Stars

GP: 4 | W: 0 | L: 4 | OTL: 0 | P: 0
GF: 4 | GA: 6 | PP%: 4.55% | PK%: 85.19%
DG: Guillaume Blanchet | Morale : 10 | Moyenne d'Équipe : 64
Prochain matchs vs Avalanche
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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
1Jay Beagle (R)X100.005536827084757869996774896176714571710
2Joonas Donskoi (R)X100.005037937872796873618275766362576350700
3Tim KennedyX100.00704388697084806479626261619885970660
4Cal O'ReillyX100.005241827169538070886165687699896548660
5Stanislav Galiev (R)X100.005542686967676859598662626171675464650
6Oliver Bjorkstrand (R)X100.004735847565606772597071646056468766640
7Garrett Wilson (R)X100.008195586467818575535453635666715272630
8Chris Wagner (R)X100.007044817069476861815262665765655566610
9Brendan Perlini (R)X100.005335787580596168305469588054529566610
10Jordan Weal (R)X100.004735757661536264815761668662486359600
11Patrice Cormier (R)X100.006272716264606362765960565080685461590
12Petr Straka (R)X100.005569836866677161565450605665654869590
13Laurent Dauphin (R)X100.005536687168526158704955745656458759580
14Justin Dowling (R)X100.004535817262454158595550635466624721560
15Andrej SustrX100.005939887592749064256656815080754663720
16Ben Chiarot (R)X100.008346767281688467256257805064615569700
17Evgeny Medvedev (R)X100.006842777273766573256661725065644845670
18Michal Jordan (R)X100.006238907374667475516958706056574635660
19Brady Skjei (R)X100.007243777580587363257153685761617959660
20Josh Morrissey (R)X100.006941777669667462255854745458588717650
21Taylor Fedun (R)X100.005235766874647064255750685175705219630
Rayé
1Dylan Strome (R)X100.004835877174474050584741504952499521510
2Petteri Lindbohm (R)X100.006738717078637057255352645072677120620
3Jakob Chychrun (R)X100.006744747578526052305458695650489519610
4Morgan Ellis (R)X100.005067726364586768255854605058584719580
5Trevor Carrick (R)X100.004963706363627160255546575056564919570
MOYENNE D'ÉQUIPE100.00594678717263696451615867586662614863
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
1Michael Garnett100.00605077807299999999789399992856810
2Laurent Brossoit (R)100.00667686797773798282695862627166740
Rayé
1Zane McIntyre (R)100.00595567736772707171615862576320650
MOYENNE D'ÉQUIPE100.0062607777728183848469707473544773
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Gordon57496259887064USA533600,000$


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
1Jay BeagleStars (DAL)C4145120121515386.67%49122.770114180110210057.86%14024001.1011000002
2Joonas DonskoiStars (DAL)LW4404100151261133.33%79122.891013181012210066.67%621000.8700000100
3Oliver BjorkstrandStars (DAL)RW411206044151096.67%06215.5000001400000000.00%404000.6400000000
4Tim KennedyStars (DAL)LW410107510313367.69%17619.2100001300011300100.00%312000.2600100010
5Cal O'ReillyStars (DAL)C40110604109180.00%16315.80000013000000058.11%7411000.3200000000
6Ben ChiarotStars (DAL)D4011-11009117320.00%810125.36000221000021000.00%024000.2000000000
7Michal JordanStars (DAL)D4011020134300.00%35413.700000000001000.00%012000.3600000000
8Brady SkjeiStars (DAL)D4011-195755230.00%48120.46000012000011000.00%023000.2400010000
9Chris WagnerStars (DAL)C4000000413020.00%3246.1300000000010044.44%900000.0000000000
10Patrice CormierStars (DAL)LW4000055212030.00%0246.050000000001000.00%010000.0000100000
11Luca SbisaStarsD4000-175977130.00%1010526.33000120000024000.00%027000.0000001000
12Petr StrakaStars (DAL)RW4000000000000.00%030.820000100000000.00%000000.0000000000
13Stanislav GalievStars (DAL)RW4000-295839350.00%24110.370000000000000.00%100000.0000010000
14Justin DowlingStars (DAL)C4000000010000.00%082.2400000000060040.00%500000.0000000000
15Garrett WilsonStars (DAL)LW4000-2001134220.00%24210.550000000000000.00%220000.0000000000
16Evgeny MedvedevStars (DAL)D4000020859210.00%98320.99000212000213000.00%012000.0000000000
17Jordan WealStars (DAL)C4000-220149250.00%14210.5300000000000051.35%3710000.0000000000
18Josh MorrisseyStars (DAL)D4000100241020.00%55614.210000000007000.00%000000.0000000000
19Laurent DauphinStars (DAL)C4000000010000.00%082.210000200000000.00%000000.0000000000
20Brendan PerliniStars (DAL)RW4000000223350.00%0215.430000000000000.00%010000.0000000000
Stats d'équipe Total ou en Moyenne807916-66725958812744755.51%60108613.581121215111251460055.52%2811930000.2911221112
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
1Laurent BrossoitStars (DAL)10100.9233.05590033922000.000013000
2Michael GarnettStars (DAL)30210.9262.6817920810851000.000031000
Stats d'équipe Total ou en Moyenne40310.9252.76239201114773000.000044000


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 CONT StatusType Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Andrej SustrStars (DAL)D261991-08-03 17:11:13No228 Lbs6 ft8NoNoNo3Avec RestrictionPro & Farm1,500,000$1,500,000$1,500,000$
Ben ChiarotStars (DAL)D251992-08-02 23:11:13Yes217 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm850,000$
Brady SkjeiStars (DAL)D241994-03-26 16:15:30Yes205 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm925,000$925,000$
Brendan PerliniStars (DAL)RW221996-04-27 13:26:48Yes211 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm863,333$863,333$863,333$
Cal O'ReillyStars (DAL)C301987-08-03 17:11:13No199 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm600,000$600,000$600,000$
Chris WagnerStars (DAL)C251992-08-02 23:11:13Yes205 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm900,000$
Dylan StromeStars (DAL)C211997-03-07 13:29:38Yes185 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm863,333$863,333$863,333$
Evgeny MedvedevStars (DAL)D351982-08-26 16:16:57Yes187 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm3,000,000$3,000,000$
Garrett WilsonStars (DAL)LW251992-08-02 23:11:13Yes203 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm575,000$575,000$575,000$
Jakob ChychrunStars (DAL)D201998-03-31 13:31:18Yes200 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm925,000$925,000$925,000$
Jay BeagleStars (DAL)C311986-08-03 11:11:13Yes217 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm800,000$800,000$
Joonas DonskoiStars (DAL)LW261992-04-13 16:18:31Yes180 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm1,137,000$1,137,000$
Jordan WealStars (DAL)C261992-04-14 16:19:58Yes179 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm632,000$632,000$
Josh MorrisseyStars (DAL)D231995-03-28 16:21:22Yes194 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm700,000$700,000$
Justin DowlingStars (DAL)C271990-10-01 04:01:49Yes185 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm650,000$650,000$650,000$
Laurent BrossoitStars (DAL)RW251993-03-22 13:26:44Yes202 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm925,000$925,000$
Laurent DauphinStars (DAL)C231995-03-27 16:22:44Yes180 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm894,000$894,000$
Michael GarnettStars (DAL)D341983-08-03 17:11:14No216 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,000,000$2,000,000$
Michal JordanStars (DAL)D261991-08-03 17:11:13Yes197 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm575,000$
Morgan EllisStars (DAL)D261992-04-29 16:24:56Yes204 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm632,000$632,000$
Oliver BjorkstrandStars (DAL)RW231995-04-09 16:26:08Yes166 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm863,000$863,000$
Patrice CormierStars (DAL)LW271990-08-03 11:11:13Yes223 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm575,000$
Petr StrakaStars (DAL)RW241993-08-03 05:11:13Yes186 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm925,000$
Petteri LindbohmStars (DAL)D231994-08-03 11:11:13Yes213 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm636,667$
Stanislav GalievStars (DAL)RW241993-08-03 05:11:13Yes190 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm595,000$
Taylor FedunStars (DAL)D281989-08-03 05:11:13Yes200 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm675,000$
Tim KennedyStars (DAL)LW301987-08-03 17:11:13No180 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm600,000$600,000$600,000$
Trevor CarrickStars (DAL)D231994-07-04 16:27:27Yes186 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm733,000$733,000$
Zane McIntyreStars (DAL)RW251992-08-20 04:07:18Yes206 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm650,000$650,000$650,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2925.76198 Lbs6 ft12.03903,425$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Joonas DonskoiJay BeagleStanislav Galiev40122
2Tim KennedyCal O'ReillyOliver Bjorkstrand30122
3Garrett WilsonChris WagnerBrendan Perlini20122
4Patrice CormierJordan WealPetr Straka10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej SustrBen Chiarot40122
2Evgeny MedvedevMichal Jordan30122
3Brady SkjeiJosh Morrissey20122
4Taylor FedunAndrej Sustr10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Joonas DonskoiJay BeagleStanislav Galiev60122
2Tim KennedyCal O'ReillyOliver Bjorkstrand40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej SustrBen Chiarot60122
2Evgeny MedvedevMichal Jordan40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jay BeagleJoonas Donskoi60122
2Cal O'ReillyTim Kennedy40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej SustrBen Chiarot60122
2Evgeny MedvedevMichal Jordan40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jay Beagle60122Andrej SustrBen Chiarot60122
2Joonas Donskoi40122Evgeny MedvedevMichal Jordan40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jay BeagleJoonas Donskoi60122
2Cal O'ReillyTim Kennedy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andrej SustrBen Chiarot60122
2Evgeny MedvedevMichal Jordan40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joonas DonskoiJay BeagleStanislav GalievAndrej SustrBen Chiarot
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joonas DonskoiJay BeagleStanislav GalievAndrej SustrBen Chiarot
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Laurent Dauphin, Justin Dowling, Garrett WilsonLaurent Dauphin, Justin DowlingGarrett Wilson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brady Skjei, Josh Morrissey, Taylor FedunBrady SkjeiJosh Morrissey, Taylor Fedun
Tirs de Pénalité
Jay Beagle, Joonas Donskoi, Cal O'Reilly, Tim Kennedy, Stanislav Galiev
Gardien
#1 : Michael Garnett, #2 : Laurent Brossoit


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
1Avalanche40400000711-42020000046-22020000035-200.00071017003310137436232014762821032214.55%27485.19%16211653.45%6411754.70%335560.00%874785386834
Total40400000711-42020000046-22020000035-200.00071017003310137436232014762821032214.55%27485.19%16211653.45%6411754.70%335560.00%874785386834
_Since Last GM Reset40400000711-42020000046-22020000035-200.00071017003310137436232014762821032214.55%27485.19%16211653.45%6411754.70%335560.00%874785386834
_Vs Conference40400000711-42020000046-22020000035-200.00071017003310137436232014762821032214.55%27485.19%16211653.45%6411754.70%335560.00%874785386834
_Vs Division40400000711-42020000046-22020000035-200.00071017003310137436232014762821032214.55%27485.19%16211653.45%6411754.70%335560.00%874785386834

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
40L271017137147628210300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4040000711
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000046
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
202000035
Derniers 10 Matchs
WLOTWOTL SOWSOL
030100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2214.55%27485.19%1
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
43623203310
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
6211653.45%6411754.70%335560.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
874785386834


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 - 2017-10-016Stars2Avalanche3LR3Sommaire du Match
4 - 2017-10-0314Stars1Avalanche2LXSommaire du Match
6 - 2017-10-0522Avalanche3Stars2LR3Sommaire du Match
8 - 2017-10-0730Avalanche3Stars2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3525
Assistance35871786
Assistance PCT89.68%89.30%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 2687 - 89.55% 126,796$253,591$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,619,933$ 1,696,766$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
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
1240400000711-42020000046-22020000035-2071017003310137436232014762821032214.55%27485.19%16211653.45%6411754.70%335560.00%874785386834
Total Séries40400000711-42020000046-22020000035-2071017003310137436232014762821032214.55%27485.19%16211653.45%6411754.70%335560.00%874785386834