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Phantoms
GP: 22 | W: 9 | L: 11 | OTL: 2 | P: 20
GF: 73 | GA: 88 | PP%: 18.52% | PK%: 83.61%
DG: Alexandre Fortier | Morale : 45 | Moyenne d’équipe : 62
Prochains matchs #363 vs StarsF
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Centre de jeu
Silver Knights
9-12-0, 18pts
2
FINAL
3 Phantoms
9-11-2, 20pts
Team Stats
W1SéquenceW2
5-6-0Fiche domicile6-5-0
4-6-0Fiche domicile3-6-2
3-7-0Derniers 10 matchs6-4-0
3.05Buts par match 3.32
3.57Buts contre par match 4.00
22.54%Pourcentage en avantage numérique18.52%
71.43%Pourcentage en désavantage numérique83.61%
Phantoms
9-11-2, 20pts
4
FINAL
1 Condors
11-11-2, 24pts
Team Stats
W2SéquenceL1
6-5-0Fiche domicile6-5-0
3-6-2Fiche domicile5-6-2
6-4-0Derniers 10 matchs5-4-1
3.32Buts par match 2.29
4.00Buts contre par match 3.13
18.52%Pourcentage en avantage numérique15.19%
83.61%Pourcentage en désavantage numérique84.26%
StarsF
12-9-1, 25pts
2024-10-23
Phantoms
9-11-2, 20pts
Statistiques d’équipe
W2SéquenceW2
6-5-0Fiche domicile6-5-0
6-4-1Fiche visiteur3-6-2
7-3-010 derniers matchs6-4-0
3.36Buts par match 3.32
2.86Buts contre par match 3.32
30.30%Pourcentage en avantage numérique18.52%
82.05%Pourcentage en désavantage numérique83.61%
Phantoms
9-11-2, 20pts
2024-10-25
Marlies
11-8-4, 26pts
Statistiques d’équipe
W2SéquenceL2
6-5-0Fiche domicile5-3-3
3-6-2Fiche visiteur6-5-1
6-4-010 derniers matchs1-7-2
3.32Buts par match 3.87
4.00Buts contre par match 3.87
18.52%Pourcentage en avantage numérique23.19%
83.61%Pourcentage en désavantage numérique86.21%
Phantoms
9-11-2, 20pts
2024-10-27
Monsters
11-6-4, 26pts
Statistiques d’équipe
W2SéquenceL1
6-5-0Fiche domicile5-2-4
3-6-2Fiche visiteur6-4-0
6-4-010 derniers matchs7-2-1
3.32Buts par match 3.62
4.00Buts contre par match 3.62
18.52%Pourcentage en avantage numérique22.78%
83.61%Pourcentage en désavantage numérique77.55%
Meneurs d'équipe
Buts
Pascal Laberge
9
Passes
Rob O'Gara
16
Points
Rob O'Gara
19
Plus/Moins
Rob O'Gara
3
Victoires
Marek Langhamer
7
Pourcentage d’arrêts
Martin Jones
0.907

Statistiques d’équipe
Buts pour
73
3.32 GFG
Tirs pour
633
28.77 Avg
Pourcentage en avantage numérique
18.5%
15 GF
Début de zone offensive
41.3%
Buts contre
88
4.00 GAA
Tirs contre
652
29.64 Avg
Pourcentage en désavantage numérique
83.6%%
10 GA
Début de la zone défensive
39.1%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,522
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 56
Espoirs18


Historique d'équipe

Saison actuelle9-11-2 (20PTS)
Historique34-60-10 (0.327%)
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 BoqvistX100.006345917470809172677572687061486658660251900,000$
2Mitchell Chaffee (R)X99.007545927870727474617072746645456041650261900,000$
3Alexey ToropchenkoXX100.007646807472727873666370766351476841650251900,000$
4Zachary SenyshynXXX99.0069578872717676666566697166544860466402731,200,000$
5Pascal LabergeX100.006545857268747470736567666051486050630261750,000$
6Ivan ChekhovichXX99.006445907267727267676970626548466050630252750,000$
7Filip ChlapikX100.0073457370717273686470686966544860506302731,000,000$
8Marek TvrdonXX100.0065458569756666696066666664474550506203111,000,000$
9Kirill SlepetsXX100.006245927265727266676563696248466040610252750,000$
10Justin KeaX100.007657676876717462736362635959524546610302900,000$
11Erik Karlsson (foward)XX100.0059459373667270656065616260514656506103011,000,000$
12Jordan SchmaltzX99.0061448970727478764573697456675949446703111,700,000$
13Rob O'GaraX100.0064439070747775694572646956615249516503111,300,000$
14Maxwell GildonX99.006444867268717267456666725648466041630252750,000$
15Tomas KundratekX100.006044937072707367456463686255463846620341800,000$
16Filip WesterlundX100.006751877268717159456161675747456037610252750,000$
17Brycen MartinX100.006450817272706862456162645454465742610282800,000$
Rayé
1Brendan PerliniXX93.0065458872737285727271717262865859446702811,700,000$
2Jakub IzackyXX100.005942837065596461636160666256544936590302500,000$
3Joel MustonenXX100.005343917166647661625961646062504840590321500,000$
4Peter ReginXX100.0058418964695862636559606558645521285803811,000,000$
5Kale ClagueX41.296245867269788467457168676056476037630261900,000$
6Ben ThomasX100.006747907069686958456264655750465733600283700,000$
7Ryan RehillX100.008472546575645656455754655452525328580282500,000$
MOYENNE D’ÉQUIPE97.04664785717071736658666568615549544362
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 Jones99.346550507675767577807175996036226303411,000,000$
2Marek Langhamer97.00788580797675817474768150585330630302900,000$
Rayé
1Criss de jambon (R)100.005050505050505050505050505050464303511,000,000$
MOYENNE D’ÉQUIPE98.6764626068676769676866696656463356
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)D2131619312023102962010.34%2846322.061451567000042000%000000.8200000101
2Kiefer SherwoodFlyersLW/RW1610515-520122044102722.73%429618.5332514500000190046.94%4900011.0100000012
3Ivan ChekhovichPhantoms (Phi)LW/RW225914-122011123072516.67%435516.142135520000182050.00%5400100.7900000011
4Kale ClaguePhantoms (Phi)D2011314340228254164.00%2843321.65033959011244000%000000.6500000200
5Zachary SenyshynPhantoms (Phi)C/LW/RW186814-18016333892815.79%330516.992359440002272047.57%30900000.9211000110
6Pascal LabergePhantoms (Phi)C229413-440173349133518.37%235816.301235450001313047.71%43600000.7300000110
7Mitchell ChaffeePhantoms (Phi)LW19491326026195421397.41%433917.890337510111370030.77%5200000.7601000110
8Maxwell GildonPhantoms (Phi)D193912-314023212441312.50%2638920.52123955101128000%000000.6200000012
9Tomas KundratekPhantoms (Phi)D2201111-1001710217160%3043219.68011637000139000%000000.5100000000
10Jordan SchmaltzPhantoms (Phi)D10279-16083135715.38%1421821.86123821000024000%000000.8200000010
11Marek TvrdonPhantoms (Phi)LW/RW22639-42013164282714.29%126412.0100003000001050.00%1600000.6800000200
12Joel MustonenPhantoms (Phi)LW/RW1227910023139915.38%016613.8700000000000157.14%700001.0800000011
13Brendan PerliniPhantoms (Phi)LW/RW12448-3801116426239.52%224620.572248360000250040.00%3000000.6501000100
14Jesper BoqvistPhantoms (Phi)C1253826072639142012.82%122018.371017370001290046.89%30500000.7300000020
15Kirill SlepetsPhantoms (Phi)LW/RW22347-520618369168.33%229113.24000425000041153.85%1300000.4800000101
16Justin KeaPhantoms (Phi)C19437-414031242011220.00%226313.89000327000020052.22%20300000.5300000000
17Erik Karlsson (foward)Phantoms (Phi)LW/RW22437-900551611725.00%21979.0010117000000030.00%1000000.7100000000
18Filip ChlapikPhantoms (Phi)C22156-124034263312283.03%325611.6502226000000040.97%28800000.4700000000
19Alexey ToropchenkoPhantoms (Phi)LW/RW1314512030132512294.00%420115.460006280000110033.33%2400000.5000000001
20Jakub ZborilFlyersD9044-7601410152100%1420122.39011630000018000%000000.4000000000
21Brycen MartinPhantoms (Phi)D16033-181951395250%1526916.830000400008000%000000.2200010000
22Jakub IzackyPhantoms (Phi)LW/RW10011-4202110040%2787.8600002000000060.00%500000.2500000000
23Marc McLaughlinFlyersC1000000243000%01717.4800000000030047.83%230000000000000
24Filip WesterlundPhantoms (Phi)D11000-21551057070%1517716.140000500006000%00000000100000
25Ben ThomasPhantoms (Phi)D6000-1140534400%79415.750000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne39873135208-941421036034863716643311.46%213654016.4315284312470312394269246.27%182400110.641311010109
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)2171020.8733.81108800695440020.3333184102
2Martin JonesPhantoms (Phi)42000.9072.73154007750000048000
3Criss de jambonPhantoms (Phi)30100.7106.51830093100000010000
Statistiques d’équipe totales ou en moyenne2891120.8693.851325008565000232222102


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
Brendan Perlini (sur la masse salariale)Phantoms (Phi)LW/RW281996-04-27No211 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,700,000$0$0$Yes------------------Lien
Brycen MartinPhantoms (Phi)D281996-05-09No210 Lbs6 ft2NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Criss de jambonPhantoms (Phi)G351988-12-24 06:48:49Yes170 Lbs6 ft0NoNoFree AgentNoNo12024-09-23Pro & Farm1,000,000$0$0$No------------------
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
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 SchmaltzPhantoms (Phi)D311993-10-08No190 Lbs6 ft2NoNoTrade2024-04-30NoNo1Pro & Farm1,700,000$0$0$No------------------Lien
Justin KeaPhantoms (Phi)C301994-02-07No215 Lbs6 ft5NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Kale Clague (sur la masse salariale)Phantoms (Phi)D261998-06-05No192 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$0$0$Yes------------------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 ChaffeePhantoms (Phi)LW261998-01-26Yes192 Lbs6 ft1NoNoFree AgentNoNo12024-06-20Pro & Farm900,000$0$0$No------------------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
Zachary SenyshynPhantoms (Phi)C/LW/RW271997-03-30No207 Lbs6 ft1NoNoN/ANoNo32024-05-29Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2728.89192 Lbs6 ft11.56920,370$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesper BoqvistJustin Kea25014
2Mitchell ChaffeeZachary SenyshynMarek Tvrdon25122
3Ivan ChekhovichPascal LabergeAlexey Toropchenko25122
4Kirill SlepetsFilip Chlapik25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SchmaltzRob O'Gara35122
2Maxwell GildonFilip Westerlund35122
3Tomas KundratekBrycen Martin30122
4Jordan SchmaltzRob O'Gara0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jesper BoqvistJustin Kea50122
2Mitchell ChaffeeZachary SenyshynIvan Chekhovich50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SchmaltzRob O'Gara50122
2Maxwell GildonTomas Kundratek50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jesper Boqvist50122
2Zachary SenyshynMitchell Chaffee50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SchmaltzRob O'Gara50122
2Maxwell GildonTomas Kundratek50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jesper Boqvist50122Jordan SchmaltzRob O'Gara50122
2Zachary Senyshyn50122Maxwell GildonTomas Kundratek50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jesper Boqvist50122
2Zachary SenyshynMitchell Chaffee50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SchmaltzRob O'Gara50122
2Maxwell GildonBrycen Martin50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jesper BoqvistJustin KeaJordan SchmaltzRob O'Gara
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jesper BoqvistJustin KeaJordan SchmaltzRob O'Gara
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zachary Senyshyn, Ivan Chekhovich, Pascal LabergeZachary Senyshyn, Ivan ChekhovichZachary Senyshyn
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jordan Schmaltz, Tomas Kundratek, Brycen MartinRob O'GaraJordan Schmaltz, Tomas Kundratek
Tirs de pénalité
, Jesper Boqvist, Justin Kea, Mitchell Chaffee, Zachary Senyshyn
Gardien
#1 : Marek Langhamer, #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
1Americans2110000089-1110000003211010000057-220.50081624002625221601682312307681617247114.29%50100.00%136075048.00%31771044.65%16735846.65%511348525162290143
2Bears1010000012-1000000000001010000012-100.000123002625221211682312307225410700.00%20100.00%036075048.00%31771044.65%16735846.65%511348525162290143
3Checkers11000000321110000003210000000000021.0003470026252212816823123072766265120.00%30100.00%036075048.00%31771044.65%16735846.65%511348525162290143
4Comets1010000035-21010000035-20000000000000.00036900262522126168231230733881411100.00%4175.00%036075048.00%31771044.65%16735846.65%511348525162290143
5Condors11000000413000000000001100000041321.0004812002625221461682312307336910700.00%20100.00%036075048.00%31771044.65%16735846.65%511348525162290143
6Firebirds30200001816-81010000024-220100001612-610.16781422102625221991682312307933522568112.50%10280.00%036075048.00%31771044.65%16735846.65%511348525162290143
7Iowa Wild11000000422000000000001100000042221.00047110026252212716823123072710217400.00%10100.00%036075048.00%31771044.65%16735846.65%511348525162290143
8Islanders1010000045-1000000000001010000045-100.0004711002625221371682312307301061522100.00%30100.00%036075048.00%31771044.65%16735846.65%511348525162290143
9Marlies312000001114-32110000089-11010000035-220.333112031102625221641682312307892316451119.09%8275.00%036075048.00%31771044.65%16735846.65%511348525162290143
10Moose1010000026-41010000026-40000000000000.0002460026252213816823123072772146116.67%10100.00%036075048.00%31771044.65%16735846.65%511348525162290143
11PenguinsF1010000049-51010000049-50000000000000.000481200262522125168231230734188165240.00%4325.00%036075048.00%31771044.65%16735846.65%511348525162290143
12Rocket321000001082110000003122110000077040.6671018280026252217716823123079339244810330.00%90100.00%036075048.00%31771044.65%16735846.65%511348525162290143
13SenatorsF21000100871110000005321000010034-130.75081523002625221611682312307431910426116.67%5180.00%036075048.00%31771044.65%16735846.65%511348525162290143
14Silver Knights11000000321110000003210000000000021.0003580026252212416823123073398212150.00%4175.00%036075048.00%31771044.65%16735846.65%511348525162290143
Total22911001017388-151165000003643-71136001013745-8200.455731342072026252216331682312307652211142358811518.52%611083.61%136075048.00%31771044.65%16735846.65%511348525162290143
_Since Last GM Reset22911001017388-151165000003643-71136001013745-8200.455731342072026252216331682312307652211142358811518.52%611083.61%136075048.00%31771044.65%16735846.65%511348525162290143
_Vs Conference19611001016283-211055000003341-8916001012942-13140.368621141762026252215361682312307559186123310681420.59%54983.33%136075048.00%31771044.65%16735846.65%511348525162290143
_Vs Division110500001404006030000022175502000011823-510.045407311310262522129016823123073201037318539717.95%30390.00%136075048.00%31771044.65%16735846.65%511348525162290143

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2220W27313420763365221114235820
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2291101017388
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
116500003643
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
113601013745
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
811518.52%611083.61%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
16823123072625221
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
36075048.00%31771044.65%16735846.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
511348525162290143


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 - 2024-09-038Phantoms4Islanders5ALSommaire du match
3 - 2024-09-0520Rocket1Phantoms3BWSommaire du match
6 - 2024-09-0841Phantoms1Bears2ALSommaire du match
8 - 2024-09-1055Americans2Phantoms3BWSommaire du match
11 - 2024-09-1371Phantoms3Marlies5ALSommaire du match
13 - 2024-09-1589Marlies6Phantoms2BLSommaire du match
15 - 2024-09-17109Phantoms5Americans7ALSommaire du match
16 - 2024-09-18118Phantoms3SenatorsF4ALXSommaire du match
18 - 2024-09-20128Checkers2Phantoms3BWSommaire du match
21 - 2024-09-23151Firebirds4Phantoms2BLSommaire du match
23 - 2024-09-25166Phantoms3Firebirds4ALXXSommaire du match
25 - 2024-09-27180PenguinsF9Phantoms4BLSommaire du match
27 - 2024-09-29200SenatorsF3Phantoms5BWSommaire du match
30 - 2024-10-02220Phantoms3Rocket5ALSommaire du match
34 - 2024-10-06241Moose6Phantoms2BLSommaire du match
36 - 2024-10-08257Comets5Phantoms3BLSommaire du match
39 - 2024-10-11277Phantoms4Iowa Wild2AWSommaire du match
41 - 2024-10-13290Phantoms4Rocket2AWSommaire du match
42 - 2024-10-14302Marlies3Phantoms6BWSommaire du match
45 - 2024-10-17321Phantoms3Firebirds8ALSommaire du match
47 - 2024-10-19335Silver Knights2Phantoms3BWSommaire du match
49 - 2024-10-21350Phantoms4Condors1AWSommaire du match
51 - 2024-10-23363StarsF-Phantoms-
53 - 2024-10-25378Phantoms-Marlies-
55 - 2024-10-27392Phantoms-Monsters-
57 - 2024-10-29407Rocket-Phantoms-
60 - 2024-11-01424PenguinsF-Phantoms-
62 - 2024-11-03441Phantoms-Americans-
65 - 2024-11-06462Rocket-Phantoms-
67 - 2024-11-08477Phantoms-Icehogs-
70 - 2024-11-11492Admirals-Phantoms-
72 - 2024-11-13507Phantoms-BruinsF-
74 - 2024-11-15525Checkers-Phantoms-
77 - 2024-11-18549Phantoms-Islanders-
79 - 2024-11-20559Americans-Phantoms-
81 - 2024-11-22579Phantoms-Barracuda-
83 - 2024-11-24591Firebirds-Phantoms-
85 - 2024-11-26609Phantoms-Wolves-
87 - 2024-11-28622Wolf Pack-Phantoms-
89 - 2024-11-30641Phantoms-Wolves-
90 - 2024-12-01654Phantoms-PenguinsF-
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
Assistance16,87010,876
Assistance PCT76.68%98.87%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 2522 - 84.08% 102,077$1,122,849$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
614,265$ 2,225,000$ 2,225,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 587,784$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,062,315$ 136 12,568$ 1,709,248$




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 Boqvist86274067-9267218224411.07%12168119.55612183700010446.72%00.8016
2Zachary Senyshyn93313061-30639512023613.14%19161817.40712194100034148.04%00.7517
3Ivan Chekhovich93233255-3224837919112.04%10169218.2075123600005145.35%00.6517
4Jakub Zboril8884654-256210891938.60%101178420.274610420000100%00.6100
5Kiefer Sherwood85292352-9195710218415.76%28161919.054594100023252.45%10.6446

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 Langhamer68223480.8783.8737392024119780220.67731
2Dan Blackburn3882420.8763.781919201219740120.60010
3Martin Jones42000.9072.731540077500000
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
1622911001017388-151165000003643-71136001013745-820731342072026252216331682312307652211142358811518.52%611083.61%136075048.00%31771044.65%16735846.65%511348525162290143
Total Saison régulière104276003347291410-11952152601226147203-5652123402121144207-637829153082140110858914284487098496467328292373216443195818.18%3127675.64%21616339047.67%1692353547.86%808173146.68%2391162125367821378677
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