Admirals
GP: 80 | W: 47 | L: 26 | OTL: 7 | P: 101
GF: 378 | GA: 313 | PP%: 26.27% | PK%: 80.06%
DG: Dany Potvin | Morale : 53 | Moyenne d'Équipe : 63
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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
1Anton Gustafsson (R)X100.007629797279727673777772677359503663710252975,000$
2Chris LawrenceX100.007026747874766967717671676961532262700282900,000$
3Blake Geoffrion (A)X100.007237747577727375627277597465562860700271995,000$
4Scott Laughton (R) (C)X100.008037707681638472727274607048436070690213950,000$
5Joel Armia (R)X100.007231757075717070737178557046445566680222550,000$
6Markus Granlund (R)X100.007229737273757269777569647348434973680222850,000$
7Mark McNeill (R)X100.006738757070746771756870676945445373680222800,000$
8Nicolas Deslauriers (R)X100.006334847464786373497271696350463973680242700,000$
9Nicolas Kerdiles (R) (A)X100.006943687666757177657168686746435473680213600,000$
10Brett Connolly (R)X100.006329826373646767696773516745454473640233700,000$
11Hunter Shinkaruk (R)X100.006039756962646863626478577044435373640213525,000$
12Freddie Hamilton (R)X100.006528807162646459687162585345454024620232750,000$
13Lucas Wallmark (R)X100.005432797071707157726454655742425866620203550,000$
14Mat Clark (R)X100.007865707874806165467367745959533681720251925,000$
15Josh Morrissey (R)X100.007440757270757369587463706045426561690203900,000$
16Mattias Backman (R)X100.006631797469716468547152685651524161670232600,000$
17T.J Brodie (R)X100.005832738062637174427863725351483540670252750,000$
18Trevor Van Riemsdyk (R)X100.006032756961616171456551655552523671630242650,000$
19Travis Dermott (R)X100.004725758353496985357453614241417973620192500,000$
20Andreas Englund (R)X100.006431806360685663425744744642416863620191500,000$
21Carl Dahlstrom (R)X100.006418836052516453315953694542425157600202600,000$
Rayé
1Riley Barber (R)X100.006530766258605866646760626843435247610212850,000$
2Mark MacMillan (R)X100.004933646152616264627461495445453820590232350,000$
3Alexandre Mallet (R)X100.007344696764577662546158455546453120590231375,000$
4Ryan Olsen (R)X100.004825736566596862535560406343434320560211600,000$
5Stanislav Galiev (R)X100.005130706258594868545257466845453720560231350,000$
6Troy Bourke (R)X100.004434606154516059576063334743434320540211375,000$
7Filip Chlapik (R)X100.005430644855495154574961454840407220520182500,000$
8Adam Almquist (R)X100.005833717559666469437245644846463419630242500,000$
9Christian Djoos (R)X100.006630816462546259406442734843434428630212475,000$
10Josh Wesley (R)X100.005436775860656248326246643741415820580191500,000$
11Sergei Zborovskiy (R)X100.004426715960535639204224663940407220520183500,000$
MOYENNE D'ÉQUIPE100.00633374696565666556676161584745485063
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
1Niklas Svedberg100.00717178687178776869767365623265720
2Tristan Jarry100.00686969626175705253766643425672630
Rayé
1Linus Ullmark100.00576065524970736151686946444419600
2Felix Sanstrom (R)100.00576560556160586057546640408319580
MOYENNE D'ÉQUIPE100.0063666859617170605869694947544463
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Wayne Gretzky70628291526855CAN5011,100,000$


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
1Scott LaughtonAdmirals (Nas)C80586812609351401393088018918.83%36161420.18182947552850114445650.79%24205030031.56010101093
2Nicolas KerdilesAdmirals (Nas)LW805358111268015310332112119416.51%50179122.3917173455277235826011148.44%1287832141.24010001074
3Blake GeoffrionAdmirals (Nas)LW7839498810440109862545815715.35%23121215.5412162835205000074346.91%814915011.4512000615
4Chris LawrenceAdmirals (Nas)RW7934528618280108802094212116.27%43119915.1810172728166000055255.26%764920001.4302000756
5Joel ArmiaAdmirals (Nas)RW802545706375100801605710915.63%28141717.727142122264000004151.46%1034818000.9902100425
6Markus GranlundAdmirals (Nas)C80343468235401321292076111316.43%32125515.70811192415330310986150.69%7993317201.0825000428
7Anton GustafssonAdmirals (Nas)C8033346721801021392095210715.79%50126415.81426117332593002253.52%11084025001.0637000371
8Mark McNeillAdmirals (Nas)RW80203252173008066142488214.08%33102012.761458781012250163.83%472811201.0200000011
9Mat ClarkAdmirals (Nas)D755465171302011412410456424.81%132173723.1711213112680110237000.00%03648000.5900211101
10Nicolas DeslauriersAdmirals (Nas)LW80202747188064621675311611.98%2395111.89112321123111984116.67%243624010.9900000133
11Josh MorrisseyAdmirals (Nas)D7711364721641011215711643439.48%113198325.7671219222950002275200.00%03753000.4700011113
12T.J BrodieAdmirals (Nas)D64435392140054947637405.26%73129620.2516771700113144000.00%01832000.6000000001
13Travis DermottAdmirals (Nas)D80430341228033668030215.00%56127315.921786191000021000.00%01627100.5300000000
14Hunter ShinkarukAdmirals (Nas)LW80141529101405848118306111.86%157839.790000140003280150.00%323113000.7400000121
15Brett ConnollyAdmirals (Nas)RW791210221140362382224714.63%85166.5400002000002141.67%36104000.8500000112
16Lucas WallmarkAdmirals (Nas)C74611172120313334122617.65%145567.52000080000380050.71%21149000.6100000020
17Andreas EnglundAdmirals (Nas)D8001313516037802919160.00%71114014.260000200110221000.00%0335000.2300000000
18Mattias BackmanAdmirals (Nas)D740881020034493016120.00%6297713.220112760221101000.00%0128000.1600000000
19Carl DahlstromAdmirals (Nas)D68077920122211350.00%204316.3400004000014000.00%0011000.3200000000
20Trevor Van RiemsdykAdmirals (Nas)D78077314092513740.00%204425.67000011000019000.00%009000.3200000000
21Freddie HamiltonAdmirals (Nas)C213141003892133.33%1954.5400001000030043.48%2302000.8400000000
22Riley BarberAdmirals (Nas)RW621340408917655.88%22153.470000100000650036.00%2526000.3700000000
23Christian DjoosAdmirals (Nas)D3703351558208330.00%132887.7900013011048000.00%0112000.2100000000
24Adam AlmquistAdmirals (Nas)D21022200570220.00%51386.600000300000000.00%007000.2900000000
Stats d'équipe Total ou en Moyenne1687376626100222474345154216492704860151613.91%9232360413.99881492372902608101424532163452051.11%5113570488690.85620332494344
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
1Niklas SvedbergAdmirals (Nas)48301030.8913.562698011601469696320.55694720023
2Tristan JarryAdmirals (Nas)32171120.8873.5116910099879454400.55692550100
3Felix SanstromAdmirals (Nas)80520.8276.314474047271142000.000389000
Stats d'équipe Total ou en Moyenne88472670.8833.8048364130626191292720.476218079123


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
Adam AlmquistAdmirals (Nas)D241991-01-01Yes174 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Alexandre MalletAdmirals (Nas)LW231992-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm375,000$0$0$No
Andreas EnglundAdmirals (Nas)D191996-01-01Yes189 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Anton GustafssonAdmirals (Nas)C251990-01-01Yes193 Lbs6 ft2NoNoNo2Pro & Farm975,000$0$0$No975,000$
Blake GeoffrionAdmirals (Nas)LW271988-01-01No192 Lbs6 ft1NoNoNo1Pro & Farm995,000$0$0$No
Brett ConnollyAdmirals (Nas)RW231992-01-01Yes181 Lbs6 ft2NoNoNo3Pro & Farm700,000$0$0$No725,000$725,000$
Carl DahlstromAdmirals (Nas)D201995-01-01Yes185 Lbs6 ft4NoNoNo2Pro & Farm600,000$0$0$No600,000$
Chris LawrenceAdmirals (Nas)RW281987-01-01No211 Lbs6 ft4NoNoNo2Pro & Farm900,000$0$0$No930,000$
Christian DjoosAdmirals (Nas)D211994-01-01Yes158 Lbs5 ft11NoNoNo2Pro & Farm475,000$0$0$No500,000$
Felix SanstromAdmirals (Nas)G181997-01-01Yes191 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Filip ChlapikAdmirals (Nas)C181997-01-01Yes194 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Freddie HamiltonAdmirals (Nas)C231992-01-01Yes195 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
Hunter ShinkarukAdmirals (Nas)LW211994-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm525,000$0$0$No550,000$575,000$
Joel ArmiaAdmirals (Nas)RW221993-01-01Yes205 Lbs6 ft3NoNoNo2Pro & Farm550,000$0$0$No650,000$
Josh MorrisseyAdmirals (Nas)D201995-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm900,000$0$0$No950,000$1,000,000$
Josh WesleyAdmirals (Nas)D191996-01-01Yes201 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Linus UllmarkAdmirals (Nas)G221993-01-01No198 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Lucas WallmarkAdmirals (Nas)C201995-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm550,000$0$0$No550,000$575,000$
Mark MacMillanAdmirals (Nas)RW231992-01-01Yes172 Lbs6 ft0NoNoNo2Pro & Farm350,000$0$0$No350,000$
Mark McNeillAdmirals (Nas)RW221993-01-01Yes212 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No900,000$
Markus GranlundAdmirals (Nas)C221993-01-01Yes178 Lbs6 ft0NoNoNo2Pro & Farm850,000$0$0$No925,000$
Mat ClarkAdmirals (Nas)D251990-01-01Yes213 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$No
Mattias BackmanAdmirals (Nas)D231992-01-01Yes180 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No650,000$
Nicolas DeslauriersAdmirals (Nas)LW241991-01-01Yes209 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No800,000$
Nicolas KerdilesAdmirals (Nas)LW211994-01-01Yes191 Lbs5 ft11NoNoNo3Pro & Farm600,000$0$0$No650,000$750,000$
Niklas SvedbergAdmirals (Nas)G261989-01-01No176 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$No
Riley BarberAdmirals (Nas)RW211994-01-01Yes194 Lbs5 ft11NoNoNo2Pro & Farm850,000$0$0$No900,000$
Ryan OlsenAdmirals (Nas)C211994-01-01Yes187 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
Scott LaughtonAdmirals (Nas)C211994-01-01Yes177 Lbs6 ft0NoNoNo3Pro & Farm950,000$0$0$No1,200,000$1,500,000$
Sergei ZborovskiyAdmirals (Nas)D181997-01-01Yes194 Lbs6 ft4NoNoNo3Pro & Farm500,000$0$0$No500,000$600,000$
Stanislav GalievAdmirals (Nas)RW231992-01-01Yes187 Lbs6 ft1NoNoNo1Pro & Farm350,000$0$0$No
T.J BrodieAdmirals (Nas)D251990-01-01Yes182 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
Travis DermottAdmirals (Nas)D191996-01-01Yes205 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Trevor Van RiemsdykAdmirals (Nas)D241991-01-01Yes188 Lbs6 ft2NoNoNo2Pro & Farm650,000$0$0$No675,000$
Tristan JarryAdmirals (Nas)G201995-01-01No185 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No525,000$
Troy BourkeAdmirals (Nas)LW211994-01-01Yes156 Lbs5 ft10NoNoNo1Pro & Farm375,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3622.00189 Lbs6 ft11.92634,583$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nicolas KerdilesScott LaughtonJoel Armia40122
2Blake GeoffrionMarkus GranlundMark McNeill30122
3Nicolas DeslauriersAnton GustafssonChris Lawrence20122
4Hunter ShinkarukLucas WallmarkBrett Connolly10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mat ClarkJosh Morrissey40131
2T.J BrodieTravis Dermott30122
3Andreas EnglundMattias Backman20131
4Carl DahlstromTrevor Van Riemsdyk10131
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nicolas KerdilesScott LaughtonJoel Armia60113
2Blake GeoffrionMarkus GranlundChris Lawrence40113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mat ClarkJosh Morrissey60113
2T.J BrodieTravis Dermott40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anton GustafssonNicolas Kerdiles60122
2Markus GranlundNicolas Deslauriers40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mat ClarkJosh Morrissey60131
2Andreas EnglundT.J Brodie40131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Anton Gustafsson60122Mat ClarkJosh Morrissey60131
2Mark McNeill40122Andreas EnglundT.J Brodie40131
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Scott LaughtonNicolas Kerdiles60122
2Markus GranlundBlake Geoffrion40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mat ClarkJosh Morrissey60122
2T.J BrodieTravis Dermott40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nicolas KerdilesScott LaughtonJoel ArmiaJosh MorrisseyTravis Dermott
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nicolas DeslauriersMarkus GranlundMark McNeillAndreas EnglundT.J Brodie
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Freddie Hamilton, Anton Gustafsson, Mark McNeillFreddie Hamilton, Anton GustafssonLucas Wallmark
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Trevor Van Riemsdyk, Josh Morrissey, Mattias BackmanTrevor Van RiemsdykTrevor Van Riemsdyk, Mattias Backman
Tirs de Pénalité
Markus Granlund, Scott Laughton, Blake Geoffrion, Anton Gustafsson, Hunter Shinkaruk
Gardien
#1 : Niklas Svedberg, #2 : Tristan Jarry


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
1Barracuda650010003019113300000016106320010001495121.0003045750094133147819588294386633200834297261142.31%21671.43%1968185452.21%948189450.05%697136551.06%172698116847551433715
2Bears3120000013942020000069-31100000070720.3331323360194133147810288294386633881834619222.22%17570.59%0968185452.21%948189450.05%697136551.06%172698116847551433715
3Checkers20200000411-71010000026-41010000025-300.00047110094133147852882943866336826144011327.27%7357.14%0968185452.21%948189450.05%697136551.06%172698116847551433715
4Comets210000101293110000006421000001065141.000122032009413314787288294386633603116279444.44%80100.00%0968185452.21%948189450.05%697136551.06%172698116847551433715
5Condors32100000141312110000089-11100000064240.66714183200941331478108882943866339133285915320.00%14192.86%0968185452.21%948189450.05%697136551.06%172698116847551433715
6Crunch220000001468110000006241100000084441.000142640009413314786588294386633711428407342.86%9277.78%0968185452.21%948189450.05%697136551.06%172698116847551433715
7Devils3200000116791100000063321000001104650.8331626420094133147895882943866339245237113323.08%90100.00%0968185452.21%948189450.05%697136551.06%172698116847551433715
8Eagles31200000812-4110000005322020000039-620.33381119009413314789588294386633963224649111.11%12466.67%0968185452.21%948189450.05%697136551.06%172698116847551433715
9Griffins321000001293110000005322110000076140.6671222340094133147894882943866339729265615213.33%130100.00%0968185452.21%948189450.05%697136551.06%172698116847551433715
10Heat220000001275110000005231100000075241.00012183000941331478698829438663367318468225.00%4250.00%0968185452.21%948189450.05%697136551.06%172698116847551433715
11IceHogs63300000262333210000014104312000001213-160.50026426800941331478187882943866331786453129381128.95%24387.50%1968185452.21%948189450.05%697136551.06%172698116847551433715
12Influenza3210000015114211000008801100000073440.66715243900941331478115882943866339730396013538.46%12191.67%2968185452.21%948189450.05%697136551.06%172698116847551433715
13Little Stars33000000176112200000011471100000062461.000173047009413314781148829438663310740225111327.27%11281.82%0968185452.21%948189450.05%697136551.06%172698116847551433715
14Monsters622001012930-1311000011516-1311001001414060.5002949781094133147820488294386633212698811625728.00%34779.41%2968185452.21%948189450.05%697136551.06%172698116847551433715
15Moose3210000014104110000006242110000088040.6671424381094133147810288294386633965228569111.11%14471.43%1968185452.21%948189450.05%697136551.06%172698116847551433715
16Penguins220000001165110000006421100000052341.000112031009413314786088294386633712719394125.00%7185.71%0968185452.21%948189450.05%697136551.06%172698116847551433715
17Phantoms411001011516-1301001011114-31100000042240.500152439009413314781308829438663313050369115213.33%18288.89%2968185452.21%948189450.05%697136551.06%172698116847551433715
18Punishers20200000513-81010000025-31010000038-500.0005712009413314785388294386633893439307114.29%12466.67%0968185452.21%948189450.05%697136551.06%172698116847551433715
19Rampage33000000211292200000014771100000075261.00021385900941331478123882943866338522144215213.33%7185.71%0968185452.21%948189450.05%697136551.06%172698116847551433715
20Reign604010102229-720100010880403010001421-740.3332235570094133147820988294386633200735813121628.57%29872.41%0968185452.21%948189450.05%697136551.06%172698116847551433715
21Rocket412000012224-2211000001312120100001912-330.375223860009413314781538829438663313148367821838.10%18572.22%0968185452.21%948189450.05%697136551.06%172698116847551433715
22Senators220000001385110000008531100000053241.00013223500941331478688829438663371178378337.50%4250.00%0968185452.21%948189450.05%697136551.06%172698116847551433715
23Sound Tigers3210000016971010000056-122000000113840.66716284400941331478110882943866339323305310330.00%150100.00%0968185452.21%948189450.05%697136551.06%172698116847551433715
24Thunderbirds220000001055110000006421100000041341.000101727009413314786988294386633712112336116.67%60100.00%0968185452.21%948189450.05%697136551.06%172698116847551433715
25Wolfpack2010000179-21010000045-11000000134-110.25071219009413314786088294386633601122351000.00%11463.64%1968185452.21%948189450.05%697136551.06%172698116847551433715
Total8043260222537831365402313001121961613540201302113182152301010.631378626100421941331478270488294386633262192374715423358826.27%3366780.06%10968185452.21%948189450.05%697136551.06%172698116847551433715
_Since Last GM Reset8043260222537831365402313001121961613540201302113182152301010.631378626100421941331478270488294386633262192374715423358826.27%3366780.06%10968185452.21%948189450.05%697136551.06%172698116847551433715
_Vs Conference502319022132282022625111000112115107825129021011139518570.5702283726002194133147817098829438663316135724989872176128.11%2294281.66%9968185452.21%948189450.05%697136551.06%172698116847551433715
_Vs Division181050110185721396200001453699430110040364240.667851362211094133147858688294386633590216183342892932.58%791679.75%4968185452.21%948189450.05%697136551.06%172698116847551433715

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
80101W1378626100427042621923747154221
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8043262225378313
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4023130112196161
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4020132113182152
Derniers 10 Matchs
WLOTWOTL SOWSOL
450010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3358826.27%3366780.06%10
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
88294386633941331478
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
968185452.21%948189450.05%697136551.06%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
172698116847551433715


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 - 2020-10-1010Admirals5Barracuda3WSommaire du Match
3 - 2020-10-1115Admirals4Reign7LSommaire du Match
5 - 2020-10-1326Barracuda3Admirals5WSommaire du Match
8 - 2020-10-1643IceHogs4Admirals8WSommaire du Match
12 - 2020-10-2060Admirals2IceHogs3LSommaire du Match
14 - 2020-10-2274Phantoms4Admirals3LXXSommaire du Match
16 - 2020-10-2489Admirals8Devils1WSommaire du Match
17 - 2020-10-2591Admirals4Monsters5LXR1Sommaire du Match
19 - 2020-10-27103Monsters7Admirals6LXXSommaire du Match
22 - 2020-10-30122Admirals2Reign4LSommaire du Match
23 - 2020-10-31128Barracuda4Admirals7WSommaire du Match
26 - 2020-11-03139Admirals5Barracuda3WSommaire du Match
28 - 2020-11-05152Influenza2Admirals4WSommaire du Match
31 - 2020-11-08170Admirals5Sound Tigers2WSommaire du Match
33 - 2020-11-10179IceHogs4Admirals2LSommaire du Match
35 - 2020-11-12194Rampage3Admirals8WSommaire du Match
39 - 2020-11-16214Penguins4Admirals6WSommaire du Match
42 - 2020-11-19225Admirals7Rampage5WSommaire du Match
44 - 2020-11-21241Heat2Admirals5WSommaire du Match
47 - 2020-11-24256Admirals7Heat5WSommaire du Match
50 - 2020-11-27267Wolfpack5Admirals4LSommaire du Match
52 - 2020-11-29277Admirals6Little Stars2WSommaire du Match
55 - 2020-12-02296Influenza6Admirals4LSommaire du Match
59 - 2020-12-06316Condors5Admirals2LSommaire du Match
61 - 2020-12-08330Admirals6Sound Tigers1WSommaire du Match
64 - 2020-12-11341Admirals8Crunch4WSommaire du Match
65 - 2020-12-12351Griffins3Admirals5WSommaire du Match
69 - 2020-12-16367Comets4Admirals6WSommaire du Match
71 - 2020-12-18381Admirals3Wolfpack4LXXSommaire du Match
73 - 2020-12-20391Admirals4IceHogs5LSommaire du Match
76 - 2020-12-23400Moose2Admirals6WSommaire du Match
78 - 2020-12-25415Admirals7Bears0WSommaire du Match
80 - 2020-12-27424Admirals5Penguins2WSommaire du Match
82 - 2020-12-29434IceHogs2Admirals4WSommaire du Match
84 - 2020-12-31446Admirals7Influenza3WSommaire du Match
86 - 2021-01-02455Sound Tigers6Admirals5LSommaire du Match
88 - 2021-01-04463Admirals2Checkers5LSommaire du Match
91 - 2021-01-07480Eagles3Admirals5WSommaire du Match
93 - 2021-01-09496Admirals6IceHogs5WSommaire du Match
95 - 2021-01-11507Crunch2Admirals6WSommaire du Match
98 - 2021-01-14517Admirals5Senators3WSommaire du Match
103 - 2021-01-19536Thunderbirds4Admirals6WSommaire du Match
106 - 2021-01-22552Admirals2Devils3LXXSommaire du Match
108 - 2021-01-24561Condors4Admirals6WSommaire du Match
110 - 2021-01-26570Admirals4Barracuda3WXSommaire du Match
112 - 2021-01-28587Phantoms5Admirals4LSommaire du Match
114 - 2021-01-30596Admirals6Condors4WSommaire du Match
116 - 2021-02-01610Admirals3Punishers8LSommaire du Match
117 - 2021-02-02616Rocket8Admirals7LSommaire du Match
121 - 2021-02-06635Admirals6Reign5WXSommaire du Match
123 - 2021-02-08642Senators5Admirals8WSommaire du Match
127 - 2021-02-12665Bears4Admirals3LSommaire du Match
131 - 2021-02-16686Admirals2Reign5LSommaire du Match
133 - 2021-02-18692Little Stars2Admirals6WSommaire du Match
136 - 2021-02-21713Admirals2Griffins4LSommaire du Match
137 - 2021-02-22717Devils3Admirals6WSommaire du Match
141 - 2021-02-26737Phantoms5Admirals4LXSommaire du Match
144 - 2021-03-01750Admirals1Eagles3LSommaire du Match
146 - 2021-03-03761Admirals5Griffins2WSommaire du Match
148 - 2021-03-05768Admirals6Comets5WXXSommaire du Match
149 - 2021-03-06775Little Stars2Admirals5WSommaire du Match
152 - 2021-03-09793Admirals7Monsters3WR1Sommaire du Match
154 - 2021-03-11799Admirals2Eagles6LSommaire du Match
155 - 2021-03-12802Barracuda3Admirals4WSommaire du Match
159 - 2021-03-16823Admirals4Phantoms2WSommaire du Match
160 - 2021-03-17829Checkers6Admirals2LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
164 - 2021-03-21847Reign4Admirals3LSommaire du Match
168 - 2021-03-25869Rampage4Admirals6WSommaire du Match
172 - 2021-03-29887Admirals3Moose5LSommaire du Match
174 - 2021-03-31896Admirals6Rocket7LXXSommaire du Match
175 - 2021-04-01905Bears5Admirals3LSommaire du Match
179 - 2021-04-05923Admirals3Rocket5LSommaire du Match
181 - 2021-04-07931Reign4Admirals5WXXSommaire du Match
186 - 2021-04-12952Monsters5Admirals3LR1Sommaire du Match
188 - 2021-04-14964Admirals5Moose3WSommaire du Match
190 - 2021-04-16975Monsters4Admirals6WR1Sommaire du Match
193 - 2021-04-19989Admirals4Thunderbirds1WSommaire du Match
195 - 2021-04-211003Punishers5Admirals2LSommaire du Match
197 - 2021-04-231012Admirals3Monsters6LR1Sommaire du Match
201 - 2021-04-271026Rocket4Admirals6WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets4020
Assistance55,10827,339
Assistance PCT68.89%68.35%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 2061 - 68.71% 71,631$2,865,235$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,346,459$ 2,284,500$ 2,135,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
11,144$ 2,233,078$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 16,510$ 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