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Phantoms
GP: 12 | W: 3 | L: 8 | OTL: 1 | P: 7
GF: 37 | GA: 43 | PP%: 24.53% | PK%: 76.27%
DG: Julien Lessard | Morale : 70 | Moyenne d’équipe : 65
Prochains matchs #190 vs Penguins

Centre de jeu
Wolf Pack
6-4-2, 14pts
3
1 Phantoms
3-8-1, 7pts
Team Stats
L1SéquenceL4
4-1-0Fiche domicile2-3-0
2-3-2Fiche domicile1-5-1
5-3-2Derniers 10 matchs3-6-1
3.33Buts par match 3.08
2.75Buts contre par match 3.58
23.19%Pourcentage en avantage numérique24.53%
78.72%Pourcentage en désavantage numérique76.27%
Phantoms
3-8-1, 7pts
1
2 Bears
7-4-0, 14pts
Team Stats
L4SéquenceW2
2-3-0Fiche domicile5-1-0
1-5-1Fiche domicile2-3-0
3-6-1Derniers 10 matchs6-4-0
3.08Buts par match 3.73
3.58Buts contre par match 3.73
24.53%Pourcentage en avantage numérique30.61%
76.27%Pourcentage en désavantage numérique75.61%
Penguins
10-2-0, 20pts
Jour 28
Phantoms
3-8-1, 7pts
Statistiques d’équipe
W5SéquenceL4
6-0-0Fiche domicile2-3-0
4-2-0Fiche visiteur1-5-1
8-2-010 derniers matchs3-6-1
3.08Buts par match 3.08
2.08Buts contre par match 3.08
18.03%Pourcentage en avantage numérique24.53%
85.11%Pourcentage en désavantage numérique76.27%
Wolves
5-7-0, 10pts
Jour 30
Phantoms
3-8-1, 7pts
Statistiques d’équipe
W1SéquenceL4
4-2-0Fiche domicile2-3-0
1-5-0Fiche visiteur1-5-1
4-6-010 derniers matchs3-6-1
3.00Buts par match 3.08
3.42Buts contre par match 3.08
14.81%Pourcentage en avantage numérique24.53%
80.49%Pourcentage en désavantage numérique76.27%
Phantoms
3-8-1, 7pts
Jour 33
Griffins
10-1-0, 20pts
Statistiques d’équipe
L4SéquenceW3
2-3-0Fiche domicile5-1-0
1-5-1Fiche visiteur5-0-0
3-6-110 derniers matchs9-1-0
3.08Buts par match 3.91
3.58Buts contre par match 3.91
24.53%Pourcentage en avantage numérique18.18%
76.27%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Buts
Kirby Dach
7
Passes
Tristan Luneau
10
Points
Kirby Dach
12
Plus/Moins
Samuel Bolduc
3
Victoires
Dylan Ferguson
3
Pourcentage d’arrêts
Dylan Ferguson
0.884

Statistiques d’équipe
Buts pour
37
3.08 GFG
Tirs pour
339
28.25 Avg
Pourcentage en avantage numérique
24.5%
13 GF
Début de zone offensive
40.0%
Buts contre
43
3.58 GAA
Tirs contre
354
29.50 Avg
Pourcentage en désavantage numérique
76.3%%
14 GA
Début de la zone défensive
40.8%
Informations de l'équipe

Directeur généralJulien Lessard
EntraîneurJoel Bouchard
DivisionAtlantic
ConférenceConference Est
CapitaineKirby Dach
Assistant #1Logan Brown
Assistant #2Mitchell Vande Sompel


Informations de l’aréna

Capacité3,000
Assistance1,491
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite Contrat46 / 99
Espoirs17


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
1Kirby Dach (C)0XX97.0052239564798483718268637575747978706902532,100,000$
2Nick Robertson0XX99.0053289668708970736469716369676966706702531,735,000$
3Mitchell Stephens0X97.0084778560765870728368737061656544706702921,450,000$
4Logan Brown (A)0X100.00482099588365786763726960657574807066N02821,735,000$
5Martin Frk0XX100.0074456964778672676366686468747666706603311,000,000$
6Matthew Phillips0XX100.00371999746851658063756554567271467065N02821,250,000$
7Brandon Gignac0XX100.004927996573677564726765606672715970640281575,000$
8Lane Pederson0XX100.006239796375837561716261586170725370630293650,000$
9Tim Washe0XX100.00743780558680665588555578556465727062N02531,000,000$
10Filip Mesar0X100.007367856869706761656254646464667770620222900,000$
11Julien Lessard (R)0XX100.00666066727272726170636363615050907062N0193900,000$
12Matthew Strome0X100.00794280578875815559585661556769517062N0273975,000$
13Artyom Levshunov0X100.007846846578928569257252665261629170680202900,000$
14Hunter Drew0XX100.0099903860797180575460606562746965706602811,472,000$
15Tristan Luneau0X100.00723578667580706725777459676260170660221900,000$
16Samuel Bolduc0X100.0079449660808082673062706262676656706602521,526,000$
17Logan Mailloux0X100.008489646180697361256361635961596670640231900,000$
18Mitchell Vande Sompel (A)0X100.0049219260746478653068636655817655706402911,210,000$
Rayé
1Scott Sabourin0X100.00778368627969795558575650619385207061N0342895,000$
2Casey McDonald0XXX100.00593871615967735846665667515858677060N0252615,000$
3Connor Eddy0XX100.00664468606767735862635567495758687060N0243650,000$
4Tyson Feist0X100.007869637074577247304747625066624570600252835,000$
5Gavin White0X100.006761956674567452255552615263616170600231835,000$
6Tyler Duke (R)0X100.005947635859697562457152645351587170600223555,000$
MOYENNE D’ÉQUIPE99.71674880637572756354646163606767607064
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
1Dylan Ferguson099.006275838075838584837776788137707802812,777,500$
2Parker Gahagen0100.006577857876737574737069919720707503322,250,000$
Rayé
1Max Lundgren0100.00717071947171717373696856628170710241900,000$
MOYENNE D’ÉQUIPE99.6766748084747677777672717580467075
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard82706480858065CAN522600,000$


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
1Kirby DachPhantoms (PHI)C/RW1075120201483362021.21%826326.3621310390000480054.37%36600000.9101000010
2Nick RobertsonPhantoms (PHI)LW/RW123912-100215359328.57%326221.9023514470000410047.17%5300000.9102000110
3Tristan LuneauPhantoms (PHI)D1221012-74019152310138.70%1330025.012681748000050000%000000.8001000100
4Mitchell StephensPhantoms (PHI)C12459-11602929468208.70%424420.3503312390000451051.53%26200000.7412000102
5Matthew PhillipsPhantoms (PHI)C/LW1254900001526102419.23%118515.47314936000010031.03%2900000.9700000001
6Martin FrkPhantoms (PHI)LW/RW12448012033133451811.76%423719.821235450002241057.14%1400000.6712000001
7Artyom LevshunovPhantoms (PHI)D12066-72202021157100%1630225.21033946000045000%000000.4000000000
8Samuel BolducPhantoms (PHI)D12156300412198125.26%1325521.311341239000042000%000000.4700000000
9Brandon GignacPhantoms (PHI)C/LW12314-20021317101417.65%218215.20000000000200140.00%3000000.4401000000
10Lane PedersonPhantoms (PHI)C/RW12134020114167156.25%418915.79112439000000025.00%1200000.4200000000
11Logan BrownPhantoms (PHI)C12033-400314186210%018115.1700016000090048.00%20000000.3312000000
12Hunter DrewPhantoms (PHI)RW/D1221324005141451214.29%824520.491127380000290150.00%400000.2401000000
13Filip MesarPhantoms (PHI)RW12123-280191016696.25%515813.2000001000000050.00%800000.3800000000
14Logan MaillouxPhantoms (PHI)D12033-11803882020%1117014.2101103000018000%000000.3500000000
15Mitchell Vande SompelPhantoms (PHI)D12033-120188560%1115312.810000100003000%000000.3900000000
16Matthew StromePhantoms (PHI)LW1220210063202100.00%0252.1400004000020053.85%1300001.5500000100
17Tim WashePhantoms (PHI)C/LW12011-240332030%1534.4900000000000055.32%4700000.3700000000
18Julien LessardPhantoms (PHI)C/LW12101-2005611049.09%0494.1000000000000038.46%1300000.4100000001
19Tyson FeistPhantoms (PHI)D2000000100000%0157.700000000003000%00000000000000
20Gavin WhitePhantoms (PHI)D1000000110000%21515.630000000003000%00000000000000
21Tyler DukePhantoms (PHI)D1000000010000%066.830000000000000%00000000000000
22Connor EddyPhantoms (PHI)C/LW2000000000000%000.100000000000000%00000000000000
23Scott SabourinPhantoms (PHI)RW2000-100002100%0126.390000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne2223665101-25130024924333910323710.62%106351415.8313253810043500023912250.52%105100000.57312000425
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
1Dylan FergusonPhantoms (PHI)123810.8843.3872800413530010.75012120100
Statistiques d’équipe totales ou en moyenne123810.8843.38728004135300112120100


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Artyom LevshunovPhantoms (PHI)D202005-10-28BLRNo211 Lbs6 ft3NoNoTrade2026-02-02NoNo22025-05-22FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Brandon GignacPhantoms (PHI)C/LW281997-11-07CANNo192 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm575,000$0$0$No---------------------------
Casey McDonaldPhantoms (PHI)C/LW/RW252001-05-10CANNo185 Lbs6 ft1YesNoFree AgentNoNo22026-09-02FalseFalsePro & Farm615,000$0$0$No615,000$--------615,000$--------Yes--------
Connor EddyPhantoms (PHI)C/LW242002-04-18CANNo216 Lbs6 ft1YesNoFree AgentNoNo32026-09-19FalseFalsePro & Farm650,000$0$0$No650,000$650,000$-------650,000$650,000$-------YesYes-------
Dylan FergusonPhantoms (PHI)G281998-09-20CANNo211 Lbs6 ft2NoNoFree AgentNoNo12024-12-09FalseFalsePro & Farm2,777,500$0$0$No---------------------------
Filip MesarPhantoms (PHI)RW222004-01-03SVKNo173 Lbs5 ft10NoNoFree AgentNoNo22025-05-25FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Gavin WhitePhantoms (PHI)D232002-11-12CANNo198 Lbs6 ft1NoNoFree AgentNoNo12024-08-12FalseFalsePro & Farm835,000$0$0$No---------------------------
Hunter DrewPhantoms (PHI)RW/D281998-10-21CANNo219 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,472,000$0$0$No---------------------------
Julien LessardPhantoms (PHI)C/LW192007-08-04CANYes210 Lbs6 ft3YesNoFree AgentNoNo32026-08-05FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------YesYes-------
Kirby DachPhantoms (PHI)C/RW252001-01-21CANNo212 Lbs6 ft5NoNoFree AgentNoNo32026-06-20FalseFalsePro & Farm2,100,000$0$0$No2,100,000$2,100,000$-------2,100,000$2,100,000$-------NoNo-------
Lane PedersonPhantoms (PHI)C/RW291997-08-04CANNo203 Lbs6 ft0NoNoTrade2026-01-31NoNo32025-08-22FalseFalsePro & Farm650,000$0$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Logan BrownPhantoms (PHI)C281998-03-05USANo236 Lbs6 ft6YesNoFree AgentNoNo22026-08-22FalseFalsePro & Farm1,735,000$0$0$No1,735,000$--------1,735,000$--------Yes--------
Logan MaillouxPhantoms (PHI)D232003-04-15CANNo219 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Martin FrkPhantoms (PHI)LW/RW331993-10-05CZENo219 Lbs6 ft0NoNoFree AgentNoNo12024-08-31FalseFalsePro & Farm1,000,000$0$0$No---------------------------
Matthew PhillipsPhantoms (PHI)C/LW281998-04-06CANNo166 Lbs5 ft9YesNoFree AgentNoNo22026-08-22FalseFalsePro & Farm1,250,000$0$0$No1,250,000$--------1,250,000$--------Yes--------
Matthew StromePhantoms (PHI)LW271999-01-06CANNo211 Lbs6 ft4YesNoFree AgentNoNo32026-08-26FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------YesYes-------
Max LundgrenPhantoms (PHI)G242002-04-03SWENo229 Lbs6 ft5NoNoFree AgentNoNo12026-06-21FalseFalsePro & Farm900,000$0$0$No---------------------------
Mitchell StephensPhantoms (PHI)C291997-02-05CANNo210 Lbs6 ft0NoNoFree AgentNoNo22024-07-10FalseFalsePro & Farm1,450,000$0$0$No1,450,000$--------1,450,000$--------No--------
Mitchell Vande SompelPhantoms (PHI)D291997-02-11CANNo209 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,210,000$0$0$No---------------------------
Nick RobertsonPhantoms (PHI)LW/RW252001-09-11USANo183 Lbs5 ft10NoNoFree AgentNoNo32025-06-02FalseFalsePro & Farm1,735,000$0$0$No1,735,000$1,735,000$-------1,735,000$1,735,000$-------NoNo-------
Parker GahagenPhantoms (PHI)G331993-05-11USANo203 Lbs6 ft2NoNoFree AgentNoNo22025-08-22FalseFalsePro & Farm2,250,000$0$0$No2,250,000$--------2,250,000$--------No--------
Samuel BolducPhantoms (PHI)D252000-12-09CANNo227 Lbs6 ft4NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,526,000$0$0$No1,526,000$--------1,526,000$--------No--------
Scott SabourinPhantoms (PHI)RW341992-07-30CANNo218 Lbs6 ft3YesNoFree AgentNoNo22026-09-02FalseFalsePro & Farm895,000$0$0$No895,000$--------895,000$--------Yes--------
Tim WashePhantoms (PHI)C/LW252001-08-25USANo212 Lbs6 ft3YesNoFree AgentNoNo32026-08-17FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------YesYes-------
Tristan LuneauPhantoms (PHI)D222004-01-12CANNo197 Lbs6 ft2NoNoTrade2025-08-28NoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Tyler DukePhantoms (PHI)D222004-07-19USAYes194 Lbs5 ft10NoNoFree AgentNoNo32026-07-03FalseFalsePro & Farm555,000$0$0$No555,000$555,000$-------555,000$555,000$-------NoNo-------
Tyson FeistPhantoms (PHI)D252001-01-14CANNo187 Lbs6 ft2NoNoFree AgentNoNo22025-09-06FalseFalsePro & Farm835,000$0$0$No835,000$--------835,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2726.04206 Lbs6 ft11.961,166,315$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick RobertsonKirby DachMartin Frk40122
2Matthew PhillipsMitchell StephensLane Pederson30122
3Brandon GignacLogan BrownFilip Mesar20122
4Julien LessardTim WasheKirby Dach10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artyom LevshunovTristan Luneau40122
2Hunter DrewSamuel Bolduc30122
3Mitchell Vande SompelLogan Mailloux20122
4Artyom LevshunovTristan Luneau10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nick RobertsonKirby DachMartin Frk60122
2Matthew PhillipsMitchell StephensLane Pederson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artyom LevshunovTristan Luneau60122
2Hunter DrewSamuel Bolduc40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kirby DachMitchell Stephens60122
2Nick RobertsonMartin Frk40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artyom LevshunovTristan Luneau60122
2Hunter DrewSamuel Bolduc40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kirby Dach60122Artyom LevshunovTristan Luneau60122
2Mitchell Stephens40122Hunter DrewSamuel Bolduc40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kirby DachMitchell Stephens60122
2Nick RobertsonMartin Frk40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artyom LevshunovTristan Luneau60122
2Hunter DrewSamuel Bolduc40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick RobertsonKirby DachMartin FrkArtyom LevshunovTristan Luneau
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick RobertsonKirby DachMartin FrkArtyom LevshunovTristan Luneau
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Strome, Logan Brown, Brandon GignacMatthew Strome, Logan BrownBrandon Gignac
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mitchell Vande Sompel, Logan Mailloux, Hunter DrewMitchell Vande SompelLogan Mailloux, Hunter Drew
Tirs de pénalité
Kirby Dach, Mitchell Stephens, Nick Robertson, Martin Frk, Logan Brown
Gardien
#1 : Dylan Ferguson, #2 : Parker Gahagen


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
TotalDomicile Visiteur
# 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 RI
1Bears21100000954110000008351010000012-120.50091625001613734511810111913652122607114.29%10280.00%020841650.00%22042451.89%10319951.76%2841942969214971
2Bruins210000101046100000104311100000061541.0001016260016137371118101119134317164212541.67%8362.50%020841650.00%22042451.89%10319951.76%2841942969214971
3Hammers2020000049-51010000035-21010000014-300.00048120016137360118101119135515182914321.43%9188.89%020841650.00%22042451.89%10319951.76%2841942969214971
4Penguins1010000026-4000000000001010000026-400.00023500161373171181011191328101813100.00%9277.78%020841650.00%22042451.89%10319951.76%2841942969214971
5Thunderbirds2010000158-31010000024-21000000134-110.2505914001613734411810111913671228396116.67%10280.00%020841650.00%22042451.89%10319951.76%2841942969214971
6Wolf Pack2020000047-31010000013-21010000034-100.0004711101613735811810111913582422438225.00%10370.00%020841650.00%22042451.89%10319951.76%2841942969214971
7Wolves1010000034-1000000000001010000034-100.0003690016137344118101119133876235120.00%3166.67%020841650.00%22042451.89%10319951.76%2841942969214971
Total1228000113743-65130001018180715000011925-670.29237651021016137333911810111913354106130249531324.53%591476.27%020841650.00%22042451.89%10319951.76%2841942969214971
_Since Last GM Reset1228000113743-65130001018180715000011925-670.29237651021016137333911810111913354106130249531324.53%591476.27%020841650.00%22042451.89%10319951.76%2841942969214971
_Vs Conference1228000113743-65130001018180715000011925-670.29237651021016137333911810111913354106130249531324.53%591476.27%020841650.00%22042451.89%10319951.76%2841942969214971

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
127L4376510233935410613024910
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
122800113743
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
51300101818
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
71500011925
Derniers 10 matchs
WLOTWOTL SOWSOL
260011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
531324.53%591476.27%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
11810111913161373
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
20841650.00%22042451.89%10319951.76%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2841942969214971


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
12Phantoms3Wolf Pack4LSommaire du match
217Phantoms2Penguins6LSommaire du match
432Thunderbirds4Phantoms2LSommaire du match
751Bears3Phantoms8WSommaire du match
1072Bruins3Phantoms4WXXSommaire du match
1284Phantoms6Bruins1WSommaire du match
1499Phantoms1Hammers4LSommaire du match
16111Phantoms3Thunderbirds4LXXSommaire du match
18124Hammers5Phantoms3LSommaire du match
20137Phantoms3Wolves4LSommaire du match
23157Wolf Pack3Phantoms1LSommaire du match
26177Phantoms1Bears2LSommaire du match
28190Penguins-Phantoms-
30210Wolves-Phantoms-
33227Phantoms-Griffins-
36248Barracuda-Phantoms-
39264Roadrunners-Phantoms-
41276Phantoms-Stars-
43296Hammers-Phantoms-
45305Phantoms-Americans-
47323Phantoms-Eagles-
49338Eagles-Phantoms-
51352Phantoms-Moose-
53361Phantoms-Marlies-
55377Wranglers-Phantoms-
60403Canucks-Phantoms-
62421Phantoms-Firebird-
64434Phantoms-Monsters-
65443Americans-Phantoms-
69467Griffins-Phantoms-
71483Phantoms-Crunch-
73495Phantoms-Roadrunners-
75507Penguins-Phantoms-
78528Phantoms-Condors-
79537Wolves-Phantoms-
81551Phantoms-Silver Knight-
84570Bruins-Phantoms-
86590Phantoms-Wolves-
88601Firebird-Phantoms-
90616Phantoms-Wranglers-
91633Condors-Phantoms-
94653Phantoms-Bruins-
97666Gulls-Phantoms-
99684Phantoms-Barracuda-
101695Wild-Phantoms-
103709Phantoms-Senators-
105728Crunch-Phantoms-
108745Phantoms-Gulls-
110761Stars-Phantoms-
112776Phantoms-Checkers-
116790Reign-Phantoms-
119817Comets-Phantoms-
121831Phantoms-Admirals-
123843Phantoms-Hammers-
124855Checkers-Phantoms-
127878Wolf Pack-Phantoms-
129890Phantoms-Wolf Pack-
131913Marlies-Phantoms-
132920Phantoms-Comets-
136936Phantoms-Canucks-
138949Senators-Phantoms-
140959Phantoms-Wild-
142977Phantoms-Thunderbirds-
143987Thunderbirds-Phantoms-
1481014IceHogs-Phantoms-
1501029Phantoms-Reign-
1521047Bears-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1541055Phantoms-Bears-
1571073Phantoms-Penguins-
1591084Silver Knight-Phantoms-
1621107Phantoms-IceHogs-
1641118Moose-Phantoms-
1681143Admirals-Phantoms-
1701162Phantoms-Rockets-
1741177Monsters-Phantoms-
1821201Rockets-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets10099
Assistance5,3732,081
Assistance PCT53.73%41.62%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
33 1491 - 49.69% 221,509$1,107,545$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
990,859$ 6,298,100$ 6,298,100$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 903,298$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
7,309,797$ 158 37,287$ 5,891,346$




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