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Phantoms
GP: 4 | W: 3 | L: 1 | OTL: 0 | P: 6
GF: 13 | GA: 7 | PP%: 8.70% | PK%: 80.00%
DG: Alexandre Fortier | Morale : 52 | Moyenne d’équipe : 62
Prochains matchs #97 vs Checkers

Centre de jeu
Wolves
0-7-0, 0pts
2
FINAL
3 Phantoms
3-1-0, 6pts
Team Stats
L7SéquenceW2
0-3-0Fiche domicile2-1-0
0-4-0Fiche domicile1-0-0
0-7-0Derniers 10 matchs3-1-0
2.14Buts par match 3.25
4.57Buts contre par match 1.75
15.79%Pourcentage en avantage numérique8.70%
67.74%Pourcentage en désavantage numérique80.00%
Phantoms
3-1-0, 6pts
5
FINAL
2 Rocket
4-3-0, 8pts
Team Stats
W2SéquenceL2
2-1-0Fiche domicile1-2-0
1-0-0Fiche domicile3-1-0
3-1-0Derniers 10 matchs4-3-0
3.25Buts par match 3.00
1.75Buts contre par match 3.29
8.70%Pourcentage en avantage numérique21.74%
80.00%Pourcentage en désavantage numérique76.19%
Checkers
2-4-0, 4pts
2025-08-25
Phantoms
3-1-0, 6pts
Statistiques d’équipe
L2SéquenceW2
2-1-0Fiche domicile2-1-0
0-3-0Fiche visiteur1-0-0
2-4-010 derniers matchs3-1-0
2.83Buts par match 3.25
3.33Buts contre par match 3.25
16.67%Pourcentage en avantage numérique8.70%
83.33%Pourcentage en désavantage numérique80.00%
Phantoms
3-1-0, 6pts
2025-08-28
Firebirds
3-2-1, 7pts
Statistiques d’équipe
W2SéquenceOTW1
2-1-0Fiche domicile1-1-1
1-0-0Fiche visiteur2-1-0
3-1-010 derniers matchs3-2-1
3.25Buts par match 3.00
1.75Buts contre par match 3.00
8.70%Pourcentage en avantage numérique23.08%
80.00%Pourcentage en désavantage numérique88.24%
SenatorsF
3-0-3, 9pts
2025-08-29
Phantoms
3-1-0, 6pts
Statistiques d’équipe
OTW1SéquenceW2
1-0-2Fiche domicile2-1-0
2-0-1Fiche visiteur1-0-0
3-0-310 derniers matchs3-1-0
3.50Buts par match 3.25
3.00Buts contre par match 3.25
26.67%Pourcentage en avantage numérique8.70%
100.00%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Buts
Justin Kea
2
Passes
Filip Chlapik
3
Points
Justin Kea
4
Plus/Moins
Pascal Laberge
4
Victoires
Jon Gillies
3
Pourcentage d’arrêts
Jon Gillies
0.923

Statistiques d’équipe
Buts pour
13
3.25 GFG
Tirs pour
158
39.50 Avg
Pourcentage en avantage numérique
8.7%
2 GF
Début de zone offensive
49.9%
Buts contre
7
1.75 GAA
Tirs contre
91
22.75 Avg
Pourcentage en désavantage numérique
80.0%%
1 GA
Début de la zone défensive
33.5%
Informations de l'équipe

Directeur généralAlexandre Fortier
EntraîneurMike Sullivan
DivisionDivision Atlantique
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,843
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure19
Limite contact 39 / 56
Espoirs21


Historique d'équipe

Saison actuelle3-1-0 (6PTS)
Historique59-92-13 (0.360%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
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
1Mitchell ChaffeeX96.0077459178707476746170727468484756536602732,000,000$
2Vyacheslav LeshchenkoXX98.0073458475677778706769716461675850536603011,700,000$
3Jesper BoqvistX100.0061459275717891726874716869644862536602621,700,000$
4Kiefer SherwoodXX96.0062459772707273697866687266654952536403011,200,000$
5Zachary SenyshynXXX95.0071588872717877676568707168574956536402821,200,000$
6Pascal LabergeX100.0065458772687675707564686660544956536302731,000,000$
7Filip ChlapikX100.0075457470717475676569676764574956536302821,000,000$
8Kirill SlepetsXX98.006045937265747464696461676151475953610261750,000$
9Justin KeaX100.007856656876697661756362616162524153610311900,000$
10Timotej SilleXX100.005645947174676167596061675945454650600302650,000$
11Robin KovacsXX100.006445877071666667576463656151465050600282650,000$
12Jakub IzackyXX100.005742847065596361645959686157544553580311500,000$
13Sebastian Aho (DEF)X99.0066458375677690754573687559635450536702932,500,000$
14Maxwell GildonX96.836544867268737468456867735651475942640261750,000$
15Filip WesterlundX100.006952877268717058456059675749455953600261750,000$
16Brycen MartinX99.006551817272696861456061635456465353600291800,000$
17Ben ThomasX100.006646897069676757456062655750465353600292700,000$
18Ryan RehillX100.008371546575635656455754645452524951580291500,000$
Rayé
MOYENNE D’ÉQUIPE98.72674884727071736660656568615649535262
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
1Jon Gillies99.007578788579788179807880535438516403131,200,000$
2Marek Langhamer100.00788782797676817575778052605054630311900,000$
Rayé
MOYENNE D’ÉQUIPE99.5077838082787781777878805357445364
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Sullivan90659076999951USA563100,000$


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
1Jakub ZborilFlyersD30552003410050%47826.3100071600002000%000001.2700000100
2Justin KeaPhantoms (Phi)C42241008962233.33%05714.3400000000000057.33%7500001.3900000100
3Filip ChlapikPhantoms (Phi)C413442089115129.09%08521.25022419000031062.28%11400000.9400000010
4Kiefer SherwoodPhantoms (Phi)LW/RW41230402613277.69%28922.28101618000020050.00%800000.6700000000
5Kirill SlepetsPhantoms (Phi)LW/RW40331001519460%08020.11011619000020062.50%800000.7500000001
6Sebastian Aho (DEF)Phantoms (Phi)D412320034631416.67%29022.6510142100004010%000000.6600000000
7Pascal LabergePhantoms (Phi)C41124002093911.11%06416.0800002000000020.00%500000.6200000001
8Vyacheslav LeshchenkoPhantoms (Phi)LW/RW4202-100661601312.50%29022.60000316000121063.64%3300000.4400000010
9Jesper BoqvistPhantoms (Phi)C41122005314287.14%06616.58000623000010037.50%800000.6000000000
10Zachary SenyshynPhantoms (Phi)C/LW/RW4202000712165512.50%09523.98000523000051049.47%9500000.4200000001
11Ben ThomasPhantoms (Phi)D4022300743150%36616.6800021000001000%000000.6000000000
12Ryan RehillPhantoms (Phi)D2011020701030%03216.140000000000000%000000.6200000000
13Filip WesterlundPhantoms (Phi)D41010001531733.33%36616.500000300004000%000000.3000000000
14Maxwell GildonPhantoms (Phi)D3011100036160%35418.3100041300001000%000000.3600000000
15Mitchell ChaffeePhantoms (Phi)LW410142074178135.88%07318.3800005000000066.67%1500000.2700000000
16Jakub IzackyPhantoms (Phi)LW/RW4000000013210%192.430001300000000%00000000000000
17Brycen MartinPhantoms (Phi)D4000220235550%38721.7700022100002000%00000000000000
Statistiques d’équipe totales ou en moyenne64132336251206978158441218.23%23118818.57235502180001373156.79%36100000.6100000223
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
1Jon GilliesPhantoms (Phi)43100.9231.76239017910100040100
Statistiques d’équipe totales ou en moyenne43100.9231.7623901791010040100


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
Ben ThomasPhantoms (Phi)D291996-05-28CANNo187 Lbs6 ft1NoNoN/ANoNo22024-05-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Brycen MartinPhantoms (Phi)D291996-05-09CANNo210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Filip ChlapikPhantoms (Phi)C281997-06-03CZENo207 Lbs6 ft2NoNoN/ANoNo22024-05-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Filip WesterlundPhantoms (Phi)D261999-04-17SWENo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Jakub IzackyPhantoms (Phi)LW/RW311993-11-25CZENo187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Jesper BoqvistPhantoms (Phi)C261998-10-30SWENo180 Lbs6 ft0NoNoN/ANoNo22025-05-28FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Jon GilliesPhantoms (Phi)G311994-01-22USANo223 Lbs6 ft6NoNoFree AgentNoNo32025-07-03FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Justin KeaPhantoms (Phi)C311994-02-07CANNo215 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Kiefer SherwoodPhantoms (Phi)LW/RW301995-03-21USANo194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Kirill SlepetsPhantoms (Phi)LW/RW261999-04-06RUSNo165 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Marek LanghamerPhantoms (Phi)G311994-07-22CZENo190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Maxwell GildonPhantoms (Phi)D261999-05-17USANo194 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Mitchell ChaffeePhantoms (Phi)LW271998-01-26USANo192 Lbs6 ft1NoNoFree AgentNoNo32025-05-28FalseFalsePro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien
Pascal LabergePhantoms (Phi)C271998-04-09CANNo172 Lbs6 ft1NoNoN/ANoNo32025-05-28FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Robin KovacsPhantoms (Phi)LW/RW281996-11-16SWENo192 Lbs6 ft0NoNoFree AgentNoNo22025-08-22FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Ryan RehillPhantoms (Phi)D291995-11-07CANNo215 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Sebastian Aho (DEF)Phantoms (Phi)D291996-02-17SWENo177 Lbs5 ft11NoNoTrade2025-04-09NoNo32025-05-28FalseFalsePro & Farm2,500,000$0$0$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------NoNo-------Lien
Timotej SillePhantoms (Phi)LW/RW301995-06-22SVKNo209 Lbs6 ft3NoNoFree AgentNoNo22025-08-22FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Vyacheslav LeshchenkoPhantoms (Phi)LW/RW301995-04-24RUSNo160 Lbs6 ft0NoNoTrade2025-02-01NoNo12024-04-29FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Zachary Senyshyn (sur la masse salariale)Phantoms (Phi)C/LW/RW281997-03-30CANNo207 Lbs6 ft1NoNoN/ANoNo22024-05-29FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2028.60193 Lbs6 ft11.701,067,500$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kiefer SherwoodZachary SenyshynJesper Boqvist25122
2Mitchell ChaffeeFilip ChlapikPascal Laberge25122
3Kirill SlepetsJustin KeaVyacheslav Leshchenko25122
4Kiefer SherwoodMitchell ChaffeeZachary Senyshyn25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxwell GildonSebastian Aho (DEF)25122
2Ryan RehillFilip Westerlund25122
3Ben ThomasBrycen Martin25122
4Brycen MartinSebastian Aho (DEF)25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesper BoqvistZachary SenyshynMitchell Chaffee50122
2Kirill SlepetsFilip ChlapikKiefer Sherwood50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxwell GildonSebastian Aho (DEF)50122
2Ben ThomasBrycen Martin50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zachary SenyshynKiefer Sherwood50122
2Filip ChlapikJesper Boqvist50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben ThomasSebastian Aho (DEF)50122
2Brycen MartinFilip Westerlund50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zachary Senyshyn50122Filip WesterlundSebastian Aho (DEF)50122
2Filip Chlapik50122Brycen MartinBen Thomas50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zachary SenyshynKiefer Sherwood50122
2Filip ChlapikJesper Boqvist50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxwell GildonBrycen Martin50122
2Sebastian Aho (DEF)Ben Thomas50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jesper BoqvistZachary SenyshynMitchell ChaffeeMaxwell GildonSebastian Aho (DEF)
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jesper BoqvistZachary SenyshynKirill SlepetsMaxwell GildonSebastian Aho (DEF)
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zachary Senyshyn, Kiefer Sherwood, Filip ChlapikZachary Senyshyn, Filip ChlapikZachary Senyshyn
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ben Thomas, Sebastian Aho (DEF), Brycen MartinSebastian Aho (DEF)Sebastian Aho (DEF), Brycen Martin
Tirs de pénalité
Filip Chlapik, Jesper Boqvist, Zachary Senyshyn, Kiefer Sherwood, Kirill Slepets
Gardien
#1 : Jon Gillies, #2 : Marek Langhamer


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
1Firebirds11000000303110000003030000000000021.0003580114804949545502542197114.29%10100.00%010218056.67%7212159.50%316051.67%1027284305327
2PenguinsF1010000023-11010000023-10000000000000.00024600148036495455020707700.00%000%010218056.67%7212159.50%316051.67%1027284305327
3Rocket11000000523000000000001100000052321.00058130014804149545502496225120.00%2150.00%010218056.67%7212159.50%316051.67%1027284305327
4Wolves11000000321110000003210000000000021.000369001480324954550223421400.00%20100.00%010218056.67%7212159.50%316051.67%1027284305327
Total431000001376321000008531100000052360.7501323360114801584954550912312692328.70%5180.00%010218056.67%7212159.50%316051.67%1027284305327
_Since Last GM Reset431000001376321000008531100000052360.7501323360114801584954550912312692328.70%5180.00%010218056.67%7212159.50%316051.67%1027284305327
_Vs Conference431000001376321000008531100000052360.7501323360114801584954550912312692328.70%5180.00%010218056.67%7212159.50%316051.67%1027284305327
_Vs Division11100000523011000000001000000052321.00058130014804149545502496225120.00%2150.00%010218056.67%7212159.50%316051.67%1027284305327

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
46W21323361589123126901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4310000137
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321000085
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
110000052
Derniers 10 matchs
WLOTWOTL SOWSOL
310000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2328.70%5180.00%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
49545501480
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
10218056.67%7212159.50%316051.67%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1027284305327


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 - 2025-08-125Firebirds0Phantoms3WSommaire du match
6 - 2025-08-1738PenguinsF3Phantoms2LSommaire du match
9 - 2025-08-2065Wolves2Phantoms3WSommaire du match
13 - 2025-08-2493Phantoms5Rocket2WSommaire du match
14 - 2025-08-2597Checkers-Phantoms-
17 - 2025-08-28118Phantoms-Firebirds-
18 - 2025-08-29129SenatorsF-Phantoms-
21 - 2025-09-01148Phantoms-BruinsF-
22 - 2025-09-02160Islanders-Phantoms-
26 - 2025-09-06183Phantoms-Marlies-
27 - 2025-09-07193BruinsF-Phantoms-
30 - 2025-09-10213Phantoms-Barracuda-
31 - 2025-09-11225Americans-Phantoms-
34 - 2025-09-14248Phantoms-Americans-
36 - 2025-09-16257Bears-Phantoms-
38 - 2025-09-18277Phantoms-Iowa Wild-
39 - 2025-09-19289Thunderbirds-Phantoms-
42 - 2025-09-22312Phantoms-Wolves-
44 - 2025-09-24322Icehogs-Phantoms-
46 - 2025-09-26340Phantoms-Marlies-
47 - 2025-09-27353Gulls-Phantoms-
50 - 2025-09-30376Phantoms-Barracuda-
51 - 2025-10-01385Bears-Phantoms-
54 - 2025-10-04404Phantoms-Americans-
56 - 2025-10-06417Condors-Phantoms-
58 - 2025-10-08429Phantoms-PenguinsF-
60 - 2025-10-10442Phantoms-Islanders-
62 - 2025-10-12458Americans-Phantoms-
64 - 2025-10-14473Phantoms-Islanders-
66 - 2025-10-16486Phantoms-Roadrunners-
67 - 2025-10-17495Islanders-Phantoms-
69 - 2025-10-19515Phantoms-PenguinsF-
71 - 2025-10-21527BruinsF-Phantoms-
73 - 2025-10-23547Monsters-Phantoms-
76 - 2025-10-26569Phantoms-Wranglers-
78 - 2025-10-28581Comets-Phantoms-
81 - 2025-10-31605Phantoms-Reign-
83 - 2025-11-02617SenatorsF-Phantoms-
86 - 2025-11-05641PenguinsF-Phantoms-
88 - 2025-11-07658Phantoms-Moose-
90 - 2025-11-09673Marlies-Phantoms-
92 - 2025-11-11689Phantoms-Gulls-
95 - 2025-11-14708Wolves-Phantoms-
98 - 2025-11-17730Phantoms-BruinsF-
100 - 2025-11-19741Moose-Phantoms-
102 - 2025-11-21761Phantoms-Eagles-
104 - 2025-11-23773Wolf Pack-Phantoms-
106 - 2025-11-25789Phantoms-Moose-
108 - 2025-11-27804Wolf Pack-Phantoms-
109 - 2025-11-28816Phantoms-Wolf Pack-
112 - 2025-12-01836Moose-Phantoms-
116 - 2025-12-05864Eagles-Phantoms-
117 - 2025-12-06873Phantoms-Rocket-
120 - 2025-12-09893Phantoms-Wolves-
121 - 2025-12-10901Comets-Phantoms-
123 - 2025-12-12917Phantoms-Thunderbirds-
125 - 2025-12-14932Checkers-Phantoms-
129 - 2025-12-18957Phantoms-Comets-
130 - 2025-12-19964Marlies-Phantoms-
134 - 2025-12-23994Crunch-Phantoms-
136 - 2025-12-251006Phantoms-Bears-
137 - 2025-12-261013Phantoms-Condors-
139 - 2025-12-281030Wranglers-Phantoms-
143 - 2026-01-011055Phantoms-SenatorsF-
144 - 2026-01-021063Crunch-Phantoms-
149 - 2026-01-071088Phantoms-SenatorsF-
150 - 2026-01-081095Admirals-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153 - 2026-01-111120Firebirds-Phantoms-
156 - 2026-01-141134Phantoms-Crunch-
158 - 2026-01-161149Phantoms-Wolf Pack-
159 - 2026-01-171157Rocket-Phantoms-
162 - 2026-01-201179Phantoms-Firebirds-
163 - 2026-01-211189Rocket-Phantoms-
164 - 2026-01-221193Phantoms-StarsF-
168 - 2026-01-261219Silver Knights-Phantoms-
172 - 2026-01-301250Griffins-Phantoms-
173 - 2026-01-311252Phantoms-Checkers-
174 - 2026-02-011262Phantoms-Bears-
176 - 2026-02-031273Phantoms-Comets-
178 - 2026-02-051282Phantoms-Checkers-
179 - 2026-02-061288Canucks-Phantoms-
181 - 2026-02-081293Phantoms-Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance5,6892,839
Assistance PCT94.82%94.63%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2843 - 94.76% 120,044$360,133$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
166,676$ 2,135,000$ 2,135,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 159,650$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,561,685$ 172 12,081$ 2,077,932$




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
1Zachary Senyshyn1554856104-279118221537512.80%30276317.831319327001148147.55%00.7517
2Jakub Zboril148207191-5011420615417511.43%177318621.53111021870000100%00.5700
3Maxwell Gildon153196483-13901581411979.64%198305419.9791221851011200%00.5400
4Ivan Chekhovich149354681-492611311628912.11%16255617.1678154500026245.11%00.6318
5Kiefer Sherwood147403979-13337814630113.29%41263217.9166125900023252.30%10.6047

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
1Marek Langhamer1153752120.8873.6362486237833330350.63238
2Martin Jones2691030.8803.79121820776430000.6673
3Dan Blackburn3882420.8763.781919201219740120.60010
4Jon Gillies43100.9231.762390179101000
5Mattias Modig102100.9053.13402002122000000

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
1582184903246218322-1044192101226111160-494192802020107162-55582183966142084606713221170275373460263071259012862384318.07%2516673.71%11256264047.58%1375282548.67%641137346.69%1880127220116201087533
1682294201613248314-6641182000210120151-3141112201403128163-3571248448696529178774222068074077538262779557113382555722.35%2536076.28%41255261448.01%1355285347.49%635136246.62%1856125320216211086532
17431000001376321000008531100000052361323360114801584954550912312692328.70%5180.00%010218056.67%7212159.50%316051.67%1027284305327
Total Saison régulière168509204859479643-16485294201436239316-7783215003423240327-8713547986713467317614215217458914311547156498534815301173269351610219.77%50912775.05%52613543448.09%2802579948.32%1307279546.76%383825984117127222271093
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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