Oscar ColásRF Rocket City Trash Pandas
Age 27 L/L 6'0" / 230 lbs AA HR -5% Svc 3.000 · Ctrl thru 2028
wRC+†70
AVG/OBP/SLG.213 / .269 / .347
PA350
HR9
SB5
K%29
BB%6
MLB%2%
BAT: -11.9 runs (wOBA-derived runs vs avg)-12BATRUN: +0.6 runs (SB/CS + UBR baserunning)+1RUNFLD: -2.3 runs (Defensive runs vs avg)-2FLDPOS: -3.8 runs (Positional adjustment)-4POSREP: +9.9 runs (Replacement-level credit)+10REPTotal WAR: -0.80-0.8WAR
Scouting · nowfuture
HIT
3535
PWR
5050
SPD
4545
EYE
4440
trajectory · 10 yrs
-0.5peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-1
MLB Debut   2023
Service   3.000 yrs.days
Team Control Through   2028
First FA Year   2029
YearStatusSalary Proj WAR Value Surplus
2026Arb-1$0.2M
2027Arb-2$0.4M
2028Arb-3$0.6M
Totals $-12M $-12M +$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
202223 A+3 teams 526497 13019319 221616 34 .262.301.427.728 .165.349 314 .311 96 -2 -1 +0 -6 +15 0.6
202324 MLB2 teams 501466 10420012 261364 63 .223.270.343.614 .120.287 275 .267 63 -21 +0 -2 -5 +14 -1.5
202425 AAA2 teams 502454 971849 361405 129 .214.279.330.609 .117.282 287 .270 64 -20 -1 -1 -5 +14 -1.3
202526 AA3 teams 467434 7411315 281512 52 .171.224.313.538 .143.218 326 .229 34 -35 +0 +0 -5 +13 -2.7
▸ 2026 Season
202627 MLBLAA 350322 691229 231022 51 .214.271.348.619 .134.281 297 .277 70 -12 +1 -2 -4 +10 -0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202728 MLB 9%LAA 392361 7714210 261152 51 .213.270.346.616 .133.280 297 .275 69 -14 +1 -3 -4 +11 -1.0
202829 MLB 19%LAA 390359 7714210 261152 41 .214.271.348.620 .134.279 297 .273 67 -14 +0 -4 -4 +11 -1.1
202930 MLB 29%LAA 388357 7513210 261162 31 .210.268.342.609 .132.278 307 .270 65 -15 +0 -5 -4 +11 -1.3
203031 MLB 40%LAA 373343 721329 251132 20 .210.268.338.606 .128.276 307 .266 62 -16 +0 -5 -4 +11 -1.5
203132 MLB 54%LAA 354326 671228 231092 00 .206.262.328.590 .123.275 316 .262 59 -17 +0 -6 -4 +10 -1.7
203233 MLB 71%LAA 324298 591017 211022 00 .198.255.309.564 .111.273 316 .256 54 -17 +0 -6 -3 +9 -1.8
203334 MLB 89%LAA 280259 51916 18911 00 .197.252.309.561 .112.271 326 .250 50 -16 +0 -7 -3 +8 -1.8
▸ Career Totals (MLE all levels + projections)
Career 48474476 95216524124 300145132 4522 .213.267.343.610 .131.283 306 .268 64 -199 +0 -41 -52 +137 -15.8
/ 162G 650600 12822317 401954 63 .213.267.345.612 .132.283 306 .268 64 -27 +0 -6 -7 +18 -2.1

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 AAACharlotte Knights 3331 12202 2120 11 .387.424.6451.069 .258.588 366 .466 214 +4 -0 +1 0.5
202223 AABirmingham Barons 225206 639114 14545 12 .306.364.563.928 .257.355 246 .405 168 +17 -1 +6 2.3
202223 A+Winston-Salem Dash 268244 761337 22541 11 .311.371.475.846 .164.375 208 .374 144 +13 -0 +8 2.1
202324 MLBChicago White Sox 263245 53905 12712 43 .216.259.314.573 .098.281 275 .255 53 -14 -0 -2 -5 +7 -1.5
202324 AAACharlotte Knights 238213 581409 22532 20 .272.346.465.811 .192.322 229 .358 132 +9 +0 +7 1.6
202425 MLBChicago White Sox 3833 9000 4101 01 .273.368.273.641 .000.391 2611 .307 93 -0 -0 -1 -5 +1 -0.6
202425 AAACharlotte Knights 464402 9921411 511074 128 .246.337.400.737 .154.302 2311 .327 109 +5 -1 +13 1.7
202526 AAACharlotte Knights 4943 5400 6170 20 .116.224.209.434 .093.192 3512 .209 18 -5 +0 +1 -0.3
202526 AARocket City Trash Pandas 372336 737315 32901 31 .217.287.390.677 .173.248 249 .300 88 -5 +0 +11 0.6
202526 INTLAlgodoneros de Guasave 4643 7300 291 01 .163.217.233.450 .070.206 204 .209 18 -4 -0 +1 -0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career 301278 62905 16813 44 .223.273.309.582 .086.294 275 .262 58 -14 -1 -3 -11 +9 -2.1

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
Oscar Colás (OGILVIE) 27 35 50 45 40 .213/.269/.347 .134.281 95 29% 6% 70 -0.2
Jason Cooper
2008 · AAA
27 42→39 50→55 50→45 42 .214/.273/.375 .161.282 168 30% 7% 79 +0.3 .214/.282/.355 .141.270 128 24% 7% 77 +0.1 .209/.292/.354.145.25013321%8%80+0.2
Adam Calderone
2011 · AAA
27 40→41 48→50 45 39 .207/.252/.351 .145.263 158 28% 5% 63 -0.8 .202/.247/.329 .127.265 1212 28% 5% 55 -1.4 .164/.197/.262.099.20961625%4%13-1.0
Darick Hall
2022 · AAA
27 39→38 48→55 42→40 44 .203/.278/.351 .149.262 164 28% 7% 76 +0.0 .223/.279/.403 .180.271 244 27% 6% 89 +1.0 .220/.275/.394.174.26325327%6%82+0.4
Josh Lester
2021 · AAA
27 40→43 48→60 48→40 42 .207/.262/.346 .139.270 163 30% 7% 66 -0.6 .209/.257/.398 .189.266 255 31% 6% 79 +0.3 .203/.249/.394.191.25026431%5%71-0.2
Eric Duncan
2012 · AAA
27 41→43 48→50 45 38 .215/.252/.350 .135.269 165 27% 4% 63 -0.9 .225/.264/.360 .135.295 168 28% 4% 70 -0.3 .217/.247/.312.095.29610730%3%46-0.7
Matt Skole
2016 · AAA
27 39 47→50 44→40 47 .203/.277/.337 .134.268 164 30% 9% 71 -0.3 .200/.265/.347 .147.255 183 28% 8% 68 -0.5 .186/.263/.326.140.24717131%9%60-0.7
Mark Contreras
2022 · AAA
27 38 49→50 50→55 37 .194/.258/.343 .149.284 1615 36% 6% 65 -0.7 .203/.264/.339 .136.292 1623 35% 6% 66 -0.6 .192/.256/.306.115.275143034%6%50-1.2
John-Ford Griffin
2007 · AAA
27 41→39 52→55 45→40 41 .216/.268/.376 .160.272 204 29% 6% 77 +0.1 .219/.275/.380 .161.281 195 28% 7% 81 +0.4 .215/.276/.370.154.27717428%7%76+0.1
Steele Walker
2023 · MLB
27 41→46 46→45 47→50 43 .212/.264/.340 .127.253 1511 23% 6% 66 -0.6 .212/.268/.333 .121.264 1310 24% 6% 66 -0.6 .163/.228/.253.090.2059025%7%26-0.7
Aaron Rifkin
2007 · AAA
28 42→43 48→50 47→45 45 .216/.276/.361 .145.270 158 26% 7% 76 +0.1 .222/.273/.365 .143.300 156 30% 5% 76 +0.0 .217/.266/.358.142.29415331%5%69-0.4
Matt Cepicky
2006 · MLB
28 44→43 48→50 41→30 42 .224/.274/.370 .146.292 155 28% 6% 77 +0.1 .216/.267/.350 .134.285 144 28% 7% 69 -0.4 .204/.257/.337.133.27014229%7%62-0.6
Roger Kieschnick
2014 · MLB
27 44→46 49→55 48→45 40 .220/.272/.375 .155.303 167 32% 6% 78 +0.2 .206/.253/.344 .138.283 156 32% 6% 62 -0.9 .192/.235/.321.129.25915532%5%45-1.5
Bligh Madris
2023 · MLB
27 46→47 45→50 43→50 45 .230/.285/.361 .131.290 127 25% 7% 79 +0.3 .210/.279/.361 .151.275 1813 29% 8% 77 +0.1 .194/.270/.354.160.248211530%9%70-0.2
Jose Manuel Orozco
2019 · AAA
28 45 47→50 47→45 39 .224/.271/.354 .130.303 1510 31% 6% 72 -0.2 .234/.282/.385 .151.334 1710 34% 5% 85 +0.7 .237/.283/.399.163.34220635%5%87+0.4
Patrick Dorrian
2023 · AAA
27 38→37 50→55 47→45 41 .196/.266/.350 .154.290 196 38% 8% 70 -0.3 .196/.260/.343 .147.289 186 37% 7% 65 -0.7 .181/.245/.318.137.26118537%7%49-1.0
Connor Panas
2019 · AA
26 41→42 47→45 45→40 41 .208/.272/.337 .129.274 155 29% 6% 69 -0.4 .214/.278/.342 .128.278 138 27% 6% 72 -0.2 .177/.265/.331.155.21616626%8%60-0.2
Trey Amburgey
2022 · AAA
27 44 49→50 49→50 38 .225/.269/.378 .153.298 166 30% 5% 77 +0.1 .205/.255/.337 .132.304 157 36% 6% 61 -1.0 .151/.205/.263.113.21816238%6%18-1.4
Brett Carroll
2011 · MLB
28 40→45 48→55 45→50 43 .207/.279/.350 .143.260 168 27% 6% 76 +0.0 .214/.279/.353 .139.271 1610 26% 7% 76 +0.0 .207/.272/.347.140.262171127%7%68-0.3
Brian O'Grady
2019 · AAA
27 40→39 48→60 52→50 45 .204/.276/.351 .147.273 1513 30% 8% 74 -0.1 .217/.278/.403 .186.291 2315 32% 7% 89 +0.9 .201/.267/.390.189.270241734%7%78+0.2
Taylor Featherston
2017 · MLB
27 41→45 47→50 49→50 38 .209/.253/.343 .135.265 1411 27% 4% 62 -0.9 .190/.246/.310 .120.287 1311 37% 5% 50 -1.7 .164/.225/.278.114.280141044%5%31-1.9