Connexion

Comets
GP: 80 | W: 40 | L: 29 | OTL: 11 | P: 91
GF: 326 | GA: 312 | PP%: 18.36% | PK%: 78.22%
DG: Patrick Tremblay | Morale : 39 | Moyenne d’équipe : 63
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Centre de jeu
Barracuda
40-37-3, 83pts
5
FINAL
3 Comets
40-29-11, 91pts
Team Stats
W3StreakW1
20-18-2Home Record20-12-8
20-19-1Away Record20-17-3
6-4-0Last 10 Games3-5-2
4.31Buts par match 4.08
4.35Buts contre par match 3.90
22.94%Pourcentage en avantage numérique18.36%
74.53%Pourcentage en désavantage numérique78.22%
Comets
40-29-11, 91pts
4
FINAL
3 Phantoms
43-33-4, 90pts
Team Stats
W1StreakL2
20-12-8Home Record19-19-2
20-17-3Away Record24-14-2
3-5-2Last 10 Games6-4-0
4.08Buts par match 4.30
3.90Buts contre par match 4.05
18.36%Pourcentage en avantage numérique19.38%
78.22%Pourcentage en désavantage numérique81.21%
Meneurs d'équipe
Buts
Dennis Everberg
46
Passes
Dennis Everberg
63
Points
Dennis Everberg
109
Plus/Moins
Taylor Beck
21
Victoires
Alexandar Georgiev
32
Pourcentage d’arrêts
Alexandar Georgiev
0.894

Statistiques d’équipe
Buts pour
326
4.08 GFG
Tirs pour
2633
32.91 Avg
Pourcentage en avantage numérique
18.4%
56 GF
Début de zone offensive
37.7%
Buts contre
312
3.90 GAA
Tirs contre
2589
32.36 Avg
Pourcentage en désavantage numérique
78.2%
71 GA
Début de la zone défensive
36.0%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,787
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure19
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)X100.007135827778707275657673717355514059710242999,000$
2Taylor Beck (R)X100.007525797382777175787278636959503945710251999,000$
3Nathan GerbeX100.006937767374806874717568607566612421700291975,000$
4Andrej Nestrasil (R)X100.007133777466726869768068536657553559680251800,000$
5Joshua Leivo (R)X100.006626807275737472716775596849454459680231975,000$
6Phil Di Giuseppe (R)X100.006432707668727375675773506447474357650231400,000$
7Juho Lammikko (R)X100.007235667170597071586465585642435351630201550,000$
8Mackenzie MacEachern (R)X100.005830696859676076686269537544444029630222400,000$
9Kurtis Macdermid (R)X100.008060695575617561446748655247505541620222500,000$
10Axel Holmstrom (R)X100.005741706266576462656567566643435054610201400,000$
11Anton Karlsson (R)X100.005923657359604869566256626643435630600201400,000$
12Anton Zlobin (R)X100.005923666559595763536468425746473435590231400,000$
13William Lockwood (R)X100.005226656951584969655759507240406743580182500,000$
14Taylor Leier (R)X100.004827765460605464515567496344444026570221400,000$
15Rasmus Asplund (R)X100.005525636447614569535962467541415825570192500,000$
16Thomas DiPauli (R)X100.005329796761745549525753535344444126560221400,000$
17Patrick WeyX100.007742837373787471647368766770473718730251750,000$
18Juuso Riikola (R)X100.006751727276656866537563666356514054680231500,000$
19Oliver Kylington (R)X100.006029757955606671357856674944425859650191500,000$
20Dan Renouf (R)X100.006247786566695965497558646348485129650222500,000$
21Sami Niku (R)X100.005137637553587370316961543444435643610201500,000$
22William Lagesson (R)X100.005427737455536069266850624942425836600204700,000$
Rayé
1Nicolas Petan (R)X100.006436796668726671817666546045445624660211525,000$
2Tyler Graovac (R)X99.065733606650586067676363595745453423600231400,000$
3Dmitry Sokolov (R)X100.003820635052454949384758356040406420470182500,000$
4Jordan Gross (R)X100.006628625959616462356464574444484028600211400,000$
5Jeremy Roy (R)X100.005137545854495554325844474041425320510191400,000$
MOYENNE D’ÉQUIPE99.97613371686364636756666357614846473862
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 Georgiev98.00588964787670768085775849456957740201500,000$
2Thatcher Demko100.00716576535978786457816947435958660201800,000$
Rayé
1Marek Langhamer100.00635160657154566057517244444518590221400,000$
MOYENNE D’ÉQUIPE99.3364686765696770686670664744584466
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)RW804663109192601421013048518915.13%50173821.731413273624804452056650.22%2316830121.25390001036
2Taylor BeckComets (Van)LW774263105214001481262829015114.89%56180123.3911203147257325132612050.88%3975243001.1719000695
3Andrej NestrasilComets (Van)C80344478-54001331212276513814.98%24143317.9287152822341561165051.34%11554421111.0900000532
4Joshua LeivoComets (Van)RW8022325411240109881735611112.72%26117214.6524671630000104048.98%492918000.9211000152
5Teemu PulkkinenCanucksLW58232346210090641664710413.86%1187315.052689980004673066.67%272913001.0513000212
6Nathan GerbeComets (Van)C3418254383405465100315718.00%2962818.4856117851014391045.94%8121413011.3713000322
7Nicolas PetanComets (Van)C72152338151805268100296615.00%1276610.650222500005320052.76%398179000.9900000300
8Phil Di GiuseppeComets (Van)LW801716331634073451545112011.04%1380610.092025530000142058.62%29406000.8201000124
9Juho LammikkoComets (Van)RW8116153142609143137416611.68%177579.36000080001112142.31%261513000.8200000130
10Juuso RiikolaComets (Van)D7432326498201121008547393.53%97170423.0305562060002201000.00%02245000.3100202100
11Oliver KylingtonComets (Van)D804212521260541017324315.48%78134116.7612371110111138200.00%01250000.3700000000
12Patrick WeyComets (Van)D3231922214053676527174.62%5685726.78145101100111107110.00%02331000.5100000001
13Axel HolmstromComets (Van)C7988162120525457203614.04%156518.24000020000160145.00%280108000.4900000011
14Sami NikuComets (Van)D59011111450048394719130.00%4495216.14022281000173000.00%01222000.2301000000
15Mackenzie MacEachernComets (Van)LW46369-106024235320305.66%133387.350000100000000.00%4138000.5300000000
16William LagessonComets (Van)D701891918023402719133.70%4077411.07101214000036000.00%0321000.2300000100
17Kurtis MacdermidComets (Van)LW74088552106345209130.00%3174410.060001580000660025.00%4123000.2200101000
18Tyler GraovacComets (Van)C5534706027292892010.71%42644.8200003000000161.84%7642000.5300000000
19William LockwoodComets (Van)RW60426140381431328.57%31342.23000000000170055.56%911000.9000000000
20Anton ZlobinComets (Van)RW39235-78024102613237.69%22827.2500004000000171.43%751000.3500000100
21Jordan GrossComets (Van)D5414551803132167136.25%114508.3400004000030100.00%0312000.2200000001
22Dan RenoufComets (Van)D29134-2602326171245.88%2247616.44101249011246000.00%0315000.1700000001
23Anton KarlssonComets (Van)LW47000-400444120.00%1921.97000050002490055.56%910000.0000000000
24Taylor LeierComets (Van)LW36000100010000.00%0100.290000000008000.00%100000.0000000000
25Thomas DiPauliComets (Van)C28000000000000.00%000.030000000000000.00%000000.0000000000
26Rasmus AsplundComets (Van)C37000-360225120.00%0471.2800000000000033.33%612000.0000000000
Statistiques d’équipe totales ou en moyenne154126642469013957630143513022180726127112.20%6551910112.404871119171184281018471555291149.86%3520422407240.72727303352927
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
1Alexandar GeorgievComets (Van)603215110.8943.333496001941832931410.563325610014
2Thatcher DemkoComets (Van)2581200.8584.7512260097683346100.00002357010
3Marek LanghamerComets (Van)40200.8086.5612800147341000.0000113000
Statistiques d’équipe totales ou en moyenne894029110.8823.7748520030525881318510.563328080024


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
Patrick WeyComets (Van)D251991-01-01No200 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
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
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
3021.67192 Lbs6 ft11.33565,767$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Taylor BeckNathan GerbeDennis Everberg55122
2Phil Di GiuseppeAndrej NestrasilJoshua Leivo30122
3Mackenzie MacEachernAxel HolmstromJuho Lammikko10122
4Kurtis MacdermidRasmus AsplundAnton Zlobin5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Patrick WeyOliver Kylington55122
2Juuso RiikolaSami Niku30122
3William LagessonRasmus Asplund10122
4Patrick WeyJuuso Riikola5122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Taylor BeckNathan GerbeDennis Everberg60122
2Phil Di GiuseppeAndrej NestrasilJoshua Leivo40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Patrick WeyOliver Kylington60122
2Juuso RiikolaSami Niku40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Taylor BeckDennis Everberg60122
2Nathan GerbeAndrej Nestrasil40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Patrick WeyJuuso Riikola60122
2Oliver KylingtonSami Niku40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Taylor Beck60122Patrick WeyJuuso Riikola60122
2Dennis Everberg40122Oliver KylingtonSami Niku40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Taylor BeckDennis Everberg60122
2Nathan GerbeAndrej Nestrasil40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Patrick WeyJuuso Riikola60122
2Oliver KylingtonSami Niku40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Taylor BeckNathan GerbeDennis EverbergPatrick WeyJuuso Riikola
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Taylor BeckNathan GerbeDennis EverbergPatrick WeyJuuso Riikola
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Anton Karlsson, William Lockwood, Taylor LeierAnton Karlsson, William LockwoodTaylor Leier
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
William Lagesson, Dan Renouf, Oliver KylingtonWilliam LagessonDan Renouf, Oliver Kylington
Tirs de pénalité
Taylor Beck, Dennis Everberg, Nathan Gerbe, Andrej Nestrasil, Joshua Leivo
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
1Admirals311010001815311000000103720101000812-440.667183149009911410515109818912888491062918677114.29%9277.78%0951186351.05%924177851.97%649129949.96%173296816727531453727
2Barracuda2020000048-41010000035-21010000013-200.00047110099114105156081891288849602314426233.33%7185.71%0951186351.05%924177851.97%649129949.96%173296816727531453727
3Bears31200000914-52110000068-21010000036-320.3339152400991141051511581891288849112443872400.00%19478.95%1951186351.05%924177851.97%649129949.96%173296816727531453727
4Condors2200000013310110000005141100000082641.0001321340099114105155981891288849722010469222.22%5180.00%0951186351.05%924177851.97%649129949.96%173296816727531453727
5Crunch31100001990210000017611010000023-130.5009162500991141051596818912888499933355911218.18%15286.67%0951186351.05%924177851.97%649129949.96%173296816727531453727
6Devils43100000211651010000045-1330000001711660.75021345500991141051512581891288849138524286300.00%21290.48%0951186351.05%924177851.97%649129949.96%173296816727531453727
7Eagles321000001183211000006601100000052340.6671119300099114105159581891288849712822676116.67%110100.00%1951186351.05%924177851.97%649129949.96%173296816727531453727
8Griffins20200000813-51010000056-11010000037-400.00081321009911410515808189128884974222431500.00%12650.00%0951186351.05%924177851.97%649129949.96%173296816727531453727
9Heat20200000212-101010000007-71010000025-300.000246009911410515438189128884972241037800.00%5340.00%0951186351.05%924177851.97%649129949.96%173296816727531453727
10Icehogs201000106601010000045-11000001021120.5006915009911410515628189128884961191445800.00%7185.71%0951186351.05%924177851.97%649129949.96%173296816727531453727
11Little Stars6310010129209310001011712532100000128480.66729417000991141051517781891288849183497615026830.77%39782.05%3951186351.05%924177851.97%649129949.96%173296816727531453727
12Marlies2110000068-2110000005231010000016-520.500610160099114105157081891288849652414344125.00%8275.00%0951186351.05%924177851.97%649129949.96%173296816727531453727
13Monsters22000000743110000004221100000032141.000712190099114105158181891288849812243412325.00%20100.00%0951186351.05%924177851.97%649129949.96%173296816727531453727
14Moose20000110101001000010045-11000001065130.750101626009911410515738189128884963261844500.00%9366.67%0951186351.05%924177851.97%649129949.96%173296816727531453727
15Penguins32100000177101010000034-1220000001431140.667172946009911410515104818912888499122328817741.18%11190.91%0951186351.05%924177851.97%649129949.96%173296816727531453727
16Phantoms522001001720-331100100912-32110000088050.50017274400991141051518081891288849156552611825312.00%13653.85%1951186351.05%924177851.97%649129949.96%173296816727531453727
17Punishers732010013031-14210100014122311000011619-390.64330437300991141051523281891288849209777116336719.44%28678.57%0951186351.05%924177851.97%649129949.96%173296816727531453727
18Rampage6120111027252310001101914530201000811-370.58327447100991141051518581891288849201565813736822.22%29968.97%0951186351.05%924177851.97%649129949.96%173296816727531453727
19Reign210000011174110000007251000000145-130.750111425009911410515668189128884968288468112.50%4175.00%1951186351.05%924177851.97%649129949.96%173296816727531453727
20Rocket421000012218411000000642311000011614250.6252234560099114105151418189128884911248368913215.38%18383.33%2951186351.05%924177851.97%649129949.96%173296816727531453727
21Senators30201000711-42010100067-11010000014-320.3337132000991141051510181891288849943322608112.50%11281.82%0951186351.05%924177851.97%649129949.96%173296816727531453727
22Sound Tigers32001000151052100100010731100000053261.000152540009911410515988189128884910430205713323.08%10370.00%0951186351.05%924177851.97%649129949.96%173296816727531453727
23Thunderbirds3120000078-11010000023-12110000055020.3337111810991141051579818912888491092520791317.69%10190.00%0951186351.05%924177851.97%649129949.96%173296816727531453727
24Wolfpack311000011318-52100000198110100000410-630.5001322350099114105159781891288849912634661119.09%12375.00%0951186351.05%924177851.97%649129949.96%173296816727531453727
25Wolves31100100711-41000010023-12110000058-330.50071219009911410515105818912888499734245811218.18%11281.82%0951186351.05%924177851.97%649129949.96%173296816727531453727
Total8032290553632631214401612035131671491840161702023159163-4910.569326522848109911410515263381891288849258984969017753055618.36%3267178.22%9951186351.05%924177851.97%649129949.96%173296816727531453727
_Since Last GM Reset8032290553632631214401612035131671491840161702023159163-4910.569326522848109911410515263381891288849258984969017753055618.36%3267178.22%9951186351.05%924177851.97%649129949.96%173296816727531453727
_Vs Conference4721150331419517718249602313998811231290100196897570.606195311506109911410515150881891288849150547647210821874021.39%2164081.48%5951186351.05%924177851.97%649129949.96%173296816727531453727
_Vs Division197502212867610104101211503812934010013638-2240.6328612821400991141051559481891288849593182205450982323.47%962277.08%3951186351.05%924177851.97%649129949.96%173296816727531453727

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8091W132652284826332589849690177510
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8032295536326312
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4016123513167149
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4016172023159163
Derniers 10 matchs
WLOTWOTL SOWSOL
350101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3055618.36%3267178.22%9
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
818912888499911410515
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
951186351.05%924177851.97%649129949.96%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
173296816727531453727


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
3 - 2021-12-0211Punishers2Comets3BWR1Sommaire du match
8 - 2021-12-0730Rampage2Comets7BWSommaire du match
10 - 2021-12-0947Comets3Rampage5ALR1Sommaire du match
11 - 2021-12-1053Comets8Devils5AWSommaire du match
13 - 2021-12-1260Comets1Little Stars5ALSommaire du match
15 - 2021-12-1471Comets4Rocket5ALXXSommaire du match
16 - 2021-12-1577Punishers4Comets5BWXR1Sommaire du match
18 - 2021-12-1785Comets3Punishers8ALSommaire du match
21 - 2021-12-20101Little Stars4Comets3BLXXSommaire du match
26 - 2021-12-25123Phantoms6Comets2BLSommaire du match
28 - 2021-12-27138Comets4Devils3AWSommaire du match
30 - 2021-12-29149Wolfpack2Comets1BLXXSommaire du match
32 - 2021-12-31163Comets4Little Stars2AWSommaire du match
34 - 2022-01-02171Senators4Comets2BLSommaire du match
36 - 2022-01-04179Comets1Rampage3ALR1Sommaire du match
38 - 2022-01-06196Crunch5Comets4BLXXSommaire du match
40 - 2022-01-08210Comets1Barracuda3ALSommaire du match
43 - 2022-01-11222Comets5Devils3AWSommaire du match
44 - 2022-01-12231Reign2Comets7BWSommaire du match
47 - 2022-01-15251Condors1Comets5BWSommaire du match
52 - 2022-01-20274Sound Tigers4Comets6BWSommaire du match
55 - 2022-01-23289Thunderbirds3Comets2BLSommaire du match
60 - 2022-01-28314Comets8Condors2AWSommaire du match
61 - 2022-01-29321Rampage6Comets5BLXR1Sommaire du match
64 - 2022-02-01340Wolves3Comets2BLXSommaire du match
68 - 2022-02-05356Comets4Thunderbirds2AWSommaire du match
69 - 2022-02-06368Senators3Comets4BWXSommaire du match
72 - 2022-02-09382Comets7Little Stars1AWSommaire du match
74 - 2022-02-11393Sound Tigers3Comets4BWXSommaire du match
76 - 2022-02-13406Comets5Sound Tigers3AWSommaire du match
79 - 2022-02-16418Griffins6Comets5BLSommaire du match
84 - 2022-02-21443Rampage6Comets7BWXXR1Sommaire du match
86 - 2022-02-23450Comets3Griffins7ALSommaire du match
88 - 2022-02-25463Comets1Marlies6ALSommaire du match
90 - 2022-02-27472Eagles3Comets5BWSommaire du match
92 - 2022-03-01484Comets4Reign5ALXXSommaire du match
94 - 2022-03-03497Devils5Comets4BLSommaire du match
100 - 2022-03-09524Admirals3Comets10BWSommaire du match
103 - 2022-03-12537Comets1Thunderbirds3ALSommaire du match
105 - 2022-03-14550Heat7Comets0BLSommaire du match
110 - 2022-03-19570Comets6Moose5AWXXSommaire du match
111 - 2022-03-20577Punishers4Comets3BLR1Sommaire du match
116 - 2022-03-25600Icehogs5Comets4BLSommaire du match
118 - 2022-03-27609Comets9Punishers6AWR1Sommaire du match
120 - 2022-03-29622Comets4Rampage3AWXSommaire du match
121 - 2022-03-30626Bears5Comets2BLSommaire du match
124 - 2022-04-02641Comets0Wolves5ALSommaire du match
126 - 2022-04-04649Comets8Penguins2AWSommaire du match
127 - 2022-04-05656Crunch1Comets3BWSommaire du match
130 - 2022-04-08678Eagles3Comets1BLSommaire du match
132 - 2022-04-10690Comets5Wolves3AWSommaire du match
134 - 2022-04-12704Monsters2Comets4BWSommaire du match
136 - 2022-04-14710Comets2Icehogs1AWXXSommaire du match
138 - 2022-04-16725Comets1Senators4ALSommaire du match
140 - 2022-04-18732Comets3Monsters2AWSommaire du match
141 - 2022-04-19739Wolfpack6Comets8BWSommaire du match
144 - 2022-04-22757Comets3Admirals8ALSommaire du match
145 - 2022-04-23763Bears3Comets4BWSommaire du match
147 - 2022-04-25776Comets6Penguins1AWSommaire du match
149 - 2022-04-27787Penguins4Comets3BLSommaire du match
152 - 2022-04-30799Comets2Heat5ALSommaire du match
154 - 2022-05-02811Comets5Admirals4AWXSommaire du match
155 - 2022-05-03818Moose5Comets4BLXSommaire du match
158 - 2022-05-06835Comets5Eagles2AWSommaire du match
159 - 2022-05-07843Phantoms2Comets4BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
163 - 2022-05-11863Comets2Crunch3ALSommaire du match
164 - 2022-05-12870Phantoms4Comets3BLXSommaire du match
168 - 2022-05-16890Rocket4Comets6BWSommaire du match
172 - 2022-05-20911Punishers2Comets3BWR1Sommaire du match
174 - 2022-05-22917Comets8Rocket3AWSommaire du match
176 - 2022-05-24925Comets3Bears6ALSommaire du match
177 - 2022-05-25931Comets4Wolfpack10ALSommaire du match
179 - 2022-05-27945Little Stars2Comets9BWSommaire du match
182 - 2022-05-30956Comets4Phantoms5ALSommaire du match
183 - 2022-05-31964Comets4Rocket6ALSommaire du match
186 - 2022-06-03979Little Stars6Comets5BLXSommaire du match
187 - 2022-06-04985Comets4Punishers5ALXXR1Sommaire du match
191 - 2022-06-081001Marlies2Comets5BWSommaire du match
197 - 2022-06-141025Barracuda5Comets3BLSommaire du match
198 - 2022-06-151032Comets4Phantoms3AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance74,73036,749
Assistance PCT93.41%91.87%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2787 - 92.90% 83,128$3,325,125$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,771,007$ 2,732,300$ 2,065,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
13,662$ 2,440,704$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 15,286$ 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