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Maryland Timbers
GP: 5 | W: 1 | L: 4
GF: 12 | GA: 17 | PP%: 11.11% | PK%: 73.33%
DG: Noah Fortin | Morale : 90 | Moyenne d’équipe : N/A
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Centre de jeu
Maryland Timbers
1-4-0, 2pts
2
FINAL
3 San Diego Dragons
8-3-0, 16pts
Team Stats
L4SéquenceOTW1
1-2-0Fiche domicile4-1-0
0-2-0Fiche domicile4-2-0
1-4-0Derniers 10 matchs8-2-0
2.40Buts par match 2.91
3.40Buts contre par match 2.18
11.11%Pourcentage en avantage numérique15.15%
73.33%Pourcentage en désavantage numérique90.91%
San Diego Dragons
8-3-0, 16pts
5
FINAL
1 Maryland Timbers
1-4-0, 2pts
Team Stats
OTW1SéquenceL4
4-1-0Fiche domicile1-2-0
4-2-0Fiche domicile0-2-0
8-2-0Derniers 10 matchs1-4-0
2.91Buts par match 2.40
2.18Buts contre par match 3.40
15.15%Pourcentage en avantage numérique11.11%
90.91%Pourcentage en désavantage numérique73.33%
Meneurs d'équipe
Dominik ShineButs
Dominik Shine
3
Nikita AlexandrovPasses
Nikita Alexandrov
4
Nikita AlexandrovPoints
Nikita Alexandrov
4
Bradley MarekPlus/Moins
Bradley Marek
4
Victoires
Cameron Johnson
1
Pourcentage d’arrêts
Cameron Johnson
0.884

Statistiques d’équipe
Buts pour
12
2.40 GFG
Tirs pour
121
24.20 Avg
Pourcentage en avantage numérique
11.1%
1 GF
Début de zone offensive
39.1%
Buts contre
17
3.40 GAA
Tirs contre
139
27.80 Avg
Pourcentage en désavantage numérique
73.3%%
4 GA
Début de la zone défensive
40.9%
Informations de l'équipe

Directeur généralNoah Fortin
EntraîneurD.J. Smith
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure27
Limite contact 56 / 70
Espoirs22


Historique d'équipe

Saison actuelle1-4
Historique239-198-38 (0.490%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)1-4
Coupe Stanley0


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
1Nikita Alexandrov (R)59XXX100.0068568476708084707471707369727209000251775,000$
2Tristen Nielsen (R)25XXX100.0074628374727879737269697271696909000262775,000$
3Sheldon Rempal61X100.0067359571707776676668686862716809000301775,000$
4Pavel Novak (R)80XXX100.0066568376718080686770707070686809000231775,000$
5Brandon Coe (R)21XXX100.0073398774757879737370707373717109000241775,000$
6David Gustafsson65XXX100.0074359180778080737872728270727209000251835,000$
7Dominik Shine50X100.0070578378738080727071707572747305000323775,000$
8James Hamblin57XXX100.0071359373738489726671717568727209000261775,000$
9Joseph LaBate41XXX100.0082715758917984586158586358756809000321775,000$
10Jaroslav Chmelar (R)17XXX100.0073608078768080746670717366727209000222867,500$
11Atley Calvert (R)92XXX100.0073608276737878717068687166686809000221775,000$
12Bradley Marek (R)29XXX100.0068608277728080686669697266696909000251790,000$
13Calen Addison60X100.0063359475708377763074637662717209000251775,000$
14Connor Mackey83X100.0073598276749090715072697970727109000291775,000$
15Noah Juulsen47X100.0075359578778080703070668349737309000281900,000$
16Billy Sweezey13X100.0073598474817879683070667745727209000302775,000$
17Marc Del Gaizo7X100.0074608276778080725072698360727209000261775,000$
18David Gucciardi (R)72X100.0073588377778080655067637260707005000232855,000$
Rayé
1Adam Ruzicka85XXX100.00525966668776816673666672636666090002600$
2Evan Barratt77XXX100.0066487870728378647166666666686809000271775,000$
3Sammy Walker (R)19XXX100.00695685766680777070717170707070090002600$
4Ryan Francis (R)11XXX100.00725682766778786868686868686868090002400$
5Dominic James (R)16XXX0.0071568282698080717270707366707005000232910,000$
6David Farrance2X100.00705685797090907350676377647070090002600$
7Axel Andersson81X100.00663593707177786230676372526868090002600$
8Aidan Fulp (R)82X100.00735682737378796650676375606868090002600$
9Benjamin Zloty (R)73X100.0072568273737878675067637050686809000241775,000$
MOYENNE D’ÉQUIPE96.307052847574808169596967736470700860
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
1Cameron Johnson40100.007885858183838383838383727209000311775,000$
2Adam Carlson50100.007385858373737373737373737309000321775,000$
Rayé
MOYENNE D’ÉQUIPE100.00768585827878787878787873730900
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
D.J. Smith88808281656082CAN4722,500,000$


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
1Nikita AlexandrovMaryland Timbers (BAL)C/LW/RW50443006115290%09118.3800008000070054.55%8800000.8700000000
2Pavel NovakMaryland Timbers (BAL)C/LW/RW513430001254420.00%16312.6100001000000054.24%5900001.2700000100
3Billy SweezeyMaryland Timbers (BAL)D52241206331366.67%410220.4201117000011000%000000.7800000000
4Dominik ShineMaryland Timbers (BAL)RW531432064172817.65%08316.7500028000000060.00%500000.9600000000
5Atley CalvertMaryland Timbers (BAL)C/LW/RW531432032110327.27%06312.60000110000000100.00%500001.2700000011
6Tristen NielsenMaryland Timbers (BAL)C/LW/RW5123340128102510.00%08416.8900018000001070.00%1000000.7100000100
7Bradley MarekMaryland Timbers (BAL)C/LW/RW503340015120100%26412.9100000000040060.00%500000.9300000000
8Calen AddisonMaryland Timbers (BAL)D5022-320262100%47615.380000000000000%000000.5200000000
9Connor MackeyMaryland Timbers (BAL)D5011040643110%212024.0900008000012000%000000.1700000000
10Noah JuulsenMaryland Timbers (BAL)D5011000563220%512024.1100028000012000%000000.1700000000
11Brandon CoeMaryland Timbers (BAL)C/LW/RW5011-42081211370%210020.1701126000050037.50%800000.2000000000
12David GustafssonMaryland Timbers (BAL)C/LW/RW5011-40041215380%011122.24000260000160050.34%14900000.1800000000
13Marc Del GaizoMaryland Timbers (BAL)D51011008742125.00%710120.2710127000010000%000000.2000000000
14James HamblinMaryland Timbers (BAL)C/LW/RW5101-4203454520.00%011122.23000060001150075.00%800000.1800000000
15Sheldon RempalMaryland Timbers (BAL)LW5000-400137130%0326.5100000000000066.67%30000000000000
16Joseph LaBateMaryland Timbers (BAL)C/LW/RW5000-440502000%0336.6400000000000050.00%40000000000000
17Jaroslav ChmelarMaryland Timbers (BAL)C/LW/RW5000-400125040%0326.5100000000000047.62%420000000000000
18David GucciardiMaryland Timbers (BAL)D5000-3401311010%87815.700000000002000%00000000000000
Statistiques d’équipe totales ou en moyenne90122234-92809010212128749.92%35147216.36123138200011011053.37%38600000.4600000211
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
1Cameron JohnsonMaryland Timbers (BAL)51400.8843.2229840161380010050001
Statistiques d’équipe totales ou en moyenne51400.8843.222984016138001050001


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam CarlsonMaryland Timbers (BAL)G321994-02-13USANo196 Lbs6 ft3NoNoFree AgentNoNo12025-09-13FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Adam RuzickaMaryland Timbers (BAL)C/LW/RW261999-05-11SVKNo202 Lbs6 ft4NoNoN/ANoNo02024-07-19FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Aidan FulpMaryland Timbers (BAL)D262000-02-29USAYes192 Lbs6 ft2NoNoTrade2024-09-20NoNo0FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Atley CalvertMaryland Timbers (BAL)C/LW/RW222003-09-17CANYes194 Lbs6 ft1NoNoTrade2025-05-23NoNo12025-09-13FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Axel AnderssonMaryland Timbers (BAL)D262000-02-10SWENo178 Lbs6 ft0NoNoFree AgentNoNo02024-09-18FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Benjamin ZlotyMaryland Timbers (BAL)D242002-02-24CANYes187 Lbs6 ft0NoNoProspectNoNo12025-09-13FalseFalsePro & Farm775,000$0$0$No---------------------------
Billy SweezeyMaryland Timbers (BAL)D301996-02-06USANo205 Lbs6 ft2NoNoTrade2025-05-23NoNo22026-04-23FalseFalsePro & Farm775,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Bradley MarekMaryland Timbers (BAL)C/LW/RW252000-11-13USAYes212 Lbs6 ft3NoNoProspectNoNo12025-08-04FalseFalsePro & Farm790,000$0$0$No---------------------------Lien NHL
Brandon CoeMaryland Timbers (BAL)C/LW/RW242001-12-01CANYes188 Lbs6 ft4NoNoTrade2025-05-23NoNo12025-09-13FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Calen AddisonMaryland Timbers (BAL)D252000-04-11CANNo180 Lbs5 ft11NoNoTrade2024-10-10NoNo12025-07-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Cameron JohnsonMaryland Timbers (BAL)G311994-07-11USANo205 Lbs6 ft1NoNoFree AgentNoNo12026-01-02FalseFalsePro & Farm775,000$0$0$No---------------------------
Connor MackeyMaryland Timbers (BAL)D291996-09-12USANo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
David FarranceMaryland Timbers (BAL)D261999-06-23USANo189 Lbs5 ft11NoNoTrade2024-09-18NoNo02024-09-18FalseFalsePro & Farm0$0$No---------------------------Lien NHL
David GucciardiMaryland Timbers (BAL)D232002-10-09CANYes201 Lbs6 ft1NoNoProspectNoNo22025-09-28FalseFalsePro & Farm855,000$0$0$No855,000$--------855,000$--------No--------
David GustafssonMaryland Timbers (BAL)C/LW/RW252000-04-11SWENo196 Lbs6 ft2NoNoN/ANoNo12024-07-07FalseFalsePro & Farm835,000$0$0$No---------------------------Lien / Lien NHL
Dominic James (sur la masse salariale)Maryland Timbers (BAL)C/LW/RW232002-07-03USAYes190 Lbs6 ft0NoNoProspectNoNo22025-09-28FalseFalsePro & Farm910,000$0$0$No910,000$--------910,000$--------No--------Lien NHL
Dominik ShineMaryland Timbers (BAL)RW321993-04-18USANo175 Lbs5 ft11NoNoFree AgentNoNo32026-01-12FalseFalsePro & Farm775,000$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------Lien / Lien NHL
Evan BarrattMaryland Timbers (BAL)C/LW/RW271999-02-18USANo188 Lbs6 ft0NoNoTrade2024-09-18NoNo12025-09-13FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
James HamblinMaryland Timbers (BAL)C/LW/RW261999-04-27CANNo176 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Jaroslav ChmelarMaryland Timbers (BAL)C/LW/RW222003-07-20CZEYes220 Lbs6 ft5NoNoProspectNoNo22024-07-19FalseFalsePro & Farm867,500$0$0$No867,500$--------867,500$--------No--------Lien NHL
Joseph LaBateMaryland Timbers (BAL)C/LW/RW321993-04-16USANo210 Lbs6 ft5NoNoFree AgentNoNo12025-07-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Marc Del GaizoMaryland Timbers (BAL)D261999-10-11USANo190 Lbs5 ft10NoNoTrade2024-09-20NoNo12025-07-02FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Nikita AlexandrovMaryland Timbers (BAL)C/LW/RW252000-09-16GERYes190 Lbs6 ft0NoNoTrade2024-07-19NoNo12025-07-27FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Noah JuulsenMaryland Timbers (BAL)D281997-04-02CANNo201 Lbs6 ft2NoNoTrade2024-12-01NoNo12025-07-01FalseFalsePro & Farm900,000$0$0$No---------------------------Lien / Lien NHL
Pavel NovakMaryland Timbers (BAL)C/LW/RW232002-04-16CZEYes170 Lbs5 ft9NoNoTrade2024-09-20NoNo12025-09-13FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Ryan FrancisMaryland Timbers (BAL)C/LW/RW242001-12-02CANYes170 Lbs5 ft9NoNoTrade2024-09-18NoNo02024-09-18FalseFalsePro & Farm0$0$No---------------------------
Sammy WalkerMaryland Timbers (BAL)C/LW/RW261999-06-07USAYes160 Lbs5 ft9NoNoTrade2024-11-21NoNo02024-07-12FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Sheldon RempalMaryland Timbers (BAL)LW301995-08-07CANNo165 Lbs5 ft10NoNoFree AgentNoNo12025-07-08FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Tristen NielsenMaryland Timbers (BAL)C/LW/RW262000-02-23CANYes181 Lbs5 ft10NoNoTrade2025-05-23NoNo22025-10-29FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2926.34189 Lbs6 ft11.03632,155$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James HamblinDavid GustafssonBrandon Coe40122
2Tristen NielsenNikita AlexandrovDominik Shine30122
3Atley CalvertPavel NovakBradley Marek20122
4Sheldon RempalJaroslav ChmelarJoseph LaBate10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MackeyNoah Juulsen40122
2Marc Del GaizoBilly Sweezey30122
3Calen AddisonDavid Gucciardi20122
4Connor MackeyNoah Juulsen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1James HamblinDavid GustafssonBrandon Coe60122
2Tristen NielsenNikita AlexandrovDominik Shine40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MackeyNoah Juulsen60122
2Marc Del GaizoBilly Sweezey40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1David GustafssonJames Hamblin60122
2Brandon CoeNikita Alexandrov40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MackeyNoah Juulsen60122
2Marc Del GaizoBilly Sweezey40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1David Gustafsson60122Connor MackeyNoah Juulsen60122
2James Hamblin40122Marc Del GaizoBilly Sweezey40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1David GustafssonJames Hamblin60122
2Brandon CoeNikita Alexandrov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor MackeyNoah Juulsen60122
2Marc Del GaizoBilly Sweezey40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
James HamblinDavid GustafssonBrandon CoeConnor MackeyNoah Juulsen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
James HamblinDavid GustafssonBrandon CoeConnor MackeyNoah Juulsen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Pavel Novak, Atley Calvert, Bradley MarekPavel Novak, Atley CalvertBradley Marek
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Calen Addison, David Gucciardi, Marc Del GaizoCalen AddisonDavid Gucciardi, Marc Del Gaizo
Tirs de pénalité
David Gustafsson, James Hamblin, Brandon Coe, Nikita Alexandrov, Dominik Shine
Gardien
#1 : Cameron Johnson, #2 : Adam Carlson
Lignes d’attaque personnalisées en prolongation
David Gustafsson, James Hamblin, Brandon Coe, Nikita Alexandrov, Dominik Shine, Tristen Nielsen, Tristen Nielsen, Pavel Novak, Atley Calvert, Bradley Marek, Sheldon Rempal
Lignes de défense personnalisées en prolongation
Connor Mackey, Noah Juulsen, Marc Del Gaizo, Billy Sweezey, Calen Addison


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
1San Diego Dragons514000001217-531200000811-32020000046-220.20012223410435012142354401393532909111.11%15473.33%08115153.64%8515853.80%407751.95%11477120376532
Total514000001217-531200000811-32020000046-220.20012223410435012142354401393532909111.11%15473.33%08115153.64%8515853.80%407751.95%11477120376532
_Since Last GM Reset514000001217-531200000811-32020000046-220.20012223410435012142354401393532909111.11%15473.33%08115153.64%8515853.80%407751.95%11477120376532
_Vs Conference514000001217-531200000811-32020000046-220.20012223410435012142354401393532909111.11%15473.33%08115153.64%8515853.80%407751.95%11477120376532

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L412223412113935329010
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001217
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3120000811
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000046
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
9111.11%15473.33%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
42354404350
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
8115153.64%8515853.80%407751.95%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11477120376532


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
14San Diego Dragons1Maryland Timbers4WSommaire du match
312San Diego Dragons5Maryland Timbers3LSommaire du match
520Maryland Timbers2San Diego Dragons3LSommaire du match
728Maryland Timbers2San Diego Dragons3LSommaire du match
936San Diego Dragons5Maryland Timbers1LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
80 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,742,250$ 1,742,250$ 2,500,000$0$
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$ 1 0$ 0$




Maryland Timbers 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
1Nikita Alexandrov82822130752841308691298190911.58%1391665820.1229951242574153237850.91%40.63840
2James Hamblin776220277497-231206951084198211.10%2001767922.783850882711014123947.16%40.561252
3David Gustafsson575236258494-25788011685181313.02%1421285722.3640701102984041652853.17%40.771248
4Dominik Shine80021625847414152688727152514.16%621253815.6748971452410112322846.55%00.76416
5Connor Mackey66496344440-112500123669682411.65%6721598524.076064124360044122080%00.5508

Maryland Timbers 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
1Cameron Johnson376208132360.8902.702252324281012918808200.69692
2Hugo Ollas288136116360.8852.841734604820712808120.655116
3Filip Larsson1566480120.8922.99943469470436503100
4Ales Stezka93410.8992.99502202524700100
5Adam Carlson160001.000034500014800000

Maryland Timbers 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
202416461741361000449497-4882313654600230242-1282303882400219255-3615744981312622917813712864100135813211347744614137075132283777018.57%3365184.82%62413486449.61%2529523548.31%1223250248.88%380726394023119521151041
202516675620794952147546833830045332812384383373203416240237319052192714488817017216819431313871431143810941241182818310241910224.34%3617678.95%22517498850.46%2475488250.70%1353260451.96%404928333858118621551090
202516675620794952147546833830045332812384383373203416240237319052192714488817017216819431313871431143810941241182818310241910224.34%3617678.95%22517498850.46%2475488250.70%1353260451.96%404928333858118621551090
Total Saison régulière4962111981320288181491144744248107965121666792718742481041028812212699729-305371491266741581825518481464441272641324183422329212862373423879432121527422.55%105820380.81%1074471484050.18%74791499949.86%3929771050.96%11907830611740356864273221
Séries éliminatoires
2025514000001217-531200000811-32020000046-2212223410435012142354401393532909111.11%15473.33%08115153.64%8515853.80%407751.95%11477120376532
Total Séries éliminatoires514000001217-531200000811-32020000046-2212223410435012142354401393532909111.11%15473.33%08115153.64%8515853.80%407751.95%11477120376532

Maryland Timbers 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
1Billy Sweezey52241263366.67%410220.4201110000000%00.7800
2Dominik Shine531432641717.65%08316.75000200000060.00%00.9600
3Nikita Alexandrov50443061150%09118.38000000000054.55%00.8700
4Pavel Novak513430012520.00%16312.61000000000054.24%01.2700
5Atley Calvert531432321127.27%06312.600001000000100.00%01.2700

Maryland Timbers 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
1Cameron Johnson51400.8843.22298401613800100