Diego VelasquezSS Richmond Flying Squirrels
Age 22 S/R 6'0" / 208 lbs AA BB -3% Svc 0.0 · Ctrl thru 2034 peak 2.3 · 2030
wRC+†73
AVG/OBP/SLG.228 / .300 / .299
PA320
HR2
SB12
K%21
BB%8
MLB%2%
BAT: -9.6 runs (wOBA-derived runs vs avg)-10BATRUN: +1.9 runs (SB/CS + UBR baserunning)+2RUNFLD: +0.8 runs (Defensive runs vs avg)+1FLDPOS: +3.4 runs (Positional adjustment)+3POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: +0.50+0.5WAR
Scouting · nowfuture
HIT
5551
PWR
2035
SPD
5555
FLD
5551
EYE
4955
trajectory · 10 yrs
2.1peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Arb-1$0.8M+2.1$18M+$18M
2030Arb-2$0.9M+2.3$21M+$20M
2031Arb-3$0.9M+2.3$21M+$20M
2032Ext / FA-deal$5M+2.2$21M+$16M
2033Ext / FA-deal$7M+2.0$20M+$13M
2034Ext / FA-deal$8M+1.7$17M+$9M
Totals $22M $118M +$96M

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
202117 ROKACL Giants Black 180165 28200 8383 21 .170.222.182.403 .012.219 214 .183 -2 -21 +0 +0 +2 +5 -1.4
202218 ROK2 teams 237211 45521 16564 71 .213.281.270.552 .057.280 247 .237 40 -16 +1 +0 +3 +7 -0.6
202319 A2 teams 565484 1273019 4212713 247 .262.338.384.722 .122.328 227 .309 95 -3 +2 +0 +6 +16 2.1
202420 A+2 teams 488434 1071633 311148 2110 .247.309.318.627 .071.323 236 .273 67 -18 +0 +0 +5 +14 0.1
202521 AA2 teams 614533 1322012 5511111 206 .248.331.300.631 .053.307 189 .278 71 -20 +2 +0 +7 +17 0.6
▸ 2026 Season (actual · ROS · total)
202622 AARichmond Flying Squirrels 5543 9201 6122 40 .209.333.326.659 .116.250 2211 .298 86 -1 +1 +0 +1 +2 0.2
ROS22 MLBSF 265236 53912 22555 82 .225.304.297.601 .072.282 218 .278 71 -9 +1 +1 +3 +8 0.3
TOT22 MLBSF 320279 621113 28677 122 .222.309.301.610 .079.278 219 .281 73 -10 +2 +1 +3 +9 0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 9%SF 603537 1232226 5111710 195 .229.308.311.619 .082.277 198 .283 74 -17 +2 +2 +6 +17 1.0
202824 MLB 18%SF 643572 1322329 5612410 215 .231.310.325.636 .094.279 199 .292 82 -13 +2 +2 +7 +18 1.6
202925 MLB 26%SF 666591 13824211 5912911 215 .234.315.337.651 .103.281 199 .299 87 -10 +2 +2 +7 +19 2.1
203026 MLB 35%SF 679601 14225212 6213211 225 .236.319.344.663 .108.282 199 .302 89 -8 +2 +2 +7 +19 2.3
203127 MLB 44%SF 682603 14225212 6313311 215 .235.319.343.662 .108.282 209 .302 89 -8 +2 +2 +7 +19 2.3
203228 MLB 47%SF 679600 14125212 6313411 204 .235.319.343.662 .108.281 209 .301 89 -9 +2 +1 +7 +19 2.2
203329 MLB 50%SF 671592 13824211 6313411 194 .233.318.336.654 .103.280 209 .299 87 -10 +2 +1 +7 +19 2.0
203430 MLB 52%SF 661584 13523211 6213410 173 .231.316.334.649 .103.279 209 .296 85 -11 +2 -0 +7 +19 1.7
203531 MLB 56%SF 648573 13123210 6013410 142 .229.313.328.641 .099.278 219 .292 82 -13 +2 -1 +7 +18 1.3
203632 MLB 60%SF 629556 1252129 5813410 111 .225.309.318.628 .094.277 219 .288 78 -15 +2 -2 +7 +18 1.0
203733 MLB 63%SF 600530 1182028 561329 80 .223.308.313.621 .091.275 229 .283 74 -17 +2 -2 +6 +17 0.5
203834 MLB 65%SF 551487 1061817 511268 60 .218.302.302.604 .084.274 239 .277 70 -19 +1 -3 +6 +16 0.1
▸ Career Totals (MLE all levels + projections)
Career 100618889 206335531135 8782064166 28166 .232.313.325.637 .092.286 219 .288 79 -239 +30 +5 +108 +285 19.2
/ 162G 650574 1342329 5713311 184 .233.315.328.642 .094.287 209 .288 79 -15 +2 +0 +7 +18 1.3

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
202117 ROKACL Giants Black 180160 34300 13253 21 .212.284.231.515 .019.250 147 .240 42 -12 +0 +5 -0.7
202218 ASan Jose Giants 4744 7100 390 00 .159.213.182.395 .023.200 196 .187 2 -5 +0 +1 -0.4
202218 ROKACL Giants Orange 190159 44521 21314 71 .277.375.352.727 .075.331 1611 .326 107 +2 +1 +5 0.8
202319 ASan Jose Giants 517426 1273218 568212 236 .298.395.434.829 .136.344 1611 .358 132 +19 +2 +15 3.6
202319 INTLNavegantes del Magallanes 4834 7110 1061 11 .206.400.294.694 .088.233 1221 .315 99 -0 -0 +1 0.1
202420 AARichmond Flying Squirrels 170147 46411 16293 34 .313.392.374.766 .061.381 179 .344 121 +4 -1 +5 0.8
202420 A+Eugene Emeralds 318270 741633 32545 186 .274.362.389.750 .115.327 1710 .329 110 +4 +1 +9 1.4
202521 AARichmond Flying Squirrels 566473 1212012 708110 196 .256.363.315.678 .059.303 1412 .312 97 -2 +1 +16 1.6
202521 INTLNavegantes del Magallanes 4839 12210 661 10 .308.413.410.823 .103.364 1212 .359 133 +2 +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
Diego Velasquez (OGILVIE) 22 55→51 20→35 55 55 .228/.300/.299 .070.288 28 21% 8% 70 -0.2
Callix Crabbe
2006 · AA
23 48→53 37→40 52→55 51 .224/.291/.297 .073.274 316 19% 8% 65 -0.7 .239/.307/.325 .086.284 619 17% 9% 79 +0.3 .241/.315/.329.087.28662016%9%81+0.3
Steve Lombardozzi Jr.
2011 · AA
22 53→59 38→45 50 47 .248/.302/.338 .090.301 412 19% 7% 79 +0.3 .262/.303/.359 .097.304 615 15% 5% 85 +0.7 .267/.302/.360.093.30161413%4%81+0.3
Reegie Corona
2009 · AA
22 50→53 37→40 53→55 47 .234/.288/.305 .071.287 419 19% 7% 66 -0.6 .222/.279/.308 .086.267 516 18% 7% 63 -0.9 .210/.261/.295.084.25661320%6%49-0.9
Cesar Diaz
2015 · A
22 51 38→40 47→50 53 .238/.307/.320 .082.272 511 14% 8% 78 +0.2 .226/.296/.318 .092.264 519 15% 8% 72 -0.2 .221/.290/.319.098.25462815%8%67-0.2
Brice Turang
2022 · AAA
22 46→56 39→45 52→60 50 .220/.288/.302 .082.280 618 23% 9% 65 -0.7 .238/.297/.338 .100.297 1028 22% 8% 78 +0.2 .273/.346/.393.120.333123520%10%107+1.7
Cliff Pennington
2006 · A
22 48→55 38→45 52→55 50 .226/.290/.305 .079.274 619 19% 8% 67 -0.5 .217/.286/.297 .080.267 516 19% 9% 63 -0.8 .244/.307/.348.104.29172418%8%82+0.5
Jonathan Herrera
2007 · A
22 53→58 38→40 51→55 48 .254/.304/.336 .082.301 618 18% 6% 80 +0.4 .246/.294/.320 .074.291 418 16% 6% 72 -0.2 .252/.303/.324.072.2964815%6%69-0.2
Gabriel Maciel
2021 · A
22 50→53 36→30 49→55 46 .233/.291/.300 .067.294 415 21% 7% 66 -0.6 .216/.274/.292 .076.279 416 23% 7% 56 -1.3 .211/.269/.277.066.27131822%7%47-0.8
Hainley Statia
2008 · A
22 53→57 36→40 50 47 .249/.296/.324 .075.297 315 17% 6% 73 -0.1 .234/.278/.309 .075.270 314 14% 6% 62 -0.9 .228/.297/.297.069.2746918%9%64-0.4
Alejo Lopez
2018 · A
22 48→58 38→40 51→55 49 .226/.283/.307 .081.258 511 15% 6% 64 -0.8 .238/.289/.306 .068.293 38 19% 5% 66 -0.6 .267/.333/.360.092.30661214%8%95+1.0
Xavier Edwards
2022 · AA
22 54→64 35→40 52→60 48 .250/.298/.314 .064.295 221 16% 6% 71 -0.3 .259/.313/.341 .082.310 524 17% 7% 85 +0.7 .299/.358/.381.081.34343613%8%110+2.1
Ruben Santana
2021 · A
23 49 38→45 52→55 48 .227/.286/.316 .089.275 312 18% 7% 68 -0.5 .198/.260/.269 .071.290 59 31% 7% 45 -2.1 .158/.225/.196.038.22841130%8%11-1.1
Carlos Alvarez
2009 · A
23 49 37→40 51→45 50 .230/.298/.310 .081.274 49 17% 7% 72 -0.2 .226/.312/.316 .090.269 58 16% 9% 79 +0.3 .217/.319/.312.095.2565815%11%81+0.2
Omar Casamayor
2008 · A
21 52 36→40 49→55 48 .241/.299/.310 .069.280 212 14% 6% 72 -0.2 .230/.277/.292 .062.283 210 18% 5% 57 -1.2 .227/.268/.272.044.2861820%4%43-0.6
Carlos Mendoza
2022 · A
22 52→56 36→40 55 57 .240/.334/.313 .073.289 318 17% 10% 89 +0.9 .240/.343/.312 .072.309 314 21% 12% 92 +1.2 .252/.341/.336.084.31161919%9%94+0.9
Jeremy Arocho
2021 · A
22 48→43 36→30 47→60 47 .226/.287/.294 .067.288 210 21% 7% 62 -0.9 .230/.323/.285 .055.320 226 25% 12% 76 +0.1 .224/.333/.269.045.30513423%14%74-0.0
Darwin Perez
2012 · AAA
23 49→51 36→40 52→50 46 .230/.292/.300 .070.313 315 26% 8% 66 -0.6 .204/.266/.282 .078.285 616 28% 7% 50 -1.7 .183/.247/.257.074.25861730%7%33-2.2
Guilder Rodriguez
2006 · AA
23 50→55 36→30 53→55 47 .233/.289/.299 .066.297 410 22% 7% 64 -0.8 .232/.290/.278 .046.293 212 20% 7% 59 -1.1 .251/.299/.276.025.30311816%6%58-0.5
Aderling Mejia
2015 · AA
23 54→53 34→30 48→50 50 .249/.302/.301 .053.291 217 15% 7% 70 -0.3 .225/.285/.286 .061.275 312 18% 8% 59 -1.1 .208/.269/.257.050.2531517%8%44-1.1
Oliver Nunez
2018 · A
23 51 36→40 52→50 49 .238/.295/.309 .072.290 314 19% 7% 69 -0.4 .210/.258/.286 .076.287 511 27% 5% 48 -1.9 .171/.211/.231.061.23661130%4%11-1.5