Phantoms
GP: 7 | W: 3 | L: 4
GF: 24 | GA: 23 | PP%: 22.22% | PK%: 77.42%
DG: Samuel Bessette | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Crunch
4-7-0, 8pts
4
FINAL
3 Phantoms
3-4-0, 6pts
Team Stats
L3StreakL1
2-4-0Home Record1-2-0
2-3-0Away Record2-2-0
4-5-1Last 10 Games3-3-1
3.27Buts par match 3.43
3.82Buts contre par match 3.29
26.53%Pourcentage en avantage numérique22.22%
75.00%Pourcentage en désavantage numérique77.42%
Phantoms
3-4-0, 6pts
2
FINAL
6 Crunch
4-7-0, 8pts
Team Stats
L1StreakL3
1-2-0Home Record2-4-0
2-2-0Away Record2-3-0
3-3-1Last 10 Games4-5-1
3.43Buts par match 3.27
3.29Buts contre par match 3.82
22.22%Pourcentage en avantage numérique26.53%
77.42%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Matthew VillaltaVictoires
Matthew Villalta
3
Dylan GarandPourcentage d’arrêts
Dylan Garand
1

Statistiques d’équipe
Buts pour
24
3.43 GFG
Tirs pour
219
31.29 Avg
Pourcentage en avantage numérique
22.2%
4 GF
Début de zone offensive
38.0%
Buts contre
23
3.29 GAA
Tirs contre
285
40.71 Avg
Pourcentage en désavantage numérique
77.4%
7 GA
Début de la zone défensive
43.8%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Information formation

Équipe Pro33
Équipe Mineure21
Limite contact 54 / 80
Espoirs83


Historique d'équipe

Saison actuelle3-4
Historique153-78-25 (0.598%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)4-8
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
1Axel Jonsson-Fjallby (R)0XX100.00653895667577836459626763666567075650253750,000$
2Jack Quinn (R)0XX100.00573890717485836955686461676163075650222925,000$
3Nathan Walker0X100.00754288646777856575626366656971075650292750,000$
4Lukas Reichel (R)0XX100.00583695706885876770686462696163075650212950,000$
5Gerry Mayhew0XX100.00673774666484856365576860667173075640311925,000$
6Nicolas Aube-Kubel (R)0XX100.00824176677674846555636256656870075640271750,000$
7Brad Malone0XX100.00864171608477805879625967577478075640342950,000$
8Wade Allison (R)0X100.00854286668179766357566265616567075640261925,000$
9Adam Gaudette0X100.00684081667591836474636559666870075640271750,000$
10Joona Koppanen0XX100.00814188629379845980635868596567075640253999,999$
11Danil Gushchin (R)0X100.00583589676392736457636559686163075630213950,000$
12Oskar Steen (R)0XXX100.00663785656984866365616064626567075630253999,999$
13Rourke Chartier (R)0X100.00683695637088745976586468616769075630271925,000$
14William Lockwood (R)0X100.00783881636783816260586261636665075630251925,000$
15Dylan McIlrath0X100.00858263609676866130655860497175075640312800,000$
16Samuel Bolduc (R)0X100.00784088639083846030626361536364075640233925,000$
17Travis Dermott0X100.00663693687583736430625963516870075640271750,000$
18Kaedan Korczak (R)0X100.00774274628485805930655864496264075630222925,000$
19Samuel Knazko (R)0X100.00653790597781696030615862496163075610213950,000$
Rayé
1Jack Studnicka (R)0X100.00693583647578796378615865686365075630242789,000$
2Kristian Reichel (R)0XX100.00683986627978805879615962606567075620251925,000$
3Jamieson Rees (R)0X100.00584171616785835970635855566264075600223925,000$
4Karl Henriksson (R)0X100.00563691556569725457565552536264075580223950,000$
5Cameron Hillis (R)0X100.00553687586775675671525054576365075570231925,000$
6Jake Bischoff (R)0X100.00663887557568695330565457466971075590293950,000$
7Max Gildon (R)0X100.00734175558270725430575356466466075590241925,000$
8Adam Wilsby (R)0X100.00663986557564735430575155456365075580233950,000$
9Wyatte Wylie (R)0X100.00633888557267805330555456466466075580241925,000$
10Albert Johansson (R)0X100.00593977556865695330565457466264075570223950,000$
11Daniil Zhuravlyov (R)0X100.00583787526765615130525053456365075560233950,000$
MOYENNE D’ÉQUIPE100.0069408462757878605460596057656707562
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
1Matthew Villalta (R)100.0073636476727173727173726471075630243775,000$
2Dylan Garand (R)100.0071656670716971706971706165075620213950,000$
Rayé
1Filip Lindberg100.0068606170676668676668676471075600242999,999$
MOYENNE D’ÉQUIPE100.007163647270697170697170636907562
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Craig66727370615785CAN412600,000$


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
1Travis DermottPhantoms (PHI)D71891208815496.67%918226.12134414011126000.00%000000.9800000000
2Nathan WalkerPhantoms (PHI)LW7347-10020121751017.65%115422.141232121011290050.00%1200000.9000000101
3Jack QuinnPhantoms (PHI)LW/RW72466002816101712.50%315321.930113140000130043.48%2300000.7800000010
4Axel Jonsson-FjallbyPhantoms (PHI)LW/RW7325-220561941315.79%314220.420114120000171042.11%1900000.7000000001
5Brad MalonePhantoms (PHI)C/LW72357802926243138.33%515722.541013140000170052.13%21100000.6300000000
6Nicolas Aube-KubelPhantoms (PHI)C/RW7314395117111927.27%210014.3600000000000050.00%800000.8000001100
7Samuel BolducPhantoms (PHI)D7044110020711660.00%317825.52000514011022000.00%000000.4500000000
8Adam GaudettePhantoms (PHI)C7314100481791117.65%18912.8000000000001054.05%11100000.8900000101
9Joona KoppanenPhantoms (PHI)C/LW7224-2401318164612.50%112517.86112412000001052.94%15300000.6400000000
10Dylan McIlrathPhantoms (PHI)D703321752245120.00%1114821.27000012000020000.00%000000.4000100000
11Samuel KnazkoPhantoms (PHI)D7033100643200.00%1011516.440000000009000.00%000000.5200000000
12Kaedan KorczakPhantoms (PHI)D712334017693911.11%1015221.85000312000021000.00%000000.3900000000
13Wade AllisonPhantoms (PHI)RW7123140186156166.67%210815.47000060001100034.78%2300000.5500000000
14Gerry MayhewPhantoms (PHI)C/RW7022-1601333030.00%1111716.7200000000040023.53%1700000.3400000000
15Oskar SteenPhantoms (PHI)C/LW/RW71121403921284.76%09012.8600000000000060.00%500000.4400000010
16Lukas ReichelPhantoms (PHI)LW/RW32021001894522.22%15317.7200036000060135.29%1700000.7500000010
17Danil GushchinPhantoms (PHI)LW7000-200046310.00%0344.9300000000010033.33%300000.0000000000
18Jack StudnickaPhantoms (PHI)C7000000100010.00%050.7400000000000066.67%300000.0000000000
19Rourke ChartierPhantoms (PHI)C7000-100142160.00%0355.1300000000000042.86%2100000.0000000000
Statistiques d’équipe totales ou en moyenne1292442661970101941482196814510.96%73214616.6448123113412332043149.84%62600000.6100101333
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
1Matthew VillaltaPhantoms (PHI)73310.9113.4140520232590000.000070001
2Dylan GarandPhantoms (PHI)10001.0000.0034000260000.000007000
Statistiques d’équipe totales ou en moyenne83310.9193.1443920232850000.000077001


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)C2710/3/1996No175 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Adam WilsbyPhantoms (PHI)D238/7/2000Yes188 Lbs6 ft1NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Albert JohanssonPhantoms (PHI)D221/4/2001Yes168 Lbs6 ft0NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Axel Jonsson-FjallbyPhantoms (PHI)LW/RW252/10/1998Yes189 Lbs6 ft1NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Brad MalonePhantoms (PHI)C/LW345/20/1989No217 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Cameron HillisPhantoms (PHI)C236/24/2000Yes175 Lbs5 ft9NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Daniil ZhuravlyovPhantoms (PHI)D234/8/2000Yes163 Lbs6 ft0NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Danil GushchinPhantoms (PHI)LW212/6/2002Yes165 Lbs5 ft8NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Dylan GarandPhantoms (PHI)G216/7/2002Yes173 Lbs6 ft0NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Dylan McIlrathPhantoms (PHI)D314/20/1992No232 Lbs6 ft5NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Filip LindbergPhantoms (PHI)G241/31/1999No180 Lbs6 ft0NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Gerry MayhewPhantoms (PHI)C/RW3112/31/1992No161 Lbs5 ft9NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Jack QuinnPhantoms (PHI)LW/RW229/19/2001Yes185 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No1,329,000$Lien / Lien NHL
Jack StudnickaPhantoms (PHI)C242/18/1999Yes187 Lbs6 ft1NoNoNo2Pro & Farm789,000$925,000$0$0$No789,000$Lien / Lien NHL
Jake BischoffPhantoms (PHI)D297/25/1994Yes188 Lbs6 ft1NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Jamieson ReesPhantoms (PHI)C222/26/2001Yes172 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$0$0$No800,000$800,000$Lien / Lien NHL
Joona KoppanenPhantoms (PHI)C/LW252/25/1998No216 Lbs6 ft5NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Kaedan KorczakPhantoms (PHI)D221/29/2001Yes202 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No890,000$Lien / Lien NHL
Karl HenrikssonPhantoms (PHI)C222/5/2001Yes179 Lbs5 ft9NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Kristian ReichelPhantoms (PHI)C/RW256/11/1998Yes192 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Lukas ReichelPhantoms (PHI)LW/RW215/17/2002Yes170 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Matthew VillaltaPhantoms (PHI)G246/3/1999Yes165 Lbs6 ft3NoNoNo3Pro & Farm775,000$850,000$0$0$No775,000$775,000$Lien / Lien NHL
Max GildonPhantoms (PHI)D245/17/1999Yes194 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Nathan WalkerPhantoms (PHI)LW292/7/1994No187 Lbs5 ft9NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Nicolas Aube-KubelPhantoms (PHI)C/RW275/10/1996Yes207 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Oskar SteenPhantoms (PHI)C/LW/RW253/9/1998Yes193 Lbs5 ft10NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Rourke ChartierPhantoms (PHI)C274/3/1996Yes190 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Samuel BolducPhantoms (PHI)D2312/9/2000Yes220 Lbs6 ft4NoNoNo3Pro & Farm925,000$925,000$0$0$No892,000$892,000$Lien / Lien NHL
Samuel KnazkoPhantoms (PHI)D218/7/2002Yes198 Lbs6 ft1NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Travis DermottPhantoms (PHI)D2712/22/1996No202 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Wade AllisonPhantoms (PHI)RW2610/14/1997Yes205 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
William LockwoodPhantoms (PHI)RW256/20/1998Yes172 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Wyatte WyliePhantoms (PHI)D2411/2/1999Yes190 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3324.82188 Lbs6 ft02.09900,424$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas ReichelBrad MaloneJack Quinn40122
2Nathan WalkerJoona KoppanenAxel Jonsson-Fjallby30122
3Danil GushchinNicolas Aube-KubelWade Allison20122
4Oskar SteenAdam GaudetteGerry Mayhew10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel BolducTravis Dermott40122
2Dylan McIlrathKaedan Korczak30122
3Samuel KnazkoAdam Gaudette20122
4Samuel BolducTravis Dermott10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas ReichelBrad MaloneJack Quinn60122
2Nathan WalkerJoona KoppanenAxel Jonsson-Fjallby40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel BolducTravis Dermott60122
2Dylan McIlrathKaedan Korczak40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lukas ReichelNathan Walker60122
2Jack QuinnAxel Jonsson-Fjallby40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel BolducTravis Dermott60122
2Dylan McIlrathKaedan Korczak40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lukas Reichel60122Samuel BolducTravis Dermott60122
2Nathan Walker40122Dylan McIlrathKaedan Korczak40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lukas ReichelNathan Walker60122
2Jack QuinnAxel Jonsson-Fjallby40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Samuel BolducTravis Dermott60122
2Dylan McIlrathKaedan Korczak40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas ReichelBrad MaloneJack QuinnSamuel BolducTravis Dermott
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas ReichelBrad MaloneJack QuinnSamuel BolducTravis Dermott
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
William Lockwood, Rourke Chartier, Wade AllisonWilliam Lockwood, Rourke ChartierWade Allison
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Knazko, Dylan McIlrath, Kaedan KorczakSamuel KnazkoDylan McIlrath, Kaedan Korczak
Tirs de pénalité
Lukas Reichel, Nathan Walker, Jack Quinn, Axel Jonsson-Fjallby, Wade Allison
Gardien
#1 : Matthew Villalta, #2 : Dylan Garand
Lignes d’attaque personnalisées en prolongation
Lukas Reichel, Nathan Walker, Jack Quinn, Axel Jonsson-Fjallby, Wade Allison, Brad Malone, Brad Malone, Joona Koppanen, Nicolas Aube-Kubel, Adam Gaudette, Gerry Mayhew
Lignes de défense personnalisées en prolongation
Samuel Bolduc, Travis Dermott, Dylan McIlrath, Kaedan Korczak, Samuel Knazko


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
1Crunch73400000242313120000089-1422000001614260.4292442660099602196793572285737219418422.22%31777.42%110823845.38%13627449.64%6811459.65%166109177539647
Total73400000242313120000089-1422000001614260.4292442660099602196793572285737219418422.22%31777.42%110823845.38%13627449.64%6811459.65%166109177539647
_Since Last GM Reset73400000242313120000089-1422000001614260.4292442660099602196793572285737219418422.22%31777.42%110823845.38%13627449.64%6811459.65%166109177539647
_Vs Conference73400000242313120000089-1422000001614260.4292442660099602196793572285737219418422.22%31777.42%110823845.38%13627449.64%6811459.65%166109177539647

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L1244266219285737219400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002423
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
312000089
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
42200001614
Derniers 10 matchs
WLOTWOTL SOWSOL
330100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18422.22%31777.42%1
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
67935729960
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
10823845.38%13627449.64%6811459.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
166109177539647


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 - 2024-04-183Phantoms6Crunch2AWSommaire du match
3 - 2024-04-2011Phantoms3Crunch4ALSommaire du match
5 - 2024-04-2219Crunch3Phantoms1BLSommaire du match
7 - 2024-04-2427Crunch2Phantoms4BWSommaire du match
9 - 2024-04-2635Phantoms5Crunch2AWSommaire du match
11 - 2024-04-2843Crunch4Phantoms3BLXSommaire du match
13 - 2024-04-3051Phantoms2Crunch6ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance6,0003,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 3000 - 100.00% 81,250$243,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,971,400$ 2,672,500$ 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
1Wade Allison24611715026779141519436101311.55%76438417.821720371221231020648.76%31.2224
2Nathan Walker2311101462568211042946996811.36%70432618.731324371141121110851.26%51.1804
3Jack Quinn245112139251302010747395311.75%56430017.552525501471121118550.68%51.1712
4Gerald Mayhew234102125227516222439591111.20%90414817.73213152191011814249.83%21.0902
5Brad Malone162651171824011459051756111.59%62345921.356263286112124357.93%01.0503

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
1Pheonix Copley1136328110.9003.43617214235335250110.77322
2Matthew Villalta74462010.8993.57412321124524260010.5004
3Daniil Tarasov3020400.8973.32152000848190100.0000
4Dylan Garand2681300.8704.93115720957310010.0000
5Matt Villalta91400.9143.2129900161860010.0000

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
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
Total Saison régulière24613078020103511069241821236238010535553471821236840010500553453100321110619923098434193692952610155337733473344114875425241861627778618823.92%80817778.09%85475985055.58%4550881951.59%2369432454.79%618544075604171430751558
Séries éliminatoires
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 éliminatoires1248000004446-2624000002223-1624000002223-1844781220018161004271311671272453109102328391128.21%461273.91%119643045.58%22645050.22%11320654.85%2901962929016079

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
1Travis Dermott1211415-241719323.13%1631125.98156100111000.00%00.9600
2Brad Malone12771412844545313.21%828523.77303900000055.03%00.9800
3Axel Jonsson-Fjallby126511-1027103417.65%323119.33235800001041.94%00.9500
4Gerry Mayhew122810362316326.25%1123719.79011600000033.33%00.8400
5Nicolas Aube-Kubel12448-31329183013.33%219716.46134600000044.06%00.8100

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
1Matthew Villalta73310.9113.4140520232590000.0000
2Pheonix Copley51110.8574.2121400151050000.0000
3Dylan Garand10001.0000.0034000260000.0000