Jobduan Morales

PosC
B/TS/R
Born1991-06-07
Age (2027)36
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2015
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201322A/INTL2 orgs310.183/.296/.2562230—.132/.215/.187
201423A+/A/INTL3 orgs341.232/.316/.3465252—.204/.265/.312
201524A+/INTL2 orgs105.207/.291/.2170031—.188/.235/.188
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)
200918 ROKGCL Marlins — 133110 25500 18241 00 227341273614 45281 1814 284 32 — — — — — —
201019 ROKGCL Marlins — 135116 36710 15200 00 310389388777 78367 1511 344 69 — — — — — —
201019 INTLGigantes de Carolina — 3330 10310 260 00 333375500875 167417 186 372 138 — — — — — —
201120 INTLGigantes de Carolina — 5444 12100 680 00 273360295655 23308 1511 286 79 — — — — — —
201221 ALexington Legends — 6863 17200 3160 00 270303302605 32347 244 268 47 — — — — — —
201221 INTLGigantes de Carolina — 5142 11101 6101 00 262367357724 95312 2012 322 104 — — — — — —
201322 AQuad Cities River Bandits — 246209 35812 33670 10 167281244525 77236 2713 247 15 — — — — — —
201322 INTLGigantes de Carolina — 6453 13300 9110 10 245355302657 57310 1714 300 89 — — — — — —
201423 A+Lancaster JetHawks — 195171 37814 19500 10 216295345640 129270 2610 283 38 — — — — — —
201423 AQuad Cities River Bandits — 8271 22701 10200 10 310395451846 141412 2412 375 87 — — — — — —
201423 INTLGigantes de Carolina — 6456 10200 8140 00 179281214496 36238 2212 240 49 — — — — — —
201524 A+Lancaster JetHawks — 5146 10000 590 00 217294217512 270 1810 246 17 — — — — — —
201524 INTLGigantes de Carolina — 5446 9100 6150 00 196288217506 22290 2811 235 45 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200918 ROK MLEGCL Marlins — 133117 21400 11351 00 179256214469 34233 268 216 32 — — — — — —
201019 ROK MLEGCL Marlins — 135122 30510 9290 00 246298303601 57310 217 270 69 — — — — — —
201221 A MLELexington Legends — 6864 16200 2200 00 250273281554 31328 293 238 47 — — — — — —
201322 A MLEQuad Cities River Bandits — 246219 29711 23880 10 132215187402 55212 369 190 15 — — — — — —
201423 A+ MLELancaster JetHawks — 195176 32713 14710 10 182242284526 102250 367 225 38 — — — — — —
201423 A MLEQuad Cities River Bandits — 8274 19601 7270 10 257321378699 122373 339 297 87 — — — — — —
201524 A+ MLELancaster JetHawks — 5148 9000 3130 00 188235188423 247 256 193 17 — — — — — —
200918 ROK MLEGCL Marlins — 133117 21400 11351 00 179256214469 34247 268 216 32 — — — — — —
200918 ROK RAWGCL Marlins — 133110 25500 18241 00 227341273614 45281 1814 284 32 — — — — — —
201019 ROK MLE2 teams — 168151 38710 12360 00 252307311618 60325 217 270 69 — — — — — —
201019 ROK RAW2 teams — 168146 461020 17260 00 315387411797 96377 1510 349 69 — — — — — —
201120 INTL MLEGigantes de Carolina — 5444 12100 680 00 273360295655 23308 1511 — — — — — — — —
201120 INTL RAWGigantes de Carolina — 5444 12100 680 00 273360295655 23308 1511 286 79 — — — — — —
201221 A MLE2 teams — 119111 27300 3361 00 243270270540 27346 303 238 47 — — — — — —
201221 A RAW2 teams — 119105 28301 9261 00 267330324654 57333 228 291 47 — — — — — —
201322 A MLE2 teams — 310275 38912 291110 20 138220200420 62222 369 190 15 — — — — — —
201322 A RAW2 teams — 310262 481112 42780 20 183296256552 73253 2514 258 15 — — — — — —
201423 A+ MLE3 teams — 341310 611514 251210 20 197257290547 94298 357 246 53 — — — — — —
201423 A+ RAW3 teams — 341298 691715 37840 20 232316346662 114298 2511 297 53 — — — — — —
201524 INTL MLE2 teams — 10596 18000 7270 00 188243188430 261 267 193 17 — — — — — —
201524 INTL RAW2 teams — 10592 19100 11240 00 207291217509 11279 2310 240 17 — — — — — —
200918 ROK MLEGCL Marlins — 133120 21400 11351 00 175256208464 33233 268 216 32 — — — — — —
201019 ROK MLE2 teams — 168154 38710 12360 00 247307305612 58310 217 270 69 — — — — — —
201221 A MLE2 teams — 119114 27300 3361 00 237270263533 26328 303 238 47 — — — — — —
201322 A MLE2 teams — 310278 38912 291110 20 137220198418 61212 369 190 15 — — — — — —
201423 A+ MLE3 teams — 341313 611514 251210 20 195257288544 93286 357 246 53 — — — — — —
201524 INTL MLE2 teams — 10597 18000 7270 00 186243186428 247 267 193 17 — — — — — —
▸ Career Totals
Career— MLE — 12301104 2153936 933742 40 195259252510 57282 308 216 32 -99 +1 +0 +22 +27 -5.1
/ 162G— MLE — 650583 1142123 491981 20 196259254513 58284 308 216 32 -52 +0 +0 +12 +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.

2015 A+Lancaster JetHawks · 51 PAwOBA .240 → .193 (−47)K% 17.6% → 25.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.65%÷0.924×1.340——25.60%
BB% (unintentional) /PA9.80%÷1.031×0.710—×0.9886.67%
HBP% /PA0.00%—×0.790—×0.9880.00%
Singles /BIP27.03%÷0.985×0.910—×0.98824.68%
Doubles /BIP0.00%÷1.005×0.820—×0.9880.00%
Triples /BIP0.00%÷1.150×0.760—×0.9880.00%
Home runs /BIP0.00%÷0.964×0.920—×0.9880.00%

Factors used: league row CAL. Park (home-season share, regressed): HR 93, 1B 97, 2B 101, 3B 130, K 85, BB 106 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .240 → .193; ISO .000 → .000; BABIP .270 → .247. 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 A+Lancaster JetHawks · 195 PAwOBA .283 → .225 (−58)K% 25.6% → 36.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.64%÷0.948×1.340——36.26%
BB% (unintentional) /PA9.74%÷0.987×0.710—×0.9987.00%
HBP% /PA0.00%—×0.790—×0.9980.00%
Singles /BIP19.83%÷0.999×0.910×1.050×0.99818.93%
Doubles /BIP6.61%÷0.963×0.820×1.050×0.9985.90%
Triples /BIP0.83%÷0.915×0.760×1.050×0.9980.72%
Home runs /BIP3.31%÷1.234×0.920—×0.9982.46%

Factors used: league row CAL. Park (home-season share, regressed): HR 147, 1B 100, 2B 93, 3B 83, K 90, BB 97 — 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 ×1.050.

Result: wOBA .283 → .225; ISO .129 → .095; BABIP .270 → .250. 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 AQuad Cities River Bandits · 82 PAwOBA .370 → .297 (−73)K% 24.4% → 33.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.39%÷1.004×1.360——33.05%
BB% (unintentional) /PA12.20%÷1.005×0.690—×0.9908.29%
HBP% /PA0.00%—×0.780—×0.9900.00%
Singles /BIP27.45%÷1.003×0.920×1.037×0.99025.84%
Doubles /BIP13.73%÷0.999×0.830×1.037×0.99011.70%
Triples /BIP0.00%÷1.013×0.910×1.037×0.9900.00%
Home runs /BIP1.96%÷1.084×0.800—×0.9901.43%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 101, 2B 100, 3B 103, K 101, BB 101 — 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 ×1.037.

Result: wOBA .370 → .297; ISO .141 → .108; BABIP .412 → .373. 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 AQuad Cities River Bandits · 246 PAwOBA .242 → .190 (−51)K% 27.2% → 35.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.24%÷1.032×1.360——35.90%
BB% (unintentional) /PA13.41%÷0.993×0.690——9.32%
HBP% /PA0.00%—×0.780——0.00%
Singles /BIP16.90%÷1.047×0.920×1.022—15.18%
Doubles /BIP5.63%÷0.920×0.830×1.022—5.20%
Triples /BIP0.70%÷1.070×0.910×1.022—0.61%
Home runs /BIP1.41%÷1.034×0.800——1.09%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 109, 2B 84, 3B 114, K 106, BB 99 — 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 ×1.022.

Result: wOBA .242 → .190; ISO .077 → .062; BABIP .236 → .212. 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 ALexington Legends · 68 PAwOBA .269 → .238 (−31)K% 23.5% → 30.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.53%÷1.046×1.340——30.14%
BB% (unintentional) /PA4.41%÷1.016×0.660—×1.0152.91%
HBP% /PA0.00%—×0.770—×1.0150.00%
Singles /BIP31.91%÷0.992×0.920×1.020×1.01530.64%
Doubles /BIP4.26%÷0.998×0.820×1.020×1.0153.62%
Triples /BIP0.00%÷0.900×0.940×1.020×1.0150.00%
Home runs /BIP0.00%÷1.064×0.820—×1.0150.00%

Factors used: league row SAL. Park (home-season share, regressed): HR 113, 1B 98, 2B 100, 3B 80, K 109, BB 103 — 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 ×1.020.

Result: wOBA .269 → .238; ISO .032 → .026; BABIP .347 → .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).

2010 ROKGCL Marlins · 135 PAwOBA .340 → .270 (−70)K% 14.8% → 21.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.81%÷1.000×1.440——21.33%
BB% (unintentional) /PA11.11%÷1.000×0.620—×1.0086.94%
HBP% /PA0.00%—×0.720—×1.0080.00%
Singles /BIP29.17%÷1.000×0.820×1.050×1.00825.30%
Doubles /BIP7.29%÷1.000×0.720×1.050×1.0085.55%
Triples /BIP1.04%÷1.000×0.720×1.050×1.0080.79%
Home runs /BIP0.00%÷1.000×0.780—×1.0080.00%

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 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 ×1.050.

Result: wOBA .340 → .270; ISO .078 → .060; BABIP .367 → .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).

2009 ROKGCL Marlins · 133 PAwOBA .284 → .216 (−68)K% 18.0% → 26.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.05%÷1.000×1.440——25.98%
BB% (unintentional) /PA13.53%÷1.000×0.620—×1.0228.58%
HBP% /PA0.75%—×0.720—×1.0220.55%
Singles /BIP23.26%÷1.000×0.820×1.014×1.02219.77%
Doubles /BIP5.81%÷1.000×0.720×1.014×1.0224.34%
Triples /BIP0.00%÷1.000×0.720×1.014×1.0220.00%
Home runs /BIP0.00%÷1.000×0.780—×1.0220.00%

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 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.

Result: wOBA .284 → .216; ISO .045 → .034; BABIP .281 → .233. 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 — .