1042192954.02%47191451.53%13829641276412721362
29Wilkes-Barre Penguins3210000012102211000008801100000042240.6671220320070706458566067967526913522715120.00%100100.00%01110214351.80%1042192954.02%47191451.53%13829641276412721362
30Wolf Pack211000001091110000007251010000037-420.50010192900707064574660679675267819315215426.67%13469.23%01110214351.80%1042192954.02%47191451.53%13829641276412721362
Total562918052022091842529178031001168927271210021029395-2720.643209378587327070645203266067967526176152747413132204018.18%2034279.31%21110214351.80%1042192954.02%47191451.53%13829641276412721362
_Since Last GM Reset562918052022091842529178031001168927271210021029395-2720.643209378587327070645203266067967526176152747413132204018.18%2034279.31%21110214351.80%1042192954.02%47191451.53%13829641276412721362
_Vs Conference32189012021251061916950110066551116940010259518420.6561252243491270706451161660679675269992952597501352518.52%1132577.88%11110214351.80%1042192954.02%47191451.53%13829641276412721362
_Vs Division15940010162521084300100332857510000129245200.6676211117300707064554066067967526479137117350661319.70%531179.25%01110214351.80%1042192954.02%47191451.53%13829641276412721362

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5672W120937858720321761527474131332
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5629185202209184
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
29178310011689
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
27121021029395
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2204018.18%2034279.31%2
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
660679675267070645
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
1110214351.80%1042192954.02%47191451.53%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13829641276412721362


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 - 2025-10-0912Phantoms4Charlotte Checkers2WSommaire du match
5 - 2025-10-1130Phantoms5Chicago Wolves3WSommaire du match
7 - 2025-10-1344Charlotte Checkers5Phantoms7WSommaire du match
10 - 2025-10-1666Moose1Phantoms3WSommaire du match
12 - 2025-10-1881Iowa Wild2Phantoms5WSommaire du match
14 - 2025-10-2094Coachella Valley Firebirds3Phantoms4WSommaire du match
17 - 2025-10-23112Phantoms4Belleville Senators1WSommaire du match
19 - 2025-10-25127Bridgeport Islanders6Phantoms5LXSommaire du match
22 - 2025-10-28150Wilkes-Barre Penguins5Phantoms3LSommaire du match
24 - 2025-10-30170Admirals2Phantoms7WSommaire du match
26 - 2025-11-01188Toronto Marlies3Phantoms4WSommaire du match
27 - 2025-11-02196Calgary Wranglers2Phantoms3WXSommaire du match
29 - 2025-11-04204Phantoms4Laval Rocket6LSommaire du match
31 - 2025-11-06223Phantoms4Admirals6LSommaire du match
33 - 2025-11-08232Belleville Senators4Phantoms5WXSommaire du match
37 - 2025-11-12266Condors2Phantoms6WSommaire du match
39 - 2025-11-14280Phantoms1Thunderbirds3LSommaire du match
40 - 2025-11-15293Phantoms2Texas Stars4LSommaire du match
45 - 2025-11-20324Thunderbirds3Phantoms4WXSommaire du match
47 - 2025-11-22339Utica Comets3Phantoms0LSommaire du match
49 - 2025-11-24353Phantoms3Syracruse Crunch0WSommaire du match
51 - 2025-11-26363Phantoms0Charlotte Checkers2LSommaire du match
53 - 2025-11-28381Phantoms7Bridgeport Islanders5WSommaire du match
54 - 2025-11-29395Phantoms3Utica Comets2WSommaire du match
56 - 2025-12-01407Wilkes-Barre Penguins3Phantoms5WSommaire du match
58 - 2025-12-03423Rochester Americans2Phantoms3WSommaire du match
62 - 2025-12-07453Colorado Eagles5Phantoms3LSommaire du match
64 - 2025-12-09469San Jose Barracuda2Phantoms4WSommaire du match
66 - 2025-12-11483Henderson Silver Knights1Phantoms3WSommaire du match
68 - 2025-12-13501Chicago Wolves3Phantoms5WSommaire du match
69 - 2025-12-14510Phantoms5Chicago Wolves2WSommaire du match
71 - 2025-12-16521Phantoms2Laval Rocket4LSommaire du match
73 - 2025-12-18535Phantoms4Rochester Americans5LXXSommaire du match
75 - 2025-12-20549Phantoms3Wolf Pack7LSommaire du match
77 - 2025-12-22572Abbotsford Canucks2Phantoms4WSommaire du match
78 - 2025-12-23583Phantoms4IceHogs3WXSommaire du match
83 - 2025-12-28605Phantoms2Coachella Valley Firebirds4LSommaire du match
85 - 2025-12-30621Phantoms2Abbotsford Canucks7LSommaire du match
86 - 2025-12-31630Phantoms4Calgary Wranglers3WXSommaire du match
89 - 2026-01-03647Phantoms6Condors2WSommaire du match
92 - 2026-01-06670San Diego Gulls6Phantoms3LSommaire du match
94 - 2026-01-08686Toronto Marlies6Phantoms2LSommaire du match
96 - 2026-01-10705Syracruse Crunch2Phantoms4WSommaire du match
98 - 2026-01-12719Syracruse Crunch5Phantoms3LSommaire du match
100 - 2026-01-14736Phantoms3Rochester Americans4LXSommaire du match
101 - 2026-01-15741Phantoms4Wilkes-Barre Penguins2WSommaire du match
103 - 2026-01-17755Wolf Pack2Phantoms7WSommaire du match
105 - 2026-01-19775Phantoms5Henderson Silver Knights2WSommaire du match
107 - 2026-01-21790Phantoms0Tucson Roadrunners7LSommaire du match
109 - 2026-01-23805Phantoms4Colorado Eagles3WSommaire du match
112 - 2026-01-26827Bridgeport Islanders3Phantoms6WSommaire du match
114 - 2026-01-28840Phantoms2Cleveland Monsters3LXXSommaire du match
115 - 2026-01-29843Phantoms6Bruins3WSommaire du match
117 - 2026-01-31859Ontario Reign3Phantoms1LSommaire du match
120 - 2026-02-03889Bears3Phantoms2LSommaire du match
122 - 2026-02-05907Belleville Senators0Phantoms5WSommaire du match
142 - 2026-02-25911Phantoms-Bears-
143 - 2026-02-26924Phantoms-Wolf Pack-
145 - 2026-02-28935Bruins-Phantoms-
147 - 2026-03-02954Phantoms-Toronto Marlies-
150 - 2026-03-05976Tucson Roadrunners-Phantoms-
152 - 2026-03-07993Phantoms-Wilkes-Barre 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-Iowa Wild-
159 - 2026-03-141052Cleveland Monsters-Phantoms-
163 - 2026-03-181082Phantoms-San Diego Gulls-
164 - 2026-03-191093Phantoms-Ontario Reign-
166 - 2026-03-211103Phantoms-San Jose Barracuda-
169 - 2026-03-241125Cleveland Monsters-Phantoms-
171 - 2026-03-261142IceHogs-Phantoms-
173 - 2026-03-281163Phantoms-Griffins-
174 - 2026-03-291172Texas Stars-Phantoms-
176 - 2026-03-311184Phantoms-Bears-
178 - 2026-04-021196Griffins-Phantoms-
179 - 2026-04-031205Phantoms-Bridgeport Islanders-
181 - 2026-04-051224Bruins-Phantoms-
183 - 2026-04-071236Phantoms-Utica Comets-
185 - 2026-04-091250Phantoms-Griffins-
187 - 2026-04-111272Phantoms-Moose-
189 - 2026-04-131284Chicago Wolves-Phantoms-
190 - 2026-04-141294Laval Rocket-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance53,75127,656
Assistance PCT92.67%95.37%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-27 2807 - 93.57% 115,598$3,352,345$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,029,228$ 2,405,500$ 2,405,500$ 300,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,810,111$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,387,177$ 52 14,018$ 728,936$




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