Phantoms
GP: 27 | W: 17 | L: 8 | OTL: 2 | P: 36
GF: 107 | GA: 75 | PP%: 28.09% | PK%: 80.00%
DG: Samuel Bessette | Morale : 75 | Moyenne d’équipe : 63
Prochain matchs #469 vs Barracuda
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Centre de jeu
Americans
17-7-4, 38pts
1
FINAL
3 Phantoms
17-8-2, 36pts
Team Stats
W1StreakL1
10-4-2Home Record10-5-1
7-3-2Away Record7-3-1
5-4-1Last 10 Games5-4-1
3.89Buts par match 3.96
2.71Buts contre par match 2.78
19.59%Pourcentage en avantage numérique28.09%
79.45%Pourcentage en désavantage numérique80.00%
Eagles
14-13-2, 30pts
5
FINAL
3 Phantoms
17-8-2, 36pts
Team Stats
W3StreakL1
5-8-0Home Record10-5-1
9-5-2Away Record7-3-1
5-4-1Last 10 Games5-4-1
3.62Buts par match 3.96
3.76Buts contre par match 2.78
20.20%Pourcentage en avantage numérique28.09%
82.05%Pourcentage en désavantage numérique80.00%
Barracuda
20-6-4, 44pts
2025-12-09
Phantoms
17-8-2, 36pts
Statistiques d’équipe
OTL1SéquenceL1
12-3-2Fiche domicile10-5-1
8-3-2Fiche visiteur7-3-1
7-2-110 derniers matchs5-4-1
4.83Buts par match 3.96
3.40Buts contre par match 2.78
30.91%Pourcentage en avantage numérique28.09%
78.89%Pourcentage en désavantage numérique80.00%
Silver Knights
2-25-1, 5pts
2025-12-11
Phantoms
17-8-2, 36pts
Statistiques d’équipe
L5SéquenceL1
0-14-1Fiche domicile10-5-1
2-11-0Fiche visiteur7-3-1
0-9-110 derniers matchs5-4-1
3.18Buts par match 3.96
6.36Buts contre par match 2.78
19.12%Pourcentage en avantage numérique28.09%
74.24%Pourcentage en désavantage numérique80.00%
Wolves
18-10-0, 36pts
2025-12-13
Phantoms
17-8-2, 36pts
Statistiques d’équipe
W4SéquenceL1
9-6-0Fiche domicile10-5-1
9-4-0Fiche visiteur7-3-1
6-4-010 derniers matchs5-4-1
4.39Buts par match 3.96
3.36Buts contre par match 2.78
24.21%Pourcentage en avantage numérique28.09%
80.00%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Matt VillaltaVictoires
Matt Villalta
16
Nikke KokkoPourcentage d’arrêts
Nikke Kokko
0.978

Statistiques d’équipe
Buts pour
107
3.96 GFG
Tirs pour
1088
40.30 Avg
Pourcentage en avantage numérique
28.1%
25 GF
Début de zone offensive
43.5%
Buts contre
75
2.78 GAA
Tirs contre
835
30.93 Avg
Pourcentage en désavantage numérique
80.0%
14 GA
Début de la zone défensive
38.3%
Information d’équipe

Directeur généralSamuel Bessette
EntraîneurSteve Spott
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,807
Billets de saison300


Information formation

Équipe Pro29
Équipe Mineure21
Limite contact 50 / 80
Espoirs51


Historique d'équipe

Saison actuelle17-8-2 (36PTS)
Historique62-36-10 (0.574%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)3-4
Stanley Cup0


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 moyen
1Nicolas Aube-Kubel0XX100.00786285667778806459616263627170075650292750,000$
2Rory Kerins (R)0X100.00613593686585836769666564686365075650232950,000$
3Lukas Reichel (R)0XX100.00613694706981876774686063666567075650231999,999$
4Danil Gushchin (R)0X100.00613684676290846668636561696365075640231950,000$
5Marat Khusnutdinov (R)0X100.00673491696880776375616071596263075640232950,000$
6Joona Koppanen0XX100.00823889619278845963605862576769075640271999,999$
7Axel Jonsson-Fjallby (R)0XX100.00703793647579856258605961636769075630271750,000$
8Jack Studnicka (R)0X100.00733979637587846468605865626668075630262850,000$
9Jonas Rondbjerg (R)0XX100.00693894618281855955605864576668075630262999,999$
10Parker Ford (R)0X100.00653874616885825961586357666567075610252950,000$
11William Lockwood (R)0X100.00693987607177805755595856606769075610271750,000$
12Samuel Bolduc (R)0X100.00784095639180816430626061536567075650241892,000$
13Adam Wilsby (R)0X100.00653888667585786530645863516567075640251950,000$
14Kyle Burroughs0X100.00836871637386806230645469497173075640301750,000$
15Vladislav Kolyachonok (R)0X100.00693889677977746530666063526466075640242999,999$
16Albert Johansson (R)0X100.00663881656883846430635665516466075630241950,000$
17Jake Bischoff0X100.00663982627576825630605355467176075610311950,000$
18Elias D. Pettersson (R)0X100.00684074647778736230605663496163075610213950,000$
Rayé
1Nikita Prishchepov0X100.00673980567673715764585955576163075600213999,999$
2Felix Unger Sorum (R)0X100.00623794597169715761585456556062075590203950,000$
3Jamieson Rees (R)0X100.00573689586769775563565453586466075580241800,000$
4Daniil Misyul (R)0X100.00694170598076795830575560486567075600242950,000$
5Samuel Knazko (R)0X100.00683892587764785530575456466365075600231950,000$
6Dawson Barteaux (R)0X100.00653893577465765630585254466567075590252950,000$
MOYENNE D’ÉQUIPE100.0068408663747880615061586156656707562
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 moyen
1Matt Villalta (R)100.0077908681767577767577766675075670261750,000$
2Nikke Kokko (R)100.0078777480777678777678776165075660213950,000$
Rayé
1Dylan Garand (R)100.0076868270757476757476756369075650231950,000$
2Sergei Murashov (R)100.0074757175737274737274736165075640213950,000$
3Kevin Mandolese (R)100.0071797582706971706971706573075630252999,999$
MOYENNE D’ÉQUIPE100.007581787874737574737574636907565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Spott62747872857962CAN573500,000$


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
1Lukas ReichelPhantoms (PHI)LW/RW2721183917201574130399616.15%1167324.94551021800000714260.27%22400001.1602000351
2Marat KhusnutdinovPhantoms (PHI)C2710213166048106132431067.58%860422.39461019640001291158.75%75400001.0311000135
3Nicolas Aube-KubelPhantoms (PHI)C/RW2711172810120623090266712.22%449618.4034717740000263055.77%5200001.1302000204
4Danil GushchinPhantoms (PHI)LW2717522610035431282710813.28%357021.143252065000002240.43%4700020.7700000302
5Adam WilsbyPhantoms (PHI)D275162192028336725357.46%2657321.253693484000162000.00%000000.7301000012
6Vladislav KolyachonokPhantoms (PHI)D274172124018374814348.33%3455120.432572262000153000.00%000000.7600000010
7Samuel BolducPhantoms (PHI)D20315181618039214016227.50%2948024.05145855000139000.00%000000.7500000021
8Rory KerinsPhantoms (PHI)C1471017800104066173910.61%430121.5602212420002461057.02%35600011.1301000020
9Kyle BurroughsPhantoms (PHI)D2741216134092384110279.76%3855520.563692764000041100.00%000000.5800000200
10Albert JohanssonPhantoms (PHI)D27112139803620288153.57%2238514.280004700001000.00%000000.6700000011
11Jonas RondbjergPhantoms (PHI)LW/RW2721113614038327416602.70%556721.041671464000000047.73%4400000.4600000000
12William LockwoodPhantoms (PHI)RW27381144042294411336.82%842815.8500001000000053.61%16600000.5100000000
13Joona KoppanenPhantoms (PHI)C/LW273811-311537555519465.45%641215.2900018000071055.65%46900000.5300001011
14Axel Jonsson-FjallbyPhantoms (PHI)LW/RW275510-27515326615407.58%236013.35000220001210052.08%4800000.5500001010
15Elias D. PetterssonPhantoms (PHI)D2717863353320176135.88%2237814.0100000000020010.00%000000.4200001100
16Jack StudnickaPhantoms (PHI)C273587603538327289.38%01907.0700013000001054.71%17000000.8400000001
17Parker FordPhantoms (PHI)RW10617240117227927.27%312712.7800000000002070.00%1000001.1000000200
18Jake BischoffPhantoms (PHI)D270445401057540.00%121565.780000200008000.00%000000.5100000000
Statistiques d’équipe totales ou en moyenne4491061922981091791560466010873117829.75%237781617.41254671202684000743116656.62%234000030.7617003141718
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
1Matt VillaltaPhantoms (PHI)2716820.9092.84151923727890110.8336270301
2Nikke KokkoPhantoms (PHI)41000.9780.53113001450000.0000027000
Statistiques d’équipe totales ou en moyenne3117820.9122.68163323738340110.83362727301


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial 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 10Link
Adam WilsbyPhantoms (PHI)D252000-08-07Yes188 Lbs6 ft1NoNoNo1Pro & Farm950,000$643,229$950,000$643,229$0$0$NoLien / Lien NHL
Albert JohanssonPhantoms (PHI)D242001-01-04Yes168 Lbs6 ft0NoNoNo1Pro & Farm950,000$643,229$950,000$643,229$0$0$NoLien / Lien NHL
Axel Jonsson-FjallbyPhantoms (PHI)LW/RW271998-02-10Yes189 Lbs6 ft1NoNoNo1Pro & Farm750,000$507,812$750,000$507,812$0$0$NoLien / Lien NHL
Daniil MisyulPhantoms (PHI)D242000-10-20Yes176 Lbs6 ft3NoNoNo2Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$Lien / Lien NHL
Danil GushchinPhantoms (PHI)LW232002-02-06Yes165 Lbs5 ft8NoNoNo1Pro & Farm950,000$643,229$950,000$643,229$0$0$NoLien / Lien NHL
Dawson BarteauxPhantoms (PHI)D252000-01-12Yes185 Lbs6 ft1NoNoNo2Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$Lien / Lien NHL
Dylan GarandPhantoms (PHI)G232002-06-07Yes173 Lbs6 ft0NoNoNo1Pro & Farm950,000$643,229$950,000$643,229$0$0$NoLien / Lien NHL
Elias D. PetterssonPhantoms (PHI)D212004-02-16Yes185 Lbs6 ft2NoNoNo3Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$950,000$Lien / Lien NHL
Felix Unger SorumPhantoms (PHI)RW202005-09-14Yes184 Lbs6 ft0NoNoNo3Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$950,000$Lien / Lien NHL
Jack StudnickaPhantoms (PHI)C261999-02-18Yes187 Lbs6 ft1NoNoNo2Pro & Farm850,000$575,521$850,000$575,521$0$0$No850,000$Lien / Lien NHL
Jake BischoffPhantoms (PHI)D311994-07-25No188 Lbs6 ft1NoNoNo1Pro & Farm950,000$643,229$950,000$643,229$0$0$NoLien / Lien NHL
Jamieson ReesPhantoms (PHI)C242001-02-26Yes172 Lbs5 ft11NoNoNo1Pro & Farm800,000$541,667$800,000$541,667$0$0$NoLien / Lien NHL
Jonas RondbjergPhantoms (PHI)LW/RW261999-03-31Yes204 Lbs6 ft2NoNoNo2Pro & Farm999,999$677,083$999,999$677,083$0$0$No999,999$Lien / Lien NHL
Joona KoppanenPhantoms (PHI)C/LW271998-02-25No215 Lbs6 ft5NoNoNo1Pro & Farm999,999$677,083$999,999$677,083$0$0$NoLien / Lien NHL
Kevin MandolesePhantoms (PHI)G252000-08-22Yes180 Lbs6 ft4NoNoNo2Pro & Farm999,999$677,083$999,999$677,083$0$0$No999,999$Lien / Lien NHL
Kyle BurroughsPhantoms (PHI)D301995-07-12No193 Lbs6 ft0NoNoNo1Pro & Farm750,000$507,812$750,000$507,812$0$0$NoLien / Lien NHL
Lukas ReichelPhantoms (PHI)LW/RW232002-05-17Yes170 Lbs6 ft0NoNoNo1Pro & Farm999,999$677,083$999,999$677,083$0$0$NoLien / Lien NHL
Marat KhusnutdinovPhantoms (PHI)C232002-07-17Yes176 Lbs5 ft11NoNoNo2Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$Lien / Lien NHL
Matt VillaltaPhantoms (PHI)G261999-06-03Yes190 Lbs6 ft3NoNoNo1Pro & Farm750,000$507,812$750,000$507,812$0$0$NoLien / Lien NHL
Nicolas Aube-KubelPhantoms (PHI)C/RW291996-05-10No213 Lbs6 ft0NoNoNo2Pro & Farm750,000$507,812$750,000$507,812$0$0$No750,000$Lien / Lien NHL
Nikita PrishchepovPhantoms (PHI)C212004-02-20No194 Lbs6 ft1NoNoNo3Pro & Farm999,999$677,083$999,999$677,083$0$0$No999,999$999,999$Lien / Lien NHL
Nikke KokkoPhantoms (PHI)G212004-03-14Yes184 Lbs6 ft3NoNoNo3Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$950,000$Lien / Lien NHL
Parker FordPhantoms (PHI)RW252000-07-20Yes181 Lbs5 ft9NoNoNo2Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$Lien / Lien NHL
Rory KerinsPhantoms (PHI)C232002-04-12Yes175 Lbs5 ft10NoNoNo2Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$Lien / Lien NHL
Samuel BolducPhantoms (PHI)D242000-12-09Yes224 Lbs6 ft4NoNoNo1Pro & Farm892,000$603,958$892,000$603,958$0$0$NoLien / Lien NHL
Samuel KnazkoPhantoms (PHI)D232002-08-07Yes198 Lbs6 ft1NoNoNo1Pro & Farm950,000$643,229$950,000$643,229$0$0$NoLien / Lien NHL
Sergei MurashovPhantoms (PHI)G212004-04-01Yes175 Lbs6 ft2NoNoNo3Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$950,000$Lien / Lien NHL
Vladislav KolyachonokPhantoms (PHI)D242001-05-26Yes195 Lbs6 ft2NoNoNo2Pro & Farm999,999$677,083$999,999$677,083$0$0$No999,999$Lien / Lien NHL
William LockwoodPhantoms (PHI)RW271998-06-20Yes178 Lbs6 ft0NoNoNo1Pro & Farm750,000$507,812$750,000$507,812$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2924.52186 Lbs6 ft11.69915,241$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas ReichelNicolas Aube-Kubel35122
2Danil GushchinMarat KhusnutdinovJonas Rondbjerg30122
3Axel Jonsson-FjallbyJoona Koppanen20122
4Lukas ReichelJack StudnickaWilliam Lockwood15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam Wilsby40122
2Kyle BurroughsVladislav Kolyachonok30122
3Albert JohanssonElias D. Pettersson20122
4Jake Bischoff10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas ReichelNicolas Aube-Kubel60122
2Danil GushchinMarat KhusnutdinovJonas Rondbjerg40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam Wilsby60122
2Kyle BurroughsVladislav Kolyachonok40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lukas Reichel60122
2Nicolas Aube-KubelMarat Khusnutdinov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam Wilsby60122
2Kyle BurroughsVladislav Kolyachonok40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lukas Reichel60122Adam Wilsby60122
240122Kyle BurroughsVladislav Kolyachonok40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lukas Reichel60122
2Nicolas Aube-KubelMarat Khusnutdinov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam Wilsby60122
2Kyle BurroughsVladislav Kolyachonok40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas ReichelNicolas Aube-KubelAdam Wilsby
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas ReichelNicolas Aube-KubelAdam Wilsby
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joona Koppanen, Jack Studnicka, Axel Jonsson-FjallbyJoona Koppanen, Jack StudnickaAxel Jonsson-Fjallby
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Albert Johansson, Elias D. Pettersson, Jake BischoffAlbert JohanssonElias D. Pettersson, Jake Bischoff
Tirs de pénalité
Lukas Reichel, , Nicolas Aube-Kubel, Marat Khusnutdinov, Danil Gushchin
Gardien
#1 : Matt Villalta, #2 : Nikke Kokko
Lignes d’attaque personnalisées en prolongation
Lukas Reichel, , Nicolas Aube-Kubel, Marat Khusnutdinov, Danil Gushchin, Joona Koppanen, Joona Koppanen, Jonas Rondbjerg, Jack Studnicka, Axel Jonsson-Fjallby,
Lignes de défense personnalisées en prolongation
, Adam Wilsby, Kyle Burroughs, Vladislav Kolyachonok, Albert Johansson


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
1Admirals21001000972110000005411000100043141.000917260040362927235036337210541218397228.57%8275.00%0592104356.76%51391855.88%23243553.33%728522560187346183
2Americans11000000312110000003120000000000021.00036900403629221350363372102110420200.00%20100.00%0592104356.76%51391855.88%23243553.33%728522560187346183
3Checkers330000002010101100000053222000000157861.000203656004036292163350363372101212410758787.50%4175.00%0592104356.76%51391855.88%23243553.33%728522560187346183
4Condors11000000202110000002020000000000021.0002460140362923335036337210207220300.00%10100.00%0592104356.76%51391855.88%23243553.33%728522560187346183
5Crunch1000000134-1000000000001000000134-110.500358004036292303503633721031122225120.00%10100.00%0592104356.76%51391855.88%23243553.33%728522560187346183
6Devils21100000541110000005141010000003-320.5005101500403629282350363372105617164211436.36%70100.00%0592104356.76%51391855.88%23243553.33%728522560187346183
7Eagles1010000035-21010000035-20000000000000.00035800403629235350363372102666273133.33%3166.67%0592104356.76%51391855.88%23243553.33%728522560187346183
8Firebirds11000000642110000006420000000000021.000671300403629244350363372102273526200.00%3166.67%0592104356.76%51391855.88%23243553.33%728522560187346183
9Marlies1010000024-21010000024-20000000000000.00024600403629229350363372103391228200.00%6266.67%0592104356.76%51391855.88%23243553.33%728522560187346183
10Moose1010000035-21010000035-20000000000000.00036910403629242350363372103810828200.00%4175.00%0592104356.76%51391855.88%23243553.33%728522560187346183
11Penguins21100000752211000007520000000000020.5007121900403629285350363372105822163710330.00%6266.67%0592104356.76%51391855.88%23243553.33%728522560187346183
12Rocket1010000034-1000000000001010000034-100.00035800403629230350363372103511813200.00%4175.00%0592104356.76%51391855.88%23243553.33%728522560187346183
13Senators200001106601000010034-11000001032130.750691500403629278350363372106824144814321.43%7185.71%0592104356.76%51391855.88%23243553.33%728522560187346183
14Sound Tigers2020000047-31010000013-21010000034-100.0004812004036292663503633721057206495120.00%3166.67%0592104356.76%51391855.88%23243553.33%728522560187346183
15Stars11000000523000000000001100000052321.0005101500403629236350363372104113224200.00%10100.00%0592104356.76%51391855.88%23243553.33%728522560187346183
16Thunderbirds220000001028110000003031100000072541.000101828014036292109350363372106411246100.00%10100.00%0592104356.76%51391855.88%23243553.33%728522560187346183
17Wild11000000734110000007340000000000021.00071320004036292603503633721033111225100.00%50100.00%0592104356.76%51391855.88%23243553.33%728522560187346183
18Wolves11000000505000000000001100000050521.0005914014036292323503633721033124233133.33%20100.00%0592104356.76%51391855.88%23243553.33%728522560187346183
19Wranglers11000000422110000004220000000000021.000481200403629241350363372102454156233.33%2150.00%0592104356.76%51391855.88%23243553.33%728522560187346183
Total271580111110775321610500100594415115301011483117360.667107192299134036292108835036337210835243181607892528.09%701480.00%0592104356.76%51391855.88%23243553.33%728522560187346183
_Since Last GM Reset271580111110775321610500100594415115301011483117360.667107192299134036292108835036337210835243181607892528.09%701480.00%0592104356.76%51391855.88%23243553.33%728522560187346183
_Vs Conference16760011158451384300100262158330001132248180.563581041620140362926163503633721051316192357622032.26%42880.95%0592104356.76%51391855.88%23243553.33%728522560187346183
_Vs Division73400000211654220000013943120000087160.42921396001403629226535036337210204714215129931.03%18383.33%0592104356.76%51391855.88%23243553.33%728522560187346183

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2736L1107192299108883524318160713
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
27158111110775
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1610501005944
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
115310114831
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
892528.09%701480.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
350363372104036292
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
592104356.76%51391855.88%23243553.33%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
728522560187346183


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
3 - 2025-10-0912Phantoms10Checkers4AWSommaire du match
5 - 2025-10-1130Phantoms5Wolves0AWSommaire du match
7 - 2025-10-1344Checkers3Phantoms5BWSommaire du match
10 - 2025-10-1665Moose5Phantoms3BLSommaire du match
12 - 2025-10-1881Wild3Phantoms7BWSommaire du match
14 - 2025-10-2094Firebirds4Phantoms6BWSommaire du match
17 - 2025-10-23113Phantoms3Senators2AWXXSommaire du match
19 - 2025-10-25127Sound Tigers3Phantoms1BLSommaire du match
22 - 2025-10-28150Penguins1Phantoms5BWSommaire du match
24 - 2025-10-30170Admirals4Phantoms5BWSommaire du match
26 - 2025-11-01188Marlies4Phantoms2BLSommaire du match
27 - 2025-11-02196Wranglers2Phantoms4BWSommaire du match
29 - 2025-11-04204Phantoms3Rocket4ALSommaire du match
31 - 2025-11-06223Phantoms4Admirals3AWXSommaire du match
33 - 2025-11-08232Senators4Phantoms3BLXSommaire du match
37 - 2025-11-12266Condors0Phantoms2BWSommaire du match
39 - 2025-11-14281Phantoms7Thunderbirds2AWSommaire du match
40 - 2025-11-15293Phantoms5Stars2AWSommaire du match
45 - 2025-11-20323Thunderbirds0Phantoms3BWSommaire du match
47 - 2025-11-22339Devils1Phantoms5BWSommaire du match
49 - 2025-11-24353Phantoms3Crunch4ALXXSommaire du match
51 - 2025-11-26363Phantoms5Checkers3AWSommaire du match
53 - 2025-11-28381Phantoms3Sound Tigers4ALSommaire du match
54 - 2025-11-29395Phantoms0Devils3ALSommaire du match
56 - 2025-12-01407Penguins4Phantoms2BLSommaire du match
58 - 2025-12-03423Americans1Phantoms3BWSommaire du match
62 - 2025-12-07453Eagles5Phantoms3BLSommaire du match
64 - 2025-12-09469Barracuda-Phantoms-
66 - 2025-12-11483Silver Knights-Phantoms-
68 - 2025-12-13501Wolves-Phantoms-
69 - 2025-12-14510Phantoms-Wolves-
71 - 2025-12-16521Phantoms-Rocket-
73 - 2025-12-18540Phantoms-Americans-
75 - 2025-12-20549Phantoms-Wolf Pack-
77 - 2025-12-22572Comets-Phantoms-
78 - 2025-12-23583Phantoms-IceHogs-
83 - 2025-12-28605Phantoms-Firebirds-
85 - 2025-12-30621Phantoms-Comets-
86 - 2025-12-31630Phantoms-Wranglers-
89 - 2026-01-03647Phantoms-Condors-
92 - 2026-01-06669Gulls-Phantoms-
94 - 2026-01-08686Marlies-Phantoms-
96 - 2026-01-10705Crunch-Phantoms-
98 - 2026-01-12719Crunch-Phantoms-
100 - 2026-01-14736Phantoms-Americans-
101 - 2026-01-15741Phantoms-Penguins-
103 - 2026-01-17755Wolf Pack-Phantoms-
105 - 2026-01-19775Phantoms-Silver Knights-
107 - 2026-01-21790Phantoms-Roadrunners-
109 - 2026-01-23805Phantoms-Eagles-
112 - 2026-01-26827Sound Tigers-Phantoms-
114 - 2026-01-28840Phantoms-Monsters-
115 - 2026-01-29843Phantoms-Bruins-
117 - 2026-01-31859Reign-Phantoms-
120 - 2026-02-03887Bears-Phantoms-
122 - 2026-02-05906Senators-Phantoms-
142 - 2026-02-25911Phantoms-Bears-
143 - 2026-02-26924Phantoms-Wolf Pack-
145 - 2026-02-28935Bruins-Phantoms-
147 - 2026-03-02954Phantoms-Marlies-
150 - 2026-03-05976Roadrunners-Phantoms-
152 - 2026-03-07993Phantoms-Penguins-
154 - 2026-03-091008Wolf Pack-Phantoms-
156 - 2026-03-111026Bears-Phantoms-
157 - 2026-03-121035Phantoms-Wild-
159 - 2026-03-141052Monsters-Phantoms-
163 - 2026-03-181082Phantoms-Gulls-
164 - 2026-03-191093Phantoms-Reign-
166 - 2026-03-211103Phantoms-Barracuda-
169 - 2026-03-241125Monsters-Phantoms-
171 - 2026-03-261142IceHogs-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281163Phantoms-Griffins-
174 - 2026-03-291172Stars-Phantoms-
176 - 2026-03-311184Phantoms-Bears-
178 - 2026-04-021195Griffins-Phantoms-
179 - 2026-04-031205Phantoms-Sound Tigers-
181 - 2026-04-051224Bruins-Phantoms-
183 - 2026-04-071236Phantoms-Devils-
185 - 2026-04-091247Phantoms-Griffins-
187 - 2026-04-111272Phantoms-Moose-
189 - 2026-04-131284Wolves-Phantoms-
190 - 2026-04-141294Rocket-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3020
Assistance31,32313,594
Assistance PCT97.88%84.96%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-6 2807 - 93.58% 94,654$1,514,463$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,011,668$ 2,654,200$ 2,654,200$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 844,893$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-567,924$ 130 16,428$ 2,135,640$




Phantoms Leaders statistiques (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
1Lukas Reichel1096275137403010824649012.65%47264324.251521368621399254.74%21.0426
2Jack Quinn824968117182815925541211.89%19200324.43152136782241010343.28%41.1704
3Axel Jonsson-Fjallby1063347809217415732310.22%29187817.72810185501156148.68%00.8512
4Nathan Walker77314374135216716830310.23%20151519.68614205810133251.35%10.9824
5Vladislav Kolyachonok105185573193413512617310.40%158225621.4971724810111210.00%00.6500

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
1Matt Villalta1096035110.9043.1163778833034480530.73719
2Nikke Kokko41000.9780.53113001450000.0000
3Kevin Mandolese41100.9132.5594004460100.0000

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
2024823728067223082664241221004401161120414115180232114714619930855586325110109811130901025104498749270783864419872856723.51%2685479.85%51649323950.91%1481294050.37%730135154.03%1981137819326021048522
202527158011111077532161050010059441511530101148311736107192299134036292108835036337210835243181607892528.09%701480.00%0592104356.76%51391855.88%23243553.33%728522560187346183
Total Saison régulière1095236078334153417457321504501220164565220210333219517718135415747116238150145110134178137514071359593542108182525943749224.60%3386879.88%52241428252.34%1994385851.68%962178653.86%2709190024937891395705
Séries éliminatoires
20247340000022220422000001310331200000912-362240620097512367280795222657114625312.00%27581.48%013225052.80%13227248.53%6511258.04%171116161539245
Total Séries éliminatoires7340000022220422000001310331200000912-362240620097512367280795222657114625312.00%27581.48%013225052.80%13227248.53%6511258.04%171116161539245

Phantoms Leaders statistiques (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
1Rourke Chartier7448207171822.22%113919.92101200000154.12%01.1500
2Jack Quinn734722915348.82%017224.57011600010041.79%00.8100
3Kyle Burroughs70771213470.00%1312718.2001120000000.00%01.1000
4Nicolas Aube-Kubel7257121811219.52%011917.06011200000142.69%01.1700
5Nathan Walker74371013232714.81%413319.03101300001064.00%11.0500

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
1Matt Villalta73400.9013.1540020212130000.0000
2Kevin Mandolese10000.8892.612300190000.0000