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Phantoms
GP: 30 | W: 14 | L: 15 | OTL: 1 | P: 29
GF: 106 | GA: 100 | PP%: 24.14% | PK%: 75.56%
DG: Simon Trottier | Morale : 38 | Moyenne d’équipe : 62
Prochains matchs #510 vs Chicago Wolves

Centre de jeu
Henderson Silver Knights
18-10-3, 39pts
5
4 Phantoms
14-15-1, 29pts
Team Stats
L1SéquenceL4
7-6-2Fiche domicile8-10-1
11-4-1Fiche domicile6-5-0
5-5-0Derniers 10 matchs4-6-0
3.52Buts par match 3.53
3.13Buts contre par match 3.33
15.04%Pourcentage en avantage numérique24.14%
80.17%Pourcentage en désavantage numérique75.56%
Chicago Wolves
15-16-0, 30pts
4
3 Phantoms
14-15-1, 29pts
Team Stats
W2SéquenceL4
6-10-0Fiche domicile8-10-1
9-6-0Fiche domicile6-5-0
6-4-0Derniers 10 matchs4-6-0
3.06Buts par match 3.53
3.26Buts contre par match 3.33
25.00%Pourcentage en avantage numérique24.14%
77.27%Pourcentage en désavantage numérique75.56%
Phantoms
14-15-1, 29pts
2025-12-14
Chicago Wolves
15-16-0, 30pts
Statistiques d’équipe
L4SéquenceW2
8-10-1Fiche domicile6-10-0
6-5-0Fiche visiteur9-6-0
4-6-010 derniers matchs6-4-0
3.53Buts par match 3.06
3.33Buts contre par match 3.06
24.14%Pourcentage en avantage numérique25.00%
75.56%Pourcentage en désavantage numérique77.27%
Phantoms
14-15-1, 29pts
2025-12-16
Laval Rocket
16-12-3, 35pts
Statistiques d’équipe
L4SéquenceW1
8-10-1Fiche domicile6-8-2
6-5-0Fiche visiteur10-4-1
4-6-010 derniers matchs5-5-0
3.53Buts par match 3.61
3.33Buts contre par match 3.61
24.14%Pourcentage en avantage numérique20.17%
75.56%Pourcentage en désavantage numérique82.14%
Phantoms
14-15-1, 29pts
2025-12-18
Rochester Americans
15-14-2, 32pts
Statistiques d’équipe
L4SéquenceL1
8-10-1Fiche domicile10-6-0
6-5-0Fiche visiteur5-8-2
4-6-010 derniers matchs1-8-1
3.53Buts par match 3.71
3.33Buts contre par match 3.71
24.14%Pourcentage en avantage numérique26.19%
75.56%Pourcentage en désavantage numérique73.00%
Meneurs d'équipe
Julien GauthierButs
Julien Gauthier
12
Spencer StastneyPasses
Spencer Stastney
22
Luca Del Bel BelluzPoints
Luca Del Bel Belluz
33
Julien GauthierPlus/Moins
Julien Gauthier
14
Jaxson StauberVictoires
Jaxson Stauber
14
Thomas MilicPourcentage d’arrêts
Thomas Milic
0.963

Statistiques d’équipe
Buts pour
106
3.53 GFG
Tirs pour
1099
36.63 Avg
Pourcentage en avantage numérique
24.1%
28 GF
Début de zone offensive
41.3%
Buts contre
100
3.33 GAA
Tirs contre
1017
33.90 Avg
Pourcentage en désavantage numérique
75.6%%
22 GA
Début de la zone défensive
41.0%
Informations de l'équipe

Directeur généralSimon Trottier
EntraîneurDominique Ducharme
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,776
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure22
Limite contact 48 / 55
Espoirs7


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
1Julien Gauthier0X100.00824091679180706862656663676970053670281925,000$
2Peyton Krebs0XX100.007449756872829065786661636465670536502511,450,000$
3Rasmus Kupari0XX100.007136937081757665816162696366680496502631,000,000$
4Luca Del Bel Belluz0X100.00633794697483856770686563666264049650222925,000$
5Rodrigo Abols0X100.007639936588777264686162636569710496503031,000,000$
6Axel Jonsson-Fjallby0X100.007037936475798562586063616367690456402831,000,000$
7Nikita Chibrikov0XX100.007036816764887964616366627262640456402311,000,000$
8Justin Hryckowian0X100.006739836471767563726562616364670456302531,000,000$
9Skyler Brind'Amour0X100.006738876279848358665661596266680456202731,000,000$
10Jean-Luc Foudy0X100.005737846468727459666062626163650456102431,000,000$
11Ondrej Pavel0X100.006941735881768257615560595765670456102631,000,000$
12Spencer Stastney0X100.006136956471838163306563685065670456402631,000,000$
13Vladislav Kolyachonok0X100.006938896779777465306660635264660456402531,000,000$
14Connor Carrick0X100.006143676470948563306263575071730336303231,000,000$
15Dillon Heatherington0X100.008042805589658254305356594570720216103131,000,000$
16Topi Niemela0X100.005537856164678459306257554763650456002431,000,000$
17Ryan Mast (R)0X100.008542855294646751305354594562640455902311,000,000$
Rayé
1Logan Morrison0X100.006136956470828663686262566163650256302431,000,000$
2Gemel Smith0X100.006244616071776462716462576071730206103231,000,000$
3Aleksanteri Kaskimaki (R)0X100.006036956169777159696261565861630256102211,000,000$
4Samuel Laberge0X100.007244595682677857545359585668700236002931,000,000$
5Adam Sykora0X100.005935955766828656605860595561630206002111,000,000$
6Andrew Lucas0X100.006137955570656454305854534566680245802731,000,000$
7Jake Furlong (R)0X100.006638925575647154305356554661630205802211,000,000$
MOYENNE D’ÉQUIPE100.0067398562767778615460616057656703862
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
1Jaxson Stauber0100.00758278787473757473757466750336602731,000,000$
2Thomas Milic0100.00718177727069717069717062670536302311,000,000$
Rayé
MOYENNE D’ÉQUIPE100.007382787572717372717372647104365
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme66747572787272CAN5232,500,000$


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
1Luca Del Bel BelluzPhantoms (PHI)C2912213314022110118338510.17%557619.87491324690000292253.17%78800001.1500000112
2Julien GauthierPhantoms (PHI)RW2812172914100514512131709.92%660521.6324623860000151041.82%5500000.9602000331
3Spencer StastneyPhantoms (PHI)D3052227510032527318396.85%6374324.792792894000071100%000000.7300000211
4Peyton KrebsPhantoms (PHI)C/LW28917261312055619732919.28%1268124.3543719860003801050.79%6300000.7611000040
5Vladislav KolyachonokPhantoms (PHI)D30818265320803552183515.38%2672524.1747113395000057110%000000.7200000024
6Maveric LamoureuxFlyersD2441620-1360803539103210.26%3551421.451341972000152000%000000.7800000203
7Nikita ChibrikovPhantoms (PHI)LW/RW3091120-1380605510022709.00%761520.5126819740004382044.68%4700000.6500000201
8Connor CarrickPhantoms (PHI)D2261319-14029203182519.35%2947821.744481675000049010%000000.7900000110
9Rasmus KupariPhantoms (PHI)C/RW2981119-240269910940707.34%1164722.3123532900002850055.66%93600000.5902000200
10Justin HryckowianPhantoms (PHI)C309615160205773213912.33%337112.38011324000190053.85%10400000.8100000202
11Rodrigo AbolsPhantoms (PHI)C2931114214036757328614.11%739913.78000110001141056.80%45600000.7000000000
12Skyler Brind'AmourPhantoms (PHI)C30369-3001252061915.00%01494.991561075000031020.00%1000001.2000000010
13Axel Jonsson-FjallbyPhantoms (PHI)LW30448-910024436119416.56%451117.051015200000121044.44%4500000.3100000000
14Ondrej PavelPhantoms (PHI)C30448-38043224116309.76%936412.1500000000000035.00%4000000.4400000000
15Topi NiemelaPhantoms (PHI)D30257-8004191961510.53%3049816.62000424000139000%200000.2800000000
16Ryan MastPhantoms (PHI)D30156-1340711214277.14%2441713.900000000005100%000000.2900000000
17Logan MorrisonPhantoms (PHI)C8235-10023172911.76%18610.80101620000000053.13%3200001.1600000001
18Aleksanteri KaskimakiPhantoms (PHI)C8213-1002882425.00%0678.3900000000001057.35%6800000.8900000010
19Jean-Luc FoudyPhantoms (PHI)C3002200028147140%0852.8500000000000028.57%700000.4700000000
20Samuel LabergePhantoms (PHI)LW8202-11210126131715.38%39612.1000000000000027.78%1800000.4100011000
21Andrew LucasPhantoms (PHI)D7011400444120%710515.140000000006000%000000.1900000000
Statistiques d’équipe totales ou en moyenne52010519429912041066777410973237659.57%282874116.812852802429120001357013453.54%267100000.6815011151415
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
1Jaxson StauberPhantoms (PHI)30141410.8983.37169321959350210.6005300010
2Thomas MilicPhantoms (PHI)40100.9631.611120038100000030100
Statistiques d’équipe totales ou en moyenne34141510.9043.2618052198101602153030110


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
Adam SykoraPhantoms (PHI)LW212004-09-07SVKNo179 Lbs178 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Aleksanteri KaskimakiPhantoms (PHI)C222004-02-06FINYes181 Lbs180 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Andrew LucasPhantoms (PHI)D271999-02-05USANo179 Lbs183 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Axel Jonsson-FjallbyPhantoms (PHI)LW281998-02-10SWENo189 Lbs185 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Connor CarrickPhantoms (PHI)D321994-04-13USANo198 Lbs178 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Dillon HeatheringtonPhantoms (PHI)D311995-05-09CANNo215 Lbs193 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Gemel SmithPhantoms (PHI)C321994-04-16CANNo203 Lbs178 CMNoNoFantasy DraftYesYes3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jake FurlongPhantoms (PHI)D222004-03-04CANYes189 Lbs185 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Jaxson StauberPhantoms (PHI)G271999-04-27USANo174 Lbs191 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jean-Luc FoudyPhantoms (PHI)C242002-05-13CANNo177 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Julien GauthierPhantoms (PHI)RW281997-10-15CANNo225 Lbs193 CMNoNoTrade2025-08-31NoNo12025-08-17FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Justin HryckowianPhantoms (PHI)C252001-02-23CANNo195 Lbs180 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Logan MorrisonPhantoms (PHI)C242002-07-09CANNo179 Lbs183 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Luca Del Bel BelluzPhantoms (PHI)C222003-11-10CANNo185 Lbs185 CMNoNoTrade2025-09-13NoNo22025-08-17FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Nikita ChibrikovPhantoms (PHI)LW/RW232003-02-16RUSNo170 Lbs178 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Ondrej PavelPhantoms (PHI)C262000-08-29CZENo205 Lbs188 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Peyton KrebsPhantoms (PHI)C/LW252001-01-26CANNo186 Lbs183 CMNoNoTrade2025-08-31NoNo12025-08-17FalseFalsePro & Farm1,450,000$0$0$No---------------------------Lien / Lien NHL
Rasmus KupariPhantoms (PHI)C/RW262000-03-15FINNo201 Lbs188 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Rodrigo AbolsPhantoms (PHI)C301996-01-05LVANo206 Lbs193 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Ryan MastPhantoms (PHI)D232003-01-14USAYes221 Lbs196 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Samuel LabergePhantoms (PHI)LW291997-04-10CANNo206 Lbs188 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Skyler Brind'AmourPhantoms (PHI)C271999-07-27USANo195 Lbs188 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Spencer StastneyPhantoms (PHI)D262000-01-04USANo184 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Thomas MilicPhantoms (PHI)G232003-04-14CANNo175 Lbs183 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Topi NiemelaPhantoms (PHI)D242002-03-25FINNo156 Lbs180 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Vladislav KolyachonokPhantoms (PHI)D252001-05-26BLRNo195 Lbs188 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.85191 Lbs185 CM2.351,011,538$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Peyton KrebsRasmus KupariJulien Gauthier40122
2Nikita ChibrikovLuca Del Bel BelluzAxel Jonsson-Fjallby30122
3Ondrej PavelRodrigo AbolsJustin Hryckowian20122
4Peyton KrebsJustin HryckowianJulien Gauthier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Spencer StastneyVladislav Kolyachonok40122
2Connor Carrick30122
3Topi NiemelaRyan Mast20122
4Spencer StastneyVladislav Kolyachonok10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Peyton KrebsRasmus KupariJulien Gauthier60122
2Nikita ChibrikovLuca Del Bel BelluzSkyler Brind'Amour40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Spencer StastneyVladislav Kolyachonok60122
2Connor Carrick40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rasmus KupariPeyton Krebs60122
2Luca Del Bel BelluzNikita Chibrikov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Spencer StastneyVladislav Kolyachonok60122
2Connor Carrick40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rasmus Kupari60122Spencer StastneyVladislav Kolyachonok60122
2Luca Del Bel Belluz40122Connor Carrick40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rasmus KupariPeyton Krebs60122
2Luca Del Bel BelluzNikita Chibrikov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Spencer StastneyVladislav Kolyachonok60122
2Connor Carrick40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Peyton KrebsRasmus KupariJulien GauthierSpencer StastneyVladislav Kolyachonok
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Peyton KrebsRasmus KupariJulien GauthierSpencer StastneyVladislav Kolyachonok
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rodrigo Abols, Nikita Chibrikov, Axel Jonsson-FjallbyLuca Del Bel Belluz, Justin HryckowianJulien Gauthier
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Topi Niemela, Ryan Mast, Topi Niemela
Tirs de pénalité
Julien Gauthier, Rasmus Kupari, Peyton Krebs, Luca Del Bel Belluz, Rodrigo Abols
Gardien
#1 : Jaxson Stauber, #2 : Thomas Milic
Lignes d’attaque personnalisées en prolongation
Julien Gauthier, Rasmus Kupari, Peyton Krebs, Luca Del Bel Belluz, Rodrigo Abols, Nikita Chibrikov, Axel Jonsson-Fjallby, Justin Hryckowian, Skyler Brind'Amour, Jean-Luc Foudy
Lignes de défense personnalisées en prolongation
Spencer Stastney, Vladislav Kolyachonok, Connor Carrick, , Topi Niemela


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
1Admirals220000001156110000006241100000053241.0001122330031413316437133838114551784812541.67%4175.00%0586111152.75%591110353.58%25647354.12%728509695225385194
2Barracuda1010000002-21010000002-20000000000000.0000000031413314537133838114194025300.00%000%0586111152.75%591110353.58%25647354.12%728509695225385194
3Belleville Senators2110000058-3110000003211010000026-420.50059140031413319237133838114621922448112.50%10190.00%0586111152.75%591110353.58%25647354.12%728509695225385194
4Bridgeport Islanders2020000069-31010000023-11010000046-200.000610160031413316137133838114731218429333.33%9277.78%0586111152.75%591110353.58%25647354.12%728509695225385194
5Calgary Wranglers1000000134-11000000134-10000000000010.50036900314133148371338381143914630300.00%2150.00%0586111152.75%591110353.58%25647354.12%728509695225385194
6Charlotte Checkers3300000015691100000042222000000114761.0001528430031413311103713383811410026316410110.00%11190.91%0586111152.75%591110353.58%25647354.12%728509695225385194
7Chicago Wolves211000007701010000034-11100000043120.500714210031413316537133838114681714408225.00%7185.71%0586111152.75%591110353.58%25647354.12%728509695225385194
8Coachella Valley Firebirds11000000413110000004130000000000021.00047110031413313637133838114279221100.00%10100.00%0586111152.75%591110353.58%25647354.12%728509695225385194
9Colorado Eagles1010000023-11010000023-10000000000000.00024600314133131371338381143490175120.00%000%0586111152.75%591110353.58%25647354.12%728509695225385194
10Condors1010000024-21010000024-20000000000000.0002461031413313837133838114461714192150.00%6266.67%0586111152.75%591110353.58%25647354.12%728509695225385194
11Henderson Silver Knights1010000045-11010000045-10000000000000.00046100031413313937133838114445627300.00%3166.67%0586111152.75%591110353.58%25647354.12%728509695225385194
12Laval Rocket1010000035-2000000000001010000035-200.00036900314133125371338381143510616400.00%3166.67%0586111152.75%591110353.58%25647354.12%728509695225385194
13Moose10000010321100000103210000000000021.0003250031413313437133838114331111234125.00%30100.00%0586111152.75%591110353.58%25647354.12%728509695225385194
14Penguins20200000510-520200000510-50000000000000.0005914003141331603713383811477216396116.67%3233.33%0586111152.75%591110353.58%25647354.12%728509695225385194
15Rochester Americans11000000404110000004040000000000021.000481201314133165371338381142378206350.00%30100.00%0586111152.75%591110353.58%25647354.12%728509695225385194
16Syracruse Crunch11000000541000000000001100000054121.000510150031413313537133838114337830200.00%4250.00%0586111152.75%591110353.58%25647354.12%728509695225385194
17Texas Stars1010000034-1000000000001010000034-100.0003580031413313737133838114359820300.00%4175.00%0586111152.75%591110353.58%25647354.12%728509695225385194
18Thunderbirds211000001082110000006331010000045-120.50010182800314133166371338381147423124810330.00%5340.00%0586111152.75%591110353.58%25647354.12%728509695225385194
19Toronto Marlies1010000025-31010000025-30000000000000.00023500314133134371338381144511823100.00%4250.00%0586111152.75%591110353.58%25647354.12%728509695225385194
20Utica Comets220000001055110000005231100000053241.00010192900314133182371338381146621125210660.00%50100.00%0586111152.75%591110353.58%25647354.12%728509695225385194
21Wild1010000023-11010000023-10000000000000.00024600314133132371338381142913620600.00%3166.67%0586111152.75%591110353.58%25647354.12%728509695225385194
Total30131500011106100619710000116057311650000046433290.48310619430011314133110993713383811410172822066681162824.14%902275.56%0586111152.75%591110353.58%25647354.12%728509695225385194
_Since Last GM Reset30131500011106100619710000116057311650000046433290.48310619430011314133110993713383811410172822066681162824.14%902275.56%0586111152.75%591110353.58%25647354.12%728509695225385194
_Vs Conference1798000006259394500000282808530000034313180.5296211617801314133162937133838114582151133370641726.56%591279.66%0586111152.75%591110353.58%25647354.12%728509695225385194
_Vs Division835000002831-3514000001519-4321000001312160.375285280003141331268371338381142847150173331236.36%24579.17%0586111152.75%591110353.58%25647354.12%728509695225385194

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3029L41061943001099101728220666811
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3013150011106100
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1971000116057
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
116500004643
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1162824.14%902275.56%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
371338381143141331
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
586111152.75%591110353.58%25647354.12%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
728509695225385194


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 - 2025-10-0912Phantoms7Charlotte Checkers2WSommaire du match
5 - 2025-10-1130Phantoms4Chicago Wolves3WSommaire du match
7 - 2025-10-1344Charlotte Checkers2Phantoms4WSommaire du match
10 - 2025-10-1666Moose2Phantoms3WXXSommaire du match
12 - 2025-10-1881Wild3Phantoms2LSommaire du match
14 - 2025-10-2094Coachella Valley Firebirds1Phantoms4WSommaire du match
17 - 2025-10-23112Phantoms2Belleville Senators6LSommaire du match
19 - 2025-10-25127Bridgeport Islanders3Phantoms2LSommaire du match
22 - 2025-10-28150Penguins5Phantoms2LSommaire du match
24 - 2025-10-30170Admirals2Phantoms6WSommaire du match
26 - 2025-11-01188Toronto Marlies5Phantoms2LSommaire du match
27 - 2025-11-02196Calgary Wranglers4Phantoms3LXXSommaire du match
29 - 2025-11-04204Phantoms3Laval Rocket5LSommaire du match
31 - 2025-11-06223Phantoms5Admirals3WSommaire du match
33 - 2025-11-08232Belleville Senators2Phantoms3WSommaire du match
37 - 2025-11-12266Condors4Phantoms2LSommaire du match
39 - 2025-11-14280Phantoms4Thunderbirds5LSommaire du match
40 - 2025-11-15293Phantoms3Texas Stars4LSommaire du match
45 - 2025-11-20324Thunderbirds3Phantoms6WSommaire du match
47 - 2025-11-22339Utica Comets2Phantoms5WSommaire du match
49 - 2025-11-24353Phantoms5Syracruse Crunch4WSommaire du match
51 - 2025-11-26363Phantoms4Charlotte Checkers2WSommaire du match
53 - 2025-11-28381Phantoms4Bridgeport Islanders6LSommaire du match
54 - 2025-11-29395Phantoms5Utica Comets3WSommaire du match
56 - 2025-12-01407Penguins5Phantoms3LSommaire du match
58 - 2025-12-03423Rochester Americans0Phantoms4WSommaire du match
62 - 2025-12-07453Colorado Eagles3Phantoms2LSommaire du match
64 - 2025-12-09469Barracuda2Phantoms0LSommaire du match
66 - 2025-12-11483Henderson Silver Knights5Phantoms4LSommaire du match
68 - 2025-12-13501Chicago Wolves4Phantoms3LSommaire du match
69 - 2025-12-14510Phantoms-Chicago Wolves-
71 - 2025-12-16521Phantoms-Laval Rocket-
73 - 2025-12-18535Phantoms-Rochester Americans-
75 - 2025-12-20549Phantoms-Wolf Pack-
77 - 2025-12-22572Abbotsford Canucks-Phantoms-
78 - 2025-12-23583Phantoms-IceHogs-
83 - 2025-12-28605Phantoms-Coachella Valley Firebirds-
85 - 2025-12-30621Phantoms-Abbotsford Canucks-
86 - 2025-12-31630Phantoms-Calgary Wranglers-
89 - 2026-01-03647Phantoms-Condors-
92 - 2026-01-06670San Diego Gulls-Phantoms-
94 - 2026-01-08686Toronto Marlies-Phantoms-
96 - 2026-01-10705Syracruse Crunch-Phantoms-
98 - 2026-01-12719Syracruse Crunch-Phantoms-
100 - 2026-01-14736Phantoms-Rochester Americans-
101 - 2026-01-15741Phantoms-Penguins-
103 - 2026-01-17755Wolf Pack-Phantoms-
105 - 2026-01-19775Phantoms-Henderson Silver Knights-
107 - 2026-01-21790Phantoms-Tucson Roadrunners-
109 - 2026-01-23805Phantoms-Colorado Eagles-
112 - 2026-01-26827Bridgeport Islanders-Phantoms-
114 - 2026-01-28840Phantoms-Monsters-
115 - 2026-01-29843Phantoms-Bruins-
117 - 2026-01-31859Ontario Reign-Phantoms-
120 - 2026-02-03889Bears-Phantoms-
122 - 2026-02-05907Belleville Senators-Phantoms-
142 - 2026-02-25911Phantoms-Bears-
143 - 2026-02-26924Phantoms-Wolf Pack-
145 - 2026-02-28935Bruins-Phantoms-
147 - 2026-03-02954Phantoms-Toronto Marlies-
150 - 2026-03-05976Tucson Roadrunners-Phantoms-
152 - 2026-03-07993Phantoms-Penguins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
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-San Diego Gulls-
164 - 2026-03-191093Phantoms-Ontario Reign-
166 - 2026-03-211103Phantoms-Barracuda-
169 - 2026-03-241125Monsters-Phantoms-
171 - 2026-03-261142IceHogs-Phantoms-
173 - 2026-03-281163Phantoms-Griffins-
174 - 2026-03-291172Texas Stars-Phantoms-
176 - 2026-03-311184Phantoms-Bears-
178 - 2026-04-021196Griffins-Phantoms-
179 - 2026-04-031205Phantoms-Bridgeport Islanders-
181 - 2026-04-051224Bruins-Phantoms-
183 - 2026-04-071236Phantoms-Utica Comets-
185 - 2026-04-091250Phantoms-Griffins-
187 - 2026-04-111272Phantoms-Moose-
189 - 2026-04-131284Chicago Wolves-Phantoms-
190 - 2026-04-141294Laval Rocket-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance35,01317,730
Assistance PCT92.14%93.32%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
22 2776 - 92.53% 114,603$2,177,450$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,330,963$ 2,630,000$ 2,630,000$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 979,396$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,521,258$ 124 26,719$ 3,313,156$




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

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

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

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