Rocket

GP: 78 | W: 40 | L: 34 | OTL: 4 | P: 84
GF: 279 | GA: 269 | PP%: 19.56% | PK%: 77.65%
DG: Simon Deschamps | Morale : 50 | Moyenne d'Équipe : 52
Prochain matchs #1208 vs Sound Tigers
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire Moyen
1Dryden HuntXX100.00844776727157866234645567455858050620232817,500$
2Lane PedersonX100.00737175667170696274606365644444050600221560,000$
3Brett Murray (R)X100.00858193618172765750545668534444050590215775,000$
4Ryan LombergX100.00767079666866616350576563674444050590244600,000$
5Alexandre FortinXX100.00736192616568756045515766545757050580225750,000$
6Justin KloosXX100.00726681606472725872585761554545050570252792,500$
7Jack RodewaldX100.00716487686271745150515062455050050560254706,000$
8Alexander Dergachyov (R)X100.00374343437035353743373743403230050390231700,000$
9Andy WelinskiX100.00808090687565645925465072495758050620261560,000$
10Taylor FedunX100.00675790717263666125554765255859050610314450,000$
11Colton WhiteX100.00776990666973804825423964375555050600225788,865$
12Joshua JacobsX100.00797588677573804825394263404444050590231560,000$
13Brady Keeper (R)X100.00667253687262664825394256404444050550233775,000$
Rayé
1Brandon Duhaime (R)XX100.00737569687566705150504760454444050550222650,000$
2Kalle KossilaXX100.00736390536458545770546062584646050550261925,000$
3Dante Salituro (R)X100.00414545455139394145414145433230050410222725,000$
4Fredrik Karlstrom (R)X100.00394343435437373943393943413230050400212700,000$
5Pavel Kraskovsky (R)X100.00323737376831313237323237343230050350231525,000$
6Kyle WoodX100.00838381669070764825404067394444050600231560,000$
7Damir Sharipzyanov (R)X100.00414545456839394145414145433230050420232560,000$
MOYENNE D'ÉQUIPE100.0066627260695963514348485946454405054
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
1Charlie Lindgren100.0052587775515354575255304646050550
2Emil Larmi100.0048536668454750544748304444050510
Rayé
1Roman Will100.0040454271393737373753513532050430
2Patrik Bartosak (R)100.0032373471323131313131293230050360
MOYENNE D'ÉQUIPE100.004348557142424345424735393805046
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Dryden HuntRocket (Mon)LW/RW78314677-27002661633411052659.09%38158920.38611175317300061366337.66%15400000.9726000646
2Taylor FedunRocket (Mon)D781351641522054871285410010.16%90152019.502810421340111151210.00%000000.8400000311
3Brett MurrayRocket (Mon)LW782829572558101311122456615111.43%38116014.87000290001386042.86%9100000.9800020352
4Colin BlackwellMontrealC/LW622035552260133137289641926.92%18112818.204610401110000213156.95%45300000.9801000316
5Alexandre FortinRocket (Mon)LW/RW57282452-1280139129315942398.89%22106918.76561159125000002246.03%6300000.9700000434
6Jack RodewaldRocket (Mon)RW711728452514052611602911010.63%1377410.9000003000081240.38%5200001.1600000112
7Kyle WoodRocket (Mon)D7511294017107252174784346513.10%103142819.043710331340000131100.00%000000.5600121114
8Joshua JacobsRocket (Mon)D78122537105751473893225612.90%81114314.661672334000285200.00%000100.6500001043
9Justin KloosRocket (Mon)C/RW57928372332069114166371115.42%1689415.69000010001610056.39%70400000.8311000120
10Lane PedersonRocket (Mon)C438233162806688150471185.33%1065015.120111100000101060.00%44000000.9500000122
11Joakim RyanMontrealD3982129-116053589243618.70%8190623.24527421030001103010.00%000000.6400000011
12Colton WhiteRocket (Mon)D57619251024068416820458.82%5487015.283581537000148000.00%000000.5700000121
13Andy WelinskiRocket (Mon)D4161016-924086427923567.59%7686621.13123341070002103100.00%000000.3700000011
14Ryan LombergRocket (Mon)LW48871526038389116678.79%73527.3400029000260131.82%2200000.8501000011
15Brady KeeperRocket (Mon)D40066-5275587239200.00%2845711.4300023000025000.00%100000.2600001000
16Brandon DuhaimeRocket (Mon)LW/RW1011000602010.00%11616.800000000000000.00%000001.1900000000
17Damir SharipzyanovRocket (Mon)D21000-100641240.00%101487.090000000000000.00%000000.0000000000
18Alexander DergachyovRocket (Mon)C19000000381110.00%3985.1900000000000044.06%14300000.0000000000
Stats d'équipe Total ou en Moyenne9432053825871065294515921174232866616628.81%6891507515.99305484348100101117932251153.51%212300100.7839143242934
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
1Charlie LindgrenRocket (Mon)78403240.9033.4344824125626390510.84219780161
2Emil LarmiRocket (Mon)70200.9372.6023100101590000.0000078000
Stats d'équipe Total ou en Moyenne85403440.9053.3947134126627980510.842197878161


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexander DergachyovRocket (Mon)C231996-09-27Yes200 Lbs6 ft4NoNoNo1Pro & Farm700,000$30,107$70,000$3,011$NoLien
Alexandre FortinRocket (Mon)LW/RW221997-02-25No175 Lbs6 ft0NoNoNo5Pro & Farm750,000$32,258$75,000$3,226$No750,000$750,000$750,000$750,000$Lien
Andy WelinskiRocket (Mon)D261993-04-27No206 Lbs6 ft1YesNoNo1Pro & Farm560,000$24,086$56,000$2,409$NoLien
Brady KeeperRocket (Mon)D231996-06-05Yes194 Lbs6 ft2NoNoNo3Pro & Farm775,000$33,333$77,500$3,333$No775,000$775,000$Lien
Brandon DuhaimeRocket (Mon)LW/RW221997-05-22Yes201 Lbs6 ft2NoNoNo2Pro & Farm650,000$27,956$65,000$2,796$No650,000$Lien
Brett MurrayRocket (Mon)LW211998-07-20Yes216 Lbs6 ft4NoNoNo5Pro & Farm775,000$33,333$77,500$3,333$No775,000$775,000$775,000$775,000$Lien
Charlie LindgrenRocket (Mon)G251993-12-17No190 Lbs6 ft2NoNoNo3Pro & Farm785,000$33,763$78,500$3,376$No785,000$785,000$Lien
Colton WhiteRocket (Mon)D221997-05-03No185 Lbs6 ft1NoNoNo5Pro & Farm789,999$33,978$78,886$3,393$No789,999$787,777$787,760$787,654$Lien
Damir SharipzyanovRocket (Mon)D231996-02-17Yes205 Lbs6 ft2NoNoNo2Pro & Farm560,000$24,086$56,000$2,409$No560,000$Lien
Dante SalituroRocket (Mon)C221996-11-15Yes175 Lbs5 ft9NoNoNo2Pro & Farm725,000$31,182$72,500$3,118$No725,000$Lien
Dryden HuntRocket (Mon)LW/RW231995-11-24No197 Lbs6 ft0NoNoNo2Pro & Farm817,500$35,161$81,750$3,516$No817,500$Lien
Emil LarmiRocket (Mon)G231996-09-28No185 Lbs6 ft0NoNoNo4Pro & Farm792,500$34,086$79,250$3,409$No792,500$792,500$792,500$Lien
Fredrik KarlstromRocket (Mon)C211998-01-12Yes176 Lbs6 ft2NoNoNo2Pro & Farm700,000$30,107$70,000$3,011$No700,000$Lien
Jack RodewaldRocket (Mon)RW251994-02-14No169 Lbs6 ft0NoNoNo4Pro & Farm706,000$30,365$70,600$3,037$No706,000$706,000$706,000$Lien
Joshua JacobsRocket (Mon)D231996-02-15No201 Lbs6 ft2YesNoNo1Pro & Farm560,000$24,086$56,000$2,409$NoLien
Justin KloosRocket (Mon)C/RW251993-11-30No180 Lbs5 ft9NoNoNo2Pro & Farm792,500$34,086$79,250$3,409$No792,500$Lien
Kalle KossilaRocket (Mon)C/LW261993-04-14No175 Lbs5 ft11NoNoNo1Pro & Farm925,000$39,784$92,500$3,978$NoLien
Kyle WoodRocket (Mon)D231996-05-04No235 Lbs6 ft7YesNoNo1Pro & Farm560,000$24,086$56,000$2,409$NoLien
Lane PedersonRocket (Mon)C221997-08-04No192 Lbs6 ft1YesNoNo1Pro & Farm560,000$24,086$56,000$2,409$NoLien
Patrik BartosakRocket (Mon)G261993-03-29Yes194 Lbs6 ft1NoNoNo3Pro & Farm560,000$24,086$56,000$2,409$No560,000$560,000$Lien
Pavel KraskovskyRocket (Mon)C231996-09-11Yes194 Lbs6 ft4NoNoNo1Pro & Farm525,000$22,580$52,500$2,258$NoLien
Roman WillRocket (Mon)G271992-05-22No195 Lbs6 ft1NoNoNo1Pro & Farm750,000$32,258$75,000$3,226$NoLien
Ryan LombergRocket (Mon)LW241994-12-09No190 Lbs5 ft10NoNoNo4Pro & Farm600,000$25,806$60,000$2,581$No600,000$600,000$600,000$Lien
Taylor FedunRocket (Mon)D311988-06-04No198 Lbs6 ft1NoNoNo4Pro & Farm450,000$19,354$45,000$1,935$No450,000$450,000$450,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2423.79193 Lbs6 ft12.50682,021$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dryden Hunt40122
2Alexandre Fortin30122
3Ryan LombergLane PedersonJustin Kloos20122
4Brett MurrayAlexander DergachyovJack Rodewald10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Taylor Fedun40122
2Colton WhiteJoshua Jacobs30122
3Brady KeeperBrett Murray20122
4Taylor Fedun10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dryden Hunt60122
2Alexandre Fortin40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Taylor Fedun60122
2Colton WhiteJoshua Jacobs40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Dryden Hunt40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Taylor Fedun60122
2Colton WhiteJoshua Jacobs40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Taylor Fedun60122
240122Colton WhiteJoshua Jacobs40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Dryden Hunt40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Taylor Fedun60122
2Colton WhiteJoshua Jacobs40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dryden HuntTaylor Fedun
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dryden HuntTaylor Fedun
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lane Pederson, Ryan Lomberg, Justin KloosLane Pederson, Ryan LombergJustin Kloos
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brady Keeper, Colton White, Joshua JacobsBrady KeeperColton White, Joshua Jacobs
Tirs de Pénalité
, , Dryden Hunt, , Lane Pederson
Gardien
#1 : Charlie Lindgren, #2 : Emil Larmi


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
1Admirals2010000179-21000000123-11010000056-110.250713200011593659629981062105549731932517457.14%16475.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
2Baby Hawks11000000651110000006510000000000021.00061016001159365945998106210554940128275120.00%4175.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
3Bears31200000915-61010000037-42110000068-220.333916250011593659141998106210554914159287514428.57%13284.62%01361285047.75%1200267744.83%617130647.24%190013301823564997496
4Bruins42200000171522110000010822110000077040.5001731480011593659162998106210554914040288811218.18%13653.85%01361285047.75%1200267744.83%617130647.24%190013301823564997496
5Cabaret Lady Mary Ann440000002481622000000124822000000124881.0002442660011593659277998106210554917038241283266.67%11190.91%01361285047.75%1200267744.83%617130647.24%190013301823564997496
6Caroline31200000111101010000034-12110000087120.33311193000115936599299810621055491123630647114.29%15380.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
7Chiefs2010010048-41010000025-31000010023-110.2504711001159365955998106210554976161562300.00%40100.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
8Chill1010000037-41010000037-40000000000000.000358001159365933998106210554956198242150.00%4250.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
9Comets21100000431110000003121010000012-120.50048120011593659579981062105549541823482150.00%80100.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
10Cougars401010111717020100010101002000100177050.6251731480011593659171998106210554914051249219421.05%10550.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
11Crunch413000001216-420200000611-52110000065120.2501223350011593659167998106210554916243441138112.50%22481.82%01361285047.75%1200267744.83%617130647.24%190013301823564997496
12Heat220000001138110000006241100000051441.0001119300011593659101998106210554972152349600.00%7185.71%01361285047.75%1200267744.83%617130647.24%190013301823564997496
13Jayhawks21100000871110000004221010000045-120.5008142200115936591049981062105549752619449333.33%30100.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
14Las Vegas2010001068-2100000105411010000014-320.50068140011593659749981062105549841721475120.00%8275.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
15Manchots33000000161061100000064222000000106461.0001632480011593659117998106210554910021208713215.38%10370.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
16Marlies30201000611-52010100058-31010000013-220.3336111700115936591089981062105549119404852900.00%16381.25%01361285047.75%1200267744.83%617130647.24%190013301823564997496
17Minnesota21100000972110000005141010000046-220.5009182700115936591179981062105549852512547114.29%50100.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
18Monarchs2010010057-21010000012-11000010045-110.25059140011593659829981062105549771910498225.00%40100.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
19Monsters321000001165211000006421100000052340.667112031011159365911599810621055497419107610220.00%5180.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
20Monsters2110000047-3110000003211010000015-420.50046100011593659659981062105549741512633133.33%6183.33%01361285047.75%1200267744.83%617130647.24%190013301823564997496
21Oceanics211000009901010000046-21100000053220.5009182700115936596499810621055497024856400.00%4250.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
22Oil Kings2110000067-1110000005321010000014-320.50061218001159365976998106210554985221246300.00%6183.33%01361285047.75%1200267744.83%617130647.24%190013301823564997496
23Phantoms31200000516-111010000005-521100000511-620.33358130011593659919981062105549126431661700.00%7357.14%01361285047.75%1200267744.83%617130647.24%190013301823564997496
24Senators42200000151412110000089-12110000075240.500152843101159365916199810621055491305124941119.09%12191.67%01361285047.75%1200267744.83%617130647.24%190013301823564997496
25Sharks21100000862110000006331010000023-120.500816240011593659769981062105549611634387114.29%60100.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
26Sound Tigers22000000853110000004221100000043141.00081422001159365976998106210554958138477114.29%40100.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
27Spiders312000001113-2211000009901010000024-220.33311193000115936591109981062105549783424741218.33%10460.00%01361285047.75%1200267744.83%617130647.24%190013301823564997496
28Stars211000006511010000023-11100000042220.500611170011593659839981062105549593010486116.67%5260.00%11361285047.75%1200267744.83%617130647.24%190013301823564997496
29Thunder422000001284211000007432110000054140.5001221330011593659160998106210554910724329513430.77%15566.67%01361285047.75%1200267744.83%617130647.24%190013301823564997496
Total78343402242279269104018170103115214210381617012111271270840.538279501780111159365931439981062105549279984063419352254419.56%2645977.65%11361285047.75%1200267744.83%617130647.24%190013301823564997496
30Wolf Pack31000020963210000106421000001032161.00091221001159365910199810621055491013527834250.00%11281.82%01361285047.75%1200267744.83%617130647.24%190013301823564997496
_Since Last GM Reset78343402242279269104018170103115214210381617012111271270840.538279501780111159365931439981062105549279984063419352254419.56%2645977.65%11361285047.75%1200267744.83%617130647.24%190013301823564997496
_Vs Conference341514011211281121617960002072571517680110156551380.5591282283560011593659148499810621055491288364277885861719.77%1142181.58%11361285047.75%1200267744.83%617130647.24%190013301823564997496
_Vs Division1246000004148-7723000002529-4523000001619-380.3334175116001159365946299810621055494601417333430516.67%32875.00%11361285047.75%1200267744.83%617130647.24%190013301823564997496

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7884W127950178031432799840634193511
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7834342242279269
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4018171031152142
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3816171211127127
Derniers 10 Matchs
WLOTWOTL SOWSOL
360100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2254419.56%2645977.65%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
998106210554911593659
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
1361285047.75%1200267744.83%617130647.24%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
190013301823564997496


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 - 2020-10-238Rocket2Caroline3LSommaire du Match
4 - 2020-10-2519Rocket1Marlies3LSommaire du Match
8 - 2020-10-2944Rocket1Crunch2LSommaire du Match
9 - 2020-10-3048Cougars6Rocket5LSommaire du Match
11 - 2020-11-0166Chiefs5Rocket2LSommaire du Match
14 - 2020-11-0486Thunder3Rocket2LSommaire du Match
16 - 2020-11-0699Minnesota1Rocket5WSommaire du Match
18 - 2020-11-08114Rocket2Chiefs3LXSommaire du Match
19 - 2020-11-09125Rocket4Minnesota6LSommaire du Match
23 - 2020-11-13145Sharks3Rocket6WSommaire du Match
25 - 2020-11-15163Marlies5Rocket1LSommaire du Match
29 - 2020-11-19191Rocket4Jayhawks5LSommaire du Match
30 - 2020-11-20195Rocket1Las Vegas4LSommaire du Match
32 - 2020-11-22206Rocket4Stars2WSommaire du Match
35 - 2020-11-25224Bruins7Rocket5LSommaire du Match
37 - 2020-11-27240Rocket4Phantoms2WSommaire du Match
39 - 2020-11-29255Monarchs2Rocket1LSommaire du Match
42 - 2020-12-02273Monsters0Rocket3WSommaire du Match
45 - 2020-12-05296Rocket2Bears6LSommaire du Match
46 - 2020-12-06305Spiders4Rocket5WSommaire du Match
49 - 2020-12-09322Rocket5Monsters2WSommaire du Match
50 - 2020-12-10331Senators4Rocket5WSommaire du Match
53 - 2020-12-13354Wolf Pack3Rocket4WXXSommaire du Match
56 - 2020-12-16374Bruins1Rocket5WSommaire du Match
58 - 2020-12-18390Spiders5Rocket4LSommaire du Match
60 - 2020-12-20404Phantoms5Rocket0LSommaire du Match
61 - 2020-12-21417Rocket6Bruins2WSommaire du Match
63 - 2020-12-23425Sound Tigers2Rocket4WSommaire du Match
65 - 2020-12-25439Monsters2Rocket3WSommaire du Match
66 - 2020-12-26448Rocket3Wolf Pack2WXXSommaire du Match
70 - 2020-12-30474Rocket5Manchots3WSommaire du Match
71 - 2020-12-31485Senators5Rocket3LSommaire du Match
74 - 2021-01-03508Cougars4Rocket5WXXSommaire du Match
77 - 2021-01-06532Rocket1Comets2LSommaire du Match
79 - 2021-01-08545Rocket5Heat1WSommaire du Match
81 - 2021-01-10555Rocket1Oil Kings4LSommaire du Match
83 - 2021-01-12577Rocket5Oceanics3WSommaire du Match
88 - 2021-01-17595Rocket2Thunder3LSommaire du Match
89 - 2021-01-18608Rocket6Cabaret Lady Mary Ann2WSommaire du Match
91 - 2021-01-20618Rocket6Caroline4WSommaire du Match
93 - 2021-01-22629Thunder1Rocket5WSommaire du Match
95 - 2021-01-24647Manchots4Rocket6WSommaire du Match
97 - 2021-01-26660Oceanics6Rocket4LSommaire du Match
98 - 2021-01-27669Rocket3Cougars4LXXSommaire du Match
100 - 2021-01-29679Oil Kings3Rocket5WSommaire du Match
102 - 2021-01-31693Rocket6Senators3WSommaire du Match
104 - 2021-02-02709Heat2Rocket6WSommaire du Match
106 - 2021-02-04725Baby Hawks5Rocket6WSommaire du Match
107 - 2021-02-05731Rocket1Phantoms9LSommaire du Match
109 - 2021-02-07748Las Vegas4Rocket5WXXSommaire du Match
118 - 2021-02-16768Bears7Rocket3LSommaire du Match
121 - 2021-02-19782Rocket5Crunch3WSommaire du Match
123 - 2021-02-21794Cabaret Lady Mary Ann3Rocket9WSommaire du Match
124 - 2021-02-22807Monsters4Rocket3LSommaire du Match
126 - 2021-02-24815Rocket2Spiders4LSommaire du Match
128 - 2021-02-26828Admirals3Rocket2LXXSommaire du Match
130 - 2021-02-28846Marlies3Rocket4WXSommaire du Match
132 - 2021-03-02860Jayhawks2Rocket4WSommaire du Match
134 - 2021-03-04877Rocket1Bruins5LSommaire du Match
136 - 2021-03-06892Rocket5Manchots3WSommaire du Match
137 - 2021-03-07900Stars3Rocket2LSommaire du Match
140 - 2021-03-10923Rocket4Cougars3WXSommaire du Match
142 - 2021-03-12935Rocket4Bears2WSommaire du Match
144 - 2021-03-14952Rocket1Senators2LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
147 - 2021-03-17969Comets1Rocket3WSommaire du Match
149 - 2021-03-19985Wolf Pack1Rocket2WSommaire du Match
151 - 2021-03-211004Caroline4Rocket3LSommaire du Match
154 - 2021-03-241020Rocket4Sound Tigers3WSommaire du Match
156 - 2021-03-261034Rocket3Thunder1WSommaire du Match
158 - 2021-03-281055Rocket6Cabaret Lady Mary Ann2WSommaire du Match
161 - 2021-03-311071Chill7Rocket3LSommaire du Match
163 - 2021-04-021084Crunch6Rocket4LSommaire du Match
166 - 2021-04-051112Rocket5Admirals6LSommaire du Match
168 - 2021-04-071131Rocket4Monarchs5LXSommaire du Match
170 - 2021-04-091145Rocket2Sharks3LSommaire du Match
172 - 2021-04-111154Rocket1Monsters5LSommaire du Match
175 - 2021-04-141177Crunch5Rocket2LSommaire du Match
177 - 2021-04-161192Cabaret Lady Mary Ann1Rocket3WSommaire du Match
179 - 2021-04-181208Sound Tigers-Rocket-
182 - 2021-04-211234Rocket-Baby Hawks-
183 - 2021-04-221240Rocket-Chill-
186 - 2021-04-251262Rocket-Marlies-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets4220
Assistance58,44726,378
Assistance PCT73.06%65.95%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
1 2121 - 70.69% 74,558$2,982,334$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,860,111$ 1,636,850$ 1,636,736$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
8,800$ 1,860,042$ 24 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
74,558$ 8 8,800$ 70,400$




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