Norfolk Admirals

GP: 63 | W: 8 | L: 55 | OTL: 0 | P: 16
GF: 137 | GA: 333 | PP%: 8.41% | PK%: 76.61%
DG: Loic Roberge | Morale : 19 | Moyenne d'Équipe : N/A
Prochain matchs #968 vs Toronto 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 SP
1Cal O'ReillyXXX100.0050506369685168666959556275595916600
2Spencer Abbott (R)XX100.0063616768616764635061626259505016600
3Frederik GauthierX100.0065507470815466608755597350505016600
4Craig CunninghamXX100.0066657068655960725060656662515116600
5Laurent DauphinX100.0085508278675767585454588450505014100
6Michael SgarbossaX100.0077506775685765647364576450505016600
7J.T. BrownXXX100.0089507373715684605055577050656715900
8Jason AkesonXX100.0074686566687066675065656562505016600
9Chris PorterX100.0058757268757467555054506950646616600
10Marko DanoXX100.0079506781665664685064686650575714100
11Martin FrkXX100.0068717668717167645058676364505015700
12Kris NewburyX100.0068737565736262567050586455535315100
13Jeremy MorinXX100.0073696467696865585051586555555613100
14Dillon HeatheringtonX100.0058746165746669502560596050505016600
15David MusilX100.0063786362786769502551506350505016600
16Mason GeertsenX100.0056785665785860502550505950505016000
17Alex Lintuniemi (R)X100.0066857263755860502559506750505016600
18Mark AltX100.0065777260776367502553506450505016600
19Paul LaDue (R)X100.0079508879697068752563625650707016200
Rayé
1Hunter SmithXX100.0058817463815861525052506350505012000
2Joseph LaBateX100.0054505770745064505050555550505012000
3Brodie Dupont (R)X100.0068765960765158546855506150505012000
4Tony Cameranesi (R)X100.0059586763585660506350515850505012000
5Marc-Andre ClicheX100.0058736565735259506350506750606112200
6JC LiponXX100.0052675764676866565051565753505012000
MOYENNE D'ÉQUIPE100.006665686871616558505656645353541500
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
1Jordan Binnington100.006878846368706669706996686612800
2Reto Berra100.007076817668716970707031767016600
Rayé
1Jeff Lerg100.005775616867706967666846656512000
2Jonas Johansson (R)100.005669668263616064616131575912000
MOYENNE D'ÉQUIPE100.00637573726768666867675167651340
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Dineen64606064808569CAN521100,000$


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
1Jeremy MorinNorfolk Admirals (Ana)C/LW63331548-13104201791352210014.93%6489014.131341042000004246.15%5200001.0800022130
2Martin FrkNorfolk Admirals (Ana)C/LW4202-22042130015.38%4317.9500000000000033.33%300001.2600000000
Stats d'équipe Total ou en Moyenne67351550-15106201831372340014.96%6892113.761341042000004245.45%5500001.0800022130
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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 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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Alex LintuniemiNorfolk Admirals (Ana)D211995-09-22Yes231 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Brodie DupontNorfolk Admirals (Ana)C291987-02-17Yes209 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Cal O'ReillyNorfolk Admirals (Ana)C/LW/RW301986-09-29No188 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Chris PorterNorfolk Admirals (Ana)LW321984-05-28No206 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Craig CunninghamNorfolk Admirals (Ana)C/LW261990-09-12No184 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
David MusilNorfolk Admirals (Ana)D231993-04-08No207 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Dillon HeatheringtonNorfolk Admirals (Ana)D211995-05-08No196 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$No925,000$
Frederik GauthierNorfolk Admirals (Ana)C211995-04-26No214 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm863,000$0$0$No863,000$
Hunter SmithNorfolk Admirals (Ana)C/LW211995-09-10No208 Lbs6 ft7NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$No925,000$
J.T. BrownNorfolk Admirals (Ana)C/LW/RW261990-07-02No172 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
JC LiponNorfolk Admirals (Ana)C/LW231993-07-09No183 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Jason AkesonNorfolk Admirals (Ana)C/LW261990-06-03No190 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Jeff LergNorfolk Admirals (Ana)G301986-04-09No163 Lbs5 ft6NoNoNo3Sans RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Jeremy MorinNorfolk Admirals (Ana)C/LW251991-04-16No189 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Jonas JohanssonNorfolk Admirals (Ana)G211995-09-19Yes205 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Jordan BinningtonNorfolk Admirals (Ana)G231993-07-11No167 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Joseph LaBateNorfolk Admirals (Ana)C231993-04-16No190 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm680,000$0$0$No
Kris NewburyNorfolk Admirals (Ana)C341982-02-19No205 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Laurent DauphinNorfolk Admirals (Ana)C211995-03-27No180 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm894,000$0$0$No894,000$
Marc-Andre ClicheNorfolk Admirals (Ana)LW291987-03-22No202 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Mark AltNorfolk Admirals (Ana)D251991-10-17No201 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Marko DanoNorfolk Admirals (Ana)C/LW221994-11-30No183 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$No900,000$
Martin FrkNorfolk Admirals (Ana)C/LW231993-10-04No194 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Mason GeertsenNorfolk Admirals (Ana)D211995-04-18No205 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm675,000$0$0$No675,000$
Michael SgarbossaNorfolk Admirals (Ana)C241992-07-25No185 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Paul LaDueNorfolk Admirals (Ana)D241992-09-06Yes186 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Reto BerraNorfolk Admirals (Ana)G301987-01-02No210 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Spencer AbbottNorfolk Admirals (Ana)C/LW281988-04-30Yes170 Lbs5 ft9NoNoNo4Sans RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Tony CameranesiNorfolk Admirals (Ana)C231993-08-11Yes162 Lbs5 ft9NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2925.00193 Lbs6 ft12.31464,207$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1J.T. BrownMarko DanoCal O'Reilly40122
2Craig CunninghamJason AkesonLaurent Dauphin30122
3Martin FrkLaurent DauphinMarko Dano20122
4Spencer AbbottFrederik GauthierJ.T. Brown10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Paul LaDueAlex Lintuniemi40122
2Dillon HeatheringtonDavid Musil30122
3Mark AltMason Geertsen20122
4Paul LaDueAlex Lintuniemi10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1J.T. BrownMarko DanoCal O'Reilly60122
2Craig CunninghamJason AkesonLaurent Dauphin40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Paul LaDueAlex Lintuniemi60122
2Dillon HeatheringtonDavid Musil40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Marko DanoJ.T. Brown60122
2Jason AkesonLaurent Dauphin40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Paul LaDueAlex Lintuniemi60122
2Dillon HeatheringtonDavid Musil40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Marko Dano60122Paul LaDueAlex Lintuniemi60122
2J.T. Brown40122Dillon HeatheringtonDavid Musil40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Marko DanoJ.T. Brown60122
2Jason AkesonLaurent Dauphin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Paul LaDueAlex Lintuniemi60122
2Dillon HeatheringtonDavid Musil40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
J.T. BrownMarko DanoCal O'ReillyPaul LaDueAlex Lintuniemi
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
J.T. BrownMarko DanoCal O'ReillyPaul LaDueAlex Lintuniemi
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael Sgarbossa, Chris Porter, Jeremy MorinMichael Sgarbossa, Chris PorterJeremy Morin
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mark Alt, Mason Geertsen, Dillon HeatheringtonMark AltMason Geertsen, Dillon Heatherington
Tirs de Pénalité
Marko Dano, J.T. Brown, Jason Akeson, Laurent Dauphin, Frederik Gauthier
Gardien
#1 : Reto Berra, #2 : Jordan Binnington


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
1Abbotsford Heat20200000112-111010000004-41010000018-700.0001230050483814355551554021013814401119.09%7271.43%0519163831.68%622213029.20%31499631.53%9836462107477689277
2Adirondack Phantoms50500000434-301010000028-640400000226-2400.00046100050483819455551554022286361972800.00%20290.00%0519163831.68%622213029.20%31499631.53%9836462107477689277
3Albany Devils1010000007-7000000000001010000007-700.0000000050483811855551554024291221700.00%5180.00%0519163831.68%622213029.20%31499631.53%9836462107477689277
4Binghampton Senateurs20200000610-420200000610-40000000000000.0006121800504838137555515540288192129600.00%8362.50%0519163831.68%622213029.20%31499631.53%9836462107477689277
5Bridgeport Sound Tigers50500000823-152020000049-530300000414-1000.000816240050483811085555155402193433810236411.11%17476.47%0519163831.68%622213029.20%31499631.53%9836462107477689277
6Charlotte Checkers21100000871110000004221010000045-120.50081624005048381715555155402100322248500.00%12191.67%0519163831.68%622213029.20%31499631.53%9836462107477689277
7Chicago Wolves31200000916-721100000711-41010000025-320.333917260050483818955551554021374232571500.00%16287.50%0519163831.68%622213029.20%31499631.53%9836462107477689277
8Connecticut Whale220000001183110000006511100000053241.0001120310050483811115555155402113258508225.00%40100.00%0519163831.68%622213029.20%31499631.53%9836462107477689277
9Grand Rapids Griffins1010000025-3000000000001010000025-300.0002460050483813855551554024213820300.00%3233.33%0519163831.68%622213029.20%31499631.53%9836462107477689277
10Hamilton Bulldogs2110000058-3110000004311010000015-420.50051015005048381385555155402712814257114.29%60100.00%1519163831.68%622213029.20%31499631.53%9836462107477689277
11Hershey Bears20200000513-81010000026-41010000037-400.000510150050483814055551554021063137378225.00%15566.67%0519163831.68%622213029.20%31499631.53%9836462107477689277
12Houston Aeros1010000047-3000000000001010000047-300.000481200504838125555515540237117219111.11%110.00%0519163831.68%622213029.20%31499631.53%9836462107477689277
13Lake Erie Monsters10001000541000000000001000100054121.0005101500504838146555515540258118283133.33%4175.00%0519163831.68%622213029.20%31499631.53%9836462107477689277
14Manchester Monarchs32100000131302110000089-11100000054140.667132437005048381139555515540211948127811218.18%6266.67%0519163831.68%622213029.20%31499631.53%9836462107477689277
15Milwaukee Admirals1010000016-51010000016-50000000000000.000123005048381265555155402269620800.00%3166.67%0519163831.68%622213029.20%31499631.53%9836462107477689277
16Oklahoma City Barons20200000111-101010000013-21010000008-800.000123005048381495555155402701812311100.00%6350.00%0519163831.68%622213029.20%31499631.53%9836462107477689277
17Peoria Rivermen2020000028-61010000016-51010000012-100.00024600504838168555515540299328539111.11%4175.00%0519163831.68%622213029.20%31499631.53%9836462107477689277
18Portland Pirates30300000923-141010000028-620200000715-800.000916250050483817355551554021333923409333.33%8450.00%0519163831.68%622213029.20%31499631.53%9836462107477689277
19Providence Bruins20200000410-61010000023-11010000027-500.0004812005048381425555155402831922291119.09%6350.00%0519163831.68%622213029.20%31499631.53%9836462107477689277
20Rochester Americans2020000037-41010000013-21010000024-200.00036900504838145555515540262199351119.09%2150.00%0519163831.68%622213029.20%31499631.53%9836462107477689277
21Rockford IceHogs2020000029-72020000029-70000000000000.000246005048381335555155402791733271516.67%14471.43%0519163831.68%622213029.20%31499631.53%9836462107477689277
22San Antonio Rampage1010000047-31010000047-30000000000000.00048120050483814755551554026191350200.00%40100.00%0519163831.68%622213029.20%31499631.53%9836462107477689277
23Springfield Falcons40400000823-1520200000310-720200000513-800.000816240050483816555551554021524941761800.00%18477.78%0519163831.68%622213029.20%31499631.53%9836462107477689277
24St-John Ice Caps1010000013-21010000013-20000000000000.000123005048381255555155402157411300.00%20100.00%0519163831.68%622213029.20%31499631.53%9836462107477689277
25Syracuse Crunch30300000814-61010000037-42020000057-200.0008152300504838171555515540212535375620315.00%150100.00%0519163831.68%622213029.20%31499631.53%9836462107477689277
26Texas Stars30300000619-1320200000314-111010000035-200.000611170050483814755551554021282624491915.26%11554.55%0519163831.68%622213029.20%31499631.53%9836462107477689277
27Toronto Marlies1010000047-3000000000001010000047-300.0004711005048381535555155402572014393133.33%7185.71%0519163831.68%622213029.20%31499631.53%9836462107477689277
Total6375501000137333-196325270000069160-91312280100068173-105160.1271372603970050483811612555515540226827565951241309268.41%2485876.61%1519163831.68%622213029.20%31499631.53%9836462107477689277
29Wilkes-Barre Penguins1010000005-51010000005-50000000000000.00000000504838116555515540237131923600.00%7357.14%0519163831.68%622213029.20%31499631.53%9836462107477689277
30Worchester Sharks30300000314-112020000029-71010000015-400.000347005048381555555155402120313649700.00%17288.24%0519163831.68%622213029.20%31499631.53%9836462107477689277
_Since Last GM Reset6375501000137333-196325270000069160-91312280100068173-105160.1271372603970050483811612555515540226827565951241309268.41%2485876.61%1519163831.68%622213029.20%31499631.53%9836462107477689277
_Vs Conference374330000080200-12018216000004192-51192170000039108-6980.1088014922900504838189455551554021554431371698178179.55%1483377.70%0519163831.68%622213029.20%31499631.53%9836462107477689277
_Vs Division22080000044120-76905000002145-241303000002375-5200.0004484128005048381523555515540297126523845411686.90%982079.59%0519163831.68%622213029.20%31499631.53%9836462107477689277

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6316L1013726039716122682756595124100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
637551000137333
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32527000069160
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
31228100068173
Derniers 10 Matchs
WLOTWOTL SOWSOL
0100000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
309268.41%2485876.61%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
55551554025048381
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
519163831.68%622213029.20%31499631.53%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
9836462107477689277


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
3 - 2017-10-0312Springfield Falcons6Norfolk Admirals2LSommaire du Match
4 - 2017-10-0423Norfolk Admirals0Adirondack Phantoms8LSommaire du Match
6 - 2017-10-0639Connecticut Whale5Norfolk Admirals6WSommaire du Match
7 - 2017-10-0745Norfolk Admirals1Bridgeport Sound Tigers5LSommaire du Match
10 - 2017-10-1053Norfolk Admirals1Adirondack Phantoms8LSommaire du Match
13 - 2017-10-1379Texas Stars7Norfolk Admirals2LSommaire du Match
15 - 2017-10-1592Norfolk Admirals0Adirondack Phantoms4LSommaire du Match
17 - 2017-10-17108Providence Bruins3Norfolk Admirals2LSommaire du Match
18 - 2017-10-18125Rockford IceHogs3Norfolk Admirals0LSommaire du Match
21 - 2017-10-21145Norfolk Admirals1Springfield Falcons8LSommaire du Match
22 - 2017-10-22159Binghampton Senateurs5Norfolk Admirals4LSommaire du Match
25 - 2017-10-25180Norfolk Admirals4Houston Aeros7LSommaire du Match
29 - 2017-10-29194Chicago Wolves4Norfolk Admirals5WSommaire du Match
31 - 2017-10-31215Norfolk Admirals2Syracuse Crunch3LSommaire du Match
32 - 2017-11-01223Bridgeport Sound Tigers4Norfolk Admirals2LSommaire du Match
33 - 2017-11-02241Norfolk Admirals2Bridgeport Sound Tigers5LSommaire du Match
35 - 2017-11-04252Hershey Bears6Norfolk Admirals2LSommaire du Match
37 - 2017-11-06272Norfolk Admirals4Toronto Marlies7LSommaire du Match
39 - 2017-11-08284Milwaukee Admirals6Norfolk Admirals1LSommaire du Match
40 - 2017-11-09297Norfolk Admirals4Charlotte Checkers5LSommaire du Match
42 - 2017-11-11308Manchester Monarchs3Norfolk Admirals4WSommaire du Match
44 - 2017-11-13334Norfolk Admirals1Bridgeport Sound Tigers4LSommaire du Match
45 - 2017-11-14345St-John Ice Caps3Norfolk Admirals1LSommaire du Match
48 - 2017-11-17366Binghampton Senateurs5Norfolk Admirals2LSommaire du Match
50 - 2017-11-19379Norfolk Admirals3Portland Pirates8LSommaire du Match
52 - 2017-11-21397Manchester Monarchs6Norfolk Admirals4LSommaire du Match
54 - 2017-11-23409Norfolk Admirals1Worchester Sharks5LSommaire du Match
56 - 2017-11-25424Abbotsford Heat4Norfolk Admirals0LSommaire du Match
57 - 2017-11-26436Norfolk Admirals1Hamilton Bulldogs5LSommaire du Match
60 - 2017-11-29457Portland Pirates8Norfolk Admirals2LSommaire du Match
61 - 2017-11-30472Norfolk Admirals0Oklahoma City Barons8LSommaire du Match
63 - 2017-12-02489San Antonio Rampage7Norfolk Admirals4LSommaire du Match
64 - 2017-12-03503Norfolk Admirals1Abbotsford Heat8LSommaire du Match
68 - 2017-12-07519Syracuse Crunch7Norfolk Admirals3LSommaire du Match
70 - 2017-12-09535Norfolk Admirals4Springfield Falcons5LSommaire du Match
71 - 2017-12-10547Norfolk Admirals2Rochester Americans4LSommaire du Match
74 - 2017-12-13556Rochester Americans3Norfolk Admirals1LSommaire du Match
76 - 2017-12-15579Charlotte Checkers2Norfolk Admirals4WSommaire du Match
80 - 2017-12-19601Norfolk Admirals2Providence Bruins7LSommaire du Match
81 - 2017-12-20609Hamilton Bulldogs3Norfolk Admirals4WSommaire du Match
87 - 2017-12-26630Norfolk Admirals1Peoria Rivermen2LSommaire du Match
88 - 2017-12-27639Chicago Wolves7Norfolk Admirals2LSommaire du Match
90 - 2017-12-29660Norfolk Admirals5Lake Erie Monsters4WXSommaire du Match
91 - 2017-12-30672Oklahoma City Barons3Norfolk Admirals1LSommaire du Match
94 - 2018-01-02694Norfolk Admirals5Connecticut Whale3WSommaire du Match
95 - 2018-01-03703Adirondack Phantoms8Norfolk Admirals2LSommaire du Match
99 - 2018-01-07726Norfolk Admirals4Portland Pirates7LSommaire du Match
100 - 2018-01-08731Springfield Falcons4Norfolk Admirals1LSommaire du Match
102 - 2018-01-10754Bridgeport Sound Tigers5Norfolk Admirals2LSommaire du Match
105 - 2018-01-13775Norfolk Admirals1Adirondack Phantoms6LSommaire du Match
106 - 2018-01-14787Worchester Sharks2Norfolk Admirals0LSommaire du Match
107 - 2018-01-15800Norfolk Admirals2Grand Rapids Griffins5LSommaire du Match
110 - 2018-01-18814Norfolk Admirals5Manchester Monarchs4WSommaire du Match
111 - 2018-01-19823Rockford IceHogs6Norfolk Admirals2LSommaire du Match
114 - 2018-01-22841Norfolk Admirals2Chicago Wolves5LSommaire du Match
115 - 2018-01-23853Peoria Rivermen6Norfolk Admirals1LSommaire du Match
116 - 2018-01-24871Norfolk Admirals3Syracuse Crunch4LSommaire du Match
118 - 2018-01-26882Wilkes-Barre Penguins5Norfolk Admirals0LSommaire du Match
120 - 2018-01-28902Texas Stars7Norfolk Admirals1LSommaire du Match
121 - 2018-01-29913Norfolk Admirals3Texas Stars5LSommaire du Match
123 - 2018-01-31923Norfolk Admirals3Hershey Bears7LSommaire du Match
124 - 2018-02-01939Norfolk Admirals0Albany Devils7LSommaire du Match
125 - 2018-02-02946Worchester Sharks7Norfolk Admirals2LSommaire du Match
129 - 2018-02-06968Toronto Marlies-Norfolk Admirals-
131 - 2018-02-08979Norfolk Admirals-Houston Aeros-
133 - 2018-02-10993Norfolk Admirals-Binghampton Senateurs-
135 - 2018-02-121005Grand Rapids Griffins-Norfolk Admirals-
137 - 2018-02-141012Norfolk Admirals-Milwaukee Admirals-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2018-02-161028Norfolk Admirals-San Antonio Rampage-
141 - 2018-02-181041Connecticut Whale-Norfolk Admirals-
143 - 2018-02-201060Norfolk Admirals-St-John Ice Caps-
144 - 2018-02-211070Providence Bruins-Norfolk Admirals-
146 - 2018-02-231089Norfolk Admirals-St-John Ice Caps-
147 - 2018-02-241095Norfolk Admirals-Hershey Bears-
149 - 2018-02-261105Albany Devils-Norfolk Admirals-
150 - 2018-02-271122Norfolk Admirals-Wilkes-Barre Penguins-
152 - 2018-03-011133Lake Erie Monsters-Norfolk Admirals-
154 - 2018-03-031146Norfolk Admirals-Wilkes-Barre Penguins-
155 - 2018-03-041158Norfolk Admirals-Rockford IceHogs-
158 - 2018-03-071170Houston Aeros-Norfolk Admirals-
161 - 2018-03-101194Houston Aeros-Norfolk Admirals-
167 - 2018-03-161225Albany Devils-Norfolk 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
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
182,441$ 134,620$ 108,898$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 107,321$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 42 1,388$ 58,296$




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
126375501000137333-196325270000069160-91312280100068173-105161372603970050483811612555515540226827565951241309268.41%2485876.61%1519163831.68%622213029.20%31499631.53%9836462107477689277
Total Saison Régulière6375501000137333-196325270000069160-91312280100068173-105161372603970050483811612555515540226827565951241309268.41%2485876.61%1519163831.68%622213029.20%31499631.53%9836462107477689277