Connexion

Phantoms
GP: 22 | W: 16 | L: 6
GF: 101 | GA: 74 | PP%: 21.67% | PK%: 80.00%
DG: Simon DeChamplain | Morale : 99 | Moyenne d’équipe : 65
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Centre de jeu
Eagles
12-7-0, 24pts
0
FINAL
2 Phantoms
16-6-0, 32pts
Team Stats
L2StreakW2
5-5-0Home Record6-4-0
7-2-0Away Record10-2-0
4-5-1Last 10 Games7-3-0
4.37Buts par match 4.59
3.37Buts contre par match 3.36
24.29%Pourcentage en avantage numérique21.67%
87.14%Pourcentage en désavantage numérique80.00%
Eagles
12-7-0, 24pts
2
FINAL
5 Phantoms
16-6-0, 32pts
Team Stats
L2StreakW2
5-5-0Home Record6-4-0
7-2-0Away Record10-2-0
4-5-1Last 10 Games7-3-0
4.37Buts par match 4.59
3.37Buts contre par match 3.36
24.29%Pourcentage en avantage numérique21.67%
87.14%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Buts
Travis Konecny
25
Passes
Calle Jarnkrok
34
Points
Calle Jarnkrok
46
Plus/Moins
Calle Jarnkrok
22
Victoires
Anton Forsberg
14
Pourcentage d’arrêts
Zachary Fucale
0.915

Statistiques d’équipe
Buts pour
101
4.59 GFG
Tirs pour
800
36.36 Avg
Pourcentage en avantage numérique
21.7%
13 GF
Début de zone offensive
37.5%
Buts contre
74
3.36 GAA
Tirs contre
765
34.77 Avg
Pourcentage en désavantage numérique
80.0%
14 GA
Début de la zone défensive
36.1%
Informations de l'équipe

Directeur généralSimon DeChamplain
EntraîneurKevin Dineen
DivisionFritz-Kraatz
ConférenceRobert-Lebel
CapitaineDave Bolland
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,874
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure20
Limite contact 53 / 250
Espoirs0


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
1Calle Jarnkrok (R)X100.006631757475797771817677667263573886720251995,000$
2Michael Bournival (R)X100.007739787778737474687078717765534174720241950,000$
3Travis Konecny (R)X100.006231748363766786686971628145446986700191500,000$
4Sven Andrighetto (R)X100.007734796578747068716478577148484886680233700,000$
5Alex DeBrincat (R)X100.007454847574667465717271577543417986680192500,000$
6Cristoval Nieves (R)X100.006626757464677270747668526745464683660222600,000$
7Morgan Klimchuk (R)X100.006432727268737367666966687345434965660213650,000$
8Lucas Wallmarkk (R)X100.007038716462716172717364636243435883650204600,000$
9David Kampf (R)X100.005742816268686669656571546543465886640211500,000$
10Brendan Leipsic (R)X100.005233686364636064757170526145464482620222500,000$
11Laurent Dauphin (R)X100.007037775967616768576861486543435082610213500,000$
12Nick Sorensen (R)X100.005633757166656662595272527146464986610223525,000$
13JC Lipon (R)X100.007256666569496762645460495448474280590232450,000$
14Anthony Angello (R)X100.004836786062736453646259565042425182580203450,000$
15Jake Dotchin (R)X100.007940787475736167537453755859464669710223800,000$
16Reid McNeill (R)X100.007547787480678173596758706662483956710241650,000$
17Ivan Provorov (R)X100.007147797373726567477165715549427684690191500,000$
18Mark Alt (R)X100.007032736868676855516758805354543163670251400,000$
19Blake Heinrich (R)X100.006734686870715955457066755146444882660213500,000$
20Brenden Kichton (R)X100.006530766866686666536060716154553582650241400,000$
21Devon Teows (R)X100.007248726764646068496252695147485178650224600,000$
22Rinat Valiev (R)X100.007134786865666471506257655945445682650213500,000$
23Mikko Lehtonen (R)X100.007041745750657175466975546148484986640222500,000$
Rayé
1Nick Shore (R)X100.005426746969726773827573535852553978670242800,000$
2Erik Nystrom (R)X100.006823747074686769676170647348473878650232600,000$
3A.J. Greer (R)X100.005942596566597056575559494944435048570201500,000$
4Brett Murray (R)X100.007436616474536254435360524040407326560182500,000$
5Cooper Marody (R)X100.004234685950585858707154364644425526550201500,000$
6Matt Kiersted (R)X100.006345615762535151395340554640406726550182500,000$
7Riley Stillman (R)X100.006539615660545950325550534440407026550182500,000$
MOYENNE D’ÉQUIPE100.00663773676766666560666460614846527164
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
1Anton Forsberg100.00737271787378747072747261554085720241500,000$
2Zachary Fucale100.00657555636771707276715644445073680213500,000$
Rayé
1Jason Kasdorf100.00666578636370686864696652524125660241500,000$
MOYENNE D’ÉQUIPE100.0068716868687371707171655250446169
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Dineen73656679327257Can485500,000$


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
1Calle JarnkrokPhantoms (Phi)C221234462280343866144718.18%1249322.432579550001624255.28%758813001.8600000344
2Travis KonecnyPhantoms (Phi)RW22251641211202925129336319.38%1745820.855387540002275226.19%42287021.7900000353
3Michael BournivalPhantoms (Phi)LW221524392120412884214417.86%1549222.381458540002622147.14%701524111.5800000224
4Cristoval NievesPhantoms (Phi)C22119201240212157133619.30%526512.0600004000012047.89%142102011.5100000120
5Nick ShorePhantoms (Phi)C20712193120203154204112.96%630215.13134435000000055.24%248165001.2600000200
6Sven AndrighettoPhantoms (Phi)RW2211617160432846142723.91%1037717.181235410003292047.37%1978000.9000000003
7Alex DeBrincatPhantoms (Phi)LW225111612036237020397.14%1234415.64325941000000026.67%1563000.9300000000
8Erik NystromPhantoms (Phi)LW21561166012842142211.90%41919.1100000000000022.22%994001.1500000010
9Reid McNeillPhantoms (Phi)D22011111916027443517120.00%3456725.79011459000160000.00%01215000.3900000000
10Morgan KlimchukPhantoms (Phi)LW2236946012162581912.00%71637.4200000000000033.33%396001.1000000010
11Ivan ProvorovPhantoms (Phi)D22167-5952633291383.45%2342619.40000339000044000.00%0613000.3300001000
12Jake DotchinPhantoms (Phi)D220661818024363211180.00%3854124.61011259000058000.00%0518000.2200000001
13Brenden KichtonPhantoms (Phi)D220558120102210760.00%2330313.80011013000020000.00%0011000.3300000000
14Lucas WallmarkkPhantoms (Phi)C22145-76018132916233.45%61788.0900000000000057.75%7131000.5600000000
15Nick SorensenPhantoms (Phi)RW2223511401712254148.00%525411.5600000000000014.29%746000.3900000001
16Devon TeowsPhantoms (Phi)D22224721510882325.00%91607.290000000003100.00%026000.5000010000
17Blake HeinrichPhantoms (Phi)D16123-68010915656.67%1423314.60000013000019000.00%036000.2600000000
18Rinat ValievPhantoms (Phi)D220331340768430.00%152089.490000100006000.00%003000.2900000000
19JC LiponPhantoms (Phi)RW22022-7001897480.00%01747.940000200000000.00%315000.2300000000
20David KampfPhantoms (Phi)C22011-100030010.00%2311.4201103000000022.22%910000.6400000000
21Mark AltPhantoms (Phi)D8011240489500.00%1415319.19000211000017000.00%027000.1300000000
22A.J. GreerPhantoms (Phi)LW14000000030000.00%0131.0000000000011000.00%000000.0000000000
23Anthony AngelloPhantoms (Phi)C22000000110100.00%0190.88000000000140022.22%900000.0000000000
24Brendan LeipsicPhantoms (Phi)LW22000-30024195110.00%1894.070000300007000.00%040000.0000000000
25Laurent DauphinPhantoms (Phi)C22000-100100000.00%0210.97000010000140080.00%500000.0000000000
26Mikko LehtonenPhantoms (Phi)D22000100121110.00%3703.180000000001000.00%012000.0000000000
Statistiques d’équipe totales ou en moyenne5411011702711401601042443180025345112.63%275653612.0813233653499000946416552.06%1410152165140.8300011111516
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
1Anton ForsbergPhantoms (Phi)1914300.9003.3410590159589307100.0000193200
2Zachary FucalePhantoms (Phi)62300.9153.36268001517693000.0000319100
Statistiques d’équipe totales ou en moyenne2516600.9033.3413280174765400100.00002222300


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
A.J. GreerPhantoms (Phi)LW201996-01-01Yes210 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Alex DeBrincatPhantoms (Phi)LW191997-01-01Yes165 Lbs5 ft7NoNoNo2Pro & Farm500,000$0$0$No500,000$
Anthony AngelloPhantoms (Phi)C201996-01-01Yes210 Lbs6 ft5NoNoNo3Pro & Farm450,000$0$0$No450,000$450,000$
Anton ForsbergPhantoms (Phi)G241992-01-01No191 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Blake HeinrichPhantoms (Phi)D211995-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Brendan LeipsicPhantoms (Phi)LW221994-01-01Yes165 Lbs5 ft8NoNoNo2Pro & Farm500,000$0$0$No500,000$
Brenden KichtonPhantoms (Phi)D241992-01-01Yes185 Lbs5 ft10NoNoNo1Pro & Farm400,000$0$0$No
Brett MurrayPhantoms (Phi)LW181998-01-01Yes216 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$
Calle JarnkrokPhantoms (Phi)C251991-01-01Yes156 Lbs5 ft11NoNoNo1Pro & Farm995,000$0$0$No
Cooper MarodyPhantoms (Phi)C201996-01-01Yes184 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Cristoval NievesPhantoms (Phi)C221994-01-01Yes192 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$
David KampfPhantoms (Phi)C211995-01-01Yes188 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Devon TeowsPhantoms (Phi)D221994-01-01Yes191 Lbs5 ft11NoNoNo4Pro & Farm600,000$0$0$No700,000$800,000$900,000$
Erik NystromPhantoms (Phi)LW231993-01-01Yes176 Lbs5 ft11NoNoNo2Pro & Farm600,000$0$0$No600,000$
Ivan ProvorovPhantoms (Phi)D191997-01-01Yes201 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
JC LiponPhantoms (Phi)RW231993-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm450,000$0$0$No450,000$
Jake DotchinPhantoms (Phi)D221994-01-01Yes207 Lbs6 ft2NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Jason KasdorfPhantoms (Phi)G241992-01-01No172 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Laurent DauphinPhantoms (Phi)C211995-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Lucas WallmarkkPhantoms (Phi)C201996-01-01Yes178 Lbs6 ft0NoNoNo4Pro & Farm600,000$0$0$No700,000$800,000$900,000$
Mark AltPhantoms (Phi)D251991-01-01Yes201 Lbs6 ft1NoNoNo1Pro & Farm400,000$0$0$No
Matt KierstedPhantoms (Phi)D181998-01-01Yes184 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Michael BournivalPhantoms (Phi)LW241992-01-01Yes195 Lbs5 ft11NoNoNo1Pro & Farm950,000$0$0$No
Mikko LehtonenPhantoms (Phi)D221994-01-01Yes196 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Morgan KlimchukPhantoms (Phi)LW211995-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm650,000$0$0$No650,000$650,000$
Nick ShorePhantoms (Phi)C241992-01-01Yes194 Lbs6 ft1NoNoNo2Pro & Farm800,000$0$0$No850,000$
Nick SorensenPhantoms (Phi)RW221994-01-01Yes185 Lbs6 ft1NoNoNo3Pro & Farm525,000$0$0$No525,000$525,000$
Reid McNeillPhantoms (Phi)D241992-01-01Yes210 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$No
Riley StillmanPhantoms (Phi)D181998-01-01Yes196 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Rinat ValievPhantoms (Phi)D211995-01-01Yes185 Lbs6 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Sven AndrighettoPhantoms (Phi)RW231993-01-01Yes185 Lbs5 ft10NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Travis KonecnyPhantoms (Phi)RW191997-01-01Yes175 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$No
Zachary FucalePhantoms (Phi)G211995-01-01No185 Lbs6 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3321.58188 Lbs6 ft02.03565,758$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael BournivalCalle JarnkrokTravis Konecny40122
2Alex DeBrincatCristoval NievesSven Andrighetto30122
3Morgan KlimchukLucas WallmarkkNick Sorensen20122
4Brendan LeipsicDavid KampfJC Lipon10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reid McNeillJake Dotchin40122
2Ivan ProvorovMark Alt30122
3Blake HeinrichBrenden Kichton20122
4Rinat ValievDevon Teows10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael BournivalCalle JarnkrokTravis Konecny60122
2Alex DeBrincatCristoval NievesSven Andrighetto40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reid McNeillJake Dotchin60122
2Ivan ProvorovMark Alt40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Calle JarnkrokMichael Bournival60122
2Travis KonecnySven Andrighetto40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reid McNeillJake Dotchin60122
2Ivan ProvorovMark Alt40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Calle Jarnkrok60122Reid McNeillJake Dotchin60122
2Michael Bournival40122Ivan ProvorovMark Alt40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Calle JarnkrokMichael Bournival60122
2Travis KonecnySven Andrighetto40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Reid McNeillJake Dotchin60122
2Ivan ProvorovMark Alt40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael BournivalCalle JarnkrokTravis KonecnyReid McNeillJake Dotchin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael BournivalCalle JarnkrokTravis KonecnyReid McNeillJake Dotchin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Laurent Dauphin, Anthony Angello, Morgan KlimchukLaurent Dauphin, Anthony AngelloMorgan Klimchuk
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mikko Lehtonen, Blake Heinrich, Brenden KichtonMikko LehtonenBlake Heinrich, Brenden Kichton
Tirs de pénalité
Calle Jarnkrok, Michael Bournival, Travis Konecny, Sven Andrighetto, Alex DeBrincat
Gardien
#1 : Anton Forsberg, #2 : Zachary Fucale


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
1Eagles440000002112922000000725220000001410481.0002136570142262851432792422621713856268313430.77%13376.92%028652954.06%24150947.35%20737255.65%480283466199383192
2Griffins440000002413112200000095422000000158781.0002441650042262851552792422621714941206612325.00%10190.00%028652954.06%24150947.35%20737255.65%480283466199383192
3Monsters743000002720731200000711-4431000002091180.57127457200422628524427924226217223945615625520.00%18383.33%028652954.06%24150947.35%20737255.65%480283466199383192
4Rocket743000002929031200000711-4431000002218480.57129487700422628525827924226217255845811910110.00%29775.86%028652954.06%24150947.35%20737255.65%480283466199383192
Total22166000001017427106400000302911210200000714526320.72710117027101422628580027924226217765275160424601321.67%701480.00%028652954.06%24150947.35%20737255.65%480283466199383192
_Since Last GM Reset22166000001017427106400000302911210200000714526320.72710117027101422628580027924226217765275160424601321.67%701480.00%028652954.06%24150947.35%20737255.65%480283466199383192
_Vs Conference1812600000806218844000002327-4108200000573522240.667801342140042262856572792422621762721913434147919.15%571180.70%028652954.06%24150947.35%20737255.65%480283466199383192

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2232W210117027180076527516042401
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
22166000010174
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
106400003029
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1210200007145
Derniers 10 matchs
WLOTWOTL SOWSOL
631000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
601321.67%701480.00%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
279242262174226285
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
28652954.06%24150947.35%20737255.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
480283466199383192


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 - 2021-11-304Griffins2Phantoms5BWSommaire du match
2 - 2021-12-0112Griffins3Phantoms4BWXSommaire du match
3 - 2021-12-0220Phantoms7Griffins6AWXSommaire du match
4 - 2021-12-0328Phantoms8Griffins2AWSommaire du match
8 - 2021-12-0758Phantoms4Monsters5ALSommaire du match
9 - 2021-12-0862Phantoms8Monsters1AWSommaire du match
10 - 2021-12-0966Monsters6Phantoms3BLSommaire du match
11 - 2021-12-1070Monsters1Phantoms2BWXSommaire du match
12 - 2021-12-1174Phantoms5Monsters2AWSommaire du match
13 - 2021-12-1278Monsters4Phantoms2BLSommaire du match
14 - 2021-12-1382Phantoms3Monsters1AWSommaire du match
15 - 2021-12-1485Phantoms7Rocket6AWXSommaire du match
16 - 2021-12-1587Phantoms8Rocket4AWSommaire du match
17 - 2021-12-1689Rocket5Phantoms2BLSommaire du match
18 - 2021-12-1791Rocket5Phantoms1BLSommaire du match
19 - 2021-12-1893Phantoms2Rocket5ALSommaire du match
20 - 2021-12-1995Rocket1Phantoms4BWSommaire du match
21 - 2021-12-2097Phantoms5Rocket3AWSommaire du match
22 - 2021-12-2199Phantoms9Eagles6AWSommaire du match
23 - 2021-12-22100Phantoms5Eagles4AWXSommaire du match
24 - 2021-12-23101Eagles0Phantoms2BWSommaire du match
25 - 2021-12-24102Eagles2Phantoms5BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3520
Assistance20,0008,740
Assistance PCT100.00%87.40%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
30 2874 - 95.80% 91,854$918,540$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,867,000$ 1,530,000$ 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

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