Ramon Peralta

SS ACL Giants
Age 23 R/R 5'11" / 165 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2038
Overview
ROKPROSPECTMiLBFA 2039
ETA2029MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202319ROKACL Giants Or…199.266/.411/.4375555—.180/.284/.279
202420A/ROKSF194.239/.354/.3742341—.169/.255/.252
202521ROKSF199.261/.378/.4425643—.170/.255/.278
2027PROJMLE23MLBSF309.193/.263/.2914557-0.1
2028PROJ30% MLB24MLBSF29.195/.265/.2950062-0.0
2029PROJ44% MLB25MLBSF71.197/.269/.3031165-0.0
Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2038Service0.0First FA2039
2027MiLB2028MiLB2029MiLB2030Ext$0.0M2031Ext$0.0M2032Ext$0.0M2033Ext$0.9M2034Ext$1.0M+4
Skills · percentileMiLB Statcast 2025 Rk
ISO89
Speed70
wRC+68
wOBA63
Chase%56
BB%45
CompsRowdey Jordan (age 23) · Yoel Romero (age 23) · Connor Kaiser (age 24)
2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 73 proj PA
wRC+†57
AVG/OBP/SLG.192 / .261 / .288
PA73
HR1
K%30
BB%7
ISO98
MLB%0%
Value2027 · WAR
BAT: -3.7 runs (wOBA-derived runs vs avg)-4BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.8 runs (Positional adjustment)+1POSREP: +1.6 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · projected WAR by year
-0.10.00.0272829
Tools · ContractCON 35 / POW 40
Toolsscout grade
CONTACT35
scouting grade only
POWER40
scouting grade only
EYE50
scouting grade only
SPEED45
scouting grade only
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2033
Service   0 yrs (est)
Team Control Through   2038
First FA Year   2039
YearStatusSalary Proj WAR Value Surplus
2027MiLBstill in minors · estimated debut 2033
2028MiLBstill in minors · estimated debut 2033
2029MiLBstill in minors · estimated debut 2033
2030Extbeyond projection horizon · no WAR estimate
2031Extbeyond projection horizon · no WAR estimate
2032Extbeyond projection horizon · no WAR estimate
2033Extbeyond projection horizon · no WAR estimate
2034Extbeyond projection horizon · no WAR estimate
2035Extbeyond projection horizon · no WAR estimate
2036Extbeyond projection horizon · no WAR estimate
2037Extbeyond projection horizon · no WAR estimate
2038Extbeyond projection horizon · no WAR estimate
Totals $0.0M $0.0M +$0.0M

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)
202117 ROKDSL Giants Orange — 203167 361004 29485 103 216348347696 132274 2414 320 21 — — — — — —
202218 ROKDSL Giants Black — 147116 28422 27342 81 241393362755 121317 2318 346 40 — — — — — —
202319 ROKACL Giants Orange — 199158 421205 34565 52 266411437848 171378 2817 381 55 — — — — — —
202420 ASan Jose Giants — 9080 13110 7281 00 163239200439 38245 318 205 -3 — — — — — —
202420 ROKACL Giants — 10483 26922 17294 30 313452542994 229462 2816 438 80 — — — — — —
202521 ROKACL Giants — 199165 43935 26605 62 261378442820 182369 3013 363 43 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202117 ROK MLEDSL Giants Orange — 203176 22502 20625 103 125234188421 62174 3110 199 21 — — — — — —
202218 ROK MLEDSL Giants Black — 147125 18211 18412 81 144262200462 56203 2812 227 40 — — — — — —
202319 ROK MLEACL Giants Orange — 199172 31803 20785 52 180284279563 99293 3910 250 55 — — — — — —
202420 A MLESan Jose Giants — 9082 11110 5401 00 134193171364 37244 446 164 -3 — — — — — —
202420 ROK MLEACL Giants — 10490 18611 10424 30 200308322630 122359 4010 286 80 — — — — — —
202521 ROK MLEACL Giants — 199176 30623 15835 62 170255278534 108268 428 232 43 — — — — — —
202117 ROK MLEDSL Giants Orange — 203176 22502 20625 103 125234188421 62175 3110 199 21 — — — — — —
202117 ROK RAWDSL Giants Orange — 203167 361004 29485 103 216348347696 132274 2414 320 21 — — — — — —
202218 ROK MLEDSL Giants Black — 147125 18211 18412 81 144262200462 56200 2812 227 40 — — — — — —
202218 ROK RAWDSL Giants Black — 147116 28422 27342 81 241393362755 121317 2318 346 40 — — — — — —
202319 ROK MLEACL Giants Orange — 199172 31803 20785 52 180284279563 99304 3910 250 55 — — — — — —
202319 ROK RAWACL Giants Orange — 199158 421205 34565 52 266411437848 171378 2817 381 55 — — — — — —
202420 ROK MLE2 teams — 194172 29721 15825 30 169255250505 81311 428 229 41 — — — — — —
202420 ROK RAW2 teams — 194163 391032 24575 30 239354374728 135352 2912 330 41 — — — — — —
202521 ROK MLEACL Giants — 199176 30623 15835 62 170255278534 108290 428 232 43 — — — — — —
202521 ROK RAWACL Giants — 199165 43935 26605 62 261378442820 182369 3013 363 43 — — — — — —
202117 ROK MLEDSL Giants Orange — 203176 22502 20625 103 125234188421 62174 3110 199 21 — — — — — —
202218 ROK MLEDSL Giants Black — 147126 18211 18412 81 143262198460 56203 2812 227 40 — — — — — —
202319 ROK MLEACL Giants Orange — 199172 31803 20785 52 180284279563 99293 3910 250 55 — — — — — —
202420 ROK MLE2 teams — 194172 29721 15825 30 169255250505 81306 428 229 41 — — — — — —
202521 ROK MLEACL Giants — 199177 30623 15835 62 169255277532 107268 428 232 43 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202420 ROK MLE2 teams — 194172 29721 15825 30 169255250505 81306 428 229 41 — — — — — —
202521 ROK MLEACL Giants — 199177 30623 15835 62 169255277532 107268 428 232 43 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202723 MLB MLESF 0% 309279 531024 23944 51 193263291554 98271 307 253 57 -16 +1 +0 +3 +7 -0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202824 MLB MLESF 30% 9789 18312 7291 10 198268302570 105273 307 259 62 -4 +0 +0 +1 +2 -0.1
202925 MLB MLESF 44% 162147 30613 12482 21 201272310582 110274 307 264 65 -7 +0 +0 +2 +4 -0.2
202824 MLB CTXSF 30% 2927 5100 290 00 195265295560 101270 317 255 62 -1 +0 +0 +0 +1 -0.0
202925 MLB CTXSF 44% 7165 12201 5211 10 197269303571 105271 307 260 65 -3 +0 +0 +1 +2 -0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 10092 17301 7301 10 185250250500 65262 307 258 46 -4 +0 +0 +1 +2 -0.1
/ 162G— A+C — 650598 1102006 461956 60 184249247497 64262 307 258 46 -28 +1 +0 +7 +14 -0.6
Career— MLE — 12741124 19139816 11244526 369 170261262522 92260 359 236 46 -15 +0 +0 +4 +7 -0.4
/ 162G— MLE — 650573 972048 5722713 185 169259260519 91259 359 236 46 -29 +1 +0 +7 +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.

2025 ROKACL Giants · 199 PAwOBA .359 → .232 (−127)K% 30.2% → 41.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA30.15%÷1.045×1.440——41.54%
BB% (unintentional) /PA13.07%÷1.070×0.620—×0.9757.38%
HBP% /PA2.51%—×0.720—×0.9751.76%
Singles /BIP24.76%÷1.042×0.820×1.000×0.97519.02%
Doubles /BIP8.57%÷1.001×0.720×1.000×0.9756.01%
Triples /BIP2.86%÷1.150×0.720×1.000×0.9751.74%
Home runs /BIP4.76%÷1.128×0.780—×0.9753.21%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 126, 1B 108, 2B 100, 3B 130, K 109, BB 114 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .359 → .232; ISO .182 → .114; BABIP .369 → .268. 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 Giants · 104 PAwOBA .427 → .286 (−141)K% 27.9% → 40.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.88%÷0.997×1.440——40.28%
BB% (unintentional) /PA16.35%÷1.062×0.620—×0.9859.40%
HBP% /PA3.85%—×0.720—×0.9852.73%
Singles /BIP24.07%÷1.003×0.820—×0.98519.38%
Doubles /BIP16.67%÷0.927×0.720—×0.98512.76%
Triples /BIP3.70%÷0.900×0.720—×0.9852.92%
Home runs /BIP3.70%÷1.178×0.780—×0.9852.42%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 136, 1B 101, 2B 85, 3B 80, K 99, BB 112 — 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 .427 → .286; ISO .229 → .154; BABIP .462 → .359. 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 ASan Jose Giants · 90 PAwOBA .203 → .164 (−38)K% 31.1% → 44.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.11%÷0.957×1.360——44.23%
BB% (unintentional) /PA7.78%÷0.966×0.690—×1.0155.64%
HBP% /PA1.11%—×0.780—×1.0150.88%
Singles /BIP21.15%÷0.961×0.920×1.041×1.01521.39%
Doubles /BIP1.92%÷1.012×0.830×1.041×1.0151.67%
Triples /BIP1.92%÷1.000×0.910×1.041×1.0151.85%
Home runs /BIP0.00%÷0.959×0.800—×1.0150.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 92, 2B 102, 3B 100, K 91, BB 93 — 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 ×1.041.

Result: wOBA .203 → .164; ISO .037 → .030; BABIP .245 → .244. 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 ROKACL Giants Orange · 199 PAwOBA .374 → .250 (−124)K% 28.1% → 39.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.14%÷1.036×1.440——39.13%
BB% (unintentional) /PA17.09%÷1.022×0.620—×0.99510.31%
HBP% /PA2.51%—×0.720—×0.9951.80%
Singles /BIP24.51%÷1.004×0.820×1.047×0.99520.86%
Doubles /BIP11.76%÷1.107×0.720×1.047×0.9957.98%
Triples /BIP0.00%÷0.900×0.720×1.047×0.9950.00%
Home runs /BIP4.90%÷1.377×0.780—×0.9952.76%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 175, 1B 101, 2B 121, 3B 80, K 107, BB 104 — 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 ×1.047.

Result: wOBA .374 → .250; ISO .171 → .100; BABIP .378 → .293. 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 DSLDSL Giants Black · 147 PAwOBA .341 → .227 (−114)K% 23.1% → 28.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.13%÷1.000×1.220——28.22%
BB% (unintentional) /PA17.69%÷0.986×0.700—×0.99512.49%
HBP% /PA1.36%—×0.700—×0.9950.95%
Singles /BIP24.39%÷1.011×0.680×0.998×0.99516.29%
Doubles /BIP4.88%÷1.035×0.600×0.998×0.9952.81%
Triples /BIP2.44%÷1.000×0.600×0.998×0.9951.45%
Home runs /BIP2.44%÷1.074×0.470—×0.9951.06%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 102, 2B 107, 3B 100, K 100, BB 97 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.

Result: wOBA .341 → .227; ISO .121 → .066; BABIP .317 → .203. 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 DSLDSL Giants Orange · 203 PAwOBA .316 → .199 (−117)K% 23.6% → 30.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.65%÷0.943×1.220——30.59%
BB% (unintentional) /PA14.29%÷1.011×0.700—×1.0089.97%
HBP% /PA2.46%—×0.700—×1.0081.74%
Singles /BIP18.49%÷0.991×0.680×1.003×1.00812.82%
Doubles /BIP8.40%÷1.097×0.600×1.003×1.0084.65%
Triples /BIP0.00%÷0.900×0.600×1.003×1.0080.00%
Home runs /BIP3.36%÷1.074×0.470—×1.0081.48%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 98, 2B 119, 3B 80, K 89, BB 102 — 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 ×1.003.

Result: wOBA .316 → .199; ISO .132 → .064; BABIP .274 → .174. 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).