Jean Santana3B DSL Rays
Age 19 R/R 5'11" / 180 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 2.8 · 2034
wRC+†58
AVG/OBP/SLG.203 / .270 / .298
PA69
HR1
K%30
BB%7
MLB%0%
BAT: -3.3 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.2 runs (Positional adjustment)+0POSREP: +2.0 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.8peak
2034

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+2.5$24M+$23M
2033Ext / FA-deal$1.0M+2.7$27M+$26M
2034Ext / FA-deal$1.0M+2.8$28M+$27M
2035Ext / FA-deal$5M+2.6$27M+$22M
2036Ext / FA-deal$8M+2.4$26M+$18M
2037Ext / FA-deal$10M+2.1$23M+$13M
Totals $27M $155M +$128M

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
202417 ROKDSL Rays 138118 14210 15473 53 .119.235.153.388 .034.197 3411 .186 1 -16 -0 +0 +0 +4 -1.2
▸ 2026 Season
202619 MLBTB 6963 12201 5211 10 .190.261.270.531 .079.289 307 .261 58 -3 +0 +0 +0 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%TB 122110 25413 10351 21 .227.298.364.661 .136.297 298 .289 79 -3 +0 +0 +0 +3 0.1
202821 MLB 28%TB 273243 561027 25753 61 .230.310.374.684 .144.298 279 .305 92 -2 +1 +0 +1 +8 0.7
202922 MLB 48%TB 388343 8114311 371035 92 .236.319.391.710 .155.299 2710 .315 99 -0 +1 +0 +1 +11 1.3
203023 MLB 65%TB 465410 9817314 461216 112 .239.325.398.722 .159.299 2610 .321 104 +2 +1 +0 +2 +13 1.9
203124 MLB 82%TB 517454 10818316 521326 133 .238.324.396.721 .159.299 2610 .325 107 +4 +1 +0 +2 +15 2.2
203225 MLBTB 548480 11720418 561407 133 .244.331.415.746 .171.300 2610 .328 109 +6 +1 +0 +2 +16 2.5
203326 MLBTB 566495 11920418 591447 143 .240.330.406.736 .166.301 2510 .330 111 +7 +2 +0 +2 +16 2.7
203427 MLBTB 572500 12120419 601467 142 .242.332.412.744 .170.301 2610 .330 111 +7 +2 +0 +2 +16 2.8
203528 MLBTB 572499 12020418 611477 132 .240.332.405.736 .164.300 2611 .329 110 +6 +2 -1 +2 +16 2.6
203629 MLBTB 564492 11820418 601477 112 .240.331.407.737 .167.300 2611 .327 108 +5 +1 -1 +2 +16 2.4
203730 MLBTB 556484 11419317 601477 101 .236.328.393.721 .157.298 2611 .324 106 +4 +2 -2 +2 +16 2.1
203831 MLBTB 543474 10918316 581456 70 .230.322.382.703 .152.297 2711 .320 103 +2 +1 -3 +2 +15 1.8
203932 MLBTB 525458 10417315 561436 50 .227.319.376.695 .148.295 2711 .315 99 -0 +1 -4 +2 +15 1.4
204033 MLBTB 496434 9816314 531396 30 .226.318.373.692 .147.294 2811 .310 95 -3 +1 -4 +2 +14 1.0
204134 MLBTB 449394 8714312 471295 10 .221.312.363.675 .142.292 2910 .303 90 -5 +0 -5 +2 +13 0.5
204235 MLBTB 395347 7412210 411184 00 .213.304.346.649 .133.290 3010 .295 84 -7 +0 -6 +1 +11 -0.0
204336 MLBTB 335293 621028 351044 00 .212.304.341.646 .130.287 3110 .287 77 -9 +0 -6 +1 +9 -0.4
▸ Career Totals (MLE all levels + projections)
Career 80937091 163727352235 836218398 13825 .231.320.383.704 .153.297 2710 .315 99 -5 +18 -31 +29 +229 24.4
/ 162G 650570 13222419 671758 112 .232.321.384.705 .153.298 2710 .315 99 -0 +1 -3 +2 +18 2.0

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
202417 ROKDSL Rays 138109 17310 24333 53 .156.324.202.525 .046.224 2417 .262 59 -6 -0 +4 -0.3

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
Jean Santana (OGILVIE) 19 .203/.270/.298 .095.289 11 30% 7% 58 -0.1
Renato Núñez
2013 · A
19 44→51 43→60 48→30 38 .215/.262/.330 .115.285 95 27% 4% 61 -1.0 .213/.253/.351 .138.277 173 29% 4% 64 -0.8 .238/.308/.452.215.27831126%7%111+1.7
Davis Schneider
2018 · A
19 40→44 41→55 48→50 50 .198/.276/.300 .102.259 86 26% 9% 60 -1.0 .193/.268/.290 .097.299 87 35% 8% 54 -1.4 .213/.322/.409.196.27524930%12%106+1.6
Tim Beckham
2009 · A
19 42→52 38→55 49→50 38 .202/.248/.282 .080.290 57 31% 5% 43 -2.2 .219/.267/.307 .088.310 510 29% 5% 57 -1.2 .248/.301/.421.173.31922428%6%100+1.3
Heliot Ramos
2019 · A
19 41→51 43→55 47→50 33 .202/.246/.317 .115.301 118 36% 4% 52 -1.6 .215/.268/.348 .133.317 159 35% 6% 69 -0.4 .256/.322/.432.177.31922826%7%112+2.4
Lane Thomas
2015 · A
19 45→51 37→55 51→55 43 .210/.271/.289 .080.308 39 31% 8% 54 -1.4 .192/.258/.279 .087.311 612 37% 8% 47 -1.9 .248/.312/.427.179.308211325%7%107+2.0
Amed Rosario
2015 · A
19 39→49 40→50 43→55 36 .196/.231/.287 .092.270 75 30% 4% 37 -2.7 .236/.274/.327 .091.314 412 25% 4% 64 -0.8 .286/.323/.422.136.344121420%5%107+1.7
Alex Liddi
2008 · A
19 41→51 41→60 47→50 36 .200/.246/.304 .104.297 87 34% 5% 48 -1.9 .229/.277/.361 .132.323 128 31% 6% 76 +0.1 .241/.296/.424.182.33620533%6%99+1.7
Eloy Jiménez
2016 · A
19 40→50 40→65 49→40 39 .197/.240/.291 .094.269 77 29% 5% 41 -2.3 .251/.286/.404 .153.321 164 26% 4% 91 +1.1 .273/.314/.492.219.31430023%5%125+2.3
Joe Benson
2007 · A
19 42→50 42→60 46→50 41 .206/.256/.312 .106.277 810 28% 6% 54 -1.4 .214/.282/.309 .095.312 613 31% 7% 65 -0.7 .231/.309/.414.183.319191532%8%101+1.4
Aaron Altherr
2010 · A
19 42→51 38→55 51→50 43 .201/.253/.279 .078.267 511 26% 6% 44 -2.1 .200/.241/.279 .079.282 616 30% 4% 38 -2.6 .244/.318/.420.176.303171424%8%104+1.5
Maikel Franco
2012 · A
19 36→46 38→55 48→40 37 .180/.226/.261 .081.253 64 30% 5% 28 -3.2 .239/.273/.382 .143.277 163 20% 4% 80 +0.4 .263/.299/.434.171.29019217%4%100+1.6
Brendan Rodgers
2016 · A
19 43→53 40→50 46→45 39 .205/.255/.298 .093.301 77 33% 6% 50 -1.8 .224/.267/.352 .128.288 145 27% 4% 69 -0.4 .253/.308/.383.131.29813019%6%93+0.8
Austin Dean
2013 · A
19 40→50 39→55 45 45 .195/.265/.280 .085.270 55 28% 8% 50 -1.7 .220/.275/.314 .094.285 76 24% 6% 63 -0.9 .257/.302/.413.156.30417421%5%96+1.1
Jackson Chourio
2022 · A
18 44→54 42→55 49→55 45 .217/.279/.319 .102.277 1010 25% 7% 66 -0.6 .233/.280/.389 .156.311 1819 30% 6% 85 +0.7 .261/.307/.430.168.314192623%6%101+1.8
Steven Souza Jr.
2008 · A
19 37→47 41→60 49→55 38 .182/.248/.279 .096.291 87 38% 7% 43 -2.2 .191/.250/.282 .091.285 814 34% 6% 44 -2.1 .258/.336/.452.194.336232529%10%124+2.2
Derek Norris
2009 · A
20 40→50 42→55 49→50 43 .194/.269/.300 .106.295 96 35% 9% 58 -1.2 .209/.301/.372 .163.281 206 31% 11% 91 +1.1 .254/.332/.403.149.31115522%10%106+1.6
Ronarsy Ledesma
2012 · A
19 42 42→45 47→50 43 .205/.277/.309 .104.271 98 27% 6% 64 -0.8 .224/.284/.326 .102.290 511 24% 5% 70 -0.3 .226/.280/.337.111.29161123%4%69-0.2
Vaughn Grissom
2021 · A
20 44→54 39→50 51→55 44 .214/.271/.302 .088.272 76 23% 6% 58 -1.2 .265/.329/.388 .123.318 1115 19% 7% 105 +2.1 .283/.348/.417.134.334121718%7%116+2.4
Andres Regnault
2018 · A
19 39 38→55 47→45 39 .185/.251/.256 .071.289 66 36% 7% 39 -2.5 .226/.287/.352 .126.291 137 26% 6% 79 +0.3 .248/.309/.417.169.29019621%6%103+0.7
Agustín Ramírez
2021 · A
19 40→45 41→55 46→50 40 .199/.248/.293 .095.266 85 28% 5% 46 -2.0 .208/.268/.334 .126.284 138 30% 7% 66 -0.6 .230/.293/.405.176.264221622%7%92+1.1