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Comets
GP: 14 | W: 9 | L: 3 | OTL: 2 | P: 20
GF: 70 | GA: 56 | PP%: 30.43% | PK%: 60.00%
DG: Matthieu Gauvin | Morale : 44 | Moyenne d’équipe : 67
Prochains matchs #211 vs Penguins

Centre de jeu
Comets
9-3-2, 20pts
4
7 Gulls
11-4-1, 23pts
Team Stats
W1SéquenceOTW1
5-2-1Fiche domicile5-2-0
4-1-1Fiche domicile6-2-1
6-3-1Derniers 10 matchs8-2-0
5.00Buts par match 5.00
4.00Buts contre par match 3.69
30.43%Pourcentage en avantage numérique23.53%
60.00%Pourcentage en désavantage numérique79.41%
Thunderbirds
8-7-1, 17pts
2
4 Comets
9-3-2, 20pts
Team Stats
L2SéquenceW1
4-3-0Fiche domicile5-2-1
4-4-1Fiche domicile4-1-1
6-4-0Derniers 10 matchs6-3-1
4.00Buts par match 5.00
4.00Buts contre par match 4.00
23.26%Pourcentage en avantage numérique30.43%
78.43%Pourcentage en désavantage numérique60.00%
Penguins
5-8-3, 13pts
Jour 35
Comets
9-3-2, 20pts
Statistiques d’équipe
OTL1SéquenceW1
1-5-2Fiche domicile5-2-1
4-3-1Fiche visiteur4-1-1
1-7-210 derniers matchs6-3-1
3.50Buts par match 5.00
4.25Buts contre par match 5.00
19.30%Pourcentage en avantage numérique30.43%
74.24%Pourcentage en désavantage numérique60.00%
Comets
9-3-2, 20pts
Jour 38
Roadrunners
6-7-2, 14pts
Statistiques d’équipe
W1SéquenceL1
5-2-1Fiche domicile4-4-0
4-1-1Fiche visiteur2-3-2
6-3-110 derniers matchs4-5-1
5.00Buts par match 3.60
4.00Buts contre par match 3.60
30.43%Pourcentage en avantage numérique28.57%
60.00%Pourcentage en désavantage numérique87.27%
Americans
9-7-0, 18pts
Jour 39
Comets
9-3-2, 20pts
Statistiques d’équipe
W1SéquenceW1
4-4-0Fiche domicile5-2-1
5-3-0Fiche visiteur4-1-1
8-2-010 derniers matchs6-3-1
4.50Buts par match 5.00
4.63Buts contre par match 5.00
16.67%Pourcentage en avantage numérique30.43%
78.57%Pourcentage en désavantage numérique60.00%
Meneurs d'équipe
Buts
Conor Garland
14
Passes
Brett Seney
18
Points
Brett Seney
24
Plus/Moins
Brett Howden
11
Victoires
Ukko-Pekka Luukkonen
6
Pourcentage d’arrêts
Ukko-Pekka Luukkonen
0.898

Statistiques d’équipe
Buts pour
70
5.00 GFG
Tirs pour
475
33.93 Avg
Pourcentage en avantage numérique
30.4%
14 GF
Début de zone offensive
35.7%
Buts contre
56
4.00 GAA
Tirs contre
467
33.36 Avg
Pourcentage en désavantage numérique
60.0%%
8 GA
Début de la zone défensive
34.6%
Informations de l'équipe

Directeur généralMatthieu Gauvin
EntraîneurMike Keenan
DivisionGunther-Sabetzki
ConférenceLouis-Magnus
CapitaineBrett Seney
Assistant #1Conor Garland
Assistant #2Alexandre Texier


Informations de l’aréna

Capacité3,000
Assistance2,734
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 250
Espoirs0


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
1Brett Seney (R) (C)X100.006435818470767181697483687464613847740241950,000$
2Conor Garland (R) (A)X100.007850818183678076657779696660544047740241950,000$
3Kailer Yamamoto (R)X100.007550858074767675727578617955485347730221900,000$
4Joonas DonskoiX100.006925757468768076798371657375662947720281950,000$
5Brett Howden (R)X100.006630887569857172757972726852475047720222700,000$
6Alexandre Texier (R) (A)X100.006330818065766878707475667846475747710212800,000$
7Cristiano Digiacinto (R)X100.006237837563737160697461756048483347670241600,000$
8Eeli Tolvanen (R)X100.006323876968697867626082657344465447670213600,000$
9Nicolas Roy (R)X100.005942767367636474726867596548483947660231750,000$
10David Kase (R)X100.006733717064657063696772607047483747650231900,000$
11Alex Turcotte (R)X100.006349726664686163686766616941416647630191500,000$
12Cross Hanas (R)X100.004936627354664467605855536740406828580183950,000$
13Christian WolaninX100.007633877468697974507882695969564047740251950,000$
14Jake Bean (R)X100.006534798367737481527969765359484943720222750,000$
15Wyatt Kalynuk (R)X100.006229827766628085507458775556525147700232800,000$
16Marcus Bjork (R)X100.006541787766747372506859776150505447690233700,000$
17Vincent Desharnais (R)X100.006942696867776755486560724252513247660241500,000$
18Filip Roos (R)X100.006739736262676171526262655844466147630214500,000$
19Ben Meehan (R)X100.005022696947426274377055543543416547580192500,000$
Rayé
1Mason MarchmentX92.017233866975717771727185607261534136710251600,000$
2Nikita Nesterenko (R)X100.005337775174636457686177385841416526590191500,000$
3Graeme Clarke (R)X100.005343766855635857646056575841415926580191500,000$
4Daniel Torgersson (R)X100.005728675466635359535567354940406426550182500,000$
MOYENNE D’ÉQUIPE99.65643678726669697062706963635148504367
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
1Ukko-Pekka Luukkonen99.00668170707277708684755953455651740211925,000$
2Akira Schmid100.00806266837365627266628145456551670204600,000$
Rayé
1Matthew Thiessen100.00624153686749576057515442425433570202500,000$
MOYENNE D’ÉQUIPE99.6769616374716463736963654744584566
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Keenan86748471997343CAN674800,000$


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
1Brett SeneyComets (N.J)C1461824-100192260184110.00%829521.08246738000081050.00%432152011.6300000100
2Conor GarlandComets (N.J)RW14141024-100312059194323.73%529320.98336838101161086.67%15134101.6300000222
3Alexandre TexierComets (N.J)LW1471421820142242132616.67%524517.54235729000050044.44%18115011.7100000202
4Kailer YamamotoComets (N.J)RW1413720100026114672328.26%723516.83303529000003350.00%1075001.7000000131
5Brett HowdenComets (N.J)C1481220110019202781929.63%1025518.280332290000181043.05%22362001.5600000212
6Mason MarchmentComets (N.J)LW136713-26018132981320.69%525919.93224337000003050.00%1254001.0000000002
7Christian WolaninComets (N.J)D1411112-2202733241164.17%2236225.8812343900006000%0514000.6600000011
8Jake BeanComets (N.J)D14178-921512272511104.00%2829621.1503323900008000%0810000.5400000000
9Joonas DonskoiComets (N.J)RW14347-2201992462612.50%417212.3200000011050030.00%1061000.8100000000
10Cristiano DigiacintoComets (N.J)LW143361001311227813.64%514310.25000000000180044.44%914000.8400000000
11Marcus BjorkComets (N.J)D141562401512147107.14%1727619.72112328000016000%006000.4300000010
12Wyatt KalynukComets (N.J)D14145160141418475.56%1427919.99011428000016000%0811000.3600000000
13David KaseComets (N.J)RW14134000147238144.35%21188.48000000000000100.00%251000.6700000000
14Nicolas RoyComets (N.J)C14134-120713187165.56%315911.4100000000000056.58%7665000.5000000000
15Filip RoosComets (N.J)D140448401499430%1019614.010000000002000%009000.4100000000
16Eeli TolvanenComets (N.J)LW14123-100147123108.33%117312.4200001000000044.44%983000.3400000000
17Alex TurcotteComets (N.J)C14303220159143921.43%01228.7200000000000132.50%4012000.4900000000
18Vincent DesharnaisComets (N.J)D140229207129630%1020314.5300000000010000%018000.2000000000
19Ben MeehanComets (N.J)D14000720210000%1725.160000000000000%00200000000000
20Cross HanasComets (N.J)LW1000100100000%088.470000000000000%00100000000000
Statistiques d’équipe totales ou en moyenne266701161864155530127247515028714.74%157416915.681422364534511211269448.25%85610699120.89000008810
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
1Ukko-Pekka LuukkonenComets (N.J)96200.8983.595010030294149120086000
2Akira SchmidComets (N.J)63120.8604.26338002417188100068000
Statistiques d’équipe totales ou en moyenne159320.8843.8683900544652372201414000


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
Akira SchmidComets (N.J)G202000-01-01CHENo205 Lbs6 ft5NoNoFree AgentNoNo42025-09-17FalseFalsePro & Farm600,000$486,391$0$0$No700,000$800,000$900,000$------700,000$800,000$900,000$------NoNoNo------Lien
Alex TurcotteComets (N.J)C192001-01-01USAYes185 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Alexandre TexierComets (N.J)LW211999-01-01FRAYes186 Lbs6 ft1NoNoFree AgentNoNo22024-08-21FalseFalsePro & Farm800,000$648,521$0$0$No900,000$--------700,000$--------No--------Lien
Ben MeehanComets (N.J)D192001-01-01USAYes188 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Brett HowdenComets (N.J)C221998-01-01CANYes194 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm700,000$567,456$0$0$No700,000$--------700,000$--------No--------Lien
Brett SeneyComets (N.J)C241996-01-01CANYes156 Lbs5 ft9NoNoFree AgentNoNo12025-09-17FalseFalsePro & Farm950,000$770,118$0$0$No---------------------------Lien
Christian WolaninComets (N.J)D251995-01-01CANNo185 Lbs6 ft2NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm950,000$770,118$0$0$No---------------------------Lien
Conor GarlandComets (N.J)RW241996-01-01USAYes165 Lbs5 ft10NoNoFree AgentNoNo12025-09-17FalseFalsePro & Farm950,000$770,118$0$0$No---------------------------Lien
Cristiano DigiacintoComets (N.J)LW241996-01-01CANYes186 Lbs5 ft11NoNoFree AgentNoNo12025-09-17FalseFalsePro & Farm600,000$486,391$0$0$No---------------------------Lien
Cross HanasComets (N.J)LW182002-01-01USAYes167 Lbs6 ft1NoNoFree AgentNoNo32025-10-26FalseFalsePro & Farm950,000$770,118$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Daniel TorgerssonComets (N.J)LW182002-01-01SWEYes205 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
David KaseComets (N.J)RW231997-01-01CZEYes169 Lbs5 ft11NoNoFree AgentNoNo12024-10-06FalseFalsePro & Farm900,000$729,586$0$0$No---------------------------Lien
Eeli TolvanenComets (N.J)LW211999-01-01FINYes191 Lbs5 ft10NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm600,000$486,391$0$0$No700,000$900,000$-------500,000$500,000$-------NoNo-------Lien
Filip RoosComets (N.J)D211999-01-01SWEYes190 Lbs6 ft3NoNoFree AgentNoNo42025-09-17FalseFalsePro & Farm500,000$405,325$0$0$No500,000$600,000$600,000$------500,000$600,000$600,000$------NoNoNo------Lien
Graeme ClarkeComets (N.J)RW192001-01-01USAYes174 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Jake BeanComets (N.J)D221998-01-01CANYes187 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$607,988$0$0$No750,000$--------750,000$--------No--------Lien
Joonas DonskoiComets (N.J)RW281992-01-01FINNo180 Lbs6 ft0NoNoFree AgentNoNo12025-09-17FalseFalsePro & Farm950,000$770,118$0$0$No---------------------------Lien
Kailer YamamotoComets (N.J)RW221998-01-01CANYes153 Lbs5 ft8NoNoTrade2025-08-28NoNo12024-08-21FalseFalsePro & Farm900,000$729,586$0$0$No---------------------------Lien
Marcus BjorkComets (N.J)D231997-01-01SWEYes203 Lbs6 ft3NoNoFree AgentNoNo32025-09-17FalseFalsePro & Farm700,000$567,456$0$0$No800,000$900,000$-------800,000$900,000$-------NoNo-------Lien
Mason MarchmentComets (N.J)LW251995-01-01CANNo209 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm600,000$486,391$0$0$No---------------------------Lien
Matthew ThiessenComets (N.J)G202000-01-01CANNo208 Lbs6 ft2NoNoFree AgentNoNo22025-10-28FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------Lien
Nicolas RoyComets (N.J)C231997-01-01CANYes200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$607,988$0$0$No---------------------------Lien
Nikita NesterenkoComets (N.J)C192001-01-01USAYes183 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Ukko-Pekka LuukkonenComets (N.J)G211999-01-01FINNo217 Lbs6 ft5NoNoTrade2025-08-28NoNo12024-09-01FalseFalsePro & Farm925,000$749,852$0$0$No---------------------------Lien
Vincent DesharnaisComets (N.J)D241996-01-01CANYes227 Lbs6 ft7NoNoFree AgentNoNo12025-09-17FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Wyatt KalynukComets (N.J)D231997-01-01CANYes180 Lbs6 ft1NoNoFree AgentNoNo22024-08-21FalseFalsePro & Farm800,000$648,521$0$0$No900,000$--------700,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2621.85188 Lbs6 ft11.73706,731$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eeli TolvanenBrett SeneyConor Garland38023
2Alexandre TexierBrett HowdenKailer Yamamoto30023
3Cristiano DigiacintoNicolas RoyJoonas Donskoi20023
4Cross HanasAlex TurcotteDavid Kase12032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian WolaninJake Bean36032
2Wyatt KalynukMarcus Bjork30041
3Vincent DesharnaisFilip Roos24041
4Ben MeehanChristian Wolanin10032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Eeli TolvanenBrett SeneyConor Garland60104
2Alexandre TexierBrett HowdenKailer Yamamoto40104
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian WolaninJake Bean60023
2Wyatt KalynukMarcus Bjork40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brett HowdenCristiano Digiacinto60131
2Brett SeneyConor Garland40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KalynukMarcus Bjork60140
2Jake BeanVincent Desharnais40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Howden60131Wyatt KalynukMarcus Bjork60140
2Cristiano Digiacinto40131Jake BeanVincent Desharnais40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brett SeneyConor Garland60023
2Brett HowdenAlexandre Texier40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian WolaninJake Bean60131
2Wyatt KalynukMarcus Bjork40131
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eeli TolvanenBrett SeneyConor GarlandChristian WolaninJake Bean
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cristiano DigiacintoBrett HowdenConor GarlandChristian WolaninJake Bean
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Eeli Tolvanen, Alex Turcotte, Joonas DonskoiEeli Tolvanen, Joonas DonskoiJoonas Donskoi
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ben Meehan, Filip Roos, Vincent DesharnaisFilip RoosChristian Wolanin, Filip Roos
Tirs de pénalité
Kailer Yamamoto, Alexandre Texier, Brett Seney, Joonas Donskoi, Eeli Tolvanen
Gardien
#1 : Ukko-Pekka Luukkonen, #2 : Akira Schmid
Lignes d’attaque personnalisées en prolongation
Conor Garland, Brett Seney, Kailer Yamamoto, Alexandre Texier, Brett Howden, Joonas Donskoi, Cross Hanas, Cristiano Digiacinto, Eeli Tolvanen, Nicolas Roy
Lignes de défense personnalisées en prolongation
Christian Wolanin, Jake Bean, Wyatt Kalynuk, Marcus Bjork, Vincent Desharnais


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
1Admirals11000000862110000008620000000000021.000815230028241714718215413813994182150.00%2150.00%014830448.68%13829546.78%12725350.20%311189290121238120
2Crunch310011001514120001100111101100000043150.83315233800282417195182154138110534125712216.67%6266.67%014830448.68%13829546.78%12725350.20%311189290121238120
3Eagles1010000046-21010000046-20000000000000.00044810282417130182154138140156214250.00%3166.67%114830448.68%13829546.78%12725350.20%311189290121238120
4Gulls1010000047-3000000000001010000047-300.000471100282417136182154138136162203133.33%110.00%014830448.68%13829546.78%12725350.20%311189290121238120
5Penguins2200000010460000000000022000000104641.00010162600282417168182154138161126448337.50%3233.33%014830448.68%13829546.78%12725350.20%311189290121238120
6Rockets33000000187112200000011651100000071661.000183351002824171991821541381832719699444.44%30100.00%014830448.68%13829546.78%12725350.20%311189290121238120
7Thunderbirds11000000422110000004220000000000021.0004590028241713218215413813415227000%10100.00%014830448.68%13829546.78%12725350.20%311189290121238120
8Wranglers20100100710-31010000046-21000010034-110.2507132010282417168182154138169294458112.50%110.00%014830448.68%13829546.78%12725350.20%311189290121238120
Total14830120070561484201100423756410010028199200.71470116186202824171475182154138146715755301461430.43%20860.00%114830448.68%13829546.78%12725350.20%311189290121238120
_Since Last GM Reset14830120070561484201100423756410010028199200.71470116186202824171475182154138146715755301461430.43%20860.00%114830448.68%13829546.78%12725350.20%311189290121238120
_Vs Conference12630120058481062201100302916410010028199160.6675896154202824171396182154138139413349256441329.55%17758.82%114830448.68%13829546.78%12725350.20%311189290121238120
_Vs Division84101200403195210110026233320001001486120.75040691091028241712621821541381257903517129724.14%10370.00%014830448.68%13829546.78%12725350.20%311189290121238120

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1420W1701161864754671575530120
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
148312007056
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
84211004237
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
64101002819
Derniers 10 matchs
WLOTWOTL SOWSOL
531100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
461430.43%20860.00%1
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
18215413812824171
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
14830448.68%13829546.78%12725350.20%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
311189290121238120


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
214Rockets2Comets4WSommaire du match
532Admirals6Comets8WSommaire du match
854Crunch7Comets6LXSommaire du match
1064Comets4Crunch3WSommaire du match
1275Comets5Penguins3WSommaire du match
1384Wranglers6Comets4LSommaire du match
16100Comets3Wranglers4LXSommaire du match
17108Eagles6Comets4LSommaire du match
19120Comets7Rockets1WSommaire du match
21135Rockets4Comets7WSommaire du match
25157Crunch4Comets5WXSommaire du match
27172Comets5Penguins1WSommaire du match
29178Comets4Gulls7LSommaire du match
30185Thunderbirds2Comets4WSommaire du match
35211Penguins-Comets-
38232Comets-Roadrunners-
39237Americans-Comets-
42253Comets-Canucks-
43264Wolfpack-Comets-
46281Comets-Gulls-
47289Bears-Comets-
50307Comets-Senators-
52316Griffins-Comets-
55333Comets-Penguins-
56342Gulls-Comets-
59363Comets-Admirals-
60367Canucks-Comets-
63391Senators-Comets-
65405Comets-Islander-
67418Condors-Comets-
68426Comets-Punishers-
71444Checkers-Comets-
73461Comets-Americans-
75469Griffins-Comets-
79495Crunch-Comets-
81507Comets-Marlies-
83521Marlies-Comets-
85533Comets-Bears-
87541Comets-Roadrunners-
88549Wranglers-Comets-
91572Checkers-Comets-
93585Comets-Eagles-
95599Thunderbirds-Comets-
97608Comets-Thunderbirds-
99622Comets-Barracuda-
100626Icehogs-Comets-
103650Comets-Moose-
104655Admirals-Comets-
107677Barracuda-Comets-
109687Comets-Rockets-
111703Wranglers-Comets-
113711Comets-Thunderbirds-
116729Eagles-Comets-
118744Comets-Wranglers-
120754Comets-Little Stars-
121757Marlies-Comets-
123778Comets-Marlies-
124784Little Stars-Comets-
126798Comets-Wolfpack-
129809Islander-Comets-
131822Comets-Wranglers-
133835Admirals-Comets-
136858Comets-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
137860Barracuda-Comets-
139876Comets-Icehogs-
140885Comets-Condors-
141889Roadrunners-Comets-
145912Rockets-Comets-
147921Comets-Checkers-
149937Moose-Comets-
150945Comets-Rockets-
154963Punishers-Comets-
155971Comets-Wolfpack-
156976Comets-Griffins-
159990Comets-Firebirds-
160993Comets-Crunch-
1611001Firebirds-Comets-
1631016Comets-Firebirds-
1641018Comets-Crunch-
1671039Firebirds-Comets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance14,6877,182
Assistance PCT91.79%89.78%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2734 - 91.12% 172,642$1,381,138$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
499,424$ 1,837,500$ 1,837,500$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,873$ 347,936$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,524,552$ 137 15,607$ 2,138,159$




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