Comets
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Patrick Tremblay | Morale : 40 | Moyenne d'Équipe : 64
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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
1Dennis Everberg (R)X100.007135827778707275657673717355514040710242999,000$
2J.T. Brown (R)X100.007137747172707575687375716661573340710261999,000$
3Taylor Beck (R)X100.007525797382777175787278636959503940710251999,000$
4Brendan Gaunce (R)X100.006035747768747476788275586451465440700221975,000$
5Teemu Pulkkinen (R)X100.006824757673787176716671647852484432690241900,000$
6Andrej Nestrasil (R)X100.007133777466726869768068536657553540680251800,000$
7Joshua Leivo (R)X100.006626807275737472716775596849454440680231975,000$
8Jake Virtanen (R)X100.007439716981607973667175555646436040670202700,000$
9Brendan Perlini (R)X100.006522817476687166636382537144436038660202700,000$
10Dominik Kahun (R)X100.005530806757757371848167535849446133660211500,000$
11Denis Gurianov (R)X100.005627817564677272636383446344427640650191500,000$
12Michael Ferland (R)X100.007264726580588270616567576547483840650241600,000$
13Wiley Sherman (R)X100.006536897570817669657866726757446240710212950,000$
14Nikita Tryamkin (R)X100.007335786774726073607868725152445140700212850,000$
15Juuso Riikola (R)X100.006751727276656866537563666356514040680231500,000$
16Kurtis Macdermid (R)X100.008060695575617561446748655247505540650222500,000$
17Oliver Kylington (R)X100.006029757955606671357856674944425840650191500,000$
Rayé
1Tyler Graovac (R)X100.005733606650586067676363595745453440600231400,000$
2Taylor Leier (R)X100.004827765460605464515567496344444040570221400,000$
3Rasmus Asplund (R)X100.005525636447614569535962467541415838570192500,000$
4Thomas DiPauli (R)X100.005329796761745549525753535344444140560221400,000$
5Jaedon Descheneau (R)X100.004139625250615955646163354443453740540211400,000$
6Oskar Steen (R)X100.006431545671436452485954495040406240530182500,000$
7Dmitry Sokolov (R)X100.003820635052454949384758356040406440470182500,000$
8Olli Juolevi (R)X100.005632728052425176296345644140407240600182500,000$
9Jordan Gross (R)X100.006628625959616462356464574444484040600211400,000$
10Jeremy Roy (R)X100.005137545854495554325844474041425340510191400,000$
MOYENNE D'ÉQUIPE100.00623472686664666758676557594846503963
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
1Alexandar Georgiev100.00588964787670768085775849456940740
2Niklas Treutle100.00636671727267696873716962553032690
3Thatcher Demko100.00716576535978786457816947435940660
Rayé
MOYENNE D'ÉQUIPE100.0064737068697274717276655348533770
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lanne MacDonald75586370346237USA702325,000$


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
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


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexandar GeorgievComets (Van)G201996-01-01No178 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$No
Andrej NestrasilComets (Van)C251991-01-01Yes200 Lbs6 ft3NoNoNo1Pro & Farm800,000$800,000$0$0$No
Brendan GaunceComets (Van)C221994-01-01Yes207 Lbs6 ft3NoNoNo1Pro & Farm975,000$975,000$0$0$No
Brendan PerliniComets (Van)LW201996-01-01Yes211 Lbs6 ft3NoNoNo2Pro & Farm700,000$700,000$0$0$No800,000$
Denis GurianovComets (Van)RW191997-01-01Yes200 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$0$0$No
Dennis EverbergComets (Van)RW241992-01-01Yes205 Lbs6 ft4NoNoNo2Pro & Farm999,000$999,000$0$0$No999,000$
Dmitry SokolovComets (Van)LW181998-01-01Yes209 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Dominik KahunComets (Van)C211995-01-01Yes175 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$0$0$No
J.T. BrownComets (Van)RW261990-01-01Yes170 Lbs5 ft10NoNoNo1Pro & Farm999,000$999,000$0$0$No
Jaedon DescheneauComets (Van)RW211995-01-01Yes192 Lbs5 ft9NoNoNo1Farm Only400,000$400,000$0$0$No
Jake VirtanenComets (Van)RW201996-01-01Yes226 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$0$0$No800,000$
Jeremy RoyComets (Van)D191997-01-01Yes187 Lbs6 ft0NoNoNo1Farm Only400,000$400,000$0$0$No
Jordan GrossComets (Van)D211995-01-01Yes190 Lbs5 ft10NoNoNo1Pro & Farm400,000$400,000$0$0$No
Joshua LeivoComets (Van)RW231993-01-01Yes204 Lbs6 ft1NoNoNo1Pro & Farm975,000$975,000$0$0$No
Juuso RiikolaComets (Van)D231993-01-01Yes189 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$No
Kurtis MacdermidComets (Van)D221994-01-01Yes233 Lbs6 ft5NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Michael FerlandComets (Van)LW241992-01-01Yes215 Lbs6 ft2NoNoNo1Pro & Farm600,000$600,000$0$0$No
Nikita TryamkinComets (Van)D211995-01-01Yes180 Lbs6 ft7NoNoNo2Pro & Farm850,000$850,000$0$0$No900,000$
Niklas TreutleComets (Van)G261990-01-01No185 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$
Oliver KylingtonComets (Van)D191997-01-01Yes183 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$No
Olli JuoleviComets (Van)D181998-01-01Yes183 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Oskar SteenComets (Van)C181998-01-01Yes194 Lbs5 ft9NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Rasmus AsplundComets (Van)C191997-01-01Yes190 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Taylor BeckComets (Van)LW251991-01-01Yes203 Lbs6 ft2NoNoNo1Pro & Farm999,000$999,000$0$0$No
Taylor LeierComets (Van)LW221994-01-01Yes174 Lbs5 ft10NoNoNo1Farm Only400,000$400,000$0$0$No
Teemu PulkkinenComets (Van)LW241992-01-01Yes183 Lbs5 ft11NoNoNo1Pro & Farm900,000$900,000$0$0$No
Thatcher DemkoComets (Van)G201996-01-01No192 Lbs6 ft4NoNoNo1Pro & Farm800,000$800,000$0$0$No
Thomas DiPauliComets (Van)C221994-01-01Yes188 Lbs5 ft11NoNoNo1Farm Only400,000$400,000$0$0$No
Tyler GraovacComets (Van)C231993-01-01Yes212 Lbs6 ft5NoNoNo1Farm Only400,000$400,000$0$0$No
Wiley ShermanComets (Van)D211995-01-01Yes185 Lbs6 ft6NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3021.53195 Lbs6 ft11.37646,567$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 :


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
LigueDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match 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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,939,700$ 1,325,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
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