Devlyn BautistaOF DSL LAD Mega
Age 19 R/R 6'2" / 180 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 1.8 · 2033
wRC+49
AVG/OBP/SLG.194 / .259 / .282
PA70
HR1
K%34
BB%7
MLB%0%
BAT: -4.1 runs (wOBA-derived runs vs avg)-4BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.4 runs (Positional adjustment)-0POSREP: +2.0 runs (Replacement-level credit)+2REPTotal WAR: -0.20-0.2WAR
trajectory · 10 yrs
1.8peak
2033

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+1.7$16M+$15M
2033Ext / FA-deal$1.0M+1.8$18M+$17M
2034Ext / FA-deal$1.0M+1.8$18M+$17M
2035Ext / FA-deal$3M+1.7$18M+$14M
2036Ext / FA-deal$5M+1.5$16M+$11M
2037Ext / FA-deal$6M+1.2$13M+$7M
Totals $17M $99M +$82M

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
202518 ROKDSL LAD Mega 7466 2000 7591 30 .030.135.030.165 .000.286 809 .102 -64 -14 +1 +0 -0 +2 -1.2
▸ 2026 Season
202619 MLB 7064 13211 5241 10 .203.271.312.584 .109.291 347 .249 49 -4 +0 +0 -0 +2 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11% 161145 30513 13512 31 .207.281.317.598 .110.299 328 .279 71 -5 +0 +0 -1 +5 -0.1
202821 MLB 28% 302268 601028 27904 61 .224.304.366.670 .142.301 309 .297 85 -5 +1 +0 -2 +9 0.3
202922 MLB 48% 406360 8214311 381175 92 .228.310.375.685 .147.301 299 .308 94 -3 +1 +0 -2 +12 0.7
203023 MLB 65% 476421 9716314 461346 112 .230.315.382.697 .152.301 2810 .314 99 -1 +1 +0 -3 +13 1.2
203124 MLB 82% 522459 10818416 521466 122 .235.321.397.718 .161.302 2810 .318 102 +1 +2 +0 -3 +15 1.5
203225 MLB 549481 11319417 561527 132 .235.324.397.721 .162.302 2810 .322 104 +3 +2 +0 -3 +16 1.7
203326 MLB 564494 11619418 581567 132 .235.324.399.723 .164.303 2810 .323 106 +4 +2 +0 -3 +16 1.8
203427 MLB 569498 11719418 591587 132 .235.324.398.722 .163.303 2810 .323 106 +4 +2 +0 -3 +16 1.8
203528 MLB 568496 11619418 601597 122 .234.325.397.722 .163.302 2811 .322 105 +3 +2 -1 -3 +16 1.7
203629 MLB 560489 11519418 591597 111 .235.326.401.727 .166.302 2811 .320 103 +2 +2 -1 -3 +16 1.5
203730 MLB 550481 11018317 581586 101 .229.319.385.704 .156.300 2911 .317 101 +0 +2 -2 -3 +16 1.2
203831 MLB 537469 10617316 571566 70 .226.318.377.695 .151.299 2911 .313 98 -1 +1 -3 -3 +15 0.9
203932 MLB 519453 10116315 551546 40 .223.315.371.686 .148.297 3011 .308 94 -3 +1 -4 -3 +15 0.6
204033 MLB 490431 9415314 511485 20 .218.308.364.672 .146.296 3010 .303 90 -6 +0 -4 -3 +14 0.2
204134 MLB 443389 8413312 461385 10 .216.307.357.664 .141.294 3110 .296 85 -7 +0 -5 -3 +13 -0.2
▸ Career Totals (MLE all levels + projections)
Career 73606464 146423949216 747215988 13118 .226.315.379.694 .152.302 2910 .311 96 -33 +19 -20 -44 +209 13.3
/ 162G 650571 12921419 661918 122 .226.315.377.691 .151.302 2910 .311 96 -3 +2 -2 -4 +18 1.2

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
202518 ROKDSL LAD Mega 7461 9000 12381 30 .148.297.148.445 .000.391 5116 .233 37 -5 +1 +2 -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
Devlyn Bautista (OGILVIE) 19 .194/.259/.282 .088.291 11 34% 7% 49 -0.2
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
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
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
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
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
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
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
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
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
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
Moisés Sierra
2008 · A
19 37→47 41→50 49→50 37 .188/.241/.283 .095.258 910 30% 5% 41 -2.3 .219/.266/.312 .093.295 88 27% 4% 59 -1.1 .250/.316/.378.129.306141522%7%94+1.0
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
Óscar Mercado
2014 · A
19 38→48 37→55 52→60 40 .185/.243/.259 .074.266 412 30% 6% 35 -2.8 .192/.242/.259 .067.240 422 21% 5% 34 -2.8 .236/.299/.394.159.271162219%7%92+0.9
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
Jorge Bonifacio
2012 · A
19 43→50 41→55 47→45 39 .210/.259/.318 .109.297 79 31% 6% 56 -1.3 .220/.266/.321 .101.296 76 27% 5% 60 -1.0 .237/.304/.388.151.31017328%8%91+0.8
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
Ryan Mountcastle
2016 · A
19 46→56 39→60 48→40 37 .221/.259/.303 .082.308 711 30% 5% 53 -1.5 .227/.253/.347 .120.292 126 26% 3% 62 -0.9 .246/.305/.425.179.29924426%7%102+1.8
Dylan Carlson
2018 · A
19 41→51 40→55 43→50 42 .199/.266/.292 .092.292 86 33% 7% 54 -1.4 .216/.284/.350 .134.284 149 28% 8% 77 +0.1 .242/.327/.396.154.29614422%9%105+1.6
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
Jerar Encarnacion
2017 · A
19 42→45 39→55 50→45 38 .204/.245/.294 .090.282 76 30% 5% 44 -2.1 .191/.234/.289 .098.308 95 39% 5% 38 -2.6 .223/.287/.396.173.32726638%8%87+0.6