Steve Lombardozzi Jr.

Pos2B
B/TS/R
Born1988-09-20
Age (2027)38
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201728AAANew Orleans B…445.274/.339/.33921357—.235/.282/.293
201829AAAMIL480.243/.329/.3011450—.213/.275/.259
201930INTLAlgodoneros d…43.212/.366/.2730186—
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)
200819 ROKGCL Nationals — 184152 43410 21322 41 283377322700 39350 1711 311 53 — — — — — —
200920 AHagerstown Suns — 576496 1472673 62805 167 296380395775 99343 1411 344 88 — — — — — —
201021 AAHarrisburg Senators — 118105 31525 12151 42 295373524897 229306 1310 393 120 — — — — — —
201021 A+Potomac Nationals — 507440 1293091 49606 2010 293372409781 116336 1210 344 88 — — — — — —
201021 INTLScottsdale Scorpions — 9682 24820 1083 23 293389439828 146320 810 368 135 — — — — — —
201122 MLBWashington Nationals — 3231 6100 140 00 194219226445 32222 123 203 23 -3 +0 +0 +2 +1 0.1
201122 AAASyracuse Chiefs — 325294 911324 21401 145 310358408766 99344 126 335 96 — — — — — —
201122 AAHarrisburg Senators — 291262 811274 18386 163 309367454821 145348 136 359 118 — — — — — —
201223 MLBWashington Nationals — 416384 1051633 19466 53 273318354672 81304 115 299 89 -6 -0 -2 +1 +9 0.3
201324 MLBWashington Nationals — 307290 751512 8341 43 259281338619 79284 113 270 68 -12 -0 -1 +1 +7 -0.6
201425 MLBBaltimore Orioles — 7473 21110 0141 10 288297329626 41356 190 281 75 -2 +0 +0 +1 +2 0.1
201425 AAANorfolk Tides — 295270 73910 17320 64 270314311625 41299 116 278 59 — — — — — —
201526 AAAIndianapolis Indians — 394355 1001500 32404 144 282348324672 42316 108 308 57 — — — — — —
201627 AAASyracuse Chiefs — 246225 57710 15270 30 253300293593 40286 116 266 36 — — — — — —
201728 AAANew Orleans Baby Cakes — 445401 1101622 38601 136 274339339678 65317 139 307 57 — — — — — —
201829 AAANashville Sounds — 480412 1001531 51642 47 243329301630 58278 1311 284 50 — — — — — —
201930 INTLAlgodoneros de Guasave — 4333 7200 8120 10 212366273639 61318 2819 295 86 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 829778 2073355 28988 106 266299341639 75297 123 283 78 -22 -0 -3 +6 +18 -0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200819 ROK MLEGCL Nationals — 184160 38310 13462 41 237303269572 31295 257 246 53 — — — — — —
200920 A MLEHagerstown Suns — 576517 1412373 411075 167 273332362694 89321 197 299 88 — — — — — —
201021 AA MLEHarrisburg Senators — 118109 31524 8191 42 284339477816 193310 167 346 120 — — — — — —
201021 A+ MLEPotomac Nationals — 507457 1242581 32876 2010 271327368695 96319 176 298 88 — — — — — —
201122 MLB MLEWashington Nationals — 3231 6100 140 00 194219226445 32222 123 203 23 -3 +0 +0 +2 +1 0.1
201122 AAA MLESyracuse Chiefs — 325301 891124 14491 145 296329385714 90329 154 310 96 — — — — — —
201122 AA MLEHarrisburg Senators — 291267 831183 13466 163 311357446802 135357 164 343 118 — — — — — —
201223 MLB MLEWashington Nationals — 416385 1061643 18466 53 275318361679 86304 114 299 89 -6 -0 -2 +1 +9 0.3
201324 MLB MLEWashington Nationals — 307291 751512 7341 43 258278337614 79284 112 268 68 -12 -0 -1 +1 +7 -0.6
201425 MLB MLEBaltimore Orioles — 7473 21110 0141 10 288297329626 41356 190 279 75 -2 +0 +0 +1 +2 0.1
201425 AAA MLENorfolk Tides — 295277 71910 10370 64 256282296578 40279 133 255 59 — — — — — —
201526 AAA MLEIndianapolis Indians — 394368 891200 19494 144 242286274561 33276 125 253 57 — — — — — —
201627 AAA MLESyracuse Chiefs — 246231 51610 9340 30 221250255505 35250 144 221 36 — — — — — —
201728 AAA MLENew Orleans Baby Cakes — 445413 971422 26801 136 235282293575 58280 186 252 57 — — — — — —
201829 AAA MLENashville Sounds — 480428 911321 35782 47 213275259535 47243 167 242 50 — — — — — —
200819 ROK MLEGCL Nationals — 184160 38310 13462 41 237303269572 31325 257 246 53 — — — — — —
200819 ROK RAWGCL Nationals — 184152 43410 21322 41 283377322700 39350 1711 311 53 — — — — — —
200920 A MLEHagerstown Suns — 576517 1412373 411075 167 273332362694 89333 197 299 88 — — — — — —
200920 A RAWHagerstown Suns — 576496 1472673 62805 167 296380395775 99343 1411 344 88 — — — — — —
201021 A+ MLE3 teams — 721651 17734116 4712210 2615 272331386716 114325 177 307 94 — — — — — —
201021 A+ RAW3 teams — 721627 18443136 718310 2615 293374432807 139329 1210 355 94 — — — — — —
201122 AAA MLE3 teams — 648600 17924107 27987 308 298336407743 108345 154 320 102 — — — — — —
201122 AAA RAW3 teams — 648587 1782698 40827 308 303355419774 116339 136 339 102 — — — — — —
201223 MLB MLEWashington Nationals — 416385 1061643 18466 53 275318361679 86306 114 299 89 -6 -0 -2 +1 +9 0.3
201223 MLB RAWWashington Nationals — 416384 1051633 19466 53 273318354672 81304 115 299 89 -6 -0 -2 +1 +9 0.3
201324 MLB MLEWashington Nationals — 307291 751512 7341 43 258278337614 79283 112 268 68 -12 -0 -1 +1 +7 -0.6
201324 MLB RAWWashington Nationals — 307290 751512 8341 43 259281338619 79284 113 270 68 -12 -0 -1 +1 +7 -0.6
201425 AAA MLE2 teams — 369350 911020 10511 74 260283300583 40298 143 260 62 — — — — — —
201425 AAA RAW2 teams — 369343 941020 17461 74 274310315625 41310 125 279 62 — — — — — —
201526 AAA MLEIndianapolis Indians — 394368 891200 19494 144 242286274561 33278 125 253 57 — — — — — —
201526 AAA RAWIndianapolis Indians — 394355 1001500 32404 144 282348324672 42316 108 308 57 — — — — — —
201627 AAA MLESyracuse Chiefs — 246231 51610 9340 30 221250255505 35258 144 221 36 — — — — — —
201627 AAA RAWSyracuse Chiefs — 246225 57710 15270 30 253300293593 40286 116 266 36 — — — — — —
201728 AAA MLENew Orleans Baby Cakes — 445413 971422 26801 136 235282293575 58285 186 252 57 — — — — — —
201728 AAA RAWNew Orleans Baby Cakes — 445401 1101622 38601 136 274339339678 65317 139 307 57 — — — — — —
201829 AAA MLENashville Sounds — 480428 911321 35782 47 213275259535 47251 167 242 50 — — — — — —
201829 AAA RAWNashville Sounds — 480412 1001531 51642 47 243329301630 58278 1311 284 50 — — — — — —
201930 INTL MLEAlgodoneros de Guasave — 4333 7200 8120 10 212366273639 61318 2819 — — — — — — — —
201930 INTL RAWAlgodoneros de Guasave — 4333 7200 8120 10 212366273639 61318 2819 295 86 — — — — — —
200819 ROK MLEGCL Nationals — 184167 38310 13462 41 228303257560 30295 257 246 53 — — — — — —
200920 A MLEHagerstown Suns — 576525 1412373 411075 167 269332356688 88321 197 299 88 — — — — — —
201021 A+ MLE3 teams — 721658 17734116 4712210 2615 269331381712 112317 177 307 94 — — — — — —
201122 AAA MLE3 teams — 648609 17924107 27987 308 294336401737 107336 154 320 102 — — — — — —
201223 MLB MLEWashington Nationals — 416389 1061643 18466 53 272318357675 85304 114 299 89 — — — — — —
201324 MLB MLEWashington Nationals — 307296 751512 7341 43 253278331609 78284 112 268 68 — — — — — —
201425 AAA MLE2 teams — 369355 911020 10511 74 256283296578 39294 143 260 62 — — — — — —
201526 AAA MLEIndianapolis Indians — 394368 891200 19494 144 242286274561 33276 125 253 57 — — — — — —
201627 AAA MLESyracuse Chiefs — 246235 51610 9340 30 217250251501 34250 144 221 36 — — — — — —
201728 AAA MLENew Orleans Baby Cakes — 445415 971422 26801 136 234282292573 58280 186 252 57 — — — — — —
201829 AAA MLENashville Sounds — 480440 911321 35782 47 207275252528 45243 167 242 50 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 829778 2073355 28988 106 266299341639 75297 123 283 73 -22 -0 -3 +6 +18 -0.1
/ 162G— A+C — 650610 1632644 22776 85 267299343642 75299 123 283 73 -17 -0 -2 +5 +14 -0.1
Career— MLE — 48294427 11421724124 26075739 12758 258305332637 74303 165 276 73 -22 -0 -3 +6 +18 -0.1
/ 162G— MLE — 650596 1542363 351025 178 258305332637 74304 165 276 73 -17 -0 -2 +5 +14 -0.1

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.

2018 AAANashville Sounds · 480 PAwOBA .281 → .242 (−40)K% 13.3% → 16.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.33%÷1.055×1.290——16.30%
BB% (unintentional) /PA10.21%÷0.966×0.710—×0.9727.29%
HBP% /PA0.42%—×0.980—×0.9720.40%
Singles /BIP23.28%÷0.986×0.900×1.000×0.97220.66%
Doubles /BIP4.31%÷0.937×0.810×1.000×0.9723.62%
Triples /BIP0.86%÷1.150×0.810×1.000×0.9720.59%
Home runs /BIP0.29%÷0.988×0.780—×0.9720.22%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 97, 2B 87, 3B 130, K 111, BB 93 — 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 ×1.000.

Result: wOBA .281 → .242; ISO .058 → .048; BABIP .278 → .243. 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 AAANew Orleans Baby Cakes · 445 PAwOBA .300 → .252 (−48)K% 13.5% → 17.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.48%÷0.971×1.290——17.91%
BB% (unintentional) /PA8.31%÷1.005×0.710—×0.9825.77%
HBP% /PA0.22%—×0.980—×0.9820.22%
Singles /BIP26.39%÷1.015×0.900×1.018×0.98223.39%
Doubles /BIP4.69%÷0.918×0.810×1.018×0.9824.14%
Triples /BIP0.59%÷0.977×0.810×1.018×0.9820.49%
Home runs /BIP0.59%÷0.928×0.780—×0.9820.48%

Factors used: league row PCL. Park (home-season share, regressed): HR 86, 1B 103, 2B 84, 3B 95, K 94, BB 101 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .300 → .252; ISO .065 → .055; BABIP .317 → .280. 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 AAASyracuse Chiefs · 246 PAwOBA .260 → .221 (−39)K% 11.0% → 13.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.98%÷0.949×1.200——13.88%
BB% (unintentional) /PA6.10%÷1.110×0.690—×0.9923.76%
HBP% /PA0.00%—×0.940—×0.9920.00%
Singles /BIP24.75%÷1.048×0.930×0.992×0.99221.61%
Doubles /BIP3.54%÷0.959×0.830×0.992×0.9923.01%
Triples /BIP0.51%÷0.900×0.970×0.992×0.9920.54%
Home runs /BIP0.00%÷0.978×0.840—×0.9920.00%

Factors used: league row IL. Park (home-season share, regressed): HR 96, 1B 110, 2B 92, 3B 80, K 90, BB 122 — 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 ×0.992.

Result: wOBA .260 → .221; ISO .040 → .037; BABIP .286 → .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).

2015 AAAIndianapolis Indians · 394 PAwOBA .299 → .253 (−47)K% 10.2% → 12.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.15%÷0.977×1.200——12.47%
BB% (unintentional) /PA7.61%÷1.077×0.690—×1.0034.89%
HBP% /PA1.02%—×0.940—×1.0030.96%
Singles /BIP26.98%÷1.044×0.930×0.993×1.00323.94%
Doubles /BIP4.76%÷1.050×0.830×0.993×1.0033.75%
Triples /BIP0.00%÷1.041×0.970×0.993×1.0030.00%
Home runs /BIP0.00%÷0.847×0.840—×1.0030.00%

Factors used: league row IL. Park (home-season share, regressed): HR 69, 1B 109, 2B 110, 3B 108, K 95, BB 115 — 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 ×0.993.

Result: wOBA .299 → .253; ISO .042 → .034; BABIP .316 → .276. 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 · 295 PAwOBA .274 → .255 (−19)K% 10.8% → 12.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.85%÷1.025×1.200——12.71%
BB% (unintentional) /PA5.08%÷1.025×0.690—×1.0183.49%
HBP% /PA0.00%—×0.940—×1.0180.00%
Singles /BIP26.47%÷1.027×0.930×1.005×1.01824.54%
Doubles /BIP3.78%÷0.899×0.830×1.005×1.0183.57%
Triples /BIP0.42%÷1.007×0.970×1.005×1.0180.41%
Home runs /BIP0.00%÷1.223×0.840—×1.0180.00%

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 ×1.005.

Result: wOBA .274 → .255; ISO .041 → .040; BABIP .299 → .279. 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 AAASyracuse Chiefs · 325 PAwOBA .327 → .310 (−17)K% 12.3% → 15.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.31%÷0.986×1.200——14.99%
BB% (unintentional) /PA5.85%÷1.012×0.690—×1.0504.19%
HBP% /PA0.31%—×0.940—×1.0500.30%
Singles /BIP28.35%÷1.000×0.930×0.994×1.05027.52%
Doubles /BIP5.12%÷1.018×0.830×0.994×1.0504.35%
Triples /BIP0.79%÷0.900×0.970×0.994×1.0500.89%
Home runs /BIP1.57%÷0.921×0.840—×1.0501.51%

Factors used: league row IL. Park (home-season share, regressed): HR 84, 1B 100, 2B 104, 3B 80, K 97, BB 102 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .327 → .310; ISO .099 → .095; BABIP .344 → .329. 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 AAHarrisburg Senators · 291 PAwOBA .351 → .343 (−8)K% 13.1% → 15.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.06%÷1.014×1.220——15.71%
BB% (unintentional) /PA6.19%÷1.023×0.700—×1.0274.35%
HBP% /PA2.06%—×0.850—×1.0271.80%
Singles /BIP25.89%÷0.981×0.970×1.026×1.02726.96%
Doubles /BIP5.36%÷0.976×0.860×1.026×1.0274.97%
Triples /BIP3.12%÷0.934×0.950×1.026×1.0273.35%
Home runs /BIP1.79%÷0.936×0.780—×1.0271.53%

Factors used: league row EL. Park (home-season share, regressed): HR 87, 1B 96, 2B 95, 3B 87, K 103, BB 105 — 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 ×1.026.

Result: wOBA .351 → .343; ISO .145 → .141; BABIP .348 → .357. 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 A+Potomac Nationals · 507 PAwOBA .336 → .298 (−37)K% 11.8% → 17.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.83%÷0.982×1.420——17.12%
BB% (unintentional) /PA9.47%÷0.936×0.630—×1.0126.45%
HBP% /PA1.18%—×0.860—×1.0121.03%
Singles /BIP23.42%÷0.998×0.940×1.050×1.01223.45%
Doubles /BIP7.89%÷1.079×0.830×1.050×1.0126.45%
Triples /BIP2.37%÷0.965×0.800×1.050×1.0122.09%
Home runs /BIP0.26%÷0.940×0.900—×1.0120.25%

Factors used: league row CAR. Park (home-season share, regressed): HR 88, 1B 100, 2B 116, 3B 93, K 96, BB 87 — 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 ×1.050.

Result: wOBA .336 → .298; ISO .116 → .099; BABIP .336 → .319. 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 — .