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Admirals

GP: 46 | W: 22 | L: 19 | OTL: 5 | P: 49
GF: 174 | GA: 163 | PP%: 16.96% | PK%: 71.57%
DG: Sebastien Roy Pruneau | Morale : 50 | Moyenne d'Équipe : 61
Prochain matchs #748 vs Marlies
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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
1Adam ErneX100.008947776380748762586159576368650506302411,050,000$
2Markus GranlundX100.005839856370798164756162686473680506302611,300,000$
3Dillon DubeXX100.00623888647078776373656162646361060630212910,833$
4Tyler GraovacX100.00674683629169716375596164627367050630261700,000$
5Zac RinaldoX100.00677074616973766266615960577871050620291700,000$
6Tyler GaudetX100.00695186608486856167595462607367050620261700,000$
7Carsen TwarynskiX100.00664589608075725953575861596562050610212925,000$
8Eetu TuulolaX100.00734888588584835755565659586362050610213925,000$
9Evgeny SvechnikovX100.006549846085747257525859605967640506102211,075,833$
10Axel Jonsson-FjallbyX100.00523988596885835751535654596362050590212860,000$
11Roland McKeownX100.00645383627688905930585356466774048610231700,000$
12Ryan CollinsX100.00774987559376785630535460456764050600231925,000$
13Luke GreenX100.00604286577573765630525458456364050590212838,333$
14Hubert LabrieX100.00534982556886875630545057457769050580281700,000$
Rayé
MOYENNE D'ÉQUIPE100.0066488460787980595358576056696605161
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
1Connor Ingram100.0077787680767577767577766569050660
Rayé
MOYENNE D'ÉQUIPE100.007778768076757776757776656905066
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
1Axel Jonsson-FjallbyAdmirals (NSH)RW4623275042055861865413412.37%1582818.0265113988000001238.18%5500001.2101000131
2Markus GranlundAdmirals (NSH)C4632174954041186323792439.91%4289019.36437531060000225158.16%113300021.1028000532
3Dmytro TimashovPredatorsLW/RW3824244858016396247681799.72%3580221.1124626700001865056.45%6200011.2027000726
4Roland McKeownAdmirals (NSH)D296394516180131477824577.69%8974125.561563176000045000.00%000001.2111000422
5Zac RinaldoAdmirals (NSH)C46182644131607999188611389.57%2088519.2500000000001151.59%50200000.9911000323
6Eetu TuulolaAdmirals (NSH)RW461327404220132102249761835.22%1485818.6735847106000002048.39%6200010.9311000210
7Tyler GraovacAdmirals (NSH)C46132033130014109173411057.51%2158712.7700022000000162.68%78500011.1216000020
8Adam ErneAdmirals (NSH)LW4682230142409350136541045.88%758012.6200010000060050.00%5600001.0323000001
9Ryan CollinsAdmirals (NSH)D4632629-5475155315832475.17%5782918.030551348000032010.00%000000.7000001013
10Luke GreenAdmirals (NSH)D4631922-512042494621476.52%5683718.212241548000038010.00%000000.5311000010
11Carsen TwarynskiAdmirals (NSH)LW4613720-120215396305713.54%123196.9400000000001047.06%1700001.2501000110
12Hubert LabrieAdmirals (NSH)D46414181028033264215319.52%4167914.7700015000014100.00%000000.5311000001
13Tyler GaudetAdmirals (NSH)C4651116922096344793510.64%4867314.64000000000211075.00%400000.4811000011
14Ryan GravesPredatorsD21011009553620.00%24723.970002600003100.00%000000.4200000001
15Victor OlofssonPredatorsLW/RW20111002610270.00%04924.9800036000140036.84%1900000.4000000000
16Dillon DubeAdmirals (NSH)C/LW2000-200237230.00%04120.6500015000020047.46%5900000.0000000000
Stats d'équipe Total ou en Moyenne5791662804468220551068982189157113768.78%459965316.67182947234573000228018757.01%275400050.921332001231921
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
1Connor IngramAdmirals (NSH)46221750.9163.2626516114417080320.68147460250
Stats d'équipe Total ou en Moyenne46221750.9163.2626516114417080320.68147460250


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
Adam ErneAdmirals (NSH)LW241995-04-20No212 Lbs6 ft1NoNoNo1Pro & Farm1,050,000$0$0$NoLien / Lien NHL
Axel Jonsson-FjallbyAdmirals (NSH)RW211998-02-10No170 Lbs6 ft0NoNoNo2Pro & Farm860,000$0$0$No860,000$Lien / Lien NHL
Carsen TwarynskiAdmirals (NSH)LW211997-11-24No198 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Connor IngramAdmirals (NSH)G221997-03-31No196 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Dillon DubeAdmirals (NSH)C/LW211998-07-20No187 Lbs5 ft11NoNoNo2Pro & Farm910,833$0$0$No910,833$Lien / Lien NHL
Eetu TuulolaAdmirals (NSH)RW211998-03-17No224 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Evgeny SvechnikovAdmirals (NSH)RW221996-10-31No208 Lbs6 ft3NoNoNo1Pro & Farm1,075,833$0$0$NoLien
Hubert LabrieAdmirals (NSH)D281991-07-12No180 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Luke GreenAdmirals (NSH)D211998-01-12No188 Lbs6 ft1NoNoNo2Pro & Farm838,333$0$0$No838,333$Lien / Lien NHL
Markus GranlundAdmirals (NSH)C261993-04-16No180 Lbs6 ft0NoNoNo1Pro & Farm1,300,000$0$0$NoLien / Lien NHL
Roland McKeownAdmirals (NSH)D231996-01-20No195 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Ryan CollinsAdmirals (NSH)D231996-05-06No216 Lbs6 ft5NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Tyler GaudetAdmirals (NSH)C261993-04-04No205 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Tyler GraovacAdmirals (NSH)C261993-04-27No208 Lbs6 ft5NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Zac RinaldoAdmirals (NSH)C291990-06-15No192 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1523.60197 Lbs6 ft11.40882,333$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Markus GranlundEetu Tuulola30122
2Axel Jonsson-Fjallby30122
3Adam ErneTyler GraovacZac Rinaldo25122
4Carsen TwarynskiZac Rinaldo15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
130122
2Ryan CollinsLuke Green30122
3Hubert LabrieTyler Gaudet25122
415122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Markus GranlundEetu Tuulola60122
2Axel Jonsson-Fjallby40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Ryan CollinsLuke Green40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Markus Granlund40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Ryan CollinsLuke Green40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
240122Ryan CollinsLuke Green40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Markus Granlund40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Ryan CollinsLuke Green40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Markus GranlundEetu Tuulola
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Markus GranlundEetu Tuulola
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tyler Graovac, Adam Erne, Tyler GaudetTyler Graovac, Adam ErneTyler Gaudet
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Hubert Labrie, Ryan Collins, Luke GreenHubert LabrieRyan Collins, Luke Green
Tirs de Pénalité
, , Markus Granlund, , Tyler Graovac
Gardien
#1 : Connor Ingram, #2 :


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
1Americans2010000147-31010000024-21000000123-110.250461000764943177562866062868912414466116.67%7357.14%0793171646.21%749177442.22%35978545.73%11117991134316562277
2Barracuda11000000431110000004310000000000021.00046100076494317576286606286846130244125.00%000.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
3Bruins321000001073110000004222110000065140.6671017271076494317122628660628681173510826233.33%5180.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
4Checkers1010000023-1000000000001010000023-100.000246007649431726628660628683080183133.33%000.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
5Comets1100000011380000000000011000000113821.0001120310076494317846286606286817643022100.00%20100.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
6Condors11000000817000000000001100000081721.0008162400764943171046286606286818622011100.00%10100.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
7Crunch1010000034-11010000034-10000000000000.000369007649431730628660628686419819300.00%30100.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
8Devils2010001067-11010000013-21000001054120.50069150076494317986286606286889348544125.00%3233.33%0793171646.21%749177442.22%35978545.73%11117991134316562277
9Eagles1010000025-3000000000001010000025-300.0002460076494317356286606286835134283133.33%20100.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
10Griffins10000010761000000000001000001076121.000711180076494317356286606286854172244125.00%110.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
11Gulls1000000156-11000000156-10000000000010.50058130076494317376286606286868181221000.00%6266.67%0793171646.21%749177442.22%35978545.73%11117991134316562277
12Heat11000000431110000004310000000000021.0004711007649431750628660628684511238100.00%110.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
13IceHogs320000101266220000008351000001043161.000121931007649431799628660628681113512746233.33%5180.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
14Marlies1010000012-1000000000001010000012-100.000112007649431738628660628684110815200.00%4250.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
15Monsters1010000024-21010000024-20000000000000.000246007649431727628660628683211218400.00%10100.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
16Moose220000002131822000000213180000000000041.0002139600076494317188628660628684411246200.00%10100.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
17Penguins210010001275100010005411100000073441.000122133007649431710062866062868883012513133.33%6183.33%0793171646.21%749177442.22%35978545.73%11117991134316562277
18Phantoms1010000047-3000000000001010000047-300.0004711007649431753628660628684812637400.00%20100.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
19Rampage20200000612-61010000069-31010000003-300.00069150076494317666286606286899211252600.00%5180.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
20Reign21000010642000000000002100001064241.0006101600764943177462866062868521110468112.50%4175.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
21Roadrunners421000011314-11000000134-1321000001010050.625132235107649431713962866062868165632510210110.00%10280.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
22Rocket1010000024-2000000000001010000024-200.000246007649431730628660628684010424400.00%20100.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
23Senators1010000037-4000000000001010000037-400.000369007649431739628660628685715629200.00%3166.67%0793171646.21%749177442.22%35978545.73%11117991134316562277
24Sound Tigers1010000046-21010000046-20000000000000.0004711007649431732628660628685712102711100.00%5340.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
25Stars41201000710-33110100067-11010000013-240.500714210176494317138628660628681433316106900.00%7271.43%0793171646.21%749177442.22%35978545.73%11117991134316562277
26Thunderbirds21000001743210000017430000000000030.7507142100764943177762866062868691916527114.29%7271.43%0793171646.21%749177442.22%35978545.73%11117991134316562277
Total461619021441741631124990210393876227100004181765490.5331743024762176494317193762866062868184153622711621121916.96%1022971.57%0793171646.21%749177442.22%35978545.73%11117991134316562277
27Wild1010000018-71010000018-70000000000000.0001120076494317286286606286836171023200.00%5260.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
28Wolf Pack1010000046-21010000046-20000000000000.000459007649431723628660628685513634000.00%2150.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
29Wolves1000010034-11000010034-10000000000010.500358007649431733628660628683094225120.00%20100.00%0793171646.21%749177442.22%35978545.73%11117991134316562277
_Since Last GM Reset461619021441741631124990210393876227100004181765490.5331743024762176494317193762866062868184153622711621121916.96%1022971.57%0793171646.21%749177442.22%35978545.73%11117991134316562277
_Vs Conference261180113210189121574011026354911440003038353330.635101175276117649431711106286606286897828911564465913.85%511374.51%0793171646.21%749177442.22%35978545.73%11117991134316562277
_Vs Division124400120543816543001001920-170100020351817130.54254941481076494317578628660628684411375930331722.58%26676.92%0793171646.21%749177442.22%35978545.73%11117991134316562277

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4649L217430247619371841536227116221
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4616192144174163
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
249921039387
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2271000418176
Derniers 10 Matchs
WLOTWOTL SOWSOL
270010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1121916.96%1022971.57%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
6286606286876494317
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
793171646.21%749177442.22%35978545.73%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
11117991134316562277


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 - 2020-10-0612Stars0Admirals1WXSommaire du Match
4 - 2020-10-0827Admirals0Rampage3LSommaire du Match
7 - 2020-10-1148Moose2Admirals9WSommaire du Match
9 - 2020-10-1361Admirals2Eagles5LSommaire du Match
11 - 2020-10-1575Thunderbirds1Admirals5WSommaire du Match
12 - 2020-10-1681Admirals4Roadrunners3WSommaire du Match
14 - 2020-10-18102Bruins2Admirals4WSommaire du Match
17 - 2020-10-21122Admirals4Roadrunners3WSommaire du Match
19 - 2020-10-23133Stars3Admirals4WSommaire du Match
23 - 2020-10-27162Moose1Admirals12WSommaire du Match
26 - 2020-10-30185Admirals3Reign2WSommaire du Match
27 - 2020-10-31193IceHogs1Admirals4WSommaire du Match
31 - 2020-11-04218Thunderbirds3Admirals2LXXSommaire du Match
33 - 2020-11-06236Admirals11Comets3WSommaire du Match
35 - 2020-11-08248Wolves4Admirals3LXSommaire du Match
37 - 2020-11-10263Admirals3Reign2WXXSommaire du Match
39 - 2020-11-12279Monsters4Admirals2LSommaire du Match
41 - 2020-11-14293Admirals4Phantoms7LSommaire du Match
43 - 2020-11-16311IceHogs2Admirals4WSommaire du Match
44 - 2020-11-17321Admirals4IceHogs3WXXSommaire du Match
47 - 2020-11-20340Admirals3Senators7LSommaire du Match
48 - 2020-11-21348Wild8Admirals1LSommaire du Match
51 - 2020-11-24374Heat3Admirals4WSommaire du Match
53 - 2020-11-26387Admirals5Devils4WXXSommaire du Match
55 - 2020-11-28404Admirals8Condors1WSommaire du Match
56 - 2020-11-29411Penguins4Admirals5WXSommaire du Match
59 - 2020-12-02432Admirals2Roadrunners4LSommaire du Match
60 - 2020-12-03442Stars4Admirals1LSommaire du Match
63 - 2020-12-06460Admirals2Checkers3LSommaire du Match
65 - 2020-12-08471Gulls6Admirals5LXXSommaire du Match
67 - 2020-12-10485Admirals1Marlies2LSommaire du Match
70 - 2020-12-13505Rampage9Admirals6LSommaire du Match
72 - 2020-12-15522Admirals2Americans3LXXSommaire du Match
74 - 2020-12-17535Barracuda3Admirals4WSommaire du Match
77 - 2020-12-20559Roadrunners4Admirals3LXXSommaire du Match
81 - 2020-12-24590Crunch4Admirals3LSommaire du Match
83 - 2020-12-26604Admirals1Stars3LSommaire du Match
85 - 2020-12-28619Admirals4Bruins1WSommaire du Match
86 - 2020-12-29624Wolf Pack6Admirals4LSommaire du Match
89 - 2021-01-01650Admirals7Penguins3WSommaire du Match
90 - 2021-01-02656Sound Tigers6Admirals4LSommaire du Match
93 - 2021-01-05678Admirals2Bruins4LSommaire du Match
94 - 2021-01-06687Devils3Admirals1LSommaire du Match
97 - 2021-01-09704Admirals7Griffins6WXXSommaire du Match
99 - 2021-01-11717Americans4Admirals2LSommaire du Match
102 - 2021-01-14743Admirals2Rocket4LSommaire du Match
103 - 2021-01-15748Marlies-Admirals-
107 - 2021-01-19776Reign-Admirals-
110 - 2021-01-22798Admirals-Monsters-
111 - 2021-01-23807Moose-Admirals-
114 - 2021-01-26823Admirals-Moose-
116 - 2021-01-28840Bears-Admirals-
119 - 2021-01-31855Admirals-Crunch-
121 - 2021-02-02869Barracuda-Admirals-
123 - 2021-02-04885Admirals-Wild-
126 - 2021-02-07901Checkers-Admirals-
129 - 2021-02-10930Thunderbirds-Admirals-
131 - 2021-02-12939Admirals-Sound Tigers-
134 - 2021-02-15962Eagles-Admirals-
136 - 2021-02-17975Admirals-Heat-
138 - 2021-02-19992Condors-Admirals-
140 - 2021-02-211006Admirals-Wild-
141 - 2021-02-221018Admirals-Barracuda-
142 - 2021-02-231026Rocket-Admirals-
145 - 2021-02-261043Admirals-Comets-
147 - 2021-02-281057Comets-Admirals-
148 - 2021-03-011063Admirals-Rampage-
151 - 2021-03-041087Admirals-Wolves-
152 - 2021-03-051089Griffins-Admirals-
155 - 2021-03-081117Bruins-Admirals-
157 - 2021-03-101135Admirals-Heat-
159 - 2021-03-121147Admirals-Gulls-
160 - 2021-03-131152Senators-Admirals-
162 - 2021-03-151168Admirals-Wolf Pack-
163 - 2021-03-161178Admirals-Eagles-
166 - 2021-03-191187Condors-Admirals-
167 - 2021-03-201194Admirals-Rampage-
169 - 2021-03-221211Admirals-Thunderbirds-
172 - 2021-03-251223Phantoms-Admirals-
174 - 2021-03-271238Admirals-Gulls-
175 - 2021-03-281243Admirals-Bears-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
181 - 2021-04-031271Wolves-Admirals-



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
17 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
755,552$ 1,323,499$ 643,416$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 755,552$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 80 7,272$ 581,760$




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
Saison Régulière
282244207333216293-7741161802131112140-284182405202104153-49482163675832178785012223275574470351312891481215033295917.93%2965880.41%0924239438.60%1114319034.92%496132437.46%1675111522616421035479
282284202046221260-3941152201021112134-2241132001025109126-175622137359422747863142278724790745562657779117817653477120.46%4538681.02%11255252949.62%1375288547.66%654126951.54%1901126720116241060526
382195301144183316-13341122301131101153-52417300001382163-81381833114943167545772458795784868433951116564215253315416.31%2505179.60%2793241732.81%1135367830.86%423123234.33%14859882502633976429
382115601365178302-124418270012398152-54413290124280150-702217830248000567045132396788789785793803113975715683204815.00%2967375.34%3920241238.14%1283352636.39%473124138.11%153310162459629984437
4823537040242512447411817020131301171341172002011121127-67025146671732998660102609838873884412811866171421215188917.18%72713781.16%81625297254.68%1633320550.95%695127154.68%1940128219886501034508
582234603433295363-6841112501112153177-2441122102321142186-444629550780211117937911327911031046109850301692565721451892915.34%2657870.57%61837299461.36%1281227556.31%840144058.33%194613882028559997485
68297000012238589-3514153600000112284-1724143400012126305-17918238430668209071761308896610141101175023145531719201732715.61%1334566.17%41320277447.58%1282302442.39%735160745.74%146110172534566939399
782472103155342226116412290113517911069412512020201631164794342595937121351099016355411171205120466265978562521022175023.04%2745081.75%81998331960.20%1592286155.64%792139256.90%2222161417325531026534
882304401043323320341161901032172163941142500011151157-66032354887130151907763658118511881259524083116535519251543623.38%1433674.83%01295287245.09%1483361341.05%631139245.33%178613062232534936442
882304401043323320341161901032172163941142500011151157-66032354887130151907763658118511881259524083116535519251543623.38%1433674.83%01295287245.09%1483361341.05%631139245.33%178613062232534936442
9461619021441741631124990210393876227100004181765491743024762176494317193762866062868184153622711621121916.96%1022971.57%0793171646.21%749177442.22%35978545.73%11117991134316562277
Total Saison Régulière86627247402513404227443396-6524341482240126212314341680-2464321242500137191913101716-40656127444749749322101094868717113311471008410281105345753705510894763919661284451818.21%308267977.97%32140552927148.02%144103364442.83%67291434546.91%1885013102231196244104904963
Séries
7127500000392910633000002016464200000191361439651040110131514701541371631637514582297491020.41%37878.38%027852552.95%22544650.45%10319353.37%2942002999215978
Total Séries127500000392910633000002016464200000191361439651040110131514701541371631637514582297491020.41%37878.38%027852552.95%22544650.45%10319353.37%2942002999215978