Jeter Downs

PosSS
B/TR/R
Born1998-07-27
Age (2027)29
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2024
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202224AAA/INTL2 orgs392.190/.310/.380161854—.153/.254/.306
202224MLBBOS41.154/.175/.2561011-0.3
202325AAA/ROKWSH211.229/.373/.36531160—.176/.292/.263
202426AAAScranton/Wilk…274.264/.370/.498101589—.216/.302/.386
202527No MLB games played
202628No MLB games played
Last 3 seasons WAR -0.3
Contract
No contract data on file.
Skills · percentileMiLB Statcast 2024 AAA
Speed94
Whiff%63
Max EV62
Chase%61
BB%57
Z-Con%55

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)
201719 ROKBillings Mustangs — 209172 46336 27324 85 267379424804 157288 1513 353 61 — — — — — —
201820 ADayton Dragons — 524455 11723213 5210314 3710 257351402753 145306 2010 339 61 — — — — — —
201921 AATulsa Drillers — 5648 16205 6102 10 3334296881.116 354333 1811 478 162 — — — — — —
201921 A+Rancho Cucamonga Quakes — 479412 11133419 54974 238 269360507867 238304 2011 373 93 — — — — — —
202123 AAAWorcester Red Sox — 405357 689014 381314 183 190276333609 143249 329 274 26 — — — — — —
202123 INTLScottsdale Scorpions — 7257 13005 14181 42 228389491880 263235 2519 391 151 — — — — — —
202224 MLBBoston Red Sox — 4139 6101 1210 00 154175256431 103278 512 187 11 -4 +0 -1 +2 +1 -0.3
202224 AAAWorcester Red Sox — 335284 5611116 389912 184 197317412729 215235 3011 327 57 — — — — — —
202224 INTLIndios de Mayaguez — 5748 7200 6192 00 146268188455 42233 3311 224 38 — — — — — —
202325 AAARochester Red Wings — 193161 381213 27474 113 236359379738 143312 2414 337 61 — — — — — —
202325 ROKFCL Nationals — 189 1000 830 00 111529111641 143 1744 360 55 — — — — — —
202426 AAAScranton/Wilkes-Barre RailRiders — 274227 6017310 30688 156 264370498868 233321 2511 370 89 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 4139 6101 1210 00 154175256431 103278 512 187 13 -4 +0 -1 +2 +1 -0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201719 ROK MLEBillings Mustangs — 209183 36225 16464 85 197276311587 115220 228 259 61 — — — — — —
201820 A MLEDayton Dragons — 524474 971929 3314214 3710 205276310587 105267 276 259 61 — — — — — —
201921 AA MLETulsa Drillers — 5650 16205 4132 10 3203936601.053 340312 237 407 162 — — — — — —
201921 A+ MLERancho Cucamonga Quakes — 479425 9327318 411314 238 219294424717 205256 279 306 93 — — — — — —
202123 AAA MLEWorcester Red Sox — 405368 57708 271544 183 155221239460 84226 387 207 26 — — — — — —
202224 MLB MLEBoston Red Sox — 4139 6101 1210 00 154175256431 103278 512 184 11 -4 +0 -1 +2 +1 -0.3
202224 AAA MLEWorcester Red Sox — 335294 457112 2811712 184 153254306561 153198 358 252 57 — — — — — —
202325 AAA MLERochester Red Wings — 193168 31812 20584 113 185286280566 95262 3010 259 61 — — — — — —
202325 ROK MLEFCL Nationals — 1812 1000 540 00 8335383436 118 2228 250 55 — — — — — —
202426 AAA MLEScranton/Wilkes-Barre RailRiders — 274236 511337 21828 156 216302386687 169273 308 300 89 — — — — — —
201719 ROK MLEBillings Mustangs — 209183 36225 16464 85 197276311587 115226 228 259 61 — — — — — —
201719 ROK RAWBillings Mustangs — 209172 46336 27324 85 267379424804 157288 1513 353 61 — — — — — —
201820 A MLEDayton Dragons — 524474 971929 3314214 3710 205276310587 105272 276 259 61 — — — — — —
201820 A RAWDayton Dragons — 524455 11723213 5210314 3710 257351402753 145306 2010 339 61 — — — — — —
201921 A+ MLE2 teams — 535475 10829322 451446 248 227302440742 213272 278 317 100 — — — — — —
201921 A+ RAW2 teams — 535460 12735424 601076 248 276367526893 250307 2011 384 100 — — — — — —
202123 AAA MLE2 teams — 477434 67909 321815 225 154221237458 83233 387 207 26 — — — — — —
202123 AAA RAW2 teams — 477414 819019 521495 225 196293355648 159247 3111 291 26 — — — — — —
202224 AAA MLE3 teams — 433383 5910115 3315914 184 154247303549 149208 378 245 52 — — — — — —
202224 AAA RAW3 teams — 433371 6914117 4513914 184 186298367664 181239 3210 301 52 — — — — — —
202325 AAA MLE2 teams — 211180 32812 25624 113 178292267559 89254 2912 258 61 — — — — — —
202325 AAA RAW2 teams — 211170 391213 35504 113 229373365738 135303 2417 339 61 — — — — — —
202426 AAA MLEScranton/Wilkes-Barre RailRiders — 274236 511337 21828 156 216302386687 169286 308 300 89 — — — — — —
202426 AAA RAWScranton/Wilkes-Barre RailRiders — 274227 6017310 30688 156 264370498868 233321 2511 370 89 — — — — — —
201719 ROK MLEBillings Mustangs — 209187 36225 16464 85 193276305581 112220 228 259 61 — — — — — —
201820 A MLEDayton Dragons — 524472 971929 3314214 3710 206276311588 106267 276 259 61 — — — — — —
201921 A+ MLE2 teams — 535479 10829322 451446 248 225302436739 211262 278 317 100 — — — — — —
202123 AAA MLE2 teams — 477437 67909 321815 225 153221236457 82226 387 207 26 — — — — — —
202224 AAA MLE3 teams — 433383 5910115 3315914 184 154247303549 149207 378 245 52 — — — — — —
202325 AAA MLE2 teams — 211180 32812 25624 113 178292267559 89250 2912 258 61 — — — — — —
202426 AAA MLEScranton/Wilkes-Barre RailRiders — 274243 511337 21828 156 210302374676 165273 308 300 89 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202426 AAA MLEScranton/Wilkes-Barre RailRiders — 274243 511337 21828 156 210302374676 165273 308 300 89 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 4139 6101 1210 00 154175256431 103278 512 187 64 -4 +0 -1 +2 +1 -0.3
/ 162G— A+C — 650618 9516016 163330 00 154175257432 104277 512 187 64 -67 +0 -11 +25 +14 -4.1
Career— MLE — 26632365 450901269 20581655 13541 190270326596 136252 318 263 64 -4 +0 -1 +2 +1 -0.3
/ 162G— MLE — 650577 11022317 5019913 3310 191270328597 137253 318 263 64 -67 +0 -11 +25 +14 -4.1

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.

2024 AAAScranton/Wilkes-Barre RailRiders · 274 PAwOBA .370 → .300 (−70)K% 24.8% → 30.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.82%÷0.990×1.200——30.07%
BB% (unintentional) /PA10.95%÷1.011×0.690—×1.0187.61%
HBP% /PA2.92%—×0.940—×1.0182.79%
Singles /BIP18.87%÷0.976×0.930×0.950×1.01817.38%
Doubles /BIP10.69%÷1.072×0.830×0.950×1.0188.00%
Triples /BIP1.89%÷0.900×0.970×0.950×1.0181.97%
Home runs /BIP6.29%÷1.045×0.700—×1.0184.29%

Factors used: league row International League. Park (home-season share, regressed): HR 109, 1B 95, 2B 114, 3B 80, K 98, BB 102 — 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 ×0.950.

Result: wOBA .370 → .300; ISO .233 → .178; BABIP .321 → .273. 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).

2023 AAARochester Red Wings · 193 PAwOBA .330 → .259 (−71)K% 24.4% → 29.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.35%÷0.980×1.200——29.81%
BB% (unintentional) /PA13.99%÷0.956×0.690—×1.03310.43%
HBP% /PA2.07%—×0.940—×1.0332.01%
Singles /BIP19.30%÷0.996×0.930×0.951×1.03317.70%
Doubles /BIP10.53%÷1.137×0.830×0.951×1.0337.55%
Triples /BIP0.88%÷1.150×0.970×0.951×1.0330.73%
Home runs /BIP2.63%÷1.058×0.700—×1.0331.80%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 99, 2B 127, 3B 130, K 96, BB 91 — 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 ×0.951.

Result: wOBA .330 → .259; ISO .143 → .100; BABIP .312 → .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).

2023 ROKFCL Nationals · 18 PAwOBA .376 → .250 (−127)K% 16.7% → 23.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.67%÷1.011×1.440——23.74%
BB% (unintentional) /PA44.44%÷1.013×0.620—×0.94525.71%
HBP% /PA0.00%—×0.720—×0.9450.00%
Singles /BIP16.67%÷0.983×0.820—×0.94513.14%
Doubles /BIP0.00%÷0.971×0.720—×0.9450.00%
Triples /BIP0.00%÷1.034×0.720—×0.9450.00%
Home runs /BIP0.00%÷1.000×0.780—×0.9450.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 97, 2B 94, 3B 107, K 102, BB 103 — applied at half strength. Age: age 25 vs a level average of 19.5 → −5.5% on BB/HBP/hit rates (5.5 yr older than average).

Result: wOBA .376 → .250; ISO .000 → .000; BABIP .143 → .118. 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).

2022 AAAWorcester Red Sox · 335 PAwOBA .320 → .252 (−68)K% 29.6% → 35.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.55%÷1.013×1.200——35.01%
BB% (unintentional) /PA11.34%÷0.987×0.690—×1.0488.31%
HBP% /PA3.58%—×0.940—×1.0483.53%
Singles /BIP15.14%÷1.010×0.930×0.950×1.04813.87%
Doubles /BIP5.95%÷1.179×0.830×0.950×1.0484.17%
Triples /BIP0.54%÷1.000×0.970×0.950×1.0480.52%
Home runs /BIP8.65%÷0.939×0.700—×1.0486.75%

Factors used: league row International League. Park (home-season share, regressed): HR 88, 1B 102, 2B 136, 3B 100, K 103, BB 97 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .320 → .252; ISO .215 → .160; BABIP .235 → .198. 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).

2021 AAAWorcester Red Sox · 405 PAwOBA .270 → .207 (−63)K% 32.3% → 38.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA32.35%÷1.021×1.200——38.03%
BB% (unintentional) /PA9.38%÷1.008×0.690—×1.0506.75%
HBP% /PA0.99%—×0.940—×1.0500.97%
Singles /BIP19.91%÷0.974×0.930×0.950×1.05018.97%
Doubles /BIP3.98%÷0.992×0.830×0.950×1.0503.32%
Triples /BIP0.00%÷1.023×0.920×0.950×1.0500.00%
Home runs /BIP6.19%÷1.318×0.700—×1.0503.45%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 164, 1B 95, 2B 98, 3B 105, K 104, 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 ×0.950.

Result: wOBA .270 → .207; ISO .143 → .084; BABIP .249 → .226. 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).

2019 A+Rancho Cucamonga Quakes · 479 PAwOBA .368 → .306 (−62)K% 20.3% → 27.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.25%÷0.991×1.340——27.39%
BB% (unintentional) /PA11.06%÷0.948×0.710—×1.0278.52%
HBP% /PA0.84%—×0.790—×1.0270.68%
Singles /BIP17.46%÷1.043×0.910×0.950×1.02714.86%
Doubles /BIP10.48%÷0.935×0.820×0.950×1.0278.96%
Triples /BIP1.27%÷1.049×0.760×0.950×1.0270.90%
Home runs /BIP6.03%÷0.969×0.920—×1.0275.88%

Factors used: league row CAL. Park (home-season share, regressed): HR 94, 1B 109, 2B 87, 3B 110, K 98, BB 90 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .368 → .306; ISO .238 → .209; BABIP .304 → .256. 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).

2019 AATulsa Drillers · 56 PAwOBA .465 → .407 (−57)K% 17.9% → 22.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.86%÷0.954×1.220——22.84%
BB% (unintentional) /PA10.71%÷1.063×0.700—×1.0507.41%
HBP% /PA3.57%—×0.870—×1.0503.26%
Singles /BIP23.68%÷0.997×0.920—×1.05022.94%
Doubles /BIP5.26%÷1.048×0.840—×1.0504.43%
Triples /BIP0.00%÷0.925×0.940—×1.0500.00%
Home runs /BIP13.16%÷0.909×0.800—×1.05012.15%

Factors used: league row TL. Park (home-season share, regressed): HR 82, 1B 99, 2B 110, 3B 85, K 91, BB 113 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average).

Result: wOBA .465 → .407; ISO .354 → .317; BABIP .333 → .312. 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 ADayton Dragons · 524 PAwOBA .331 → .259 (−72)K% 19.7% → 27.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.66%÷0.987×1.360——27.08%
BB% (unintentional) /PA9.73%÷1.097×0.690—×1.0306.30%
HBP% /PA2.67%—×0.780—×1.0302.15%
Singles /BIP22.44%÷1.019×0.920×0.950×1.03019.84%
Doubles /BIP6.53%÷0.942×0.830×0.950×1.0305.63%
Triples /BIP0.57%÷0.900×0.910×0.950×1.0300.56%
Home runs /BIP3.69%÷1.103×0.800—×1.0302.76%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 104, 2B 88, 3B 80, K 97, BB 119 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .331 → .259; ISO .145 → .112; BABIP .306 → .267. 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 — .