Adrián SugasteyC Richmond Flying Squirrels
Age 23 R/R 6'0" / 213 lbs AA BB -3% Svc 0.0 · Ctrl thru 2034 peak 1.2 · 2030
wRC+†59
AVG/OBP/SLG.229 / .268 / .330
PA320
HR5
K%18
BB%5
MLB%2%
BAT: -14.9 runs (wOBA-derived runs vs avg)-15BATRUN: -0.4 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +5.7 runs (Positional adjustment)+6POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -0.00-0.0WAR
Scouting · nowfuture
HIT
5050
PWR
4040
SPD
4545
EYE
3630
trajectory · 10 yrs
1.1peak
2029

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+1.1$10M+$9M
2030Arb-2$0.9M+1.2$11M+$10M
2031Arb-3$0.9M+1.0$9M+$8M
2032Ext / FA-deal$2M+0.8$4M+$2M
2033Ext / FA-deal$2M+0.6$3M+$1M
2034Ext / FA-deal$1M+0.4$2M+$0.5M
Totals $7M $38M +$31M

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
202118 ROKACL Giants Orange 163153 43301 7371 10 .281.317.320.637 .039.359 234 .283 75 -5 +0 +0 +3 +5 0.3
202219 A3 teams 399364 711024 248910 10 .195.264.266.530 .071.246 226 .240 42 -26 +0 +0 +7 +11 -0.8
202320 A+Eugene Emeralds 264253 601123 8511 10 .237.263.332.595 .095.284 193 .260 57 -13 +0 +0 +5 +7 -0.0
202421 AARichmond Flying Squirrels 191183 35821 3483 00 .191.217.273.490 .082.250 252 .209 18 -18 +0 +0 +3 +5 -0.9
202522 AARichmond Flying Squirrels 355330 70916 18491 43 .212.255.300.555 .088.230 145 .239 41 -24 -0 +0 +6 +10 -0.8
▸ 2026 Season (actual · ROS · total)
202623 AARichmond Flying Squirrels 3533 7101 160 00 .212.235.333.569 .121.222 173 .221 27 -3 +0 +0 +1 +1 -0.1
ROS23 MLBSF 285269 621115 13511 21 .230.269.335.603 .104.264 185 .267 63 -12 +0 +0 +5 +8 0.1
TOT23 MLBSF 320302 691216 14571 21 .228.265.334.599 .106.261 184 .262 59 -15 +0 +0 +6 +9 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 11%SF 414388 901628 21692 42 .232.275.345.620 .113.262 175 .278 71 -14 +0 +0 +7 +12 0.6
202825 MLB 26%SF 451420 9917210 25773 52 .236.283.357.641 .121.265 176 .284 76 -12 +0 +0 +8 +13 0.9
202926 MLB 44%SF 472438 10318210 28823 62 .235.286.354.640 .119.266 176 .288 79 -11 +0 +0 +8 +13 1.1
203027 MLB 59%SF 480445 10418211 29843 62 .234.285.357.642 .124.267 186 .289 79 -11 +0 +0 +9 +14 1.2
203128 MLB 69%SF 480444 10418211 30853 52 .234.287.358.645 .124.266 186 .288 78 -12 +0 -1 +9 +14 1.0
203229 MLB 77%SF 473438 10218210 29853 52 .233.285.352.637 .119.266 186 .286 77 -12 +0 -1 +8 +13 0.8
203330 MLB 85%SF 464429 9917210 29853 42 .231.284.350.634 .119.264 186 .283 74 -13 +0 -2 +8 +13 0.6
203431 MLB 91%SF 437404 921629 27823 31 .228.281.344.625 .116.263 196 .279 72 -14 +0 -3 +8 +12 0.4
203532 MLBSF 408378 861528 25792 21 .228.279.341.620 .114.262 196 .274 68 -15 +0 -4 +7 +12 0.1
203633 MLBSF 369341 751317 23742 11 .220.273.326.599 .106.260 206 .269 64 -15 -0 -4 +7 +10 -0.2
203734 MLBSF 317293 631115 19662 11 .215.268.311.578 .096.259 216 .263 59 -15 -0 -5 +6 +9 -0.5
▸ Career Totals (MLE all levels + projections)
Career 64225970 135822928119 358119346 5122 .227.276.335.611 .108.264 196 .272 67 -242 +1 -20 +115 +182 3.8
/ 162G 650604 13723312 361215 52 .227.276.334.610 .108.264 196 .272 67 -24 +0 -2 +12 +18 0.4

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
202118 ROKACL Giants Orange 163148 53602 12261 10 .358.410.439.849 .081.418 167 .379 148 +9 +0 +5 1.4
202219 ASan Jose Giants 340300 721115 305310 10 .240.329.333.663 .093.277 169 .306 93 -3 +0 +10 0.7
202219 ROKACL Giants Orange 3126 6110 450 00 .231.333.346.679 .115.273 1613 .300 88 -0 +0 +1 0.0
202219 INTLScottsdale Scorpions 2826 10100 210 00 .385.429.423.852 .038.400 47 .387 154 +2 +0 +1 0.3
202320 A+Eugene Emeralds 264248 741524 13371 10 .298.336.423.759 .125.335 145 .336 115 +4 +0 +7 1.2
202421 AARichmond Flying Squirrels 191181 381021 5383 00 .210.243.304.547 .094.257 203 .243 44 -12 +0 +5 -0.7
202522 AARichmond Flying Squirrels 355324 751018 24391 43 .231.287.343.629 .111.239 117 .280 72 -11 -0 +10 -0.2

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
Adrián Sugastey (OGILVIE) 23 50 40 45 30 .229/.268/.330 .101.267 53 18% 5% 64 -0.4
Gilberto Galaviz
2015 · AAA
23 47 42→40 46→30 40 .233/.266/.338 .105.276 106 20% 4% 65 -0.7 .248/.285/.331 .083.286 75 15% 4% 70 -0.3 .257/.294/.304.047.2873111%3%64-0.3
Dawel Lugo
2018 · AA
23 50→54 43→45 45 41 .245/.274/.358 .112.284 114 18% 3% 73 -0.1 .246/.272/.351 .105.289 87 18% 3% 70 -0.3 .247/.271/.348.101.2927818%3%65-0.7
Xavier Fernández
2019 · AA
24 46 43→50 44→40 42 .226/.262/.339 .112.263 105 19% 4% 63 -0.8 .226/.270/.357 .131.267 156 21% 5% 72 -0.2 .238/.288/.371.134.28216221%6%80+0.2
Owen Miller
2021 · AA
24 47→52 41→45 43→50 43 .228/.275/.327 .099.278 96 22% 5% 66 -0.6 .236/.288/.355 .119.298 117 24% 6% 79 +0.3 .242/.294/.363.121.29911822%6%80+0.2
Alex Monsalve
2015 · AA
23 46→51 41→40 45→40 41 .224/.264/.323 .100.276 84 22% 4% 59 -1.1 .223/.268/.315 .092.286 74 23% 5% 59 -1.1 .224/.264/.295.071.2785021%4%50-0.4
Mike Dowd
2014 · AA
24 48 39→40 41→40 41 .228/.268/.310 .082.268 64 18% 3% 59 -1.1 .203/.252/.278 .075.259 55 23% 5% 43 -2.2 .176/.219/.225.048.2313224%4%11-1.5
Pedro Severino
2016 · AA
23 43→50 41→50 44→45 40 .211/.245/.302 .091.257 94 22% 4% 46 -2.0 .218/.260/.305 .087.264 94 20% 5% 53 -1.5 .246/.315/.384.137.30417324%8%95+0.7
Ramón Rodríguez
2022 · AA
23 43 43→40 47→45 41 .215/.260/.324 .109.274 115 26% 5% 59 -1.1 .223/.275/.317 .094.260 108 18% 6% 63 -0.8 .219/.280/.315.096.24011814%7%64-0.3
C.J. Hinojosa
2017 · AA
23 48→54 41→45 42→45 46 .231/.285/.333 .101.285 94 22% 7% 72 -0.2 .235/.281/.322 .087.276 86 17% 6% 67 -0.5 .238/.280/.360.121.28612521%5%75-0.0
Colton Welker
2021 · AA
23 46→55 42→45 47→45 41 .228/.270/.334 .106.293 105 26% 5% 66 -0.6 .213/.283/.323 .110.281 116 27% 8% 69 -0.4 .192/.286/.266.074.2647328%10%55-0.4
Juan Castillo
2013 · A
23 48 42→45 46→40 45 .234/.279/.341 .107.272 94 18% 5% 71 -0.3 .222/.269/.305 .083.288 65 24% 6% 57 -1.2 .205/.249/.232.027.2840026%6%25-0.8
Audry Pérez
2013 · AA
24 46 43→45 47→40 37 .227/.248/.329 .102.269 113 21% 2% 54 -1.4 .218/.237/.308 .090.258 93 19% 2% 44 -2.1 .256/.288/.374.118.29515019%4%80+0.1
Tomás Nido
2018 · AA
24 47→44 42→45 44→30 41 .232/.267/.337 .105.283 92 22% 4% 65 -0.7 .226/.262/.340 .114.281 113 23% 4% 63 -0.8 .224/.260/.319.095.2949126%4%53-0.6
Pedro Lopez
2007 · AAA
23 49→56 42→40 41→45 42 .239/.269/.339 .100.266 106 15% 3% 66 -0.6 .240/.278/.319 .079.280 66 16% 5% 64 -0.8 .244/.286/.291.047.2813513%5%57-0.6
David Nick
2013 · AA
23 46→52 41→45 46→50 41 .225/.264/.322 .097.273 88 21% 4% 59 -1.1 .223/.257/.332 .109.285 109 25% 4% 59 -1.1 .222/.252/.338.116.28612826%4%55-0.8
Adolfo Gonzalez
2008 · AA
23 48 41→40 45 39 .234/.272/.334 .100.305 87 26% 4% 66 -0.6 .240/.273/.329 .089.328 67 27% 4% 65 -0.7 .249/.275/.326.077.3405527%3%61-0.4
Jett Bandy
2014 · AA
24 43 43→50 44→45 41 .213/.268/.329 .117.248 103 19% 4% 65 -0.7 .222/.280/.353 .131.262 153 21% 5% 76 +0.1 .221/.281/.357.135.25817221%4%76+0.0
Diego Madero
2014 · AAA
22 49→51 41→45 47→50 40 .239/.269/.332 .093.285 911 20% 4% 64 -0.8 .241/.278/.334 .093.279 714 16% 4% 68 -0.5 .253/.296/.353.099.286101715%5%77+0.1
Kevin Flores
2008 · AAA
23 46→51 44→45 47→45 41 .226/.267/.341 .115.281 119 24% 5% 66 -0.6 .224/.270/.308 .084.283 69 22% 5% 58 -1.2 .272/.310/.368.096.31311017%4%88+0.5
Michael Almanzar
2014 · AA
23 45→50 44→50 47→45 39 .225/.265/.343 .117.281 129 25% 4% 66 -0.6 .218/.261/.326 .108.276 116 24% 4% 60 -1.0 .199/.240/.292.094.2549225%4%40-1.6