Connexion

Phantoms
GP: 10 | W: 4 | L: 4 | OTL: 2 | P: 10
GF: 25 | GA: 27 | PP%: 7.55% | PK%: 83.56%
DG: Mathieu Gendron | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Wolf Pack
3-6-1, 7pts
6
FINAL
2 Phantoms
4-4-2, 10pts
Team Stats
L1SéquenceL2
2-3-0Fiche domicile2-2-1
1-3-1Fiche domicile2-2-1
3-6-1Derniers 10 matchs4-4-2
2.20Buts par match 2.50
3.10Buts contre par match 2.70
18.64%Pourcentage en avantage numérique7.55%
84.38%Pourcentage en désavantage numérique83.56%
Phantoms
4-4-2, 10pts
1
FINAL
2 Penguins
7-1-2, 16pts
Team Stats
L2SéquenceW1
2-2-1Fiche domicile4-0-1
2-2-1Fiche domicile3-1-1
4-4-2Derniers 10 matchs7-1-2
2.50Buts par match 2.70
2.70Buts contre par match 2.00
7.55%Pourcentage en avantage numérique15.15%
83.56%Pourcentage en désavantage numérique88.89%
Meneurs d'équipe
Buts
Michael Sgarbossa
4
Passes
Ty Smith
6
Points
Nicholas Robertson
9
Plus/Moins
Nicholas Robertson
6
Victoires
Joseph Woll
4
Pourcentage d’arrêts
Joseph Woll
0.847

Statistiques d’équipe
Buts pour
25
2.50 GFG
Tirs pour
175
17.50 Avg
Pourcentage en avantage numérique
7.5%
4 GF
Début de zone offensive
38.6%
Buts contre
27
2.70 GAA
Tirs contre
149
14.90 Avg
Pourcentage en désavantage numérique
83.6%%
12 GA
Début de la zone défensive
37.6%
Informations de l'équipe

Directeur généralMathieu Gendron
EntraîneurDavid Hakstol
DivisionDivision 2
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure18
Limite contact 47 / 60
Espoirs19


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)0XX100.007567927267778261505959645644446450002511,137,500$
2Grigori Denisenko (R)0XX100.007643927864556958256355612546466250002311,775,000$
3Nicholas Robertson0X100.00774299745858516856656470254646685000221821,667$
4Alex Limoges (R)0XX100.00807494587476796480626267594444665000261867,000$
5Lane Pederson0X100.00909273717262676372606064255454655000264750,000$
6Tye Kartye (R)0X100.0073727666728084645060656462444467500N0223925,000$
7Givani Smith0XX100.00849947718147695925585662255858605000252750,000$
8Nathan Bastian0XX100.00889079748062756636666677256060705000251825,000$
9Taro Hirose0X100.00705994695984906450655864555050655000271850,000$
10Brandon Gignac0XX100.00716390716352506480606265595555645000251921,666$
11Michael Sgarbossa0X100.00726882796867676680656464614545675000312750,000$
12Andreas Johnsson0XX100.006542868268657768426855627965656450002813,400,000$
13Ty Smith0X100.007064848464707359255051644858586150002331,263,333$
14Zachary Jones0X100.00614191706468836025454870754747595000223925,000$
15Jordan Harris (R)0X100.007142876767765863255448812553536250002331,137,500$
16Thomas Harley0X100.007671887871788457254949644747476050002211,288,333$
17David Farrance0X100.007367887967504954255241613944445550002411,350,000$
18Simon Lundmark (R)0X100.00807590707571774825404063384444545000232925,000$
19Josh Brook (R)0X100.00737178657142405225494161394444525000242910,833$
Rayé
1Tyce Thompson (R)0X100.00716683666657585650565161484444575000242762,500$
2Josiah Slavin (R)0X100.00706190706175825063474859464444565000241925,000$
3Jan Mysak (R)0XX100.00736493726464685063455160484444575000213902,500$
4Stelio Mattheos (R)0X100.00717171647157595063494759454444545000241925,000$
5Mark Friedman0XS2887581736965586125484874255253615000271775,000$
6Layton Ahac (R)0X100.00767286617252554525344060384444515000221925,000$
MOYENNE D’ÉQUIPE100.0075668571686468594455536545494961500
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
1Leevi Merilainen (R)0100.004757716845934551908145444463500N0213820,000$
2Dustin Wolf (R)0100.0067546857707270757675304444695000222825,000$
3Joseph Woll (R)0100.0063486077686361686564304545625000251766,667$
Rayé
1Jiri Patera (R)0100.0054475980585551585554304444545000242800,000$
MOYENNE D’ÉQUIPE100.005852657160715763726934444462500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Hakstol80868885807569CAN5521,500,000$


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
1Nicholas RobertsonPhantoms (PHI)LW114596204222291818.18%219918.121124470000440033.33%1800000.9000000120
2Michael SgarbossaPhantoms (PHI)C9448240411137930.77%214716.441122260001241056.07%10700001.0801000100
3Ty SmithPhantoms (PHI)D8066380848340%617922.45000633000039000%000000.6700000110
4John LeonardPhantoms (PHI)LW/RW103254608161731117.65%216816.881126430000160043.75%1600000.5900000011
5Zachary JonesPhantoms (PHI)D1014541006643525.00%618718.77000125000135000%000000.5300000100
6Alex LimogesPhantoms (PHI)C/LW101341401913647.69%212612.67000280110180054.41%6800000.6300000100
7Jordan HarrisPhantoms (PHI)D8134-320412104710.00%1118022.54112635011043000%000000.4400000010
8Lane PedersonPhantoms (PHI)C922432352112132215.38%211112.37101113000080060.00%8000000.7201100001
9Taro HirosePhantoms (PHI)LW71341205912398.33%111616.65011123000060030.00%1000000.6900000001
10Brandon GignacPhantoms (PHI)C/LW82242203374428.57%1627.87000213000000037.93%2900001.2700000100
11Andreas JohnssonPhantoms (PHI)LW/RW9224300111651133.33%317219.130001390000491044.44%1800000.4602000100
12Grigori DenisenkoPhantoms (PHI)LW/RW1103328069123140%219918.100111350111440050.00%1400000.3000000000
13Quinton ByfieldFlyersC/LW702236014195380%114721.120112280000320045.86%13300000.2702000000
14Mark FriedmanPhantoms (PHI)D6022442101422010%210417.49011117000028000%000000.3800010000
15David FarrancePhantoms (PHI)D9112312015621250.00%415517.32000016000025000%000000.2600000000
16Thomas HarleyPhantoms (PHI)D10101214020881412.50%1022522.57000241000052000%000000.0900000000
17Tye KartyePhantoms (PHI)LW7011000078520%0456.45000010000000100.00%200000.4400000000
18Givani SmithPhantoms (PHI)LW/RW91013220181464416.67%011612.9600019000030020.00%1000000.1700000000
19Nathan BastianPhantoms (PHI)C/RW2011160513110%14120.88000070000120042.50%4000000.4800000000
20Simon LundmarkPhantoms (PHI)D3011040311110%24916.440000200004000%000000.4100000000
21Tyce ThompsonPhantoms (PHI)RW2000-100022000%0199.5500000000010033.33%30000000000000
22Josiah SlavinPhantoms (PHI)C2000-100161130%12211.4400000000040050.00%120000000000000
23Jan MysakPhantoms (PHI)C/LW3000-100040120%03712.4100007000030052.63%190000000000000
24Stelio MattheosPhantoms (PHI)C1000000110000%02020.0800003000000036.36%110000000000000
25Josh BrookPhantoms (PHI)D4000340411010%06716.930000600009000%00000000000000
Statistiques d’équipe totales ou en moyenne17524477144181151661961767012713.64%61290616.6158133948803335122049.15%59000000.4906110753
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
1Joseph WollPhantoms (PHI)94320.8472.2550701191240000.600590001
2Leevi MerilainenPhantoms (PHI)10000.7502.934100280000007000
Statistiques d’équipe totales ou en moyenne104320.8412.305490121132000597001


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible 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 10Lien
Alex LimogesPhantoms (PHI)C/LW261997-09-16Yes201 Lbs6 ft1NoNoNoNo1Pro & Farm867,000$867,000$867,000$867,000$0$0$NoLien
Andreas JohnssonPhantoms (PHI)LW/RW281994-11-20No194 Lbs5 ft10NoNoNoNo1Pro & Farm3,400,000$3,400,000$3,400,000$3,400,000$0$0$NoLien
Brandon GignacPhantoms (PHI)C/LW251997-11-07No170 Lbs5 ft11NoNoNoNo1Pro & Farm921,666$921,666$921,666$921,666$0$0$NoLien
David FarrancePhantoms (PHI)D241999-06-23No189 Lbs5 ft11NoNoNoNo1Pro & Farm1,350,000$1,350,000$1,350,000$1,350,000$0$0$NoLien
Dustin WolfPhantoms (PHI)G222001-04-16Yes155 Lbs6 ft0NoNoNoNo2Pro & Farm825,000$825,000$825,000$825,000$0$0$No825,000$Lien
Givani SmithPhantoms (PHI)LW/RW251998-02-27No210 Lbs6 ft2NoNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Grigori DenisenkoPhantoms (PHI)LW/RW232000-06-24Yes175 Lbs5 ft11NoNoNoNo1Pro & Farm1,775,000$1,775,000$450,000$450,000$0$0$NoLien
Jan MysakPhantoms (PHI)C/LW212002-06-24Yes175 Lbs5 ft11NoNoNoNo3Pro & Farm902,500$902,500$902,500$902,500$0$0$No902,500$902,500$
Jiri PateraPhantoms (PHI)G241999-02-24Yes209 Lbs6 ft2NoNoNoNo2Pro & Farm800,000$800,000$800,000$800,000$0$0$No800,000$Lien
John LeonardPhantoms (PHI)LW/RW251998-08-07Yes185 Lbs5 ft11NoNoNoNo1Pro & Farm1,137,500$1,137,500$1,137,500$1,137,500$0$0$NoLien
Jordan HarrisPhantoms (PHI)D232000-07-07Yes189 Lbs5 ft11NoNoNoNo3Pro & Farm1,137,500$1,137,500$1,137,500$1,137,500$0$0$No1,137,500$1,137,500$Lien
Joseph WollPhantoms (PHI)G251998-07-12Yes198 Lbs6 ft2NoNoNoNo1Pro & Farm766,667$766,667$766,667$766,667$0$0$NoLien
Josh BrookPhantoms (PHI)D241999-06-17Yes194 Lbs6 ft1NoNoNoNo2Pro & Farm910,833$910,833$910,833$910,833$0$0$No910,833$Lien
Josiah SlavinPhantoms (PHI)C241998-12-31Yes161 Lbs6 ft0NoNoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Lane PedersonPhantoms (PHI)C261997-08-04No190 Lbs6 ft0NoNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Layton AhacPhantoms (PHI)D222001-02-22Yes190 Lbs6 ft2NoNoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Leevi MerilainenPhantoms (PHI)G212002-08-13Yes175 Lbs6 ft2YesNoNoNo3Pro & Farm820,000$820,000$820,000$820,000$0$0$No820,000$820,000$Lien
Mark FriedmanPhantoms (PHI)D271995-12-25No185 Lbs5 ft11NoNoNoNo1Pro & Farm775,000$775,000$775,000$775,000$0$0$NoLien
Michael SgarbossaPhantoms (PHI)C311992-07-25No185 Lbs6 ft0NoNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Nathan BastianPhantoms (PHI)C/RW251997-12-06No205 Lbs6 ft4NoNoNoNo1Pro & Farm825,000$825,000$825,000$825,000$0$0$NoLien
Nicholas RobertsonPhantoms (PHI)LW222001-09-11No162 Lbs5 ft9NoNoNoNo1Pro & Farm821,667$821,667$821,667$821,667$0$0$NoLien
Simon LundmarkPhantoms (PHI)D232000-10-08Yes201 Lbs6 ft2NoNoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien
Stelio MattheosPhantoms (PHI)C241999-06-14Yes194 Lbs6 ft1NoNoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Taro HirosePhantoms (PHI)LW271996-06-30No162 Lbs5 ft10NoNoNoNo1Pro & Farm850,000$850,000$850,000$850,000$0$0$NoLien
Thomas HarleyPhantoms (PHI)D222001-08-18No188 Lbs6 ft3NoNoNoNo1Pro & Farm1,288,333$1,288,333$1,288,333$1,288,333$0$0$NoLien
Ty SmithPhantoms (PHI)D232000-03-23No176 Lbs5 ft11NoNoNoNo3Pro & Farm1,263,333$1,263,333$1,263,333$1,263,333$0$0$No1,263,333$1,263,333$Lien
Tyce ThompsonPhantoms (PHI)RW241999-07-11Yes178 Lbs6 ft1NoNoNoNo2Pro & Farm762,500$762,500$762,500$762,500$0$0$No762,500$Lien
Tye KartyePhantoms (PHI)LW222001-04-30Yes202 Lbs5 ft11YesNoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$Lien
Zachary JonesPhantoms (PHI)D222000-10-18No175 Lbs5 ft11NoNoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2924.14185 Lbs6 ft01.761,034,465$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andreas JohnssonNathan BastianJohn Leonard35122
2Nicholas RobertsonMichael SgarbossaGivani Smith30122
3Taro HiroseLane PedersonGrigori Denisenko25122
4Tye KartyeAlex LimogesNathan Bastian10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisThomas Harley35122
2Zachary JonesDavid Farrance30122
3Simon LundmarkJosh Brook25122
4Jordan HarrisThomas Harley10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andreas JohnssonNathan BastianJohn Leonard60122
2Nicholas RobertsonMichael SgarbossaGivani Smith40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisThomas Harley60122
2Zachary JonesDavid Farrance40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nathan BastianAndreas Johnsson60122
2Michael SgarbossaNicholas Robertson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisThomas Harley60122
2Zachary JonesDavid Farrance40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nathan Bastian60122Jordan HarrisThomas Harley60122
2Andreas Johnsson40122Zachary JonesDavid Farrance40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nathan BastianAndreas Johnsson60122
2Michael SgarbossaNicholas Robertson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisThomas Harley60122
2Zachary JonesDavid Farrance40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andreas JohnssonNathan BastianJohn LeonardJordan HarrisThomas Harley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andreas JohnssonNathan BastianJohn LeonardJordan HarrisThomas Harley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Gignac, Lane Pederson, Taro HiroseBrandon Gignac, Lane PedersonTaro Hirose
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Simon Lundmark, Josh Brook, Zachary JonesSimon LundmarkJosh Brook, Zachary Jones
Tirs de pénalité
Nathan Bastian, Andreas Johnsson, Michael Sgarbossa, Nicholas Robertson, Lane Pederson
Gardien
#1 : Joseph Woll, #2 : Leevi Merilainen
Lignes d’attaque personnalisées en prolongation
Nathan Bastian, Andreas Johnsson, Michael Sgarbossa, Nicholas Robertson, Lane Pederson, Taro Hirose, Taro Hirose, Alex Limoges, Tye Kartye, Brandon Gignac, John Leonard
Lignes de défense personnalisées en prolongation
Jordan Harris, Thomas Harley, Zachary Jones, David Farrance, Simon Lundmark


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
1Monsters2110000056-11010000004-41100000052320.500591400128504361515712321014241200.00%7271.43%012523852.52%10723246.12%6114741.50%2371612447712761
2Penguins2010000146-21000000134-11010000012-110.250461000128504361515712351953301218.33%20385.00%012523852.52%10723246.12%6114741.50%2371612447712761
3Sound Tigers2110000035-2110000002111010000014-320.5003470012850246151571238134440300.00%22290.91%012523852.52%10723246.12%6114741.50%2371612447712761
4Wolf Pack4210000113103211000007612100000164250.625132336011285065615157124423787526311.54%24579.17%112523852.52%10723246.12%6114741.50%2371612447712761
Total1044000022527-2522000011215-35220000113121100.500254267011285017561515712149651891695347.55%731283.56%112523852.52%10723246.12%6114741.50%2371612447712761
_Since Last GM Reset1044000022527-2522000011215-35220000113121100.500254267011285017561515712149651891695347.55%731283.56%112523852.52%10723246.12%6114741.50%2371612447712761
_Vs Conference8330000222220412000011014-442100001128480.500223860011285015161515712111521451295048.00%511080.39%112523852.52%10723246.12%6114741.50%2371612447712761
_Vs Division1033000022527-2512000011215-3521000011312180.400254267011285017561515712149651891695347.55%731283.56%112523852.52%10723246.12%6114741.50%2371612447712761

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1010L22542671751496518916901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104400022527
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52200011215
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52200011312
Derniers 10 matchs
WLOTWOTL SOWSOL
440002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
5347.55%731283.56%1
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
6151571212850
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
12523852.52%10723246.12%6114741.50%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2371612447712761


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
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
19Phantoms1Sound Tigers4ALSommaire du match
211Phantoms4Wolf Pack1AWSommaire du match
322Wolf Pack0Phantoms5BWSommaire du match
435Sound Tigers1Phantoms2BWSommaire du match
546Phantoms2Wolf Pack3ALXXSommaire du match
761Penguins4Phantoms3BLXXSommaire du match
974Monsters4Phantoms0BLSommaire du match
1088Phantoms5Monsters2AWSommaire du match
1297Wolf Pack6Phantoms2BLSommaire du match
13100Phantoms1Penguins2ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,922,450$ 2,789,950$ 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 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