Danny Worth

Pos2B
B/TR/R
Born1985-09-30
Age (2027)41
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201428AAADET251.211/.296/.3001925—.167/.224/.236
201428MLBDET46.167/.222/.19000180.2
201529AAAARI399.314/.395/.4696673—.231/.295/.330
201630AAACOL368.330/.438/.525115104—.255/.338/.386
201630MLBHOU40.179/.200/.23100150.1
201731No MLB games played
201832No MLB games played
201933No MLB games played
202034No MLB games played
202135No MLB games played
202236No MLB games played
202337No MLB games played
202438No MLB games played
202539No MLB games played
202640No MLB games played
Last 3 seasons WAR 0.3
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)
200721 AAErie SeaWolves — 1614 6210 110 10 4294677141.181 286429 66 475 224 — — — — — —
200721 A+Lakeland Flying Tigers — 192171 43922 18391 60 251326363689 111313 209 309 64 — — — — — —
200822 AAErie SeaWolves — 336295 751835 32593 80 254333386720 132300 1810 319 80 — — — — — —
200923 AAAToledo Mud Hens — 162151 32410 11400 31 212265252517 40288 257 240 19 — — — — — —
200923 AAErie SeaWolves — 318285 681730 26743 45 239309319628 81321 238 284 52 — — — — — —
201024 MLBDetroit Tigers — 115106 27502 6130 12 255295358653 104275 115 286 83 -2 -1 +4 +3 +2 0.7
201024 AAAToledo Mud Hens — 177164 47502 10292 122 287335354689 67336 166 312 71 — — — — — —
201125 MLBDetroit Tigers — 3937 10200 290 00 270308324632 54357 235 287 83 -1 +0 -0 +1 +1 0.1
201125 AAAToledo Mud Hens — 357309 791948 36863 132 256339421760 165329 2410 331 76 — — — — — —
201125 INTLTiburones de La Guaira — 2018 7102 161 00 3894507781.228 389500 305 525 241 — — — — — —
201226 MLBDetroit Tigers — 9074 16300 13230 00 216333257590 41308 2614 274 74 -3 +0 -0 +1 +2 0.0
201226 AAAToledo Mud Hens — 255216 571525 31584 105 264367421788 157335 2312 350 79 — — — — — —
201327 AAAToledo Mud Hens — 345305 681921 35911 95 223305308613 85315 2610 280 38 — — — — — —
201327 A+Lakeland Flying Tigers — 1717 3100 030 00 176176235412 59214 180 182 -15 — — — — — —
201428 MLBDetroit Tigers — 4642 7100 2121 01 167222190413 24226 264 192 18 -5 -0 +3 +3 +1 0.2
201428 AAAToledo Mud Hens — 251223 471511 27870 90 211296300596 90341 3511 275 25 — — — — — —
201529 AAAReno Aces — 399350 1103036 46991 62 314395469864 154423 2512 383 73 — — — — — —
201630 MLBHouston Astros — 4039 7200 160 00 179200231431 51212 152 195 15 -4 +0 +2 +1 +1 0.1
201630 AAAFresno Grizzlies — 368303 10022211 54724 51 330438525962 195394 2015 418 104 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 330298 671302 24631 13 225285289573 64277 197 259 61 -15 -1 +8 +10 +7 1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200721 AA MLEErie SeaWolves — 1614 6210 110 10 4294677141.181 286418 66 499 224 — — — — — —
200721 A+ MLELakeland Flying Tigers — 192175 39822 14551 60 223284326610 103306 297 263 64 — — — — — —
200822 AA MLEErie SeaWolves — 336304 741634 23723 80 243303355658 112296 217 286 80 — — — — — —
200923 AAA MLEToledo Mud Hens — 162154 28310 8480 31 182222214437 32264 305 197 19 — — — — — —
200923 AA MLEErie SeaWolves — 318293 641530 18903 45 218271290561 72306 286 245 52 — — — — — —
201024 MLB MLEDetroit Tigers — 115106 27502 6130 12 255295358653 104275 115 291 83 -2 -1 +4 +3 +2 0.7
201024 AAA MLEToledo Mud Hens — 177166 44502 8342 122 265307331638 66310 195 273 71 — — — — — —
201125 MLB MLEDetroit Tigers — 3937 10200 290 00 270308324632 54357 235 291 83 -1 +0 -0 +1 +1 0.1
201125 AAA MLEToledo Mud Hens — 357319 711547 261043 132 223287361648 138296 297 280 76 — — — — — —
201226 MLB MLEDetroit Tigers — 9074 16300 13230 00 216333257590 41308 2614 277 74 -3 +0 -0 +1 +2 0.0
201226 AAA MLEToledo Mud Hens — 255225 501225 22734 105 222303360663 138291 299 285 79 — — — — — —
201327 AAA MLEToledo Mud Hens — 345317 611621 231081 95 192249265514 73280 317 225 38 — — — — — —
201327 A+ MLELakeland Flying Tigers — 1717 3100 040 00 176176235412 59192 240 146 -15 — — — — — —
201428 MLB MLEDetroit Tigers — 4642 7100 2121 01 167222190413 24226 264 194 18 -5 -0 +3 +3 +1 0.2
201428 AAA MLEToledo Mud Hens — 251233 391111 171030 90 167224236460 69289 417 205 25 — — — — — —
201529 AAA MLEReno Aces — 399364 842024 321321 62 231295330624 99346 338 276 73 — — — — — —
201630 MLB MLEHouston Astros — 4039 7200 160 00 179200231431 51212 152 191 15 -4 +0 +2 +1 +1 0.1
201630 AAA MLEFresno Grizzlies — 368321 821618 36934 51 255338386724 131320 2510 322 104 — — — — — —
200721 A+ MLE2 teams — 208190 451032 14571 70 237293353645 116323 277 281 76 — — — — — —
200721 A+ RAW2 teams — 208185 491132 19401 70 265337389726 124324 199 322 76 — — — — — —
200822 AA MLEErie SeaWolves — 336304 741634 23723 80 243303355658 112304 217 286 80 — — — — — —
200822 AA RAWErie SeaWolves — 336295 751835 32593 80 254333386720 132300 1810 319 80 — — — — — —
200923 AA MLE2 teams — 480447 921840 261383 76 206254264518 58297 295 229 41 — — — — — —
200923 AA RAW2 teams — 480436 1002140 371143 76 229294296590 67310 248 269 41 — — — — — —
201024 AAA MLE2 teams — 292272 711004 14472 134 261302342644 81302 165 280 76 — — — — — —
201024 AAA RAW2 teams — 292270 741004 16422 134 274319356675 81311 145 302 76 — — — — — —
201125 AAA MLE3 teams — 416374 861848 291194 132 230292364656 134315 297 281 76 — — — — — —
201125 AAA RAW3 teams — 416364 9622410 391014 132 264342429770 165339 249 336 76 — — — — — —
201226 AAA MLE2 teams — 345299 661525 35964 105 221311334645 114303 2810 283 78 — — — — — —
201226 AAA RAW2 teams — 345290 731825 44814 105 252358379737 128329 2313 330 78 — — — — — —
201327 AAA MLE2 teams — 362334 631721 231121 95 189243260503 72281 316 221 36 — — — — — —
201327 AAA RAW2 teams — 362322 712021 35941 95 220299304603 84308 2610 275 36 — — — — — —
201428 AAA MLE2 teams — 297275 461211 191151 91 167224229453 62281 396 203 24 — — — — — —
201428 AAA RAW2 teams — 297265 541611 29991 91 204285283568 79319 3310 262 24 — — — — — —
201529 AAA MLEReno Aces — 399364 842024 321321 62 231295330624 99349 338 276 73 — — — — — —
201529 AAA RAWReno Aces — 399350 1103036 46991 62 314395469864 154423 2512 383 73 — — — — — —
201630 AAA MLE2 teams — 408360 891818 37994 51 247324369694 122313 249 309 95 — — — — — —
201630 AAA RAW2 teams — 408342 10724211 55784 51 313414491905 178371 1913 396 95 — — — — — —
200721 A+ MLE2 teams — 208191 451032 14571 70 236293351643 115315 277 281 76 — — — — — —
200822 AA MLEErie SeaWolves — 336307 741634 23723 80 241303352655 111296 217 286 80 — — — — — —
200923 AA MLE2 teams — 480448 921840 261383 76 205254263518 58292 295 229 41 — — — — — —
201024 AAA MLE2 teams — 292274 711004 14472 134 259302339641 80296 165 280 76 — — — — — —
201125 AAA MLE3 teams — 416380 861848 291194 132 226292358650 132302 297 281 76 — — — — — —
201226 AAA MLE2 teams — 345303 661525 35964 105 218311330641 112295 2810 283 78 — — — — — —
201327 AAA MLE2 teams — 362335 631721 231121 95 188243260503 72276 316 221 36 — — — — — —
201428 AAA MLE2 teams — 297275 461211 191151 91 167224229453 62279 396 203 24 — — — — — —
201529 AAA MLEReno Aces — 399363 842024 321321 62 231295331625 99346 338 276 73 — — — — — —
201630 AAA MLE2 teams — 408364 891818 37994 51 245324365690 121309 249 309 95 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 330298 671302 24631 13 225285289573 64277 197 259 65 -15 -1 +8 +10 +7 1.0
/ 162G— A+C — 650587 1322604 471242 26 225285290574 65276 197 259 65 -30 -2 +16 +21 +14 2.0
Career— MLE — 35433219 7161542237 25298724 8726 222284318602 96307 287 265 65 -15 -1 +8 +10 +7 1.0
/ 162G— MLE — 650591 1312847 461814 165 222282318600 96305 287 265 65 -30 -2 +16 +21 +14 2.0

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.

2016 AAAFresno Grizzlies · 368 PAwOBA .413 → .322 (−91)K% 19.6% → 25.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.57%÷0.996×1.290——25.33%
BB% (unintentional) /PA14.40%÷1.008×0.710—×0.9629.76%
HBP% /PA1.09%—×0.980—×0.9621.02%
Singles /BIP28.14%÷1.000×0.900×0.993×0.96224.19%
Doubles /BIP9.52%÷1.061×0.810×0.993×0.9626.94%
Triples /BIP0.87%÷1.150×0.810×0.993×0.9620.58%
Home runs /BIP4.76%÷1.040×0.780—×0.9623.44%

Factors used: league row PCL. Park (home-season share, regressed): HR 108, 1B 100, 2B 112, 3B 130, K 99, BB 102 — 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 ×0.993.

Result: wOBA .413 → .322; ISO .195 → .143; BABIP .394 → .320. 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 AAAReno Aces · 399 PAwOBA .374 → .276 (−99)K% 24.8% → 33.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.81%÷0.969×1.290——33.02%
BB% (unintentional) /PA11.53%÷0.997×0.710—×0.9727.98%
HBP% /PA0.25%—×0.980—×0.9720.24%
Singles /BIP28.29%÷0.964×0.900×0.970×0.97224.88%
Doubles /BIP11.95%÷1.083×0.810×0.970×0.9728.43%
Triples /BIP1.20%÷1.150×0.810×0.970×0.9720.79%
Home runs /BIP2.39%÷1.027×0.780—×0.9721.76%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 93, 2B 117, 3B 130, K 94, BB 99 — 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 ×0.970.

Result: wOBA .374 → .276; ISO .154 → .103; BABIP .423 → .346. 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 AAAToledo Mud Hens · 251 PAwOBA .268 → .205 (−63)K% 34.7% → 40.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA34.66%÷1.017×1.200——40.89%
BB% (unintentional) /PA10.76%÷1.053×0.690—×0.9826.92%
HBP% /PA0.00%—×0.940—×0.9820.00%
Singles /BIP22.06%÷0.999×0.930×0.970×0.98219.57%
Doubles /BIP11.03%÷1.031×0.830×0.970×0.9828.46%
Triples /BIP0.74%÷1.049×0.970×0.970×0.9820.65%
Home runs /BIP0.74%÷0.899×0.840—×0.9820.67%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 100, 2B 106, 3B 110, K 103, BB 111 — 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 ×0.970.

Result: wOBA .268 → .205; ISO .090 → .069; BABIP .341 → .289. 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 AAAToledo Mud Hens · 345 PAwOBA .273 → .225 (−48)K% 26.4% → 31.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.38%÷1.011×1.200——31.30%
BB% (unintentional) /PA10.14%÷1.041×0.690—×0.9926.67%
HBP% /PA0.29%—×0.940—×0.9920.27%
Singles /BIP21.50%÷1.016×0.930×1.008×0.99219.67%
Doubles /BIP8.88%÷0.994×0.830×1.008×0.9927.41%
Triples /BIP0.93%÷1.150×0.970×1.008×0.9920.79%
Home runs /BIP0.47%÷0.883×0.840—×0.9920.44%

Factors used: league row IL. Park (home-season share, regressed): HR 77, 1B 103, 2B 99, 3B 130, K 102, BB 108 — 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 ×1.008.

Result: wOBA .273 → .225; ISO .085 → .072; BABIP .315 → .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).

2013 A+Lakeland Flying Tigers · 17 PAwOBA .177 → .146 (−30)K% 17.6% → 24.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.65%÷1.018×1.420——24.62%
BB% (unintentional) /PA0.00%÷1.045×0.750—×0.9480.00%
HBP% /PA0.00%—×0.930—×0.9480.00%
Singles /BIP14.29%÷1.011×0.920—×0.94812.33%
Doubles /BIP7.14%÷0.944×0.960—×0.9486.88%
Triples /BIP0.00%÷1.150×0.810—×0.9480.00%
Home runs /BIP0.00%÷1.067×0.880—×0.9480.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 113, 1B 102, 2B 89, 3B 130, K 104, BB 109 — applied at half strength. Age: age 28 vs a level average of 22.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).

Result: wOBA .177 → .146; ISO .059 → .052; BABIP .214 → .192. 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 AAAToledo Mud Hens · 255 PAwOBA .344 → .285 (−59)K% 22.7% → 28.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.75%÷0.952×1.200——28.67%
BB% (unintentional) /PA12.16%÷0.988×0.690—×1.0038.51%
HBP% /PA1.57%—×0.940—×1.0031.48%
Singles /BIP22.15%÷1.045×0.930×0.989×1.00319.54%
Doubles /BIP9.49%÷1.015×0.830×0.989×1.0037.70%
Triples /BIP1.27%÷0.900×0.970×0.989×1.0031.35%
Home runs /BIP3.16%÷0.913×0.840—×1.0032.92%

Factors used: league row IL. Park (home-season share, regressed): HR 83, 1B 109, 2B 103, 3B 80, K 90, BB 98 — 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 ×0.989.

Result: wOBA .344 → .285; ISO .157 → .139; BABIP .335 → .291. 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 AAAToledo Mud Hens · 357 PAwOBA .324 → .280 (−43)K% 24.1% → 29.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.09%÷0.991×1.200——29.17%
BB% (unintentional) /PA10.08%÷0.980×0.690—×1.0187.23%
HBP% /PA0.84%—×0.940—×1.0180.80%
Singles /BIP21.52%÷0.974×0.930×0.966×1.01820.22%
Doubles /BIP8.52%÷1.042×0.830×0.966×1.0186.67%
Triples /BIP1.79%÷0.932×0.970×0.966×1.0181.84%
Home runs /BIP3.59%÷0.922×0.840—×1.0183.33%

Factors used: league row IL. Park (home-season share, regressed): HR 84, 1B 95, 2B 108, 3B 86, K 98, BB 96 — 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 ×0.966.

Result: wOBA .324 → .280; ISO .165 → .148; BABIP .329 → .296. 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 AAAToledo Mud Hens · 177 PAwOBA .306 → .273 (−32)K% 16.4% → 19.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.38%÷1.015×1.200——19.38%
BB% (unintentional) /PA5.65%÷0.922×0.690—×1.0334.37%
HBP% /PA1.13%—×0.940—×1.0331.10%
Singles /BIP29.63%÷1.059×0.930×1.021×1.03327.45%
Doubles /BIP3.70%÷0.951×0.830×1.021×1.0333.41%
Triples /BIP0.00%÷1.015×0.970×1.021×1.0330.00%
Home runs /BIP1.48%÷0.957×0.840—×1.0331.34%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 112, 2B 90, 3B 103, K 103, BB 84 — 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 ×1.021.

Result: wOBA .306 → .273; ISO .067 → .060; BABIP .336 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .