Connexion

Comets
GP: 15 | W: 10 | L: 5
GF: 63 | GA: 54 | PP%: 16.13% | PK%: 85.71%
DG: Patrick Tremblay | Morale : 56 | Moyenne d’équipe : 62
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Comets
10-5-0, 20pts
5
FINAL
2 Eagles
12-7-0, 24pts
Team Stats
L1StreakL2
4-4-0Home Record5-5-0
6-1-0Away Record7-2-0
6-3-1Last 10 Games4-5-1
4.20Buts par match 4.37
3.60Buts contre par match 3.37
16.13%Pourcentage en avantage numérique24.29%
85.71%Pourcentage en désavantage numérique87.14%
Eagles
12-7-0, 24pts
4
FINAL
1 Comets
10-5-0, 20pts
Team Stats
L2StreakL1
5-5-0Home Record4-4-0
7-2-0Away Record6-1-0
4-5-1Last 10 Games6-3-1
4.37Buts par match 4.20
3.37Buts contre par match 3.60
24.29%Pourcentage en avantage numérique16.13%
87.14%Pourcentage en désavantage numérique85.71%
Meneurs d'équipe
Buts
Dennis Everberg
15
Passes
Nathan Gerbe
17
Points
Dennis Everberg
27
Plus/Moins
Joshua Leivo
11
Victoires
Thatcher Demko
6
Pourcentage d’arrêts
Alexandar Georgiev
0.904

Statistiques d’équipe
Buts pour
63
4.20 GFG
Tirs pour
523
34.87 Avg
Pourcentage en avantage numérique
16.1%
10 GF
Début de zone offensive
36.4%
Buts contre
54
3.60 GAA
Tirs contre
498
33.20 Avg
Pourcentage en désavantage numérique
85.7%
10 GA
Début de la zone défensive
37.5%
Informations de l'équipe

Directeur généralPatrick Tremblay
EntraîneurLanne MacDonald
DivisionGunther-Sabetzki
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,996
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 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
1Dennis Everberg (R)X100.007135827778707275657673717355514075710242999,000$
2Taylor Beck (R)X100.007525797382777175787278636959503961710251999,000$
3Nathan GerbeX100.006937767374806874717568607566612437700291975,000$
4Teemu Pulkkinen (R)X100.006824757673787176716671647852484460690241900,000$
5Andrej Nestrasil (R)X100.007133777466726869768068536657553575680251800,000$
6Joshua Leivo (R)X100.006626807275737472716775596849454476680231975,000$
7Nicolas Petan (R)X100.006436796668726671817666546045445641660211525,000$
8Phil Di Giuseppe (R)X100.006432707668727375675773506447474373650231400,000$
9Juho Lammikko (R)X100.007235667170597071586465585642435367630201550,000$
10Mackenzie MacEachern (R)X100.005830696859676076686269537544444046630222400,000$
11Kurtis Macdermid (R)X100.008060695575617561446748655247505557620222500,000$
12Axel Holmstrom (R)X100.005741706266576462656567566643435060610201400,000$
13Anton Karlsson (R)X100.005923657359604869566256626643435646600201400,000$
14Tyler Graovac (R)X100.005733606650586067676363595745453439600231400,000$
15William Lockwood (R)X100.005226656951584969655759507240406759580182500,000$
16Taylor Leier (R)X100.004827765460605464515567496344444034570221400,000$
17Rasmus Asplund (R)X100.005525636447614569535962467541415834570192500,000$
18Thomas DiPauli (R)X100.005329796761745549525753535344444128560221400,000$
19Oskar Steen (R)X100.006431545671436452485954495040406223530182500,000$
20Juuso Riikola (R)X100.006751727276656866537563666356514071680231500,000$
21Oliver Kylington (R)X100.006029757955606671357856674944425875650191500,000$
22Dan Renouf (R)X100.006247786566695965497558646348485145650222500,000$
23Sami Niku (R)X100.005137637553587370316961543444435659610201500,000$
24William Lagesson (R)X100.005427737455536069266850624942425852600204700,000$
25Jordan Gross (R)X100.006628625959616462356464574444484036600211400,000$
Rayé
1Anton Zlobin (R)X100.005923666559595763536468425746473447590231400,000$
2Dmitry Sokolov (R)X100.003820635052454949384758356040406420470182500,000$
3Jeremy Roy (R)X100.005137545854495554325844474041425320510191400,000$
MOYENNE D’ÉQUIPE100.00613270676463636756666356614746485162
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
1Alexandar Georgiev100.00588964787670768085775849456966740201500,000$
2Thatcher Demko100.00716576535978786457816947435975660201800,000$
Rayé
1Marek Langhamer100.00635160657154566057517244444529590221400,000$
MOYENNE D’ÉQUIPE100.0064686765696770686670664744585766
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lanne MacDonald75586370346237USA702325,000$


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
1Dennis EverbergComets (Van)RW15151227340252462224324.19%835623.7343712560000622048.00%25173011.5200000410
2Nathan GerbeComets (Van)C15717245220262850163314.00%431921.300665550113250053.60%472112001.5000000110
3Taylor BeckComets (Van)LW156121828022236117279.84%735623.791457550001631052.80%125124001.0100000111
4Phil Di GiuseppeComets (Van)LW156713910020124392013.95%1022114.77112533000001128.57%763001.1700000023
5Joshua LeivoComets (Van)RW1575121155231735131920.00%524216.15000339101192044.44%973000.9900001201
6Oliver KylingtonComets (Van)D155611316020313591714.29%2037024.69415850000246100.00%078000.5900000000
7Nicolas PetanComets (Van)C154610400191927121614.81%620913.950111210000151054.46%11253000.9600000101
8Patrick WeyCanucksD131910-16027353014123.33%2837428.82033448000258000.00%0616000.5300000010
9Andrej NestrasilComets (Van)C15246-16018173216226.25%421314.250001190001240058.72%109131000.5600000001
10Juuso RiikolaComets (Van)D1515621602227301593.33%2036924.67000551000259010.00%0512000.3200000000
11Sami NikuComets (Van)D150556100161311170.00%1326717.85000028000228000.00%004000.3700000010
12Tyler GraovacComets (Van)C153251801381541020.00%3946.3300000000001143.24%3731001.0500000010
13Anton ZlobinComets (Van)RW1213422010114497.14%1927.710000300000000.00%031000.8600000000
14Juho LammikkoComets (Van)RW15134-4602082210184.55%21449.630000000000000.00%303000.5500000001
15Mackenzie MacEachernComets (Van)LW15314-3409932769.38%41409.390000000000000.00%153000.5700000010
16William LagessonComets (Van)D1512352031831333.33%917011.360000200006100.00%004000.3500000000
17Dan RenoufComets (Van)D150331808193350.00%823715.82000018000029000.00%017000.2500000000
18Axel HolmstromComets (Van)C2011100302000.00%0178.9000000000000075.00%800001.1200000000
19Kurtis MacdermidComets (Van)LW150110801776210.00%2986.600000100002000.00%001000.2000000000
20Anton KarlssonComets (Van)LW15000-300222100.00%2372.48000040001180025.00%800000.0000000000
21Taylor LeierComets (Van)LW11000000001100.00%020.220000000011000.00%100000.0000000000
22Teemu PulkkinenComets (Van)LW2000020445240.00%13417.260000600003000.00%110000.0000000000
23Jordan GrossComets (Van)D11000320410000.00%2464.250000000007000.00%001000.0000000000
24William LockwoodComets (Van)RW15000-100212220.00%0312.110000200000000.00%100000.0000000000
25Rasmus AsplundComets (Van)C11000000010000.00%070.6600000000060033.33%600000.0000000000
Statistiques d’équipe totales ou en moyenne3326310416745145533332552318128312.05%159445813.43101929515001121646810352.76%92510280010.7500001998
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
1Thatcher DemkoComets (Van)96210.8833.684892030256125000.000096100
2Alexandar GeorgievComets (Van)64200.9043.283660020208113100.000060001
3Marek LanghamerComets (Van)20000.8823.93610043419000.000009000
Statistiques d’équipe totales ou en moyenne1710410.8923.539172054498257100.00001515101


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 Salaire restantPlafond 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
Alexandar GeorgievComets (Van)G201996-01-01No178 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Andrej NestrasilComets (Van)C251991-01-01Yes200 Lbs6 ft3NoNoNo1Pro & Farm800,000$0$0$No
Anton KarlssonComets (Van)LW201996-01-01Yes194 Lbs5 ft11NoNoNo1Pro & Farm400,000$0$0$No
Anton ZlobinComets (Van)RW231993-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm400,000$0$0$No
Axel HolmstromComets (Van)C201996-01-01Yes198 Lbs6 ft2NoNoNo1Pro & Farm400,000$0$0$No
Dan RenoufComets (Van)D221994-01-01Yes198 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Dennis EverbergComets (Van)RW241992-01-01Yes205 Lbs6 ft4NoNoNo2Pro & Farm999,000$0$0$No999,000$
Dmitry SokolovComets (Van)LW181998-01-01Yes209 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jeremy RoyComets (Van)D191997-01-01Yes187 Lbs6 ft0NoNoNo1Farm Only400,000$0$0$No
Jordan GrossComets (Van)D211995-01-01Yes190 Lbs5 ft10NoNoNo1Pro & Farm400,000$0$0$No
Joshua LeivoComets (Van)RW231993-01-01Yes204 Lbs6 ft1NoNoNo1Pro & Farm975,000$0$0$No
Juho LammikkoComets (Van)RW201996-01-01Yes191 Lbs6 ft2NoNoNo1Pro & Farm550,000$0$0$No
Juuso RiikolaComets (Van)D231993-01-01Yes189 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Kurtis MacdermidComets (Van)LW221994-01-01Yes233 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$
Mackenzie MacEachernComets (Van)LW221994-01-01Yes180 Lbs6 ft2NoNoNo2Pro & Farm400,000$0$0$No400,000$
Marek LanghamerComets (Van)G221994-01-01No181 Lbs6 ft1NoNoNo1Pro & Farm400,000$0$0$No
Nathan GerbeComets (Van)C291987-01-01No173 Lbs5 ft6NoNoNo1Pro & Farm975,000$0$0$No
Nicolas PetanComets (Van)C211995-01-01Yes185 Lbs5 ft9NoNoNo1Pro & Farm525,000$0$0$No
Oliver KylingtonComets (Van)D191997-01-01Yes183 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Oskar SteenComets (Van)C181998-01-01Yes194 Lbs5 ft9NoNoNo2Pro & Farm500,000$0$0$No500,000$
Phil Di GiuseppeComets (Van)LW231993-01-01Yes197 Lbs5 ft11NoNoNo1Pro & Farm400,000$0$0$No
Rasmus AsplundComets (Van)C191997-01-01Yes190 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Sami NikuComets (Van)D201996-01-01Yes176 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Taylor BeckComets (Van)LW251991-01-01Yes203 Lbs6 ft2NoNoNo1Pro & Farm999,000$0$0$No
Taylor LeierComets (Van)LW221994-01-01Yes174 Lbs5 ft10NoNoNo1Farm Only400,000$0$0$No
Teemu PulkkinenComets (Van)LW241992-01-01Yes183 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$No
Thatcher DemkoComets (Van)G201996-01-01No192 Lbs6 ft4NoNoNo1Pro & Farm800,000$0$0$No
Thomas DiPauliComets (Van)C221994-01-01Yes188 Lbs5 ft11NoNoNo1Farm Only400,000$0$0$No
Tyler GraovacComets (Van)C231993-01-01Yes212 Lbs6 ft5NoNoNo1Farm Only400,000$0$0$No
William LagessonComets (Van)D201996-01-01Yes207 Lbs6 ft2NoNoNo4Pro & Farm700,000$0$0$No700,000$700,000$700,000$
William LockwoodComets (Van)RW181998-01-01Yes172 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3121.52192 Lbs6 ft11.35568,484$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Taylor BeckNathan GerbeDennis Everberg58122
2Teemu PulkkinenAndrej NestrasilJoshua Leivo23122
3Phil Di GiuseppeNicolas PetanJuho Lammikko15122
4Mackenzie MacEachernAxel HolmstromWilliam Lockwood4122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso RiikolaOliver Kylington60122
2Dan RenoufSami Niku23122
3William LagessonJordan Gross13122
4Juuso RiikolaOliver Kylington4122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Taylor BeckNathan GerbeDennis Everberg70005
2Teemu PulkkinenAndrej NestrasilJoshua Leivo30005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso RiikolaOliver Kylington70005
2Dan RenoufSami Niku30122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Taylor BeckDennis Everberg60122
2Nathan GerbeTeemu Pulkkinen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso RiikolaOliver Kylington60122
2Dan RenoufSami Niku40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Taylor Beck60122Juuso RiikolaOliver Kylington60122
2Dennis Everberg40122Dan RenoufSami Niku40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Taylor BeckDennis Everberg60122
2Nathan GerbeTeemu Pulkkinen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Juuso RiikolaOliver Kylington60122
2Dan RenoufSami Niku40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Taylor BeckNathan GerbeDennis EverbergJuuso RiikolaOliver Kylington
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Taylor BeckNathan GerbeDennis EverbergJuuso RiikolaOliver Kylington
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kurtis Macdermid, Tyler Graovac, Anton KarlssonKurtis Macdermid, Tyler GraovacAnton Karlsson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Lagesson, Jordan Gross, Dan RenoufWilliam LagessonJordan Gross, Dan Renouf
Tirs de pénalité
Taylor Beck, Dennis Everberg, Nathan Gerbe, Teemu Pulkkinen, Andrej Nestrasil
Gardien
#1 : Alexandar Georgiev, #2 : Thatcher Demko


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
1Eagles624000002428-430300000816-8321000001612440.3332441650017241932121831751578204636911825312.00%32681.25%118533754.90%18034751.87%12324151.04%326183320145270133
2Sound Tigers541000002016432100000111012200000096380.8002032520017241931791831751578168615012018527.78%25292.00%018533754.90%18034751.87%12324151.04%326183320145270133
3Thunderbirds44000000191092200000011472200000086281.000193150001724193132183175157812635289519210.53%13284.62%018533754.90%18034751.87%12324151.04%326183320145270133
Total15105000006354984400000303007610000033249200.667631041670017241935231831751578498159147333621016.13%701085.71%118533754.90%18034751.87%12324151.04%326183320145270133
_Since Last GM Reset15105000006354984400000303007610000033249200.667631041670017241935231831751578498159147333621016.13%701085.71%118533754.90%18034751.87%12324151.04%326183320145270133
_Vs Conference15105000006354984400000303007610000033249200.667631041670017241935231831751578498159147333621016.13%701085.71%118533754.90%18034751.87%12324151.04%326183320145270133

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1520L16310416752349815914733300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1510500006354
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
84400003030
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
76100003324
Derniers 10 matchs
WLOTWOTL SOWSOL
432100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
621016.13%701085.71%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
18317515781724193
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
18533754.90%18034751.87%12324151.04%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
326183320145270133


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
1 - 2021-11-307Sound Tigers3Comets4BWSommaire du match
2 - 2021-12-0115Sound Tigers5Comets2BLSommaire du match
3 - 2021-12-0223Comets5Sound Tigers3AWSommaire du match
4 - 2021-12-0331Comets4Sound Tigers3AWXSommaire du match
5 - 2021-12-0439Sound Tigers2Comets5BWSommaire du match
8 - 2021-12-0760Thunderbirds1Comets3BWSommaire du match
9 - 2021-12-0864Thunderbirds3Comets8BWSommaire du match
10 - 2021-12-0968Comets4Thunderbirds3AWXSommaire du match
11 - 2021-12-1072Comets4Thunderbirds3AWXSommaire du match
15 - 2021-12-1486Comets9Eagles4AWSommaire du match
16 - 2021-12-1588Comets2Eagles6ALSommaire du match
17 - 2021-12-1690Eagles6Comets5BLXSommaire du match
18 - 2021-12-1792Eagles6Comets2BLSommaire du match
19 - 2021-12-1894Comets5Eagles2AWSommaire du match
20 - 2021-12-1996Eagles4Comets1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance16,0007,966
Assistance PCT100.00%99.58%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2996 - 99.86% 89,183$713,464$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,762,300$ 1,165,000$ 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$




Comets Leaders statistiques (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 (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