Comets
GP: 73 | W: 50 | L: 18 | OTL: 5 | P: 105
GF: 293 | GA: 237 | PP%: 22.71% | PK%: 79.15%
DG: Mathieu Turcotte | Morale : 75 | Moyenne d’équipe : 63
Prochain matchs #1172 vs Moose
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Centre de jeu
Comets
50-18-5, 105pts
4
FINAL
2 Sound Tigers
33-33-6, 72pts
Team Stats
W4StreakW1
24-8-3Home Record18-16-2
26-10-2Away Record15-17-4
8-0-2Last 10 Games5-2-3
4.01Buts par match 3.25
3.25Buts contre par match 3.51
22.71%Pourcentage en avantage numérique18.86%
79.15%Pourcentage en désavantage numérique76.00%
Comets
50-18-5, 105pts
6
FINAL
2 Monsters
36-32-4, 76pts
Team Stats
W4StreakL3
24-8-3Home Record18-16-1
26-10-2Away Record18-16-3
8-0-2Last 10 Games3-7-0
4.01Buts par match 3.58
3.25Buts contre par match 3.68
22.71%Pourcentage en avantage numérique21.86%
79.15%Pourcentage en désavantage numérique78.84%
Comets
50-18-5, 105pts
2025-03-30
Moose
27-41-5, 59pts
Statistiques d’équipe
W4SéquenceL12
24-8-3Fiche domicile14-20-3
26-10-2Fiche visiteur13-21-2
8-0-210 derniers matchs0-10-0
4.01Buts par match 3.36
3.25Buts contre par match 3.90
22.71%Pourcentage en avantage numérique20.00%
79.15%Pourcentage en désavantage numérique76.23%
Firebirds
27-39-8, 62pts
2025-04-02
Comets
50-18-5, 105pts
Statistiques d’équipe
L2SéquenceW4
17-19-2Fiche domicile24-8-3
10-20-6Fiche visiteur26-10-2
4-3-310 derniers matchs8-0-2
3.01Buts par match 4.01
3.66Buts contre par match 3.25
19.91%Pourcentage en avantage numérique22.71%
78.32%Pourcentage en désavantage numérique79.15%
Gulls
33-31-8, 74pts
2025-04-05
Comets
50-18-5, 105pts
Statistiques d’équipe
W2SéquenceW4
19-11-6Fiche domicile24-8-3
14-20-2Fiche visiteur26-10-2
5-3-210 derniers matchs8-0-2
3.50Buts par match 4.01
3.65Buts contre par match 3.25
20.59%Pourcentage en avantage numérique22.71%
75.00%Pourcentage en désavantage numérique79.15%
Meneurs d'équipe
Mads SogaardVictoires
Mads Sogaard
49
Dennis HildebyPourcentage d’arrêts
Dennis Hildeby
0.938

Statistiques d’équipe
Buts pour
293
4.01 GFG
Tirs pour
2735
37.47 Avg
Pourcentage en avantage numérique
22.7%
57 GF
Début de zone offensive
42.6%
Buts contre
237
3.25 GAA
Tirs contre
2335
31.99 Avg
Pourcentage en désavantage numérique
79.1%
49 GA
Début de la zone défensive
38.7%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,979
Billets de saison300


Information formation

Équipe Pro27
Équipe Mineure21
Limite contact 48 / 80
Espoirs123


Historique d'équipe

Saison actuelle50-18-5 (105PTS)
Historique958-627-155 (0.551%)
Apparitions séries éliminatoires 13
Historique séries éliminatoires (W-L)62-73
Stanley Cup0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
#
Nom du joueur
#
C
L
R
D
CON
CK
FG
DI
SK
ST
EN
DU
PH
FO
PA
SC
DF
PS
EX
LD
PO
MO
OV
TA
SP
Âge
Contrat
Salaire moyen
1JJ Peterka (R)0XX100.00593489767286897556717365766268075690221950,000$
2Aliaksei Protas (R)0XX100.008240956797818769666860656264650756702311,160,000$
3Ryan Donato0XX100.00715885697281887075686762657168075670282999,999$
4Nathan Bastian (R)0X100.00827779658780786357646276616870075660261850,000$
5Adam Edstrom0X100.00864189629976695956576364586566075640233999,999$
6Jiri Kulich (R)0X100.00683888677591826563586462666167075640202950,000$
7Brendan Perlini0XX100.00774180638695715760596261586870075630282800,000$
8Matthew Phillips (R)0XX100.00593495656082806461626360646668075630262900,000$
9Jakob Pelletier (R)0X100.00633687666385766560636261666465075630231950,000$
10Isaac Ratcliffe (R)0X100.00835069579274815653545558526567075610252800,000$
11Marco Kasper (R)0X100.00733787597485735860575663596264075610203950,000$
12Graham Slaggert (R)0X100.00603789586973805760545653556567075590252950,000$
13Philip Broberg (R)0X100.00753995658979816330675864506365075650231950,000$
14Matt Irwin0X100.00765383628078845730605668487879075640362999,999$
15Jordan Gross0X100.00613782656886806330626461536971075630292836,000$
16Jake Livingstone (R)0X100.00734080648881736330655260486567075630253950,000$
17Jack Thompson (R)0X100.00673792637584855930625764496264075620222950,000$
18Tyler Tucker (R)0X100.00726761637880785830625961536466075620242868,000$
19Nicolas Beaudin (R)0X100.00573874636665705730645154466567075590242825,000$
Rayé
1Cole Guttman (R)0X91.81623883686386826781656662686567075640252950,000$
2Robert Mastrosimone (R)0X100.00553973586481675659575452556365075580233950,000$
3Dmitry Zlodeyev (R)0X100.00603695556961635456525350556264075570223950,000$
4Kevin Gravel0X34.26763991608780855830605366477274075630322999,999$
5Corson Ceulemans (R)0X100.00713991588064705730555356466163075590212950,000$
6Thomas Miller (R)0X100.00683894547765755230535156456567075580252950,000$
MOYENNE D’ÉQUIPE97.0469438563777978614961596156656707563
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
SP
Âge
Contrat
Salaire moyen
1Mads Sogaard100.0078858195777678777678776471075680233964,000$
2Dennis Hildeby (R)100.0071787491706971706971706369075630232950,000$
Rayé
MOYENNE D’ÉQUIPE100.007582789374737574737574647007566
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ben Simon66636475696580USA4531,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
#
Nom du joueur
Nom de l’équipe
POS
GP
G
A
P
+/-
PIM
PIM5
HIT
HTT
SHT
OSB
OSM
SHT%
SB
MP
AMG
PPG
PPA
PPP
PPS
PPM
PKG
PKA
PKP
PKS
PKM
GW
GT
FO%
FOT
GA
TA
EG
HT
P/20
PSG
PSS
FW
FL
FT
S1
S2
S3
1JJ PeterkaComets (VAN)LW/RW73475310030203522843311428110.85%22179324.576111768216000111889445.28%21200201.1201000558
2Jiri KulichComets (VAN)RW7327457261008093291862069.28%15138318.968122050188000005148.94%9400011.0411000637
3Nathan BastianComets (VAN)RW73274370319315247120285752169.47%26148020.2761218482110111882142.48%11300110.9501003840
4Ryan DonatoComets (VAN)C/LW73244266323597162310772167.74%18141719.4241317692230002644052.70%29600000.9301001142
5Philip BrobergComets (VAN)D731738552818013962110284315.45%108163822.447512461611012162400.00%000100.6700000344
6Jakob PelletierComets (VAN)LW73262854880501652146716912.15%13126117.28246171160112593147.36%132800000.8600000126
7Matt IrwinComets (VAN)D7312395127100201886397385512.37%101162822.31279241361013169300.00%000000.6300013133
8Kevin GravelComets (VAN)D7112344674001196985256114.12%110142120.024913281721011163000.00%000000.6500000231
9Cole GuttmanComets (VAN)C691629452580361211265310112.70%584512.254812281260000150153.52%116600001.0600000031
10Brendan PerliniComets (VAN)LW/RW691925446440163761364212113.97%14117617.061127340000264243.59%7800000.7500000236
11Aliaksei ProtasComets (VAN)C/LW58182139439586981533710011.76%579813.776713321070111754451.23%89400000.9801001251
12Adam EdstromComets (VAN)C661321349480155104114388611.40%1997714.823472311602241651046.83%123200000.7000000204
13Jack ThompsonComets (VAN)D73529341326042755821458.62%85130317.8611215560001101300.00%000000.5200000101
14Matthew PhillipsComets (VAN)C/RW73121830540128413146889.16%997713.3900001000074145.00%8000000.6100000101
15Marco KasperComets (VAN)C6561622618071958320457.23%684713.03246231060002830046.45%115600010.5200000102
16Tyler TuckerComets (VAN)D735172297715200615216319.62%67128817.650224300000122200.00%000000.3400003021
17Jake LivingstoneComets (VAN)D6931720-828090532872510.71%4490213.080000000005100.00%000000.4400000010
18Jordan GrossComets (VAN)D7031114194016202881410.71%213765.381341038000058000.00%000000.7400000120
19Corson CeulemansComets (VAN)D8000000000000.00%220.260000000001000.00%000000.0000000000
20Graham SlaggertComets (VAN)C19000000000000.00%010.0900000000010066.67%300000.0000000000
21Isaac RatcliffeComets (VAN)LW73000200001010.00%080.11000000000100100.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne136729252681823059060182617492735798190410.68%6902153115.75571031604922045358301561491548.76%665300430.76150111374448
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’équipe
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
ST
BG
S1
S2
S3
1Mads SogaardComets (VAN)73491850.8973.2741878522822050101.0005730733
2Dennis HildebyComets (VAN)81000.9382.232150081290010.0000073000
Statistiques d’équipe totales ou en moyenne81501850.8993.2244028523623340111.00057373733


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’équipe
POS
Âge
Date de naissance
Nouveau joueur
Poids
Taille
Non-échange
Disponible pour échange
Ballotage forcé
Contrat
Type
Salaire actuel
Salaire restant
Salaire moyen
Salaire moyen restant
Plafond salarial
Plafond salarial restant
Exclus du plafond salarial
Salaire annuel 2
Salaire annuel 3
Salaire annuel 4
Salaire annuel 5
Salaire annuel 6
Salaire annuel 7
Salaire annuel 8
Salaire annuel 9
Salaire annuel 10
Link
Adam EdstromComets (VAN)C232000-10-12No234 Lbs6 ft7NoNoNo3Pro & Farm999,999$96,939$999,999$96,939$0$0$No999,999$999,999$Lien
Aliaksei Protas (contrat à 1 volet)Comets (VAN)C/LW232001-01-06Yes225 Lbs6 ft6NoNoNo1Pro & Farm1,160,000$112,449$1,160,000$112,449$1,160,000$112,449$NoLien / Lien NHL
Brendan PerliniComets (VAN)LW/RW281996-04-27No211 Lbs6 ft3NoNoNo2Pro & Farm800,000$77,551$800,000$77,551$0$0$No800,000$Lien / Lien NHL
Cole Guttman (sur la masse salariale)Comets (VAN)C251999-04-06Yes167 Lbs5 ft9NoNoNo2Pro & Farm950,000$92,092$950,000$92,092$0$0$Yes950,000$Lien / Lien NHL
Corson CeulemansComets (VAN)D212003-05-05Yes198 Lbs6 ft2NoNoNo2Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$Lien / Lien NHL
Dennis HildebyComets (VAN)G232001-08-19Yes209 Lbs6 ft5NoNoNo2Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$Lien / Lien NHL
Dmitry ZlodeyevComets (VAN)C222002-02-15Yes185 Lbs5 ft11NoNoNo3Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$950,000$
Graham SlaggertComets (VAN)C251999-04-06Yes183 Lbs5 ft11NoNoNo2Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$Lien / Lien NHL
Isaac RatcliffeComets (VAN)LW251999-02-15Yes200 Lbs6 ft6NoNoNo2Pro & Farm800,000$77,551$800,000$77,551$0$0$No800,000$Lien / Lien NHL
JJ PeterkaComets (VAN)LW/RW222002-01-14Yes189 Lbs6 ft0NoNoNo1Pro & Farm950,000$92,092$950,000$92,092$0$0$NoLien / Lien NHL
Jack ThompsonComets (VAN)D222002-04-19Yes189 Lbs6 ft1NoNoNo2Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$Lien / Lien NHL
Jake LivingstoneComets (VAN)D251999-04-16Yes205 Lbs6 ft3NoNoNo3Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$950,000$
Jakob PelletierComets (VAN)LW232001-03-07Yes170 Lbs5 ft9NoNoNo1Pro & Farm950,000$92,092$950,000$92,092$0$0$NoLien / Lien NHL
Jiri KulichComets (VAN)RW202004-04-14Yes186 Lbs6 ft1NoNoNo2Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$Lien / Lien NHL
Jordan GrossComets (VAN)D291995-05-09No190 Lbs5 ft10NoNoNo2Pro & Farm836,000$81,041$836,000$81,041$0$0$No836,000$Lien / Lien NHL
Kevin Gravel (sur la masse salariale)Comets (VAN)D321992-03-06No205 Lbs6 ft4NoNoNo2Pro & Farm999,999$96,939$999,999$96,939$0$0$Yes999,999$Lien / Lien NHL
Mads SogaardComets (VAN)G232000-12-13No196 Lbs6 ft7NoNoNo3Pro & Farm964,000$93,449$964,000$93,449$0$0$No964,000$964,000$Lien / Lien NHL
Marco KasperComets (VAN)C202004-04-08Yes183 Lbs6 ft1NoNoNo3Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$950,000$
Matt IrwinComets (VAN)D361987-11-29No200 Lbs6 ft2NoNoNo2Pro & Farm999,999$96,939$999,999$96,939$0$0$No999,999$Lien / Lien NHL
Matthew PhillipsComets (VAN)C/RW261998-04-06Yes160 Lbs5 ft8NoNoNo2Pro & Farm900,000$87,245$900,000$87,245$0$0$No900,000$Lien / Lien NHL
Nathan BastianComets (VAN)RW261997-12-06Yes205 Lbs6 ft4NoNoNo1Pro & Farm850,000$82,398$850,000$82,398$0$0$NoLien / Lien NHL
Nicolas BeaudinComets (VAN)D241999-10-07Yes168 Lbs5 ft11NoNoNo2Pro & Farm825,000$79,974$825,000$79,974$0$0$No825,000$Lien / Lien NHL
Philip BrobergComets (VAN)D232001-06-25Yes212 Lbs6 ft4NoNoNo1Pro & Farm950,000$92,092$950,000$92,092$0$0$NoLien / Lien NHL
Robert MastrosimoneComets (VAN)LW232001-01-24Yes170 Lbs5 ft10NoNoNo3Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$950,000$
Ryan DonatoComets (VAN)C/LW281996-04-09No190 Lbs6 ft0NoNoNo2Pro & Farm999,999$96,939$999,999$96,939$0$0$No999,999$Lien / Lien NHL
Thomas MillerComets (VAN)D251999-03-06Yes181 Lbs6 ft2NoNoNo2Pro & Farm950,000$92,092$950,000$92,092$0$0$No950,000$Lien / Lien NHL
Tyler TuckerComets (VAN)D242000-03-01Yes204 Lbs6 ft1NoNoNo2Pro & Farm868,000$84,143$868,000$84,143$0$0$No868,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2724.67193 Lbs6 ft22.04937,148$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1JJ PeterkaAdam EdstromNathan Bastian35122
2Brendan PerliniJakob PelletierJiri Kulich30122
3Ryan DonatoAliaksei ProtasMatthew Phillips25122
4Ryan DonatoAliaksei ProtasJJ Peterka10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip BrobergMatt Irwin40122
2Jordan GrossJake Livingstone30122
3Tyler TuckerJack Thompson30122
4Jordan GrossMatt Irwin0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1JJ PeterkaJakob PelletierNathan Bastian60122
2Aliaksei ProtasAdam EdstromJiri Kulich40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack ThompsonRyan Donato60122
2Tyler TuckerMatt Irwin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan DonatoJJ Peterka60140
2Aliaksei ProtasNathan Bastian40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack ThompsonMatt Irwin60122
2Philip BrobergTyler Tucker40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1JJ Peterka60122Philip BrobergMatt Irwin60122
2Ryan Donato40122Tyler TuckerJack Thompson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1JJ PeterkaRyan Donato60122
2Jiri KulichNathan Bastian40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler TuckerMatt Irwin60122
2Philip BrobergJack Thompson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
JJ PeterkaRyan DonatoNathan BastianPhilip BrobergMatt Irwin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
JJ PeterkaRyan DonatoNathan BastianPhilip BrobergMatt Irwin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Bastian, JJ Peterka, Ryan DonatoRyan Donato, JJ PeterkaJJ Peterka
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Tucker, Jack Thompson, Matt IrwinTyler TuckerJack Thompson, Matt Irwin
Tirs de pénalité
JJ Peterka, Ryan Donato, Aliaksei Protas, Nathan Bastian, Jiri Kulich
Gardien
#1 : Mads Sogaard, #2 : Dennis Hildeby
Lignes d’attaque personnalisées en prolongation
JJ Peterka, Ryan Donato, Jakob Pelletier, Nathan Bastian, Jiri Kulich, Isaac Ratcliffe, Isaac Ratcliffe, Aliaksei Protas, Adam Edstrom, Matthew Phillips, Brendan Perlini
Lignes de défense personnalisées en prolongation
Jack Thompson, Matt Irwin, Philip Broberg, Jake Livingstone, Tyler Tucker


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Total
Domicile
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
1Admirals33000000161062200000010641100000064261.0001624400011988806123908936867297420468211327.27%12283.33%11374281748.78%1263255749.39%607123948.99%180512601652535947482
2Americans2110000089-11010000036-31100000053220.5008142200119888069490893686729692227356116.67%11463.64%01374281748.78%1263255749.39%607123948.99%180512601652535947482
3Barracuda312000001215-31010000036-32110000099020.3331222341011988806121908936867291152416888225.00%8450.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
4Bears211000008711010000024-21100000063320.500815230011988806719089368672957164427228.57%20100.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
5Bruins21100000810-21010000036-31100000054120.50081422001198880675908936867296016105913430.77%4325.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
6Checkers21001000532100010002111100000032141.000510150011988806889089368672955201044400.00%40100.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
7Condors32100000660220000006241010000004-440.667612180111988806889089368672910322127315213.33%50100.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
8Crunch211000009721010000045-11100000052320.5009172600119888067590893686729642417515120.00%5180.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
9Devils210010001064110000006331000100043141.0001018280011988806679089368672940161444300.00%6266.67%01374281748.78%1263255749.39%607123948.99%180512601652535947482
10Eagles21100000651211000006510000000000020.500611170011988806839089368672946136508112.50%30100.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
11Firebirds32100000972110000003032110000067-140.6679182701119888061039089368672910124357910220.00%10280.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
12Griffins210001008441000010034-11100000050530.7508152301119888067990893686729741930587228.57%9188.89%01374281748.78%1263255749.39%607123948.99%180512601652535947482
13Gulls33000000171251100000053222000000129361.0001732490011988806108908936867298616168221838.10%8187.50%01374281748.78%1263255749.39%607123948.99%180512601652535947482
14IceHogs311000109902010001058-31100000041340.66791423001198880611090893686729101382760400.00%9188.89%01374281748.78%1263255749.39%607123948.99%180512601652535947482
15Marlies2110000048-41010000016-51100000032120.500471100119888066390893686729582418544125.00%9188.89%01374281748.78%1263255749.39%607123948.99%180512601652535947482
16Monsters22000000927110000003031100000062441.000916250111988806699089368672955156549222.22%20100.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
17Moose220000001257110000007251100000053241.00012233500119888069290893686729531117518562.50%50100.00%11374281748.78%1263255749.39%607123948.99%180512601652535947482
18Penguins2000020079-21000010045-11000010034-120.500713200011988806709089368672974261843800.00%6266.67%01374281748.78%1263255749.39%607123948.99%180512601652535947482
19Phantoms22000000642110000003211100000032141.0006121800119888067290893686729612716398337.50%70100.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
20Reign3210000014122110000007342110000079-240.6671426400011988806106908936867291162520765480.00%10190.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
21Roadrunners3110010057-21000010023-12110000034-130.500581300119888068790893686729902953631000.00%18288.89%01374281748.78%1263255749.39%607123948.99%180512601652535947482
22Rocket22000000954110000005321100000042241.00091524001198880675908936867295016843400.00%30100.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
23Senators2110000078-1110000004221010000036-320.5007121900119888068590893686729641912616116.67%6266.67%01374281748.78%1263255749.39%607123948.99%180512601652535947482
24Silver Knights2200000013760000000000022000000137641.00013253800119888067290893686729741916666466.67%8275.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
25Sound Tigers22000000835110000004131100000042241.00081523001198880665908936867296391855600.00%90100.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
26Stars211000001082110000004131010000067-120.50010192900119888066890893686729853317547228.57%6350.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
27Thunderbirds311001001516-11100000075220100100811-330.5001526410011988806101908936867291025124787114.29%11372.73%01374281748.78%1263255749.39%607123948.99%180512601652535947482
28Wild21001000853100010002111100000064241.0008132100119888068090893686729642010499111.11%5180.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
29Wolf Pack22000000945110000003031100000064241.00091524011198880699908936867295616124411218.18%6350.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
30Wolves21100000880110000005321010000035-220.5008152300119888068190893686729661625361000.00%10280.00%01374281748.78%1263255749.39%607123948.99%180512601652535947482
31Wranglers41102000181622100100095420101000911-260.750183048001198880616590893686729159443811311327.27%18666.67%11374281748.78%1263255749.39%607123948.99%180512601652535947482
Total734418055102932375635208033101311013038241002200162136261050.7192935268191511988806273590893686729233569059818262515722.71%2354979.15%31374281748.78%1263255749.39%607123948.99%180512601652535947482
_Since Last GM Reset734418055102932375635208033101311013038241002200162136261050.7192935268191511988806273590893686729233569059818262515722.71%2354979.15%31374281748.78%1263255749.39%607123948.99%180512601652535947482
_Vs Conference41241103210170140301912302110765026221280110094904580.7071703034731211988806150790893686729136938935310641403827.14%1362879.41%31374281748.78%1263255749.39%607123948.99%180512601652535947482
_Vs Division21136020008975148610100033191413750100056560300.71489165254121198880676390893686729754174153577762532.89%671676.12%11374281748.78%1263255749.39%607123948.99%180512601652535947482

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
73105W429352681927352335690598182615
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7344185510293237
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
352083310131101
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3824102200162136
Derniers 10 matchs
WLOTWOTL SOWSOL
800200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2515722.71%2354979.15%3
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
9089368672911988806
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
1374281748.78%1263255749.39%607123948.99%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
180512601652535947482


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
Jour
Match
Équipe visiteuse
Score
Équipe locale
Score
ST
OT
SO
RI
Lien
6 - 2024-10-099Wranglers4Comets5BWXSommaire du match
8 - 2024-10-1122Phantoms2Comets3BWSommaire du match
12 - 2024-10-1548Comets5Crunch2AWSommaire du match
14 - 2024-10-1765Comets3Checkers2AWSommaire du match
16 - 2024-10-1982Comets3Phantoms2AWSommaire du match
19 - 2024-10-22100Comets4IceHogs1AWSommaire du match
23 - 2024-10-26133Penguins5Comets4BLXSommaire du match
25 - 2024-10-28146Wolves3Comets5BWSommaire du match
27 - 2024-10-30159Devils3Comets6BWSommaire du match
30 - 2024-11-02184Comets3Barracuda5ALSommaire du match
33 - 2024-11-05203Comets4Gulls3AWSommaire du match
35 - 2024-11-07218Comets4Reign3AWSommaire du match
37 - 2024-11-09235Condors0Comets3BWSommaire du match
40 - 2024-11-12250Wranglers1Comets4BWSommaire du match
42 - 2024-11-14265Sound Tigers1Comets4BWSommaire du match
44 - 2024-11-16283IceHogs5Comets1BLSommaire du match
45 - 2024-11-17285Admirals4Comets6BWSommaire du match
47 - 2024-11-19300Wolf Pack0Comets3BWSommaire du match
51 - 2024-11-23323Comets3Senators6ALSommaire du match
54 - 2024-11-26345Comets5Bruins4AWSommaire du match
55 - 2024-11-27354Comets3Penguins4ALXSommaire du match
57 - 2024-11-29364Comets5Americans3AWSommaire du match
59 - 2024-12-01388Comets5Griffins0AWSommaire du match
61 - 2024-12-03402Comets6Wild4AWSommaire du match
64 - 2024-12-06422Monsters0Comets3BWSommaire du match
66 - 2024-12-08437Crunch5Comets4BLSommaire du match
68 - 2024-12-10455Thunderbirds5Comets7BWSommaire du match
70 - 2024-12-12471Checkers1Comets2BWXSommaire du match
72 - 2024-12-14486Bruins6Comets3BLSommaire du match
74 - 2024-12-16496Eagles2Comets1BLSommaire du match
76 - 2024-12-18510Comets2Roadrunners1AWSommaire du match
77 - 2024-12-19519Comets7Silver Knights3AWSommaire du match
79 - 2024-12-21537Senators2Comets4BWSommaire du match
81 - 2024-12-23555Barracuda6Comets3BLSommaire du match
86 - 2024-12-28567Firebirds0Comets3BWSommaire du match
89 - 2024-12-31600Comets2Wranglers5ALSommaire du match
91 - 2025-01-02613Comets2Firebirds5ALSommaire du match
92 - 2025-01-03619Admirals2Comets4BWSommaire du match
95 - 2025-01-06638Comets4Rocket2AWSommaire du match
97 - 2025-01-08650Comets6Bears3AWSommaire du match
99 - 2025-01-10666Comets3Wolves5ALSommaire du match
100 - 2025-01-11672Comets3Marlies2AWSommaire du match
103 - 2025-01-14702Comets5Moose3AWSommaire du match
105 - 2025-01-16719Reign3Comets7BWSommaire du match
107 - 2025-01-18735Condors2Comets3BWSommaire du match
110 - 2025-01-21755Americans6Comets3BLSommaire du match
112 - 2025-01-23768Comets0Condors4ALSommaire du match
114 - 2025-01-25786Bears4Comets2BLSommaire du match
116 - 2025-01-27796Comets4Thunderbirds6ALSommaire du match
118 - 2025-01-29810Comets6Admirals4AWSommaire du match
120 - 2025-01-31823Comets6Stars7ALSommaire du match
122 - 2025-02-02842Griffins4Comets3BLXSommaire du match
124 - 2025-02-04855Eagles3Comets5BWSommaire du match
126 - 2025-02-06870Comets6Barracuda4AWSommaire du match
128 - 2025-02-08884Marlies6Comets1BLSommaire du match
142 - 2025-02-22905Comets6Silver Knights4AWSommaire du match
143 - 2025-02-23915Comets1Roadrunners3ALSommaire du match
146 - 2025-02-26932Comets3Reign6ALSommaire du match
147 - 2025-02-27944Comets8Gulls6AWSommaire du match
149 - 2025-03-01960Comets4Firebirds2AWSommaire du match
153 - 2025-03-05986Gulls3Comets5BWSommaire du match
155 - 2025-03-071000Wild1Comets2BWXSommaire du match
157 - 2025-03-091019Stars1Comets4BWSommaire du match
159 - 2025-03-111032Rocket3Comets5BWSommaire du match
160 - 2025-03-121037Comets7Wranglers6AWXSommaire du match
163 - 2025-03-151065IceHogs3Comets4BWXXSommaire du match
164 - 2025-03-161071Roadrunners3Comets2BLXSommaire du match
166 - 2025-03-181086Moose2Comets7BWSommaire du match
168 - 2025-03-201095Comets4Thunderbirds5ALXSommaire du match
170 - 2025-03-221104Comets6Wolf Pack4AWSommaire du match
172 - 2025-03-241125Comets4Devils3AWXSommaire du match
174 - 2025-03-261139Comets4Sound Tigers2AWSommaire du match
176 - 2025-03-281155Comets6Monsters2AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
178 - 2025-03-301172Comets-Moose-
181 - 2025-04-021196Firebirds-Comets-
184 - 2025-04-051212Gulls-Comets-
185 - 2025-04-061229Silver Knights-Comets-
187 - 2025-04-081242Comets-Stars-
189 - 2025-04-101256Comets-Eagles-
191 - 2025-04-121273Wild-Comets-
193 - 2025-04-141290Barracuda-Comets-
195 - 2025-04-161305Silver Knights-Comets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance69,63034,625
Assistance PCT99.47%98.93%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-25 2979 - 99.29% 80,719$2,825,157$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,079,285$ 2,314,300$ 2,314,300$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,173,246$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,017,969$ 19 16,910$ 321,290$




Comets Leaders statistiques (saison régulière)

#
Nom du joueur
GP
G
A
P
+/-
PIM
HIT
HTT
SHT
SHT%
SB
MP
AMG
PPG
PPA
PPP
PPS
PKG
PKA
PKP
PKS
GW
GT
FO%
HT
P/20
PSG
PSS
1Jason Jaffray50518324542875313987764155111.80%190959919.0148721202021016291350.15%50.89320
2Nathan Bastian503177211388734271500673163310.84%225798915.883547822600221123540.49%60.9725
3Matt Calvert3111592033624288657502134411.83%164647820.8339559414743711191041.60%61.12123
4Tom Pyatt294107185292368253060595511.20%176583519.85223557893362212450.82%31.00612
5Gemel Smith535118146264-4878341789117510.04%140854015.961732491531011124952.86%30.62416

Comets Leaders des statistiques des gardiens (saison régulière)

#
Nom du gardien
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
1Anders Lindback551323154520.9182.56323503433137816810829937150.730200
2Alex Lyon371178139280.9103.2220693282011121232001480.71964
3Mads Sogaard1659051110.8983.55897118653051910420.95221
4Linus Ullmark1527458190.9242.35902714835446530840.64679
5Braden Holtby1176337150.9003.0667978334734801792430.74663

Comets Statistiques de l'Équipe de Carrière

Total
Domicile
Visiteur
Année
GP
W
L
T
OTW
OTL
SOW
SOL
GF
GA
Diff
GP
W
L
T
OTW
OTL
SOW
SOL
GF
GA
Diff
GP
W
L
T
OTW
OTL
SOW
SOL
GF
GA
Diff
P
G
A
TP
SO
EG
GP1
GP2
GP3
GP4
SHF
SH1
SP2
SP3
SP4
SHA
SHB
Pim
Hit
PPA
PPG
PP%
PKA
PK GA
PK%
PK GF
W OF FO
T OF FO
OF FO%
W DF FO
T DF FO
DF FO%
W NT FO
T NT FO
NT FO%
PZ DF
PZ OF
PZ NT
PC DF
PC OF
PC NT
Saison régulière
580343503224279275440151702114149144540191801110130131-184279464743140831048728150899988913253692578122032075526.57%1825072.53%7848162552.18%728143850.63%660131950.04%161678417559481731872
6803532054222632323140201305200139974240151900222124135-11902634276900110571009923580702801836229679755721912032914.29%1623479.01%4801155051.68%735152248.29%543117146.37%1569742353819051736875
776392606410263204593818130430011610412382113021101471004796263430693150601128425660780951814228374252520092014723.38%1543179.87%9861157054.84%865160653.86%620118252.45%156479714307461583805
876402204253304229753823802131160111493817140212214411826103304500804350861129727340902938881241582071621622246328.13%1752983.43%41051183557.28%950171055.56%668116557.34%160584814737421525762
980322504106330026634401611026501501292140161402413150137139730048978931083108993030010241066922243084844224811863518.82%1713181.87%31071192455.67%894164954.21%629119552.64%176296315137751585779
108042210226726521055402190115313596394021120111413011416109265432697380639210227200826908946241180466620761957236.92%2265675.22%8951177753.52%891178649.89%618112754.84%164483515358131690832
11803828043522512213040181302142128101274020150221012312039925142667704049104892978093910091004237878566923782346226.50%2385576.89%4995193951.32%903171352.71%594112752.71%175694614827871608786
127638220237426521649381911022311301012938191100143135115201012654336981205110996280908621002903260484968620482235424.22%2166271.30%2925182150.80%953185351.43%566111650.72%162786414927511501749
138041180865228919891402780122014983664014100743214011525116289484773120751188330860100510351007255887241821252095526.32%1613677.64%41021199651.15%909176851.41%553111649.55%174393915137741599798
148038230562626820662402080431414210141401815013121261052110226844871634084997827960967926874263392662420422105325.24%1913979.58%5947183651.58%966180853.43%611111754.70%166585815607851633824
1580263206475210219-9401715022131211174409170426289102-138721033454437037778321490581753778264893125817201725833.72%933958.06%2801156251.28%853169350.38%521101351.43%152969015907891757929
1676223106359183208-253813140421498104-6389170214585104-197818332450721060535919720669674594227267640413992614718.01%1723281.40%11170224852.05%1305252651.66%612116252.67%1785121418525781002499
178036320322520718918401719011029496-24019130212311393208920737157832057727323320744773796239271345215412725319.49%2023085.15%11299261849.62%1304266748.89%548119245.97%1926132218735951039523
18762731022410171210-393813160101789113-24381415012338297-157817130447516057604819460626664626250774162716621782815.73%2733985.71%21067221948.08%1434283550.58%565115548.92%1696112819325881009482
1982314102350202226-244117200013098100-241142102220104126-227920236656823075685220670673709676228566133514081743520.11%1492483.89%01140230749.41%1195247648.26%593126646.84%1965134819045901080545
208252220222228120972412510021211451014441271200101136108281162815137942100919888288908681039971247273562818953448625.00%2724184.93%21648307853.54%1514276854.70%671129951.66%2040140518336081075553
2182363501514285297-1241152101301141155-14412114002131441422852855147992408792104322701078106910643559104355022152324619.83%2474780.97%11311308542.50%1397348540.09%559131042.67%181212662164581978467
2282283708414285303-1841141803402143147-441141905012142156-1482285513798530102849032320110610121060328296454320142284218.42%2344979.06%21499313047.89%1447320745.12%628138145.47%1901134020595821010489
238236360190032531213412217002001691482141141901700156164-883325576901211351018813246107010701090163206100570920122344017.09%2707472.59%01614317550.83%1529321647.54%742143751.64%1944139020045741001489
202282412903540418350684120160221019716433412113013302211863510141875211704017611711893588117712041178453311100551219952306026.09%2296870.31%31583313950.43%1468316546.38%710153446.28%1886134520565711009488
20238245310141034530045411820012001641604412711002101811404198345605950031281141013338511421118110820298284256620562666323.68%2385178.57%41643327250.21%1457293649.63%716143150.03%2038144218695701033524
2024734418055102932375635208033101311013038241002200162136261052935268191511988806273590893686729233569059818262515722.71%2354979.15%31374281748.78%1263255749.39%607123948.99%180512601652535947482
Total Saison régulière17478016270839074725952531763587240830504545343529882573415875393322038454037296427442202078595210231161834391558167720491530606604297195792056015775577951837412266434584934114023.10%449096678.49%71256205052350.71%249605038449.54%135342705450.03%388892373640089161972914114562
Séries éliminatoires
7624000001919031200000981312000001011-14192948000478194054657522784181575240.00%10370.00%17412957.36%5612744.09%508360.24%116601245511859
8514000001518-331200000111012020000048-421524390004381800595762188813313120210.00%9188.89%06010855.56%6713250.76%397651.32%1095899489651
9404000001219-720200000712-52020000057-201222340005611610526049166502010317529.41%9188.89%06111851.69%7912364.23%326847.06%854886377135
1024159000008369141192000003923161367000004446-230831352180001933298980294325269956304204588481225.00%652364.62%430862349.44%32863851.41%18736451.37%496261502236478239
111257000003239-75320000017170725000001522-710325890000714843801341571335071699735020315.00%42880.95%013827849.64%16231451.59%9217652.27%253135257115226113
1213760000037334633000002016474300000171701437619810011111551901821841495171786635527933.33%23865.22%016032848.78%18735352.97%11820557.56%281153272124251126
13624000001819-13120000098131200000911-241833511004772180717869218885015615640.00%25868.00%08015850.63%7315148.34%418448.81%130701135611655
14241410000008073713103000004232101147000003841-32880142222000233122943032529730386728495725471123.40%41782.93%030864048.13%26956447.70%18536350.96%528297476229461226
171257000002729-25140000079-27430000020200102748750107125338090117944441179422643613.95%47882.98%020341449.03%21949344.42%8418645.16%2972043269716477
20514000001316-33120000078-12020000068-221323360003641600445362168515812422627.27%22768.18%09317453.45%8319841.92%489252.17%12283116366635
23514000001323-102020000049-531200000914-521324370006611680536748175603011417317.65%15380.00%08918448.37%7917445.40%429245.65%11883117356331
2022624000002427-3321000001512330300000915-642444680099602177771654213484014519421.05%18572.22%012124349.79%10420351.23%3910437.50%13995147458039
202313760000051474633000002020074300000312741451891400024151205011621701561345213798332351234.29%401075.00%127251952.41%24445353.86%11622551.56%3182203089517184
Total Séries éliminatoires135627300000424431-7653530000002071842370274300000217247-301244247321156213311715410849352391599168113305098165190335063358124.18%3669274.86%61967391650.23%1950392349.71%1073211850.66%299817712947121623661174

Comets Leaders statistiques (séries éliminatoires)

#
Nom du joueur
GP
G
A
P
+/-
PIM
HIT
HTT
SHT
SHT%
SB
MP
AMG
PPG
PPA
PPP
PPS
PKG
PKA
PKP
PKS
GW
GT
FO%
HT
P/20
PSG
PSS
1Matt Calvert47233659-2111168822510.22%41104822.3276131701122336.09%01.1200
2Jason Jaffray7920375714321471192468.13%31135217.12077900004150.00%00.8400
3Cody Eakin401814321113655714112.77%1467316.83325300001048.78%00.9500
4Tomas Vincour36121931165667911610.34%1566018.35123410142054.58%00.9400
5Tim Stapleton31131831-5733729413.83%1961319.78167911214050.00%01.0100

Comets Leaders des statistiques des gardiens (séries éliminatoires)

#
Nom du gardien
GP
W
L
OTL
PCT
GAA
MP
PIM
SO
GA
SA
SAR
A
EG
PS %
PSA
1Anders Lindback78402880.9232.90466017022529141500320.0000
2Kevin Poulin125420.8913.8264420413750000.0000
3Linus Ullmark125520.9352.2178821294440100.0000
4Braden Holtby135710.9173.387642043521277000.0000
5Antoine Bibeau42000.9222.35153206770000.0000