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Phantoms
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Mark S | Morale : 50 | Moyenne d’équipe : 59
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMark S
EntraîneurTim Army
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro16
Équipe Mineure21
Limite contact 37 / 50
Espoirs46


Historique d'équipe

Saison actuelle0-0
Historique46-22-3 (0.648%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


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
1Trey Fix-Wolansky (R)X100.0069648168647880715068706467454570506502531,000,000$
2Nolan StevensX100.007570886570585762785961645844446350600272775,000$
3Cole Reinhardt (R)X100.007174636374798460505956625344446150600242813,333$
4Nick Swaney (R)X100.007163906763697261505364626144446450600263775,000$
5Carson Meyer (R)X100.008444876466557562255755672545456250590262750,000$
6Tyler Angle (R)X100.007062876362798654684856605344446050580232850,833$
7Bryce Kindopp (R)X100.007771926471758346504146614444445550550242775,000$
8Greg MeirelesX100.007265876865535451644751604844445550550253775,000$
9Cole Coskey (R)X100.007670896170474749504944614244445350530251750,000$
10Maxence Guenette (R)X100.007974896674717654255241643944445650610233813,333$
11Artemi Knyazev (R)X100.007367866767727852254941613944445550590232905,000$
12Brayden Pachal (R)X100.006873566673768348254041573945455150580243825,000$
13Zackary Hayes (R)X100.008080806480626646253641633944445350580251775,000$
14Matthew Kessel (R)X100.007576746476596152254941623944445450580233925,000$
15Cameron GaunceX100.007171706771555847253740613856565050570341750,000$
Rayé
1Tim Berni (R)X100.008544836364719162254247762550506050640243925,000$
MOYENNE D’ÉQUIPE100.00756781656966725541495063444545585059
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
Rayé
MOYENNE D’ÉQUIPE0.000000000000000000
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tim Army74677061888361USA571725,000$


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 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
Artemi KnyazevPhantoms (PHL)D232001-01-04Yes181 Lbs6 ft0NoNoNo2Pro & Farm905,000$0$0$No905,000$Lien
Brayden PachalPhantoms (PHL)D241999-08-23Yes200 Lbs6 ft0NoNoNo3Pro & Farm825,000$0$0$No825,000$825,000$Lien / Lien NHL
Bryce KindoppPhantoms (PHL)RW241999-06-14Yes191 Lbs6 ft1NoNoNo2Pro & Farm775,000$0$0$No775,000$Lien
Cameron GauncePhantoms (PHL)D341990-03-19No194 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Carson MeyerPhantoms (PHL)RW261997-08-18Yes180 Lbs5 ft11NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Cole CoskeyPhantoms (PHL)RW251999-06-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien
Cole ReinhardtPhantoms (PHL)LW242000-02-01Yes203 Lbs6 ft1NoNoNo2Pro & Farm813,333$0$0$No813,333$Lien
Greg MeirelesPhantoms (PHL)C251999-01-01No181 Lbs5 ft10NoNoNo3Pro & Farm775,000$0$0$No775,000$775,000$Lien
Matthew KesselPhantoms (PHL)D232000-06-23Yes205 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Maxence GuenettePhantoms (PHL)D232001-04-28Yes196 Lbs6 ft3NoNoNo3Pro & Farm813,333$0$0$No813,333$813,333$Lien
Nick SwaneyPhantoms (PHL)RW261997-09-09Yes175 Lbs5 ft10NoNoNo3Pro & Farm775,000$0$0$No775,000$775,000$Lien
Nolan StevensPhantoms (PHL)C271996-07-22No183 Lbs6 ft3NoNoNo2Pro & Farm775,000$0$0$No775,000$Lien / Lien NHL
Tim BerniPhantoms (PHL)D242000-02-11Yes175 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Trey Fix-WolanskyPhantoms (PHL)RW251999-05-26Yes185 Lbs5 ft8NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Tyler AnglePhantoms (PHL)C232000-09-30Yes172 Lbs5 ft10NoNoNo2Pro & Farm850,833$0$0$No850,833$Lien
Zackary HayesPhantoms (PHL)D251999-04-24Yes218 Lbs6 ft3NoNoNo1Pro & Farm775,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1625.06189 Lbs6 ft02.25823,906$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Trey Fix-Wolansky40122
2Cole ReinhardtTyler AngleNick Swaney30122
3Bryce KindoppGreg MeirelesCarson Meyer20122
4Trey Fix-WolanskyBryce Kindopp10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Artemi KnyazevMatthew Kessel30122
3Zackary HayesBrayden Pachal20122
4Cameron Gaunce10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Trey Fix-Wolansky60122
2Cole ReinhardtTyler AngleNick Swaney40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Artemi KnyazevMatthew Kessel40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Trey Fix-Wolansky60122
2Nick SwaneyCole Reinhardt40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Artemi KnyazevMatthew Kessel40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
2Trey Fix-Wolansky40122Artemi KnyazevMatthew Kessel40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Trey Fix-Wolansky60122
2Nick SwaneyCole Reinhardt40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Artemi KnyazevMatthew Kessel40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trey Fix-Wolansky
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trey Fix-Wolansky
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cole Coskey, Carson Meyer, Greg MeirelesCole Coskey, Carson MeyerGreg Meireles
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zackary Hayes, Brayden Pachal, Cameron GaunceZackary HayesBrayden Pachal, Cameron Gaunce
Tirs de pénalité
, Trey Fix-Wolansky, Nick Swaney, Cole Reinhardt,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, Trey Fix-Wolansky, Nick Swaney, Cole Reinhardt, , Carson Meyer, Carson Meyer, Tyler Angle, Greg Meireles, Bryce Kindopp, Cole Coskey
Lignes de défense personnalisées en prolongation
, , Artemi Knyazev, Matthew Kessel, Zackary Hayes


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 billets200
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
36 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,318,249$ 1,318,249$ 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
1Trey Fix-Wolansky729756153946213714147620.38%54167023.21121224554042214159.79151.8334
2Arthur Kaliyev56486511386148510529616.22%17122721.9268143512387146.1051.8404
3Nick Swaney72555511083305912036515.07%11143219.8956113800057060.9521.5403
4Cole Reinhardt72416810982961758432312.69%17147320.463101347101124156.8621.4802
5Tyler Angle7222618380246213220410.78%8130018.0719102800002067.5701.2801

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
1Collin Delia3424910.9031.60202326545540200.90010
2Tyler Wall2616720.8772.39153342614940200.7147

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
2023724322012223791762033619120021218397863624100101019679117963796621041081681081004261282687289733136540477414302654416.60%3386481.07%71250206560.53%802153452.28%697114061.14%220117091352410788436
Total Saison régulière724322012223791762033619120021218397863624100101019679117963796621041081681081004261282687289733136540477414302654416.60%3386481.07%71250206560.53%802153452.28%697114061.14%220117091352410788436
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

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