Ian Parmley

PosCF
B/TL/L
Born1989-12-19
Age (2027)37
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2018
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201626AATOR322.294/.358/.37921376—.274/.316/.342
201727AAATOR268.260/.308/.32111149—.231/.266/.287
201828AAATOR124.263/.293/.3390249—.225/.244/.275
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)
201424 A+Dunedin Blue Jays — 5446 12300 770 30 261358326685 65308 1313 313 63 — — — — — —
201424 ALansing Lugnuts — 137110 23200 20170 111 209331227558 18245 1215 259 38 — — — — — —
201525 AANew Hampshire Fisher Cats — 147133 37421 11210 22 278333361694 83321 147 308 69 — — — — — —
201525 A+Dunedin Blue Jays — 137117 20200 16360 41 171271188459 17241 2612 219 0 — — — — — —
201626 AANew Hampshire Fisher Cats — 322282 83662 28750 137 294358379737 85391 239 322 76 — — — — — —
201727 AAABuffalo Bisons — 268246 641201 15592 112 260308321629 61335 226 282 49 — — — — — —
201828 AAABuffalo Bisons — 124118 31330 4301 21 263293339632 76352 243 281 49 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201424 A+ MLEDunedin Blue Jays — 5448 11300 5100 30 229302292594 63278 199 261 63 — — — — — —
201424 A MLELansing Lugnuts — 137117 24200 13230 111 205285222507 17234 179 225 38 — — — — — —
201525 AA MLENew Hampshire Fisher Cats — 147137 36321 7270 22 263299336634 73307 185 270 69 — — — — — —
201525 A+ MLEDunedin Blue Jays — 137121 16200 12540 41 132211149359 17215 399 168 0 — — — — — —
201626 AA MLENew Hampshire Fisher Cats — 322292 80561 18940 137 274316342659 68375 296 281 76 — — — — — —
201727 AAA MLEBuffalo Bisons — 268251 581101 10752 112 231266287553 56312 284 241 49 — — — — — —
201828 AAA MLEBuffalo Bisons — 124120 27220 2361 21 225244275519 50333 292 240 49 — — — — — —
201424 A MLE2 teams — 191165 34400 18330 141 206284230514 24256 179 235 45 — — — — — —
201424 A RAW2 teams — 191156 35500 27240 141 224339256595 32263 1314 274 45 — — — — — —
201525 AA MLE2 teams — 284258 52521 19800 63 202256248504 47283 287 221 36 — — — — — —
201525 AA RAW2 teams — 284250 57621 27570 63 228303280583 52287 2010 265 36 — — — — — —
201626 AA MLENew Hampshire Fisher Cats — 322292 80561 18940 137 274316342659 68397 296 281 76 — — — — — —
201626 AA RAWNew Hampshire Fisher Cats — 322282 83662 28750 137 294358379737 85391 239 322 76 — — — — — —
201727 AAA MLEBuffalo Bisons — 268251 581101 10752 112 231266287553 56322 284 241 49 — — — — — —
201727 AAA RAWBuffalo Bisons — 268246 641201 15592 112 260308321629 61335 226 282 49 — — — — — —
201828 AAA MLEBuffalo Bisons — 124120 27220 2361 21 225244275519 50321 292 240 49 — — — — — —
201828 AAA RAWBuffalo Bisons — 124118 31330 4301 21 263293339632 76352 243 281 49 — — — — — —
201424 A MLE2 teams — 191171 34400 18330 141 199284222506 23246 179 235 45 — — — — — —
201525 AA MLE2 teams — 284263 52521 19800 63 198256243500 46263 287 221 36 — — — — — —
201626 AA MLENew Hampshire Fisher Cats — 322301 80561 18940 137 266316332648 66375 296 281 76 — — — — — —
201727 AAA MLEBuffalo Bisons — 268254 581101 10752 112 228266283550 55312 284 241 49 — — — — — —
201828 AAA MLEBuffalo Bisons — 124120 27220 2361 21 225244275519 50333 292 240 49 — — — — — —
▸ Career Totals
Career— MLE — 11891086 25127103 673183 4614 231278283560 52321 276 246 53 -67 +4 -0 +0 +26 -3.8
/ 162G— MLE — 650594 1371552 371742 258 231278283561 52320 276 246 53 -37 +2 -0 +0 +14 -2.1

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.

2018 AAABuffalo Bisons · 124 PAwOBA .270 → .240 (−30)K% 24.2% → 29.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.19%÷0.993×1.200——29.24%
BB% (unintentional) /PA2.42%÷0.954×0.690—×0.9821.72%
HBP% /PA0.81%—×0.940—×0.9820.74%
Singles /BIP28.41%÷0.970×0.930×1.029×0.98227.54%
Doubles /BIP3.41%÷0.987×0.830×1.029×0.9822.90%
Triples /BIP3.41%÷1.150×0.970×1.029×0.9822.91%
Home runs /BIP0.00%÷1.080×0.840—×0.9820.00%

Factors used: league row IL. Park (home-season share, regressed): HR 116, 1B 94, 2B 97, 3B 130, K 99, BB 91 — 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 ×1.029.

Result: wOBA .270 → .240; ISO .076 → .063; BABIP .352 → .333. 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).

2017 AAABuffalo Bisons · 268 PAwOBA .277 → .241 (−36)K% 22.0% → 27.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.01%÷0.950×1.200——27.80%
BB% (unintentional) /PA5.60%÷1.027×0.690—×0.9923.73%
HBP% /PA0.75%—×0.940—×0.9920.70%
Singles /BIP27.27%÷1.021×0.930×1.037×0.99225.56%
Doubles /BIP6.42%÷0.940×0.830×1.037×0.9925.83%
Triples /BIP0.00%÷0.961×0.970×1.037×0.9920.00%
Home runs /BIP0.53%÷0.903×0.840—×0.9920.49%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 104, 2B 88, 3B 92, K 90, BB 106 — 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 ×1.037.

Result: wOBA .277 → .241; ISO .061 → .054; BABIP .335 → .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).

2016 AANew Hampshire Fisher Cats · 322 PAwOBA .315 → .281 (−35)K% 23.3% → 29.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.29%÷0.969×1.220——29.33%
BB% (unintentional) /PA8.70%÷1.079×0.700—×0.9785.51%
HBP% /PA0.00%—×0.850—×0.9780.00%
Singles /BIP33.33%÷0.995×0.970×1.021×0.97832.47%
Doubles /BIP2.90%÷1.000×0.860×1.021×0.9782.49%
Triples /BIP2.90%÷1.031×0.950×1.021×0.9782.67%
Home runs /BIP0.97%÷1.292×0.780—×0.9780.57%

Factors used: league row EL. Park (home-season share, regressed): HR 158, 1B 99, 2B 100, 3B 106, K 94, BB 116 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .315 → .281; ISO .085 → .071; BABIP .391 → .375. 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 AANew Hampshire Fisher Cats · 147 PAwOBA .302 → .270 (−32)K% 14.3% → 18.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.29%÷0.960×1.220——18.16%
BB% (unintentional) /PA7.48%÷1.026×0.700—×0.9885.04%
HBP% /PA0.00%—×0.850—×0.9880.00%
Singles /BIP26.79%÷0.996×0.970×1.024×0.98826.39%
Doubles /BIP3.57%÷1.064×0.860×1.024×0.9882.92%
Triples /BIP1.79%÷1.150×0.950×1.024×0.9881.49%
Home runs /BIP0.89%÷1.130×0.780—×0.9880.61%

Factors used: league row EL. Park (home-season share, regressed): HR 126, 1B 99, 2B 113, 3B 130, K 92, BB 105 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.

Result: wOBA .302 → .270; ISO .083 → .066; BABIP .321 → .307. 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+Dunedin Blue Jays · 137 PAwOBA .218 → .168 (−49)K% 26.3% → 39.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.28%÷0.953×1.420——39.16%
BB% (unintentional) /PA11.68%÷0.974×0.750—×0.9688.71%
HBP% /PA0.00%—×0.930—×0.9680.00%
Singles /BIP22.22%÷1.040×0.920×1.043×0.96819.84%
Doubles /BIP2.47%÷1.063×0.960×1.043×0.9682.25%
Triples /BIP0.00%÷0.989×0.810×1.043×0.9680.00%
Home runs /BIP0.00%÷1.059×0.880—×0.9680.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 112, 1B 108, 2B 113, 3B 98, K 91, BB 95 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .218 → .168; ISO .017 → .014; BABIP .241 → .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).

2014 ALansing Lugnuts · 137 PAwOBA .256 → .225 (−31)K% 12.4% → 16.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.41%÷1.017×1.360——16.60%
BB% (unintentional) /PA14.60%÷1.038×0.690—×0.9709.41%
HBP% /PA0.00%—×0.780—×0.9700.00%
Singles /BIP22.58%÷0.968×0.920×1.050×0.97021.85%
Doubles /BIP2.15%÷1.042×0.830×1.050×0.9701.74%
Triples /BIP0.00%÷1.135×0.910×1.050×0.9700.00%
Home runs /BIP0.00%÷0.872×0.800—×0.9700.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 74, 1B 94, 2B 108, 3B 127, K 103, BB 108 — applied at half strength. Age: age 25 vs a level average of 22.0 → −3.0% on BB/HBP/hit rates (3.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .256 → .225; ISO .018 → .016; BABIP .245 → .234. 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 A+Dunedin Blue Jays · 54 PAwOBA .305 → .261 (−44)K% 13.0% → 18.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.96%÷1.016×1.420——18.11%
BB% (unintentional) /PA12.96%÷0.979×0.750—×0.9789.71%
HBP% /PA0.00%—×0.930—×0.9780.00%
Singles /BIP23.08%÷0.982×0.920—×0.97821.14%
Doubles /BIP7.69%÷1.083×0.960—×0.9786.67%
Triples /BIP0.00%÷0.900×0.810—×0.9780.00%
Home runs /BIP0.00%÷1.309×0.880—×0.9780.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 162, 1B 96, 2B 117, 3B 80, K 103, BB 96 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .305 → .261; ISO .065 → .056; BABIP .308 → .278. 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).