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Connexion

Comets
GP: 10 | W: 4 | L: 6
GF: 16 | GA: 24 | PP%: 21.74% | PK%: 72.00%
DG: Tyler Briem | Morale : 54 | Moyenne d’équipe : 58

Centre de jeu
Rocket
9-7-0, 18pts
4
2 Comets
4-6-0, 8pts
Team Stats
L1SéquenceL4
5-3-0Fiche domicile2-3-0
4-4-0Fiche domicile2-3-0
6-4-0Derniers 10 matchs4-6-0
3.31Buts par match 1.60
2.81Buts contre par match 2.40
29.41%Pourcentage en avantage numérique21.74%
80.43%Pourcentage en désavantage numérique72.00%
Rocket
9-7-0, 18pts
4
1 Comets
4-6-0, 8pts
Team Stats
L1SéquenceL4
5-3-0Fiche domicile2-3-0
4-4-0Fiche domicile2-3-0
6-4-0Derniers 10 matchs4-6-0
3.31Buts par match 1.60
2.81Buts contre par match 2.40
29.41%Pourcentage en avantage numérique21.74%
80.43%Pourcentage en désavantage numérique72.00%
Meneurs d'équipe
Clark BishopButs
Clark Bishop
3
Clark BishopPasses
Clark Bishop
7
Clark BishopPoints
Clark Bishop
10
Plus/Moins
Helge Grans
4
Philipp GrubauerVictoires
Philipp Grubauer
4
Philipp GrubauerPourcentage d’arrêts
Philipp Grubauer
0.893

Statistiques d’équipe
Buts pour
16
1.60 GFG
Tirs pour
142
14.20 Avg
Pourcentage en avantage numérique
21.7%
5 GF
Début de zone offensive
34.5%
Buts contre
24
2.40 GAA
Tirs contre
226
22.60 Avg
Pourcentage en désavantage numérique
72.0%%
7 GA
Début de la zone défensive
40.0%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,674
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
1Clark BishopX100.0076728670728287647960666460515263876503011,000,000$
2Jakob Pelletier (A)X100.0075429477625986613871676525585866836502531,488,000$
3David Gustafsson (C)XXX100.0065569478745257646961606725636359586202621,333,000$
4Hugh McGingX100.0067627667637984615059625755474757866002821,100,000$
5Chris WilkieX100.0078709980703833595057576353464658805803011,000,000$
6Jayden GrubbeX100.0077767966787177516351475943474751825702331,268,000$
7Josh BloomX100.0077699982713531545061456142474754645602331,271,000$
8Fabian Wagner (R)X100.0072659266686873516445555751474753835602231,277,000$
9Dalton BancroftX100.0082779981783532485036566355464656815502511,000,000$
10Matthew MaggioX100.007267886870525349504748584847475380540232820,000$
11Trevor KuntarX100.0070736365756671476146445544474750785402531,093,000$
12Ethan SamsonX100.0079778368807784532540536249484755866202231,227,000$
13Helge Grans (R)X100.0078788172818088502540456143474753796202431,452,000$
14Samuel Johannesson (R)X100.0073669767677783532549416039474752826002531,372,000$
15Donovan Sebrango (R)X100.0074815670846467542542526048474753836002431,356,000$
16Jack RathboneX100.0068667666677278532546485540474749825802721,232,000$
17Anton Johansson (R)X100.0078749464763734522549386137464650835502231,279,000$
18Ethan Edwards (R)X100.0069717464745050502547385637474748835502431,341,000$
19Layton AhacX100.007172738173333241252840553747474478530252988,000$
Rayé
1Eetu LiukasX100.0078778165795050505045516248464652405402331,095,000$
2Alex BeaucageX100.0077728863734139495047466145454552215202531,315,000$
3Peter DiLiberatoreX100.007368846168393843252843584144444921510262990,000$
MOYENNE D’ÉQUIPE100.00747084707357605343485060444848547357
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 Grubauer100.006259607265587067696285717460866503422,000,000$
2Vitek Vanecek100.006155567265566763656195636462876203031,600,000$
Rayé
MOYENNE D’ÉQUIPE100.0062575872655769656762906769618764
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
1Clark BishopComets (NJD)C103710-19513243013810.00%323023.07134919000061065.90%17311000.8700100110
2Fabian WagnerComets (NJD)C10145-300923104710.00%318818.85112619000001063.16%5712000.5300000020
3Jayden GrubbeComets (NJD)C10134-6958971714.29%320320.31134517000020063.04%4634000.3900010010
4Jakob PelletierComets (NJD)LW10224-520812165612.50%421421.471013140000190148.94%4762000.3700000000
5Chris WilkieComets (NJD)RW1022400016141991010.53%521021.050003140000181033.33%932000.3800000102
6Hugh McGingComets (NJD)LW1021301551313206710.00%522122.15000315000180156.52%2346000.2700001000
7David GustafssonComets (NJD)C/LW/RW10202-1207882325.00%015215.24000020002110060.00%2513000.2600000000
8Jack RathboneComets (NJD)D10112-41352933333.33%718818.86112221000016000%008000.2100001001
9Ethan SamsonComets (NJD)D101120101092092011.11%1124624.6300001000017100%007000.1600002001
10Samuel JohannessonComets (NJD)D10022-3550105210%720220.20000111000016000%003000.2000010000
11Josh BloomComets (NJD)LW10011-1001282210%110410.470000000016000%222000.1900000000
12Helge GransComets (NJD)D9011475581310%917519.490000000000000%023000.1100001000
13Donovan SebrangoComets (NJD)D10101-6321092092111.11%921621.61000412000112010%018000.0900011000
14Dylan CoghlanDevilsD1000000000000%011.930000000000000%00000000000000
15Matthew MaggioComets (NJD)RW10000000823010%111211.2700000000000050.00%20200000000000
16Trevor KuntarComets (NJD)C100000007100000%0636.3800000000000042.11%192000000000000
17Anton JohanssonComets (NJD)D10000000100000%0151.560000000001000%00000000000000
18Matthew RobertsonDevilsD1000040000000%32525.450000200002000%02000000000000
19Ethan EdwardsComets (NJD)D10000-320270010%314514.5100001700007000%01100000000000
20Layton AhacComets (NJD)D9000000000000%030.390000000000000%00000000000000
21Dalton BancroftComets (NJD)RW10000-100120100%1383.830000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne190162541-3011050130199142555711.27%75296015.5858133617100051494360.05%4032954000.2800136244
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)104600.8932.4957801242241300000100200
2Vitek VanecekComets (NJD)10001.000021000210000010000
Statistiques d’équipe totales ou en moyenne114600.8942.4059901242261310001010200


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)RW252001-07-25QUENo192 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,315,000$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$0$0$No1,279,000$1,279,000$-------1,279,000$1,279,000$-------NoNo-------Lien
Chris WilkieComets (NJD)RW301996-07-10USANo190 Lbs6 ft0NoNoAssign ManuallyNoNo12025-12-16FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Clark BishopComets (NJD)C301996-03-29CANNo197 Lbs6 ft1NoNoAssign ManuallyNoNo12026-02-04FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Dalton BancroftComets (NJD)RW252001-02-26ONNo207 Lbs6 ft3NoNoAssign ManuallyNoNo12026-02-04FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
David GustafssonComets (NJD)C/LW/RW262000-04-11SWENo196 Lbs6 ft2NoNoTrade2024-09-03NoNo2FalseFalsePro & Farm1,333,000$0$0$No1,333,000$--------1,333,000$--------No--------Lien
Donovan SebrangoComets (NJD)D242002-01-12CANYes221 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,356,000$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$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$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$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$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Helge GransComets (NJD)D242002-05-10SWEYes205 Lbs6 ft4NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,452,000$0$0$No1,452,000$1,452,000$-------1,452,000$1,452,000$-------NoNo-------Lien
Hugh McGingComets (NJD)LW281998-07-11USANo172 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Jack RathboneComets (NJD)D271999-05-20USANo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,232,000$0$0$No1,232,000$--------1,232,000$--------No--------Lien
Jakob PelletierComets (NJD)LW252001-03-07CANNo170 Lbs5 ft9NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,488,000$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$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$0$0$No1,271,000$1,271,000$-------1,271,000$1,271,000$-------NoNo-------Lien
Layton AhacComets (NJD)D252001-02-22BCNo190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm988,000$0$0$No988,000$--------988,000$--------No--------Lien
Matthew MaggioComets (NJD)RW232002-11-25ONTNo187 Lbs5 ft11NoNoProspectNoNo22024-09-17FalseFalsePro & Farm820,000$0$0$No820,000$--------820,000$--------No--------Lien
Peter DiLiberatoreComets (NJD)D262000-03-31NSNo185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm990,000$0$0$No990,000$--------990,000$--------No--------Lien
Philipp GrubauerComets (NJD)G341991-11-25GERNo188 Lbs6 ft1NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm2,000,000$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$0$0$No1,372,000$1,372,000$-------1,372,000$1,372,000$-------NoNo-------Lien
Trevor KuntarComets (NJD)C252001-06-20USANo201 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,093,000$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$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
2425.46192 Lbs6 ft12.461,245,708$



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
1Helge GransEthan Samson40122
2Samuel JohannessonDonovan Sebrango30122
3Jack RathboneEthan Samson20122
4Ethan EdwardsDonovan Sebrango10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Fabian WagnerJayden GrubbeClark Bishop60122
2Hugh McGingJakob PelletierChris Wilkie40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan EdwardsJack 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
1Ethan SamsonJack Rathbone60122
2Samuel JohannessonDonovan Sebrango40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Clark Bishop60122Jack RathboneEthan 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
1Jack RathboneEthan Edwards60122
2Samuel JohannessonDonovan Sebrango40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris WilkieHugh McGingClark BishopHelge GransEthan Samson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris WilkieHugh McGingClark BishopHelge GransEthan 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, Donovan Sebrango, Ethan EdwardsJack RathboneDonovan Sebrango, 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
1Barracuda642000001394321000005503210000084480.66713213401259084226951013646518217529.41%13284.62%08213958.99%9916161.49%6110359.22%15749191108250126
2Rocket40400000315-122020000038-52020000007-700.00034700259058226951090295948600.00%12558.33%08213958.99%9916161.49%6110359.22%15749191108250126
Total1046000001624-852300000813-552300000811-380.40016254101259014222695102267511013023521.74%25772.00%08213958.99%9916161.49%6110359.22%15749191108250126
_Since Last GM Reset1046000001624-852300000813-552300000811-380.40016254101259014222695102267511013023521.74%25772.00%08213958.99%9916161.49%6110359.22%15749191108250126
_Vs Conference1046000001624-852300000813-552300000811-380.40016254101259014222695102267511013023521.74%25772.00%08213958.99%9916161.49%6110359.22%15749191108250126

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
108L41625411422267511013001
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104600001624
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5230000813
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
5230000811
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
23521.74%25772.00%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
22695102590
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
8213958.99%9916161.49%6110359.22%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
15749191108250126


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
312Comets6Barracuda3WSommaire du match
520Barracuda1Comets2WSommaire du match
728Barracuda2Comets0LSommaire du match
936Comets2Barracuda0WSommaire du match
1144Barracuda2Comets3WSommaire du match
1558Comets0Rocket2LSommaire du match
1762Comets0Rocket5LSommaire du match
1966Rocket4Comets2LSommaire du match
2170Rocket4Comets1LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance8,5864,786
Assistance PCT85.86%95.72%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2674 - 89.15% 110,945$554,727$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,989,700$ 2,989,700$ 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$ 0 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