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Phantoms
GP: 8 | W: 2 | L: 5 | OTL: 1 | P: 5
GF: 24 | GA: 32 | PP%: 13.33% | PK%: 94.74%
DG: Alexandre Fortier | Morale : 45 | Moyenne d’équipe : 62
Prochains matchs #128 vs Checkers
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Centre de jeu
Phantoms
2-5-1, 5pts
5
FINAL
7 Americans
5-2-1, 11pts
Team Stats
OTL1SéquenceSOL1
2-1-0Fiche domicile4-0-1
0-4-1Fiche domicile1-2-0
2-5-1Derniers 10 matchs5-2-1
3.00Buts par match 4.25
4.00Buts contre par match 3.25
13.33%Pourcentage en avantage numérique9.52%
94.74%Pourcentage en désavantage numérique77.78%
Phantoms
2-5-1, 5pts
3
FINAL
4 SenatorsF
6-2-0, 12pts
Team Stats
OTL1SéquenceOTW1
2-1-0Fiche domicile4-0-0
0-4-1Fiche domicile2-2-0
2-5-1Derniers 10 matchs6-2-0
3.00Buts par match 4.38
4.00Buts contre par match 3.75
13.33%Pourcentage en avantage numérique32.26%
94.74%Pourcentage en désavantage numérique67.74%
Checkers
5-2-1, 11pts
2024-09-19
Phantoms
2-5-1, 5pts
Statistiques d’équipe
W2SéquenceOTL1
2-1-1Fiche domicile2-1-0
3-1-0Fiche visiteur0-4-1
5-2-110 derniers matchs2-5-1
3.38Buts par match 3.00
3.13Buts contre par match 3.00
17.24%Pourcentage en avantage numérique13.33%
77.78%Pourcentage en désavantage numérique94.74%
Firebirds
4-2-1, 9pts
2024-09-22
Phantoms
2-5-1, 5pts
Statistiques d’équipe
W1SéquenceOTL1
2-1-1Fiche domicile2-1-0
2-1-0Fiche visiteur0-4-1
4-2-110 derniers matchs2-5-1
3.29Buts par match 3.00
2.71Buts contre par match 3.00
21.74%Pourcentage en avantage numérique13.33%
73.68%Pourcentage en désavantage numérique94.74%
Phantoms
2-5-1, 5pts
2024-09-24
Firebirds
4-2-1, 9pts
Statistiques d’équipe
OTL1SéquenceW1
2-1-0Fiche domicile2-1-1
0-4-1Fiche visiteur2-1-0
2-5-110 derniers matchs4-2-1
3.00Buts par match 3.29
4.00Buts contre par match 3.29
13.33%Pourcentage en avantage numérique21.74%
94.74%Pourcentage en désavantage numérique73.68%
Meneurs d'équipe
Buts
Kiefer Sherwood
5
Passes
Kale Clague
7
Points
Kiefer Sherwood
8
Plus/Moins
Tomas Kundratek
2
Victoires
Marek Langhamer
1
Pourcentage d’arrêts
Martin Jones
0.923

Statistiques d’équipe
Buts pour
24
3.00 GFG
Tirs pour
218
27.25 Avg
Pourcentage en avantage numérique
13.3%
4 GF
Début de zone offensive
40.4%
Buts contre
32
4.00 GAA
Tirs contre
236
29.50 Avg
Pourcentage en désavantage numérique
94.7%%
1 GA
Début de la zone défensive
39.0%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,547
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 56
Espoirs18


Historique d'équipe

Saison actuelle2-5-1 (5PTS)
Historique27-54-9 (0.300%)
Apparitions en séries éliminatoires 1
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
1Jesper BoqvistX100.006345917470809172677572687061486651660251900,000$
2Alexey ToropchenkoXX100.007646807472727873666370766351476847650251900,000$
3Kiefer SherwoodXX100.0064469672707072697767677168624856476402921,200,000$
4Pascal LabergeX100.006545857268747470736567666051486047630261750,000$
5Ivan ChekhovichXX100.006445907267727267676970626548466047630252750,000$
6Filip ChlapikX100.0073457370717273686470686966544860476302731,000,000$
7Marek TvrdonXX100.0065458569756666696066666664474550476203111,000,000$
8Kirill SlepetsXX100.006245927265727266676563696248466047610252750,000$
9Justin KeaX100.007657676876717462736362635959524545610302900,000$
10Erik Karlsson (foward)XX100.0059459373667270656065616260514656476103011,000,000$
11Jakub IzackyXX100.005942837065596461636160666256544945590302500,000$
12Joel MustonenXX100.005343917166647661625961646062504844590321500,000$
13Jakub ZborilX100.0070458578738287734575637056594863476702722,000,000$
14Rob O'GaraX100.0064439070747775694572646956615249476503111,300,000$
15Kale ClagueX100.006245867269788467457168676056476047630261900,000$
16Tomas KundratekX100.006044937072707367456463686255463842620341800,000$
17Brycen MartinX100.006450817272706862456162645454465742610282800,000$
18Ben ThomasX100.006747907069686958456264655750465742600283700,000$
Rayé
1Mitchell Chaffee (R)X90.107545927870727474617072746645456038650261900,000$
2Peter ReginXX100.0058418964695862636559606558645521425803811,000,000$
3Jordan SchmaltzX79.4761448970727478764573697456675949396703011,700,000$
4Maxwell GildonX95.196444867268717267456666725648466039630252750,000$
5Filip WesterlundX100.006751877268717159456161675747456050610252750,000$
6Ryan RehillX100.008472546575645656455754655452525342580282500,000$
MOYENNE D’ÉQUIPE98.50664785717071736657666568605549544562
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 Jones97.006548507675767577807175996036396303411,000,000$
2Marek Langhamer96.00788580797675817474768150585339630302900,000$
Rayé
MOYENNE D’ÉQUIPE96.5072676578767678767774787559453963
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
1Kiefer SherwoodPhantoms (Phi)LW/RW8538-5204122541420.00%115819.771239260000130056.67%3000001.0100000001
2Kale ClaguePhantoms (Phi)D8178-1008491411.11%817822.25022325011116000%000000.9000000100
3Rob O'GaraPhantoms (Phi)D81670005411179.09%1017722.14000728000016000%000000.7900000000
4Tomas KundratekPhantoms (Phi)D8066200739240%814718.4700025000010000%000000.8100000000
5Ivan ChekhovichPhantoms (Phi)LW/RW8224-80065111818.18%013116.43101321000061050.00%2600000.6100000000
6Justin KeaPhantoms (Phi)C7314-240121470642.86%19914.2800009000000050.52%9700000.8000000000
7Alexey ToropchenkoPhantoms (Phi)LW/RW8134-120148127168.33%212015.06000216000040038.89%1800000.6600000000
8Erik Karlsson (foward)Phantoms (Phi)LW/RW8224-10032111518.18%19812.3700000000000025.00%400000.8100000000
9Kirill SlepetsPhantoms (Phi)LW/RW812302011215266.67%112215.36000110000031071.43%700000.4900000100
10Mitchell ChaffeePhantoms (Phi)LW72130201262061710.00%011816.900004230110110030.00%4000000.5100000010
11Jakub ZborilPhantoms (Phi)D8033-960137142100%1317822.25011626000014000%000000.3400000000
12Marek TvrdonPhantoms (Phi)LW/RW8213-52045123816.67%18510.7400003000000066.67%300000.7000000100
13Pascal LabergePhantoms (Phi)C8112-500916144137.14%014217.791011200000120044.38%16900000.2800000000
14Maxwell GildonPhantoms (Phi)D6112-2204430433.33%510317.2600001510113000%000000.3900000001
15Jesper BoqvistPhantoms (Phi)C5112-10021312688.33%18917.990002130001120048.74%11900000.4400000010
16Filip ChlapikPhantoms (Phi)C8022-44056134100%09411.7602225000000036.56%9300000.4300000000
17Zachary SenyshynFlyersC/LW/RW51120004512178.33%07314.7411228000010030.56%3600000.5400000000
18Jakub IzackyPhantoms (Phi)LW/RW6011-220212020%1549.0600001000000050.00%400000.3700000000
19Brycen MartinPhantoms (Phi)D2011-460302020%23316.920000000000000%000000.5900000000
20Joel MustonenPhantoms (Phi)LW/RW2011000001010%0147.320000000000000%000001.3700000000
21Filip WesterlundPhantoms (Phi)D7000-2115743060%912117.290000400003000%00000000100000
22Jordan SchmaltzPhantoms (Phi)D3000-520214210%55919.750002200007000%00000000000000
Statistiques d’équipe totales ou en moyenne146244670-554751271322224715910.81%69240316.4648124627012331412044.27%64600000.5800100322
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
1Martin JonesPhantoms (Phi)21000.9232.0060002260000026000
2Marek LanghamerPhantoms (Phi)71510.8614.1442000292090010062001
Statistiques d’équipe totales ou en moyenne92510.8683.874810031235001088001


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 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 Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Alexey ToropchenkoPhantoms (Phi)LW/RW251999-06-25No187 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Ben ThomasPhantoms (Phi)D281996-05-28No187 Lbs6 ft1NoNoN/ANoNo32024-05-29Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------Lien
Brycen MartinPhantoms (Phi)D281996-05-09No210 Lbs6 ft2NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Erik Karlsson (foward)Phantoms (Phi)LW/RW301994-07-28No160 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Filip ChlapikPhantoms (Phi)C271997-06-03No207 Lbs6 ft2NoNoN/ANoNo32024-05-29Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Filip WesterlundPhantoms (Phi)D251999-04-17No180 Lbs5 ft11NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Ivan ChekhovichPhantoms (Phi)LW/RW251999-01-04No185 Lbs5 ft10NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Jakub IzackyPhantoms (Phi)LW/RW301993-11-25No187 Lbs6 ft0NoNoN/ANoNo2Pro & Farm500,000$0$0$No500,000$--------No--------Lien
Jakub ZborilPhantoms (Phi)D271997-02-21No200 Lbs6 ft0NoNoN/ANoNo22024-05-29Pro & Farm2,000,000$0$0$No2,000,000$--------No--------Lien
Jesper BoqvistPhantoms (Phi)C251998-10-30No180 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Joel MustonenPhantoms (Phi)LW/RW321992-09-17No174 Lbs5 ft10NoNoN/ANoNo1Pro & Farm500,000$0$0$No------------------Lien
Jordan Schmaltz (sur la masse salariale)Phantoms (Phi)D301993-10-08No190 Lbs6 ft2NoNoTrade2024-04-30NoNo1Pro & Farm1,700,000$0$0$Yes------------------Lien
Justin KeaPhantoms (Phi)C301994-02-07No215 Lbs6 ft5NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Kale ClaguePhantoms (Phi)D261998-06-05No192 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Kiefer SherwoodPhantoms (Phi)LW/RW291995-03-21No194 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
Kirill SlepetsPhantoms (Phi)LW/RW251999-04-06No165 Lbs5 ft10NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Marek LanghamerPhantoms (Phi)G301994-07-22No190 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Marek TvrdonPhantoms (Phi)LW/RW311993-01-31No220 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Martin JonesPhantoms (Phi)G341990-01-10No187 Lbs6 ft4NoNoFree AgentNoNo12024-08-20Pro & Farm1,000,000$0$0$No------------------Lien
Maxwell GildonPhantoms (Phi)D251999-05-17No194 Lbs6 ft3NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Mitchell Chaffee (sur la masse salariale)Phantoms (Phi)LW261998-01-26Yes192 Lbs6 ft1NoNoFree AgentNoNo12024-06-20Pro & Farm900,000$0$0$Yes------------------Lien
Pascal LabergePhantoms (Phi)C261998-04-09No172 Lbs6 ft1NoNoN/ANoNo12023-12-30Pro & Farm750,000$0$0$No------------------Lien
Peter ReginPhantoms (Phi)LW/RW381986-04-16No194 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Rob O'GaraPhantoms (Phi)D311993-08-06No207 Lbs6 ft4NoNoN/ANoNo1Pro & Farm1,300,000$0$0$No------------------Lien
Ryan RehillPhantoms (Phi)D281995-11-07No215 Lbs6 ft2NoNoN/ANoNo2Pro & Farm500,000$0$0$No500,000$--------No--------Lien
Tomas KundratekPhantoms (Phi)D341989-12-26 09:45:10No200 Lbs6 ft1NoNoTrade2024-09-06NoNo1Pro & Farm800,000$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2628.65192 Lbs6 ft11.58928,846$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexey ToropchenkoJesper BoqvistKirill Slepets25014
2Ivan ChekhovichPascal LabergeKiefer Sherwood25122
3Marek TvrdonFilip ChlapikJoel Mustonen25122
4Jakub IzackyJustin KeaErik Karlsson (foward)25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilRob O'Gara35122
2Kale ClagueTomas Kundratek35122
3Brycen MartinBen Thomas30122
4Jakub ZborilRob O'Gara0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexey ToropchenkoJesper BoqvistKiefer Sherwood50122
2Ivan ChekhovichPascal LabergeKirill Slepets50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilRob O'Gara50122
2Kale ClagueTomas Kundratek50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jesper BoqvistAlexey Toropchenko50122
2Pascal LabergeIvan Chekhovich50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilRob O'Gara50122
2Kale ClagueTomas Kundratek50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jesper Boqvist50122Jakub ZborilRob O'Gara50122
2Pascal Laberge50122Kale ClagueTomas Kundratek50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jesper BoqvistAlexey Toropchenko50122
2Pascal LabergeIvan Chekhovich50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilRob O'Gara50122
2Kale ClagueTomas Kundratek50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexey ToropchenkoJesper BoqvistKiefer SherwoodJakub ZborilRob O'Gara
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexey ToropchenkoJesper BoqvistKiefer SherwoodJakub ZborilRob O'Gara
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Pascal Laberge, Filip Chlapik, Marek TvrdonPascal Laberge, Filip ChlapikPascal Laberge
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tomas Kundratek, Brycen Martin, Ben ThomasTomas KundratekTomas Kundratek, Brycen Martin
Tirs de pénalité
Jesper Boqvist, Alexey Toropchenko, Kiefer Sherwood, Ivan Chekhovich, Pascal Laberge
Gardien
#1 : Martin Jones, #2 : Marek Langhamer


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Americans2110000089-1110000003211010000057-220.500816240011940606373793681617247114.29%50100.00%111926045.77%11425145.42%5313339.85%1861261915810451
2Bears1010000012-1000000000001010000012-100.0001230011940216373793225410700.00%20100.00%011926045.77%11425145.42%5313339.85%1861261915810451
3Islanders1010000045-1000000000001010000045-100.00047110011940376373793301061522100.00%30100.00%011926045.77%11425145.42%5313339.85%1861261915810451
4Marlies20200000511-61010000026-41010000035-200.0005914101194041637379364171036700.00%50100.00%011926045.77%11425145.42%5313339.85%1861261915810451
5Rocket11000000312110000003120000000000021.000369001194027637379326118184125.00%30100.00%011926045.77%11425145.42%5313339.85%1861261915810451
6SenatorsF1000010034-1000000000001000010034-110.5003580011940326373793268222300.00%110.00%011926045.77%11425145.42%5313339.85%1861261915810451
Total825001002432-83210000089-1504001001623-750.31324456910119402186373793236674712530413.33%19194.74%111926045.77%11425145.42%5313339.85%1861261915810451
_Since Last GM Reset825001002432-83210000089-1504001001623-750.31324456910119402186373793236674712530413.33%19194.74%111926045.77%11425145.42%5313339.85%1861261915810451
_Vs Conference825001002432-83210000089-1504001001623-750.31324456910119402186373793236674712530413.33%19194.74%111926045.77%11425145.42%5313339.85%1861261915810451
_Vs Division601000001925-63000000089-1301000001116-500.0001936551011940160637379318452371002129.52%14192.86%111926045.77%11425145.42%5313339.85%1861261915810451

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
85OTL1244569218236674712510
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
82501002432
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321000089
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
50401001623
Derniers 10 matchs
WLOTWOTL SOWSOL
250100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
30413.33%19194.74%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
637379311940
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
11926045.77%11425145.42%5313339.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1861261915810451


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 - 2024-09-028Phantoms4Islanders5ALSommaire du match
3 - 2024-09-0420Rocket1Phantoms3BWSommaire du match
6 - 2024-09-0741Phantoms1Bears2ALSommaire du match
8 - 2024-09-0955Americans2Phantoms3BWSommaire du match
11 - 2024-09-1271Phantoms3Marlies5ALSommaire du match
13 - 2024-09-1489Marlies6Phantoms2BLSommaire du match
15 - 2024-09-16109Phantoms5Americans7ALSommaire du match
16 - 2024-09-17118Phantoms3SenatorsF4ALXSommaire du match
18 - 2024-09-19128Checkers-Phantoms-
21 - 2024-09-22151Firebirds-Phantoms-
23 - 2024-09-24166Phantoms-Firebirds-
25 - 2024-09-26180PenguinsF-Phantoms-
27 - 2024-09-28200SenatorsF-Phantoms-
30 - 2024-10-01220Phantoms-Rocket-
34 - 2024-10-05241Moose-Phantoms-
36 - 2024-10-07257Comets-Phantoms-
39 - 2024-10-10277Phantoms-Iowa Wild-
41 - 2024-10-12290Phantoms-Rocket-
42 - 2024-10-13302Marlies-Phantoms-
45 - 2024-10-16321Phantoms-Firebirds-
47 - 2024-10-18335Silver Knights-Phantoms-
49 - 2024-10-20350Phantoms-Condors-
51 - 2024-10-22363StarsF-Phantoms-
53 - 2024-10-24378Phantoms-Marlies-
55 - 2024-10-26392Phantoms-Monsters-
57 - 2024-10-28407Rocket-Phantoms-
60 - 2024-10-31424PenguinsF-Phantoms-
62 - 2024-11-02441Phantoms-Americans-
65 - 2024-11-05462Rocket-Phantoms-
67 - 2024-11-07477Phantoms-Icehogs-
70 - 2024-11-10492Admirals-Phantoms-
72 - 2024-11-12507Phantoms-BruinsF-
74 - 2024-11-14525Checkers-Phantoms-
77 - 2024-11-17549Phantoms-Islanders-
79 - 2024-11-19559Americans-Phantoms-
81 - 2024-11-21579Phantoms-Barracuda-
83 - 2024-11-23591Firebirds-Phantoms-
85 - 2024-11-25609Phantoms-Wolves-
87 - 2024-11-27622Wolf Pack-Phantoms-
89 - 2024-11-29641Phantoms-Wolves-
90 - 2024-11-30654Phantoms-PenguinsF-
92 - 2024-12-02663Canucks-Phantoms-
95 - 2024-12-05683Wolf Pack-Phantoms-
97 - 2024-12-07697Phantoms-Wranglers-
99 - 2024-12-09713Phantoms-Eagles-
100 - 2024-12-10724Moose-Phantoms-
103 - 2024-12-13746Phantoms-SenatorsF-
105 - 2024-12-15753Crunch-Phantoms-
108 - 2024-12-18772Phantoms-Bears-
110 - 2024-12-20788Comets-Phantoms-
112 - 2024-12-22807Phantoms-Reign-
114 - 2024-12-24816Phantoms-StarsF-
115 - 2024-12-25825Bears-Phantoms-
118 - 2024-12-28849BruinsF-Phantoms-
122 - 2025-01-01879BruinsF-Phantoms-
124 - 2025-01-03887Phantoms-BruinsF-
126 - 2025-01-05909Gulls-Phantoms-
127 - 2025-01-06921Phantoms-Checkers-
130 - 2025-01-09941Islanders-Phantoms-
132 - 2025-01-11954Phantoms-PenguinsF-
134 - 2025-01-13971Crunch-Phantoms-
136 - 2025-01-15980Phantoms-Barracuda-
137 - 2025-01-16994Phantoms-Silver Knights-
139 - 2025-01-181011Islanders-Phantoms-
143 - 2025-01-221035Thunderbirds-Phantoms-
146 - 2025-01-251063SenatorsF-Phantoms-
148 - 2025-01-271076Phantoms-Comets-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2025-01-281083Phantoms-Checkers-
151 - 2025-01-301098Phantoms-Comets-
152 - 2025-01-311110Silver Knights-Phantoms-
155 - 2025-02-031129Wolves-Phantoms-
161 - 2025-02-091161Admirals-Phantoms-
163 - 2025-02-111181Phantoms-Moose-
165 - 2025-02-131191Roadrunners-Phantoms-
166 - 2025-02-141198Phantoms-Crunch-
169 - 2025-02-171222Phantoms-Wolf Pack-
171 - 2025-02-191228Griffins-Phantoms-
173 - 2025-02-211242Phantoms-Moose-
175 - 2025-02-231252Phantoms-Wolf Pack-
176 - 2025-02-241256Phantoms-Crunch-
178 - 2025-02-261276Wolves-Phantoms-
182 - 2025-03-021300Bears-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance4,7662,876
Assistance PCT79.43%95.87%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2547 - 84.91% 104,275$312,825$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
214,943$ 2,155,000$ 2,155,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 205,759$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,962,450$ 168 12,189$ 2,047,752$




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
1Jesper Boqvist79233861-12206716921710.60%12155019.63512173200010446.83%00.7916
2Jakub Zboril8784553-276210788928.70%100176020.244610420000100%00.6000
3Zachary Senyshyn80262349-2955839221012.38%16138617.33610163400012146.21%00.7106
4Kiefer Sherwood77242145-919499416514.55%25148119.232573600023253.66%00.6146
5Ivan Chekhovich79202545-2822787217211.63%6146818.5964103400004144.95%00.6117

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 Langhamer54162970.8783.9330712020116430210.71428
2Dan Blackburn3882420.8763.781919201219740120.60010
3Mattias Modig102100.9053.13402002122000000
4Martin Jones21000.9232.00600022600000

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
16825001002432-83210000089-1504001001623-7524456910119402186373793236674712530413.33%19194.74%111926045.77%11425145.42%5313339.85%1861261915810451
Total Saison régulière90205403346242354-11244112201226119169-504693202120123185-62632424416833095697113242976582681363286677963714112684717.54%2706775.19%21375290047.41%1489307648.41%694150646.08%2066139922036781191585
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