Brauli DiazSS DSL Rojos
Age 20 S/R 6'0" / 149 lbs ROK HR +9%K -4% Svc 0.0 · Ctrl thru 2037 peak 2.0 · 2033
wRC+†52
AVG/OBP/SLG.196 / .263 / .287
PA53
HR1
K%33
BB%7
MLB%0%
BAT: -2.9 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.6 runs (Positional adjustment)+1POSREP: +1.5 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.0peak
2032

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+1.9$18M+$17M
2033Ext / FA-deal$1.0M+2.0$20M+$19M
2034Ext / FA-deal$1.0M+1.9$19M+$18M
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 $104M +$87M

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
202317 ROKDSL Reds 8374 5100 4564 52 .068.159.081.240 .014.278 675 .110 -58 -15 +0 +0 +1 +2 -1.2
202418 ROKDSL Rojos 7968 4100 8522 101 .059.179.074.253 .015.250 6610 .138 -36 -12 +2 +0 +1 +2 -0.8
▸ 2026 Season
202620 MLBCIN 5348 10201 4171 10 .208.283.312.596 .104.290 328 .253 52 -3 +0 +0 +1 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%CIN 117106 22412 9361 20 .208.276.321.597 .113.293 318 .277 70 -4 +0 +0 +1 +3 0.1
202822 MLB 28%CIN 262235 51926 22773 51 .217.292.349.641 .132.294 298 .292 82 -5 +1 +0 +3 +7 0.5
202923 MLB 48%CIN 366326 7313210 331054 71 .224.303.368.671 .144.295 299 .301 89 -5 +1 +0 +4 +10 1.1
203024 MLB 62%CIN 437389 8915313 401235 92 .229.309.383.692 .154.295 289 .307 93 -4 +1 +0 +5 +12 1.5
203125 MLB 80%CIN 479426 9717314 451345 102 .228.309.380.689 .153.296 289 .310 95 -2 +1 +0 +5 +14 1.8
203226 MLB 94%CIN 504445 10218315 481416 102 .229.313.384.697 .155.297 2810 .312 97 -2 +1 +0 +5 +14 1.9
203327 MLBCIN 515454 10418315 501446 102 .229.314.381.695 .152.297 2810 .312 97 -2 +1 +0 +6 +15 2.0
203428 MLBCIN 518457 10418315 501466 101 .228.312.379.690 .151.296 2810 .311 96 -2 +2 -1 +6 +15 1.9
203529 MLBCIN 513452 10318315 501466 81 .228.313.381.694 .153.295 2810 .309 94 -3 +1 -1 +5 +15 1.7
203630 MLBCIN 505445 9917314 491466 70 .222.308.369.677 .146.294 2910 .305 92 -5 +1 -2 +5 +14 1.5
203731 MLBCIN 493437 9616314 481445 50 .220.304.366.670 .146.292 2910 .302 89 -6 +1 -3 +5 +14 1.2
203832 MLBCIN 476422 9115313 461425 30 .216.300.358.658 .142.291 3010 .297 85 -8 +1 -4 +5 +13 0.8
203933 MLBCIN 447396 8314211 431365 10 .210.295.338.633 .129.289 3010 .291 81 -9 +0 -4 +5 +13 0.4
204034 MLBCIN 402356 7412210 391264 00 .208.293.337.630 .129.288 3110 .285 76 -11 +0 -5 +4 +11 0.0
204135 MLBCIN 348309 621028 331133 00 .201.284.324.608 .123.285 329 .277 70 -12 +0 -6 +4 +10 -0.4
▸ Career Totals (MLE all levels + projections)
Career 65975845 126921838176 621198477 10315 .217.301.358.658 .141.294 309 .297 85 -110 +15 -25 +71 +187 14.0
/ 162G 650576 12421417 611958 101 .215.299.354.653 .139.292 309 .297 85 -11 +2 -2 +7 +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
202317 ROKDSL Reds 8372 10200 6384 52 .139.244.167.411 .028.294 467 .204 14 -8 +0 +2 -0.6
202418 ROKDSL Rojos 7963 9210 13352 101 .143.308.206.514 .063.321 4416 .255 53 -4 +2 +2 -0.0

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
Brauli Diaz (OGILVIE) 20 .196/.263/.287 .090.290 11 33% 7% 52 -0.1
Adalberto Mondesi
2015 · A
20 39→49 40→60 54→65 34 .196/.228/.285 .089.279 714 32% 4% 34 -2.8 .205/.237/.323 .118.291 1124 32% 4% 49 -1.8 .248/.279/.427.179.328194930%4%92+0.9
Niko Goodrum
2013 · A
21 40→50 39→55 51→55 41 .191/.252/.280 .089.282 58 33% 7% 44 -2.1 .212/.279/.299 .087.310 516 30% 8% 61 -1.0 .231/.306/.406.174.310181630%9%97+1.0
Miguel Gómez
2013 · A
20 42→52 38→50 49→40 41 .201/.259/.282 .081.276 46 28% 6% 48 -1.9 .220/.266/.316 .096.291 75 25% 5% 59 -1.1 .271/.288/.403.133.30514116%2%87+0.6
Yonathan Perlaza
2019 · A
20 44→52 37→60 48→50 38 .209/.246/.281 .072.297 312 30% 5% 40 -2.4 .218/.268/.312 .094.317 87 32% 6% 59 -1.1 .235/.307/.417.182.303191228%9%100+1.6
Dalton Pompey
2013 · A
20 40→50 40→45 55 44 .197/.264/.289 .093.275 816 30% 8% 53 -1.5 .236/.299/.340 .104.314 724 25% 8% 79 +0.3 .253/.315/.362.109.32572823%8%88+0.8
Angel Martínez
2022 · A
20 42→48 40→50 49→50 44 .205/.261/.303 .099.264 710 25% 7% 54 -1.4 .223/.284/.349 .126.283 1210 24% 7% 76 +0.1 .227/.291/.359.132.280131023%7%80+0.3
Alex Liddi
2009 · A
20 42→52 40→60 49→50 38 .202/.249/.300 .098.290 79 32% 5% 48 -1.9 .240/.291/.399 .159.335 167 32% 6% 92 +1.2 .241/.296/.424.182.33620533%6%99+1.7
David Bote
2013 · A
20 43→48 38→55 50→45 43 .200/.271/.286 .086.293 48 31% 8% 54 -1.4 .190/.266/.272 .082.263 56 28% 8% 50 -1.8 .234/.308/.397.164.29819627%8%95+1.0
Shawn O'Malley
2008 · A
20 42→52 36→40 50→60 41 .198/.262/.265 .067.281 411 29% 6% 45 -2.1 .210/.283/.263 .053.291 123 26% 7% 53 -1.5 .259/.321/.357.098.32252320%7%89+0.6
Henry Ramos
2012 · A
20 43→53 41→50 50 36 .211/.245/.308 .097.286 814 29% 4% 48 -1.9 .215/.257/.320 .105.287 99 27% 5% 56 -1.3 .251/.313/.394.142.31416724%7%96+0.9
Dylan Carlson
2019 · A
20 42→52 43→55 45→50 45 .206/.277/.315 .109.279 106 28% 8% 65 -0.7 .228/.297/.383 .155.293 1610 27% 8% 91 +1.1 .242/.327/.396.154.29614422%9%105+1.6
Blake Perkins
2018 · A
21 42→52 40→50 51→55 43 .206/.261/.296 .090.274 814 27% 6% 52 -1.6 .202/.269/.286 .084.291 717 30% 8% 53 -1.5 .228/.311/.359.130.302132527%10%87+0.5
Agustín Ramírez
2022 · A
20 37→45 43→55 44→50 39 .188/.245/.301 .113.275 114 34% 6% 47 -1.9 .223/.286/.366 .143.284 1611 26% 8% 82 +0.5 .230/.293/.405.176.264221622%7%92+1.1
Allan Castro
2023 · A
20 38→43 40→45 54→50 40 .186/.249/.285 .099.276 68 33% 6% 44 -2.1 .202/.269/.315 .113.278 912 29% 8% 61 -1.0 .202/.273/.316.115.271101428%8%60-0.8
Danny Santana
2011 · A
20 42→52 39→60 55 37 .205/.240/.297 .092.277 615 28% 4% 43 -2.2 .226/.262/.322 .096.301 616 26% 4% 58 -1.2 .244/.288/.452.208.303272229%5%102+1.2
Carlos Rodriguez
2023 · A
20 38 40→45 47→45 45 .183/.271/.272 .089.286 76 36% 10% 52 -1.6 .190/.265/.267 .077.298 56 35% 9% 47 -1.9 .182/.268/.267.085.2746333%10%48-0.6
Samad Taylor
2018 · A
20 45→53 37→50 51→65 41 .213/.268/.288 .076.300 410 29% 6% 53 -1.5 .183/.255/.284 .101.259 722 30% 8% 47 -1.9 .236/.312/.377.141.324164630%9%94+0.8
Eddys Leonard
2021 · A
20 42→46 40→50 46→45 45 .200/.274/.295 .095.288 79 31% 8% 59 -1.1 .227/.293/.378 .151.302 175 29% 7% 89 +0.9 .224/.290/.376.152.29017428%6%83+0.5
Emmanuel Rivera
2016 · A
20 40→50 35→55 48→45 45 .185/.261/.247 .062.282 312 33% 9% 40 -2.4 .222/.269/.320 .098.293 77 25% 5% 61 -1.0 .246/.303/.412.166.29319422%7%97+1.1
Rosell Herrera
2013 · A
20 40→50 37→45 48→55 42 .193/.244/.266 .073.258 59 26% 6% 37 -2.7 .230/.275/.318 .088.304 810 26% 6% 63 -0.8 .248/.303/.338.090.31552421%7%77+0.1