Francisco Peguero

PosLF
B/TR/R
Born1988-06-01
Age (2027)39
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2024
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202032INTLNaranjeros de…124.205/.270/.4026084—
202335INTLNicaragua24.208/.208/.2920035—
202436INTLVenados de Ma…17.235/.235/.2350030—
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)
200618 ROKDSL Giants — 196182 501034 6373 32 275309429737 154324 193 318 25 — — — — — —
200719 ROKDSL Giants — 258235 691221 15394 255 294346374721 81342 156 322 34 — — — — — —
200820 AAugusta GreenJackets — 194180 47242 12431 151 261311350661 89331 226 297 58 — — — — — —
200921 AAugusta GreenJackets — 252238 811241 5394 155 340364437801 97396 152 350 101 — — — — — —
201022 A+San Jose Giants — 538510 168191610 18886 4022 329360488848 159382 163 370 100 — — — — — —
201022 INTLGigantes del Cibao — 168155 41440 4290 54 265283342625 77325 172 263 64 — — — — — —
201123 AARichmond Flying Squirrels — 296285 881265 5451 81 309323446769 137346 152 333 86 — — — — — —
201123 A+San Jose Giants — 7668 22202 780 40 324387441828 118345 119 367 107 — — — — — —
201123 INTLGigantes del Cibao — 9387 23211 5171 32 264312345657 80319 185 298 88 — — — — — —
201224 MLBSan Francisco Giants — 1616 3000 070 30 188188188375 333 440 170 3 -2 +1 +2 -6 +0 -0.5
201224 AAAFresno Grizzlies — 476449 12220105 15823 10 272300394694 122319 173 302 69 — — — — — —
201224 INTLGigantes del Cibao — 6762 12600 2211 30 194231290521 97293 313 228 40 — — — — — —
201325 MLBSan Francisco Giants — 3029 6101 120 20 207233345578 138192 73 256 64 -1 +0 +1 -5 +1 -0.4
201325 AAAFresno Grizzlies — 288272 861223 13513 30 316354408762 92381 185 342 86 — — — — — —
201325 ROKAZL Giants — 2626 8011 020 00 308308500808 192304 80 351 53 — — — — — —
201325 INTLDominican Republic — 9486 31305 3132 30 360396570965 209371 143 411 164 — — — — — —
201426 AAANorfolk Tides — 320304 831613 11694 42 273307362669 89343 223 300 63 — — — — — —
201426 INTLGigantes del Cibao — 8175 27411 4152 01 360407480887 120441 195 396 154 — — — — — —
201527 AAATigres de Quintana Roo — 406377 11117416 22585 43 294342488830 194312 145 363 97 — — — — — —
201527 INTLGigantes del Cibao — 10194 22111 6180 12 234280298578 64280 186 261 63 — — — — — —
201628 AAAAcereros del Norte — 448415 12916515 26774 72 311357482839 171352 176 368 93 — — — — — —
201628 INTLGigantes del Cibao — 8476 14110 2152 10 184225224449 39226 182 198 20 — — — — — —
201830 INTLNaranjeros de Hermosillo — 235216 761526 9436 01 352394523917 171409 184 398 156 — — — — — —
201931 AAAAcereros del Norte — 528463 17626031 481009 71 3804486371.085 257426 199 465 121 — — — — — —
201931 INTLNaranjeros de Hermosillo — 162146 49427 13392 21 336398534932 199416 248 408 162 — — — — — —
202032 INTLNaranjeros de Hermosillo — 124112 23216 10350 00 205270402672 196233 288 293 84 — — — — — —
202335 INTLNicaragua — 2424 5200 040 00 208208292500 83250 170 220 35 — — — — — —
202436 INTLVenados de Mazatlan — 1717 4000 070 00 235235235471 400 410 213 30 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 4645 9101 190 50 200217289506 89229 202 226 39 -3 +1 +3 -11 +1 -0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200618 ROK MLEDSL Giants — 196184 34622 4453 32 185215272486 87222 232 205 25 — — — — — —
200719 ROK MLEDSL Giants — 258240 48810 10474 255 200244242486 42236 184 218 34 — — — — — —
200820 A MLEAugusta GreenJackets — 194184 44242 8581 151 239275326601 87327 304 254 58 — — — — — —
200921 A MLEAugusta GreenJackets — 252240 761041 3524 155 317336404740 88382 211 317 101 — — — — — —
201022 A+ MLESan Jose Giants — 538517 15217119 111216 4022 294316422738 128364 222 316 100 — — — — — —
201123 AA MLERichmond Flying Squirrels — 296287 811054 3561 81 282292394686 111328 191 296 86 — — — — — —
201123 A+ MLESan Jose Giants — 7670 21202 5110 40 300347414761 114329 147 327 107 — — — — — —
201224 MLB MLESan Francisco Giants — 1616 3000 070 30 188188188375 333 440 172 3 -2 +1 +2 -6 +0 -0.5
201224 AAA MLEFresno Grizzlies — 476454 1141895 101123 10 251272363635 112310 242 270 69 — — — — — —
201325 MLB MLESan Francisco Giants — 3029 6101 120 20 207233345578 138192 73 263 64 -1 +0 +1 -5 +1 -0.4
201325 AAA MLEFresno Grizzlies — 288275 781022 10673 30 284316356672 73367 233 296 86 — — — — — —
201325 ROK MLEAZL Giants — 2626 6011 030 00 231231423654 192229 120 246 53 — — — — — —
201426 AAA MLENorfolk Tides — 320308 761512 7814 42 247273321594 75326 252 261 63 — — — — — —
201527 AAA MLETigres de Quintana Roo — 406386 10616410 13655 43 275307415721 140305 163 312 97 — — — — — —
201628 AAA MLEAcereros del Norte — 448427 11613411 14934 72 272301398699 126323 213 306 93 — — — — — —
201931 AAA MLEAcereros del Norte — 528479 13919021 321219 71 290346461808 171332 236 347 121 — — — — — —
200618 ROK MLEDSL Giants — 196184 34622 4453 32 185215272486 87232 232 205 25 — — — — — —
200618 ROK RAWDSL Giants — 196182 501034 6373 32 275309429737 154324 193 318 25 — — — — — —
200719 ROK MLEDSL Giants — 258240 48810 10474 255 200244242486 42244 184 218 34 — — — — — —
200719 ROK RAWDSL Giants — 258235 691221 15394 255 294346374721 81342 156 322 34 — — — — — —
200820 A MLEAugusta GreenJackets — 194184 44242 8581 151 239275326601 87336 304 254 58 — — — — — —
200820 A RAWAugusta GreenJackets — 194180 47242 12431 151 261311350661 89331 226 297 58 — — — — — —
200921 A MLEAugusta GreenJackets — 252240 761041 3524 155 317336404740 88393 211 317 101 — — — — — —
200921 A RAWAugusta GreenJackets — 252238 811241 5394 155 340364437801 97396 152 350 101 — — — — — —
201022 A+ MLE2 teams — 706673 199221511 141596 4526 296316422738 126372 232 316 100 — — — — — —
201022 A+ RAW2 teams — 706665 209232010 221176 4526 314342454796 140369 173 345 100 — — — — — —
201123 AA MLE3 teams — 465446 1281577 11842 153 287307399706 112336 182 302 91 — — — — — —
201123 AA RAW3 teams — 465440 1331678 17702 153 302331425756 123341 154 331 91 — — — — — —
201224 AAA MLE3 teams — 559533 13220105 111354 70 248268351619 103319 242 267 67 — — — — — —
201224 AAA RAW3 teams — 559527 13726105 171104 70 260288376664 116317 203 289 67 — — — — — —
201325 AAA MLE4 teams — 438416 1141435 14915 80 274306358664 84339 213 289 82 — — — — — —
201325 AAA RAW4 teams — 438413 13116310 17685 80 317352443795 126359 164 352 82 — — — — — —
201426 AAA MLE2 teams — 401386 961913 81016 43 249275326601 78329 252 261 63 — — — — — —
201426 AAA RAW2 teams — 401379 1102024 15846 43 290328385713 95363 214 320 63 — — — — — —
201527 AAA MLE2 teams — 507483 13320513 16815 55 275306418724 143308 163 312 97 — — — — — —
201527 AAA RAW2 teams — 507471 13318517 28765 55 282329450779 168306 156 343 97 — — — — — —
201628 AAA MLE2 teams — 532502 13816513 171116 82 275307404711 129329 213 306 93 — — — — — —
201628 AAA RAW2 teams — 532491 14317615 28926 82 291337442779 151332 175 342 93 — — — — — —
201830 INTL MLENaranjeros de Hermosillo — 235216 761526 9436 01 352394523917 171409 184 — — — — — — — —
201830 INTL RAWNaranjeros de Hermosillo — 235216 761526 9436 01 352394523917 171409 184 398 156 — — — — — —
201931 AAA MLE2 teams — 690629 18125027 4115911 92 288342456798 169341 236 347 121 — — — — — —
201931 AAA RAW2 teams — 690609 22530238 6113911 92 3694366121.049 243424 209 452 121 — — — — — —
202032 INTL MLENaranjeros de Hermosillo — 124112 23216 10350 00 205270402672 196233 288 — — — — — — — —
202032 INTL RAWNaranjeros de Hermosillo — 124112 23216 10350 00 205270402672 196233 288 293 84 — — — — — —
202335 INTL MLENicaragua — 2424 5200 040 00 208208292500 83250 170 — — — — — — — —
202335 INTL RAWNicaragua — 2424 5200 040 00 208208292500 83250 170 220 35 — — — — — —
202436 INTL MLEVenados de Mazatlan — 1717 4000 070 00 235235235471 400 410 — — — — — — — —
202436 INTL RAWVenados de Mazatlan — 1717 4000 070 00 235235235471 400 410 213 30 — — — — — —
200618 ROK MLEDSL Giants — 196187 34622 4453 32 182215267482 86222 232 205 25 — — — — — —
200719 ROK MLEDSL Giants — 258242 48810 10474 255 198244240484 41236 184 218 34 — — — — — —
200820 A MLEAugusta GreenJackets — 194183 44242 8581 151 240275328602 87327 304 254 58 — — — — — —
200921 A MLEAugusta GreenJackets — 252243 761041 3524 155 313336399735 86382 211 317 101 — — — — — —
201022 A+ MLE2 teams — 706680 199221511 141596 4526 293316418734 125364 232 316 100 — — — — — —
201123 AA MLE3 teams — 465449 1281577 11842 153 285307396704 111328 182 302 91 — — — — — —
201224 AAA MLE3 teams — 559539 13220105 111354 70 245268347615 102311 242 267 67 — — — — — —
201325 AAA MLE4 teams — 438416 1141435 14915 80 274306358664 84341 213 289 82 — — — — — —
201426 AAA MLE2 teams — 401384 961913 81016 43 250275328603 78326 252 261 63 — — — — — —
201527 AAA MLE2 teams — 507481 13320513 16815 55 277306420726 143305 163 312 97 — — — — — —
201628 AAA MLE2 teams — 532504 13816513 171116 82 274307403709 129323 213 306 93 — — — — — —
201931 AAA MLE2 teams — 690633 18125027 4115911 92 286342453796 167332 236 347 121 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 4645 9101 190 50 200217289506 89229 202 226 71 -3 +1 +3 -11 +1 -0.9
/ 162G— A+C — 650636 12714014 141270 710 200217288505 88228 202 226 71 -47 +14 +39 -151 +14 -13.3
Career— MLE — 55985285 143119660101 176121263 15955 271302388690 117331 223 273 71 -3 +1 +3 -11 +1 -0.9
/ 162G— MLE — 650614 16723712 201417 186 272303391694 119333 223 273 71 -47 +14 +39 -151 +14 -13.3

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.

2019 AAAAcereros del Norte · 528 PAwOBA .458 → .347 (−111)K% 18.9% → 23.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.94%÷0.988×1.200——23.01%
BB% (unintentional) /PA8.71%÷0.960×0.690—×0.9626.03%
HBP% /PA1.70%—×0.940—×0.9621.54%
Singles /BIP32.78%÷1.036×0.930×0.950×0.96226.90%
Doubles /BIP7.16%÷1.048×0.830×0.950×0.9625.18%
Triples /BIP0.00%÷0.922×0.920×0.950×0.9620.00%
Home runs /BIP8.54%÷1.015×0.700—×0.9625.67%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 107, 2B 110, 3B 84, K 98, BB 92 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .458 → .347; ISO .257 → .176; BABIP .426 → .332. 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 AAAAcereros del Norte · 448 PAwOBA .356 → .306 (−50)K% 17.2% → 20.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.19%÷0.989×1.200——20.85%
BB% (unintentional) /PA4.91%÷1.059×0.690—×0.9923.18%
HBP% /PA0.89%—×0.940—×0.9920.83%
Singles /BIP27.51%÷1.011×0.930×1.041×0.99226.12%
Doubles /BIP4.73%÷1.013×0.830×1.041×0.9924.00%
Triples /BIP1.48%÷1.124×0.920×1.041×0.9921.25%
Home runs /BIP4.44%÷0.941×0.700—×0.9923.27%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 102, 2B 103, 3B 125, K 98, BB 112 — 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 ×1.041.

Result: wOBA .356 → .306; ISO .171 → .132; BABIP .352 → .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).

2015 AAATigres de Quintana Roo · 406 PAwOBA .352 → .312 (−40)K% 14.3% → 16.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.29%÷1.070×1.200——16.02%
BB% (unintentional) /PA4.68%÷1.023×0.690—×1.0033.17%
HBP% /PA1.23%—×0.940—×1.0031.16%
Singles /BIP23.20%÷0.961×0.930×1.045×1.00323.54%
Doubles /BIP5.33%÷0.953×0.830×1.045×1.0034.86%
Triples /BIP1.25%÷0.997×0.920×1.045×1.0031.21%
Home runs /BIP5.02%÷1.118×0.700—×1.0033.15%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 92, 2B 91, 3B 99, K 114, BB 105 — 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 ×1.045.

Result: wOBA .352 → .312; ISO .194 → .144; BABIP .312 → .305. 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).

2014 AAANorfolk Tides · 320 PAwOBA .292 → .261 (−31)K% 21.6% → 25.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.56%÷1.025×1.200——25.26%
BB% (unintentional) /PA3.12%÷1.025×0.690—×1.0182.14%
HBP% /PA1.25%—×0.940—×1.0181.20%
Singles /BIP26.81%÷1.027×0.930×1.029×1.01825.45%
Doubles /BIP6.81%÷0.899×0.830×1.029×1.0186.59%
Triples /BIP0.43%÷1.007×0.970×1.029×1.0180.43%
Home runs /BIP1.28%÷1.223×0.840—×1.0180.89%

Factors used: league row IL. Park (home-season share, regressed): HR 145, 1B 105, 2B 80, 3B 101, K 105, BB 105 — 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 ×1.029.

Result: wOBA .292 → .261; ISO .089 → .076; BABIP .343 → .326. 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).

2013 AAAFresno Grizzlies · 288 PAwOBA .332 → .296 (−36)K% 17.7% → 23.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.71%÷0.989×1.290——23.09%
BB% (unintentional) /PA4.17%÷0.908×0.710—×1.0333.37%
HBP% /PA1.04%—×0.980—×1.0331.05%
Singles /BIP31.22%÷0.999×0.900×1.050×1.03330.51%
Doubles /BIP5.43%÷0.974×0.810×1.050×1.0334.90%
Triples /BIP0.90%÷0.954×0.810×1.050×1.0330.83%
Home runs /BIP1.36%÷0.994×0.780—×1.0331.10%

Factors used: league row PCL. Park (home-season share, regressed): HR 99, 1B 100, 2B 95, 3B 91, K 98, BB 82 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .332 → .296; ISO .092 → .076; BABIP .381 → .367. 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).

2013 ROKAZL Giants · 26 PAwOBA .341 → .246 (−95)K% 7.7% → 11.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA7.69%÷1.000×1.440——11.08%
BB% (unintentional) /PA0.00%÷1.000×0.620—×0.9450.00%
HBP% /PA0.00%—×0.720—×0.9450.00%
Singles /BIP25.00%÷1.000×0.820—×0.94519.37%
Doubles /BIP0.00%÷1.000×0.720—×0.9450.00%
Triples /BIP4.17%÷1.000×0.720—×0.9452.83%
Home runs /BIP4.17%÷1.000×0.780—×0.9453.07%

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 25 vs a level average of 19.5 → −5.5% on BB/HBP/hit rates (5.5 yr older than average).

Result: wOBA .341 → .246; ISO .192 → .132; BABIP .304 → .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).

2012 AAAFresno Grizzlies · 476 PAwOBA .296 → .270 (−25)K% 17.2% → 23.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.23%÷0.945×1.290——23.52%
BB% (unintentional) /PA2.94%÷1.068×0.710—×1.0482.05%
HBP% /PA0.63%—×0.980—×1.0480.65%
Singles /BIP23.71%÷1.001×0.900×1.050×1.04823.45%
Doubles /BIP5.45%÷0.964×0.810×1.050×1.0485.04%
Triples /BIP2.72%÷0.940×0.810×1.050×1.0482.58%
Home runs /BIP1.36%÷0.834×0.780—×1.0481.34%

Factors used: league row PCL. Park (home-season share, regressed): HR 67, 1B 100, 2B 93, 3B 88, K 89, BB 114 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .296 → .270; ISO .122 → .111; BABIP .319 → .310. 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).

2011 AARichmond Flying Squirrels · 296 PAwOBA .329 → .296 (−33)K% 15.2% → 19.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.20%÷0.974×1.220——19.04%
BB% (unintentional) /PA1.69%÷1.081×0.700—×1.0271.12%
HBP% /PA0.34%—×0.850—×1.0270.29%
Singles /BIP27.08%÷1.075×0.970×1.050×1.02726.36%
Doubles /BIP5.00%÷1.048×0.860×1.050×1.0274.42%
Triples /BIP2.50%÷1.140×0.950×1.050×1.0272.25%
Home runs /BIP2.08%÷1.081×0.780—×1.0271.54%

Factors used: league row EL. Park (home-season share, regressed): HR 116, 1B 115, 2B 110, 3B 128, K 95, BB 116 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .329 → .296; ISO .137 → .112; BABIP .346 → .328. 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 — .