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Phantoms
GP: 4 | W: 1 | L: 3 | OTL: 0 | P: 2
GF: 14 | GA: 20 | PP%: 20.83% | PK%: 61.54%
DG: Bela Michalski | Morale : 97 | Moyenne d’équipe : N/A
Prochains matchs #79 vs Norsemen

Centre de jeu
Phantoms
1-3-0, 2pts
4
FINAL
6 Americans
2-1-0, 4pts
Team Stats
L2SéquenceW1
1-1-0Fiche domicile1-1-0
0-2-0Fiche domicile1-0-0
1-3-0Derniers 10 matchs2-1-0
3.50Buts par match 4.67
5.00Buts contre par match 3.67
20.83%Pourcentage en avantage numérique41.67%
61.54%Pourcentage en désavantage numérique76.47%
Phantoms
1-3-0, 2pts
1
FINAL
6 Norsemen
3-0-1, 7pts
Team Stats
L2SéquenceW1
1-1-0Fiche domicile2-0-0
0-2-0Fiche domicile1-0-1
1-3-0Derniers 10 matchs3-0-1
3.50Buts par match 3.50
5.00Buts contre par match 2.00
20.83%Pourcentage en avantage numérique40.00%
61.54%Pourcentage en désavantage numérique100.00%
Norsemen
3-0-1, 7pts
Jour 11
Phantoms
1-3-0, 2pts
Statistiques d’équipe
W1SéquenceL2
2-0-0Fiche domicile1-1-0
1-0-1Fiche visiteur0-2-0
3-0-110 derniers matchs1-3-0
3.50Buts par match 3.50
2.00Buts contre par match 3.50
40.00%Pourcentage en avantage numérique20.83%
100.00%Pourcentage en désavantage numérique61.54%
Phantoms
1-3-0, 2pts
Jour 14
Senators
0-1-1, 1pts
Statistiques d’équipe
L2SéquenceL1
1-1-0Fiche domicile0-1-1
0-2-0Fiche visiteur0-0-0
1-3-010 derniers matchs0-1-1
3.50Buts par match 2.50
5.00Buts contre par match 2.50
20.83%Pourcentage en avantage numérique30.00%
61.54%Pourcentage en désavantage numérique83.33%
Whalers
2-2-0, 4pts
Jour 15
Phantoms
1-3-0, 2pts
Statistiques d’équipe
W1SéquenceL2
1-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur0-2-0
2-2-010 derniers matchs1-3-0
3.50Buts par match 3.50
3.25Buts contre par match 3.50
28.57%Pourcentage en avantage numérique20.83%
57.14%Pourcentage en désavantage numérique61.54%
Meneurs d'équipe
Buts
Matt Martin
3
Passes
Patrick Brown
3
Points
Patrick Brown
4
Plus/Moins
Patrick Brown
2
Victoires
Josef Korenar
1
Pourcentage d’arrêts
Josef Korenar
0.861

Statistiques d’équipe
Buts pour
14
3.50 GFG
Tirs pour
132
33.00 Avg
Pourcentage en avantage numérique
20.8%
5 GF
Début de zone offensive
37.7%
Buts contre
20
5.00 GAA
Tirs contre
153
38.25 Avg
Pourcentage en désavantage numérique
61.5%%
5 GA
Début de la zone défensive
37.0%
Informations de l'équipe

Directeur généralBela Michalski
EntraîneurJim Hiller
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance5,336
Billets de saison800


Informations de la formation

Équipe Pro30
Équipe Mineure20
Limite contact 50 / 65
Espoirs13


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
1Brady StonehouseXX100.0060606060607070606060606060445709600203650,000$
2Dalton BancroftXX100.0060606060607070606060606060465809700233650,000$
3Patrick BrownXX100.0073509170827792696470687365717309600321650,000$
4Kurtis MacDermidXX100.0074648561887577656165656965576109800301650,000$
5Alexandre DoucetXXX100.0060606060607070606060606060495609600221771,750$
6Elliot DesnoyersXX100.0060606060607070606060606060505809600221735,000$
7Danil GushchinXX100.0060508973627991696168696765465809600221866,250$
8Joey AndersonXX100.00665095627879856764656578655564086002611,700,000$
9Matt MartinXX100.0080589263817579676265657265756709300351650,000$
10Matthew SopXX100.0060606060607070606060606060415609600211650,000$
11Israel MianscumXXX100.0060606060607070606060606060405509700211650,000$
12Jeremy WilmerXX100.0060606060607070606060606060405509600212650,000$
13Ben RobertsonX100.0060606060607070606060606060445709300203650,000$
14Grant HuttonX100.0062508561808083652566647365576609300293650,000$
15Logan MaillouxX100.00625084708183926525666471664156090002121,312,500$
16Billy SweezeyX100.0060606060607070606060606060626409500283650,000$
17Tom Willander (R)X100.00606060606070706060606060604455097001931,500,000$
18Sam Dickinson (R)X100.00606060606070706060606060604655096001831,500,000$
Rayé
1Riley ThompsonX100.0060606060607070606060606060425609500223650,000$
2Santeri HuovilaX100.0060606060607070606060606060445709500203650,000$
3Hudson SchandorXX100.0060606060607070606060606060405509500241650,000$
4Tyson BarrieX100.00635092867485777825756569656967095003316,270,000$
5Jimi SuomiX100.0060606060607070606060606060405509500211675,000$
6Lucas OlvestadX100.0060606060607070606060606060405509500221650,000$
7Luca Munzenberger (R)X100.0060606060607070606060606060485509500222750,000$
8Viktor Hurtig (R)X100.0060606060607070606060606060465509500222650,000$
MOYENNE D’ÉQUIPE100.006258696366737463566262646249590950
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
1Josef Korenar97.006070706060606060606060576609600261682,500$
2Georgi Romanov100.006070706060606060606060415509600251682,500$
Rayé
1Lawton Zacher100.006070706060606060606060445909700213650,000$
2Jack Campbell100.0060707060606060606060606974097003211,850,000$
MOYENNE D’ÉQUIPE99.25607070606060606060606053640970
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jim Hiller7989809169731CAN561600,000$


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
1Patrick BrownPhantoms (PHI)C/RW41342005717395.88%05313.2800003000010055.32%4701001.5100000001
2Kurtis MacDermidPhantoms (PHI)LW/RW4224-4322099155413.33%16516.2922441400007100%330001.2300202010
3Danil GushchinPhantoms (PHI)LW/RW413410061193105.26%25714.2800000000000042.86%731001.4000000100
4Matt MartinPhantoms (PHI)LW/RW43140175831331023.08%55914.750000000000000%341001.3600010100
5Dalton BancroftPhantoms (PHI)LW/RW42131755863333.33%25814.5511217000020044.44%900001.0300100000
6Alexandre DoucetPhantoms (PHI)C/LW/RW4033115156106450%36917.31011114000190052.63%9532000.8700102000
7Israel MianscumPhantoms (PHI)C/LW/RW4033-61210857550%27117.87011013000170047.44%7811000.8400200000
8Brady StonehousePhantoms (PHI)LW/RW4112-210109972814.29%07619.22011114000090050.00%411000.5200002000
9Joey AndersonPhantoms (PHI)LW/RW41120004640325.00%0307.580000000000000%010001.3200000000
10Logan MaillouxPhantoms (PHI)D4022-222104111110%67418.5901101300006000%032000.5400020000
11Matthew SopPhantoms (PHI)C/LW4112-2004451420.00%0389.7000000000000050.00%2200001.0300000000
12Grant HuttonPhantoms (PHI)D4011-2554710240%710827.1300021600009000%043000.1800010000
13Elliot DesnoyersPhantoms (PHI)LW/RW4101-3957454520.00%25814.64101214000000060.00%500000.3400001000
14Billy SweezeyPhantoms (PHI)D4011-42020691230%57819.70011015000011000%002000.2500211000
15Jeremy WilmerPhantoms (PHI)LW/RW4101-615152254320.00%26015.13101413000000125.00%830000.3300003000
16Tom WillanderPhantoms (PHI)D401102715642200%16817.1801101200002000%001000.2900102000
17Ben RobertsonPhantoms (PHI)D4000-475636200%59423.500001500017000%00500000010000
18Sam DickinsonPhantoms (PHI)D4000055143100%35513.960000000000000%01200000100000
Statistiques d’équipe totales ou en moyenne72142438-30203145100106132477710.61%46117816.375914161580003761149.11%2812722000.640010613211
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
1Josef KorenarPhantoms (PHI)41300.8615.48219002014482000040001
2Georgi RomanovPhantoms (PHI)10001.00002000095000004000
Statistiques d’équipe totales ou en moyenne51300.8695.0223900201538700044001


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
Alexandre DoucetPhantoms (PHI)C/LW/RW222002-01-12CANNo187 Lbs6 ft0NoNoTrade2025-07-02NoNo12025-09-08FalseFalsePro & Farm771,750$743,015$77,175$74,301$No---------------------------
Ben RobertsonPhantoms (PHI)D202004-09-18USANo192 Lbs5 ft9NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Billy SweezeyPhantoms (PHI)D281996-02-06USANo206 Lbs6 ft1NoNoAssign ManuallyNoNo32025-11-08FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Brady StonehousePhantoms (PHI)LW/RW202004-08-06CANNo194 Lbs5 ft8NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Dalton BancroftPhantoms (PHI)LW/RW232001-02-26CANNo212 Lbs6 ft1NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Danil GushchinPhantoms (PHI)LW/RW222002-02-06RUSNo165 Lbs5 ft8NoNoN/ANoNo12024-08-31FalseFalsePro & Farm866,250$833,996$86,625$83,400$No---------------------------
Elliot DesnoyersPhantoms (PHI)LW/RW222002-01-21CANNo183 Lbs5 ft11NoNoN/ANoNo12024-08-31FalseFalsePro & Farm735,000$707,633$73,500$70,763$No---------------------------
Georgi RomanovPhantoms (PHI)G251999-12-15RUSNo207 Lbs6 ft5NoNoN/ANoNo12025-09-08FalseFalsePro & Farm682,500$657,088$68,250$65,709$No---------------------------
Grant HuttonPhantoms (PHI)D291995-07-25USANo210 Lbs6 ft3NoNoAssign ManuallyNoNo32025-11-04FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Hudson SchandorPhantoms (PHI)C/LW242000-09-29CANNo100 Lbs4 ft0NoNoFree AgentNoNo12025-07-04FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Israel MianscumPhantoms (PHI)C/LW/RW212003-04-18CANNo198 Lbs6 ft1NoNoTrade2025-07-02NoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Jack CampbellPhantoms (PHI)G321992-01-09USANo207 Lbs6 ft3NoNoTrade2025-11-10NoNo1FalseFalsePro & Farm1,850,000$1,781,117$185,000$178,112$No---------------------------
Jeremy WilmerPhantoms (PHI)LW/RW212003-08-16USANo100 Lbs4 ft0NoNoFree AgentNoNo22025-07-04FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
Jimi SuomiPhantoms (PHI)D212003-03-01FINNo165 Lbs5 ft10NoNoTrade2025-07-04NoNo1FalseFalsePro & Farm675,000$649,867$67,500$64,987$No---------------------------
Joey AndersonPhantoms (PHI)LW/RW261998-06-19USANo207 Lbs6 ft0NoNoN/ANoNo12024-08-31FalseFalsePro & Farm1,700,000$1,636,702$170,000$163,670$No---------------------------
Josef KorenarPhantoms (PHI)G261998-01-31CZENo185 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm682,500$657,088$68,250$65,709$No---------------------------
Kurtis MacDermidPhantoms (PHI)LW/RW301994-03-25CANNo233 Lbs6 ft5NoNoTrade2025-11-10NoNo12025-06-26FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Lawton ZacherPhantoms (PHI)G212003-12-01USANo179 Lbs6 ft0NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Logan MaillouxPhantoms (PHI)D212003-04-15CANNo213 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,312,500$1,263,630$131,250$126,363$No1,312,500$--------1,312,500$--------No--------
Luca MunzenbergerPhantoms (PHI)D222002-11-24GERYes201 Lbs6 ft0NoNoProspectNoNo22025-08-20FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$--------750,000$--------No--------
Lucas OlvestadPhantoms (PHI)D222002-03-19SWENo190 Lbs6 ft1NoNoFree AgentNoNo12025-07-05FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Matt Martin (contrat à 1 volet)Phantoms (PHI)LW/RW351989-05-08CANNo215 Lbs6 ft3NoNoFree AgentNoNo12025-06-09FalseFalsePro & Farm650,000$625,538$650,000$625,538$No---------------------------
Matthew SopPhantoms (PHI)C/LW212003-02-04CANNo183 Lbs6 ft0NoNoTrade2025-07-02NoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Patrick Brown (contrat à 1 volet)Phantoms (PHI)C/RW321992-05-29USANo218 Lbs6 ft1NoNoFree AgentNoNo12025-06-26FalseFalsePro & Farm650,000$625,538$650,000$625,538$No---------------------------
Riley ThompsonPhantoms (PHI)C222002-08-17CANNo216 Lbs6 ft2NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Sam DickinsonPhantoms (PHI)D182006-06-07CANYes209 Lbs6 ft1NoNoDraftNoNo32025-08-20FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Santeri HuovilaPhantoms (PHI)LW202004-07-16FINNo172 Lbs5 ft10NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Tom WillanderPhantoms (PHI)D192005-02-09SWEYes190 Lbs5 ft11NoNoProspectNoNo32025-08-20FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Tyson BarriePhantoms (PHI)D331991-07-26CANNo197 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm6,270,000$6,036,543$627,000$603,654$No---------------------------
Viktor HurtigPhantoms (PHI)D222002-04-28SWEYes198 Lbs6 ft4NoNoProspectNoNo22025-08-20FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3024.00191 Lbs5 ft111.801,011,517$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brady StonehouseAlexandre DoucetMatt Martin28122
2Kurtis MacDermidIsrael MianscumJeremy Wilmer28122
3Dalton BancroftPatrick BrownDanil Gushchin25122
4Elliot DesnoyersMatthew SopJoey Anderson19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben RobertsonGrant Hutton28122
2Logan MaillouxBilly Sweezey28122
3Tom WillanderSam Dickinson25122
4Ben RobertsonGrant Hutton19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brady StonehouseAlexandre DoucetElliot Desnoyers50122
2Kurtis MacDermidIsrael MianscumJeremy Wilmer50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tom WillanderGrant Hutton50122
2Logan MaillouxBilly Sweezey50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alexandre DoucetBrady Stonehouse50122
2Israel MianscumKurtis MacDermid50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tom WillanderGrant Hutton50122
2Logan MaillouxBilly Sweezey50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alexandre Doucet50122Ben RobertsonGrant Hutton50122
2Israel Mianscum50122Logan MaillouxBilly Sweezey50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alexandre DoucetBrady Stonehouse50122
2Israel MianscumKurtis MacDermid50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ben RobertsonGrant Hutton50122
2Logan MaillouxBilly Sweezey50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brady StonehouseAlexandre DoucetMatt MartinBen RobertsonGrant Hutton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brady StonehouseAlexandre DoucetJeremy WilmerBen RobertsonGrant Hutton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Martin, Elliot Desnoyers, Danil GushchinDalton Bancroft, Elliot DesnoyersDalton Bancroft
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Billy Sweezey, Tom Willander, Sam DickinsonBilly SweezeyBilly Sweezey, Tom Willander
Tirs de pénalité
Alexandre Doucet, Israel Mianscum, Brady Stonehouse, Kurtis MacDermid, Matthew Sop
Gardien
#1 : Josef Korenar, #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
1Americans1010000046-2000000000001010000046-200.0004610001760253951420371664235120.00%6350.00%05210649.06%5210450.00%347147.89%824385407136
2Norsemen1010000016-5000000000001010000016-500.0001230017603739514203694021400.00%000%05210649.06%5210450.00%347147.89%824385407136
3Wolves21100000981211000009810000000000020.500916250017607039514208021995615426.67%7271.43%05210649.06%5210450.00%347147.89%824385407136
Total413000001420-62110000098120200000512-720.25014243800176013239514201534620310024520.83%13561.54%05210649.06%5210450.00%347147.89%824385407136
_Since Last GM Reset413000001420-62110000098120200000512-720.25014243800176013239514201534620310024520.83%13561.54%05210649.06%5210450.00%347147.89%824385407136
_Vs Conference413000001420-62110000098120200000512-720.25014243800176013239514201534620310024520.83%13561.54%05210649.06%5210450.00%347147.89%824385407136

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
42L21424381321534620310000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
41300001420
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000098
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2020000512
Derniers 10 matchs
WLOTWOTL SOWSOL
130000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
24520.83%13561.54%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
39514201760
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
5210649.06%5210450.00%347147.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
824385407136


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
318Wolves5Phantoms4LSommaire du match
533Wolves3Phantoms5WSommaire du match
642Phantoms4Americans6LSommaire du match
750Phantoms1Norsemen6LSommaire du match
1179Norsemen-Phantoms-
14100Phantoms-Senators-
15110Whalers-Phantoms-
16120Phantoms-Grisards-
19143Titans-Phantoms-
20146Phantoms-Grisards-
24174Grisards-Phantoms-
26186Phantoms-Moose-
29205Wolves-Phantoms-
33232Crunch-Phantoms-
34238Phantoms-Whalers-
38265Moose-Phantoms-
41287Phantoms-Penguins-
43298Titans-Phantoms-
46321Roadrunners-Phantoms-
48335Phantoms-Bills-
50350Phantoms-Penguins-
51361Grisards-Phantoms-
54380Phantoms-Reign-
55392White Wolves-Phantoms-
58416Phantoms-Gulls-
60424Moose-Phantoms-
62444Phantoms-Moose-
64454Crunch-Phantoms-
66464Phantoms-Senators-
69489Norsemen-Phantoms-
73513Phantoms-Admirals-
74524Gorillas-Phantoms-
77542Phantoms-Titans-
79553Blood Miners-Phantoms-
81573Phantoms-Norsemen-
83583Wolves-Phantoms-
85598Phantoms-Norsemen-
87613Phantoms-Blossom Bytes-
89624Titans-Phantoms-
91641Phantoms-Rams-
92653Rams-Phantoms-
95671Phantoms-Grisards-
97687Octopus-Phantoms-
99698Phantoms-Moose-
101717Phantoms-Wolf Pack-
102726Blossom Bytes-Phantoms-
104740Phantoms-Blossom Bytes-
106754Whalers-Phantoms-
109771Phantoms-Whalers-
111785Gulls-Phantoms-
114811Phantoms-Wolf Pack-
115818Penguins-Phantoms-
118837Phantoms-Blood Miners-
120849Gulls-Phantoms-
122866Phantoms-Whalers-
124879Redhawks-Phantoms-
126902Phantoms-Reign-
128913Admirals-Phantoms-
130928Phantoms-Bears-
132944Silver Knights-Phantoms-
134957Phantoms-Grisards-
137976Eagles-Phantoms-
138987Phantoms-Bears-
1411009Phantoms-Americans-
1421018Admirals-Phantoms-
1451039Phantoms-Bulldogs-
1461048Phantoms-Americans-
1471053Rams-Phantoms-
1511079Griffins-Phantoms-
1531100Phantoms-Wolves-
1541106Phantoms-Rocket-
1561117Bears-Phantoms-
1591140Phantoms-Senators-
1601149Bears-Phantoms-
1641174Phantoms-Mountaineers-
1651182Americans-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1681205Americans-Phantoms-
1731233Wolf Pack-Phantoms-
1751248Phantoms-Saints-
1781263Phantoms-Wolves-
1801275Senators-Phantoms-
1861307Senators-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets4520
Assistance3,5227,149
Assistance PCT70.44%64.99%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 5336 - 66.69% 180,882$361,764$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
130,487$ 2,904,550$ 2,904,550$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
18,641$ 130,487$ 27 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
7,054,398$ 181 18,641$ 3,374,021$




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