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Comets
GP: 86 | W: 48 | L: 29 | OTL: 9 | P: 105
GF: 188 | GA: 200 | PP%: 33.14% | PK%: 68.27%
DG: Tyler Briem | Morale : 67 | Moyenne d’équipe : 58

Centre de jeu
Heat
45-24-17, 107pts
4
2 Comets
48-29-9, 105pts
Team Stats
L1SéquenceW1
24-10-9Fiche domicile23-16-4
21-14-8Fiche domicile25-13-5
2-5-3Derniers 10 matchs9-1-0
2.59Buts par match 2.19
2.41Buts contre par match 2.33
30.35%Pourcentage en avantage numérique33.14%
79.05%Pourcentage en désavantage numérique68.27%
Monsters
30-37-19, 79pts
1
2 Comets
48-29-9, 105pts
Team Stats
SOL1SéquenceW1
12-20-11Fiche domicile23-16-4
18-17-8Fiche domicile25-13-5
6-2-2Derniers 10 matchs9-1-0
1.79Buts par match 2.19
2.41Buts contre par match 2.33
23.98%Pourcentage en avantage numérique33.14%
72.68%Pourcentage en désavantage numérique68.27%
Meneurs d'équipe
Clark BishopButs
Clark Bishop
26
Clark BishopPasses
Clark Bishop
36
Clark BishopPoints
Clark Bishop
62
Plus/Moins
Donovan Sebrango
9
Philipp GrubauerVictoires
Philipp Grubauer
48
Philipp GrubauerPourcentage d’arrêts
Philipp Grubauer
0.869

Statistiques d’équipe
Buts pour
188
2.19 GFG
Tirs pour
1328
15.44 Avg
Pourcentage en avantage numérique
33.1%
57 GF
Début de zone offensive
35.5%
Buts contre
200
2.33 GAA
Tirs contre
1504
17.49 Avg
Pourcentage en désavantage numérique
68.3%%
66 GA
Début de la zone défensive
38.1%
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
Assistance2,147
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)X100.0075429477625986613871676525585866856502531,488,000$
2Clark BishopX100.0076728670728287647959666460515264866403011,000,000$
3David Gustafsson (C)XXX100.0065569478745257646962606725626360486202621,333,000$
4Hugh McGingX100.0067627666627984615059625755474758906002721,100,000$
5Chris WilkieX100.0078709980703833595057576453464659815802911,000,000$
6Jayden GrubbeX100.0077767966787177516350476043474752905702331,268,000$
7Josh BloomX100.0077699982713531555062456242474654555602331,271,000$
8Fabian Wagner (R)X100.0072659266686873516445555751474754845602231,277,000$
9Dalton BancroftX100.0082779981783532485036566455464657825502511,000,000$
10Matthew MaggioX100.007267876769525349504748584847475377540232820,000$
11Trevor KuntarX100.0070736365756671476146445644474650735402431,093,000$
12Dylan CoghlanX100.0076768473776060612549576654606060836302832,500,000$
13Ethan SamsonX100.0079778367797784532540536249474756906202231,227,000$
14Matthew Robertson (R) (A)X100.0078807272827379542551446237474752886202531,402,000$
15Samuel Johannesson (R)X100.0074669767677783532549426039474753876002531,372,000$
16Donovan Sebrango (R)X100.0074815670846467542542526048474754906002431,356,000$
17Jack RathboneX100.0068667665667278532546475640474750845802721,232,000$
18Anton Johansson (R)X100.0078749464763734522550386137464651845502131,279,000$
19Ethan Edwards (R)X100.0070717363735050502547385637474748855502431,341,000$
Rayé
1Eetu LiukasX100.0078778165795050505045516248464652405402331,095,000$
2Alex BeaucageX100.0077728863734139495047466145454552205202431,315,000$
3Peter DiLiberatoreX100.007368846168393843252843584144444920510262990,000$
MOYENNE D’ÉQUIPE100.00747084697358615443495161444949557458
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 Grubauer100.006259607265587068696285717460926503422,000,000$
2Vitek Vanecek100.006155567265566763646195636362906203031,600,000$
Rayé
MOYENNE D’ÉQUIPE100.0062575872655769666762906769619164
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)C65263662-186830881321855311614.05%24145422.3710182858910006503355.50%9372521010.85252131154
2Hugh McGingComets (NJD)LW86243155-59145134133195489412.31%30187821.8431013171111124805042.52%1276418000.59411135943
3Jakob PelletierComets (NJD)LW82173047-1513597109159508810.69%30175521.40311141810601121273139.78%2745329100.54211100481
4Jayden GrubbeComets (NJD)C83232144-13794510710788235126.14%27167520.18121527251211016455551.56%4172018000.5323324356
5David GustafssonComets (NJD)C/LW/RW6519203949564112110336717.27%17115817.823259393034743257.14%2802625010.6724100623
6Chris WilkieComets (NJD)RW74151631-4151547105107296714.02%27122716.594159582022723140.09%2272620000.5127012022
7Matthew RobertsonComets (NJD)D8672229-24209751151579143527.69%99222525.884711161470442137010%02859000.2600753043
8Eetu LiukasComets (NJD)LW6216102681410636764183525.00%16109417.666511128421310923236.51%1891311000.4716110232
9Jack RathboneComets (NJD)D8651520-134820739641141812.20%42167319.4649131815001151711240.00%101827100.2400021021
10Fabian WagnerComets (NJD)C8671118-410107110439101817.95%13134015.592356420000123151.16%4751313000.2722101112
11Ethan SamsonComets (NJD)D8621315-89650801194233174.76%61172620.070000110000232050.00%21435000.1700307001
12Josh BloomComets (NJD)LW675712-21010495042233211.90%1085012.701345330000434050.70%71237000.2800002122
13Donovan SebrangoComets (NJD)D863912911115991183418148.82%50177720.67202898011089000%02030000.1400201012
14Samuel JohannessonComets (NJD)D862810975511193716175.41%45188421.912247980111124000%11131000.1100000110
15Trevor KuntarComets (NJD)C72279434107956246128.33%1081211.2800002000020054.08%19657000.2200110001
16Ethan EdwardsComets (NJD)D861453220455963116.67%18109212.7100000022176000%0319000.0911000100
17Matthew MaggioComets (NJD)RW85134-11005877346202.94%3105412.410003310001141046.15%131414000.0800000000
18Alex BeaucageComets (NJD)RW24033-127251929202140%541717.41011238000050042.86%786000.1411212000
19Dylan CoghlanComets (NJD)D72101-1008851320.00%22443.391012500003000%020000.0802000000
20Anton JohanssonComets (NJD)D85000-100210000%1740.880000000002000%00100000000000
21Layton AhacDevilsD9000-120252110%3849.380000000000000%00200000000000
22Peter DiLiberatoreComets (NJD)D5000000000000%010.220000000000000%00000000000000
23Dalton BancroftComets (NJD)RW65000-200843110%12253.470000000000000%02200011000000
Statistiques d’équipe totales ou en moyenne1603176266442-7687537513591767132843173813.25%5342573016.055787144215127391221441249361850.12%3226388395220.342054251731394033
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)86482990.8692.2249792131841408793510.86853860545
2Vitek VanecekComets (NJD)90000.8633.01259001395520000086000
Statistiques d’équipe totales ou en moyenne95482990.8692.265239213197150384551538686545


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$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$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$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
Dylan CoghlanComets (NJD)D281998-02-19CANNo208 Lbs6 ft2NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,500,000$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$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
Hugh McGingComets (NJD)LW271998-07-11USANo172 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
Matthew MaggioComets (NJD)RW232002-11-25ONTNo187 Lbs5 ft11NoNoProspectNoNo22024-09-17FalseFalsePro & Farm820,000$0$0$No820,000$--------820,000$--------No--------Lien
Matthew RobertsonComets (NJD)D252001-03-09CANYes211 Lbs6 ft4NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,402,000$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$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)C242001-06-20USANo201 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
2425.42193 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
1Admirals22000000725110000003211100000040441.0007132001246284254231042856083351819368450.00%20100.00%0580112251.69%590120449.00%44783453.60%1450504157598022161098
2Americans41100020141223110001010911000001043160.7501417310024628425823104285608310437495510550.00%12741.67%0580112251.69%590120449.00%44783453.60%1450504157598022161098
3Barracuda5010031025-3200001102203010020003-350.50021300246284255031042856083611744621119.09%7185.71%0580112251.69%590120449.00%44783453.60%1450504157598022161098
4Bears2110000037-41010000016-51100000021120.5003580024628425173104285608352173333200.00%9277.78%1580112251.69%590120449.00%44783453.60%1450504157598022161098
5Bruins3120000035-22110000023-11010000012-120.3333580024628425353104285608348171044100.00%5420.00%0580112251.69%590120449.00%44783453.60%1450504157598022161098
6Canucks311000107522010001045-11100000030340.6677101711246284254131042856083512017475240.00%110.00%0580112251.69%590120449.00%44783453.60%1450504157598022161098
7Checkers2110000035-21010000015-41100000020220.5003580124628425273104285608316821332150.00%3233.33%0580112251.69%590120449.00%44783453.60%1450504157598022161098
8Condors21000001330110000002111000000112-130.750358002462842528310428560832352287228.57%10100.00%0580112251.69%590120449.00%44783453.60%1450504157598022161098
9Crunch21000010413110000003121000001010141.0004610012462842538310428560832531444200.00%7185.71%0580112251.69%590120449.00%44783453.60%1450504157598022161098
10Eagles22000000532110000003211100000021141.000591400246284253131042856083171316355360.00%8275.00%0580112251.69%590120449.00%44783453.60%1450504157598022161098
11Griffins3120000079-2110000003122020000048-420.333781500246284254831042856083511925439333.33%5340.00%0580112251.69%590120449.00%44783453.60%1450504157598022161098
12Gulls2110000035-21010000015-41100000020220.5003580124628425303104285608322825288112.50%5260.00%0580112251.69%590120449.00%44783453.60%1450504157598022161098
13Heat311000109811010000024-22100001074340.6679101900246284254631042856083652639467228.57%7442.86%0580112251.69%590120449.00%44783453.60%1450504157598022161098
14IceHogs5210002012102311000108802100001042280.80012172901246284257831042856083502330888337.50%10280.00%0580112251.69%590120449.00%44783453.60%1450504157598022161098
15Islanders2020000028-61010000024-21010000004-400.000246002462842544310428560836023182811100.00%9188.89%0580112251.69%590120449.00%44783453.60%1450504157598022161098
16Marlies22000000826110000004041100000042241.000813210124628425213104285608321738334250.00%40100.00%0580112251.69%590120449.00%44783453.60%1450504157598022161098
17Monsters51201010910-13020001047-32100100053260.600910190124628425102310428560837338538316318.75%9366.67%0580112251.69%590120449.00%44783453.60%1450504157598022161098
18Moose32001000716110000002022100100051461.0007101702246284253831042856083231010365120.00%50100.00%1580112251.69%590120449.00%44783453.60%1450504157598022161098
19Penguins2010000125-31000000112-11010000013-210.250235002462842525310428560832691937000%7271.43%0580112251.69%590120449.00%44783453.60%1450504157598022161098
20Phantoms20100010810-2100000105411010000036-320.5008101800246284253731042856083551239386466.67%12375.00%1580112251.69%590120449.00%44783453.60%1450504157598022161098
21Reign3110010089-11000010034-12110000055030.5008111900246284255731042856083883822495120.00%11372.73%3580112251.69%590120449.00%44783453.60%1450504157598022161098
22Roadrunners22000000954110000006331100000032141.0009142300246284253831042856083562416288562.50%3166.67%0580112251.69%590120449.00%44783453.60%1450504157598022161098
23Rocket521010101064210000105233110100054180.80010122201246284256731042856083521351753133.33%19573.68%0580112251.69%590120449.00%44783453.60%1450504157598022161098
24Senators531001001415-1210001006603210000089-170.7001422360024628425763104285608314040687913323.08%15566.67%2580112251.69%590120449.00%44783453.60%1450504157598022161098
25Silver Knights20001010532100000104311000100010141.00056110124628425333104285608324113631200.00%30100.00%0580112251.69%590120449.00%44783453.60%1450504157598022161098
26Stars2020000026-41010000013-21010000013-200.00023500246284251431042856083361113314125.00%4250.00%0580112251.69%590120449.00%44783453.60%1450504157598022161098
27Thunderbirds20200000516-1110100000310-71010000026-400.000581300246284254731042856083691970356350.00%10550.00%0580112251.69%590120449.00%44783453.60%1450504157598022161098
28Wild2020000049-51010000035-21010000014-300.00047110024628425353104285608378231136100.00%30100.00%0580112251.69%590120449.00%44783453.60%1450504157598022161098
29Wolf Pack21001000413100010001011100000031241.0004590124628425243104285608314324343266.67%2150.00%0580112251.69%590120449.00%44783453.60%1450504157598022161098
30Wolves50201200914-53020100058-32000020046-240.40091221002462842577310428560836922458410330.00%10460.00%1580112251.69%590120449.00%44783453.60%1450504157598022161098
Total863029067122188200-1243131602381100115-1543171304441888531050.61018826645411324628425132831042856083150453487713591725733.14%2086668.27%9580112251.69%590120449.00%44783453.60%1450504157598022161098
_Since Last GM Reset863029067122188200-1243131602381100115-1543171304441888531050.61018826645411324628425132831042856083150453487713591725733.14%2086668.27%9580112251.69%590120449.00%44783453.60%1450504157598022161098
_Vs Conference481414056818992-32569022605056-623850342139363610.63589123212182462842571431042856083730243430763902123.33%972970.10%3580112251.69%590120449.00%44783453.60%1450504157598022161098
_Vs Division2088036505152-11035012402933-410530241022193380.9505181132042462842532331042856083364141185325452044.44%451273.33%1580112251.69%590120449.00%44783453.60%1450504157598022161098

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
86105W1188266454132815045348771359113
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
86302967122188200
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4313162381100115
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
43171344418885
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1725733.14%2086668.27%9
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
3104285608324628425
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
580112251.69%590120449.00%44783453.60%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1450504157598022161098


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
779IceHogs2Comets4WSommaire du match
993Comets2Rocket3LSommaire du match
10103Monsters3Comets2LSommaire du match
11125Americans4Comets6WSommaire du match
12143Comets4Heat3WXXSommaire du match
14158Wolves2Comets0LSommaire du match
15167Comets2Wolves3LXSommaire du match
16183Comets3Griffins5LSommaire du match
17198Comets5Reign3WSommaire du match
18209Senators2Comets3WSommaire du match
19229Comets3Moose0WSommaire du match
20240Barracuda1Comets2WXXSommaire du match
22258Monsters3Comets0LSommaire du match
23273Comets0Barracuda1LSommaire du match
24288Comets0Reign2LSommaire du match
26301Eagles2Comets3WSommaire du match
27318Comets4Marlies2WSommaire du match
28330Bears6Comets1LSommaire du match
29348Comets2Gulls0WSommaire du match
30363Barracuda1Comets0LXSommaire du match
31379Comets1Penguins3LSommaire du match
32392Comets1Stars3LSommaire du match
33401Thunderbirds10Comets3LSommaire du match
35422Penguins2Comets1LXXSommaire du match
36441Comets1Silver Knights0WXSommaire du match
37454Silver Knights3Comets4WXXSommaire du match
38470Comets1Griffins3LSommaire du match
40485Wild5Comets3LSommaire du match
41502Comets1Wild4LSommaire du match
42518Americans1Comets2WXXSommaire du match
43532Comets2Wolves3LXSommaire du match
44548Wolves2Comets3WXSommaire du match
45558Comets3Canucks0WSommaire du match
46576Comets4Americans3WXXSommaire du match
47590Gulls5Comets1LSommaire du match
48608Comets0Barracuda1LXSommaire du match
49617Americans4Comets2LSommaire du match
50639Admirals2Comets3WSommaire du match
51651Comets1Condors2LXXSommaire du match
52667Comets2Thunderbirds6LSommaire du match
53679Marlies0Comets4WSommaire du match
54696Comets4Admirals0WSommaire du match
55710Crunch1Comets3WSommaire du match
57732Griffins1Comets3WSommaire du match
59753Reign4Comets3LXSommaire du match
60766Comets1Bruins2LSommaire du match
61778Comets2Moose1WXSommaire du match
63794Moose0Comets2WSommaire du match
64809Comets2Checkers0WSommaire du match
65828Checkers5Comets1LSommaire du match
67844Comets1Monsters0WSommaire du match
68855Comets0Islanders4LSommaire du match
69867IceHogs5Comets2LSommaire du match
70887Comets3Roadrunners2WSommaire du match
71898Stars3Comets1LSommaire du match
73913Comets2Bears1WSommaire du match
74925Senators4Comets3LXSommaire du match
75946Roadrunners3Comets6WSommaire du match
77963Comets1Crunch0WXXSommaire du match
79977Comets1IceHogs0WXXSommaire du match
80988Phantoms4Comets5WXXSommaire du match
811009Bruins2Comets0LSommaire du match
821024Comets2Eagles1WSommaire du match
841042Rocket1Comets2WXXSommaire du match
851049Comets3Wolf Pack1WSommaire du match
861072Canucks3Comets1LSommaire du match
881093Comets3IceHogs2WSommaire du match
891101Islanders4Comets2LSommaire du match
901118Comets3Phantoms6LSommaire du match
921137Rocket1Comets3WSommaire du match
931155Comets2Rocket1WSommaire du match
941166Condors1Comets2WSommaire du match
961188Wolf Pack0Comets1WXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971194Comets4Monsters3WXSommaire du match
981200Comets3Heat1WSommaire du match
1001229IceHogs1Comets2WXXSommaire du match
1011235Comets1Rocket0WXSommaire du match
1031258Comets3Senators1WSommaire du match
1041266Canucks2Comets3WXXSommaire du match
1051284Comets4Senators2WSommaire du match
1071299Heat4Comets2LSommaire du match
1101321Monsters1Comets2WXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance59,67732,632
Assistance PCT69.39%75.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2147 - 71.56% 89,337$3,841,485$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,315,455$ 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
27,999$ 3,065,423$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 39,160$ 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