Comets
GP: 82 | W: 56 | L: 21 | OTL: 5 | P: 117
GF: 378 | GA: 288 | PP%: 24.54% | PK%: 76.37%
DG: Mathieu Turcotte | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Reign
41-36-5, 87pts
3
FINAL
4 Comets
56-21-5, 117pts
Team Stats
W1StreakW2
23-17-1Home Record26-11-4
18-19-4Away Record30-10-1
4-4-2Last 10 Games9-1-0
3.72Buts par match 4.61
3.59Buts contre par match 3.51
21.37%Pourcentage en avantage numérique24.54%
75.00%Pourcentage en désavantage numérique76.37%
Comets
56-21-5, 117pts
4
FINAL
2 Condors
51-27-4, 106pts
Team Stats
W2StreakL2
26-11-4Home Record26-15-0
30-10-1Away Record25-12-4
9-1-0Last 10 Games6-4-0
4.61Buts par match 4.05
3.51Buts contre par match 3.01
24.54%Pourcentage en avantage numérique23.55%
76.37%Pourcentage en désavantage numérique77.50%
Meneurs d'équipe
Dennis HildebyVictoires
Dennis Hildeby
56
Mads SogaardPourcentage d’arrêts
Mads Sogaard
0.951

Statistiques d’équipe
Buts pour
378
4.61 GFG
Tirs pour
3717
45.33 Avg
Pourcentage en avantage numérique
24.5%
66 GF
Début de zone offensive
41.8%
Buts contre
288
3.51 GAA
Tirs contre
3170
38.66 Avg
Pourcentage en désavantage numérique
76.4%
56 GA
Début de la zone défensive
40.3%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,977
Billets de saison300


Information formation

Équipe Pro35
Équipe Mineure21
Limite contact 56 / 80
Espoirs118


Historique d'équipe

Saison actuelle56-21-5 (117PTS)
Historique111-43-12 (0.669%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)7-5
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
1Jiri Kulich (R)0X100.00653789737585836771626965686164075660211950,000$
2Adam Edstrom0X100.00865386629979806365606164626567075650242999,999$
3Vinni Lettieri0XX100.00703687656784856673646763667072075650303999,999$
4Kailer Yamamoto0XX100.006238856965808368726765637169680756502711,700,000$
5Nathan Bastian (R)0X100.00817682658777816358626164556971075650271900,000$
6Cole Guttman (R)0X100.00623783666388866472656362646669075640261950,000$
7Jonathan Lekkerimaki (R)0X100.00613595686786726659636762726366075640213950,000$
8Jakob Pelletier (R)0X100.00693592676381786671686362676465075640241925,000$
9Matthew Phillips (R)0XX100.00593495656080796367646061656769075630271900,000$
10Cam Lund (R)0X100.00613689657978616470616263656061075620213950,000$
11Gemel Smith (R)0X100.00624461607177646271645857607173075610313950,000$
12Kaleb Lawrence (R)0X100.00906961569967635558525963576264075610223950,000$
13Jack Thompson (R)0X100.00643792667584836530676362546365075650231950,000$
14Dylan McIlrath0X100.00868260629776745930665865497375075640333999,999$
15Kevin Gravel0X100.00763989618783845930645663497375075640331999,999$
16Tyler Tucker (R)0X100.00776661657881766430626168526567075640251868,000$
17Grant Hutton0X100.00744179608578796130635862507072075630303999,999$
18Cade Webber (R)0X100.00895381589863705630545261456466075610243950,000$
Rayé
1Isaac Ratcliffe (R)0X100.00834770569270745557545558566668075600261800,000$
2Jett Luchanko (R)0X100.00653975666881616372605064656062075600193950,000$
3Niko Huuhtanen (R)0X100.00744272598381695661575859566264075600223950,000$
4Sandis Vilmanis (R)0X100.00673794587675715761595655616361075600213950,000$
5Graham Slaggert (R)0X100.00603979566972815561565758556668075590261950,000$
6Robert Mastrosimone (R)0X100.00553879566477785460555752586466075580242950,000$
7Josh Filmon (R)0X100.00593694536963615255515054536163075560213950,000$
8Jack Millar0X100.00844291549366715330565060456567075600243999,999$
9Jake Livingstone (R)0X100.00754180578467845630555458466668075600262950,000$
10Corson Ceulemans (R)0X100.00714084588071745630555357456264075590221950,000$
11Jackson Edward (R)0X100.00703986547963655330565255456163075580213950,000$
12Jake Furlong (R)0X100.00663892557564715430535255466163075580213950,000$
13Joakim Ryan (R)0X100.00583793566964705430535255477274075580323950,000$
14Thomas Miller (R)0X100.00683891547764745330525155456668075580261950,000$
MOYENNE D’ÉQUIPE100.0070448361787575595159586056656707562
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
1Ville Husso100.00808176847978807978807972840756903013,000,000$
2Dennis Hildeby (R)100.0077868298767577767577766471075670241950,000$
Rayé
1Mads Sogaard100.0073807698727173727173726573075650242964,000$
MOYENNE D’ÉQUIPE100.007782789376757776757776677607567
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ben Simon66636475696580USA4621,000,000$


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
1Vinni LettieriComets (VAN)C/RW7550741243646021732248913434910.22%25163721.84111728842070111446057.35%253000121.51140006163
2Kailer YamamotoComets (VAN)LW/RW715071121301601342285061393589.88%50157422.17111930851950000609555.74%12200051.540000013510
3Kevin GravelComets (VAN)D822084104309552961521975114110.15%186201524.5881826962270112152010.00%000101.0314000748
4Jakob PelletierComets (VAN)LW8253481012528015418144611731211.88%27145217.718122071208000058361.26%11100021.3900000955
5Cole GuttmanComets (VAN)C6824366031120118189289782278.30%2490713.3500000000004255.00%117100011.3200000633
6Tyler TuckerComets (VAN)D531442561663516110514733909.52%91105019.825914541170001100200.00%000001.0700001226
7Nathan BastianComets (VAN)RW52203353-2395149102233651598.58%26113121.7556113413200011381152.85%12300000.9402001153
8Adam EdstromComets (VAN)C5319264533001191411893412310.05%1093917.733710421411014482154.52%127100000.9612000231
9Jack ThompsonComets (VAN)D3963137010038668229707.32%6997425.00291136118000096200.00%000000.7602000010
10Jiri KulichComets (VAN)RW232016362803975168359311.90%958025.2554940830001694053.23%18600001.2400000331
11Dylan McIlrathComets (VAN)D326172353601064553164711.32%4366320.741783096000162100.00%000000.6900000200
12Jonathan LekkerimakiComets (VAN)RW3411122313802951104389610.58%945913.5000000000001053.33%3000011.0000000110
13Matthew PhillipsComets (VAN)C/RW2991322820224878235511.54%1042314.6100000000001058.24%9100001.0400000002
14Cade WebberComets (VAN)D3651217123151071733121615.15%4751814.4200001000032000.00%000000.6600001001
15Grant HuttonComets (VAN)D213912106014211761217.65%2028513.580001400005000.00%000000.8400000001
16Cam LundComets (VAN)C823697006222792011.11%71141.390003120000210050.72%6900001.5800000000
17Kaleb LawrenceComets (VAN)C8213414014773714.29%7740.9100002000011036.84%1900001.0735000000
18Gemel SmithComets (VAN)C71022300529370.00%8901.28000770001670054.17%2400000.4400000000
19Isaac RatcliffeComets (VAN)LW4022-3401448230.00%17418.51011214000000066.67%1200000.5400000000
20Jett LuchankoComets (VAN)C4000100000000.00%151.280000000002000.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne99331453785122843820174217783082827218510.19%6701497415.0859109168585157312312910421355.90%5760002111.14619003524844
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
1Dennis HildebyComets (VAN)82562050.9103.4447932027530500420.85721820443
2Mads SogaardComets (VAN)30000.9511.7469002410000.0000016000
Statistiques d’équipe totales ou en moyenne85562050.9103.4248632027730910420.857218216443


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)C242000-10-12No241 Lbs6 ft7NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Cade WebberComets (VAN)D242001-01-05Yes212 Lbs6 ft7NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Cam LundComets (VAN)C212004-06-07Yes195 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Cole GuttmanComets (VAN)C261999-04-06Yes167 Lbs5 ft9NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Corson CeulemansComets (VAN)D222003-05-05Yes198 Lbs6 ft2NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Dennis HildebyComets (VAN)G242001-08-19Yes224 Lbs6 ft7NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Dylan McIlrathComets (VAN)D331992-04-20No240 Lbs6 ft5NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Gemel SmithComets (VAN)C311994-04-16Yes203 Lbs5 ft10NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Graham SlaggertComets (VAN)C261999-04-06Yes183 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Grant HuttonComets (VAN)D301995-07-25No210 Lbs6 ft3NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Isaac RatcliffeComets (VAN)LW261999-02-15Yes200 Lbs6 ft6NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien / Lien NHL
Jack MillarComets (VAN)D242000-11-30No220 Lbs6 ft5NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Jack ThompsonComets (VAN)D232002-04-19Yes189 Lbs6 ft1NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Jackson EdwardComets (VAN)D212004-02-27Yes193 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Jake FurlongComets (VAN)D212004-03-04Yes189 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Jake LivingstoneComets (VAN)D261999-04-16Yes205 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Jakob PelletierComets (VAN)LW242001-03-07Yes170 Lbs5 ft9NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Jett LuchankoComets (VAN)C192006-08-21Yes180 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Jiri KulichComets (VAN)RW212004-04-14Yes190 Lbs6 ft1NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Joakim RyanComets (VAN)D321993-06-17Yes185 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Jonathan LekkerimakiComets (VAN)RW212004-07-24Yes172 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Josh FilmonComets (VAN)LW212004-03-18Yes158 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Kailer Yamamoto (contrat à 1 volet)Comets (VAN)LW/RW271998-09-29No178 Lbs5 ft9NoNoNo1Pro & Farm1,700,000$1,700,000$1,700,000$0$NoLien / Lien NHL
Kaleb LawrenceComets (VAN)C222003-01-10Yes230 Lbs6 ft7NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Kevin GravelComets (VAN)D331992-03-06No205 Lbs6 ft4NoNoNo1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Mads SogaardComets (VAN)G242000-12-13No217 Lbs6 ft7NoNoNo2Pro & Farm964,000$964,000$0$0$No964,000$Lien / Lien NHL
Matthew PhillipsComets (VAN)C/RW271998-04-06Yes160 Lbs5 ft8NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Nathan BastianComets (VAN)RW271997-12-06Yes205 Lbs6 ft4NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Niko HuuhtanenComets (VAN)RW222003-06-26Yes198 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Robert MastrosimoneComets (VAN)LW242001-01-24Yes170 Lbs5 ft10NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Sandis VilmanisComets (VAN)LW212004-01-23Yes192 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Thomas MillerComets (VAN)D261999-03-06Yes181 Lbs6 ft2NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Tyler TuckerComets (VAN)D252000-03-01Yes204 Lbs6 ft1NoNoNo1Pro & Farm868,000$868,000$0$0$NoLien / Lien NHL
Ville Husso (contrat à 1 volet)Comets (VAN)G301995-02-06No205 Lbs6 ft3NoNoYes1Pro & Farm3,000,000$3,000,000$3,000,000$0$NoLien / Lien NHL
Vinni LettieriComets (VAN)C/RW301995-02-06No184 Lbs5 ft10NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3525.09196 Lbs6 ft22.031,028,771$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kailer YamamotoVinni Lettieri40122
2Jakob Pelletier30122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin Gravel40122
230122
320122
4Kevin Gravel10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kailer YamamotoVinni Lettieri60122
2Jakob Pelletier40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin Gravel60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Vinni Lettieri40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin Gravel60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Kevin Gravel60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Vinni Lettieri40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin Gravel60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kailer YamamotoVinni LettieriKevin Gravel
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kailer YamamotoVinni LettieriKevin Gravel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Cam Lund, Kaleb Lawrence, Gemel SmithCam Lund, Kaleb LawrenceGemel Smith
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , Vinni Lettieri, , Kailer Yamamoto
Gardien
#1 : Dennis Hildeby, #2 :
Lignes d’attaque personnalisées en prolongation
, , Vinni Lettieri, , Kailer Yamamoto, , , Jakob Pelletier, , , Cam Lund
Lignes de défense personnalisées en prolongation
, Kevin Gravel, , ,


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
1Admirals30300000712-51010000035-22020000047-300.0007132000147124971111511481279123970982528641317.69%13469.23%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
2Americans22000000844110000004131100000043141.000815230014712497118111481279123970823232534125.00%70100.00%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
3Barracuda431000002013722000000144102110000069-360.75020355500147124971117411481279123970146453012811327.27%14378.57%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
4Bears220000001055110000006331100000042241.0001020300014712497119911481279123970682244712541.67%20100.00%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
5Bruins22000000853110000005321100000032141.000814220014712497116611481279123970741511376116.67%10100.00%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
6Checkers22000000164121100000010281100000062441.000162945001471249711138114812791239706616849500.00%4175.00%11714336550.94%1597324349.24%735143751.15%1989142319605851019506
7Condors420011001916320001100101002200000096370.8751933520014712497111601148127912397017340309612325.00%13192.31%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
8Crunch2110000058-31010000015-41100000043120.50059140014712497118511481279123970873112529111.11%6350.00%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
9Devils220000001358110000009271100000043141.0001322350014712497118811481279123970692612514125.00%5180.00%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
10Eagles3210000015961010000035-222000000124840.6671525401014712497111301148127912397011636147312433.33%7185.71%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
11Firebirds43100000181442110000088022000000106460.75018365400147124971120311481279123970133372011912325.00%10550.00%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
12Griffins22000000196131100000094511000000102841.00019345300147124971115811481279123970672610597342.86%40100.00%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
13Gulls42101000191542200000011652010100089-160.75019315000147124971118711481279123970186581810413753.85%9188.89%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
14IceHogs312000001215-31100000054120200000711-420.3331221330014712497111391148127912397010128288014428.57%12558.33%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
15Marlies21000010972100000104311100000054141.00091625001471249711921148127912397076342453500.00%6350.00%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
16Monsters2110000058-31010000026-41100000032120.500510150014712497116511481279123970691712388337.50%6183.33%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
17Moose320001001183210001007611100000042250.833111930001471249711146114812791239701142914901119.09%7442.86%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
18Penguins20100001410-61000000145-11010000005-510.250459001471249711691148127912397078258561100.00%4175.00%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
19Phantoms2010000157-21010000023-11000000134-110.25059140014712497118811481279123970822718595120.00%9277.78%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
20Reign401010202119220001010972201000101212060.7502134550014712497111811148127912397017460299818633.33%12466.67%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
21Roadrunners330000001174220000006421100000053261.000111829001471249711111114812791239701052819649222.22%70100.00%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
22Rocket2110000012931010000045-11100000084420.50012223400147124971111511481279123970762310596350.00%4325.00%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
23Senators2020000039-61010000027-51010000012-100.000358001471249711611148127912397079201241400.00%6266.67%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
24Silver Knights320010002111101100000083521001000138561.000213556001471249711191114812791239701535114847228.57%7185.71%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
25Sound Tigers2100010010911000010045-11100000064230.7501016260014712497116611481279123970833010633133.33%5180.00%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
26Stars3300000017892200000012571100000053261.0001731480014712497111401148127912397010635186715640.00%8187.50%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
27Thunderbirds32000010206142100001012571100000081761.000203353001471249711173114812791239701223526868225.00%130100.00%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
28Wild3200100016115100010007612200000095461.000163147001471249711127114812791239701153824769111.11%12375.00%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
29Wolf Pack21000010862110000004311000001043141.000812200014712497118311481279123970792319527114.29%7271.43%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
30Wolves2020000069-31010000034-11010000035-200.00061016001471249711621148127912397087341453300.00%7357.14%01714336550.94%1597324349.24%735143751.15%1989142319605851019506
31Wranglers312000001013-32020000049-51100000064220.33310162610147124971112411481279123970106282080600.00%100100.00%11714336550.94%1597324349.24%735143751.15%1989142319605851019506
Total8246210535237828890412011033311921484441261002021186140461170.7133786591037201471249711371711481279123970317097454821312696624.54%2375676.37%21714336550.94%1597324349.24%735143751.15%1989142319605851019506
_Since Last GM Reset8246210535237828890412011033311921484441261002021186140461170.7133786591037201471249711371711481279123970317097454821312696624.54%2375676.37%21714336550.94%1597324349.24%735143751.15%1989142319605851019506
_Vs Conference50281205230237177602513503220119873225157020101189028740.740237411648201471249711230111481279123970194857333213091704526.47%1543378.57%11714336550.94%1597324349.24%735143751.15%1989142319605851019506
_Vs Division261360412012810127136302110644717137302010645410390.7501282203481014712497111220114812791239701071319161709792430.38%751580.00%11714336550.94%1597324349.24%735143751.15%1989142319605851019506

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82117W2378659103737173170974548213120
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8246215352378288
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120113331192148
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4126102021186140
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2696624.54%2375676.37%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
114812791239701471249711
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
1714336550.94%1597324349.24%735143751.15%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1989142319605851019506


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
3 - 2025-10-0919Wranglers5Comets2BLSommaire du match
5 - 2025-10-1135Comets5Condors4AWSommaire du match
7 - 2025-10-1346Thunderbirds4Comets10BWSommaire du match
10 - 2025-10-1668Comets5Stars3AWSommaire du match
11 - 2025-10-1774Comets5IceHogs6ALSommaire du match
13 - 2025-10-1989Comets4Bears2AWSommaire du match
15 - 2025-10-21101Comets0Penguins5ALSommaire du match
17 - 2025-10-23118Comets2Admirals4ALSommaire du match
19 - 2025-10-25136Rocket5Comets4BLSommaire du match
20 - 2025-10-26147Condors5Comets4BLXSommaire du match
22 - 2025-10-28163Wolf Pack3Comets4BWSommaire du match
24 - 2025-10-30172Comets8Thunderbirds1AWSommaire du match
26 - 2025-11-01190Comets4Wild2AWSommaire du match
28 - 2025-11-03201Comets2Admirals3ALSommaire du match
30 - 2025-11-05216IceHogs4Comets5BWSommaire du match
33 - 2025-11-08241Monsters6Comets2BLSommaire du match
34 - 2025-11-09250Eagles5Comets3BLSommaire du match
36 - 2025-11-11263Moose2Comets4BWSommaire du match
39 - 2025-11-14280Comets3Wolves5ALSommaire du match
41 - 2025-11-16297Comets4Crunch3AWSommaire du match
42 - 2025-11-17303Comets6Checkers2AWSommaire du match
45 - 2025-11-20328Stars2Comets7BWSommaire du match
48 - 2025-11-23352Wranglers4Comets2BLSommaire du match
51 - 2025-11-26374Comets4Gulls3AWXSommaire du match
53 - 2025-11-28385Comets2Barracuda6ALSommaire du match
54 - 2025-11-29401Comets6Reign7ALSommaire du match
57 - 2025-12-02417Comets6Eagles2AWSommaire du match
60 - 2025-12-05439Roadrunners2Comets3BWSommaire du match
61 - 2025-12-06451Wild6Comets7BWXSommaire du match
63 - 2025-12-08464Griffins4Comets9BWSommaire du match
66 - 2025-12-11492Americans1Comets4BWSommaire du match
69 - 2025-12-14508Comets4Devils3AWSommaire du match
71 - 2025-12-16523Comets4Wolf Pack3AWXXSommaire du match
74 - 2025-12-19545Comets6Sound Tigers4AWSommaire du match
75 - 2025-12-20555Comets3Bruins2AWSommaire du match
77 - 2025-12-22572Comets3Phantoms4ALXXSommaire du match
82 - 2025-12-27599Barracuda2Comets7BWSommaire du match
84 - 2025-12-29616Comets5Firebirds3AWSommaire du match
85 - 2025-12-30621Phantoms3Comets2BLSommaire du match
88 - 2026-01-02642Firebirds4Comets3BLSommaire du match
89 - 2026-01-03656Bruins3Comets5BWSommaire du match
92 - 2026-01-06667Comets4Americans3AWSommaire du match
94 - 2026-01-08684Comets10Griffins2AWSommaire du match
96 - 2026-01-10702Comets5Marlies4AWSommaire du match
98 - 2026-01-12720Comets8Rocket4AWSommaire du match
99 - 2026-01-13725Comets1Senators2ALSommaire du match
101 - 2026-01-15743Comets3Monsters2AWSommaire du match
103 - 2026-01-17764Condors5Comets6BWXSommaire du match
105 - 2026-01-19778Sound Tigers5Comets4BLXSommaire du match
107 - 2026-01-21793Bears3Comets6BWSommaire du match
109 - 2026-01-23807Devils2Comets9BWSommaire du match
111 - 2026-01-25822Penguins5Comets4BLXXSommaire du match
113 - 2026-01-27838Barracuda2Comets7BWSommaire du match
115 - 2026-01-29855Gulls3Comets5BWSommaire du match
117 - 2026-01-31869Marlies3Comets4BWXXSommaire du match
119 - 2026-02-02884Comets5Roadrunners3AWSommaire du match
121 - 2026-02-04901Comets8Silver Knights4AWSommaire du match
142 - 2026-02-25915Moose4Comets3BLXSommaire du match
145 - 2026-02-28946Comets5Firebirds3AWSommaire du match
147 - 2026-03-02956Stars3Comets5BWSommaire du match
149 - 2026-03-04972Wolves4Comets3BLSommaire du match
151 - 2026-03-06985Comets2IceHogs5ALSommaire du match
152 - 2026-03-07996Comets4Moose2AWSommaire du match
154 - 2026-03-091011Senators7Comets2BLSommaire du match
157 - 2026-03-121038Admirals5Comets3BLSommaire du match
159 - 2026-03-141055Firebirds4Comets5BWSommaire du match
162 - 2026-03-171074Checkers2Comets10BWSommaire du match
164 - 2026-03-191090Crunch5Comets1BLSommaire du match
166 - 2026-03-211107Thunderbirds1Comets2BWXXSommaire du match
169 - 2026-03-241134Gulls3Comets6BWSommaire du match
171 - 2026-03-261149Reign4Comets5BWXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281165Comets6Wranglers4AWSommaire du match
175 - 2026-03-301175Comets5Silver Knights4AWXSommaire du match
177 - 2026-04-011188Comets6Eagles2AWSommaire du match
178 - 2026-04-021199Comets5Wild3AWSommaire du match
180 - 2026-04-041216Roadrunners2Comets3BWSommaire du match
183 - 2026-04-071242Silver Knights3Comets8BWSommaire du match
185 - 2026-04-091260Comets6Reign5AWXXSommaire du match
187 - 2026-04-111275Comets4Barracuda3AWSommaire du match
188 - 2026-04-121280Comets4Gulls6ALSommaire du match
190 - 2026-04-141300Reign3Comets4BWXXSommaire du match
192 - 2026-04-161311Comets4Condors2AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance81,34840,725
Assistance PCT99.20%99.33%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-31 2977 - 99.25% 80,627$3,305,717$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,127,379$ 3,130,700$ 3,130,700$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,121,425$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,499,445$ 0 21,514$ 0$




Comets Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Jakob Pelletier1648284166353821236769011.88%42287917.5610182891011212448.22%21.1500
2Kevin Gravel153321181503713541522128211.35%296343722.461227391241123010.00%00.8714
3Nathan Bastian1344982131291364222475588.78%59282221.061120318601133247.39%10.9303
4Vinni Lettieri755074124364621732248910.22%25163721.841117288401116057.35%21.5114
5Kailer Yamamoto71507112130161342285069.88%50157422.171119308500009555.74%51.5400

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
1Dennis Hildeby91572050.9113.3850232028331890430.85721
2Mads Sogaard85542250.8993.23478110625725530101.0005

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
20248249220551032726463412410033101561183841251202200171146251153275889151613410087630481024103596529265278767320472786523.38%2685679.10%41539314348.97%1438290949.43%669140047.79%2017140818636041063539
20258246210535237828890412011033311921484441261002021186140461173786591037201471249711371711481279123970317097454821312696624.54%2375676.37%21714336550.94%1597324349.24%735143751.15%1989142319605851019506
Total Saison régulière164954301086270555215382442106641348266828251220422135728671232705124719523628122418417676521722314220499582217611221417854713123.95%50511277.82%63253650849.98%3035615249.33%1404283749.49%400628323823118920831046
Séries éliminatoires
20241275000004042-27430000026233532000001419-51440771171013141214171121201454042511080286511019.61%381268.42%019246141.65%23248248.13%8220340.39%2972002979717386
Total Séries éliminatoires1275000004042-27430000026233532000001419-51440771171013141214171121201454042511080286511019.61%381268.42%019246141.65%23248248.13%8220340.39%2972002979717386

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
1Adam Edstrom128311-2422222729.63%126221.90426900002043.20%00.8400
2Jiri Kulich122911241026454.44%228623.91022800010053.85%00.7700
3Aliaksei Protas1238110625332910.34%225821.53134700000149.82%00.8500
4Ryan Donato124711-102329527.69%428223.511231600001150.43%00.7800
5Jakob Pelletier124610108273511.43%023719.751231200002038.39%00.8400

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
1Mads Sogaard127410.9053.1672220384000010.0000
2Dennis Hildeby10000.8754.0944203240000.0000