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

Comets
GP: 55 | W: 33 | L: 18 | OTL: 4 | P: 70
GF: 256 | GA: 216 | PP%: 21.50% | PK%: 67.37%
DG: Matthieu Gauvin | Morale : 52 | Moyenne d’équipe : 66
Prochains matchs #757 vs Marlies

Centre de jeu
Comets
33-18-4, 70pts
5
2 Wranglers
24-31-3, 51pts
Team Stats
W4SéquenceL1
15-11-3Fiche domicile14-14-1
18-7-1Fiche domicile10-17-2
5-5-0Derniers 10 matchs7-1-2
4.65Buts par match 3.67
3.93Buts contre par match 4.43
21.50%Pourcentage en avantage numérique25.13%
67.37%Pourcentage en désavantage numérique76.50%
Comets
33-18-4, 70pts
8
6 Little Stars
22-30-8, 52pts
Team Stats
W4SéquenceL3
15-11-3Fiche domicile12-12-5
18-7-1Fiche domicile10-18-3
5-5-0Derniers 10 matchs2-7-1
4.65Buts par match 4.05
3.93Buts contre par match 5.00
21.50%Pourcentage en avantage numérique21.96%
67.37%Pourcentage en désavantage numérique76.72%
Marlies
32-21-6, 70pts
Jour 121
Comets
33-18-4, 70pts
Statistiques d’équipe
W1SéquenceW4
16-11-2Fiche domicile15-11-3
16-10-4Fiche visiteur18-7-1
7-2-110 derniers matchs5-5-0
4.69Buts par match 4.65
4.17Buts contre par match 4.65
20.56%Pourcentage en avantage numérique21.50%
79.19%Pourcentage en désavantage numérique67.37%
Comets
33-18-4, 70pts
Jour 123
Marlies
32-21-6, 70pts
Statistiques d’équipe
W4SéquenceW1
15-11-3Fiche domicile16-11-2
18-7-1Fiche visiteur16-10-4
5-5-010 derniers matchs7-2-1
4.65Buts par match 4.69
3.93Buts contre par match 4.69
21.50%Pourcentage en avantage numérique20.56%
67.37%Pourcentage en désavantage numérique79.19%
Little Stars
22-30-8, 52pts
Jour 124
Comets
33-18-4, 70pts
Statistiques d’équipe
L3SéquenceW4
12-12-5Fiche domicile15-11-3
10-18-3Fiche visiteur18-7-1
2-7-110 derniers matchs5-5-0
4.05Buts par match 4.65
5.00Buts contre par match 4.65
21.96%Pourcentage en avantage numérique21.50%
76.72%Pourcentage en désavantage numérique67.37%
Meneurs d'équipe
Buts
Brett Seney
42
Passes
Brett Seney
56
Points
Brett Seney
98
Plus/Moins
Conor Garland
17
Victoires
Akira Schmid
16
Pourcentage d’arrêts
Akira Schmid
0.878

Statistiques d’équipe
Buts pour
256
4.65 GFG
Tirs pour
1839
33.44 Avg
Pourcentage en avantage numérique
21.5%
43 GF
Début de zone offensive
36.9%
Buts contre
216
3.93 GAA
Tirs contre
1791
32.56 Avg
Pourcentage en désavantage numérique
67.4%%
31 GA
Début de la zone défensive
34.0%
Informations de l'équipe

Directeur généralMatthieu Gauvin
EntraîneurMike Keenan
DivisionGunther-Sabetzki
ConférenceLouis-Magnus
CapitaineBrett Seney
Assistant #1
Assistant #2Alexandre Texier


Informations de l’aréna

Capacité3,000
Assistance2,776
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure21
Limite contact 48 / 250
Espoirs0


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
1Patrik Laine (R)X100.0068288382808079807073876280585261337502222,500,000$
2Brett Seney (R) (C)X100.006435818470767181697483687464613855740241950,000$
3Conor Garland (R)X100.007850818183678076657779696660544064740241950,000$
4Joonas DonskoiX100.006925757468768076798371657375662965720281950,000$
5Brett Howden (R)X100.006630887569857172757972726852475052720222700,000$
6Alexandre Texier (R) (A)X100.006330818065766878707475667846475765710212800,000$
7Mason MarchmentX100.007233866975717771727185607261534152710251600,000$
8Cristiano Digiacinto (R)X100.006237837563737160697461756048483365670241600,000$
9Eeli Tolvanen (R)X100.006323876968697867626082657344465452670213600,000$
10Nicolas Roy (R)X100.005942767367636474726867596548483965660231750,000$
11David Kase (R)X100.006733717064657063696772607047483765650231900,000$
12Alex Turcotte (R)X100.006349726664686163686766616941416655630191500,000$
13Jake Bean (R)X100.006534798367737481527969765359484961720222750,000$
14Wyatt Kalynuk (R)X100.006229827766628085507458775556525154700232800,000$
15Marcus Bjork (R)X100.006541787766747372506859776150505457690233700,000$
16Vincent Desharnais (R)X100.006942696867776755486560724252513265660241500,000$
17Filip Roos (R)X100.006739736262676171526262655844466165630214500,000$
18Ben Meehan (R)X100.005022696947426274377055543543416553580192500,000$
19Thimo Nickl (R)X100.005831626150635761355648584140406737560181500,000$
Rayé
1Nikita Nesterenko (R)X100.005337775174636457686177385841416517590191500,000$
2Cross Hanas (R)X100.004936627354664467605855536740406819580183950,000$
3Graeme Clarke (R)X100.005343766855635857646056575841415920580191500,000$
4Daniel Torgersson (R)X100.005728675466635359535567354940406420550182500,000$
5Christian WolaninX85.917633877468697974507882695969564051740251950,000$
MOYENNE D’ÉQUIPE99.41633577716669687061696963625148515066
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
1Juuse Saros98.00667880716979806772827464524056730251850,000$
2Akira Schmid100.00806266837365627266628145456579670204600,000$
Rayé
1Matthew Thiessen100.00624153686749576057515442425420570202500,000$
MOYENNE D’ÉQUIPE99.3369606674706466666565705046535266
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Keenan86748471997343CAN674800,000$


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
1Brett SeneyComets (N.J)C534256981316066772327512618.10%31108820.54151328341640001345149.63%15055814051.8002000961
2Conor GarlandComets (N.J)RW533749861716095732267412516.37%23108820.5491120401671011194156.45%625020201.5801000493
3Alexandre TexierComets (N.J)LW5521406178079651595611313.21%21100718.332810141500001282142.25%713724011.2102000505
4Brett HowdenComets (N.J)C511729464407488106347716.04%3195118.67257131350111652047.78%9002016010.9700000523
5Mason MarchmentComets (N.J)LW53222042180765592334923.91%23104619.7537107162000046160.32%631315000.8011000008
6Christian WolaninComets (N.J)D46102939920799283332612.05%72116225.2836911157000028200%02529000.6700000033
7Joonas DonskoiComets (N.J)RW55181937-6407453129277613.95%1672013.100111291122273343.18%442810011.0301000211
8Nicolas RoyComets (N.J)C55142034820415199285714.14%1167212.221122210110171050.40%375199011.0100000202
9Patrik LaineComets (N.J)RW30141731-1560372689285315.73%1258219.41481218870000223038.67%751613001.0600000112
10Jake BeanComets (N.J)D5552530-7395599611039484.55%97126022.9315614194011055110%02537000.4800000001
11Cristiano DigiacintoComets (N.J)LW55141125900473775284418.67%2059310.80000052023680046.43%281613000.8400000020
12Wyatt KalynukComets (N.J)D5232023-316058657724363.90%56107820.730338136022066000%02130000.4300000002
13Eeli TolvanenComets (N.J)LW499101930051295483916.67%1358812.02000010000061041.67%242012000.6500000110
14David KaseComets (N.J)RW55981711100543677234411.69%95029.1300019000000046.15%13153000.6800000011
15Marcus BjorkComets (N.J)D4911617716056564026262.50%4796619.721235119000050000%0832000.3500000010
16Vincent DesharnaisComets (N.J)D55015151720049543125200%5589116.21011031000043000%0726000.3400000011
17Alex TurcotteComets (N.J)C555101598055285117369.80%164938.9800003000010142.64%19777000.6100000000
18Filip RoosComets (N.J)D55012121518048553814130%4482515.01000117000023000%0126000.2900000000
19Ben MeehanComets (N.J)D45055178011119420%133638.090000400008000%048000.2700000000
20Cross HanasComets (N.J)LW81233206044525.00%0708.810000000002000%203000.8500000000
21Nikita NesterenkoComets (N.J)C9123-1002341025.00%2647.1300001000000055.00%2000000.9300000000
22Thimo NicklComets (N.J)D4000220311000%24411.200000000002000%00000000000000
23Graeme ClarkeComets (N.J)RW9000100434240%1677.480000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne10062434156581212055112410541790603101913.58%6151613316.04417111216916094610957830948.56%3379390347290.8217000292833
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
1Akira SchmidComets (N.J)2716620.8783.7713702086706379300.83362332000
2Juuse SarosComets (N.J)208710.8514.8998240805382700100194000
Statistiques d’équipe totales ou en moyenne47241330.8674.2423526016612446493164236000


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 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
Akira SchmidComets (N.J)G202000-01-01CHENo205 Lbs6 ft5NoNoFree AgentNoNo42025-09-17FalseFalsePro & Farm600,000$173,964$0$0$No700,000$800,000$900,000$------700,000$800,000$900,000$------NoNoNo------Lien
Alex TurcotteComets (N.J)C192001-01-01USAYes185 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Alexandre TexierComets (N.J)LW211999-01-01FRAYes186 Lbs6 ft1NoNoFree AgentNoNo22024-08-21FalseFalsePro & Farm800,000$231,953$0$0$No900,000$--------700,000$--------No--------Lien
Ben MeehanComets (N.J)D192001-01-01USAYes188 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Brett HowdenComets (N.J)C221998-01-01CANYes194 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm700,000$202,959$0$0$No700,000$--------700,000$--------No--------Lien
Brett SeneyComets (N.J)C241996-01-01CANYes156 Lbs5 ft9NoNoFree AgentNoNo12025-09-17FalseFalsePro & Farm950,000$275,444$0$0$No---------------------------Lien
Christian Wolanin (sur la masse salariale)Comets (N.J)D251995-01-01CANNo185 Lbs6 ft2NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm950,000$275,444$0$0$Yes---------------------------Lien
Conor GarlandComets (N.J)RW241996-01-01USAYes165 Lbs5 ft10NoNoFree AgentNoNo12025-09-17FalseFalsePro & Farm950,000$275,444$0$0$No---------------------------Lien
Cristiano DigiacintoComets (N.J)LW241996-01-01CANYes186 Lbs5 ft11NoNoFree AgentNoNo12025-09-17FalseFalsePro & Farm600,000$173,964$0$0$No---------------------------Lien
Cross HanasComets (N.J)LW182002-01-01USAYes167 Lbs6 ft1NoNoFree AgentNoNo32025-10-26FalseFalsePro & Farm950,000$275,444$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Daniel TorgerssonComets (N.J)LW182002-01-01SWEYes205 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
David KaseComets (N.J)RW231997-01-01CZEYes169 Lbs5 ft11NoNoFree AgentNoNo12024-10-06FalseFalsePro & Farm900,000$260,947$0$0$No---------------------------Lien
Eeli TolvanenComets (N.J)LW211999-01-01FINYes191 Lbs5 ft10NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm600,000$173,964$0$0$No700,000$900,000$-------500,000$500,000$-------NoNo-------Lien
Filip RoosComets (N.J)D211999-01-01SWEYes190 Lbs6 ft3NoNoFree AgentNoNo42025-09-17FalseFalsePro & Farm500,000$144,970$0$0$No500,000$600,000$600,000$------500,000$600,000$600,000$------NoNoNo------Lien
Graeme ClarkeComets (N.J)RW192001-01-01USAYes174 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Jake BeanComets (N.J)D221998-01-01CANYes187 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$217,456$0$0$No750,000$--------750,000$--------No--------Lien
Joonas DonskoiComets (N.J)RW281992-01-01FINNo180 Lbs6 ft0NoNoFree AgentNoNo12025-09-17FalseFalsePro & Farm950,000$275,444$0$0$No---------------------------Lien
Juuse SarosComets (N.J)G251995-01-01FINNo185 Lbs5 ft11NoNoTrade2026-02-27NoNo1FalseFalsePro & Farm850,000$246,450$0$0$No---------------------------Lien
Marcus BjorkComets (N.J)D231997-01-01SWEYes203 Lbs6 ft3NoNoFree AgentNoNo32025-09-17FalseFalsePro & Farm700,000$202,959$0$0$No800,000$900,000$-------800,000$900,000$-------NoNo-------Lien
Mason MarchmentComets (N.J)LW251995-01-01CANNo209 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm600,000$173,964$0$0$No---------------------------Lien
Matthew ThiessenComets (N.J)G202000-01-01CANNo208 Lbs6 ft2NoNoFree AgentNoNo22025-10-28FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------Lien
Nicolas RoyComets (N.J)C231997-01-01CANYes200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$217,456$0$0$No---------------------------Lien
Nikita NesterenkoComets (N.J)C192001-01-01USAYes183 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Patrik LaineComets (N.J)RW221998-01-01FINYes205 Lbs6 ft4NoNoTrade2026-02-27NoNo2FalseFalsePro & Farm2,500,000$724,852$0$0$No3,500,000$--------900,000$--------No--------Lien
Thimo NicklComets (N.J)D182002-01-01AUTYes176 Lbs6 ft2NoNoFree AgentNoNo12026-02-22FalseFalsePro & Farm500,000$144,970$0$0$No---------500,000$-----------------
Vincent DesharnaisComets (N.J)D241996-01-01CANYes227 Lbs6 ft7NoNoFree AgentNoNo12025-09-17FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Wyatt KalynukComets (N.J)D231997-01-01CANYes180 Lbs6 ft1NoNoFree AgentNoNo22024-08-21FalseFalsePro & Farm800,000$231,953$0$0$No900,000$--------700,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2721.85188 Lbs6 ft11.74755,556$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason MarchmentBrett SeneyConor Garland36014
2Alexandre TexierBrett HowdenPatrik Laine34014
3Eeli TolvanenAlex TurcotteJoonas Donskoi20014
4Cristiano DigiacintoNicolas RoyDavid Kase10014
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanWyatt Kalynuk35041
2Marcus BjorkVincent Desharnais30041
3Filip RoosBen Meehan25041
4Jake BeanThimo Nickl10041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexandre TexierBrett HowdenPatrik Laine60005
2Mason MarchmentBrett SeneyConor Garland40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanWyatt Kalynuk60023
2Marcus BjorkVincent Desharnais40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joonas DonskoiCristiano Digiacinto60041
2Brett HowdenConor Garland40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanWyatt Kalynuk60050
2Marcus BjorkVincent Desharnais40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brett Seney60041Jake BeanWyatt Kalynuk60050
2Brett Howden40041Marcus BjorkVincent Desharnais40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brett SeneyAlexandre Texier60023
2Brett HowdenMason Marchment40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanWyatt Kalynuk60032
2Marcus BjorkVincent Desharnais40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexandre TexierBrett SeneyPatrik LaineJake BeanWyatt Kalynuk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cristiano DigiacintoBrett HowdenConor GarlandJake BeanWyatt Kalynuk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brett Howden, Alexandre Texier, Mason MarchmentBrett Howden, Alexandre TexierBrett Howden
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vincent Desharnais, Thimo Nickl, Ben MeehanVincent DesharnaisVincent Desharnais, Thimo Nickl
Tirs de pénalité
Patrik Laine, Conor Garland, Brett Seney, Joonas Donskoi, Brett Howden
Gardien
#1 : Akira Schmid, #2 : Juuse Saros, #3 : 0
Lignes d’attaque personnalisées en prolongation
Patrik Laine, Conor Garland, Brett Seney, Alexandre Texier, Brett Howden, Joonas Donskoi, Mason Marchment, Cristiano Digiacinto, Eeli Tolvanen, Nicolas Roy
Lignes de défense personnalisées en prolongation
Jake Bean, Wyatt Kalynuk, Marcus Bjork, Vincent Desharnais, Filip Roos


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
1Admirals321000001718-1211000001013-31100000075240.667173249008497724113674626535131163214609444.44%7442.86%0601122948.90%547113248.32%48696850.21%12317341121479959494
2Americans210001009811000010034-11100000064230.750916250084977246167462653513542264010220.00%3166.67%0601122948.90%547113248.32%48696850.21%12317341121479959494
3Barracuda211000009721010000045-11100000052320.500914230084977246267462653513601912504125.00%6266.67%0601122948.90%547113248.32%48696850.21%12317341121479959494
4Bears21100000990110000008441010000015-420.50091423008497724716746265351364158439111.11%4175.00%0601122948.90%547113248.32%48696850.21%12317341121479959494
5Canucks220000001293110000007521100000054141.000122133008497724646746265351377208338112.50%4175.00%0601122948.90%547113248.32%48696850.21%12317341121479959494
6Checkers22000000954220000009540000000000041.000916250084977246867462653513612510419111.11%5340.00%0601122948.90%547113248.32%48696850.21%12317341121479959494
7Condors1000000167-11000000167-10000000000010.5006915008497724426746265351341228163133.33%4175.00%0601122948.90%547113248.32%48696850.21%12317341121479959494
8Crunch411011001819-1301011001416-21100000043150.6251827450084977241326746265351314252147213215.38%7271.43%0601122948.90%547113248.32%48696850.21%12317341121479959494
9Eagles321000001514121100000910-11100000064240.6671523381084977248867462653513109518727342.86%4175.00%1601122948.90%547113248.32%48696850.21%12317341121479959494
10Griffins20200000611-520200000611-50000000000000.00061117008497724666746265351368244418225.00%220.00%0601122948.90%547113248.32%48696850.21%12317341121479959494
11Gulls312000001013-31010000024-22110000089-120.33310172700849772410367462653513923065816212.50%3166.67%0601122948.90%547113248.32%48696850.21%12317341121479959494
12Icehogs1010000035-21010000035-20000000000000.00034700849772447674626535133311220500.00%10100.00%0601122948.90%547113248.32%48696850.21%12317341121479959494
13Islander1010000034-1000000000001010000034-100.00036900849772436674626535133613419300.00%2150.00%0601122948.90%547113248.32%48696850.21%12317341121479959494
14Little Stars11000000862000000000001100000086221.0008152300849772436674626535133412221300.00%10100.00%0601122948.90%547113248.32%48696850.21%12317341121479959494
15Marlies2200000013310110000007161100000062441.000131932008497724756746265351359228398450.00%40100.00%0601122948.90%547113248.32%48696850.21%12317341121479959494
16Moose1010000013-2000000000001010000013-200.00012300849772414674626535132691026200.00%5180.00%0601122948.90%547113248.32%48696850.21%12317341121479959494
17Penguins43100000191271100000074332100000128460.7501930490084977241426746265351312940109616531.25%5260.00%0601122948.90%547113248.32%48696850.21%12317341121479959494
18Punishers11000000422000000000001100000042221.00047110084977243167462653513259424200.00%10100.00%0601122948.90%547113248.32%48696850.21%12317341121479959494
19Roadrunners21100000880000000000002110000088020.50081321008497724566746265351374188395240.00%4175.00%1601122948.90%547113248.32%48696850.21%12317341121479959494
20Rockets43100000191182200000011652110000085360.7501935540084977241236746265351311231259712433.33%6183.33%0601122948.90%547113248.32%48696850.21%12317341121479959494
21Senators210000101183100000107611100000042241.00011193000849772468674626535137121640700.00%3233.33%0601122948.90%547113248.32%48696850.21%12317341121479959494
22Thunderbirds431000002191221100000651220000001541160.750213253008497724136674626535131164389316318.75%40100.00%1601122948.90%547113248.32%48696850.21%12317341121479959494
23Wolfpack1010000046-21010000046-20000000000000.00045900849772439674626535133884224250.00%220.00%0601122948.90%547113248.32%48696850.21%12317341121479959494
24Wranglers521011002219331101000141312100010086270.70022375910849772416667462653513154751810521314.29%8275.00%1601122948.90%547113248.32%48696850.21%12317341121479959494
Total553018023112562164029121102211137130726187001001198633700.636256424680208497724183967462653513179162420711672004321.50%953167.37%4601122948.90%547113248.32%48696850.21%12317341121479959494
_Since Last GM Reset553018023112562164029121102211137130726187001001198633700.636256424680208497724183967462653513179162420711672004321.50%953167.37%4601122948.90%547113248.32%48696850.21%12317341121479959494
_Vs Conference321711022001441202419880210087816139300100573918400.62514423437820849772410646746265351310243771196931182924.58%521865.38%2601122948.90%547113248.32%48696850.21%12317341121479959494
_Vs Division13630220059491083202100393545310010020146180.6925999158108497724421674626535134081585727446919.57%21576.19%1601122948.90%547113248.32%48696850.21%12317341121479959494

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5570W425642468018391791624207116720
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5530182311256216
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2912112211137130
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
26187010011986
Derniers 10 matchs
WLOTWOTL SOWSOL
451000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2004321.50%953167.37%4
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
674626535138497724
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
601122948.90%547113248.32%48696850.21%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12317341121479959494


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
214Rockets2Comets4WSommaire du match
532Admirals6Comets8WSommaire du match
854Crunch7Comets6LXSommaire du match
1064Comets4Crunch3WSommaire du match
1275Comets5Penguins3WSommaire du match
1384Wranglers6Comets4LSommaire du match
16100Comets3Wranglers4LXSommaire du match
17108Eagles6Comets4LSommaire du match
19120Comets7Rockets1WSommaire du match
21135Rockets4Comets7WSommaire du match
25157Crunch4Comets5WXSommaire du match
27172Comets5Penguins1WSommaire du match
29178Comets4Gulls7LSommaire du match
30185Thunderbirds2Comets4WSommaire du match
35211Penguins4Comets7WSommaire du match
38232Comets7Roadrunners3WSommaire du match
39237Americans4Comets3LXSommaire du match
42253Comets5Canucks4WSommaire du match
43264Wolfpack6Comets4LSommaire du match
46281Comets4Gulls2WSommaire du match
47289Bears4Comets8WR1Sommaire du match
50307Comets4Senators2WSommaire du match
52316Griffins5Comets3LSommaire du match
55333Comets2Penguins4LSommaire du match
56342Gulls4Comets2LSommaire du match
59363Comets7Admirals5WSommaire du match
60367Canucks5Comets7WSommaire du match
63391Senators6Comets7WXXSommaire du match
65405Comets3Islander4LR1Sommaire du match
67418Condors7Comets6LXXSommaire du match
68426Comets4Punishers2WSommaire du match
71444Checkers2Comets5WSommaire du match
73461Comets6Americans4WSommaire du match
75469Griffins6Comets3LSommaire du match
79495Crunch5Comets3LSommaire du match
81507Comets6Marlies2WSommaire du match
83521Marlies1Comets7WSommaire du match
85533Comets1Bears5LR1Sommaire du match
87541Comets1Roadrunners5LSommaire du match
88549Wranglers3Comets5WSommaire du match
91572Checkers3Comets4WSommaire du match
93585Comets6Eagles4WSommaire du match
95599Thunderbirds3Comets2LSommaire du match
97608Comets10Thunderbirds1WSommaire du match
99622Comets5Barracuda2WSommaire du match
100626Icehogs5Comets3LSommaire du match
103650Comets1Moose3LSommaire du match
104655Admirals7Comets2LSommaire du match
107677Barracuda5Comets4LSommaire du match
109687Comets1Rockets4LSommaire du match
111703Wranglers4Comets5WXSommaire du match
113711Comets5Thunderbirds3WSommaire du match
116729Eagles4Comets5WSommaire du match
118744Comets5Wranglers2WSommaire du match
120754Comets8Little Stars6WSommaire du match
121757Marlies-Comets-
123778Comets-Marlies-
124784Little Stars-Comets-
126798Comets-Wolfpack-
129809Islander-Comets-
131822Comets-Wranglers-
133835Admirals-Comets-
136858Comets-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
137860Barracuda-Comets-
139876Comets-Icehogs-
140885Comets-Condors-
141889Roadrunners-Comets-
145912Rockets-Comets-
147921Comets-Checkers-
149937Moose-Comets-
150945Comets-Rockets-
154963Punishers-Comets-
155971Comets-Wolfpack-
156976Comets-Griffins-
159990Comets-Firebirds-
160993Comets-Crunch-
1611001Firebirds-Comets-
1631016Comets-Firebirds-
1641018Comets-Crunch-
1671039Firebirds-Comets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance54,06826,436
Assistance PCT93.22%91.16%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 2776 - 92.53% 175,321$5,084,310$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,989,849$ 4,290,000$ 4,290,000$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
24,822$ 1,415,743$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,928,531$ 49 30,118$ 1,475,782$




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