Luis González

PosRF
B/TL/L
Born1995-09-10
Age (2027)31
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2024
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202226AAASF92.289/.407/.53964103—.238/.330/.400
202226MLBSF350.251/.325/.35741094-0.4
202327AAASF110.255/.358/.3621677—.235/.312/.327
202428AAA/INTL2 orgs169.306/.386/.44935114—.247/.322/.346
202529No MLB games played
202630No MLB games played
Last 3 seasons WAR -0.4
Contract
No contract data on file.
Skills · percentileStatcast 2020-2022
Speed68
xwOBA19
Avg EV14
Barrel%10

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)
201721 AKannapolis Intimidators — 277233 571342 38503 23 245358361718 116302 1814 326 57 — — — — — —
201721 ROKGreat Falls Voyagers — 2217 2100 430 00 118286176462 59143 1418 226 -16 — — — — — —
201822 A+Winston-Salem Dash — 288252 792436 27462 35 313383504887 190354 169 382 97 — — — — — —
201822 AKannapolis Intimidators — 255230 691628 21571 72 300361491852 191365 228 371 82 — — — — — —
201923 AABirmingham Barons — 535473 1171849 47895 179 247322359681 112281 179 304 59 — — — — — —
202125 AAACharlotte Knights — 163137 33407 22412 92 241354423777 182289 2513 346 66 — — — — — —
202226 MLBSan Francisco Giants — 350311 781724 30754 102 251325357682 106312 219 306 94 -2 +1 -5 -5 +8 -0.4
202226 AAASacramento River Cats — 9276 22106 15220 42 289407539946 250327 2416 411 103 — — — — — —
202327 AAASacramento River Cats — 11094 24511 13202 62 255358362720 106311 1812 328 77 — — — — — —
202428 AAAScranton/Wilkes-Barre RailRiders — 9178 22520 10242 30 282378397775 115400 2611 348 84 — — — — — —
202428 INTLNaranjeros de Hermosillo — 7869 23303 592 20 333395507902 174345 126 390 150 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 350311 781724 30754 102 251325357682 106312 219 306 93 -3 +1 -5 -5 +8 -0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201721 A MLEKannapolis Intimidators — 277245 481032 26683 23 196281286567 90257 259 252 57 — — — — — —
201721 ROK MLEGreat Falls Voyagers — 2219 2100 240 00 105190158348 53107 189 144 -16 — — — — — —
201822 A+ MLEWinston-Salem Dash — 288264 692025 16702 35 261309409718 148319 246 311 97 — — — — — —
201822 A MLEKannapolis Intimidators — 255237 581326 14781 72 245290392682 148323 315 289 82 — — — — — —
201923 AA MLEBirmingham Barons — 535486 1031637 341085 179 212270300571 88245 206 255 59 — — — — — —
202125 AAA MLECharlotte Knights — 163144 29304 15492 92 201286306591 104264 309 266 66 — — — — — —
202226 MLB MLESan Francisco Giants — 350312 791724 29754 102 253325359684 106312 218 308 94 -2 +1 -5 -5 +8 -0.4
202226 AAA MLESacramento River Cats — 9280 19104 11270 42 237330400730 163287 2912 321 103 — — — — — —
202327 AAA MLESacramento River Cats — 11098 23411 9222 62 235312327638 92286 208 282 77 — — — — — —
202428 AAA MLEScranton/Wilkes-Barre RailRiders — 9181 20420 7292 30 247322346668 99365 328 292 84 — — — — — —
201721 A MLE2 teams — 299264 491032 28733 23 186271269540 83247 249 244 51 — — — — — —
201721 A RAW2 teams — 299250 591442 42533 23 236353348701 112291 1814 319 51 — — — — — —
201822 A+ MLE2 teams — 543501 12733411 301483 107 253300401701 148331 276 301 90 — — — — — —
201822 A+ RAW2 teams — 543482 14840514 481033 107 307373498871 191359 199 377 90 — — — — — —
201923 AA MLEBirmingham Barons — 535486 1031637 341085 179 212270300571 88252 206 255 59 — — — — — —
201923 AA RAWBirmingham Barons — 535473 1171849 47895 179 247322359681 112281 179 304 59 — — — — — —
202125 AAA MLECharlotte Knights — 163144 29304 15492 92 201286306591 104272 309 266 66 — — — — — —
202125 AAA RAWCharlotte Knights — 163137 33407 22412 92 241354423777 182289 2513 346 66 — — — — — —
202226 MLB MLE2 teams — 442392 991829 401024 144 253328378706 125314 239 310 96 -2 +1 -5 -5 +10 -0.1
202226 MLB RAW2 teams — 442387 10018210 45974 144 258342393735 134315 2210 328 96 -2 +1 -5 -5 +10 -0.1
202327 AAA MLESacramento River Cats — 11098 23411 9222 62 235312327638 92289 208 282 77 — — — — — —
202327 AAA RAWSacramento River Cats — 11094 24511 13202 62 255358362720 106311 1812 328 77 — — — — — —
202428 AAA MLE2 teams — 169149 37740 13544 50 248325349674 101381 328 292 84 — — — — — —
202428 AAA RAW2 teams — 169147 45823 15334 50 306386449835 143372 209 368 84 — — — — — —
201721 A MLE2 teams — 299266 491032 28733 23 184271267538 83246 249 244 51 — — — — — —
201822 A+ MLE2 teams — 543505 12733411 301483 107 251300398698 147321 276 301 90 — — — — — —
201923 AA MLEBirmingham Barons — 535491 1031637 341085 179 210270297568 88245 206 255 59 — — — — — —
202125 AAA MLECharlotte Knights — 163145 29304 15492 92 200286303589 103264 309 266 66 — — — — — —
202226 MLB MLE2 teams — 442395 991829 401024 144 251328375703 124307 239 310 96 — — — — — —
202327 AAA MLESacramento River Cats — 11098 23411 9222 62 235312327638 92286 208 282 77 — — — — — —
202428 AAA MLE2 teams — 169150 37740 13544 50 247325347672 100365 328 292 84 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202428 AAA MLE2 teams — 169150 37740 13544 50 247325347672 100365 328 292 84 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 350311 781724 30754 102 251325357682 106312 219 306 76 -3 +1 -5 -5 +8 -0.4
/ 162G— A+C — 650578 1453247 561397 194 251324356681 106313 219 306 76 -5 +2 -10 -9 +14 -0.8
Career— MLE — 22612034 467911734 16955623 6327 230296341637 112294 257 280 76 -3 +1 -5 -5 +8 -0.4
/ 162G— MLE — 650585 13426510 491607 188 229297342639 113293 258 280 76 -5 +2 -10 -9 +14 -0.8

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.

2024 AAAScranton/Wilkes-Barre RailRiders · 91 PAwOBA .343 → .292 (−52)K% 26.4% → 32.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.37%÷0.990×1.200——31.95%
BB% (unintentional) /PA10.99%÷1.011×0.690—×0.9827.37%
HBP% /PA2.20%—×0.940—×0.9822.03%
Singles /BIP27.78%÷0.976×0.930×1.006×0.98226.13%
Doubles /BIP9.26%÷1.072×0.830×1.006×0.9827.08%
Triples /BIP3.70%÷0.900×0.970×1.006×0.9823.94%
Home runs /BIP0.00%÷1.045×0.700—×0.9820.00%

Factors used: league row International League. Park (home-season share, regressed): HR 109, 1B 95, 2B 114, 3B 80, K 98, BB 102 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.

Result: wOBA .343 → .292; ISO .115 → .102; BABIP .400 → .365. 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).

2023 AAASacramento River Cats · 110 PAwOBA .323 → .282 (−41)K% 18.2% → 20.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.18%÷1.087×1.200——20.07%
BB% (unintentional) /PA11.82%÷0.981×0.690—×0.9928.25%
HBP% /PA1.82%—×0.940—×0.9921.70%
Singles /BIP22.97%÷0.992×0.930×1.012×0.99221.62%
Doubles /BIP6.76%÷0.992×0.830×1.012×0.9925.68%
Triples /BIP1.35%÷0.956×0.970×1.012×0.9921.38%
Home runs /BIP1.35%÷1.057×0.700—×0.9920.89%

Factors used: league row International League. Park (home-season share, regressed): HR 111, 1B 98, 2B 98, 3B 91, K 117, BB 96 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .323 → .282; ISO .106 → .091; BABIP .311 → .286. 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).

2022 AAASacramento River Cats · 92 PAwOBA .405 → .321 (−84)K% 23.9% → 29.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.91%÷0.986×1.200——29.09%
BB% (unintentional) /PA16.30%÷0.984×0.690—×1.00311.47%
HBP% /PA0.00%—×0.940—×1.0030.00%
Singles /BIP27.78%÷0.968×0.930×0.950×1.00325.42%
Doubles /BIP1.85%÷0.967×0.830×0.950×1.0031.51%
Triples /BIP0.00%÷0.900×0.970×0.950×1.0030.00%
Home runs /BIP11.11%÷0.989×0.700—×1.0037.89%

Factors used: league row International League. Park (home-season share, regressed): HR 98, 1B 94, 2B 93, 3B 80, K 97, BB 97 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .405 → .321; ISO .250 → .181; BABIP .327 → .287. 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).

2021 AAACharlotte Knights · 163 PAwOBA .339 → .266 (−73)K% 25.2% → 29.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.15%÷1.011×1.200——29.86%
BB% (unintentional) /PA13.50%÷1.053×0.690—×1.0189.00%
HBP% /PA1.23%—×0.940—×1.0181.17%
Singles /BIP22.92%÷0.986×0.930×1.016×1.01822.35%
Doubles /BIP4.17%÷1.128×0.830×1.016×1.0183.17%
Triples /BIP0.00%÷1.020×0.920×1.016×1.0180.00%
Home runs /BIP7.29%÷1.190×0.700—×1.0184.37%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 138, 1B 97, 2B 126, 3B 104, K 102, BB 111 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .339 → .266; ISO .182 → .116; BABIP .289 → .264. 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 AABirmingham Barons · 535 PAwOBA .301 → .255 (−46)K% 16.6% → 20.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.64%÷1.007×1.220——20.15%
BB% (unintentional) /PA8.60%÷0.929×0.680—×1.0126.37%
HBP% /PA0.93%—×0.840—×1.0120.79%
Singles /BIP22.40%÷0.998×0.920×0.950×1.01219.84%
Doubles /BIP4.69%÷1.009×0.910×0.950×1.0124.06%
Triples /BIP1.04%÷1.150×0.880×0.950×1.0120.77%
Home runs /BIP2.34%÷0.993×0.800—×1.0121.91%

Factors used: league row SL. Park (home-season share, regressed): HR 99, 1B 100, 2B 102, 3B 130, K 101, BB 86 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .301 → .255; ISO .112 → .093; BABIP .281 → .245. 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 A+Winston-Salem Dash · 288 PAwOBA .380 → .311 (−69)K% 16.0% → 24.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.97%÷0.928×1.420——24.44%
BB% (unintentional) /PA9.38%÷1.049×0.630—×0.9985.62%
HBP% /PA0.69%—×0.860—×0.9980.60%
Singles /BIP22.33%÷0.984×0.940×0.984×0.99820.95%
Doubles /BIP11.65%÷0.939×0.830×0.984×0.99810.11%
Triples /BIP1.46%÷1.150×0.800×0.984×0.9980.99%
Home runs /BIP2.91%÷1.014×0.900—×0.9982.58%

Factors used: league row CAR. Park (home-season share, regressed): HR 103, 1B 97, 2B 88, 3B 130, K 86, BB 110 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.

Result: wOBA .380 → .311; ISO .190 → .157; BABIP .354 → .319. 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 AKannapolis Intimidators · 255 PAwOBA .364 → .289 (−76)K% 22.4% → 30.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.35%÷0.986×1.340——30.37%
BB% (unintentional) /PA8.24%÷0.966×0.660—×0.9905.57%
HBP% /PA0.39%—×0.770—×0.9900.30%
Singles /BIP24.86%÷1.026×0.920×1.027×0.99022.67%
Doubles /BIP9.25%÷0.986×0.820×1.027×0.9907.82%
Triples /BIP1.16%÷1.100×0.940×1.027×0.9901.00%
Home runs /BIP4.62%÷1.034×0.820—×0.9903.63%

Factors used: league row SAL. Park (home-season share, regressed): HR 107, 1B 105, 2B 97, 3B 120, K 97, BB 93 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .364 → .289; ISO .191 → .147; BABIP .365 → .323. 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 AKannapolis Intimidators · 277 PAwOBA .320 → .252 (−68)K% 18.1% → 24.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.05%÷0.979×1.340——24.71%
BB% (unintentional) /PA13.72%÷0.975×0.660——9.28%
HBP% /PA1.08%—×0.770——0.83%
Singles /BIP20.77%÷1.001×0.920×0.970—18.51%
Doubles /BIP7.10%÷1.070×0.820×0.970—5.28%
Triples /BIP2.19%÷1.150×0.940×0.970—1.73%
Home runs /BIP1.09%÷0.824×0.820——1.09%

Factors used: league row SAL. Park (home-season share, regressed): HR 65, 1B 100, 2B 114, 3B 130, K 96, BB 95 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.

Result: wOBA .320 → .252; ISO .116 → .093; BABIP .302 → .257. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .