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Comets
GP: 82 | W: 51 | L: 26 | OTL: 5 | P: 107
GF: 189 | GA: 147 | PP%: 9.21% | PK%: 86.83%
DG: | Morale : 50 | Moyenne d’équipe : 58
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Centre de jeu
Heat
28-49-5, 61pts
1
FINAL
3 Comets
51-26-5, 107pts
Team Stats
L2SéquenceL1
15-24-2Fiche domicile31-8-2
13-25-3Fiche domicile20-18-3
3-6-1Derniers 10 matchs8-1-1
2.05Buts par match 2.30
2.89Buts contre par match 1.79
16.59%Pourcentage en avantage numérique9.21%
82.99%Pourcentage en désavantage numérique86.83%
Comets
51-26-5, 107pts
1
FINAL
2 Oceanics
56-21-5, 117pts
Team Stats
L1SéquenceW1
31-8-2Fiche domicile25-12-4
20-18-3Fiche domicile31-9-1
8-1-1Derniers 10 matchs6-2-2
2.30Buts par match 2.70
1.79Buts contre par match 1.55
9.21%Pourcentage en avantage numérique16.80%
86.83%Pourcentage en désavantage numérique88.65%
Meneurs d'équipe
Buts
Alexandre Texier
38
Passes
Griffin Mendel
31
Points
Alexandre Texier
63
Plus/Moins
Aleksi Heponiemi
26
Victoires
Lukas Dostal
51
Pourcentage d’arrêts
Matthew Villalta
0.926

Statistiques d’équipe
Buts pour
189
2.30 GFG
Tirs pour
1590
19.39 Avg
Pourcentage en avantage numérique
9.2%
21 GF
Début de zone offensive
36.9%
Buts contre
147
1.79 GAA
Tirs contre
1680
20.49 Avg
Pourcentage en désavantage numérique
86.8%%
32 GA
Début de la zone défensive
42.3%
Informations de l'équipe

Directeur général
DivisionNord
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,918
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 50
Espoirs18


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 moyen
1Alexandre TexierXX100.005941878169636357406475807258580506802311,000,000$
2Brad MaloneXX100.00604761616668686156625461597066050610331600,000$
3Aleksi HeponiemiXX100.00544372715264646359655559645251050600231925,001$
4Joe SnivelyX100.00574468715665636142625563625550050600262900,000$
5Filip Hallander (R)X100.00624570696463626342615659635150050600222764,167$
6Aidan Dudas (R)X100.00534368715365646342605653635150050590222786,667$
7Semyon Der-Arguchintsev (R)X100.00544370715562616359635655645050050590222766,667$
8Mathias Laferriere (R)X100.00604471696263625941585359605150050590221700,000$
9Andre Lee (R)XX100.00654663587061605840515254565050050560221900,000$
10Mason Primeau (R)X100.0065546758715956565252525456505005056N0211620,000$
11Navrin Mutter (R)X100.0060585959666161574054545457505005056N0211620,000$
12Maksim SushkoX100.00717183647150515049415261514444050550231775,002$
13Ivan Lodnia (R)X100.00534753565554525240505152525050050520231747,500$
14Griffin MendelX100.0064466863716463604054566260525005061N0231620,000$
15Max GildonX100.00614563666563626040555263595250050600231700,000$
16Michael Callahan (R)X100.0062456466666261584052526159515005059N0232620,000$
17Markus PhillipsX100.00717381657351534225333659364444050540231796,667$
18Case McCarthy (R)X100.00464597627146613525323044345454050490213650,000$
Rayé
1Bulat Shafigullin (R)X100.00444276656157813848293742425454050480222700,000$
2Stanislav Demin (R)X100.00515369607140523125272848325050050480222700,000$
MOYENNE D’ÉQUIPE100.0059497165645961544251515755525105057
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 moyen
1Lukas Dostal (R)100.0078717272757574747675745651050680222822,500$
2Matthew Villalta (R)100.0072626358666870697067585250050610232620,000$
Rayé
1Troy Grosenick100.00666459636364656265636569620505903311,100,000$
MOYENNE D’ÉQUIPE100.007266656468697068706866595405063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Alexandre TexierComets (Van)C/LW7438256321100482332746217713.87%22161621.8525732175123720811145.14%175000110.78211000784
2Aleksi HeponiemiComets (Van)C/LW8224254926160661691465211216.44%8172621.051231119410142015253.02%57900010.57513000444
3Filip HallanderComets (Van)C82221840142201021731703311512.94%16151818.524481813500041223145.01%138400010.5349000465
4Griffin MendelComets (Van)D827313822660156697126429.86%59184622.52279261890222172100%000000.4133000433
5Semyon Der-ArguchintsevComets (Van)C828243232406012411328837.08%15124815.22011521000182054.95%27300000.5104000142
6Mathias LaferriereComets (Van)C82131932620065162122208010.66%11129515.80000020002584046.21%81800000.4903000614
7Michael CallahanComets (Van)D823283118560124757522354.00%63167620.44224471820000176000%000000.3700000013
8Max GildonComets (Van)D67523281532010174537359.43%62150922.52235321520110144100%000000.3700000211
9Joe SnivelyComets (Van)LW2871623920256062174311.29%655619.880339620001451061.36%4400000.8312000130
10Maksim SushkoComets (Van)RW82129211742101234462184619.35%11140817.183146192000063148.78%8200000.3000002115
11Andre LeeComets (Van)C/LW8261319816083636218579.68%7104312.720111310001553151.52%13200000.3600000114
12Navrin MutterComets (Van)LW8261319432090709530546.32%4113513.84011111180001321051.92%5200000.3300000123
13Ivan LodniaComets (Van)RW82412161612065556723485.97%9144517.6303313179000013153.66%8200000.2200000311
14Aidan DudasComets (Van)LW316814440194042113214.29%446314.960113150001290143.48%2300000.6002000201
15Brad MaloneComets (Van)C/LW16581382024192972117.24%234021.293039340001391052.53%9900000.7602000131
16Kyle CapobiancoVancouverD15491371003429224618.18%1336724.501011042011052010%000000.7100000210
17Markus PhillipsComets (Van)D822111317535123362410128.33%60163319.9303381740000166000%000000.1600010011
18Mason PrimeauComets (Van)C823696100272729111610.34%44215.131122350001221062.35%8500000.4300000001
19Case McCarthyComets (Van)D820441020261510030%32137916.820115510000670029.73%3700000.0600000000
20Bulat ShafigullinComets (Van)C58213-12041080125.00%22364.070001220000400044.58%8300100.2500000010
21Stanislav DeminComets (Van)D700225655126206040%35115316.4700002800007800100.00%100000.0300001001
Statistiques d’équipe totales ou en moyenne142517730548223549820149115671542399102211.48%4452402116.86213960249204226826172940947.39%552400230.401549013404244
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
1Lukas DostalComets (Van)82512650.9151.734893121214116530100.80451820864
2Matthew VillaltaComets (Van)40000.9261.26950022700000082000
Statistiques d’équipe totales ou en moyenne86512650.9151.72498812121431680010518282864


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire moyen 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 10Lien
Aidan DudasComets (Van)LW222000-06-15Yes161 Lbs5 ft8NoNoNoNo2Pro & Farm786,667$0$0$No786,667$Lien
Aleksi HeponiemiComets (Van)C/LW231999-01-09No154 Lbs5 ft10NoNoNoNo1Pro & Farm925,001$0$0$NoLien
Alexandre TexierComets (Van)C/LW231999-09-12No186 Lbs6 ft1NoNoNoNo1Pro & Farm1,000,000$0$0$NoLien
Andre LeeComets (Van)C/LW222000-07-26Yes205 Lbs6 ft5NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Brad Malone (contrat à 1 volet)Comets (Van)C/LW331989-05-20No216 Lbs6 ft2NoNoYesYes1Pro & Farm600,000$0$0$NoLien
Bulat ShafigullinComets (Van)C221999-12-29Yes161 Lbs6 ft1NoNoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Case McCarthyComets (Van)D212001-01-09Yes198 Lbs6 ft1NoNoNoNo3Pro & Farm650,000$0$0$No650,000$650,000$Lien
Filip HallanderComets (Van)C222000-06-29Yes190 Lbs6 ft1NoNoNoNo2Pro & Farm764,167$0$0$No764,167$Lien
Griffin Mendel (contrat à 1 volet)Comets (Van)D231999-02-18No216 Lbs6 ft4YesNoNoNo1Pro & Farm620,000$0$0$NoLien
Ivan LodniaComets (Van)RW231999-08-31Yes195 Lbs6 ft0NoNoNoNo1Pro & Farm747,500$0$0$NoLien
Joe SnivelyComets (Van)LW261996-01-01No174 Lbs5 ft9NoNoYesYes2Pro & Farm900,000$0$0$No900,000$Lien
Lukas DostalComets (Van)G222000-06-22Yes174 Lbs6 ft2NoNoNoNo2Pro & Farm822,500$0$0$No822,500$Lien
Maksim SushkoComets (Van)RW231999-02-10No198 Lbs6 ft0NoNoNoNo1Pro & Farm775,002$0$0$NoLien
Markus PhillipsComets (Van)D231999-03-21No202 Lbs6 ft0NoNoNoNo1Pro & Farm796,667$0$0$NoLien
Mason Primeau (contrat à 1 volet)Comets (Van)C212001-07-28Yes205 Lbs6 ft5YesNoNoNo1Pro & Farm620,000$0$0$NoLien
Mathias LaferriereComets (Van)C222000-06-27Yes174 Lbs6 ft1NoNoNoNo1Pro & Farm700,000$0$0$NoLien
Matthew VillaltaComets (Van)G231999-06-03Yes165 Lbs6 ft3NoNoNoNo2Pro & Farm620,000$0$0$No620,000$Lien
Max GildonComets (Van)D231999-05-17No194 Lbs6 ft3NoNoNoNo1Pro & Farm700,000$0$0$NoLien
Michael Callahan (contrat à 1 volet)Comets (Van)D231999-09-23Yes196 Lbs6 ft2YesNoNoNo2Pro & Farm620,000$0$0$No620,000$Lien
Navrin Mutter (contrat à 1 volet)Comets (Van)LW212001-03-15Yes198 Lbs6 ft4YesNoNoNo1Pro & Farm620,000$0$0$NoLien
Semyon Der-ArguchintsevComets (Van)C222000-09-15Yes161 Lbs5 ft10NoNoNoNo2Pro & Farm766,667$0$0$No766,667$Lien
Stanislav DeminComets (Van)D222000-04-04Yes190 Lbs6 ft2NoNoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Troy Grosenick (contrat à 1 volet)Comets (Van)G331989-08-27No185 Lbs6 ft1NoNoYesYes1Pro & Farm1,100,000$200,000$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2323.39187 Lbs6 ft11.48758,007$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MaloneAlexandre TexierMaksim Sushko40122
2Joe SnivelyAleksi HeponiemiIvan Lodnia30122
3Aidan DudasFilip HallanderMathias Laferriere20122
4Navrin MutterMathias LaferriereAlexandre Texier10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Griffin MendelMax Gildon40122
2Michael CallahanMarkus Phillips30122
3Case McCarthySemyon Der-Arguchintsev20122
4Griffin MendelMax Gildon10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brad MaloneAlexandre TexierMaksim Sushko60122
2Joe SnivelyAleksi HeponiemiIvan Lodnia40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Griffin MendelMax Gildon60122
2Michael CallahanMarkus Phillips40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alexandre TexierBrad Malone60122
2Aleksi HeponiemiJoe Snively40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Griffin MendelMax Gildon60122
2Michael CallahanMarkus Phillips40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alexandre Texier60122Griffin MendelMax Gildon60122
2Brad Malone40122Michael CallahanMarkus Phillips40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alexandre TexierBrad Malone60122
2Aleksi HeponiemiJoe Snively40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Griffin MendelMax Gildon60122
2Michael CallahanMarkus Phillips40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MaloneAlexandre TexierMaksim SushkoGriffin MendelMax Gildon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brad MaloneAlexandre TexierMaksim SushkoGriffin MendelMax Gildon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Andre Lee, Mason Primeau, Filip HallanderAndre Lee, Mason PrimeauFilip Hallander
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Case McCarthy, Michael Callahan, Markus PhillipsCase McCarthyMichael Callahan, Markus Phillips
Tirs de pénalité
Alexandre Texier, Brad Malone, Aleksi Heponiemi, Joe Snively, Filip Hallander
Gardien
#1 : Lukas Dostal, #2 : Matthew Villalta


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
1Admirals31100100871210001007521010000012-130.500814220081494817555294785468751119401119.09%220.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
2Baby Hawks30200001410-61010000013-22010000137-410.16747110081494817615294785468775193262500.00%10370.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
3Bears22000000624110000003121100000031241.00061218008149481731529478546873918836500.00%4175.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
4Bruins21100000312110000003031010000001-120.500358018149481730529478546872461228300.00%50100.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
5Cabaret Lady Mary Ann21100000321110000003121010000001-120.5003580081494817375294785468722412419222.22%50100.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
6Caroline20100010660100000104311010000023-120.5006814008149481734529478546874718164110110.00%8275.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
7Chiefs31100010862210000107431010000012-140.667891700814948175252947854687682022581100.00%100100.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
8Chill31000020945100000102112100001073461.0009122101814948176052947854687581718529111.11%9188.89%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
9Cougars21000010642100000103211100000032141.0006101600814948174452947854687601112357228.57%6183.33%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
10Crunch22000000523110000003121100000021141.00058130081494817425294785468749121444700.00%70100.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
11Heat4310000014952110000045-122000000104660.7501424380081494817975294785468779221873900.00%9366.67%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
12Jayhawks33000000175122200000011471100000061561.000172643008149481797529478546876782257100.00%110100.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
13Las Vegas4220000057-22110000023-12110000034-140.50051015018149481785529478546877413187712216.67%8187.50%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
14Manchots2110000045-1110000003211010000013-220.50047110081494817385294785468753112039600.00%10280.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
15Marlies21100000541110000003121010000023-120.500581300814948173652947854687451414535120.00%7185.71%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
16Minnesota32100000743110000004042110000034-140.667712190181494817625294785468760232261400.00%110100.00%1999204948.76%1091234846.47%541115546.84%1893131120586091039505
17Monarchs421000109632010001045-12200000051460.7509152401814948177252947854687451912626233.33%60100.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
18Monsters22000000422110000002111100000021141.000471100814948173652947854687341221347114.29%70100.00%1999204948.76%1091234846.47%541115546.84%1893131120586091039505
19Monsters3120000035-21010000013-22110000022020.33335801814948173752947854687661729368112.50%12191.67%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
20Oceanics32100000532220000004131010000012-140.667591401814948175452947854687619257017211.76%9188.89%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
21Oil Kings421000011082211000004402100000164250.625101929008149481767529478546878724228210110.00%10190.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
22Phantoms21100000440110000002111010000023-120.50047110081494817595294785468738111043700.00%50100.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
23Rocket20000011660100000104311000000123-130.750610160081494817515294785468745121447500.00%7185.71%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
24Sags43100000972220000005142110000046-260.7509162501814948176552947854687782434719111.11%14285.71%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
25Seattle3020001026-41010000002-22010001024-220.3332240181494817375294785468763131257600.00%60100.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
26Senators210000014401000000112-11100000032130.75048120081494817365294785468734131623700.00%8187.50%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
27Sound Tigers20001010202100000101011000100010141.0002240281494817355294785468749172046600.00%90100.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
28Spiders2010100046-2100010002111010000025-320.5004711008149481736529478546874261255900.00%6266.67%1999204948.76%1091234846.47%541115546.84%1893131120586091039505
29Stars3120000057-2211000005501010000002-220.3335101500814948173952947854687692136416233.33%16568.75%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
30Thunder22000000927110000004221100000050541.000913220181494817715294785468755144534125.00%20100.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
31Wolf Pack21100000330110000003211010000001-120.500347008149481734529478546874310829700.00%4175.00%0999204948.76%1091234846.47%541115546.84%1893131120586091039505
Total82402602194189147424123801171105693641171801023847861070.6521893115000128149481715905294785468716804495441546228219.21%2433286.83%3999204948.76%1091234846.47%541115546.84%1893131120586091039505
_Since Last GM Reset82402602194189147424123801171105693641171801023847861070.6521893115000128149481715905294785468716804495441546228219.21%2433286.83%3999204948.76%1091234846.47%541115546.84%1893131120586091039505
_Vs Conference431916000531018714211070004056431322990001345441510.5931011652660481494817842529478546879312373018121101110.00%1361886.76%1999204948.76%1091234846.47%541115546.84%1893131120586091039505
_Vs Division24440001158441412220001035211412220000123230110.22958901480481494817462529478546875241342064376169.84%881187.50%1999204948.76%1091234846.47%541115546.84%1893131120586091039505

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82107L1189311500159016804495441546012
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8240262194189147
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41238117110569
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
41171810238478
Derniers 10 matchs
WLOTWOTL SOWSOL
810100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
228219.21%2433286.83%3
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
5294785468781494817
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
999204948.76%1091234846.47%541115546.84%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1893131120586091039505


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2023-10-118Oil Kings1Comets0BLSommaire du match
5 - 2023-10-1431Comets2Oil Kings3ALXXSommaire du match
8 - 2023-10-1742Comets2Phantoms3ALSommaire du match
10 - 2023-10-1955Comets5Thunder0AWSommaire du match
12 - 2023-10-2168Comets0Cabaret Lady Mary Ann1ALSommaire du match
15 - 2023-10-2495Comets4Chill3AWXXSommaire du match
18 - 2023-10-27116Chiefs3Comets4BWXXSommaire du match
19 - 2023-10-28124Wolf Pack2Comets3BWSommaire du match
22 - 2023-10-31140Chill1Comets2BWXXSommaire du match
24 - 2023-11-02156Comets1Sags4ALSommaire du match
26 - 2023-11-04172Stars4Comets2BLSommaire du match
28 - 2023-11-06179Oil Kings3Comets4BWSommaire du match
31 - 2023-11-09197Comets3Senators2AWSommaire du match
33 - 2023-11-11215Comets2Marlies3ALSommaire du match
34 - 2023-11-12224Comets2Rocket3ALXXSommaire du match
37 - 2023-11-15241Sound Tigers0Comets1BWXXSommaire du match
38 - 2023-11-16247Comets6Heat2AWSommaire du match
40 - 2023-11-18265Seattle2Comets0BLSommaire du match
42 - 2023-11-20278Sags1Comets3BWSommaire du match
44 - 2023-11-22292Comets1Monsters0AWSommaire du match
46 - 2023-11-24307Comets1Seattle0AWXXSommaire du match
47 - 2023-11-25313Comets3Sags2AWSommaire du match
50 - 2023-11-28336Admirals1Comets4BWSommaire du match
52 - 2023-11-30353Las Vegas3Comets0BLSommaire du match
54 - 2023-12-02368Comets4Heat2AWSommaire du match
57 - 2023-12-05387Spiders1Comets2BWXSommaire du match
59 - 2023-12-07404Minnesota0Comets4BWSommaire du match
61 - 2023-12-09419Caroline3Comets4BWXXSommaire du match
64 - 2023-12-12438Thunder2Comets4BWSommaire du match
66 - 2023-12-14454Cabaret Lady Mary Ann1Comets3BWSommaire du match
68 - 2023-12-16461Comets0Minnesota2ALSommaire du match
69 - 2023-12-17474Comets2Baby Hawks5ALSommaire du match
71 - 2023-12-19491Comets3Chill0AWSommaire du match
73 - 2023-12-21505Comets0Stars2ALSommaire du match
75 - 2023-12-23527Sags0Comets2BWSommaire du match
80 - 2023-12-28543Phantoms1Comets2BWSommaire du match
85 - 2024-01-02584Senators2Comets1BLXXSommaire du match
87 - 2024-01-04596Comets1Chiefs2ALSommaire du match
89 - 2024-01-06612Comets2Spiders5ALSommaire du match
91 - 2024-01-08621Comets0Wolf Pack1ALSommaire du match
92 - 2024-01-09628Comets1Sound Tigers0AWXSommaire du match
94 - 2024-01-11643Comets1Manchots3ALSommaire du match
96 - 2024-01-13654Comets2Crunch1AWSommaire du match
98 - 2024-01-15673Comets2Monsters1AWSommaire du match
101 - 2024-01-18700Jayhawks2Comets5BWSommaire du match
103 - 2024-01-20710Marlies1Comets3BWSommaire du match
105 - 2024-01-22728Baby Hawks3Comets1BLSommaire du match
107 - 2024-01-24744Chiefs1Comets3BWSommaire du match
110 - 2024-01-27771Monsters1Comets2BWSommaire du match
120 - 2024-02-06785Comets2Caroline3ALSommaire du match
122 - 2024-02-08794Comets0Bruins1ALSommaire du match
124 - 2024-02-10805Comets3Cougars2AWSommaire du match
125 - 2024-02-11818Comets3Bears1AWSommaire du match
127 - 2024-02-13832Comets1Baby Hawks2ALXXSommaire du match
129 - 2024-02-15848Cougars2Comets3BWXXSommaire du match
131 - 2024-02-17860Oceanics1Comets2BWSommaire du match
133 - 2024-02-19869Comets3Minnesota2AWSommaire du match
134 - 2024-02-20881Comets1Monsters2ALSommaire du match
136 - 2024-02-22897Comets1Seattle4ALSommaire du match
138 - 2024-02-24907Bruins0Comets3BWSommaire du match
141 - 2024-02-27937Manchots2Comets3BWSommaire du match
143 - 2024-02-29951Monarchs2Comets3BWXXSommaire du match
146 - 2024-03-03973Comets1Admirals2ALSommaire du match
148 - 2024-03-05988Comets2Monarchs1AWSommaire du match
150 - 2024-03-071002Comets0Las Vegas3ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2024-03-091019Oceanics0Comets2BWSommaire du match
156 - 2024-03-131044Monsters3Comets1BLSommaire du match
159 - 2024-03-161071Bears1Comets3BWSommaire du match
162 - 2024-03-191093Crunch1Comets3BWSommaire du match
164 - 2024-03-211106Rocket3Comets4BWXXSommaire du match
166 - 2024-03-231120Heat4Comets1BLSommaire du match
168 - 2024-03-251135Monarchs3Comets1BLSommaire du match
171 - 2024-03-281163Stars1Comets3BWSommaire du match
174 - 2024-03-311180Admirals4Comets3BLXSommaire du match
176 - 2024-04-021196Comets3Las Vegas1AWSommaire du match
177 - 2024-04-031200Comets6Jayhawks1AWSommaire du match
180 - 2024-04-061226Comets3Monarchs0AWSommaire du match
182 - 2024-04-081238Las Vegas0Comets2BWSommaire du match
184 - 2024-04-101254Jayhawks2Comets6BWSommaire du match
187 - 2024-04-131280Comets4Oil Kings1AWSommaire du match
190 - 2024-04-161302Heat1Comets3BWSommaire du match
192 - 2024-04-181308Comets1Oceanics2ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance50,84727,786
Assistance PCT62.01%67.77%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1918 - 63.93% 90,675$3,717,684$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,436,133$ 1,325,418$ 1,325,418$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
6,903$ 1,436,133$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 6,903$ 0$




Comets Leaders statistiques des joueurs (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 des joueurs (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