Yovanny Cuevas

PosCF
B/TR/R
Born1998-07-28
Age (2027)29
No MLB projection yet. Career stats below are historical.
Overview
ROKLAST SEASON 2021
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201820ROKAZL Cubs 1206.221/.333/.2730719—.165/.244/.203
201921ROKAZL Cubs 1100.329/.459/.5444795—.244/.337/.395
202123ROKCHC66.239/.462/.4571170—.167/.308/.333
Contract
No contract data on file.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.
basis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral
Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

YearAge LvlTeam MLB% PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
201517 ROKDSL Cubs — 253212 551532 27468 136 259363387750 127323 1811 335 36 — — — — — —
201618 ROKDSL Cubs 2 — 248198 45913 373511 2010 227378328706 101263 1415 332 34 — — — — — —
201719 ROKAZL Cubs — 9381 19610 9151 40 235319333652 99279 1610 292 32 — — — — — —
201820 ROKAZL Cubs 1 — 206172 38710 25404 75 221333273607 52286 1912 282 19 — — — — — —
201921 ROKAZL Cubs 1 — 10079 26504 15224 72 3294595441.003 215415 2215 435 95 — — — — — —
202123 ROKACL Cubs — 6646 11321 19190 12 239462457918 217370 2929 408 70 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201517 ROK MLEDSL Cubs — 253221 37921 19568 136 167258240498 72213 228 222 36 — — — — — —
201618 ROK MLEDSL Cubs 2 — 248209 30611 264311 2010 144272196469 53169 1710 219 34 — — — — — —
201719 ROK MLEAZL Cubs — 9384 15410 6221 40 179242250492 71223 246 216 32 — — — — — —
201820 ROK MLEAZL Cubs 1 — 206182 30510 15584 75 165244203447 38221 287 197 19 — — — — — —
201921 ROK MLEAZL Cubs 1 — 10086 21403 8324 72 244337395732 151320 328 309 95 — — — — — —
202123 ROK MLEACL Cubs — 6654 9221 11280 12 167308333641 167280 4217 271 70 — — — — — —
201517 ROK MLEDSL Cubs — 253221 37921 19568 136 167258240498 72220 228 222 36 — — — — — —
201517 ROK RAWDSL Cubs — 253212 551532 27468 136 259363387750 127323 1811 335 36 — — — — — —
201618 ROK MLEDSL Cubs 2 — 248209 30611 264311 2010 144272196469 53176 1710 219 34 — — — — — —
201618 ROK RAWDSL Cubs 2 — 248198 45913 373511 2010 227378328706 101263 1415 332 34 — — — — — —
201719 ROK MLEAZL Cubs — 9384 15410 6221 40 179242250492 71234 246 216 32 — — — — — —
201719 ROK RAWAZL Cubs — 9381 19610 9151 40 235319333652 99279 1610 292 32 — — — — — —
201820 ROK MLEAZL Cubs 1 — 206182 30510 15584 75 165244203447 38240 287 197 19 — — — — — —
201820 ROK RAWAZL Cubs 1 — 206172 38710 25404 75 221333273607 52286 1912 282 19 — — — — — —
201921 ROK MLEAZL Cubs 1 — 10086 21403 8324 72 244337395732 151353 328 309 95 — — — — — —
201921 ROK RAWAZL Cubs 1 — 10079 26504 15224 72 3294595441.003 215415 2215 435 95 — — — — — —
202123 ROK MLEACL Cubs — 6654 9221 11280 12 167308333641 167308 4217 271 70 — — — — — —
202123 ROK RAWACL Cubs — 6646 11321 19190 12 239462457918 217370 2929 408 70 — — — — — —
201517 ROK MLEDSL Cubs — 253224 37921 19568 136 165258237495 71213 228 222 36 — — — — — —
201618 ROK MLEDSL Cubs 2 — 248209 30611 264311 2010 144272196469 53169 1710 219 34 — — — — — —
201719 ROK MLEAZL Cubs — 9386 15410 6221 40 174242244486 70223 246 216 32 — — — — — —
201820 ROK MLEAZL Cubs 1 — 206185 30510 15584 75 162244200444 38221 287 197 19 — — — — — —
201921 ROK MLEAZL Cubs 1 — 10088 21403 8324 72 239337386723 148320 328 309 95 — — — — — —
202123 ROK MLEACL Cubs — 6655 9221 11280 12 164308327635 164280 4217 271 70 — — — — — —
▸ Career Totals
Career— MLE — 966836 1423076 8523928 5225 170269244513 74229 259 228 40 -69 +0 +0 +3 +21 -4.5
/ 162G— MLE — 650563 962054 5716119 3517 171270245515 75229 259 228 40 -46 +0 +0 +2 +14 -3.0

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2021 ROKACL Cubs · 66 PAwOBA .406 → .271 (−135)K% 28.8% → 41.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.79%÷0.992×1.440——41.77%
BB% (unintentional) /PA28.79%÷1.071×0.620—×0.96516.08%
HBP% /PA0.00%—×0.720—×0.9650.00%
Singles /BIP18.52%÷1.002×0.820—×0.96514.63%
Doubles /BIP11.11%÷0.947×0.720—×0.9658.15%
Triples /BIP7.41%÷0.947×0.720—×0.9655.43%
Home runs /BIP3.70%÷1.014×0.780—×0.9652.75%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 100, 2B 89, 3B 89, K 98, BB 114 — applied at half strength. Age: age 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .406 → .271; ISO .217 → .165; BABIP .370 → .280. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 ROKAZL Cubs 1 · 100 PAwOBA .422 → .309 (−113)K% 22.0% → 31.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.00%÷1.000×1.440——31.68%
BB% (unintentional) /PA14.00%÷1.000×0.620—×0.9858.55%
HBP% /PA4.00%—×0.720—×0.9852.84%
Singles /BIP29.82%÷1.000×0.820—×0.98524.09%
Doubles /BIP8.77%÷1.000×0.720—×0.9856.22%
Triples /BIP0.00%÷1.000×0.720—×0.9850.00%
Home runs /BIP7.02%÷1.000×0.780—×0.9855.39%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .422 → .309; ISO .215 → .161; BABIP .415 → .320. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 ROKAZL Cubs 1 · 206 PAwOBA .277 → .197 (−80)K% 19.4% → 28.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.42%÷1.000×1.440——27.96%
BB% (unintentional) /PA12.14%÷1.000×0.620—×0.9957.49%
HBP% /PA1.94%—×0.720—×0.9951.39%
Singles /BIP22.73%÷1.000×0.820×0.975×0.99518.08%
Doubles /BIP5.30%÷1.000×0.720×0.975×0.9953.70%
Triples /BIP0.76%÷1.000×0.720×0.975×0.9950.53%
Home runs /BIP0.00%÷1.000×0.780—×0.9950.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .277 → .197; ISO .052 → .036; BABIP .286 → .221. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2017 ROKAZL Cubs · 93 PAwOBA .292 → .216 (−76)K% 16.1% → 23.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.13%÷1.000×1.440——23.23%
BB% (unintentional) /PA9.68%÷1.000×0.620—×1.0086.04%
HBP% /PA1.08%—×0.720—×1.0080.78%
Singles /BIP18.18%÷1.000×0.820×1.013×1.00815.21%
Doubles /BIP9.09%÷1.000×0.720×1.013×1.0086.68%
Triples /BIP1.52%÷1.000×0.720×1.013×1.0081.11%
Home runs /BIP0.00%÷1.000×0.780—×1.0080.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .292 → .216; ISO .099 → .072; BABIP .279 → .223. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 DSLDSL Cubs 2 · 248 PAwOBA .324 → .219 (−105)K% 14.1% → 17.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.11%÷1.000×1.220——17.22%
BB% (unintentional) /PA14.92%÷1.000×0.700—×1.00810.52%
HBP% /PA4.44%—×0.700—×1.0083.13%
Singles /BIP19.63%÷1.000×0.680×0.976×1.00813.12%
Doubles /BIP5.52%÷1.000×0.600×0.976×1.0083.26%
Triples /BIP0.61%÷1.000×0.600×0.976×1.0080.36%
Home runs /BIP1.84%÷1.000×0.470—×1.0080.87%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .324 → .219; ISO .101 → .057; BABIP .263 → .169. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 DSLDSL Cubs · 253 PAwOBA .326 → .222 (−104)K% 18.2% → 22.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.18%÷1.000×1.220——22.18%
BB% (unintentional) /PA10.67%÷1.000×0.700—×1.0227.64%
HBP% /PA3.16%—×0.700—×1.0222.26%
Singles /BIP21.08%÷1.000×0.680×0.994×1.02214.57%
Doubles /BIP9.04%÷1.000×0.600×0.994×1.0225.51%
Triples /BIP1.81%÷1.000×0.600×0.994×1.0221.10%
Home runs /BIP1.20%÷1.000×0.470—×1.0220.58%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .326 → .222; ISO .127 → .077; BABIP .323 → .213. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).