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Phantoms
GP: 1 | W: 1 | L: 0 | OTL: 0 | P: 2
GF: 3 | GA: 0 | PP%: 14.29% | PK%: 100.00%
DG: Alexandre Fortier | Morale : 51 | Moyenne d’équipe : 63
Prochains matchs #38 vs PenguinsF

Centre de jeu
Firebirds
0-1-0, 0pts
0
FINAL
3 Phantoms
1-0-0, 2pts
Team Stats
L1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche domicile0-0-0
0-1-0Derniers 10 matchs1-0-0
0.00Buts par match 3.00
3.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique14.29%
85.71%Pourcentage en désavantage numérique100.00%
PenguinsF
0-0-0, 0pts
2025-08-17
Phantoms
1-0-0, 2pts
Statistiques d’équipe
N/ASéquenceW1
0-0-0Fiche domicile1-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs1-0-0
0Buts par match 3.00
0Buts contre par match 3.00
0%Pourcentage en avantage numérique14.29%
0%Pourcentage en désavantage numérique100.00%
Wolves
0-1-0, 0pts
2025-08-20
Phantoms
1-0-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche visiteur0-0-0
0-1-010 derniers matchs1-0-0
1.00Buts par match 3.00
4.00Buts contre par match 3.00
0.00%Pourcentage en avantage numérique14.29%
100.00%Pourcentage en désavantage numérique100.00%
Phantoms
1-0-0, 2pts
2025-08-24
Rocket
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-1-0
0-0-0Fiche visiteur0-0-0
1-0-010 derniers matchs0-1-0
3.00Buts par match 2.00
0.00Buts contre par match 2.00
14.29%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Filip Chlapik
1
Passes
Filip Chlapik
1
Points
Filip Chlapik
2
Plus/Moins
Kiefer Sherwood
1
Victoires
Jon Gillies
1
Pourcentage d’arrêts
Jon Gillies
1

Statistiques d’équipe
Buts pour
3
3.00 GFG
Tirs pour
49
49.00 Avg
Pourcentage en avantage numérique
14.3%
1 GF
Début de zone offensive
49.5%
Buts contre
0
0.00 GAA
Tirs contre
25
25.00 Avg
Pourcentage en désavantage numérique
100.0%%
0 GA
Début de la zone défensive
36.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,938
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure18
Limite contact 39 / 56
Espoirs21


Historique d'équipe

Saison actuelle1-0-0 (2PTS)
Historique57-91-13 (0.354%)
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 ChaffeeX100.0077459178707476746170727468484756516602732,000,000$
2Vyacheslav LeshchenkoXX96.0073458475677778706769716461675850516603011,700,000$
3Jesper BoqvistX100.0061459275717891726874716869644862516602621,700,000$
4Kiefer SherwoodXX96.0062459772707273697866687266654952516403011,200,000$
5Zachary SenyshynXXX96.0071588872717877676568707168574956516402821,200,000$
6Pascal LabergeX100.0065458772687675707564686660544956516302731,000,000$
7Filip ChlapikX98.0075457470717475676569676764574956516302821,000,000$
8Kirill SlepetsXX99.006045937265747464696461676151475951610261750,000$
9Justin KeaX100.007856656876697661756362616162524151610311900,000$
10Timotej SilleXX100.005645947174676167596061675945454648600302650,000$
11Robin KovacsXX100.006445877071666667576463656151465048600282650,000$
12Jakub IzackyXX100.005742847065596361645959686157544551580311500,000$
13Jakub ZborilX98.0071458578738488724573656856624959516702812,000,000$
14Sebastian Aho (DEF)X100.0066458375677690754573687559635450516702932,500,000$
15Maxwell GildonX98.006544867268737468456867735651475951640261750,000$
16Filip WesterlundX100.006952877268717058456059675749455951600261750,000$
17Brycen MartinX100.006551817272696861456061635456465351600291800,000$
18Ben ThomasX100.006646897069676757456062655750465351600292700,000$
Rayé
1Ryan RehillX100.008371546575635656455754645452524949580291500,000$
MOYENNE D’ÉQUIPE99.00684884727072746659656568615649535163
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 Gillies99.007578788579788179807880535438496403131,200,000$
2Marek Langhamer100.00788782797676817575778052605052630311900,000$
Rayé
MOYENNE D’ÉQUIPE99.5077838082787781777878805357445164
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
1Filip ChlapikPhantoms (Phi)C11121002342425.00%02121.7001116000001065.71%3500001.8400000010
2Kiefer SherwoodPhantoms (Phi)LW/RW11011201320350.00%02222.2810115000000033.33%300000.9000000000
3Kirill SlepetsPhantoms (Phi)LW/RW1011000005410%02020.8701125000010040.00%500000.9600000000
4Jakub ZborilPhantoms (Phi)D1011100117010%02626.950005700000000%000000.7400000000
5Jesper BoqvistPhantoms (Phi)C1011100006220%01616.3300046000000050.00%200001.2200000000
6Sebastian Aho (DEF)Phantoms (Phi)D1011100102150%01919.700001700000000%000001.0200000000
7Zachary SenyshynPhantoms (Phi)C/LW/RW11011003350320.00%02424.5800016000010052.00%2500000.8100000001
8Pascal LabergePhantoms (Phi)C1000100104140%01515.47000000000000100.00%10000000000000
9Filip WesterlundPhantoms (Phi)D1000000020040%01313.520000000001000%00000000000000
10Maxwell GildonPhantoms (Phi)D1000000013040%12626.230002500001000%00000000000000
11Mitchell ChaffeePhantoms (Phi)LW1000100206370%01515.470000000000000%00000000000000
12Jakub IzackyPhantoms (Phi)LW/RW1000000000000%100.770000000000000%00000000000000
13Vyacheslav LeshchenkoPhantoms (Phi)LW/RW1000000334020%02626.8200026000000076.47%170000000000000
14Brycen MartinPhantoms (Phi)D1000100101210%11919.530000500000000%00000000000000
15Justin KeaPhantoms (Phi)C1000000220000%01313.7200000000000057.89%190000000000000
16Ben ThomasPhantoms (Phi)D1000100230010%11414.070000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne16358102019214915426.12%429818.631231962000071060.75%10700000.5400000011
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)11001.000060010250000010100
Statistiques d’équipe totales ou en moyenne11001.0000.006001025000010100


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
Jakub ZborilPhantoms (Phi)D281997-02-21CZENo200 Lbs6 ft0NoNoN/ANoNo12024-05-29FalseFalsePro & Farm2,000,000$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 SenyshynPhantoms (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
2128.57193 Lbs6 ft11.671,111,905$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kiefer SherwoodZachary SenyshynJesper Boqvist25122
2Mitchell ChaffeeFilip ChlapikPascal Laberge25122
3Kirill SlepetsJustin KeaVyacheslav Leshchenko25122
4Kiefer SherwoodVyacheslav LeshchenkoZachary Senyshyn25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilSebastian Aho (DEF)25122
2Maxwell GildonFilip Westerlund25122
3Ben ThomasBrycen Martin25122
4Jakub ZborilMaxwell Gildon25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesper BoqvistZachary SenyshynVyacheslav Leshchenko50122
2Kirill SlepetsFilip ChlapikKiefer Sherwood50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilSebastian Aho (DEF)50122
2Maxwell GildonBrycen Martin50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zachary SenyshynKiefer Sherwood50122
2Filip ChlapikVyacheslav Leshchenko50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilSebastian Aho (DEF)50122
2Maxwell GildonFilip Westerlund50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Zachary Senyshyn50122Jakub ZborilSebastian Aho (DEF)50122
2Filip Chlapik50122Maxwell GildonBen Thomas50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Zachary SenyshynKiefer Sherwood50122
2Filip ChlapikJesper Boqvist50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilBrycen Martin50122
2Maxwell GildonBen Thomas50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jesper BoqvistZachary SenyshynVyacheslav LeshchenkoJakub ZborilSebastian Aho (DEF)
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jesper BoqvistZachary SenyshynKirill SlepetsJakub ZborilSebastian Aho (DEF)
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zachary Senyshyn, Kiefer Sherwood, Filip ChlapikZachary Senyshyn, Filip ChlapikZachary Senyshyn
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jakub Zboril, Maxwell Gildon, Brycen MartinJakub ZborilMaxwell Gildon, Jakub Zboril
Tirs de pénalité
Filip Chlapik, Jesper Boqvist, Zachary Senyshyn, Kiefer Sherwood, Vyacheslav Leshchenko
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
1Firebirds11000000303110000003030000000000021.0003580101204912211602542197114.29%10100.00%0335362.26%233958.97%91560.00%2619207126
Total11000000303110000003030000000000021.0003580101204912211602542197114.29%10100.00%0335362.26%233958.97%91560.00%2619207126
_Since Last GM Reset11000000303110000003030000000000021.0003580101204912211602542197114.29%10100.00%0335362.26%233958.97%91560.00%2619207126
_Vs Conference11000000303110000003030000000000021.0003580101204912211602542197114.29%10100.00%0335362.26%233958.97%91560.00%2619207126

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
12W13584925421901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
110000030
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000030
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
7114.29%10100.00%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
12211600120
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
335362.26%233958.97%91560.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2619207126


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 - 2025-08-1738PenguinsF-Phantoms-
9 - 2025-08-2065Wolves-Phantoms-
13 - 2025-08-2493Phantoms-Rocket-
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
Assistance2,000938
Assistance PCT100.00%93.80%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 2938 - 97.93% 125,264$125,264$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
13,162$ 2,335,000$ 2,335,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 12,622$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 184 13,162$ 2,421,808$




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 Senyshyn1524756103-269117820636412.91%30269217.711319326601147147.50%00.7717
2Jakub Zboril146206787-5111420415117211.63%173313421.47111021850000100%00.5600
3Maxwell Gildon151196382-14901581391949.79%196302620.0491221831011200%00.5400
4Ivan Chekhovich149354681-492611311628912.11%16255617.1678154500026245.11%00.6318
5Kiefer Sherwood144403777-12317714329013.79%39256617.8266125400023252.22%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
4Mattias Modig102100.9053.13402002122000000
5Jon Gillies11001.0000600102500000

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
1711000000303110000003030000000000023580101204912211602542197114.29%10100.00%0335362.26%233958.97%91560.00%2619207126
Total Saison régulière165489104859469636-16783284101436234311-7782205003423235325-9013146984913187317513914617448013941514152598528215111163264350010120.20%50512675.05%52544530747.94%2753571748.15%1285275046.73%376325454054124921861072
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