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Phantoms
GP: 1 | W: 0 | L: 1 | OTL: 0 | P: 0
GF: 5 | GA: 6 | PP%: 0.00% | PK%: 20.00%
DG: Bela Michalski | Morale : 98 | Moyenne d’équipe : N/A
Prochains matchs #25 vs Americans

Centre de jeu
Phantoms
0-1-0, 0pts
5
FINAL
6 Wolves
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
5.00Buts par match 6.00
6.00Buts contre par match 5.00
0.00%Pourcentage en avantage numérique80.00%
20.00%Pourcentage en désavantage numérique100.00%
Americans
1-0-0, 2pts
Jour 3
Phantoms
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-1-0
6.00Buts par match 5.00
5.00Buts contre par match 5.00
50.00%Pourcentage en avantage numérique0.00%
66.67%Pourcentage en désavantage numérique20.00%
Phantoms
0-1-0, 0pts
Jour 5
Norsemen
1-0-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-0-0Fiche domicile0-0-0
0-1-0Fiche visiteur1-0-0
0-1-010 derniers matchs1-0-0
5.00Buts par match 3.00
6.00Buts contre par match 3.00
0.00%Pourcentage en avantage numérique16.67%
20.00%Pourcentage en désavantage numérique0.00%
Sens
0-1-1, 1pts
Jour 7
Phantoms
0-1-0, 0pts
Statistiques d’équipe
SOL1SéquenceL1
0-1-0Fiche domicile0-0-0
0-0-1Fiche visiteur0-1-0
0-1-110 derniers matchs0-1-0
3.50Buts par match 5.00
4.50Buts contre par match 5.00
42.86%Pourcentage en avantage numérique0.00%
66.67%Pourcentage en désavantage numérique20.00%
Meneurs d'équipe
Buts
Danil Gushchin
1
Passes
Danil Gushchin
2
Points
Danil Gushchin
3
Plus/Moins
Danil Gushchin
2

Statistiques d’équipe
Buts pour
5
5.00 GFG
Tirs pour
29
29.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
34.9%
Buts contre
6
6.00 GAA
Tirs contre
33
33.00 Avg
Pourcentage en désavantage numérique
20.0%%
4 GA
Début de la zone défensive
38.6%
Informations de l'équipe

Directeur généralBela Michalski
EntraîneurJim Hiller
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1Alexandre Doucet
Assistant #2Grant Hutton


Informations de l’aréna

Capacité8,500
Assistance
Billets de saison850


Informations de la formation

Équipe Pro33
Équipe Mineure19
Limite contact 52 / 65
Espoirs10


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
1Santeri HuovilaX100.0060606060607070606060606060506109800212650,000$
2Alexander PerevalovXX100.0060606060607070606060606060466109800242900,000$
3Samu BauX100.0060606060607070606060606060546309800212850,000$
4Riley PattersonXXX100.0060606060607070606060606060526209800193900,000$
5Christian FitzgeraldXXX100.0060606060607070606060606060485909800233850,000$
6Atley CalvertXXX100.0060606060607070606060606060546209800223850,000$
7Alexandre Doucet (A)XXX100.0060606060607070606060606060556009800232810,338$
8Danil GushchinXX99.0060606060607070606060606060526209800232909,563$
9Chase PearsonXXX100.00606060606070706060606060606066095002812,500,000$
10Matthew SopXX100.0060606060607070606060606060476009800222800,000$
11Israel MianscumXXX100.0060606060607070606060606060465909800222800,000$
12Hudson SchandorXX100.0060606060607070606060606060465909500252800,000$
13Ben RobertsonX100.0060606060607070606060606060506109800212650,000$
14Grant Hutton (A)X100.0060606060607070606060606060637009800302650,000$
15Albert WikmanX100.0060606060607070606060606060506109600203900,000$
16Ethan FrischX99.0060606060607070606060606060546209800253650,000$
17Billy SweezeyX100.0060606060607070606060606060686809500292650,000$
18Luca MunzenbergerX100.0060606060607070606060606060545909800231750,000$
Rayé
1Dalton BancroftXX100.0060606060607070606060606060526209800242650,000$
2Erik BargholtzXXX89.0060606060607070606060606060526208800242650,000$
3Kirill DolzhenkovXX100.0060606060607070606060606060526209500242850,000$
4Porter MartoneXX100.00606060606070706060606060605463095001931,850,000$
5Jack FinleyXX100.00745687658676846975656672655662095002331,150,000$
6Jeremy WilmerXX100.0060606060607070606060606060465909500221650,000$
7Tristan SarslandX100.0060606060607070606060606060526209800212650,000$
8Ludvig LaftonX100.0060606060607070606060606060465909800193800,000$
9Ty SmithX100.00606060606070706060606060606470095002522,587,500$
10Jimi SuomiX100.0060606060607070606060606060465909800222800,000$
11Lucas OlvestadX100.0060606060607070606060606060465909800232800,000$
12Viktor HurtigX100.0060606060607070606060606060525909800231650,000$
MOYENNE D’ÉQUIPE99.536060616061707060616060606052620970
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
1Lawton Zacher99.006070706060606060606060536509800222650,000$
2Georgi Romanov100.0060707060606060606060605061098002621,466,625$
Rayé
1Olivier Rodrigue100.006070706060606060606060646909600253900,000$
MOYENNE D’ÉQUIPE99.67607070606060606060606056650970
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jim Hiller7884779270751CAN571600,000$


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
1Danil GushchinPhantoms (PHI)LW/RW11232003253220.00%02222.0700003000000062.50%800002.7200000010
2Samu BauPhantoms (PHI)C11120202531333.33%01818.5800000000000060.71%2810002.1500000000
3Alexander PerevalovPhantoms (PHI)LW/RW1011100100000%01212.25000000000000100.00%210001.6300000000
4Riley PattersonPhantoms (PHI)C/LW/RW110110001100100.00%11414.450000300000000%100001.3800000000
5Christian FitzgeraldPhantoms (PHI)C/LW/RW11011550220150.00%11616.9500002000010050.00%211001.1800100000
6Atley CalvertPhantoms (PHI)C/LW/RW1011175311010%01616.6700002000010058.82%1700001.2000001000
7Alexandre DoucetPhantoms (PHI)C/LW/RW1011100213000%01818.4300013000020050.00%200001.0800000000
8Billy SweezeyPhantoms (PHI)D101111210121100%11313.880000000000000%000001.4400011000
9Israel MianscumPhantoms (PHI)C/LW/RW11011551030133.33%11515.8200001000000028.57%710001.2600001000
10Hudson SchandorPhantoms (PHI)C/LW1011155000120%01111.8500000000010050.00%410001.6900010000
11Santeri HuovilaPhantoms (PHI)LW1000055534300%01717.1300001000000066.67%30000000100000
12Ben RobertsonPhantoms (PHI)D100011210112100%02222.230000300002000%00000000101000
13Erik BargholtzPhantoms (PHI)C/LW/RW1000000020000%000.920000000000000%10000000000000
14Grant HuttonPhantoms (PHI)D100021010221200%02222.830000200001000%00000000101000
15Albert WikmanPhantoms (PHI)D100001010210000%51717.970000200002000%10100000110000
16Ethan FrischPhantoms (PHI)D1000100213010%12626.420000400002000%00100000000000
17Matthew SopPhantoms (PHI)C/LW1000075120010%01313.1300003000000057.14%70000000001000
18Luca MunzenbergerPhantoms (PHI)D1000100110000%01313.900000100000000%00200000000000
Statistiques d’équipe totales ou en moyenne185813158070272729121217.24%1029516.420001390000160055.42%8355000.8800536010
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
1Lawton ZacherPhantoms (PHI)10100.8186.10590063318000010000
Statistiques d’équipe totales ou en moyenne10100.8186.1059006331800010000


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 Salaire restantPlafond 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
Albert WikmanPhantoms (PHI)D202005-03-10SWENo198 Lbs5 ft11NoNoAssign ManuallyNoNo32026-07-17FalseFalsePro & Farm900,000$889,655$90,000$88,966$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Alexander PerevalovPhantoms (PHI)LW/RW242001-07-17RUSNo100 Lbs4 ft0NoNoAssign ManuallyNoNo22026-07-17FalseFalsePro & Farm900,000$889,655$90,000$88,966$No900,000$--------900,000$--------No--------
Alexandre DoucetPhantoms (PHI)C/LW/RW232002-01-12CANNo187 Lbs6 ft0NoNoTrade2025-07-02NoNo22026-08-02FalseFalsePro & Farm810,338$801,024$81,034$80,103$No810,338$--------810,338$--------No--------
Atley CalvertPhantoms (PHI)C/LW/RW222003-09-17CANNo194 Lbs5 ft11NoNoAssign ManuallyNoNo32026-08-10FalseFalsePro & Farm850,000$840,230$85,000$84,023$No850,000$850,000$-------850,000$850,000$-------NoNo-------
Ben RobertsonPhantoms (PHI)D212004-09-18USANo192 Lbs5 ft9NoNoAssign ManuallyNoNo22025-11-16FalseFalsePro & Farm650,000$642,529$65,000$64,253$No650,000$--------650,000$--------No--------
Billy SweezeyPhantoms (PHI)D291996-02-06USANo206 Lbs6 ft1NoNoAssign ManuallyNoNo22025-11-08FalseFalsePro & Farm650,000$642,529$65,000$64,253$No650,000$--------650,000$--------No--------
Chase PearsonPhantoms (PHI)C/LW/RW281997-08-23CANNo202 Lbs6 ft3NoNoTrade2026-08-21NoNo12025-07-04FalseFalsePro & Farm2,500,000$2,471,264$250,000$247,126$No---------------------------
Christian FitzgeraldPhantoms (PHI)C/LW/RW232002-05-31CANNo100 Lbs4 ft0NoNoAssign ManuallyNoNo32026-08-10FalseFalsePro & Farm850,000$840,230$85,000$84,023$No850,000$850,000$-------850,000$850,000$-------NoNo-------
Dalton BancroftPhantoms (PHI)LW/RW242001-02-26CANNo212 Lbs6 ft1NoNoAssign ManuallyNoNo22025-11-16FalseFalsePro & Farm650,000$642,529$65,000$64,253$No650,000$--------650,000$--------No--------
Danil GushchinPhantoms (PHI)LW/RW232002-02-06RUSNo165 Lbs5 ft8NoNoN/ANoNo22026-08-02FalseFalsePro & Farm909,563$899,108$90,956$89,911$No909,563$--------909,563$--------No--------
Erik Bargholtz (sur la masse salariale)Phantoms (PHI)C/LW/RW242001-04-12USANo100 Lbs4 ft0NoNoAssign ManuallyNoNo22026-03-29FalseFalsePro & Farm650,000$642,529$65,000$64,253$No650,000$--------650,000$--------No--------
Ethan FrischPhantoms (PHI)D252000-10-29USANo192 Lbs5 ft11NoNoAssign ManuallyNoNo32026-08-02FalseFalsePro & Farm650,000$642,529$65,000$64,253$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Georgi RomanovPhantoms (PHI)G261999-12-15RUSNo207 Lbs6 ft5NoNoN/ANoNo22026-08-02FalseFalsePro & Farm1,466,625$1,449,767$146,662$144,976$No1,466,625$--------1,466,625$--------No--------
Grant HuttonPhantoms (PHI)D301995-07-25USANo210 Lbs6 ft3NoNoAssign ManuallyNoNo22025-11-04FalseFalsePro & Farm650,000$642,529$65,000$64,253$No650,000$--------650,000$--------No--------
Hudson SchandorPhantoms (PHI)C/LW252000-09-29CANNo100 Lbs4 ft0NoNoFree AgentNoNo22026-08-02FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Israel MianscumPhantoms (PHI)C/LW/RW222003-04-18CANNo198 Lbs6 ft1NoNoTrade2025-07-02NoNo22026-08-02FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Jack FinleyPhantoms (PHI)C/RW232002-09-02USANo227 Lbs6 ft6NoNoTrade2026-08-21NoNo32026-08-01FalseFalsePro & Farm1,150,000$1,136,782$115,000$113,678$No1,150,000$1,150,000$-------1,150,000$1,150,000$-------NoNo-------
Jeremy WilmerPhantoms (PHI)LW/RW222003-08-16USANo100 Lbs4 ft0NoNoFree AgentNoNo12025-07-04FalseFalsePro & Farm650,000$642,529$65,000$64,253$No---------------------------
Jimi SuomiPhantoms (PHI)D222003-03-01FINNo165 Lbs5 ft10NoNoTrade2025-07-04NoNo22026-08-02FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Kirill DolzhenkovPhantoms (PHI)LW/RW242001-07-17RUSNo100 Lbs4 ft0NoNoAssign ManuallyNoNo22026-07-17FalseFalsePro & Farm850,000$840,230$85,000$84,023$No850,000$--------850,000$--------No--------
Lawton ZacherPhantoms (PHI)G222003-12-01USANo179 Lbs6 ft0NoNoAssign ManuallyNoNo22025-11-16FalseFalsePro & Farm650,000$642,529$65,000$64,253$No650,000$--------650,000$--------No--------
Luca MunzenbergerPhantoms (PHI)D232002-11-24GERNo201 Lbs6 ft0NoNoProspectNoNo12025-08-20FalseFalsePro & Farm750,000$741,379$75,000$74,138$No---------------------------
Lucas OlvestadPhantoms (PHI)D232002-03-19SWENo190 Lbs6 ft1NoNoFree AgentNoNo22026-08-02FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Ludvig LaftonPhantoms (PHI)D192006-01-11NORNo194 Lbs6 ft0NoNoAssign ManuallyNoNo32026-07-18FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Matthew SopPhantoms (PHI)C/LW222003-02-04CANNo183 Lbs6 ft0NoNoTrade2025-07-02NoNo22026-08-02FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Olivier RodriguePhantoms (PHI)G252000-07-06CANNo159 Lbs6 ft1NoNoAssign ManuallyNoNo32026-09-29FalseFalsePro & Farm900,000$889,655$90,000$88,966$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Porter MartonePhantoms (PHI)LW/RW192006-10-26CANNo209 Lbs6 ft1NoNoAssign ManuallyNoNo32026-07-18FalseFalsePro & Farm1,850,000$1,828,736$185,000$182,874$No1,850,000$1,850,000$-------1,850,000$1,850,000$-------NoNo-------
Riley PattersonPhantoms (PHI)C/LW/RW192006-05-22CANNo192 Lbs5 ft11NoNoAssign ManuallyNoNo32026-07-17FalseFalsePro & Farm900,000$889,655$90,000$88,966$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Samu BauPhantoms (PHI)C212004-04-20FINNo216 Lbs6 ft3NoNoAssign ManuallyNoNo22026-07-17FalseFalsePro & Farm850,000$840,230$85,000$84,023$No850,000$--------850,000$--------No--------
Santeri HuovilaPhantoms (PHI)LW212004-07-16FINNo172 Lbs5 ft10NoNoAssign ManuallyNoNo22025-11-16FalseFalsePro & Farm650,000$642,529$65,000$64,253$No650,000$--------650,000$--------No--------
Tristan SarslandPhantoms (PHI)D212004-02-25USANo203 Lbs5 ft11NoNoAssign ManuallyNoNo22026-03-29FalseFalsePro & Farm650,000$642,529$65,000$64,253$No650,000$--------650,000$--------No--------
Ty SmithPhantoms (PHI)D252000-03-24CANNo180 Lbs5 ft11NoNoWaiverNoNo22026-08-02FalseFalsePro & Farm2,587,500$2,557,759$258,750$255,776$No2,587,500$--------2,587,500$--------No--------
Viktor HurtigPhantoms (PHI)D232002-04-28SWENo198 Lbs6 ft4NoNoProspectNoNo12025-08-20FalseFalsePro & Farm650,000$642,529$65,000$64,253$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3323.12177 Lbs5 ft82.15938,607$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander PerevalovRiley Patterson28122
2Alexandre DoucetAtley CalvertChristian Fitzgerald28122
3Danil GushchinSamu BauSanteri Huovila25122
4Hudson SchandorMatthew SopIsrael Mianscum19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben RobertsonGrant Hutton32122
2Albert WikmanEthan Frisch30122
3Billy SweezeyLuca Munzenberger28122
4Ben RobertsonGrant Hutton10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Christian FitzgeraldMatthew SopRiley Patterson50122
2Alexandre DoucetAtley CalvertDanil Gushchin50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben RobertsonGrant Hutton50122
2Albert WikmanEthan Frisch50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Hudson SchandorChristian Fitzgerald50122
2Atley CalvertAlexandre Doucet50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben RobertsonGrant Hutton50122
2Albert WikmanEthan Frisch50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Christian Fitzgerald50122Ben RobertsonGrant Hutton50122
2Atley Calvert50122Albert WikmanEthan Frisch50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Hudson SchandorChristian Fitzgerald50122
2Atley CalvertAlexandre Doucet50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben RobertsonGrant Hutton50122
2Albert WikmanEthan Frisch50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Christian FitzgeraldRiley PattersonIsrael MianscumBen RobertsonGrant Hutton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Christian FitzgeraldSanteri HuovilaBen RobertsonGrant Hutton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Israel Mianscum, Danil Gushchin, Matthew SopIsrael Mianscum, Danil GushchinIsrael Mianscum
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ethan Frisch, Billy Sweezey, Luca MunzenbergerEthan FrischEthan Frisch, Billy Sweezey
Tirs de pénalité
Riley Patterson, Christian Fitzgerald, Atley Calvert, Alexandre Doucet, Israel Mianscum
Gardien
#1 : Lawton Zacher, #2 : Georgi Romanov


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
1Wolves1010000056-1000000000001010000056-100.00058130031102912710033108027500.00%5420.00%0172958.62%163250.00%132259.09%18819102110
Total1010000056-1000000000001010000056-100.00058130031102912710033108027500.00%5420.00%0172958.62%163250.00%132259.09%18819102110
_Since Last GM Reset1010000056-1000000000001010000056-100.00058130031102912710033108027500.00%5420.00%0172958.62%163250.00%132259.09%18819102110
_Vs Conference1010000056-1000000000001010000056-100.00058130031102912710033108027500.00%5420.00%0172958.62%163250.00%132259.09%18819102110

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
10L15813293310802700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
101000056
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
101000056
Derniers 10 matchs
WLOTWOTL SOWSOL
010000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
500.00%5420.00%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
1271003110
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
172958.62%163250.00%132259.09%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
18819102110


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
211Phantoms5Wolves6LSommaire du match
325Americans-Phantoms-
539Phantoms-Norsemen-
756Sens-Phantoms-
1079Whalers-Phantoms-
1298Americans-Phantoms-
15116Phantoms-Sens-
17133Moose-Phantoms-
18138Phantoms-Grisards-
21164Norsemen-Phantoms-
23180Phantoms-Whalers-
26197Phantoms-Wolves-
28204Bears-Phantoms-
31227Sens-Phantoms-
33241Phantoms-Gulls-
35259Admirals-Phantoms-
37269Phantoms-Sens-
39286Phantoms-Rams-
41303Gorillas-Phantoms-
43322Phantoms-Grisards-
45336Sens-Phantoms-
47350Phantoms-Crunch-
50366Pens-Phantoms-
53389Norsemen-Phantoms-
55401Phantoms-Eagles-
57417Phantoms-Grisards-
58430Titans-Phantoms-
62453White Wolves-Phantoms-
64472Phantoms-Blossom Bytes-
66486Saints-Phantoms-
68499Phantoms-Whalers-
70519Griffins-Phantoms-
72530Phantoms-Bears-
74543Phantoms-Rocket-
76559Rams-Phantoms-
78574Phantoms-Bills-
80590Mountaineers-Phantoms-
82608Phantoms-Blood Miners-
84621Redhawks-Phantoms-
87639Phantoms-Pens-
89653Gulls-Phantoms-
92679Moose-Phantoms-
94694Phantoms-Rams-
96708Phantoms-Norsemen-
97717Titans-Phantoms-
101743Bulldogs-Phantoms-
103760Phantoms-Americans-
105773Phantoms-Norsemen-
106784Admirals-Phantoms-
109808Whalers-Phantoms-
111824Phantoms-Americans-
113840Wolves-Phantoms-
115854Phantoms-Gulls-
117868Phantoms-Admirals-
119876Phantoms-Octopus-
120887Whalers-Phantoms-
123904Phantoms-Reign-
124914Wolf Pack-Phantoms-
127937Phantoms-Wolf Pack-
129947Phantoms-Titans-
130954Bears-Phantoms-
133980Blossom Bytes-Phantoms-
1361002Phantoms-Roadrunners-
1371012Americans-Phantoms-
1401035Moose-Phantoms-
1421050Phantoms-Pens-
1441066Gulls-Phantoms-
1491096Wolves-Phantoms-
1511113Phantoms-Silver Knights-
1531126Americans-Phantoms-
1561143Phantoms-Wolves-
1581160Wolf Pack-Phantoms-
1631188Grisards-Phantoms-
1651194Phantoms-Blossom Bytes-
1661204Phantoms-Wolves-
1671209Phantoms-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1701230Grisards-Phantoms-
1711232Phantoms-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité35005000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 0 - 0%0$0$8500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
42,125$ 3,032,402$ 3,032,402$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
20,876$ 42,125$ 32 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 172 20,876$ 3,590,672$




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