Comets
GP: 21 | W: 16 | L: 3 | OTL: 2 | P: 34
GF: 81 | GA: 60 | PP%: 16.00% | PK%: 79.41%
DG: Mathieu Turcotte | Morale : 75 | Moyenne d’équipe : 63
Prochain matchs #364 vs Americans
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Centre de jeu
Comets
16-3-2, 34pts
5
FINAL
4 Bruins
17-6-1, 35pts
Team Stats
OTL1StreakW1
9-1-1Home Record9-4-0
7-2-1Away Record8-2-1
7-2-1Last 10 Games7-3-0
3.86Buts par match 3.96
2.86Buts contre par match 3.13
16.00%Pourcentage en avantage numérique23.38%
79.41%Pourcentage en désavantage numérique82.83%
Comets
16-3-2, 34pts
3
FINAL
4 Penguins
11-11-2, 24pts
Team Stats
OTL1StreakW3
9-1-1Home Record7-5-1
7-2-1Away Record4-6-1
7-2-1Last 10 Games5-5-0
3.86Buts par match 3.33
2.86Buts contre par match 3.42
16.00%Pourcentage en avantage numérique27.85%
79.41%Pourcentage en désavantage numérique77.38%
Comets
16-3-2, 34pts
2024-11-29
Americans
12-9-1, 25pts
Statistiques d’équipe
OTL1SéquenceOTL1
9-1-1Fiche domicile6-5-1
7-2-1Fiche visiteur6-4-0
7-2-110 derniers matchs5-4-1
3.86Buts par match 3.18
2.86Buts contre par match 3.18
16.00%Pourcentage en avantage numérique18.92%
79.41%Pourcentage en désavantage numérique80.00%
Comets
16-3-2, 34pts
2024-12-01
Griffins
11-10-1, 23pts
Statistiques d’équipe
OTL1SéquenceW1
9-1-1Fiche domicile8-3-0
7-2-1Fiche visiteur3-7-1
7-2-110 derniers matchs6-4-0
3.86Buts par match 3.91
2.86Buts contre par match 4.05
16.00%Pourcentage en avantage numérique25.00%
79.41%Pourcentage en désavantage numérique77.61%
Comets
16-3-2, 34pts
2024-12-03
Wild
12-6-4, 28pts
Statistiques d’équipe
OTL1SéquenceW1
9-1-1Fiche domicile4-3-1
7-2-1Fiche visiteur8-3-3
7-2-110 derniers matchs5-1-4
3.86Buts par match 3.77
2.86Buts contre par match 3.27
16.00%Pourcentage en avantage numérique17.14%
79.41%Pourcentage en désavantage numérique89.16%
Meneurs d'équipe
Mads SogaardVictoires
Mads Sogaard
16
Dennis HildebyPourcentage d’arrêts
Dennis Hildeby
0.946

Statistiques d’équipe
Buts pour
81
3.86 GFG
Tirs pour
810
38.57 Avg
Pourcentage en avantage numérique
16.0%
12 GF
Début de zone offensive
44.1%
Buts contre
60
2.86 GAA
Tirs contre
652
31.05 Avg
Pourcentage en désavantage numérique
79.4%
14 GA
Début de la zone défensive
37.5%
Information d’équipe

Directeur généralMathieu Turcotte
EntraîneurBen Simon
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,974
Billets de saison300


Information formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 80
Espoirs123


Historique d'équipe

Saison actuelle16-3-2 (34PTS)
Historique924-612-151 (0.548%)
Apparitions séries éliminatoires 13
Historique séries éliminatoires (W-L)62-73
Stanley Cup0


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
1JJ Peterka (R)0XX100.00593489767286897556717365766268075690221950,000$
2Ryan Donato0XX100.00715885697281887075686762657168075670282999,999$
3Nathan Bastian (R)0X100.00827779658780786357646276616870075660261850,000$
4Adam Edstrom0X100.00864189629976695956576364586566075640233999,999$
5Cole Guttman (R)0X100.00623883686386826781656662686567075640252950,000$
6Jiri Kulich (R)0X100.00683888677591826563586462666167075640202950,000$
7Brendan Perlini0XX100.00774180638695715760596261586870075630282800,000$
8Matthew Phillips (R)0XX100.00593495656082806461626360646668075630262900,000$
9Jakob Pelletier (R)0X100.00633687666385766560636261666465075630231950,000$
10Isaac Ratcliffe (R)0X100.00835069579274815653545558526567075610252800,000$
11Marco Kasper (R)0X100.00733787597485735860575663596264075610203950,000$
12Graham Slaggert (R)0X100.00603789586973805760545653556567075590252950,000$
13Philip Broberg (R)0X100.00753995658979816330675864506365075650231950,000$
14Matt Irwin0X100.00765383628078845730605668487879075640362999,999$
15Jordan Gross0X100.00613782656886806330626461536971075630292836,000$
16Jake Livingstone (R)0X100.00734080648881736330655260486567075630253950,000$
17Kevin Gravel0X100.00763991608780855830605366477274075630322999,999$
18Jack Thompson (R)0X100.00673792637584855930625764496264075620222950,000$
19Tyler Tucker (R)0X100.00726761637880785830625961536466075620242868,000$
Rayé
1Aliaksei Protas (R)0XX100.008240956797818769666860656264650756702311,160,000$
2Robert Mastrosimone (R)0X100.00553973586481675659575452556365075580233950,000$
3Dmitry Zlodeyev (R)0X100.00603695556961635456525350556264075570223950,000$
4Corson Ceulemans (R)0X100.00713991588064705730555356466163075590212950,000$
5Nicolas Beaudin (R)0X100.00573874636665705730645154466567075590242825,000$
6Thomas Miller (R)0X100.00683894547765755230535156456567075580252950,000$
MOYENNE D’ÉQUIPE100.0069438563777978614961596156656707563
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
1Mads Sogaard100.0078858195777678777678776471075680233964,000$
2Dennis Hildeby (R)100.0071787491706971706971706369075630232950,000$
Rayé
MOYENNE D’ÉQUIPE100.007582789374737574737574647007566
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ben Simon66636475696580USA4531,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1JJ PeterkaComets (VAN)LW/RW21161430600849131336112.21%847822.781231966000172252.46%6100001.2500000213
2Jiri KulichComets (VAN)RW217142180018219421677.45%138118.181561457000003048.28%2900001.1000000104
3Cole GuttmanComets (VAN)C2161420800236456245310.71%341519.812241066000050052.54%57100000.9600000021
4Nathan BastianComets (VAN)RW2161218722090388320777.23%442920.450229650000231053.57%2800000.8400000310
5Ryan DonatoComets (VAN)C/LW21891724021438321589.64%436217.251341968000001057.14%3500000.9400000110
6Adam EdstromComets (VAN)C2179168160543147113314.89%1037017.662139340223641046.88%48000000.8600000202
7Philip BrobergComets (VAN)D2141115540442533131912.12%3050624.112131668101255100.00%000000.5900000031
8Aliaksei ProtasComets (VAN)C/LW176814929534386114479.84%230718.0710113380000162152.28%39400000.9100001120
9Kevin GravelComets (VAN)D2139121516032162491912.50%2941719.890221052101142000.00%000000.5700000110
10Brendan PerliniComets (VAN)LW/RW174711560341427132914.81%526115.39112425000091038.89%1800000.8400000003
11Jakob PelletierComets (VAN)LW21561162013303793313.51%328813.75000000112592041.67%10800000.7600000002
12Jordan GrossComets (VAN)D1828101740916227139.09%1827815.451231034000032000.00%000000.7200000020
13Matthew PhillipsComets (VAN)C/RW212685205244216304.76%427413.0600000000000050.00%2000000.5800000000
14Tyler TuckerComets (VAN)D2126841955217195810.53%1834516.4601126000013000.00%000000.4600001010
15Jack ThompsonComets (VAN)D211454801020145117.14%2735616.9700001000127100.00%000000.2800000000
16Jake LivingstoneComets (VAN)D17235-32086204100.00%71136.680000000003100.00%000000.8800000000
17Matt IrwinComets (VAN)D21055540105219198100.00%2443920.92011217000042000.00%000000.2300011010
18Marco KasperComets (VAN)C210222201119154110.00%21567.470111180001270051.78%19700000.2500000000
19Graham SlaggertComets (VAN)C7000000000000.00%000.09000000000000100.00%100000.0000000000
20Isaac RatcliffeComets (VAN)LW21000000001010.00%000.030000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne391811472281131762051849081023358410.00%199618515.821224361386222351143116350.31%194200000.7400013111516
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
1Mads SogaardComets (VAN)2116320.9072.85119962576140000.0000210211
2Dennis HildebyComets (VAN)20000.9461.8864002370010.0000021000
Statistiques d’équipe totales ou en moyenne2316320.9092.80126462596510010.00002121211


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 restantSalaire moyenSalaire 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
Adam EdstromComets (VAN)C232000-10-12No234 Lbs6 ft7NoNoNo3Pro & Farm999,999$719,387$999,999$719,387$0$0$No999,999$999,999$Lien
Aliaksei Protas (contrat à 1 volet)Comets (VAN)C/LW232001-01-06Yes225 Lbs6 ft6NoNoNo1Pro & Farm1,160,000$834,490$1,160,000$834,490$1,160,000$834,490$NoLien / Lien NHL
Brendan PerliniComets (VAN)LW/RW281996-04-27No211 Lbs6 ft3NoNoNo2Pro & Farm800,000$575,510$800,000$575,510$0$0$No800,000$Lien / Lien NHL
Cole GuttmanComets (VAN)C251999-04-06Yes167 Lbs5 ft9NoNoNo2Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$Lien / Lien NHL
Corson CeulemansComets (VAN)D212003-05-05Yes198 Lbs6 ft2NoNoNo2Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$Lien / Lien NHL
Dennis HildebyComets (VAN)G232001-08-19Yes209 Lbs6 ft5NoNoNo2Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$Lien / Lien NHL
Dmitry ZlodeyevComets (VAN)C222002-02-15Yes185 Lbs5 ft11NoNoNo3Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$950,000$
Graham SlaggertComets (VAN)C251999-04-06Yes183 Lbs5 ft11NoNoNo2Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$Lien / Lien NHL
Isaac RatcliffeComets (VAN)LW251999-02-15Yes200 Lbs6 ft6NoNoNo2Pro & Farm800,000$575,510$800,000$575,510$0$0$No800,000$Lien / Lien NHL
JJ PeterkaComets (VAN)LW/RW222002-01-14Yes189 Lbs6 ft0NoNoNo1Pro & Farm950,000$683,418$950,000$683,418$0$0$NoLien / Lien NHL
Jack ThompsonComets (VAN)D222002-04-19Yes189 Lbs6 ft1NoNoNo2Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$Lien / Lien NHL
Jake LivingstoneComets (VAN)D251999-04-16Yes205 Lbs6 ft3NoNoNo3Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$950,000$
Jakob PelletierComets (VAN)LW232001-03-07Yes170 Lbs5 ft9NoNoNo1Pro & Farm950,000$683,418$950,000$683,418$0$0$NoLien / Lien NHL
Jiri KulichComets (VAN)RW202004-04-14Yes186 Lbs6 ft1NoNoNo2Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$Lien / Lien NHL
Jordan GrossComets (VAN)D291995-05-09No190 Lbs5 ft10NoNoNo2Pro & Farm836,000$601,408$836,000$601,408$0$0$No836,000$Lien / Lien NHL
Kevin GravelComets (VAN)D321992-03-06No205 Lbs6 ft4NoNoNo2Pro & Farm999,999$719,387$999,999$719,387$0$0$No999,999$Lien / Lien NHL
Mads SogaardComets (VAN)G232000-12-13No196 Lbs6 ft7NoNoNo3Pro & Farm964,000$693,490$964,000$693,490$0$0$No964,000$964,000$Lien / Lien NHL
Marco KasperComets (VAN)C202004-04-08Yes183 Lbs6 ft1NoNoNo3Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$950,000$
Matt IrwinComets (VAN)D361987-11-29No200 Lbs6 ft2NoNoNo2Pro & Farm999,999$719,387$999,999$719,387$0$0$No999,999$Lien / Lien NHL
Matthew PhillipsComets (VAN)C/RW261998-04-06Yes160 Lbs5 ft8NoNoNo2Pro & Farm900,000$647,449$900,000$647,449$0$0$No900,000$Lien / Lien NHL
Nathan BastianComets (VAN)RW261997-12-06Yes205 Lbs6 ft4NoNoNo1Pro & Farm850,000$611,480$850,000$611,480$0$0$NoLien / Lien NHL
Nicolas BeaudinComets (VAN)D241999-10-07Yes168 Lbs5 ft11NoNoNo2Pro & Farm825,000$593,495$825,000$593,495$0$0$No825,000$Lien / Lien NHL
Philip BrobergComets (VAN)D232001-06-25Yes212 Lbs6 ft4NoNoNo1Pro & Farm950,000$683,418$950,000$683,418$0$0$NoLien / Lien NHL
Robert MastrosimoneComets (VAN)LW232001-01-24Yes170 Lbs5 ft10NoNoNo3Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$950,000$
Ryan DonatoComets (VAN)C/LW281996-04-09No190 Lbs6 ft0NoNoNo2Pro & Farm999,999$719,387$999,999$719,387$0$0$No999,999$Lien / Lien NHL
Thomas MillerComets (VAN)D251999-03-06Yes181 Lbs6 ft2NoNoNo2Pro & Farm950,000$683,418$950,000$683,418$0$0$No950,000$Lien / Lien NHL
Tyler TuckerComets (VAN)D242000-03-01Yes204 Lbs6 ft1NoNoNo2Pro & Farm868,000$624,429$868,000$624,429$0$0$No868,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2724.67193 Lbs6 ft22.04937,148$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1JJ PeterkaCole GuttmanNathan Bastian35122
2Brendan PerliniJakob PelletierJiri Kulich30122
3Ryan DonatoAdam EdstromMatthew Phillips25122
4Ryan DonatoMarco KasperJJ Peterka10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip BrobergMatt Irwin40122
2Kevin GravelJake Livingstone30122
3Tyler TuckerJack Thompson30122
4Philip BrobergMatt Irwin0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1JJ PeterkaCole GuttmanNathan Bastian60122
2Adam EdstromMarco KasperJiri Kulich40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip BrobergRyan Donato60122
2Kevin GravelMatt Irwin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam EdstromJJ Peterka60140
2Marco KasperNathan Bastian40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip BrobergMatt Irwin60122
2Kevin GravelTyler Tucker40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1JJ Peterka60122Philip BrobergMatt Irwin60122
2Ryan Donato40122Kevin GravelJack Thompson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1JJ PeterkaRyan Donato60122
2Adam EdstromNathan Bastian40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip BrobergMatt Irwin60122
2Kevin GravelJack Thompson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
JJ PeterkaRyan DonatoNathan BastianPhilip BrobergMatt Irwin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
JJ PeterkaRyan DonatoNathan BastianPhilip BrobergMatt Irwin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Marco Kasper, Cole Guttman, Adam EdstromMarco Kasper, Cole GuttmanAdam Edstrom
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Tucker, Jack Thompson, Kevin GravelTyler TuckerJack Thompson, Kevin Gravel
Tirs de pénalité
JJ Peterka, Ryan Donato, Adam Edstrom, Nathan Bastian, Jiri Kulich
Gardien
#1 : Mads Sogaard, #2 : Dennis Hildeby
Lignes d’attaque personnalisées en prolongation
JJ Peterka, Ryan Donato, Jakob Pelletier, Nathan Bastian, Jiri Kulich, Cole Guttman, Cole Guttman, Adam Edstrom, Marco Kasper, Matthew Phillips, Brendan Perlini
Lignes de défense personnalisées en prolongation
Philip Broberg, Matt Irwin, Kevin Gravel, Jake Livingstone, Tyler Tucker


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
1Admirals11000000642110000006420000000000021.000691500362717147269304232525632273133.33%5180.00%143685351.11%36772550.62%17435748.74%533374460152271138
2Barracuda1010000035-2000000000001010000035-200.000369103627171472693042325366826400.00%4175.00%043685351.11%36772550.62%17435748.74%533374460152271138
3Bruins11000000541000000000001100000054121.000591400362717136269304232540106355240.00%220.00%043685351.11%36772550.62%17435748.74%533374460152271138
4Checkers11000000321000000000001100000032121.000369003627171432693042325298428200.00%20100.00%043685351.11%36772550.62%17435748.74%533374460152271138
5Condors11000000303110000003030000000000021.0003690136271713126930423253354217114.29%10100.00%043685351.11%36772550.62%17435748.74%533374460152271138
6Crunch11000000523000000000001100000052321.000591400362717137269304232525109274125.00%20100.00%043685351.11%36772550.62%17435748.74%533374460152271138
7Devils11000000633110000006330000000000021.00061016003627171362693042325178826100.00%4250.00%043685351.11%36772550.62%17435748.74%533374460152271138
8Gulls11000000431000000000001100000043121.00048120036271713126930423252334217114.29%20100.00%043685351.11%36772550.62%17435748.74%533374460152271138
9IceHogs2110000056-11010000015-41100000041320.500591400362717170269304232563281735200.00%50100.00%043685351.11%36772550.62%17435748.74%533374460152271138
10Penguins2000020079-21000010045-11000010034-120.5007132000362717170269304232574261843800.00%6266.67%043685351.11%36772550.62%17435748.74%533374460152271138
11Phantoms22000000642110000003211100000032141.00061218003627171722693042325612716398337.50%70100.00%043685351.11%36772550.62%17435748.74%533374460152271138
12Reign11000000431000000000001100000043121.00047110036271712726930423253996242150.00%3166.67%043685351.11%36772550.62%17435748.74%533374460152271138
13Senators1010000036-3000000000001010000036-300.0003580036271714526930423253574394125.00%2150.00%043685351.11%36772550.62%17435748.74%533374460152271138
14Sound Tigers11000000413110000004130000000000021.00047110036271713226930423252741227300.00%60100.00%043685351.11%36772550.62%17435748.74%533374460152271138
15Wolf Pack11000000303110000003030000000000021.0003690136271714526930423252292265120.00%10100.00%043685351.11%36772550.62%17435748.74%533374460152271138
16Wolves11000000532110000005320000000000021.000591400362717149269304232530101425500.00%7185.71%043685351.11%36772550.62%17435748.74%533374460152271138
17Wranglers21001000954210010009540000000000041.0009162500362717192269304232573231849500.00%9366.67%143685351.11%36772550.62%17435748.74%533374460152271138
Total211530120081602111810110044281610720010037325340.810811472281236271718102693042325652199182518751216.00%681479.41%243685351.11%36772550.62%17435748.74%533374460152271138
_Since Last GM Reset211530120081602111810110044281610720010037325340.810811472281236271718102693042325652199182518751216.00%681479.41%243685351.11%36772550.62%17435748.74%533374460152271138
_Vs Conference962010003426853101000191454310000015123140.7783461951136271713452693042325292808920330413.33%29679.31%243685351.11%36772550.62%17435748.74%533374460152271138
_Vs Division64101000231673200100012573210000011110100.8332343661136271712282693042325204464014125312.00%19573.68%143685351.11%36772550.62%17435748.74%533374460152271138

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2134OTL18114722881065219918251812
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2115312008160
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
118111004428
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
107201003732
Derniers 10 matchs
WLOTWOTL SOWSOL
720100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
751216.00%681479.41%2
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
26930423253627171
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
43685351.11%36772550.62%17435748.74%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
533374460152271138


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
6 - 2024-10-099Wranglers4Comets5BWXSommaire du match
8 - 2024-10-1122Phantoms2Comets3BWSommaire du match
12 - 2024-10-1548Comets5Crunch2AWSommaire du match
14 - 2024-10-1765Comets3Checkers2AWSommaire du match
16 - 2024-10-1982Comets3Phantoms2AWSommaire du match
19 - 2024-10-22100Comets4IceHogs1AWSommaire du match
23 - 2024-10-26133Penguins5Comets4BLXSommaire du match
25 - 2024-10-28146Wolves3Comets5BWSommaire du match
27 - 2024-10-30159Devils3Comets6BWSommaire du match
30 - 2024-11-02184Comets3Barracuda5ALSommaire du match
33 - 2024-11-05203Comets4Gulls3AWSommaire du match
35 - 2024-11-07218Comets4Reign3AWSommaire du match
37 - 2024-11-09235Condors0Comets3BWSommaire du match
40 - 2024-11-12250Wranglers1Comets4BWSommaire du match
42 - 2024-11-14265Sound Tigers1Comets4BWSommaire du match
44 - 2024-11-16283IceHogs5Comets1BLSommaire du match
45 - 2024-11-17285Admirals4Comets6BWSommaire du match
47 - 2024-11-19300Wolf Pack0Comets3BWSommaire du match
51 - 2024-11-23323Comets3Senators6ALSommaire du match
54 - 2024-11-26345Comets5Bruins4AWSommaire du match
55 - 2024-11-27354Comets3Penguins4ALXSommaire du match
57 - 2024-11-29364Comets-Americans-
59 - 2024-12-01388Comets-Griffins-
61 - 2024-12-03402Comets-Wild-
64 - 2024-12-06422Monsters-Comets-
66 - 2024-12-08437Crunch-Comets-
68 - 2024-12-10455Thunderbirds-Comets-
70 - 2024-12-12471Checkers-Comets-
72 - 2024-12-14486Bruins-Comets-
74 - 2024-12-16496Eagles-Comets-
76 - 2024-12-18510Comets-Roadrunners-
77 - 2024-12-19519Comets-Silver Knights-
79 - 2024-12-21537Senators-Comets-
81 - 2024-12-23555Barracuda-Comets-
86 - 2024-12-28567Firebirds-Comets-
89 - 2024-12-31600Comets-Wranglers-
91 - 2025-01-02613Comets-Firebirds-
92 - 2025-01-03619Admirals-Comets-
95 - 2025-01-06638Comets-Rocket-
97 - 2025-01-08650Comets-Bears-
99 - 2025-01-10666Comets-Wolves-
100 - 2025-01-11672Comets-Marlies-
103 - 2025-01-14702Comets-Moose-
105 - 2025-01-16719Reign-Comets-
107 - 2025-01-18735Condors-Comets-
110 - 2025-01-21755Americans-Comets-
112 - 2025-01-23768Comets-Condors-
114 - 2025-01-25786Bears-Comets-
116 - 2025-01-27796Comets-Thunderbirds-
118 - 2025-01-29810Comets-Admirals-
120 - 2025-01-31823Comets-Stars-
122 - 2025-02-02842Griffins-Comets-
124 - 2025-02-04855Eagles-Comets-
126 - 2025-02-06870Comets-Barracuda-
128 - 2025-02-08884Marlies-Comets-
142 - 2025-02-22905Comets-Silver Knights-
143 - 2025-02-23915Comets-Roadrunners-
146 - 2025-02-26932Comets-Reign-
147 - 2025-02-27944Comets-Gulls-
149 - 2025-03-01960Comets-Firebirds-
153 - 2025-03-05986Gulls-Comets-
155 - 2025-03-071000Wild-Comets-
157 - 2025-03-091019Stars-Comets-
159 - 2025-03-111032Rocket-Comets-
160 - 2025-03-121037Comets-Wranglers-
163 - 2025-03-151065IceHogs-Comets-
164 - 2025-03-161071Roadrunners-Comets-
166 - 2025-03-181086Moose-Comets-
168 - 2025-03-201095Comets-Thunderbirds-
170 - 2025-03-221104Comets-Wolf Pack-
172 - 2025-03-241125Comets-Devils-
174 - 2025-03-261139Comets-Sound Tigers-
176 - 2025-03-281155Comets-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
178 - 2025-03-301172Comets-Moose-
181 - 2025-04-021196Firebirds-Comets-
184 - 2025-04-051212Gulls-Comets-
185 - 2025-04-061229Silver Knights-Comets-
187 - 2025-04-081242Comets-Stars-
189 - 2025-04-101256Comets-Eagles-
191 - 2025-04-121273Wild-Comets-
193 - 2025-04-141290Barracuda-Comets-
195 - 2025-04-161305Silver Knights-Comets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance21,82110,896
Assistance PCT99.19%99.05%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-1 2974 - 99.14% 80,564$886,206$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
958,100$ 2,414,300$ 2,414,300$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 677,490$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-80,564$ 141 17,420$ 2,456,220$




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
1Jason Jaffray50518324542875313987764155111.80%190959919.0148721202021016291350.15%50.89320
2Matt Calvert3111592033624288657502134411.83%164647820.8339559414743711191041.60%61.12123
3Nathan Bastian451156180336493561343591143110.90%203693815.382937662210111022440.60%50.9724
4Tom Pyatt294107185292368253060595511.20%176583519.85223557893362212450.82%31.00612
5Gemel Smith535118146264-4878341789117510.04%140854015.961732491531011124952.86%30.62416

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
1Anders Lindback551323154520.9182.56323503433137816810829937150.730200
2Alex Lyon371178139280.9103.2220693282011121232001480.71964
3Linus Ullmark1527458190.9242.35902714835446530840.64679
4Braden Holtby1176337150.9003.0667978334734801792430.74663
5Mads Sogaard113573680.9003.60598316335936000320.93816

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
Saison régulière
580343503224279275440151702114149144540191801110130131-184279464743140831048728150899988913253692578122032075526.57%1825072.53%7848162552.18%728143850.63%660131950.04%161678417559481731872
6803532054222632323140201305200139974240151900222124135-11902634276900110571009923580702801836229679755721912032914.29%1623479.01%4801155051.68%735152248.29%543117146.37%1569742353819051736875
776392606410263204593818130430011610412382113021101471004796263430693150601128425660780951814228374252520092014723.38%1543179.87%9861157054.84%865160653.86%620118252.45%156479714307461583805
876402204253304229753823802131160111493817140212214411826103304500804350861129727340902938881241582071621622246328.13%1752983.43%41051183557.28%950171055.56%668116557.34%160584814737421525762
980322504106330026634401611026501501292140161402413150137139730048978931083108993030010241066922243084844224811863518.82%1713181.87%31071192455.67%894164954.21%629119552.64%176296315137751585779
108042210226726521055402190115313596394021120111413011416109265432697380639210227200826908946241180466620761957236.92%2265675.22%8951177753.52%891178649.89%618112754.84%164483515358131690832
11803828043522512213040181302142128101274020150221012312039925142667704049104892978093910091004237878566923782346226.50%2385576.89%4995193951.32%903171352.71%594112752.71%175694614827871608786
127638220237426521649381911022311301012938191100143135115201012654336981205110996280908621002903260484968620482235424.22%2166271.30%2925182150.80%953185351.43%566111650.72%162786414927511501749
138041180865228919891402780122014983664014100743214011525116289484773120751188330860100510351007255887241821252095526.32%1613677.64%41021199651.15%909176851.41%553111649.55%174393915137741599798
148038230562626820662402080431414210141401815013121261052110226844871634084997827960967926874263392662420422105325.24%1913979.58%5947183651.58%966180853.43%611111754.70%166585815607851633824
1580263206475210219-9401715022131211174409170426289102-138721033454437037778321490581753778264893125817201725833.72%933958.06%2801156251.28%853169350.38%521101351.43%152969015907891757929
1676223106359183208-253813140421498104-6389170214585104-197818332450721060535919720669674594227267640413992614718.01%1723281.40%11170224852.05%1305252651.66%612116252.67%1785121418525781002499
178036320322520718918401719011029496-24019130212311393208920737157832057727323320744773796239271345215412725319.49%2023085.15%11299261849.62%1304266748.89%548119245.97%1926132218735951039523
18762731022410171210-393813160101789113-24381415012338297-157817130447516057604819460626664626250774162716621782815.73%2733985.71%21067221948.08%1434283550.58%565115548.92%1696112819325881009482
1982314102350202226-244117200013098100-241142102220104126-227920236656823075685220670673709676228566133514081743520.11%1492483.89%01140230749.41%1195247648.26%593126646.84%1965134819045901080545
208252220222228120972412510021211451014441271200101136108281162815137942100919888288908681039971247273562818953448625.00%2724184.93%21648307853.54%1514276854.70%671129951.66%2040140518336081075553
2182363501514285297-1241152101301141155-14412114002131441422852855147992408792104322701078106910643559104355022152324619.83%2474780.97%11311308542.50%1397348540.09%559131042.67%181212662164581978467
2282283708414285303-1841141803402143147-441141905012142156-1482285513798530102849032320110610121060328296454320142284218.42%2344979.06%21499313047.89%1447320745.12%628138145.47%1901134020595821010489
238236360190032531213412217002001691482141141901700156164-883325576901211351018813246107010701090163206100570920122344017.09%2707472.59%01614317550.83%1529321647.54%742143751.64%1944139020045741001489
202282412903540418350684120160221019716433412113013302211863510141875211704017611711893588117712041178453311100551219952306026.09%2296870.31%31583313950.43%1468316546.38%710153446.28%1886134520565711009488
20238245310141034530045411820012001641604412711002101811404198345605950031281141013338511421118110820298284256620562666323.68%2385178.57%41643327250.21%1457293649.63%716143150.03%2038144218695701033524
202421153012008160211181011004428161072001003732534811472281236271718102693042325652199182518751216.00%681479.41%243685351.11%36772550.62%17435748.74%533374460152271138
Total Saison régulière1695772612079877372574051406008483962980434333352901250040184737631403644403728392640199200757409852155924388475161619861525587353658189471992515751561121788311850421504758109523.01%432393178.46%70246824855950.83%240644855249.56%131012617250.06%376172284938898158142846614218
Séries éliminatoires
7624000001919031200000981312000001011-14192948000478194054657522784181575240.00%10370.00%17412957.36%5612744.09%508360.24%116601245511859
8514000001518-331200000111012020000048-421524390004381800595762188813313120210.00%9188.89%06010855.56%6713250.76%397651.32%1095899489651
9404000001219-720200000712-52020000057-201222340005611610526049166502010317529.41%9188.89%06111851.69%7912364.23%326847.06%854886377135
1024159000008369141192000003923161367000004446-230831352180001933298980294325269956304204588481225.00%652364.62%430862349.44%32863851.41%18736451.37%496261502236478239
111257000003239-75320000017170725000001522-710325890000714843801341571335071699735020315.00%42880.95%013827849.64%16231451.59%9217652.27%253135257115226113
1213760000037334633000002016474300000171701437619810011111551901821841495171786635527933.33%23865.22%016032848.78%18735352.97%11820557.56%281153272124251126
13624000001819-13120000098131200000911-241833511004772180717869218885015615640.00%25868.00%08015850.63%7315148.34%418448.81%130701135611655
14241410000008073713103000004232101147000003841-32880142222000233122943032529730386728495725471123.40%41782.93%030864048.13%26956447.70%18536350.96%528297476229461226
171257000002729-25140000079-27430000020200102748750107125338090117944441179422643613.95%47882.98%020341449.03%21949344.42%8418645.16%2972043269716477
20514000001316-33120000078-12020000068-221323360003641600445362168515812422627.27%22768.18%09317453.45%8319841.92%489252.17%12283116366635
23514000001323-102020000049-531200000914-521324370006611680536748175603011417317.65%15380.00%08918448.37%7917445.40%429245.65%11883117356331
2022624000002427-3321000001512330300000915-642444680099602177771654213484014519421.05%18572.22%012124349.79%10420351.23%3910437.50%13995147458039
202313760000051474633000002020074300000312741451891400024151205011621701561345213798332351234.29%401075.00%127251952.41%24445353.86%11622551.56%3182203089517184
Total Séries éliminatoires135627300000424431-7653530000002071842370274300000217247-301244247321156213311715410849352391599168113305098165190335063358124.18%3669274.86%61967391650.23%1950392349.71%1073211850.66%299817712947121623661174

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
1Matt Calvert47233659-2111168822510.22%41104822.3276131701122336.09%01.1200
2Jason Jaffray7920375714321471192468.13%31135217.12077900004150.00%00.8400
3Cody Eakin401814321113655714112.77%1467316.83325300001048.78%00.9500
4Tomas Vincour36121931165667911610.34%1566018.35123410142054.58%00.9400
5Tim Stapleton31131831-5733729413.83%1961319.78167911214050.00%01.0100

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
1Anders Lindback78402880.9232.90466017022529141500320.0000
2Kevin Poulin125420.8913.8264420413750000.0000
3Linus Ullmark125520.9352.2178821294440100.0000
4Braden Holtby135710.9173.387642043521277000.0000
5Antoine Bibeau42000.9222.35153206770000.0000