Admirals

GP: 30 | W: 20 | L: 8 | OTL: 2 | P: 42
GF: 105 | GA: 66 | PP%: 19.42% | PK%: 84.50%
DG: Stéphane Fournier | Morale : 64 | Moyenne d'Équipe : 62
Prochain matchs #431 vs IceHogs
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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
1Jason PominvilleX100.005635936770738666546870636987803238660
2Tage ThompsonX100.007437876893707367596369626463628052650
3Jansen HarkinsXX100.005837885774939156595556575663626372600
4Austin Poganski (R)XX100.006335935877918757625953585565636271600
5Sam AnasXX100.005135935961918758655955535771665972590
6Chase Balisy (A)X100.005337885568959654585352555173675872590
7Samuel KurkerX100.006638855881777156525353565469656773580
8Tanner Kaspick (R)X100.006137885474878153555252545061636472570
9Joseph GambardellaXX100.005935945670615854555753555671664263560
10Otto Somppi (R)X100.006336905479787253585252545361636472560
11Jacob MiddletonX100.006238855985796958306054635865635659620
12Sebastien AhoX100.005237876068939059306354585265635670620
13Ben ThomasX100.005936905576939054305551574565636572610
14Dominik MasinX100.006740795483939153305251565465637269610
15Brandon Hickey (R)X100.006637885581837754305552584565636272610
Rayé
1Emil JohanssonX100.005238855459928953305251554765626344580
MOYENNE D'ÉQUIPE100.00603788587584825747575557546765606560
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
1Garret Sparks100.00777472847675777675777671754766740
2Jeremy Helvig (R)100.00736361847271737271737263675729690
Rayé
1Louis Domingue100.00797775857877797877797873774854760
MOYENNE D'ÉQUIPE100.0076716984757476757476756973515073
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'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
1Jordan SzwarzNashville PredatorsC/RW2613274018803964104256412.50%464424.7931013159601111102263.53%53200011.2402000531
2Jason PominvilleAdmirals (Nas)RW161012221440102862195816.13%337023.151347561013600055.84%15400001.1911000312
3Brandon GignacNashville PredatorsC/LW3051621158013305815388.62%244814.940116470000302062.00%5000000.9400000101
4Ethan BearNashville PredatorsD30417216375342929172413.79%2269123.0533618110000088010.00%000000.6100010011
5Austin PoganskiAdmirals (Nas)LW/RW26128204200333162194419.35%446117.75551019980001492062.71%5900020.8701000214
6Jansen HarkinsAdmirals (Nas)C/LW30108184120324782255512.20%662220.74123201040000411058.57%57200000.5801000101
7Jacob MiddletonAdmirals (Nas)D21513187200291430212316.67%2247322.562681472000156200.00%000000.7601000121
8Sam AnasAdmirals (Nas)LW/RW3041216-48012367732455.19%258319.4424614880002421162.86%3500000.5501000002
9Ben ThomasAdmirals (Nas)D3031316816024252791811.11%2362620.881561382011065010.00%000000.5100000012
10Chase BalisyAdmirals (Nas)C3078151610017314692815.22%532610.8900015000022054.40%31800000.9211000210
11Samuel KurkerAdmirals (Nas)RW3051015823557237115457.04%151517.1911219630000100054.76%4200000.5801001011
12Yakov TreninNashville PredatorsC/LW2131013716034336012385.00%247222.4827920770001501052.50%12000000.5523000101
13Joseph GambardellaAdmirals (Nas)C/LW267512810010173191722.58%226010.0200000000001020.00%1000000.9200000020
14Dominik MasinAdmirals (Nas)D3047111640105018418199.76%2164021.373252294000089010.00%000000.3400011011
15Dysin MayoNashville PredatorsD20371010809101451221.43%830415.21202624000024110.00%000000.6600000110
16Tanner KaspickAdmirals (Nas)C3036921001528357248.57%32789.28000100000120059.25%26500000.6500000100
17Sebastien AhoAdmirals (Nas)D1535811201610267911.54%1235023.371231752000356100.00%000000.4600000010
18Brandon HickeyAdmirals (Nas)D30055112403218153100.00%1843314.4400002000036000.00%000000.2300000000
19Otto SomppiAdmirals (Nas)C3013402091083712.50%01083.61000010000061059.26%2700000.7400000000
20Sammy BlaisNashville PredatorsLW/RW21121006052720.00%04321.520111120000210100.00%100000.9300000010
21Emil JohanssonAdmirals (Nas)D12011020313140.00%1726.060000000005000.00%000000.2700000000
22Lukas SedlakNashville PredatorsC/LW/RW1000-100373020.00%02020.1300025000010052.94%1700000.0000000000
Stats d'équipe Total ou en Moyenne5161031942971512902048751088926359111.59%161874816.9527527921511071231284418758.72%220200030.68412022181718
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)1411200.9271.6082403223030001.0005138211
2Jake OettingerNashville Predators33000.8822.00180006510000.000036000
3Jeremy HelvigAdmirals (Nas)43100.9231.72209016780000.000043100
4Louis DomingueAdmirals (Nas)72410.8862.4142300171490000.6676710000
Stats d'équipe Total ou en Moyenne2819710.9121.87163704515810000.818112727311


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
Austin PoganskiAdmirals (Nas)LW/RW231996-02-16Yes198 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm500,000$0$0$NoLien
Ben ThomasAdmirals (Nas)D231996-05-28No180 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Brandon HickeyAdmirals (Nas)D231996-04-13Yes201 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm500,000$0$0$NoLien
Chase BalisyAdmirals (Nas)C271992-02-02No179 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Dominik MasinAdmirals (Nas)D231996-02-01No198 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Emil JohanssonAdmirals (Nas)D231996-05-06No189 Lbs5 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Garret SparksAdmirals (Nas)G261993-06-28No201 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm500,000$0$0$NoLien
Jacob MiddletonAdmirals (Nas)D231996-01-02No210 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Jansen HarkinsAdmirals (Nas)C/LW221997-05-23No182 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Jason PominvilleAdmirals (Nas)RW361982-11-30No180 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm5,666,000$0$0$NoLien
Jeremy HelvigAdmirals (Nas)G221997-05-25Yes188 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Joseph GambardellaAdmirals (Nas)C/LW251993-12-01No196 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Louis DomingueAdmirals (Nas)G271992-03-06No210 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm2,500,000$0$0$NoLien
Otto SomppiAdmirals (Nas)C211998-01-12Yes192 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Sam AnasAdmirals (Nas)LW/RW261993-06-01No163 Lbs5 ft8NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Samuel KurkerAdmirals (Nas)RW251994-04-08No202 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Sebastien AhoAdmirals (Nas)D231996-02-17No177 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm500,000$0$0$NoLien
Tage ThompsonAdmirals (Nas)RW211997-10-30No205 Lbs6 ft6NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Tanner KaspickAdmirals (Nas)C211998-01-28Yes200 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1924.21192 Lbs6 ft13.00771,895$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Austin PoganskiJansen HarkinsJason Pominville40122
2Sam AnasChase BalisyTage Thompson30122
3Joseph GambardellaTanner KaspickSamuel Kurker20122
4Jason PominvilleOtto SomppiTage Thompson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sebastien AhoJacob Middleton40122
2Brandon HickeyDominik Masin30122
3Ben ThomasSebastien Aho20122
4Jacob MiddletonBrandon Hickey10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Austin PoganskiJansen HarkinsJason Pominville60122
2Sam AnasChase BalisyTage Thompson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sebastien AhoJacob Middleton60122
2Brandon HickeyDominik Masin40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jason PominvilleTage Thompson60122
2Jansen HarkinsAustin Poganski40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sebastien AhoJacob Middleton60122
2Brandon HickeyDominik Masin40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jason Pominville60122Sebastien AhoJacob Middleton60122
2Tage Thompson40122Brandon HickeyDominik Masin40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jason PominvilleTage Thompson60122
2Jansen HarkinsAustin Poganski40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sebastien AhoJacob Middleton60122
2Brandon HickeyDominik Masin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Austin PoganskiJansen HarkinsJason PominvilleSebastien AhoJacob Middleton
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Austin PoganskiJansen HarkinsJason PominvilleSebastien AhoJacob Middleton
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Samuel Kurker, Tanner Kaspick, Otto SomppiSamuel Kurker, Tanner KaspickOtto Somppi
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ben Thomas, Dominik Masin, Sebastien AhoBen ThomasDominik Masin, Sebastien Aho
Tirs de Pénalité
Jason Pominville, Tage Thompson, Jansen Harkins, Austin Poganski, Sam Anas
Gardien
#1 : Garret Sparks, #2 : Jeremy Helvig


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
1Bears1010000023-11010000023-10000000000000.0002460042303053929128330720166917600.00%10100.00%053289459.51%49683559.40%26545458.37%825599635202360190
2Griffins44000000184141100000050533000000134981.000183553014230305115291283307208212465415426.67%21290.48%153289459.51%49683559.40%26545458.37%825599635202360190
3Gulls11000000642000000000001100000064221.00061117004230305302912833072022619185360.00%7185.71%053289459.51%49683559.40%26545458.37%825599635202360190
4IceHogs44000000209113300000013671100000073481.000203959004230305170291283307209326367519526.32%17288.24%053289459.51%49683559.40%26545458.37%825599635202360190
5Monsters1010000034-11010000034-10000000000000.00036900423030514291283307203382087114.29%90100.00%053289459.51%49683559.40%26545458.37%825599635202360190
6Moose220000001221022000000122100000000000041.0001224360142303058029128330720217102810440.00%50100.00%053289459.51%49683559.40%26545458.37%825599635202360190
7Rampage30200001310-71010000014-32010000126-410.1673580042303056129128330720931722531218.33%11372.73%053289459.51%49683559.40%26545458.37%825599635202360190
8Reign2200000012111110000005051100000071641.000122335014230305782912833072037423375120.00%80100.00%053289459.51%49683559.40%26545458.37%825599635202360190
9Stars51201010121202110000056-13010101076160.6001220320042303051332912833072013028538628414.29%24675.00%053289459.51%49683559.40%26545458.37%825599635202360190
Total30178011211056639149500000503020168301121553619420.700105194299044230305889291283307206551612924881392719.42%1292084.50%153289459.51%49683559.40%26545458.37%825599635202360190
11Wild3210000034-11010000003-32200000031240.66735801423030575291283307205111284811218.18%13284.62%053289459.51%49683559.40%26545458.37%825599635202360190
12Wolves411001101413111000000422301001101011-150.6251422360042303059429128330720773626642129.52%13469.23%053289459.51%49683559.40%26545458.37%825599635202360190
_Since Last GM Reset30178011211056639149500000503020168301121553619420.700105194299044230305889291283307206551612924881392719.42%1292084.50%153289459.51%49683559.40%26545458.37%825599635202360190
_Vs Conference23126011217052189630000028217146301121423111320.69670126196024230305648291283307205261302113801061816.98%991980.81%153289459.51%49683559.40%26545458.37%825599635202360190
_Vs Division79300111321814251000009275420011123167221.57132568801423030520229128330720136466811931619.35%28582.14%053289459.51%49683559.40%26545458.37%825599635202360190

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3042W110519429988965516129248804
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
30178112110566
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
149500005030
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
168311215536
Derniers 10 Matchs
WLOTWOTL SOWSOL
621010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1392719.42%1292084.50%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
291283307204230305
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
53289459.51%49683559.40%26545458.37%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
825599635202360190


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 - 2019-11-18431Admirals-IceHogs-
81 - 2019-11-21452Wolves-Admirals-
85 - 2019-11-25469Wolves-Admirals-
88 - 2019-11-28493Admirals-Wild-
92 - 2019-12-02516Admirals-IceHogs-
95 - 2019-12-05539Admirals-Penguins-
96 - 2019-12-06549Admirals-Bears-
99 - 2019-12-09555Griffins-Admirals-
102 - 2019-12-12584Gulls-Admirals-
104 - 2019-12-14592Admirals-Moose-
106 - 2019-12-16600Admirals-Moose-
109 - 2019-12-19622Admirals-Griffins-
110 - 2019-12-20635Admirals-Wolves-
112 - 2019-12-22644Rampage-Admirals-
115 - 2019-12-25662Wild-Admirals-
116 - 2019-12-26668Moose-Admirals-
122 - 2020-01-01690Moose-Admirals-
123 - 2020-01-02706IceHogs-Admirals-
127 - 2020-01-06721Stars-Admirals-
129 - 2020-01-08728Penguins-Admirals-
130 - 2020-01-09734Wolves-Admirals-
133 - 2020-01-12758Rampage-Admirals-
138 - 2020-01-17795Admirals-Moose-
139 - 2020-01-18806Admirals-Moose-
143 - 2020-01-22819Admirals-Monsters-
145 - 2020-01-24841Admirals-Monsters-
148 - 2020-01-27853Admirals-Stars-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29864Admirals-Rampage-
152 - 2020-01-31885Admirals-Rampage-
154 - 2020-02-02889Stars-Admirals-
157 - 2020-02-05906Wolves-Admirals-
158 - 2020-02-06917Griffins-Admirals-
159 - 2020-02-07928Admirals-Wolves-
162 - 2020-02-10934Monsters-Admirals-
165 - 2020-02-13961Griffins-Admirals-
171 - 2020-02-19989IceHogs-Admirals-
172 - 2020-02-20998Admirals-IceHogs-
176 - 2020-02-241023Admirals-IceHogs-
179 - 2020-02-271049Admirals-Wolves-
180 - 2020-02-281055Admirals-Griffins-
183 - 2020-03-021067Rampage-Admirals-
185 - 2020-03-041079Wolves-Admirals-
186 - 2020-03-051091Wild-Admirals-
189 - 2020-03-081106IceHogs-Admirals-
193 - 2020-03-121131Griffins-Admirals-
194 - 2020-03-131149Admirals-IceHogs-



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
24 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
637,345$ 146,660$ 42,700$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 57,445$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 119 8,488$ 1,010,072$




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
143017801121105663914950000050302016830112155361942105194299044230305889291283307206551612924881392719.42%1292084.50%153289459.51%49683559.40%26545458.37%825599635202360190
Total Saison Régulière3017801121105663914950000050302016830112155361942105194299044230305889291283307206551612924881392719.42%1292084.50%153289459.51%49683559.40%26545458.37%825599635202360190