Please rotate your device to landscape mode for a better experience.
Connexion

Comets
GP: 7 | W: 3 | L: 4
GF: 26 | GA: 24 | PP%: 15.38% | PK%: 72.22%
DG: Alex Gagnon | Morale : 50 | Moyenne d’équipe : 58

Centre de jeu
Comets
3-4-0, 6pts
1
FINAL
2 Heat
5-7-0, 10pts
Team Stats
OTL1SéquenceOTL1
2-2-0Fiche domicile3-2-0
1-2-0Fiche domicile2-5-0
3-1-3Derniers 10 matchs4-4-2
3.71Buts par match 3.58
3.43Buts contre par match 3.92
15.38%Pourcentage en avantage numérique32.43%
72.22%Pourcentage en désavantage numérique66.67%
Heat
5-7-0, 10pts
4
FINAL
3 Comets
3-4-0, 6pts
Team Stats
OTL1SéquenceOTL1
3-2-0Fiche domicile2-2-0
2-5-0Fiche domicile1-2-0
4-4-2Derniers 10 matchs3-1-3
3.58Buts par match 3.71
3.92Buts contre par match 3.43
32.43%Pourcentage en avantage numérique15.38%
66.67%Pourcentage en désavantage numérique72.22%
Meneurs d'équipe
Buts
Aleksi Heponiemi
5
Passes
Tye Kartye
9
Points
Tye Kartye
12
Plus/Moins
Aleksi Heponiemi
7
Victoires
Hunter Shepard
2
Pourcentage d’arrêts
Matthew Villalta
0.903

Statistiques d’équipe
Buts pour
26
3.71 GFG
Tirs pour
204
29.14 Avg
Pourcentage en avantage numérique
15.4%
2 GF
Début de zone offensive
39.8%
Buts contre
24
3.43 GAA
Tirs contre
176
25.14 Avg
Pourcentage en désavantage numérique
72.2%%
5 GA
Début de la zone défensive
31.7%
Informations de l'équipe

Directeur généralAlex Gagnon
DivisionNord
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,230
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 50
Espoirs29


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
1Tye Kartye (R)XX100.00805270757675717249676870715350050680222859,167$
2Kyle MacLeanXX100.0069477271737465666363616366525005064N0242726,000$
3Joshua Roy (R)XX100.00624076707576636740636364665150050640203835,000$
4Joe SnivelyX100.00554370715668666445655663645750050610271900,000$
5Mathias Laferriere (R)X100.00594372666265636042605355605250050580233720,000$
6Matthew Seminoff (R)X100.00624170636261596041585559595050050580193850,000$
7Aleksi HeponiemiXX100.00514371705259595958605158615251050570242750,000$
8Filip Hallander (R)X100.00584569686458575941565258605150050570231764,167$
9Andre Lee (R)XX100.00654368626962605841515357585150050570233700,000$
10Semyon Der-Arguchintsev (R)X100.00514369705557565958585254615050050570231766,667$
11Navrin Mutter (R)X100.00635160606862605640525254565150050560223725,000$
12Kyle CapobiancoX100.006643687272746968406463686862560506602621,100,000$
13Marcus Bjork (R)X100.0064446667747365654063606864535005064N0251678,000$
14Ethan Del Mastro (R)X100.00664363656662616340635867625050050620203855,833$
15Helge Grans (R)X100.00654372656863616140545364595050050600212847,500$
16Michael Callahan (R)X100.00594369656566646040565459605250050590241620,000$
17Max GildonX100.00574562656558575639514862575250050580242620,000$
Rayé
1Aidan Dudas (R)X100.00504367705360595941555252605150050560231786,667$
2Mason Primeau (R)X100.00654769587361595645515152555050050550223620,000$
3Ivan Lodnia (R)X100.00504752555550484939464751505050050500243650,000$
4Bulat Shafigullin (R)X100.00414274646152753647273441405454050460231700,000$
5Markus PhillipsX100.00677379647347493925303358354444050520242620,000$
6Case McCarthy (R)X100.00434595617142563325292843335454050470222650,000$
7Stanislav Demin (R)X100.00485368597137482925252647315050050460231700,000$
MOYENNE D’ÉQUIPE100.0059467066666160564253515857525005057
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
1Hunter Shepard (R)100.007467706671727473737163575105065N0272700,001$
2Matthew Villalta (R)100.0074657062697173727371595350050640241620,000$
Rayé
1Isaac Poulter (R)100.007160606266676966696556505005060N0222620,001$
MOYENNE D’ÉQUIPE100.007364676369707270726959535005063
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
1Tye KartyeComets (Van)C/LW7391217526930121810.00%515922.830222110001150044.77%172102001.5000010201
2Aleksi HeponiemiComets (Van)C/LW754974010121961126.32%511416.2900008000051053.85%7871001.5800000102
3Kyle MacLeanComets (Van)C/LW753811151493031016.67%515622.292024110001121022.22%980101.0300010001
4Marcus BjorkComets (Van)D7077675957540%615221.76000012000014000%024000.9200100000
5Joe SnivelyComets (Van)LW7246200138256178.00%212417.840000800001000100.00%464000.9600000010
6Mathias LaferriereComets (Van)C73253551713187616.67%513419.20000180000131036.84%7650000.7400001000
7Joshua RoyComets (Van)LW/RW741500011121381530.77%613519.3300001000000166.67%643000.7400000021
8Kyle CapobiancoComets (Van)D7044240111013330%1118526.52000312000012000%081000.4300000000
9Navrin MutterComets (Van)LW7314217516693733.33%112818.3200000000000171.43%742000.6200100010
10Matthew SeminoffComets (Van)RW7033200877790%112517.900110110000000100.00%220000.4800000000
11Andre LeeComets (Van)C/LW7112775181194711.11%19914.1500000000020050.00%402000.4000010000
12Helge GransComets (Van)D70220408104300%1014320.4300008000011000%034000.2800000000
13Michael CallahanComets (Van)D7011-1006113220%915121.6500008000015000%022000.1300000000
14Filip HallanderComets (Van)C7000-52210645070%1618.7600000000000031.82%222000000110000
15Max GildonComets (Van)D7000300354010%511416.380000000004000%00300000000000
16Semyon Der-ArguchintsevComets (Van)C7000-500814330%1649.1900000000000050.00%22100000000000
17Ethan Del MastroComets (Van)D7000080954240%514420.700000000001000%04100000000000
Statistiques d’équipe totales ou en moyenne1192642682596401931382047412412.75%79219418.452351010700021183245.55%3826930100.6200341345
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
1Hunter ShepardComets (Van)52110.8424.05267001811454000052000
2Matthew VillaltaComets (Van)31020.9032.051760066237000025000
Statistiques d’équipe totales ou en moyenne83130.8643.2444400241769100077000


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aidan DudasComets (Van)LW232000-06-15CANYes161 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm786,667$0$0$No---------------------------Lien
Aleksi HeponiemiComets (Van)C/LW241999-01-09FINNo154 Lbs5 ft10NoNoFree AgentYesNo22024-09-11FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Andre LeeComets (Van)C/LW232000-07-26SWEYes205 Lbs6 ft4NoNoFree AgentNoNo32024-09-11FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Bulat ShafigullinComets (Van)C231999-12-29RUSYes161 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Case McCarthyComets (Van)D222001-01-09USAYes198 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Ethan Del MastroComets (Van)D202003-01-15CANYes205 Lbs6 ft4NoNoProspectNoNo32024-06-25FalseFalsePro & Farm855,833$0$0$No855,833$855,833$-------855,833$855,833$-------NoNo-------Lien
Filip HallanderComets (Van)C232000-06-29SWEYes190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm764,167$0$0$No---------------------------Lien
Helge GransComets (Van)D212002-05-10SWEYes205 Lbs6 ft3NoNoTrade2024-12-14NoNo2FalseFalsePro & Farm847,500$0$0$No847,500$--------847,500$--------No--------Lien
Hunter ShepardComets (Van)G271995-11-07USAYes215 Lbs6 ft0YesNoFree AgentYesNo22024-09-28FalseFalsePro & Farm700,001$0$0$No700,001$--------700,001$--------Yes--------Lien
Isaac PoulterComets (Van)G222001-09-12CANYes174 Lbs6 ft2YesNoFree AgentNoNo22024-09-28FalseFalsePro & Farm620,001$0$0$No620,001$--------620,001$560,000$-------Yes--------Lien
Ivan LodniaComets (Van)RW241999-08-31USAYes195 Lbs6 ft0NoNoFree AgentYesNo32024-09-11FalseFalsePro & Farm650,000$0$0$No650,000$650,000$-------650,000$650,000$-------NoNo-------Lien
Joe SnivelyComets (Van)LW271996-01-01USANo176 Lbs5 ft9NoNoN/AYesNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Joshua RoyComets (Van)LW/RW202003-08-06CANYes192 Lbs6 ft0NoNoTrade2025-02-17NoNo32024-06-25FalseFalsePro & Farm835,000$0$0$No835,000$835,000$-------835,000$835,000$-------NoNo-------Lien
Kyle CapobiancoComets (Van)D261997-08-13CANNo196 Lbs6 ft2NoNoN/AYesNo2FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Kyle MacLeanComets (Van)C/LW241999-04-29USANo190 Lbs6 ft1YesNoFree AgentYesNo22024-09-23FalseFalsePro & Farm726,000$0$0$No726,000$--------726,000$--------Yes--------Lien
Marcus BjorkComets (Van)D251997-11-24SWEYes212 Lbs6 ft4YesNoFree AgentYesNo12024-09-28FalseFalsePro & Farm678,000$0$0$No---------620,000$-----------------Lien
Markus PhillipsComets (Van)D241999-03-21ONTNo202 Lbs6 ft0NoNoFree AgentYesNo22024-09-11FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Mason PrimeauComets (Van)C222001-07-28CANYes221 Lbs6 ft6NoNoFree AgentNoNo32024-09-11FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Mathias LaferriereComets (Van)C232000-06-27CANYes185 Lbs6 ft1NoNoFree AgentNoNo32024-09-11FalseFalsePro & Farm720,000$0$0$No720,000$720,000$-------720,000$720,000$-------NoNo-------Lien
Matthew SeminoffComets (Van)RW192003-12-27USAYes190 Lbs5 ft11NoNoProspectNoNo32024-06-25FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien
Matthew VillaltaComets (Van)G241999-06-03CANYes190 Lbs6 ft4NoNoN/AYesNo1FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Max GildonComets (Van)D241999-05-17USANo194 Lbs6 ft3NoNoFree AgentYesNo22024-09-11FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Michael Callahan (contrat à 1 volet)Comets (Van)D241999-09-23USAYes196 Lbs6 ft2NoNoN/AYesNo1FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Navrin MutterComets (Van)LW222001-03-15CANYes209 Lbs6 ft3NoNoFree AgentNoNo32024-09-11FalseFalsePro & Farm725,000$0$0$No725,000$725,000$-------725,000$725,000$-------NoNo-------Lien
Semyon Der-ArguchintsevComets (Van)C232000-09-15RUSYes161 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm766,667$0$0$No---------------------------Lien
Stanislav DeminComets (Van)D232000-04-04USAYes190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Tye KartyeComets (Van)C/LW222001-04-30CANYes202 Lbs5 ft11NoNoTrade2024-12-12NoNo2FalseFalsePro & Farm859,167$0$0$No859,167$--------859,167$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2723.11191 Lbs6 ft11.96740,148$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle MacLeanTye KartyeJoshua Roy36023
2Joe SnivelyMathias LaferriereMatthew Seminoff29122
3Andre LeeAleksi HeponiemiNavrin Mutter24122
4Semyon Der-ArguchintsevFilip HallanderNavrin Mutter11221
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle CapobiancoEthan Del Mastro36122
2Helge GransMichael Callahan31122
3Max GildonMarcus Bjork25122
4Kyle CapobiancoMarcus Bjork8032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kyle MacLeanTye KartyeMatthew Seminoff59122
2Joe SnivelyMathias LaferriereAleksi Heponiemi41122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle CapobiancoMarcus Bjork60032
2Helge GransMichael Callahan40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tye KartyeKyle MacLean55122
2Mathias LaferriereJoe Snively45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle CapobiancoMarcus Bjork60122
2Helge GransMichael Callahan40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tye Kartye60122Kyle CapobiancoMarcus Bjork58122
2Mathias Laferriere40122Helge GransMichael Callahan42032
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tye KartyeKyle MacLean60122
2Mathias LaferriereJoe Snively40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle CapobiancoMarcus Bjork56122
2Helge GransMichael Callahan44122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kyle MacLeanTye KartyeMatthew SeminoffKyle CapobiancoMarcus Bjork
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kyle MacLeanTye KartyeMatthew SeminoffKyle CapobiancoMarcus Bjork
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mathias Laferriere, Aleksi Heponiemi, Andre LeeMathias Laferriere, Aleksi HeponiemiMathias Laferriere
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Callahan, Max Gildon, Ethan Del MastroMichael CallahanMichael Callahan, Max Gildon
Tirs de pénalité
Tye Kartye, Kyle MacLean, Joe Snively, Matthew Seminoff, Mathias Laferriere
Gardien
#1 : Hunter Shepard, #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
1Heat73400000262424220000014122312000001212060.42926426800512902044690653176799619313215.38%18572.22%07615250.00%5212142.98%4610942.20%146721387615975
Total73400000262424220000014122312000001212060.42926426800512902044690653176799619313215.38%18572.22%07615250.00%5212142.98%4610942.20%146721387615975
_Since Last GM Reset73400000262424220000014122312000001212060.42926426800512902044690653176799619313215.38%18572.22%07615250.00%5212142.98%4610942.20%146721387615975
_Vs Conference73400000262424220000014122312000001212060.42926426800512902044690653176799619313215.38%18572.22%07615250.00%5212142.98%4610942.20%146721387615975

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76OTL1264268204176799619300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002624
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001412
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31200001212
Derniers 10 matchs
WLOTWOTL SOWSOL
310300
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
13215.38%18572.22%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
469065351290
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
7615250.00%5212142.98%4610942.20%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
146721387615975


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 - 2025-04-196Heat3Comets2LXSommaire du match
4 - 2025-04-2114Heat1Comets4WSommaire du match
6 - 2025-04-2322Comets5Heat6LXSommaire du match
8 - 2025-04-2530Comets6Heat4WSommaire du match
10 - 2025-04-2738Heat4Comets5WSommaire du match
12 - 2025-04-2946Comets1Heat2LSommaire du match
14 - 2025-05-0154Heat4Comets3LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance5,9053,016
Assistance PCT73.81%75.40%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-1 2230 - 74.34% 106,671$426,684$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,936,401$ 1,936,401$ 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$ 3 0$ 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