Comets

GP: 51 | W: 18 | L: 30 | OTL: 3 | P: 39
GF: 133 | GA: 175 | PP%: 12.25% | PK%: 80.36%
DG: Francis Lagace | Morale : 36 | Moyenne d'Équipe : 58
Prochain matchs #764 vs Rocket
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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
1Dennis RasmussenX97.00685563787974666674626165557268124640
2Andrew AgozzinoX97.00605574736763696150606060557371143610
3Steven FogartyX97.00605565627975696050606060555050150590
4Chris BourqueX98.00595567676159735950585855557374149590
5Janne Kuokkanen (R)X100.00605555726060606050606060555050123580
6Rod PelleyX100.00775569627568695550555555556465165580
7Justin VaiveX100.00665559627975695550555556555050124570
8Justin Scott (R)X100.00735569627969695550555555555050151570
9Mitch MorozX100.00745569637973625550555555555050149570
10Mitchell HeardX100.00595559627569545550555558555050165560
11Tyler RandellX100.00595562647468645550555559555050149560
12Alexandre GrenierX100.00555555555555555550555555557574147540
13Jeremiah Addison (R)X100.00655566557154545850555855555050124540
14Phil LaneX100.00605562555860685550555555555050119540
15Fredrik ClaessonX100.00965578747977677025636179557473165710
16Jan KostalekX100.00595555605555655525555555555353149540
17William Wrenn (R)X100.00575555605555615525555555555353149540
18Philip SamuelssonX100.00555555605555665525555555555353150540
Rayé
1Austin Wagner (R)X100.00565555555859595550555555557271119540
2Kevin Lynch (R)X100.00565555555556555550555555555050148530
3Tobias LindbergX100.00565555555555555550555555555050128520
4Mat ClarkX100.00555555605555635525555555555353150540
5Mark Friedman (R)X100.00555555605555555525555555556262119540
6Michael DowningX100.00555555605555535525555555555555118530
MOYENNE D'ÉQUIPE99.5462556162656263574456565755585714157
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
1Jeff Glass100.0079707280807071788890556967160740
2Kasimir Kaskisuo100.0075635776717171737977557068165700
Rayé
1Jared Coreau100.0056807089656559775968557069120670
2Hunter Miska (R)100.0055678465515655615454555055118560
MOYENNE D'ÉQUIPE100.006670717867666472707255656514167
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Darryl Sutter50836377896452CAN5936,400,000$


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
1Steven FogartyComets (Van)C51192645-1939582115206501499.22%24113622.2921315602220003583050.63%55500000.7900001324
2Andrew AgozzinoComets (Van)LW51142539-4401055145181441057.73%17116622.8775123720612362032051.80%86300000.6714011222
3Chris BourqueComets (Van)LW51152237136060801464410810.27%11106520.8838113521131471523057.33%7500010.6923000042
4Justin ScottComets (Van)C51152136-19681014977181531348.29%995318.6983115616201121010046.90%25800000.7602002230
5Alexandre GrenierComets (Van)RW3962026-159515119456926578.70%6184321.633912431620000112000.00%000000.6200002011
6William WrennComets (Van)D5171522-8580954963214011.11%4892118.0836940156101214100100.00%100000.4800000001
7Mitch MorozComets (Van)LW5110919-10300826112028738.33%1561912.15000000001953152.38%8400000.6100000216
8Tobias LindbergComets (Van)RW398816-12495595071265811.27%870518.0924619141000000248.90%40900000.4500001010
9Philip SamuelssonComets (Van)D5151116-9555644850232710.00%4988017.26325331480000114000.00%000000.3600001100
10Jan KostalekComets (Van)D5121315-61001091432919146.90%6488817.420113640111133000.00%000000.3400110100
11Tyler RandellComets (Van)RW516713-522070377824637.69%752910.37022771000000151.85%2700000.4900000111
12Dennis RasmussenComets (Van)C127411580183838113218.42%428724.002027690003583058.45%28400000.7611000210
13Fredrik ClaessonComets (Van)D124372200401939122610.26%1326622.232022570000145000.00%000000.5200000210
14Janne KuokkanenComets (Van)RW12145380101196811.11%112610.52011374000000042.86%1400000.7900000001
15Justin VaiveComets (Van)LW12145480107136117.69%213010.8700000000000050.00%400000.7700000010
16Mitchell HeardComets (Van)C1232510044133223.08%1726.08123418000090026.92%2600001.3700000020
17Mark FriedmanComets (Van)D7044240672220.00%314921.29011234000033000.00%000000.5400000000
18Rod PelleyComets (Van)C120444801413153100.00%116613.90000000001370053.85%11700000.4800000000
19Mat ClarkComets (Van)D911256020581512.50%717719.76000540000038000.00%000000.2200000010
20Austin WagnerComets (Van)LW11011000020050.00%011.480000000000000.00%0000013.4800000000
21Jeremiah AddisonComets (Van)LW12000-100422010.00%1443.70000010001330057.14%1400000.0000000000
Stats d'équipe Total ou en Moyenne638125203328-8065460105285613354029259.36%3461113317.453657933791856551028137014451.37%273100010.59410128162118
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
1Jeff GlassComets (Van)127410.9171.8169522212520100.6673120111
2Kasimir KaskisuoComets (Van)10001.0000.003000050000.0000012000
Stats d'équipe Total ou en Moyenne137410.9181.7472522212570100.66731212111


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)RW251991-09-04No200 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Andrew AgozzinoComets (Van)LW261991-01-02No187 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Austin WagnerComets (Van)LW191997-06-23Yes185 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Chris BourqueComets (Van)LW301986-01-29No174 Lbs5 ft8NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Dennis RasmussenComets (Van)C261990-07-03No205 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Fredrik ClaessonComets (Van)D241992-11-24No209 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Hunter MiskaComets (Van)G211995-07-07Yes174 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Jan KostalekComets (Van)D211995-02-17No181 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Janne KuokkanenComets (Van)RW181998-05-25Yes187 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Jared CoreauComets (Van)G251991-11-05No235 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Jeff GlassComets (Van)G311985-11-18No206 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm750,000$0$0$No
Jeremiah AddisonComets (Van)LW201996-10-21Yes187 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Justin ScottComets (Van)C211995-08-13Yes201 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Justin VaiveComets (Van)LW271989-07-08No209 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Kasimir KaskisuoComets (Van)G231993-10-02No201 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Kevin LynchComets (Van)C251991-04-23Yes205 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Mark FriedmanComets (Van)D211995-12-25Yes185 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Mat ClarkComets (Van)D261990-10-16No225 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Michael DowningComets (Van)D211995-05-19No205 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm500,000$0$0$No
Mitch MorozComets (Van)LW221994-05-02No214 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Mitchell HeardComets (Van)C241992-03-11No200 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Phil LaneComets (Van)RW241992-05-28No203 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Philip SamuelssonComets (Van)D251991-07-25No194 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Rod PelleyComets (Van)C321984-08-31No200 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm300,000$0$0$No
Steven FogartyComets (Van)C231993-04-19No212 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Tobias LindbergComets (Van)RW211995-07-22No201 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Tyler RandellComets (Van)RW251991-06-14No197 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
William WrennComets (Van)D251991-03-16Yes209 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2823.96200 Lbs6 ft22.07351,786$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andrew AgozzinoDennis RasmussenJanne Kuokkanen40122
2Chris BourqueSteven FogartyTyler Randell30122
3Justin VaiveRod PelleyDennis Rasmussen20122
4Mitch MorozJustin ScottAndrew Agozzino10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonJan Kostalek40122
230122
3William WrennPhilip Samuelsson20122
4Fredrik ClaessonJan Kostalek10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Andrew AgozzinoDennis RasmussenJanne Kuokkanen60122
2Chris BourqueSteven FogartyTyler Randell40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonJan Kostalek60122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Dennis RasmussenAndrew Agozzino60122
2Steven FogartyRod Pelley40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonJan Kostalek60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Dennis Rasmussen60122Fredrik ClaessonJan Kostalek60122
2Andrew Agozzino4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dennis RasmussenAndrew Agozzino60122
2Steven FogartyRod Pelley40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Fredrik ClaessonJan Kostalek60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andrew AgozzinoDennis RasmussenJanne KuokkanenFredrik ClaessonJan Kostalek
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Andrew AgozzinoDennis RasmussenJanne KuokkanenFredrik ClaessonJan Kostalek
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mitchell Heard, , Jeremiah AddisonMitchell Heard, Jeremiah Addison
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
William Wrenn, Philip Samuelsson, William WrennPhilip Samuelsson,
Tirs de Pénalité
Dennis Rasmussen, Andrew Agozzino, Steven Fogarty, Rod Pelley, Chris Bourque
Gardien
#1 : Jeff Glass, #2 : Kasimir Kaskisuo


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
1Americans71600000825-1731200000611-540400000214-1220.1438132100543937413746444946224178459516251611.76%45980.00%0714159344.82%666137048.61%34674346.57%12358641243368604296
2Bruins1010000035-21010000035-20000000000000.000347005439374284644494622431812208225.00%6433.33%0714159344.82%666137048.61%34674346.57%12358641243368604296
3Checkers440000002381522000000123922000000115681.00023386100543937419946444946224114343510811218.18%90100.00%0714159344.82%666137048.61%34674346.57%12358641243368604296
4Crunch725000001723-6413000001113-231200000610-440.286173047015439374134464449462241814910514848510.42%46686.96%2714159344.82%666137048.61%34674346.57%12358641243368604296
5Devils706000101035-2540300010720-1330300000315-1220.1431015250054393741464644494622417251851275147.84%391074.36%0714159344.82%666137048.61%34674346.57%12358641243368604296
6Marlies440000002671911000000633330000002041681.0002646720154393741864644494622495264310322313.64%20385.00%1714159344.82%666137048.61%34674346.57%12358641243368604296
7Monsters30300000413-91010000003-320200000410-600.000471100543937460464449462247522475317211.76%18477.78%0714159344.82%666137048.61%34674346.57%12358641243368604296
8Phantoms11000000211110000002110000000000021.000246005439374304644494622434516107114.29%8187.50%0714159344.82%666137048.61%34674346.57%12358641243368604296
9Rocket50300011816-82010000125-330200010611-530.300813210054393741164644494622411743591162528.00%18477.78%0714159344.82%666137048.61%34674346.57%12358641243368604296
10Senators51300100917-830200100311-82110000066030.300916250054393741114644494622413640729630723.33%30680.00%0714159344.82%666137048.61%34674346.57%12358641243368604296
11Sound Tigers2020000027-51010000004-41010000023-100.000235005439374544644494622433627451500.00%10370.00%0714159344.82%666137048.61%34674346.57%12358641243368604296
12Thunderbirds311001001113-21000010034-12110000089-130.50011193000543937410246444946224973962686116.67%20195.00%1714159344.82%666137048.61%34674346.57%12358641243368604296
Total51153000231133175-4225714002116084-2426816000207391-18390.382133225358025439374138946444946224129638467610873023712.25%2755480.36%5714159344.82%666137048.61%34674346.57%12358641243368604296
14Wolf Pack210000101055110000005141000001054141.00010172700543937486464449462243316183111218.18%6350.00%1714159344.82%666137048.61%34674346.57%12358641243368604296
_Since Last GM Reset51153000231133175-4225714002116084-2426816000207391-18390.382133225358025439374138946444946224129638467610873023712.25%2755480.36%5714159344.82%666137048.61%34674346.57%12358641243368604296
_Vs Conference2310100011176697943001012926314670001047434240.52276129205015439374740464449462246011872945571151412.17%1121784.82%2714159344.82%666137048.61%34674346.57%12358641243368604296

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5139L113322535813891296384676108702
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5115300231133175
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2571402116084
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2681600207391
Derniers 10 Matchs
WLOTWOTL SOWSOL
530110
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3023712.25%2755480.36%5
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
464449462245439374
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
714159344.82%666137048.61%34674346.57%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12358641243368604296


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
3 - 2018-09-071Marlies3Comets6WSommaire du Match
4 - 2018-09-0812Senators5Comets1LSommaire du Match
10 - 2018-09-1433Checkers2Comets7WSommaire du Match
11 - 2018-09-1545Comets6Marlies1WSommaire du Match
12 - 2018-09-1660Comets6Marlies3WSommaire du Match
15 - 2018-09-1963Americans4Comets0LSommaire du Match
17 - 2018-09-2172Monsters3Comets0LSommaire du Match
18 - 2018-09-2285Comets3Crunch5LSommaire du Match
22 - 2018-09-26104Checkers1Comets5WSommaire du Match
24 - 2018-09-28111Comets1Americans3LSommaire du Match
31 - 2018-10-05147Comets2Rocket5LSommaire du Match
32 - 2018-10-06153Comets3Rocket2WXXSommaire du Match
36 - 2018-10-10176Rocket2Comets1LXXSommaire du Match
38 - 2018-10-12181Wolf Pack1Comets5WSommaire du Match
39 - 2018-10-13199Comets1Devils4LSommaire du Match
43 - 2018-10-17218Comets3Senators5LSommaire du Match
45 - 2018-10-19224Crunch4Comets3LSommaire du Match
46 - 2018-10-20237Comets5Wolf Pack4WXXSommaire du Match
50 - 2018-10-24259Rocket3Comets1LSommaire du Match
52 - 2018-10-26270Comets0Americans6LSommaire du Match
53 - 2018-10-27279Senators5Comets2LSommaire du Match
57 - 2018-10-31304Comets2Devils6LSommaire du Match
59 - 2018-11-02309Comets3Senators1WSommaire du Match
60 - 2018-11-03319Comets1Rocket4LSommaire du Match
64 - 2018-11-07344Comets1Americans3LSommaire du Match
66 - 2018-11-09349Thunderbirds4Comets3LXSommaire du Match
67 - 2018-11-10370Comets0Devils5LSommaire du Match
71 - 2018-11-14383Bruins5Comets3LSommaire du Match
73 - 2018-11-16391Devils6Comets1LSommaire du Match
75 - 2018-11-18415Comets5Checkers3WSommaire du Match
77 - 2018-11-20423Comets6Checkers2WSommaire du Match
80 - 2018-11-23440Comets4Thunderbirds8LSommaire du Match
81 - 2018-11-24458Devils7Comets1LSommaire du Match
86 - 2018-11-29472Devils5Comets2LSommaire du Match
87 - 2018-11-30476Comets1Crunch5LSommaire du Match
88 - 2018-12-01490Americans4Comets1LSommaire du Match
92 - 2018-12-05511Crunch5Comets3LSommaire du Match
95 - 2018-12-08531Comets2Monsters5LSommaire du Match
96 - 2018-12-09545Comets2Monsters5LSommaire du Match
99 - 2018-12-12552Comets8Marlies0WSommaire du Match
101 - 2018-12-14562Sound Tigers4Comets0LSommaire du Match
102 - 2018-12-15577Crunch3Comets2LSommaire du Match
106 - 2018-12-19596Crunch1Comets3WSommaire du Match
108 - 2018-12-21606Devils2Comets3WXXSommaire du Match
109 - 2018-12-22621Senators1Comets0LXSommaire du Match
115 - 2018-12-28661Comets0Americans2LSommaire du Match
122 - 2019-01-04685Comets2Crunch0WSommaire du Match
123 - 2019-01-05704Comets4Thunderbirds1WSommaire du Match
129 - 2019-01-11723Phantoms1Comets2WSommaire du Match
130 - 2019-01-12740Americans3Comets5WSommaire du Match
131 - 2019-01-13748Comets2Sound Tigers3LSommaire du Match
134 - 2019-01-16764Rocket-Comets-
137 - 2019-01-19787Comets-Penguins-
138 - 2019-01-20799Monsters-Comets-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-25818Americans-Comets-
144 - 2019-01-26835Comets-Devils-
148 - 2019-01-30852Americans-Comets-
150 - 2019-02-01857Bears-Comets-
151 - 2019-02-02875Comets-Phantoms-
155 - 2019-02-06890Crunch-Comets-
157 - 2019-02-08897Comets-Crunch-
158 - 2019-02-09910Comets-Rocket-
162 - 2019-02-13938Comets-Americans-
164 - 2019-02-15944Thunderbirds-Comets-
165 - 2019-02-16957Wolf Pack-Comets-
169 - 2019-02-20979Comets-Senators-
171 - 2019-02-22984Rocket-Comets-
172 - 2019-02-23997Comets-Crunch-
178 - 2019-03-011029Marlies-Comets-
179 - 2019-03-021043Comets-Crunch-
185 - 2019-03-081074Marlies-Comets-
186 - 2019-03-091088Comets-Wolf Pack-
187 - 2019-03-101101Comets-Bruins-
192 - 2019-03-151116Penguins-Comets-
193 - 2019-03-161129Comets-Bears-
194 - 2019-03-171147Crunch-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
13 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
4,369,487$ 98,500$ 58,458$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 47,814$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 63 33,497$ 2,110,311$




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
1351153000231133175-4225714002116084-2426816000207391-1839133225358025439374138946444946224129638467610873023712.25%2755480.36%5714159344.82%666137048.61%34674346.57%12358641243368604296
Total Saison Régulière51153000231133175-4225714002116084-2426816000207391-1839133225358025439374138946444946224129638467610873023712.25%2755480.36%5714159344.82%666137048.61%34674346.57%12358641243368604296