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Comets
GP: 80 | W: 36 | L: 36 | OTL: 8 | P: 80
GF: 325 | GA: 332 | PP%: 18.86% | PK%: 80.86%
DG: Matthieu Gauvin | Morale : 30 | Moyenne d’équipe : 66
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Centre de jeu
Wranglers
39-30-11, 89pts
4
FINAL
9 Comets
36-36-8, 80pts
Team Stats
W1SéquenceL1
19-16-5Fiche domicile20-16-4
20-14-6Fiche domicile16-20-4
5-3-2Derniers 10 matchs6-3-1
3.90Buts par match 4.06
4.00Buts contre par match 4.15
20.74%Pourcentage en avantage numérique18.86%
78.15%Pourcentage en désavantage numérique80.86%
Wranglers
39-30-11, 89pts
3
FINAL
2 Comets
36-36-8, 80pts
Team Stats
W1SéquenceL1
19-16-5Fiche domicile20-16-4
20-14-6Fiche domicile16-20-4
5-3-2Derniers 10 matchs6-3-1
3.90Buts par match 4.06
4.00Buts contre par match 4.15
20.74%Pourcentage en avantage numérique18.86%
78.15%Pourcentage en désavantage numérique80.86%
Meneurs d'équipe
Buts
Brett Seney
48
Passes
Joonas Donskoi
61
Points
Brett Seney
106
Plus/Moins
Reid Boucher
9
Victoires
Juuse Saros
30
Pourcentage d’arrêts
Juuse Saros
0.879

Statistiques d’équipe
Buts pour
325
4.06 GFG
Tirs pour
2608
32.60 Avg
Pourcentage en avantage numérique
18.9%
63 GF
Début de zone offensive
38.7%
Buts contre
332
4.15 GAA
Tirs contre
2608
32.60 Avg
Pourcentage en désavantage numérique
80.9%%
31 GA
Début de la zone défensive
33.1%
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
Assistance2,751
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 Nichushkin (R)X100.007635817285736872767679617459484950720231925,000$
2Joonas DonskoiX100.006425767370768074788073607167583544710261900,000$
3Brett Seney (R)X100.006035818163696476677079647050494629700222800,000$
4Conor Garland (R)X100.007550807680627770617674646249474840700222800,000$
5Reid BoucherX100.007029737178677265747581616454523639690251750,000$
6Jonny BrodzinskiX100.007036747763647670696774606651553750680251700,000$
7Mason Marchment (R)X100.006833836069637067676683556849484940660233600,000$
8Brett Howden (R)X100.005930867163816563727465666342436140660204700,000$
9Alexandre Texier (R)X100.005430757356696070626869587442427050640191500,000$
10Cristiano Digiacinto (R)X100.005636797057726755636956705544444250630222500,000$
11Nicolas Roy (R)X100.005342736863596068686460516044444629610213750,000$
12Eeli Tolvanen (R)X100.005523806262617260535577566941426639610191500,000$
13Ilya Lyubushkin (R) (C)X100.008447717877796370507561735656524642730241950,000$
14Christian Wolanin (R)X100.007433836963667570447678645555514940700231800,000$
15Jake Bean (R)X100.005934758059656778457565724646445940670204750,000$
16Wyatt Kalynuk (R)X100.005429787356517281416952744845486250640211500,000$
17Marcus Bjork (R)X100.006241706961727167395951695444466650630212500,000$
18Vincent Desharnais (R)X100.006942635965756351416157623647463825610221500,000$
19Filip Roos (R)X100.006238685458625767465558585441437730580192500,000$
Rayé
1Alan QuineX100.006029777766747478737373576660513326690251750,000$
2Tim Gettinger (R)X100.005730685467615762516164336742425319560201250,000$
3Darren DietzX100.007125728574787879577869766566503738730251950,000$
MOYENNE D’ÉQUIPE100.00643476716668696959696862615048503966
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 Saros99.00627677656377766367786853484950690233850,000$
2Akira Schmid (R)100.00735257776551506356527440408125580182500,000$
Rayé
1Jordan Binnington100.00666875686774806966746753523320700261500,000$
MOYENNE D’ÉQUIPE99.6767657070656769656368704947543266
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Larry Robinson77935682998345Can762600,000$


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)C734858106-15180551462698016317.84%40156421.431014243426310151137347.53%22896228131.3600000747
2Joonas DonskoiComets (N.J)RW77356196-2018088872668718613.16%44154620.0811172847282000004151.32%1524826011.2425000437
3Valeri NichushkinComets (N.J)LW80404686-141401511062396115516.74%55176922.11615213429001131355350.32%1554930010.9706000542
4Darren DietzComets (N.J)D70185169-2049515210818360779.84%122182326.0591322352810001115200%07446100.7600100451
5Conor GarlandComets (N.J)RW80412768-17160149932397315317.15%31131116.391171831226000005041.82%554023011.0415000233
6Reid BoucherComets (N.J)C69233659914081751584610114.56%1594313.6735810851012402153.30%5463012001.2500000253
7Alan QuineComets (N.J)C62232851-188065831596712014.47%22112618.175510161720113843050.47%9574521100.9101000114
8Jonny BrodzinskiComets (N.J)RW80262551322091622116110712.32%2490211.28112216000032050.00%24358001.1300000224
9Ilya LyubushkinComets (N.J)D7053540-124351831359546405.26%94178025.4331114192760000110100%02944000.4500010024
10Alexandre TexierComets (N.J)RW80142337-24039621335111410.53%2382210.29000017000011135.48%312913000.9000000201
11Christian WolaninComets (N.J)D7743236-81001151038938354.49%84160620.86235112320111107000%02838000.4500000120
12Brett HowdenComets (N.J)C80152035-10003589131367711.45%3185410.6800001000042049.25%4001615010.8200000110
13Jake BeanComets (N.J)D8043034-133406211610359503.88%72154919.371457199011096000%02953000.4400000020
14Mason MarchmentComets (N.J)LW7582028-1880769267284911.94%20126116.8212362160002460046.77%621120000.4400000010
15Cristiano DigiacintoComets (N.J)LW807916560547949173414.29%3593311.670000210000640041.67%241022000.3400000011
16Wyatt KalynukComets (N.J)D8001515-8180301005225190%72120215.03011064000053000%01437000.2500000000
17Eeli TolvanenComets (N.J)LW769413-280465156163316.07%1977110.1500001000051057.89%191614000.3400000001
18Marcus BjorkComets (N.J)D80268-832064715124153.92%68106713.34000010000023000%0733000.1500000000
19Nicolas RoyComets (N.J)C36257-2002733419284.88%93429.53000020000150048.48%16585000.4100000000
20Vincent DesharnaisComets (N.J)D44033-5120433511850%304199.520000000007000%005000.1400000000
21Filip RoosComets (N.J)D440000007102110%52154.900000000001000%01100000000000
22Tim GettingerComets (N.J)LW4000-420444040%05413.600000000001000%20000000000000
Statistiques d’équipe totales ou en moyenne1497324534858-17933610161717402608893156612.42%9152386915.946398161252266224617102935948.99%4881581494370.72317110313638
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)64302170.8793.893502202271877954220.417125822111
2Akira SchmidComets (N.J)195910.8684.098800060455255100.50021438010
3Jordan BinningtonComets (N.J)91600.8615.0045600382741390000820000
Statistiques d’équipe totales ou en moyenne92363680.8754.034839203252606134832148080121


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)G182000-01-01Yes205 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Alan QuineComets (N.J)C251993-01-01No200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$3,731$0$0$No------------------
Alexandre TexierComets (N.J)RW191999-01-01Yes186 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Brett HowdenComets (N.J)C201998-01-01Yes194 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm700,000$3,483$0$0$No700,000$700,000$700,000$------NoNoNo------
Brett SeneyComets (N.J)C221996-01-01Yes156 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm800,000$3,980$0$0$No900,000$--------No--------
Christian WolaninComets (N.J)D231995-01-01Yes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$3,980$0$0$No------------------
Conor GarlandComets (N.J)RW221996-01-01Yes165 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm800,000$3,980$0$0$No900,000$--------No--------
Cristiano DigiacintoComets (N.J)LW221996-01-01Yes186 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
Darren DietzComets (N.J)D251993-01-01No201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$4,726$0$0$No------------------
Eeli TolvanenComets (N.J)LW191999-01-01Yes191 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Filip RoosComets (N.J)D191999-01-01Yes190 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Ilya LyubushkinComets (N.J)D241994-01-01Yes201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm950,000$4,726$0$0$No------------------
Jake BeanComets (N.J)D201998-01-01Yes187 Lbs6 ft1NoNoN/ANoNo4FalseFalsePro & Farm750,000$3,731$0$0$No750,000$750,000$750,000$------NoNoNo------
Jonny BrodzinskiComets (N.J)RW251993-01-01No185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm700,000$3,483$0$0$No------------------
Joonas DonskoiComets (N.J)RW261992-01-01No180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Jordan BinningtonComets (N.J)G261992-01-01No173 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Juuse SarosComets (N.J)G231995-01-01No185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm850,000$4,229$0$0$No850,000$850,000$-------NoNo-------
Marcus BjorkComets (N.J)D211997-01-01Yes203 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Lien
Mason MarchmentComets (N.J)LW231995-01-01Yes209 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm600,000$2,985$0$0$No600,000$600,000$-------NoNo-------
Nicolas RoyComets (N.J)C211997-01-01Yes200 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm750,000$3,731$0$0$No750,000$750,000$-------NoNo-------
Reid BoucherComets (N.J)C251993-01-01No195 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$3,731$0$0$No------------------
Tim GettingerComets (N.J)LW201998-01-01Yes220 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm250,000$1,244$0$0$No------------------
Valeri NichushkinComets (N.J)LW231995-01-01Yes185 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,602$0$0$No------------------
Vincent DesharnaisComets (N.J)D221996-01-01Yes227 Lbs6 ft7NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Wyatt KalynukComets (N.J)D211997-01-01Yes180 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2522.16192 Lbs6 ft11.72669,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valeri NichushkinBrett SeneyJoonas Donskoi36023
2Mason MarchmentReid BoucherConor Garland28023
3Cristiano DigiacintoBrett HowdenJonny Brodzinski18023
4Eeli TolvanenNicolas RoyAlexandre Texier18023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinChristian Wolanin35131
2Jake BeanWyatt Kalynuk30131
3Marcus BjorkVincent Desharnais25131
4Filip RoosIlya Lyubushkin10131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Valeri NichushkinBrett SeneyJoonas Donskoi60005
2Mason MarchmentReid BoucherConor Garland40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinChristian Wolanin60023
2Jake BeanWyatt Kalynuk40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brett SeneyValeri Nichushkin60131
2Reid BoucherMason Marchment40131
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 Seney60131Ilya LyubushkinChristian Wolanin60140
2Reid Boucher40131Jake BeanWyatt Kalynuk40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brett SeneyValeri Nichushkin60023
2Reid BoucherMason Marchment40023
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
Reid Boucher, Jonny Brodzinski, Mason MarchmentReid Boucher, Jonny BrodzinskiReid Boucher
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marcus Bjork, Vincent Desharnais, Filip RoosMarcus BjorkMarcus Bjork, Vincent Desharnais
Tirs de pénalité
Valeri Nichushkin, Joonas Donskoi, Conor Garland, Brett Seney, Reid Boucher
Gardien
#1 : Juuse Saros, #2 : Akira Schmid
Lignes d’attaque personnalisées en prolongation
Valeri Nichushkin, Joonas Donskoi, Conor Garland, Brett Seney, Reid Boucher, Jonny Brodzinski, Jonny Brodzinski, Mason Marchment, Brett Howden, Alexandre Texier, Cristiano Digiacinto
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
1Admirals312000001215-321100000101001010000025-320.33312193100102116102788905876814301102686913538.46%4175.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
2Americans20200000811-31010000057-21010000034-100.00081422001021161027769058768143072176355120.00%30100.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
3Barracuda2110000078-1110000005321010000025-320.5007111800102116102775905876814305624942800.00%2150.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
4Bears633000002327-43210000012102312000001117-660.50023376000102116102717790587681430198653810918316.67%19289.47%0913187248.77%804160450.12%674136449.41%1749100116557241441739
5Canucks3210000013112110000007522110000066040.667132033001021161027959058768143010735106715213.33%50100.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
6Checkers3110100012932100100011561010000014-340.667122032001021161027789058768143010152125910330.00%60100.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
7Condors20200000512-71010000025-31010000037-400.000571200102116102764905876814308030639700.00%30100.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
8Crunch412000011014-42010000179-22110000035-230.375101727001021161027114905876814301185110711500.00%5180.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
9Eagles42001001201461100000075231001001139470.875203151001021161027138905876814301225289812325.00%4175.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
10Griffins20200000812-41010000046-21010000046-200.000812200010211610276590587681430722610378225.00%5260.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
11Icehogs2020000059-41010000024-21010000035-200.00058130010211610276690587681430522112397114.29%60100.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
12Islander6320000125250311000011314-1321000001211170.58325426700102116102716390587681430213533611834411.76%18194.44%1913187248.77%804160450.12%674136449.41%1749100116557241441739
13Little Stars301010011012-22010100067-11000000145-130.5001016260010211610271059058768143010039125610110.00%6183.33%1913187248.77%804160450.12%674136449.41%1749100116557241441739
14Marlies312000001015-52110000089-11010000026-420.33310172700102116102711190587681430944312541317.69%5260.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
15Moose220000001165110000006331100000053241.00011193000102116102772905876814305423104412541.67%5340.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
16Penguins3110100014122211000009811000100054140.66714213510102116102711690587681430823686312325.00%4175.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
17Phantoms220000001293110000006511100000064241.000121830001021161027539058768143072322447228.57%10100.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
18Punishers421001001816211000000431311001001413150.6251828460010211610271409058768143012941147022627.27%6183.33%0913187248.77%804160450.12%674136449.41%1749100116557241441739
19Reign2020000057-21010000012-11010000045-100.0005101500102116102763905876814305812103913215.38%5260.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
20Rocket21100000990110000006331010000036-320.500915240010211610277590587681430802916299222.22%8187.50%0913187248.77%804160450.12%674136449.41%1749100116557241441739
21Senators220000001495110000009631100000053241.0001426400010211610276690587681430642444111218.18%2150.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
22Silver Knights842002003629742100100161424210010020155100.625366410000102116102727490587681430246764717039717.95%21480.95%0913187248.77%804160450.12%674136449.41%1749100116557241441739
23Thunderbirds40300001819-112010000136-320200000513-810.1258142200102116102712890587681430137471210615320.00%6266.67%0913187248.77%804160450.12%674136449.41%1749100116557241441739
24Wolfpack31200000141131010000034-121100000117420.333142337101021161027103905876814301022418541119.09%9366.67%0913187248.77%804160450.12%674136449.41%1749100116557241441739
25Wranglers31100010161152110000011741000001054140.6671625410010211610271039058768143089378658450.00%4175.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
Total80313604315325332-7401816021031731601340132002212152172-20800.500325534859201021161027260890587681430260891533816183346318.86%1623180.86%2913187248.77%804160450.12%674136449.41%1749100116557241441739
_Since Last GM Reset80313604315325332-7401816021031731601340132002212152172-20800.500325534859201021161027260890587681430260891533816183346318.86%1623180.86%2913187248.77%804160450.12%674136449.41%1749100116557241441739
_Vs Conference51201904305203199424108021039890827101102202105109-4560.549203333536201021161027163190587681430165557122510412133616.90%1091784.40%2913187248.77%804160450.12%674136449.41%1749100116557241441739
_Vs Division2010700201848131053001014138310540010043430230.5758414322700102116102761490587681430657194121397911415.38%58787.93%1913187248.77%804160450.12%674136449.41%1749100116557241441739

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8080L132553485926082608915338161820
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8031364315325332
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4018162103173160
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4013202212152172
Derniers 10 matchs
WLOTWOTL SOWSOL
531001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3346318.86%1623180.86%2
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
905876814301021161027
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
913187248.77%804160450.12%674136449.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1749100116557241441739


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
211Islander4Comets3LXXR1Sommaire du match
420Comets3Silver Knights5LSommaire du match
631Silver Knights5Comets4LXR1Sommaire du match
1056Comets3Punishers5LSommaire du match
1265Silver Knights5Comets4LR1Sommaire du match
1372Comets4Islander6LR1Sommaire du match
1688Bears3Comets6WSommaire du match
1792Comets3Silver Knights4LXR1Sommaire du match
19105Comets6Eagles2WSommaire du match
23122Admirals5Comets2LSommaire du match
24128Comets3Bears6LR1Sommaire du match
27146Thunderbirds4Comets2LSommaire du match
29158Comets4Eagles3WXSommaire du match
32172Little Stars2Comets3WXSommaire du match
36192Comets3Canucks5LSommaire du match
38202Bears5Comets1LR1Sommaire du match
40216Comets1Checkers4LSommaire du match
43224Canucks5Comets7WSommaire du match
45236Comets4Little Stars5LXXSommaire du match
47246Admirals5Comets8WSommaire du match
49257Comets3Condors7LSommaire du match
54276Barracuda3Comets5WSommaire du match
57295Icehogs4Comets2LSommaire du match
62316Rocket3Comets6WSommaire du match
64333Comets4Griffins6LSommaire du match
66342Little Stars5Comets3LSommaire du match
68357Comets1Crunch4LSommaire du match
71371Bears2Comets5WR1Sommaire du match
73383Comets6Phantoms4WSommaire du match
76398Thunderbirds2Comets1LXXSommaire du match
78409Comets4Bears9LR1Sommaire du match
82425Islander5Comets3LR1Sommaire du match
84436Comets2Crunch1WSommaire du match
86448Griffins6Comets4LSommaire du match
88460Comets5Senators3WSommaire du match
91475Condors5Comets2LSommaire du match
94487Comets5Penguins4WXSommaire du match
96501Senators6Comets9WSommaire du match
98516Comets5Wranglers4WXXSommaire du match
100524Penguins6Comets4LSommaire du match
103540Comets3Icehogs5LSommaire du match
105553Comets3Rocket6LSommaire du match
106559Moose3Comets6WSommaire du match
110578Comets3Americans4LSommaire du match
112584Americans7Comets5LSommaire du match
115604Silver Knights2Comets3WR1Sommaire du match
117617Comets2Thunderbirds4LSommaire du match
119622Comets6Silver Knights1WR1Sommaire du match
121637Marlies2Comets6WSommaire du match
124656Comets8Punishers4WSommaire du match
126664Phantoms5Comets6WSommaire du match
128677Comets3Eagles4LXXSommaire du match
130689Silver Knights2Comets5WR1Sommaire du match
132699Comets8Silver Knights5WSommaire du match
134712Comets2Marlies6LSommaire du match
135718Crunch3Comets2LSommaire du match
138733Comets3Punishers4LXSommaire du match
140743Checkers2Comets7WSommaire du match
142758Comets2Admirals5LSommaire du match
144769Eagles5Comets7WSommaire du match
146783Comets4Wolfpack6LSommaire du match
148794Comets2Barracuda5LSommaire du match
149801Penguins2Comets5WSommaire du match
153819Marlies7Comets2LSommaire du match
157835Comets4Reign5LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159847Punishers3Comets4WSommaire du match
161853Comets4Bears2WR1Sommaire du match
164871Islander5Comets7WR1Sommaire du match
166879Comets3Thunderbirds9LSommaire du match
169894Comets5Moose3WSommaire du match
171904Checkers3Comets4WXSommaire du match
172912Comets4Islander3WR1Sommaire du match
175929Crunch6Comets5LXXSommaire du match
176935Comets3Canucks1WSommaire du match
178944Comets4Islander2WR1Sommaire du match
181958Wolfpack4Comets3LSommaire du match
182969Comets7Wolfpack1WSommaire du match
186988Reign2Comets1LSommaire du match
1911011Wranglers4Comets9WSommaire du match
1991036Wranglers3Comets2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance73,27436,755
Assistance PCT91.59%91.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2751 - 91.69% 173,234$6,929,348$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,233,112$ 1,672,500$ 1,632,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,321$ 1,625,282$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 11,306$ 11,306$




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