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Comets
GP: 1 | W: 0 | L: 1
GF: 0 | GA: 1 | PP%: 0.00% | PK%: 100.00%
DG: Tyler Briem | Morale : 75 | Moyenne d’équipe : 58
Prochains matchs #12 vs Barracuda

Centre de jeu
Comets
0-1-0, 0pts
0
1 Barracuda
1-0-0, 2pts
Team Stats
L1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche domicile0-0-0
0-1-0Derniers 10 matchs1-0-0
0.00Buts par match 1.00
1.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
Comets
0-1-0, 0pts
Jour 3
Barracuda
1-0-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche visiteur0-0-0
0-1-010 derniers matchs1-0-0
0.00Buts par match 1.00
1.00Buts contre par match 1.00
0.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
Barracuda
1-0-0, 2pts
Jour 5
Comets
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-1-0
1.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
Barracuda
1-0-0, 2pts
Jour 7
Comets
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-1-0
1.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
David Gustafsson
0
Passes
David Gustafsson
0
Points
David Gustafsson
0
Plus/Moins
David Gustafsson
0

Statistiques d’équipe
Buts pour
0
0.00 GFG
Tirs pour
2
2.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
22.9%
Buts contre
1
1.00 GAA
Tirs contre
25
25.00 Avg
Pourcentage en désavantage numérique
100.0%%
0 GA
Début de la zone défensive
57.1%
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
Assistance
Billets de saison1,500


Informations de la formation

Équipe Pro24
Équipe Mineure18
Limite contact 42 / 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)X99.0075429477625986613871676525585866866502531,488,000$
2Clark BishopX100.0076728670728287647959656460515264876403011,000,000$
3David Gustafsson (C)XXX100.0065569478745257646962606725626359526202621,333,000$
4Hugh McGingX100.0067627666627984615059625755474758906002721,100,000$
5Chris WilkieX99.0078709980703833595057576453464659825802911,000,000$
6Jayden GrubbeX100.0077767966787177516350476043474752905702331,268,000$
7Josh BloomX100.0077699982713531545062456242474654595602331,271,000$
8Fabian Wagner (R)X100.0072659266686873516445555751474754845602231,277,000$
9Dalton BancroftX100.0082779981783532485036566455464657825502511,000,000$
10Matthew MaggioX100.007267876769525349504748584847475381540232820,000$
11Trevor KuntarX100.0070736365756671476146445644474750775402431,093,000$
12Dylan CoghlanX100.0076768473776060612549576654606060836302832,500,000$
13Ethan SamsonX100.0079778367797784532540536249474756916202231,227,000$
14Matthew Robertson (R) (A)X100.0078807272827379542551446237474752896202531,402,000$
15Samuel Johannesson (R)X100.0074669767677783532549426039474753876002531,372,000$
16Donovan Sebrango (R)X100.0074815670846467542542526048474754906002431,356,000$
17Jack RathboneX100.0068667766677278532546475640474750855802721,232,000$
18Anton Johansson (R)X100.0078749464763734522550386137464651855502231,279,000$
19Ethan Edwards (R)X100.0070717363735050502547385637474748855502431,341,000$
Rayé
1Eetu LiukasX100.0078778165795050505045516248464652445402331,095,000$
2Alex BeaucageX100.0077728863734139495047466145454552245202431,315,000$
3Peter DiLiberatoreX100.007368846168393843252843584144444924510262990,000$
MOYENNE D’ÉQUIPE99.91747084707358615443495161444949557558
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 Grubauer100.006259607265587068696285717460936503422,000,000$
2Vitek Vanecek100.006155567265566763646195636362916203031,600,000$
Rayé
MOYENNE D’ÉQUIPE100.0062575872655769666762906769619264
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
1David GustafssonComets (NJD)C/LW/RW1000000010000%01515.52000000000200100.00%11100000000000
2Jack RathboneComets (NJD)D1000000000000%21818.880000200003000%00100000000000
3Jayden GrubbeComets (NJD)C1000000010000%01818.8700002000000060.00%51000000000000
4Josh BloomComets (NJD)LW1000000210000%01111.080000000001000%01000000000000
5Ethan SamsonComets (NJD)D1000055010000%01717.220000000000000%00000000001000
6Samuel JohannessonComets (NJD)D1000-100000000%12222.050000100002000%00200000000000
7Dylan CoghlanComets (NJD)D1000000000000%011.930000000000000%00000000000000
8Matthew MaggioComets (NJD)RW1000000100000%01111.600000000000000%00000000000000
9Fabian WagnerComets (NJD)C1000-100110000%11818.02000020000000100.00%50000000000000
10Trevor KuntarComets (NJD)C1000000200000%066.3800000000000050.00%20000000000000
11Clark BishopComets (NJD)C1000000150000%02222.1500001000010053.85%130000000000000
12Anton JohanssonComets (NJD)D1000000000000%000.370000000000000%00000000000000
13Matthew RobertsonComets (NJD)D1000040000000%32525.450000200002000%02000000000000
14Jakob PelletierComets (NJD)LW1000000010000%02121.4800001000030057.14%70000000000000
15Hugh McGingComets (NJD)LW1000-100211100%02222.220000100002000%10000000000000
16Ethan EdwardsComets (NJD)D1000020020000%01414.930000000001000%00000000000000
17Donovan SebrangoComets (NJD)D1000-120200000%12121.170000100002000%00100000000000
18Dalton BancroftComets (NJD)RW1000-100000000%022.800000000000000%00000000000000
19Chris WilkieComets (NJD)RW1000000031010%12121.020000100002000%10000000000000
Statistiques d’équipe totales ou en moyenne19000-513511172110.00%929315.430000190000270060.00%3555000.0000001000
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)10100.9601.02590012518000010100
Statistiques d’équipe totales ou en moyenne10100.9601.0259001251800010100


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$1,221,071$0$0$No1,315,000$1,315,000$-------1,315,000$1,315,000$-------NoNo-------Lien
Anton JohanssonComets (NJD)D222004-06-10SWEYes196 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,279,000$1,187,643$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$928,571$0$0$No---------------------------Lien
Clark BishopComets (NJD)C301996-03-29CANNo197 Lbs6 ft1NoNoAssign ManuallyNoNo12026-02-04FalseFalsePro & Farm1,000,000$928,571$0$0$No---------------------------Lien / Lien NHL
Dalton BancroftComets (NJD)RW252001-02-26ONNo207 Lbs6 ft3NoNoAssign ManuallyNoNo12026-02-04FalseFalsePro & Farm1,000,000$928,571$0$0$No---------------------------Lien
David GustafssonComets (NJD)C/LW/RW262000-04-11SWENo196 Lbs6 ft2NoNoTrade2024-09-03NoNo2FalseFalsePro & Farm1,333,000$1,237,786$0$0$No1,333,000$--------1,333,000$--------No--------Lien
Donovan SebrangoComets (NJD)D242002-01-12CANYes221 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,356,000$1,259,143$0$0$No1,356,000$1,356,000$-------1,356,000$1,356,000$-------NoNo-------Lien
Dylan CoghlanComets (NJD)D281998-02-19CANNo208 Lbs6 ft2NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,500,000$2,321,429$0$0$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------NoNo-------Lien / Lien NHL
Eetu LiukasComets (NJD)LW232002-09-25FINNo205 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,095,000$1,016,786$0$0$No1,095,000$1,095,000$-------1,095,000$1,095,000$-------NoNo-------Lien
Ethan EdwardsComets (NJD)D242002-06-06CANYes195 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,341,000$1,245,214$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$1,139,357$0$0$No1,227,000$1,227,000$-------1,227,000$1,227,000$-------NoNo-------Lien
Fabian WagnerComets (NJD)C222004-05-07SWEYes176 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,277,000$1,185,786$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$1,021,429$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Jack RathboneComets (NJD)D271999-05-20USANo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,232,000$1,144,000$0$0$No1,232,000$--------1,232,000$--------No--------Lien
Jakob PelletierComets (NJD)LW252001-03-07CANNo170 Lbs5 ft9NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,488,000$1,381,714$0$0$No1,488,000$1,488,000$-------1,488,000$1,488,000$-------NoNo-------Lien
Jayden GrubbeComets (NJD)C232003-01-12CANNo200 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,268,000$1,177,429$0$0$No1,268,000$1,268,000$-------1,268,000$1,268,000$-------NoNo-------Lien
Josh BloomComets (NJD)LW232003-06-08ONTNo182 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,271,000$1,180,214$0$0$No1,271,000$1,271,000$-------1,271,000$1,271,000$-------NoNo-------Lien
Matthew MaggioComets (NJD)RW232002-11-25ONTNo187 Lbs5 ft11NoNoProspectNoNo22024-09-17FalseFalsePro & Farm820,000$761,429$0$0$No820,000$--------820,000$--------No--------Lien
Matthew RobertsonComets (NJD)D252001-03-09CANYes211 Lbs6 ft4NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,402,000$1,301,857$0$0$No1,402,000$1,402,000$-------1,402,000$1,402,000$-------NoNo-------Lien
Peter DiLiberatoreComets (NJD)D262000-03-31NSNo185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm990,000$919,286$0$0$No990,000$--------990,000$--------No--------Lien
Philipp GrubauerComets (NJD)G341991-11-25GERNo188 Lbs6 ft1NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm2,000,000$1,857,143$0$0$No2,000,000$--------2,000,000$--------No--------Lien / Lien NHL
Samuel JohannessonComets (NJD)D252000-12-27SWEYes181 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,372,000$1,274,000$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$1,014,929$0$0$No1,093,000$1,093,000$-------1,093,000$1,093,000$-------NoNo-------Lien
Vitek VanecekComets (NJD)G301996-01-09CZENo184 Lbs6 ft2NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm1,600,000$1,485,714$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
2425.46193 Lbs6 ft12.501,306,625$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jayden GrubbeClark BishopJakob Pelletier40122
2Hugh McGingFabian WagnerChris Wilkie30122
3Hugh McGingClark BishopChris Wilkie20122
4Jakob PelletierClark BishopHugh McGing10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew RobertsonEthan Samson40122
2Samuel JohannessonDonovan Sebrango30122
3Jack RathboneMatthew Robertson20122
4Ethan EdwardsMatthew Robertson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Fabian WagnerJayden GrubbeClark Bishop60122
2Hugh McGingJakob PelletierChris Wilkie40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew RobertsonJack Rathbone60122
2Samuel JohannessonDonovan Sebrango40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jakob PelletierChris Wilkie60122
2Hugh McGingClark Bishop40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew RobertsonJack Rathbone60122
2Samuel JohannessonDonovan Sebrango40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Clark Bishop60122Matthew RobertsonEthan Edwards60122
2Hugh McGing40122Samuel JohannessonDonovan Sebrango40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Chris WilkieJayden Grubbe60122
2Hugh McGingClark Bishop40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matthew RobertsonEthan Edwards60122
2Samuel JohannessonDonovan Sebrango40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris WilkieHugh McGingClark BishopMatthew RobertsonEthan Samson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris WilkieHugh McGingClark BishopMatthew RobertsonEthan Samson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Hugh McGing, Clark Bishop, Chris WilkieHugh McGing, Clark BishopHugh McGing
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Rathbone, Matthew Robertson, Ethan EdwardsJack RathboneMatthew Robertson, Ethan Edwards
Tirs de pénalité
Jakob Pelletier, Chris Wilkie, Hugh McGing, Clark Bishop, Jayden Grubbe
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
1Barracuda1010000001-1000000000001010000001-100.000000000000220002591311200.00%40100.00%04850.00%132065.00%4757.14%13321112412
Total1010000001-1000000000001010000001-100.000000000000220002591311200.00%40100.00%04850.00%132065.00%4757.14%13321112412
_Since Last GM Reset1010000001-1000000000001010000001-100.000000000000220002591311200.00%40100.00%04850.00%132065.00%4757.14%13321112412
_Vs Conference1010000001-1000000000001010000001-100.000000000000220002591311200.00%40100.00%04850.00%132065.00%4757.14%13321112412

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
10L10002259131100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
101000001
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
101000001
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
200.00%40100.00%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
20000000
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
4850.00%132065.00%4757.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13321112412


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
14Comets0Barracuda1LSommaire du match
312Comets-Barracuda-
520Barracuda-Comets-
728Barracuda-Comets-
936Comets-Barracuda-
1144Barracuda-Comets-
1352Comets-Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
43 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,135,900$ 3,135,900$ 1,250,000$0$
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$ 13 0$ 0$




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