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Comets
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Sacha Verville | Morale : 50 | Moyenne d’équipe : 62
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralSacha Verville
DivisionNord
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro16
Équipe Mineure18
Limite contact 34 / 250
Espoirs62


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique184-519-38 (0.248%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)7-5
Coupe Stanley0


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
1Cody GlassX100.007240886785879065786763647263680506602111,713,333$
2Anton BlidhX100.00883576657775736457636270646667050650251750,000$
3Cole PerfettiX100.006136957068867369706863627462630506501831,627,000$
4Pat MaroonX100.00778264629179886357676456617974050650321900,000$
5Scott SabourinX100.00768258568773695853655761587072050620282750,000$
6Bobby Brink (R)X100.006831836562866866546755586461620506201931,137,500$
7Michal TeplyX100.00723894578179835561595660576163050610193919,167$
8Jan DrozgX100.00663880587572715461565754596365050590211925,000$
9Cole Fonstad (R)X100.00633592566381735761585953566264050590201650,000$
10Stelio MattheosX100.00684076567775875257545358566365050580211925,000$
11Reece Newkirk (R)X100.00613975537069615262545055536163050560193828,333$
12Justin Barron (R)X100.006738916879837567306664615361630506501831,158,333$
13Daniel BrickleyX100.00613989578471675630555258466769050590251700,000$
14Marc Del Gaizo (R)X100.00593781606972835730565453456365050590203925,000$
15Matthew Kessel (R)X100.00723883548166645230565052456264050570203925,000$
Rayé
MOYENNE D’ÉQUIPE100.0069438260777775595361575858646605061
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
1David Rittich100.00787570857776787776787772840506602811,250,000$
Rayé
MOYENNE D’ÉQUIPE100.007875708577767877767877728405066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Plafond salarial 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 10Link
Anton BlidhComets (VAN)LW251995-03-14No197 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Bobby BrinkComets (VAN)RW192001-07-08Yes166 Lbs5 ft8NoNoNo3Pro & Farm1,137,500$0$0$No1,137,500$1,137,500$Lien NHL
Cody GlassComets (VAN)C211999-04-01No206 Lbs6 ft3NoNoNo1Pro & Farm1,713,333$0$0$NoLien / Lien NHL
Cole FonstadComets (VAN)LW202000-04-24Yes165 Lbs5 ft10NoNoNo1Pro & Farm650,000$0$0$NoLien NHL
Cole PerfettiComets (VAN)C182002-01-01No177 Lbs5 ft11NoNoNo3Pro & Farm1,627,000$0$0$No1,627,000$1,627,000$Lien / Lien NHL
Daniel BrickleyComets (VAN)D251995-03-30No203 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
David RittichComets (VAN)G281992-08-19No206 Lbs6 ft3NoNoNo1Pro & Farm1,250,000$0$0$NoLien / Lien NHL
Jan DrozgComets (VAN)RW211999-04-01No174 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Justin BarronComets (VAN)D182001-11-15Yes195 Lbs6 ft2NoNoNo3Pro & Farm1,158,333$0$0$No1,158,333$1,158,333$Lien NHL
Marc Del GaizoComets (VAN)D201999-10-11Yes188 Lbs5 ft10NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien NHL
Matthew KesselComets (VAN)D202000-06-23Yes205 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien NHL
Michal TeplyComets (VAN)RW192001-05-27No187 Lbs6 ft3NoNoNo3Pro & Farm919,167$0$0$No919,167$919,167$Lien / Lien NHL
Pat MaroonComets (VAN)LW321988-04-23No238 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$NoLien / Lien NHL
Reece NewkirkComets (VAN)C192001-02-20Yes178 Lbs6 ft0NoNoNo3Pro & Farm828,333$0$0$No828,333$828,333$Lien NHL
Scott SabourinComets (VAN)RW281992-07-30No207 Lbs6 ft4NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Stelio MattheosComets (VAN)RW211999-06-14No196 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1622.13193 Lbs6 ft11.941,005,229$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole PerfettiScott Sabourin40122
2Stelio Mattheos30122
3Michal Teply20122
4Scott SabourinMichal Teply10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cole PerfettiScott Sabourin60122
2Stelio Mattheos40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Scott Sabourin60122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
2Scott Sabourin4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Scott Sabourin60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole PerfettiScott Sabourin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cole PerfettiScott Sabourin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Cole Perfetti, Stelio Mattheos, Cole PerfettiStelio Mattheos
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, Scott Sabourin, , , Cole Perfetti
Gardien
#1 : , #2 :


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%0
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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,608,366$ 92,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




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
Saison régulière
28236290229424721928411617011421181126412012011521291072210024741566224095736822520771739713272182970014783517019.94%2925381.85%21080236045.76%1321315041.94%536127841.94%1838124520966371056513
382313702192197219-224115160207110492124116210012193127-348719733353015068595922620756754729301990156214213156620.95%2303186.52%11046240843.44%1168313637.24%464117539.49%1824124921286141031498
4821453030210170284-114418270101483133-50416260201687151-64481702794491206259442372067582684035211091999176851710921.08%4258979.06%1843262432.13%1116368730.27%390116033.62%15219912509647957422
582136200115200465-2654172900104109238-129416330001191227-13634200341541200816256264508789088364327124429016321613119.25%1114460.36%01103236646.62%1279315140.59%663146445.29%14119842605572936395
682136401103257506-2494173200002139251-1124163201101118255-137322574196765001098958331401123108510905164150027320601573421.66%1213174.38%01229280543.81%1388351839.45%650153142.46%148010472536564922397
782116601112247582-3354173200011127277-1504143401101120305-185292474046510001117658310001037103810105133147329821821653018.18%1285259.38%0855258733.05%851308627.58%418155326.92%143310072586564919384
882117000001227645-4184173400000112305-1934143600001115340-22523227414641100937460291909799619736039177824719241161714.66%1133866.37%1680221130.76%953340527.99%420157826.62%11547832890554879340
98286800042195677-4824153200031107319-212413360001188358-27026195348543200785162263408848558676016173330218781381712.32%1384666.67%1866240236.05%1023368827.74%460157329.24%11677832890565892347
1082107000020295585-2904183200010160290-1304123800010135295-1602429549779200125917743335115810721090214029118034219571592817.61%1565862.82%11447295349.00%1131263542.92%738167044.19%175712542191546981459
Total Saison régulière738147519096282920354182-214736980251042171510592017-9583696726805411149762165-118940320353450548514111257886204692483311588175825670793996911729401316300207940219.34%171444274.21%791492271640.28%102302945634.73%47391298236.50%13590934622436526685773759
Séries éliminatoires
21275000002426-252300000914-57520000015123142445690104983470101109115415115137215481122.92%47882.98%016338742.12%18450336.58%7717244.77%26217133410016073
Total Séries éliminatoires1275000002426-252300000914-57520000015123142445690104983470101109115415115137215481122.92%47882.98%016338742.12%18450336.58%7717244.77%26217133410016073