Connexion

Phantoms
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Shareem Mallick | Morale : 50 | Moyenne d’équipe : 55
Prochains matchs #4 vs Thunderbirds
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Thunderbirds
0-0-0, 0pts
Jour 1
Phantoms
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Phantoms
0-0-0, 0pts
Jour 2
Roadrunners
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Roadrunners
0-0-0, 0pts
Jour 3
Phantoms
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralShareem Mallick
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison1,500


Informations de la formation

Équipe Pro35
Équipe Mineure19
Limite contact 54 / 100
Espoirs160


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
1Cameron HebigX100.0071668468665655627857646261444463505902821,014,000$
2Michael PezzettaX100.0094957373814450593350556563626260505902731,448,000$
3Parker Bell (R)X100.0082818463817278495044486446444456505602231,276,000$
4Felix Unger Sorum (R)X100.0072639365637176525053466044444456505602031,277,000$
5Daniel D'AmatoXXX100.007571846571515154684757625444445850560242979,000$
6Jamieson ReesX100.0074669164664746526553476145444455505402421,238,000$
7Anthony VincentXXX100.0069706665705455526547535950444455505402821,035,000$
8Ivan Demidov (R)X100.0079719980715356445038446242444453505401931,268,000$
9Zach SolowX100.0069657764655050525053475945444454505302731,317,000$
10Hunter Brzustewicz (R)X100.0077709467708087522549416339444457506102031,322,000$
11David SpacekX100.0075708666708088522549416239444456506102231,331,000$
12William LagessonX100.0078787868785253532543466744575755506002921,955,000$
13Declan Carlile (R)X100.0073737473736975482538436041444453505902531,189,000$
14Jake LivingstoneX100.007978816478697549253745634344445550590262900,000$
15Zachary MassicotteX100.008681998081333241252839643744445050560242900,000$
16Jakub Dvorak (R)X100.0081818261814748442534396337444450505502031,277,000$
17Zayne Parekh (R)X100.0075659980655154412528395937444450505501931,278,000$
18Rodwin Dionicio (R)X100.0069765463764240522537535950444454505402131,264,000$
19Xavier Bernard (R)X100.0079807861804140452536396237444450505402531,326,000$
Rayé
1Bogdan TrineyevX100.0080768865767277545046586555444461505902300$
2Ryder KorczakX100.0071638864634848526551486046444455505302300$
3Oliver Moore (R)X100.0077679980675052445538446142444452505302031,264,000$
4Ian McKinnonXXX100.006578356378505050634550564844445150520272967,000$
5Ryan HoferX100.0072707780703432445038445842444450505102331,130,000$
6Curtis HallX100.008479956079373645563846644444445250510252993,000$
7Riley McKayXXX100.006070356370474749614647534544445050510262973,000$
8Riley BezeauXXX100.006768656268414048604447574544445150500232923,000$
9Logan NijhoffX100.006268476068363448504644544244444850490242977,000$
10Matteo PietroniroX100.007372756172424244253340593844444850520272750,000$
11Bryan Yoon (R)X100.007365936065393845253539593744444950520272900,000$
12Mitchell Vande SompelX100.0077689960683735462537396137444450505202821,065,000$
MOYENNE D’ÉQUIPE100.00757280677251534943434661444545535055
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
1Carter George (R)100.00444050744589454990814544446050590193983,000$
2Dylan Wells100.005050637550505156505030444451505302731,300,000$
Rayé
1Carter Gylander (R)100.004440508345894549908145444460506002400$
2Isaac Poulter100.00484050674948525451513044444950500242934,000$
MOYENNE D’ÉQUIPE100.0047435375476948527066384444555056
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Anthony VincentPhantoms (PHI)C/LW/RW281997-08-12USANo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,035,000$1,035,000$0$0$No1,035,000$--------1,035,000$--------No--------Lien
Bogdan TrineyevPhantoms (PHI)RW232002-03-04RUSNo202 Lbs6 ft3NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Bryan YoonPhantoms (PHI)D271998-01-27USAYes172 Lbs6 ft1NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------Lien
Cameron HebigPhantoms (PHI)C281997-01-21SKWNo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,014,000$1,014,000$0$0$No1,014,000$--------1,014,000$--------No--------Lien / Lien NHL
Carter GeorgePhantoms (PHI)G192006-05-20CANYes195 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm983,000$983,000$0$0$No983,000$983,000$-------983,000$983,000$-------NoNo-------Lien
Carter GylanderPhantoms (PHI)G242001-06-05CANYes190 Lbs6 ft5NoNoProspectNoNo02025-10-16FalseFalsePro & Farm0$0$No---------------------------Lien
Curtis HallPhantoms (PHI)C252000-04-26USANo212 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm993,000$993,000$0$0$No993,000$--------993,000$--------No--------Lien
Daniel D'AmatoPhantoms (PHI)C/LW/RW242001-04-08ONTNo194 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm979,000$979,000$0$0$No979,000$--------979,000$--------No--------Lien
David SpacekPhantoms (PHI)D222003-02-18USANo190 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,331,000$1,331,000$0$0$No1,331,000$1,331,000$-------1,331,000$1,331,000$-------NoNo-------Lien
Declan CarlilePhantoms (PHI)D252000-05-18USAYes192 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,189,000$1,189,000$0$0$No1,189,000$1,189,000$-------1,189,000$1,189,000$-------NoNo-------Lien
Dylan WellsPhantoms (PHI)G271998-01-03CANNo190 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,300,000$1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien
Felix Unger SorumPhantoms (PHI)RW202005-09-14NORYes170 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$1,277,000$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Hunter BrzustewiczPhantoms (PHI)D202004-11-29USAYes190 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,322,000$1,322,000$0$0$No1,322,000$1,322,000$-------1,322,000$1,322,000$-------NoNo-------Lien
Ian McKinnonPhantoms (PHI)C/LW/RW271998-03-05ONTNo212 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm967,000$967,000$0$0$No967,000$--------967,000$--------No--------Lien
Isaac PoulterPhantoms (PHI)G242001-09-12MANNo174 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm934,000$934,000$0$0$No934,000$--------934,000$--------No--------Lien
Ivan DemidovPhantoms (PHI)RW192005-12-10RUSYes192 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,268,000$1,268,000$0$0$No1,268,000$1,268,000$-------1,268,000$1,268,000$-------NoNo-------Lien
Jake LivingstonePhantoms (PHI)D261999-04-16CANNo207 Lbs6 ft4NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------Lien
Jakub DvorakPhantoms (PHI)D202005-05-25CZEYes210 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$1,277,000$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Jamieson ReesPhantoms (PHI)C242001-02-26ONTNo186 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,238,000$1,238,000$0$0$No1,238,000$--------1,238,000$--------No--------Lien
Logan NijhoffPhantoms (PHI)LW242001-06-23BCNo187 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm977,000$977,000$0$0$No977,000$--------977,000$--------No--------Lien
Matteo PietroniroPhantoms (PHI)D271998-10-20USANo195 Lbs6 ft1NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------750,000$--------No--------Lien
Michael PezzettaPhantoms (PHI)LW271998-03-13CANNo219 Lbs6 ft1NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,448,000$1,448,000$0$0$No1,448,000$1,448,000$-------1,448,000$1,448,000$-------NoNo-------Lien / Lien NHL
Mitchell Vande SompelPhantoms (PHI)D281997-02-11ONTNo190 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,065,000$1,065,000$0$0$No1,065,000$--------1,065,000$--------No--------Lien
Oliver MoorePhantoms (PHI)C202005-01-22USAYes188 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,264,000$1,264,000$0$0$No1,264,000$1,264,000$-------1,264,000$1,264,000$-------NoNo-------Lien
Parker BellPhantoms (PHI)LW222003-09-26CANYes210 Lbs6 ft5NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,276,000$1,276,000$0$0$No1,276,000$1,276,000$-------1,276,000$1,276,000$-------NoNo-------Lien
Riley BezeauPhantoms (PHI)C/LW/RW232002-05-04NBNo188 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm923,000$923,000$0$0$No923,000$--------923,000$--------No--------Lien
Riley McKayPhantoms (PHI)C/LW/RW261999-03-07MANNo196 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm973,000$973,000$0$0$No973,000$--------973,000$--------No--------Lien
Rodwin DionicioPhantoms (PHI)D212004-03-30SWIYes207 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,264,000$1,264,000$0$0$No1,264,000$1,264,000$-------1,264,000$1,264,000$-------NoNo-------Lien
Ryan HoferPhantoms (PHI)RW232002-05-10MANNo181 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,130,000$1,130,000$0$0$No1,130,000$1,130,000$-------1,130,000$1,130,000$-------NoNo-------Lien
Ryder KorczakPhantoms (PHI)C232002-09-23SKWNo172 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
William LagessonPhantoms (PHI)D291996-02-22SWENo211 Lbs6 ft2NoNoAssign ManuallyNoNo22024-09-09FalseFalsePro & Farm1,955,000$1,955,000$0$0$No1,955,000$--------1,955,000$--------No--------Lien / Lien NHL
Xavier BernardPhantoms (PHI)D252000-01-06QCYes210 Lbs6 ft4NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,326,000$1,326,000$0$0$No1,326,000$1,326,000$-------1,326,000$1,326,000$-------NoNo-------Lien
Zach SolowPhantoms (PHI)RW271998-11-06USANo185 Lbs5 ft9NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,317,000$1,317,000$0$0$No1,317,000$1,317,000$-------1,317,000$1,317,000$-------NoNo-------Lien
Zachary MassicottePhantoms (PHI)D242001-03-15QUENo216 Lbs6 ft4NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------Lien
Zayne ParekhPhantoms (PHI)D192006-02-15CANYes179 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,278,000$1,278,000$0$0$No1,278,000$1,278,000$-------1,278,000$1,278,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3524.00194 Lbs6 ft12.291,050,086$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Daniel D'Amato30122
3Jamieson ReesCameron Hebig20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Livingstone40122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Daniel D'Amato40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Livingstone60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Livingstone60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jake Livingstone60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake Livingstone60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cameron HebigJake Livingstone
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Daniel D'AmatoJake Livingstone
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Livingstone, , ,
Tirs de pénalité
Daniel D'Amato, , , ,
Gardien
#1 : , #2 :


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%000%0000%000%000%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%000%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%000%000%
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
14Thunderbirds-Phantoms-
227Phantoms-Roadrunners-
338Roadrunners-Phantoms-
767Marlies-Phantoms-
993Bears-Phantoms-
10109Phantoms-Bears-
12125Islanders-Phantoms-
13140Phantoms-Marlies-
14156Reign-Phantoms-
17187Griffins-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
18196Phantoms-Islanders-
19198Phantoms-Reign-
20201Phantoms-Griffins-
21214Phantoms-Thunderbirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2510
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
7 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,675,300$ 3,675,300$ 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$ 22 0$ 0$




Phantoms Leaders statistiques des joueurs (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 des joueurs (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