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Phantoms
GP: 30 | W: 14 | L: 16 | OTL: 0 | P: 28
GF: 84 | GA: 96 | PP%: 23.61% | PK%: 67.82%
DG: Shareem Mallick | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #480 vs Wolf Pack

Centre de jeu
Bruins
20-9-2, 42pts
2
0 Phantoms
14-16-0, 28pts
Team Stats
W7SéquenceW1
8-6-1Fiche domicile5-10-0
12-3-1Fiche domicile9-6-0
9-1-0Derniers 10 matchs5-5-0
2.61Buts par match 2.80
2.06Buts contre par match 3.20
27.14%Pourcentage en avantage numérique23.61%
70.59%Pourcentage en désavantage numérique67.82%
Phantoms
14-16-0, 28pts
4
2 Checkers
12-13-5, 29pts
Team Stats
W1SéquenceL2
5-10-0Fiche domicile7-6-2
9-6-0Fiche domicile5-7-3
5-5-0Derniers 10 matchs4-6-0
2.80Buts par match 2.47
3.20Buts contre par match 2.90
23.61%Pourcentage en avantage numérique25.76%
67.82%Pourcentage en désavantage numérique68.25%
Wolf Pack
13-15-3, 29pts
Jour 39
Phantoms
14-16-0, 28pts
Statistiques d’équipe
OTL1SéquenceW1
6-9-0Fiche domicile5-10-0
7-6-3Fiche visiteur9-6-0
3-5-210 derniers matchs5-5-0
2.42Buts par match 2.80
3.58Buts contre par match 2.80
26.98%Pourcentage en avantage numérique23.61%
71.23%Pourcentage en désavantage numérique67.82%
Marlies
10-16-4, 24pts
Jour 40
Phantoms
14-16-0, 28pts
Statistiques d’équipe
W3SéquenceW1
5-9-1Fiche domicile5-10-0
5-7-3Fiche visiteur9-6-0
4-5-110 derniers matchs5-5-0
2.20Buts par match 2.80
3.13Buts contre par match 2.80
27.14%Pourcentage en avantage numérique23.61%
62.86%Pourcentage en désavantage numérique67.82%
Phantoms
14-16-0, 28pts
Jour 42
Barracuda
18-8-4, 40pts
Statistiques d’équipe
W1SéquenceL1
5-10-0Fiche domicile10-4-1
9-6-0Fiche visiteur8-4-3
5-5-010 derniers matchs5-4-1
2.80Buts par match 1.80
3.20Buts contre par match 1.80
23.61%Pourcentage en avantage numérique19.35%
67.82%Pourcentage en désavantage numérique88.33%
Meneurs d'équipe
Teddy BluegerButs
Teddy Blueger
18
Passes
Cody Glass
26
Points
Cody Glass
36
Teddy BluegerPlus/Moins
Teddy Blueger
6
Victoires
Mads Sogaard
10
Pourcentage d’arrêts
Mads Sogaard
0.87

Statistiques d’équipe
Buts pour
84
2.80 GFG
Tirs pour
602
20.07 Avg
Pourcentage en avantage numérique
23.6%
17 GF
Début de zone offensive
32.8%
Buts contre
96
3.20 GAA
Tirs contre
670
22.33 Avg
Pourcentage en désavantage numérique
67.8%%
28 GA
Début de la zone défensive
40.0%
Informations de l'équipe

Directeur généralShareem Mallick
EntraîneurJeff Blashill
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,915
Billets de saison1,500


Informations de la formation

Équipe Pro45
Équipe Mineure19
Limite contact 64 / 100
Espoirs160


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
1Connor BedardXX100.006742767267849979718680628061617648720202950,000$
2Teddy BluegerX100.0078548575696799628668628075707268626903122,995,000$
3Cody GlassXXX100.0071439177766582668072607075656666656702631,894,000$
4Jansen HarkinsXXX100.0087558983735790626657578075666765626702832,900,000$
5Nils HoglanderX100.0076438879656289652570616025676866606502521,394,000$
6Conor Geekie (R)X100.0084459179796293655162686525505067616502131,485,000$
7Nikita Nesterenko (R)XX100.0088469782745685612661726625474770576402431,486,000$
8Matt NietoX100.0077439678676264623656568125788264586403313,000,000$
9Philipp KurashevXXX100.0067429275706568625863666975676766586402631,514,000$
10Stephen Halliday (R)X100.0080808070818186617859606658454564576302331,546,000$
11Michael PezzettaX100.0094957273814450603351576563636359676002731,448,000$
12Cameron HebigX100.0071668468665655637858666161454562415902921,014,000$
13Samuel BolducX100.0086839668847985552548456944505160566502521,278,000$
14Kaedan KorczakX100.0080452577766660602559476825555558566302521,134,000$
15Hunter Brzustewicz (R)X100.0077709468718087532551426339454556636202131,322,000$
16Luca Cagnoni (R)X100.0070648769658085612554536151454562546202131,384,000$
17David SpacekX100.0074708667718088532551426239454555626102331,331,000$
18William LagessonX100.0078787868785253532543466744585854606002921,955,000$
19Jake LivingstoneX100.007978816478697549253745634344445557590262900,000$
Rayé
1Parker Bell (R)X100.0082818363817278495044486446444456205602231,276,000$
2Felix Unger Sorum (R)X100.0072639365637176525054476044444456205602031,277,000$
3Daniel D'AmatoXXX100.007571846571515155684859625444445820560242979,000$
4Ben Steeves (R)X100.006461726661535258505656585344445827550231950,000$
5Jamieson ReesX100.0074669164664746536555476145444455205402421,238,000$
6Anthony VincentXXX100.0069706665705455526547535850444455205402821,035,000$
7Zach SolowX100.0069657764655050525053475945444454205302731,317,000$
8Ivan Demidov (R)X100.0079719980715356445038446142444453205302031,268,000$
9Oliver Moore (R)X100.0077679980675052445538446142444452205302131,264,000$
10Ian McKinnonXXX100.006578356378505050634550564844445120520272967,000$
11Curtis HallX100.008479956079373645563846644444445220510252993,000$
12Ryan HoferX100.0072707780703432445038445842444450205002331,130,000$
13Riley BezeauXXX100.006768656268414048604447574544445120500232923,000$
14Riley McKayXXX100.006070356370474749614647534544445020500262973,000$
15Logan NijhoffX100.006268476068363448504644544244444820480242977,000$
16Declan Carlile (R)X100.0073737473736975492538465941454552545902531,189,000$
17Zachary MassicotteX100.008681998081333241252839633745444929550242900,000$
18Jakub Dvorak (R)X100.0081818261814748442534396237444450205502031,277,000$
19Zayne Parekh (R)X100.0075659980655154412528395837444450205502031,278,000$
20Rodwin Dionicio (R)X100.0069765463764240522537535850444454205302131,264,000$
21Xavier Bernard (R)X100.0079807861804140452536396237444450205302631,326,000$
22Mitchell Vande SompelX100.0077689960683735462537396137444450205202921,065,000$
23Bryan Yoon (R)X100.007365936065393845253539593744444923510282900,000$
MOYENNE D’ÉQUIPE100.00756681707256625445495163465050573958
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
1Mads Sogaard100.004543549045914649908145474760506202521,094,000$
2Carter Gylander (R)100.004440508345884447898145444460636002431,500,000$
Rayé
1Dylan Wells100.005050637550495055495030444451355202831,300,000$
MOYENNE D’ÉQUIPE100.0046445683477647507671404545574958
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Blashill40404040404040USA431750,000$


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
1Cody GlassPhantoms (PHI)C/LW/RW30102636540275510833689.26%1166522.19291121620111704254.93%71277001.0800000270
2Teddy BluegerPhantoms (PHI)C301815336235497496316318.75%2067822.61551018622023651163.31%7141011020.9711000320
3Nils HoglanderPhantoms (PHI)LW30111627-2100364260213518.33%857119.040333300001280128.57%21225000.9500000312
4Jansen HarkinsPhantoms (PHI)C/LW/RW3091221-122210446041163521.95%1658319.442247480111185150.78%258177000.7200110112
5Conor GeekiePhantoms (PHI)C2241620620344236132411.11%746221.032687290110191053.36%253511000.8605000123
6Philipp KurashevPhantoms (PHI)C/LW/RW3061218-660375046142413.04%1253717.92000051014311126.32%1997000.6700000111
7Nikita NesterenkoPhantoms (PHI)C/LW3051015-24031315223439.62%954218.071237470001200128.57%14217000.5500000201
8Hunter BrzustewiczPhantoms (PHI)D3011011-4292532533017143.33%3779526.51134667011177000%0216000.2800113100
9Michael PezzettaPhantoms (PHI)LW2864106563033192991220.69%1233011.802135280000160048.15%2765000.6100213011
10David SpacekPhantoms (PHI)D30279680173121879.52%3065021.68101443022076000%0412000.2800000000
11Matt NietoPhantoms (PHI)LW3054920021353071416.67%542014.03022548000001037.93%11643100.4300000101
12Declan CarlilePhantoms (PHI)D29448-11622060313012913.33%3072124.87224767000044000%0519000.2200121000
13Connor BedardPhantoms (PHI)C/RW14167320181111289.09%223116.57000030001140053.33%1522000.6000000100
14William LagessonPhantoms (PHI)D3014502552940111049.09%2459019.69011043000044000%0111000.1700001000
15Stephen HallidayPhantoms (PHI)C30134-51352241141087.14%436112.0500012000040052.22%9035000.2200100001
16Cameron HebigPhantoms (PHI)C17213-4001111113318.18%521312.5610124000000080.00%523000.2811000000
17Tyler KlevenFlyersD29011110019257120%1139813.740000000003000%086000.0500000001
18Kaedan KorczakPhantoms (PHI)D3010100010100100.00%0140.470000000000100%001001.4200000000
19Luca CagnoniPhantoms (PHI)D30000-100341020%41525.1000017000024000%00200000000000
20Zachary MassicottePhantoms (PHI)D8000-100110000%030.420000000000000%00000000000000
21Samuel BolducPhantoms (PHI)D30000111515213120%940813.610000100000000%00700000001000
22Jake LivingstonePhantoms (PHI)D22000000000000%020.120000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne58987151238-1228710554067763823137713.64%256933615.85193655946053691356114755.40%1603148147120.5127659161513
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
1Mads SogaardPhantoms (PHI)25101000.8703.1412242064492224001.0002228002
2Carter GylanderPhantoms (PHI)134600.8203.315800032178771000822000
Statistiques d’équipe totales ou en moyenne38141600.8573.19180420966703011023030002


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 Salaire restantPlafond 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
Anthony VincentPhantoms (PHI)C/LW/RW281997-08-12USANo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,035,000$683,839$0$0$No1,035,000$--------1,035,000$--------No--------Lien
Ben SteevesPhantoms (PHI)LW232002-05-10USAYes170 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-16FalseFalsePro & Farm950,000$627,679$0$0$No---------------------------Lien
Bryan YoonPhantoms (PHI)D281998-01-27USAYes172 Lbs6 ft1NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm900,000$594,643$0$0$No900,000$--------900,000$--------No--------Lien
Cameron HebigPhantoms (PHI)C291997-01-21SKWNo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,014,000$669,964$0$0$No1,014,000$--------1,014,000$--------No--------Lien / Lien NHL
Carter GylanderPhantoms (PHI)G242001-06-05CANYes190 Lbs6 ft5NoNoProspectNoNo32025-12-08FalseFalsePro & Farm1,500,000$991,071$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Cody GlassPhantoms (PHI)C/LW/RW261999-04-01CANNo201 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,894,000$1,251,393$0$0$No1,894,000$1,894,000$-------1,894,000$1,894,000$-------NoNo-------Lien
Connor BedardPhantoms (PHI)C/RW202005-07-17CANNo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm950,000$627,679$0$0$No950,000$--------950,000$--------No--------Lien
Conor GeekiePhantoms (PHI)C212004-05-05CANYes207 Lbs6 ft4NoNoTrade2026-02-19NoNo32025-10-22FalseFalsePro & Farm1,485,000$981,161$0$0$No1,485,000$1,485,000$-------1,485,000$1,485,000$-------NoNo-------Lien
Curtis HallPhantoms (PHI)C252000-04-26USANo212 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm993,000$656,089$0$0$No993,000$--------993,000$--------No--------Lien
Daniel D'AmatoPhantoms (PHI)C/LW/RW242001-04-08ONTNo194 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm979,000$646,839$0$0$No979,000$--------979,000$--------No--------Lien
David SpacekPhantoms (PHI)D232003-02-18USANo190 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,331,000$879,411$0$0$No1,331,000$1,331,000$-------1,331,000$1,331,000$-------NoNo-------Lien
Declan CarlilePhantoms (PHI)D252000-05-18USAYes192 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,189,000$785,589$0$0$No1,189,000$1,189,000$-------1,189,000$1,189,000$-------NoNo-------Lien
Dylan WellsPhantoms (PHI)G281998-01-03CANNo190 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,300,000$858,929$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien
Felix Unger SorumPhantoms (PHI)RW202005-09-14NORYes170 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$843,732$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Hunter BrzustewiczPhantoms (PHI)D212004-11-29USAYes190 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,322,000$873,464$0$0$No1,322,000$1,322,000$-------1,322,000$1,322,000$-------NoNo-------Lien
Ian McKinnonPhantoms (PHI)C/LW/RW271998-03-05ONTNo212 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm967,000$638,911$0$0$No967,000$--------967,000$--------No--------Lien
Ivan DemidovPhantoms (PHI)RW202005-12-10RUSYes192 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,268,000$837,786$0$0$No1,268,000$1,268,000$-------1,268,000$1,268,000$-------NoNo-------Lien
Jake LivingstonePhantoms (PHI)D261999-04-16CANNo207 Lbs6 ft4NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm900,000$594,643$0$0$No900,000$--------900,000$--------No--------Lien
Jakub DvorakPhantoms (PHI)D202005-05-25CZEYes210 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$843,732$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Jamieson ReesPhantoms (PHI)C242001-02-26ONTNo186 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,238,000$817,964$0$0$No1,238,000$--------1,238,000$--------No--------Lien
Jansen HarkinsPhantoms (PHI)C/LW/RW281997-05-23USANo199 Lbs6 ft1NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,900,000$1,916,071$0$0$No2,900,000$2,900,000$-------2,900,000$2,900,000$-------NoNo-------Lien / Lien NHL
Kaedan KorczakPhantoms (PHI)D252001-01-29CANNo203 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,134,000$749,250$0$0$No1,134,000$--------1,134,000$--------No--------Lien
Logan NijhoffPhantoms (PHI)LW242001-06-23BCNo187 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm977,000$645,518$0$0$No977,000$--------977,000$--------No--------Lien
Luca CagnoniPhantoms (PHI)D212004-12-21CANYes180 Lbs5 ft9NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,384,000$914,429$0$0$No1,384,000$1,384,000$-------1,384,000$1,384,000$-------NoNo-------Lien
Mads SogaardPhantoms (PHI)G252000-12-13DENNo217 Lbs6 ft7NoNoN/ANoNo2FalseFalsePro & Farm1,094,000$722,821$0$0$No1,094,000$--------1,094,000$--------No--------Lien
Matt NietoPhantoms (PHI)LW331992-11-05USANo189 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm3,000,000$1,982,143$0$0$No---------------------------Lien / Lien NHL
Michael PezzettaPhantoms (PHI)LW271998-03-13CANNo219 Lbs6 ft1NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,448,000$956,714$0$0$No1,448,000$1,448,000$-------1,448,000$1,448,000$-------NoNo-------Lien / Lien NHL
Mitchell Vande SompelPhantoms (PHI)D291997-02-11ONTNo190 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,065,000$703,661$0$0$No1,065,000$--------1,065,000$--------No--------Lien
Nikita NesterenkoPhantoms (PHI)C/LW242001-09-10USAYes195 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,486,000$981,821$0$0$No1,486,000$1,486,000$-------1,486,000$1,486,000$-------NoNo-------Lien
Nils HoglanderPhantoms (PHI)LW252000-12-20SWENo185 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm1,394,000$921,036$0$0$No1,394,000$--------1,394,000$--------No--------Lien
Oliver MoorePhantoms (PHI)C212005-01-22USAYes188 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,264,000$835,143$0$0$No1,264,000$1,264,000$-------1,264,000$1,264,000$-------NoNo-------Lien
Parker BellPhantoms (PHI)LW222003-09-26CANYes210 Lbs6 ft5NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,276,000$843,071$0$0$No1,276,000$1,276,000$-------1,276,000$1,276,000$-------NoNo-------Lien
Philipp KurashevPhantoms (PHI)C/LW/RW261999-10-12SUINo190 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,514,000$1,000,321$0$0$No1,514,000$1,514,000$-------1,514,000$1,514,000$-------NoNo-------Lien
Riley BezeauPhantoms (PHI)C/LW/RW232002-05-04NBNo188 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm923,000$609,839$0$0$No923,000$--------923,000$--------No--------Lien
Riley McKayPhantoms (PHI)C/LW/RW261999-03-07MANNo196 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm973,000$642,875$0$0$No973,000$--------973,000$--------No--------Lien
Rodwin DionicioPhantoms (PHI)D212004-03-30SWIYes207 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,264,000$835,143$0$0$No1,264,000$1,264,000$-------1,264,000$1,264,000$-------NoNo-------Lien
Ryan HoferPhantoms (PHI)RW232002-05-10MANNo181 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,130,000$746,607$0$0$No1,130,000$1,130,000$-------1,130,000$1,130,000$-------NoNo-------Lien
Samuel BolducPhantoms (PHI)D252000-12-09CANNo224 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,278,000$844,393$0$0$No1,278,000$--------1,278,000$--------No--------Lien
Stephen HallidayPhantoms (PHI)C232002-07-02CANYes212 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,546,000$1,021,464$0$0$No1,546,000$1,546,000$-------1,546,000$1,546,000$-------NoNo-------Lien
Teddy BluegerPhantoms (PHI)C311994-08-15LATNo185 Lbs6 ft0NoNoAssign ManuallyNoNo22024-09-10FalseFalsePro & Farm2,995,000$1,978,839$0$0$No2,995,000$--------2,995,000$--------No--------Lien / Lien NHL
William LagessonPhantoms (PHI)D291996-02-22SWENo211 Lbs6 ft2NoNoAssign ManuallyNoNo22024-09-09FalseFalsePro & Farm1,955,000$1,291,696$0$0$No1,955,000$--------1,955,000$--------No--------Lien / Lien NHL
Xavier BernardPhantoms (PHI)D262000-01-06QCYes210 Lbs6 ft4NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,326,000$876,107$0$0$No1,326,000$1,326,000$-------1,326,000$1,326,000$-------NoNo-------Lien
Zach SolowPhantoms (PHI)RW271998-11-06USANo185 Lbs5 ft9NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,317,000$870,161$0$0$No1,317,000$1,317,000$-------1,317,000$1,317,000$-------NoNo-------Lien
Zachary MassicottePhantoms (PHI)D242001-03-15QUENo216 Lbs6 ft4NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm900,000$594,643$0$0$No900,000$--------900,000$--------No--------Lien
Zayne ParekhPhantoms (PHI)D202006-02-15CANYes179 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,278,000$844,393$0$0$No1,278,000$1,278,000$-------1,278,000$1,278,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4524.67195 Lbs6 ft12.471,346,444$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikita NesterenkoTeddy BluegerCody Glass40122
2Nils HoglanderJansen HarkinsPhilipp Kurashev30122
3Teddy BluegerMatt NietoNikita Nesterenko20122
4Connor BedardStephen HallidayJansen Harkins10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter BrzustewiczSamuel Bolduc40122
2David SpacekWilliam Lagesson30122
3Hunter BrzustewiczKaedan Korczak20122
4Luca CagnoniSamuel Bolduc10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nils HoglanderTeddy BluegerCody Glass60122
2Matt NietoJansen HarkinsNikita Nesterenko40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter BrzustewiczSamuel Bolduc60122
2William LagessonDavid Spacek40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Teddy BluegerCody Glass60122
2Jansen HarkinsPhilipp Kurashev40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter BrzustewiczDavid Spacek60122
2Kaedan KorczakWilliam Lagesson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Teddy Blueger60122Samuel BolducDavid Spacek60122
2Stephen Halliday40122William LagessonHunter Brzustewicz40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cody GlassTeddy Blueger60122
2Jansen HarkinsNils Hoglander40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter BrzustewiczDavid Spacek60122
2William LagessonLuca Cagnoni40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Teddy BluegerJansen HarkinsCody GlassHunter BrzustewiczDavid Spacek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jansen HarkinsTeddy BluegerCody GlassHunter BrzustewiczDavid Spacek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cody Glass, Jansen Harkins, Teddy BluegerTeddy Blueger, Jansen HarkinsTeddy Blueger
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Hunter Brzustewicz, David Spacek, William LagessonHunter BrzustewiczDavid Spacek, Hunter Brzustewicz
Tirs de pénalité
Matt Nieto, Teddy Blueger, Jansen Harkins, Cody Glass, Nikita Nesterenko
Gardien
#1 : Carter Gylander, #2 : Mads Sogaard


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
1Barracuda11000000211110000002110000000000021.0002350016372751312924322572131318300.00%40100.00%023644053.64%29853755.49%21936560.00%541219558321706355
2Bears412010001013-330201000712-51100000031240.500101727001637275661292432257863923604250.00%9455.56%123644053.64%29853755.49%21936560.00%541219558321706355
3Bruins3120000079-22020000037-41100000042220.3337121900163727544129243225742202340100.00%9277.78%023644053.64%29853755.49%21936560.00%541219558321706355
4Checkers11000000422000000000001100000042221.000459001637275251292432257165219200.00%10100.00%023644053.64%29853755.49%21936560.00%541219558321706355
5Griffins2010001056-1000000000002010001056-120.500551000163727555129243225742174037300.00%6433.33%123644053.64%29853755.49%21936560.00%541219558321706355
6Heat2110000045-11010000013-21100000032120.500471100163727540129243225744191526800.00%5180.00%023644053.64%29853755.49%21936560.00%541219558321706355
7IceHogs1010000014-31010000014-30000000000000.00012300163727513129243225712510152150.00%5180.00%023644053.64%29853755.49%21936560.00%541219558321706355
8Islanders21100000853000000000002110000085320.50081321001637275421292432257632721377228.57%8187.50%023644053.64%29853755.49%21936560.00%541219558321706355
9Marlies31200000131122110000010551010000036-320.3331321340016372757712924322574012565714535.71%8362.50%023644053.64%29853755.49%21936560.00%541219558321706355
10Penguins11000000211110000002110000000000021.0002350016372754129243225784214100.00%110.00%023644053.64%29853755.49%21936560.00%541219558321706355
11Reign2110000078-1110000005411010000024-220.50071320001637275431292432257752619448337.50%7357.14%023644053.64%29853755.49%21936560.00%541219558321706355
12Roadrunners1010000024-21010000024-20000000000000.0002350016372752912924322572596173133.33%3166.67%023644053.64%29853755.49%21936560.00%541219558321706355
13Senators2100100011740000000000021001000117441.000111930001637275501292432257551824475120.00%7185.71%123644053.64%29853755.49%21936560.00%541219558321706355
14Silver Knights10001000321000000000001000100032121.000347001637275181292432257174613100.00%3233.33%023644053.64%29853755.49%21936560.00%541219558321706355
15Stars1010000014-31010000014-30000000000000.000112001637275171292432257187214300.00%10100.00%023644053.64%29853755.49%21936560.00%541219558321706355
16Thunderbirds1010000038-51010000038-50000000000000.000358001637275291292432257451111115240.00%3233.33%023644053.64%29853755.49%21936560.00%541219558321706355
17Wild1010000012-1000000000001010000012-100.0001230016372752512924322573716418000%20100.00%023644053.64%29853755.49%21936560.00%541219558321706355
18Wolf Pack1010000004-4000000000001010000004-400.0000000016372751212924322572471019200.00%5260.00%023644053.64%29853755.49%21936560.00%541219558321706355
Total301016030108496-1215410010003753-1615660201047434280.467841352190016372756021292432257670249287506721723.61%872867.82%323644053.64%29853755.49%21936560.00%541219558321706355
_Since Last GM Reset301016030108496-1215410010003753-1615660201047434280.467841352190016372756021292432257670249287506721723.61%872867.82%323644053.64%29853755.49%21936560.00%541219558321706355
_Vs Conference20711010105967-81137010003141-109440001028262180.45059931520016372754271292432257462176197336581525.86%522061.54%223644053.64%29853755.49%21936560.00%541219558321706355
_Vs Division1149010104035542501000131217240001027234120.545406210200163727525112924322571957214520025624.00%311067.74%223644053.64%29853755.49%21936560.00%541219558321706355

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3028W18413521960267024928750600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
30101630108496
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1541010003753
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
156620104743
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
721723.61%872867.82%3
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
12924322571637275
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
23644053.64%29853755.49%21936560.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
541219558321706355


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
214Marlies4Phantoms3LSommaire du match
330Phantoms1Islanders2LSommaire du match
445Roadrunners4Phantoms2LSommaire du match
663Bears1Phantoms2WXSommaire du match
775Phantoms3Griffins2WXXSommaire du match
995Thunderbirds8Phantoms3LSommaire du match
10104Phantoms7Senators4WSommaire du match
11119Phantoms1Wild2LSommaire du match
12133Marlies1Phantoms7WSommaire du match
13152Phantoms7Islanders3WSommaire du match
15173Bruins5Phantoms3LSommaire du match
16187Barracuda1Phantoms2WSommaire du match
17195Phantoms3Marlies6LSommaire du match
18218Reign4Phantoms5WSommaire du match
19227Phantoms2Griffins4LSommaire du match
21251Phantoms2Reign4LSommaire du match
22261Bears6Phantoms5LSommaire du match
24276Phantoms4Bruins2WSommaire du match
25292Heat3Phantoms1LSommaire du match
27315Penguins1Phantoms2WSommaire du match
28329Phantoms3Heat2WSommaire du match
29336Phantoms0Wolf Pack4LSommaire du match
30357Bears5Phantoms0LSommaire du match
31373Phantoms3Silver Knights2WXSommaire du match
32387Phantoms4Senators3WXSommaire du match
33397IceHogs4Phantoms1LSommaire du match
34412Phantoms3Bears1WSommaire du match
35424Stars4Phantoms1LSommaire du match
36445Bruins2Phantoms0LSommaire du match
37459Phantoms4Checkers2WSommaire du match
39480Wolf Pack-Phantoms-
40495Marlies-Phantoms-
42516Phantoms-Barracuda-
43527Phantoms-Gulls-
44542Phantoms-Marlies-
45557Wild-Phantoms-
46572Barracuda-Phantoms-
47595Reign-Phantoms-
48605Phantoms-Wild-
49625Senators-Phantoms-
50632Phantoms-Eagles-
51654Thunderbirds-Phantoms-
52668Phantoms-Wolves-
53682Roadrunners-Phantoms-
54699Phantoms-IceHogs-
56718Americans-Phantoms-
57731Phantoms-Penguins-
58746Phantoms-Moose-
59757Eagles-Phantoms-
61779Phantoms-Griffins-
62789Rocket-Phantoms-
63801Phantoms-Islanders-
65817Phantoms-Admirals-
66830Wolves-Phantoms-
67850Admirals-Phantoms-
68865Phantoms-Crunch-
70881Canucks-Phantoms-
71892Phantoms-Canucks-
72909Thunderbirds-Phantoms-
73922Phantoms-Condors-
75940Phantoms-Thunderbirds-
76953Condors-Phantoms-
78972Gulls-Phantoms-
80988Phantoms-Comets-
811003Monsters-Phantoms-
821016Phantoms-Thunderbirds-
831031Phantoms-Reign-
841046Crunch-Phantoms-
861063Islanders-Phantoms-
871075Phantoms-Americans-
891100Checkers-Phantoms-
901118Comets-Phantoms-
921139Phantoms-Monsters-
931152Silver Knights-Phantoms-
951171Phantoms-Bears-
961184Islanders-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
981204Phantoms-Stars-
991217Phantoms-Checkers-
1001224Roadrunners-Phantoms-
1011242Phantoms-Reign-
1021249Griffins-Phantoms-
1051278Griffins-Phantoms-
1061288Phantoms-Roadrunners-
1081307Moose-Phantoms-
1091312Phantoms-Rocket-
1101331Phantoms-Roadrunners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2510
Assistance28,89014,833
Assistance PCT96.30%98.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 2915 - 97.16% 86,478$1,297,163$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,288,745$ 6,059,000$ 6,059,000$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
54,098$ 2,026,255$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,421,371$ 74 60,795$ 4,498,830$




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