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Connexion

Phantoms
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Alexandre Fortier | Morale : 50 | Moyenne d’équipe : 62
Prochains matchs #16 vs Crunch

Crunch
0-0-0, 0pts
2025-08-25
Phantoms
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Condors
0-0-0, 0pts
2025-08-26
Phantoms
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Islanders
0-0-0, 0pts
2025-08-29
Phantoms
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure19
Limite contact 39 / 56
Espoirs20


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
1Zachary Senyshyn0XXX100.0072598972718076696769727370605154506602911,200,000$
2Filip Chlapik0X100.0077457470717676676770676662605054506402911,000,000$
3Brendan Harms0XX100.005946997170686669576666686648463850610311650,000$
4Timotej Sille0XX100.005446957174666367586061665948454250590311650,000$
5Kale Clague0X100.0062468972697980694572707160604954506502821,200,000$
Rayé
1Pascal Laberge0X100.0065458872687877707764696559575054506402821,000,000$
2Jeff Malott (R)0X100.007555828074698471507066726050454050640301900,000$
3Mathieu Joseph0XXX100.0063458670737262656865676463727154506402931,000,000$
4Kailer Yamamoto0XXX100.005845947068727164666564646368665450630273900,000$
5Ivan Chekhovich0XX100.006145947267727566646868626254475450620273800,000$
6Kirill Slepets0XX100.005945957265767665706561686054485850620273800,000$
7Robin Kovacs0XX100.006545897071656868566565656054474650620291650,000$
8Ruslan Iskhakov (R)0X100.005646787465707069706768706549517050620263750,000$
9jake wise (R)0X100.006447857169606066716765686252526050610263750,000$
10Karl Henriksson (R)0XX100.006653617367707067586569706549517050610253750,000$
11Maxwell Gildon0X100.0065448772687574694568697356544858506402731,000,000$
12Filip Westerlund0X100.007053877268737258456058685752455850610273700,000$
13arvid bergstrom (R)0X100.005346847164676764456364676145458050600213750,000$
14Ben Thomas0X100.006647897069686957456062645753465050600301700,000$
MOYENNE D’ÉQUIPE100.00644887726971716659666668615550555062
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 Gillies0100.007576788579767977787781545534506303221,200,000$
Rayé
MOYENNE D’ÉQUIPE100.0075767885797679777877815455345063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Sullivan86619377999947USA572100,000$


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
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


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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)D301996-05-28CANNo187 Lbs6 ft1NoNoN/ANoNo12024-05-29FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Brendan HarmsPhantoms (Phi)LW/RW311994-12-02CANNo183 Lbs6 ft0NoNoFree Agent2024-09-20NoNo12025-08-22FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Filip ChlapikPhantoms (Phi)C291997-06-03CZENo207 Lbs6 ft2NoNoN/ANoNo12024-05-29FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Filip WesterlundPhantoms (Phi)D271999-04-17SWENo180 Lbs5 ft11NoNoN/ANoNo32026-05-12FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Ivan ChekhovichPhantoms (Phi)LW/RW271999-01-04RUSNo185 Lbs5 ft10NoNoN/ANoNo32026-05-12FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Jeff MalottPhantoms (Phi)RW301996-08-07CANYes215 Lbs6 ft5NoNoFree AgentNoNo12026-05-11FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Jon GilliesPhantoms (Phi)G321994-01-22USANo223 Lbs6 ft6NoNoFree AgentNoNo22025-07-03FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Kailer YamamotoPhantoms (Phi)C/LW/RW271998-09-29USANo178 Lbs5 ft9NoNoFree AgentNoNo32026-05-12FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Kale ClaguePhantoms (Phi)D281998-06-05CANNo192 Lbs6 ft0NoNoN/ANoNo22025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Karl HenrikssonPhantoms (Phi)LW/RW252001-02-05SWEYes174 Lbs5 ft9NoNoProspectNoNo32026-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Kirill SlepetsPhantoms (Phi)LW/RW271999-04-06RUSNo165 Lbs5 ft10NoNoN/ANoNo32026-05-12FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Mathieu JosephPhantoms (Phi)C/LW/RW291997-02-09CANNo190 Lbs6 ft2NoNoFree Agent2025-05-01NoNo32026-05-12FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Maxwell GildonPhantoms (Phi)D271999-05-17USANo194 Lbs6 ft3NoNoN/ANoNo32026-05-12FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Pascal LabergePhantoms (Phi)C281998-04-09CANNo172 Lbs6 ft1NoNoN/ANoNo22025-05-28FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Robin KovacsPhantoms (Phi)LW/RW291996-11-16SWENo192 Lbs6 ft0NoNoFree AgentNoNo12025-08-22FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Ruslan IskhakovPhantoms (Phi)C262000-07-22RUSYes152 Lbs5 ft8NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Timotej SillePhantoms (Phi)LW/RW311995-06-22SVKNo209 Lbs6 ft3NoNoFree AgentNoNo12025-08-22FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Zachary SenyshynPhantoms (Phi)C/LW/RW291997-03-30CANNo207 Lbs6 ft1NoNoN/ANoNo12024-05-29FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
arvid bergstromPhantoms (Phi)D212005-06-12SWEYes154 Lbs5 ft10NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
jake wisePhantoms (Phi)C262000-02-28USAYes190 Lbs5 ft10NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2027.95187 Lbs6 ft02.15867,500$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
125122
2Timotej SilleFilip Chlapik25122
325122
4Filip ChlapikTimotej Sille25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
125122
225122
325122
425122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
150122
2Zachary Senyshyn50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
250122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
2Zachary Senyshyn50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
250122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15012250122
2Zachary Senyshyn5012250122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
2Zachary Senyshyn50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
250122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Filip Chlapik, , Filip Chlapik
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , Zachary Senyshyn, ,
Gardien
#1 : Jon Gillies, #2 :


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
2 - 2025-08-2516Crunch-Phantoms-
3 - 2025-08-2623Condors-Phantoms-
6 - 2025-08-2944Islanders-Phantoms-
8 - 2025-08-3171Phantoms-StarsF-
10 - 2025-09-0286Wolf Pack-Phantoms-
11 - 2025-09-0390Phantoms-PenguinsF-
14 - 2025-09-06112Bears-Phantoms-
17 - 2025-09-09136Phantoms-Firebirds-
19 - 2025-09-11152BruinsF-Phantoms-
21 - 2025-09-13163Phantoms-BruinsF-
23 - 2025-09-15174Phantoms-Comets-
25 - 2025-09-17190Monsters-Phantoms-
28 - 2025-09-20214Wolves-Phantoms-
30 - 2025-09-22232Phantoms-Americans-
32 - 2025-09-24247Phantoms-SenatorsF-
33 - 2025-09-25257Checkers-Phantoms-
36 - 2025-09-28271Phantoms-Wolf Pack-
38 - 2025-09-30285Phantoms-Roadrunners-
39 - 2025-10-01294BruinsF-Phantoms-
43 - 2025-10-05320Eagles-Phantoms-
45 - 2025-10-07337Phantoms-Iowa Wild-
47 - 2025-10-09350Moose-Phantoms-
49 - 2025-10-11365Phantoms-Canucks-
51 - 2025-10-13380Moose-Phantoms-
53 - 2025-10-15392Phantoms-Islanders-
55 - 2025-10-17412Phantoms-Gulls-
56 - 2025-10-18418Wolf Pack-Phantoms-
59 - 2025-10-21439Phantoms-Firebirds-
61 - 2025-10-23451Islanders-Phantoms-
64 - 2025-10-26477Canucks-Phantoms-
66 - 2025-10-28486Phantoms-Wolves-
68 - 2025-10-30502Phantoms-PenguinsF-
69 - 2025-10-31517Wolves-Phantoms-
72 - 2025-11-03535Phantoms-Checkers-
74 - 2025-11-05549Checkers-Phantoms-
76 - 2025-11-07566Phantoms-Checkers-
78 - 2025-11-09580Rocket-Phantoms-
80 - 2025-11-11600Phantoms-PenguinsF-
81 - 2025-11-12610Phantoms-BruinsF-
83 - 2025-11-14620Bears-Phantoms-
86 - 2025-11-17640Reign-Phantoms-
87 - 2025-11-18654Phantoms-Rocket-
91 - 2025-11-22673Phantoms-Wolves-
92 - 2025-11-23682Islanders-Phantoms-
95 - 2025-11-26704Griffins-Phantoms-
97 - 2025-11-28720Phantoms-Rocket-
100 - 2025-12-01740PenguinsF-Phantoms-
102 - 2025-12-03752Phantoms-StarsF-
104 - 2025-12-05769Condors-Phantoms-
107 - 2025-12-08791Phantoms-Crunch-
109 - 2025-12-10803Admirals-Phantoms-
112 - 2025-12-13828Rocket-Phantoms-
114 - 2025-12-15845Phantoms-Wolf Pack-
116 - 2025-12-17860Americans-Phantoms-
118 - 2025-12-19872Phantoms-Barracuda-
120 - 2025-12-21890Phantoms-SenatorsF-
121 - 2025-12-22898Wranglers-Phantoms-
125 - 2025-12-26925Phantoms-Marlies-
126 - 2025-12-27931Firebirds-Phantoms-
130 - 2025-12-31958Monsters-Phantoms-
132 - 2026-01-02978Phantoms-Silver Knights-
134 - 2026-01-04991Gulls-Phantoms-
137 - 2026-01-071016Marlies-Phantoms-
139 - 2026-01-091031Phantoms-Comets-
142 - 2026-01-121049PenguinsF-Phantoms-
143 - 2026-01-131054Phantoms-Americans-
146 - 2026-01-161075Phantoms-Marlies-
147 - 2026-01-171087Comets-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2026-01-191103Phantoms-Moose-
152 - 2026-01-221119Firebirds-Phantoms-
154 - 2026-01-241134Phantoms-Moose-
156 - 2026-01-261149Marlies-Phantoms-
158 - 2026-01-281162Phantoms-Icehogs-
160 - 2026-01-301182Comets-Phantoms-
164 - 2026-02-031208SenatorsF-Phantoms-
166 - 2026-02-051220Phantoms-Thunderbirds-
168 - 2026-02-071228Phantoms-Islanders-
170 - 2026-02-091239Phantoms-Crunch-
172 - 2026-02-111254SenatorsF-Phantoms-
175 - 2026-02-141280Phantoms-Bears-
176 - 2026-02-151291Americans-Phantoms-
180 - 2026-02-191313Crunch-Phantoms-
181 - 2026-02-201323Phantoms-Bears-
183 - 2026-02-221343Phantoms-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
42 0 - 0%0$0$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,735,000$ 1,735,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 184 9,973$ 1,835,032$




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