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Comets
GP: 24 | W: 14 | L: 8 | OTL: 2 | P: 30
GF: 104 | GA: 92 | PP%: 17.98% | PK%: 83.87%
DG: Matthieu Gauvin | Morale : 47 | Moyenne d’équipe : 66
Prochains matchs #319 vs Griffins
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Centre de jeu
Comets
14-8-2, 30pts
6
FINAL
4 Firebirds
9-12-3, 21pts
Team Stats
W2SéquenceW1
7-3-2Fiche domicile4-7-1
7-5-0Fiche domicile5-5-2
6-3-1Derniers 10 matchs4-6-0
4.33Buts par match 3.33
3.83Buts contre par match 4.00
17.98%Pourcentage en avantage numérique23.91%
83.87%Pourcentage en désavantage numérique79.61%
Islander
13-10-3, 29pts
3
FINAL
5 Comets
14-8-2, 30pts
Team Stats
L1SéquenceW2
5-5-1Fiche domicile7-3-2
8-5-2Fiche domicile7-5-0
5-3-2Derniers 10 matchs6-3-1
3.65Buts par match 4.33
3.62Buts contre par match 3.83
23.71%Pourcentage en avantage numérique17.98%
75.00%Pourcentage en désavantage numérique83.87%
Comets
14-8-2, 30pts
Jour 63
Griffins
15-6-1, 31pts
Statistiques d’équipe
W2SéquenceSOW1
7-3-2Fiche domicile8-4-0
7-5-0Fiche visiteur7-2-1
6-3-110 derniers matchs7-3-0
4.33Buts par match 4.50
3.83Buts contre par match 4.50
17.98%Pourcentage en avantage numérique20.00%
83.87%Pourcentage en désavantage numérique80.72%
Crunch
11-8-5, 27pts
Jour 65
Comets
14-8-2, 30pts
Statistiques d’équipe
OTL1SéquenceW2
6-3-3Fiche domicile7-3-2
5-5-2Fiche visiteur7-5-0
6-2-210 derniers matchs6-3-1
3.38Buts par match 4.33
3.71Buts contre par match 4.33
16.35%Pourcentage en avantage numérique17.98%
82.83%Pourcentage en désavantage numérique83.87%
Comets
14-8-2, 30pts
Jour 67
Americans
11-11-1, 23pts
Statistiques d’équipe
W2SéquenceL2
7-3-2Fiche domicile6-6-0
7-5-0Fiche visiteur5-5-1
6-3-110 derniers matchs4-5-1
4.33Buts par match 3.78
3.83Buts contre par match 3.78
17.98%Pourcentage en avantage numérique28.09%
83.87%Pourcentage en désavantage numérique80.37%
Meneurs d'équipe
Buts
Brett Seney
16
Passes
Brett Seney
19
Points
Brett Seney
35
Plus/Moins
Vincent Desharnais
15
Victoires
Juuse Saros
8
Pourcentage d’arrêts
Akira Schmid
0.895

Statistiques d’équipe
Buts pour
104
4.33 GFG
Tirs pour
851
35.46 Avg
Pourcentage en avantage numérique
18.0%
16 GF
Début de zone offensive
38.6%
Buts contre
92
3.83 GAA
Tirs contre
807
33.63 Avg
Pourcentage en désavantage numérique
83.9%%
10 GA
Début de la zone défensive
32.9%
Informations de l'équipe

Directeur généralMatthieu Gauvin
EntraîneurLarry Robinson
DivisionMax-Sillig
ConférenceLouis-Magnus
CapitaineIlya Lyubushkin
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,823
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 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
1Valeri Nichushkin (R)X100.007635827487757170787781637666524540730241950,000$
2Brett Seney (R)X100.006035828367736879677281667257544242720231900,000$
3Conor Garland (R)X100.007750827882657973647577676354494453720231900,000$
4Joonas DonskoiX100.006625777268747875778272637271613253710271900,000$
5Mason Marchment (R)X100.007133846572687469706984597054514553690242600,000$
6Brett Howden (R)X100.006230877366836868737769706743455542690213700,000$
7Alexandre Texier (R)X100.005930797861736474677172637644446353680203700,000$
8Eeli Tolvanen (R)X100.006023846765667664585880617142445953650204500,000$
9Nicolas Roy (R)X100.005842747165616270696663566146464242630222750,000$
10David Kase (R)X100.006533676662636863676469566746464050620222900,000$
11Alex Turcotte (R)X100.006146706262675961666664586840407453610182500,000$
12Nikita Nesterenko (R)X100.005234754973616256665976355740407330580182500,000$
13Ilya Lyubushkin (R) (C)X100.008247737975786373537562755863554250730251950,000$
14Christian Wolanin (R)X100.007433857266697772487680685661544453720242900,000$
15Jake Bean (R)X100.006334778164707179497767745052465453700213750,000$
16Wyatt Kalynuk (R)X99.685929807761557683467155775148505631680223700,000$
17Marcus Bjork (R)X100.006441757464747270466456735846485953670221500,000$
18Vincent Desharnais (R)X100.006842676366766552426359673950493553630231500,000$
19Filip Roos (R)X100.006538716061656069515861635743456953610201500,000$
Rayé
1Cristiano Digiacinto (R)X100.005836817360727059667159735847473829650231500,000$
2John Hayden (R)X68.246443806865676769726965536349493633650241500,000$
3Graeme Clarke (R)X100.005042746552615755625853545540406720560182500,000$
MOYENNE D’ÉQUIPE98.54643678706769696862696863625048514567
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
1Juuse Saros98.00657877686676776771807159494459710242850,000$
2Akira Schmid100.00765761806958566761577742427259620191500,000$
Rayé
MOYENNE D’ÉQUIPE99.0071686974686767676669745146585967
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Larry Robinson77935682998345Can771600,000$


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)C21161935460183795166316.84%1844721.3042613630003361146.42%657157011.5711000421
2Joonas DonskoiComets (N.J)RW24141731-160393094305614.89%1746219.252571373000083052.38%42155001.3400000221
3Conor GarlandComets (N.J)RW2471724-48038227920408.86%1042017.5104413690000130143.33%30189001.1401000110
4Ilya LyubushkinComets (N.J)D2431720-1241557604814196.25%4164126.732461187000041000%01825000.6200010003
5Valeri NichushkinComets (N.J)LW1451318660191540141512.50%627519.671348420000190150.00%4253001.3112000013
6Brett HowdenComets (N.J)C2411718-900203976204114.47%1143918.321237641012312044.88%381412000.8200000210
7Alexandre TexierComets (N.J)RW2410717640202472154413.89%732013.36011010000041157.14%35139001.0600000200
8John HaydenComets (N.J)C22511161115182534123114.71%428613.011012120000150150.00%16682001.1200010101
9Christian WolaninComets (N.J)D244913-9202841471078.51%4057023.761341187000047100%0514000.4600000111
10Mason MarchmentComets (N.J)LW246713-64042314382013.95%1046719.493255690001331060.00%2545000.5600000011
11Jake BeanComets (N.J)D242810-26021383820175.26%1846419.37000457000134000%0421000.4300000001
12David KaseComets (N.J)RW24628740181235131617.14%102078.6700001000001077.78%972000.7700000000
13Marcus BjorkComets (N.J)D240881340924173120%2335914.9800017000020000%0811000.4500000000
14Nicolas RoyComets (N.J)C16437520953891710.53%21428.8900000000022048.44%6433000.9800000100
15Eeli TolvanenComets (N.J)LW24437-72017132571216.00%1131713.23000030000101044.44%18112000.4400000000
16Vincent DesharnaisComets (N.J)D24077151801726121270%2032313.480000000008000%015000.4300000000
17Cristiano DigiacintoComets (N.J)LW10246620814169912.50%115515.571011250000130075.00%810000.7700000000
18Wyatt KalynukComets (N.J)D220661202023158150%2241418.86011150011035000%059000.2900000000
19Alex TurcotteComets (N.J)LW2424662017191851411.11%42058.5600000000110066.67%310000.5800000000
20Nikita NesterenkoComets (N.J)C102021002671228.57%210210.2200000000010052.27%4401000.3900000000
21Filip RoosComets (N.J)D2401122014102300%51295.400000000003000%002000.1500000000
Statistiques d’équipe totales ou en moyenne451103170273231321045151485124945712.10%282715315.8616274390727112838313547.70%1524136157010.762402014912
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
1Juuse SarosComets (N.J)178620.8833.909240060511264111.0002159000
2Akira SchmidComets (N.J)106200.8953.4953300312951731000915110
Statistiques d’équipe totales ou en moyenne2714820.8873.75145700918064372122424110


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 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 Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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)G192000-01-01No205 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Alex TurcotteComets (N.J)LW182001-01-01Yes185 Lbs5 ft11NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Alexandre TexierComets (N.J)RW201999-01-01Yes186 Lbs6 ft1NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm700,000$488,614$0$0$No800,000$900,000$-------NoNo-------
Brett HowdenComets (N.J)C211998-01-01Yes194 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm700,000$488,614$0$0$No700,000$700,000$-------NoNo-------
Brett SeneyComets (N.J)C231996-01-01Yes156 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm900,000$628,218$0$0$No------------------
Christian WolaninComets (N.J)D241995-01-01Yes185 Lbs6 ft2NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm900,000$628,218$0$0$No950,000$--------No--------
Conor GarlandComets (N.J)RW231996-01-01Yes165 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm900,000$628,218$0$0$No------------------
Cristiano DigiacintoComets (N.J)LW231996-01-01Yes186 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
David KaseComets (N.J)RW221997-01-01Yes169 Lbs5 ft11NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm900,000$628,218$0$0$No900,000$--------No--------
Eeli TolvanenComets (N.J)LW201999-01-01Yes191 Lbs5 ft10NoNoFree AgentNoNo42024-08-21FalseFalsePro & Farm500,000$349,010$0$0$No600,000$700,000$900,000$------NoNoNo------
Filip RoosComets (N.J)D201999-01-01Yes190 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Graeme ClarkeComets (N.J)RW182001-01-01Yes174 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Ilya LyubushkinComets (N.J)D251994-01-01Yes201 Lbs6 ft2NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm950,000$663,119$0$0$No------------------
Jake BeanComets (N.J)D211998-01-01Yes187 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm750,000$523,515$0$0$No750,000$750,000$-------NoNo-------
John Hayden (sur la masse salariale)Comets (N.J)C241995-01-01Yes185 Lbs6 ft3NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm500,000$349,010$0$0$Yes------------------
Joonas DonskoiComets (N.J)RW271992-01-01No180 Lbs6 ft0NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm900,000$628,218$0$0$No------------------
Juuse SarosComets (N.J)G241995-01-01No185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm850,000$593,317$0$0$No850,000$--------No--------
Marcus BjorkComets (N.J)D221997-01-01Yes203 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Mason MarchmentComets (N.J)LW241995-01-01Yes209 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm600,000$418,812$0$0$No600,000$--------No--------
Nicolas RoyComets (N.J)C221997-01-01Yes200 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm750,000$523,515$0$0$No750,000$--------No--------
Nikita NesterenkoComets (N.J)C182001-01-01Yes183 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$349,010$0$0$No500,000$--------No--------Lien
Valeri NichushkinComets (N.J)LW241995-01-01Yes185 Lbs6 ft4NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm950,000$663,119$0$0$No------------------
Vincent DesharnaisComets (N.J)D231996-01-01Yes227 Lbs6 ft7NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm500,000$349,010$0$0$No------------------
Wyatt KalynukComets (N.J)D221997-01-01Yes180 Lbs6 ft1NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm700,000$488,614$0$0$No800,000$900,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2421.96188 Lbs6 ft11.79685,417$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valeri NichushkinBrett SeneyConor Garland40023
2Mason MarchmentBrett HowdenJoonas Donskoi30023
3Eeli TolvanenNicolas RoyAlexandre Texier20023
4Alex TurcotteNikita NesterenkoDavid Kase10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinChristian Wolanin40131
2Jake BeanWyatt Kalynuk30131
3Marcus BjorkVincent Desharnais20131
4Filip RoosIlya Lyubushkin10131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valeri NichushkinBrett SeneyConor Garland60014
2Mason MarchmentBrett HowdenJoonas Donskoi40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinChristian Wolanin60023
2Jake BeanWyatt Kalynuk40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brett SeneyValeri Nichushkin60122
2Brett HowdenMason Marchment40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinChristian Wolanin60140
2Jake BeanWyatt Kalynuk40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Seney60122Ilya LyubushkinChristian Wolanin60122
2Brett Howden40122Jake BeanWyatt Kalynuk40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brett SeneyValeri Nichushkin60122
2Brett HowdenMason Marchment40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinChristian Wolanin60122
2Jake BeanWyatt Kalynuk40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Valeri NichushkinBrett SeneyConor GarlandIlya LyubushkinChristian Wolanin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Valeri NichushkinBrett SeneyConor GarlandIlya LyubushkinChristian Wolanin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Marchment, Brett Howden, Alexandre TexierMason Marchment, Brett HowdenMason Marchment
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marcus Bjork, Vincent Desharnais, Filip RoosMarcus BjorkMarcus Bjork, Vincent Desharnais
Tirs de pénalité
Valeri Nichushkin, Conor Garland, Brett Seney, Joonas Donskoi, Mason Marchment
Gardien
#1 : Juuse Saros, #2 : Akira Schmid
Lignes d’attaque personnalisées en prolongation
Valeri Nichushkin, Conor Garland, Brett Seney, Joonas Donskoi, Mason Marchment, Brett Howden, Brett Howden, Alexandre Texier, Eeli Tolvanen, Nicolas Roy, David Kase
Lignes de défense personnalisées en prolongation
Ilya Lyubushkin, Christian Wolanin, Jake Bean, Wyatt Kalynuk, Marcus Bjork


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
1Admirals1000010023-11000010023-10000000000010.50023500362837442276283277183713413300.00%20100.00%028758149.40%24949650.20%19143044.42%517299515217426217
2Bears220000001358110000007341100000062441.0001319320036283746127628327718653334426116.67%12283.33%028758149.40%24949650.20%19143044.42%517299515217426217
3Canucks21100000910-11010000024-21100000076120.500916250036283747327628327718572112378112.50%6266.67%128758149.40%24949650.20%19143044.42%517299515217426217
4Condors1010000035-2000000000001010000035-200.0003690036283744427628327718338414200.00%20100.00%028758149.40%24949650.20%19143044.42%517299515217426217
5Firebirds430010002113821001000116522000000107381.0002136570036283741342762832771812434307017317.65%15193.33%028758149.40%24949650.20%19143044.42%517299515217426217
6Griffins1010000046-21010000046-20000000000000.00048120036283743027628327718429414100.00%20100.00%028758149.40%24949650.20%19143044.42%517299515217426217
7Gulls2110000010100110000007521010000035-220.500101727103628374712762832771878188457342.86%4175.00%028758149.40%24949650.20%19143044.42%517299515217426217
8Islander3110100012120210010008531010000047-340.66712193100362837410527628327718963985518316.67%5260.00%028758149.40%24949650.20%19143044.42%517299515217426217
9Little Stars22000000963110000003211100000064241.0009142300362837475276283277186936437900.00%20100.00%028758149.40%24949650.20%19143044.42%517299515217426217
10Marlies1000010056-11000010056-10000000000010.5005914003628374402762832771827102194250.00%10100.00%028758149.40%24949650.20%19143044.42%517299515217426217
11Penguins20100010550000000000002010001055020.50057120036283747427628327718752510406116.67%5260.00%028758149.40%24949650.20%19143044.42%517299515217426217
12Phantoms1010000025-3000000000001010000025-300.00024600362837436276283277183513222200.00%10100.00%028758149.40%24949650.20%19143044.42%517299515217426217
13Thunderbirds11000000514000000000001100000051421.000561100362837436276283277183488203133.33%40100.00%028758149.40%24949650.20%19143044.42%517299515217426217
14Wolfpack1010000045-11010000045-10000000000000.0004610003628374302762832771835152233133.33%10100.00%028758149.40%24949650.20%19143044.42%517299515217426217
Total241180221010492121253022005345812650001051474300.62510417027410362837485127628327718807282132451891617.98%621083.87%128758149.40%24949650.20%19143044.42%517299515217426217
_Since Last GM Reset241180221010492121253022005345812650001051474300.62510417027410362837485127628327718807282132451891617.98%621083.87%128758149.40%24949650.20%19143044.42%517299515217426217
_Vs Conference17104020107857218420200035251096200010433211260.7657812320100362837458827628327718555211108324701115.71%50982.00%128758149.40%24949650.20%19143044.42%517299515217426217
_Vs Division96102000463016530020002614124310000020164160.8894674120003628374300276283277182851067216741717.07%32584.38%028758149.40%24949650.20%19143044.42%517299515217426217

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2430W210417027485180728213245110
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
24118221010492
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
125322005345
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
126500105147
Derniers 10 matchs
WLOTWOTL SOWSOL
530110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
891617.98%621083.87%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
276283277183628374
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
28758149.40%24949650.20%19143044.42%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
517299515217426217


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
311Comets6Bears2WR1Sommaire du match
517Bears3Comets7WSommaire du match
834Canucks4Comets2LSommaire du match
1048Comets4Islander7LR1Sommaire du match
1258Islander2Comets3WXSommaire du match
1783Wolfpack5Comets4LSommaire du match
1991Comets1Penguins2LSommaire du match
21107Admirals3Comets2LXSommaire du match
24121Comets4Firebirds3WR1Sommaire du match
26133Firebirds3Comets7WSommaire du match
30154Comets7Canucks6WSommaire du match
31162Firebirds3Comets4WXR1Sommaire du match
36186Griffins6Comets4LSommaire du match
39201Comets5Thunderbirds1WSommaire du match
41209Marlies6Comets5LXSommaire du match
45228Comets3Condors5LSommaire du match
47235Little Stars2Comets3WSommaire du match
49245Comets6Little Stars4WSommaire du match
51262Gulls5Comets7WSommaire du match
53269Comets2Phantoms5LSommaire du match
55278Comets3Gulls5LSommaire du match
57290Comets4Penguins3WXXSommaire du match
59295Comets6Firebirds4WR1Sommaire du match
61306Islander3Comets5WR1Sommaire du match
63319Comets-Griffins-
65327Crunch-Comets-
67344Comets-Americans-
69354Comets-Crunch-
70360Islander-Comets-
73379Griffins-Comets-
76390Comets-Islander-
78398Comets-Icehogs-
80409Rockets-Comets-
83429Wolfpack-Comets-
85439Comets-Wolfpack-
88455Checkers-Comets-
90463Comets-Admirals-
92470Comets-Eagles-
94485Icehogs-Comets-
97499Comets-Bears-
100512Penguins-Comets-
105532Comets-Punishers-
106540Bears-Comets-
110563Punishers-Comets-
112575Comets-Firebirds-
114585Comets-Wranglers-
116591Bears-Comets-
118604Comets-Senators-
120617Barracuda-Comets-
123629Comets-Punishers-
126642Admirals-Comets-
129661Comets-Marlies-
131671Moose-Comets-
134689Crunch-Comets-
137712Admirals-Comets-
139723Comets-Checkers-
142740Condors-Comets-
144751Comets-Barracuda-
146764Firebirds-Comets-
148775Comets-Admirals-
150787Comets-Bears-
152796Eagles-Comets-
156817Senators-Comets-
159828Comets-Little Stars-
161841Phantoms-Comets-
163854Comets-Penguins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
165865Comets-Thunderbirds-
167872Eagles-Comets-
171894Wranglers-Comets-
172895Comets-Rockets-
174909Comets-Islander-
176920Comets-Condors-
177928Canucks-Comets-
179940Comets-Canucks-
183960Canucks-Comets-
185970Comets-Moose-
188984Thunderbirds-Comets-
1921003Comets-Checkers-
1941013Thunderbirds-Comets-
2011040Americans-Comets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance22,69711,184
Assistance PCT94.57%93.20%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 2823 - 94.11% 178,163$2,137,958$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
666,374$ 1,595,000$ 1,555,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,896$ 472,549$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,988,569$ 141 10,866$ 1,532,106$




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