Jessada BrownC FCL Marlins
Age 23 R/R 5'11" / 200 lbs ROK HR -4%BB +3% Svc 0.0 · Ctrl thru 2037 peak 1.0 · 2030
wRC+†55
AVG/OBP/SLG.200 / .265 / .298
PA119
HR2
K%32
BB%7
MLB%0%
BAT: -6.0 runs (wOBA-derived runs vs avg)-6BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.1 runs (Positional adjustment)+2POSREP: +3.4 runs (Replacement-level credit)+3REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
1.0peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2032
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Ext / FA-deal$0.9M+0.8$4M+$3M
2033Ext / FA-deal$1.0M+0.6$3M+$2M
2034Ext / FA-deal$1.0M+0.4$2M+$1M
2035Ext / FA-deal$3M+0.1$0.5M-$2M
2036Ext / FA-deal$0.4M
2037Ext / FA-deal$0.6M
Totals $7M $5M -$1M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
202522 ROK2 teams 121106 13102 8584 71 .123.212.189.401 .066.224 487 .173 -10 -15 +1 +0 +2 +3 -0.9
▸ 2026 Season
202623 MLBMIA 119109 22412 8381 20 .202.263.312.575 .110.290 327 .257 55 -6 +0 +0 +2 +3 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%MIA 198179 38714 15612 31 .212.281.330.610 .117.292 318 .273 67 -7 +0 +0 +4 +6 0.2
202825 MLB 25%MIA 289262 571027 22873 51 .218.286.351.637 .134.293 308 .283 75 -8 +1 +0 +5 +8 0.6
202926 MLB 42%MIA 351316 701229 281044 51 .222.293.358.651 .136.295 308 .290 80 -8 +1 +0 +6 +10 0.9
203027 MLB 58%MIA 383345 7613210 311134 61 .220.292.357.649 .136.295 308 .290 80 -8 +1 +0 +7 +11 1.0
203128 MLB 68%MIA 401361 8014310 331194 51 .222.294.360.654 .139.294 308 .289 80 -9 +1 -1 +7 +11 0.9
203229 MLB 77%MIA 405365 7914210 331224 51 .216.289.348.637 .132.293 308 .287 78 -10 +1 -1 +7 +11 0.8
203330 MLB 84%MIA 405365 7813210 331234 40 .214.286.342.629 .129.292 308 .284 76 -11 +1 -2 +7 +11 0.6
203431 MLB 91%MIA 383344 731329 321184 20 .212.287.340.627 .128.290 318 .280 73 -12 +0 -3 +7 +11 0.4
203532 MLBMIA 357321 671128 291124 00 .209.282.330.613 .121.289 318 .276 69 -12 +0 -4 +6 +10 0.1
203633 MLBMIA 320288 601027 261023 00 .208.281.330.611 .122.287 328 .270 65 -13 +0 -4 +6 +9 -0.2
203734 MLBMIA 273246 49825 22903 00 .199.273.309.582 .110.286 338 .264 60 -12 +0 -5 +5 +8 -0.5
▸ Career Totals (MLE all levels + projections)
Career 40053607 7621302393 320124744 447 .211.284.337.621 .126.292 318 .278 71 -133 +6 -20 +72 +113 4.0
/ 162G 650585 12421415 522027 71 .212.284.338.623 .126.293 318 .278 71 -22 +1 -3 +12 +18 0.6

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
202522 AJupiter Hammerheads 3732 5101 2141 20 .156.229.281.510 .125.211 385 .222 28 -3 +0 +1 -0.2
202522 ROKFCL Marlins 8469 12001 11263 51 .174.313.217.531 .043.256 3113 .261 58 -4 +1 +2 -0.1

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

Scouting At Match Age Next 3 Yrs Peak 3 Yrs
Comp Age HIT PWR SPD EYE AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR
Jessada Brown (OGILVIE) 23 .200/.265/.298 .098.290 22 32% 7% 55 -0.3
Adrian Del Castillo
2023 · A
23 36→45 43→55 52→40 41 .184/.246/.294 .110.257 107 32% 7% 46 -2.0 .210/.280/.351 .141.289 154 31% 8% 76 +0.0 .218/.292/.382.164.29319131%9%86+0.5
Juan Uriarte
2021 · A
23 38 41→45 48→30 32 .190/.229/.285 .095.284 96 36% 4% 36 -2.7 .195/.244/.278 .083.290 66 33% 4% 40 -2.4 .151/.199/.200.049.2340033%2%-2-1.2
Blaze Alexander
2022 · A
23 38→48 42→50 52→50 39 .185/.256/.288 .103.292 1114 38% 7% 49 -1.8 .218/.290/.354 .136.331 1511 36% 7% 81 +0.4 .220/.308/.345.126.328131034%8%84+0.4
Jake Rogers
2018 · A
23 41→40 44→55 47→45 42 .205/.269/.327 .122.280 1110 30% 7% 65 -0.7 .196/.267/.342 .146.271 177 33% 8% 69 -0.4 .206/.283/.412.206.26529133%8%91+0.6
Marcos Castañon
2022 · A
23 40→49 42→50 49→40 35 .195/.249/.300 .105.304 96 37% 5% 49 -1.8 .213/.290/.368 .155.286 192 31% 8% 85 +0.7 .208/.282/.358.150.27119130%8%76+0.1
Corey Joyce
2022 · AA
23 41 39→45 53→50 39 .193/.262/.274 .080.300 713 36% 7% 48 -1.9 .208/.307/.328 .120.294 1212 31% 10% 82 +0.5 .212/.315/.318.105.30191429%10%80+0.2
Blake Hunt
2022 · AA
23 36 43→50 49→40 40 .184/.244/.291 .107.270 104 35% 7% 44 -2.1 .200/.256/.326 .126.277 134 32% 6% 59 -1.1 .206/.268/.347.141.26215227%6%67-0.3
Steven Baron
2014 · A
23 36 40→45 52→50 36 .183/.218/.281 .098.255 79 31% 4% 30 -3.1 .212/.258/.297 .085.293 59 28% 6% 50 -1.7 .233/.289/.308.075.3134825%7%63-0.4
Randy Florentino
2023 · A
23 36 41→50 47→45 40 .183/.244/.273 .090.273 97 35% 7% 40 -2.4 .196/.244/.284 .088.259 96 27% 6% 42 -2.3 .184/.224/.260.076.2317423%4%25-1.0
David Sheaffer
2019 · A
24 37 42→55 52→40 39 .188/.235/.290 .102.252 107 29% 5% 40 -2.4 .209/.253/.332 .123.291 135 32% 5% 59 -1.1 .191/.236/.303.112.26912133%5%42-0.7
Carson Blair
2013 · A
23 35 43→50 43→30 38 .178/.239/.287 .110.282 106 39% 7% 41 -2.3 .197/.269/.330 .133.320 124 39% 8% 66 -0.6 .192/.271/.336.144.31514140%9%65-0.3
Kevin Padlo
2019 · A
23 36→40 44→55 45→50 45 .183/.265/.303 .120.269 117 35% 9% 57 -1.2 .201/.280/.365 .164.291 199 35% 9% 80 +0.4 .191/.263/.361.170.260211235%8%69-0.3
Dylan Neuse
2023 · A
24 37 39→40 49→50 44 .183/.260/.264 .081.271 814 33% 9% 45 -2.1 .205/.286/.296 .091.292 713 29% 9% 63 -0.8 .211/.301/.305.094.29351327%10%72-0.1
Tucker Mitchell
2023 · A
22 38 43→50 51→45 35 .183/.259/.287 .104.311 1111 42% 6% 51 -1.7 .198/.263/.310 .112.287 137 34% 6% 58 -1.2 .185/.242/.280.095.26113533%5%38-1.0
Raul Beracierta
2022 · A
23 42 44→50 50 38 .206/.263/.332 .126.313 118 36% 6% 63 -0.9 .226/.273/.356 .130.336 155 35% 5% 73 -0.1 .235/.278/.368.133.34318136%4%73-0.1
Chase Strumpf
2021 · A
23 44→35 42→50 49→45 42 .208/.284/.314 .106.302 87 32% 7% 68 -0.5 .197/.289/.340 .143.309 155 38% 9% 77 +0.1 .182/.286/.344.162.28620440%10%74-0.1
Nick Quintana
2021 · A
23 39→40 39→45 49→45 37 .187/.241/.273 .085.291 69 36% 6% 37 -2.6 .183/.266/.292 .109.257 115 31% 9% 55 -1.4 .165/.258/.271.106.22711331%10%44-1.1
Aaron McKeithan
2022 · A
22 41 39→40 49→40 40 .198/.263/.282 .084.277 67 29% 6% 50 -1.7 .218/.296/.304 .086.283 84 24% 7% 70 -0.3 .219/.302/.289.070.2807122%7%69-0.2
Andy Paz
2016 · A
23 39 37→40 48→45 43 .187/.248/.258 .071.267 55 31% 8% 37 -2.6 .224/.274/.290 .066.298 47 24% 7% 55 -1.4 .235/.280/.283.048.3033722%6%52-0.5
Willie MacIver
2021 · A
24 37→35 43→45 49→55 37 .190/.236/.299 .109.254 119 30% 4% 43 -2.2 .194/.260/.318 .124.282 1415 35% 7% 59 -1.1 .230/.309/.359.129.323131830%8%87+0.4