Comets
GP: 12 | W: 7 | L: 5
GF: 40 | GA: 42 | PP%: 19.61% | PK%: 68.42%
DG: Mathieu Turcotte | Morale : 75 | Moyenne d’équipe : 63
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Centre de jeu
Comets
7-5-0, 14pts
4
FINAL
3 Condors
16-6-0, 32pts
Team Stats
L1StreakW3
4-3-0Home Record7-4-0
3-2-0Away Record9-2-0
5-4-1Last 10 Games8-1-1
3.33Buts par match 3.59
3.50Buts contre par match 2.59
19.61%Pourcentage en avantage numérique22.22%
68.42%Pourcentage en désavantage numérique83.10%
Condors
16-6-0, 32pts
5
FINAL
3 Comets
7-5-0, 14pts
Team Stats
W3StreakL1
7-4-0Home Record4-3-0
9-2-0Away Record3-2-0
8-1-1Last 10 Games5-4-1
3.59Buts par match 3.33
2.59Buts contre par match 3.50
22.22%Pourcentage en avantage numérique19.61%
83.10%Pourcentage en désavantage numérique68.42%
Meneurs d'équipe
Mads SogaardVictoires
Mads Sogaard
7
Mads SogaardPourcentage d’arrêts
Mads Sogaard
0.905

Statistiques d’équipe
Buts pour
40
3.33 GFG
Tirs pour
417
34.75 Avg
Pourcentage en avantage numérique
19.6%
10 GF
Début de zone offensive
40.2%
Buts contre
42
3.50 GAA
Tirs contre
425
35.42 Avg
Pourcentage en désavantage numérique
68.4%
12 GA
Début de la zone défensive
42.1%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Information formation

Équipe Pro27
Équipe Mineure21
Limite contact 48 / 80
Espoirs123


Historique d'équipe

Saison actuelle7-5
Historique55-22-5 (0.671%)
Apparitions séries éliminatoires 0
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
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$
6Cole Guttman (R)0X100.00623883686386826781656662686567075640252950,000$
7Jiri Kulich (R)0X100.00683888677591826563586462666167075640202950,000$
8Brendan Perlini0XX100.00774180638695715760596261586870075630282800,000$
9Matthew Phillips (R)0XX100.00593495656082806461626360646668075630262900,000$
10Jakob Pelletier (R)0X100.00633687666385766560636261666465075630231950,000$
11Isaac Ratcliffe (R)0X100.00835069579274815653545558526567075610252800,000$
12Philip Broberg (R)0X100.00753995658979816330675864506365075650231950,000$
13Jordan Gross0X100.00613782656886806330626461536971075630292836,000$
14Jake Livingstone (R)0X100.00734080648881736330655260486567075630253950,000$
15Kevin Gravel0X100.00763991608780855830605366477274075630322999,999$
16Jack Thompson (R)0X100.00673792637584855930625764496264075620222950,000$
17Tyler Tucker (R)0X100.00726761637880785830625961536466075620242868,000$
18Nicolas Beaudin (R)0X100.00573874636665705730645154466567075590242825,000$
Rayé
1Marco Kasper (R)0X100.00733787597485735860575663596264075610203950,000$
2Graham Slaggert (R)0X100.00603789586973805760545653556567075590252950,000$
3Robert Mastrosimone (R)0X100.00553973586481675659575452556365075580233950,000$
4Dmitry Zlodeyev (R)0X100.00603695556961635456525350556264075570223950,000$
5Matt Irwin0X100.00765383628078845730605668487879075640362999,999$
6Corson Ceulemans (R)0X100.00713991588064705730555356466163075590212950,000$
7Thomas Miller (R)0X100.00683894547765755230535156456567075580252950,000$
MOYENNE D’ÉQUIPE100.0069438563777978614961596156656707563
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Mads Sogaard100.0078858195777678777678776471075680233964,000$
2Dennis Hildeby (R)100.0071787491706971706971706369075630232950,000$
Rayé
MOYENNE D’ÉQUIPE100.007582789374737574737574647007566
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ben Simon66636475696580USA4531,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Adam EdstromComets (VAN)C128311-24022222782329.63%126221.90426941000072043.20%33800000.8400000211
2Aliaksei ProtasComets (VAN)C/LW12381106025332953110.34%225821.531347380000200149.82%27900000.8500000102
3Jiri KulichComets (VAN)RW12291124010264510344.44%228623.910228360001390053.85%2600000.7700000100
4Ryan DonatoComets (VAN)C/LW124711-10023295214337.69%428223.5112316490000411150.43%11700000.7800000100
5Jakob PelletierComets (VAN)LW1246101008273562511.43%023719.751231242000002038.39%31000000.8400000020
6Brendan PerliniComets (VAN)LW/RW1245934027152582116.00%022919.09000010000040146.15%1300000.7900000002
7JJ PeterkaComets (VAN)LW/RW12189-100323407312.50%319616.4000000000000015.38%1300000.9100000001
8Nathan BastianComets (VAN)RW12358-510056264914326.12%830325.260228470000150039.13%2300000.5300000010
9Jordan GrossComets (VAN)D12167-3001320105710.00%1724920.83011623000027100.00%000000.5600000100
10Philip BrobergComets (VAN)D12257-1160161226897.69%1829324.480221040000023100.00%000000.4800000000
11Matthew PhillipsComets (VAN)C/RW124261001144031510.00%220717.272021050000000047.62%2100000.5800000010
12Matt IrwinComets (VAN)D615626014612478.33%713222.02022420000011000.00%000000.9100000000
13Jack ThompsonComets (VAN)D12235310014101671212.50%1828023.401121249000034000.00%000000.3600000010
14Jake LivingstoneComets (VAN)D12022-26026103140.00%1022418.6900001000029000.00%000000.1800000000
15Kevin GravelComets (VAN)D11022-320844500.00%511710.700000000000000.00%000000.3400000000
16Marco KasperComets (VAN)C11010000121050.00%11111.62000000000000100.00%100001.7200000000
17Nicolas BeaudinComets (VAN)D1201148019102020.00%1218915.780000000002000.00%000000.1100000000
18Cole GuttmanComets (VAN)C12000100100000.00%080.7400005000000020.00%500000.0000000000
19Isaac RatcliffeComets (VAN)LW12000000000000.00%000.010000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne2104077117-17602862884171062869.59%110377117.9610192910245900012597344.15%114600000.6200000666
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Mads SogaardComets (VAN)127410.9053.1672220384000010.0000120011
2Dennis HildebyComets (VAN)10000.8754.0944203240000.0000012000
Statistiques d’équipe totales ou en moyenne137410.9033.2176740414240010.00001212011


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam EdstromComets (VAN)C232000-10-12No234 Lbs6 ft7NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien
Aliaksei Protas (contrat à 1 volet)Comets (VAN)C/LW232001-01-06Yes225 Lbs6 ft6NoNoNo1Pro & Farm1,160,000$1,160,000$1,160,000$0$NoLien / Lien NHL
Brendan PerliniComets (VAN)LW/RW281996-04-27No211 Lbs6 ft3NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Cole GuttmanComets (VAN)C251999-04-06Yes167 Lbs5 ft9NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Corson CeulemansComets (VAN)D212003-05-05Yes198 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Dennis HildebyComets (VAN)G232001-08-19Yes209 Lbs6 ft5NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Dmitry ZlodeyevComets (VAN)C222002-02-15Yes185 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Graham SlaggertComets (VAN)C251999-04-06Yes183 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Isaac RatcliffeComets (VAN)LW251999-02-15Yes200 Lbs6 ft6NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
JJ PeterkaComets (VAN)LW/RW222002-01-14Yes189 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Jack ThompsonComets (VAN)D222002-04-19Yes189 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Jake LivingstoneComets (VAN)D251999-04-16Yes205 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Jakob PelletierComets (VAN)LW232001-03-07Yes170 Lbs5 ft9NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Jiri KulichComets (VAN)RW202004-04-14Yes186 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Jordan GrossComets (VAN)D291995-05-09No190 Lbs5 ft10NoNoNo2Pro & Farm836,000$836,000$0$0$No836,000$Lien / Lien NHL
Kevin GravelComets (VAN)D321992-03-06No205 Lbs6 ft4NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Mads SogaardComets (VAN)G232000-12-13No196 Lbs6 ft7NoNoNo3Pro & Farm964,000$964,000$0$0$No964,000$964,000$Lien / Lien NHL
Marco KasperComets (VAN)C202004-04-08Yes183 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Matt IrwinComets (VAN)D361987-11-29No200 Lbs6 ft2NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Matthew PhillipsComets (VAN)C/RW261998-04-06Yes160 Lbs5 ft8NoNoNo2Pro & Farm900,000$900,000$0$0$No900,000$Lien / Lien NHL
Nathan BastianComets (VAN)RW261997-12-06Yes205 Lbs6 ft4NoNoNo1Pro & Farm850,000$850,000$0$0$NoLien / Lien NHL
Nicolas BeaudinComets (VAN)D241999-10-07Yes168 Lbs5 ft11NoNoNo2Pro & Farm825,000$825,000$0$0$No825,000$Lien / Lien NHL
Philip BrobergComets (VAN)D232001-06-25Yes212 Lbs6 ft4NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Robert MastrosimoneComets (VAN)LW232001-01-24Yes170 Lbs5 ft10NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Ryan DonatoComets (VAN)C/LW281996-04-09No190 Lbs6 ft0NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Thomas MillerComets (VAN)D251999-03-06Yes181 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Tyler TuckerComets (VAN)D242000-03-01Yes204 Lbs6 ft1NoNoNo2Pro & Farm868,000$868,000$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 ProtasNathan Bastian10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philip BrobergKevin Gravel40122
2Jordan GrossJake Livingstone30122
3Nicolas BeaudinJack Thompson30122
4Jordan GrossPhilip Broberg0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew PhillipsJakob PelletierNathan Bastian60122
2Aliaksei ProtasAdam EdstromJiri Kulich40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack ThompsonRyan Donato60122
2Philip BrobergJordan Gross40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan DonatoJiri Kulich60140
2Aliaksei ProtasNathan Bastian40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack ThompsonJordan Gross60122
2Philip BrobergJake Livingstone40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nathan Bastian60122Philip BrobergJake Livingstone60122
2Ryan Donato40122Jordan GrossJack Thompson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Aliaksei ProtasRyan Donato60122
2Jiri KulichNathan Bastian40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan GrossKevin Gravel60122
2Philip BrobergJack Thompson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Aliaksei ProtasRyan DonatoNathan BastianPhilip BrobergKevin Gravel
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Aliaksei ProtasRyan DonatoNathan BastianPhilip BrobergKevin Gravel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nathan Bastian, Aliaksei Protas, Ryan DonatoRyan Donato, Nathan BastianRyan Donato
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Philip Broberg, Jack Thompson, Jordan GrossPhilip BrobergJack Thompson, Philip Broberg
Tirs de pénalité
Adam Edstrom, 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, Jordan Gross, Philip Broberg, Jake Livingstone, Nicolas Beaudin


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
1Condors734000001620-441300000811-33210000089-160.42916304610131412124811212014540267675217328621.43%24770.83%019246141.65%23248248.13%8220340.39%2972002979717386
2IceHogs5410000024222330000001812621100000610-480.80024477100131412116911212014540158432811323417.39%14564.29%019246141.65%23248248.13%8220340.39%2972002979717386
Total1275000004042-27430000026233532000001419-5140.58340771171013141214171121201454042511080286511019.61%381268.42%019246141.65%23248248.13%8220340.39%2972002979717386
_Since Last GM Reset1275000004042-27430000026233532000001419-5140.58340771171013141214171121201454042511080286511019.61%381268.42%019246141.65%23248248.13%8220340.39%2972002979717386
_Vs Conference1275000004042-27430000026233532000001419-5140.58340771171013141214171121201454042511080286511019.61%381268.42%019246141.65%23248248.13%8220340.39%2972002979717386
_Vs Division734000001620-441300000811-33210000089-160.42916304610131412124811212014540267675217328621.43%24770.83%019246141.65%23248248.13%8220340.39%2972002979717386

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1214L140771174174251108028610
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
127500004042
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
74300002623
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
53200001419
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
511019.61%381268.42%0
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
112120145401314121
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
19246141.65%23248248.13%8220340.39%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2972002979717386


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2025-04-256IceHogs4Comets6BWSommaire du match
4 - 2025-04-2714IceHogs5Comets7BWSommaire du match
6 - 2025-04-2922Comets2IceHogs7ALSommaire du match
8 - 2025-05-0130Comets4IceHogs3AWSommaire du match
10 - 2025-05-0338IceHogs3Comets5BWSommaire du match
15 - 2025-05-0860Condors3Comets2BLXSommaire du match
16 - 2025-05-0964Condors2Comets0BLSommaire du match
17 - 2025-05-1068Comets1Condors4ALSommaire du match
18 - 2025-05-1172Comets3Condors2AWSommaire du match
19 - 2025-05-1276Condors1Comets3BWSommaire du match
20 - 2025-05-1380Comets4Condors3AWXSommaire du match
21 - 2025-05-1484Condors5Comets3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance14,0007,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
3 3000 - 100.00% 81,250$568,750$3000100

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

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 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
1JJ Peterka8049531023223623144011.14%22180922.6271118710001110444.91%01.1301
2Jiri Kulich823250821016891153279.79%18157719.23913225610125250.00%11.0411
3Nathan Bastian8229497831972731453258.92%33169120.62614205201122142.06%10.9201
4Ryan Donato822746735291031873477.78%22161419.69514197600024053.89%00.9001
5Jakob Pelletier8229366510105818624411.89%15142717.412682001124147.28%00.9100

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
1Mads Sogaard82542250.8983.25471110625525120101.0005
2Dennis Hildeby91000.9422.092300081390010.0000

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
Total Saison régulière8249220551032726463412410033101561183841251202200171146251153275889151613410087630481024103596529265278767320472786523.38%2685679.10%41539314348.97%1438290949.43%669140047.79%2017140818636041063539
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