Ronaldo Flores

PosC
B/TR/R
Born2002-05-17
Age (2027)25
No MLB projection yet. Career stats below are historical.
Overview
A+LAST SEASON 2024
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202220ASF74.275/.315/.5075173—.229/.260/.414
202321ASEA320.266/.317/.3774157—.224/.263/.310
202422A+/ROKLAA107.172/.219/.293215—.148/.181/.258
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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
201917 ROKDSL Giants — 211191 62703 9297 11 325377408785 84362 144 349 39 — — — — — —
202119 ROKACL Giants Black — 128118 33710 5283 00 280325356681 76359 224 304 26 — — — — — —
202220 ASan Jose Giants — 7469 19105 3161 10 275315507822 232286 224 355 73 — — — — — —
202321 AInland Empire 66ers — 320297 791914 20682 11 266317377694 111332 216 311 57 — — — — — —
202422 A+Tri-City Dust Devils — 9186 16601 2251 10 186213291504 105250 272 220 5 — — — — — —
202422 ROKACL Angels — 1613 1001 340 00 77250308558 231 2519 261 6 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201917 ROK MLEDSL Giants — 211193 40401 7357 11 207261244504 36234 173 226 39 — — — — — —
202119 ROK MLEACL Giants Black — 128120 23410 3423 00 192230242472 50281 332 207 26 — — — — — —
202220 A MLESan Jose Giants — 7470 16104 2231 10 229260414675 186270 313 276 73 — — — — — —
202321 A MLEInland Empire 66ers — 320303 681513 14922 11 224263310574 86309 294 253 57 — — — — — —
202422 A+ MLETri-City Dust Devils — 9187 14501 1331 10 161180253433 92229 361 176 5 — — — — — —
202422 ROK MLEACL Angels — 1614 1001 260 00 71188286473 214 3812 177 6 — — — — — —
201917 ROK MLEDSL Giants — 211193 40401 7357 11 207261244504 36242 173 226 39 — — — — — —
201917 ROK RAWDSL Giants — 211191 62703 9297 11 325377408785 84362 144 349 39 — — — — — —
202119 ROK MLEACL Giants Black — 128120 23410 3423 00 192230242472 50287 332 207 26 — — — — — —
202119 ROK RAWACL Giants Black — 128118 33710 5283 00 280325356681 76359 224 304 26 — — — — — —
202220 A MLESan Jose Giants — 7470 16104 2231 10 229260414675 186273 313 276 73 — — — — — —
202220 A RAWSan Jose Giants — 7469 19105 3161 10 275315507822 232286 224 355 73 — — — — — —
202321 A MLEInland Empire 66ers — 320303 681513 14922 11 224263310574 86311 294 253 57 — — — — — —
202321 A RAWInland Empire 66ers — 320297 791914 20682 11 266317377694 111332 216 311 57 — — — — — —
202422 A+ MLE2 teams — 107101 15502 3391 10 149181257438 109217 363 176 5 — — — — — —
202422 A+ RAW2 teams — 10799 17602 5291 10 172219293512 121221 275 226 5 — — — — — —
201917 ROK MLEDSL Giants — 211195 40401 7357 11 205261241502 36234 173 226 39 — — — — — —
202119 ROK MLEACL Giants Black — 128121 23410 3423 00 190230240470 50281 332 207 26 — — — — — —
202220 A MLESan Jose Giants — 7471 16104 2231 10 225260408669 183270 313 276 73 — — — — — —
202321 A MLEInland Empire 66ers — 320301 681513 14922 11 226263312576 86309 294 253 57 — — — — — —
202422 A+ MLE2 teams — 107102 15502 3391 10 147181255436 108195 363 176 5 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202422 A+ MLE2 teams — 107102 15502 3391 10 147181255436 108195 363 176 5 — — — — — —
▸ Career Totals
Career— MLE — 840787 16229210 2923114 42 206247286533 80274 283 231 43 -57 +0 +0 +15 +18 -2.4
/ 162G— MLE — 650609 1262228 2217911 32 207248289537 82276 283 231 43 -44 -0 +0 +12 +14 -1.9

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 A+Tri-City Dust Devils · 91 PAwOBA .214 → .176 (−38)K% 27.5% → 36.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.47%÷1.018×1.350——36.42%
BB% (unintentional) /PA2.20%÷1.018×0.710—×1.0121.55%
HBP% /PA1.10%—×0.810—×1.0120.90%
Singles /BIP14.75%÷0.969×0.910×0.994×1.01213.94%
Doubles /BIP9.84%÷0.950×0.830×0.994×1.0128.64%
Triples /BIP0.00%÷1.150×0.820×0.994×1.0120.00%
Home runs /BIP1.64%÷0.916×0.830—×1.0121.50%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 94, 2B 90, 3B 130, K 104, BB 104 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .214 → .176; ISO .105 → .085; BABIP .250 → .229. 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).

2024 ROKACL Angels · 16 PAwOBA .255 → .177 (−78)K% 25.0% → 35.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.00%÷1.004×1.440——35.87%
BB% (unintentional) /PA18.75%÷1.026×0.620—×0.97511.04%
HBP% /PA0.00%—×0.720—×0.9750.00%
Singles /BIP0.00%÷0.958×0.820—×0.9750.00%
Doubles /BIP0.00%÷0.966×0.720—×0.9750.00%
Triples /BIP0.00%÷1.053×0.720—×0.9750.00%
Home runs /BIP11.11%÷0.895×0.780—×0.9759.44%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 92, 2B 93, 3B 111, K 101, BB 105 — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .255 → .177; ISO .231 → .185; BABIP .000 → .000. 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 AInland Empire 66ers · 320 PAwOBA .304 → .253 (−50)K% 21.2% → 28.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.25%÷1.000×1.360——28.89%
BB% (unintentional) /PA6.25%÷0.970×0.690—×1.0154.51%
HBP% /PA0.62%—×0.780—×1.0150.49%
Singles /BIP24.02%÷1.026×0.920×1.049×1.01522.93%
Doubles /BIP8.30%÷1.016×0.830×1.049×1.0157.22%
Triples /BIP0.44%÷1.049×0.910×1.049×1.0150.40%
Home runs /BIP1.75%÷0.897×0.800—×1.0151.58%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 105, 2B 103, 3B 110, K 100, BB 94 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.049.

Result: wOBA .304 → .253; ISO .111 → .091; BABIP .332 → .309. 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 ASan Jose Giants · 74 PAwOBA .349 → .276 (−73)K% 21.6% → 31.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.62%÷0.943×1.360——31.17%
BB% (unintentional) /PA4.05%÷1.055×0.690—×1.0302.73%
HBP% /PA1.35%—×0.780—×1.0301.09%
Singles /BIP24.53%÷0.983×0.920×1.011×1.03023.90%
Doubles /BIP1.89%÷0.957×0.830×1.011×1.0301.70%
Triples /BIP0.00%÷0.900×0.910×1.011×1.0300.00%
Home runs /BIP9.43%÷1.063×0.800—×1.0307.31%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 97, 2B 91, 3B 80, K 89, BB 111 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .349 → .276; ISO .232 → .165; BABIP .286 → .270. 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 ROKACL Giants Black · 128 PAwOBA .301 → .207 (−94)K% 21.9% → 33.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.88%÷0.950×1.440——33.14%
BB% (unintentional) /PA3.91%÷0.958×0.620—×1.0082.55%
HBP% /PA2.34%—×0.720—×1.0081.70%
Singles /BIP27.78%÷1.003×0.820×0.994×1.00822.74%
Doubles /BIP7.78%÷1.069×0.720×0.994×1.0085.25%
Triples /BIP1.11%÷1.045×0.720×0.994×1.0080.77%
Home runs /BIP0.00%÷1.222×0.780—×1.0080.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 144, 1B 101, 2B 114, 3B 109, K 90, BB 92 — 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 ×0.994.

Result: wOBA .301 → .207; ISO .076 → .046; BABIP .359 → .281. 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 DSLDSL Giants · 211 PAwOBA .347 → .226 (−121)K% 13.7% → 16.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.74%÷1.000×1.220——16.77%
BB% (unintentional) /PA4.27%÷1.000×0.700—×1.0223.05%
HBP% /PA3.32%—×0.700—×1.0222.37%
Singles /BIP32.10%÷1.000×0.680×0.950×1.02221.20%
Doubles /BIP4.32%÷1.000×0.600×0.950×1.0222.52%
Triples /BIP0.00%÷1.000×0.600×0.950×1.0220.00%
Home runs /BIP1.85%÷1.000×0.470—×1.0220.89%

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 ×0.950.

Result: wOBA .347 → .226; ISO .084 → .045; BABIP .362 → .234. 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).