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Phantoms
GP: 41 | W: 16 | L: 20 | OTL: 5 | P: 37
GF: 125 | GA: 149 | PP%: 21.48% | PK%: 81.36%
DG: Alexandre Fortier | Morale : 39 | Moyenne d’équipe : 62
Prochains matchs #663 vs Canucks
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Centre de jeu
Phantoms
16-20-5, 37pts
3
FINAL
1 Wolves
15-18-5, 35pts
Team Stats
L1SéquenceL1
10-9-1Fiche domicile8-10-3
6-11-4Fiche domicile7-8-2
3-6-1Derniers 10 matchs4-6-0
3.05Buts par match 2.63
3.63Buts contre par match 3.29
21.48%Pourcentage en avantage numérique16.81%
81.36%Pourcentage en désavantage numérique79.70%
Phantoms
16-20-5, 37pts
3
FINAL
4 PenguinsF
21-18-2, 44pts
Team Stats
L1SéquenceW2
10-9-1Fiche domicile11-9-1
6-11-4Fiche domicile10-9-1
3-6-1Derniers 10 matchs7-3-0
3.05Buts par match 3.54
3.63Buts contre par match 3.29
21.48%Pourcentage en avantage numérique22.66%
81.36%Pourcentage en désavantage numérique75.20%
Canucks
18-21-2, 38pts
2024-12-03
Phantoms
16-20-5, 37pts
Statistiques d’équipe
L3SéquenceL1
10-10-1Fiche domicile10-9-1
8-11-1Fiche visiteur6-11-4
5-4-110 derniers matchs3-6-1
3.00Buts par match 3.05
3.37Buts contre par match 3.05
21.31%Pourcentage en avantage numérique21.48%
80.82%Pourcentage en désavantage numérique81.36%
Wolf Pack
22-17-3, 47pts
2024-12-06
Phantoms
16-20-5, 37pts
Statistiques d’équipe
SOL1SéquenceL1
11-8-1Fiche domicile10-9-1
11-9-2Fiche visiteur6-11-4
5-4-110 derniers matchs3-6-1
3.14Buts par match 3.05
3.24Buts contre par match 3.05
21.37%Pourcentage en avantage numérique21.48%
80.15%Pourcentage en désavantage numérique81.36%
Phantoms
16-20-5, 37pts
2024-12-08
Wranglers
22-16-3, 47pts
Statistiques d’équipe
L1SéquenceL3
10-9-1Fiche domicile12-7-1
6-11-4Fiche visiteur10-9-2
3-6-110 derniers matchs5-5-0
3.05Buts par match 3.37
3.63Buts contre par match 3.37
21.48%Pourcentage en avantage numérique15.91%
81.36%Pourcentage en désavantage numérique82.35%
Meneurs d'équipe
Buts
Pascal Laberge
14
Passes
Rob O'Gara
24
Points
Rob O'Gara
30
Plus/Moins
Zachary Senyshyn
5
Victoires
Marek Langhamer
11
Pourcentage d’arrêts
Martin Jones
0.92

Statistiques d’équipe
Buts pour
125
3.05 GFG
Tirs pour
1102
26.88 Avg
Pourcentage en avantage numérique
21.5%
29 GF
Début de zone offensive
38.5%
Buts contre
149
3.63 GAA
Tirs contre
1283
31.29 Avg
Pourcentage en désavantage numérique
81.4%%
22 GA
Début de la zone défensive
42.0%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,489
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure18
Limite contact 46 / 56
Espoirs18


Historique d'équipe

Saison actuelle16-20-5 (37PTS)
Historique41-69-11 (0.339%)
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
1Kiefer SherwoodXX100.0064469672707072697767677168624856366402921,200,000$
2Pascal LabergeX96.006545857268747470736567666051486047630261750,000$
3Filip ChlapikX97.0073457370717273686470686966544860496302731,000,000$
4Kirill SlepetsXX100.006245927265727266676563696248466029610252750,000$
5Justin KeaX99.007657676876717462736362635959524547610302900,000$
6Erik Karlsson (foward)XX100.0059459373667270656065616260514656406103011,000,000$
7Jakub IzackyXX100.005942837065596461636160666256544922590312500,000$
8Peter ReginXX100.0058418964695862636559606558645521175803811,000,000$
9Jakub ZborilX100.0070458578738287734575637056594863426702722,000,000$
10Jordan SchmaltzX100.0061448970727478764573697456675949336703111,700,000$
11Rob O'GaraX100.0064439070747775694572646956615249506503111,300,000$
12Maxwell GildonX100.006444867268717267456666725648466040630252750,000$
13Tomas KundratekX100.006044937072707367456463686255463844620341800,000$
14Filip WesterlundX100.006751877268717159456161675747456036610252750,000$
Rayé
1Marc McLaughlinX95.0071458274737872746368746975605468306702521,500,000$
2Brendan PerliniXX95.0065458872737285727271717262865859436702811,700,000$
3Mitchell Chaffee (R)X100.007545927870727474617072746645456042650261900,000$
4Zachary SenyshynXXX97.0069578872717675666566697166544860466402731,200,000$
5Ivan ChekhovichXX93.006445907267727267676970626548466053630252750,000$
6Marek TvrdonXX100.0065458569756666696066666664474550516203111,000,000$
7Joel MustonenXX100.005343917166647661625961646062504834590321500,000$
8Kale ClagueX82.296245867269788467457168676056476037630261900,000$
9Brycen MartinX96.506450817272706862456162645454465731610282800,000$
10Ben ThomasX100.006747907069686958456264655750465719600283700,000$
11Ryan RehillX100.008472546575645656455754655452525320580292500,000$
MOYENNE D’ÉQUIPE98.00664785717071736658666568615649543863
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
1Martin Jones100.006550507675767577807175996036256303411,000,000$
Rayé
1Marek Langhamer93.00788580797675817474768150585323630302900,000$
2Criss de jambon (R)100.005050505050505050505050505050364303511,000,000$
MOYENNE D’ÉQUIPE97.6764626068676769676866696656462856
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Sullivan94639271999955USA554100,000$


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
1Rob O'GaraPhantoms (Phi)D4062430-1260362856163110.71%5588222.0627932116000083100%000000.6800000102
2Zachary SenyshynPhantoms (Phi)C/LW/RW351116275175316876205114.47%864918.5745917810003564046.09%58800000.8311100121
3Maxwell GildonPhantoms (Phi)D3861925-7320503846143613.04%5880121.093362198101168000%000000.6200000022
4Mitchell ChaffeePhantoms (Phi)LW3691524-416050429935749.09%1167718.8216716920112700139.77%17600000.7112000121
5Pascal LabergePhantoms (Phi)C4014923-260315385256316.47%869917.4914510720001414049.53%53700000.6600000110
6Ivan ChekhovichPhantoms (Phi)LW/RW3981321-1640252360145613.33%765916.9022410840001453146.63%17800100.6400000112
7Kiefer SherwoodPhantoms (Phi)LW/RW3312820-840173176205015.79%956917.2533619860000350052.43%10300010.7000000022
8Tomas KundratekPhantoms (Phi)D4131720-42035214012237.50%5283920.472241779000185000%000000.4800000001
9Brendan PerliniPhantoms (Phi)LW/RW28811191100203575215610.67%556020.0233613660000510147.69%6500000.6802000110
10Jakub ZborilPhantoms (Phi)D2561117-1016048293962215.38%3455622.273361771000055000%000000.6100000112
11Kale ClaguePhantoms (Phi)D2011314340228254164.00%2843321.65033959011244000%000000.6500000200
12Jordan SchmaltzPhantoms (Phi)D1921214210017171771011.76%3037119.56123928000035000%000000.7500000011
13Marek TvrdonPhantoms (Phi)LW/RW399514-8100263073144612.33%555514.24101318000081040.10%19200000.5000000300
14Filip ChlapikPhantoms (Phi)C4141014-2412062567221615.56%457414.02145415000170043.83%64800000.4900000110
15Kirill SlepetsPhantoms (Phi)LW/RW41459-124014285917326.78%558614.300114460000131147.06%3400000.3100000101
16Joel MustonenPhantoms (Phi)LW/RW2327910023139915.38%01677.2900000000000157.14%700001.0700000011
17Marc McLaughlinPhantoms (Phi)C15358012023142992010.34%428418.990222280001260040.69%20400000.5601000010
18Justin KeaPhantoms (Phi)C36448-316040302721614.81%23509.720113350000130053.79%26400000.4600000000
19Jesper BoqvistFlyersC1253826072639142012.82%122018.371017370001290046.89%30500000.7300000020
20Erik Karlsson (foward)Phantoms (Phi)LW/RW37437-182010132832514.29%43469.3610117000000041.67%4800000.4000000000
21Brycen MartinPhantoms (Phi)D30246-2527526141341015.38%2749316.4600007000013100%000000.2400010000
22Alexey ToropchenkoFlyersLW/RW1314512030132512294.00%420115.460006280000110033.33%2400000.5000000001
23Filip WesterlundPhantoms (Phi)D29044-62953517173150%3950117.3102219000027000%000000.1600100000
24Jakub IzackyPhantoms (Phi)LW/RW20011-5202112140%2974.8800003000000042.86%700000.2000000000
25Peter ReginPhantoms (Phi)LW/RW4000000001000%000.200000000000000%10000000000000
26Ben ThomasPhantoms (Phi)D6000-1140534400%79415.750000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne740124223347-14927315664641110630777511.21%4091217616.4529538222111781231482515545.99%338100110.5726210141817
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
1Marek LanghamerPhantoms (Phi)35111730.8823.651857011139610030.3333329302
2Martin JonesPhantoms (Phi)115220.9202.5454320232880001.0003922100
3Criss de jambonPhantoms (Phi)30100.7106.51830093100000010000
Statistiques d’équipe totales ou en moyenne49162050.8873.50248321145128000364141402


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)D281996-05-28CANNo187 Lbs6 ft1NoNoN/ANoNo32024-05-29FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Brendan Perlini (sur la masse salariale)Phantoms (Phi)LW/RW281996-04-27ENGNo211 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Brycen MartinPhantoms (Phi)D281996-05-09CANNo210 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Criss de jambonPhantoms (Phi)G351988-12-24CANYes170 Lbs6 ft0NoNoFree AgentNoNo12024-09-23FalseFalsePro & Farm1,000,000$0$0$No---------------------------
Erik Karlsson (foward)Phantoms (Phi)LW/RW301994-07-28SWENo160 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Filip ChlapikPhantoms (Phi)C271997-06-03CZENo207 Lbs6 ft2NoNoN/ANoNo32024-05-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Filip WesterlundPhantoms (Phi)D251999-04-17SWENo180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Ivan Chekhovich (sur la masse salariale)Phantoms (Phi)LW/RW251999-01-04RUSNo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$Yes750,000$--------750,000$--------No--------Lien
Jakub IzackyPhantoms (Phi)LW/RW311993-11-25CZENo187 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Jakub ZborilPhantoms (Phi)D271997-02-21CZENo200 Lbs6 ft0NoNoN/ANoNo22024-05-29FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Joel MustonenPhantoms (Phi)LW/RW321992-09-17FINNo174 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Jordan SchmaltzPhantoms (Phi)D311993-10-08USANo190 Lbs6 ft2NoNoTrade2024-04-30NoNo1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Justin KeaPhantoms (Phi)C301994-02-07CANNo215 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Kale Clague (sur la masse salariale)Phantoms (Phi)D261998-06-05CANNo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$Yes---------------------------Lien
Kiefer SherwoodPhantoms (Phi)LW/RW291995-03-21USANo194 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Kirill SlepetsPhantoms (Phi)LW/RW251999-04-06RUSNo165 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Marc McLaughlin (sur la masse salariale)Phantoms (Phi)C251999-07-26USANo205 Lbs6 ft0NoNoTrade2024-04-29NoNo2FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Marek Langhamer (sur la masse salariale)Phantoms (Phi)G301994-07-22CZENo190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$Yes900,000$--------900,000$--------No--------Lien
Marek TvrdonPhantoms (Phi)LW/RW311993-01-31SVKNo220 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Martin JonesPhantoms (Phi)G341990-01-10CANNo187 Lbs6 ft4NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Maxwell GildonPhantoms (Phi)D251999-05-17USANo194 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Mitchell ChaffeePhantoms (Phi)LW261998-01-26USAYes192 Lbs6 ft1NoNoFree AgentNoNo12024-06-20FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Pascal LabergePhantoms (Phi)C261998-04-09CANNo172 Lbs6 ft1NoNoN/ANoNo12023-12-30FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Peter ReginPhantoms (Phi)LW/RW381986-04-16DANNo194 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Rob O'GaraPhantoms (Phi)D311993-08-06USANo207 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Ryan RehillPhantoms (Phi)D291995-11-07CANNo215 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Tomas KundratekPhantoms (Phi)D341989-12-26CZENo200 Lbs6 ft1NoNoTrade2024-09-06NoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Zachary SenyshynPhantoms (Phi)C/LW/RW271997-03-30CANNo207 Lbs6 ft1NoNoN/ANoNo32024-05-29FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2829.04193 Lbs6 ft11.64991,071$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pascal Laberge25014
2Filip Chlapik25122
325122
425122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilRob O'Gara35122
2Maxwell GildonTomas Kundratek35122
3Filip Westerlund30122
4Jakub ZborilRob O'Gara0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
150122
250122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilRob O'Gara50122
2Maxwell GildonTomas Kundratek50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
150122
250122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilRob O'Gara50122
2Maxwell GildonTomas Kundratek50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Jakub ZborilRob O'Gara50122
250122Maxwell GildonTomas Kundratek50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
250122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilRob O'Gara50122
2Maxwell GildonTomas Kundratek50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub ZborilRob O'Gara
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakub ZborilRob O'Gara
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tomas Kundratek, Filip Westerlund, Tomas KundratekTomas Kundratek, Filip Westerlund
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 : Martin Jones


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
1Admirals11000000523110000005230000000000021.000591400454038336315405368201734162150.00%10100.00%0599129046.43%651140746.27%30565346.71%9246241014309546268
2Americans413000001116-52110000035-220200000811-320.2501121320045403831113154053682013935295814214.29%10280.00%1599129046.43%651140746.27%30565346.71%9246241014309546268
3Barracuda1000010045-1000000000001000010045-110.5004812004540383293154053682039111015000%40100.00%0599129046.43%651140746.27%30565346.71%9246241014309546268
4Bears1010000012-1000000000001010000012-100.0001230045403832131540536820225410700.00%20100.00%0599129046.43%651140746.27%30565346.71%9246241014309546268
5BruinsF10001000541000000000001000100054121.0005813004540383163154053682039131020100.00%5180.00%0599129046.43%651140746.27%30565346.71%9246241014309546268
6Checkers2110000045-12110000045-10000000000020.5004591045403835131540536820561612406116.67%6266.67%0599129046.43%651140746.27%30565346.71%9246241014309546268
7Comets1010000035-21010000035-20000000000000.000369004540383263154053682033881411100.00%4175.00%0599129046.43%651140746.27%30565346.71%9246241014309546268
8Condors11000000413000000000001100000041321.00048120045403834631540536820336910700.00%20100.00%0599129046.43%651140746.27%30565346.71%9246241014309546268
9Firebirds403000011021-112020000049-520100001612-610.125101828104540383125315405368201394534691119.09%16475.00%0599129046.43%651140746.27%30565346.71%9246241014309546268
10Icehogs1000010023-1000000000001000010023-110.50024600454038312315405368203911414200.00%20100.00%0599129046.43%651140746.27%30565346.71%9246241014309546268
11Iowa Wild11000000422000000000001100000042221.000471100454038327315405368202710217400.00%10100.00%0599129046.43%651140746.27%30565346.71%9246241014309546268
12Islanders2020000058-3000000000002020000058-300.00059140045403835531540536820602014263266.67%5180.00%0599129046.43%651140746.27%30565346.71%9246241014309546268
13Marlies422000001314-12110000089-12110000055040.50013243711454038394315405368201173324551417.14%12283.33%0599129046.43%651140746.27%30565346.71%9246241014309546268
14Monsters1010000057-2000000000001010000057-200.0005101500454038325315405368204923919100.00%2150.00%0599129046.43%651140746.27%30565346.71%9246241014309546268
15Moose1010000026-41010000026-40000000000000.00024600454038338315405368202772146116.67%10100.00%0599129046.43%651140746.27%30565346.71%9246241014309546268
16PenguinsF312000001015-521100000711-41010000034-120.33310192900454038369315405368209732224114642.86%11372.73%0599129046.43%651140746.27%30565346.71%9246241014309546268
17Rocket5210011014122310001107522110000077070.7001422360045403831303154053682015663349617529.41%14192.86%0599129046.43%651140746.27%30565346.71%9246241014309546268
18SenatorsF21000100871110000005321000010034-130.750815230045403836131540536820431910426116.67%5180.00%0599129046.43%651140746.27%30565346.71%9246241014309546268
19Silver Knights11000000321110000003210000000000021.00035800454038324315405368203398212150.00%4175.00%0599129046.43%651140746.27%30565346.71%9246241014309546268
20StarsF1010000026-41010000026-40000000000000.000246004540383253154053682037136125240.00%3166.67%0599129046.43%651140746.27%30565346.71%9246241014309546268
21Wolf Pack11000000523110000005230000000000021.000581300454038338315405368202942157342.86%10100.00%0599129046.43%651140746.27%30565346.71%9246241014309546268
22Wolves21100000541000000000002110000054120.50056110045403834331540536820522118385120.00%7185.71%0599129046.43%651140746.27%30565346.71%9246241014309546268
Total41142001411125149-242099001105870-1221511013016779-12370.45112522234731454038311023154053682012834072756621352921.48%1182281.36%1599129046.43%651140746.27%30565346.71%9246241014309546268
_Since Last GM Reset41142001411125149-242099001105870-1221511013016779-12370.45112522234731454038311023154053682012834072756621352921.48%1182281.36%1599129046.43%651140746.27%30565346.71%9246241014309546268
_Vs Conference3310180121196121-251778001104860-1216310011014861-13270.409961672633145403838783154053682010093212235381122522.32%991980.81%1599129046.43%651140746.27%30565346.71%9246241014309546268
_Vs Division1828000015558-310240000027270804000012831-350.139559515021454038346331540536820550179119311581017.24%52982.69%1599129046.43%651140746.27%30565346.71%9246241014309546268

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4137L11252223471102128340727566231
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4114201411125149
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
209901105870
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2151113016779
Derniers 10 matchs
WLOTWOTL SOWSOL
261100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1352921.48%1182281.36%1
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
315405368204540383
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
599129046.43%651140746.27%30565346.71%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
9246241014309546268


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 - 2024-09-038Phantoms4Islanders5LSommaire du match
3 - 2024-09-0520Rocket1Phantoms3WSommaire du match
6 - 2024-09-0841Phantoms1Bears2LSommaire du match
8 - 2024-09-1055Americans2Phantoms3WSommaire du match
11 - 2024-09-1371Phantoms3Marlies5LSommaire du match
13 - 2024-09-1589Marlies6Phantoms2LSommaire du match
15 - 2024-09-17109Phantoms5Americans7LSommaire du match
16 - 2024-09-18118Phantoms3SenatorsF4LXSommaire du match
18 - 2024-09-20128Checkers2Phantoms3WSommaire du match
21 - 2024-09-23151Firebirds4Phantoms2LSommaire du match
23 - 2024-09-25166Phantoms3Firebirds4LXXSommaire du match
25 - 2024-09-27180PenguinsF9Phantoms4LSommaire du match
27 - 2024-09-29200SenatorsF3Phantoms5WSommaire du match
30 - 2024-10-02220Phantoms3Rocket5LSommaire du match
34 - 2024-10-06241Moose6Phantoms2LSommaire du match
36 - 2024-10-08257Comets5Phantoms3LSommaire du match
39 - 2024-10-11277Phantoms4Iowa Wild2WSommaire du match
41 - 2024-10-13290Phantoms4Rocket2WSommaire du match
42 - 2024-10-14302Marlies3Phantoms6WSommaire du match
45 - 2024-10-17321Phantoms3Firebirds8LSommaire du match
47 - 2024-10-19335Silver Knights2Phantoms3WSommaire du match
49 - 2024-10-21350Phantoms4Condors1WSommaire du match
51 - 2024-10-23363StarsF6Phantoms2LSommaire du match
53 - 2024-10-25378Phantoms2Marlies0WSommaire du match
55 - 2024-10-27392Phantoms5Monsters7LSommaire du match
57 - 2024-10-29407Rocket3Phantoms2LXSommaire du match
60 - 2024-11-01424PenguinsF2Phantoms3WSommaire du match
62 - 2024-11-03441Phantoms3Americans4LSommaire du match
65 - 2024-11-06462Rocket1Phantoms2WXXSommaire du match
67 - 2024-11-08477Phantoms2Icehogs3LXSommaire du match
70 - 2024-11-11492Admirals2Phantoms5WSommaire du match
72 - 2024-11-13507Phantoms5BruinsF4WXSommaire du match
74 - 2024-11-15525Checkers3Phantoms1LSommaire du match
77 - 2024-11-18549Phantoms1Islanders3LSommaire du match
79 - 2024-11-20559Americans3Phantoms0LSommaire du match
81 - 2024-11-22579Phantoms4Barracuda5LXSommaire du match
83 - 2024-11-24591Firebirds5Phantoms2LSommaire du match
85 - 2024-11-26609Phantoms2Wolves3LSommaire du match
87 - 2024-11-28622Wolf Pack2Phantoms5WSommaire du match
89 - 2024-11-30641Phantoms3Wolves1WSommaire du match
90 - 2024-12-01654Phantoms3PenguinsF4LSommaire du match
92 - 2024-12-03663Canucks-Phantoms-
95 - 2024-12-06683Wolf Pack-Phantoms-
97 - 2024-12-08697Phantoms-Wranglers-
99 - 2024-12-10713Phantoms-Eagles-
100 - 2024-12-11724Moose-Phantoms-
103 - 2024-12-14746Phantoms-SenatorsF-
105 - 2024-12-16753Crunch-Phantoms-
108 - 2024-12-19772Phantoms-Bears-
110 - 2024-12-21788Comets-Phantoms-
112 - 2024-12-23807Phantoms-Reign-
114 - 2024-12-25816Phantoms-StarsF-
115 - 2024-12-26825Bears-Phantoms-
118 - 2024-12-29849BruinsF-Phantoms-
122 - 2025-01-02879BruinsF-Phantoms-
124 - 2025-01-04887Phantoms-BruinsF-
126 - 2025-01-06909Gulls-Phantoms-
127 - 2025-01-07921Phantoms-Checkers-
130 - 2025-01-10941Islanders-Phantoms-
132 - 2025-01-12954Phantoms-PenguinsF-
134 - 2025-01-14971Crunch-Phantoms-
136 - 2025-01-16980Phantoms-Barracuda-
137 - 2025-01-17994Phantoms-Silver Knights-
139 - 2025-01-191011Islanders-Phantoms-
143 - 2025-01-231035Thunderbirds-Phantoms-
146 - 2025-01-261063SenatorsF-Phantoms-
148 - 2025-01-281076Phantoms-Comets-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2025-01-291083Phantoms-Checkers-
151 - 2025-01-311098Phantoms-Comets-
152 - 2025-02-011110Silver Knights-Phantoms-
155 - 2025-02-041129Wolves-Phantoms-
161 - 2025-02-101161Admirals-Phantoms-
163 - 2025-02-121181Phantoms-Moose-
165 - 2025-02-141191Roadrunners-Phantoms-
166 - 2025-02-151198Phantoms-Crunch-
169 - 2025-02-181222Phantoms-Wolf Pack-
171 - 2025-02-201228Griffins-Phantoms-
173 - 2025-02-221242Phantoms-Moose-
175 - 2025-02-241252Phantoms-Wolf Pack-
176 - 2025-02-251256Phantoms-Crunch-
178 - 2025-02-271276Wolves-Phantoms-
182 - 2025-03-031300Bears-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance30,48719,295
Assistance PCT76.22%96.48%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
21 2489 - 82.97% 101,057$2,021,141$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,169,892$ 2,520,000$ 2,520,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,121,246$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,122,198$ 95 14,162$ 1,345,390$




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 Senyshyn110363874-247211015527413.14%24196217.84914234900046146.81%00.7517
2Jesper Boqvist86274067-9267218224411.07%12168119.55612183700010446.72%00.8016
3Jakub Zboril104145367-287214211011711.97%121213920.577815530000100%00.6300
4Ivan Chekhovich110263662-3626979022111.76%13199618.1576134100016245.30%00.6217
5Rob O'Gara96124961-176090671309.23%111208821.7541317740000120%00.5800

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 Langhamer82264190.8813.7945082128523950230.67731
2Dan Blackburn3882420.8763.781919201219740120.60010
3Martin Jones115220.9202.5454320232880001.0003
4Mattias Modig102100.9053.13402002122000000
5Criss de jambon30100.7106.51830093100000

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
1641142001411125149-242099001105870-1221511013016779-123712522234731454038311023154053682012834072756621352921.48%1182281.36%1599129046.43%651140746.27%30565346.71%9246241014309546268
Total Saison régulière123326904657343471-12861183001336169230-6162143903321174241-679534361896151129100105163313101711581102803913111986519483737219.30%3698876.15%21855393047.20%2026423247.87%946202646.69%2805189730269291633802
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