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Phantoms
GP: 5 | W: 3 | L: 2 | OTL: 0 | P: 6
GF: 15 | GA: 10 | PP%: 12.00% | PK%: 87.50%
DG: Alexandre Fortier | Morale : 51 | Moyenne d’équipe : 62
Prochains matchs #118 vs Firebirds

Centre de jeu
Phantoms
3-2-0, 6pts
5
FINAL
2 Rocket
4-3-0, 8pts
Team Stats
L1SéquenceL2
2-2-0Fiche domicile1-2-0
1-0-0Fiche domicile3-1-0
3-2-0Derniers 10 matchs4-3-0
3.00Buts par match 3.00
2.00Buts contre par match 3.29
12.00%Pourcentage en avantage numérique21.74%
87.50%Pourcentage en désavantage numérique76.19%
Checkers
3-4-0, 6pts
3
FINAL
2 Phantoms
3-2-0, 6pts
Team Stats
W1SéquenceL1
2-1-0Fiche domicile2-2-0
1-3-0Fiche domicile1-0-0
3-4-0Derniers 10 matchs3-2-0
2.86Buts par match 3.00
3.14Buts contre par match 2.00
14.29%Pourcentage en avantage numérique12.00%
78.57%Pourcentage en désavantage numérique87.50%
Phantoms
3-2-0, 6pts
2025-08-28
Firebirds
3-3-1, 7pts
Statistiques d’équipe
L1SéquenceL1
2-2-0Fiche domicile1-1-1
1-0-0Fiche visiteur2-2-0
3-2-010 derniers matchs3-3-1
3.00Buts par match 3.29
2.00Buts contre par match 3.29
12.00%Pourcentage en avantage numérique21.43%
87.50%Pourcentage en désavantage numérique76.19%
SenatorsF
3-0-3, 9pts
2025-08-29
Phantoms
3-2-0, 6pts
Statistiques d’équipe
OTW1SéquenceL1
1-0-2Fiche domicile2-2-0
2-0-1Fiche visiteur1-0-0
3-0-310 derniers matchs3-2-0
3.50Buts par match 3.00
3.00Buts contre par match 3.00
26.67%Pourcentage en avantage numérique12.00%
100.00%Pourcentage en désavantage numérique87.50%
Phantoms
3-2-0, 6pts
2025-09-01
BruinsF
6-1-0, 12pts
Statistiques d’équipe
L1SéquenceW2
2-2-0Fiche domicile4-0-0
1-0-0Fiche visiteur2-1-0
3-2-010 derniers matchs6-1-0
3.00Buts par match 4.57
2.00Buts contre par match 4.57
12.00%Pourcentage en avantage numérique8.33%
87.50%Pourcentage en désavantage numérique70.00%
Meneurs d'équipe
Buts
Zachary Senyshyn
3
Passes
Filip Chlapik
4
Points
Filip Chlapik
5
Plus/Moins
Pascal Laberge
3
Victoires
Jon Gillies
3
Pourcentage d’arrêts
Jon Gillies
0.92

Statistiques d’équipe
Buts pour
15
3.00 GFG
Tirs pour
180
36.00 Avg
Pourcentage en avantage numérique
12.0%
3 GF
Début de zone offensive
47.1%
Buts contre
10
2.00 GAA
Tirs contre
125
25.00 Avg
Pourcentage en désavantage numérique
87.5%%
1 GA
Début de la zone défensive
35.9%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,862
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure18
Limite contact 39 / 56
Espoirs21


Historique d'équipe

Saison actuelle3-2-0 (6PTS)
Historique59-93-13 (0.358%)
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 ChaffeeX96.0077459178707476746170727468484756526602732,000,000$
2Vyacheslav LeshchenkoXX100.0073458475677778706769716461675850526603011,700,000$
3Jesper BoqvistX100.0061459275717891726874716869644862526602621,700,000$
4Pascal LabergeX100.0065458772687675707564686660544956526302731,000,000$
5Filip ChlapikX100.0075457470717475676569676764574956526302821,000,000$
6Kirill SlepetsXX98.006045937265747464696461676151475952610261750,000$
7Justin KeaX100.007856656876697661756362616162524152610311900,000$
8Timotej SilleXX100.005645947174676167596061675945454649600302650,000$
9Robin KovacsXX100.006445877071666667576463656151465049600282650,000$
10Jakub IzackyXX100.005742847065596361645959686157544552580311500,000$
11Sebastian Aho (DEF)X100.0066458375677690754573687559635450526702932,500,000$
12Maxwell GildonX98.836544867268737468456867735651475941640261750,000$
13Filip WesterlundX100.006952877268717058456059675749455952600261750,000$
14Brycen MartinX100.006551817272696861456061635456465352600291800,000$
15Ben ThomasX100.006646897069676757456062655750465352600292700,000$
16Ryan RehillX100.008371546575635656455754645452524950580291500,000$
Rayé
1Kiefer SherwoodXX95.0062459772707273697866687266654952526403011,200,000$
2Zachary SenyshynXXX94.0071588872717877676568707168574956526402821,200,000$
3Kale ClagueX100.0063458772698082694573706960584856516402731,200,000$
MOYENNE D’ÉQUIPE99.00674884727072736659656568615649535162
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 Gillies98.007578788579788179807880535438516403131,200,000$
2Marek Langhamer100.00788782797676817575778052605054630311900,000$
Rayé
MOYENNE D’ÉQUIPE99.0077838082787781777878805357445364
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
2Filip ChlapikPhantoms (Phi)C51453201010156126.67%110220.53022421000041059.56%13600000.9700000010
3Justin KeaPhantoms (Phi)C522400091062233.33%07615.2400000000000056.04%9100001.0500000100
4Sebastian Aho (DEF)Phantoms (Phi)D513412096941511.11%411322.6311252200005010%000000.7100000000
5Pascal LabergePhantoms (Phi)C521330020114918.18%08016.0800002000010028.57%700000.7500000001
6Kiefer SherwoodPhantoms (Phi)LW/RW51230402915296.67%211022.09101820000030040.00%1000000.5400000000
7Kirill SlepetsPhantoms (Phi)LW/RW50330001520470%010120.30011721000020055.56%900000.5900000001
8Jesper BoqvistPhantoms (Phi)C512320054182115.56%08316.62011725000020037.50%800000.7200000000
9Zachary SenyshynPhantoms (Phi)C/LW/RW53030008151851016.67%011823.66101725000071044.63%12100000.5100000001
10Filip WesterlundPhantoms (Phi)D51120004541725.00%38517.030000300006000%000000.4700000000
11Vyacheslav LeshchenkoPhantoms (Phi)LW/RW5202-200681601412.50%210921.85000316000121065.71%3500000.3700000010
12Ben ThomasPhantoms (Phi)D5022200863150%48617.2300021200004000%000000.4600000000
13Ryan RehillPhantoms (Phi)D2011020701030%03216.140000000000000%000000.6200000000
14Maxwell GildonPhantoms (Phi)D4011000147170%67318.5000051500002000%000000.2700000000
15Mitchell ChaffeePhantoms (Phi)LW510122084198145.26%09318.6800007000000060.00%2000000.2100000000
16Jakub IzackyPhantoms (Phi)LW/RW5000100013210%1102.190001300000000%00000000000000
17Brycen MartinPhantoms (Phi)D5000140645650%410921.9300022300003000%00000000000000
18Kale ClaguePhantoms (Phi)D1000000220010%01717.200000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne80152742151609197180481378.33%31148218.53358582370001513153.78%43700000.5700000223
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)53200.9202.0129821101250100050100
Statistiques d’équipe totales ou en moyenne53200.9202.012982110125010050100


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
Kale ClaguePhantoms (Phi)D271998-06-05CANNo192 Lbs6 ft0NoNoN/ANoNo32025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Kiefer Sherwood (sur la masse salariale)Phantoms (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$0$Yes1,200,000$--------1,200,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2128.52193 Lbs6 ft11.761,073,810$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesper Boqvist25122
2Mitchell ChaffeeFilip ChlapikPascal Laberge25122
3Kirill SlepetsJustin KeaVyacheslav Leshchenko25122
4Mitchell Chaffee25122
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 BoqvistMitchell Chaffee50122
2Kirill SlepetsFilip Chlapik50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxwell GildonSebastian Aho (DEF)50122
2Ben ThomasBrycen Martin50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
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
150122Filip WesterlundSebastian Aho (DEF)50122
2Filip Chlapik50122Brycen MartinBen Thomas50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
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 BoqvistMitchell ChaffeeMaxwell GildonSebastian Aho (DEF)
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jesper BoqvistKirill SlepetsMaxwell GildonSebastian Aho (DEF)
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Filip Chlapik, Filip Chlapik
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, , , 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
1Checkers1010000023-11010000023-10000000000000.0002460015902253636403486222150.00%30100.00%011220654.37%8615754.78%377450.00%12185113376533
2Firebirds11000000303110000003030000000000021.0003580115904953636402542197114.29%10100.00%011220654.37%8615754.78%377450.00%12185113376533
3PenguinsF1010000023-11010000023-10000000000000.00024600159036536364020707700.00%000%011220654.37%8615754.78%377450.00%12185113376533
4Rocket11000000523000000000001100000052321.00058130015904153636402496225120.00%2150.00%011220654.37%8615754.78%377450.00%12185113376533
5Wolves11000000321110000003210000000000021.000369001590325363640223421400.00%20100.00%011220654.37%8615754.78%377450.00%12185113376533
Total53200000151054220000010821100000052360.600152742011590180536364012531189125312.00%8187.50%011220654.37%8615754.78%377450.00%12185113376533
_Since Last GM Reset53200000151054220000010821100000052360.600152742011590180536364012531189125312.00%8187.50%011220654.37%8615754.78%377450.00%12185113376533
_Vs Conference53200000151054220000010821100000052360.600152742011590180536364012531189125312.00%8187.50%011220654.37%8615754.78%377450.00%12185113376533
_Vs Division211000007521110000023-11000000052320.50071219001590635363640581712447228.57%5180.00%011220654.37%8615754.78%377450.00%12185113376533

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
56L115274218012531189101
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
53200001510
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4220000108
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
110000052
Derniers 10 matchs
WLOTWOTL SOWSOL
320000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
25312.00%8187.50%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
53636401590
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
11220654.37%8615754.78%377450.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12185113376533


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 - 2025-08-2597Checkers3Phantoms2LSommaire du match
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
Assistance7,6073,839
Assistance PCT95.09%95.98%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 2862 - 95.38% 120,627$482,507$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
189,541$ 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$ 181,434$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,463,190$ 170 12,081$ 2,053,770$




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 Senyshyn1564956105-279118321837713.00%30278617.861419337201148147.19%00.7517
2Jakub Zboril148207191-5011420615417511.43%177318621.53111021870000100%00.5700
3Maxwell Gildon154196483-14901591421989.60%201307319.9691221861011200%00.5400
4Ivan Chekhovich149354681-492611311628912.11%16255617.1678154500026245.11%00.6318
5Kiefer Sherwood148403979-13337814930313.20%41265417.9366126100023252.10%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 Gillies53200.9202.01298211012501000
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
175320000015105422000001082110000005236152742011590180536364012531189125312.00%8187.50%011220654.37%8615754.78%377450.00%12185113376533
Total Saison régulière169509304859481646-16586294301436241319-7883215003423240327-8713548187113527317614315317461114351556157398538215381179271551810319.88%51212775.20%52623546048.04%2816583548.26%1313280946.74%385726114146127922391099
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