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Comets

GP: 54 | W: 2 | L: 52 | OTL: 0 | P: 4
GF: 107 | GA: 528 | PP%: 4.00% | PK%: 61.29%
DG: Sacha Verville | Morale : 50 | Moyenne d'Équipe : 61
Prochain matchs #805 vs Marlies
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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
1Barrett HaytonXX100.006041836675726864716558606360620506201922,644,167$
2Matthew FordX100.00655185577986835854575659558674050620351650,000$
3Anton BlidhX100.00674778617583765953566062596965013610242700,000$
4Sebastian RepoX100.00714985578679805852545659586764050610231740,000$
5Kole LindX100.005751856073868258545956615863620506002021,125,000$
6Vitali KravtsovX100.006442856081787758525555575961630506001931,775,000$
7Ryan WhiteX100.00716859587477725660515554588069050590311650,000$
8Scott SabourinX100.00716582568563665451535358567568050590271700,000$
9Stelio MattheosX100.00624288597673695861535657596162050590203925,000$
10Jan DrozgX100.00584389577577745650525554586163050580203925,000$
11Kurtis MacDermidX100.00796175639678736230645868507166050640251675,000$
12Jake BeanX100.006043886475817863306258595463620506202121,363,333$
13Daniel BrickleyX100.00644386598479725830575660536965050610242700,000$
14Michael KaplaX100.00614289607479815930585356457166050600251650,000$
Rayé
MOYENNE D'ÉQUIPE100.0065498360797875594857565956686504761
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 SP
1Jake Oettinger100.0077716993767577767577766367050660
Rayé
MOYENNE D'ÉQUIPE100.007771699376757776757776636705066
Nom du Coach 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
1Scott SabourinComets (VAN)RW54361248-792201701132296917715.72%19089616.6000001000000040.63%6400011.0700000001
Stats d'équipe Total ou en Moyenne54361248-792201701132296917715.72%19089616.6000001000000040.63%6400011.0700000001
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Anton BlidhComets (VAN)LW241995-03-14No201 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Barrett HaytonComets (VAN)C/LW192000-06-09No190 Lbs6 ft1NoNoNo2Pro & Farm2,644,167$0$0$No2,644,167$Lien
Daniel BrickleyComets (VAN)D241995-03-30No203 Lbs6 ft3NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Jake BeanComets (VAN)D211998-06-09No186 Lbs6 ft1NoNoNo2Pro & Farm1,363,333$0$0$No1,363,333$Lien / Lien NHL
Jake OettingerComets (VAN)G201998-12-18No220 Lbs6 ft5NoNoNo3Pro & Farm1,387,500$0$0$No1,387,500$1,387,500$Lien / Lien NHL
Jan DrozgComets (VAN)RW201999-04-01No174 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Kole LindComets (VAN)RW201998-10-16No178 Lbs6 ft1NoNoNo2Pro & Farm1,125,000$0$0$No1,125,000$Lien / Lien NHL
Kurtis MacDermidComets (VAN)D251994-03-25No233 Lbs6 ft5NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Matthew FordComets (VAN)RW351984-10-09No207 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Michael KaplaComets (VAN)D251994-09-19No200 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Ryan WhiteComets (VAN)C311988-03-17No200 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Scott SabourinComets (VAN)RW271992-07-30No208 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Sebastian RepoComets (VAN)RW231996-06-23No211 Lbs6 ft3NoNoNo1Pro & Farm740,000$0$0$NoLien / Lien NHL
Stelio MattheosComets (VAN)C201999-06-14No196 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien / Lien NHL
Vitali KravtsovComets (VAN)LW191999-12-23No189 Lbs6 ft3NoNoNo3Pro & Farm1,775,000$0$0$No1,775,000$1,775,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1523.53200 Lbs6 ft21.871,040,667$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
130122
2Scott Sabourin30122
325122
415122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
130122
230122
325122
415122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Scott Sabourin40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Scott Sabourin, , Scott Sabourin,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , , Scott Sabourin
Gardien
#1 : , #2 :


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# 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
1Admirals10100000311-810100000311-80000000000000.0003690046283211745147546748420418200.00%220.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
2Americans10100000210-810100000210-80000000000000.0002460046283212945147546749018627000.00%2150.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
3Barracuda20200000218-161010000017-610100000111-1000.000246004628321434514754674171388425120.00%4175.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
4Bears1010000009-9000000000001010000009-900.0000000046283213745147546749229228000.00%10100.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
5Bruins1010000009-9000000000001010000009-900.0000000046283212445147546747222418200.00%2150.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
6Condors10000010651100000106510000000000021.000610160046283216445147546748623238100.00%10100.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
7Crunch10100000313-100000000000010100000313-1000.0003690046283212145147546749431222400.00%110.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
8Devils30300000736-2920200000426-2210100000310-700.0007132000462832179451475467426664689000.00%3233.33%0288126222.82%493256719.21%220108420.30%5863702094369564199
9Eagles20200000215-131010000008-81010000027-500.00024600462832136451475467417260244100.00%10100.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
10Griffins20200000620-141010000039-610100000311-800.00061218004628321504514754674192454493133.33%20100.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
11Gulls20200000422-180000000000020200000422-1800.000471100462832152451475467417659256300.00%10100.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
12Heat404000001038-2820200000818-1020200000220-1800.00010192900462832110945147546743791082112300.00%10100.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
13IceHogs40400000844-3630300000533-2810100000311-800.000813210046283218145147546743371141091600.00%5260.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
14Moose21100000915-61100000085310100000110-920.5009172600462832191451475467415343451400.00%20100.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
15Penguins202000001423-910100000613-710100000810-200.0001427410046283211134514754674174546503133.33%330.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
16Phantoms40400000546-4110100000311-830300000235-3300.000591400462832189451475467442811112105800.00%5260.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
17Rampage10100000212-100000000000010100000212-1000.0002460046283212145147546749130025300.00%000.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
18Reign30300000424-201010000029-720200000215-1300.0004812004628321524514754674230691040400.00%4175.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
19Roadrunners20200000117-161010000009-91010000018-700.00012300462832147451475467415733029500.00%000.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
20Senators20200000318-151010000028-610100000110-900.00036900462832144451475467417359229200.00%2150.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
21Sound Tigers10100000010-100000000000010100000010-1000.0000000046283211145147546749030423300.00%20100.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
22Stars1010000008-8000000000001010000008-800.0000000046283211745147546749924218200.00%10100.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
23Thunderbirds30300000524-1920200000414-1010100000110-900.0005813004628321864514754674231521475000.00%7271.43%0288126222.82%493256719.21%220108420.30%5863702094369564199
Total5415200010107528-421251230001060235-175290290000047293-24640.037107200307004628321139545147546744633132112812237534.00%622461.29%0288126222.82%493256719.21%220108420.30%5863702094369564199
24Wild30300000432-2810100000010-1020200000422-1800.0004711004628321774514754674245831058500.00%6350.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
25Wolf Pack20200000122-211010000009-910100000113-1200.00012300462832144451475467412640833100.00%3166.67%0288126222.82%493256719.21%220108420.30%5863702094369564199
26Wolves30300000627-2120200000320-171010000037-400.0006121800462832161451475467422562253500.00%110.00%0288126222.82%493256719.21%220108420.30%5863702094369564199
_Since Last GM Reset5415200010107528-421251230001060235-175290290000047293-24640.037107200307004628321139545147546744633132112812237534.00%622461.29%0288126222.82%493256719.21%220108420.30%5863702094369564199
_Vs Conference210210000040220-180909000002191-70120120000019129-11000.000407511500462832157745147546741836510664992314.35%311454.84%0288126222.82%493256719.21%220108420.30%5863702094369564199
_Vs Division1007000001994-75504000001141-3050300000853-4500.0001936550046283212544514754674852227322201119.09%16662.50%0288126222.82%493256719.21%220108420.30%5863702094369564199

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
544L17107200307139546331321128122300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
541520010107528
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
25123001060235
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
29029000047293
Derniers 10 Matchs
WLOTWOTL SOWSOL
0100000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
7534.00%622461.29%0
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
45147546744628321
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
288126222.82%493256719.21%220108420.30%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
5863702094369564199


Derniers Match 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 - 2020-10-0613Comets2Wild12LSommaire du Match
4 - 2020-10-0824Thunderbirds8Comets3LSommaire du Match
5 - 2020-10-0936Comets1Roadrunners8LSommaire du Match
8 - 2020-10-1254IceHogs11Comets2LSommaire du Match
9 - 2020-10-1364Comets1Phantoms15LSommaire du Match
12 - 2020-10-1679Moose5Comets8WSommaire du Match
14 - 2020-10-1899Wolves9Comets1LSommaire du Match
16 - 2020-10-20116Comets0Stars8LSommaire du Match
17 - 2020-10-21124Comets1Phantoms8LSommaire du Match
20 - 2020-10-24145Heat11Comets4LSommaire du Match
22 - 2020-10-26155Comets1Reign4LSommaire du Match
24 - 2020-10-28172Devils12Comets3LSommaire du Match
26 - 2020-10-30184Comets4Gulls11LSommaire du Match
29 - 2020-11-02205Barracuda7Comets1LSommaire du Match
31 - 2020-11-04217Comets3Griffins11LSommaire du Match
33 - 2020-11-06236Admirals11Comets3LSommaire du Match
35 - 2020-11-08253Comets0Heat9LSommaire du Match
37 - 2020-11-10265Devils14Comets1LSommaire du Match
39 - 2020-11-12281Comets0Sound Tigers10LSommaire du Match
41 - 2020-11-14292Comets3IceHogs11LSommaire du Match
42 - 2020-11-15307Eagles8Comets0LSommaire du Match
45 - 2020-11-18322Comets1Reign11LSommaire du Match
47 - 2020-11-20336Reign9Comets2LSommaire du Match
49 - 2020-11-22356Wolf Pack9Comets0LSommaire du Match
51 - 2020-11-24372Comets0Bruins9LSommaire du Match
53 - 2020-11-26384Comets3Wolves7LSommaire du Match
55 - 2020-11-28399Thunderbirds6Comets1LSommaire du Match
57 - 2020-11-30417Griffins9Comets3LSommaire du Match
59 - 2020-12-02436Comets2Eagles7LSommaire du Match
61 - 2020-12-04449Wolves11Comets2LSommaire du Match
64 - 2020-12-07467Comets1Thunderbirds10LSommaire du Match
66 - 2020-12-09478Comets1Moose10LSommaire du Match
67 - 2020-12-10490Wild10Comets0LSommaire du Match
70 - 2020-12-13511Senators8Comets2LSommaire du Match
71 - 2020-12-14521Comets8Penguins10LSommaire du Match
74 - 2020-12-17538Comets2Rampage12LSommaire du Match
76 - 2020-12-19552Condors5Comets6WXXSommaire du Match
78 - 2020-12-21569Comets0Gulls11LSommaire du Match
80 - 2020-12-23580Penguins13Comets6LSommaire du Match
82 - 2020-12-25595Comets0Phantoms12LSommaire du Match
84 - 2020-12-27612IceHogs12Comets1LSommaire du Match
86 - 2020-12-29627Comets3Devils10LSommaire du Match
88 - 2020-12-31641Comets3Crunch13LSommaire du Match
89 - 2021-01-01649Roadrunners9Comets0LSommaire du Match
92 - 2021-01-04672Comets1Barracuda11LSommaire du Match
93 - 2021-01-05681IceHogs10Comets2LSommaire du Match
96 - 2021-01-08700Comets1Senators10LSommaire du Match
98 - 2021-01-10710Phantoms11Comets3LSommaire du Match
100 - 2021-01-12723Comets0Bears9LSommaire du Match
102 - 2021-01-14739Comets1Wolf Pack13LSommaire du Match
103 - 2021-01-15747Americans10Comets2LSommaire du Match
106 - 2021-01-18769Heat7Comets4LSommaire du Match
108 - 2021-01-20780Comets2Heat11LSommaire du Match
110 - 2021-01-22794Comets2Wild10LSommaire du Match
111 - 2021-01-23805Marlies-Comets-
114 - 2021-01-26826Comets-Marlies-
116 - 2021-01-28836Bruins-Comets-
118 - 2021-01-30850Comets-Stars-
120 - 2021-02-01867Eagles-Comets-
124 - 2021-02-05891Comets-Americans-
125 - 2021-02-06898Barracuda-Comets-
129 - 2021-02-10925Rampage-Comets-
133 - 2021-02-14951Sound Tigers-Comets-
136 - 2021-02-17976Gulls-Comets-
138 - 2021-02-19990Comets-Rocket-
140 - 2021-02-211007Checkers-Comets-
142 - 2021-02-231023Comets-Condors-
145 - 2021-02-261043Admirals-Comets-
147 - 2021-02-281057Comets-Admirals-
149 - 2021-03-021072Monsters-Comets-
150 - 2021-03-031082Comets-Griffins-
153 - 2021-03-061101Rampage-Comets-
155 - 2021-03-081113Comets-Checkers-
157 - 2021-03-101128Comets-Roadrunners-
158 - 2021-03-111140Stars-Comets-
161 - 2021-03-141159Comets-Roadrunners-
162 - 2021-03-151171Comets-Monsters-
164 - 2021-03-171180Moose-Comets-
169 - 2021-03-221206Rocket-Comets-
172 - 2021-03-251225Bears-Comets-
175 - 2021-03-281242Comets-Condors-
180 - 2021-04-021264Crunch-Comets-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
16 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
928,833$ 1,561,000$ 621,583$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 928,833$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 72 8,577$ 617,544$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison Régulière
282362902294247219284116170114211811264120120115212910722722474156622495736818225277173971375272182970014783517019.94%2925381.85%21080236045.76%1321315041.94%536127841.94%1838124520966371056513
382313702192197219-224115160207110492124116210012193127-34621973335301568595920226275675472975301990156214213156620.95%2303186.52%11046240843.44%1168313637.24%464117539.49%1824124921286141031498
4821453030210170284-114418270101483133-50416260201687151-6428170279449126259441123726758268408235211091999176851710921.08%4258979.06%1843262432.13%1116368730.27%390116033.62%15219912509647957422
582136200115200465-2654172900104109238-129416330001191227-136262003415412081625632645878908836424327124429016321613119.25%1114460.36%01103236646.62%1279315140.59%663146445.29%14119842605572936395
682136401103257506-2494173200002139251-1124163201101118255-1372625741967650109895823314112310851090275164150027320601573421.66%1213174.38%01229280543.81%1388351839.45%650153142.46%148010472536564922397
782116601112247582-3354173200011127277-1504143401101120305-1852224740465100111765833100103710381010285133147329821821653018.18%1285259.38%0855258733.05%851308627.58%418155326.92%143310072586564919384
882117000001227645-4184173400000112305-1934143600001115340-22522227414641109374600291997996197396039177824719241161714.66%1133866.37%1680221130.76%953340527.99%420157826.62%11547832890554879340
882117000001227645-4184173400000112305-1934143600001115340-22522227414641109374600291997996197396039177824719241161714.66%1133866.37%1680221130.76%953340527.99%420157826.62%11547832890554879340
95415200010107528-421251230001060235-175290290000047293-2464107200307004628321139545147546744633132112812237534.00%622461.29%0288126222.82%493256719.21%220108420.30%5863702094369564199
Total Saison Régulière710141503096232818794093-22143537524404214149641948-984357662590549149152145-1230284187932195098131175859449558231787649774776313514059611915374415612197337719.11%159540074.92%678042083437.46%95222910532.72%41811240133.72%12406846122339507981483492
Séries
21275000002426-252300000914-575200000151231424456901498334710110911522415115137215481122.92%47882.98%016338742.12%18450336.58%7717244.77%26217133410016073
Total Séries1275000002426-252300000914-575200000151231424456901498334710110911522415115137215481122.92%47882.98%016338742.12%18450336.58%7717244.77%26217133410016073