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Phantoms
GP: 61 | W: 22 | L: 32 | OTL: 7 | P: 51
GF: 183 | GA: 232 | PP%: 22.22% | PK%: 77.71%
DG: Alexandre Fortier | Morale : 29 | Moyenne d’équipe : 62
Prochains matchs #980 vs Barracuda
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Centre de jeu
Phantoms
22-32-7, 51pts
3
FINAL
4 PenguinsF
31-27-4, 66pts
Team Stats
W1SéquenceSOL1
14-16-1Fiche domicile15-14-2
8-16-6Fiche domicile16-13-2
4-4-2Derniers 10 matchs4-4-2
3.00Buts par match 3.39
3.80Buts contre par match 3.29
22.22%Pourcentage en avantage numérique21.69%
77.71%Pourcentage en désavantage numérique75.12%
Crunch
30-27-5, 65pts
2
FINAL
3 Phantoms
22-32-7, 51pts
Team Stats
L1SéquenceW1
19-8-3Fiche domicile14-16-1
11-19-2Fiche domicile8-16-6
6-3-1Derniers 10 matchs4-4-2
3.11Buts par match 3.00
3.19Buts contre par match 3.80
17.39%Pourcentage en avantage numérique22.22%
78.07%Pourcentage en désavantage numérique77.71%
Phantoms
22-32-7, 51pts
2025-01-18
Barracuda
17-39-5, 39pts
Statistiques d’équipe
W1SéquenceL6
14-16-1Fiche domicile11-17-2
8-16-6Fiche visiteur6-22-3
4-4-210 derniers matchs3-7-0
3.00Buts par match 2.82
3.80Buts contre par match 2.82
22.22%Pourcentage en avantage numérique18.79%
77.71%Pourcentage en désavantage numérique75.56%
Phantoms
22-32-7, 51pts
2025-01-19
Silver Knights
32-25-1, 65pts
Statistiques d’équipe
W1SéquenceW1
14-16-1Fiche domicile17-14-0
8-16-6Fiche visiteur15-11-1
4-4-210 derniers matchs8-2-0
3.00Buts par match 3.33
3.80Buts contre par match 3.33
22.22%Pourcentage en avantage numérique21.35%
77.71%Pourcentage en désavantage numérique77.42%
Islanders
39-17-5, 83pts
2025-01-21
Phantoms
22-32-7, 51pts
Statistiques d’équipe
W3SéquenceW1
20-8-3Fiche domicile14-16-1
19-9-2Fiche visiteur8-16-6
6-3-110 derniers matchs4-4-2
3.62Buts par match 3.00
3.03Buts contre par match 3.00
23.50%Pourcentage en avantage numérique22.22%
81.09%Pourcentage en désavantage numérique77.71%
Meneurs d'équipe
Buts
Pascal Laberge
18
Passes
Rob O'Gara
30
Points
Zachary Senyshyn
44
Plus/Moins
Zachary Senyshyn
5
Victoires
Marek Langhamer
14
Pourcentage d’arrêts
Martin Jones
0.888

Statistiques d’équipe
Buts pour
183
3.00 GFG
Tirs pour
1653
27.10 Avg
Pourcentage en avantage numérique
22.2%
42 GF
Début de zone offensive
38.4%
Buts contre
232
3.80 GAA
Tirs contre
1923
31.52 Avg
Pourcentage en désavantage numérique
77.7%%
39 GA
Début de la zone défensive
41.9%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,457
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 56
Espoirs18


Historique d'équipe

Saison actuelle22-32-7 (51PTS)
Historique47-81-12 (0.336%)
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
1Brendan PerliniXX100.0065458872737285727271717262865859386702811,700,000$
2Mitchell Chaffee (R)X98.007545927870727474617072746645456037650261900,000$
3Zachary SenyshynXXX100.0069578872717675666566697166544860426402731,200,000$
4Ivan ChekhovichXX96.006445907267727267676970626548466048630262750,000$
5Filip ChlapikX98.0073457370717273686470686966544860446302731,000,000$
6Kirill SlepetsXX97.006245927265727266676563696248466024610252750,000$
7Justin KeaX99.007657676876717462736362635959524542610302900,000$
8Erik Karlsson (foward)XX100.0059459373667270656065616260514656356103011,000,000$
9Jakub IzackyXX100.005942837065596461636160666256544918590312500,000$
10Joel MustonenXX100.005343917166647661625961646062504818590321500,000$
11Jakub ZborilX100.0070458578738287734575637056594863376702722,000,000$
12Jordan SchmaltzX100.0061448970727478764573697456675949286703111,700,000$
13Maxwell GildonX100.006444867268717267456666725648466035630252750,000$
14Kale ClagueX100.006245867269788467457168676056476033630261900,000$
15Tomas KundratekX100.006044937072707367456463686255463840620351800,000$
16Brycen MartinX100.006450817272706862456162645454465718610282800,000$
Rayé
1Kiefer SherwoodXX97.0064469672707071697767677168624856306402921,200,000$
2Pascal LabergeX77.426545857268747470736567666051486031630261750,000$
3Marek TvrdonXX74.9465458569756666696066666664474550396203111,000,000$
4Peter ReginXXX100.0058418964695862636559606558645521185803811,000,000$
5Rob O'GaraX100.0064439070747775694572646956615249406503111,300,000$
6Filip WesterlundX100.006751877268717159456161675747456027610252750,000$
7Ben ThomasX100.006747907069686958456264655750465719600283700,000$
8Ryan RehillX100.008472546575645656455754655452525320580292500,000$
MOYENNE D’ÉQUIPE97.33654786717071736657666568605649543262
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
1Criss de jambon (R)100.005050505050505050505050505050314303611,000,000$
Rayé
1Martin Jones86.926550507675767577807175996036106303511,000,000$
2Marek Langhamer95.00788580797675817474768150585322630302900,000$
MOYENNE D’ÉQUIPE93.6764626068676769676866696656462156
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
1Zachary SenyshynPhantoms (Phi)C/LW/RW5517274451755283118307814.41%998617.938715231250113894046.02%62800000.8911100143
2Mitchell ChaffeePhantoms (Phi)LW56162137-22007769163441209.82%15103518.492792613211231132140.38%26500000.7112000421
3Rob O'GaraPhantoms (Phi)D5363036-332050376420379.38%70111421.0321012341340110108100%000000.6500000102
4Maxwell GildonPhantoms (Phi)D5872633-748071567822578.97%81120420.77448361421011111000%000000.5500000022
5Brendan PerliniPhantoms (Phi)LW/RW46141933-21003055122338811.48%784718.415611221020001861147.25%9100000.7802000211
6Pascal LabergePhantoms (Phi)C59181432-51005186120339115.00%10100317.00178151020001474049.55%88600000.6400000121
7Ivan ChekhovichPhantoms (Phi)LW/RW58111930-2740303694247711.70%995816.52246141050002563145.19%23900100.6301000113
8Jakub ZborilPhantoms (Phi)D4592029-21380794962133914.52%63102722.82551028113000092000%000000.5600000112
9Tomas KundratekPhantoms (Phi)D6142428-128059306118366.56%75118119.362242088000191000%000000.4700000101
10Kiefer SherwoodPhantoms (Phi)LW/RW53131427-11802045107277912.15%1191017.19336221260000490051.06%18800010.5901000023
11Jordan SchmaltzPhantoms (Phi)D3952126-9200303848103610.42%6483321.362571766000071000%000000.6200000111
12Filip ChlapikPhantoms (Phi)C6191322-3524089819927859.09%687114.293477280001160044.40%100900000.5001000120
13Kale ClaguePhantoms (Phi)D295162158027154172112.20%3761421.200551282011265000%000000.6800000201
14Marek TvrdonPhantoms (Phi)LW/RW5412820-13120344590196113.33%575213.941013180000101039.73%21900000.5300000300
15Marc McLaughlinFlyersC289817-3160333063163914.29%550518.060444540001521146.00%48700000.6701000111
16Kirill SlepetsPhantoms (Phi)LW/RW615914-166017499329655.38%789114.610116560000141150.00%14600000.3100000101
17Justin KeaPhantoms (Phi)C565914-1230067574583211.11%262411.150113350000150054.44%51800000.4511000000
18Erik Karlsson (foward)Phantoms (Phi)LW/RW576410-2840152653114811.32%763011.0710117000001047.89%7100000.3201000000
19Joel MustonenPhantoms (Phi)LW/RW2827910023139915.38%01675.9900000000000157.14%700001.0700000011
20Jesper BoqvistFlyersC1253826072639142012.82%122018.371017370001290046.89%30500000.7300000020
21Filip WesterlundPhantoms (Phi)D44066-123756328245220%5576017.29022110000040000%000000.1600100000
22Brycen MartinPhantoms (Phi)D33246-2827534161341015.38%3354816.6200008000018100%000000.2200010000
23Alexey ToropchenkoFlyersC/LW/RW1314512030132512294.00%420115.460006280000110033.33%2400000.5000000001
24Calle JarnkrokFlyersLW/RW11010000230433.33%01717.720000000001100%100001.1300000000
25Jakub IzackyPhantoms (Phi)LW/RW28011-5202114140%21013.6200013000000042.86%700000.2000000000
26Peter ReginPhantoms (Phi)C/LW/RW6000000001000%010.2400000000000050.00%20000000000000
27Ben ThomasPhantoms (Phi)D6000-1140534400%79415.750000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1100182327509-248393159749791657440118710.98%5851810616.464277119308161224617119521646.91%509300110.56311210212225
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)49142250.8843.6425730115613410040.50084218302
2Martin JonesPhantoms (Phi)218920.8883.54103520615470000.66731923100
3Criss de jambonPhantoms (Phi)30100.7106.51830093100000020000
Statistiques d’équipe totales ou en moyenne73223270.8823.673692212261919004116161402


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 PerliniPhantoms (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)G361988-12-24CANYes170 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 ChekhovichPhantoms (Phi)LW/RW261999-01-04RUSNo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------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 ClaguePhantoms (Phi)D261998-06-05CANNo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------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
Marek Langhamer (sur la masse salariale)Phantoms (Phi)G301994-07-22CZENo190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Marek Tvrdon (sur la masse salariale)Phantoms (Phi)LW/RW311993-01-31SVKNo220 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$Yes---------------------------Lien
Martin Jones (sur la masse salariale)Phantoms (Phi)G351990-01-10CANNo187 Lbs6 ft4NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm1,000,000$0$0$Yes---------------------------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 Laberge (sur la masse salariale)Phantoms (Phi)C261998-04-09CANNo172 Lbs6 ft1NoNoN/ANoNo12023-12-30FalseFalsePro & Farm750,000$0$0$Yes---------------------------Lien
Peter ReginPhantoms (Phi)C/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)D351989-12-26CZENo200 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
2729.33193 Lbs6 ft11.63972,222$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mitchell ChaffeeKirill SlepetsZachary Senyshyn25122
2Justin Kea25122
3Ivan ChekhovichFilip ChlapikErik Karlsson (foward)25122
4Kirill SlepetsJustin KeaErik Karlsson (foward)25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SchmaltzJakub Zboril25122
2Kale ClagueMaxwell Gildon25122
3Tomas KundratekBrycen Martin25122
4Jordan SchmaltzJakub Zboril25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip ChlapikIvan ChekhovichMitchell Chaffee50122
2Kirill SlepetsZachary Senyshyn50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SchmaltzJakub Zboril50122
2Kale ClagueMaxwell Gildon50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ivan Chekhovich50122
2Filip ChlapikMitchell Chaffee50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SchmaltzJakub Zboril50122
2Kale ClagueMaxwell Gildon50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Jordan SchmaltzJakub Zboril50122
2Ivan Chekhovich50122Kale ClagueMaxwell Gildon50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Filip Chlapik50122
2Ivan ChekhovichZachary Senyshyn50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan SchmaltzJakub Zboril50122
2Kale ClagueMaxwell Gildon50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zachary SenyshynMitchell ChaffeeJordan SchmaltzJakub Zboril
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zachary SenyshynMitchell ChaffeeJordan SchmaltzJakub Zboril
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ivan Chekhovich, Filip Chlapik, Ivan Chekhovich, Filip Chlapik
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tomas Kundratek, Jordan Schmaltz, Kale ClagueTomas KundratekJakub Zboril, Kale Clague
Tirs de pénalité
Ivan Chekhovich, Filip Chlapik, Justin Kea, Erik Karlsson (foward),
Gardien
#1 : , #2 : Criss de jambon


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
1Admirals11000000523110000005230000000000021.000591400655759436494567574291734162150.00%10100.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
2Americans413000001116-52110000035-220200000811-320.2501121320065575941114945675742913935295814214.29%10280.00%1928193847.88%1014211547.94%44799744.83%13809341501461812397
3Barracuda1000010045-1000000000001000010045-110.5004812006557594294945675742939111015000%40100.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
4Bears31200000910-1110000005412020000046-220.3339172600655759477494567574299531203713215.38%10280.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
5BruinsF412010001114-32020000038-52100100086240.500111930006557594109494567574291283426711317.69%13561.54%0928193847.88%1014211547.94%44799744.83%13809341501461812397
6Canucks1010000004-41010000004-40000000000000.000000006557594174945675742933121216200.00%6266.67%0928193847.88%1014211547.94%44799744.83%13809341501461812397
7Checkers311001001113-22110000045-11000010078-130.50011182910655759480494567574299126185110440.00%9455.56%0928193847.88%1014211547.94%44799744.83%13809341501461812397
8Comets20200000510-520200000510-50000000000000.000510150065575945749456757429601812303133.33%6183.33%1928193847.88%1014211547.94%44799744.83%13809341501461812397
9Condors11000000413000000000001100000041321.00048120065575944649456757429336910700.00%20100.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
10Crunch2200000010372200000010370000000000041.0001017270065575945849456757429541312369222.22%60100.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
11Eagles1010000038-5000000000001010000038-500.0003690065575941849456757429401161822100.00%110.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
12Firebirds403000011021-112020000049-520100001612-610.125101828106557594125494567574291394534691119.09%16475.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
13Gulls1010000023-11010000023-10000000000000.00023500655759424494567574293174173133.33%20100.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
14Icehogs1000010023-1000000000001000010023-110.50024600655759412494567574293911414200.00%20100.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
15Iowa Wild11000000422000000000001100000042221.000471100655759427494567574292710217400.00%10100.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
16Islanders30300000712-51010000024-22020000058-300.000713201065575948149456757429942326385240.00%11281.82%0928193847.88%1014211547.94%44799744.83%13809341501461812397
17Marlies422000001314-12110000089-12110000055040.50013243711655759494494567574291173324551417.14%12283.33%0928193847.88%1014211547.94%44799744.83%13809341501461812397
18Monsters1010000057-2000000000001010000057-200.0005101500655759425494567574294923919100.00%2150.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
19Moose2110000047-32110000047-30000000000020.5004812006557594724945675742945146298112.50%30100.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
20PenguinsF412000011319-621100000711-42010000168-230.375132437006557594934945675742912643265818738.89%13376.92%0928193847.88%1014211547.94%44799744.83%13809341501461812397
21Reign1010000036-3000000000001010000036-300.0003580065575943349456757429428015000%000%0928193847.88%1014211547.94%44799744.83%13809341501461812397
22Rocket5210011014122310001107522110000077070.7001422360065575941304945675742915663349617529.41%14192.86%0928193847.88%1014211547.94%44799744.83%13809341501461812397
23SenatorsF31100100913-41100000053220100100410-630.500917260065575949149456757429733118567114.29%8275.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
24Silver Knights11000000321110000003210000000000021.00035800655759424494567574293398212150.00%4175.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
25StarsF211000008711010000026-41100000061520.50081321006557594524945675742968208307342.86%4175.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
26Wolf Pack21100000710-321100000710-30000000000020.50071219006557594674945675742967128338337.50%4250.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
27Wolves21100000541000000000002110000054120.50056110065575944349456757429522118385120.00%7185.71%0928193847.88%1014211547.94%44799744.83%13809341501461812397
28Wranglers1010000014-3000000000001010000014-300.0001230065575942249456757429361089200.00%4250.00%0928193847.88%1014211547.94%44799744.83%13809341501461812397
Total61203201512183232-493113160011086110-24307160140297122-25510.41818332650941655759416534945675742919235833959721894222.22%1753977.71%2928193847.88%1014211547.94%44799744.83%13809341501461812397
_Since Last GM Reset61203201512183232-493113160011086110-24307160140297122-25510.41818332650941655759416534945675742919235833959721894222.22%1753977.71%2928193847.88%1014211547.94%44799744.83%13809341501461812397
_Vs Conference47152501312139178-39261113001107493-1921412012026585-20390.41513924638541655759412884945675742914364423117551553421.94%1423178.17%2928193847.88%1014211547.94%44799744.83%13809341501461812397
_Vs Division25211000027985-6142700000403821104000023947-860.1207913821721655759467349456757429758235161423841619.05%721677.78%1928193847.88%1014211547.94%44799744.83%13809341501461812397

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6151W11833265091653192358339597241
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6120321512183232
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
311316011086110
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
30716140297122
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1894222.22%1753977.71%2
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
494567574296557594
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
928193847.88%1014211547.94%44799744.83%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13809341501461812397


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 - 2024-09-058Phantoms4Islanders5LSommaire du match
3 - 2024-09-0720Rocket1Phantoms3WSommaire du match
6 - 2024-09-1041Phantoms1Bears2LSommaire du match
8 - 2024-09-1255Americans2Phantoms3WSommaire du match
11 - 2024-09-1571Phantoms3Marlies5LSommaire du match
13 - 2024-09-1789Marlies6Phantoms2LSommaire du match
15 - 2024-09-19109Phantoms5Americans7LSommaire du match
16 - 2024-09-20118Phantoms3SenatorsF4LXSommaire du match
18 - 2024-09-22128Checkers2Phantoms3WSommaire du match
21 - 2024-09-25151Firebirds4Phantoms2LSommaire du match
23 - 2024-09-27166Phantoms3Firebirds4LXXSommaire du match
25 - 2024-09-29180PenguinsF9Phantoms4LSommaire du match
27 - 2024-10-01200SenatorsF3Phantoms5WSommaire du match
30 - 2024-10-04220Phantoms3Rocket5LSommaire du match
34 - 2024-10-08241Moose6Phantoms2LSommaire du match
36 - 2024-10-10257Comets5Phantoms3LSommaire du match
39 - 2024-10-13277Phantoms4Iowa Wild2WSommaire du match
41 - 2024-10-15290Phantoms4Rocket2WSommaire du match
42 - 2024-10-16302Marlies3Phantoms6WSommaire du match
45 - 2024-10-19321Phantoms3Firebirds8LSommaire du match
47 - 2024-10-21335Silver Knights2Phantoms3WSommaire du match
49 - 2024-10-23350Phantoms4Condors1WSommaire du match
51 - 2024-10-25363StarsF6Phantoms2LSommaire du match
53 - 2024-10-27378Phantoms2Marlies0WSommaire du match
55 - 2024-10-29392Phantoms5Monsters7LSommaire du match
57 - 2024-10-31407Rocket3Phantoms2LXSommaire du match
60 - 2024-11-03424PenguinsF2Phantoms3WSommaire du match
62 - 2024-11-05441Phantoms3Americans4LSommaire du match
65 - 2024-11-08462Rocket1Phantoms2WXXSommaire du match
67 - 2024-11-10477Phantoms2Icehogs3LXSommaire du match
70 - 2024-11-13492Admirals2Phantoms5WSommaire du match
72 - 2024-11-15507Phantoms5BruinsF4WXSommaire du match
74 - 2024-11-17525Checkers3Phantoms1LSommaire du match
77 - 2024-11-20549Phantoms1Islanders3LSommaire du match
79 - 2024-11-22559Americans3Phantoms0LSommaire du match
81 - 2024-11-24579Phantoms4Barracuda5LXSommaire du match
83 - 2024-11-26591Firebirds5Phantoms2LSommaire du match
85 - 2024-11-28609Phantoms2Wolves3LSommaire du match
87 - 2024-11-30622Wolf Pack2Phantoms5WSommaire du match
89 - 2024-12-02641Phantoms3Wolves1WSommaire du match
90 - 2024-12-03654Phantoms3PenguinsF4LSommaire du match
92 - 2024-12-05663Canucks4Phantoms0LSommaire du match
95 - 2024-12-08683Wolf Pack8Phantoms2LSommaire du match
97 - 2024-12-10697Phantoms1Wranglers4LSommaire du match
99 - 2024-12-12713Phantoms3Eagles8LSommaire du match
100 - 2024-12-13724Moose1Phantoms2WSommaire du match
103 - 2024-12-16746Phantoms1SenatorsF6LSommaire du match
105 - 2024-12-18753Crunch1Phantoms7WSommaire du match
108 - 2024-12-21772Phantoms3Bears4LSommaire du match
110 - 2024-12-23788Comets5Phantoms2LSommaire du match
112 - 2024-12-25807Phantoms3Reign6LSommaire du match
114 - 2024-12-27816Phantoms6StarsF1WSommaire du match
115 - 2024-12-28825Bears4Phantoms5WSommaire du match
118 - 2024-12-31849BruinsF4Phantoms2LSommaire du match
122 - 2025-01-04879BruinsF4Phantoms1LSommaire du match
124 - 2025-01-06887Phantoms3BruinsF2WSommaire du match
126 - 2025-01-08909Gulls3Phantoms2LSommaire du match
127 - 2025-01-09921Phantoms7Checkers8LXSommaire du match
130 - 2025-01-12941Islanders4Phantoms2LSommaire du match
132 - 2025-01-14954Phantoms3PenguinsF4LXXSommaire du match
134 - 2025-01-16971Crunch2Phantoms3WSommaire du match
136 - 2025-01-18980Phantoms-Barracuda-
137 - 2025-01-19994Phantoms-Silver Knights-
139 - 2025-01-211011Islanders-Phantoms-
143 - 2025-01-251035Thunderbirds-Phantoms-
146 - 2025-01-281063SenatorsF-Phantoms-
148 - 2025-01-301076Phantoms-Comets-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2025-01-311083Phantoms-Checkers-
151 - 2025-02-021098Phantoms-Comets-
152 - 2025-02-031110Silver Knights-Phantoms-
155 - 2025-02-061129Wolves-Phantoms-
161 - 2025-02-121161Admirals-Phantoms-
163 - 2025-02-141181Phantoms-Moose-
165 - 2025-02-161191Roadrunners-Phantoms-
166 - 2025-02-171198Phantoms-Crunch-
169 - 2025-02-201222Phantoms-Wolf Pack-
171 - 2025-02-221228Griffins-Phantoms-
173 - 2025-02-241242Phantoms-Moose-
175 - 2025-02-261252Phantoms-Wolf Pack-
176 - 2025-02-271256Phantoms-Crunch-
178 - 2025-03-011276Wolves-Phantoms-
182 - 2025-03-051300Bears-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance46,65229,511
Assistance PCT75.25%95.20%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
10 2457 - 81.90% 99,757$3,092,475$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,813,705$ 2,350,000$ 2,350,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,740,737$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
997,573$ 50 13,243$ 662,150$




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 Senyshyn130424991-247213117031613.29%25229817.681316295501146146.73%00.7917
2Jakub Zboril124176279-399417313014012.14%150260921.0591019640000100%00.6100
3Ivan Chekhovich129294271-472610210325511.37%15229517.8078154500026244.81%00.6218
4Jesper Boqvist86274067-9267218224411.07%12168119.55612183700010446.72%00.8016
5Rob O'Gara109125567-1966104761388.70%126232021.2941620760110120%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 Langhamer962946110.8823.7752242132827750240.66736
2Martin Jones218920.8883.54103520615470000.6673
3Dan Blackburn3882420.8763.781919201219740120.60010
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
1661203201512183232-493113160011086110-24307160140297122-255118332650941655759416534945675742919235833959721894222.22%1753977.71%2928193847.88%1014211547.94%44799744.83%13809341501461812397
Total Saison régulière143388104758401554-15372223701336197270-7371164403422204284-80109401722112361149117126173864119613201308894553129598522584278519.91%42610575.35%32184457847.71%2389494048.36%1088237045.91%32612207351310821899931
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