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Connexion

Phantoms
GP: 81 | W: 38 | L: 34 | OTL: 9 | P: 85
GF: 211 | GA: 229 | PP%: 27.03% | PK%: 65.74%
DG: Shareem Mallick | Morale : 47 | Moyenne d’équipe : 58
Prochains matchs #1278 vs Griffins

Centre de jeu
Phantoms
38-34-9, 85pts
3
6 Reign
44-31-5, 93pts
Team Stats
W1SéquenceL1
19-18-4Fiche domicile23-18-0
19-16-5Fiche domicile21-13-5
6-4-0Derniers 10 matchs6-3-1
2.60Buts par match 3.68
2.83Buts contre par match 3.40
27.03%Pourcentage en avantage numérique28.97%
65.74%Pourcentage en désavantage numérique73.21%
Griffins
40-22-18, 98pts
4
5 Phantoms
38-34-9, 85pts
Team Stats
SOL1SéquenceW1
24-11-6Fiche domicile19-18-4
16-11-12Fiche domicile19-16-5
4-3-3Derniers 10 matchs6-4-0
2.84Buts par match 2.60
2.95Buts contre par match 2.83
32.60%Pourcentage en avantage numérique27.03%
75.21%Pourcentage en désavantage numérique65.74%
Griffins
40-22-18, 98pts
Jour 105
Phantoms
38-34-9, 85pts
Statistiques d’équipe
SOL1SéquenceW1
24-11-6Fiche domicile19-18-4
16-11-12Fiche visiteur19-16-5
4-3-310 derniers matchs6-4-0
2.84Buts par match 2.60
2.95Buts contre par match 2.60
32.60%Pourcentage en avantage numérique27.03%
75.21%Pourcentage en désavantage numérique65.74%
Phantoms
38-34-9, 85pts
Jour 106
Roadrunners
41-30-10, 92pts
Statistiques d’équipe
W1SéquenceW9
19-18-4Fiche domicile21-14-5
19-16-5Fiche visiteur20-16-5
6-4-010 derniers matchs9-1-0
2.60Buts par match 3.96
2.83Buts contre par match 3.96
27.03%Pourcentage en avantage numérique24.88%
65.74%Pourcentage en désavantage numérique71.43%
Moose
33-34-13, 79pts
Jour 108
Phantoms
38-34-9, 85pts
Statistiques d’équipe
W1SéquenceW1
15-18-8Fiche domicile19-18-4
18-16-5Fiche visiteur19-16-5
5-4-110 derniers matchs6-4-0
1.75Buts par match 2.60
2.14Buts contre par match 2.60
24.66%Pourcentage en avantage numérique27.03%
74.55%Pourcentage en désavantage numérique65.74%
Meneurs d'équipe
Teddy BluegerButs
Teddy Blueger
33
Passes
Cody Glass
40
Teddy BluegerPoints
Teddy Blueger
72
Matt NietoPlus/Moins
Matt Nieto
10
Victoires
Carter Gylander
25
Pourcentage d’arrêts
Mads Sogaard
0.87

Statistiques d’équipe
Buts pour
211
2.60 GFG
Tirs pour
1434
17.70 Avg
Pourcentage en avantage numérique
27.0%
50 GF
Début de zone offensive
33.3%
Buts contre
229
2.83 GAA
Tirs contre
1691
20.88 Avg
Pourcentage en désavantage numérique
65.7%%
74 GA
Début de la zone défensive
40.5%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,920
Billets de saison1,500


Informations de la formation

Équipe Pro46
Équipe Mineure21
Limite contact 67 / 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 BedardXX100.006842777368849980718781618063637468730202950,000$
2Teddy BluegerX100.0078548575696799648770637975727466816903122,995,000$
3Cody GlassXXX100.0071439277766582678072627075676864806802731,894,000$
4Jansen HarkinsXXX95.0087559083735790626657577875686963756702832,900,000$
5Nils HoglanderX100.0076438880666289662571635925697064806502521,394,000$
6Conor Geekie (R)X100.0084459280806293645162676325525266756502231,485,000$
7Philipp KurashevXXX100.0067429275706568625863656875696964746502631,514,000$
8Nikita Nesterenko (R)XX100.0087469783755685602660716525494968696402431,486,000$
9Matt NietoX100.0077439678676264613556578025808462776403313,000,000$
10Stephen Halliday (R)X100.0079808171828186607859596458474762676302331,546,000$
11Owen Beck (R)X100.0084459983735591596558565525484759426102231,333,000$
12Cameron HebigX100.0070668568665655627857656061464661525902921,014,000$
13Trevor Connelly (R)X100.0061636182653832615060595558464658235602031,300,000$
14Kaedan KorczakX99.0081452578776660612559486725565657736402521,134,000$
15Hunter Brzustewicz (R)X99.0077709469728087552552436339474754816302131,322,000$
16Luca Cagnoni (R)X100.0069648770668085602553535951474760616202131,384,000$
17David SpacekX100.0074708668728088532550426239474753726202331,331,000$
18William LagessonX100.0078787968785253532543456644606052736003021,955,000$
19Jake LivingstoneX100.007878826478697548253644614346465366590272900,000$
Rayé
1Michael PezzettaX100.0093957373814450583350566463656457685902831,448,000$
2Parker Bell (R)X100.0082818364827278495044486346454555195602231,276,000$
3Felix Unger Sorum (R)X100.0072639366647176525054475944454555185602031,277,000$
4Daniel D'AmatoXXX100.007571846571515155684859625444445820560252979,000$
5Ben Steeves (R)X100.006461726661535258505656585344445819550241950,000$
6Jamieson ReesX100.0074669164664746536555476145444455205402521,238,000$
7Anthony VincentXXX100.0069706665705455526547535850444455205402821,035,000$
8Zach SolowX100.0069657764655050525053475945444454205302731,317,000$
9Ivan Demidov (R)X100.0079719980715356445038446142444453205302031,268,000$
10Oliver Moore (R)X100.0077679980675052445538446142444452205302131,264,000$
11Ian McKinnonXXX100.006578356378505050634550564844445120520282967,000$
12Curtis HallX100.008479956079373645563846644444445220510262993,000$
13Ryan HoferX100.0072707780703432445038445842444450205002431,130,000$
14Riley BezeauXXX100.006768656268414048604447574544445120500242923,000$
15Riley McKayXXX100.006070356370474749614647534544445020500272973,000$
16Logan NijhoffX100.006268476068363448504644544244444820480242977,000$
17Declan Carlile (R)X100.0073737473736975482537455841474650545902631,189,000$
18Zachary MassicotteX100.008681998081333241252839633745444920550252900,000$
19Jakub Dvorak (R)X100.0081818261814748442534396237444450205502031,277,000$
20Zayne Parekh (R)X100.0075659980655154412528395837444450205502031,278,000$
21Rodwin Dionicio (R)X100.0069765463764240522537535850444454205302231,264,000$
22Xavier Bernard (R)X100.0079807861804140452536396237444450205302631,326,000$
23Mitchell Vande SompelX100.0077689960683735462537396137444450205202921,065,000$
24Bryan Yoon (R)X100.007365936065393845253539593744444920510282900,000$
MOYENNE D’ÉQUIPE99.84756580717255625446505162465050564358
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 Sogaard100.004543549045924650908145474760746202521,094,000$
2Carter Gylander (R)100.004640508347904748918145464658846102431,500,000$
Rayé
1Dylan Wells100.005050637550495055495030444451205202831,300,000$
MOYENNE D’ÉQUIPE100.0047445683477748517771404646565958
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
1Teddy BluegerPhantoms (PHI)C77333972857251051401985812016.67%36170322.131013232913022491343262.72%10223027020.8523301752
2Nils HoglanderPhantoms (PHI)LW81313667-2240111117160559719.38%19164520.3191019301160004834132.31%655719000.8127000725
3Cody GlassPhantoms (PHI)C/LW/RW75264066660731171845913814.13%27152820.37412162711012341287357.33%3005319000.86110008110
4Connor BedardPhantoms (PHI)C/RW6423305323209197115306620.00%30129220.194101414741013773254.82%7262318120.8245000831
5Jansen HarkinsPhantoms (PHI)C/LW/RW74162137-13351510511499407816.16%24126517.1124612780114446350.66%3773318000.5802111122
6Philipp KurashevPhantoms (PHI)C/LW/RW81122537-180102130101346011.88%26150118.542248521015633152.27%443021000.4922000125
7Owen BeckPhantoms (PHI)C81171633-23959611199275417.17%17152618.8523517990114875244.27%1313625000.4312001435
8Conor GeekiePhantoms (PHI)C73923327608811274225512.16%11124217.022687340110312248.32%5362826000.5205000353
9Hunter BrzustewiczPhantoms (PHI)D814263016860891417234245.56%104220727.25268151630113181000%01355000.2711525313
10Matt NietoPhantoms (PHI)LW8115132810558510490313916.67%12137316.95358151060001123037.80%3361116100.4108100142
11Nikita NesterenkoPhantoms (PHI)C/LW741116270406867103356310.68%18109614.821458630003380233.93%563815000.4901000202
12David SpacekPhantoms (PHI)D8131316105210701054122157.32%73180922.3521361110222167000%0633000.1800002000
13Kaedan KorczakPhantoms (PHI)D8141216-311610139845112287.84%47122415.11257990101146200%02435000.2600002011
14William LagessonPhantoms (PHI)D8111314843589982919123.45%50165820.470333970000101000%0633000.1700001001
15Stephen HallidayPhantoms (PHI)C813811-10195748330142410.00%13100112.37213755000050052.45%2651113000.2200100101
16Michael PezzettaPhantoms (PHI)LW7364106583039213191319.35%123805.212135280000160048.15%2765000.5300213011
17Declan CarlilePhantoms (PHI)D71448-11742073413012913.33%33107915.21224769000051000%0623000.1500121000
18Trevor ConnellyPhantoms (PHI)LW73325-7235534123171913.04%26118.38213418000010053.85%13106000.1601001001
19Luca CagnoniPhantoms (PHI)D81044-6155234816740%1199612.31011324000067000%1515000.0800010000
20Cameron HebigPhantoms (PHI)C68314-1001717153420.00%52994.4110124000000060.00%1524000.2711000000
21Felix Unger SorumPhantoms (PHI)RW711200041221450.00%08311.91000000000000100.00%122000.4800000010
22Samuel BolducFlyersD3311241610192361216.67%1248114.580001700000000%007000.0800002000
23Tyler KlevenFlyersD29011110019257120%1139813.740000000003000%086000.0500000001
24Zachary MassicottePhantoms (PHI)D8000-100110000%030.420000000000000%00000000000000
25Parker BellPhantoms (PHI)LW7000175370000%07010.070000100000000%01100000001000
26Jake LivingstonePhantoms (PHI)D73000060672120%01472.020000000000000%00100000000000
Statistiques d’équipe totales ou en moyenne1689226349575-1469321516421863157854493214.32%5932663015.775490144229153961016431347381853.08%3915439443240.43143914721464136
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
1Carter GylanderPhantoms (PHI)59252090.8682.483313051371035459110.615265328103
2Mads SogaardPhantoms (PHI)32131400.8703.1915972085653299021.00042853002
Statistiques d’équipe totales ou en moyenne91383490.8682.71491025222168875813308181105


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$92,411$0$0$No1,035,000$--------1,035,000$--------No--------Lien
Ben SteevesPhantoms (PHI)LW242002-05-10USAYes170 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-16FalseFalsePro & Farm950,000$84,821$0$0$No---------------------------Lien
Bryan YoonPhantoms (PHI)D281998-01-27USAYes172 Lbs6 ft1NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm900,000$80,357$0$0$No900,000$--------900,000$--------No--------Lien
Cameron HebigPhantoms (PHI)C291997-01-21SKWNo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,014,000$90,536$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$133,929$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Cody GlassPhantoms (PHI)C/LW/RW271999-04-01CANNo201 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,894,000$169,107$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$84,821$0$0$No950,000$--------950,000$--------No--------Lien
Conor GeekiePhantoms (PHI)C222004-05-05CANYes207 Lbs6 ft4NoNoTrade2026-02-19NoNo32025-10-22FalseFalsePro & Farm1,485,000$132,589$0$0$No1,485,000$1,485,000$-------1,485,000$1,485,000$-------NoNo-------Lien
Curtis HallPhantoms (PHI)C262000-04-26USANo212 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm993,000$88,661$0$0$No993,000$--------993,000$--------No--------Lien
Daniel D'AmatoPhantoms (PHI)C/LW/RW252001-04-08ONTNo194 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm979,000$87,411$0$0$No979,000$--------979,000$--------No--------Lien
David SpacekPhantoms (PHI)D232003-02-18USANo190 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,331,000$118,839$0$0$No1,331,000$1,331,000$-------1,331,000$1,331,000$-------NoNo-------Lien
Declan CarlilePhantoms (PHI)D262000-05-18USAYes192 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,189,000$106,161$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$116,071$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$114,018$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$118,036$0$0$No1,322,000$1,322,000$-------1,322,000$1,322,000$-------NoNo-------Lien
Ian McKinnonPhantoms (PHI)C/LW/RW281998-03-05ONTNo212 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm967,000$86,339$0$0$No967,000$--------967,000$--------No--------Lien
Ivan DemidovPhantoms (PHI)RW202005-12-10RUSYes192 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,268,000$113,214$0$0$No1,268,000$1,268,000$-------1,268,000$1,268,000$-------NoNo-------Lien
Jake LivingstonePhantoms (PHI)D271999-04-16CANNo207 Lbs6 ft4NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm900,000$80,357$0$0$No900,000$--------900,000$--------No--------Lien
Jakub DvorakPhantoms (PHI)D202005-05-25CZEYes210 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$114,018$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Jamieson ReesPhantoms (PHI)C252001-02-26ONTNo186 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,238,000$110,536$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$258,929$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$101,250$0$0$No1,134,000$--------1,134,000$--------No--------Lien
Logan NijhoffPhantoms (PHI)LW242001-06-23BCNo187 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm977,000$87,232$0$0$No977,000$--------977,000$--------No--------Lien
Luca CagnoniPhantoms (PHI)D212004-12-21CANYes180 Lbs5 ft9NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,384,000$123,571$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$97,679$0$0$No1,094,000$--------1,094,000$--------No--------Lien
Matt NietoPhantoms (PHI)LW331992-11-05USANo189 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm3,000,000$267,857$0$0$No---------------------------Lien / Lien NHL
Michael PezzettaPhantoms (PHI)LW281998-03-13CANNo219 Lbs6 ft1NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,448,000$129,286$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$95,089$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$132,679$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$124,464$0$0$No1,394,000$--------1,394,000$--------No--------Lien
Oliver MoorePhantoms (PHI)C212005-01-22USAYes188 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,264,000$112,857$0$0$No1,264,000$1,264,000$-------1,264,000$1,264,000$-------NoNo-------Lien
Owen BeckPhantoms (PHI)C222004-02-03CANYes199 Lbs6 ft0NoNoTrade2026-05-14NoNo32025-10-22FalseFalsePro & Farm1,333,000$119,018$0$0$No1,333,000$1,333,000$-------1,333,000$1,333,000$-------NoNo-------Lien
Parker BellPhantoms (PHI)LW222003-09-26CANYes210 Lbs6 ft5NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,276,000$113,929$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$135,179$0$0$No1,514,000$1,514,000$-------1,514,000$1,514,000$-------NoNo-------Lien
Riley BezeauPhantoms (PHI)C/LW/RW242002-05-04NBNo188 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm923,000$82,411$0$0$No923,000$--------923,000$--------No--------Lien
Riley McKayPhantoms (PHI)C/LW/RW271999-03-07MANNo196 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm973,000$86,875$0$0$No973,000$--------973,000$--------No--------Lien
Rodwin DionicioPhantoms (PHI)D222004-03-30SWIYes207 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,264,000$112,857$0$0$No1,264,000$1,264,000$-------1,264,000$1,264,000$-------NoNo-------Lien
Ryan HoferPhantoms (PHI)RW242002-05-10MANNo181 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,130,000$100,893$0$0$No1,130,000$1,130,000$-------1,130,000$1,130,000$-------NoNo-------Lien
Stephen HallidayPhantoms (PHI)C232002-07-02CANYes212 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,546,000$138,036$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$267,411$0$0$No2,995,000$--------2,995,000$--------No--------Lien / Lien NHL
Trevor ConnellyPhantoms (PHI)LW202006-02-28USAYes165 Lbs6 ft1NoNoTrade2026-05-14NoNo32025-10-22FalseFalsePro & Farm1,300,000$116,071$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien
William LagessonPhantoms (PHI)D301996-02-22SWENo211 Lbs6 ft2NoNoAssign ManuallyNoNo22024-09-09FalseFalsePro & Farm1,955,000$174,554$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$118,393$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$117,589$0$0$No1,317,000$1,317,000$-------1,317,000$1,317,000$-------NoNo-------Lien
Zachary MassicottePhantoms (PHI)D252001-03-15QUENo216 Lbs6 ft4NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm900,000$80,357$0$0$No900,000$--------900,000$--------No--------Lien
Zayne ParekhPhantoms (PHI)D202006-02-15CANYes179 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,278,000$114,107$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
4624.85194 Lbs6 ft12.501,346,630$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jansen HarkinsConnor BedardTrevor Connelly40122
2Nils HoglanderTeddy BluegerCody Glass30122
3Nikita NesterenkoJansen HarkinsCameron Hebig20122
4Matt NietoConor GeekiePhilipp Kurashev10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakHunter Brzustewicz40122
2David SpacekLuca Cagnoni30122
3William LagessonJake Livingstone20122
4Kaedan KorczakHunter Brzustewicz10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jansen HarkinsConnor BedardTrevor Connelly60122
2Nils HoglanderTeddy BluegerCody Glass40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakHunter Brzustewicz60122
2David SpacekLuca Cagnoni40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Connor BedardJansen Harkins60122
2Teddy BluegerNils Hoglander40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakHunter Brzustewicz60122
2David SpacekLuca Cagnoni40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Connor Bedard60122Kaedan KorczakHunter Brzustewicz60122
2Teddy Blueger40122David SpacekLuca Cagnoni40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Connor BedardJansen Harkins60122
2Teddy BluegerNils Hoglander40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kaedan KorczakHunter Brzustewicz60122
2David SpacekLuca Cagnoni40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jansen HarkinsConnor BedardTrevor ConnellyKaedan KorczakHunter Brzustewicz
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jansen HarkinsConnor BedardTrevor ConnellyKaedan KorczakHunter Brzustewicz
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Philipp Kurashev, Nils Hoglander, Conor GeekiePhilipp Kurashev, Nils HoglanderPhilipp Kurashev
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Luca Cagnoni, William Lagesson, Jake LivingstoneLuca CagnoniLuca Cagnoni, William Lagesson
Tirs de pénalité
Connor Bedard, Teddy Blueger, Cody Glass, Jansen Harkins, Philipp Kurashev
Gardien
#1 : Mads Sogaard, #2 : Carter Gylander


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
1Admirals21001000303100010001011100000020241.0003470237877419153035625465314973111100.00%10100.00%0621115553.77%729140751.81%53491058.68%1464566147187219791011
2Americans2010010014-31000010012-11010000002-210.2501230037877419293035625465342241348600.00%4250.00%0621115553.77%729140751.81%53491058.68%1464566147187219791011
3Barracuda3110010046-22110000034-11000010012-130.50045900378774194530356254653441421539222.22%8275.00%0621115553.77%729140751.81%53491058.68%1464566147187219791011
4Bears513010001015-530201000712-52110000033040.400101727003787741979303562546531134525784250.00%10460.00%1621115553.77%729140751.81%53491058.68%1464566147187219791011
5Bruins3120000079-22020000037-41100000042220.333712190037877419443035625465342202340100.00%9277.78%0621115553.77%729140751.81%53491058.68%1464566147187219791011
6Canucks21000010734110000005231000001021141.0007916003787741928303562546532798383133.33%4175.00%0621115553.77%729140751.81%53491058.68%1464566147187219791011
7Checkers3120000089-11010000023-12110000066020.333811191037877419743035625465351151974500.00%7357.14%0621115553.77%729140751.81%53491058.68%1464566147187219791011
8Comets210000011082110000006331000000145-130.750101525003787741955303562546533712274012325.00%6433.33%0621115553.77%729140751.81%53491058.68%1464566147187219791011
9Condors210001005411000010023-11100000031230.75056110037877419233035625465336810308450.00%5180.00%0621115553.77%729140751.81%53491058.68%1464566147187219791011
10Crunch21001000615110000005141000100010141.000610160137877419213035625465311383522100.00%4175.00%0621115553.77%729140751.81%53491058.68%1464566147187219791011
11Eagles20000011660100000104311000000123-130.750691500378774193030356254653301115393133.33%5260.00%0621115553.77%729140751.81%53491058.68%1464566147187219791011
12Griffins41100020151231000001054131100010108260.750151833003787741995303562546538433708112433.33%11645.45%1621115553.77%729140751.81%53491058.68%1464566147187219791011
13Gulls2020000025-31010000001-11010000024-200.000246103787741931303562546534186262150.00%30100.00%0621115553.77%729140751.81%53491058.68%1464566147187219791011
14Heat2110000045-11010000013-21100000032120.50047110037877419403035625465344191526800.00%5180.00%0621115553.77%729140751.81%53491058.68%1464566147187219791011
15IceHogs2010000126-41010000014-31000000112-110.2502460037877419233035625465327914394125.00%7185.71%0621115553.77%729140751.81%53491058.68%1464566147187219791011
16Islanders54100000171072200000074332100000106480.80017264300378774191253035625465314847359012433.33%15473.33%0621115553.77%729140751.81%53491058.68%1464566147187219791011
17Marlies513000012020031100001151142020000059-430.3002031510037877419120303562546537722809217635.29%15753.33%1621115553.77%729140751.81%53491058.68%1464566147187219791011
18Monsters22000000725110000005141100000021141.000711180037877419403035625465331414376350.00%7185.71%0621115553.77%729140751.81%53491058.68%1464566147187219791011
19Moose1010000002-2000000000001010000002-200.000000003787741973035625465372420100.00%220.00%0621115553.77%729140751.81%53491058.68%1464566147187219791011
20Penguins21000010422110000002111000001021141.00044800378774191030356254653229632100.00%3166.67%1621115553.77%729140751.81%53491058.68%1464566147187219791011
21Reign522001001720-32200000096330200100814-650.50017304700378774198330356254653156463710812433.33%16756.25%0621115553.77%729140751.81%53491058.68%1464566147187219791011
22Roadrunners30200100813-530200100813-50000000000010.1678101810378774196430356254653752425499222.22%10460.00%0621115553.77%729140751.81%53491058.68%1464566147187219791011
23Rocket1010000002-21010000002-20000000000000.0000000037877419730356254653115627000%3233.33%0621115553.77%729140751.81%53491058.68%1464566147187219791011
24Senators3100101014951000001032121001000117461.00014223600378774196330356254653772735688225.00%10280.00%1621115553.77%729140751.81%53491058.68%1464566147187219791011
25Silver Knights21001000725110000004041000100032141.0007101701378774193430356254653271040323133.33%5260.00%1621115553.77%729140751.81%53491058.68%1464566147187219791011
26Stars2010100057-21010000014-31000100043120.50055100037877419493035625465355181228600.00%7185.71%0621115553.77%729140751.81%53491058.68%1464566147187219791011
27Thunderbirds514000001025-1530300000417-132110000068-220.20010152500378774191003035625465319651497717317.65%17476.47%0621115553.77%729140751.81%53491058.68%1464566147187219791011
28Wild30300000512-71010000046-22020000016-500.0005914003787741958303562546531084316577342.86%8187.50%0621115553.77%729140751.81%53491058.68%1464566147187219791011
29Wolf Pack2010100047-3100010004311010000004-420.50047110037877419283035625465343131437300.00%7442.86%0621115553.77%729140751.81%53491058.68%1464566147187219791011
30Wolves21100000330110000002021010000013-220.500347013787741914303562546531591436300.00%220.00%0621115553.77%729140751.81%53491058.68%1464566147187219791011
Total81253407564211229-1841131803331114122-84012160423397107-10850.5252113175283537877419143430356254653169156966814681855027.03%2167465.74%6621115553.77%729140751.81%53491058.68%1464566147187219791011
_Since Last GM Reset81253407564211229-1841131803331114122-84012160423397107-10850.5252113175283537877419143430356254653169156966814681855027.03%2167465.74%6621115553.77%729140751.81%53491058.68%1464566147187219791011
_Vs Conference48142203342128150-2224611022216783-1624811011216167-6470.49012818931722378774199203035625465311143754128731142723.68%1284862.50%4621115553.77%729140751.81%53491058.68%1464566147187219791011
_Vs Division23101601221716651158011113432212580011037343290.63071106177113787741945330356254653395149254465511427.45%632560.32%3621115553.77%729140751.81%53491058.68%1464566147187219791011

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8185W121131752814341691569668146835
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8125347564211229
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4113183331114122
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
401216423397107
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1855027.03%2167465.74%6
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
3035625465337877419
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
621115553.77%729140751.81%53491058.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1464566147187219791011


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 Pack3Phantoms4WXSommaire du match
40495Marlies6Phantoms5LXXSommaire du match
42516Phantoms1Barracuda2LXSommaire du match
43527Phantoms2Gulls4LSommaire du match
44542Phantoms2Marlies3LSommaire du match
45557Wild6Phantoms4LSommaire du match
46572Barracuda3Phantoms1LSommaire du match
47595Reign2Phantoms4WSommaire du match
48605Phantoms0Wild4LSommaire du match
49625Senators2Phantoms3WXXSommaire du match
50632Phantoms2Eagles3LXXSommaire du match
51654Thunderbirds5Phantoms1LSommaire du match
52668Phantoms1Wolves3LSommaire du match
53682Roadrunners4Phantoms3LXSommaire du match
54699Phantoms1IceHogs2LXXSommaire du match
56718Americans2Phantoms1LXSommaire du match
57731Phantoms2Penguins1WXXSommaire du match
58746Phantoms0Moose2LSommaire du match
59757Eagles3Phantoms4WXXSommaire du match
61779Phantoms5Griffins2WSommaire du match
62789Rocket2Phantoms0LSommaire du match
63801Phantoms2Islanders1WSommaire du match
65817Phantoms2Admirals0WSommaire du match
66830Wolves0Phantoms2WSommaire du match
67850Admirals0Phantoms1WXSommaire du match
68865Phantoms1Crunch0WXSommaire du match
70881Canucks2Phantoms5WSommaire du match
71892Phantoms2Canucks1WXXSommaire du match
72909Thunderbirds4Phantoms0LSommaire du match
73922Phantoms3Condors1WSommaire du match
75940Phantoms5Thunderbirds3WSommaire du match
76953Condors3Phantoms2LXSommaire du match
78972Gulls1Phantoms0LSommaire du match
80988Phantoms4Comets5LXXSommaire du match
811003Monsters1Phantoms5WSommaire du match
821016Phantoms1Thunderbirds5LSommaire du match
831031Phantoms3Reign4LXSommaire du match
841046Crunch1Phantoms5WSommaire du match
861063Islanders3Phantoms4WSommaire du match
871075Phantoms0Americans2LSommaire du match
891100Checkers3Phantoms2LSommaire du match
901118Comets3Phantoms6WSommaire du match
921139Phantoms2Monsters1WSommaire du match
931152Silver Knights0Phantoms4WSommaire du match
951171Phantoms0Bears2LSommaire du match
961184Islanders1Phantoms3WSommaire du match
981204Phantoms4Stars3WXSommaire du match
991217Phantoms2Checkers4LSommaire du match
1001224Roadrunners5Phantoms3LSommaire du match
1011242Phantoms3Reign6LSommaire du match
1021249Griffins4Phantoms5WXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
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
Assistance79,40040,310
Assistance PCT96.83%98.32%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 2920 - 97.33% 86,787$3,558,269$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
6,127,615$ 6,194,500$ 6,194,500$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
55,308$ 5,436,524$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
173,574$ 10 62,004$ 620,040$




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