Admirals

GP: 76 | W: 51 | L: 20 | OTL: 5 | P: 107
GF: 259 | GA: 139 | PP%: 16.67% | PK%: 89.33%
DG: Stéphane Fournier | Morale : 87 | Moyenne d'Équipe : 64
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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
1Justin WilliamsX100.006640767475839573667672647388903655710
2Jason Pominville (C)X100.005635936770738666546870636987803252660
3Patrik BerglundXXX100.008237816789735066786471736879716360660
4Filip ChytilX100.005636916882758866786564676560628461650
5Tage ThompsonX100.007437876893707367596369626463628052650
6Yakov TreninXX100.006637885981949558605654575563626389610
7Austin Poganski (R)XX100.006335935877918757625953585565636291610
8Sam AnasXX100.005135935961918758655955535771665990600
9Jansen HarkinsXX100.005837885774939156595556575663626390600
10Lukas SedlakXXX100.008037855675646056735459655871664757590
11Sammy BlaisXX100.007540915881726256525758596165635665590
12Brandon GignacXX100.005436925766797156635854575263626590580
13Niklas KronwallX100.007340806573859264307658695288783356690
14Jacob Middleton (A)X100.006238855985796958306054635865635687620
15Ben ThomasX100.005936905576939054305551574565636590610
16John GilmourX100.005536916272887161305956584771665338610
17Ethan BearX100.005838865972908458306252564763625963610
18Brandon Hickey (R)X100.006637885581837754305552584565636290610
Rayé
1Samuel KurkerX100.006638855881777156525353565469656779580
2Tanner Kaspick (R)X100.006137885474878153555252545061636459570
3Joseph GambardellaXX100.005935945670615854555753555671664244560
4Otto Somppi (R)X100.006336905479787253585252545361636441560
5Dominik MasinX100.006740795483939153305251565465637283620
6Dysin MayoX100.006238855476939053305251544865636250600
7Emil JohanssonX100.005238855459928953305251554765626320580
MOYENNE D'ÉQUIPE100.00633787597682795850595759566866596661
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
1Jimmy Howard100.00909593818988908988908985893471860
2Louis Domingue100.00797775857877797877797873774868760
Rayé
1Garret Sparks100.00777472847675777675777671754765740
2Jake Oettinger (R)100.00726563937170727170727161658320690
3Jeremy Helvig (R)100.00736361847271737271737263675720690
MOYENNE D'ÉQUIPE100.0078757385777678777678777175544975
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Pascal Vincent72686671736878CAN4741,500,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'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
1Jason PominvilleAdmirals (Nas)RW542630562114033871884312913.83%8104219.30413173417210171703156.46%39500001.0713000635
2Filip ChytilAdmirals (Nas)C42262450238026821795411714.53%1196022.8639122915711241285167.16%67900111.0413000633
3Jansen HarkinsAdmirals (Nas)C/LW7620305030320611121806013111.11%11138518.22246332130000871058.55%117500000.7201000232
4Ben ThomasAdmirals (Nas)D7610324233480675273176113.70%70157620.755813422240110218310.00%000000.5300000143
5Jacob MiddletonAdmirals (Nas)D6710324224620784888438811.36%72153322.8951318552560001237320.00%000000.5501000124
6Brandon GignacAdmirals (Nas)C/LW76122840361202267112217010.71%586811.420118540001382058.01%31200000.9200000221
7Jordan SzwarzNashville PredatorsC/RW2613274018803964104256412.50%464424.7931013159601111102263.53%53200011.2402000531
8Austin PoganskiAdmirals (Nas)LW/RW721723401544086751615711210.56%7125717.468614402640002734061.26%11100020.6401000215
9Tage ThompsonAdmirals (Nas)RW34182139183406859122379414.75%1066519.57358181201012884356.04%18200011.1701000515
10Niklas KronwallAdmirals (Nas)D55112637147351327194225511.70%50129123.497714692120221194300.00%000000.5700000341
11Sam AnasAdmirals (Nas)LW/RW76826341080247115258955.26%6114015.012810221340002622166.67%7200000.6001000003
12Chris WagnerNashville PredatorsC/LW/RW3719143319400108100136439413.97%1989124.104593415502251134058.41%104100020.7412000714
13Yakov TreninAdmirals (Nas)C/LW65122032193007811312938859.30%7128419.76411153822900061543062.19%56600000.5025000312
14Ethan BearAdmirals (Nas)D4352126118115463634203214.71%3794221.93437221480000130010.00%000000.5500020021
15Justin WilliamsAdmirals (Nas)RW111311241880132555114723.64%126323.9122412343036511256.49%13100021.8300000412
16Dominik MasinAdmirals (Nas)D719152445111251214281233911.11%46150821.247411502220002225020.00%000000.3200221111
17Brandon HickeyAdmirals (Nas)D7612324339010103474713312.13%53123916.3102211750110108000.00%000000.3900002100
18Samuel KurkerAdmirals (Nas)RW571112231453157641106236910.38%574713.1211219630000202058.33%6000000.6201102034
19Lukas SedlakAdmirals (Nas)C/LW/RW399132215360655678285811.54%1048812.520003200111213059.86%27900000.9000000111
20Chase BalisyNashville PredatorsC569122125200266365154113.85%558210.41000322000042056.12%54700000.7211000210
21Patrik BerglundAdmirals (Nas)C/LW/RW115162114180302847113810.64%522320.3513410340220432073.93%21100001.8800000222
22Sammy BlaisAdmirals (Nas)LW/RW4191019194210762285205110.59%661615.041349870000592066.04%5300000.6200002023
23Dysin MayoAdmirals (Nas)D435121723531540182882217.86%1965415.22202626000053110.00%000000.5200012110
24Joseph GambardellaAdmirals (Nas)C/LW4387159100132740142420.00%33728.6700001000051033.33%2700000.8000000021
25John GilmourAdmirals (Nas)D27491311220221238112110.53%2554820.331231580000082100.00%000000.4700000200
26Tanner KaspickAdmirals (Nas)C49369210018323911307.69%33497.13000140000210057.70%30500000.5200000100
27Barclay GoodrowNashville PredatorsC/LW/RW414544061211599.09%47719.36112690000130073.68%7600001.2900000000
28Otto SomppiAdmirals (Nas)C39134-1201212133107.69%01423.660000110000101058.33%3600000.5600000000
29Emil JohanssonAdmirals (Nas)D210225601046250.00%922110.5400000000025000.00%000000.1800000000
Stats d'équipe Total ou en Moyenne138729550980452797995149914782491736172211.84%5112352216.9670121191604313561117412555551760.38%679000190.68622359584454
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
1Garret SparksAdmirals (Nas)3121520.9261.67175804496600000.909112822431
2Jimmy HowardAdmirals (Nas)1110100.9560.9165902102260000.0000110111
3Louis DomingueAdmirals (Nas)2110920.9191.83124503384720000.66792135220
4Jake OettingerAdmirals (Nas)85200.9112.0045121151680000.000079100
5Jeremy HelvigAdmirals (Nas)64200.8962.032960210960000.000067100
Stats d'équipe Total ou en Moyenne77501940.9251.66441121212216220000.800207373962


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 Cap 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
Austin PoganskiAdmirals (Nas)LW/RW231996-02-16Yes198 Lbs6 ft1NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$Lien
Ben ThomasAdmirals (Nas)D231996-05-28No180 Lbs6 ft2NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Brandon GignacAdmirals (Nas)C/LW211997-11-07No170 Lbs5 ft11NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Brandon HickeyAdmirals (Nas)D231996-04-13Yes201 Lbs6 ft2NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Dominik MasinAdmirals (Nas)D231996-02-01No198 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Dysin MayoAdmirals (Nas)D221996-08-17No194 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Emil JohanssonAdmirals (Nas)D231996-05-06No189 Lbs5 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Ethan BearAdmirals (Nas)D221997-06-26No197 Lbs5 ft11NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Filip ChytilAdmirals (Nas)C191999-09-05No208 Lbs6 ft2NoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$Lien
Garret SparksAdmirals (Nas)G261993-06-28No201 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$NoLien
Jacob MiddletonAdmirals (Nas)D231996-01-02No210 Lbs6 ft3NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Jake OettingerAdmirals (Nas)G201998-12-18Yes220 Lbs6 ft5NoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$Lien
Jansen HarkinsAdmirals (Nas)C/LW221997-05-23No182 Lbs6 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Jason PominvilleAdmirals (Nas)RW361982-11-30No180 Lbs5 ft11NoNoNo3Pro & Farm5,666,000$0$0$No5,666,000$5,666,000$Lien
Jeremy HelvigAdmirals (Nas)G221997-05-25Yes188 Lbs6 ft4NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Jimmy HowardAdmirals (Nas)G351984-03-26No218 Lbs6 ft1NoNoNo2Pro & Farm3,500,000$0$0$No3,500,000$Lien
John GilmourAdmirals (Nas)D261993-05-17No190 Lbs6 ft0NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Joseph GambardellaAdmirals (Nas)C/LW251993-12-01No196 Lbs5 ft10NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Justin WilliamsAdmirals (Nas)RW371981-10-04No184 Lbs6 ft1NoNoNo2Pro & Farm6,100,000$0$0$No6,100,000$Lien
Louis DomingueAdmirals (Nas)G271992-03-06No210 Lbs6 ft3NoNoNo2Pro & Farm2,500,000$0$0$No2,500,000$Lien
Lukas SedlakAdmirals (Nas)C/LW/RW261993-02-25No205 Lbs6 ft0NoNoNo1Pro & Farm300,000$0$0$NoLien
Niklas KronwallAdmirals (Nas)D381981-01-12No194 Lbs6 ft0NoNoNo1Pro & Farm2,496,000$0$0$NoLien
Otto SomppiAdmirals (Nas)C211998-01-12Yes192 Lbs6 ft2NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Patrik BerglundAdmirals (Nas)C/LW/RW311988-06-02No215 Lbs6 ft4NoNoNo4Pro & Farm2,080,333$0$0$No2,080,333$2,080,333$2,080,333$Lien
Sam AnasAdmirals (Nas)LW/RW261993-06-01No163 Lbs5 ft8NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Sammy BlaisAdmirals (Nas)LW/RW231996-06-17No205 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Samuel KurkerAdmirals (Nas)RW251994-04-08No202 Lbs6 ft2NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Tage ThompsonAdmirals (Nas)RW211997-10-30No205 Lbs6 ft6NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Tanner KaspickAdmirals (Nas)C211998-01-28Yes200 Lbs6 ft0NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Yakov TreninAdmirals (Nas)C/LW221997-01-13No201 Lbs6 ft2NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3025.07197 Lbs6 ft12.801,091,411$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Yakov TreninPatrik BerglundJustin Williams40122
2Austin PoganskiFilip ChytilJason Pominville30122
3Sam AnasJansen HarkinsTage Thompson20122
4Sammy BlaisLukas SedlakJustin Williams10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niklas KronwallJacob Middleton40122
2Ethan BearJohn Gilmour30122
3Brandon HickeyBen Thomas20122
4Niklas KronwallJacob Middleton10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Yakov TreninPatrik BerglundJustin Williams60122
2Austin PoganskiFilip ChytilJason Pominville40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niklas KronwallJacob Middleton60122
2Ethan BearJohn Gilmour40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Justin WilliamsPatrik Berglund60122
2Jason PominvilleFilip Chytil40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niklas KronwallJacob Middleton60122
2Ethan BearJohn Gilmour40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Justin Williams60122Niklas KronwallJacob Middleton60122
2Patrik Berglund40122Ethan BearJohn Gilmour40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Justin WilliamsPatrik Berglund60122
2Jason PominvilleFilip Chytil40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niklas KronwallJacob Middleton60122
2Ethan BearJohn Gilmour40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Yakov TreninPatrik BerglundJustin WilliamsNiklas KronwallJacob Middleton
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Yakov TreninPatrik BerglundJustin WilliamsNiklas KronwallJacob Middleton
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brandon Gignac, Tage Thompson, Jansen HarkinsBrandon Gignac, Tage ThompsonJansen Harkins
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brandon Hickey, Ben Thomas, Ethan BearBrandon HickeyBen Thomas, Ethan Bear
Tirs de Pénalité
Justin Williams, Patrik Berglund, Jason Pominville, Filip Chytil, Tage Thompson
Gardien
#1 : Jimmy Howard, #2 : Louis Domingue


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
1Bears211000005501010000023-11100000032120.5005101500100767876669973179241391113351616.25%30100.00%01418235560.21%1294220758.63%640111257.55%208415131611511902478
2Griffins101000000043123155000000224185500000021813201.00043811240110076787282699731792412135213016034720.59%53492.45%21418235560.21%1294220758.63%640111257.55%208415131611511902478
3Gulls210000016511000000101-11100000064230.75061117001007678756699731792415616314614321.43%13192.31%01418235560.21%1294220758.63%640111257.55%208415131611511902478
4IceHogs121200000061164566000000289196600000033726241.0006111117201100767875246997317924122956119235611524.59%47393.62%11418235560.21%1294220758.63%640111257.55%208415131611511902478
5Monsters4120001089-1211000005502010001034-140.500813210010076787686997317924112830765623417.39%32390.63%01418235560.21%1294220758.63%640111257.55%208415131611511902478
6Moose880000005364744000000293264400000024321161.000531001530310076787350699731792411203948148401230.00%23291.30%11418235560.21%1294220758.63%640111257.55%208415131611511902478
7Penguins21100000330110000001011010000023-120.50036901100767875169973179241391424471100.00%11190.91%01418235560.21%1294220758.63%640111257.55%208415131611511902478
8Rampage823001021422-84120000159-441100101913-470.4381425390010076787146699731792412276210113332515.63%38586.84%01418235560.21%1294220758.63%640111257.55%208415131611511902478
9Reign2200000012111110000005051100000071641.0001223350110076787786997317924137423375120.00%80100.00%01418235560.21%1294220758.63%640111257.55%208415131611511902478
10Stars824010101821-341300000914-54110101097280.5001832500010076787188699731792412035211314135514.29%44784.09%01418235560.21%1294220758.63%640111257.55%208415131611511902478
Total76462002233259139120382213010021227151382470123113768691070.70425947373201110076787224269973179241169646989813253545916.67%3563889.33%51418235560.21%1294220758.63%640111257.55%208415131611511902478
12Wild641010008533110100044033000000413100.8338152303100767871436997317924112330859325416.00%27292.59%01418235560.21%1294220758.63%640111257.55%208415131611511902478
13Wolves1228001102834-6615000001219-7613001101615170.2922846740110076787290699731792412821031351945823.45%571082.46%11418235560.21%1294220758.63%640111257.55%208415131611511902478
_Since Last GM Reset76462002233259139120382213010021227151382470123113768691070.70425947373201110076787224269973179241169646989813253545916.67%3563889.33%51418235560.21%1294220758.63%640111257.55%208415131611511902478
_Vs Conference5632160222217211062281511010018059212817501221925141760.679172310482061007678715736997317924112773556839562453815.51%2663188.35%41418235560.21%1294220758.63%640111257.55%208415131611511902478
_Vs Division16261100212464068137000011720-381340021129209581.81346801260210076787424699731792413751231892777767.79%781185.90%11418235560.21%1294220758.63%640111257.55%208415131611511902478

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
76107W4259473732224216964698981325011
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7646202233259139
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
382213100212271
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
38247123113768
Derniers 10 Matchs
WLOTWOTL SOWSOL
910000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3545916.67%3563889.33%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
6997317924110076787
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
1418235560.21%1294220758.63%640111257.55%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
208415131611511902478


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
4 - 2019-09-0519Admirals2Stars3LSommaire du Match
7 - 2019-09-0828Admirals2Rampage3LXXSommaire du Match
11 - 2019-09-1248Bears3Admirals2LSommaire du Match
12 - 2019-09-1361Admirals1Wolves2LSommaire du Match
15 - 2019-09-1668Admirals7Reign1WSommaire du Match
17 - 2019-09-1880Admirals6Gulls4WSommaire du Match
19 - 2019-09-2098Admirals5Wolves6LXSommaire du Match
21 - 2019-09-22101Rampage4Admirals1LSommaire du Match
24 - 2019-09-25112Monsters4Admirals3LSommaire du Match
25 - 2019-09-26122Moose2Admirals8WSommaire du Match
28 - 2019-09-29136Moose0Admirals4WSommaire du Match
31 - 2019-10-02149IceHogs3Admirals5WSommaire du Match
32 - 2019-10-03159Admirals4Griffins2WSommaire du Match
36 - 2019-10-07174Wolves2Admirals4WSommaire du Match
38 - 2019-10-09188IceHogs2Admirals3WSommaire du Match
40 - 2019-10-11207Admirals4Wolves3WXXSommaire du Match
43 - 2019-10-14221Admirals1Wild0WSommaire du Match
45 - 2019-10-16232Admirals2Wild1WSommaire du Match
46 - 2019-10-17242Reign0Admirals5WSommaire du Match
50 - 2019-10-21261Wild3Admirals0LSommaire du Match
52 - 2019-10-23267Admirals5Griffins1WSommaire du Match
53 - 2019-10-24280IceHogs1Admirals5WSommaire du Match
59 - 2019-10-30314Stars1Admirals2WSommaire du Match
60 - 2019-10-31326Admirals7IceHogs3WSommaire du Match
64 - 2019-11-04345Admirals2Stars1WXSommaire du Match
66 - 2019-11-06357Admirals3Stars2WXXSommaire du Match
67 - 2019-11-07371Admirals0Rampage3LSommaire du Match
70 - 2019-11-10381Griffins0Admirals5WSommaire du Match
73 - 2019-11-13398Stars5Admirals3LSommaire du Match
74 - 2019-11-14406Admirals4Griffins1WSommaire du Match
78 - 2019-11-18431Admirals7IceHogs0WSommaire du Match
81 - 2019-11-21452Wolves6Admirals2LSommaire du Match
85 - 2019-11-25469Wolves3Admirals2LSommaire du Match
88 - 2019-11-28493Admirals1Wild0WSommaire du Match
92 - 2019-12-02516Admirals2IceHogs1WSommaire du Match
95 - 2019-12-05539Admirals2Penguins3LSommaire du Match
96 - 2019-12-06549Admirals3Bears2WSommaire du Match
99 - 2019-12-09555Griffins1Admirals4WSommaire du Match
102 - 2019-12-12584Gulls1Admirals0LXXSommaire du Match
104 - 2019-12-14592Admirals6Moose0WSommaire du Match
106 - 2019-12-16600Admirals6Moose1WSommaire du Match
109 - 2019-12-19622Admirals4Griffins3WSommaire du Match
110 - 2019-12-20635Admirals0Wolves2LSommaire du Match
112 - 2019-12-22644Rampage2Admirals0LSommaire du Match
115 - 2019-12-25662Wild1Admirals2WXSommaire du Match
116 - 2019-12-26668Moose0Admirals7WSommaire du Match
122 - 2020-01-01690Moose1Admirals10WSommaire du Match
123 - 2020-01-02706IceHogs1Admirals7WSommaire du Match
127 - 2020-01-06721Stars2Admirals1LSommaire du Match
129 - 2020-01-08728Penguins0Admirals1WSommaire du Match
130 - 2020-01-09734Wolves4Admirals2LSommaire du Match
133 - 2020-01-12758Rampage2Admirals1LXXSommaire du Match
138 - 2020-01-17795Admirals4Moose1WSommaire du Match
139 - 2020-01-18806Admirals8Moose1WSommaire du Match
143 - 2020-01-22819Admirals0Monsters2LSommaire du Match
145 - 2020-01-24841Admirals3Monsters2WXXSommaire du Match
148 - 2020-01-27853Admirals2Stars1WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29864Admirals4Rampage5LXSommaire du Match
152 - 2020-01-31885Admirals3Rampage2WSommaire du Match
154 - 2020-02-02889Stars6Admirals3LSommaire du Match
157 - 2020-02-05906Wolves2Admirals1LSommaire du Match
158 - 2020-02-06917Griffins1Admirals4WSommaire du Match
159 - 2020-02-07928Admirals1Wolves2LSommaire du Match
162 - 2020-02-10934Monsters1Admirals2WSommaire du Match
165 - 2020-02-13961Griffins1Admirals6WSommaire du Match
171 - 2020-02-19989IceHogs1Admirals3WSommaire du Match
172 - 2020-02-20998Admirals7IceHogs1WSommaire du Match
176 - 2020-02-241023Admirals4IceHogs1WSommaire du Match
179 - 2020-02-271049Admirals5Wolves0WSommaire du Match
180 - 2020-02-281055Admirals4Griffins1WSommaire du Match
183 - 2020-03-021067Rampage1Admirals3WSommaire du Match
185 - 2020-03-041079Wolves2Admirals1LSommaire du Match
186 - 2020-03-051091Wild0Admirals2WSommaire du Match
189 - 2020-03-081106IceHogs1Admirals5WSommaire du Match
193 - 2020-03-121131Griffins1Admirals3WSommaire du Match
194 - 2020-03-131149Admirals6IceHogs1WSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,684,220$ 327,423$ 165,700$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 184,212$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 9,420$ 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
14764620022332591391203822130100212271513824701231137686910725947373201110076787224269973179241169646989813253545916.67%3563889.33%51418235560.21%1294220758.63%640111257.55%208415131611511902478
Total Saison Régulière764620022332591391203822130100212271513824701231137686910725947373201110076787224269973179241169646989813253545916.67%3563889.33%51418235560.21%1294220758.63%640111257.55%208415131611511902478