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Comets
GP: 57 | W: 30 | L: 22 | OTL: 5 | P: 65
GF: 142 | GA: 131 | PP%: 30.17% | PK%: 68.98%
DG: Stéphane Trudeau | Morale : 50 | Moyenne d’équipe : 53
Prochains matchs #816 vs Armada

Centre de jeu
Red Bull
22-28-8, 52pts
2
1 Comets
30-22-5, 65pts
Team Stats
SOL1SéquenceW1
15-13-0Fiche domicile14-13-2
7-15-8Fiche domicile16-9-3
1-7-2Derniers 10 matchs6-3-1
2.48Buts par match 2.49
3.05Buts contre par match 2.30
32.89%Pourcentage en avantage numérique30.17%
57.29%Pourcentage en désavantage numérique68.98%
Comets
30-22-5, 65pts
3
1 Heat
35-17-5, 75pts
Team Stats
W1SéquenceL1
14-13-2Fiche domicile21-5-3
16-9-3Fiche domicile14-12-2
6-3-1Derniers 10 matchs7-3-0
2.49Buts par match 2.89
2.30Buts contre par match 2.18
30.17%Pourcentage en avantage numérique36.36%
68.98%Pourcentage en désavantage numérique67.66%
Armada
27-23-7, 61pts
2026-05-17
Comets
30-22-5, 65pts
Statistiques d’équipe
OTL1SéquenceW1
17-10-1Fiche domicile14-13-2
10-13-6Fiche visiteur16-9-3
4-3-310 derniers matchs6-3-1
2.44Buts par match 2.49
2.56Buts contre par match 2.49
32.04%Pourcentage en avantage numérique30.17%
67.42%Pourcentage en désavantage numérique68.98%
Comets
30-22-5, 65pts
2026-05-18
Monster
37-15-6, 80pts
Statistiques d’équipe
W1SéquenceW2
14-13-2Fiche domicile18-7-3
16-9-3Fiche visiteur19-8-3
6-3-110 derniers matchs6-2-2
2.49Buts par match 3.00
2.30Buts contre par match 3.00
30.17%Pourcentage en avantage numérique36.19%
68.98%Pourcentage en désavantage numérique67.15%
Comets
30-22-5, 65pts
2026-05-19
Rambo
33-17-8, 74pts
Statistiques d’équipe
W1SéquenceL2
14-13-2Fiche domicile15-9-4
16-9-3Fiche visiteur18-8-4
6-3-110 derniers matchs5-5-0
2.49Buts par match 2.86
2.30Buts contre par match 2.86
30.17%Pourcentage en avantage numérique31.58%
68.98%Pourcentage en désavantage numérique62.09%
Meneurs d'équipe
Cole SchwindtButs
Cole Schwindt
29
Cole SchwindtPasses
Cole Schwindt
22
Cole SchwindtPoints
Cole Schwindt
51
Nolan PatrickPlus/Moins
Nolan Patrick
8
Victoires
Sergei Murashov
27
Pourcentage d’arrêts
Clay Stevenson
0.922

Statistiques d’équipe
Buts pour
142
2.49 GFG
Tirs pour
1428
25.05 Avg
Pourcentage en avantage numérique
30.2%
73 GF
Début de zone offensive
38.5%
Buts contre
131
2.30 GAA
Tirs contre
1568
27.51 Avg
Pourcentage en désavantage numérique
69.0%%
58 GA
Début de la zone défensive
37.1%
Informations de l'équipe

Directeur généralStéphane Trudeau
EntraîneurAlain Nasreddine
DivisionNouvelle-Angleterre
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,895
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure21
Limite Contrat46 / 60
Espoirs36


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
1Cole Schwindt (R)X96.00695095835463514757484559465464050580252790,125$
2Saku MaenalanenX100.00613876825559504445434559467271050570321850,000$
3Braeden Bowman (R)X100.00462595794779864155454559494553050570223800,000$
4Jacob LucchiniX98.00584376854859394248444560466969050560311850,000$
5Lukas SedlakX100.00543777814656304247434463467571050550331850,000$
6Nolan PatrickX100.00563776835352254553444555466063050540281850,000$
7Jake LeschyshynX100.00604077824556334049444554465762050530271850,000$
8Cameron Butler (R)X100.00574290824752243845434363445160050520241800,000$
9Tobias RiederX100.00453077833050254040404150457567050500332875,000$
10Michael Dal ColleX100.00453077843050254040404150456662050500301850,000$
11Micheal FerlandX100.00453077793050254040404150457868050500341800,000$
12Rocco GrimaldiX99.00453077823050254040404150457567050500331850,000$
13Sven AndrighettoX100.00453077833050254040404150457567050500331850,000$
14Tyce Thompson (R)X100.00543986864250503643414151426061050500272800,000$
15Gavin BayreutherX97.00563995845758434949463358507268050580321850,000$
16Guillaume BriseboisX95.00604194875853254548453765616366050580291850,000$
17Kale ClagueX100.00573895845355324548463662506063050570281850,000$
18Maksymilian Szuber (R)X100.00574090857148254045433567365461050550244765,937$
19Will ButcherX100.00453095835050254548463252506964050540311850,000$
Rayé
1Tim Gettinger (R)X100.00452386814845233636364145416359050470282800,000$
2Brayden Tracey (R)X100.00452386854845233636364145415455050470251850,000$
3Nicolas Beaudin (R)X100.00412386865045253635322933276354050440272950,000$
MOYENNE D’ÉQUIPE99.3252348583465333414542405545646305053
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
1Sergei Murashov (R)100.0065356371696873666758683345050610224725,000$
2Clay Stevenson (R)100.0059317575737271667048575353050580272750,000$
Rayé
1Garret Sparks100.0060256565507070555530557781050500331850,000$
MOYENNE D’ÉQUIPE100.006130687064707162644560546005056
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alain Nasreddine70787880717275CAN5021,000,000$


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
1Cole SchwindtComets (VAN)RW48292251-8121094741966111314.80%33109222.75181634431550005999347.06%3067139000.9306110735
2Jacob LucchiniComets (VAN)C49192140-1242099911454510213.10%1698220.05131629281650001513345.47%11706844100.8112000443
3Lukas SedlakComets (VAN)C571215271475120104110236910.91%3097717.1561016201510001181346.74%7834523000.5524010031
4Braeden BowmanComets (VAN)RW571412262207284135446310.37%2898417.2747111410511241042050.75%677229000.5317000141
5Nolan PatrickComets (VAN)C5714112582758866106326113.21%1180914.204596280001390051.75%3156123000.6211010212
6Tyler TuckerCanucksD4761622-797551067656282910.71%76120725.6861016111570002120100%04764000.3600245012
7Gavin BayreutherComets (VAN)D542182006045765016294.00%49109220.242683104000279100%01940000.3700000020
8Zac JonesCanucksD3951419-9272545527221256.94%5396324.7041014111250002110200%02247100.3901113021
9Saku MaenalanenComets (VAN)RW571091946351097612045638.33%2996316.915389690003751042.11%766036000.3926010203
10Micheal FerlandComets (VAN)LW48711182595945355242612.73%1577016.045499117000172056.00%252217000.4700010024
11Rocco GrimaldiComets (VAN)LW4161016-530063396725438.96%1268616.743811996000002041.03%392918000.4700000121
12Tobias RiederComets (VAN)LW4321113-218048445114293.92%763714.830554560003320051.72%292321000.4100000110
13Jake LeschyshynComets (VAN)C573710-112075455429355.56%1361210.74000031121400045.92%1964515000.3300000000
14Michael Dal ColleComets (VAN)LW452810-328051535929363.39%1967114.911124600001220039.29%283214000.3000000002
15Guillaume BriseboisComets (VAN)D401786003851259134.00%2975818.96145390011060010%01744000.2101000000
16Dmitry SimashevCanucksD4717804019642716203.70%5697320.701343120000082100%01138000.1600000001
17Kale ClagueComets (VAN)D57077-17544531814110%3184514.83000241000027000%0629000.1700001000
18Cameron ButlerComets (VAN)RW48336-36038373815267.89%64258.8600007000000142.86%71318000.2800000110
19Tyce ThompsonComets (VAN)RW431230401314113109.09%52616.08011015000080041.67%3668000.2300000010
20Will ButcherComets (VAN)D46022-20062512650%1147110.2402212600009000%0213000.0800000000
21Sven AndrighettoComets (VAN)RW39011-380181079100%32335.98011013000000032.00%2551000.0900000000
22Maksymilian SzuberComets (VAN)D43011-140292914530%2350511.76011030000020000%0334000.0400000000
23Brayden TraceyComets (VAN)LW3000-100200000%1258.570000000004000%01000000000000
24Nicolas BeaudinComets (VAN)D3000-120100000%04615.500000200000000%00000000000000
Statistiques d’équipe totales ou en moyenne1068137215352-365051151317121614285138219.59%5561699515.91731131861801745235271019251146.52%3102680615200.417284109192726
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
1Sergei MurashovComets (VAN)54272250.9192.213262031201488804530.783235431033
2Clay StevensonComets (VAN)43000.9221.831972067737101.0003354100
Statistiques d’équipe totales ou en moyenne58302250.9192.193460231261565841632657571133


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
Braeden BowmanComets (VAN)RW222004-01-01CANYes205 Lbs6 ft1NoNoTrade2026-02-20NoNo32025-11-14FalseFalsePro & Farm800,000$258,065$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Brayden TraceyComets (VAN)LW252001-01-01CANYes177 Lbs6 ft0NoNoFree AgentNoNo12026-02-14FalseFalsePro & Farm850,000$274,194$0$0$No---------------------------Lien NHL
Cameron ButlerComets (VAN)RW242002-01-01CANYes210 Lbs6 ft4NoNoFree AgentNoNo12026-02-14FalseFalsePro & Farm800,000$258,065$0$0$No---------------------------
Clay StevensonComets (VAN)G271999-01-01CANYes195 Lbs6 ft4NoNoProspectNoNo22025-04-21FalseFalsePro & Farm750,000$241,935$0$0$No750,000$--------750,000$--------No--------
Cole SchwindtComets (VAN)RW252001-01-01CANYes203 Lbs6 ft2NoNoFree AgentNoNo22026-01-28FalseFalsePro & Farm790,125$254,879$0$0$No790,125$--------790,125$--------No--------Lien NHL
Garret SparksComets (VAN)G331993-01-01USANo201 Lbs6 ft3NoNoFree Agent2025-03-08NoNo12026-02-14FalseFalsePro & Farm850,000$274,194$0$0$No---------------------------Lien NHL
Gavin BayreutherComets (VAN)D321994-01-01USANo196 Lbs6 ft1NoNoFree AgentNoNo12026-02-14FalseFalsePro & Farm850,000$274,194$0$0$No---------------------------Lien NHL
Guillaume BriseboisComets (VAN)D291997-01-01CANNo175 Lbs6 ft2NoNoFree AgentNoNo12026-02-14FalseFalsePro & Farm850,000$274,194$0$0$No---------------------------Lien NHL
Jacob LucchiniComets (VAN)C311995-01-01CANNo180 Lbs6 ft0NoNoFree AgentNoNo12026-02-14FalseFalsePro & Farm850,000$274,194$0$0$No---------------------------Lien NHL
Jake LeschyshynComets (VAN)C271999-01-01USANo198 Lbs5 ft11NoNoFree AgentNoNo12026-02-15FalseFalsePro & Farm850,000$274,194$0$0$No---------------------------Lien NHL
Kale ClagueComets (VAN)D281998-01-01CANNo190 Lbs6 ft0NoNoFree AgentNoNo12026-02-14FalseFalsePro & Farm850,000$274,194$0$0$No---------------------------Lien NHL
Lukas SedlakComets (VAN)C331993-01-01CZENo205 Lbs6 ft0NoNoFree AgentNoNo12026-02-14FalseFalsePro & Farm850,000$274,194$0$0$No---------------------------Lien NHL
Maksymilian SzuberComets (VAN)D242002-01-01POLYes190 Lbs6 ft3NoNoFree AgentNoNo42026-01-28FalseFalsePro & Farm765,937$247,076$0$0$No765,937$765,937$765,937$------765,937$765,937$765,937$------NoNoNo------
Michael Dal ColleComets (VAN)LW301996-01-01CANNo195 Lbs6 ft3NoNoFree AgentNoNo12026-02-14FalseFalsePro & Farm850,000$274,194$0$0$No---------------------------Lien NHL
Micheal FerlandComets (VAN)LW341992-01-01CANNo217 Lbs6 ft1NoNoFree AgentNoNo12026-02-14FalseFalsePro & Farm800,000$258,065$0$0$No---------------------------Lien NHL
Nicolas BeaudinComets (VAN)D271999-01-01CANYes168 Lbs5 ft11NoNoFree AgentNoNo22025-02-17FalseFalsePro & Farm950,000$306,452$0$0$No950,000$--------950,000$--------No--------Lien NHL
Nolan PatrickComets (VAN)C281998-01-01CANNo201 Lbs6 ft2NoNoFree AgentNoNo12026-02-15FalseFalsePro & Farm850,000$274,194$0$0$No---------------------------Lien NHL
Rocco GrimaldiComets (VAN)LW331993-01-01USANo180 Lbs5 ft6NoNoFree AgentNoNo12026-02-14FalseFalsePro & Farm850,000$274,194$0$0$No---------------------------Lien NHL
Saku MaenalanenComets (VAN)RW321994-01-01FINNo214 Lbs6 ft4NoNoFree Agent2024-08-21NoNo12026-02-14FalseFalsePro & Farm850,000$274,194$0$0$No---------------------------Lien NHL
Sergei MurashovComets (VAN)G222004-01-01RUSYes185 Lbs6 ft2NoNoTrade2026-02-20NoNo42026-01-18FalseFalsePro & Farm725,000$233,871$0$0$No725,000$725,000$725,000$------725,000$725,000$725,000$------NoNoNo------
Sven AndrighettoComets (VAN)RW331993-01-01CHENo188 Lbs5 ft10NoNoFree AgentNoNo12026-02-14FalseFalsePro & Farm850,000$274,194$0$0$No---------------------------Lien NHL
Tim GettingerComets (VAN)LW281998-01-01USAYes220 Lbs6 ft6NoNoTrade2025-08-21NoNo22025-03-05FalseFalsePro & Farm800,000$258,065$0$0$No800,000$--------800,000$--------No--------
Tobias RiederComets (VAN)LW331993-01-01DEUNo189 Lbs5 ft11NoNoTrade2025-08-21NoNo22025-03-05FalseFalsePro & Farm875,000$282,258$0$0$No875,000$--------875,000$--------No--------Lien NHL
Tyce ThompsonComets (VAN)RW271999-01-01CANYes175 Lbs6 ft1NoNoFree AgentNoNo22025-02-17FalseFalsePro & Farm800,000$258,065$0$0$No800,000$--------800,000$--------No--------Lien NHL
Will ButcherComets (VAN)D311995-01-01USANo190 Lbs5 ft10NoNoFree AgentNoNo12026-02-14FalseFalsePro & Farm850,000$274,194$0$0$No---------------------------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2528.72194 Lbs6 ft11.56830,242$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rocco GrimaldiJacob LucchiniCole Schwindt40122
2Micheal FerlandLukas SedlakBraeden Bowman30122
3Michael Dal ColleNolan PatrickSaku Maenalanen20122
4Tobias RiederJake LeschyshynCameron Butler10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Guillaume BriseboisGavin Bayreuther40122
2Kale ClagueMaksymilian Szuber30122
3Will ButcherGuillaume Brisebois20122
4Gavin BayreutherKale Clague10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rocco GrimaldiJacob LucchiniCole Schwindt60122
2Micheal FerlandLukas SedlakBraeden Bowman40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Guillaume BriseboisGavin Bayreuther60122
2Kale ClagueMaksymilian Szuber40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cole SchwindtBraeden Bowman60122
2Saku MaenalanenJacob Lucchini40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Guillaume BriseboisGavin Bayreuther60122
2Kale ClagueMaksymilian Szuber40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cole Schwindt60122Guillaume BriseboisGavin Bayreuther60122
2Braeden Bowman40122Kale ClagueMaksymilian Szuber40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole SchwindtBraeden Bowman60122
2Saku MaenalanenJacob Lucchini40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Guillaume BriseboisGavin Bayreuther60122
2Kale ClagueMaksymilian Szuber40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rocco GrimaldiJacob LucchiniCole SchwindtGuillaume BriseboisGavin Bayreuther
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rocco GrimaldiJacob LucchiniCole SchwindtGuillaume BriseboisGavin Bayreuther
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sven Andrighetto, Tyce Thompson, Nolan PatrickSven Andrighetto, Tyce ThompsonNolan Patrick
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Will Butcher, Maksymilian Szuber, Guillaume BriseboisWill ButcherMaksymilian Szuber, Guillaume Brisebois
Tirs de pénalité
Cole Schwindt, Braeden Bowman, Saku Maenalanen, Jacob Lucchini, Lukas Sedlak
Gardien
#1 : Sergei Murashov, #2 : Clay Stevenson


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
TotalDomicile Visiteur
# 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 RI
13L1010000002-21010000002-20000000000000.0000000016477292133250956944239826400.00%4175.00%0532119444.56%567115249.22%34475645.50%112253811745901167580
2Armada3210000010551010000024-22200000081740.667101626011647729763325095694410030227515746.67%7271.43%0532119444.56%567115249.22%34475645.50%112253811745901167580
3B-Sens22000000817110000003031100000051441.000813210116477295333250956944541625316743.75%10100.00%0532119444.56%567115249.22%34475645.50%112253811745901167580
4Barons2010010026-41010000014-31000010012-110.250235001647729493325095694457281334400.00%3233.33%0532119444.56%567115249.22%34475645.50%112253811745901167580
5Bison3010001157-22010000125-31000001032130.5005611001647729573325095694410028196513215.38%7357.14%0532119444.56%567115249.22%34475645.50%112253811745901167580
6Chops11000000541110000005410000000000021.000561100164772924332509569442774315240.00%220.00%0532119444.56%567115249.22%34475645.50%112253811745901167580
7Heat 21100000660000000000002110000066020.500681400164772939332509569446820164110440.00%8275.00%2532119444.56%567115249.22%34475645.50%112253811745901167580
8Hobos11000000211110000002110000000000021.000246001647729263325095694425178196233.33%4175.00%0532119444.56%567115249.22%34475645.50%112253811745901167580
9IceHogs30100020761201000104401000001032140.667781500164772971332509569448824277614321.43%11281.82%0532119444.56%567115249.22%34475645.50%112253811745901167580
10Jarrets Noirs41300000910-1312000008711010000013-220.25091120001647729112332509569448042348713215.38%12558.33%0532119444.56%567115249.22%34475645.50%112253811745901167580
11Lions21001000734000000000002100100073441.000791600164772950332509569443913375012541.67%11372.73%0532119444.56%567115249.22%34475645.50%112253811745901167580
12Monster1010000014-31010000014-30000000000000.000123001647729323325095694429516242150.00%8362.50%0532119444.56%567115249.22%34475645.50%112253811745901167580
13National2110000057-21010000003-31100000054120.50059140016477295333250956944502518487342.86%9455.56%0532119444.56%567115249.22%34475645.50%112253811745901167580
14Phantoms 2110000056-11010000024-21100000032120.50056110016477295433250956944642626759222.22%8450.00%0532119444.56%567115249.22%34475645.50%112253811745901167580
15Rambo20100010440000000000002010001044020.5004370016477295233250956944692910505120.00%6183.33%0532119444.56%567115249.22%34475645.50%112253811745901167580
16Rapido2020000037-41010000024-21010000013-200.0003471016477295033250956944632624296116.67%12375.00%0532119444.56%567115249.22%34475645.50%112253811745901167580
17Red Bull1000000112-11000000112-10000000000010.5001120016477293733250956944286640400.00%3166.67%0532119444.56%567115249.22%34475645.50%112253811745901167580
18Rocket22000000844110000004221100000042241.000814220016477296633250956944511865210440.00%30100.00%0532119444.56%567115249.22%34475645.50%112253811745901167580
19Sea Dogs21100000431110000003121010000012-120.50047110016477296933250956944431011445120.00%3166.67%0532119444.56%567115249.22%34475645.50%112253811745901167580
20Silver Knights523000001011-1211000004313120000068-240.40010152510164772911433250956944150435310225728.00%19573.68%0532119444.56%567115249.22%34475645.50%112253811745901167580
21Spartans20000110550100000103211000010023-130.75056110016477294133250956944601517398337.50%6266.67%0532119444.56%567115249.22%34475645.50%112253811745901167580
22Steelheads2010100057-2100010005411010000003-320.500510150016477293733250956944401920508337.50%10370.00%0532119444.56%567115249.22%34475645.50%112253811745901167580
23Thunderbirds21100000440110000003121010000013-220.50047111016477294633250956944531832545240.00%6266.67%0532119444.56%567115249.22%34475645.50%112253811745901167580
24Trashers321000009451010000013-22200000081740.6679172601164772969332509569446721376215426.67%11190.91%0532119444.56%567115249.22%34475645.50%112253811745901167580
25Wild3200010011922200000010731000010012-150.83311203100164772980332509569448738205510440.00%10370.00%0532119444.56%567115249.22%34475645.50%112253811745901167580
26Wolf Pack22000000633110000003121100000032141.0006101600164772950332509569445323213611327.27%3233.33%0532119444.56%567115249.22%34475645.50%112253811745901167580
Total5723220235214213111291113010226972-32812901330735914650.570142215357331647729142833250956944156855650713172427330.17%1875868.98%2532119444.56%567115249.22%34475645.50%112253811745901167580
_Since Last GM Reset5723220235214213111291113010226972-32812901330735914650.570142215357331647729142833250956944156855650713172427330.17%1875868.98%2532119444.56%567115249.22%34475645.50%112253811745901167580
_Vs Conference26139002206855131476000103531412630021033249320.61568106174021647729680332509569446752712125941093229.36%772567.53%0532119444.56%567115249.22%34475645.50%112253811745901167580
_Vs Division1273001102534-9732000101320-7541001001214-2170.70825406510164772930233250956944321134123304491224.49%491863.27%0532119444.56%567115249.22%34475645.50%112253811745901167580

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5765W114221535714281568556507131733
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5723222352142131
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
29111310226972
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2812913307359
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2427330.17%1875868.98%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
332509569441647729
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
532119444.56%567115249.22%34475645.50%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
112253811745901167580


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 - 2026-02-2215Comets 2Rambo3LSommaire du match
3 - 2026-02-2325Hobos1Comets 2WSommaire du match
4 - 2026-02-2442IceHogs1Comets 2WXXSommaire du match
6 - 2026-02-2658Comets 3Heat 5LSommaire du match
7 - 2026-02-2770Jarrets Noirs2Comets 1LSommaire du match
9 - 2026-03-0185Comets 2Rambo1WXXSommaire du match
10 - 2026-03-0295Armada4Comets 2LSommaire du match
12 - 2026-03-04116Bison2Comets 1LXXSommaire du match
13 - 2026-03-05128Comets 4Trashers1WSommaire du match
15 - 2026-03-07140Comets 5Armada0WSommaire du match
16 - 2026-03-08148Comets 2Silver Knights4LSommaire du match
17 - 2026-03-09163Silver Knights2Comets 1LSommaire du match
19 - 2026-03-11179Jarrets Noirs3Comets 1LSommaire du match
20 - 2026-03-12194Comets 4Silver Knights2WSommaire du match
21 - 2026-03-13202Comets 1Sea Dogs2LSommaire du match
23 - 2026-03-15221Wild3Comets 4WSommaire du match
24 - 2026-03-16236Jarrets Noirs2Comets 6WSommaire du match
26 - 2026-03-18248Comets 2Spartans3LXSommaire du match
27 - 2026-03-19264Monster4Comets 1LSommaire du match
29 - 2026-03-21280Comets 4Rocket2WSommaire du match
30 - 2026-03-222943L2Comets 0LSommaire du match
32 - 2026-03-24311Bison3Comets 1LSommaire du match
33 - 2026-03-25317Comets 1Rapido3LSommaire du match
35 - 2026-03-27337Comets 1Wild2LXSommaire du match
36 - 2026-03-28349Spartans2Comets 3WXXSommaire du match
38 - 2026-03-30368National3Comets 0LSommaire du match
40 - 2026-04-01381Comets 3IceHogs2WXXSommaire du match
41 - 2026-04-02393Comets 0Steelheads3LSommaire du match
42 - 2026-04-03402Wolf Pack1Comets 3WSommaire du match
44 - 2026-04-05423Trashers3Comets 1LSommaire du match
45 - 2026-04-06434Comets 1Barons2LXSommaire du match
47 - 2026-04-08452Rapido4Comets 2LSommaire du match
49 - 2026-04-10465Comets 5Lions2WSommaire du match
50 - 2026-04-11477Barons4Comets 1LSommaire du match
51 - 2026-04-12486Comets 5B-Sens1WSommaire du match
53 - 2026-04-14505Wild4Comets 6WSommaire du match
54 - 2026-04-15517Comets 3Bison2WXXSommaire du match
55 - 2026-04-16531Comets 1Jarrets Noirs3LSommaire du match
57 - 2026-04-18542Thunderbirds1Comets 3WSommaire du match
58 - 2026-04-19556Comets 4Trashers0WSommaire du match
60 - 2026-04-21573Comets 3Wolf Pack2WSommaire du match
61 - 2026-04-22585B-Sens0Comets 3WSommaire du match
62 - 2026-04-23595Comets 5National4WSommaire du match
64 - 2026-04-25611Rocket2Comets 4WSommaire du match
65 - 2026-04-26623Comets 3Armada1WSommaire du match
67 - 2026-04-28638Silver Knights1Comets 3WSommaire du match
69 - 2026-04-30656Comets 1Thunderbirds3LSommaire du match
70 - 2026-05-01668IceHogs3Comets 2LSommaire du match
72 - 2026-05-03686Steelheads4Comets 5WXSommaire du match
73 - 2026-05-04698Comets 2Lions1WXSommaire du match
75 - 2026-05-06712Comets 0Silver Knights2LSommaire du match
76 - 2026-05-07720Sea Dogs1Comets 3WSommaire du match
78 - 2026-05-09741Phantoms 4Comets 2LSommaire du match
79 - 2026-05-10753Comets 3Phantoms 2WSommaire du match
81 - 2026-05-12771Chops4Comets 5WSommaire du match
83 - 2026-05-14789Red Bull2Comets 1LXXSommaire du match
84 - 2026-05-15797Comets 3Heat 1WSommaire du match
86 - 2026-05-17816Armada-Comets -
87 - 2026-05-18827Comets -Monster-
88 - 2026-05-19833Comets -Rambo-
90 - 2026-05-21854Comets -Thunderbirds-
91 - 2026-05-22862Lions-Comets -
93 - 2026-05-24879Chops-Comets -
96 - 2026-05-27899IceHogs-Comets -
97 - 2026-05-28910Comets -Chops-
98 - 2026-05-29926Comets -Heat -
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
100 - 2026-05-31940Rambo-Comets -
101 - 2026-06-01955Rambo-Comets -
102 - 2026-06-02966Comets -Jarrets Noirs-
103 - 2026-06-03976Comets -Hobos-
105 - 2026-06-05994Hobos-Comets -
107 - 2026-06-071009Heat -Comets -
108 - 2026-06-081017Comets -Griffins-
110 - 2026-06-101041Griffins-Comets -
112 - 2026-06-121053Comets -Hobos-
113 - 2026-06-131063Comets -Red Bull-
115 - 2026-06-151078Hobos-Comets -
116 - 2026-06-161093Comets -Sea Dogs-
117 - 2026-06-171102Comets -3L-
119 - 2026-06-191114Heat -Comets -
121 - 2026-06-211126Comets -Rocket-
123 - 2026-06-231144Armada-Comets -



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance55,19228,758
Assistance PCT95.16%99.17%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
-27 2895 - 96.49% 93,709$2,717,555$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,553,337$ 2,075,606$ 2,075,606$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
16,739$ 1,527,077$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,623,846$ 40 16,739$ 669,560$




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