Phantoms
GP: 82 | W: 45 | L: 28 | OTL: 9 | P: 99
GF: 308 | GA: 266 | PP%: 23.51% | PK%: 79.85%
DG: Samuel Bessette | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Monsters
41-36-5, 87pts
2
FINAL
4 Phantoms
45-28-9, 99pts
Team Stats
W1StreakOTL1
22-17-2Home Record26-10-5
19-19-3Away Record19-18-4
5-4-1Last 10 Games6-3-1
3.60Buts par match 3.76
3.71Buts contre par match 3.24
22.02%Pourcentage en avantage numérique23.51%
78.57%Pourcentage en désavantage numérique79.85%
Phantoms
45-28-9, 99pts
4
FINAL
5 Americans
46-30-6, 98pts
Team Stats
OTL1StreakW2
26-10-5Home Record27-12-2
19-18-4Away Record19-18-4
6-3-1Last 10 Games4-5-1
3.76Buts par match 3.56
3.24Buts contre par match 3.28
23.51%Pourcentage en avantage numérique23.66%
79.85%Pourcentage en désavantage numérique77.05%
Meneurs d'équipe
Victoires
Matt Villalta
44
Kevin MandolesePourcentage d’arrêts
Kevin Mandolese
0.913

Statistiques d’équipe
Buts pour
308
3.76 GFG
Tirs pour
3090
37.68 Avg
Pourcentage en avantage numérique
23.5%
67 GF
Début de zone offensive
43.0%
Buts contre
266
3.24 GAA
Tirs contre
2707
33.01 Avg
Pourcentage en désavantage numérique
79.9%
54 GA
Début de la zone défensive
39.0%
Information d’équipe

Directeur généralSamuel Bessette
EntraîneurRyan Craig
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,749
Billets de saison300


Information formation

Équipe Pro35
Équipe Mineure20
Limite contact 55 / 80
Espoirs83


Historique d'équipe

Saison actuelle45-28-9 (99PTS)
Historique833-766-172 (0.470%)
Apparitions séries éliminatoires 10
Historique séries éliminatoires (W-L)27-46
Stanley Cup0


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
SP
Âge
Contrat
Salaire moyen
1Jack Quinn (R)0XX100.006738937476847973567471657563650756802311,329,000$
2Nathan Walker0X100.00724684676881856583666764687072075660301750,000$
3Lukas Reichel (R)0XX100.00633693716884896670696367716268075660221950,000$
4Axel Jonsson-Fjallby (R)0XX100.00683795667578836561646463626768075650262750,000$
5Jack Studnicka (R)0X100.00713889647684806375606165626667075640251789,000$
6Nicolas Aube-Kubel0XX100.00786280667679836457636062616970075640283750,000$
7Rourke Chartier0X100.00663795627582796183586368616869075640283750,000$
8Adam Gaudette0X100.00755174647689856366606465617069075640283750,000$
9Jonas Rondbjerg (R)0XX100.00683895628182855965605866596567075630253999,999$
10Oskar Steen (R)0XXX100.00703788627081846165586360626768075630262999,999$
11Wade Allison (R)0X100.00786077628184825957566163596869075630261750,000$
12William Lockwood (R)0X100.00713987657078816461596263676668075630262750,000$
13Joona Koppanen0XX100.00804187599376845762595865556768075630262999,999$
14Dylan McIlrath0X100.00848260639675846130655860497276075640321800,000$
15Kyle Burroughs0X100.00896870647389835930635676506970075640292750,000$
16Samuel Bolduc (R)0X100.00784089639083816230616064526566075640232892,000$
17Vladislav Kolyachonok (R)0X100.00673881637679816130636265526465075630233999,999$
18Adam Wilsby (R)0X100.00663888597569855830565557466466075600242950,000$
Rayé
1Danil Gushchin (R)0X100.00613788676292846563666461676365075640222950,000$
2Marat Khusnutdinov (R)0X100.00653488666882636564625668666164075620223950,000$
3Brad Malone0XX100.00814566598473785770585463557579075620351950,000$
4Michal Teply (R)0XX100.00723895598179835760585654596365075610233999,999$
5Parker Ford (R)0X100.00583975576685745853596156606466075600243950,000$
6Rory Kerins (R)0X100.00583695616781705965586055616264075600223950,000$
7Dmitry Ovchinnikov (R)0X100.00563695616568635755536054596364075590223950,000$
8Karl Henriksson (R)0X100.00573693596573855861565753586365075590232950,000$
9Jamieson Rees (R)0X100.00583972596771815761585354566365075580232800,000$
10Jake Bischoff0X100.00663982587574815730595456477072075600302950,000$
11Samuel Knazko (R)0X100.00643791587781785630575460476264075600222950,000$
12Daniil Misyul (R)0X100.00704270567963675530575459466466075590233950,000$
13Dawson Barteaux (R)0X100.00653795567464685530575453466466075590243950,000$
14Albert Johansson (R)0X100.00593977566869825530575453466365075580232950,000$
MOYENNE D’ÉQUIPE100.0069438562757980605460596158666807562
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
SP
Âge
Contrat
Salaire moyen
1Matt Villalta (R)100.0077848081767577767577766573075660252750,000$
2Kevin Mandolese (R)100.0074787582737274737274736471075650243999,999$
Rayé
1Dylan Garand (R)100.0075837970747375747375746269075640222950,000$
MOYENNE D’ÉQUIPE100.007582787874737574737574647107565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Craig68706976645984CAN421600,000$


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’équipe
POS
GP
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
1Jack QuinnPhantoms (PHI)LW/RW8249681171828015925541211333411.89%19200324.43152136782352241027210343.28%78100141.17040001467
2Lukas ReichelPhantoms (PHI)LW/RW82415798232809317236010027011.39%36196924.021016266523621392675048.48%19800021.0024000757
3Nathan WalkerPhantoms (PHI)LW77314374135201671683036116310.23%20151519.6861420582181013993251.35%77700010.9824000535
4Axel Jonsson-FjallbyPhantoms (PHI)LW/RW7928427011140591252577420610.89%27151819.22810185321501141486147.12%10400000.9212000355
5Rourke ChartierPhantoms (PHI)C7023376013100971871775511812.99%18123017.5881321371640001153156.76%173700110.9801000177
6Samuel BolducPhantoms (PHI)D8274552174401067713143965.34%139206525.1931114632380330213000.00%000000.5000000011
7Vladislav KolyachonokPhantoms (PHI)D781438521730011789125317411.20%124170521.8651217592030110197210.00%000000.6100000033
8Jack StudnickaPhantoms (PHI)C811831491820092149188541239.57%11111113.72448281300003162153.00%150200000.8800000114
9Nicolas Aube-KubelPhantoms (PHI)C/RW82162440-7495148135189581378.47%8117514.341451396000001045.96%96600010.6800001310
10Dylan McIlrathPhantoms (PHI)D8282937313515272758135499.88%115175321.384711331740000148200.00%000100.4200102422
11Danil GushchinPhantoms (PHI)LW8117183508021133179461199.50%698512.16000470002302150.62%8100000.7100000023
12Adam GaudettePhantoms (PHI)C82142135-12380144135154301039.09%37121314.8003311760000422049.59%85100000.5800000102
13Kyle BurroughsPhantoms (PHI)D51627339475145649336586.45%90102020.01246461030000121100.00%000000.6500001230
14Wade AllisonPhantoms (PHI)RW74622283455118449529676.32%3593612.6500000000000051.85%2700000.6000001100
15Oskar SteenPhantoms (PHI)C/LW/RW759918-320056729535679.47%107309.7400000000001048.60%35800000.4900000010
16Joona KoppanenPhantoms (PHI)C/LW826814-8100393747133812.77%83694.5000004000000252.78%14400000.7600000101
17Adam WilsbyPhantoms (PHI)D4311213-210030253912262.56%3975517.580331776000060100.00%000000.3400000000
18Jake BischoffPhantoms (PHI)D3411112152204119205105.00%3559317.45000329000058000.00%000000.4000000001
19Samuel KnazkoPhantoms (PHI)D475496200502641101712.20%5191519.471012189000089100.00%000000.2000000100
20William LockwoodPhantoms (PHI)RW7543706023214710278.51%32723.6400017000001029.27%4100000.5100000000
21Jonas RondbjergPhantoms (PHI)LW/RW82156-3209275115291.96%63153.8500015000060141.67%2400000.3800000000
22Marat KhusnutdinovPhantoms (PHI)C121124000142125.00%1181.5500000000000050.00%600002.1500000000
23Albert JohanssonPhantoms (PHI)D7000-100102000.00%0263.770000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne15403065558611346383019872036309086721329.90%8382419915.716712218959123135813321789431350.81%759700390.71515105444048
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’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Matt VillaltaPhantoms (PHI)82442790.9033.1948576525826590420.69213820640
2Kevin MandolesePhantoms (PHI)41100.9132.5594004460100.0000075000
Statistiques d’équipe totales ou en moyenne86452890.9033.1849516526227050520.692138275640


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’équipe
POS
Âge
Date de naissance
Nouveau joueur
Poids
Taille
Non-échange
Disponible pour échange
Ballotage forcé
Contrat
Type
Salaire actuel
Salaire restant
Salaire moyen
Salaire moyen restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire annuel 2
Salaire annuel 3
Salaire annuel 4
Salaire annuel 5
Salaire annuel 6
Salaire annuel 7
Salaire annuel 8
Salaire annuel 9
Salaire annuel 10
Link
Adam GaudettePhantoms (PHI)C281996-10-03No194 Lbs6 ft1NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Adam WilsbyPhantoms (PHI)D242000-08-07Yes188 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Albert JohanssonPhantoms (PHI)D232001-01-04Yes168 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Axel Jonsson-FjallbyPhantoms (PHI)LW/RW261998-02-10Yes189 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Brad MalonePhantoms (PHI)C/LW351989-05-20No217 Lbs6 ft2NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Daniil MisyulPhantoms (PHI)D232000-10-20Yes176 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Danil GushchinPhantoms (PHI)LW222002-02-06Yes165 Lbs5 ft8NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Dawson BarteauxPhantoms (PHI)D242000-01-12Yes185 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Dmitry OvchinnikovPhantoms (PHI)LW222002-08-19Yes161 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Dylan GarandPhantoms (PHI)G222002-06-07Yes173 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Dylan McIlrathPhantoms (PHI)D321992-04-20No232 Lbs6 ft5NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Jack Quinn (contrat à 1 volet)Phantoms (PHI)LW/RW232001-09-19Yes185 Lbs6 ft1NoNoNo1Pro & Farm1,329,000$1,329,000$1,329,000$0$NoLien / Lien NHL
Jack StudnickaPhantoms (PHI)C251999-02-18Yes187 Lbs6 ft1NoNoNo1Pro & Farm789,000$789,000$0$0$NoLien / Lien NHL
Jake BischoffPhantoms (PHI)D301994-07-25No188 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Jamieson ReesPhantoms (PHI)C232001-02-26Yes172 Lbs5 ft11NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Jonas RondbjergPhantoms (PHI)LW/RW251999-03-31Yes202 Lbs6 ft2NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Joona KoppanenPhantoms (PHI)C/LW261998-02-25No216 Lbs6 ft5NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Karl HenrikssonPhantoms (PHI)C232001-02-05Yes179 Lbs5 ft9NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Kevin MandolesePhantoms (PHI)G242000-08-22Yes180 Lbs6 ft4NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Kyle BurroughsPhantoms (PHI)D291995-07-12No193 Lbs6 ft0NoNoYes2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Lukas ReichelPhantoms (PHI)LW/RW222002-05-17Yes170 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Marat KhusnutdinovPhantoms (PHI)C222002-07-17Yes176 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Matt VillaltaPhantoms (PHI)G251999-06-03Yes190 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Michal TeplyPhantoms (PHI)LW/RW232001-05-27Yes187 Lbs6 ft3NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Nathan WalkerPhantoms (PHI)LW301994-02-07No187 Lbs5 ft9NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Nicolas Aube-KubelPhantoms (PHI)C/RW281996-05-10No207 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Oskar SteenPhantoms (PHI)C/LW/RW261998-03-09Yes196 Lbs5 ft10NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Parker FordPhantoms (PHI)RW242000-07-20Yes181 Lbs5 ft9NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Rory KerinsPhantoms (PHI)C222002-04-12Yes175 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Rourke ChartierPhantoms (PHI)C281996-04-03No201 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Samuel BolducPhantoms (PHI)D232000-12-09Yes220 Lbs6 ft4NoNoNo2Pro & Farm892,000$892,000$0$0$No892,000$Lien / Lien NHL
Samuel KnazkoPhantoms (PHI)D222002-08-07Yes198 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Vladislav KolyachonokPhantoms (PHI)D232001-05-26Yes193 Lbs6 ft1NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Wade AllisonPhantoms (PHI)RW261997-10-14Yes205 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
William LockwoodPhantoms (PHI)RW261998-06-20Yes178 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3525.11189 Lbs6 ft12.17903,143$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack QuinnRourke ChartierLukas Reichel40122
2Nathan WalkerNicolas Aube-KubelAxel Jonsson-Fjallby30122
3Jack StudnickaOskar SteenWade Allison20122
4Oskar SteenAdam GaudetteJonas Rondbjerg10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel BolducVladislav Kolyachonok40122
2Dylan McIlrathKyle Burroughs30122
3Adam WilsbyAdam Gaudette20122
4Samuel BolducDylan McIlrath10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack QuinnRourke ChartierLukas Reichel60122
2Nathan WalkerNicolas Aube-KubelAxel Jonsson-Fjallby40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel BolducAdam Wilsby60122
2Dylan McIlrathVladislav Kolyachonok40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack QuinnLukas Reichel60122
2Nathan WalkerAxel Jonsson-Fjallby40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel BolducVladislav Kolyachonok60122
2Dylan McIlrathAdam Wilsby40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack Quinn60122Samuel BolducAdam Wilsby60122
2Lukas Reichel40122Dylan McIlrathVladislav Kolyachonok40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack QuinnLukas Reichel60122
2Nathan WalkerAxel Jonsson-Fjallby40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav KolyachonokAdam Wilsby60122
2Dylan McIlrathSamuel Bolduc40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack QuinnRourke ChartierLukas ReichelSamuel BolducDylan McIlrath
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack QuinnRourke ChartierLukas ReichelSamuel BolducDylan McIlrath
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joona Koppanen, Jack Quinn, Lukas ReichelJoona Koppanen, Lukas ReichelJack Quinn
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vladislav Kolyachonok, Dylan McIlrath, Adam WilsbyDylan McIlrathDylan McIlrath, Adam Wilsby
Tirs de pénalité
Jack Quinn, Lukas Reichel, Nathan Walker, Axel Jonsson-Fjallby, Rourke Chartier
Gardien
#1 : Matt Villalta, #2 : Kevin Mandolese
Lignes d’attaque personnalisées en prolongation
Jack Quinn, Lukas Reichel, Nathan Walker, Axel Jonsson-Fjallby, Rourke Chartier, Nicolas Aube-Kubel, Nicolas Aube-Kubel, Oskar Steen, Adam Gaudette, Jack Studnicka, Joona Koppanen
Lignes de défense personnalisées en prolongation
Samuel Bolduc, Vladislav Kolyachonok, Dylan McIlrath, Kyle Burroughs, Adam Wilsby


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
Total
Domicile
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
1Admirals2020000036-31010000024-21010000012-100.00035800110109811184102510449874963252531800.00%5180.00%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
2Americans311001001214-22110000089-11000010045-130.5001222340011010981118810251044987491012935659111.11%9366.67%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
3Barracuda21001000734110000004131000100032141.00071219001101098111751025104498749521310534125.00%5180.00%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
4Bears4210010016133210001009632110000077050.625163046001101098111167102510449874916051369915426.67%16381.25%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
5Bruins302010001415-11000100065120200000810-220.33314274100110109811111810251044987498928347216318.75%16662.50%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
6Checkers310001101394210001008531000001054150.8331322350111010981119610251044987491103832855120.00%15193.33%11649323950.91%1481294050.37%730135154.03%1981137819326021048522
7Comets2020000046-21010000023-11010000023-100.000461000110109811161102510449874972201846700.00%8362.50%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
8Condors21100000761110000005321010000023-120.50071421001101098111651025104498749582813345360.00%30100.00%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
9Crunch3210000013103110000005232110000088040.66713253800110109811110510251044987499517167010220.00%6266.67%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
10Devils41002010201462000200075221000010139481.000203555001101098111153102510449874914652311009444.44%13469.23%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
11Eagles22000000954110000005321100000042241.000916250011010981117610251044987496215658800.00%20100.00%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
12Firebirds210000019631000000134-11100000062430.7509162500110109811110110251044987495515144610330.00%6183.33%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
13Griffins3110010013112211000009631000010045-130.50013253800110109811114310251044987499337179019315.79%5260.00%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
14Gulls2110000078-1110000005411010000024-220.50071320001101098111631025104498749712014455120.00%50100.00%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
15IceHogs220000001037110000005321100000050541.00010182801110109811168102510449874957614579333.33%6266.67%11649323950.91%1481294050.37%730135154.03%1981137819326021048522
16Marlies30200100611-51000010034-12020000037-410.16761016001101098111105102510449874985363065700.00%15380.00%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
17Monsters4210100016133210010009632110000077060.750162945101101098111146102510449874913345269818211.11%12283.33%11649323950.91%1481294050.37%730135154.03%1981137819326021048522
18Moose21100000770110000006331010000014-320.50071219001101098111801025104498749492114448112.50%7271.43%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
19Penguins43100000191272200000011382110000089-160.750193453011101098111165102510449874913832469117847.06%19478.95%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
20Reign201010008801010000023-11000100065120.50081422001101098111771025104498749691919454125.00%7271.43%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
21Roadrunners20200000510-51010000036-31010000024-200.0005813001101098111591025104498749771716502150.00%8275.00%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
22Rocket32100000871211000004401100000043140.667814220011010981111171025104498749792016629444.44%80100.00%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
23Senators33000000171071100000053222000000127561.0001728450011010981111171025104498749943814567457.14%60100.00%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
24Silver Knights2110000048-4110000003211010000016-520.500471100110109811162102510449874977161649800.00%8275.00%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
25Sound Tigers43000100191272200000093621000100109170.8751935540011010981111571025104498749133452412116637.50%12191.67%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
26Stars2010000169-31010000024-21000000145-110.25061218101101098111671025104498749711810568225.00%4175.00%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
27Thunderbirds22000000725110000005231100000020241.000713200111010981117610251044987495318125110220.00%50100.00%11649323950.91%1481294050.37%730135154.03%1981137819326021048522
28Wild2020000039-61010000023-11010000016-500.00036900110109811178102510449874984241649600.00%7357.14%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
29Wolf Pack3110010011921000010034-12110000085330.500112132001101098111133102510449874911440308511436.36%14378.57%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
30Wolves321000001174220000009451010000023-140.66711213200110109811111110251044987499936287812325.00%110100.00%01649323950.91%1481294050.37%730135154.03%1981137819326021048522
31Wranglers211000004311010000023-11100000020220.50045901110109811177102510449874968191236300.00%50100.00%11649323950.91%1481294050.37%730135154.03%1981137819326021048522
Total82372806722308266424122100440116112041411518023211471461990.60430855586325110109811130901025104498749270783864419872856723.51%2685479.85%51649323950.91%1481294050.37%730135154.03%1981137819326021048522
_Since Last GM Reset82372806722308266424122100440116112041411518023211471461990.60430855586325110109811130901025104498749270783864419872856723.51%2685479.85%51649323950.91%1481294050.37%730135154.03%1981137819326021048522
_Vs Conference50241304720208167412514304400105693625101000320103985670.67020837858612110109811119211025104498749166954441512371804927.22%1773480.79%21649323950.91%1481294050.37%730135154.03%1981137819326021048522
_Vs Division2614503310112803213800320057312613650011055496390.75011220531711110109811110321025104498749923301221672983131.63%971782.47%11649323950.91%1481294050.37%730135154.03%1981137819326021048522

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8299OTL130855586330902707838644198725
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8237286722308266
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4122104401161120
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4115182321147146
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2856723.51%2685479.85%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
10251044987491101098111
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
1649323950.91%1481294050.37%730135154.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1981137819326021048522


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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
8 - 2024-10-1122Phantoms2Comets3ALSommaire du match
9 - 2024-10-1235Phantoms2Wranglers0AWSommaire du match
12 - 2024-10-1556Phantoms2Condors3ALSommaire du match
14 - 2024-10-1771Phantoms6Firebirds2AWSommaire du match
16 - 2024-10-1982Comets3Phantoms2BLSommaire du match
19 - 2024-10-2292Bears4Phantoms3BLXSommaire du match
20 - 2024-10-23108Phantoms4Bears5ALSommaire du match
23 - 2024-10-26123Wild3Phantoms2BLSommaire du match
24 - 2024-10-27138Rocket2Phantoms1BLSommaire du match
26 - 2024-10-29148Phantoms5Bruins6ALSommaire du match
28 - 2024-10-31162Thunderbirds2Phantoms5BWSommaire du match
30 - 2024-11-02175Bruins5Phantoms6BWXSommaire du match
33 - 2024-11-05197Phantoms2Wolves3ALSommaire du match
35 - 2024-11-07210Phantoms5Crunch3AWSommaire du match
37 - 2024-11-09225Phantoms5Checkers4AWXXSommaire du match
39 - 2024-11-11240Barracuda1Phantoms4BWSommaire du match
42 - 2024-11-14258Phantoms5Senators3AWSommaire du match
44 - 2024-11-16278Americans3Phantoms5BWSommaire du match
46 - 2024-11-18289Eagles3Phantoms5BWSommaire du match
48 - 2024-11-20302Wolves1Phantoms4BWSommaire du match
51 - 2024-11-23318IceHogs3Phantoms5BWSommaire du match
53 - 2024-11-25338Silver Knights2Phantoms3BWSommaire du match
55 - 2024-11-27356Phantoms1Admirals2ALSommaire du match
57 - 2024-11-29362Wolf Pack4Phantoms3BLXSommaire du match
58 - 2024-11-30381Phantoms2Thunderbirds0AWSommaire du match
63 - 2024-12-05414Checkers5Phantoms4BLXSommaire du match
65 - 2024-12-07425Phantoms3Bruins4ALSommaire du match
66 - 2024-12-08441Roadrunners6Phantoms3BLSommaire du match
68 - 2024-12-10449Phantoms3Monsters1AWSommaire du match
70 - 2024-12-12462Griffins3Phantoms7BWSommaire du match
72 - 2024-12-14476Phantoms1Wild6ALSommaire du match
76 - 2024-12-18507Phantoms4Griffins5ALXSommaire du match
77 - 2024-12-19513Reign3Phantoms2BLSommaire du match
79 - 2024-12-21535Monsters4Phantoms5BWXSommaire du match
81 - 2024-12-23550Phantoms2Penguins6ALSommaire du match
86 - 2024-12-28568Phantoms2Gulls4ALSommaire du match
87 - 2024-12-29585Phantoms6Reign5AWXSommaire du match
89 - 2024-12-31599Phantoms3Barracuda2AWXSommaire du match
91 - 2025-01-02612Phantoms1Silver Knights6ALSommaire du match
94 - 2025-01-05635Phantoms2Marlies3ALSommaire du match
96 - 2025-01-07644Marlies4Phantoms3BLXSommaire du match
98 - 2025-01-09657Stars4Phantoms2BLSommaire du match
100 - 2025-01-11675Gulls4Phantoms5BWSommaire du match
102 - 2025-01-13689Checkers0Phantoms4BWSommaire du match
103 - 2025-01-14698Phantoms4Monsters6ALSommaire du match
105 - 2025-01-16712Phantoms2Sound Tigers3ALXSommaire du match
107 - 2025-01-18722Phantoms6Devils3AWSommaire du match
110 - 2025-01-21751Griffins3Phantoms2BLSommaire du match
112 - 2025-01-23763Phantoms2Wolf Pack3ALSommaire du match
113 - 2025-01-24772Phantoms8Sound Tigers6AWSommaire du match
116 - 2025-01-27795Devils3Phantoms4BWXSommaire du match
118 - 2025-01-29809Phantoms7Devils6AWXXSommaire du match
119 - 2025-01-30816Sound Tigers2Phantoms4BWSommaire du match
122 - 2025-02-02836Phantoms4Eagles2AWSommaire du match
124 - 2025-02-04854Phantoms2Roadrunners4ALSommaire du match
126 - 2025-02-06864Bears2Phantoms6BWSommaire du match
128 - 2025-02-08881Penguins3Phantoms5BWSommaire du match
142 - 2025-02-22892Condors3Phantoms5BWSommaire du match
145 - 2025-02-25922Penguins0Phantoms6BWSommaire du match
147 - 2025-02-27938Phantoms6Penguins3AWSommaire du match
149 - 2025-03-01956Phantoms1Moose4ALSommaire du match
152 - 2025-03-04977Wranglers3Phantoms2BLSommaire du match
154 - 2025-03-06991Moose3Phantoms6BWSommaire du match
156 - 2025-03-081004Firebirds4Phantoms3BLXXSommaire du match
157 - 2025-03-091013Devils2Phantoms3BWXSommaire du match
159 - 2025-03-111027Senators3Phantoms5BWSommaire du match
161 - 2025-03-131043Crunch2Phantoms5BWSommaire du match
163 - 2025-03-151061Wolves3Phantoms5BWSommaire du match
165 - 2025-03-171074Phantoms3Crunch5ALSommaire du match
168 - 2025-03-201092Phantoms3Bears2AWSommaire du match
170 - 2025-03-221105Phantoms4Stars5ALXXSommaire du match
171 - 2025-03-231118Phantoms5IceHogs0AWSommaire du match
173 - 2025-03-251130Phantoms1Marlies4ALSommaire du match
175 - 2025-03-271146Rocket2Phantoms3BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
177 - 2025-03-291159Americans6Phantoms3BLSommaire du match
179 - 2025-03-311179Admirals4Phantoms2BLSommaire du match
184 - 2025-04-051217Phantoms4Rocket3AWSommaire du match
188 - 2025-04-091246Phantoms6Wolf Pack2AWSommaire du match
191 - 2025-04-121265Sound Tigers1Phantoms5BWSommaire du match
192 - 2025-04-131276Phantoms7Senators4AWSommaire du match
194 - 2025-04-151295Monsters2Phantoms4BWSommaire du match
196 - 2025-04-171307Phantoms4Americans5ALXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3020
Assistance80,74331,977
Assistance PCT98.47%77.99%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-31 2749 - 91.64% 93,349$3,827,291$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,599,125$ 3,028,100$ 3,028,100$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,990,234$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,893,805$ 0 18,511$ 0$




Phantoms Leaders statistiques (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
1Drew Shore61319532852337189836136320319.60%2471218219.87428112321220214341653.36%20.861345
2Nathan Walker69319926146080235877955193810.27%141958413.8330518128822419231250.41%70.96212
3Kyle Beach587195188383-517461344922152312.80%2371025217.47483684130961545241543.50%50.75634
4Jack Quinn3271612073684848266728136511.79%75630419.284046862253362128845.96%91.1716
5Wade Allison32012317229582186637480110811.10%111532016.631720371221231020648.85%31.1124

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
1Philipp Grubauer410224144360.9142.6924145561710841254934211490.744199
2Pheonix Copley23412164190.9053.351262724470474370320.75645
3Jordan Pearce1727660180.9033.109392361148549782717740.67264
4Jonas Gustavsson96603060.9062.775570452572740339420.75032
5Matthew Villalta74462010.8993.57412321124524260010.5004

Phantoms Statistiques de l'Équipe de Carrière

Total
Domicile
Visiteur
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
Saison régulière
580204901343166289-1234012210023281128-47408280111185161-7656166258424070535850162504546245252390840433819051964221.43%33710469.14%6657132749.51%759160247.38%591126346.79%1380541188510491862892
680154804454189269-804010210232299131-32405270213290138-4856189299488070368163182304886656342023653388118561894222.22%3419073.61%17783152351.41%758146051.92%618125549.24%1427567372020931894930
77695701522134304-170386270040168158-90383300112166146-8031134212346110326039142204624315191830627422716481773922.03%3099569.26%7628133746.97%594127046.77%551119945.95%134652114328321809897
87695704213159329-170384300210179167-88385270211280162-8233159258417200355465146603865195502163692178216081553623.23%2467868.29%6602125448.01%651134148.55%484101747.59%130749314918081788903
98034270722825322924402213010131331102340121406215120119196253400653270509698225806317468452189679105521041855529.73%2314381.39%5875158055.38%864155655.53%596106256.12%154970415148411800899
1080332805455246254-840161502313124148-244017130314212210616952463816273605083103251107459307882594848108925801887137.77%2115374.88%5864170250.76%840171648.95%557111849.82%154972215998231710841
1180204405542171234-63405260332174130-564015180222197104-765171282453140207171154102926156112318784128516431484631.08%2507171.60%7546124144.00%750170444.01%41190645.36%133147716228801884951
1276173307388220253-333881504146118137-193891803242102116-1475220340560110419371215505828157062517829129417791946432.99%2448166.80%8755156748.18%803175945.65%500104347.94%140060715698141684837
1380293102378279292-13401913020331541411340101800345125151-26872794537321007298100271308309299142896950100419182005929.50%2888570.49%7898180549.75%954200147.68%604126547.75%154074016918261655816
1480293901533213260-4740141800530103133-3040152101003110127-177421335156421062707724450786850793270987566822181664124.70%2436473.66%2841163951.31%911187348.64%512102949.76%156373415918051677845
15804122033562782225640241000114137109284017120324214111328107278460738140691069527490902932893272692238322352136430.05%1463377.40%5850181246.91%922186949.33%561114549.00%164484115927851625819
167629340316321021003814180202295102-73815160114111510878021037558534084655221370718684708246673343313912293314.41%1884476.60%01157226251.15%1399271051.62%609119650.92%1677112819435911000484
17803927020842772126540211201042153112414018150104212410024102277473750310105936928490956906946231571838715312254319.11%1773977.97%01439278951.60%1361264451.48%672133950.19%1917133318946011051521
1876421902166257183743822800035128874138201102131129963310725745371018093748225500789821906215462837514262114320.38%1692982.84%21272259948.94%1196251247.61%560116847.95%185112891780562994497
198246260034326022832412414002101381152341221200133122113910626046372325094828026470840865921237671144915822193415.53%2045971.08%11305263549.53%1157258544.76%652134548.48%1962136619465961053527
2082234009442235270-3541131904221117133-1641102105221118137-197823542866331074757327090845917911275482066519703145517.52%2787074.82%11367290247.11%1329277247.94%637131148.59%1929131419766211067528
2182225001603261340-7941132400301133160-274192601302128180-525526147673742010284743031010221011977297388246018782404518.75%1895272.49%11603310951.56%1394276050.51%700137950.76%1955136919485771046521
22823729085213232903341171407210159145144120150131116414519100323574897220122999233660108910961130316190153920022384920.59%2164977.31%21563314449.71%1611323449.81%671140647.72%1917134720095911034508
23823627011422316282344118110532216113823411816061001551441110431657088622117101851430751037100998259287479369621522566123.83%2926478.08%41710315354.23%1453289950.12%673133650.37%2089148618615701025518
202282502004503426317109412510012032081535541251003300218164541164267761202001661381184362711821186123634295188855820962677728.84%2535379.05%31874337755.49%1488292650.85%852153155.65%2055146418805681016518
202382443105110364325394119170401018418044125140110018014535101364646101021136130928345311581152112621292984360720292635019.01%2636077.19%11891332056.96%1609299453.74%844145757.93%2040145618635741033521
2024823728067223082664241221004401161120414115180232114714619930855586325110109811130901025104498749270783864419872856723.51%2685479.85%51649323950.91%1481294050.37%730135154.03%1981137819326021048522
Total Saison régulière175666176609176818155455858-31387834836604441364328072937-13087831340004735453827382921-183182355459483150283869529167218181391552424402172081868714440560151745426819415384758111623.46%5343137074.36%95251294931650.96%242844912749.43%135852712150.09%374182188840747170183076815303
Séries éliminatoires
9624000001524-930300000614-832100000910-141526410003741590375654278794912711218.18%15660.00%15111046.36%8715855.06%458652.33%105431436212971
10624000001623-731200000913-431200000710-3416223810045616606050552418610017810330.00%22577.27%06613050.77%7317042.94%469349.46%109491336011859
15514000001419-531200000810-22020000069-321422361002561600634254227673210511545.45%16568.75%06612254.10%9015657.69%337544.00%9651111479144
17734000001919031200000880422000001111061935540008832380847480222562812718422.22%13376.92%014023858.82%13122259.01%6810167.33%166117164488944
1840400000916-720200000710-32020000026-409182700053113205140401294128787228.57%13376.92%07615050.67%5913942.45%307042.86%936394295225
19734000002023-3321000001312141300000711-462035550007842000737348237723211421523.81%12191.67%09421743.32%10823545.96%5211545.22%162110173529447
2219910000005666-1010550000032302945000002436-121856951510101819187370239229237722221114461601118.33%531375.47%228371739.47%34276144.94%13931144.69%430300506144243113
23734000001623-7422000001110131200000513-86163046110285222062758321773441682129.52%22290.91%012925949.81%11822851.75%5410252.94%175121159518743
2022514000002023-331200000141402020000069-322036560097402086474700168363013421733.33%15566.67%08819245.83%9017651.14%459248.91%12387114376431
202373400000242313120000089-1422000001614262442660099602196793572285737219418422.22%31777.42%110823845.38%13627449.64%6811459.65%166109177539647
Total Séries éliminatoires73274600000209259-5037142300000116130-143613230000093129-365420936157032186573472441131836766653272680452916861984522.73%2125076.42%41101237346.40%1234251948.99%580115950.04%1630105417795861068530

Phantoms Leaders statistiques (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
1Nicolas Aube-Kubel3411172811774611338.27%966119.461451711271043.58%00.8500
2Matt Benning26422263247851606.67%6064024.64437340110000.00%00.8100
3Michael Rasmussen2610112112278711039.71%1459422.86022911242052.65%00.7100
4Drew Shore2381119283448849.52%650221.873251200020057.75%00.7600
5Travis Dermott1921618-662626434.65%3046024.24268150111000.00%00.7800

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
1Pheonix Copley31131330.9033.3617862210010290110.0000
2Philipp Grubauer1641110.9083.329582053577109010.0000
3Matthew Villalta73310.9113.4140520232590000.0000
4Jonas Gustavsson73220.9033.2143000232370000.0000
5Jordan Pearce72400.9073.803950025270144010.0000