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Comets
GP: 80 | W: 45 | L: 30 | OTL: 5 | P: 95
GF: 321 | GA: 295 | PP%: 15.97% | PK%: 77.53%
DG: Matthieu Gauvin | Morale : 54 | Moyenne d’équipe : 66

Centre de jeu
Thunderbirds
36-37-7, 79pts
3
FINAL
6 Comets
45-30-5, 95pts
Team Stats
L1SéquenceL1
17-18-5Fiche domicile25-11-4
19-19-2Fiche domicile20-19-1
4-4-2Derniers 10 matchs6-4-0
4.01Buts par match 4.01
4.14Buts contre par match 3.69
20.89%Pourcentage en avantage numérique15.97%
75.30%Pourcentage en désavantage numérique77.53%
Americans
39-32-9, 87pts
6
FINAL
4 Comets
45-30-5, 95pts
Team Stats
W3SéquenceL1
18-17-5Fiche domicile25-11-4
21-15-4Fiche domicile20-19-1
4-3-3Derniers 10 matchs6-4-0
4.00Buts par match 4.01
4.25Buts contre par match 3.69
25.09%Pourcentage en avantage numérique15.97%
79.01%Pourcentage en désavantage numérique77.53%
Meneurs d'équipe
Buts
Brett Seney
49
Passes
Brett Seney
51
Points
Brett Seney
100
Plus/Moins
Alexandre Texier
17
Victoires
Juuse Saros
31
Pourcentage d’arrêts
Juuse Saros
0.896

Statistiques d’équipe
Buts pour
321
4.01 GFG
Tirs pour
2751
34.39 Avg
Pourcentage en avantage numérique
16.0%
46 GF
Début de zone offensive
38.2%
Buts contre
295
3.69 GAA
Tirs contre
2695
33.69 Avg
Pourcentage en désavantage numérique
77.5%%
40 GA
Début de la zone défensive
34.8%
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
Assistance2,859
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 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 NichushkinX100.007635827487757170787781637666524561730241950,000$
2Brett Seney (R)X100.006035828367736879677281667257544249720231900,000$
3Conor Garland (R)X100.007750827882657973647577676354494474720231900,000$
4Joonas DonskoiX100.006625777268747875778272637271613274710271900,000$
5Mason MarchmentX100.007133846572687469706984597054514574690242600,000$
6Brett Howden (R)X100.006230877366836868737769706743455564690213700,000$
7Alexandre Texier (R)X100.005930797861736474677172637644446374680203700,000$
8Cristiano Digiacinto (R)X100.005836817360727059667159735847473827650231500,000$
9John HaydenX100.006443806865676769726965536349493639650241500,000$
10Eeli Tolvanen (R)X100.006023846765667664585880617142445974650204500,000$
11Nicolas Roy (R)X100.005842747165616270696663566146464252630222750,000$
12David Kase (R)X98.256533676662636863676469566746464061620222900,000$
13Ilya Lyubushkin (C)X100.008247737975786373537562755863554260730251950,000$
14Christian WolaninX100.007433857266697772487680685661544474720242900,000$
15Jake Bean (R)X100.006334778164707179497767745052465466700213750,000$
16Wyatt Kalynuk (R)X100.005929807761557683467155775148505640680223700,000$
17Marcus Bjork (R)X100.006441757464747270466456735846485958670221500,000$
18Vincent Desharnais (R)X100.006842676366766552426359673950493574630231500,000$
19Filip Roos (R)X100.006538716061656069515861635743456974610201500,000$
Rayé
1Alex Turcotte (R)X100.006146706262675961666664586840407449610182500,000$
2Nikita Nesterenko (R)X100.005234754973616256665976355740407321580182500,000$
3Graeme Clarke (R)X100.005042746552615755625853545540406720560182500,000$
4Jonathan Kovacevic (R)X100.006336655959675749396342643844463933580221500,000$
MOYENNE D’ÉQUIPE99.92643677706669686761696763615048505666
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 Saros100.00657877686676776771807159494483710242850,000$
2Akira Schmid100.00765761806958566761577742427283620191500,000$
Rayé
MOYENNE D’ÉQUIPE100.0071686974686767676669745146588367
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)C7149511002120541412887518717.01%49150521.2011920422240114926347.58%21276423231.33220001052
2Joonas DonskoiComets (N.J)RW80414889-10320126942658816315.47%44155919.5061420332480000218256.15%1304328011.1400000373
3Conor GarlandComets (N.J)RW803551864240138862978814911.78%44143417.936814342261012534442.11%766632001.2003000536
4Valeri NichushkinComets (N.J)LW702650762260121871985812113.13%39147521.0861218282221014804248.02%1774224101.0324000339
5Brett HowdenComets (N.J)C80234568-100591412285813910.09%32148718.604610222211123993048.20%13072742000.9100000224
6Alexandre TexierComets (N.J)RW802827551712068722446214011.48%17104013.01022121000084142.86%704822001.0600000620
7Ilya LyubushkinComets (N.J)D71123749-1841018213514251538.45%120188426.544610232430110116100%04455000.5200011325
8Mason MarchmentComets (N.J)LW80202848-3140107106142387114.08%33145718.224711112220003762154.05%741620000.6600000062
9Christian WolaninComets (N.J)D8083644-4809512513737565.84%119191223.91369212860003149100%03751000.4600000122
10John HaydenComets (N.J)C621323363235705384368315.48%1778612.691012170000250250.11%447164000.9200010102
11Nicolas RoyComets (N.J)C681618346603439111326914.41%146499.55000180001244250.00%3101511011.0500000310
12Jake BeanComets (N.J)D775293401806112111753534.27%61153019.88022151910002102000%02755100.4400000003
13Wyatt KalynukComets (N.J)D771293011260551048443501.19%88151519.680223192011099000%02644000.4000000100
14David KaseComets (N.J)RW8016102671207232103275015.53%166468.0800001000002268.42%191512000.8000000122
15Eeli TolvanenComets (N.J)LW8091019920625082234110.98%2199812.49000090000282039.22%51922000.3800000002
16Marcus BjorkComets (N.J)D7621315108039756514313.08%74114315.04000341000057100%01528000.2600000000
17Cristiano DigiacintoComets (N.J)LW266814620242944131913.64%834813.421011260000390050.00%1663000.8000000100
18Vincent DesharnaisComets (N.J)D80013131340077664424140%66109013.6300008000022000%0530000.2400000001
19Alex TurcotteComets (N.J)LW70371034037384115267.32%115217.4500000000110058.33%1243000.3800000000
20Nikita NesterenkoComets (N.J)C26617800719172635.29%426710.2800002000051044.36%13312000.5200000100
21Filip RoosComets (N.J)D80044101003822181050%245166.450000400008000%0112000.1600000000
22Jonathan KovacevicComets (N.J)D9011-520550110%1667.420000000001000%003000.3000000000
Statistiques d’équipe totales ou en moyenne15033195398588736515153116402751848152711.60%9022384015.8646741202402421347231113431948.25%4949527526450.7249021413543
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)62312150.8963.483416401981901954330.62585426071
2Akira SchmidComets (N.J)2814900.8843.901417009279043811002654211
Statistiques d’équipe totales ou en moyenne90453050.8923.60483440290269113924488080282


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)G192000-01-01CHENo205 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Alex TurcotteComets (N.J)LW182001-01-01USAYes185 Lbs5 ft11NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Alexandre TexierComets (N.J)RW201999-01-01FRAYes186 Lbs6 ft1NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm700,000$0$0$No800,000$900,000$-------700,000$700,000$-------NoNo-------
Brett HowdenComets (N.J)C211998-01-01CANYes194 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Brett SeneyComets (N.J)C231996-01-01CANYes156 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Christian WolaninComets (N.J)D241995-01-01CANNo185 Lbs6 ft2NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm900,000$0$0$No950,000$--------900,000$--------No--------
Conor GarlandComets (N.J)RW231996-01-01USAYes165 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Cristiano DigiacintoComets (N.J)LW231996-01-01CANYes186 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
David KaseComets (N.J)RW221997-01-01CZEYes169 Lbs5 ft11NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Eeli TolvanenComets (N.J)LW201999-01-01FINYes191 Lbs5 ft10NoNoFree AgentNoNo42024-08-21FalseFalsePro & Farm500,000$0$0$No600,000$700,000$900,000$------500,000$500,000$500,000$------NoNoNo------
Filip RoosComets (N.J)D201999-01-01SWEYes190 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Graeme ClarkeComets (N.J)RW182001-01-01USAYes174 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Ilya LyubushkinComets (N.J)D251994-01-01RUSNo201 Lbs6 ft2NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm950,000$0$0$No---------------------------
Jake BeanComets (N.J)D211998-01-01CANYes187 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
John HaydenComets (N.J)C241995-01-01USANo185 Lbs6 ft3NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm500,000$0$0$No---------------------------
Jonathan KovacevicComets (N.J)D221997-01-01CANYes208 Lbs6 ft4NoNoFree AgentNoNo12025-04-05FalseFalsePro & Farm500,000$0$0$No---------------------------
Joonas DonskoiComets (N.J)RW271992-01-01FINNo180 Lbs6 ft0NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm900,000$0$0$No---------------------------
Juuse SarosComets (N.J)G241995-01-01FINNo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------
Marcus BjorkComets (N.J)D221997-01-01SWEYes203 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Mason MarchmentComets (N.J)LW241995-01-01CANNo209 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------
Nicolas RoyComets (N.J)C221997-01-01CANYes200 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------
Nikita NesterenkoComets (N.J)C182001-01-01USAYes183 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Valeri NichushkinComets (N.J)LW241995-01-01RUSNo185 Lbs6 ft4NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm950,000$0$0$No---------------------------
Vincent DesharnaisComets (N.J)D231996-01-01CANYes227 Lbs6 ft7NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm500,000$0$0$No---------------------------
Wyatt KalynukComets (N.J)D221997-01-01CANYes180 Lbs6 ft1NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm700,000$0$0$No800,000$900,000$-------700,000$700,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2521.96189 Lbs6 ft11.76678,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valeri NichushkinBrett SeneyJoonas Donskoi40023
2Mason MarchmentBrett HowdenConor Garland30023
3Eeli TolvanenJohn HaydenAlexandre Texier20023
4Cristiano DigiacintoNicolas RoyDavid Kase10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinChristian Wolanin40032
2Jake BeanWyatt Kalynuk30032
3Marcus BjorkVincent Desharnais20032
4Filip RoosIlya Lyubushkin10032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valeri NichushkinBrett SeneyJoonas Donskoi60014
2Mason MarchmentBrett HowdenConor Garland40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinChristian Wolanin60023
2Jake BeanWyatt Kalynuk40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nicolas RoyCristiano Digiacinto60131
2Brett HowdenConor Garland40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinChristian Wolanin60140
2Vincent DesharnaisMarcus Bjork40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Seney60131Ilya LyubushkinChristian Wolanin60140
2Brett Howden40131Jake BeanWyatt Kalynuk40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brett SeneyValeri Nichushkin60023
2Brett HowdenConor Garland40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinChristian Wolanin60032
2Jake BeanWyatt Kalynuk40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Valeri NichushkinBrett SeneyJoonas DonskoiIlya LyubushkinChristian Wolanin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Valeri NichushkinBrett SeneyJoonas DonskoiIlya LyubushkinChristian Wolanin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexandre Texier, Eeli Tolvanen, Cristiano DigiacintoAlexandre Texier, Eeli TolvanenMason Marchment
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marcus Bjork, Vincent Desharnais, Filip RoosMarcus BjorkVincent Desharnais, Filip Roos
Tirs de pénalité
Valeri Nichushkin, Conor Garland, Brett Seney, Joonas Donskoi, Mason Marchment
Gardien
#1 : Juuse Saros, #2 : Akira Schmid, #3 : 0
Lignes d’attaque personnalisées en prolongation
Valeri Nichushkin, Conor Garland, Brett Seney, Joonas Donskoi, Mason Marchment, Brett Howden, Alexandre Texier, Cristiano Digiacinto, Eeli Tolvanen, John Hayden
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
1Admirals521011002016431001100108221100000108270.700203353008410212710178868939916361605430892129.52%15286.67%0946187750.40%812170947.51%630132447.58%172198516977211423730
2Americans211000009811010000046-21100000052320.500913220084102127107386893991636772312339222.22%6350.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
3Barracuda210001008711000010023-11100000064230.75081523008410212710768689399163660238473266.67%4250.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
4Bears6320100031247320010001789312000001416-280.66731528300841021271021886893991636192695012322313.64%20480.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
5Canucks532000001919031200000912-322000000107360.6001932510084102127101728689399163616051301031915.26%15473.33%1946187750.40%812170947.51%630132447.58%172198516977211423730
6Checkers311000101183110000005232010001066040.6671116270084102127108886893991636912816651119.09%8187.50%1946187750.40%812170947.51%630132447.58%172198516977211423730
7Condors302010001117-61000100065120200000512-720.333112031108410212710102868939916361053110421218.33%50100.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
8Crunch3210000015141211000009901100000065140.66715243900841021271098868939916361082912485240.00%6266.67%0946187750.40%812170947.51%630132447.58%172198516977211423730
9Eagles330000001275220000009541100000032161.00012223400841021271098868939916361063166114214.29%30100.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
10Firebirds6310100124195310010011284321000001211190.75024416500841021271019486893991636198563411421314.29%17288.24%0946187750.40%812170947.51%630132447.58%172198516977211423730
11Griffins311001001112-1211000008801000010034-130.5001122330084102127109486893991636118446508112.50%3166.67%0946187750.40%812170947.51%630132447.58%172198516977211423730
12Gulls2110000010100110000007521010000035-220.500101727108410212710718689399163678188457342.86%4175.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
13Icehogs20200000610-41010000025-31010000045-100.000611170084102127105686893991636653325424125.00%10280.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
14Islander623010002123-231101000972312000001216-460.50021325310841021271019886893991636193722011630620.00%11372.73%0946187750.40%812170947.51%630132447.58%172198516977211423730
15Little Stars3210000011110110000003212110000089-140.66711172800841021271011086893991636103566511317.69%30100.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
16Marlies20100100911-21000010056-11010000045-110.25091726008410212710798689399163665194408225.00%20100.00%1946187750.40%812170947.51%630132447.58%172198516977211423730
17Moose22000000165111100000010281100000063341.000162945008410212710728689399163664194436116.67%20100.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
18Penguins4120001012102110000005233020001078-140.5001219310084102127101478689399163613857168314214.29%8362.50%0946187750.40%812170947.51%630132447.58%172198516977211423730
19Phantoms20200000510-51010000035-21010000025-300.0005101510841021271074868939916366625648200.00%3166.67%0946187750.40%812170947.51%630132447.58%172198516977211423730
20Punishers320010001266110000004312100100083561.000121931008410212710998689399163610523186710220.00%9188.89%0946187750.40%812170947.51%630132447.58%172198516977211423730
21Rockets21100000550110000003121010000024-220.500591400841021271065868939916367127225700.00%10100.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
22Senators21100000810-21010000015-41100000075220.500811190084102127106586893991636692310399222.22%5340.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
23Thunderbirds440000002212102200000095422000000137681.0002236580084102127101598689399163612339146718422.22%70100.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
24Wolfpack31200000911-2211000008711010000014-320.33391625008410212710908689399163610029145411218.18%7271.43%0946187750.40%812170947.51%630132447.58%172198516977211423730
25Wranglers20200000410-61010000034-11010000016-500.000461000841021271075868939916368023836400.00%4325.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
Total8037300642132129526402011053011631333040171901120158162-4950.594321539860408410212710275186893991636269590236915312884615.97%1784077.53%3946187750.40%812170947.51%630132447.58%172198516977211423730
_Since Last GM Reset8037300642132129526402011053011631333040171901120158162-4950.594321539860408410212710275186893991636269590236915312884615.97%1784077.53%3946187750.40%812170947.51%630132447.58%172198516977211423730
_Vs Conference4927150402119916435241550300199702925121001020100946670.68419932652510841021271016718689399163616175402369521882915.43%1142280.70%2946187750.40%812170947.51%630132447.58%172198516977211423730
_Vs Division18860300176661094103001382315945000003843-5230.6397612520110841021271061086893991636583197104353731216.44%48981.25%0946187750.40%812170947.51%630132447.58%172198516977211423730

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8095L132153986027512695902369153140
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8037306421321295
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4020115301163133
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4017191120158162
Derniers 10 matchs
WLOTWOTL SOWSOL
540010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2884615.97%1784077.53%3
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
868939916368410212710
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
946187750.40%812170947.51%630132447.58%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
172198516977211423730


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
63319Comets3Griffins4LXSommaire du match
65327Crunch6Comets1LSommaire du match
67344Comets5Americans2WSommaire du match
69354Comets6Crunch5WSommaire du match
70360Islander2Comets1LR1Sommaire du match
73379Griffins2Comets4WSommaire du match
76390Comets3Islander2WR1Sommaire du match
78398Comets4Icehogs5LSommaire du match
80409Rockets1Comets3WSommaire du match
83429Wolfpack2Comets4WSommaire du match
85439Comets1Wolfpack4LSommaire du match
88455Checkers2Comets5WSommaire du match
90463Comets2Admirals5LSommaire du match
92470Comets3Eagles2WSommaire du match
94485Icehogs5Comets2LSommaire du match
97499Comets5Bears9LR1Sommaire du match
100512Penguins2Comets5WSommaire du match
105532Comets5Punishers1WSommaire du match
106540Bears3Comets4WXR1Sommaire du match
110563Punishers3Comets4WSommaire du match
112575Comets2Firebirds4LR1Sommaire du match
114585Comets1Wranglers6LSommaire du match
116591Bears2Comets6WR1Sommaire du match
118604Comets7Senators5WSommaire du match
120617Barracuda3Comets2LXSommaire du match
123629Comets3Punishers2WXSommaire du match
126642Admirals3Comets5WSommaire du match
129661Comets4Marlies5LSommaire du match
131671Moose2Comets10WSommaire du match
134689Crunch3Comets8WSommaire du match
137712Admirals2Comets3WXSommaire du match
139723Comets1Checkers2LSommaire du match
142740Condors5Comets6WXSommaire du match
144751Comets6Barracuda4WSommaire du match
146764Firebirds2Comets1LXXR1Sommaire du match
148775Comets8Admirals3WSommaire du match
150787Comets3Bears5LR1Sommaire du match
152796Eagles2Comets5WSommaire du match
156817Senators5Comets1LSommaire du match
159828Comets2Little Stars5LSommaire du match
161841Phantoms5Comets3LSommaire du match
163854Comets2Penguins3LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
165865Comets8Thunderbirds6WSommaire du match
167872Eagles3Comets4WSommaire du match
171894Wranglers4Comets3LSommaire du match
172895Comets2Rockets4LSommaire du match
174909Comets5Islander7LR1Sommaire du match
176920Comets2Condors7LSommaire du match
177928Canucks5Comets2LSommaire du match
179940Comets3Canucks1WSommaire du match
183960Canucks3Comets5WSommaire du match
185970Comets6Moose3WSommaire du match
188984Thunderbirds2Comets3WSommaire du match
1921003Comets5Checkers4WXXSommaire du match
1941013Thunderbirds3Comets6WSommaire du match
2011040Americans6Comets4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance76,78937,581
Assistance PCT95.99%93.95%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2859 - 95.31% 180,560$7,222,397$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,238,672$ 1,695,000$ 1,695,000$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,391$ 1,610,882$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 11,361$ 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