Phantoms
GP: 60 | W: 34 | L: 21 | OTL: 5 | P: 73
GF: 223 | GA: 185 | PP%: 24.61% | PK%: 82.17%
DG: Samuel Bessette | Morale : 75 | Moyenne d’équipe : 63
Prochain matchs #976 vs Roadrunners
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Centre de jeu
Bruins
44-13-2, 90pts
5
FINAL
2 Phantoms
34-21-5, 73pts
Team Stats
W1StreakW1
24-6-1Home Record19-10-1
20-7-1Away Record15-11-4
7-2-1Last 10 Games5-3-2
4.44Buts par match 3.72
3.10Buts contre par match 3.08
25.87%Pourcentage en avantage numérique24.61%
84.26%Pourcentage en désavantage numérique82.17%
Phantoms
34-21-5, 73pts
5
FINAL
4 Marlies
33-24-4, 70pts
Team Stats
W1StreakOTL1
19-10-1Home Record19-12-2
15-11-4Away Record14-12-2
5-3-2Last 10 Games4-4-2
3.72Buts par match 4.07
3.08Buts contre par match 3.49
24.61%Pourcentage en avantage numérique25.67%
82.17%Pourcentage en désavantage numérique80.00%
Roadrunners
35-20-5, 75pts
2026-03-05
Phantoms
34-21-5, 73pts
Statistiques d’équipe
L1SéquenceW1
21-8-1Fiche domicile19-10-1
14-12-4Fiche visiteur15-11-4
6-3-110 derniers matchs5-3-2
3.92Buts par match 3.72
3.10Buts contre par match 3.08
19.78%Pourcentage en avantage numérique24.61%
77.53%Pourcentage en désavantage numérique82.17%
Phantoms
34-21-5, 73pts
2026-03-07
Penguins
38-18-3, 79pts
Statistiques d’équipe
W1SéquenceW1
19-10-1Fiche domicile21-8-1
15-11-4Fiche visiteur17-10-2
5-3-210 derniers matchs4-3-3
3.72Buts par match 4.31
3.08Buts contre par match 3.10
24.61%Pourcentage en avantage numérique25.27%
82.17%Pourcentage en désavantage numérique78.85%
Wolf Pack
31-22-7, 69pts
2026-03-09
Phantoms
34-21-5, 73pts
Statistiques d’équipe
L1SéquenceW1
14-10-4Fiche domicile19-10-1
17-12-3Fiche visiteur15-11-4
5-5-010 derniers matchs5-3-2
3.77Buts par match 3.72
3.45Buts contre par match 3.08
20.45%Pourcentage en avantage numérique24.61%
79.71%Pourcentage en désavantage numérique82.17%
Meneurs d'équipe
Matt VillaltaVictoires
Matt Villalta
33
Nikke KokkoPourcentage d’arrêts
Nikke Kokko
0.938

Statistiques d’équipe
Buts pour
223
3.72 GFG
Tirs pour
2286
38.10 Avg
Pourcentage en avantage numérique
24.6%
47 GF
Début de zone offensive
42.7%
Buts contre
185
3.08 GAA
Tirs contre
1990
33.17 Avg
Pourcentage en désavantage numérique
82.2%
28 GA
Début de la zone défensive
39.4%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,874
Billets de saison300


Information formation

Équipe Pro29
Équipe Mineure21
Limite contact 50 / 80
Espoirs51


Historique d'équipe

Saison actuelle34-21-5 (73PTS)
Historique79-49-14 (0.556%)
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
1Rory Kerins (R)0X100.00613593686585836769666564686365075650232950,000$
2Lukas Reichel (R)0XX100.00613694706981876774686063666567075650231999,999$
3Danil Gushchin (R)0X100.00613684676290846668636561696365075640231950,000$
4Marat Khusnutdinov (R)0X100.00673491696880776375616071596263075640232950,000$
5Joona Koppanen0XX100.00823889619278845963605862576769075640271999,999$
6Axel Jonsson-Fjallby (R)0XX100.00703793647579856258605961636769075630271750,000$
7Jonas Rondbjerg (R)0XX100.00693894618281855955605864576668075630262999,999$
8Parker Ford (R)0X100.00653874616885825961586357666567075610252950,000$
9William Lockwood (R)0X100.00693987607177805755595856606769075610271750,000$
10Samuel Bolduc (R)0X100.00784095639180816430626061536567075650241892,000$
11Kyle Burroughs0X100.00836871637386806230645469497173075640301750,000$
12Vladislav Kolyachonok (R)0X100.00693889677977746530666063526466075640242999,999$
13Albert Johansson (R)0X100.00663881656883846430635665516466075630241950,000$
14Jake Bischoff0X100.00663982627576825630605355467176075610311950,000$
Rayé
1Nicolas Aube-Kubel0XX100.00786285667778806459616263627170075650292750,000$
2Jack Studnicka (R)0X100.00733979637587846468605865626668075630262850,000$
3Nikita Prishchepov0X100.00673980567673715764585955576163075600213999,999$
4Felix Unger Sorum (R)0X100.00623794597169715761585456556062075590203950,000$
5Jamieson Rees (R)0X100.00573689586769775563565453586466075580241800,000$
6Adam Wilsby (R)0X100.00653888667585786530645863516567075640251950,000$
7Elias D. Pettersson (R)0X100.00684074647778736230605663496163075610213950,000$
8Daniil Misyul (R)0X100.00694170598076795830575560486567075600242950,000$
9Samuel Knazko (R)0X100.00683892587764785530575456466365075600231950,000$
10Dawson 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/RW604141821580301982858823714.39%28148324.731110216218500051657459.81%52000111.1105000793
2Marat KhusnutdinovPhantoms (PHI)C603042721024098267314962509.55%29140923.4981220521310001504158.30%180800011.0213000477
3Nicolas Aube-KubelPhantoms (PHI)C/RW5324305415235127862216315110.86%1195718.078715541510004434152.29%10900001.1314100436
4Danil GushchinPhantoms (PHI)LW602922511022070121298852389.73%14135222.55581345133000014246.67%10500020.7511000413
5Jonas RondbjergPhantoms (PHI)LW/RW6093241620091103196451374.59%15133222.205101538130000001047.17%10600000.6201000031
6Vladislav KolyachonokPhantoms (PHI)D607334018037698027648.75%76114719.133582477000169000.00%100000.7001000010
7Kyle BurroughsPhantoms (PHI)D6063036-4680199787430578.11%84121120.20381129790000551028.57%1400000.5901000202
8Joona KoppanenPhantoms (PHI)C/LW60171835-42751141461534610911.11%16108118.020115210000154255.45%129300010.6511001131
9Albert JohanssonPhantoms (PHI)D605263111301077575518399.09%80101116.86000510000010022.22%900000.6100011013
10William LockwoodPhantoms (PHI)RW6010192912601047797216410.31%25123020.5100001000001050.22%45000000.4701000101
11Axel Jonsson-FjallbyPhantoms (PHI)LW/RW6091827-101554083147341036.12%985414.24000450003530046.90%14500000.6301001012
12Adam WilsbyPhantoms (PHI)D3361925104035407927407.59%3765219.7838114198000177000.00%000000.7701000012
13Samuel BolducPhantoms (PHI)D20315181618039214016227.50%2948024.05145855000139000.00%000000.7500000021
14Elias D. PetterssonPhantoms (PHI)D5131417851567414313216.98%3874314.58000000000261133.33%1500000.4600001101
15Rory KerinsPhantoms (PHI)C1471017800104066173910.61%430121.5602212420002461057.02%35600011.1301000020
16Jake BischoffPhantoms (PHI)D6021214022068272310148.70%575969.940001200001001100.00%400000.4700000000
17Jack StudnickaPhantoms (PHI)C3545956040534511368.89%32727.7800013000002055.26%22800000.6600000001
18Parker FordPhantoms (PHI)RW10617240117227927.27%312712.7800000000002070.00%1000001.1000000200
Statistiques d’équipe totales ou en moyenne8762183876051003763012571514223865416309.74%5581624918.554775122381113100018656321255.73%517300160.74421114263434
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)60332150.9083.0734206317518930110.76221600602
2Nikke KokkoPhantoms (PHI)81000.9381.71211006960000.0000060000
Statistiques d’équipe totales ou en moyenne68342150.9092.9936316318119890110.762216060602


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$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Albert JohanssonPhantoms (PHI)D242001-01-04Yes168 Lbs6 ft0NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Axel Jonsson-FjallbyPhantoms (PHI)LW/RW271998-02-10Yes189 Lbs6 ft1NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
Daniil MisyulPhantoms (PHI)D242000-10-20Yes176 Lbs6 ft3NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Danil GushchinPhantoms (PHI)LW232002-02-06Yes165 Lbs5 ft8NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Dawson BarteauxPhantoms (PHI)D252000-01-12Yes185 Lbs6 ft1NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Dylan GarandPhantoms (PHI)G232002-06-07Yes173 Lbs6 ft0NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Elias D. PetterssonPhantoms (PHI)D212004-02-16Yes185 Lbs6 ft2NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Felix Unger SorumPhantoms (PHI)RW202005-09-14Yes184 Lbs6 ft0NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Jack StudnickaPhantoms (PHI)C261999-02-18Yes187 Lbs6 ft1NoNoNo2Pro & Farm850,000$199,219$850,000$199,219$0$0$No850,000$Lien / Lien NHL
Jake BischoffPhantoms (PHI)D311994-07-25No188 Lbs6 ft1NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Jamieson ReesPhantoms (PHI)C242001-02-26Yes172 Lbs5 ft11NoNoNo1Pro & Farm800,000$187,500$800,000$187,500$0$0$NoLien / Lien NHL
Jonas RondbjergPhantoms (PHI)LW/RW261999-03-31Yes204 Lbs6 ft2NoNoNo2Pro & Farm999,999$234,375$999,999$234,375$0$0$No999,999$Lien / Lien NHL
Joona KoppanenPhantoms (PHI)C/LW271998-02-25No215 Lbs6 ft5NoNoNo1Pro & Farm999,999$234,375$999,999$234,375$0$0$NoLien / Lien NHL
Kevin MandolesePhantoms (PHI)G252000-08-22Yes180 Lbs6 ft4NoNoNo2Pro & Farm999,999$234,375$999,999$234,375$0$0$No999,999$Lien / Lien NHL
Kyle BurroughsPhantoms (PHI)D301995-07-12No193 Lbs6 ft0NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
Lukas ReichelPhantoms (PHI)LW/RW232002-05-17Yes170 Lbs6 ft0NoNoNo1Pro & Farm999,999$234,375$999,999$234,375$0$0$NoLien / Lien NHL
Marat KhusnutdinovPhantoms (PHI)C232002-07-17Yes176 Lbs5 ft11NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Matt VillaltaPhantoms (PHI)G261999-06-03Yes190 Lbs6 ft3NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$0$0$NoLien / Lien NHL
Nicolas Aube-KubelPhantoms (PHI)C/RW291996-05-10No213 Lbs6 ft0NoNoNo2Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$Lien / Lien NHL
Nikita PrishchepovPhantoms (PHI)C212004-02-20No194 Lbs6 ft1NoNoNo3Pro & Farm999,999$234,375$999,999$234,375$0$0$No999,999$999,999$Lien / Lien NHL
Nikke KokkoPhantoms (PHI)G212004-03-14Yes184 Lbs6 ft3NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Parker FordPhantoms (PHI)RW252000-07-20Yes181 Lbs5 ft9NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Rory KerinsPhantoms (PHI)C232002-04-12Yes175 Lbs5 ft10NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Samuel BolducPhantoms (PHI)D242000-12-09Yes224 Lbs6 ft4NoNoNo1Pro & Farm892,000$209,062$892,000$209,062$0$0$NoLien / Lien NHL
Samuel KnazkoPhantoms (PHI)D232002-08-07Yes198 Lbs6 ft1NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Sergei MurashovPhantoms (PHI)G212004-04-01Yes175 Lbs6 ft2NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Vladislav KolyachonokPhantoms (PHI)D242001-05-26Yes195 Lbs6 ft2NoNoNo2Pro & Farm999,999$234,375$999,999$234,375$0$0$No999,999$Lien / Lien NHL
William LockwoodPhantoms (PHI)RW271998-06-20Yes178 Lbs6 ft0NoNoNo1Pro & Farm750,000$175,781$750,000$175,781$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 Reichel35122
2Danil GushchinMarat KhusnutdinovJonas Rondbjerg30122
3Axel Jonsson-FjallbyJoona Koppanen20122
4Lukas ReichelWilliam Lockwood15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Kyle BurroughsVladislav Kolyachonok30122
3Albert Johansson20122
4Jake Bischoff10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas Reichel60122
2Danil GushchinMarat KhusnutdinovJonas Rondbjerg40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Kyle BurroughsVladislav Kolyachonok40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lukas Reichel60122
2Marat Khusnutdinov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Kyle BurroughsVladislav Kolyachonok40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lukas Reichel6012260122
240122Kyle BurroughsVladislav Kolyachonok40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lukas Reichel60122
2Marat Khusnutdinov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Kyle BurroughsVladislav Kolyachonok40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas Reichel
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas Reichel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joona Koppanen, , Axel Jonsson-FjallbyJoona Koppanen, Axel Jonsson-Fjallby
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Albert Johansson, , Jake BischoffAlbert Johansson, Jake Bischoff
Tirs de pénalité
Lukas Reichel, , , Marat Khusnutdinov, Danil Gushchin
Gardien
#1 : Matt Villalta, #2 : Nikke Kokko
Lignes d’attaque personnalisées en prolongation
Lukas Reichel, , , Marat Khusnutdinov, Danil Gushchin, Joona Koppanen, Joona Koppanen, Jonas Rondbjerg, , Axel Jonsson-Fjallby,
Lignes de défense personnalisées en prolongation
, , 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
1Admirals21001000972110000005411000100043141.000917260082756177275177375033541218397228.57%8275.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
2Americans31101000972110000003122010100066040.667917260082756178975177375033105421662600.00%8187.50%01279229155.83%1189211456.24%49795951.82%156511191306418764394
3Barracuda1010000023-11010000023-10000000000000.00024600827561737751773750332316422100.00%20100.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
4Bears2010000146-21010000023-11000000123-110.2504812008275617617517737503377241622100.00%7185.71%01279229155.83%1189211456.24%49795951.82%156511191306418764394
5Bruins2110000068-21010000025-31100000043120.500612180082756176475177375033641915348112.50%50100.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
6Checkers330000002010101100000053222000000157861.000203656008275617163751773750331212410758787.50%4175.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
7Comets21000010752100000104311100000032141.000710170082756178275177375033881810419222.22%5180.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
8Condors21100000440110000002021010000024-220.500481201827561765751773750335622638400.00%3166.67%01279229155.83%1189211456.24%49795951.82%156511191306418764394
9Crunch3200000114862200000011471000000134-150.83314233700827561795751773750331153922669333.33%11190.91%01279229155.83%1189211456.24%49795951.82%156511191306418764394
10Devils21100000541110000005141010000003-320.5005101500827561782751773750335617164211436.36%70100.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
11Eagles2020000048-41010000035-21010000013-200.00046100082756177575177375033581212408112.50%5180.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
12Firebirds220000001174110000006421100000053241.000111526008275617717517737503350163954400.00%5260.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
13Gulls11000000431110000004310000000000021.000471100827561760751773750332811217400.00%10100.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
14IceHogs1010000014-3000000000001010000014-300.0001230082756172475177375033499112211100.00%3166.67%01279229155.83%1189211456.24%49795951.82%156511191306418764394
15Marlies3110100011101211000006601000100054140.6671121320082756171087517737503310731286010110.00%12283.33%01279229155.83%1189211456.24%49795951.82%156511191306418764394
16Monsters1000000134-1000000000001000000134-110.5003580082756172475177375033421213164125.00%30100.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
17Moose1010000035-21010000035-20000000000000.00036910827561742751773750333810828200.00%4175.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
18Penguins312000001012-2211000007521010000037-420.333101727008275617113751773750339832225510330.00%9277.78%01279229155.83%1189211456.24%49795951.82%156511191306418764394
19Reign11000000211110000002110000000000021.00024600827561739751773750332112628200.00%20100.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
20Roadrunners1010000024-2000000000001010000024-200.00024600827561738751773750333084298112.50%2150.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
21Rocket21100000880000000000002110000088020.500815230082756177775177375033762616435120.00%8187.50%01279229155.83%1189211456.24%49795951.82%156511191306418764394
22Senators30100110711-42010010049-51000001032130.50071118008275617111751773750339330147116318.75%7185.71%01279229155.83%1189211456.24%49795951.82%156511191306418764394
23Silver Knights22000000185131100000083511000000102841.0001829470082756171197517737503363216569444.44%3166.67%01279229155.83%1189211456.24%49795951.82%156511191306418764394
24Sound Tigers31200000880211000005411010000034-120.333814220082756179975177375033892814669222.22%7185.71%01279229155.83%1189211456.24%49795951.82%156511191306418764394
25Stars11000000523000000000001100000052321.0005101500827561736751773750334113224200.00%10100.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
26Thunderbirds220000001028110000003031100000072541.000101828018275617109751773750336411246100.00%10100.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
27Wild11000000734110000007340000000000021.00071320008275617607517737503333111225100.00%50100.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
28Wolf Pack311001001112-11010000045-12100010077030.5001122330082756171057517737503311339186213646.15%8450.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
29Wolves321000001165110000004222110000074340.6671121320182756179175177375033833116679222.22%7185.71%01279229155.83%1189211456.24%49795951.82%156511191306418764394
30Wranglers2110000078-1110000004221010000036-320.50071421008275617757517737503355158369222.22%4175.00%01279229155.83%1189211456.24%49795951.82%156511191306418764394
Total60292103223223185383018100011011184273011110311311210111730.608223399622138275617228675177375033199061138612861914724.61%1572882.17%01279229155.83%1189211456.24%49795951.82%156511191306418764394
_Since Last GM Reset60292103223223185383018100011011184273011110311311210111730.608223399622138275617228675177375033199061138612861914724.61%1572882.17%01279229155.83%1189211456.24%49795951.82%156511191306418764394
_Vs Conference361513022131271141317970010058481019660211369663410.56912723235901827561712827517737503312393942367411193428.57%1031684.47%01279229155.83%1189211456.24%49795951.82%156511191306418764394
_Vs Division176800102525208440000027207924001022532-7150.441529714901827561757575177375033558183115330571831.58%48981.25%01279229155.83%1189211456.24%49795951.82%156511191306418764394

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6073W122339962222861990611386128613
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6029213223223185
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
301810011011184
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3011113113112101
Derniers 10 matchs
WLOTWOTL SOWSOL
530002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1914724.61%1572882.17%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
751773750338275617
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
1279229155.83%1189211456.24%49795951.82%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
156511191306418764394


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 - 2025-12-09469Barracuda3Phantoms2BLSommaire du match
66 - 2025-12-11483Silver Knights3Phantoms8BWSommaire du match
68 - 2025-12-13501Wolves2Phantoms4BWSommaire du match
69 - 2025-12-14510Phantoms2Wolves4ALSommaire du match
71 - 2025-12-16521Phantoms5Rocket4AWSommaire du match
73 - 2025-12-18540Phantoms4Americans3AWXSommaire du match
75 - 2025-12-20549Phantoms3Wolf Pack4ALXSommaire du match
77 - 2025-12-22572Comets3Phantoms4BWXXSommaire du match
78 - 2025-12-23583Phantoms1IceHogs4ALSommaire du match
83 - 2025-12-28605Phantoms5Firebirds3AWSommaire du match
85 - 2025-12-30621Phantoms3Comets2AWSommaire du match
86 - 2025-12-31630Phantoms3Wranglers6ALSommaire du match
89 - 2026-01-03647Phantoms2Condors4ALSommaire du match
92 - 2026-01-06669Gulls3Phantoms4BWSommaire du match
94 - 2026-01-08686Marlies2Phantoms4BWSommaire du match
96 - 2026-01-10705Crunch1Phantoms4BWSommaire du match
98 - 2026-01-12719Crunch3Phantoms7BWSommaire du match
100 - 2026-01-14736Phantoms2Americans3ALSommaire du match
101 - 2026-01-15741Phantoms3Penguins7ALSommaire du match
103 - 2026-01-17755Wolf Pack5Phantoms4BLSommaire du match
105 - 2026-01-19775Phantoms10Silver Knights2AWSommaire du match
107 - 2026-01-21790Phantoms2Roadrunners4ALSommaire du match
109 - 2026-01-23805Phantoms1Eagles3ALSommaire du match
112 - 2026-01-26827Sound Tigers1Phantoms4BWSommaire du match
114 - 2026-01-28840Phantoms3Monsters4ALXXSommaire du match
115 - 2026-01-29843Phantoms4Bruins3AWSommaire du match
117 - 2026-01-31859Reign1Phantoms2BWSommaire du match
120 - 2026-02-03887Bears3Phantoms2BLSommaire du match
122 - 2026-02-05906Senators5Phantoms1BLSommaire du match
142 - 2026-02-25911Phantoms2Bears3ALXXSommaire du match
143 - 2026-02-26924Phantoms4Wolf Pack3AWSommaire du match
145 - 2026-02-28935Bruins5Phantoms2BLSommaire du match
147 - 2026-03-02954Phantoms5Marlies4AWXSommaire du match
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
Assistance58,86427,354
Assistance PCT98.11%91.18%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-20 2874 - 95.80% 96,375$2,891,252$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,408,048$ 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$ 2,019,933$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-1,927,501$ 45 16,428$ 739,260$




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 Reichel1428298180383612337064512.71%64345324.322126471272131412456.69%31.0429
2Jack Quinn824968117182815925541211.89%19200324.43152136782241010343.28%41.1704
3Axel Jonsson-Fjallby139376097129992084049.16%36237217.07810185701176146.99%00.8213
4Nicolas Aube-Kubel1354054948722752214109.76%19213315.80911206700045146.60%10.8814
5Vladislav Kolyachonok138217192183815415820510.24%200285320.6881725830111210.00%00.6401

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 Villalta1427748140.9053.14827712843345520530.73534
2Nikke Kokko81000.9381.71211006960000.0000
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
20256029210322322318538301810001101118427301111031131121011173223399622138275617228675177375033199061138612861914724.61%1572882.17%01279229155.83%1189211456.24%49795951.82%156511191306418764394
Total Saison régulière142664909945531451807140200451127220468712629054342592471217253195414853819218414218537617761817173782469714491030327347611423.95%4258280.71%52928553052.95%2670505452.83%1227231053.12%35462497323910201813917
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