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Comets
GP: 18 | W: 11 | L: 7
GF: 66 | GA: 50 | PP%: 22.64% | PK%: 87.50%
DG: Samuel Gendron-Mallet | Morale : 50 | Moyenne d’équipe : 55
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Centre de jeu
Monsters
13-12-0, 26pts
4
FINAL
6 Comets
11-7-0, 22pts
Team Stats
L3StreakOTL1
6-6-0Home Record6-2-0
7-6-0Away Record5-5-0
3-6-1Last 10 Games6-3-1
3.24Buts par match 3.67
3.20Buts contre par match 2.78
19.70%Pourcentage en avantage numérique22.64%
84.00%Pourcentage en désavantage numérique87.50%
Comets
11-7-0, 22pts
2
FINAL
3 Monsters
13-12-0, 26pts
Team Stats
OTL1StreakL3
6-2-0Home Record6-6-0
5-5-0Away Record7-6-0
6-3-1Last 10 Games3-6-1
3.67Buts par match 3.24
2.78Buts contre par match 3.20
22.64%Pourcentage en avantage numérique19.70%
87.50%Pourcentage en désavantage numérique84.00%
Meneurs d'équipe
Buts
Sheldon Rempal
10
Passes
Brett Ritchie
16
Points
Sheldon Rempal
20
Plus/Moins
Brett Ritchie
10
Victoires
Troy Grosenick
11
Pourcentage d’arrêts
Troy Grosenick
0.93

Statistiques d’équipe
Buts pour
66
3.67 GFG
Tirs pour
666
37.00 Avg
Pourcentage en avantage numérique
22.6%
12 GF
Début de zone offensive
37.4%
Buts contre
50
2.78 GAA
Tirs contre
686
38.11 Avg
Pourcentage en désavantage numérique
87.5%%
7 GA
Début de la zone défensive
43.7%
Informations de l'équipe

Directeur généralSamuel Gendron-Mallet
DivisionNord
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,501
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 50
Espoirs11


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
1Brad MaloneXX100.00934791687951696056616474256565050630322600,000$
2Greg McKeggXXX100.00774495717058565855575777256565050610291900,000$
3Sheldon RempalXX100.00656076626068687150667262684545050610261700,000$
4Joe SnivelyX100.00594094676459545925707565254545050600253900,000$
5Brett RitchieX100.00845980778355636031525858256767050600282850,000$
6Aleksi HeponiemiXX100.00655785725763646250635659534545050580222925,001$
7Givani SmithXX100.00849942718151695644575961255555050580232750,000$
8Filip Hallander (R)XX100.00777288697258595771515964564444050570213764,167$
9Semyon Der-Arguchintsev (R)X100.00696089686054526278596161584444050570213766,667$
10Aidan Dudas (R)X100.00675791655763665569505658534444050550213786,667$
11Andre Lee (R)XX100.00787975667937354961484462424444050520212900,000$
12Ivan Lodnia (R)X100.00756794616746464950454861464444050510222747,500$
13Timothy LiljegrenX100.00794492787070676325644976255353050650221863,333$
14Kyle CapobiancoX100.007543767372696165255248702552520506202441,100,000$
15Max GildonX100.00787391707350514725384162394444050550222700,000$
16Markus PhillipsX100.00767383667355584525363960374444050550222796,667$
17Case McCarthy (R)X100.00494599637150663725353345355454050500204650,000$
18Stanislav Demin (R)X100.00545370617143573325293049335050050480213700,000$
Rayé
1Maksim SushkoX100.00757185657154555350455662534444050540222775,002$
2Mathias Laferriere (R)XX100.00776996696951524860454662444444050530212700,000$
3Bulat Shafigullin (R)X100.00474278666162884049314043445454050480213700,000$
4Malte StromwallXX100.00374545455434343745363645413230050390271900,000$
MOYENNE D’ÉQUIPE100.0070598367695559534550516140494905056
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
1Troy Grosenick100.00654253707067727475743044440506403221,100,000$
2Lukas Dostal (R)100.0059526567636255636261304444050580213822,500$
Rayé
1Matthew Villalta (R)100.0050405070535050555252304444050510221778,333$
2Matej Tomek (R)100.0036434066353435333333323228050380241650,000$
MOYENNE D’ÉQUIPE100.005344526855535356565531414005053
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
1Sheldon RempalComets (Van)LW/RW1810102065593280165312.50%237120.6322416450000361144.26%6100011.0800001211
2Brett RitchieComets (Van)RW18216181012042245820373.45%433118.4002210390002152055.17%2900001.0900000011
3Kyle CapobiancoComets (Van)D1841317612038253981610.26%2144524.741671742000045000.00%000000.7600000001
4Brad MaloneComets (Van)C/LW17511165100486550186210.00%836721.641233360000450151.43%55800000.8700000011
5Greg McKeggComets (Van)C/LW/RW144121626010226415356.25%630121.5313415320002391052.38%2100001.0600000101
6Joe SnivelyComets (Van)LW18861450063455214514.55%534118.9931412370002181014.29%2100000.8200000100
7Aleksi HeponiemiComets (Van)LW/RW1838113601130358388.57%227415.250000130000131032.14%2800200.8000000012
8Filip HallanderComets (Van)C/LW18741171410205246164415.22%330817.12022535000031155.28%39800000.7100002011
9Semyon Der-ArguchintsevComets (Van)C1856111757375092110.00%325514.2000026000083057.89%32300000.8600100100
10Timothy LiljegrenComets (Van)D134610480192127111914.81%2332725.221231237000029000.00%000000.6100000012
11Givani SmithComets (Van)LW/RW1854926046254783310.64%623913.3120244000010056.52%2300000.7500000112
12Max GildonComets (Van)D183693231539131691118.75%2137620.91101334000141100.00%000000.4800111110
13Maksim SushkoComets (Van)RW16336-300972341913.04%21489.2800000000010018.75%1600000.8100000000
14Markus PhillipsComets (Van)D180665255438148130.00%2137120.61011336000036000.00%000000.3200100000
15Aidan DudasComets (Van)C18145-3401130289143.57%720811.6101101000090060.24%16600000.4800000000
16Andre LeeComets (Van)C/LW18123-3140144195135.26%01347.4900000000000050.00%2400000.4500000000
17Case McCarthyComets (Van)D1812392012130233.33%2031617.58000010000015000.00%000000.1900000000
18Ivan LodniaComets (Van)RW4011-100117210.00%0348.52011100000000100.00%200000.5900000000
19Stanislav DeminComets (Van)D180110604434140.00%1130617.0100006000018000.00%000000.0700000000
20Bulat ShafigullinComets (Van)C8000-500131000.00%1313.9600004000010054.84%3100000.00%00000000
Statistiques d’équipe totales ou en moyenne3246612118753160404304376661884809.91%166549216.95122335103426000738111353.32%170100210.68003147812
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
1Troy GrosenickComets (Van)1811610.9302.58111801486840020.00%0180411
Statistiques d’équipe totales ou en moyenne1811610.9302.58111801486840020180411


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 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 10Link
Aidan DudasComets (Van)C212000-06-15Yes162 Lbs5 ft8NoNoNo3Pro & Farm786,667$0$0$No786,667$786,667$Lien
Aleksi HeponiemiComets (Van)LW/RW221999-01-08No155 Lbs5 ft10NoNoNo2Pro & Farm925,001$0$0$No925,001$Lien
Andre LeeComets (Van)C/LW212000-07-26Yes205 Lbs6 ft5YesNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Brad Malone (contrat à 1 volet)Comets (Van)C/LW321989-05-19No217 Lbs6 ft2YesNoYes2Pro & Farm600,000$0$0$No600,000$Lien
Brett Ritchie (contrat à 1 volet)Comets (Van)RW281993-06-30No220 Lbs6 ft4NoNoYes2Pro & Farm850,000$0$0$No850,000$Lien
Bulat ShafigullinComets (Van)C211999-12-29Yes161 Lbs6 ft1NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Lien
Case McCarthyComets (Van)D202001-01-09Yes198 Lbs6 ft1NoNoNo4Pro & Farm650,000$0$0$No650,000$650,000$650,000$Lien
Filip HallanderComets (Van)C/LW212000-06-29Yes196 Lbs6 ft1NoNoNo3Pro & Farm764,167$0$0$No764,167$764,167$Lien
Givani SmithComets (Van)LW/RW231998-02-27No210 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Greg McKegg (contrat à 1 volet)Comets (Van)C/LW/RW291992-06-17No192 Lbs6 ft0YesNoYes1Pro & Farm900,000$0$0$NoLien
Ivan LodniaComets (Van)RW221999-08-31Yes187 Lbs5 ft11NoNoNo2Pro & Farm747,500$0$0$No747,500$Lien
Joe SnivelyComets (Van)LW251996-01-01No181 Lbs5 ft9YesNoYes3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Kyle CapobiancoComets (Van)D241997-08-13No196 Lbs6 ft1NoNoYes4Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$1,100,000$Lien
Lukas DostalComets (Van)G212000-06-22Yes174 Lbs6 ft2NoNoNo3Pro & Farm822,500$0$0$No822,500$822,500$Lien
Maksim SushkoComets (Van)RW221999-02-10No198 Lbs6 ft0NoNoNo2Pro & Farm775,002$0$0$No775,002$Lien
Malte Stromwall (contrat à 1 volet)Comets (Van)LW/RW271994-08-24No180 Lbs5 ft10YesNoYes1Pro & Farm900,000$0$0$NoLien
Markus PhillipsComets (Van)D221999-03-21No202 Lbs6 ft0NoNoNo2Pro & Farm796,667$0$0$No796,667$Lien
Matej TomekComets (Van)G241997-05-24Yes180 Lbs6 ft3YesNoYes1Pro & Farm650,000$0$0$NoLien
Mathias LaferriereComets (Van)C/RW212000-06-27Yes181 Lbs6 ft2YesNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Matthew VillaltaComets (Van)G221999-06-03Yes165 Lbs6 ft4NoNoNo1Pro & Farm778,333$0$0$NoLien
Max GildonComets (Van)D221999-05-17No194 Lbs6 ft3NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Semyon Der-ArguchintsevComets (Van)C212000-09-15Yes165 Lbs5 ft10NoNoNo3Pro & Farm766,667$0$0$No766,667$766,667$Lien
Sheldon Rempal (contrat à 1 volet)Comets (Van)LW/RW261995-08-07No165 Lbs5 ft10NoNoYes1Pro & Farm700,000$0$0$NoLien
Stanislav DeminComets (Van)D212000-04-04Yes190 Lbs6 ft2NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Lien
Timothy LiljegrenComets (Van)D221999-04-30No192 Lbs6 ft0NoNoNo1Pro & Farm863,333$0$0$NoLien
Troy Grosenick (contrat à 1 volet)Comets (Van)G321989-08-27No185 Lbs6 ft1YesNoYes2Pro & Farm1,100,000$200,000$0$No1,100,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2623.54187 Lbs6 ft12.19800,994$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sheldon RempalBrad MaloneGreg McKegg40122
2Joe SnivelySemyon Der-ArguchintsevBrett Ritchie30122
3Aleksi HeponiemiFilip HallanderGivani Smith20122
4Andre LeeAidan DudasIvan Lodnia10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenKyle Capobianco40122
2Max GildonMarkus Phillips30122
3Case McCarthyStanislav Demin20122
4Timothy LiljegrenKyle Capobianco10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sheldon RempalBrad MaloneGreg McKegg60122
2Joe SnivelySemyon Der-ArguchintsevBrett Ritchie40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenKyle Capobianco60122
2Max GildonMarkus Phillips40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brad MaloneSheldon Rempal60122
2Greg McKeggBrett Ritchie40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenKyle Capobianco60122
2Max GildonMarkus Phillips40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brad Malone60122Timothy LiljegrenKyle Capobianco60122
2Sheldon Rempal40122Max GildonMarkus Phillips40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brad MaloneSheldon Rempal60122
2Greg McKeggBrett Ritchie40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenKyle Capobianco60122
2Max GildonMarkus Phillips40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sheldon RempalBrad MaloneGreg McKeggTimothy LiljegrenKyle Capobianco
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sheldon RempalBrad MaloneGreg McKeggTimothy LiljegrenKyle Capobianco
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Aleksi Heponiemi, Givani Smith, Filip HallanderAleksi Heponiemi, Givani SmithFilip Hallander
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Case McCarthy, Stanislav Demin, Max GildonCase McCarthyStanislav Demin, Max Gildon
Tirs de pénalité
Brad Malone, Sheldon Rempal, Greg McKegg, Brett Ritchie, Joe Snively
Gardien
#1 : Troy Grosenick, #2 : Lukas Dostal


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
1Monsters7340000021210321000001411341300000710-360.42921385910261822025220620323423269694817422313.64%18477.78%034363753.85%40374454.17%16132050.31%411276464140243116
2Seattle440000001899220000009362200000096381.00018325001261822016220620323423149312910917529.41%120100.00%034363753.85%40374454.17%16132050.31%411276464140243116
3Stars7430000027207321000001275422000001513280.57127517810261822025220620323423268668314714428.57%26388.46%034363753.85%40374454.17%16132050.31%411276464140243116
Total18117000006650168620000035211410550000031292220.6116612118721261822066620620323423686166160430531222.64%56787.50%034363753.85%40374454.17%16132050.31%411276464140243116
_Since Last GM Reset18117000006650168620000035211410550000031292220.6116612118721261822066620620323423686166160430531222.64%56787.50%034363753.85%40374454.17%16132050.31%411276464140243116
_Vs Conference18117000006650168620000035211410550000031292220.6116612118721261822066620620323423686166160430531222.64%56787.50%034363753.85%40374454.17%16132050.31%411276464140243116
_Vs Division147700000484176420000026188835000002223-1140.50048891372026182205042062032342353713513132136719.44%44784.09%034363753.85%40374454.17%16132050.31%411276464140243116

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1822OTL16612118766668616616043021
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1811700006650
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
86200003521
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
105500003129
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
531222.64%56787.50%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
206203234232618220
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
34363753.85%40374454.17%16132050.31%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
411276464140243116


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 - 2023-04-186Comets3Stars5ALSommaire du match
4 - 2023-04-2014Comets4Stars2AWSommaire du match
6 - 2023-04-2222Stars3Comets5BWSommaire du match
8 - 2023-04-2430Stars3Comets1BLSommaire du match
10 - 2023-04-2638Comets3Stars5ALSommaire du match
12 - 2023-04-2846Stars1Comets6BWSommaire du match
14 - 2023-04-3054Comets5Stars1AWSommaire du match
16 - 2023-05-0259Comets6Seattle4AWSommaire du match
18 - 2023-05-0463Comets3Seattle2AWSommaire du match
20 - 2023-05-0667Seattle0Comets4BWSommaire du match
22 - 2023-05-0871Seattle3Comets5BWSommaire du match
30 - 2023-05-1686Comets1Monsters3ALSommaire du match
32 - 2023-05-1888Comets0Monsters2ALSommaire du match
34 - 2023-05-2090Monsters4Comets2BLSommaire du match
36 - 2023-05-2292Monsters3Comets6BWSommaire du match
38 - 2023-05-2494Comets4Monsters2AWSommaire du match
40 - 2023-05-2696Monsters4Comets6BWSommaire du match
42 - 2023-05-2898Comets2Monsters3ALXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance13,1056,905
Assistance PCT81.91%86.31%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 2501 - 83.38% 99,169$793,350$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,577,584$ 1,577,584$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Comets Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Comets Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Comets Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Comets Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Comets Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA