Comets

GP: 7 | W: 3 | L: 4 | OTL: 0 | P: 6
GF: 32 | GA: 35 | PP%: 29.17% | PK%: 54.29%
DG: Francis Lagace | Morale : 49 | Moyenne d'Équipe : 63
Prochain matchs #127 vs Rampage
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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 SP
1Andrew AgozzinoX100.005638866468776963686263626075684752620
2Alexandre GrenierX100.007238845689939155595553595475685352610
3Janne KuokkanenX100.005636916276796762656156646261637452610
4Austin WagnerX100.008340896274677261556264566163625752610
5Steven FogartyX100.006236905785787156625857595571666251600
6Justin ScottX100.006439825678939055565354565567646152590
7Tobias LindbergX100.007237895586928854525451575367646052590
8Tyler RandellX100.006341775477827653545251545275685752570
9Fredrik ClaessonX100.008342826577835863306756725373675652660
10Yannick WeberX100.007338856372707562306458614779715152630
11Philip SamuelssonX100.006436905479939052305351544575685652610
12Mark FriedmanX100.005437895969847358305653554567646252590
Rayé
MOYENNE D'ÉQUIPE100.00673886597883775849585659547166585261
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
1Jared Coreau100.00728078927170727170727175814552730
2Kasimir Kaskisuo100.00757472837473757473757471755152720
Rayé
1Hunter Miska100.00766563727574767574767567714843710
MOYENNE D'ÉQUIPE100.0074737182737274737274737176484972
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Luke Richardson68676563757075CAN5052,500,000$


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'ÉquipePOS 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
1Janne KuokkanenComets (Van)LW77613211517153993217.95%1214520.764371020000000081.82%1100011.7900001211
2Steven FogartyComets (Van)C7911064072043153520.93%511516.51000413000010070.92%14100011.7300000221
3Tyler RandellComets (Van)RW70101069515174214330.00%511316.18000613000000066.67%600001.7700001022
4Justin ScottComets (Van)C7202275531961110.53%2324.7000000000001074.36%3900001.2200001001
Stats d'équipe Total ou en Moyenne2818173516311544551434411112.59%2440614.544372048000011072.08%19700021.7200003455
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alexandre GrenierComets (Van)RW271991-09-05No200 Lbs6 ft5NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Andrew AgozzinoComets (Van)LW281991-01-03No187 Lbs5 ft10NoNoNo4Sans RestrictionPro & Farm500,000$0$0$NoLien
Austin WagnerComets (Van)LW221997-06-23No185 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Fredrik ClaessonComets (Van)D261992-11-24No196 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm1,000,000$0$0$NoLien
Hunter MiskaComets (Van)G231995-07-07No175 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Janne KuokkanenComets (Van)LW211998-05-25No193 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Jared CoreauComets (Van)G271991-11-05No214 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien
Justin ScottComets (Van)C231995-08-13No202 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Kasimir KaskisuoComets (Van)G251993-10-02No196 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Mark FriedmanComets (Van)D231995-12-25No185 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Philip SamuelssonComets (Van)D271991-07-26No194 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Steven FogartyComets (Van)C261993-04-19No210 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Tobias LindbergComets (Van)RW231995-07-22No215 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Tyler RandellComets (Van)RW281991-06-15No198 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm300,000$0$0$NoLien
Yannick WeberComets (Van)D301988-09-23No200 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm500,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1525.27197 Lbs6 ft22.53416,667$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Janne Kuokkanen40122
2Steven FogartyTyler Randell30122
320122
4Justin Scott10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Janne Kuokkanen60122
2Steven FogartyTyler Randell40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Steven Fogarty40122
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
2Steven Fogarty40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Janne Kuokkanen
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Janne Kuokkanen
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , Steven Fogarty, ,
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
1Admirals220000001275110000005231100000075241.000122335001976010510399830763718478337.50%9366.67%111221252.83%12122553.78%8113460.45%160117180457837
2Griffins1010000035-2000000000001010000035-200.00035800197602510399830391024104125.00%6350.00%011221252.83%12122553.78%8113460.45%160117180457837
3IceHogs1010000056-11010000056-10000000000000.00059140019760511039983039106154250.00%3233.33%011221252.83%12122553.78%8113460.45%160117180457837
4Rampage1010000048-41010000048-40000000000000.000461000197602210399830371121163133.33%8537.50%111221252.83%12122553.78%8113460.45%160117180457837
Total734000003235-3413000001721-4321000001514160.4293253850019760285103998302881008714224729.17%351654.29%211221252.83%12122553.78%8113460.45%160117180457837
6Wolves2110000089-11010000035-21100000054120.500810180019760821039983097321854500.00%9366.67%011221252.83%12122553.78%8113460.45%160117180457837
_Since Last GM Reset734000003235-3413000001721-4321000001514160.4293253850019760285103998302881008714224729.17%351654.29%211221252.83%12122553.78%8113460.45%160117180457837
_Vs Conference734000003235-3413000001721-4321000001514160.4293253850019760285103998302881008714224729.17%351654.29%211221252.83%12122553.78%8113460.45%160117180457837
_Vs Division2340000089-11130000035-21210000054161.500810180019760821039983097321854500.00%9366.67%011221252.83%12122553.78%8113460.45%160117180457837

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
76L33253852852881008714200
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
73400003235
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41300001721
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
32100001514
Derniers 10 Matchs
WLOTWOTL SOWSOL
340000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
24729.17%351654.29%2
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
1039983019760
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
11221252.83%12122553.78%8113460.45%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
160117180457837


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
2 - 2019-09-0314Comets7Admirals5WSommaire du Match
3 - 2019-09-0423Comets5Wolves4WSommaire du Match
4 - 2019-09-0531IceHogs6Comets5LSommaire du Match
7 - 2019-09-0856Admirals2Comets5WSommaire du Match
9 - 2019-09-1069Comets3Griffins5LSommaire du Match
10 - 2019-09-1182Rampage8Comets4LSommaire du Match
13 - 2019-09-14102Wolves5Comets3LSommaire du Match
16 - 2019-09-17127Comets-Rampage-
17 - 2019-09-18132Comets-IceHogs-
19 - 2019-09-20154Griffins-Comets-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 62,500$ 22,180$ 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$ 7 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