Danny Bautista Jr.OF Lansing Lugnuts
Age 25 R/R 6'0" / 185 lbs A+ HR -6%K -4% Svc 0.0 · Ctrl thru 2035
wRC+†69
AVG/OBP/SLG.232 / .285 / .319
PA144
HR2
K%16
BB%5
MLB%0%
BAT: -5.1 runs (wOBA-derived runs vs avg)-5BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.9 runs (Positional adjustment)-1POSREP: +4.1 runs (Replacement-level credit)+4REPTotal WAR: -0.10-0.1WAR
Scouting · nowfuture
HIT
6060
PWR
3434
SPD
5252
EYE
4343
trajectory · 10 yrs
0.0peak
2028

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$0.2M
2034Ext / FA-deal$0.4M
2035Ext / FA-deal$0.6M
Totals $-0.5M $-20M -$19M

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
201817 ROKAZL Athletics 186165 25521 14734 95 .152.235.224.459 .073.258 398 .204 14 -18 -0 +0 -1 +5 -1.4
202120 AStockton Ports 291259 471331 20895 62 .181.254.266.520 .085.269 317 .235 38 -20 +0 +0 -2 +8 -1.4
202221 AStockton Ports 423377 891925 249313 108 .236.304.337.641 .101.299 226 .271 66 -16 -1 +0 -3 +12 -0.8
202322 A+Lansing Lugnuts 475443 1051412 15648 2211 .237.275.287.561 .050.268 133 .249 49 -28 +0 +0 -3 +13 -1.7
202423 A+Lansing Lugnuts 388350 791434 24679 145 .226.292.317.610 .091.265 176 .267 63 -16 +1 +0 -2 +11 -0.7
▸ 2026 Season
202625 MLBOAK 144133 31512 8232 41 .233.287.331.618 .098.269 166 .275 69 -5 +0 +0 -1 +4 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202726 MLB 10%OAK 158146 34612 9262 42 .233.287.329.615 .096.272 166 .284 76 -4 +0 +0 -1 +4 -0.1
202827 MLB 25%OAK 251229 54914 16434 62 .236.297.336.633 .100.274 176 .288 78 -6 +0 +0 -2 +7 -0.0
202928 MLB 37%OAK 311284 681225 20554 73 .239.299.349.647 .109.274 186 .289 79 -7 +0 -1 -2 +9 -0.1
203029 MLB 47%OAK 344313 751326 23625 73 .240.302.351.653 .112.274 187 .288 78 -8 +0 -1 -2 +10 -0.2
203130 MLB 55%OAK 362330 771326 24665 62 .233.295.339.635 .106.273 187 .285 76 -10 +0 -2 -2 +10 -0.4
203231 MLB 66%OAK 364332 761325 24685 52 .229.291.325.616 .096.273 197 .281 73 -11 +0 -3 -2 +10 -0.6
203332 MLB 75%OAK 356325 751325 23695 41 .231.292.329.621 .098.272 196 .277 70 -12 +0 -4 -2 +10 -0.7
203433 MLB 83%OAK 333304 681214 22664 21 .224.285.309.594 .086.271 207 .272 66 -13 +0 -4 -2 +9 -1.0
203534 MLB 89%OAK 293268 591013 19614 21 .220.282.299.580 .078.270 216 .266 62 -13 +0 -5 -2 +8 -1.1
▸ Career Totals (MLE all levels + projections)
Career 46794258 9621712655 28592579 10849 .226.287.317.604 .091.274 206 .269 64 -188 +2 -20 -28 +133 -10.3
/ 162G 650592 1352448 4012811 157 .228.290.323.612 .095.275 206 .269 64 -26 +0 -3 -4 +18 -1.4

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
201817 ROKAZL Athletics 186156 34831 23514 95 .218.333.327.660 .109.311 2712 .302 89 -2 -0 +5 0.3
202120 AStockton Ports 291245 511532 33685 62 .208.313.318.632 .110.277 2311 .285 77 -8 +0 +8 0.1
202221 AStockton Ports 423367 972425 347213 108 .264.348.381.729 .117.315 178 .325 107 +3 -1 +12 1.4
202322 A+Lansing Lugnuts 475435 1181723 22488 2211 .271.318.340.658 .069.294 105 .293 83 -9 +0 +13 0.4
202423 A+Lansing Lugnuts 388339 901754 33519 145 .265.345.381.725 .115.299 139 .324 106 +3 +1 +11 1.5

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
Danny Bautista Jr. (OGILVIE) 25 60 34 52 43 .232/.285/.319 .087.269 24 16% 5% 69 -0.1
Jonny Tucker
2008 · A
25 51→55 36→40 48→55 51 .238/.294/.309 .071.276 313 15% 7% 69 -0.4 .245/.303/.331 .086.289 417 16% 7% 79 +0.3 .245/.305/.332.087.28942215%7%76+0.1
James Tomlin
2008 · AA
25 51→61 38→40 48→50 44 .243/.279/.332 .089.286 514 17% 5% 68 -0.5 .257/.304/.345 .088.314 413 18% 6% 82 +0.5 .262/.313/.348.086.32341219%6%83+0.4
Tony Renda
2016 · AA
25 53→59 36→40 52→50 48 .248/.299/.323 .074.285 317 14% 6% 74 -0.1 .248/.290/.331 .083.284 415 14% 5% 72 -0.2 .252/.292/.338.085.29051414%4%71-0.1
Kevin Russo
2009 · AA
25 52→59 38→40 50 42 .244/.286/.331 .087.301 414 20% 5% 71 -0.3 .249/.297/.328 .079.311 414 20% 6% 75 -0.0 .244/.295/.316.072.31041421%5%68-0.3
Bryan Pritz
2007 · AA
25 49→56 37→40 50 47 .230/.281/.306 .076.279 413 19% 6% 63 -0.9 .233/.282/.326 .093.282 68 19% 6% 68 -0.5 .240/.290/.338.098.2867518%6%72-0.1
Nick Liles
2012 · A
25 54→59 36→30 52→50 43 .251/.283/.320 .069.293 214 15% 4% 66 -0.6 .239/.283/.303 .064.295 310 19% 5% 62 -0.9 .245/.293/.276.032.3050918%6%54-0.7
Ali Castillo
2014 · AA
25 47→57 38→45 45→55 44 .223/.275/.301 .078.270 613 19% 5% 59 -1.1 .242/.284/.306 .064.285 317 16% 5% 63 -0.8 .254/.288/.340.086.2895713%4%72-0.2
Valentin Gamez
2008 · AAA
25 54 36→40 48→40 47 .255/.292/.320 .064.284 415 12% 5% 70 -0.3 .235/.285/.300 .065.271 48 14% 6% 63 -0.9 .272/.319/.343.071.3083312%6%87+0.4
Ben Orloff
2012 · A
25 51→58 38→40 49→50 48 .237/.290/.318 .082.259 410 11% 5% 70 -0.3 .251/.303/.305 .054.276 210 9% 5% 72 -0.2 .265/.319/.295.030.2890108%5%73-0.1
John Valente
2021 · A
26 52 36→40 48→50 45 .242/.280/.305 .062.273 311 13% 4% 61 -1.0 .248/.297/.341 .093.287 616 15% 6% 79 +0.3 .265/.313/.359.095.30162114%6%85+0.3
Lorenzo Cedrola
2023 · AAA
25 52→58 41→45 50 39 .249/.282/.350 .101.293 813 18% 3% 74 -0.1 .232/.291/.340 .108.274 921 18% 5% 77 +0.1 .219/.304/.331.112.252103517%7%77+0.0
Matt Szczur
2014 · AA
25 52→56 39→45 53→55 47 .246/.298/.339 .092.294 521 18% 6% 78 +0.2 .236/.283/.323 .087.291 723 20% 6% 68 -0.5 .238/.311/.365.127.284121520%8%87+0.4
Ed Lucas
2007 · A
25 51→56 38→45 51→50 45 .241/.288/.319 .078.298 516 21% 6% 69 -0.4 .240/.292/.337 .097.303 815 22% 7% 76 +0.0 .244/.310/.361.117.304121523%8%87+0.6
Diego Madero
2017 · AAA
25 51 39→45 49→50 44 .242/.278/.326 .085.275 615 15% 4% 66 -0.6 .252/.291/.359 .107.287 1015 16% 4% 81 +0.4 .250/.293/.368.118.278131315%5%80+0.2
Peeter Ramos
2007 · AA
25 51→54 37→40 47→50 46 .241/.289/.307 .066.290 511 18% 6% 66 -0.6 .243/.295/.326 .083.292 810 19% 6% 74 -0.1 .248/.302/.327.080.29291018%6%76+0.0
Tim Locastro
2017 · AA
25 48→52 39→45 52→60 43 .229/.289/.314 .085.264 620 16% 4% 69 -0.4 .238/.309/.339 .101.281 725 18% 4% 85 +0.7 .240/.325/.350.110.28983118%5%91+0.8
Daniel Kaczrowski
2012 · AA
25 49→53 37→40 47→50 46 .232/.271/.302 .070.266 410 15% 5% 56 -1.3 .219/.279/.288 .069.252 511 14% 7% 57 -1.2 .203/.282/.242.040.22821311%10%45-0.8
Justin Maffei
2017 · AA
25 49 37→40 49→50 46 .228/.292/.303 .075.302 411 24% 7% 67 -0.5 .231/.305/.306 .075.304 412 23% 8% 74 -0.1 .245/.344/.275.030.32201621%10%80+0.1
Jason Bourgeois
2007 · AAA
25 48→58 39→45 52→65 45 .228/.274/.319 .092.271 516 18% 5% 63 -0.9 .255/.295/.357 .102.295 727 16% 5% 82 +0.5 .267/.305/.362.095.30373314%4%83+0.5
Zach Gibbons
2018 · AA
24 50→49 40 50 47 .238/.288/.333 .095.280 712 18% 6% 72 -0.2 .230/.276/.324 .094.276 69 18% 6% 65 -0.7 .230/.274/.323.093.2735617%6%62-0.7