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Comets
GP: 80 | W: 44 | L: 33 | OTL: 3 | P: 91
GF: 314 | GA: 320 | PP%: 19.08% | PK%: 81.00%
DG: Patrick Tremblay | Morale : 56 | Moyenne d’équipe : 64
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Centre de jeu
Rampage
45-28-7, 97pts
7
FINAL
2 Comets
44-33-3, 91pts
Team Stats
W5StreakW1
22-15-3Home Record23-17-0
23-13-4Away Record21-16-3
9-0-1Last 10 Games3-7-0
4.33Buts par match 3.93
3.95Buts contre par match 4.00
19.39%Pourcentage en avantage numérique19.08%
79.82%Pourcentage en désavantage numérique81.00%
Comets
44-33-3, 91pts
6
FINAL
4 Wolfpack
44-25-11, 99pts
Team Stats
W1StreakL1
23-17-0Home Record25-10-5
21-16-3Away Record19-15-6
3-7-0Last 10 Games4-4-2
3.93Buts par match 4.21
4.00Buts contre par match 3.98
19.08%Pourcentage en avantage numérique25.00%
81.00%Pourcentage en désavantage numérique81.27%
Meneurs d'équipe
Buts
Daniel Zaar
60
Passes
Tony DeAngelo
68
Points
Teemu Hartikainen
119
Plus/Moins
Daniel Zaar
14
Victoires
Thatcher Demko
33
Pourcentage d’arrêts
Casey DeSmith
0.894

Statistiques d’équipe
Buts pour
314
3.93 GFG
Tirs pour
2616
32.70 Avg
Pourcentage en avantage numérique
19.1%
50 GF
Début de zone offensive
34.6%
Buts contre
320
4.00 GAA
Tirs contre
2763
34.54 Avg
Pourcentage en désavantage numérique
81.0%%
61 GA
Début de la zone défensive
38.3%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,817
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure19
Limite contact 51 / 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
1Daniel Zaar (R)X100.007025807872767381747470648051484360710231950,000$
2Teemu HartikainenX100.007740777477617977657175726764513160710271950,000$
3Teemu PulkkinenX100.007024767772797377726869667956494076700251900,000$
4Ryan Lomberg (R)X100.008545747486567572597575665754545044700231500,000$
5Andrej NestrasilX100.007433787669757171747870536864583267690261900,000$
6Curtis Lazar (R)X100.006739817470706973717177586949465174690222900,000$
7Denis Gurianov (R)X100.006127837868717675676885516748446876690204950,000$
8Nicolas Petan (R)X100.006536817071746973827869576349465159680223900,000$
9Jean-Sebastien Dea (R)X100.006744777367767167716476617153525729680231500,000$
10Joel Eriksson Ek (R)X100.006527797572736965707162706947446637670204700,000$
11Juho Lammikko (R)X100.007435707672627275636869615944444876670213600,000$
12Phil Di Giuseppe (R)X100.006632727766727577676071546551503967660242600,000$
13Tony DeAngelo (R)X100.006337808069718079439058765664455321720211950,000$
14Jonas BrodinX100.0066287779727277755580667662584941447102411,000,000$
15Juuso Riikola (R)X100.006753727578677068567665706366543766700242900,000$
16Dan Renouf (R)X100.006447786767676267527660666352504778660231500,000$
17Adam Ollas-Mattsson (R)X100.006038697170666563456959734647455341650211350,000$
18Gustav Lindstrom (R)X100.005834767350475778366752654541416541610192500,000$
19Daniil Miromanov (R)X100.006425674963665866256170535044466876600202500,000$
Rayé
1Michael Joly (R)X100.006220776864706758707367566445464444630224600,000$
2Tyler Graovac (R)X100.006033626953616170696365585948463139620241600,000$
3Lane Pederson (R)X100.006850656769666460587060506144425820610202500,000$
4Anton Zlobin (R)X100.006123696561615766556670465647503120600241600,000$
5Brandon Biro (R)X100.006038736456605864655863506441416219590192500,000$
6Rasmus Asplund (R)X100.005726646649644772556064497642425139590201500,000$
7Jaret Anderson-Dolan (R)X100.006440525555416258485359464040406920530182500,000$
8Dmitry Sokolov (R)X100.004021645253485152404859386241415720490191500,000$
9Jack Rathbone (R)X100.006032694245556159305357544340406219530182500,000$
MOYENNE D’ÉQUIPE100.00653473696665676958686759625047504865
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
1Thatcher Demko100.00736676566279796360827151455460680214800,000$
Rayé
1Casey DeSmith (R)90.12816169778059597164598053565046670262800,000$
2Marek Langhamer100.00645361667357586459547445454018610231600,000$
3Michael Dipietro (R)100.00526167435062674452664740406420550182500,000$
MOYENNE D’ÉQUIPE97.5368606861666466615965684747523663
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lanne MacDonald75586370346237USA711325,000$


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
1Teemu HartikainenComets (Van)LW845960119691518613838411621915.36%56187322.301723404724712352487448.77%3676954221.27270011352
2Daniel ZaarComets (Van)RW8460581181452014510235710520016.81%39172320.521513284323200031628648.72%3126832141.374110001291
3Denis GurianovComets (Van)RW734048882320101842729216714.71%22130117.82111526332090004315245.00%806213001.3526000555
4Tony DeAngeloComets (Van)D65136881-44758316021971855.94%112178127.4141519422240665206100.00%05662000.9100010422
5Nicolas PetanComets (Van)C7735447901601171172175210116.13%37140518.2521315271940002716054.18%16023124011.1233000454
6Andrej NestrasilComets (Van)C71245074-23401151351744510313.79%32138819.56711181615821391381250.83%16253524021.0712000334
7Teemu PulkkinenComets (Van)LW80413374-114201201042637513115.59%47151218.9187152817020251794546.81%946627110.9803000467
8Curtis LazarComets (Van)RW803136676120103772147313014.49%19128516.063912241650222581254.90%516027011.0424000324
9Jonas BrodinComets (Van)D7244246-974010311814157662.84%117180325.05369181930005227000.00%03546000.5100000001
10Ryan LombergComets (Van)LW672719461040010768159448816.98%2499614.88358121220000183153.66%412912020.9200000404
11Juho LammikkoComets (Van)RW7918274583008052158479111.39%267779.84022326000006052.17%23369001.1600000243
12Juuso RiikolaComets (Van)D8043236-778011110710341403.88%98179422.44224181910222235100.00%02654000.4000000002
13Phil Di GiuseppeComets (Van)LW73191736104606340149377312.75%1975010.280004360000260150.00%362110010.9600000021
14Joel Eriksson EkComets (Van)C7111233431608310482335813.41%40103014.5110147410141630150.83%846930000.6600000132
15Jean-Sebastien DeaComets (Van)C751220321160724897427712.37%1883211.09123585000031151.79%3922014000.7700000311
16Luca SbisaCanucksD3941822042053658028375.00%4885822.0222413101011289010.00%01720000.5100000012
17Mackenzie MacEachernCanucksLW6361117-28033317221408.33%94086.48000050110190046.67%15138000.8301000010
18Tyler GraovacComets (Van)C5341115-220038284714268.51%153957.4700010000000043.14%15354000.7600000000
19Dan RenoufComets (Van)D8021315-119554804312204.65%53114414.300110900111187000.00%01246000.2601100001
20Gustav LindstromComets (Van)D6121113-216017553212156.25%3467611.08000032000020000.00%0320000.3800000000
21Daniil MiromanovComets (Van)D8011011136037382514154.00%3087910.99112386000040000.00%0424000.2500000000
22Adam Ollas-MattssonComets (Van)D74246122603561298206.90%667259.81011032000090000.00%0218100.1700000001
23Connor MurphyCanucksD19066400162218650.00%1124913.1100002000113000.00%0310000.4800000000
24Michael JolyComets (Van)RW53145-7201124216264.76%52815.3200002000000033.33%966000.3500000100
25William LockwoodCanucksRW61325-3201582671311.54%52153.53000160000140031.11%4535000.4600000001
26Vince HinostrozaCanucksRW16224-10079224169.09%01288.05000080000190036.36%1172000.6201000000
27Rasmus AsplundComets (Van)C53224-24074121416.67%41102.08000000000241048.28%2920000.7200000001
28William LagessonCanucksD5303348014258630.00%324197.9100004000030000.00%0314000.1400000000
29Anton ZlobinComets (Van)RW361010002022050.00%0250.69000030000210100.00%101000.8000000000
30Brandon BiroComets (Van)LW9101-3000121150.00%0232.6600000000080066.67%900000.8400000000
31Lane PedersonComets (Van)C29000120632000.00%1782.7100002000020033.33%3000000.00%00000000
32Jaret Anderson-DolanComets (Van)C11000-140102010.00%0242.2000000000000022.22%900000.00%00000000
33Jack RathboneComets (Van)D11000000000000.00%000.040000000000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne1932429674110325815151935190834321072187112.50%10192690113.9280128208342271161622502335462650.95%57807036165140.821439111594949
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)62332410.8824.073541002402037989501.0007609213
2Casey DeSmithComets (Van)2411920.8943.5912200073689383000.857142050010
3Marek LanghamerComets (Van)30000.8385.29680063719000.00%0021000
Statistiques d’équipe totales ou en moyenne89443330.8853.964830003192763139150218080223


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
Adam Ollas-MattssonComets (Van)D211996-01-01Yes215 Lbs6 ft5NoNoNo1Pro & Farm350,000$0$0$NoLien
Andrej NestrasilComets (Van)C261991-01-01No200 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$No
Anton ZlobinComets (Van)RW241993-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm600,000$0$0$NoLien
Brandon BiroComets (Van)LW191998-01-01Yes170 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Casey DeSmithComets (Van)G261991-01-01Yes181 Lbs6 ft0NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Curtis LazarComets (Van)RW221995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No995,000$Lien
Dan RenoufComets (Van)D231994-01-01Yes198 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$NoLien
Daniel ZaarComets (Van)RW231994-01-01Yes167 Lbs5 ft11NoNoNo1Pro & Farm950,000$0$0$NoLien
Daniil MiromanovComets (Van)D201997-01-01Yes202 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Denis GurianovComets (Van)RW201997-01-01Yes200 Lbs6 ft3NoNoNo4Pro & Farm950,000$0$0$No1,500,000$1,800,000$2,200,000$Lien
Dmitry SokolovComets (Van)LW191998-01-01Yes209 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Gustav LindstromComets (Van)D191998-01-01Yes183 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jack RathboneComets (Van)D181999-01-01Yes177 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jaret Anderson-DolanComets (Van)C181999-01-01Yes200 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Jean-Sebastien DeaComets (Van)C231994-01-01Yes168 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Joel Eriksson EkComets (Van)C201997-01-01Yes210 Lbs6 ft1NoNoNo4Pro & Farm700,000$0$0$No900,000$1,500,000$2,000,000$Lien
Jonas BrodinComets (Van)D241993-01-01No194 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$0$0$No
Juho LammikkoComets (Van)RW211996-01-01Yes191 Lbs6 ft2NoNoNo3Pro & Farm600,000$0$0$No800,000$900,000$Lien
Juuso RiikolaComets (Van)D241993-01-01Yes189 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Lane PedersonComets (Van)C201997-01-01Yes192 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Marek LanghamerComets (Van)G231994-01-01No181 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$NoLien
Michael DipietroComets (Van)G181999-01-01Yes200 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Michael JolyComets (Van)RW221995-01-01Yes185 Lbs5 ft10NoNoNo4Pro & Farm600,000$0$0$No600,000$800,000$800,000$Lien
Nicolas PetanComets (Van)C221995-01-01Yes185 Lbs5 ft9NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Phil Di GiuseppeComets (Van)LW241993-01-01Yes197 Lbs5 ft11NoNoNo2Pro & Farm600,000$0$0$No800,000$Lien
Rasmus AsplundComets (Van)C201997-01-01Yes190 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$NoLien
Ryan LombergComets (Van)LW231994-01-01Yes196 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$NoLien
Teemu HartikainenComets (Van)LW271990-01-01No215 Lbs6 ft1NoNoNo1Pro & Farm950,000$0$0$No
Teemu PulkkinenComets (Van)LW251992-01-01No183 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$No
Thatcher DemkoComets (Van)G211996-01-01No192 Lbs6 ft4NoNoNo4Pro & Farm800,000$0$0$No900,000$900,000$1,100,000$Lien
Tony DeAngeloComets (Van)D211996-01-01Yes180 Lbs5 ft11NoNoNo1Pro & Farm950,000$0$0$NoLien
Tyler GraovacComets (Van)C241993-01-01Yes212 Lbs6 ft5NoNoNo1Pro & Farm600,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3221.88191 Lbs6 ft11.84673,438$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Teemu HartikainenAndrej NestrasilDaniel Zaar62122
2Teemu PulkkinenNicolas PetanCurtis Lazar24122
3Ryan LombergJean-Sebastien DeaDenis Gurianov10122
4Phil Di GiuseppeJoel Eriksson EkJuho Lammikko4122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tony DeAngeloJonas Brodin59122
2Juuso RiikolaDan Renouf26122
3Adam Ollas-MattssonGustav Lindstrom10122
4Daniil MiromanovTony DeAngelo5122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Teemu HartikainenAndrej NestrasilDaniel Zaar70005
2Teemu PulkkinenNicolas PetanCurtis Lazar30005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tony DeAngeloJonas Brodin70005
2Juuso RiikolaDan Renouf30005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Andrej NestrasilTeemu Hartikainen60122
2Nicolas PetanTeemu Pulkkinen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tony DeAngeloJonas Brodin60122
2Juuso RiikolaDan Renouf40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Andrej Nestrasil60122Tony DeAngeloJonas Brodin60122
2Nicolas Petan40122Juuso RiikolaDan Renouf40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Andrej NestrasilTeemu Hartikainen60122
2Nicolas PetanTeemu Pulkkinen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tony DeAngeloJonas Brodin60122
2Juuso RiikolaDan Renouf40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Teemu HartikainenAndrej NestrasilDaniel ZaarTony DeAngeloJonas Brodin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Teemu HartikainenAndrej NestrasilDaniel ZaarTony DeAngeloJonas Brodin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Curtis Lazar, Denis Gurianov, Andrej NestrasilCurtis Lazar, Denis GurianovCurtis Lazar
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Ollas-Mattsson, Gustav Lindstrom, Daniil MiromanovAdam Ollas-MattssonAdam Ollas-Mattsson, Gustav Lindstrom
Tirs de pénalité
Daniel Zaar, Teemu Hartikainen, Teemu Pulkkinen, Ryan Lomberg, Curtis Lazar
Gardien
#1 : , #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
1Admirals32100000161332110000010911100000064240.6671630460089104112101078579238243210741186311436.36%9366.67%0852170849.88%972189051.43%689134151.38%169094717137461431709
2Barracuda21001000853100010004311100000042241.000813210089104112106585792382432662014465120.00%7271.43%0852170849.88%972189051.43%689134151.38%169094717137461431709
3Bears412010001819-110001000651312000001214-240.500182947008910411210146857923824321424228949222.22%13561.54%2852170849.88%972189051.43%689134151.38%169094717137461431709
4Condors20100001612-61010000038-51000000134-110.250610160089104112105385792382432622114439111.11%7185.71%0852170849.88%972189051.43%689134151.38%169094717137461431709
5Crunch43100000191182110000098122000000103760.7501934530089104112101328579238243213637149215320.00%7185.71%2852170849.88%972189051.43%689134151.38%169094717137461431709
6Devils310002001314-11100000054120000200810-240.6671321340089104112109585792382432934016488112.50%8187.50%0852170849.88%972189051.43%689134151.38%169094717137461431709
7Eagles431000002391421100000954220000001441060.7502339620089104112101618579238243212853437811218.18%19289.47%0852170849.88%972189051.43%689134151.38%169094717137461431709
8Griffins2020000038-51010000023-11010000015-400.000347008910411210558579238243289221644600.00%80100.00%0852170849.88%972189051.43%689134151.38%169094717137461431709
9Heat210010001192110000004311000100076141.0001116270089104112107185792382432652084210110.00%4250.00%0852170849.88%972189051.43%689134151.38%169094717137461431709
10Icehogs2110000078-1110000005411010000024-220.500713200089104112105585792382432802312516233.33%6183.33%0852170849.88%972189051.43%689134151.38%169094717137461431709
11Little Stars642000002124-3321000001213-132100000911-280.66721315200891041121017285792382432218566812118527.78%34682.35%1852170849.88%972189051.43%689134151.38%169094717137461431709
12Marlies2010001078-1100000103211010000046-220.50071017008910411210598579238243265242039400.00%10190.00%0852170849.88%972189051.43%689134151.38%169094717137461431709
13Monsters20200000314-111010000017-61010000027-500.000347008910411210608579238243277282441600.00%12283.33%0852170849.88%972189051.43%689134151.38%169094717137461431709
14Moose22000000963110000004221100000054141.000914230089104112106285792382432792422337342.86%11281.82%0852170849.88%972189051.43%689134151.38%169094717137461431709
15Penguins30300000917-81010000025-320200000712-500.000918270089104112109885792382432113323758600.00%16568.75%0852170849.88%972189051.43%689134151.38%169094717137461431709
16Phantoms7240001028271413000001516-1311000101311260.42928457300891041121023985792382432242935215526830.77%27485.19%0852170849.88%972189051.43%689134151.38%169094717137461431709
17Punishers65100000242043300000013943210000011110100.83324396300891041121018585792382432210587212016425.00%36586.11%0852170849.88%972189051.43%689134151.38%169094717137461431709
18Rampage613010102428-4302000101117-6311010001311260.50024386200891041121018685792382432209715211526623.08%26676.92%0852170849.88%972189051.43%689134151.38%169094717137461431709
19Reign21100000711-4110000006421010000017-620.500713200089104112108085792382432732918436116.67%9633.33%0852170849.88%972189051.43%689134151.38%169094717137461431709
20Rocket210000101275100000104311100000084441.0001221330089104112106585792382432781912396116.67%60100.00%0852170849.88%972189051.43%689134151.38%169094717137461431709
21Senators2110000046-2110000003211010000014-320.5004610008910411210658579238243253312227600.00%11190.91%0852170849.88%972189051.43%689134151.38%169094717137461431709
22Sound Tigers321000001183211000007701100000041340.667111829008910411210988579238243296348691516.67%40100.00%0852170849.88%972189051.43%689134151.38%169094717137461431709
23Thunderbirds3120000079-2211000006601010000013-220.3337121900891041121092857923824329326226410110.00%11190.91%0852170849.88%972189051.43%689134151.38%169094717137461431709
24Wolfpack3210000013121110000005412110000088040.667132235008910411210103857923824329436186113215.38%9188.89%0852170849.88%972189051.43%689134151.38%169094717137461431709
25Wolves302010001115-420200000611-51000100054120.33311182900891041121011285792382432954422637114.29%11372.73%0852170849.88%972189051.43%689134151.38%169094717137461431709
Total80353305241314320-640181702030155160-540171603211159160-1910.569314518832008910411210261685792382432276392465216492625019.08%3216181.00%5852170849.88%972189051.43%689134151.38%169094717137461431709
_Since Last GM Reset80353305241314320-640181702030155160-540171603211159160-1910.569314518832008910411210261685792382432276392465216492625019.08%3216181.00%5852170849.88%972189051.43%689134151.38%169094717137461431709
_Vs Conference482319032101931867231110010109194-325129022001029210560.58319331951200891041121015808579238243216275294009831542818.18%1943681.44%5852170849.88%972189051.43%689134151.38%169094717137461431709
_Vs Division18106010106972-3953000103639-39530100033330240.6676910817700891041121054385792382432637185192356601525.00%961782.29%1852170849.88%972189051.43%689134151.38%169094717137461431709

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8091W131451883226162763924652164900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8035335241314320
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4018172030155160
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4017163211159160
Derniers 10 matchs
WLOTWOTL SOWSOL
271000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2625019.08%3216181.00%5
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
857923824328910411210
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
852170849.88%972189051.43%689134151.38%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
169094717137461431709


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 - 2022-10-2914Phantoms3Comets2BLSommaire du match
6 - 2022-11-0128Punishers4Comets5BWR1Sommaire du match
8 - 2022-11-0341Comets6Punishers5AWSommaire du match
11 - 2022-11-0654Rampage4Comets5BWXXR1Sommaire du match
13 - 2022-11-0871Comets4Little Stars3AWSommaire du match
15 - 2022-11-1076Comets5Phantoms1AWSommaire du match
17 - 2022-11-1287Phantoms3Comets5BWSommaire du match
18 - 2022-11-1394Comets4Rampage5ALR1Sommaire du match
21 - 2022-11-16113Phantoms4Comets3BLSommaire du match
23 - 2022-11-18127Comets2Bears4ALSommaire du match
25 - 2022-11-20137Little Stars2Comets4BWSommaire du match
30 - 2022-11-25159Punishers3Comets4BWR1Sommaire du match
35 - 2022-11-30183Sound Tigers5Comets3BLSommaire du match
38 - 2022-12-03199Comets4Penguins5ALSommaire du match
39 - 2022-12-04209Moose2Comets4BWSommaire du match
43 - 2022-12-08226Comets4Sound Tigers1AWSommaire du match
45 - 2022-12-10235Icehogs4Comets5BWSommaire du match
48 - 2022-12-13252Comets4Punishers3AWR1Sommaire du match
50 - 2022-12-15260Comets1Little Stars5ALSommaire du match
52 - 2022-12-17266Phantoms6Comets5BLSommaire du match
54 - 2022-12-19277Comets8Rocket4AWSommaire du match
57 - 2022-12-22292Eagles2Comets7BWSommaire du match
60 - 2022-12-25302Comets4Barracuda2AWSommaire du match
62 - 2022-12-27317Barracuda3Comets4BWXSommaire du match
67 - 2023-01-01341Marlies2Comets3BWXXSommaire du match
69 - 2023-01-03355Comets7Eagles2AWSommaire du match
71 - 2023-01-05368Wolves6Comets3BLSommaire du match
76 - 2023-01-10390Comets9Bears4AWSommaire du match
77 - 2023-01-11395Senators2Comets3BWSommaire du match
80 - 2023-01-14414Comets1Bears6ALSommaire du match
82 - 2023-01-16420Sound Tigers2Comets4BWSommaire du match
86 - 2023-01-20444Wolves5Comets3BLSommaire du match
88 - 2023-01-22451Comets7Eagles2AWSommaire du match
90 - 2023-01-24463Comets1Griffins5ALSommaire du match
91 - 2023-01-25473Devils4Comets5BWSommaire du match
95 - 2023-01-29496Eagles3Comets2BLSommaire du match
97 - 2023-01-31507Comets3Condors4ALXXSommaire du match
101 - 2023-02-04522Admirals4Comets2BLSommaire du match
103 - 2023-02-06536Comets4Devils5ALXSommaire du match
105 - 2023-02-08548Punishers2Comets4BWR1Sommaire du match
107 - 2023-02-10558Comets2Monsters7ALSommaire du match
109 - 2023-02-12568Comets7Heat6AWXSommaire du match
110 - 2023-02-13577Wolfpack4Comets5BWSommaire du match
114 - 2023-02-17595Comets4Little Stars3AWSommaire du match
116 - 2023-02-19603Comets1Reign7ALSommaire du match
117 - 2023-02-20609Rocket3Comets4BWXXSommaire du match
121 - 2023-02-24628Penguins5Comets2BLSommaire du match
123 - 2023-02-26641Comets1Senators4ALSommaire du match
126 - 2023-03-01654Comets6Admirals4AWSommaire du match
127 - 2023-03-02660Crunch5Comets7BWSommaire du match
130 - 2023-03-05679Little Stars8Comets4BLSommaire du match
132 - 2023-03-07686Comets7Rampage5AWR1Sommaire du match
134 - 2023-03-09702Comets1Thunderbirds3ALSommaire du match
136 - 2023-03-11711Heat3Comets4BWSommaire du match
138 - 2023-03-13720Comets6Phantoms5AWXXSommaire du match
140 - 2023-03-15732Comets2Icehogs4ALSommaire du match
142 - 2023-03-17741Reign4Comets6BWSommaire du match
145 - 2023-03-20758Comets5Wolves4AWXSommaire du match
147 - 2023-03-22764Comets5Moose4AWSommaire du match
148 - 2023-03-23771Condors8Comets3BLSommaire du match
151 - 2023-03-26789Crunch3Comets2BLSommaire du match
153 - 2023-03-28798Comets6Crunch2AWSommaire du match
157 - 2023-04-01815Thunderbirds1Comets3BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
162 - 2023-04-06838Comets4Marlies6ALSommaire du match
163 - 2023-04-07844Bears5Comets6BWXSommaire du match
167 - 2023-04-11865Griffins3Comets2BLSommaire du match
169 - 2023-04-13876Comets4Devils5ALXSommaire du match
171 - 2023-04-15891Monsters7Comets1BLSommaire du match
172 - 2023-04-16893Comets4Crunch1AWSommaire du match
177 - 2023-04-21916Little Stars3Comets4BWSommaire du match
179 - 2023-04-23923Comets2Phantoms5ALSommaire du match
181 - 2023-04-25932Comets2Wolfpack4ALSommaire du match
183 - 2023-04-27942Comets2Rampage1AWXR1Sommaire du match
184 - 2023-04-28950Admirals5Comets8BWSommaire du match
189 - 2023-05-03973Thunderbirds5Comets3BLSommaire du match
194 - 2023-05-08994Rampage6Comets4BLR1Sommaire du match
195 - 2023-05-091000Comets3Penguins7ALSommaire du match
197 - 2023-05-111007Comets1Punishers3ALR1Sommaire du match
202 - 2023-05-161022Rampage7Comets2BLSommaire du match
203 - 2023-05-171028Comets6Wolfpack4AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance74,82537,871
Assistance PCT93.53%94.68%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2817 - 93.91% 83,657$3,346,287$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,696,401$ 2,155,000$ 2,065,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,461$ 2,357,612$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 12,039$ 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