Phantoms
GP: 5 | W: 1 | L: 4
GF: 20 | GA: 23 | PP%: 33.33% | PK%: 66.67%
DG: Samuel Bessette | Morale : 75 | Moyenne d’équipe : 63
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Phantoms
1-4-0, 2pts
3
FINAL
5 Checkers
8-7-0, 16pts
Team Stats
L2StreakL1
1-2-0Home Record5-2-0
0-2-0Away Record3-5-0
1-3-1Last 10 Games4-4-2
4.00Buts par match 4.20
4.60Buts contre par match 4.33
33.33%Pourcentage en avantage numérique18.87%
66.67%Pourcentage en désavantage numérique70.37%
Checkers
8-7-0, 16pts
5
FINAL
3 Phantoms
1-4-0, 2pts
Team Stats
L1StreakL2
5-2-0Home Record1-2-0
3-5-0Away Record0-2-0
4-4-2Last 10 Games1-3-1
4.20Buts par match 4.00
4.33Buts contre par match 4.60
18.87%Pourcentage en avantage numérique33.33%
70.37%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Pheonix CopleyVictoires
Pheonix Copley
1
Pheonix CopleyPourcentage d’arrêts
Pheonix Copley
0.857

Statistiques d’équipe
Buts pour
20
4.00 GFG
Tirs pour
208
41.60 Avg
Pourcentage en avantage numérique
33.3%
7 GF
Début de zone offensive
41.7%
Buts contre
23
4.60 GAA
Tirs contre
168
33.60 Avg
Pourcentage en désavantage numérique
66.7%
5 GA
Début de la zone défensive
38.3%
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 Pro34
Équipe Mineure20
Limite contact 54 / 80
Espoirs69


Historique d'équipe

Saison actuelle1-4
Historique103-47-20 (0.606%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)1-4
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
1Gerry Mayhew0XX100.00703784676385836572637264687172075660302925,000$
2Brad Malone0XX100.00824286628483806375646566627478075660333950,000$
3Nicolas Aube-Kubel (R)0XX100.00834376667179836657656457656768075650262750,000$
4Wade Allison (R)0X100.00783882638185726561646759636567075650252925,000$
5Lukas Reichel (R)0XX100.00613692707082896865676465696162075650203950,000$
6Axel Jonsson-Fjallby (R)0XX100.00643791667583876258616362676566075640241925,000$
7Jack Studnicka (R)0X100.00653189637888816676686066636467075640233925,000$
8Adam Gaudette0X100.00603791647278856677646359666769075640262750,000$
9Rourke Chartier (R)0X100.00623693657291676468636063646668075630262925,000$
10William Lockwood (R)0X100.00823876606779815863596063596466075620242925,000$
11Brandon Baddock0X100.00858076568772815754585960566769075620273760,000$
12Travis Dermott0X100.00633887727684886830675864506769075650262750,000$
13Cameron Schilling0X100.00724570608173675930675763487476075630343800,000$
14Dylan McIlrath0X100.00878264579668915630555461457072075620303800,000$
15Doyle Somerby0X100.00887276569765815530575362456870075620283800,000$
Rayé
1Nathan Walker0X100.00763891697084836759657264696870075670283750,000$
2Jack Quinn (R)0XX100.00593784717189716972687162726163075660212925,000$
3Kristian Reichel (R)0XX100.00623780576883735867596063596466075610242925,000$
4Jamieson Rees (R)0X100.00583776606778875966585755596163075600212925,000$
5Cameron Hillis (R)0X100.00553686576473665875596056576364075590222925,000$
6Dillon Hamaliuk (R)0X100.00723974548167725551565758536264075590223950,000$
7Kyle Topping (R)0X100.00563471596973755761615557596365075590233950,000$
8Kyle Burroughs0X100.00904772627384756030685569496667075640271800,000$
9Kaedan Korczak (R)0X100.00673382608479715930585666506163075610212925,000$
10Samuel Bolduc (R)0X100.00773982558968835530585660476264075610222925,000$
11Chris Bigras0X100.00673987597666715830575655466769075600273800,000$
12Max Gildon (R)0X100.00734087578269685630605457466365075600232925,000$
13Wyatte Wylie (R)0X100.00633887597269875630585556456365075600232925,000$
14Dawson Barteaux (R)0X100.00653892547462665630545355456264075580222925,000$
MOYENNE D’ÉQUIPE100.0070428261767778615261606157656707563
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
1Pheonix Copley100.0077747586747475747475747084075660302950,000$
Rayé
1Daniil Tarasov (R)100.0076727092747475747475746369075660232925,000$
2Matthew Villalta (R)100.0072777876707071707071706369075630234850,000$
3Filip Lindberg100.0069666772676768676768676369075610233999,999$
4Rasmus Korhonen100.0066686688646465646465646063075600203999,999$
MOYENNE D’ÉQUIPE100.007271718370707170707170647107563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Craig64747369605686CAN401500,000$


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
1Brad MalonePhantoms (PHI)C/LW5549500152829111817.24%312725.482026170000140059.18%14700001.4100000101
2Gerry MayhewPhantoms (PHI)C/RW52684001013297236.90%012024.090116170000140050.00%1000001.3300000010
3Axel Jonsson-FjallbyPhantoms (PHI)LW/RW5336-800241581420.00%08817.8022449000010041.67%1200001.3500000000
4Travis DermottPhantoms (PHI)D5066-32091117170.00%712825.79022617000013000.00%000000.9300000000
5Lukas ReichelPhantoms (PHI)LW/RW53251000111781817.65%09919.87112414000090040.00%2000001.0100000000
6Nicolas Aube-KubelPhantoms (PHI)C/RW5134-640181119595.26%09619.40134613000000043.70%13500000.8200000000
7Cameron SchillingPhantoms (PHI)D512302010382412.50%511523.05000314000011000.00%000000.5200000001
8Wade AllisonPhantoms (PHI)RW5213-6601272081410.00%110120.311121013000030033.33%300000.5900000000
9Jack StudnickaPhantoms (PHI)C5112-2004883212.50%37915.8500000000001041.30%4600000.5000000000
10Rourke ChartierPhantoms (PHI)C5022140522140.00%1469.38000000000000100.00%100000.8500000000
11William LockwoodPhantoms (PHI)RW5022-42063113100.00%06613.350000000000000.00%200000.6000000000
12Brandon BaddockPhantoms (PHI)LW5202-10012441350.00%05110.270000100003010.00%100000.7800000000
13Doyle SomerbyPhantoms (PHI)D5022-1801203220.00%710020.1502211300007000.00%000000.4000000000
14Dylan McIlrathPhantoms (PHI)D5011-5001625140.00%78917.8000001000009000.00%000000.2200000000
15Adam GaudettePhantoms (PHI)C5011-30001519170.00%17314.7700001000000050.00%7400000.2700000000
Statistiques d’équipe totales ou en moyenne75203656-28280131122206621399.71%35138618.4971219461460000901149.22%45100000.8100000112
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
1Pheonix CopleyPhantoms (PHI)51110.8574.2121400151050000.000052000
Statistiques d’équipe totales ou en moyenne51110.8574.2121400151050000.000052000


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)C2610/3/1996No175 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Axel Jonsson-FjallbyPhantoms (PHI)LW/RW242/10/1998Yes189 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Brad MalonePhantoms (PHI)C/LW335/20/1989No217 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Brandon BaddockPhantoms (PHI)LW273/29/1995No218 Lbs6 ft3NoNoNo3Pro & Farm760,000$760,000$0$0$No760,000$760,000$Lien / Lien NHL
Cameron HillisPhantoms (PHI)C226/24/2000Yes175 Lbs5 ft9NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Cameron SchillingPhantoms (PHI)D3410/7/1988No190 Lbs6 ft3NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien / Lien NHL
Chris BigrasPhantoms (PHI)D272/22/1995No191 Lbs6 ft1NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien / Lien NHL
Daniil TarasovPhantoms (PHI)G235/27/1999Yes196 Lbs6 ft6NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Dawson BarteauxPhantoms (PHI)D221/12/2000Yes185 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Dillon HamaliukPhantoms (PHI)LW2210/30/2000Yes190 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Doyle SomerbyPhantoms (PHI)D287/4/1994No221 Lbs6 ft6NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien / Lien NHL
Dylan McIlrathPhantoms (PHI)D304/20/1992No231 Lbs6 ft5NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien / Lien NHL
Filip LindbergPhantoms (PHI)G231/31/1999No180 Lbs6 ft0NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien
Gerry MayhewPhantoms (PHI)C/RW3012/31/1992No161 Lbs5 ft9NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Jack QuinnPhantoms (PHI)LW/RW219/19/2001Yes185 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Jack StudnickaPhantoms (PHI)C232/18/1999Yes186 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$0$0$No789,000$789,000$Lien / Lien NHL
Jamieson ReesPhantoms (PHI)C212/26/2001Yes172 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Kaedan KorczakPhantoms (PHI)D211/29/2001Yes202 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Kristian ReichelPhantoms (PHI)C/RW246/11/1998Yes168 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Kyle BurroughsPhantoms (PHI)D277/12/1995No193 Lbs6 ft0NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Kyle ToppingPhantoms (PHI)C2311/18/1999Yes185 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Lukas ReichelPhantoms (PHI)LW/RW205/17/2002Yes170 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Matthew VillaltaPhantoms (PHI)G236/3/1999Yes165 Lbs6 ft3NoNoNo4Pro & Farm850,000$850,000$0$0$No775,000$775,000$775,000$Lien
Max GildonPhantoms (PHI)D235/17/1999Yes194 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Nathan WalkerPhantoms (PHI)LW282/7/1994No187 Lbs5 ft9NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Nicolas Aube-KubelPhantoms (PHI)C/RW265/10/1996Yes187 Lbs5 ft11NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Pheonix CopleyPhantoms (PHI)G301/18/1992No200 Lbs6 ft4NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Rasmus KorhonenPhantoms (PHI)G2010/22/2002No194 Lbs6 ft5NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien
Rourke ChartierPhantoms (PHI)C264/3/1996Yes190 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Samuel BolducPhantoms (PHI)D2212/9/2000Yes213 Lbs6 ft4NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Travis DermottPhantoms (PHI)D2612/22/1996No202 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Wade AllisonPhantoms (PHI)RW2510/14/1997Yes205 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
William LockwoodPhantoms (PHI)RW246/20/1998Yes172 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Wyatte WyliePhantoms (PHI)D2311/2/1999Yes190 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3424.91191 Lbs6 ft12.38887,059$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas ReichelBrad MaloneGerry Mayhew35122
2Axel Jonsson-FjallbyNicolas Aube-KubelWade Allison30122
3Brandon BaddockAdam GaudetteWilliam Lockwood20122
4Brad MaloneJack StudnickaGerry Mayhew15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottCameron Schilling40122
2Doyle SomerbyDylan McIlrath30122
3Jack StudnickaRourke Chartier20122
4Travis DermottCameron Schilling10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas ReichelBrad MaloneGerry Mayhew60122
2Axel Jonsson-FjallbyNicolas Aube-KubelWade Allison40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottCameron Schilling60122
2Doyle SomerbyDylan McIlrath40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brad MaloneGerry Mayhew60122
2Lukas ReichelWade Allison40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottCameron Schilling60122
2Doyle SomerbyDylan McIlrath40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brad Malone60122Travis DermottCameron Schilling60122
2Gerry Mayhew40122Doyle SomerbyDylan McIlrath40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brad MaloneGerry Mayhew60122
2Lukas ReichelWade Allison40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Travis DermottCameron Schilling60122
2Doyle SomerbyDylan McIlrath40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas ReichelBrad MaloneGerry MayhewTravis DermottCameron Schilling
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas ReichelBrad MaloneGerry MayhewTravis DermottCameron Schilling
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Gaudette, Rourke Chartier, Brandon BaddockAdam Gaudette, Rourke ChartierBrandon Baddock
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Doyle Somerby, Dylan McIlrath, Travis DermottDoyle SomerbyDylan McIlrath, Travis Dermott
Tirs de pénalité
Brad Malone, Gerry Mayhew, Lukas Reichel, Wade Allison, Nicolas Aube-Kubel
Gardien
#1 : Pheonix Copley, #2 :
Lignes d’attaque personnalisées en prolongation
Brad Malone, Gerry Mayhew, Lukas Reichel, Wade Allison, Nicolas Aube-Kubel, Adam Gaudette, Adam Gaudette, Jack Studnicka, Axel Jonsson-Fjallby, Rourke Chartier, Brandon Baddock
Lignes de défense personnalisées en prolongation
Travis Dermott, Cameron Schilling, Doyle Somerby, Dylan McIlrath,


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
1Checkers514000002023-331200000141402020000069-320.2002036560097402086474700168363013421733.33%15566.67%08819245.83%9017651.14%459248.91%12387114376431
Total514000002023-331200000141402020000069-320.2002036560097402086474700168363013421733.33%15566.67%08819245.83%9017651.14%459248.91%12387114376431
_Since Last GM Reset514000002023-331200000141402020000069-320.2002036560097402086474700168363013421733.33%15566.67%08819245.83%9017651.14%459248.91%12387114376431
_Vs Conference514000002023-331200000141402020000069-320.2002036560097402086474700168363013421733.33%15566.67%08819245.83%9017651.14%459248.91%12387114376431

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L2203656208168363013400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400002023
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001414
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000069
Derniers 10 matchs
WLOTWOTL SOWSOL
130100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
21733.33%15566.67%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
64747009740
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
8819245.83%9017651.14%459248.91%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12387114376431


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 - 2023-04-131Checkers2Phantoms7BWSommaire du match
3 - 2023-04-159Checkers7Phantoms4BLSommaire du match
5 - 2023-04-1717Phantoms3Checkers4ALXSommaire du match
7 - 2023-04-1925Phantoms3Checkers5ALSommaire du match
9 - 2023-04-2133Checkers5Phantoms3BLSommaire 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$ 3,016,000$ 3,016,000$ 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 Allison164811051865010235328972011.25%49330920.18172037122123616650.00%21.1224
2Gerald Mayhew1568393176364816829974211.19%52317220.34212445159011711249.86%21.1102
3Nathan Walker1498095175707829930164312.44%42281018.861014245811277450.63%51.2503
4Jack Quinn163778316029189727359912.85%35262216.0921133494101812455.65%41.2201
5Nicolas Aube-Kubel1294679125188644525342810.75%22238018.46713207500025348.16%01.0502

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
2Daniil Tarasov3020400.8973.32152000848190100.0000
3Matthew Villalta95300.9143.2947400263020000.0000
4Matt 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
Total Saison régulière164864701592574259914382432106525369291788243260940037330865220742134620882228323920318670222192195221893582516811254424852313826.39%54511778.53%73584653054.89%2941582550.49%1525286753.19%414529513741113920421036
2022514000002023-331200000141402020000069-322036560097402086474700168363013421733.33%15566.67%08819245.83%9017651.14%459248.91%12387114376431
Total Séries éliminatoires514000002023-331200000141402020000069-322036560097402086474700168363013421733.33%15566.67%08819245.83%9017651.14%459248.91%12387114376431

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
1Brad Malone55495015282917.24%312725.48202600000059.18%01.4100
2Gerry Mayhew5268401013296.90%012024.09011600000050.00%01.3300
3Axel Jonsson-Fjallby5336-80241520.00%08817.80224400000041.67%01.3500
4Travis Dermott5066-32911170.00%712825.7902260000000.00%00.9300
5Lukas Reichel5325100111717.65%09919.87112400000040.00%01.0100

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 Copley51110.8574.2121400151050000.0000