JoJo JacksonOF Tampa Tarpons
Age 23 S/L 6'1" / 215 lbs A HR +8%BB +8% Svc 0.0 · Ctrl thru 2036 peak 0.6 · 2030
wRC+†57
AVG/OBP/SLG.209 / .272 / .322
PA50
HR1
K%30
BB%7
MLB%0%
BAT: -2.4 runs (wOBA-derived runs vs avg)-2BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.3 runs (Positional adjustment)-0POSREP: +1.4 runs (Replacement-level credit)+1REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
0.6peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Arb-3$0.9M+0.5$2M+$1M
2032Ext / FA-deal$0.9M+0.4$2M+$1.0M
2033Ext / FA-deal$1.0M+0.2$1.0M+$0.0M
2034Ext / FA-deal$3M
2035Ext / FA-deal$0.4M
2036Ext / FA-deal$0.6M
Totals $7M $1.0M -$6M
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
202421 ATampa Tarpons 2422 3000 2100 00 .136.208.136.345 .000.250 428 .167 -14 -3 +0 +0 -0 +1 -0.3
202522 ROKFCL Yankees 1514 1000 160 10 .071.133.071.205 .000.125 407 .067 -90 -3 +0 +0 -0 +0 -0.3
▸ 2026 Season (actual · ROS · total)
202623 ATampa Tarpons 6860 14402 8200 32 .233.324.400.724 .167.316 2912 .296 85 -1 -0 +0 -0 +2 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%NYY 146131 29513 13371 31 .221.297.344.640 .122.282 259 .295 84 -3 +0 +0 -1 +4 0.1
202825 MLB 25%NYY 250224 51926 22622 52 .228.302.366.668 .138.284 259 .302 89 -3 +0 +0 -2 +7 0.3
202926 MLB 42%NYY 324289 671229 29803 72 .232.308.381.689 .149.285 259 .306 92 -3 +1 +0 -2 +9 0.5
203027 MLB 58%NYY 365326 7514210 33913 73 .230.307.377.684 .147.285 259 .307 93 -3 +0 +0 -2 +10 0.6
203128 MLB 68%NYY 388346 7915210 36973 72 .228.306.370.676 .142.285 259 .306 92 -4 +1 -1 -2 +11 0.5
203229 MLB 77%NYY 396353 8015210 371003 72 .227.305.365.671 .139.284 259 .303 90 -4 +1 -1 -2 +11 0.4
203330 MLB 84%NYY 399356 8015210 371023 62 .225.303.362.665 .138.283 269 .300 88 -5 +0 -2 -2 +11 0.2
203431 MLB 91%NYY 391349 7714210 361023 41 .221.299.358.657 .138.281 269 .297 85 -7 +0 -3 -2 +11 -0.0
203532 MLBNYY 377336 731329 351003 21 .217.297.348.645 .131.280 279 .292 82 -8 +0 -4 -2 +11 -0.3
203633 MLBNYY 350312 671228 32953 10 .215.294.343.637 .128.278 279 .286 77 -9 +0 -4 -2 +10 -0.5
203734 MLBNYY 307274 581027 28862 00 .212.289.339.629 .128.276 289 .280 72 -10 +0 -5 -2 +9 -0.8
▸ Career Totals (MLE all levels + projections)
Career 37323332 7401342192 34196829 5016 .222.300.358.658 .136.283 269 .296 85 -64 +4 -20 -22 +106 0.3
/ 162G 650580 12923416 591695 93 .222.299.359.658 .136.284 269 .296 85 -11 +1 -3 -4 +18 0.1

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
202421 ATampa Tarpons 2421 4000 370 00 .190.292.190.482 .000.286 2912 .238 40 -2 +0 +1 -0.1
202522 ROKFCL Yankees 1514 1000 140 10 .071.133.071.205 .000.100 277 .107 -60 -3 +0 +0 -0.2

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
JoJo Jackson (OGILVIE) 23 .209/.272/.322 .113.291 11 30% 7% 65 -0.1
Sean Bouchard
2019 · A
23 38→44 44→55 48→50 37 .196/.244/.314 .117.275 1213 33% 5% 50 -1.7 .201/.254/.332 .131.296 1310 35% 6% 59 -1.1 .223/.323/.415.191.292211629%11%106+1.0
Skye Bolt
2017 · A
23 41→39 40→50 47→50 42 .198/.260/.294 .095.271 79 28% 6% 52 -1.6 .200/.260/.327 .127.289 1210 33% 7% 60 -1.0 .234/.302/.369.135.310151228%8%86+0.3
Isiah Gilliam
2019 · A
23 41→46 45→55 43→55 36 .203/.251/.326 .122.301 135 36% 6% 56 -1.3 .195/.252/.320 .125.325 1412 42% 6% 55 -1.4 .217/.299/.399.182.339231940%10%92+0.7
Cooper Hummel
2018 · A
23 41→49 41→50 47→55 51 .199/.284/.298 .099.265 87 26% 10% 63 -0.8 .203/.296/.327 .124.287 135 31% 10% 77 +0.1 .217/.330/.365.148.295131928%12%98+1.1
Nicky Delmonico
2015 · A
23 39→47 48→55 46→45 43 .204/.269/.341 .137.271 168 30% 7% 69 -0.4 .226/.282/.376 .150.297 156 28% 7% 82 +0.5 .233/.301/.393.161.28418424%8%92+0.9
Jack Suwinski
2021 · A
23 38→41 44→60 48→50 41 .191/.252/.307 .116.277 125 34% 7% 52 -1.6 .211/.294/.396 .185.299 249 35% 10% 94 +1.3 .210/.307/.421.211.281281034%11%102+1.6
Chris Meyers
2022 · A
23 41→46 42→50 51→40 45 .201/.269/.304 .103.264 911 26% 7% 59 -1.1 .222/.280/.362 .140.293 167 29% 6% 79 +0.3 .226/.286/.378.152.29419329%6%82+0.3
Ryan Schimpf
2011 · A
23 39 43→60 52→45 39 .192/.257/.314 .121.284 910 34% 6% 56 -1.3 .198/.273/.355 .157.273 177 32% 8% 74 -0.1 .201/.284/.419.218.23528228%9%91+0.9
Reed Trimble
2023 · A
23 47 39→55 51→65 42 .222/.278/.304 .082.319 68 31% 7% 61 -1.0 .212/.276/.328 .116.288 1022 28% 8% 67 -0.5 .207/.275/.367.159.261173527%7%77+0.1
Zoilo Almonte
2011 · A
22 44→54 45→50 48→50 37 .218/.259/.337 .119.303 139 32% 5% 62 -0.9 .241/.285/.384 .143.322 1613 29% 6% 85 +0.7 .256/.295/.398.142.31418324%5%91+0.9
Leo Rivas
2021 · A
23 39→49 39→40 48→65 46 .188/.266/.276 .088.284 78 34% 9% 50 -1.7 .215/.292/.302 .087.300 721 28% 9% 67 -0.5 .238/.354/.331.093.32094425%14%100+1.2
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
Maxwell Leon
2007 · AA
23 40→50 42→50 49→50 39 .196/.252/.300 .103.290 106 34% 7% 50 -1.8 .249/.304/.324 .075.319 413 21% 7% 77 +0.1 .251/.322/.382.131.303131121%6%98+0.8
Henry Ramos
2014 · A
22 42→52 43→50 44→50 40 .209/.252/.318 .109.274 109 27% 5% 54 -1.4 .231/.274/.336 .105.301 87 25% 5% 67 -0.5 .251/.313/.394.142.31416724%7%96+0.9
Brian O'Grady
2015 · A
23 40→39 43→60 53→50 47 .198/.263/.312 .114.259 98 26% 8% 57 -1.2 .192/.274/.305 .113.267 1014 30% 10% 61 -1.0 .210/.274/.401.191.276231532%7%84+0.5
Brandon Boggs
2006 · A
23 42→48 48→55 48→50 50 .215/.288/.356 .141.265 1612 25% 9% 80 +0.4 .215/.291/.372 .157.281 1612 28% 9% 85 +0.7 .213/.298/.382.169.284171129%10%89+0.7
Sam Haggerty
2017 · A
23 44→43 38→50 51→65 43 .205/.272/.283 .078.301 510 32% 8% 53 -1.5 .213/.287/.315 .102.305 526 29% 9% 69 -0.4 .253/.332/.394.141.318114222%9%103+1.1
Keon Broxton
2013 · A
23 41→50 42→55 52→60 39 .199/.257/.303 .104.305 1016 36% 7% 53 -1.5 .215/.269/.344 .129.326 1317 36% 7% 68 -0.5 .225/.301/.390.165.341173836%9%92+1.0
Jerar Encarnacion
2021 · A
23 42→45 44→55 45 36 .207/.251/.317 .109.301 126 35% 5% 53 -1.5 .209/.266/.354 .145.336 197 41% 7% 70 -0.3 .223/.287/.396.173.32726638%8%87+0.6
Hutton Moyer
2016 · A
23 40→42 42→50 50 37 .197/.254/.306 .109.276 97 31% 5% 53 -1.5 .206/.255/.336 .130.302 1412 35% 5% 61 -1.0 .195/.243/.331.136.288161537%4%51-0.7