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Phantoms
GP: 56 | W: 25 | L: 25 | OTL: 6 | P: 56
GF: 138 | GA: 161 | PP%: 25.21% | PK%: 65.07%
DG: Shareem Mallick | Morale : 46 | Moyenne d’équipe : 58
Prochains matchs #881 vs Canucks

Centre de jeu
Admirals
25-23-8, 58pts
0
1 Phantoms
25-25-6, 56pts
Team Stats
W1SéquenceW5
12-14-2Fiche domicile11-14-3
13-9-6Fiche domicile14-11-3
4-3-3Derniers 10 matchs8-2-0
2.27Buts par match 2.46
2.71Buts contre par match 2.88
26.79%Pourcentage en avantage numérique25.21%
66.43%Pourcentage en désavantage numérique65.07%
Phantoms
25-25-6, 56pts
1
0 Crunch
17-29-9, 43pts
Team Stats
W5SéquenceOTL1
11-14-3Fiche domicile11-11-7
14-11-3Fiche domicile6-18-2
8-2-0Derniers 10 matchs4-4-2
2.46Buts par match 2.29
2.88Buts contre par match 3.05
25.21%Pourcentage en avantage numérique24.22%
65.07%Pourcentage en désavantage numérique72.85%
Canucks
23-26-8, 54pts
Jour 70
Phantoms
25-25-6, 56pts
Statistiques d’équipe
W3SéquenceW5
12-12-4Fiche domicile11-14-3
11-14-4Fiche visiteur14-11-3
5-3-210 derniers matchs8-2-0
2.81Buts par match 2.46
3.19Buts contre par match 2.46
31.58%Pourcentage en avantage numérique25.21%
67.94%Pourcentage en désavantage numérique65.07%
Phantoms
25-25-6, 56pts
Jour 71
Canucks
23-26-8, 54pts
Statistiques d’équipe
W5SéquenceW3
11-14-3Fiche domicile12-12-4
14-11-3Fiche visiteur11-14-4
8-2-010 derniers matchs5-3-2
2.46Buts par match 2.81
2.88Buts contre par match 2.81
25.21%Pourcentage en avantage numérique31.58%
65.07%Pourcentage en désavantage numérique67.94%
Thunderbirds
46-7-3, 95pts
Jour 72
Phantoms
25-25-6, 56pts
Statistiques d’équipe
SOL1SéquenceW5
24-3-1Fiche domicile11-14-3
22-4-2Fiche visiteur14-11-3
8-1-110 derniers matchs8-2-0
4.98Buts par match 2.46
2.79Buts contre par match 2.46
33.55%Pourcentage en avantage numérique25.21%
78.07%Pourcentage en désavantage numérique65.07%
Meneurs d'équipe
Teddy BluegerButs
Teddy Blueger
24
Passes
Cody Glass
34
Points
Cody Glass
53
Plus/Moins
David Spacek
10
Victoires
Carter Gylander
15
Pourcentage d’arrêts
Mads Sogaard
0.871

Statistiques d’équipe
Buts pour
138
2.46 GFG
Tirs pour
957
17.09 Avg
Pourcentage en avantage numérique
25.2%
30 GF
Début de zone offensive
32.6%
Buts contre
161
2.88 GAA
Tirs contre
1147
20.48 Avg
Pourcentage en désavantage numérique
65.1%%
51 GA
Début de la zone défensive
40.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,914
Billets de saison1,500


Informations de la formation

Équipe Pro44
Équipe Mineure20
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 BedardXX100.006842777368849980718680618062627556720202950,000$
2Teddy BluegerX100.0078548575696799638769628075717367726903122,995,000$
3Cody GlassXXX100.0071439277766582678073617075666765736702731,894,000$
4Jansen HarkinsXXX100.0087558983735790626657577975676864656702832,900,000$
5Nils HoglanderX100.0076438880666289652571625925686965676502521,394,000$
6Conor Geekie (R)X100.0083459180806293645162686425515167656502131,485,000$
7Nikita Nesterenko (R)XX100.0088469783755685612660726625484869606402431,486,000$
8Matt NietoX100.0077439678676264613655568025798363646403313,000,000$
9Philipp KurashevXXX100.0067429275706568625863656875686865626402631,514,000$
10Stephen Halliday (R)X100.0080808171828186607859596558464663596302331,546,000$
11Michael PezzettaX100.0093957373814450593350566463646458696002831,448,000$
12Cameron HebigX100.0070668568665655627857656161464561445902921,014,000$
13Kaedan KorczakX100.0081452577766660602559486725555558616302521,134,000$
14Hunter Brzustewicz (R)X100.0077709469728087542552426339464655706202131,322,000$
15David SpacekX100.0075708768728088532551426239464654676202331,331,000$
16Luca Cagnoni (R)X100.0070648770668085602553536051464661566102131,384,000$
17William LagessonX100.0078787868785253532543466644595953636003021,955,000$
18Declan Carlile (R)X100.0073737473736975482537465841464651545902531,189,000$
19Jake LivingstoneX100.007878816478697549253744624345455459590262900,000$
Rayé
1Parker Bell (R)X100.0082818364827278495044486346454555195602231,276,000$
2Felix Unger Sorum (R)X100.0072639366647176525054475944454555185602031,277,000$
3Daniel D'AmatoXXX100.007571846571515155684859625444445820560242979,000$
4Ben Steeves (R)X100.006461726661535258505656585344445819550231950,000$
5Jamieson ReesX100.0074669164664746536555476145444455205402521,238,000$
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 McKinnonXXX100.006578356378505050634550564844445120520282967,000$
11Curtis HallX100.008479956079373645563846644444445220510252993,000$
12Ryan HoferX100.0072707780703432445038445842444450205002331,130,000$
13Riley BezeauXXX100.006768656268414048604447574544445120500232923,000$
14Riley McKayXXX100.006070356370474749614647534544445020500272973,000$
15Logan NijhoffX100.006268476068363448504644544244444820480242977,000$
16Zachary MassicotteX100.008681998081333241252839633745444920550252900,000$
17Jakub Dvorak (R)X100.0081818261814748442534396237444450205502031,277,000$
18Zayne Parekh (R)X100.0075659980655154412528395837444450205502031,278,000$
19Rodwin Dionicio (R)X100.0069765463764240522537535850444454205302231,264,000$
20Xavier Bernard (R)X100.0079807861804140452536396237444450205302631,326,000$
21Mitchell Vande SompelX100.0077689960683735462537396137444450205202921,065,000$
22Bryan Yoon (R)X100.007365936065393845253539593744444920510282900,000$
MOYENNE D’ÉQUIPE100.00756680707256625446495162465050574058
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 Sogaard100.004543549045914649908145474760606202521,094,000$
2Carter Gylander (R)100.004540508346894647918145454559846102431,500,000$
Rayé
1Dylan Wells100.005050637550495055495030444451225202831,300,000$
MOYENNE D’ÉQUIPE100.0047445683477647507771404545575558
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/RW501934539404380143449813.29%18108221.6541014258511231027254.76%1263812000.9811000690
2Teddy BluegerPhantoms (PHI)C522425497402074108140409117.14%32116322.38681424892248982263.01%9032016020.8412201332
3Nils HoglanderPhantoms (PHI)LW56202545-31607275108306318.52%12111519.91461018680002491131.71%413914000.8115000523
4Jansen HarkinsPhantoms (PHI)C/LW/RW49121527-163115768562235019.35%2090818.532358610113295350.29%3442614000.5902111112
5Philipp KurashevPhantoms (PHI)C/LW/RW5662026-58074837121398.45%16103918.560003221014471147.06%342016000.5022000122
6Connor BedardPhantoms (PHI)C/RW401014241120626052123819.23%2179419.861342301013412155.97%318159110.6023000511
7Conor GeekiePhantoms (PHI)C4861723440457349163712.24%1081416.982687330110272151.13%3541216000.5605000233
8Nikita NesterenkoPhantoms (PHI)C/LW4981422-340525380316010.00%1487217.821458610003310233.33%483412000.5001000202
9Hunter BrzustewiczPhantoms (PHI)D5621820-14640671045128213.92%78151427.0514571090112128000%0639000.2600323212
10Matt NietoPhantoms (PHI)LW568614555597144152218.18%1088815.87235978000031039.37%221710100.3206100111
11David SpacekPhantoms (PHI)D5631013101754963351598.57%50125322.392025720222124000%0620000.2100001000
12Michael PezzettaPhantoms (PHI)LW5464106563039213091220.00%123706.862135280000160048.15%2765000.5400213011
13Declan CarlilePhantoms (PHI)D52448-13682071363012913.33%3292817.86224768000048000%0621000.1700121000
14William LagessonPhantoms (PHI)D56178133560762216104.55%39115820.68022271000074000%0322000.1400001001
15Kaedan KorczakPhantoms (PHI)D56347-663561471951315.79%1760510.82224335000015100%0823000.2300001000
16Stephen HallidayPhantoms (PHI)C56156-1017550662112174.76%1074313.27011220000050051.71%205811000.1600100001
17Cameron HebigPhantoms (PHI)C43314-4001313143321.43%52445.6910124000000057.14%1423000.3311000000
18Felix Unger SorumPhantoms (PHI)RW711200041221450.00%08311.91000000000000100.00%122000.4800000010
19Samuel BolducFlyersD3311241610192361216.67%1248114.580001700000000%007000.0800002000
20Tyler KlevenFlyersD29011110019257120%1139813.740000000003000%086000.0500000001
21Luca CagnoniPhantoms (PHI)D56000-46017267320%657110.2000018000039000%14800000000000
22Zachary MassicottePhantoms (PHI)D8000-100110000%030.420000000000000%00000000000000
23Parker BellPhantoms (PHI)LW7000175370000%07010.070000100000000%01100000001000
24Jake LivingstonePhantoms (PHI)D48000-220210000%0450.940000000000000%00100000000000
Statistiques d’équipe totales ou en moyenne1073138226364-194651651032120999333860213.90%4251715215.99325587139961581330888221354.23%2637271288230.4282811615282522
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)39151460.8572.5621350491635288110.636223422102
2Mads SogaardPhantoms (PHI)26101100.8713.1412602066511236001.00022234002
Statistiques d’équipe totales ou en moyenne65252560.8632.77339624157114652411245656104


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$397,366$0$0$No1,035,000$--------1,035,000$--------No--------Lien
Ben SteevesPhantoms (PHI)LW232002-05-10USAYes170 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-16FalseFalsePro & Farm950,000$364,732$0$0$No---------------------------Lien
Bryan YoonPhantoms (PHI)D281998-01-27USAYes172 Lbs6 ft1NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm900,000$345,536$0$0$No900,000$--------900,000$--------No--------Lien
Cameron HebigPhantoms (PHI)C291997-01-21SKWNo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,014,000$389,304$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$575,893$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$727,161$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$364,732$0$0$No950,000$--------950,000$--------No--------Lien
Conor GeekiePhantoms (PHI)C212004-05-05CANYes207 Lbs6 ft4NoNoTrade2026-02-19NoNo32025-10-22FalseFalsePro & Farm1,485,000$570,134$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$381,241$0$0$No993,000$--------993,000$--------No--------Lien
Daniel D'AmatoPhantoms (PHI)C/LW/RW242001-04-08ONTNo194 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm979,000$375,866$0$0$No979,000$--------979,000$--------No--------Lien
David SpacekPhantoms (PHI)D232003-02-18USANo190 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,331,000$511,009$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$456,491$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$499,107$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$490,277$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$507,554$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$371,259$0$0$No967,000$--------967,000$--------No--------Lien
Ivan DemidovPhantoms (PHI)RW202005-12-10RUSYes192 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,268,000$486,821$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$345,536$0$0$No900,000$--------900,000$--------No--------Lien
Jakub DvorakPhantoms (PHI)D202005-05-25CZEYes210 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$490,277$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$475,304$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$1,113,393$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$435,375$0$0$No1,134,000$--------1,134,000$--------No--------Lien
Logan NijhoffPhantoms (PHI)LW242001-06-23BCNo187 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm977,000$375,098$0$0$No977,000$--------977,000$--------No--------Lien
Luca CagnoniPhantoms (PHI)D212004-12-21CANYes180 Lbs5 ft9NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,384,000$531,357$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$420,018$0$0$No1,094,000$--------1,094,000$--------No--------Lien
Matt NietoPhantoms (PHI)LW331992-11-05USANo189 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm3,000,000$1,151,786$0$0$No---------------------------Lien / Lien NHL
Michael PezzettaPhantoms (PHI)LW281998-03-13CANNo219 Lbs6 ft1NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,448,000$555,929$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$408,884$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$570,518$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$535,196$0$0$No1,394,000$--------1,394,000$--------No--------Lien
Oliver MoorePhantoms (PHI)C212005-01-22USAYes188 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,264,000$485,286$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$489,893$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$581,268$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$354,366$0$0$No923,000$--------923,000$--------No--------Lien
Riley McKayPhantoms (PHI)C/LW/RW271999-03-07MANNo196 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm973,000$373,562$0$0$No973,000$--------973,000$--------No--------Lien
Rodwin DionicioPhantoms (PHI)D222004-03-30SWIYes207 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,264,000$485,286$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$433,839$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$593,554$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$1,149,866$0$0$No2,995,000$--------2,995,000$--------No--------Lien / Lien NHL
William LagessonPhantoms (PHI)D301996-02-22SWENo211 Lbs6 ft2NoNoAssign ManuallyNoNo22024-09-09FalseFalsePro & Farm1,955,000$750,580$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$509,089$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$505,634$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$345,536$0$0$No900,000$--------900,000$--------No--------Lien
Zayne ParekhPhantoms (PHI)D202006-02-15CANYes179 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,278,000$490,661$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
4424.84195 Lbs6 ft12.481,348,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Teddy BluegerConnor BedardMatt Nieto40122
2Nils HoglanderConor GeekiePhilipp Kurashev30122
3Connor BedardMatt NietoTeddy Blueger20122
4Connor BedardStephen HallidayNils Hoglander10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter BrzustewiczKaedan Korczak40122
2David SpacekWilliam Lagesson30122
3Hunter BrzustewiczKaedan Korczak20122
4Luca CagnoniHunter Brzustewicz10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nils HoglanderConnor BedardStephen Halliday60122
2Matt NietoTeddy BluegerPhilipp Kurashev40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter BrzustewiczKaedan Korczak60122
2William LagessonDavid Spacek40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Connor BedardTeddy Blueger60122
2Nils HoglanderPhilipp 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
1Connor Bedard60122Kaedan KorczakDavid Spacek60122
2Stephen Halliday40122William LagessonHunter Brzustewicz40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Teddy BluegerConnor Bedard60122
2Matt NietoNils Hoglander40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter BrzustewiczDavid Spacek60122
2William LagessonLuca Cagnoni40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Connor BedardTeddy BluegerNils HoglanderHunter BrzustewiczDavid Spacek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Teddy BluegerConnor BedardNils HoglanderHunter BrzustewiczDavid Spacek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Nieto, Connor Bedard, Nils HoglanderNils Hoglander, Connor BedardConnor Bedard
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Hunter Brzustewicz, David Spacek, William LagessonHunter BrzustewiczDavid Spacek, Hunter Brzustewicz
Tirs de pénalité
Matt Nieto, Nils Hoglander, Connor Bedard, Philipp Kurashev, Teddy Blueger
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
1Admirals21001000303100010001011100000020241.0003470224554914152043733624114973111100.00%10100.00%040576453.01%51594654.44%37563159.43%100438310196071375700
2Americans1000010012-11000010012-10000000000010.500123002455491416204373362412211723400.00%10100.00%040576453.01%51594654.44%37563159.43%100438310196071375700
3Barracuda3110010046-22110000034-11000010012-130.50045900245549144520437336241441421539222.22%8275.00%040576453.01%51594654.44%37563159.43%100438310196071375700
4Bears412010001013-330201000712-51100000031240.50010172700245549146620437336241863923604250.00%9455.56%140576453.01%51594654.44%37563159.43%100438310196071375700
5Bruins3120000079-22020000037-41100000042220.333712190024554914442043733624142202340100.00%9277.78%040576453.01%51594654.44%37563159.43%100438310196071375700
6Checkers11000000422000000000001100000042221.00045900245549142520437336241165219200.00%10100.00%040576453.01%51594654.44%37563159.43%100438310196071375700
7Crunch10001000101000000000001000100010121.000123012455491472043733624110216000%10100.00%040576453.01%51594654.44%37563159.43%100438310196071375700
8Eagles20000011660100000104311000000123-130.750691500245549143020437336241301115393133.33%5260.00%040576453.01%51594654.44%37563159.43%100438310196071375700
9Griffins3110001010820000000000031100010108240.66710112100245549147120437336241612561568225.00%9455.56%140576453.01%51594654.44%37563159.43%100438310196071375700
10Gulls1010000024-2000000000001010000024-200.000246102455491420204373362413484132150.00%20100.00%040576453.01%51594654.44%37563159.43%100438310196071375700
11Heat2110000045-11010000013-21100000032120.50047110024554914402043733624144191526800.00%5180.00%040576453.01%51594654.44%37563159.43%100438310196071375700
12IceHogs2010000126-41010000014-31000000112-110.2502460024554914232043733624127914394125.00%7185.71%040576453.01%51594654.44%37563159.43%100438310196071375700
13Islanders3210000010640000000000032100000106440.66710152500245549147320437336241943525657228.57%10280.00%040576453.01%51594654.44%37563159.43%100438310196071375700
14Marlies513000012020031100001151142020000059-430.3002031510024554914120204373362417722809217635.29%15753.33%140576453.01%51594654.44%37563159.43%100438310196071375700
15Moose1010000002-2000000000001010000002-200.000000002455491472043733624172420100.00%220.00%040576453.01%51594654.44%37563159.43%100438310196071375700
16Penguins21000010422110000002111000001021141.00044800245549141020437336241229632100.00%3166.67%140576453.01%51594654.44%37563159.43%100438310196071375700
17Reign3210000011101220000009631010000024-240.667111829002455491454204373362411053425638337.50%10460.00%040576453.01%51594654.44%37563159.43%100438310196071375700
18Roadrunners2010010058-32010010058-30000000000010.250561100245549143820437336241491314346233.33%7357.14%040576453.01%51594654.44%37563159.43%100438310196071375700
19Rocket1010000002-21010000002-20000000000000.0000000024554914720437336241115627000%3233.33%040576453.01%51594654.44%37563159.43%100438310196071375700
20Senators3100101014951000001032121001000117461.00014223600245549146320437336241772735688225.00%10280.00%140576453.01%51594654.44%37563159.43%100438310196071375700
21Silver Knights10001000321000000000001000100032121.00034700245549141820437336241174613100.00%3233.33%040576453.01%51594654.44%37563159.43%100438310196071375700
22Stars1010000014-31010000014-30000000000000.00011200245549141720437336241187214300.00%10100.00%040576453.01%51594654.44%37563159.43%100438310196071375700
23Thunderbirds20200000413-920200000413-90000000000000.000471100245549144820437336241832524258225.00%7357.14%040576453.01%51594654.44%37563159.43%100438310196071375700
24Wild30300000512-71010000046-22020000016-500.0005914002455491458204373362411084316577342.86%8187.50%040576453.01%51594654.44%37563159.43%100438310196071375700
25Wolf Pack2010100047-3100010004311010000004-420.50047110024554914282043733624143131437300.00%7442.86%040576453.01%51594654.44%37563159.43%100438310196071375700
26Wolves21100000330110000002021010000013-220.500347012455491414204373362411591436300.00%220.00%040576453.01%51594654.44%37563159.43%100438310196071375700
Total56152506343138161-2328614032217091-2128911031226870-2560.50013821034814245549149572043733624111474184659981193025.21%1465165.07%540576453.01%51594654.44%37563159.43%100438310196071375700
_Since Last GM Reset56152506343138161-2328614032217091-2128911031226870-2560.50013821034814245549149572043733624111474184659981193025.21%1465165.07%540576453.01%51594654.44%37563159.43%100438310196071375700
_Vs Conference3411140223293101-81848022115063-1316760002143385360.52993137230022455491463020437336241728266310599812125.93%863361.63%440576453.01%51594654.44%37563159.43%100438310196071375700
_Vs Division187110111157525836011012224-210450001035287200.5565785142012455491435320437336241307115216341401025.00%491765.31%340576453.01%51594654.44%37563159.43%100438310196071375700

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5656W5138210348957114741846599814
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5615256343138161
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2861432217091
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2891131226870
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1193025.21%1465165.07%5
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
2043733624124554914
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
40576453.01%51594654.44%37563159.43%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
100438310196071375700


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
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
Assistance54,02027,581
Assistance PCT96.46%98.50%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
15 2914 - 97.14% 86,543$2,423,202$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,142,583$ 5,931,200$ 5,931,200$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
52,957$ 3,672,486$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,298,144$ 43 59,654$ 2,565,122$




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