Edwin Rios1B Louisville Bats
Age 32 L/R 6'3" / 220 lbs AAA HR +9%K -4% Svc 7.000 · Ctrl thru 2026 peak 1.2 · 2026
wRC+†104
AVG/OBP/SLG.220 / .293 / .434
PA350
HR17
K%37
BB%8
MLB%10%
BAT: +1.7 runs (wOBA-derived runs vs avg)+2BATRUN: -0.4 runs (SB/CS + UBR baserunning)-0RUNFLD: -0.5 runs (Defensive runs vs avg)-0FLDPOS: +1.2 runs (Positional adjustment)+1POSREP: +9.9 runs (Replacement-level credit)+10REPTotal WAR: +1.20+1.2WAR
Scouting · nowfuture
HIT
4040
PWR
6060
SPD
4545
EYE
5055
trajectory · 10 yrs
0.4peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2019
Service   7.000 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$2M+1.2$10M+$8M
Totals $2M $10M +$8M

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
201521 ROKOgden Raptors 8278 12402 4430 01 .154.195.282.477 .128.303 525 .198 10 -8 -0 +0 +0 +2 -0.6
201622 A+3 teams 451426 10120123 161454 31 .237.271.451.722 .214.297 324 .304 91 -5 +0 +0 +2 +13 1.0
201723 AA2 teams 522491 11926017 191477 12 .242.280.399.680 .157.307 284 .296 85 -9 -1 +0 +2 +15 0.7
201824 AAAOklahoma City Dodgers 341318 751807 141474 01 .236.277.358.635 .123.402 434 .277 70 -11 -0 +0 +1 +10 -0.1
201925 AAA2 teams 500451 8818324 352168 22 .195.265.408.673 .213.295 437 .290 80 -11 -0 -1 -9 +14 -0.8
202026 MLBLos Angeles Dodgers 8376 18607 4182 00 .237.293.592.885 .355.212 225 .376 146 +4 +0 -0 +0 +2 0.7
202127 MLBLos Angeles Dodgers 6051 4001 7182 00 .078.217.137.354 .059.094 3012 .179 -5 -7 +0 +1 -1 +2 -0.6
202228 AAA2 teams 310282 6015013 181206 02 .213.275.404.679 .191.307 396 .295 84 -6 -1 -1 +1 +9 0.2
202329 AAA3 teams 288253 491308 261106 00 .194.284.340.624 .146.297 389 .279 72 -9 +0 +0 +1 +8 -0.0
202430 AAALouisville Bats 421381 8924016 351413 20 .234.303.423.726 .189.323 338 .317 101 +0 +0 +0 -8 +12 0.5
202531 AAA2 teams 567511 10319224 452305 01 .202.273.387.660 .186.300 418 .287 78 -14 -0 +0 +2 +16 0.4
▸ 2026 Season
202632 MLBCIN 350314 6914117 291314 11 .220.294.433.727 .213.310 378 .322 104 +2 -0 -0 +1 +10 1.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202733 MLB 20%CIN 350315 6914117 291333 00 .219.291.432.723 .213.309 388 .315 100 -0 +0 -5 +1 +10 0.6
202834 MLB 33%CIN 306275 5912114 251193 00 .215.287.418.705 .204.306 398 .308 94 -2 +0 -5 +1 +9 0.2
▸ Career Totals (MLE all levels + projections)
Career 46314222 9152039190 306171857 911 .217.279.404.683 .187.308 377 .297 85 -77 -3 -12 -4 +131 3.6
/ 162G 650593 12828127 432418 12 .216.278.403.681 .187.305 377 .297 85 -11 -1 -2 -1 +18 0.5

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
201521 ROKOgden Raptors 8275 19703 7300 01 .253.317.467.784 .213.381 379 .345 122 +2 -0 +2 0.4
201622 AATulsa Drillers 135122 31705 8312 00 .254.311.434.745 .180.292 236 .323 106 +1 +0 +4 0.5
201622 A+Rancho Cucamonga Quakes 188177 6511116 8351 00 .367.398.7121.110 .345.383 194 .473 220 +25 +0 +5 3.1
201622 AGreat Lakes Loons 128119 30816 8441 31 .252.305.487.792 .235.348 346 .346 123 +3 +0 +4 0.7
201723 AAAOklahoma City Dodgers 190169 501309 18422 01 .296.370.533.903 .237.345 229 .394 159 +13 -0 +5 1.8
201723 AATulsa Drillers 332306 9721015 17695 11 .317.363.533.895 .216.363 215 .388 155 +21 -0 +9 3.1
201824 AAAOklahoma City Dodgers 341309 9425010 231104 01 .304.360.482.842 .178.433 327 .367 139 +15 -0 +10 2.5
201925 MLBLos Angeles Dodgers 5647 13214 9210 00 .277.393.6171.010 .340.409 3816 .432 189 +6 +0 -1 -9 +2 -0.3
201925 AAAOklahoma City Dodgers 444393 10623231 371538 22 .270.345.575.920 .305.349 348 .392 158 +29 -0 +13 4.2
202026 MLBLos Angeles Dodgers 8376 19608 4182 00 .250.305.645.950 .395.216 225 .399 164 +6 +0 -0 +0 +2 0.9
202127 MLBLos Angeles Dodgers 6051 4001 7182 00 .078.217.137.354 .059.094 3012 .186 0 -7 +0 +1 -1 +2 -0.6
202228 MLBLos Angeles Dodgers 9286 21107 5361 01 .244.293.500.793 .256.326 395 .346 123 +2 -0 -1 +1 +3 0.4
202228 AAAOklahoma City Dodgers 218189 491709 20665 01 .259.346.492.838 .233.339 309 .362 135 +9 -0 +6 1.5
202329 MLBChicago Cubs 3428 2101 5161 00 .071.235.214.450 .143.091 4715 .223 29 -3 +0 +0 +1 +1 -0.1
202329 AAAIowa Cubs 176152 401106 20544 00 .263.364.454.818 .191.370 3111 .365 138 +8 +0 +5 1.3
202329 INTLIndios de Mayaguez 7867 17400 7231 00 .254.333.313.647 .060.362 299 .289 79 -2 +0 +2 0.0
202430 AAALouisville Bats 421360 10328022 561173 20 .286.387.547.934 .261.363 2813 .406 169 +33 +0 +12 4.6
202531 AAALouisville Bats 546472 11623226 631805 01 .246.341.468.809 .222.331 3312 .354 129 +18 -0 +15 3.4
202531 INTLIndios de Mayaguez 2117 2002 470 00 .118.286.471.756 .353.000 3319 .331 112 +0 +0 +1 0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career 325288 5910121 301096 01 .205.293.465.758 .260.239 349 .332 112 +5 -0 -2 -8 +9 0.4

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
Edwin Rios (OGILVIE) 32 40 60 45 55 .220/.293/.434 .214.310 171 37% 8% 104 +1.2
Chris Carter
2019 · MLB
32 36→46 62→65 48→45 46 .208/.292/.435 .227.267 314 35% 10% 103 +1.9 .232/.334/.505 .273.301 384 35% 12% 138 +4.4 .225/.351/.543.318.27146135%15%153+4.9
Mike Hessman
2010 · MLB
32 36→37 60→65 41→45 42 .205/.281/.420 .215.274 295 36% 8% 95 +1.4 .201/.268/.397 .196.259 264 33% 7% 83 +0.6 .195/.260/.385.189.23626330%7%75-0.0
Trayce Thompson
2023 · MLB
32 43→47 63→65 48→50 45 .230/.307/.464 .234.310 328 35% 9% 117 +2.9 .209/.284/.397 .188.298 2510 36% 9% 89 +1.0 .179/.252/.334.155.257211137%8%58-0.6
Matt Adams
2021 · MLB
32 41→51 61→65 46→40 43 .232/.290/.448 .215.276 313 29% 7% 105 +2.1 .219/.274/.371 .152.290 196 30% 7% 78 +0.2 .190/.228/.322.132.26019035%4%42-1.5
Matt Davidson
2022 · MLB
31 39→44 60 46→30 39 .220/.280/.427 .207.285 293 34% 6% 96 +1.5 .233/.307/.446 .213.306 314 33% 7% 112 +2.6 .218/.307/.433.215.28034034%8%105+1.4
Patrick Wisdom
2023 · MLB
31 39→45 64→70 46→50 45 .219/.303/.462 .243.291 339 36% 9% 115 +2.7 .218/.298/.468 .250.284 3410 35% 9% 115 +2.7 .202/.282/.474.273.244391136%9%109+1.0
Dallas McPherson
2011 · MLB
31 41→44 60→65 48→50 40 .221/.283/.434 .213.308 298 37% 8% 99 +1.7 .227/.272/.393 .166.324 225 35% 6% 82 +0.5 .222/.267/.377.156.31821336%6%73-0.1
Kyle Garlick
2023 · MLB
31 43→48 58→60 49→40 40 .234/.290/.430 .196.296 276 31% 6% 101 +1.8 .197/.266/.352 .155.282 214 36% 7% 70 -0.3 .170/.244/.307.137.24619238%8%49-1.5
Chris Davis
2018 · MLB
32 43→53 63→70 41→40 52 .230/.330/.461 .230.303 322 34% 12% 125 +3.5 .193/.279/.347 .154.279 213 36% 10% 75 -0.0 .170/.256/.298.128.25118138%9%49-1.3
Brandon Moss
2016 · MLB
32 46→51 60→65 44→45 51 .244/.328/.463 .219.295 283 27% 10% 124 +3.4 .229/.305/.455 .226.281 313 30% 9% 114 +2.7 .216/.292/.459.242.25735231%9%106+1.5
Daniel Palka
2023 · AAA
31 43 55→60 45→50 46 .231/.292/.412 .181.284 245 28% 8% 96 +1.5 .221/.276/.380 .159.283 216 29% 7% 82 +0.5 .199/.255/.342.143.25220429%6%58-0.8
ByungHo Park
2017 · MLB
31 37→42 61→65 49→30 42 .215/.288/.433 .218.262 305 31% 7% 102 +1.8 .217/.269/.375 .158.297 204 33% 5% 77 +0.1 .211/.251/.339.128.30116034%4%56-1.0
Mitch Jones
2010 · MLB
32 40 63→65 50→45 41 .229/.287/.465 .236.280 3210 32% 7% 109 +2.4 .214/.258/.397 .183.267 239 29% 5% 79 +0.3 .191/.228/.354.164.23420728%4%53-1.1
Victor Diaz
2013 · AAA
31 45→51 61→60 45→50 43 .238/.309/.453 .215.323 3011 35% 8% 115 +2.7 .225/.284/.370 .145.378 188 42% 7% 82 +0.5 .218/.284/.340.122.46016051%7%69-0.1
Pedro Álvarez
2018 · MLB
31 43→47 59→65 48→45 45 .235/.291/.437 .203.277 283 27% 7% 103 +1.9 .232/.285/.414 .182.285 264 28% 7% 94 +1.3 .224/.285/.403.179.26829028%8%89+0.5
Matt Clark
2019 · AAA
32 45 54→60 44→30 42 .236/.286/.411 .175.295 235 28% 6% 93 +1.3 .245/.305/.459 .214.291 285 26% 7% 115 +2.7 .242/.309/.492.250.27134025%8%127+2.0
Lucas Duda
2019 · MLB
33 42→52 62→65 47→30 50 .234/.317/.462 .228.274 303 27% 10% 120 +3.1 .217/.290/.388 .171.280 225 30% 8% 89 +1.0 .161/.232/.282.121.21516033%7%37-1.0
Bryan LaHair
2014 · MLB
31 50→54 59→65 46→40 46 .257/.320/.468 .211.328 286 30% 9% 123 +3.3 .208/.271/.318 .110.288 105 29% 8% 63 -0.9 .185/.249/.269.084.2596129%8%37-2.0
Mark Trumbo
2018 · MLB
32 46→51 60→65 48→45 46 .250/.304/.457 .207.288 292 25% 7% 114 +2.7 .245/.301/.433 .188.291 263 25% 7% 105 +2.1 .257/.311/.440.182.30227024%7%109+1.4
Luke Voit
2023 · MLB
32 45→55 57→60 43→30 46 .236/.313/.426 .191.304 262 31% 9% 109 +2.4 .231/.319/.416 .185.317 246 32% 10% 109 +2.4 .208/.318/.412.204.28327434%12%103+0.9