Connexion

Phantoms
GP: 4 | W: 1 | L: 3 | OTL: 0 | P: 2
GF: 8 | GA: 11 | PP%: 33.33% | PK%: 71.43%
DG: Shareem Mallick | Morale : 48 | Moyenne d’équipe : 58
Prochains matchs #75 vs Griffins
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Centre de jeu
Roadrunners
4-1-0, 8pts
4
FINAL
2 Phantoms
1-3-0, 2pts
Team Stats
W4SéquenceW1
1-1-0Fiche domicile1-2-0
3-0-0Fiche domicile0-1-0
4-1-0Derniers 10 matchs1-3-0
3.80Buts par match 2.00
3.40Buts contre par match 2.75
11.11%Pourcentage en avantage numérique33.33%
86.67%Pourcentage en désavantage numérique71.43%
Bears
1-3-1, 3pts
1
FINAL
2 Phantoms
1-3-0, 2pts
Team Stats
OTL1SéquenceW1
0-2-0Fiche domicile1-2-0
1-1-1Fiche domicile0-1-0
1-3-1Derniers 10 matchs1-3-0
2.00Buts par match 2.00
4.60Buts contre par match 2.75
36.84%Pourcentage en avantage numérique33.33%
100.00%Pourcentage en désavantage numérique71.43%
Phantoms
1-3-0, 2pts
Jour 7
Griffins
2-2-0, 4pts
Statistiques d’équipe
W1SéquenceL1
1-2-0Fiche domicile1-1-0
0-1-0Fiche visiteur1-1-0
1-3-010 derniers matchs2-2-0
2.00Buts par match 2.75
2.75Buts contre par match 2.75
33.33%Pourcentage en avantage numérique16.67%
71.43%Pourcentage en désavantage numérique86.67%
Thunderbirds
1-2-1, 3pts
Jour 9
Phantoms
1-3-0, 2pts
Statistiques d’équipe
OTL1SéquenceW1
1-1-1Fiche domicile1-2-0
0-1-0Fiche visiteur0-1-0
1-2-110 derniers matchs1-3-0
2.50Buts par match 2.00
3.25Buts contre par match 2.00
12.50%Pourcentage en avantage numérique33.33%
86.96%Pourcentage en désavantage numérique71.43%
Phantoms
1-3-0, 2pts
Jour 10
Senators
3-0-1, 7pts
Statistiques d’équipe
W1SéquenceW2
1-2-0Fiche domicile2-0-0
0-1-0Fiche visiteur1-0-1
1-3-010 derniers matchs3-0-1
2.00Buts par match 4.50
2.75Buts contre par match 4.50
33.33%Pourcentage en avantage numérique46.67%
71.43%Pourcentage en désavantage numérique84.62%
Meneurs d'équipe
Teddy BluegerButs
Teddy Blueger
4
Passes
Cody Glass
5
Points
Cody Glass
6
Plus/Moins
Cody Glass
2
Victoires
Mads Sogaard
1
Pourcentage d’arrêts
Mads Sogaard
0.861

Statistiques d’équipe
Buts pour
8
2.00 GFG
Tirs pour
76
19.00 Avg
Pourcentage en avantage numérique
33.3%
4 GF
Début de zone offensive
32.8%
Buts contre
11
2.75 GAA
Tirs contre
85
21.25 Avg
Pourcentage en désavantage numérique
71.4%%
4 GA
Début de la zone défensive
40.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,934
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
1Teddy BluegerX100.0078548575696799628667608075707268486803122,995,000$
2Cody GlassXXX100.0071439177766582658071597175656666496702631,894,000$
3Jansen HarkinsXXX100.0087558983735790626656568175666765476602832,900,000$
4Nils HoglanderX100.0076438779656289642569606125676866466402421,394,000$
5Nikita Nesterenko (R)XX100.0088469681735685612660726725474770466402431,486,000$
6Matt NietoX100.0077439578676264623656568225788264466403313,000,000$
7Philipp KurashevXXX100.0067429175706568625862666975676766466402631,514,000$
8Stephen Halliday (R)X100.0080808070818186627860616658454564466302331,546,000$
9Michael PezzettaX99.0094957273814450603351576563636359516002731,448,000$
10Cameron HebigX100.0071668468665655637858666261454462495902821,014,000$
11Tyler KlevenX100.007855897584649659254748732557576046670231916,667$
12Samuel BolducX100.0087839667837985552549467044505160466502521,278,000$
13Kaedan KorczakX100.0080452577766660602559476825545458466302421,134,000$
14Luca Cagnoni (R)X100.0071648668648085612554546251454562466202031,384,000$
15Hunter Brzustewicz (R)X100.0077709468718087532550416339454556466102131,322,000$
16David SpacekX100.0075708667718088532550416239454555496102231,331,000$
17William LagessonX100.0078787868785253532543466744585854496002921,955,000$
18Declan Carlile (R)X100.0073737473736975482538446041454552495902531,189,000$
19Zachary MassicotteX100.008681998081333241252839633744444949560242900,000$
Rayé
1Parker Bell (R)X100.0082818363817278495044486446444456465602231,276,000$
2Felix Unger Sorum (R)X100.0072639365637176525054476044444456465602031,277,000$
3Daniel D'AmatoXXX100.007571846571515155684859625444445846560242979,000$
4Jamieson ReesX100.0074669164664746536555476145444455465402421,238,000$
5Anthony VincentXXX100.0069706665705455526547535850444455465402821,035,000$
6Ivan Demidov (R)X100.0079719980715356445038446142444453465402031,268,000$
7Ryder KorczakX100.007163886463484852655148604644445546530231750,000$
8Zach SolowX100.0069657764655050525053475945444454465302731,317,000$
9Oliver Moore (R)X100.0077679980675052445538446142444452465302031,264,000$
10Ian McKinnonXXX100.006578356378505050634550564844445146520272967,000$
11Ryan HoferX100.0072707780703432445038445842444450465102331,130,000$
12Curtis HallX100.008479956079373645563846644444445246510252993,000$
13Riley McKayXXX100.006070356370474749614647534544445046510262973,000$
14Riley BezeauXXX100.006768656268414048604447574544445146500232923,000$
15Logan NijhoffX100.006268476068363448504644544244444846490242977,000$
16Jake LivingstoneX82.487978816478697549253845634344445550590262900,000$
17Jakub Dvorak (R)X100.0081818261814748442534396237444450465502031,277,000$
18Zayne Parekh (R)X100.0075659980655154412528395837444450465501931,278,000$
19Xavier Bernard (R)X100.0079807861804140452536396237444450465402531,326,000$
20Rodwin Dionicio (R)X100.0069765463764240522537535850444454465302131,264,000$
21Mitchell Vande SompelX100.0077689960683735462537396137444450465202821,065,000$
22Bryan Yoon (R)X100.007365936065393845253539593744444946510272900,000$
MOYENNE D’ÉQUIPE99.55766781697256615344484963454950564758
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 Sogaard100.004543549045904549908145464661486202521,094,000$
2Carter Gylander (R)100.004440508345894549918145444460536002431,500,000$
Rayé
1Carter George (R)100.00444050744590454991814544446048600193983,000$
2Dylan Wells100.005050637550495055495030444451485202731,300,000$
MOYENNE D’ÉQUIPE100.0046435481468046518073414545584959
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/RW415620051417785.88%28721.81033370000101072.73%1143001.3800000010
2Teddy BluegerPhantoms (PHI)C442602057104840.00%28621.52224470000100061.54%9143001.3900000100
3Nils HoglanderPhantoms (PHI)LW4022-200756340%17518.8700000000040033.33%370000.5300000100
4Jansen HarkinsPhantoms (PHI)C/LW/RW4202-38031661433.33%07318.2610126000000143.90%4134000.5500000001
5Hunter BrzustewiczPhantoms (PHI)D4011-155196310%410325.7501117000012000%002000.1900010000
6Philipp KurashevPhantoms (PHI)C/LW/RW4011-300533260%27117.9800000000040033.33%302000.2800000000
7Michael PezzettaPhantoms (PHI)LW410102158953020.00%38220.6110127000030080.00%510000.2400001000
8Luca CagnoniPhantoms (PHI)D4000-100000000%3164.250000200002000%00000000000000
9Tyler KlevenPhantoms (PHI)D4000-120532010%25413.520000000000000%01100000000000
10Declan CarlilePhantoms (PHI)D4000-2201072200%59924.780000800006000%02000000000000
11Nikita NesterenkoPhantoms (PHI)C/LW4000000365240%16015.02000050000300100.00%12100000000000
12David SpacekPhantoms (PHI)D4000020213000%88822.0500004000011000%01300000000000
13Stephen HallidayPhantoms (PHI)C4000-220083310%04010.1700010000000053.85%130100000000000
14Matt NietoPhantoms (PHI)LW4000000354100%25413.520001500000000%91000000000000
15William LagessonPhantoms (PHI)D4000-140621110%07919.830000400004000%00000000000000
16Cameron HebigPhantoms (PHI)C4000-200023000%05313.27000000000000100.00%11000000000000
17Zachary MassicottePhantoms (PHI)D4000000110000%020.720000000000000%00000000000000
18Samuel BolducPhantoms (PHI)D4000-100120000%05112.820000000000000%00100000000000
19Kaedan KorczakPhantoms (PHI)D4000000000000%020.580000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne7681119-1748106510076323810.53%35118115.54461014710000761154.49%1782721000.3200011211
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)41300.8612.9222600117935000040001
2Carter GylanderPhantoms (PHI)10001.00001300062000004000
Statistiques d’équipe totales ou en moyenne51300.8712.762390011853700044001


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$979,554$0$0$No1,035,000$--------1,035,000$--------No--------Lien
Bryan YoonPhantoms (PHI)D271998-01-27USAYes172 Lbs6 ft1NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm900,000$851,786$0$0$No900,000$--------900,000$--------No--------Lien
Cameron HebigPhantoms (PHI)C281997-01-21SKWNo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,014,000$959,679$0$0$No1,014,000$--------1,014,000$--------No--------Lien / Lien NHL
Carter GeorgePhantoms (PHI)G192006-05-20CANYes195 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm983,000$930,339$0$0$No983,000$983,000$-------983,000$983,000$-------NoNo-------Lien
Carter GylanderPhantoms (PHI)G242001-06-05CANYes190 Lbs6 ft5NoNoProspectNoNo32025-12-08FalseFalsePro & Farm1,500,000$1,419,643$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$1,792,536$0$0$No1,894,000$1,894,000$-------1,894,000$1,894,000$-------NoNo-------Lien
Curtis HallPhantoms (PHI)C252000-04-26USANo212 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm993,000$939,804$0$0$No993,000$--------993,000$--------No--------Lien
Daniel D'AmatoPhantoms (PHI)C/LW/RW242001-04-08ONTNo194 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm979,000$926,554$0$0$No979,000$--------979,000$--------No--------Lien
David SpacekPhantoms (PHI)D222003-02-18USANo190 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,331,000$1,259,696$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$1,125,304$0$0$No1,189,000$1,189,000$-------1,189,000$1,189,000$-------NoNo-------Lien
Dylan WellsPhantoms (PHI)G271998-01-03CANNo190 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,300,000$1,230,357$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$1,208,589$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$1,251,179$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$915,196$0$0$No967,000$--------967,000$--------No--------Lien
Ivan DemidovPhantoms (PHI)RW202005-12-10RUSYes192 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,268,000$1,200,071$0$0$No1,268,000$1,268,000$-------1,268,000$1,268,000$-------NoNo-------Lien
Jake Livingstone (sur la masse salariale)Phantoms (PHI)D261999-04-16CANNo207 Lbs6 ft4NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm900,000$851,786$0$0$Yes900,000$--------900,000$--------No--------Lien
Jakub DvorakPhantoms (PHI)D202005-05-25CZEYes210 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$1,208,589$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$1,171,679$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$2,744,643$0$0$No2,900,000$2,900,000$-------2,900,000$2,900,000$-------NoNo-------Lien / Lien NHL
Kaedan KorczakPhantoms (PHI)D242001-01-29CANNo203 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,134,000$1,073,250$0$0$No1,134,000$--------1,134,000$--------No--------Lien
Logan NijhoffPhantoms (PHI)LW242001-06-23BCNo187 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm977,000$924,661$0$0$No977,000$--------977,000$--------No--------Lien
Luca CagnoniPhantoms (PHI)D202004-12-21CANYes180 Lbs5 ft9NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,384,000$1,309,857$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$1,035,393$0$0$No1,094,000$--------1,094,000$--------No--------Lien
Matt NietoPhantoms (PHI)LW331992-11-05USANo189 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm3,000,000$2,839,286$0$0$No---------------------------Lien / Lien NHL
Michael PezzettaPhantoms (PHI)LW271998-03-13CANNo219 Lbs6 ft1NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,448,000$1,370,429$0$0$No1,448,000$1,448,000$-------1,448,000$1,448,000$-------NoNo-------Lien / Lien NHL
Mitchell Vande SompelPhantoms (PHI)D281997-02-11ONTNo190 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,065,000$1,007,946$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$1,406,393$0$0$No1,486,000$1,486,000$-------1,486,000$1,486,000$-------NoNo-------Lien
Nils HoglanderPhantoms (PHI)LW242000-12-20SWENo185 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm1,394,000$1,319,321$0$0$No1,394,000$--------1,394,000$--------No--------Lien
Oliver MoorePhantoms (PHI)C202005-01-22USAYes188 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,264,000$1,196,286$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$1,207,643$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$1,432,893$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$873,554$0$0$No923,000$--------923,000$--------No--------Lien
Riley McKayPhantoms (PHI)C/LW/RW261999-03-07MANNo196 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm973,000$920,875$0$0$No973,000$--------973,000$--------No--------Lien
Rodwin DionicioPhantoms (PHI)D212004-03-30SWIYes207 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,264,000$1,196,286$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$1,069,464$0$0$No1,130,000$1,130,000$-------1,130,000$1,130,000$-------NoNo-------Lien
Ryder KorczakPhantoms (PHI)C232002-09-23SKWNo172 Lbs5 ft11NoNoN/ANoNo12025-12-08FalseFalsePro & Farm750,000$709,821$0$0$No---------------------------Lien
Samuel BolducPhantoms (PHI)D252000-12-09CANNo224 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,278,000$1,209,536$0$0$No1,278,000$--------1,278,000$--------No--------Lien
Stephen HallidayPhantoms (PHI)C232002-07-02CANYes212 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,546,000$1,463,179$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$2,834,554$0$0$No2,995,000$--------2,995,000$--------No--------Lien / Lien NHL
Tyler KlevenPhantoms (PHI)D232002-01-10USANo221 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm916,667$867,560$0$0$No---------------------------Lien
William LagessonPhantoms (PHI)D291996-02-22SWENo211 Lbs6 ft2NoNoAssign ManuallyNoNo22024-09-09FalseFalsePro & Farm1,955,000$1,850,268$0$0$No1,955,000$--------1,955,000$--------No--------Lien / Lien NHL
Xavier BernardPhantoms (PHI)D252000-01-06QCYes210 Lbs6 ft4NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,326,000$1,254,964$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$1,246,446$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$851,786$0$0$No900,000$--------900,000$--------No--------Lien
Zayne ParekhPhantoms (PHI)D192006-02-15CANYes179 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,278,000$1,209,536$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
4524.44196 Lbs6 ft12.441,330,104$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaTeddy BluegerCody Glass40122
2Nils HoglanderJansen HarkinsPhilipp Kurashev30122
3Michael PezzettaMatt NietoNikita Nesterenko20122
4Cameron HebigStephen HallidayMichael Pezzetta10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter BrzustewiczDeclan Carlile40122
2David SpacekWilliam Lagesson30122
3Hunter BrzustewiczDeclan Carlile20122
4Tyler KlevenSamuel Bolduc10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael PezzettaTeddy BluegerCody Glass60122
2Matt NietoJansen HarkinsNikita Nesterenko40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter BrzustewiczDeclan Carlile60122
2William LagessonDavid Spacek40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Teddy BluegerCody Glass60122
2Michael PezzettaPhilipp Kurashev40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter BrzustewiczDavid Spacek60122
2Declan CarlileWilliam Lagesson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Pezzetta60122Declan CarlileDavid Spacek60122
2Stephen Halliday40122William LagessonHunter Brzustewicz40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cody GlassTeddy Blueger60122
2Michael PezzettaNils Hoglander40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter BrzustewiczDavid Spacek60122
2William LagessonDeclan Carlile40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Teddy BluegerMichael PezzettaCody GlassHunter BrzustewiczDavid Spacek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael PezzettaTeddy BluegerCody GlassHunter BrzustewiczDavid Spacek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Pezzetta, Cameron Hebig, Teddy BluegerMichael Pezzetta, Jansen HarkinsMichael Pezzetta
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Hunter Brzustewicz, David Spacek, Declan CarlileHunter BrzustewiczDavid Spacek, Hunter Brzustewicz
Tirs de pénalité
Cameron Hebig, Teddy Blueger, Jansen Harkins, Cody Glass, Michael Pezzetta
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
1Bears10001000211100010002110000000000021.000235002321132715322186417100.00%2150.00%0325756.14%367051.43%294761.70%733075429146
2Islanders1010000012-1000000000001010000012-100.000112002321182715322321610184125.00%5180.00%0325756.14%367051.43%294761.70%733075429146
3Marlies1010000034-11010000034-10000000000000.00034700232116271532210428134250.00%4175.00%0325756.14%367051.43%294761.70%733075429146
4Roadrunners1010000024-21010000024-20000000000000.0002350023212927153222596173133.33%3166.67%0325756.14%367051.43%294761.70%733075429146
Total40301000811-33020100079-21010000012-120.250811190023217627153228535486512433.33%14471.43%0325756.14%367051.43%294761.70%733075429146
_Since Last GM Reset40301000811-33020100079-21010000012-120.250811190023217627153228535486512433.33%14471.43%0325756.14%367051.43%294761.70%733075429146
_Vs Conference40301000811-33020100079-21010000012-120.250811190023217627153228535486512433.33%14471.43%0325756.14%367051.43%294761.70%733075429146
_Vs Division1030100034-11020100034-10010000000021.00034700232116271532210428134250.00%4175.00%0325756.14%367051.43%294761.70%733075429146

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
42W181119768535486500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4031000811
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
302100079
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
101000012
Derniers 10 matchs
WLOTWOTL SOWSOL
130000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
12433.33%14471.43%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
27153222321
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
325756.14%367051.43%294761.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
733075429146


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
775Phantoms-Griffins-
995Thunderbirds-Phantoms-
10104Phantoms-Senators-
11119Phantoms-Wild-
12133Marlies-Phantoms-
13152Phantoms-Islanders-
15173Bruins-Phantoms-
16187Barracuda-Phantoms-
17195Phantoms-Marlies-
18218Reign-Phantoms-
19227Phantoms-Griffins-
21251Phantoms-Reign-
22261Bears-Phantoms-
24276Phantoms-Bruins-
25292Heat-Phantoms-
27315Penguins-Phantoms-
28329Phantoms-Heat-
29336Phantoms-Wolf Pack-
30357Bears-Phantoms-
31373Phantoms-Silver Knights-
32387Phantoms-Senators-
33397IceHogs-Phantoms-
34412Phantoms-Bears-
35424Stars-Phantoms-
36445Bruins-Phantoms-
37459Phantoms-Checkers-
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
Assistance5,8412,960
Assistance PCT97.35%98.67%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 2934 - 97.79% 87,227$261,681$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
358,550$ 5,985,467$ 5,985,467$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
52,638$ 313,550$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,489,080$ 106 60,138$ 6,374,628$




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