Seth Harrison

PosCF
B/TR/R
Born1992-07-22
Age (2027)35
No MLB projection yet. Career stats below are historical.
Overview
ALAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201422ROKAZL Giants18.067/.222/.20001-32—.062/.167/.188
201523A+/A2 orgs473.220/.275/.31741923—.173/.217/.239
201624AATL456.256/.327/.36661651—.209/.260/.309
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)
201422 ROKAZL Giants — 1815 1010 360 10 67222200422 133111 3317 206 -32 — — — — — —
201523 A+San Jose Giants — 378345 731724 201037 1311 212269307576 96289 275 259 18 — — — — — —
201523 AAugusta GreenJackets — 9587 22330 6180 64 253301356657 103319 196 288 41 — — — — — —
201624 AAugusta GreenJackets — 456407 1041946 37946 168 256327366693 111317 218 310 51 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201422 ROK MLEAZL Giants — 1816 1010 290 10 62167188354 12578 5011 121 -32 — — — — — —
201523 A+ MLESan Jose Giants — 378351 581213 141407 1311 165212231443 66255 374 195 18 — — — — — —
201523 A MLEAugusta GreenJackets — 9589 18220 4240 64 202237270506 67282 254 229 41 — — — — — —
201624 A MLEAugusta GreenJackets — 456421 881646 231236 168 209260309569 100269 275 243 51 — — — — — —
201422 ROK MLEAZL Giants — 1816 1010 290 10 62167188354 125143 5011 121 -32 — — — — — —
201422 ROK RAWAZL Giants — 1815 1010 360 10 67222200422 133111 3317 206 -32 — — — — — —
201523 A+ MLE2 teams — 473440 771443 181647 1915 175219245465 70270 354 202 23 — — — — — —
201523 A+ RAW2 teams — 473432 952054 261217 1915 220275317592 97295 265 264 23 — — — — — —
201624 A MLEAugusta GreenJackets — 456421 881646 231236 168 209260309569 100279 275 243 51 — — — — — —
201624 A RAWAugusta GreenJackets — 456407 1041946 37946 168 256327366693 111317 218 310 51 — — — — — —
201422 ROK MLEAZL Giants — 1816 1010 290 10 62167188354 12578 5011 121 -32 — — — — — —
201523 A+ MLE2 teams — 473445 771443 181647 1915 173219243462 70260 354 202 23 — — — — — —
201624 A MLEAugusta GreenJackets — 456424 881646 231236 168 208260307567 99269 275 243 51 — — — — — —
▸ Career Totals
Career— MLE — 947877 1663099 4329613 3623 189238275513 86273 315 220 35 -73 -2 +0 +3 +21 -5.2
/ 162G— MLE — 650602 1142166 302039 2516 189239274513 85273 315 220 35 -50 -1 +0 +2 +14 -3.6

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 AAugusta GreenJackets · 456 PAwOBA .304 → .243 (−60)K% 20.6% → 27.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.61%÷1.025×1.340——26.96%
BB% (unintentional) /PA8.11%÷1.020×0.660—×0.9805.14%
HBP% /PA1.32%—×0.770—×0.9800.99%
Singles /BIP23.96%÷1.054×0.920×0.985×0.98020.20%
Doubles /BIP6.07%÷0.944×0.820×0.985×0.9805.09%
Triples /BIP1.28%÷0.919×0.940×0.985×0.9801.26%
Home runs /BIP1.92%÷0.834×0.820—×0.9801.85%

Factors used: league row SAL. Park (home-season share, regressed): HR 67, 1B 111, 2B 89, 3B 84, K 105, BB 104 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .304 → .243; ISO .111 → .099; BABIP .317 → .269. 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 A+San Jose Giants · 378 PAwOBA .252 → .195 (−57)K% 27.2% → 37.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.25%÷0.983×1.340——37.15%
BB% (unintentional) /PA5.29%÷0.996×0.710—×0.9983.77%
HBP% /PA1.85%—×0.790—×0.9981.46%
Singles /BIP20.66%÷0.971×0.910×1.000×0.99819.32%
Doubles /BIP7.02%÷1.071×0.820×1.000×0.9985.37%
Triples /BIP0.83%÷1.150×0.760×1.000×0.9980.55%
Home runs /BIP1.65%÷1.031×0.920—×0.9981.47%

Factors used: league row CAL. Park (home-season share, regressed): HR 106, 1B 94, 2B 114, 3B 130, K 97, BB 99 — 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 ×1.000.

Result: wOBA .252 → .195; ISO .096 → .069; BABIP .289 → .255. 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 AAugusta GreenJackets · 95 PAwOBA .281 → .229 (−52)K% 18.9% → 25.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.95%÷0.996×1.340——25.48%
BB% (unintentional) /PA6.32%÷0.989×0.660—×0.9904.17%
HBP% /PA0.00%—×0.770—×0.9900.00%
Singles /BIP23.19%÷0.986×0.920×0.997×0.99021.35%
Doubles /BIP4.35%÷1.055×0.820×0.997×0.9903.34%
Triples /BIP4.35%÷1.150×0.940×0.997×0.9903.51%
Home runs /BIP0.00%÷0.952×0.820—×0.9900.00%

Factors used: league row SAL. Park (home-season share, regressed): HR 90, 1B 97, 2B 111, 3B 130, K 99, BB 98 — 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 ×0.997.

Result: wOBA .281 → .229; ISO .103 → .080; BABIP .319 → .282. 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 ROKAZL Giants · 18 PAwOBA .202 → .121 (−81)K% 33.3% → 48.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.33%÷1.000×1.440——48.00%
BB% (unintentional) /PA16.67%÷1.000×0.620—×0.97510.07%
HBP% /PA0.00%—×0.720—×0.9750.00%
Singles /BIP0.00%÷1.000×0.820—×0.9750.00%
Doubles /BIP0.00%÷1.000×0.720—×0.9750.00%
Triples /BIP11.11%÷1.000×0.720—×0.9757.80%
Home runs /BIP0.00%÷1.000×0.780—×0.9750.00%

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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .202 → .121; ISO .133 → .078; BABIP .111 → .078. 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).