Connexion

Phantoms
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Yannick Bernier | Morale : 50 | Moyenne d’équipe : N/A
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralYannick Bernier
EntraîneurDominique Ducharme
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure9
Limite contact 33 / 60
Espoirs21


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
1John Leonard (R)0XX100.007343997266597863445758642550506350002321,137,500$
2Quinton Byfield (R)0X100.006543858281637062696169637548486550001923,544,167$
3Alex Limoges0X100.00797492587461616278546566624444645000242867,000$
4Cole Bardreau0X100.00766895636856566075526267595555635000281700,000$
5Lane Pederson0XX100.00844589717057676052575564254848615000241690,000$
6Evan Barratt (R)0XX100.00696870646861635670505860554444595000231925,000$
7Gemel Smith0XXX100.00767482727450486176536267595656635000282700,000$
8Givani Smith0XX100.00849942718151695644575961255555605000243750,000$
9Logan O'Connor0X100.00775686776467775932655985255859685000253725,000$
10Nathan Bastian0X100.00947175747962827343587069255858705000241905,000$
11Taro Hirose0XX100.00674191695957807244655865255050645000252850,000$
12Jack Studnicka0XX100.00764391806563695876655568254747645000231863,333$
13Stelio Mattheos (R)0XX100.00747279647253554961474560434444535000232925,000$
14Zachary Jones (R)0X100.00614099706266636125524773754646595000211925,000$
15Jordan Harris (R)0X100.007543776764694160253950702544445850002141,137,500$
16Thomas Harley (R)0X100.007343937873637561254848632547475950002021,288,333$
17Mark Friedman0X100.00756675736862515925514875254747605000262775,000$
18Layton Ahac (R)0X100.00767091617047484725393961374444505000212925,000$
19David Farrance (R)0X100.007467907967495049254339603744445350002221,350,000$
20Simon Lundmark (R)0X100.00807591707551524725384163394444535000213925,000$
Rayé
MOYENNE D’ÉQUIPE100.0075608571705863594753546640494960500
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
1Jiri Patera (R)100.0055425380605853595958304444565000233800,000$
2Dustin Wolf (R)100.0061415160676162676564304444615000213825,000$
3Joseph Woll (R)100.0054475983575550575453304444535000231800,000$
4Dylan Ferguson (R)100.0052405072575651575857304444545000232733,333$
Rayé
MOYENNE D’ÉQUIPE100.005643537460585460595830444456500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme72757266726778CAN491850,000$


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
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


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
Alex LimogesPhantoms (PHI)C241997-09-16No201 Lbs6 ft1NoNoNo2Pro & Farm867,000$867,000$867,000$867,000$0$0$No867,000$Lien
Cole BardreauPhantoms (PHI)C281993-07-22No190 Lbs5 ft10NoNoNo1Pro & Farm700,000$700,000$700,000$700,000$0$0$NoLien
David FarrancePhantoms (PHI)D221999-06-23Yes189 Lbs5 ft11NoNoNo2Pro & Farm1,350,000$1,350,000$1,350,000$1,350,000$0$0$No1,350,000$
Dustin WolfPhantoms (PHI)G212001-04-16Yes168 Lbs6 ft0NoNoNo3Pro & Farm825,000$825,000$825,000$825,000$0$0$No825,000$825,000$Lien
Dylan FergusonPhantoms (PHI)G231998-09-19Yes183 Lbs6 ft2NoNoNo2Pro & Farm733,333$733,333$733,333$733,333$0$0$No733,333$Lien
Evan BarrattPhantoms (PHI)C/LW231999-02-18Yes188 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Gemel Smith (contrat à 1 volet)Phantoms (PHI)C/LW/RW281994-04-16No203 Lbs5 ft10NoNoNo2Pro & Farm700,000$700,000$700,000$700,000$0$0$No700,000$Lien
Givani SmithPhantoms (PHI)LW/RW241998-02-27No210 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Jack StudnickaPhantoms (PHI)C/RW231999-02-18No171 Lbs6 ft1NoNoNo1Pro & Farm863,333$863,333$863,333$863,333$0$0$NoLien
Jiri PateraPhantoms (PHI)G231999-02-24Yes209 Lbs6 ft2NoNoNo3Pro & Farm800,000$800,000$800,000$800,000$0$0$No800,000$800,000$Lien
John LeonardPhantoms (PHI)LW/RW231998-08-07Yes183 Lbs5 ft11NoNoNo2Pro & Farm1,137,500$1,137,500$1,137,500$1,137,500$0$0$No1,137,500$Lien
Jordan HarrisPhantoms (PHI)D212000-07-07Yes179 Lbs5 ft11NoNoNo4Pro & Farm1,137,500$1,137,500$1,137,500$1,137,500$0$0$No1,137,500$1,137,500$1,137,500$
Joseph WollPhantoms (PHI)G231998-07-12Yes203 Lbs6 ft4NoNoNo1Pro & Farm800,000$800,000$800,000$800,000$0$0$NoLien
Lane PedersonPhantoms (PHI)C/RW241997-08-04No190 Lbs6 ft0NoNoNo1Pro & Farm690,000$690,000$690,000$690,000$0$0$NoLien
Layton AhacPhantoms (PHI)D212001-02-22Yes187 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien
Logan O'ConnorPhantoms (PHI)RW251996-08-14No174 Lbs6 ft0NoNoNo3Pro & Farm725,000$725,000$725,000$725,000$0$0$No725,000$725,000$Lien
Mark FriedmanPhantoms (PHI)D261995-12-25No185 Lbs5 ft11NoNoNo2Pro & Farm775,000$775,000$775,000$775,000$0$0$No775,000$Lien
Nathan BastianPhantoms (PHI)RW241997-12-06No205 Lbs6 ft4NoNoNo1Pro & Farm905,000$905,000$905,000$905,000$0$0$NoLien
Quinton ByfieldPhantoms (PHI)C192002-08-19Yes215 Lbs6 ft4NoNoNo2Pro & Farm3,544,167$3,544,167$3,544,167$3,544,167$0$0$No3,544,167$Lien
Simon LundmarkPhantoms (PHI)D212000-10-08Yes201 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Stelio MattheosPhantoms (PHI)C/RW231999-06-14Yes196 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien
Taro HirosePhantoms (PHI)LW/RW251996-06-30No162 Lbs5 ft10NoNoNo2Pro & Farm850,000$850,000$850,000$850,000$0$0$No850,000$Lien
Thomas HarleyPhantoms (PHI)D202001-08-18Yes190 Lbs6 ft3NoNoNo2Pro & Farm1,288,333$1,288,333$1,288,333$1,288,333$0$0$No1,288,333$Lien
Zachary JonesPhantoms (PHI)D212000-10-18Yes172 Lbs5 ft10NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2423.13190 Lbs6 ft12.001,002,757$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan Bastian35122
2John LeonardQuinton ByfieldJack Studnicka30122
325122
4Lane Pederson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas Harley35122
230122
3Layton Ahac25122
4Thomas Harley10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan Bastian60122
2John LeonardQuinton ByfieldJack Studnicka40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas Harley60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Quinton ByfieldNathan Bastian40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas Harley60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Thomas Harley60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Quinton ByfieldNathan Bastian40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Thomas Harley60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan BastianThomas Harley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan BastianThomas Harley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Evan Barratt, , Evan Barratt,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Layton Ahac, Layton Ahac,
Tirs de pénalité
, , Quinton Byfield, Nathan Bastian, John Leonard
Gardien
#1 : Dylan Ferguson, #2 : Joseph Woll
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,336,616$ 2,336,616$ 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

Phantoms Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Phantoms Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Phantoms Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Phantoms Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA