Randal DiazSS Wilmington Blue Rocks
Age 23 R/R 6'0" / 205 lbs A+ HR -9% Svc 0.0 · Ctrl thru 2035 peak 1.3 · 2030
wRC+†65
AVG/OBP/SLG.219 / .284 / .314
PA320
HR4
SB9
K%23
BB%7
MLB%0%
BAT: -12.8 runs (wOBA-derived runs vs avg)-13BATRUN: +0.9 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +3.4 runs (Positional adjustment)+3POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: +0.00+0.0WAR
Scouting · nowfuture
HIT
4040
PWR
2020
SPD
6060
EYE
4540
trajectory · 10 yrs
1.3peak
2030

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+1.3$12M+$11M
2031Arb-3$0.9M+1.2$11M+$10M
2032Ext / FA-deal$0.9M+1.0$10M+$9M
2033Ext / FA-deal$2M+0.7$3M+$2M
2034Ext / FA-deal$2M+0.5$3M+$0.9M
2035Ext / FA-deal$1.0M+0.2$1M+$0.1M
Totals $7M $39M +$32M

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 INTLSenadores de San Juan 7163 14400 4153 10 .222.300.286.586 .063.286 216 +0 +1
202522 A2 teams 513460 861031 351157 298 .187.255.228.483 .041.243 227 .217 24 -44 +3 +0 +5 +15 -2.2
▸ 2026 Season (actual · ROS · total)
202623 A+Wilmington Blue Rocks 5147 8112 3161 21 .170.235.362.597 .191.207 316 .262 59 -2 +0 +0 +1 +1 -0.0
ROS23 MLBWSH 269245 52924 19653 72 .212.277.314.591 .102.273 247 .271 66 -10 +1 +0 +3 +8 0.1
TOT23 MLBWSH 320292 601036 22814 93 .205.270.322.592 .116.262 257 .270 65 -13 +1 +0 +3 +9 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%WSH 475430 961739 361006 123 .223.292.340.632 .116.269 218 .285 76 -13 +1 +0 +5 +13 0.7
202825 MLB 25%WSH 507456 10218310 401076 134 .224.295.342.637 .118.271 218 .291 81 -11 +1 +0 +5 +14 1.0
202926 MLB 43%WSH 526472 10719311 431116 134 .227.299.350.649 .123.272 218 .295 84 -10 +1 +0 +6 +15 1.2
203027 MLB 58%WSH 533478 10920311 441136 134 .228.301.351.653 .123.273 218 .295 84 -9 +1 +0 +6 +15 1.3
203128 MLB 68%WSH 533478 10719311 441146 133 .224.297.345.643 .121.273 218 .294 83 -10 +1 -1 +6 +15 1.2
203229 MLB 86%WSH 526471 10619311 441146 123 .225.299.348.648 .123.272 228 .292 82 -11 +1 -1 +6 +15 1.0
203330 MLBWSH 517463 10218310 431146 113 .220.295.337.632 .117.270 228 .289 79 -12 +1 -2 +6 +15 0.7
203431 MLBWSH 504451 10018310 421136 102 .222.297.341.638 .120.269 228 .285 77 -13 +1 -3 +5 +14 0.5
203532 MLBWSH 487437 951739 411126 91 .217.293.332.625 .114.267 238 .281 73 -15 +1 -4 +5 +14 0.2
203633 MLBWSH 458412 871538 381095 91 .211.286.320.606 .109.266 248 .275 69 -16 +1 -4 +5 +13 -0.1
203734 MLBWSH 412371 771327 341014 80 .208.281.310.591 .102.264 258 .269 64 -17 +2 -5 +4 +12 -0.4
▸ Career Totals (MLE all levels + projections)
Career 63315687 124021637112 507140376 16038 .218.291.328.619 .110.268 228 .278 71 -210 +17 -20 +68 +179 3.5
/ 162G 650584 12722411 521448 164 .217.290.325.616 .108.268 228 .278 71 -22 +2 -2 +7 +18 0.3

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 INTLSenadores de San Juan 7163 14400 4153 10 .222.300.286.586 .063.286 216 .270 65 -3 +0 +2 -0.1
202522 AFredericksburg Nationals 428371 841131 46666 297 .226.322.280.602 .054.269 1511 .280 73 -13 +3 +12 0.2
202522 INTLSenadores de San Juan 8572 10100 6231 01 .139.215.153.368 .014.196 277 .169 -13 -11 -0 +2 -0.9

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
Randal Diaz (OGILVIE) 23 40 20 60 40 .219/.284/.314 .095.281 48 23% 7% 67 -0.3
Blake Rambusch
2023 · A
23 47 37→30 52→60 42 .219/.287/.296 .076.318 413 30% 7% 63 -0.8 .226/.311/.291 .065.315 328 26% 9% 72 -0.2 .233/.319/.287.055.31123723%9%71-0.1
Erik Wetzel
2010 · A
23 48 40→30 55 48 .230/.290/.317 .087.288 716 22% 8% 70 -0.3 .232/.279/.280 .048.299 216 22% 6% 54 -1.4 .234/.280/.262.028.30401721%5%47-0.9
Corey Toups
2016 · A
23 48→47 41→45 56→50 46 .230/.290/.340 .110.297 716 24% 7% 76 +0.0 .212/.273/.328 .116.301 1016 31% 6% 66 -0.6 .197/.262/.309.112.294101634%7%54-1.0
Walter Rasquin
2019 · A
23 49 40→30 54→50 42 .235/.285/.331 .096.305 813 25% 6% 71 -0.3 .180/.228/.266 .086.248 711 29% 4% 30 -3.1 .121/.163/.184.063.16161029%3%-22-3.0
Taylor Krick
2011 · A
23 43 39→30 48→40 49 .206/.285/.289 .084.266 77 24% 9% 62 -0.9 .224/.308/.287 .063.307 45 26% 8% 71 -0.3 .233/.323/.283.051.3262226%8%73-0.0
Erlin Cerda
2017 · A
23 45 36→40 53→55 44 .210/.273/.281 .071.280 213 24% 6% 53 -1.5 .196/.241/.267 .071.299 38 33% 5% 35 -2.8 .166/.201/.211.044.2610835%4%-1-1.2
Jacob Young
2022 · A
23 43→53 38→40 57→60 43 .206/.257/.288 .083.264 520 24% 6% 48 -1.9 .238/.299/.313 .075.302 431 21% 6% 72 -0.2 .248/.310/.323.074.31133620%6%76+0.1
Luis Perez
2014 · A
23 45 43→30 50 40 .222/.267/.338 .116.279 109 24% 5% 66 -0.6 .219/.258/.331 .112.307 106 30% 5% 59 -1.1 .217/.244/.347.129.29911231%3%54-0.4
Onix Vega
2022 · A
23 44 39→30 51→45 45 .213/.281/.298 .085.274 68 24% 7% 62 -0.9 .210/.283/.285 .075.278 66 25% 8% 59 -1.1 .198/.277/.253.056.2614524%8%47-0.8
Sean Godfrey
2015 · A
23 50→46 41→45 57→55 38 .240/.274/.347 .106.307 717 24% 3% 70 -0.3 .226/.254/.323 .097.291 713 24% 3% 55 -1.4 .221/.244/.312.092.28271324%2%44-1.0
Ryan Leonards
2015 · A
24 45 39→40 55→50 43 .217/.271/.306 .089.274 712 23% 5% 59 -1.1 .216/.274/.292 .076.275 510 22% 6% 56 -1.3 .209/.272/.272.064.2653821%6%48-0.8
Adrian Abreu
2013 · A
22 45 40 52→55 53 .215/.292/.302 .087.252 818 18% 9% 67 -0.5 .204/.282/.287 .083.261 614 23% 9% 59 -1.1 .141/.245/.214.074.18441424%11%24-0.7
Armand Gaerlan
2006 · A
23 45 38→30 53→55 43 .214/.271/.297 .083.287 516 26% 6% 56 -1.3 .201/.252/.313 .112.258 1011 25% 6% 53 -1.5 .122/.163/.273.150.12915322%4%4-0.8
Najee Gaskins
2021 · A
23 50 37→30 56→50 48 .230/.311/.310 .080.304 318 24% 8% 78 +0.2 .211/.275/.289 .078.343 510 37% 6% 56 -1.3 .200/.267/.265.065.3494940%5%46-0.6
Kraig Binick
2008 · A
23 46 42→40 56→55 47 .223/.293/.329 .106.270 911 20% 7% 75 -0.0 .217/.276/.318 .101.254 912 18% 5% 65 -0.7 .227/.286/.292.066.24372610%4%59-0.5
Andrew Sohn
2016 · A
23 45 38→30 52→55 41 .216/.269/.295 .078.278 617 24% 5% 55 -1.4 .203/.274/.280 .077.276 616 27% 7% 54 -1.4 .170/.262/.222.052.23851828%9%32-1.4
Hoy Park
2019 · A
23 44→50 39→45 56→55 49 .210/.288/.294 .085.276 617 25% 9% 63 -0.8 .228/.306/.323 .095.301 716 25% 9% 79 +0.3 .219/.306/.338.119.290131827%10%79+0.2
Roy Morales
2018 · A
23 49 36→30 49→45 49 .231/.294/.298 .066.270 48 16% 6% 66 -0.6 .229/.291/.300 .071.281 410 19% 7% 66 -0.6 .267/.331/.325.058.3194816%7%86+0.3
David Kandilas
2014 · A
23 44 40→45 55 44 .214/.273/.309 .094.279 718 25% 7% 60 -1.0 .209/.270/.306 .097.276 816 26% 7% 59 -1.1 .195/.259/.301.106.25181724%6%50-1.1
Imbewer Alvarez
2008 · A
22 47 40 51→55 46 .225/.293/.318 .094.300 717 26% 8% 72 -0.2 .201/.260/.278 .077.307 512 34% 6% 47 -1.9 .135/.182/.184.049.2234540%2%-12-1.0