Gerson Manzanillo

Pos2B
B/TL/R
Born1986-05-07
Age (2027)41
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201630AAARojos del Agu…223.266/.317/.2961553—.252/.294/.282
201731AAARojos del Agu…270.276/.325/.36011174—.262/.295/.344
201933AAA/INTL2 orgs398.283/.310/.3282746—.225/.242/.266
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)
200620 ROKDSL Yankees 1 — 154137 40440 10193 141 292353380733 88336 126 323 36 — — — — — —
200721 ROKGCL Yankees — 7571 18100 2150 54 254274268542 14316 203 241 3 — — — — — —
201630 AAARojos del Aguila de Veracruz — 223203 54301 12263 54 266317296612 30301 125 277 53 — — — — — —
201731 AAARojos del Aguila de Veracruz — 270250 691041 14364 114 276325360685 84319 135 307 74 — — — — — —
201933 AAAOlmecas de Tabasco — 277263 75602 8432 36 285311331642 46332 163 287 34 — — — — — —
201933 INTLAguilas del Zulia — 121112 31310 5180 43 277308321629 45326 154 276 73 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200620 ROK MLEDSL Yankees 1 — 154140 29330 7233 141 207260271531 64231 155 222 36 — — — — — —
200721 ROK MLEGCL Yankees — 7572 14100 1220 54 194205208414 14251 291 173 3 — — — — — —
201630 AAA MLERojos del Aguila de Veracruz — 223206 52301 9313 54 252294282575 29282 144 247 53 — — — — — —
201731 AAA MLERojos del Aguila de Veracruz — 270256 671041 8394 114 262295344639 82304 143 277 74 — — — — — —
201933 AAA MLEOlmecas de Tabasco — 277267 60502 4522 36 225242266508 41262 191 218 34 — — — — — —
200620 ROK MLEDSL Yankees 1 — 154140 29330 7233 141 207260271531 64246 155 222 36 — — — — — —
200620 ROK RAWDSL Yankees 1 — 154137 40440 10193 141 292353380733 88336 126 323 36 — — — — — —
200721 ROK MLEGCL Yankees — 7572 14100 1220 54 194205208414 14275 291 173 3 — — — — — —
200721 ROK RAWGCL Yankees — 7571 18100 2150 54 254274268542 14316 203 241 3 — — — — — —
201630 AAA MLERojos del Aguila de Veracruz — 223206 52301 9313 54 252294282575 29293 144 247 53 — — — — — —
201630 AAA RAWRojos del Aguila de Veracruz — 223203 54301 12263 54 266317296612 30301 125 277 53 — — — — — —
201731 AAA MLERojos del Aguila de Veracruz — 270256 671041 8394 114 262295344639 82306 143 277 74 — — — — — —
201731 AAA RAWRojos del Aguila de Veracruz — 270250 691041 14364 114 276325360685 84319 135 307 74 — — — — — —
201933 AAA MLE2 teams — 398382 85702 6742 79 223238257495 34269 192 218 34 — — — — — —
201933 AAA RAW2 teams — 398375 106912 13612 79 283310328638 45330 153 284 34 — — — — — —
200620 ROK MLEDSL Yankees 1 — 154143 29330 7233 141 203260266526 63231 155 222 36 — — — — — —
200721 ROK MLEGCL Yankees — 7574 14100 1220 54 189205203408 14251 291 173 3 — — — — — —
201630 AAA MLERojos del Aguila de Veracruz — 223209 52301 9313 54 249294278571 29282 144 247 53 — — — — — —
201731 AAA MLERojos del Aguila de Veracruz — 270256 671041 8394 114 262295344639 82304 143 277 74 — — — — — —
201933 AAA MLE2 teams — 398387 85702 6742 79 220238253492 34262 192 218 34 — — — — — —
▸ Career Totals
Career— MLE — 11201056 2472474 3118912 4222 234264281545 47280 173 236 46 -73 -0 +0 +4 +24 -4.6
/ 162G— MLE — 650613 1431442 181107 2413 233263279542 46280 173 236 46 -42 -0 +0 +2 +14 -2.7

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 AAAOlmecas de Tabasco · 277 PAwOBA .280 → .218 (−62)K% 15.5% → 18.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.52%÷0.994×1.200——18.74%
BB% (unintentional) /PA2.53%÷1.078×0.690—×0.9421.52%
HBP% /PA0.72%—×0.940—×0.9420.64%
Singles /BIP30.45%÷1.056×0.930×0.950×0.94224.00%
Doubles /BIP2.73%÷0.900×0.830×0.950×0.9422.25%
Triples /BIP0.00%÷1.057×0.920×0.950×0.9420.00%
Home runs /BIP0.91%÷0.865×0.700—×0.9420.69%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 73, 1B 111, 2B 80, 3B 111, K 99, BB 116 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .280 → .218; ISO .046 → .036; BABIP .332 → .262. 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 AAARojos del Aguila de Veracruz · 270 PAwOBA .298 → .277 (−21)K% 13.3% → 14.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.33%÷1.095×1.200——14.61%
BB% (unintentional) /PA4.81%÷1.043×0.690—×0.9623.06%
HBP% /PA1.48%—×0.940—×0.9621.34%
Singles /BIP25.23%÷0.988×0.930×1.050×0.96224.00%
Doubles /BIP4.67%÷0.899×0.830×1.050×0.9624.36%
Triples /BIP1.87%÷0.900×0.920×1.050×0.9621.93%
Home runs /BIP0.47%÷0.929×0.700—×0.9620.34%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 98, 2B 80, 3B 80, K 119, BB 109 — 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 ×1.050.

Result: wOBA .298 → .277; ISO .084 → .081; BABIP .319 → .304. 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 AAARojos del Aguila de Veracruz · 223 PAwOBA .270 → .247 (−23)K% 11.7% → 13.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.66%÷1.015×1.200——13.78%
BB% (unintentional) /PA5.38%÷0.931×0.690—×0.9723.87%
HBP% /PA1.35%—×0.940—×0.9721.23%
Singles /BIP28.25%÷1.005×0.930×1.050×0.97226.67%
Doubles /BIP1.69%÷1.008×0.830×1.050×0.9721.42%
Triples /BIP0.00%÷0.900×0.920×1.050×0.9720.00%
Home runs /BIP0.56%÷0.999×0.700—×0.9720.38%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 101, 2B 102, 3B 80, K 103, BB 86 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .270 → .247; ISO .030 → .023; BABIP .301 → .282. 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).

2007 ROKGCL Yankees · 75 PAwOBA .238 → .173 (−65)K% 20.0% → 28.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.00%÷1.000×1.440——28.80%
BB% (unintentional) /PA2.67%÷1.000×0.620—×0.9851.63%
HBP% /PA0.00%—×0.720—×0.9850.00%
Singles /BIP30.36%÷1.000×0.820×0.990×0.98524.28%
Doubles /BIP1.79%÷1.000×0.720×0.990×0.9851.25%
Triples /BIP0.00%÷1.000×0.720×0.990×0.9850.00%
Home runs /BIP0.00%÷1.000×0.780—×0.9850.00%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .238 → .173; ISO .014 → .009; BABIP .316 → .251. 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).

2006 DSLDSL Yankees 1 · 154 PAwOBA .317 → .222 (−95)K% 12.3% → 15.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.34%÷1.000×1.220——15.05%
BB% (unintentional) /PA6.49%÷1.000×0.700—×0.9854.48%
HBP% /PA1.95%—×0.700—×0.9851.34%
Singles /BIP27.12%÷1.000×0.680×1.050×0.98519.07%
Doubles /BIP3.39%÷1.000×0.600×1.050×0.9852.10%
Triples /BIP3.39%÷1.000×0.600×1.050×0.9852.10%
Home runs /BIP0.00%÷1.000×0.470—×0.9850.00%

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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .317 → .222; ISO .088 → .056; BABIP .336 → .231. 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 — .