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Phantoms
GP: 1 | W: 0 | L: 1 | OTL: 0 | P: 0
GF: 2 | GA: 3 | PP%: 12.50% | PK%: 80.00%
DG: Yannick Bernier | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #18 vs Penguins
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Centre de jeu
Bruins
2-0-0, 4pts
3
FINAL
2 Phantoms
0-1-0, 0pts
Team Stats
W2StreakL1
1-0-0Home Record0-1-0
1-0-0Away Record0-0-0
2-0-0Last 10 Games0-1-0
3.00Buts par match 2.00
1.50Buts contre par match 3.00
10.00%Pourcentage en avantage numérique12.50%
90.00%Pourcentage en désavantage numérique80.00%
Phantoms
0-1-0, 0pts
2022-10-14
Penguins
1-0-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-1-0Fiche domicile0-0-0
0-0-0Fiche visiteur1-0-0
0-1-010 derniers matchs1-0-0
2.00Buts par match 3.00
3.00Buts contre par match 3.00
12.50%Pourcentage en avantage numérique14.29%
80.00%Pourcentage en désavantage numérique83.33%
Flames
2-0-0, 4pts
2022-10-15
Phantoms
0-1-0, 0pts
Statistiques d’équipe
W2SéquenceL1
0-0-0Fiche domicile0-1-0
2-0-0Fiche visiteur0-0-0
2-0-010 derniers matchs0-1-0
3.00Buts par match 2.00
0.50Buts contre par match 2.00
20.00%Pourcentage en avantage numérique12.50%
100.00%Pourcentage en désavantage numérique80.00%
Phantoms
0-1-0, 0pts
2022-10-17
Flames
2-0-0, 4pts
Statistiques d’équipe
L1SéquenceW2
0-1-0Fiche domicile0-0-0
0-0-0Fiche visiteur2-0-0
0-1-010 derniers matchs2-0-0
2.00Buts par match 3.00
3.00Buts contre par match 3.00
12.50%Pourcentage en avantage numérique20.00%
80.00%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Gemel Smith
1
Passes
John Leonard
1
Points
John Leonard
1
Plus/Moins
Givani Smith
1
Victoires
Jiri Patera
0
Pourcentage d’arrêts
Jiri Patera
0.824

Statistiques d’équipe
Buts pour
2
2.00 GFG
Tirs pour
13
13.00 Avg
Pourcentage en avantage numérique
12.5%
1 GF
Début de zone offensive
41.4%
Buts contre
3
3.00 GAA
Tirs contre
17
17.00 Avg
Pourcentage en désavantage numérique
80.0%
1 GA
Début de la zone défensive
38.6%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,665
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 60
Espoirs14


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)0XX100.007343997266597863445758642550506350002421,137,500$
2Quinton Byfield (R)0X99.006543858281637062696169637548486550002023,544,167$
3Tyce Thompson (R)0X100.006866726666545166506465626244446450002311,125,000$
4Alex Limoges0X100.00797492587461616278546566624444645000252867,000$
5Cole Bardreau0X100.00766895636856566075526267595555635000291700,000$
6Lane Pederson0XX100.00844589717057676052575564254848615000251690,000$
7Evan Barratt (R)0XX100.00696870646861635670505860554444595000231925,000$
8Gemel Smith0XXX100.00767482727450486176536267595656635000282700,000$
9Givani Smith0XX100.00849942718151695644575961255555605000243750,000$
10Nathan Bastian0X100.00947175747962827343587069255858705000241905,000$
11Taro Hirose0XX100.00674191695957807244655865255050645000262850,000$
12Jack Studnicka0XX100.00764391806563695876655568254747645000231863,333$
13Ty Smith0X100.006942898464748367255749662557576350002211,263,333$
14Zachary Jones (R)0X100.00614099706266636125524773754646595000211925,000$
15Jordan Harris (R)0X100.007543776764694160253950702544445850002241,137,500$
16Thomas Harley (R)0X100.007343937873637561254848632547475950002121,288,333$
17Mark Friedman0X100.00756675736862515925514875254747605000262775,000$
18David Farrance (R)0X100.007467907967495049254339603744445350002321,350,000$
19Simon Lundmark (R)0X100.00807591707551524725384163394444535000213925,000$
Rayé
1Josiah Slavin (R)0X100.00714391707362656157575577254545635000232925,000$
2Brandon Gignac (R)0XX100.00716391716352506176575865555555625000242921,666$
3Stelio Mattheos (R)0XX100.00747279647253554961474560434444535000232925,000$
4Layton Ahac (R)0X100.00767091617047484725393961374444505000212925,000$
MOYENNE D’ÉQUIPE99.9674598571705862604853556641494961500
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jiri Patera (R)100.0055425380605853595958304444565000233800,000$
2Dylan Ferguson (R)100.0052405072575651575857304444545000242733,333$
Rayé
1Dustin Wolf (R)100.0061415160676162676564304444615000213825,000$
2Joseph Woll (R)100.0054475983575550575453304444535000241800,000$
MOYENNE D’ÉQUIPE100.005643537460585460595830444456500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme72757266726778CAN493500,000$


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
1John LeonardPhantoms (PHI)LW/RW1011-100010000.00%01616.720110600000000.00%000001.2000000000
2Tyce ThompsonPhantoms (PHI)RW1011100011000.00%01212.530000000000000.00%200001.6000000000
3Jordan HarrisPhantoms (PHI)D1011000010000.00%11414.920000000000000.00%000001.3400000000
4Gemel SmithPhantoms (PHI)C/LW/RW1101-1002220050.00%01616.8310115000010016.831800001.1900000000
5Givani SmithPhantoms (PHI)LW/RW110116011111100.00%01111.850000000000000.00%000001.6900000000
6Jack StudnickaPhantoms (PHI)C/RW1011-100111100.00%01616.4501116000000016.45100001.2200000000
7Ty SmithPhantoms (PHI)D1000-100220110.00%12323.970000500002000.00%000000.00%00000000
8Zachary JonesPhantoms (PHI)D1000000000000.00%02020.870000600002000.00%000000.00%00000000
9Quinton ByfieldPhantoms (PHI)C1000000010030.00%02020.8500005000020020.852000000.00%00000000
10Alex LimogesPhantoms (PHI)C1000100120000.00%01313.4000000000000013.401400000.00%00000000
11Cole BardreauPhantoms (PHI)C1000-100000000.00%088.550000000001008.55700000.00%00000000
12Lane PedersonPhantoms (PHI)C/RW1000-100000000.00%077.200000000000000.00%100000.00%00000000
13Evan BarrattPhantoms (PHI)C/LW1000-100000000.00%077.930000000000000.00%000000.00%00000000
14Thomas HarleyPhantoms (PHI)D1000000010020.00%11919.330000500002000.00%000000.00%00000000
15Mark FriedmanPhantoms (PHI)D1000020211110.00%21919.950001600001000.00%000000.00%00000000
16Nathan BastianPhantoms (PHI)RW1000020145020.00%01919.7000025000020019.70400000.00%00000000
17Taro HirosePhantoms (PHI)LW/RW1000000012040.00%01919.480001500002000.00%300000.00%00000000
18David FarrancePhantoms (PHI)D1000000000000.00%11515.730000000001000.00%000000.00%00000000
19Simon LundmarkPhantoms (PHI)D1000-100010000.00%055.220000000000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne19246-510010201341415.38%629115.341236610000240072.86%7000000.4100000000
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
1Jiri PateraPhantoms (PHI)10100.8243.0060003170000.00%010000
Statistiques d’équipe totales ou en moyenne10100.8243.006000317000010000


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alex LimogesPhantoms (PHI)C251997-09-16No201 Lbs6 ft1NoNoNo2Pro & Farm867,000$843,247$867,000$843,247$0$0$No867,000$Lien
Brandon GignacPhantoms (PHI)C/LW241997-11-07Yes170 Lbs5 ft11YesNoNo2Pro & Farm921,666$896,415$921,666$896,415$0$0$No921,666$Lien
Cole BardreauPhantoms (PHI)C291993-07-22No190 Lbs5 ft10NoNoNo1Pro & Farm700,000$680,822$700,000$680,822$0$0$NoLien
David FarrancePhantoms (PHI)D231999-06-23Yes189 Lbs5 ft11NoNoNo2Pro & Farm1,350,000$1,313,014$1,350,000$1,313,014$0$0$No1,350,000$
Dustin WolfPhantoms (PHI)G212001-04-16Yes168 Lbs6 ft0NoNoNo3Pro & Farm825,000$802,397$825,000$802,397$0$0$No825,000$825,000$Lien
Dylan FergusonPhantoms (PHI)G241998-09-19Yes183 Lbs6 ft2NoNoNo2Pro & Farm733,333$713,242$733,333$713,242$0$0$No733,333$Lien
Evan BarrattPhantoms (PHI)C/LW231999-02-18Yes188 Lbs6 ft0NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Gemel Smith (contrat à 1 volet)Phantoms (PHI)C/LW/RW281994-04-16No203 Lbs5 ft10NoNoNo2Pro & Farm700,000$682,166$700,000$682,166$0$0$No700,000$Lien
Givani SmithPhantoms (PHI)LW/RW241998-02-27No210 Lbs6 ft2NoNoNo3Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$Lien
Jack StudnickaPhantoms (PHI)C/RW231999-02-18No171 Lbs6 ft1NoNoNo1Pro & Farm863,333$839,680$863,333$839,680$0$0$NoLien
Jiri PateraPhantoms (PHI)G231999-02-24Yes209 Lbs6 ft2NoNoNo3Pro & Farm800,000$778,082$800,000$778,082$0$0$No800,000$800,000$Lien
John LeonardPhantoms (PHI)LW/RW241998-08-07Yes183 Lbs5 ft11NoNoNo2Pro & Farm1,137,500$1,106,336$1,137,500$1,106,336$0$0$No1,137,500$Lien
Jordan HarrisPhantoms (PHI)D222000-07-07Yes179 Lbs5 ft11NoNoNo4Pro & Farm1,137,500$1,106,336$1,137,500$1,106,336$0$0$No1,137,500$1,137,500$1,137,500$
Joseph WollPhantoms (PHI)G241998-07-12Yes203 Lbs6 ft4NoNoNo1Pro & Farm800,000$778,082$800,000$778,082$0$0$NoLien
Josiah SlavinPhantoms (PHI)LW231998-12-31Yes190 Lbs6 ft3YesNoNo2Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$Lien
Lane PedersonPhantoms (PHI)C/RW251997-08-04No190 Lbs6 ft0NoNoNo1Pro & Farm690,000$671,096$690,000$671,096$0$0$NoLien
Layton AhacPhantoms (PHI)D212001-02-22Yes187 Lbs6 ft2NoNoNo2Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$Lien
Mark FriedmanPhantoms (PHI)D261995-12-25No185 Lbs5 ft11NoNoNo2Pro & Farm775,000$753,767$775,000$753,767$0$0$No775,000$Lien
Nathan BastianPhantoms (PHI)RW241997-12-06No205 Lbs6 ft4NoNoNo1Pro & Farm905,000$880,205$905,000$880,205$0$0$NoLien
Quinton ByfieldPhantoms (PHI)C202002-08-19Yes215 Lbs6 ft4NoNoNo2Pro & Farm3,544,167$3,447,067$3,544,167$3,447,067$0$0$No3,544,167$Lien
Simon LundmarkPhantoms (PHI)D212000-10-08Yes201 Lbs6 ft2NoNoNo3Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$925,000$
Stelio MattheosPhantoms (PHI)C/RW231999-06-14Yes196 Lbs6 ft1NoNoNo2Pro & Farm925,000$899,658$925,000$899,658$0$0$No925,000$Lien
Taro HirosePhantoms (PHI)LW/RW261996-06-30No162 Lbs5 ft10NoNoNo2Pro & Farm850,000$826,712$850,000$826,712$0$0$No850,000$Lien
Thomas HarleyPhantoms (PHI)D212001-08-18Yes190 Lbs6 ft3NoNoNo2Pro & Farm1,288,333$1,253,036$1,288,333$1,253,036$0$0$No1,288,333$Lien
Ty SmithPhantoms (PHI)D222000-03-23No175 Lbs5 ft11NoNoNo1Pro & Farm1,263,333$1,228,721$1,263,333$1,228,721$0$0$NoLien
Tyce ThompsonPhantoms (PHI)RW231999-07-11Yes178 Lbs6 ft1YesNoNo1Pro & Farm1,125,000$1,094,178$1,125,000$1,094,178$0$0$NoLien
Zachary JonesPhantoms (PHI)D212000-10-18Yes172 Lbs5 ft10NoNoNo1Pro & Farm925,000$899,658$925,000$899,658$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2723.44189 Lbs6 ft11.891,021,339$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Taro HiroseQuinton ByfieldNathan Bastian35122
2John LeonardGemel SmithJack Studnicka30122
3Givani SmithAlex LimogesTyce Thompson25122
4Evan BarrattCole BardreauLane Pederson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty SmithThomas Harley35122
2Mark FriedmanZachary Jones30122
3Jordan HarrisDavid Farrance25122
4Simon LundmarkTy Smith10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Taro HiroseQuinton ByfieldNathan Bastian50122
2John LeonardGemel SmithJack Studnicka50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty SmithThomas Harley50122
2Mark FriedmanZachary Jones50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nathan BastianQuinton Byfield50122
2Taro HiroseGemel Smith50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty SmithThomas Harley50122
2Mark FriedmanZachary Jones50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nathan Bastian60122Ty SmithThomas Harley60122
2Quinton Byfield40122Mark FriedmanZachary Jones40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nathan BastianQuinton Byfield60122
2Taro HiroseGemel Smith40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty SmithThomas Harley60122
2Mark FriedmanZachary Jones40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Taro HiroseQuinton ByfieldNathan BastianTy SmithThomas Harley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Taro HiroseQuinton ByfieldNathan BastianTy SmithThomas Harley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Limoges, Lane Pederson, Cole BardreauAlex Limoges, Lane PedersonCole Bardreau
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jordan Harris, David Farrance, Simon LundmarkJordan HarrisDavid Farrance, Simon Lundmark
Tirs de pénalité
Nathan Bastian, Quinton Byfield, Taro Hirose, Gemel Smith, John Leonard
Gardien
#1 : Jiri Patera, #2 : Dylan Ferguson
Lignes d’attaque personnalisées en prolongation
Nathan Bastian, Quinton Byfield, Taro Hirose, Gemel Smith, John Leonard, Jack Studnicka, Jack Studnicka, Lane Pederson, Cole Bardreau, Tyce Thompson, Givani Smith
Lignes de défense personnalisées en prolongation
Ty Smith, Thomas Harley, Mark Friedman, Zachary Jones, Jordan Harris


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
1Bruins1010000023-11010000023-10000000000000.00024600200013913017610108112.50%5180.00%0232979.31%202774.07%81457.14%2315238126
Total1010000023-11010000023-10000000000000.00024600200013913017610108112.50%5180.00%0232979.31%202774.07%81457.14%2315238126
_Since Last GM Reset1010000023-11010000023-10000000000000.00024600200013913017610108112.50%5180.00%0232979.31%202774.07%81457.14%2315238126
_Vs Conference1010000023-11010000023-10000000000000.00024600200013913017610108112.50%5180.00%0232979.31%202774.07%81457.14%2315238126

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
10L124613176101000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
101000023
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000023
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
010000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
8112.50%5180.00%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
91302000
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
232979.31%202774.07%81457.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2315238126


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
4 - 2022-10-1213Bruins3Phantoms2BLSommaire du match
6 - 2022-10-1418Phantoms-Penguins-
7 - 2022-10-1532Flames-Phantoms-
9 - 2022-10-1744Phantoms-Flames-
10 - 2022-10-1852Bruins-Phantoms-
13 - 2022-10-2170Bruins-Phantoms-
14 - 2022-10-2280Phantoms-Wolf Pack-
16 - 2022-10-2491Senators-Phantoms-
18 - 2022-10-26103Phantoms-Monsters-
20 - 2022-10-28112Rocket-Phantoms-
22 - 2022-10-30123Phantoms-Condors-
23 - 2022-10-31135Phantoms-Penguins-
24 - 2022-11-01139Phantoms-Monarchs-
25 - 2022-11-02150Crunch-Phantoms-
28 - 2022-11-05162Penguins-Phantoms-
29 - 2022-11-06172Phantoms-Rocket-
31 - 2022-11-08184Monsters-Phantoms-
34 - 2022-11-11195Phantoms-Flames-
36 - 2022-11-13202Phantoms-IceHogs-
38 - 2022-11-15211Crunch-Phantoms-
41 - 2022-11-18223Phantoms-Penguins-
42 - 2022-11-19233Bruins-Phantoms-
44 - 2022-11-21241Phantoms-Condors-
46 - 2022-11-23252Phantoms-Marlies-
47 - 2022-11-24262Flames-Phantoms-
49 - 2022-11-26272Phantoms-Sound Tigers-
51 - 2022-11-28283Griffins-Phantoms-
52 - 2022-11-29298Monsters-Phantoms-
54 - 2022-12-01312Phantoms-Marlies-
56 - 2022-12-03320Phantoms-Soldiers-
57 - 2022-12-04328Griffins-Phantoms-
58 - 2022-12-05334Phantoms-Monsters-
61 - 2022-12-08352Crunch-Phantoms-
64 - 2022-12-11365Flames-Phantoms-
66 - 2022-12-13374Phantoms-Wolf Pack-
67 - 2022-12-14384Flames-Phantoms-
69 - 2022-12-16402Wolf Pack-Phantoms-
71 - 2022-12-18409Phantoms-Griffins-
74 - 2022-12-21423Griffins-Phantoms-
75 - 2022-12-22430Phantoms-Flames-
77 - 2022-12-24445Wolf Pack-Phantoms-
78 - 2022-12-25452Phantoms-Soldiers-
80 - 2022-12-27461Phantoms-Crunch-
82 - 2022-12-29473Phantoms-Senators-
83 - 2022-12-30479Rocket-Phantoms-
85 - 2023-01-01492Phantoms-Monarchs-
88 - 2023-01-04504IceHogs-Phantoms-
90 - 2023-01-06516Stars-Phantoms-
92 - 2023-01-08527Phantoms-Stars-
93 - 2023-01-09535Phantoms-Moose-
95 - 2023-01-11546Wolves-Phantoms-
99 - 2023-01-15557Phantoms-Griffins-
100 - 2023-01-16569Rampage-Phantoms-
103 - 2023-01-19581Phantoms-Sound Tigers-
105 - 2023-01-21588Penguins-Phantoms-
107 - 2023-01-23599Phantoms-Monsters-
108 - 2023-01-24609Soldiers-Phantoms-
110 - 2023-01-26622Phantoms-Sharks-
113 - 2023-01-29633Marlies-Phantoms-
115 - 2023-01-31644Phantoms-Penguins-
117 - 2023-02-02650Phantoms-Bruins-
118 - 2023-02-03660Rocket-Phantoms-
121 - 2023-02-06673Phantoms-Bruins-
122 - 2023-02-07681Rocket-Phantoms-
125 - 2023-02-10690Phantoms-IceHogs-
126 - 2023-02-11702Bruins-Phantoms-
130 - 2023-02-15719Phantoms-Wolf Pack-
131 - 2023-02-16726Bruins-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
135 - 2023-02-20745Admirals-Phantoms-
140 - 2023-02-25761Senators-Phantoms-
141 - 2023-02-26768Phantoms-Condors-
144 - 2023-03-01783Senators-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance1,714951
Assistance PCT85.70%95.10%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 2665 - 88.83% 81,681$81,681$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
87,332$ 2,687,616$ 2,687,616$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 73,632$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,858,835$ 142 21,833$ 3,100,286$




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