Geraldi DiazC Dominican Republic
Age 26 L/R 5'11" / 205 lbs INTL HR -9% Svc 0.0 · Ctrl thru 2036 peak 0.1 · 2027
wRC+†56
AVG/OBP/SLG.196 / .264 / .302
PA76
HR1
K%31
BB%7
MLB%0%
BAT: -3.8 runs (wOBA-derived runs vs avg)-4BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.4 runs (Positional adjustment)+1POSREP: +2.2 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
0.1peak
2028

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Pre-Arb$0.9M
2032Pre-Arb$0.9M
2033Pre-Arb$1.0M
2034Arb-1$0.2M
2035Extbeyond projection horizon · no WAR estimate
2036Extbeyond projection horizon · no WAR estimate
Totals $-10M $-10M +$0.0M

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
201717 ROKDSL Nationals 206185 30811 15434 00 .162.240.232.473 .070.203 217 .212 20 -19 +0 +0 +4 +6 -0.9
201818 ROKDSL Nationals 204171 31921 184513 32 .181.307.275.582 .094.238 229 .251 50 -11 -0 +0 +4 +6 -0.2
201919 ROKGCL Nationals 9580 18301 8165 12 .225.333.300.633 .075.266 178 .274 68 -3 -1 +0 +2 +3 0.0
202121 AFredericksburg Nationals 158137 24601 12459 30 .175.285.241.526 .066.253 288 .243 44 -10 +1 +0 +3 +4 -0.2
202222 AFredericksburg Nationals 302265 541523 23878 31 .204.287.309.597 .106.282 298 .266 62 -13 +0 +0 +5 +9 0.1
202323 A+2 teams 131116 12113 13631 10 .103.200.207.407 .103.176 4810 .177 -6 -16 +0 +0 +2 +4 -1.0
202424 INTL3 teams 113101 8102 6425 00 .079.170.149.318 .069.105 375 .136 -38 -18 +0 +0 +2 +3 -1.3
202525 INTLDominican Republic 2624 3100 161 00 .125.192.167.359 .042.167 234 +0 +0
▸ 2026 Season
202626 MLBWSH 7669 12201 6241 10 .174.250.246.496 .072.278 328 .259 56 -4 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202727 MLB 10%WSH 117106 22412 9361 20 .208.276.321.597 .113.279 318 .265 61 -5 +0 +0 +2 +3 0.1
202828 MLB 20%WSH 208188 38714 16632 31 .202.272.314.586 .112.280 308 .269 64 -9 +0 -1 +4 +6 0.1
202929 MLB 33%WSH 264238 48915 21793 31 .202.275.311.586 .109.280 308 .269 64 -11 +0 -1 +5 +7 0.0
203030 MLB 43%WSH 303273 561026 24923 31 .205.277.322.599 .117.279 308 .267 63 -13 +0 -2 +5 +9 -0.1
203131 MLB 57%WSH 302272 551016 24923 20 .202.274.312.587 .110.277 308 .264 60 -14 +0 -3 +5 +9 -0.2
203232 MLB 75%WSH 289261 51915 23903 10 .195.268.295.563 .100.276 318 .259 56 -14 +0 -4 +5 +8 -0.4
203333 MLB 92%WSH 261237 45814 20832 00 .190.259.283.541 .093.274 328 .254 52 -14 +0 -4 +5 +7 -0.6
203434 MLBWSH 220199 38713 17722 00 .191.261.281.543 .090.272 338 .248 48 -13 +0 -5 +4 +6 -0.8
▸ Career Totals (MLE all levels + projections)
Career 32752922 5451101548 25697866 268 .187.267.284.551 .097.259 308 .248 48 -193 +2 -20 +58 +93 -6.0
/ 162G 650580 10922310 5119413 52 .188.269.288.557 .100.261 308 .248 48 -38 +0 -4 +12 +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
201717 ROKDSL Nationals 206175 401211 25304 00 .229.338.326.664 .097.267 1512 .306 92 -2 +0 +6 0.4
201818 ROKDSL Nationals 204160 391231 293113 32 .244.401.375.776 .131.295 1514 .358 132 +7 -0 +6 1.3
201919 ROKGCL Nationals 9575 21401 13115 12 .280.419.373.793 .093.312 1214 .363 136 +4 -1 +3 0.6
202121 AFredericksburg Nationals 158129 28702 20329 30 .217.361.318.679 .101.274 2013 .322 105 +1 +1 +4 0.6
202222 AFredericksburg Nationals 302252 641924 36608 31 .254.365.393.758 .139.309 2012 .339 117 +6 +0 +9 1.5
202323 A+Wilmington Blue Rocks 7162 5001 8330 00 .081.186.129.315 .048.138 4611 .159 -20 -10 +0 +2 -0.8
202323 AFredericksburg Nationals 6045 9112 14131 10 .200.400.400.800 .200.233 2223 .368 140 +3 +0 +2 0.5
202424 A+Wilmington Blue Rocks 3835 3000 2111 00 .086.158.086.244 .000.125 295 .128 -44 -6 +0 +1 -0.5
202424 ROKFCL Nationals 1814 2101 341 00 .143.333.429.762 .286.111 2217 .344 121 +0 +0 +1 0.1
202424 INTLGigantes del Cibao 5749 17312 473 00 .347.429.5711.000 .224.375 127 .431 188 +6 +0 +2 0.7
202525 INTLDominican Republic 2624 3100 161 00 .125.192.167.359 .042.167 234 .174 -9 -3 +0 +1 -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
Geraldi Diaz (OGILVIE) 26 .196/.264/.302 .105.278 11 31% 7% 56 -0.2
Jackson Cluff
2023 · AA
26 36→29 40→45 48→55 36 .179/.243/.270 .091.285 811 38% 6% 39 -2.5 .186/.268/.305 .119.285 1220 36% 9% 59 -1.1 .181/.273/.314.132.266142835%10%61-0.6
Jake Lowery
2016 · AA
26 37 44→45 47→30 43 .189/.255/.306 .118.271 114 33% 8% 53 -1.5 .187/.257/.291 .104.291 105 36% 8% 50 -1.7 .125/.205/.184.059.2604049%9%0-1.2
Mark Contreras
2021 · AA
26 36→38 44→50 47→55 38 .183/.247/.298 .115.269 1113 35% 6% 48 -1.9 .201/.262/.346 .145.292 1719 36% 6% 66 -0.6 .199/.260/.339.140.286172435%6%61-0.7
Patrick Dorrian
2021 · A
25 42→37 43→55 51→45 41 .206/.260/.322 .117.290 96 31% 6% 59 -1.1 .198/.265/.350 .152.297 186 37% 8% 69 -0.4 .189/.258/.354.165.27522538%8%64-0.5
JJ Schwarz
2022 · AA
26 38 44→45 47→30 44 .195/.260/.302 .108.268 124 31% 8% 54 -1.4 .216/.284/.346 .130.306 154 32% 9% 76 +0.0 .206/.279/.334.128.29016133%9%68-0.3
Shane Matheny
2022 · AA
26 38→42 43→45 47→50 39 .187/.250/.294 .107.292 116 38% 7% 48 -1.9 .201/.285/.328 .127.324 149 38% 10% 72 -0.2 .191/.281/.316.125.30014938%10%64-0.5
Camden Duzenack
2021 · AA
26 35→37 45→50 47→50 39 .184/.244/.304 .120.244 1410 30% 6% 48 -1.9 .203/.249/.336 .133.277 1610 32% 5% 59 -1.1 .205/.254/.334.129.270151029%5%57-0.6
Connor Hoover
2023 · AA
27 34→30 47→50 50 44 .181/.258/.318 .137.259 1513 35% 9% 58 -1.2 .189/.267/.321 .132.273 1612 35% 9% 63 -0.9 .160/.249/.296.136.218191236%9%46-1.0
Colin Simpson
2022 · A
26 40 44→45 51→40 38 .200/.253/.319 .118.300 126 36% 6% 55 -1.4 .201/.256/.330 .129.287 146 33% 7% 59 -1.1 .189/.247/.320.131.26414433%7%50-0.9
Julian Escobedo
2023 · AA
25 38→36 41→40 48→50 40 .191/.255/.290 .099.266 914 31% 6% 49 -1.8 .203/.269/.317 .114.286 1015 31% 6% 62 -0.9 .179/.252/.313.134.265122035%6%50-0.4
Mike Salvatore
2023 · A
26 33 42→40 49→45 41 .172/.233/.267 .095.245 106 33% 7% 33 -2.9 .188/.255/.278 .090.259 88 29% 8% 46 -2.0 .175/.250/.252.077.2336726%8%33-1.1
Toby Welk
2022 · AA
25 39→33 44→45 48→45 42 .196/.263/.315 .118.271 129 31% 7% 59 -1.1 .204/.262/.318 .114.295 127 33% 7% 59 -1.1 .195/.242/.316.121.28213035%5%50-0.5
Chase Pinder
2022 · AA
26 38 42→45 43→45 44 .190/.273/.285 .095.272 105 32% 8% 56 -1.3 .226/.321/.370 .144.293 1510 26% 11% 98 +1.6 .221/.324/.370.149.286161127%12%97+0.8
Sharif Othman
2015 · A
26 35 44→40 48→30 40 .186/.237/.300 .114.248 135 31% 6% 43 -2.2 .193/.236/.277 .084.275 83 32% 5% 36 -2.7 .183/.222/.258.075.2598132%4%22-1.4
Chris Roller
2023 · AA
26 37 39→45 50→55 40 .183/.248/.270 .087.268 614 32% 6% 40 -2.4 .194/.274/.324 .130.304 1416 38% 9% 67 -0.5 .179/.266/.318.140.290171941%9%60-0.7
Chase Simpson
2017 · A
25 39→36 44→50 51→45 44 .196/.264/.315 .120.274 106 31% 8% 59 -1.1 .194/.252/.311 .117.289 117 35% 7% 53 -1.5 .129/.170/.236.107.19213341%4%-4-1.2
Eric Jagielo
2018 · AAA
26 38→35 42→45 43→30 40 .191/.259/.288 .097.275 102 33% 7% 50 -1.7 .184/.241/.291 .107.277 114 36% 6% 43 -2.2 .158/.206/.269.111.24013139%5%20-2.8
Evan Skoug
2022 · A
26 32 46→45 46→40 40 .171/.245/.297 .126.265 145 39% 8% 47 -1.9 .193/.279/.341 .148.288 175 37% 9% 74 -0.1 .168/.266/.322.155.24618237%9%61-0.3
Shayne Fontana
2022 · AA
25 41 42→45 48→55 46 .197/.276/.303 .106.284 99 32% 9% 61 -1.0 .215/.297/.325 .110.300 1114 30% 9% 76 +0.1 .222/.305/.326.104.296111927%8%77+0.1
Nick Vickerson
2014 · A
25 38 43→40 50 47 .190/.271/.298 .108.259 1113 30% 9% 59 -1.1 .198/.292/.298 .100.275 911 29% 10% 68 -0.5 .183/.296/.269.086.25581128%12%59-0.7