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Phantoms
GP: 56 | W: 27 | L: 26 | OTL: 3 | P: 57
GF: 208 | GA: 205 | PP%: 23.77% | PK%: 73.38%
DG: Simon Trottier | Morale : 37 | Moyenne d’équipe : 62
Prochains matchs #911 vs Bears

Centre de jeu
Bears
31-17-11, 73pts
6
7 Phantoms
27-26-3, 57pts
Team Stats
W1SéquenceOTL1
18-9-3Fiche domicile14-12-3
13-8-8Fiche domicile13-14-0
4-5-1Derniers 10 matchs6-2-2
3.88Buts par match 3.71
3.63Buts contre par match 3.66
21.32%Pourcentage en avantage numérique23.77%
80.79%Pourcentage en désavantage numérique73.38%
Belleville Senators
35-21-1, 71pts
6
5 Phantoms
27-26-3, 57pts
Team Stats
W10SéquenceOTL1
17-11-0Fiche domicile14-12-3
18-10-1Fiche domicile13-14-0
10-0-0Derniers 10 matchs6-2-2
3.93Buts par match 3.71
3.16Buts contre par match 3.66
20.43%Pourcentage en avantage numérique23.77%
81.99%Pourcentage en désavantage numérique73.38%
Phantoms
27-26-3, 57pts
2026-02-25
Bears
31-17-11, 73pts
Statistiques d’équipe
OTL1SéquenceW1
14-12-3Fiche domicile18-9-3
13-14-0Fiche visiteur13-8-8
6-2-210 derniers matchs4-5-1
3.71Buts par match 3.88
3.66Buts contre par match 3.88
23.77%Pourcentage en avantage numérique21.32%
73.38%Pourcentage en désavantage numérique80.79%
Phantoms
27-26-3, 57pts
2026-02-26
Wolf Pack
29-26-2, 60pts
Statistiques d’équipe
OTL1SéquenceW2
14-12-3Fiche domicile12-13-0
13-14-0Fiche visiteur17-13-2
6-2-210 derniers matchs7-3-0
3.71Buts par match 3.12
3.66Buts contre par match 3.12
23.77%Pourcentage en avantage numérique24.36%
73.38%Pourcentage en désavantage numérique85.24%
Bruins
35-19-3, 73pts
2026-02-28
Phantoms
27-26-3, 57pts
Statistiques d’équipe
W2SéquenceOTL1
18-10-2Fiche domicile14-12-3
17-9-1Fiche visiteur13-14-0
7-3-010 derniers matchs6-2-2
3.65Buts par match 3.71
3.32Buts contre par match 3.71
22.75%Pourcentage en avantage numérique23.77%
77.64%Pourcentage en désavantage numérique73.38%
Meneurs d'équipe
Rasmus KupariButs
Rasmus Kupari
28
Peyton KrebsPasses
Peyton Krebs
46
Peyton KrebsPoints
Peyton Krebs
68
Peyton KrebsPlus/Moins
Peyton Krebs
11
Jaxson StauberVictoires
Jaxson Stauber
27
Thomas MilicPourcentage d’arrêts
Thomas Milic
0.925

Statistiques d’équipe
Buts pour
208
3.71 GFG
Tirs pour
2143
38.27 Avg
Pourcentage en avantage numérique
23.8%
53 GF
Début de zone offensive
42.4%
Buts contre
205
3.66 GAA
Tirs contre
1923
34.34 Avg
Pourcentage en désavantage numérique
73.4%%
41 GA
Début de la zone défensive
39.8%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,770
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
1Peyton Krebs0XX100.007449756872829065786661636465670566502511,450,000$
2Rasmus Kupari0XX100.007136937081757665816162696366680556502631,000,000$
3Luca Del Bel Belluz0X100.00633794697483856770686563666264055650222925,000$
4Rodrigo Abols0X100.007639936588777264686162636569710556503031,000,000$
5Axel Jonsson-Fjallby0X100.007037936475798562586063616367690516402831,000,000$
6Nikita Chibrikov0XX100.007036816764887964616366627262640516402311,000,000$
7Justin Hryckowian0X100.006739836471767563726562616364670516302531,000,000$
8Logan Morrison0X100.006136956470828663686262566163650246302431,000,000$
9Skyler Brind'Amour0X100.006738876279848358665661596266680516202731,000,000$
10Jean-Luc Foudy0X100.005737846468727459666062626163650516102431,000,000$
11Ondrej Pavel0X100.006941735881768257615560595765670486102631,000,000$
12Spencer Stastney0X100.006136956471838163306563685065670516402631,000,000$
13Vladislav Kolyachonok0X100.006938896779777465306660635264660516402531,000,000$
14Dillon Heatherington0X100.008042805589658254305356594570720286103131,000,000$
15Topi Niemela0X100.005537856164678459306257554763650516002431,000,000$
16Andrew Lucas0X100.006137955570656454305854534566680255802731,000,000$
Rayé
1Conor Sheary0XX100.005936906965898367716862656477750406603412,000,000$
2Gemel Smith0X100.006244616071776462716462576071730206103231,000,000$
3Aleksanteri Kaskimaki (R)0X100.006036956169777159696261565861630196102211,000,000$
4Samuel Laberge0X100.007244595682677857545359585668700196002931,000,000$
5Adam Sykora0X100.005935955766828656605860595561630206002111,000,000$
6Connor Carrick0X100.006143676470948563306263575071730196303231,000,000$
7Ryan Mast (R)0XS18542855294646751305354594562640445902311,000,000$
8Jake Furlong (R)0X100.006638925575647154305356554661630205802211,000,000$
MOYENNE D’ÉQUIPE100.0066398562757778605561616057666704062
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 Stauber0100.00758278787473757473757466750246602731,000,000$
2Thomas Milic0100.00718177727069717069717062670656302311,000,000$
Rayé
MOYENNE D’ÉQUIPE100.007382787572717372717372647104565
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
1Peyton KrebsPhantoms (PHI)C/LW5422466811455136122235781879.36%22135725.14814225017600041332152.46%12200001.0012001591
2Luca Del Bel BelluzPhantoms (PHI)C5523456808036214238671899.66%12113520.6451520581540111565252.79%152100011.2000000313
3Rasmus KupariPhantoms (PHI)C/RW55282755-360482082417516511.62%27120521.921012227518000021463056.66%180900000.9103000352
4Nikita ChibrikovPhantoms (PHI)LW/RW56232548-5200129127247551559.31%14128823.004913491591017723143.27%10400000.7500000521
5Spencer StastneyPhantoms (PHI)D56123446-4180689613740768.76%108145726.026915521560000104200%000000.6301000212
6Julien GauthierFlyersRW40182543151807569182491089.89%988722.183710341290000262038.96%7700000.9702000332
7Vladislav KolyachonokPhantoms (PHI)D5693443-2500147769831629.18%55132023.574121652156000188110%000000.6500000025
8Justin HryckowianPhantoms (PHI)C56191332-9120401181654910411.52%1482214.68112628000193050.42%35300000.7800000202
9Rodrigo AbolsPhantoms (PHI)C5572229-416066135144521124.86%1679514.47000120001181054.08%84500000.7300000001
10Axel Jonsson-FjallbyPhantoms (PHI)LW56131427-102406285147471028.84%10101318.101015200000151046.91%8100000.5300000002
11Ondrej PavelPhantoms (PHI)C5671421-5295115487425539.46%2593816.7600000000000141.51%5300000.4500010100
12Connor CarrickPhantoms (PHI)D276142026039234193614.63%4059021.854482298011063010%000000.6800000110
13Maveric LamoureuxFlyersD2441620-1360803539103210.26%3551421.451341972000152000%000000.7800000203
14Topi NiemelaPhantoms (PHI)D5621719-104018523116266.45%60100617.970004250001490016.67%600000.3800000000
15Skyler Brind'AmourPhantoms (PHI)C565813-300201536143513.89%42774.96369251600000101040.00%2000000.9400000010
16Ryan MastPhantoms (PHI)D55178-871511723234194.35%5480814.710000000005100%100000.2000001000
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)C56022000213169160%01041.8700000000000028.57%700000.3800000000
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 moyenne900205368573-353752512181480213663614999.60%5161587917.64519214345815431231986026753.43%511700010.7218023272625
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)56272430.8943.5931294218717580640.6258560022
2Thomas MilicPhantoms (PHI)90200.9252.98242001216100000056100
Statistiques d’équipe totales ou en moyenne65272630.8963.54337242199191906485656122


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
Conor Sheary (contrat à 1 volet)FlyersLW/RW341992-06-08USANo182 Lbs173 CMNoNoFantasy DraftYesYes12025-08-17FalseFalsePro & Farm2,000,000$2,000,000$531,250$No---------------------------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
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
2626.08189 Lbs185 CM2.351,052,885$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Peyton KrebsRasmus Kupari40122
2Nikita ChibrikovLuca Del Bel BelluzAxel Jonsson-Fjallby30122
3Ondrej PavelRodrigo AbolsJustin Hryckowian20122
4Peyton KrebsJustin Hryckowian10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Spencer StastneyVladislav Kolyachonok40122
230122
3Topi Niemela20122
4Spencer StastneyVladislav Kolyachonok10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Peyton KrebsRasmus Kupari60122
2Nikita ChibrikovLuca Del Bel BelluzSkyler Brind'Amour40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Spencer StastneyVladislav Kolyachonok60122
240122
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
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rasmus Kupari60122Spencer StastneyVladislav Kolyachonok60122
2Luca Del Bel Belluz4012240122
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
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Peyton KrebsRasmus KupariSpencer StastneyVladislav Kolyachonok
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Peyton KrebsRasmus KupariSpencer StastneyVladislav Kolyachonok
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Rodrigo Abols, Nikita Chibrikov, Axel Jonsson-FjallbyLuca Del Bel Belluz, Justin Hryckowian
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Topi Niemela, , Topi Niemela
Tirs de pénalité
, Rasmus Kupari, Peyton Krebs, Luca Del Bel Belluz, Rodrigo Abols
Gardien
#1 : Jaxson Stauber, #2 : Thomas Milic
Lignes d’attaque personnalisées en prolongation
, 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, , , 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
1Abbotsford Canucks21100000752110000006061010000015-420.5007142101726866274707687732256411123910110.00%6266.67%01162217653.40%1082204252.99%49791754.20%13809711283411715361
2Admirals220000001156110000006241100000053241.0001122330072686626470768773225551784812541.67%4175.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
3Barracuda1010000002-21010000002-20000000000000.0000000072686624570768773225194025300.00%000%01162217653.40%1082204252.99%49791754.20%13809711283411715361
4Bears10001000761100010007610000000000021.0007916007268662417076877322537923173266.67%3166.67%01162217653.40%1082204252.99%49791754.20%13809711283411715361
5Belleville Senators311001001014-4210001008801010000026-430.50010182800726866213470768773225993522669111.11%10190.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
6Bridgeport Islanders31200000911-2211000005501010000046-220.3339152400726866299707687732259819186514321.43%9277.78%01162217653.40%1082204252.99%49791754.20%13809711283411715361
7Bruins11000000532000000000001100000053221.000581300726866240707687732253784325120.00%220.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
8Calgary Wranglers20100001911-21000000134-11010000067-110.250916250072686629670768773225702010498225.00%4250.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
9Charlotte Checkers3300000015691100000042222000000114761.0001528430072686621107076877322510026316410110.00%11190.91%01162217653.40%1082204252.99%49791754.20%13809711283411715361
10Chicago Wolves31200000814-61010000034-121100000510-520.33381624007268662917076877322511132395414214.29%12466.67%01162217653.40%1082204252.99%49791754.20%13809711283411715361
11Coachella Valley Firebirds21100000972110000004131010000056-120.50091423007268662707076877322557261047300.00%5180.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
12Colorado Eagles20200000410-61010000023-11010000027-500.00048120072686625270768773225832112379222.22%5180.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
13Condors2020000059-41010000024-21010000035-200.000510152072686628870768773225863020546116.67%8362.50%01162217653.40%1082204252.99%49791754.20%13809711283411715361
14Henderson Silver Knights211000007701010000045-11100000032120.500712190072686628170768773225791465210220.00%3166.67%01162217653.40%1082204252.99%49791754.20%13809711283411715361
15IceHogs11000000743000000000001100000074321.00071320007268662347076877322533710226233.33%5180.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
16Laval Rocket2020000048-4000000000002020000048-400.0004812107268662457076877322577181035800.00%5180.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
17Monsters11000000312000000000001100000031221.0003690072686626670768773225351110314250.00%50100.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
18Moose10000010321100000103210000000000021.0003250072686623470768773225331111234125.00%30100.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
19Ontario Reign11000000725110000007250000000000021.0007121900726866241707687732252472133133.33%110.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
20Penguins30300000815-720200000510-51010000035-200.0008152300726866296707687732251073185812216.67%3233.33%01162217653.40%1082204252.99%49791754.20%13809711283411715361
21Rochester Americans3300000014771100000040422000000107361.000142640017268662150707687732259225225810550.00%10280.00%11162217653.40%1082204252.99%49791754.20%13809711283411715361
22San Diego Gulls1010000013-21010000013-20000000000000.0001121072686623670768773225374217100.00%10100.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
23Syracruse Crunch3210000014122211000009811100000054140.6671425390072686621217076877322510628166610440.00%7357.14%01162217653.40%1082204252.99%49791754.20%13809711283411715361
24Texas Stars1010000034-1000000000001010000034-100.0003580072686623770768773225359820300.00%4175.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
25Thunderbirds211000001082110000006331010000045-120.50010182800726866266707687732257423124810330.00%5340.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
26Toronto Marlies2110000068-22110000068-20000000000020.500610160072686627870768773225841612396116.67%6350.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
27Tucson Roadrunners1010000048-4000000000001010000048-400.0004610007268662457076877322533129244250.00%20100.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
28Utica Comets220000001055110000005231100000053241.00010192900726866282707687732256621125210660.00%50100.00%01162217653.40%1082204252.99%49791754.20%13809711283411715361
29Wild1010000023-11010000023-10000000000000.00024600726866232707687732252913620600.00%3166.67%01162217653.40%1082204252.99%49791754.20%13809711283411715361
30Wolf Pack210000016511000000123-11100000042230.7506101600726866295707687732256316144710110.00%7185.71%01162217653.40%1082204252.99%49791754.20%13809711283411715361
Total56252601112208205329121201112104901427131400000104115-11570.509208370578427268662214370768773225192352437912222235323.77%1544173.38%11162217653.40%1082204252.99%49791754.20%13809711283411715361
_Since Last GM Reset56252601112208205329121201112104901427131400000104115-11570.509208370578427268662214370768773225192352437912222235323.77%1544173.38%11162217653.40%1082204252.99%49791754.20%13809711283411715361
_Vs Conference32171201101119115416760110158562161060000061592380.59411921333211726866212487076877322511122952416841253124.80%952375.79%11162217653.40%1082204252.99%49791754.20%13809711283411715361
_Vs Division1567010015157-6824010012730-3743000002427-3150.500519014100726866257070768773225517139124324671826.87%441077.27%01162217653.40%1082204252.99%49791754.20%13809711283411715361

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5657OTL120837057821431923524379122242
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5625261112208205
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
291212111210490
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2713140000104115
Derniers 10 matchs
WLOTWOTL SOWSOL
620101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2235323.77%1544173.38%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
707687732257268662
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
1162217653.40%1082204252.99%49791754.20%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13809711283411715361


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 - 2025-12-14510Phantoms1Chicago Wolves7LSommaire du match
71 - 2025-12-16521Phantoms1Laval Rocket3LSommaire du match
73 - 2025-12-18535Phantoms5Rochester Americans3WSommaire du match
75 - 2025-12-20549Phantoms4Wolf Pack2WSommaire du match
77 - 2025-12-22572Abbotsford Canucks0Phantoms6WSommaire du match
78 - 2025-12-23583Phantoms7IceHogs4WSommaire du match
83 - 2025-12-28605Phantoms5Coachella Valley Firebirds6LSommaire du match
85 - 2025-12-30621Phantoms1Abbotsford Canucks5LSommaire du match
86 - 2025-12-31630Phantoms6Calgary Wranglers7LSommaire du match
89 - 2026-01-03647Phantoms3Condors5LSommaire du match
92 - 2026-01-06670San Diego Gulls3Phantoms1LSommaire du match
94 - 2026-01-08686Toronto Marlies3Phantoms4WSommaire du match
96 - 2026-01-10705Syracruse Crunch3Phantoms5WSommaire du match
98 - 2026-01-12719Syracruse Crunch5Phantoms4LSommaire du match
100 - 2026-01-14736Phantoms5Rochester Americans4WSommaire du match
101 - 2026-01-15741Phantoms3Penguins5LSommaire du match
103 - 2026-01-17755Wolf Pack3Phantoms2LXXSommaire du match
105 - 2026-01-19775Phantoms3Henderson Silver Knights2WSommaire du match
107 - 2026-01-21790Phantoms4Tucson Roadrunners8LSommaire du match
109 - 2026-01-23805Phantoms2Colorado Eagles7LSommaire du match
112 - 2026-01-26827Bridgeport Islanders2Phantoms3WSommaire du match
114 - 2026-01-28840Phantoms3Monsters1WSommaire du match
115 - 2026-01-29843Phantoms5Bruins3WSommaire du match
117 - 2026-01-31859Ontario Reign2Phantoms7WSommaire du match
120 - 2026-02-03889Bears6Phantoms7WXSommaire du match
122 - 2026-02-05907Belleville Senators6Phantoms5LXSommaire du match
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
Assistance53,44026,896
Assistance PCT92.14%92.74%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
12 2770 - 92.34% 114,476$3,319,805$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,255,670$ 2,537,500$ 2,537,500$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,953,570$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,373,712$ 51 26,237$ 1,338,087$




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