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Comets
GP: 1 | W: 1 | L: 0
GF: 2 | GA: 1 | PP%: 0.00% | PK%: 0%
DG: MatsLP | Morale : 85 | Moyenne d’équipe : 60
Prochains matchs #10 vs Rocket

Centre de jeu
Rocket
0-1-0, 0pts
1
FINAL
2 Comets
1-0-0, 2pts
Team Stats
OTL1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche domicile0-0-0
0-0-1Derniers 10 matchs1-0-0
1.00Buts par match 2.00
2.00Buts contre par match 1.00
0%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique0%
Rocket
0-1-0, 0pts
Jour 3
Comets
1-0-0, 2pts
Statistiques d’équipe
OTL1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche visiteur0-0-0
0-0-110 derniers matchs1-0-0
1.00Buts par match 2.00
2.00Buts contre par match 2.00
0%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique0%
Comets
1-0-0, 2pts
Jour 5
Rocket
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceOTL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-0-1
2.00Buts par match 1.00
1.00Buts contre par match 1.00
0.00%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique100.00%
Comets
1-0-0, 2pts
Jour 7
Rocket
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceOTL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-0-1
2.00Buts par match 1.00
1.00Buts contre par match 1.00
0.00%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Rasmus Asplund
1
Passes
Jakob Silfverberg
2
Points
Jakob Silfverberg
2
Plus/Moins
Rasmus Asplund
1
Victoires
Mads Sogaard
1
Pourcentage d’arrêts
Mads Sogaard
0.967

Statistiques d’équipe
Buts pour
2
2.00 GFG
Tirs pour
58
58.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
50.0%
Buts contre
1
1.00 GAA
Tirs contre
30
30.00 Avg
Pourcentage en désavantage numérique
0%%
0 GA
Début de la zone défensive
25.7%
Informations de l'équipe

Directeur généralMatsLP
EntraîneurJoel Bouchard
DivisionMetropolitan Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro28
Équipe Mineure20
Limite contact 48 / 90
Espoirs33


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
1Pierre Engvall0X98.005350886291857760567167626461690746402811,800,000$
2Jiri Kulich0X98.00503890707684606446657063655060087630202875,000$
3Jakob Silfverberg0X99.00514789608581805752666465627883070630341775,000$
4Dominic Toninato0X98.00554385628275606171676362635464087610301775,000$
5Joe Snively0X98.00503983667671616560696458625060087610283900,000$
6Jesse Puljujarvi0X100.0078458160867360584963666266617002561N02631,000,000$
7Sheldon Rempal0X98.00503685687574646340646959705060087610291775,000$
8Jakob Pelletier0X98.00533883667573606058656463625060087600231850,000$
9David Gustafsson0X99.005948845687736058816462666553630846002431,000,000$
10Mathias Emilio Pettersen0X100.00504075597860606140656362625060087590242825,000$
11Rasmus Kupari0X100.006945905684736051716158645255640875902411,000,000$
12Rasmus Asplund0X99.005041755879606062406762626150600845902711,400,000$
13Jack Thompson0X97.00504191648077607820686267615060065630222875,000$
14Robert Hagg0X98.00534888548773607120626167615867086620293910,000$
15Ty Smith0X98.00504075607860607920676368625060081610242900,000$
16Mikko Kokkonen0X99.00504575538460607320626168615060087600231850,000$
17Domenick Fensore (R)0X99.00503375637060607420646168615060087600232875,000$
18Tobias Bjornfot0X99.00514587558374606620595968605262087600232950,000$
Rayé
1Ross Johnston0X100.00927374519371605258615962555467024590302775,000$
2Nathan Legare0X100.00504775508660605540606262615060024560231850,000$
3Eetu Liukas (R)0XXX100.00504675508660605440606062605060024560223875,000$
4Alex Doucet (R)0X100.00504575528360605540616162615060024560222775,000$
5Eemil Viro0X100.00504175558060607120616068605060023590222875,000$
6Evan Nause (R)0X100.00504275538160606920605968605060023580213775,000$
7Thimo Nickl (R)0X100.00504475528460606920605968605060023580232775,000$
MOYENNE D’ÉQUIPE99.0055448158826962634164626461536306460
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
1Mads Sogaard099.00687673917272697372707169680847102421,000,000$
2Jakub Skarek0100.0060706787646462656462637168087650251775,000$
Rayé
1Jan Bednar0100.0049636088525350535349516666024560222775,000$
MOYENNE D’ÉQUIPE99.675970678963636064636062696706564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard75757575757575CAN5060$


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
1Jakob SilfverbergComets (NJD)RW1022100012110%01919.080000000000000%011002.1000000000
2David GustafssonComets (NJD)C1011100413020%01818.8500000000000080.00%501001.0600000000
3Joe SnivelyComets (NJD)C1011000206110%02424.3200013000000038.10%2110000.8200000000
4Rasmus AsplundComets (NJD)C11011002131133.33%01818.850000000000010%000001.0600000001
5Sheldon RempalComets (NJD)RW11010000062516.67%22424.300000300000100%000000.8200000000
6Mathias Emilio PettersenComets (NJD)LW1000000100020%01313.650000000000000%00000000000000
7Ty SmithComets (NJD)D1000000104100%02929.450001400000000%01000000000000
8Jakob PelletierComets (NJD)LW1000000306010%02424.300000300000000%01000000000000
9Jiri KulichComets (NJD)RW1000000409130%02626.68000240000000100.00%14000000000000
10Jack ThompsonComets (NJD)D1000100101100%33434.680000400000000%01000000000000
11Mikko KokkonenComets (NJD)D1000000012010%22222.850001300000000%00100000000000
12Dominic ToninatoComets (NJD)C1000000324020%02626.3000004000000072.22%360100000000000
13Domenick FensoreComets (NJD)D1000000213120%02222.850000300000000%00100000000000
14Jesse PuljujarviComets (NJD)RW1000000402210%11313.630000000000000%11000000000000
15Robert HaggComets (NJD)D1000100303110%03030.380000000000000%00100000000000
16Rasmus KupariComets (NJD)C1000000400000%01313.4500000000000060.00%50000000000000
17Tobias BjornfotComets (NJD)D1000055020000%32525.570000000000000%00000000001000
18Pierre EngvallComets (NJD)LW1000000304030%02727.20000140000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne182465553795812263.45%1141623.13000639000001161.43%70106000.2900001001
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 (NJD)11000.9670.72830013014000010010
Statistiques d’équipe totales ou en moyenne11000.9670.7283001301400010010


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex DoucetComets (NJD)LW222002-01-12CANYes198 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm775,000$719,643$0$0$No775,000$--------775,000$--------No--------
David Gustafsson (contrat à 1 volet)Comets (NJD)C242000-04-11SWENo212 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm1,000,000$928,571$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Domenick FensoreComets (NJD)D232001-09-07USAYes151 Lbs5 ft7NoNoN/ANoNo2FalseFalsePro & Farm875,000$812,500$0$0$No875,000$--------875,000$--------No--------
Dominic ToninatoComets (NJD)C301994-03-09USANo191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Eemil ViroComets (NJD)D222002-04-03FINNo183 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm875,000$812,500$0$0$No875,000$--------875,000$--------No--------
Eetu LiukasComets (NJD)C/LW/RW222002-09-25FINYes205 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm875,000$812,500$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------
Evan NauseComets (NJD)D212003-01-20CANYes186 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm775,000$719,643$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Jack ThompsonComets (NJD)D222002-03-19CANNo183 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm875,000$812,500$0$0$No875,000$--------875,000$--------No--------
Jakob PelletierComets (NJD)LW232001-03-07CANNo170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm850,000$789,286$0$0$No---------------------------
Jakob SilfverbergComets (NJD)RW341990-10-13SWENo207 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Jakub SkarekComets (NJD)G251999-11-10CZENo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Jan BednarComets (NJD)G222002-08-26CZENo196 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm775,000$719,643$0$0$No775,000$--------775,000$--------No--------
Jesse Puljujarvi (contrat à 1 volet)Comets (NJD)RW261998-05-07FINNo201 Lbs6 ft4YesNoN/ANoNo3FalseFalsePro & Farm1,000,000$928,571$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------YesYes-------
Jiri KulichComets (NJD)RW202004-04-14CZENo171 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm875,000$812,500$0$0$No875,000$--------875,000$--------No--------
Joe SnivelyComets (NJD)C281996-01-01USANo176 Lbs5 ft9NoNoN/ANoNo3FalseFalsePro & Farm900,000$835,714$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Mads SogaardComets (NJD)G242000-12-13DNKNo199 Lbs6 ft7NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$928,571$0$0$No1,000,000$--------1,000,000$--------No--------
Mathias Emilio PettersenComets (NJD)LW242000-04-03NORNo180 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm825,000$766,071$0$0$No825,000$--------825,000$--------No--------
Mikko KokkonenComets (NJD)D232001-01-18FINNo198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm850,000$789,286$0$0$No---------------------------
Nathan LegareComets (NJD)RW232001-01-11CANNo208 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm850,000$789,286$0$0$No---------------------------
Pierre Engvall (contrat à 1 volet)Comets (NJD)LW281996-05-31SWENo219 Lbs6 ft5NoNoTrade2025-03-02NoNo1FalseFalsePro & Farm1,800,000$1,671,429$650,000$603,571$No---------------------------
Rasmus Asplund (contrat à 1 volet)Comets (NJD)C271997-12-03SWENo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,400,000$1,300,000$250,000$232,143$No---------------------------
Rasmus KupariComets (NJD)C242000-03-15FINNo200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$928,571$0$0$No---------------------------
Robert Hagg (contrat à 1 volet)Comets (NJD)D291995-02-08SWENo210 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm910,000$845,000$0$0$No910,000$910,000$-------910,000$910,000$-------NoNo-------
Ross JohnstonComets (NJD)LW301994-02-18CANNo230 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm775,000$719,643$0$0$No775,000$--------775,000$--------No--------
Sheldon RempalComets (NJD)RW291995-08-07CANNo165 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm775,000$719,643$0$0$No---------------------------
Thimo NicklComets (NJD)D232001-12-04AUTYes196 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm775,000$719,643$0$0$No775,000$--------775,000$--------No--------
Tobias BjornfotComets (NJD)D232001-04-06SWENo200 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm950,000$882,143$0$0$No950,000$--------950,000$--------No--------
Ty SmithComets (NJD)D242000-03-24CANNo180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm900,000$835,714$0$0$No900,000$--------900,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2824.82193 Lbs6 ft11.86913,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pierre EngvallDominic ToninatoJiri Kulich35014
2Jakob PelletierJoe SnivelySheldon Rempal30023
3Rasmus AsplundDavid GustafssonJakob Silfverberg25023
4Mathias Emilio PettersenRasmus KupariJesse Puljujarvi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack ThompsonRobert Hagg40023
2Tobias BjornfotTy Smith35023
3Domenick FensoreMikko Kokkonen25023
4Jack ThompsonTobias Bjornfot0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pierre EngvallDominic ToninatoJiri Kulich60005
2Jakob PelletierJoe SnivelySheldon Rempal40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack ThompsonTy Smith60005
2Domenick FensoreMikko Kokkonen40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1David GustafssonJakob Silfverberg60041
2Rasmus KupariJesse Puljujarvi40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggTobias Bjornfot60041
2Jack ThompsonMikko Kokkonen40041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1David Gustafsson60122Robert HaggTobias Bjornfot60122
2Rasmus Kupari40122Domenick FensoreMikko Kokkonen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dominic ToninatoPierre Engvall60122
2David GustafssonJiri Kulich40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert HaggJack Thompson60122
2Tobias BjornfotTy Smith40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pierre EngvallDominic ToninatoJiri KulichJack ThompsonTy Smith
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rasmus KupariDavid GustafssonJakob SilfverbergRobert HaggTobias Bjornfot
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Pierre Engvall, Jiri Kulich, Jakob SilfverbergDavid Gustafsson, Jakob SilfverbergJakob Pelletier
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Robert Hagg, Ty Smith, Tobias BjornfotRobert HaggTy Smith, Domenick Fensore
Tirs de pénalité
Pierre Engvall, Sheldon Rempal, Joe Snively, Dominic Toninato, Jiri Kulich
Gardien
#1 : Mads Sogaard, #2 : Jakub Skarek
Lignes d’attaque personnalisées en prolongation
Dominic Toninato, Pierre Engvall, Joe Snively, Jiri Kulich, David Gustafsson, Jakob Silfverberg, Rasmus Kupari, Jakob Pelletier, Jesse Puljujarvi, Rasmus Asplund
Lignes de défense personnalisées en prolongation
Jack Thompson, Tobias Bjornfot, Robert Hagg, Ty Smith, Domenick Fensore


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
1Rocket11000000211110000002110000000000021.0002460001015820149153011537400.00%000%0213560.00%91850.00%131776.47%342021112714
Total11000000211110000002110000000000021.0002460001015820149153011537400.00%000%0213560.00%91850.00%131776.47%342021112714
_Since Last GM Reset11000000211110000002110000000000021.0002460001015820149153011537400.00%000%0213560.00%91850.00%131776.47%342021112714
_Vs Conference11000000211110000002110000000000021.0002460001015820149153011537400.00%000%0213560.00%91850.00%131776.47%342021112714

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
12W124658301153700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
110000021
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000021
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
400.00%000%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
20149150101
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
213560.00%91850.00%131776.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
342021112714


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
12Rocket1Comets2WXSommaire du match
310Rocket-Comets-
518Comets-Rocket-
726Comets-Rocket-
934Rocket-Comets-
1142Comets-Rocket-
1350Rocket-Comets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,947,500$ 1,947,500$ 0$0$
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$ 13 0$ 0$




Comets Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Comets Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Comets Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Comets Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Comets Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA