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LHSRSM

Connexion

Comets
GP: 6 | W: 1 | L: 5 | OTL: 0 | P: 2
GF: 22 | GA: 41 | PP%: 15.38% | PK%: 50.00%
DG: Sacha Verville | Morale : 50 | Moyenne d’équipe : 62
Prochain matchs #94 vs Wild
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Centre de jeu
Comets
1-5-0, 2pts
3
FINAL
8 IceHogs
4-1-1, 9pts
Team Stats
L5StreakW2
0-0-0Home Record2-0-1
1-5-0Away Record2-1-0
1-5-0Last 10 Games4-1-1
3.67Goals Per Game4.50
6.83Goals Against Per Game2.67
15.38%Power Play Percentage25.00%
50.00%Penalty Kill Percentage92.31%
Comets
1-5-0, 2pts
2
FINAL
9 Palm Springs
4-2-0, 8pts
Team Stats
L5StreakW2
0-0-0Home Record1-0-0
1-5-0Away Record3-2-0
1-5-0Last 10 Games4-2-0
3.67Goals Per Game4.83
6.83Goals Against Per Game3.33
15.38%Power Play Percentage11.11%
50.00%Penalty Kill Percentage87.50%
Wild
0-5-0, 0pts
2021-10-26
Comets
1-5-0, 2pts
Statistiques d’équipe
L5SéquenceL5
0-3-0Fiche domicile0-0-0
0-2-0Fiche visiteur1-5-0
0-5-010 derniers matchs1-5-0
4.00Buts par match 3.67
9.40Buts contre par match 6.83
26.67%Pourcentage en avantage numérique15.38%
50.00%Pourcentage en désavantage numérique50.00%
Phantoms
3-1-0, 6pts
2021-10-28
Comets
1-5-0, 2pts
Statistiques d’équipe
L1SéquenceL5
3-1-0Fiche domicile0-0-0
0-0-0Fiche visiteur1-5-0
3-1-010 derniers matchs1-5-0
4.50Buts par match 3.67
1.75Buts contre par match 6.83
0.00%Pourcentage en avantage numérique15.38%
100.00%Pourcentage en désavantage numérique50.00%
Condors
2-3-0, 4pts
2021-10-30
Comets
1-5-0, 2pts
Statistiques d’équipe
L2SéquenceL5
2-1-0Fiche domicile0-0-0
0-2-0Fiche visiteur1-5-0
2-3-010 derniers matchs1-5-0
5.00Buts par match 3.67
8.00Buts contre par match 6.83
66.67%Pourcentage en avantage numérique15.38%
80.00%Pourcentage en désavantage numérique50.00%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
22
3.67 GFG
Tirs pour
257
42.83 Avg
Pourcentage en avantage numérique
15.4%
2 GF
Début de zone offensive
41.0%
Buts contre
41
6.83 GAA
Tirs contre
280
46.67 Avg
Pourcentage en désavantage numérique
50.0%
5 GA
Début de la zone défensive
36.2%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistancenan
Billets de saison300


Information formation

Équipe Pro17
Équipe Mineure18
Limite contact 35 / 250
Espoirs54


Historique d'équipe

Saison actuelle1-5-0 (2PTS)
Historique173-454-38 (0.260%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)7-5
Stanley Cup0


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 GlassX100.005635947285798271806866637364670506602121,713,333$
2Barrett HaytonXX100.006739876875778066706764636962670506502012,644,167$
3Anton BlidhXX100.00863789657177746257616463657168050640251700,000$
4Vitali KravtsovX100.005435946881747367596366617263650506402021,775,000$
5Cole Perfetti (R)X100.005935936668788364776862597260620506301841,658,333$
6Kole LindX100.006235956473767365636262616465630506302111,125,000$
7Matthew FordX100.00703679587984895954605758558777050630361700,000$
8Scott SabourinX100.00768269618573796054626155617769050630281700,000$
9Michal Teply (R)X100.00723988628174795861595563566062050610194925,000$
10Sebastian RepoXXX100.00643675618676715955586056616965050610241740,000$
11Stelio MattheosXX100.00683689607773685967565861596364050610212925,000$
12Ryan WhiteXX100.007381545974606558545257565582730505903211,000,000$
13Jan DrozgX100.00663987547570755455525754566362050580212925,000$
14Jake BeanX100.005635937175858466307257595265630506402211,363,333$
15Daniel BrickleyX100.00744286578474715530545357457166050600251700,000$
16Michael KaplaX100.00654285597470725730615458477367050600261874,125$
Rayé
MOYENNE D’ÉQUIPE100.0067438563787576615661605960686605062
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
1Jake Oettinger100.00799089947877797877797866700506602121,387,500$
Rayé
MOYENNE D’ÉQUIPE100.007990899478777978777978667005066
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
1Matthew FordComets (VAN)RW6358-62015123215289.38%813722.96101613011070042.86%5600001.1600000000
2Sebastian RepoComets (VAN)C/LW/RW6358-72026328159.38%412721.17011210101180025.00%800001.2600000000
3Stelio MattheosComets (VAN)C/RW6538-420122840103012.50%412520.84011313000030051.66%15100001.2800000010
4Kole LindComets (VAN)RW6437-40077418269.76%410617.6700010000000010.00%1000011.3200000100
5Vitali KravtsovComets (VAN)LW6437-6000193853610.53%811018.48101710000041033.33%1200011.2600000001
6Ryan WhiteComets (VAN)C/LW6156-6003414194225.26%910818.07011310000020041.10%14600001.1100000000
7Scott SabourinComets (VAN)RW6246-7752325328176.25%311318.8800000000000050.00%12400001.0600001010
8Daniel BrickleyComets (VAN)D6033-110011710170.00%512721.1801131000005000.00%000000.4700000000
9Michael KaplaComets (VAN)D6011-1120588120.00%912621.0100041000004000.00%000000.1600000000
Statistiques d’équipe totales ou en moyenne54223254-62155109126252601838.73%54108120.0324629791121351045.56%50700021.0000001121
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
Statistiques d’équipe totales ou en moyenne0.0000.0000.000


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’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)LW/RW251995-03-14No185 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Barrett HaytonComets (VAN)C/LW202000-06-09No190 Lbs6 ft1NoNoNo1Pro & Farm2,644,167$0$0$NoLien / Lien NHL
Cody GlassComets (VAN)C211999-04-01No206 Lbs6 ft3NoNoNo2Pro & Farm1,713,333$0$0$No1,713,333$Lien / Lien NHL
Cole PerfettiComets (VAN)C182002-01-01Yes177 Lbs5 ft11NoNoNo4Pro & Farm1,658,333$0$0$No1,627,000$1,627,000$1,627,000$Lien NHL
Daniel BrickleyComets (VAN)D251995-03-30No203 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Jake BeanComets (VAN)D221998-06-09No186 Lbs6 ft1NoNoNo1Pro & Farm1,363,333$0$0$NoLien / Lien NHL
Jake OettingerComets (VAN)G211998-12-18No225 Lbs6 ft5NoNoNo2Pro & Farm1,387,500$0$0$No1,387,500$Lien / Lien NHL
Jan DrozgComets (VAN)RW211999-04-01No174 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Kole LindComets (VAN)RW211998-10-16No178 Lbs6 ft1NoNoNo1Pro & Farm1,125,000$0$0$NoLien / Lien NHL
Matthew FordComets (VAN)RW361984-10-09No207 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Michael KaplaComets (VAN)D261994-09-19No200 Lbs6 ft0NoNoNo1Pro & Farm874,125$0$0$NoLien / Lien NHL
Michal TeplyComets (VAN)RW192001-05-27Yes187 Lbs6 ft3NoNoNo4Pro & Farm925,000$0$0$No919,167$919,167$919,167$Lien NHL
Ryan WhiteComets (VAN)C/LW321988-03-17No200 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$0$0$NoLien / Lien NHL
Scott SabourinComets (VAN)RW281992-07-30No208 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Sebastian RepoComets (VAN)C/LW/RW241996-06-23No211 Lbs6 ft3NoNoNo1Pro & Farm740,000$0$0$NoLien / Lien NHL
Stelio MattheosComets (VAN)C/RW211999-06-14No196 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Vitali KravtsovComets (VAN)LW201999-12-23No189 Lbs6 ft3NoNoNo2Pro & Farm1,775,000$0$0$No1,775,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1723.53195 Lbs6 ft21.651,167,988$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Stelio MattheosMatthew Ford30122
2Vitali KravtsovRyan WhiteSebastian Repo30122
3Scott SabourinKole Lind25122
4Sebastian RepoMatthew FordScott Sabourin15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniel BrickleyMichael Kapla30122
230122
325122
4Daniel BrickleyMichael Kapla15122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Stelio MattheosMatthew Ford60122
2Vitali KravtsovRyan WhiteSebastian Repo40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniel BrickleyMichael Kapla60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Matthew FordSebastian Repo60122
2Vitali Kravtsov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniel BrickleyMichael Kapla60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matthew Ford60122Daniel BrickleyMichael Kapla60122
2Sebastian Repo4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matthew FordSebastian Repo60122
2Vitali Kravtsov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daniel BrickleyMichael Kapla60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Stelio MattheosMatthew FordDaniel BrickleyMichael Kapla
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Stelio MattheosMatthew FordDaniel BrickleyMichael Kapla
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kole Lind, , Stelio MattheosKole Lind, Stelio Mattheos
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniel Brickley, Michael Kapla, Daniel BrickleyMichael Kapla,
Tirs de pénalité
Matthew Ford, Sebastian Repo, , Vitali Kravtsov, Kole Lind
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
1Americans1010000037-4000000000001010000037-400.000336008950288690810376423200.00%220.00%010321348.36%8018842.55%5111942.86%12688160417333
2Condors1100000012570000000000011000000125721.0001221330089508086908104213229000.00%110.00%010321348.36%8018842.55%5111942.86%12688160417333
3Griffins1010000025-3000000000001010000025-300.000246008950378690810349526400.00%000.00%010321348.36%8018842.55%5111942.86%12688160417333
4IceHogs1010000038-5000000000001010000038-500.00035800895032869081040136244125.00%3233.33%110321348.36%8018842.55%5111942.86%12688160417333
5Palm Springs1010000029-7000000000001010000029-700.00024600895047869081065106243133.33%20100.00%010321348.36%8018842.55%5111942.86%12688160417333
6Phantoms1010000007-7000000000001010000007-700.0000000089503386908106218420000.00%20100.00%010321348.36%8018842.55%5111942.86%12688160417333
Total615000002241-1900000000000615000002241-1920.1672237590089502578690810280692714613215.38%10550.00%110321348.36%8018842.55%5111942.86%12688160417333
_Since Last GM Reset615000002241-1900000000000615000002241-1920.1672237590089502578690810280692714613215.38%10550.00%110321348.36%8018842.55%5111942.86%12688160417333
_Vs Conference20200000314-110000000000020200000314-1100.0003360089506186908109924843200.00%4250.00%010321348.36%8018842.55%5111942.86%12688160417333
_Vs Division20100000512-70000000000020100000512-700.00057120089506586908107115949600.00%220.00%010321348.36%8018842.55%5111942.86%12688160417333

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
62L5223759257280692714600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
61500002241
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
61500002241
Derniers 10 matchs
WLOTWOTL SOWSOL
150000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
13215.38%10550.00%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
86908108950
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
10321348.36%8018842.55%5111942.86%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12688160417333


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
2 - 2021-10-136Comets12Condors5AWSommaire du match
4 - 2021-10-1518Comets0Phantoms7ALSommaire du match
5 - 2021-10-1625Comets2Griffins5ALSommaire du match
8 - 2021-10-1939Comets3Americans7ALSommaire du match
10 - 2021-10-2160Comets3IceHogs8ALSommaire du match
12 - 2021-10-2378Comets2Palm Springs9ALSommaire du match
15 - 2021-10-2694Wild-Comets-
17 - 2021-10-28106Phantoms-Comets-
19 - 2021-10-30126Condors-Comets-
22 - 2021-11-02141Wolf Pack-Comets-
25 - 2021-11-05159Admirals-Comets-
27 - 2021-11-07178Stars-Comets-
29 - 2021-11-09190Gulls-Comets-
31 - 2021-11-11203Comets-Eagles-
33 - 2021-11-13222Comets-Wolves-
34 - 2021-11-14229Comets-Gulls-
37 - 2021-11-17244Eagles-Comets-
39 - 2021-11-19259Moose-Comets-
41 - 2021-11-21278IceHogs-Comets-
44 - 2021-11-24293Comets-Penguins-
46 - 2021-11-26313Comets-Monsters-
48 - 2021-11-28330Comets-Bruins-
49 - 2021-11-29334Comets-Rocket-
51 - 2021-12-01348Comets-Senators-
54 - 2021-12-04376Penguins-Comets-
56 - 2021-12-06386Reign-Comets-
58 - 2021-12-08400Bruins-Comets-
60 - 2021-12-10417Moose-Comets-
62 - 2021-12-12435Checkers-Comets-
64 - 2021-12-14449Monsters-Comets-
66 - 2021-12-16464Comets-Barracuda-
68 - 2021-12-18476Marlies-Comets-
69 - 2021-12-19488Roadrunners-Comets-
71 - 2021-12-21503Comets-Barracuda-
73 - 2021-12-23520Gulls-Comets-
77 - 2021-12-27534Palm Springs-Comets-
79 - 2021-12-29551Comets-Gulls-
80 - 2021-12-30557Comets-Reign-
82 - 2022-01-01572Comets-Palm Springs-
86 - 2022-01-05598Sound Tigers-Comets-
89 - 2022-01-08625Senators-Comets-
92 - 2022-01-11638Comets-Thunderbirds-
94 - 2022-01-13651Comets-Crunch-
96 - 2022-01-15667Comets-Checkers-
97 - 2022-01-16680Comets-Bears-
99 - 2022-01-18696Comets-Admirals-
102 - 2022-01-21718Thunderbirds-Comets-
104 - 2022-01-23736Rampage-Comets-
106 - 2022-01-25750Condors-Comets-
108 - 2022-01-27765Comets-Moose-
110 - 2022-01-29782Comets-Heat-
112 - 2022-01-31794Comets-IceHogs-
113 - 2022-02-01803Comets-Admirals-
136 - 2022-02-24820Heat-Comets-
139 - 2022-02-27844Comets-Wolf Pack-
140 - 2022-02-28848Comets-Devils-
143 - 2022-03-03868Comets-Sound Tigers-
145 - 2022-03-05884Comets-Marlies-
149 - 2022-03-09914Rocket-Comets-
151 - 2022-03-11931Bears-Comets-
153 - 2022-03-13950Crunch-Comets-
155 - 2022-03-15961Devils-Comets-
157 - 2022-03-17974Griffins-Comets-
159 - 2022-03-19992Heat-Comets-
160 - 2022-03-20999Americans-Comets-
163 - 2022-03-231016Comets-Eagles-
164 - 2022-03-241024Comets-Wild-
166 - 2022-03-261036Comets-Stars-
168 - 2022-03-281055Comets-Rampage-
170 - 2022-03-301071Rampage-Comets-
174 - 2022-04-031106Wolves-Comets-
177 - 2022-04-061126Comets-Wolves-
178 - 2022-04-071134Comets-Roadrunners-
180 - 2022-04-091152Barracuda-Comets-
183 - 2022-04-121175Wolves-Comets-
185 - 2022-04-141192Roadrunners-Comets-
187 - 2022-04-161207Comets-Condors-
189 - 2022-04-181217Stars-Comets-
192 - 2022-04-211240Comets-Wild-
194 - 2022-04-231257Comets-Heat-
197 - 2022-04-261284Palm Springs-Comets-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
200 - 2022-04-291310Reign-Comets-



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
128,414$ 1,985,578$ 480,083$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 128,414$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 188 9,878$ 1,857,064$




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
10615000002241-1900000000000615000002241-1922237590089502578690810280692714613215.38%10550.00%110321348.36%8018842.55%5111942.86%12688160417333
Total Saison régulière662138454096262917623638-18763287221904216158991727-8283346623505410148631911-10483811762299047521411870654846521755867193724770583622010618369814489193337619.45%156838975.19%778051997639.07%91792700933.98%40521143135.45%11959818020404476276703333
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