Stars

GP: 13 | W: 7 | L: 6 | OTL: 0 | P: 14
GF: 37 | GA: 34 | PP%: 20.00% | PK%: 82.81%
DG: Guillaume Blanchet | Morale : 60 | Moyenne d'Équipe : 67
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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)X100.005334847079757876997481966179744577740
2Joonas Donskoi (R)X100.004431997872796880618982816365606377740
3Tanner Pearson (R)X100.007142847974859772737867796273667476730
4Oliver Bjorkstrand (R)X100.006441878364829875517566625467526378690
5Chris Wagner (R)X100.009543767271819865786564705767595078680
6Brendan Perlini (R)X100.006942837581829071666772595574538577680
7Derek DorsettX100.009499526774748560585760755085891478660
8Vincent Hinostroza (R)X100.005941807557789072637165645467524877660
9Tim KennedyX100.00674091696984806580636359619987978660
10Stanislav Galiev (R)X100.006249616972676863589066606173695477660
11Tyson Jost (R)X100.006041817466808568676664645268518818650
12Jordan Weal (R)X100.005841827761818967726765595468526377650
13Brady Skjei (R)X100.007443866881869873307270745665537878710
14Ben Chiarot (R)X100.007542796483757273307167845963555077700
15Evgeny Medvedev (R)X100.007044757273766576256964755068674875690
16Jakob Chychrun (R)X100.007241926778856776307171665466528677680
17Michal Jordan (R)X100.005733957375667476517059756058594677670
18Taylor Fedun (R)X100.005943736875647071256457675178735218650
Rayé
1Cal O'ReillyX100.005443807174538075896670667699936573680
2Garrett Wilson (R)X100.008852516472818576515554665668735220640
3Laurent Dauphin (R)X100.005346646169678160676157745157517520610
4Brendan Woods (R)X100.006268766969616761526652625565595220600
5Michael Sgarbossa (R)X100.005034847270556458725855575663644920580
6Justin Dowling (R)X100.003828887267454151604843635468644720530
7Luca SbisaX100.007341917178845979307772836678686969730
8Trevor Carrick (R)X100.005847585071619960306256605056505820590
9Morgan Ellis (R)X100.004360796369586768255854605061614720580
MOYENNE D'ÉQUIPE100.00644579707273786955686469577063575766
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 Garnett100.00605077807299999999789399992877810
2Laurent Brossoit (R)100.00758080847783828585735273664777780
Rayé
1Zane McIntyre (R)100.00595567786873717272615863586320660
MOYENNE D'ÉQUIPE100.0065627581728584858571687874465875
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Gordon57496259887064USA542600,000$


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
1Joonas DonskoiStars (DAL)LW1161016200202844184113.64%424722.4944811560005490037.31%67113001.2900000201
2Jay BeagleStars (DAL)C11311142100232926132111.54%924422.210772560001441160.78%30615001.1500000101
3Oliver BjorkstrandStars (DAL)RW1377144100261750143614.00%426820.6335813660001231137.50%8124001.0400000210
4Tim KennedyStars (DAL)LW133364551313158920.00%214010.8200000000031075.86%2924000.8500100000
5Tanner PearsonStars (DAL)LW11426-2120282437162110.81%621019.152133460002191053.57%2883000.5700000001
6Stanislav GalievStars (DAL)RW1315611003313239114.35%417513.47000020000100025.00%431000.6900000001
7Chris WagnerStars (DAL)C13235260433217112311.76%720415.70011124000091048.41%15723000.4900000010
8Cal O'ReillyStars (DAL)C11325-2802122244812.50%618116.52314839000060048.48%19863000.5500000002
9Brendan PerliniStars (DAL)RW13325-212027235111275.88%423318.00213753000002041.67%1272000.4300000100
10Luca SbisaStars (DAL)D72244201421162812.50%1117324.77112639000030000.00%023000.4600000000
11Vincent HinostrozaStars (DAL)RW13033-4001512238130.00%21209.2401129000030050.00%661000.5000000000
12Michal JordanStars (DAL)D13123-40052565216.67%820415.73011012000011010.00%005000.2900000000
13Derek DorsettStars (DAL)LW13022-514027911070.00%415612.070000100001150041.18%1702000.2600000000
14Brady SkjeiStars (DAL)D11112160151814437.14%1628025.46101561000248000.00%0310000.1400000000
15Evgeny MedvedevStars (DAL)D130221180141711330.00%1422617.45000223000022000.00%013000.1800000000
16Taylor FedunStars (DAL)D6011-360613100.00%59916.560000100007000.00%021000.2000000000
17Jordan WealStars (DAL)C13101-60051414167.14%41098.4000000000000037.14%3524000.1800000000
18Tyson JostStars (DAL)C4000000020300.00%0205.0500000000030066.67%600000.0000000000
19Brendan WoodsStars (DAL)LW2000000000000.00%000.410000000000000.00%000000.0000000000
20Michael SgarbossaStars (DAL)C2000000000000.00%073.52000000000300100.00%100000.0000000000
21Justin DowlingStars (DAL)C2000000000000.00%000.420000000000000.00%000000.0000000000
22Ben ChiarotStars (DAL)D13000-5120232812740.00%1729923.00000155000038000.00%0210000.0000000000
23Morgan EllisStars (DAL)D2000000000000.00%010.740000000000000.00%000000.0000000000
24Trevor CarrickStars (DAL)D2000100220100.00%63919.570000000000000.00%003000.0000000000
25Jakob ChychrunStars (DAL)D13000120182011540.00%1929322.58000050000035000.00%075000.0000000000
Stats d'équipe Total ou en Moyenne238375895-1013353783704081442479.07%152393816.5516233961612000123877352.29%8747775000.4800100626
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
1Michael GarnettStars (DAL)116500.9092.816620031340151000.0000112101
2Laurent BrossoitStars (DAL)21010.9551.221470036734000.0000211010
Stats d'équipe Total ou en Moyenne137510.9162.528090034407185000.00001313111


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
Ben ChiarotStars (DAL)D271991-09-09 23:11:13Yes217 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm1,000,000$0$0$No
Brady SkjeiStars (DAL)D251994-03-26 16:15:30Yes209 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm925,000$0$0$No
Brendan PerliniStars (DAL)RW231996-04-27 13:26:48Yes213 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm863,333$0$0$No
Brendan WoodsStars (DAL)LW261992-06-11 05:11:13Yes196 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm600,000$0$0$No
Cal O'ReillyStars (DAL)C321986-09-30 17:11:13No201 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm600,000$0$0$No
Chris WagnerStars (DAL)C281991-05-27 23:11:13Yes207 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm800,000$0$0$No
Derek DorsettStars (DAL)LW321986-12-20 17:11:13No196 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm700,000$0$0$No
Evgeny MedvedevStars (DAL)D361982-08-27 16:16:57Yes187 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm3,000,000$0$0$No
Garrett WilsonStars (DAL)LW281991-03-16 23:11:13Yes203 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm575,000$0$0$No
Jakob ChychrunStars (DAL)D211998-03-31 13:31:18Yes202 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$No
Jay BeagleStars (DAL)C331985-10-16 11:11:13Yes218 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm800,000$0$0$No
Joonas DonskoiStars (DAL)LW271992-04-13 16:18:31Yes182 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm1,137,000$0$0$No
Jordan WealStars (DAL)C271992-04-15 16:19:58Yes181 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm632,000$0$0$No
Justin DowlingStars (DAL)C281990-10-01 04:01:49Yes185 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm650,000$0$0$No
Laurent BrossoitStars (DAL)G261993-03-22 13:26:44Yes203 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm925,000$0$0$No
Laurent DauphinStars (DAL)C241995-03-27 16:22:44Yes183 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm894,000$0$0$No
Luca SbisaStars (DAL)D291990-01-30 17:11:13No208 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$No
Michael GarnettStars (DAL)G361982-11-25 17:11:14No217 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm2,000,000$0$0$No
Michael SgarbossaStars (DAL)C261992-07-25 05:11:13Yes180 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm600,000$0$0$No
Michal JordanStars (DAL)D281990-07-17 17:11:13Yes198 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm700,000$0$0$No
Morgan EllisStars (DAL)D271992-04-30 16:24:56Yes207 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm632,000$0$0$No
Oliver BjorkstrandStars (DAL)RW241995-04-10 16:26:08Yes167 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm863,000$0$0$No
Stanislav GalievStars (DAL)RW271992-01-17 05:11:13Yes193 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm600,000$0$0$No
Tanner PearsonStars (DAL)LW261992-08-10 05:11:13Yes205 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm1,500,000$0$0$No
Taylor FedunStars (DAL)D311988-06-04 05:11:13Yes201 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm575,000$0$0$No
Tim KennedyStars (DAL)LW331986-04-30 17:11:13No180 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm600,000$0$0$No
Trevor CarrickStars (DAL)D241994-07-04 16:27:27Yes189 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm733,000$0$0$No
Tyson JostStars (DAL)C211998-03-14 11:00:15Yes191 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm1,704,170$0$0$No
Vincent HinostrozaStars (DAL)RW251994-04-03 09:14:16Yes174 Lbs5 ft9NoNoNo2Avec RestrictionPro & Farm717,500$0$0$No
Zane McIntyreStars (DAL)G261992-08-20 04:07:18Yes208 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm650,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3027.53197 Lbs6 ft11.87930,033$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Joonas DonskoiJay BeagleOliver Bjorkstrand35122
2Tanner PearsonChris WagnerBrendan Perlini35122
3Derek DorsettJordan WealStanislav Galiev25122
4Tim KennedyTyson JostVincent Hinostroza5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brady SkjeiBen Chiarot35122
2Evgeny MedvedevJakob Chychrun35122
3Michal JordanTaylor Fedun30122
4Brady SkjeiBen Chiarot0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Joonas DonskoiJay BeagleOliver Bjorkstrand60122
2Tanner PearsonChris WagnerBrendan Perlini40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brady SkjeiBen Chiarot60122
2Evgeny MedvedevJakob Chychrun40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jay BeagleJoonas Donskoi60122
2Tanner PearsonOliver Bjorkstrand40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brady SkjeiBen Chiarot60122
2Evgeny MedvedevJakob Chychrun40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jay Beagle60122Brady SkjeiBen Chiarot60122
2Joonas Donskoi40122Evgeny MedvedevJakob Chychrun40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jay BeagleJoonas Donskoi60122
2Tanner PearsonOliver Bjorkstrand40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brady SkjeiBen Chiarot60122
2Evgeny MedvedevJakob Chychrun40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joonas DonskoiJay BeagleOliver BjorkstrandBrady SkjeiBen Chiarot
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Joonas DonskoiJay BeagleOliver BjorkstrandBrady SkjeiBen Chiarot
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Stanislav Galiev, Derek Dorsett, Vincent HinostrozaStanislav Galiev, Derek DorsettVincent Hinostroza
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michal Jordan, Taylor Fedun, Evgeny MedvedevMichal JordanTaylor Fedun, Evgeny Medvedev
Tirs de Pénalité
Jay Beagle, Joonas Donskoi, Tanner Pearson, Oliver Bjorkstrand, Brendan Perlini
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
1Avalanche642000002112932100000104632100000118380.6672131520081116219113212813513183715120541921.95%23673.91%019736454.12%17233251.81%8817849.44%285156287128236119
Total1376000003734363300000161427430000021201140.5383758950081116240813212813513407152133378801620.00%641182.81%019736454.12%17233251.81%8817849.44%285156287128236119
3Wild734000001622-631200000610-4422000001012-260.4291627430081116221713212813513224818217339717.95%41587.80%019736454.12%17233251.81%8817849.44%285156287128236119
_Since Last GM Reset1376000003734363300000161427430000021201140.5383758950081116240813212813513407152133378801620.00%641182.81%019736454.12%17233251.81%8817849.44%285156287128236119
_Vs Conference1376000003734363300000161427430000021201140.5383758950081116240813212813513407152133378801620.00%641182.81%019736454.12%17233251.81%8817849.44%285156287128236119
_Vs Division1376000003734363300000161427430000021201140.5383758950081116240813212813513407152133378801620.00%641182.81%019736454.12%17233251.81%8817849.44%285156287128236119

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1314L237589540840715213337800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
137600003734
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300001614
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
74300002120
Derniers 10 Matchs
WLOTWOTL SOWSOL
550000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
801620.00%641182.81%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
13212813513811162
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
19736454.12%17233251.81%8817849.44%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
285156287128236119


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 - 2018-09-306Avalanche2Stars1LXR3Sommaire du Match
4 - 2018-10-0214Avalanche1Stars5WSommaire du Match
6 - 2018-10-0422Stars3Avalanche2WXR3Sommaire du Match
8 - 2018-10-0630Stars2Avalanche3LSommaire du Match
10 - 2018-10-0838Avalanche1Stars4WR3Sommaire du Match
12 - 2018-10-1046Stars6Avalanche3WSommaire du Match
16 - 2018-10-1459Stars1Wild3LR3Sommaire du Match
18 - 2018-10-1663Stars3Wild2WXSommaire du Match
20 - 2018-10-1867Wild2Stars3WR3Sommaire du Match
22 - 2018-10-2071Wild4Stars1LSommaire du Match
24 - 2018-10-2275Stars4Wild2WR3Sommaire du Match
26 - 2018-10-2479Wild4Stars2LSommaire du Match
28 - 2018-10-2683Stars2Wild5LR3Sommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3525
Assistance12,0006,000
Assistance PCT100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
33 3000 - 100.00% 85,500$513,000$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,790,100$ 1,960,100$ 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
131376000003734363300000161427430000021201143758950081116240813212813513407152133378801620.00%641182.81%019736454.12%17233251.81%8817849.44%285156287128236119
Total Séries1376000003734363300000161427430000021201143758950081116240813212813513407152133378801620.00%641182.81%019736454.12%17233251.81%8817849.44%285156287128236119