Version obsolète du STHS! Veuillez mettre à jour votre version!
Connexion

Wilkes-Barre/Scranton Penguins
GP: 12 | W: 5 | L: 7
GF: 36 | GA: 34 | PP%: 21.43% | PK%: 62.50%
DG: Mike Chontos | Morale : 62 | Moyenne d’équipe : 64
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Wilkes-Barre/Scranton Penguins
5-7-0, 10pts
2
FINAL
4 Manitoba Moose
11-8-0, 22pts
Team Stats
L3StreakL2
3-4-0Home Record6-3-0
2-3-0Away Record5-5-0
4-4-2Last 10 Games6-4-0
3.00Buts par match 2.79
2.83Buts contre par match 2.42
21.43%Pourcentage en avantage numérique28.57%
62.50%Pourcentage en désavantage numérique68.18%
Manitoba Moose
11-8-0, 22pts
4
FINAL
2 Wilkes-Barre/Scranton Penguins
5-7-0, 10pts
Team Stats
L2StreakL3
6-3-0Home Record3-4-0
5-5-0Away Record2-3-0
6-4-0Last 10 Games4-4-2
2.79Buts par match 3.00
2.42Buts contre par match 2.83
28.57%Pourcentage en avantage numérique21.43%
68.18%Pourcentage en désavantage numérique62.50%
Meneurs d'équipe
Alexander RadulovButs
Alexander Radulov
9
Alexander RadulovPasses
Alexander Radulov
8
Alexander RadulovPoints
Alexander Radulov
17
Calen AddisonPlus/Moins
Calen Addison
7
Karel VejmelkaVictoires
Karel Vejmelka
5
Karel VejmelkaPourcentage d’arrêts
Karel Vejmelka
0.924

Statistiques d’équipe
Buts pour
36
3.00 GFG
Tirs pour
462
38.50 Avg
Pourcentage en avantage numérique
21.4%
3 GF
Début de zone offensive
41.6%
Buts contre
34
2.83 GAA
Tirs contre
422
35.17 Avg
Pourcentage en désavantage numérique
62.5%%
3 GA
Début de la zone défensive
35.2%
Informations de l'équipe

Directeur généralMike Chontos
EntraîneurMike Rupp
DivisionEast Division
ConférenceEastern Conference
CapitaineJames Neal
Assistant #1
Assistant #2Jaromir Jagr


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro37
Équipe Mineure19
Limite contact 56 / 65
Espoirs9


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
1Casey Mittelstadt0X100.005035928763946076706762605558670846502442,500,000$
2Alexander Radulov0XX100.00523583876588927455615558558871084650363800,000$
3Dominik Simon0XXX100.00614382885877996355515368556868084630282800,000$
4Joe Thornton0XX100.00523587807679756959526255559972084630433800,000$
5Peyton Krebs (R)0XX100.00503584865989946855626055555362084630224863,333$
6Mark Jankowski0X100.00503589827467705667525871556867085620282800,000$
7JJ Peterka (R)0XX100.00503595825967708150455077555071084620216855,833$
8James Neal (C)18XX100.00573595827267706755485865558574084620353800,000$
9Thomas Bordeleau (R)0X100.00503595875267707265615071555068084620214916,667$
10Sam Lafferty0X100.00944375866375996166545055556570084620284750,000$
11Jack Quinn (R)0X100.00503595825967708650455468555070084610213894,167$
12Alexander Holtz (R)0XX100.00503589866167707850485063555066084600215925,000$
13Rhett Gardner (R)0X100.00503595827165707255455063556569085600273750,000$
14Turner Elson0X100.00503595826067705750455066557368085580303750,000$
15Dustin Jeffrey0XX100.00643575736168704853555353476048085550353750,000$
16Valtteri Puustinen (R)0X100.00503595825267705050455055555561085550242842,500$
17Samuel Poulin (R)0X100.00573575776470694949455254486048087540223863,333$
18Trevor van Riemsdyk0X100.00505980846388877540585282407572085700312800,000$
19Juuso Riikola0X100.00853590835679996740545471406567084680291950,000$
20Adam Boqvist (R)0X100.005135899056876475405780664053670846602252,600,000$
21Marc-Edouard Vlasic0X100.00553588856282926340525663408871084650363800,000$
22Sean Day (R)0X100.00503595826967667740405065406069085620251750,000$
23Calen Addison (R)2X100.00523591825067706840486463405566085600232795,000$
24Victor Soderstrom (R)0X100.00543585825367705540405071405364084600224863,333$
25Louis Belpedio (R)0X100.00603575716258685354494751407358085550271750,000$
Rayé
1Mark Arcobello0XXX100.00603575755269704954524550536048020530341750,000$
2Alex Nylander0X100.00553575726066695050505046536048020530252750,000$
3Jaromir Jagr (A)0X100.00593575775465654550514549546048019520511750,000$
4Derek Forbort0X100.00765978847189956140515880407574026710313800,000$
5Ben Gleason (R)0X100.00503575745256675051485351407358020540254750,000$
MOYENNE D’ÉQUIPE100.0056378682617376645151546249656407461
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
1Brian Elliott0100.0087707194888282828288679388085820382750,000$
2Karel Vejmelka (R)0100.00829299968586868686856063730868202752,725,000$
Rayé
1Logan Thompson36100.0087707196908383838390626371023800264750,000$
2Matt Murray0100.00887072969082828282905268740238002941,250,001$
3Spencer Knight (R)0100.0088705895927777777792505063024760222925,000$
4Lukas Dostal (R)0100.0082705894957676767695625365024760232822,500$
5Taylor Gauthier (R)0100.0055555555555555555555555555024540223800,000$
MOYENNE D’ÉQUIPE100.008171698985777777778558647004176
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Rupp80808080808080USA442500,000$


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
1Alexander RadulovWilkes-Barre/Scranton Penguins (PIT)LW/RW12981734019874224112.16%926422.07112614000052147.83%23158001.2800000210
2Casey MittelstadtWilkes-Barre/Scranton Penguins (PIT)C126814300192460163410.00%826622.19000214000081055.81%430236001.0500000020
3Peyton KrebsWilkes-Barre/Scranton Penguins (PIT)C/LW125611020171132142715.63%320116.83011010000000050.00%10123001.0900000101
4Joe ThorntonWilkes-Barre/Scranton Penguins (PIT)C/LW1236904024154016297.50%820216.86101210000000054.30%186156000.8900000010
5Jack QuinnWilkes-Barre/Scranton Penguins (PIT)RW124262004731113312.90%414512.1200000000000066.67%385000.8200000002
6Sam LaffertyWilkes-Barre/Scranton Penguins (PIT)C12246200276216129.52%214512.1200000000001164.62%6571000.8200000020
7JJ PeterkaWilkes-Barre/Scranton Penguins (PIT)LW/RW1214500012242010235.00%720216.89022110000001053.33%1555000.4900000000
8James NealWilkes-Barre/Scranton Penguins (PIT)LW/RW1214520085207185.00%714512.1200000000000060.00%594000.6900000001
9Trevor van RiemsdykWilkes-Barre/Scranton Penguins (PIT)D120446401423204140.00%2028223.5300001400015000.00%0416000.2800000000
10Calen AddisonWilkes-Barre/Scranton Penguins (PIT)D120447551616238100.00%2332026.6801111400000000.00%01319000.2500001001
11Adam BoqvistWilkes-Barre/Scranton Penguins (PIT)D12224-500664012215.00%1223419.5610131100004000.00%0711000.3400000000
12Dominik SimonWilkes-Barre/Scranton Penguins (PIT)C/LW/RW122133002928219169.52%826321.98000014000050053.85%2639000.2300000001
13Sean DayWilkes-Barre/Scranton Penguins (PIT)D12022-100488300.00%215412.860000000002000.00%008000.2600000000
14Marc-Edouard VlasicWilkes-Barre/Scranton Penguins (PIT)D12022000444110.00%1416313.650000000008000.00%016000.2400000000
15Alexander HoltzWilkes-Barre/Scranton Penguins (PIT)LW/RW12011-30052197240.00%21018.4400000000000066.67%353000.2000000000
16Valtteri PuustinenWilkes-Barre/Scranton Penguins (PIT)RW12101-3008352020.00%31008.4100000000000066.67%311000.2000000000
17Juuso RiikolaWilkes-Barre/Scranton Penguins (PIT)D12011-5001914119130.00%1423419.5200001100014000.00%026000.0900000000
18Mark JankowskiWilkes-Barre/Scranton Penguins (PIT)C12000-300815136140.00%51058.7900000000040057.14%3532000.00%00000000
19Dustin JeffreyWilkes-Barre/Scranton Penguins (PIT)C/LW12000000000000.00%010.150000000001000.00%000000.00%00000000
20Rhett GardnerWilkes-Barre/Scranton Penguins (PIT)C12000000000000.00%030.260000000000000.00%000000.00%00000000
21Thomas BordeleauWilkes-Barre/Scranton Penguins (PIT)C12000000000000.00%030.30000000000000100.00%100000.00%00000000
22Victor SoderstromWilkes-Barre/Scranton Penguins (PIT)D12000200010100.00%2554.620000000000000.00%002000.00%00000000
Statistiques d’équipe totales ou en moyenne264365995101952432204621643307.79%153359913.63358151270002505256.02%805133121000.5300001366
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
1Karel VejmelkaWilkes-Barre/Scranton Penguins (PIT)125520.9242.677192032420192120.00%0120102
Statistiques d’équipe totales ou en moyenne125520.9242.677192032420192120120102


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 Waiver Possible Contrat Type Salaire actuel Plafond 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 BoqvistWilkes-Barre/Scranton Penguins (PIT)D228/15/2000Yes189 Lbs6 ft0NoNoNoNo5Pro & Farm2,600,000$0$0$No2,600,000$2,600,000$2,600,000$2,600,000$Lien / Lien NHL
Alex NylanderWilkes-Barre/Scranton Penguins (PIT)LW253/2/1998No192 Lbs6 ft1NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Alexander HoltzWilkes-Barre/Scranton Penguins (PIT)LW/RW211/23/2002Yes195 Lbs6 ft0NoNoNoNo5Pro & Farm925,000$0$0$No925,000$925,000$925,000$925,000$Lien
Alexander RadulovWilkes-Barre/Scranton Penguins (PIT)LW/RW367/5/1986No200 Lbs6 ft1NoNoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien / Lien NHL
Ben GleasonWilkes-Barre/Scranton Penguins (PIT)D253/25/1998Yes185 Lbs6 ft1NoNoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$Lien
Brian ElliottWilkes-Barre/Scranton Penguins (PIT)G384/9/1985No209 Lbs6 ft2NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Calen AddisonWilkes-Barre/Scranton Penguins (PIT)D234/11/2000Yes173 Lbs5 ft11NoNoNoNo2Pro & Farm795,000$0$0$No795,000$Lien / Lien NHL
Casey MittelstadtWilkes-Barre/Scranton Penguins (PIT)C2411/22/1998No195 Lbs6 ft1NoNoNoNo4Pro & Farm2,500,000$0$0$No2,500,000$2,500,000$2,500,000$Lien / Lien NHL
Derek ForbortWilkes-Barre/Scranton Penguins (PIT)D313/4/1992No217 Lbs6 ft4NoNoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien / Lien NHL
Dominik SimonWilkes-Barre/Scranton Penguins (PIT)C/LW/RW288/8/1994No190 Lbs5 ft11NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien
Dustin JeffreyWilkes-Barre/Scranton Penguins (PIT)C/LW352/27/1988No205 Lbs6 ft1NoNoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
JJ PeterkaWilkes-Barre/Scranton Penguins (PIT)LW/RW211/14/2002 8:08:10 AMYes192 Lbs5 ft11NoNoNoNo6Pro & Farm855,833$0$0$No855,833$855,833$855,833$855,833$855,833$Lien / Lien NHL
Jack QuinnWilkes-Barre/Scranton Penguins (PIT)RW219/19/2001Yes185 Lbs6 ft0NoNoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Lien / Lien NHL
James NealWilkes-Barre/Scranton Penguins (PIT)LW/RW359/3/1987No212 Lbs6 ft3NoNoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien
Jaromir JagrWilkes-Barre/Scranton Penguins (PIT)RW512/15/1972No230 Lbs6 ft3NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Joe ThorntonWilkes-Barre/Scranton Penguins (PIT)C/LW437/2/1979No220 Lbs6 ft4NoNoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien
Juuso RiikolaWilkes-Barre/Scranton Penguins (PIT)D2911/9/1993No189 Lbs6 ft0NoNoNoNo1Pro & Farm950,000$0$0$NoLien
Karel VejmelkaWilkes-Barre/Scranton Penguins (PIT)G275/25/1996Yes224 Lbs6 ft4NoNoNoNo5Pro & Farm2,725,000$0$0$No2,725,000$2,725,000$2,725,000$2,725,000$Lien / Lien NHL
Logan ThompsonWilkes-Barre/Scranton Penguins (PIT)G262/25/1997No201 Lbs6 ft4NoNoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$Lien / Lien NHL
Louis BelpedioWilkes-Barre/Scranton Penguins (PIT)D275/14/1996Yes196 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Lukas DostalWilkes-Barre/Scranton Penguins (PIT)G236/22/2000Yes174 Lbs6 ft2NoNoNoNo2Pro & Farm822,500$0$0$No822,500$Lien / Lien NHL
Marc-Edouard VlasicWilkes-Barre/Scranton Penguins (PIT)D363/30/1987No205 Lbs6 ft1NoNoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Lien / Lien NHL
Mark ArcobelloWilkes-Barre/Scranton Penguins (PIT)C/LW/RW348/12/1988No174 Lbs5 ft8NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Mark JankowskiWilkes-Barre/Scranton Penguins (PIT)C289/13/1994No212 Lbs6 ft4NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Matt MurrayWilkes-Barre/Scranton Penguins (PIT)G295/25/1994No202 Lbs6 ft4NoNoNoNo4Pro & Farm1,250,001$0$0$No1,250,001$1,250,001$1,250,001$Lien / Lien NHL
Peyton KrebsWilkes-Barre/Scranton Penguins (PIT)C/LW221/26/2001Yes185 Lbs6 ft0NoNoNoNo4Pro & Farm863,333$0$0$No863,333$863,333$863,333$Lien / Lien NHL
Rhett GardnerWilkes-Barre/Scranton Penguins (PIT)C272/28/1996Yes210 Lbs6 ft3NoNoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Sam LaffertyWilkes-Barre/Scranton Penguins (PIT)C283/6/1995No195 Lbs6 ft1NoNoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$Lien / Lien NHL
Samuel PoulinWilkes-Barre/Scranton Penguins (PIT)RW222/25/2001Yes208 Lbs6 ft1NoNoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$Lien
Sean DayWilkes-Barre/Scranton Penguins (PIT)D251/9/1998Yes218 Lbs6 ft3NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Spencer KnightWilkes-Barre/Scranton Penguins (PIT)G224/19/2001Yes192 Lbs6 ft3NoNoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Taylor GauthierWilkes-Barre/Scranton Penguins (PIT)G222/15/2001 2:03:43 AMYes207 Lbs6 ft2NoNoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Thomas BordeleauWilkes-Barre/Scranton Penguins (PIT)C211/3/2002Yes175 Lbs5 ft10NoNoNoNo4Pro & Farm916,667$0$0$No916,667$916,667$916,667$Lien
Trevor van RiemsdykWilkes-Barre/Scranton Penguins (PIT)D317/24/1991No191 Lbs6 ft3NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Turner ElsonWilkes-Barre/Scranton Penguins (PIT)LW309/13/1992No191 Lbs6 ft0NoNoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Valtteri PuustinenWilkes-Barre/Scranton Penguins (PIT)RW246/4/1999Yes183 Lbs5 ft9NoNoNoNo2Pro & Farm842,500$0$0$No842,500$Lien
Victor SoderstromWilkes-Barre/Scranton Penguins (PIT)D222/26/2001Yes184 Lbs5 ft11NoNoNoNo4Pro & Farm863,333$0$0$No863,333$863,333$863,333$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3727.95197 Lbs6 ft12.95967,342$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander RadulovCasey MittelstadtDominik Simon40122
2Peyton KrebsJoe ThorntonJJ Peterka30122
3James NealSam LaffertyJack Quinn20122
4Alexander HoltzMark JankowskiValtteri Puustinen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonTrevor van Riemsdyk40122
2Juuso RiikolaAdam Boqvist30122
3Marc-Edouard VlasicSean Day20122
4Calen AddisonVictor Soderstrom10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander RadulovCasey MittelstadtDominik Simon60122
2Peyton KrebsJoe ThorntonJJ Peterka40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Calen AddisonTrevor van Riemsdyk60122
2Juuso RiikolaAdam Boqvist40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Casey MittelstadtAlexander Radulov60122
2Joe ThorntonDominik Simon40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc-Edouard VlasicTrevor van Riemsdyk60122
2Juuso RiikolaAdam Boqvist40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Casey Mittelstadt60122Calen AddisonTrevor van Riemsdyk60122
2Alexander Radulov40122Juuso RiikolaAdam Boqvist40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Casey MittelstadtAlexander Radulov60122
2Joe ThorntonDominik Simon40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean DayTrevor van Riemsdyk60122
2Juuso RiikolaAdam Boqvist40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander RadulovCasey MittelstadtDominik SimonJuuso RiikolaTrevor van Riemsdyk
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander RadulovCasey MittelstadtDominik SimonJuuso RiikolaTrevor van Riemsdyk
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Thomas Bordeleau, Rhett Gardner, Alexander RadulovThomas Bordeleau, Rhett GardnerCasey Mittelstadt
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marc-Edouard Vlasic, Sean Day, Calen AddisonMarc-Edouard VlasicSean Day, Calen Addison
Tirs de pénalité
Casey Mittelstadt, Alexander Radulov, Joe Thornton, Dominik Simon, Peyton Krebs
Gardien
#1 : Karel Vejmelka, #2 : Brian Elliott
Lignes d’attaque personnalisées en prolongation
Casey Mittelstadt, Alexander Radulov, Joe Thornton, Dominik Simon, Peyton Krebs, Sam Lafferty, Sam Lafferty, Mark Jankowski, JJ Peterka, James Neal, Thomas Bordeleau
Lignes de défense personnalisées en prolongation
Sean Day, Trevor van Riemsdyk, Juuso Riikola, Adam Boqvist, Marc-Edouard Vlasic


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
1Manitoba Moose514000001115-43120000078-12020000047-320.200111728207171201971501551570189568885120.00%4175.00%018033553.73%16928359.72%10218754.55%28317723296206107
2San Jose Barracuda7430000025196422000001512332100000107380.57125426700717120265150155157023397131559222.22%4250.00%018033553.73%16928359.72%10218754.55%28317723296206107
Total1257000003634273400000222025230000014140100.4173659952071712046215015515704221532124314321.43%8362.50%018033553.73%16928359.72%10218754.55%28317723296206107
_Since Last GM Reset1257000003634273400000222025230000014140100.4173659952071712046215015515704221532124314321.43%8362.50%018033553.73%16928359.72%10218754.55%28317723296206107
_Vs Conference1257000003634273400000222025230000014140100.4173659952071712046215015515704221532124314321.43%8362.50%018033553.73%16928359.72%10218754.55%28317723296206107

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1210L33659954624221532124320
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
125700003634
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73400002220
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300001414
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
14321.43%8362.50%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
1501551570717120
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
18033553.73%16928359.72%10218754.55%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
28317723296206107


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
1 - 2023-03-042San Jose Barracuda2Wilkes-Barre/Scranton Penguins5BWSommaire du match
2 - 2023-03-0510San Jose Barracuda5Wilkes-Barre/Scranton Penguins4BLSommaire du match
3 - 2023-03-0618Wilkes-Barre/Scranton Penguins5San Jose Barracuda2AWSommaire du match
4 - 2023-03-0726Wilkes-Barre/Scranton Penguins3San Jose Barracuda2AWSommaire du match
5 - 2023-03-0834San Jose Barracuda3Wilkes-Barre/Scranton Penguins2BLXSommaire du match
6 - 2023-03-0942Wilkes-Barre/Scranton Penguins2San Jose Barracuda3ALXSommaire du match
7 - 2023-03-1050San Jose Barracuda2Wilkes-Barre/Scranton Penguins4BWSommaire du match
8 - 2023-03-1158Manitoba Moose3Wilkes-Barre/Scranton Penguins1BLSommaire du match
9 - 2023-03-1262Manitoba Moose1Wilkes-Barre/Scranton Penguins4BWSommaire du match
10 - 2023-03-1366Wilkes-Barre/Scranton Penguins2Manitoba Moose3ALSommaire du match
11 - 2023-03-1470Wilkes-Barre/Scranton Penguins2Manitoba Moose4ALSommaire du match
12 - 2023-03-1574Manitoba Moose4Wilkes-Barre/Scranton Penguins2BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2810
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,579,166$ 3,569,166$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Wilkes-Barre/Scranton Penguins Leaders statistiques des joueurs (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

Wilkes-Barre/Scranton Penguins 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

Wilkes-Barre/Scranton Penguins 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

Wilkes-Barre/Scranton Penguins Leaders statistiques des joueurs (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

Wilkes-Barre/Scranton Penguins 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