Tim Arakawa

Pos2B
B/TL/R
Born1993-04-18
Age (2027)34
No MLB projection yet. Career stats below are historical.
Overview
AALAST SEASON 2017
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201522ABurlington Be…285.279/.387/.4004272—.219/.305/.303
201623AAA/AA/A+2 orgs538.228/.322/.29721745—.201/.271/.257
201724AAMobile BayBea…282.245/.349/.3214859—.215/.284/.283
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)
201522 ABurlington Bees — 285240 671514 40522 23 279387400787 121337 1814 355 72 — — — — — —
201623 AAASalt Lake Bees — 5751 9110 4130 10 176236235472 59231 237 211 7 — — — — — —
201623 AAArkansas Travelers — 11698 17400 13181 61 173277214491 41212 1611 230 25 — — — — — —
201623 A+Inland Empire 66ers — 365315 801332 46640 105 254349333682 79311 1813 312 57 — — — — — —
201724 AAMobile BayBears — 282237 58414 37731 87 245349321670 76331 2613 305 59 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201522 A MLEBurlington Bees — 285251 551312 29692 23 219305303608 84283 2410 275 72 — — — — — —
201623 AAA MLESalt Lake Bees — 5752 9110 3170 10 173218231449 58215 305 178 7 — — — — — —
201623 AA MLEArkansas Travelers — 116101 17400 10221 61 168250208458 40205 199 205 25 — — — — — —
201623 A+ MLEInland Empire 66ers — 365329 711022 32850 105 216285277562 61277 239 253 57 — — — — — —
201724 AA MLEMobile BayBears — 282251 54314 23891 87 215284283567 68300 328 255 59 — — — — — —
201522 A MLEBurlington Bees — 285251 551312 29692 23 219305303608 84290 2410 275 72 — — — — — —
201522 A RAWBurlington Bees — 285240 671514 40522 23 279387400787 121337 1814 355 72 — — — — — —
201623 A+ MLE3 teams — 538482 961532 451241 176 199269255524 56262 238 235 45 — — — — — —
201623 A+ RAW3 teams — 538464 1061842 63951 176 228322297619 69281 1812 284 45 — — — — — —
201724 AA MLEMobile BayBears — 282251 54314 23891 87 215284283567 68311 328 255 59 — — — — — —
201724 AA RAWMobile BayBears — 282237 58414 37731 87 245349321670 76331 2613 305 59 — — — — — —
201522 A MLEBurlington Bees — 285252 551312 29692 23 218305302607 83283 2410 275 72 — — — — — —
201623 A+ MLE3 teams — 538487 961532 451241 176 197269253522 55255 238 235 45 — — — — — —
201724 AA MLEMobile BayBears — 282256 54314 23891 87 211284277561 66300 328 255 59 — — — — — —
▸ Career Totals
Career— MLE — 1105984 2053158 972824 2716 208282274556 66280 269 250 56 -58 -1 +0 +4 +24 -3.2
/ 162G— MLE — 650579 1211835 571662 169 209282276558 67281 269 250 56 -34 -0 +0 +2 +14 -1.9

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.

2017 AAMobile BayBears · 282 PAwOBA .295 → .255 (−40)K% 25.9% → 31.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.89%÷0.998×1.220——31.63%
BB% (unintentional) /PA11.70%÷0.986×0.680—×1.0128.17%
HBP% /PA0.35%—×0.840—×1.0120.30%
Singles /BIP29.88%÷1.018×0.920×1.004×1.01227.43%
Doubles /BIP2.44%÷1.204×0.910×1.004×1.0121.87%
Triples /BIP0.61%÷0.930×0.880×1.004×1.0120.59%
Home runs /BIP2.44%÷0.896×0.800—×1.0122.20%

Factors used: league row SL. Park (home-season share, regressed): HR 79, 1B 104, 2B 141, 3B 86, K 100, BB 97 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .295 → .255; ISO .076 → .069; BABIP .331 → .300. 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 A+Inland Empire 66ers · 365 PAwOBA .306 → .253 (−53)K% 17.5% → 23.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.53%÷1.009×1.340——23.28%
BB% (unintentional) /PA12.60%÷0.998×0.710—×0.9988.95%
HBP% /PA0.00%—×0.790—×0.9980.00%
Singles /BIP24.70%÷0.968×0.910×0.987×0.99822.89%
Doubles /BIP5.18%÷1.034×0.820×0.987×0.9984.05%
Triples /BIP1.20%÷1.150×0.760×0.987×0.9980.78%
Home runs /BIP0.80%÷0.873×0.920—×0.9980.84%

Factors used: league row CAL. Park (home-season share, regressed): HR 75, 1B 94, 2B 107, 3B 130, K 102, BB 100 — 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 ×0.987.

Result: wOBA .306 → .253; ISO .079 → .064; BABIP .311 → .277. 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 AAArkansas Travelers · 116 PAwOBA .225 → .205 (−21)K% 15.5% → 18.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.52%÷1.009×1.220——18.76%
BB% (unintentional) /PA11.21%÷0.979×0.700—×1.0278.23%
HBP% /PA0.86%—×0.870—×1.0270.77%
Singles /BIP16.25%÷0.995×0.920×1.031×1.02715.92%
Doubles /BIP5.00%÷0.975×0.840×1.031×1.0274.56%
Triples /BIP0.00%÷1.150×0.940×1.031×1.0270.00%
Home runs /BIP0.00%÷0.972×0.800—×1.0270.00%

Factors used: league row TL. Park (home-season share, regressed): HR 94, 1B 99, 2B 95, 3B 130, K 102, BB 96 — 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 ×1.031.

Result: wOBA .225 → .205; ISO .041 → .039; BABIP .212 → .205. 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 AAASalt Lake Bees · 57 PAwOBA .210 → .178 (−31)K% 22.8% → 30.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.81%÷0.969×1.290——30.37%
BB% (unintentional) /PA7.02%÷1.021×0.710—×1.0505.13%
HBP% /PA0.00%—×0.980—×1.0500.00%
Singles /BIP18.42%÷1.033×0.900×1.050×1.05017.69%
Doubles /BIP2.63%÷1.020×0.810×1.050×1.0502.30%
Triples /BIP2.63%÷1.137×0.810×1.050×1.0502.07%
Home runs /BIP0.00%÷1.035×0.780—×1.0500.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 107, 1B 107, 2B 104, 3B 127, K 94, BB 104 — 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 ×1.050.

Result: wOBA .210 → .178; ISO .059 → .046; BABIP .231 → .215. 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 ABurlington Bees · 285 PAwOBA .350 → .275 (−75)K% 18.2% → 24.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.25%÷1.029×1.360——24.11%
BB% (unintentional) /PA14.04%÷0.936×0.690——10.34%
HBP% /PA0.70%—×0.780——0.55%
Singles /BIP25.00%÷1.107×0.920×1.021—21.21%
Doubles /BIP7.98%÷0.992×0.830×1.021—6.82%
Triples /BIP0.53%÷1.150×0.910×1.021—0.43%
Home runs /BIP2.13%÷1.423×0.800——1.20%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 185, 1B 121, 2B 98, 3B 130, K 106, BB 87 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .350 → .275; ISO .121 → .087; BABIP .337 → .283. 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).