Phantoms
GP: 7 | W: 3 | L: 4
GF: 22 | GA: 22 | PP%: 12.00% | PK%: 81.48%
DG: Samuel Bessette | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Phantoms
3-4-0, 6pts
2
FINAL
4 Americans
14-11-0, 28pts
Team Stats
L2StreakL3
2-2-0Home Record5-6-0
1-2-0Away Record9-5-0
3-4-0Last 10 Games5-5-0
3.14Buts par match 3.16
3.14Buts contre par match 2.84
12.00%Pourcentage en avantage numérique23.81%
81.48%Pourcentage en désavantage numérique87.32%
Americans
14-11-0, 28pts
2
FINAL
1 Phantoms
3-4-0, 6pts
Team Stats
L3StreakL2
5-6-0Home Record2-2-0
9-5-0Away Record1-2-0
5-5-0Last 10 Games3-4-0
3.16Buts par match 3.14
2.84Buts contre par match 3.14
23.81%Pourcentage en avantage numérique12.00%
87.32%Pourcentage en désavantage numérique81.48%
Meneurs d'équipe
Victoires
Matt Villalta
3
Pourcentage d’arrêts
Matt Villalta
0.901

Statistiques d’équipe
Buts pour
22
3.14 GFG
Tirs pour
236
33.71 Avg
Pourcentage en avantage numérique
12.0%
3 GF
Début de zone offensive
39.4%
Buts contre
22
3.14 GAA
Tirs contre
222
31.71 Avg
Pourcentage en désavantage numérique
81.5%
5 GA
Début de la zone défensive
42.9%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,903
Billets de saison300


Information formation

Équipe Pro35
Équipe Mineure20
Limite contact 55 / 80
Espoirs83


Historique d'équipe

Saison actuelle3-4
Historique45-28-8 (0.556%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)3-4
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 SPÂgeContratSalaire 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$
5Danil Gushchin (R)0X100.00613788676292846563666461676365075640222950,000$
6Jack Studnicka (R)0X100.00713889647684806375606165626667075640251789,000$
7Nicolas Aube-Kubel0XX100.00786280667679836457636062616970075640283750,000$
8Rourke Chartier0X100.00663795627582796183586368616869075640283750,000$
9Adam Gaudette0X100.00755174647689856366606465617069075640283750,000$
10Jonas Rondbjerg (R)0XX100.00683895628182855965605866596567075630253999,999$
11Oskar Steen (R)0XXX100.00703788627081846165586360626768075630262999,999$
12Wade Allison (R)0X100.00786077628184825957566163596869075630261750,000$
13William Lockwood (R)0X100.00713987657078816461596263676668075630262750,000$
14Joona Koppanen0XX100.00804187599376845762595865556768075630262999,999$
15Dylan McIlrath0X100.00848260639675846130655860497276075640321800,000$
16Kyle Burroughs0X100.00896870647389835930635676506970075640292750,000$
17Samuel Bolduc (R)0X100.00784089639083816230616064526566075640232892,000$
18Vladislav Kolyachonok (R)0X100.00673881637679816130636265526465075630233999,999$
19Samuel Knazko (R)0X100.00643791587781785630575460476264075600222950,000$
Rayé
1Marat Khusnutdinov (R)0X100.00653488666882636564625668666164075620223950,000$
2Brad Malone0XX100.00814566598473785770585463557579075620351950,000$
3Michal Teply (R)0XX100.00723895598179835760585654596365075610233999,999$
4Parker Ford (R)0X100.00583975576685745853596156606466075600243950,000$
5Rory Kerins (R)0X100.00583695616781705965586055616264075600223950,000$
6Dmitry Ovchinnikov (R)0X100.00563695616568635755536054596364075590223950,000$
7Karl Henriksson (R)0X100.00573693596573855861565753586365075590232950,000$
8Jamieson Rees (R)0X100.00583972596771815761585354566365075580232800,000$
9Adam Wilsby (R)0X100.00663888597569855830565557466466075600242950,000$
10Jake Bischoff0X100.00663982587574815730595456477072075600302950,000$
11Daniil Misyul (R)0X100.00704270567963675530575459466466075590233950,000$
12Dawson Barteaux (R)0X100.00653795567464685530575453466466075590243950,000$
13Albert 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 SPÂgeContratSalaire 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’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
1Rourke ChartierPhantoms (PHI)C74482007171861622.22%113919.92101225000000154.12%19400001.1500000010
2Jack QuinnPhantoms (PHI)LW/RW73472209153413218.82%017224.570116260001280041.79%6700000.8100000110
3Kyle BurroughsPhantoms (PHI)D70771201347440.00%1312718.2001124000013000.00%000001.1000000200
4Nathan WalkerPhantoms (PHI)LW743710013232763114.81%413319.031013190000141064.00%2500011.0500000020
5Nicolas Aube-KubelPhantoms (PHI)C/RW72571201811219169.52%011917.06011219000000142.69%17100001.1700000001
6Axel Jonsson-FjallbyPhantoms (PHI)LW/RW72461606101972010.53%213519.4102251900001610100.00%800000.8800000000
7Samuel BolducPhantoms (PHI)D70440409510260.00%1317825.56000423000022000.00%000000.4500000000
8Vladislav KolyachonokPhantoms (PHI)D71232206865616.67%1416723.93101419000024010.00%000000.3600000001
9Lukas ReichelPhantoms (PHI)LW/RW72132009252411208.33%217024.430116260000291047.06%1700000.3500000010
10Dylan McIlrathPhantoms (PHI)D7112031518662516.67%214420.69000218000015000.00%000000.2800100000
11Oskar SteenPhantoms (PHI)C/LW/RW7112-120618132117.69%011416.2900000000000057.45%9400000.3500000000
12Wade AllisonPhantoms (PHI)RW7202-22057100120.00%17610.9700000000000033.33%600000.5200000001
13Adam WilsbyPhantoms (PHI)D7011-140626340.00%414220.33000224000121000.00%000000.1400000000
14Jack StudnickaPhantoms (PHI)C7011-12041214350.00%28412.0100000000050085.71%700000.2400000000
15Jonas RondbjergPhantoms (PHI)LW/RW7011100127150.00%4415.870000000001000.00%400000.4900000000
16Joona KoppanenPhantoms (PHI)C/LW7011100213030.00%0192.7200000000000078.95%1900001.0500000000
17Adam GaudettePhantoms (PHI)C7000110014611150.00%310615.1500000000000063.64%2200000.0000000000
Statistiques d’équipe totales ou en moyenne11922406210695146172236751799.32%65207217.423693822700021963351.89%63400010.6000100353
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
1Matt VillaltaPhantoms (PHI)73400.9013.1540020212130000.000070100
2Kevin MandolesePhantoms (PHI)10000.8892.612300190000.000007000
Statistiques d’équipe totales ou en moyenne83400.9013.1242320222220000.000077100


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
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 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 Bolduc60122
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 McIlrath40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack Quinn60122Samuel Bolduc60122
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 Kolyachonok60122
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, Dylan McIlrathDylan McIlrath,
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,


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
1Americans7340000022220422000001310331200000912-360.4292240620097512367280795222657114625312.00%27581.48%013225052.80%13227248.53%6511258.04%171116161539245
Total7340000022220422000001310331200000912-360.4292240620097512367280795222657114625312.00%27581.48%013225052.80%13227248.53%6511258.04%171116161539245
_Since Last GM Reset7340000022220422000001310331200000912-360.4292240620097512367280795222657114625312.00%27581.48%013225052.80%13227248.53%6511258.04%171116161539245
_Vs Conference7340000022220422000001310331200000912-360.4292240620097512367280795222657114625312.00%27581.48%013225052.80%13227248.53%6511258.04%171116161539245

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L2224062236222657114600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002222
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001310
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000912
Derniers 10 matchs
WLOTWOTL SOWSOL
340000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
25312.00%27581.48%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
72807959751
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
13225052.80%13227248.53%6511258.04%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
171116161539245


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
1 - 2025-04-244Americans3Phantoms2BLSommaire du match
3 - 2025-04-2612Americans2Phantoms6BWSommaire du match
5 - 2025-04-2820Phantoms3Americans2AWSommaire du match
7 - 2025-04-3028Phantoms4Americans6ALSommaire du match
9 - 2025-05-0236Americans3Phantoms4BWXSommaire du match
11 - 2025-05-0444Phantoms2Americans4ALSommaire du match
13 - 2025-05-0652Americans2Phantoms1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3020
Assistance8,0003,610
Assistance PCT100.00%90.25%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 2903 - 96.75% 97,563$390,250$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 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$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 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
1Jack Quinn824968117182815925541211.89%19200324.43152136782241010343.28%41.1704
2Lukas Reichel8241579823289317236011.39%36196924.021016266521395048.48%21.0024
3Nathan Walker77314374135216716830310.23%20151519.68614205810133251.35%10.9824
4Axel Jonsson-Fjallby7928427011145912525710.89%27151819.22810185301146147.12%00.9212
5Rourke Chartier7023376013109718717712.99%18123017.58813213700013156.76%10.9801

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
1Matt Villalta82442790.9033.1948576525826590420.69213
2Kevin Mandolese41100.9132.5594004460100.0000

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
Saison régulière
2024823728067223082664241221004401161120414115180232114714619930855586325110109811130901025104498749270783864419872856723.51%2685479.85%51649323950.91%1481294050.37%730135154.03%1981137819326021048522
Total Saison régulière823728067223082664241221004401161120414115180232114714619930855586325110109811130901025104498749270783864419872856723.51%2685479.85%51649323950.91%1481294050.37%730135154.03%1981137819326021048522
20247340000022220422000001310331200000912-362240620097512367280795222657114625312.00%27581.48%013225052.80%13227248.53%6511258.04%171116161539245
Total Séries éliminatoires7340000022220422000001310331200000912-362240620097512367280795222657114625312.00%27581.48%013225052.80%13227248.53%6511258.04%171116161539245

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
1Rourke Chartier7448207171822.22%113919.92101200000154.12%01.1500
2Jack Quinn734722915348.82%017224.57011600010041.79%00.8100
3Kyle Burroughs70771213470.00%1312718.2001120000000.00%01.1000
4Nicolas Aube-Kubel7257121811219.52%011917.06011200000142.69%01.1700
5Nathan Walker74371013232714.81%413319.03101300001064.00%11.0500

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
1Matt Villalta73400.9013.1540020212130000.0000
2Kevin Mandolese10000.8892.612300190000.0000