Danny Espinosa

Pos2B
B/TS/R
Born1987-04-25
Age (2027)40
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201730MLBTB295.173/.247/.2786447-1.0
201831AAA/INTL2 orgs383.211/.286/.34911658—.160/.196/.253
201932AAANYM542.256/.341/.440201764—.198/.262/.340
202033No MLB games played
202134No MLB games played
202235No MLB games played
202336No MLB games played
202437No MLB games played
202538No MLB games played
202639No MLB games played
Last 3 seasons WAR -1.0
Contract
No contract data on file.
Skills · percentileStatcast 2015-2017
Speed52
Barrel%44
Avg EV39
xwOBA22

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)
200922 A+Potomac Nationals — 577474 12531418 7412913 2911 264377460837 196322 2213 364 88 — — — — — —
201023 MLBWashington Nationals — 112103 22416 9300 02 214277447723 233239 278 317 98 -0 -1 +3 +3 +2 0.7
201023 AAASyracuse Chiefs — 10895 28214 8221 53 295356463819 168338 207 350 109 — — — — — —
201023 AAHarrisburg Senators — 435386 10116418 339410 208 262335464799 202301 228 349 89 — — — — — —
201023 INTLLeones de Ponce — 9989 25632 5274 90 281347483830 202377 275 362 131 — — — — — —
201124 MLBWashington Nationals — 658573 13529521 5716619 176 236325414739 178292 259 327 106 +4 +1 +4 +2 +14 2.6
201225 MLBWashington Nationals — 658594 14737217 4618913 206 247315402718 155333 297 319 99 -1 +2 +9 +2 +14 2.7
201326 MLBWashington Nationals — 167158 25903 4473 10 158194272466 114202 282 207 25 -15 +0 +3 +2 +4 -0.6
201326 AAASyracuse Chiefs — 313283 611212 191017 61 216282286568 71324 326 259 28 — — — — — —
201427 MLBWashington Nationals — 364333 731438 1812212 81 219284351635 132319 345 287 75 -11 +1 +4 +1 +8 0.4
201528 MLBWashington Nationals — 412367 8821113 331066 52 240313409722 169299 268 318 95 -2 +0 +5 +1 +9 1.4
201629 MLBWashington Nationals — 601516 10815024 5417420 92 209308378686 169261 299 306 84 -12 +1 +3 +6 +13 1.2
201730 MLBTampa Bay Rays — 295266 461006 211095 45 173247278525 105261 377 240 47 -19 -1 +2 +1 +6 -1.0
201831 AAALehigh Valley IronPigs — 240221 43806 10694 31 195243312555 118248 294 245 20 — — — — — —
201831 INTLNaranjeros de Hermosillo — 143120 29415 18384 30 242359417776 175308 2713 349 122 — — — — — —
201932 AAASyracuse Mets — 542473 12127020 5113210 174 256341440781 184310 249 344 64 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 32672910 6441391298 24294378 6424 221298378677 157290 297 302 90 -38 +3 +32 +19 +71 9.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200922 A+ MLEPotomac Nationals — 577503 11426316 4618313 2911 227308386694 159301 328 298 88 — — — — — —
201023 MLB MLEWashington Nationals — 112104 22416 8300 02 212268442710 231239 277 313 98 -0 -1 +3 +3 +2 0.7
201023 AAA MLESyracuse Chiefs — 10899 28213 4271 53 283317414731 131338 254 329 109 — — — — — —
201023 AA MLEHarrisburg Senators — 435398 9716314 2211810 208 244300405705 161301 275 300 89 — — — — — —
201124 MLB MLEWashington Nationals — 658577 13629621 5316619 176 236320416736 180292 258 324 106 +4 +1 +4 +2 +14 2.6
201225 MLB MLEWashington Nationals — 658598 14636217 4218913 206 244308396704 152333 296 315 99 -1 +2 +9 +2 +14 2.7
201326 MLB MLEWashington Nationals — 167158 25903 4473 10 158194272466 114202 282 206 25 -15 +0 +3 +2 +4 -0.6
201326 AAA MLESyracuse Chiefs — 313288 51912 141247 61 177233236469 59294 404 210 28 — — — — — —
201427 MLB MLEWashington Nationals — 364338 741448 1312212 81 219273355628 136319 344 279 75 -11 +1 +4 +1 +8 0.4
201528 MLB MLEWashington Nationals — 412372 8821113 281066 52 237300403704 167299 267 309 95 -2 +0 +5 +1 +9 1.4
201629 MLB MLEWashington Nationals — 601528 10815024 4217420 92 205288369657 165261 297 292 84 -12 +1 +3 +6 +13 1.2
201730 MLB MLETampa Bay Rays — 295267 451006 201095 45 169240273513 105261 377 238 47 -19 -1 +2 +1 +6 -1.0
201831 AAA MLELehigh Valley IronPigs — 240225 36605 6864 31 160196253449 93223 362 198 20 — — — — — —
201932 AAA MLESyracuse Mets — 542491 9719017 3315610 174 198262340602 143241 296 263 64 — — — — — —
200922 A+ MLEPotomac Nationals — 577503 11426316 4618313 2911 227308386694 159317 328 298 88 — — — — — —
200922 A+ RAWPotomac Nationals — 577474 12531418 7412913 2911 264377460837 196322 2213 364 88 — — — — — —
201023 AA MLE4 teams — 754689 17025727 4020115 3413 247302421723 174307 275 307 94 — — — — — —
201023 AA RAW4 teams — 754673 17628930 5517315 3413 262331464794 202307 237 346 94 — — — — — —
201124 MLB MLEWashington Nationals — 658577 13629621 5316619 176 236320416736 180292 258 324 106 +4 +1 +4 +2 +14 2.6
201124 MLB RAWWashington Nationals — 658573 13529521 5716619 176 236325414739 178292 259 327 106 +4 +1 +4 +2 +14 2.6
201225 MLB MLEWashington Nationals — 658598 14636217 4218913 206 244308396704 152327 296 315 99 -1 +2 +9 +2 +14 2.7
201225 MLB RAWWashington Nationals — 658594 14737217 4618913 206 247315402718 155333 297 319 99 -1 +2 +9 +2 +14 2.7
201326 AAA MLE2 teams — 480446 761815 1817110 71 170219249468 78260 364 209 27 — — — — — —
201326 AAA RAW2 teams — 480441 862115 2314810 71 195251281532 86278 315 241 27 — — — — — —
201427 MLB MLEWashington Nationals — 364338 741448 1312212 81 219273355628 136316 344 279 75 -11 +1 +4 +1 +8 0.4
201427 MLB RAWWashington Nationals — 364333 731438 1812212 81 219284351635 132319 345 287 75 -11 +1 +4 +1 +8 0.4
201528 MLB MLEWashington Nationals — 412372 8821113 281066 52 237300403704 167293 267 309 95 -2 +0 +5 +1 +9 1.4
201528 MLB RAWWashington Nationals — 412367 8821113 331066 52 240313409722 169299 268 318 95 -2 +0 +5 +1 +9 1.4
201629 MLB MLEWashington Nationals — 601528 10815024 4217420 92 205288369657 165251 297 292 84 -12 +1 +3 +6 +13 1.2
201629 MLB RAWWashington Nationals — 601516 10815024 5417420 92 209308378686 169261 299 306 84 -12 +1 +3 +6 +13 1.2
201730 MLB MLETampa Bay Rays — 295267 451006 201095 45 169240273513 105253 377 238 47 -19 -1 +2 +1 +6 -1.0
201730 MLB RAWTampa Bay Rays — 295266 461006 211095 45 173247278525 105261 377 240 47 -19 -1 +2 +1 +6 -1.0
201831 AAA MLE2 teams — 383360 591008 91378 61 164202258460 94233 362 198 20 — — — — — —
201831 AAA RAW2 teams — 383341 7212111 281078 61 211286349635 138269 287 284 20 — — — — — —
201932 AAA MLESyracuse Mets — 542491 9719017 3315610 174 198262340602 143248 296 263 64 — — — — — —
201932 AAA RAWSyracuse Mets — 542473 12127020 5113210 174 256341440781 184310 249 344 64 — — — — — —
200922 A+ MLEPotomac Nationals — 577513 11426316 4618313 2911 222308378686 156301 328 298 88 — — — — — —
201023 AA MLE4 teams — 754693 17025727 4020115 3413 245302418721 173296 275 307 94 — — — — — —
201124 MLB MLEWashington Nationals — 658581 13629621 5316619 176 234320413734 179292 258 324 106 — — — — — —
201225 MLB MLEWashington Nationals — 658598 14636217 4218913 206 244308396704 152333 296 315 99 — — — — — —
201326 AAA MLE2 teams — 480449 761815 1817110 71 169219247467 78262 364 209 27 — — — — — —
201427 MLB MLEWashington Nationals — 364336 741448 1312212 81 220273357630 137319 344 279 75 — — — — — —
201528 MLB MLEWashington Nationals — 412375 8821113 281066 52 235300400700 165299 267 309 95 — — — — — —
201629 MLB MLEWashington Nationals — 601534 10815024 4217420 92 202288365653 163261 297 292 84 — — — — — —
201730 MLB MLETampa Bay Rays — 295268 451006 201095 45 168240272512 104261 377 238 47 — — — — — —
201831 AAA MLE2 teams — 383363 591008 91378 61 163202256458 94223 362 198 20 — — — — — —
201932 AAA MLESyracuse Mets — 542494 9719017 3315610 174 196262338600 142241 296 263 64 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 32672910 6441391298 24294378 6424 221298378677 157290 297 302 77 -38 +3 +32 +19 +71 9.0
/ 162G— A+C — 650579 12828219 4818816 135 221299375673 154291 297 302 77 -8 +1 +6 +4 +14 1.8
Career— MLE — 57245169 111322324162 3441714131 15652 215281362643 146285 306 283 77 -38 +3 +32 +19 +71 9.0
/ 162G— MLE — 650587 12625318 3919515 186 215281359640 145286 306 283 77 -8 +1 +6 +4 +14 1.8

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.

2019 AAASyracuse Mets · 542 PAwOBA .335 → .263 (−73)K% 24.4% → 28.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.35%÷1.020×1.200——28.66%
BB% (unintentional) /PA8.86%÷0.966×0.690—×0.9526.02%
HBP% /PA1.85%—×0.940—×0.9521.65%
Singles /BIP21.70%÷1.042×0.930×0.954×0.95217.60%
Doubles /BIP7.92%÷1.060×0.830×0.954×0.9525.63%
Triples /BIP0.00%÷0.900×0.970×0.954×0.9520.00%
Home runs /BIP5.87%÷0.960×0.840—×0.9524.89%

Factors used: league row IL. Park (home-season share, regressed): HR 92, 1B 108, 2B 112, 3B 80, K 104, BB 93 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.954.

Result: wOBA .335 → .263; ISO .184 → .148; BABIP .310 → .241. 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).

2018 AAALehigh Valley IronPigs · 240 PAwOBA .238 → .198 (−39)K% 28.7% → 35.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.75%÷0.962×1.200——35.85%
BB% (unintentional) /PA3.33%÷0.932×0.690—×0.9622.37%
HBP% /PA1.67%—×0.940—×0.9621.51%
Singles /BIP19.08%÷1.000×0.930×1.030×0.96217.58%
Doubles /BIP5.26%÷0.971×0.830×1.030×0.9624.46%
Triples /BIP0.00%÷0.900×0.970×1.030×0.9620.00%
Home runs /BIP3.95%÷0.954×0.840—×0.9623.34%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 100, 2B 94, 3B 80, K 92, BB 86 — 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 ×1.030.

Result: wOBA .238 → .198; ISO .118 → .095; BABIP .248 → .223. 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 AAASyracuse Chiefs · 313 PAwOBA .255 → .210 (−44)K% 32.3% → 39.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA32.27%÷0.979×1.200——39.57%
BB% (unintentional) /PA6.07%÷0.966×0.690—×1.0184.41%
HBP% /PA2.24%—×0.940—×1.0182.14%
Singles /BIP25.27%÷0.991×0.930×0.969×1.01823.40%
Doubles /BIP6.59%÷0.979×0.830×0.969×1.0185.52%
Triples /BIP0.55%÷1.055×0.970×0.969×1.0180.50%
Home runs /BIP1.10%÷0.914×0.840—×1.0181.03%

Factors used: league row IL. Park (home-season share, regressed): HR 83, 1B 98, 2B 96, 3B 111, K 96, BB 93 — 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 ×0.969.

Result: wOBA .255 → .210; ISO .071 → .057; BABIP .324 → .294. 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 AAHarrisburg Senators · 435 PAwOBA .341 → .300 (−41)K% 21.6% → 27.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.61%÷0.971×1.220——27.14%
BB% (unintentional) /PA7.59%÷1.066×0.700—×1.0275.11%
HBP% /PA2.30%—×0.850—×1.0272.01%
Singles /BIP21.58%÷1.016×0.970×1.050×1.02722.21%
Doubles /BIP5.48%÷0.930×0.860×1.050×1.0275.46%
Triples /BIP1.37%÷1.150×0.950×1.050×1.0271.22%
Home runs /BIP6.16%÷1.033×0.780—×1.0274.78%

Factors used: league row EL. Park (home-season share, regressed): HR 107, 1B 103, 2B 86, 3B 130, K 94, BB 113 — 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 .341 → .300; ISO .202 → .165; BABIP .301 → .301. 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 AAASyracuse Chiefs · 108 PAwOBA .341 → .329 (−12)K% 20.4% → 25.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.37%÷0.980×1.200——24.95%
BB% (unintentional) /PA5.56%÷1.027×0.690—×1.0503.92%
HBP% /PA0.93%—×0.940—×1.0500.91%
Singles /BIP28.77%÷0.999×0.930×1.040×1.05029.22%
Doubles /BIP2.74%÷1.043×0.830×1.040×1.0502.38%
Triples /BIP1.37%÷0.918×0.970×1.040×1.0501.58%
Home runs /BIP5.48%÷1.055×0.840—×1.0504.58%

Factors used: league row IL. Park (home-season share, regressed): HR 111, 1B 100, 2B 109, 3B 84, K 96, BB 105 — 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 ×1.040.

Result: wOBA .341 → .329; ISO .168 → .154; BABIP .338 → .338. 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 A+Potomac Nationals · 577 PAwOBA .357 → .298 (−59)K% 22.4% → 31.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.36%÷1.000×1.420——31.75%
BB% (unintentional) /PA12.48%÷1.000×0.630—×1.0127.96%
HBP% /PA2.25%—×0.860—×1.0121.96%
Singles /BIP20.87%÷1.000×0.940×1.028×1.01220.40%
Doubles /BIP8.99%÷1.000×0.830×1.028×1.0127.76%
Triples /BIP1.16%÷1.000×0.800×1.028×1.0120.96%
Home runs /BIP5.22%÷1.000×0.900—×1.0124.75%

Factors used: league row CAR. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.028.

Result: wOBA .357 → .298; ISO .196 → .170; BABIP .322 → .301. 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 — .