Sonny DiChiara1B Rocket City Trash Pandas
Age 27 R/R 6'1" / 263 lbs AA HR -5% Svc 0.0 · Ctrl thru 2034
wRC+†60
AVG/OBP/SLG.180 / .265 / .309
PA170
HR5
K%40
BB%9
MLB%2%
BAT: -7.7 runs (wOBA-derived runs vs avg)-8BATRUN: +0.0 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -3.0 runs (Positional adjustment)-3POSREP: +4.8 runs (Replacement-level credit)+5REPTotal WAR: -0.60-0.6WAR
Scouting · nowfuture
HIT
2020
PWR
4545
SPD
4343
EYE
5353
trajectory · 10 yrs
-0.6peak
2026

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
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Ext / FA-deal$0.2M
2033Ext / FA-deal$0.4M
2034Extbeyond projection horizon · no WAR estimate
Totals $-16M $-32M -$16M

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
202223 AARocket City Trash Pandas 149127 20201 16706 11 .157.282.197.479 .039.339 4711 .222 28 -12 -0 +0 -3 +4 -1.1
202324 AA2 teams 394350 661409 3017110 00 .189.272.306.578 .117.328 438 .254 53 -21 +0 +0 -7 +11 -1.7
202425 A3 teams 413362 6615011 371768 20 .182.273.315.588 .133.306 439 .260 57 -20 +0 +0 -7 +12 -1.6
202526 AARocket City Trash Pandas 121106 11303 11473 00 .104.208.217.425 .113.140 399 .202 13 -12 +0 +0 -2 +3 -1.1
▸ 2026 Season
202627 MLBLAA 170150 28605 15683 10 .187.274.327.600 .140.287 409 .264 60 -8 +0 +0 -3 +5 -0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202728 MLB 9%LAA 259230 43907 231004 20 .187.272.317.590 .130.288 399 .269 64 -11 +0 -1 -5 +7 -0.8
202829 MLB 19%LAA 299266 511018 261135 30 .192.276.327.603 .135.287 389 .271 65 -12 +1 -1 -5 +8 -1.0
202930 MLB 29%LAA 325288 561119 291215 30 .194.280.333.613 .139.286 379 .270 65 -13 +1 -2 -6 +9 -1.1
203031 MLB 43%LAA 318282 541118 281195 20 .191.276.323.599 .131.285 379 .268 63 -13 +0 -3 -6 +9 -1.3
203132 MLB 57%LAA 305271 501017 271154 20 .185.268.306.574 .122.283 389 .263 60 -14 +0 -4 -5 +9 -1.4
203233 MLB 74%LAA 278248 45907 241074 10 .181.264.302.567 .121.281 389 .258 55 -14 +0 -4 -5 +8 -1.5
203334 MLB 92%LAA 237212 36705 20933 10 .170.251.274.525 .104.279 398 .251 51 -13 +0 -5 -4 +7 -1.6
▸ Career Totals (MLE all levels + projections)
Career 32682892 526107480 286130060 181 .182.269.305.574 .123.291 409 .259 56 -162 +3 -20 -58 +93 -14.7
/ 162G 650575 10521116 5725912 40 .183.270.306.576 .123.293 409 .259 56 -32 +1 -4 -12 +18 -2.9

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
202223 AARocket City Trash Pandas 149118 23201 25556 11 .195.362.237.600 .042.355 3717 .299 87 -2 -0 +4 0.2
202324 AARocket City Trash Pandas 330282 631308 381147 00 .223.330.355.685 .131.337 3512 .312 97 -1 +0 +9 0.8
202324 INTLScottsdale Scorpions 6457 10002 3283 00 .175.254.281.535 .105.286 445 .245 46 -4 +0 +2 -0.2
202425 AAASalt Lake Bees 6152 6200 6271 10 .115.220.154.374 .038.231 4410 .182 -2 -7 +0 +2 -0.5
202425 A+Tri-City Dust Devils 11596 32504 15222 00 .333.434.510.944 .177.389 1913 .413 174 +10 +0 +3 1.3
202425 AInland Empire 66ers 237194 431408 36795 10 .222.357.418.775 .196.321 3315 .348 124 +7 +0 +7 1.4
202526 AARocket City Trash Pandas 121100 13304 17373 00 .130.275.280.555 .150.150 3114 .262 59 -6 +0 +3 -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
Sonny DiChiara (OGILVIE) 27 20 45 43 53 .180/.265/.309 .129.287 51 40% 9% 60 -0.3
Caleb Hamilton
2022 · AAA
27 36 44→45 46→45 43 .181/.257/.295 .114.275 129 37% 9% 52 -1.6 .181/.267/.319 .138.277 186 38% 10% 63 -0.9 .145/.237/.274.129.20919339%10%37-0.8
Jacob Heyward
2022 · AA
26 38→40 50 42→50 44 .192/.286/.345 .153.293 188 38% 10% 78 +0.2 .193/.266/.328 .135.309 175 40% 8% 64 -0.8 .160/.236/.267.107.26515143%8%34-1.7
Brock Kjeldgaard
2013 · AA
27 40→43 50 46→45 36 .198/.266/.349 .150.316 187 41% 7% 69 -0.4 .192/.271/.343 .151.290 205 38% 8% 70 -0.3 .169/.253/.323.154.23823038%8%56-1.2
Joe DeCarlo
2021 · AA
27 40→38 43→50 47→30 40 .197/.265/.308 .111.291 115 34% 7% 58 -1.2 .199/.260/.292 .093.305 96 35% 7% 51 -1.7 .163/.224/.224.061.2498036%7%16-1.3
Davis Wendzel
2023 · AAA
26 35→28 49→50 43→40 41 .191/.255/.331 .140.253 185 32% 7% 60 -1.0 .195/.273/.341 .146.245 195 28% 8% 71 -0.3 .191/.275/.335.144.22919426%8%68-0.4
Richie Shaffer
2018 · MLB
27 37→39 51→55 46→40 41 .196/.268/.351 .156.281 205 36% 8% 71 -0.3 .183/.247/.322 .139.302 176 43% 7% 54 -1.4 .118/.176/.240.122.20315049%6%1-2.1
Dustin Geiger
2019 · AA
27 38→47 45→50 47→40 39 .195/.256/.315 .120.286 136 35% 6% 56 -1.3 .205/.270/.325 .120.330 127 38% 7% 65 -0.7 .168/.241/.293.125.28613043%7%41-0.5
Devin Harris
2015 · AA
27 38→39 51→55 43→40 37 .205/.251/.370 .165.274 193 33% 5% 68 -0.5 .212/.257/.366 .154.289 186 32% 5% 69 -0.4 .198/.244/.354.156.26119432%5%57-0.9
Jake Means
2023 · AA
27 35→30 47→45 50→45 43 .183/.260/.318 .135.266 159 36% 9% 59 -1.1 .181/.252/.301 .120.260 1410 34% 8% 51 -1.7 .130/.207/.227.097.17215834%8%11-2.0
Kiel Roling
2013 · AA
26 38→36 51→55 42→30 36 .204/.251/.356 .152.286 203 36% 6% 65 -0.7 .213/.262/.374 .161.285 204 32% 6% 74 -0.1 .200/.251/.369.169.25422030%6%67-0.4
McCarthy Tatum
2023 · AA
27 36→25 45→55 48→50 35 .184/.240/.304 .120.279 139 38% 5% 46 -2.0 .211/.271/.326 .115.298 1010 31% 5% 66 -0.6 .215/.285/.308.094.2976928%4%64-0.2
Logan Hill
2019 · AA
26 39→40 50 41→45 39 .205/.267/.356 .151.290 195 35% 6% 72 -0.2 .209/.270/.357 .148.300 184 35% 7% 73 -0.1 .198/.259/.343.145.27917134%6%62-0.8
Nellie Rodriguez
2019 · AAA
25 36→40 49→50 46→30 37 .184/.252/.328 .145.309 182 44% 8% 58 -1.2 .190/.249/.334 .144.335 184 46% 7% 58 -1.2 .154/.214/.297.144.26820049%7%33-1.5
Matt Fields
2012 · AA
27 40→41 46→60 46→45 31 .196/.245/.319 .123.325 144 43% 5% 52 -1.6 .199/.259/.382 .183.331 265 45% 6% 76 +0.0 .185/.246/.373.188.28927345%6%64-0.5
Craig Dedelow
2022 · AA
27 35→34 48→50 43→45 35 .186/.240/.326 .140.284 175 40% 6% 52 -1.6 .185/.258/.341 .156.335 1911 47% 8% 64 -0.8 .157/.241/.320.162.292211450%9%50-1.6
Landon Stephens
2023 · AA
25 32→29 51→55 42→40 38 .174/.254/.327 .153.277 205 43% 8% 59 -1.1 .190/.273/.382 .192.303 275 44% 9% 82 +0.5 .166/.260/.397.231.24735247%10%77+0.1
Camden Duzenack
2022 · AAA
27 35→37 49→50 50 35 .190/.239/.328 .138.268 189 36% 5% 52 -1.6 .214/.262/.346 .132.279 1411 28% 5% 66 -0.6 .215/.267/.343.129.269141025%5%65-0.4
Kevin Keyes
2016 · AAA
27 39→42 46→50 40→45 38 .204/.253/.325 .121.279 164 32% 6% 57 -1.2 .198/.259/.312 .114.287 134 34% 7% 56 -1.3 .157/.231/.264.107.23812137%8%31-1.9
Jimmy Kerrigan
2021 · AAA
27 38→39 48→50 45→50 33 .200/.243/.334 .134.283 1711 35% 4% 55 -1.4 .213/.265/.360 .147.331 1813 39% 5% 72 -0.2 .200/.254/.351.152.317201342%5%63-0.6
Neil Medchill
2013 · AA
26 38→27 48→50 46→45 35 .190/.246/.323 .134.309 167 42% 7% 54 -1.4 .212/.267/.327 .115.349 127 40% 6% 63 -0.9 .206/.263/.291.085.34410540%6%50-0.7