Connexion

Comets
GP: 4 | W: 1 | L: 2 | OTL: 1 | P: 3
GF: 5 | GA: 12 | PP%: 18.18% | PK%: 53.85%
DG: Tyler Briem | Morale : 47 | Moyenne d’équipe : 57
Prochains matchs #79 vs IceHogs
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Centre de jeu
Bruins
1-2-1, 3pts
1
FINAL
2 Comets
1-2-1, 3pts
Team Stats
W1SéquenceOTL1
0-1-1Fiche domicile1-1-0
1-1-0Fiche domicile0-1-1
1-2-1Derniers 10 matchs1-2-1
1.75Buts par match 1.25
2.25Buts contre par match 3.00
37.50%Pourcentage en avantage numérique18.18%
50.00%Pourcentage en désavantage numérique53.85%
Comets
1-2-1, 3pts
0
FINAL
1 Barracuda
4-0-1, 9pts
Team Stats
OTL1SéquenceW1
1-1-0Fiche domicile2-0-0
0-1-1Fiche domicile2-0-1
1-2-1Derniers 10 matchs4-0-1
1.25Buts par match 2.20
3.00Buts contre par match 0.80
18.18%Pourcentage en avantage numérique7.69%
53.85%Pourcentage en désavantage numérique91.67%
IceHogs
2-1-2, 6pts
Jour 7
Comets
1-2-1, 3pts
Statistiques d’équipe
SOL1SéquenceOTL1
0-1-2Fiche domicile1-1-0
2-0-0Fiche visiteur0-1-1
2-1-210 derniers matchs1-2-1
2.00Buts par match 1.25
2.20Buts contre par match 1.25
42.86%Pourcentage en avantage numérique18.18%
83.33%Pourcentage en désavantage numérique53.85%
Comets
1-2-1, 3pts
Jour 9
Rocket
3-1-1, 7pts
Statistiques d’équipe
OTL1SéquenceW2
1-1-0Fiche domicile1-0-1
0-1-1Fiche visiteur2-1-0
1-2-110 derniers matchs3-1-1
1.25Buts par match 1.20
3.00Buts contre par match 1.20
18.18%Pourcentage en avantage numérique20.00%
53.85%Pourcentage en désavantage numérique50.00%
Monsters
1-1-2, 4pts
Jour 10
Comets
1-2-1, 3pts
Statistiques d’équipe
L1SéquenceOTL1
0-0-2Fiche domicile1-1-0
1-1-0Fiche visiteur0-1-1
1-1-210 derniers matchs1-2-1
2.00Buts par match 1.25
3.00Buts contre par match 1.25
14.29%Pourcentage en avantage numérique18.18%
60.00%Pourcentage en désavantage numérique53.85%
Meneurs d'équipe
Buts
Jakob Pelletier
2
Passes
Josh Bloom
2
Points
Josh Bloom
2
Plus/Moins
Chris Wilkie
1
Philipp GrubauerVictoires
Philipp Grubauer
1
Philipp GrubauerPourcentage d’arrêts
Philipp Grubauer
0.846

Statistiques d’équipe
Buts pour
5
1.25 GFG
Tirs pour
88
22.00 Avg
Pourcentage en avantage numérique
18.2%
2 GF
Début de zone offensive
32.6%
Buts contre
12
3.00 GAA
Tirs contre
89
22.25 Avg
Pourcentage en désavantage numérique
53.8%%
6 GA
Début de la zone défensive
39.9%
Informations de l'équipe

Directeur généralTyler Briem
EntraîneurKevin Dineen
DivisionDivision 2
ConférenceConference 1
CapitaineDavid Gustafsson
Assistant #1Jakob Pelletier
Assistant #2Matthew Robertson


Informations de l’aréna

Capacité3,000
Assistance2,098
Billets de saison1,500


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 100
Espoirs164


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
1Jakob Pelletier (A)X99.0075429376615986613870666825555569496402431,488,000$
2Hugh McGingX100.0066627666627984605057605955454560485902721,100,000$
3Chris WilkieX100.0079709980703833595057566553444461475802911,000,000$
4Jayden GrubbeX100.0077767964767177506350456243454554465602231,268,000$
5Josh BloomX100.0078699980693531565063456342454556505602231,271,000$
6Eetu LiukasX100.0078778063775050505045506248454554495402331,095,000$
7Matthew MaggioX100.007367866567525352504950604844445649540232820,000$
8Trevor KuntarX100.0070736263736671496147465744454552495402431,093,000$
9Alex BeaucageX100.0077728862724139505047476245444453525202431,315,000$
10Ethan SamsonX100.0079778366787784532540536449454558486102231,227,000$
11Matthew Robertson (R) (A)X100.0078807470807379522550416337454554456102431,402,000$
12Samuel Johannesson (R)X100.0075669667677783532550416239454555486002431,372,000$
13Donovan Sebrango (R)X100.0074815668826467542543516148454556485902331,356,000$
14Jack RathboneX100.0069667665667278522545455840454552485802621,232,000$
15Anton Johansson (R)X100.0080749362743734532552396337444453485502131,279,000$
16Ethan Edwards (R)X100.0071717261715050512549395937444451485402331,341,000$
17Layton AhacX100.007272728072333242252940573745444648530242988,000$
18Peter DiLiberatoreX100.007368846168393843252843584144444948510252990,000$
Rayé
1David Gustafsson (C)XXX97.5965569378745257646961586925606162416202521,333,000$
2Fabian Wagner (R)X97.7173659064666873526445576051454556395602131,277,000$
MOYENNE D’ÉQUIPE99.72746983687157605341494962424646554757
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
1Philipp Grubauer100.006259607265587064656285687163476403422,000,000$
2Vitek Vanecek100.006155567265576964656195626363546202931,600,000$
Rayé
MOYENNE D’ÉQUIPE100.0062575872655870646562906567635163
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Dineen60606060606060CAN5311,250,000$


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
1Josh BloomComets (NJD)LW4022055239660%06917.3801105000030058.62%2913000.5800001000
2Fabian WagnerComets (NJD)C4112-1003533133.33%15614.0500012000010157.14%2101000.7100000001
3Jakob PelletierComets (NJD)LW4202-120561291016.67%79523.84000410000161036.36%2261000.4200000010
4Jayden GrubbeComets (NJD)C4011-21210766230%17719.4301107000120036.36%4420000.2600011000
5Eetu LiukasComets (NJD)LW4011000331050%06015.000000000004000%221000.3300000000
6Dylan CoghlanDevilsD1101-1000031133.33%12020.221012400000000%010000.9900000000
7Trevor KuntarComets (NJD)C4011020334020%05012.7500001000000044.44%931000.3900000000
8Hugh McGingComets (NJD)LW4101-2203314757.14%07819.521015800001000%041000.2600000000
9Chris WilkieComets (NJD)RW2011100113020%03316.9600001000000040.74%2710000.5900000000
10David GustafssonComets (NJD)C/LW/RW2000055033320%02412.0000003000010077.78%181000000100000
11Jack RathboneComets (NJD)D4000-200131110%15814.550000800008000%10000000000000
12Ethan SamsonComets (NJD)D4000055143200%15313.480000000000000%00000000001000
13Samuel JohannessonComets (NJD)D4000-200181000%28020.050001700003000%02000000000000
14Matthew MaggioComets (NJD)RW4000120774250%07919.90000010000010050.00%41000000000000
15Alex BeaucageComets (NJD)RW4000-210103710170%17218.17000280000000100.00%10100000101000
16Anton JohanssonComets (NJD)D3000000000000%010.590000000000000%00000000000000
17Matthew RobertsonComets (NJD)D40000155685530%710526.3500011100016000%03100000010000
18Ethan EdwardsComets (NJD)D4000000151100%15112.920000000002000%00000000000000
19Donovan SebrangoComets (NJD)D4000-240254310%17719.400000700002000%02000000000000
20Layton AhacComets (NJD)D4000020121000%34611.600000000000000%00100000000000
Statistiques d’équipe totales ou en moyenne725712-13664050828846545.68%27119316.58224161000003501147.75%1782911000.2000224011
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
1Philipp GrubauerComets (NJD)41210.8463.0619600106540000040100
2Vitek VanecekComets (NJD)20000.9172.67450022415000004000
Statistiques d’équipe totales ou en moyenne61210.8652.982420012895500044100


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
Alex BeaucageComets (NJD)RW242001-07-25QUENo192 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,315,000$1,244,554$0$0$No1,315,000$1,315,000$-------1,315,000$1,315,000$-------NoNo-------Lien
Anton JohanssonComets (NJD)D212004-06-10SWEYes196 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,279,000$1,210,482$0$0$No1,279,000$1,279,000$-------1,279,000$1,279,000$-------NoNo-------Lien
Chris WilkieComets (NJD)RW291996-07-10USANo190 Lbs6 ft0NoNoAssign ManuallyNoNo12025-12-16FalseFalsePro & Farm1,000,000$946,429$0$0$No---------------------------Lien
David GustafssonComets (NJD)C/LW/RW252000-04-11SWENo196 Lbs6 ft2NoNoTrade2024-09-03NoNo2FalseFalsePro & Farm1,333,000$1,261,589$0$0$No1,333,000$--------1,333,000$--------No--------Lien
Donovan SebrangoComets (NJD)D232002-01-12CANYes221 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,356,000$1,283,357$0$0$No1,356,000$1,356,000$-------1,356,000$1,356,000$-------NoNo-------Lien
Eetu LiukasComets (NJD)LW232002-09-25FINNo205 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,095,000$1,036,339$0$0$No1,095,000$1,095,000$-------1,095,000$1,095,000$-------NoNo-------Lien
Ethan EdwardsComets (NJD)D232002-06-06CANYes195 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,341,000$1,269,161$0$0$No1,341,000$1,341,000$-------1,341,000$1,341,000$-------NoNo-------Lien
Ethan SamsonComets (NJD)D222003-08-23CANNo205 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,227,000$1,161,268$0$0$No1,227,000$1,227,000$-------1,227,000$1,227,000$-------NoNo-------Lien
Fabian WagnerComets (NJD)C212004-05-07SWEYes176 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,277,000$1,208,589$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Hugh McGingComets (NJD)LW271998-07-11USANo172 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,100,000$1,041,071$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Jack RathboneComets (NJD)D261999-05-20USANo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,232,000$1,166,000$0$0$No1,232,000$--------1,232,000$--------No--------Lien
Jakob PelletierComets (NJD)LW242001-03-07CANNo170 Lbs5 ft9NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,488,000$1,408,286$0$0$No1,488,000$1,488,000$-------1,488,000$1,488,000$-------NoNo-------Lien
Jayden GrubbeComets (NJD)C222003-01-12CANNo200 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,268,000$1,200,071$0$0$No1,268,000$1,268,000$-------1,268,000$1,268,000$-------NoNo-------Lien
Josh BloomComets (NJD)LW222003-06-08ONTNo182 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,271,000$1,202,911$0$0$No1,271,000$1,271,000$-------1,271,000$1,271,000$-------NoNo-------Lien
Layton AhacComets (NJD)D242001-02-22BCNo190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm988,000$935,071$0$0$No988,000$--------988,000$--------No--------Lien
Matthew MaggioComets (NJD)RW232002-11-25ONTNo187 Lbs5 ft11NoNoProspectNoNo22024-09-17FalseFalsePro & Farm820,000$776,071$0$0$No820,000$--------820,000$--------No--------Lien
Matthew RobertsonComets (NJD)D242001-03-09CANYes211 Lbs6 ft4NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,402,000$1,326,893$0$0$No1,402,000$1,402,000$-------1,402,000$1,402,000$-------NoNo-------Lien
Peter DiLiberatoreComets (NJD)D252000-03-31NSNo185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm990,000$936,964$0$0$No990,000$--------990,000$--------No--------Lien
Philipp GrubauerComets (NJD)G341991-11-25GERNo188 Lbs6 ft1NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm2,000,000$1,892,857$0$0$No2,000,000$--------2,000,000$--------No--------Lien / Lien NHL
Samuel JohannessonComets (NJD)D242000-12-27SWEYes181 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,372,000$1,298,500$0$0$No1,372,000$1,372,000$-------1,372,000$1,372,000$-------NoNo-------Lien
Trevor KuntarComets (NJD)C242001-06-20USANo201 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,093,000$1,034,446$0$0$No1,093,000$1,093,000$-------1,093,000$1,093,000$-------NoNo-------Lien
Vitek VanecekComets (NJD)G291996-01-09CZENo184 Lbs6 ft2NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm1,600,000$1,514,286$0$0$No1,600,000$1,600,000$-------1,600,000$1,600,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2224.50191 Lbs6 ft12.591,265,773$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakob PelletierChris WilkieMatthew Maggio40122
2Hugh McGingJayden GrubbeAlex Beaucage30122
3Josh BloomJakob Pelletier20122
4Eetu LiukasTrevor KuntarJakob Pelletier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew RobertsonEthan Samson40122
2Samuel JohannessonDonovan Sebrango30122
3Jack RathboneMatthew Robertson20122
4Ethan EdwardsLayton Ahac10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jakob PelletierJosh BloomMatthew Maggio60122
2Hugh McGingJayden GrubbeAlex Beaucage40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew RobertsonJack Rathbone60122
2Samuel JohannessonDonovan Sebrango40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jakob PelletierMatthew Maggio60122
2Hugh McGingJayden Grubbe40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew RobertsonJack Rathbone60122
2Samuel JohannessonDonovan Sebrango40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jakob Pelletier60122Matthew RobertsonEthan Edwards60122
2Hugh McGing40122Samuel JohannessonDonovan Sebrango40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jakob PelletierJosh Bloom60122
2Hugh McGingJayden Grubbe40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew RobertsonEthan Edwards60122
2Samuel JohannessonDonovan Sebrango40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob PelletierHugh McGingMatthew MaggioMatthew RobertsonEthan Samson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jakob PelletierHugh McGingMatthew MaggioMatthew RobertsonEthan Samson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Bloom, , Eetu LiukasJosh Bloom, Eetu Liukas
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Rathbone, Matthew Robertson, Ethan EdwardsJack RathboneMatthew Robertson, Ethan Edwards
Tirs de pénalité
Jakob Pelletier, , Hugh McGing, Jayden Grubbe, Josh Bloom
Gardien
#1 : Philipp Grubauer, #2 : Vitek Vanecek


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
1Barracuda1000010001-1000000000001000010001-110.5000000002301422214141051613400.00%30100.00%0265844.83%307142.25%294959.18%662879479643
2Bruins11000000211110000002110000000000021.000235000230192221414278212000%110.00%0265844.83%307142.25%294959.18%662879479643
3Senators1010000016-5000000000001010000016-500.00012300023027222141436103011300.00%5340.00%0265844.83%307142.25%294959.18%662879479643
4Wolves1010000024-21010000024-20000000000000.00022400023028222141416418144250.00%4250.00%0265844.83%307142.25%294959.18%662879479643
Total41200100512-72110000045-12010010017-630.37557120002308822214148927665011218.18%13653.85%0265844.83%307142.25%294959.18%662879479643
_Since Last GM Reset41200100512-72110000045-12010010017-630.37557120002308822214148927665011218.18%13653.85%0265844.83%307142.25%294959.18%662879479643
_Vs Conference41200100512-72110000045-12010010017-630.37557120002308822214148927665011218.18%13653.85%0265844.83%307142.25%294959.18%662879479643

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
43OTL15712888927665000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4120100512
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000045
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
201010017
Derniers 10 matchs
WLOTWOTL SOWSOL
120100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
11218.18%13653.85%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
22214140230
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
265844.83%307142.25%294959.18%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
662879479643


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
211Wolves4Comets2LSommaire du match
333Comets1Senators6LSommaire du match
444Bruins1Comets2WSommaire du match
662Comets0Barracuda1LXSommaire du match
779IceHogs-Comets-
993Comets-Rocket-
10103Monsters-Comets-
11125Americans-Comets-
12143Comets-Heat-
14158Wolves-Comets-
15167Comets-Wolves-
16183Comets-Griffins-
17198Comets-Reign-
18209Senators-Comets-
19229Comets-Moose-
20240Barracuda-Comets-
22258Monsters-Comets-
23273Comets-Barracuda-
24288Comets-Reign-
26301Eagles-Comets-
27318Comets-Marlies-
28330Bears-Comets-
29348Comets-Gulls-
30363Barracuda-Comets-
31379Comets-Penguins-
32392Comets-Stars-
33401Thunderbirds-Comets-
35422Penguins-Comets-
36441Comets-Silver Knights-
37454Silver Knights-Comets-
38470Comets-Griffins-
40485Wild-Comets-
41502Comets-Wild-
42518Americans-Comets-
43532Comets-Wolves-
44548Wolves-Comets-
45558Comets-Canucks-
46576Comets-Americans-
47590Gulls-Comets-
48608Comets-Barracuda-
49617Americans-Comets-
50639Admirals-Comets-
51651Comets-Condors-
52667Comets-Thunderbirds-
53679Marlies-Comets-
54696Comets-Admirals-
55710Crunch-Comets-
57732Griffins-Comets-
59753Reign-Comets-
60766Comets-Bruins-
61778Comets-Moose-
63794Moose-Comets-
64809Comets-Checkers-
65828Checkers-Comets-
67844Comets-Monsters-
68855Comets-Islanders-
69867IceHogs-Comets-
70887Comets-Roadrunners-
71898Stars-Comets-
73913Comets-Bears-
74925Senators-Comets-
75946Roadrunners-Comets-
77963Comets-Crunch-
79977Comets-IceHogs-
80988Phantoms-Comets-
811009Bruins-Comets-
821024Comets-Eagles-
841042Rocket-Comets-
851049Comets-Wolf Pack-
861072Canucks-Comets-
881093Comets-IceHogs-
891101Islanders-Comets-
901118Comets-Phantoms-
921137Rocket-Comets-
931155Comets-Rocket-
941166Condors-Comets-
961188Wolf Pack-Comets-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971194Comets-Monsters-
981200Comets-Heat-
1001229IceHogs-Comets-
1011235Comets-Rocket-
1031258Comets-Senators-
1041266Canucks-Comets-
1051284Comets-Senators-
1071299Heat-Comets-
1101321Monsters-Comets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance2,7671,429
Assistance PCT69.18%71.45%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 2098 - 69.93% 88,119$176,237$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
226,945$ 2,784,700$ 2,784,700$ 1,250,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
24,863$ 159,979$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,612,858$ 106 36,024$ 3,818,544$




Comets 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

Comets 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

Comets 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

Comets 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

Comets 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