Admirals
GP: 82 | W: 46 | L: 30 | OTL: 6 | P: 98
GF: 338 | GA: 309 | PP%: 27.16% | PK%: 76.82%
DG: Yves Cardinal | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Admirals
46-30-6, 98pts
2
FINAL
7 Eagles
49-27-6, 104pts
Team Stats
L2StreakL1
28-11-2Home Record24-16-1
18-19-4Away Record25-11-5
6-4-0Last 10 Games5-5-0
4.12Buts par match 4.02
3.77Buts contre par match 3.48
27.16%Pourcentage en avantage numérique22.92%
76.82%Pourcentage en désavantage numérique80.51%
Admirals
46-30-6, 98pts
4
FINAL
5 Roadrunners
36-40-6, 78pts
Team Stats
L2StreakW1
28-11-2Home Record19-20-2
18-19-4Away Record17-20-4
6-4-0Last 10 Games5-5-0
4.12Buts par match 3.61
3.77Buts contre par match 3.96
27.16%Pourcentage en avantage numérique27.34%
76.82%Pourcentage en désavantage numérique77.45%
Meneurs d'équipe
Zachary FucaleVictoires
Zachary Fucale
29
Zachary FucalePourcentage d’arrêts
Zachary Fucale
0.898

Statistiques d’équipe
Buts pour
338
4.12 GFG
Tirs pour
3284
40.05 Avg
Pourcentage en avantage numérique
27.2%
66 GF
Début de zone offensive
41.5%
Buts contre
309
3.77 GAA
Tirs contre
2991
36.48 Avg
Pourcentage en désavantage numérique
76.8%
70 GA
Début de la zone défensive
40.1%
Information d’équipe

Directeur généralYves Cardinal
EntraîneurRyan Huska
DivisionCentral Division
ConférenceWestern Conference
CapitaineCurtis Lazar
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,948
Billets de saison300


Information formation

Équipe Pro33
Équipe Mineure20
Limite contact 53 / 80
Espoirs50


Historique d'équipe

Saison actuelle46-30-6 (98PTS)
Historique954-905-208 (0.462%)
Apparitions séries éliminatoires 5
Historique séries éliminatoires (W-L)17-28
Stanley Cup0


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
1Mikhail Grigorenko (R)0X100.00573594708580837669716559767368075670273925,000$
2Christian Fischer0X100.00903594658374876756646366716768075670241833,000$
3Julien Gauthier0X100.00814385659273786758656664686764075660242867,200$
4Tanner Kero0X100.00633587667183786772686359667771075650292850,000$
5Mackenzie MacEachern0X100.00824382637869806559636462657368075650272769,400$
6Jansen Harkins0XX100.00553595657486726475656156636764075630241824,400$
7Nate Schnarr0X100.00683782587987825770595660566362075610222925,000$
8Tyler Steenbergen0X100.00613591617084895957586056576563075610231780,000$
9Reese Johnson0X100.00876258617670735954576058616563075610232999,999$
10Raphael Lavoie (R)0X100.00775472618667715972586057636163075610213925,000$
11Erik Brannstrom0X100.00623972766682877130725964526365075650221931,000$
12Josh Brown0X100.00835374609479826030655867497368075640271800,000$
13Tyler Lewington0X100.00736452598077716130625768497367075620271750,000$
14Wiley Sherman0X100.00835770569268645730595263457166075610261999,999$
15Zachary Leslie0X100.00605470586979845630615459487367075600271999,999$
Rayé
1Curtis Lazar (C)0XX100.00843596687579756779656472647167075670261750,000$
2Adam Mascherin0X100.00634681647277826568616362646567075630231775,000$
3Daniel Walcott0X100.00966457597282745855595760567367075620272925,000$
4Jonah Gadjovich0X100.00584285628267706456586361626563075620231780,000$
5Justin Brazeau (R)0X100.00847689539366715352515659556563075600233925,000$
6Paul Cotter0X100.00644285587386915760565455586362075600222925,000$
7Bryan Moore0X100.00646259517460655358555552517367075570272925,000$
8Gavin Bayreuther0X100.00665075647679736330635961517367075630271750,000$
9Noah Juulsen0X95.08753595658178706330605557496764075620241828,400$
10Reilly Walsh (R)0X100.00603887576979845830595655486362075600223925,000$
11Will Reilly (R)0X100.00713670588072775630535557486764075590243925,000$
12Parker Wotherspoon0X100.00605963576979845630585360466764075590243950,000$
13Mac Hollowell0X100.00634381566369745630595453476563075580232925,000$
14Kevin Davis0X100.00583591546763685330555052456764075570241999,999$
MOYENNE D’ÉQUIPE99.8371467961777677614961586056686507562
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 SPÂgeContratSalaire
1Zachary Fucale100.0077838178767577767577767276075670261750,000$
2Dereck Baribeau100.0072848296717072717072716367075640222850,000$
Rayé
1Alex D'Orio (R)100.0072787682717072717072716367075630223925,000$
2Joel Hofer (R)100.0073848275727173727173726165075630213925,000$
MOYENNE D’ÉQUIPE100.007482808373727473727473656907564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Huska64706567686380CAN451975,000$


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
1Julien GauthierAdmirals (NSH)RW824065105197152921483749726810.70%26162919.87922316318410141126158.85%19200011.2913001595
2Christian FischerAdmirals (NSH)RW81395998116802722104071073109.58%37192723.80420245619811292514246.92%69700011.0205000568
3Curtis LazarAdmirals (NSH)C/RW6736488410300992223318224410.88%36154623.099112051170101102374156.08%204900011.0905000635
4Tanner KeroAdmirals (NSH)C82314071680282092737419511.36%15134816.4426820640115546255.37%170500011.0501000235
5Mikhail GrigorenkoAdmirals (NSH)C513038681160111552144314314.02%11101419.9061420281150003826254.27%137100011.3435000523
6Josh BrownAdmirals (NSH)D821847657915326122158438911.39%150199924.399514592020115212410.00%000100.6500001527
7Adam MascherinAdmirals (NSH)LW7427366351610631032387616511.34%17134418.17681431174000072356.25%11200000.9400020031
8Jansen HarkinsAdmirals (NSH)C/LW82124052-24012112253791894.74%19142717.4101111251010002640061.58%17700000.7311000130
9Gavin BayreutherAdmirals (NSH)D771536511027569100128338111.72%134188624.497714601900001227200.00%000100.5400010123
10Noah JuulsenAdmirals (NSH)D79104151203401025876256313.16%129164420.827714371740110205100.00%000000.6200000101
11Tyler LewingtonAdmirals (NSH)D66939481078101907911320717.96%127136020.614913481530111164030.00%000000.7100002032
12Mackenzie MacEachernAdmirals (NSH)LW4022173976076491653910913.33%1372318.0832523970000102250.00%4800111.0801000232
13Wiley ShermanAdmirals (NSH)D7772835-112002176164212810.94%97109614.2403331100009010.00%000000.6400000101
14Reese JohnsonAdmirals (NSH)RW82122335-181522091166581377.23%9115614.10000120002342048.03%12700100.6100100211
15Erik BrannstromAdmirals (NSH)D3261622080585754154811.11%3263419.823141877000065210.00%000000.6900000033
16Nate SchnarrAdmirals (NSH)C677152246011807825558.97%135187.7400000000001057.66%74400000.8500000002
17Jonah GadjovichAdmirals (NSH)LW429101950015010434678.65%845310.80000340001111148.21%5600000.8400000100
18Daniel WalcottAdmirals (NSH)LW42591412160603050111810.00%32997.14000220001211058.54%4100000.9300000010
19Parker WotherspoonAdmirals (NSH)D18134360171186412.50%926014.4500002000021000.00%000000.3100000001
20Tyler SteenbergenAdmirals (NSH)LW4021300039262177.69%01383.4600000000000022.22%900000.4300000000
21Zachary LeslieAdmirals (NSH)D22033-9408911570.00%1633215.1300000000124000.00%000000.1800000000
22Raphael LavoieAdmirals (NSH)C3600006012611270.00%1792.2200039000080061.76%3400000.0000000000
Statistiques d’équipe totales ou en moyenne132133861495212768640214719713302897231510.24%9022282217.28691261955311938358451829442054.84%736200460.83521134374450
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
1Zachary FucaleAdmirals (NSH)56292240.8983.7031626119519190210.688165428231
2Dereck BaribeauAdmirals (NSH)3317820.8973.6618024111010710001.00042854100
Statistiques d’équipe totales ou en moyenne89463060.8983.69496510230529900210.750208282331


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 restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam MascherinAdmirals (NSH)LW236/6/1998No200 Lbs5 ft11NoNoNo1Pro & Farm775,000$4,282$700,000$3,867$0$0$NoLien / Lien NHL
Alex D'OrioAdmirals (NSH)G224/28/1999Yes209 Lbs6 ft2NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$Lien
Bryan MooreAdmirals (NSH)LW275/25/1994No199 Lbs6 ft0NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Christian FischerAdmirals (NSH)RW244/15/1997No214 Lbs6 ft2NoNoNo1Pro & Farm833,000$4,602$833,000$4,602$0$0$NoLien / Lien NHL
Curtis LazarAdmirals (NSH)C/RW262/2/1995No193 Lbs6 ft0NoNoNo1Pro & Farm750,000$4,144$750,000$4,144$0$0$NoLien / Lien NHL
Daniel WalcottAdmirals (NSH)LW272/19/1994No175 Lbs6 ft1NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Dereck BaribeauAdmirals (NSH)G221/22/1999No218 Lbs6 ft6NoNoNo2Pro & Farm850,000$4,696$850,000$4,696$0$0$No850,000$Lien / Lien NHL
Erik BrannstromAdmirals (NSH)D229/2/1999No181 Lbs5 ft9NoNoNo1Pro & Farm931,000$5,144$931,000$5,144$0$0$NoLien / Lien NHL
Gavin BayreutherAdmirals (NSH)D275/12/1994No195 Lbs6 ft1NoNoNo1Pro & Farm750,000$4,144$750,000$4,144$0$0$NoLien / Lien NHL
Jansen HarkinsAdmirals (NSH)C/LW245/23/1997No182 Lbs6 ft1NoNoNo1Pro & Farm824,400$4,555$824,400$4,555$0$0$NoLien / Lien NHL
Joel HoferAdmirals (NSH)G217/30/2000Yes160 Lbs6 ft3NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$Lien
Jonah GadjovichAdmirals (NSH)LW2310/12/1998No209 Lbs6 ft2NoNoNo1Pro & Farm780,000$4,309$700,000$3,867$0$0$NoLien / Lien NHL
Josh BrownAdmirals (NSH)D271/21/1994No221 Lbs6 ft5NoNoNo1Pro & Farm800,000$4,420$800,000$4,420$0$0$NoLien / Lien NHL
Julien GauthierAdmirals (NSH)RW2410/15/1997No227 Lbs6 ft4NoNoNo2Pro & Farm867,200$4,791$867,200$4,791$0$0$No867,200$Lien / Lien NHL
Justin BrazeauAdmirals (NSH)RW232/2/1998Yes220 Lbs6 ft5NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Kevin DavisAdmirals (NSH)D243/14/1997No172 Lbs5 ft11NoNoNo1Pro & Farm999,999$5,525$999,999$5,525$0$0$NoLien / Lien NHL
Mac HollowellAdmirals (NSH)D239/26/1998No170 Lbs5 ft9NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Mackenzie MacEachernAdmirals (NSH)LW273/9/1994No190 Lbs6 ft2NoNoNo2Pro & Farm769,400$4,251$769,400$4,251$0$0$No769,400$Lien / Lien NHL
Mikhail GrigorenkoAdmirals (NSH)C275/16/1994Yes206 Lbs6 ft3NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Nate SchnarrAdmirals (NSH)C222/25/1999No180 Lbs6 ft3NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Noah JuulsenAdmirals (NSH)D244/2/1997No201 Lbs6 ft2NoNoNo1Pro & Farm828,400$4,577$828,400$4,577$0$0$NoLien / Lien NHL
Parker WotherspoonAdmirals (NSH)D248/24/1997No171 Lbs6 ft0NoNoNo3Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$950,000$Lien / Lien NHL
Paul CotterAdmirals (NSH)C2211/16/1999No191 Lbs6 ft0NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Raphael LavoieAdmirals (NSH)C219/25/2000Yes196 Lbs6 ft4NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Reese JohnsonAdmirals (NSH)RW237/10/1998No193 Lbs6 ft1NoNoNo2Pro & Farm999,999$5,525$999,999$5,525$0$0$No999,999$Lien / Lien NHL
Reilly WalshAdmirals (NSH)D224/21/1999Yes181 Lbs5 ft11NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Tanner KeroAdmirals (NSH)C297/24/1992No180 Lbs6 ft0NoNoNo2Pro & Farm850,000$4,696$850,000$4,696$0$0$No850,000$Lien / Lien NHL
Tyler LewingtonAdmirals (NSH)D2712/5/1994No200 Lbs6 ft2NoNoNo1Pro & Farm750,000$4,144$750,000$4,144$0$0$NoLien / Lien NHL
Tyler SteenbergenAdmirals (NSH)LW231/7/1998No188 Lbs5 ft11NoNoNo1Pro & Farm780,000$4,309$700,000$3,867$0$0$NoLien / Lien NHL
Wiley ShermanAdmirals (NSH)D265/24/1995No200 Lbs6 ft6NoNoNo1Pro & Farm999,999$5,525$999,999$5,525$0$0$NoLien / Lien NHL
Will ReillyAdmirals (NSH)D247/23/1997Yes197 Lbs6 ft2NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Zachary FucaleAdmirals (NSH)G265/28/1995No187 Lbs6 ft2NoNoNo1Pro & Farm750,000$4,144$750,000$4,144$0$0$NoLien / Lien NHL
Zachary LeslieAdmirals (NSH)D271/31/1994No175 Lbs6 ft0NoNoNo1Pro & Farm999,999$5,525$999,999$5,525$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3324.33193 Lbs6 ft11.79876,921$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mackenzie MacEachernChristian Fischer40122
2Mikhail GrigorenkoJulien Gauthier30122
3Jansen HarkinsTanner KeroReese Johnson20122
4Tyler SteenbergenNate SchnarrChristian Fischer10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh Brown40122
2Tyler Lewington30122
3Wiley ShermanZachary Leslie20122
4Josh Brown10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mackenzie MacEachernChristian Fischer60122
2Mikhail GrigorenkoJulien Gauthier40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh Brown60122
2Tyler Lewington40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Christian Fischer60122
2Mikhail GrigorenkoJulien Gauthier40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh Brown60122
2Tyler Lewington40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Christian Fischer60122Josh Brown60122
240122Tyler Lewington40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Christian Fischer60122
2Mikhail GrigorenkoJulien Gauthier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh Brown60122
2Tyler Lewington40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mackenzie MacEachernChristian FischerJosh Brown
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mackenzie MacEachernChristian FischerJosh Brown
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Raphael Lavoie, Tanner Kero, Jansen HarkinsRaphael Lavoie, Tanner KeroJansen Harkins
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Wiley Sherman, Zachary Leslie, Tyler LewingtonWiley ShermanZachary Leslie, Tyler Lewington
Tirs de pénalité
Christian Fischer, , Mikhail Grigorenko, Julien Gauthier, Mackenzie MacEachern
Gardien
#1 : Zachary Fucale, #2 : Dereck Baribeau
Lignes d’attaque personnalisées en prolongation
Christian Fischer, , Mikhail Grigorenko, Julien Gauthier, Mackenzie MacEachern, Tanner Kero, Tanner Kero, , Jansen Harkins, Nate Schnarr, Reese Johnson
Lignes de défense personnalisées en prolongation
Josh Brown, , Tyler Lewington, , Wiley Sherman


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
TotalDomicileVisiteur
# 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
1Americans211000009901010000045-11100000054120.500917260013310589137310591076110566792614548450.00%70100.00%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
2Barracuda312000001316-321100000111011010000026-420.3331322350013310589131271059107611056611446249013538.46%11645.45%11831328155.81%1659317152.32%772144753.35%2028143119135871028516
3Bears2110000067-1110000003211010000035-220.500612180013310589135510591076110566732318537228.57%9366.67%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
4Bruins20200000311-81010000036-31010000005-500.000358001331058913741059107611056679342550600.00%9455.56%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
5Checkers201000107701010000045-11000001032120.500711180013310589137810591076110566762618564250.00%9633.33%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
6Comets302010001114-32010100089-11010000035-220.3331122330013310589131181059107611056612032566810550.00%21385.71%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
7Condors31200000910-11010000046-22110000054120.33391726001331058913106105910761105661182626808225.00%12466.67%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
8Crunch21001000862110000003211000100054141.0008152300133105891312910591076110566711612545120.00%60100.00%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
9Devils220000001495110000006421100000085341.0001424380013310589139110591076110566782712504125.00%6183.33%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
10Eagles412010001216-42100100085320200000411-740.500122436001331058913157105910761105661464428100800.00%14192.86%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
11Firebirds301001011120-91010000018-7200001011012-220.333112031001331058913118105910761105661243243891317.69%7271.43%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
12Griffins2110000078-1110000005321010000025-320.500712190013310589137010591076110566681914546116.67%7185.71%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
13Gulls302000101213-120100010101001010000023-120.3331220320013310589131091059107611056610626206513430.77%9366.67%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
14Heat310011001183210001008621000100032150.833111829001331058913122105910761105661023414877114.29%60100.00%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
15IceHogs431000002115622000000945211000001211160.75021406100133105891315810591076110566131413311211218.18%13284.62%11831328155.81%1659317152.32%772144753.35%2028143119135871028516
16Marlies210001001165110000007161000010045-130.7501117280013310589137710591076110566631610457228.57%5260.00%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
17Monsters220000001174110000005321100000064241.00011213200133105891312410591076110566722413713133.33%40100.00%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
18Moose33000000198112200000013581100000063361.00019355400133105891313210591076110566903316635240.00%8187.50%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
19Penguins210000017611000000134-11100000042230.750714210013310589136510591076110566652018539222.22%9277.78%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
20Phantoms211000001073110000007251010000035-220.5001017271013310589131021059107611056663201647500.00%7271.43%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
21Reign302010001416-21010000045-1201010001011-120.33314253900133105891399105910761105661333730738450.00%14564.29%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
22Roadrunners311010001192100010005412110000065140.6671120310113310589131241059107611056610735307111436.36%15286.67%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
23Rocket21100000770110000004221010000035-220.500712190013310589139310591076110566822620538225.00%9277.78%11831328155.81%1659317152.32%772144753.35%2028143119135871028516
24Senators22000000936110000004041100000053241.00091524011331058913661059107611056675252045600.00%10190.00%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
25Silver Knights321000001495110000005232110000097240.66714243800133105891316210591076110566882126869333.33%13192.31%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
26Sound Tigers210000101183100000104311100000075241.000112031001331058913951059107611056662156488112.50%3166.67%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
27Stars413000001215-3211000009902020000036-320.25012203200133105891313810591076110566138453910211654.55%10370.00%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
28Thunderbirds42101000171432100100012932110000055060.7501733500013310589131581059107611056615263369211327.27%17570.59%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
29Wild42100001161332110000055021000001118350.6251632480013310589131441059107611056615941401089444.44%19478.95%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
30Wolf Pack21100000550110000004221010000013-220.50059140013310589135910591076110566833416594125.00%6183.33%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
31Wolves210010001073100010004311100000064241.000102030001331058913611059107611056674191649600.00%7271.43%01831328155.81%1659317152.32%772144753.35%2028143119135871028516
Total8235300833333830929412111051211821443841141903212156165-9980.598338613951121331058913328410591076110566299192670921272436627.16%3027076.82%31831328155.81%1659317152.32%772144753.35%2028143119135871028516
_Since Last GM Reset8235300833333830929412111051211821443841141903212156165-9980.598338613951121331058913328410591076110566299192670921272436627.16%3027076.82%31831328155.81%1659317152.32%772144753.35%2028143119135871028516
_Vs Conference47211805111198175232413603110112852723812020018690-4560.596198363561001331058913186710591076110566169151937512321283829.69%1643876.83%21831328155.81%1659317152.32%772144753.35%2028143119135871028516
_Vs Division261440200110810171381020005745121363000015156-5330.635108204312001331058913100510591076110566940299235666681826.47%881879.55%11831328155.81%1659317152.32%772144753.35%2028143119135871028516

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8298L233861395132842991926709212712
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8235308333338309
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4121115121182144
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4114193212156165
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2436627.16%3027076.82%3
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
105910761105661331058913
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
1831328155.81%1659317152.32%772144753.35%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2028143119135871028516


Derniers matchs 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 - 2021-10-1415Firebirds8Admirals1BLSommaire du match
5 - 2021-10-1629Wolves3Admirals4BWXSommaire du match
8 - 2021-10-1947Reign5Admirals4BLSommaire du match
10 - 2021-10-2158Wolf Pack2Admirals4BWSommaire du match
12 - 2021-10-2369Admirals6Moose3AWSommaire du match
13 - 2021-10-2480Admirals8Wild4AWSommaire du match
15 - 2021-10-2693Barracuda2Admirals8BWSommaire du match
19 - 2021-10-30117Sound Tigers3Admirals4BWXXSommaire du match
22 - 2021-11-02140Admirals3Heat2AWXSommaire du match
23 - 2021-11-03144Admirals4Condors2AWSommaire du match
25 - 2021-11-05159Admirals3Comets5ALSommaire du match
27 - 2021-11-07175Admirals6IceHogs7ALSommaire du match
30 - 2021-11-10193Admirals2Stars3ALSommaire du match
31 - 2021-11-11201Admirals3Thunderbirds4ALSommaire du match
33 - 2021-11-13219Roadrunners4Admirals5BWXSommaire du match
36 - 2021-11-16232Admirals4Marlies5ALXSommaire du match
38 - 2021-11-18250Admirals5Senators3AWSommaire du match
40 - 2021-11-20266Admirals3Rocket5ALSommaire du match
42 - 2021-11-22283Gulls6Admirals5BLSommaire du match
44 - 2021-11-24298Silver Knights2Admirals5BWSommaire du match
46 - 2021-11-26310Devils4Admirals6BWSommaire du match
47 - 2021-11-27324Admirals2Eagles4ALSommaire du match
50 - 2021-11-30342Monsters3Admirals5BWSommaire du match
52 - 2021-12-02358Bruins6Admirals3BLSommaire du match
54 - 2021-12-04368Rocket2Admirals4BWSommaire du match
57 - 2021-12-07391Admirals2Griffins5ALSommaire du match
59 - 2021-12-09405Admirals7Sound Tigers5AWSommaire du match
60 - 2021-12-10414Admirals8Devils5AWSommaire du match
62 - 2021-12-12432Admirals1Wolf Pack3ALSommaire du match
64 - 2021-12-14443Heat4Admirals3BLXSommaire du match
66 - 2021-12-16460Eagles3Admirals5BWSommaire du match
67 - 2021-12-17469Admirals6IceHogs4AWSommaire du match
69 - 2021-12-19484Admirals6Wolves4AWSommaire du match
71 - 2021-12-21498Moose1Admirals8BWSommaire du match
73 - 2021-12-23511Admirals3Checkers2AWXXSommaire du match
77 - 2021-12-27530Admirals1Stars3ALSommaire du match
79 - 2021-12-29543Admirals3Bears5ALSommaire du match
80 - 2021-12-30554Admirals6Monsters4AWSommaire du match
82 - 2022-01-01569IceHogs1Admirals5BWSommaire du match
85 - 2022-01-04593Admirals6Silver Knights3AWSommaire du match
87 - 2022-01-06611Admirals2Reign4ALSommaire du match
89 - 2022-01-08622Admirals2Roadrunners0AWSommaire du match
92 - 2022-01-11641Eagles2Admirals3BWXSommaire du match
94 - 2022-01-13656Americans5Admirals4BLSommaire du match
96 - 2022-01-15665Admirals0Bruins5ALSommaire du match
98 - 2022-01-17689Admirals2Thunderbirds1AWSommaire du match
99 - 2022-01-18696Comets4Admirals2BLSommaire du match
101 - 2022-01-20708Moose4Admirals5BWSommaire du match
103 - 2022-01-22728Griffins3Admirals5BWSommaire du match
106 - 2022-01-25751Admirals8Firebirds9ALXXSommaire du match
108 - 2022-01-27766Admirals1Condors2ALSommaire du match
113 - 2022-02-01803Comets5Admirals6BWXSommaire du match
116 - 2022-02-04819Stars6Admirals4BLSommaire du match
118 - 2022-02-06834Crunch2Admirals3BWSommaire du match
122 - 2022-02-10863Admirals2Firebirds3ALXSommaire du match
125 - 2022-02-13888Admirals2Barracuda6ALSommaire du match
128 - 2022-02-16907Stars3Admirals5BWSommaire du match
130 - 2022-02-18925Gulls4Admirals5BWXXSommaire du match
132 - 2022-02-20932Thunderbirds4Admirals5BWXSommaire du match
133 - 2022-02-21943Admirals3Wild4ALXXSommaire du match
135 - 2022-02-23957Penguins4Admirals3BLXXSommaire du match
137 - 2022-02-25970Admirals3Phantoms5ALSommaire du match
139 - 2022-02-27989Marlies1Admirals7BWSommaire du match
141 - 2022-03-011003Admirals2Gulls3ALSommaire du match
142 - 2022-03-021013Admirals8Reign7AWXSommaire du match
144 - 2022-03-041026Admirals3Silver Knights4ALSommaire du match
147 - 2022-03-071049Phantoms2Admirals7BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2022-03-091064Senators0Admirals4BWSommaire du match
152 - 2022-03-121083Admirals5Americans4AWSommaire du match
153 - 2022-03-131097Bears2Admirals3BWSommaire du match
156 - 2022-03-161120Wild3Admirals1BLSommaire du match
160 - 2022-03-201144Checkers5Admirals4BLSommaire du match
161 - 2022-03-211155Admirals4Penguins2AWSommaire du match
163 - 2022-03-231171Barracuda8Admirals3BLSommaire du match
165 - 2022-03-251187Condors6Admirals4BLSommaire du match
167 - 2022-03-271198IceHogs3Admirals4BWSommaire du match
168 - 2022-03-281211Thunderbirds5Admirals7BWSommaire du match
174 - 2022-04-031252Admirals5Crunch4AWXSommaire du match
175 - 2022-04-041267Wild2Admirals4BWSommaire du match
177 - 2022-04-061279Heat2Admirals5BWSommaire du match
179 - 2022-04-081295Admirals2Eagles7ALSommaire du match
180 - 2022-04-091312Admirals4Roadrunners5ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2516
Assistance80,49940,377
Assistance PCT98.17%98.48%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2948 - 98.27% 81,052$3,323,134$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,758,637$ 2,893,840$ 2,607,840$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
15,988$ 2,781,008$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 21,375$ 21,375$




Admirals Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Jordan Schroeder706193225418-7158764126419329.99%2151193416.903433672234372721644.33%30.70317
2Marc-Andre Cliche3621351953307142720830113511.89%218675618.662256781115383718549.32%20.98721
3Julien Gauthier30512918731686198726545114511.27%114661321.682851792113361819648.60%20.96216
4Steve Bernier2681511593102854516470111513.54%174552120.6037347112231412181037.62%91.12422
5Curtis Lazar2381091752845912038276799610.94%111521321.912336591451012021755.84%11.09214

Admirals Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Zachary Fucale2189391150.8963.601156418369466980240.72744
2Jordan Binnington22486105180.9052.931245341760964130640.71069
3Tomas Vokoun1408445100.9142.9382694540447122323770.74443
4Dov Grumet-Morris1306346150.9073.1776356740343212236730.72161
5Jeremy Smith95493570.9112.9755392127430651636540.82829

Admirals Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
580223808345167211-44401017061338593-84012210221282118-36761672814480130535349180005266126202475951123816891893518.52%2294480.79%4575124146.33%707159644.30%505107047.20%1421573186410091863936
580294200243239260-2140142500100113133-2040151700143126127-1712393926310506972942223060276684327491039108017761954422.56%2075374.40%7672142147.29%777167746.33%619123350.20%1416610192510071794873
680303103367238250-1240121800145115126-1140181303222123124-188238378616060578884203105846927262277667100017061964623.47%1894874.60%10711145948.73%807159750.53%605119350.71%1467624368820111853933
680333504620269295-2640181701220134141-740151803400135154-1984269437706220739793264407321038854262786994419222105626.67%1924377.60%6807171347.11%769165046.61%623132347.09%1471716389819931672794
776293702134224233-938151901012118123-538141801122106110-47322436659004066787521190618725760215268085419711884725.00%1765867.05%10727139852.00%698141049.50%599112653.20%147667714167751705864
776263505424186255-6938121603214103135-323814190221083120-377418629748303036766719790527748687255385374917541633622.09%1943283.51%7617138044.71%672161641.58%497115143.18%131157416568181630773
876213804175194249-553813180303198114-16388200114496135-397019430349744039628219160476661755226078081118691914523.56%2135972.30%5663136848.46%765155749.13%46595748.59%139358515118071719872
876282903565279256233817140223014512421381115013351341322842794447233105610810624520736888806254083895418821924322.40%2245575.45%6763167645.53%775168146.10%501113644.10%146370115767791585785
9803031017562352350401714004231271171040131701333108118-108523537861327055908419600500742691231876477422571953920.00%2075274.88%4683144847.17%810173946.58%507105348.15%147962415798431805909
980263405474254281-2740141604312129140-1140121801162125141-168425440666033066918526900830924911276390779324611563220.51%2565976.95%3832172848.15%863194144.46%500116043.10%157778316688141629787
1080233106767228254-2640121502434116132-1640111604333112122-1084228368596340458190232006908057752540835121820461614427.33%2185475.23%2828166949.61%831177946.71%582114550.83%150667716068441774881
1080293702237220239-1940161700133116119-340132002104104120-167722035057025045927823970698869809268686465120082075325.60%2045573.04%5815168348.43%872185746.96%495107046.26%150268916468271707855
1180273503744215227-1240101703622105108-340171800122110119-97921535356825041848323090708831730243680880823551624427.16%2416473.44%6777158549.02%829173247.86%482104746.04%153170015838441742851
1180313402535230263-3340151402324136138-24016200021194125-318223037360331055947626500835984800272894584122401915327.75%2926976.37%5907180050.39%967193150.08%530113846.57%154573916548351647792
1276313101346249252-338171601121127125238141500225122127-581249409658340529597283009121023881260983595923291815429.83%2787573.02%8899184748.67%884181048.84%564113049.91%157081615257661516724
13803326065822652362940101405461119120-140231201121146116301012654216861408296733109010471045982259589443221122093918.66%1212876.86%41054204451.57%881170951.55%599119650.08%168488815647931615798
148043230434330925752402014022111381241440239021321711333810830951882744078118105302009711038989281494690721811965528.06%2826975.53%10946188250.27%1003199750.23%631122151.68%161884016418081584757
1580293308244246255-940201104023139111284092204221107144-378824639464041074817925770852898790276091655519451906132.11%2266571.24%4882166752.91%963190350.60%593111053.42%154873416128061703864
1676333301234219222-338201401102113991438131900132106123-178021938960845079676921830666747752221566551015752154721.86%2244480.36%31146235948.58%1196242349.36%580118548.95%1777120518195701005497
1780194703344206267-6140102102124101137-364092601220105130-255920635756307071676123520753794782256277452015532264017.70%2215276.47%51227247849.52%1311263849.70%645126950.83%1811123219986091046506
1876194703016194278-8438102301004102139-37389240201292139-475219435154520070625819900650668658241374546415062074421.26%1824276.92%31045220347.44%1051238943.99%543121544.69%1692114019025761008493
1982254203354190248-5841171901112103122-19418230224287126-397319033952915072555519470644641637277486272117651762916.48%3165781.96%51039219147.42%1354291846.40%572121946.92%1726113121636431086510
2082304000435239267-2841132100223121139-1841171900212118128-107523942366232081797626130790881911273778573219942904415.17%3077376.22%31353285547.39%1405295147.61%634125350.60%1916129819896281062519
21823830074212992702941191303321147121264119170410015214939929954884722011390873063010019941033285184163620422215123.08%2705280.74%31628307352.98%1536294452.17%719136852.56%1961136719435861046522
2282293606452305321-1641141703331170167341151903121135154-19863055468513001051018829640963984972306588277620592436325.93%3207975.31%31692314353.83%1591300652.93%789145554.23%1964135319505981052521
238235300833333830929412111051211821443841141903212156165-998338613951121331058913328410591076110566299192670921272436627.16%3027076.82%31831328155.81%1659317152.32%772144753.35%2028143119135871028516
Total Saison régulière20627489050989310811062376690-453103138643105549535732023291-89103136247404344555330353399-3642111623710434166715299133173821662007634221059193872210320220674902187120636511245193121023.30%6091145176.18%134251195059249.65%259765362248.44%151513087049.08%418622271549302221903888919146
Séries éliminatoires
6404000001018-820200000813-52020000025-3010182800020811302921531464133929111.11%11281.82%0428151.85%387848.72%346056.67%7430377520549147
91055000002628-242200000880633000001820-21026406600088926706988814021275728923313.04%21576.19%09118050.56%11327640.94%5814041.43%18577232108228118
101688000004652-6716000001726-99720000029263164676122000141219569020415320664123131041926726.92%381268.42%119636953.12%21543249.77%11924049.58%312162343151306153
1340400000621-152020000036-320200000315-12069151001411460554541196513797200.00%7185.71%15610354.37%5310251.96%357050.00%824693377437
141147000003032-26240000018171523000001215-38304878010911938501271081473541209034213323.08%311067.74%114526355.13%13526151.72%7913956.83%219113217112225104
Total Séries éliminatoires45172800000118151-3321516000005470-16241212000006481-17341181913091103435461480048441552817395705271239731419.18%1083072.22%353099653.21%554114948.22%32564950.08%87443146622464927461

Admirals Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Jason Akeson114610501317537.55%1524622.43011501100050.00%00.8100
2Michael Bournival94595023163411.76%317919.93101200000050.00%01.0000
3Landon Ferraro114594232253013.33%1324822.62011310131054.08%00.7200
4Steve Bernier11347-303522466.52%822220.20112200000050.00%00.6300
5Tanner Richard1142611726102615.38%316214.76000000000050.00%00.7400

Admirals Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Tomas Vokoun114700.9102.916612132354167100.0000
2Dov Grumet-Morris30110.9342.9614200710654010.0000
3Jeremy Smith20200.8547.2910720138948000.0000