Andrew Guillotte

PosCF
B/TR/R
Born1993-03-30
Age (2027)34
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201724AAA/AA/A+TOR437.267/.343/.35852263—.226/.285/.294
201825AATOR386.251/.342/.3262963—.230/.297/.297
201926AAATOR88.159/.207/.20703-12—.133/.172/.181
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 ROKBluefield Blue Jays — 5648 11201 583 21 229339333673 104256 149 314 40 — — — — — —
201623 A+Dunedin Blue Jays — 5246 7200 591 10 152250196446 43189 1710 218 -3 — — — — — —
201623 ALansing Lugnuts — 508455 1152734 39779 2010 253324352676 99294 158 305 45 — — — — — —
201724 AAABuffalo Bisons — 2723 7210 490 01 304407478886 174500 3315 392 103 — — — — — —
201724 AANew Hampshire Fisher Cats — 239213 52413 20433 87 244318315632 70292 188 289 49 — — — — — —
201724 A+Dunedin Blue Jays — 171150 441002 15253 143 293369400769 107333 159 343 76 — — — — — —
201825 AANew Hampshire Fisher Cats — 386331 831712 43683 98 251342326668 76302 1811 303 63 — — — — — —
201926 AAABuffalo Bisons — 8882 13210 4281 30 159207207414 49241 325 190 -12 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201522 ROK MLEBluefield Blue Jays — 5650 8101 3113 21 160250240490 80204 205 227 40 — — — — — —
201623 A+ MLEDunedin Blue Jays — 5247 6200 4131 10 128212170382 43160 258 164 -3 — — — — — —
201623 A MLELansing Lugnuts — 508467 932133 271119 2010 199256276533 77246 225 234 45 — — — — — —
201724 AAA MLEBuffalo Bisons — 2724 6210 3110 01 250333417750 167481 4111 320 103 — — — — — —
201724 AA MLENew Hampshire Fisher Cats — 239219 47312 14523 87 215271265536 50266 226 241 49 — — — — — —
201724 A+ MLEDunedin Blue Jays — 171155 37901 10353 143 239298316614 77293 206 281 76 — — — — — —
201825 AA MLENew Hampshire Fisher Cats — 386344 791512 30803 98 230297297594 67274 218 262 63 — — — — — —
201926 AAA MLEBuffalo Bisons — 8883 11210 3351 30 133172181353 48215 403 151 -12 — — — — — —
201522 ROK MLEBluefield Blue Jays — 5650 8101 3113 21 160250240490 80184 205 227 40 — — — — — —
201522 ROK RAWBluefield Blue Jays — 5648 11201 583 21 229339333673 104256 149 314 40 — — — — — —
201623 A MLE2 teams — 560514 992333 3112410 2110 193252267519 74246 226 228 40 — — — — — —
201623 A RAW2 teams — 560501 1222934 448610 2110 244317337654 94285 158 297 40 — — — — — —
201724 AA MLE3 teams — 437398 901423 27996 2211 226285294579 68290 236 262 63 — — — — — —
201724 AA RAW3 teams — 437386 1031625 39776 2211 267343358701 91318 189 316 63 — — — — — —
201825 AA MLENew Hampshire Fisher Cats — 386344 791512 30803 98 230297297594 67286 218 262 63 — — — — — —
201825 AA RAWNew Hampshire Fisher Cats — 386331 831712 43683 98 251342326668 76302 1811 303 63 — — — — — —
201926 AAA MLEBuffalo Bisons — 8883 11210 3351 30 133172181353 48229 403 151 -12 — — — — — —
201926 AAA RAWBuffalo Bisons — 8882 13210 4281 30 159207207414 49241 325 190 -12 — — — — — —
201522 ROK MLEBluefield Blue Jays — 5650 8101 3113 21 160250240490 80204 205 227 40 — — — — — —
201623 A MLE2 teams — 560514 992333 3112410 2110 193252267519 74238 226 228 40 — — — — — —
201724 AA MLE3 teams — 437401 901423 27996 2211 224285292577 67290 236 262 63 — — — — — —
201825 AA MLENew Hampshire Fisher Cats — 386350 791512 30803 98 226297291589 66274 218 262 63 — — — — — —
201926 AAA MLEBuffalo Bisons — 8884 11210 3351 30 131172179351 48215 403 151 -12 — — — — — —
▸ Career Totals
Career— MLE — 15271389 2875579 9434923 5730 207268276544 69266 236 242 50 -92 -1 +0 +5 +33 -5.5
/ 162G— MLE — 650591 1222334 4014910 2413 206268276544 69266 236 242 50 -39 -0 +0 +2 +14 -2.3

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.

2019 AAABuffalo Bisons · 88 PAwOBA .186 → .151 (−35)K% 31.8% → 39.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.82%÷0.968×1.200——39.43%
BB% (unintentional) /PA4.55%÷0.953×0.690—×1.0183.35%
HBP% /PA1.14%—×0.940—×1.0181.09%
Singles /BIP18.52%÷1.011×0.930×0.950×1.01816.47%
Doubles /BIP3.70%÷0.954×0.830×0.950×1.0183.12%
Triples /BIP1.85%÷0.909×0.970×0.950×1.0181.91%
Home runs /BIP0.00%÷1.000×0.840—×1.0180.00%

Factors used: league row IL. Park (home-season share, regressed): HR 100, 1B 102, 2B 91, 3B 82, K 94, BB 91 — 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 .186 → .151; ISO .049 → .042; 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).

2018 AANew Hampshire Fisher Cats · 386 PAwOBA .299 → .262 (−36)K% 17.6% → 20.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.62%÷1.033×1.220——20.80%
BB% (unintentional) /PA10.62%÷0.961×0.700—×0.9987.72%
HBP% /PA0.78%—×0.850—×0.9980.66%
Singles /BIP23.95%÷0.995×0.970×0.952×0.99822.18%
Doubles /BIP6.46%÷0.980×0.860×0.952×0.9985.39%
Triples /BIP0.38%÷1.086×0.950×0.952×0.9980.32%
Home runs /BIP0.76%÷0.945×0.780—×0.9980.63%

Factors used: league row EL. Park (home-season share, regressed): HR 89, 1B 99, 2B 96, 3B 117, K 107, BB 92 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.952.

Result: wOBA .299 → .262; ISO .076 → .065; BABIP .302 → .274. 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 AANew Hampshire Fisher Cats · 239 PAwOBA .283 → .241 (−42)K% 18.0% → 21.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.99%÷1.007×1.220——21.81%
BB% (unintentional) /PA8.37%÷0.995×0.700—×1.0125.96%
HBP% /PA1.26%—×0.850—×1.0121.08%
Singles /BIP25.88%÷1.024×0.970×0.964×1.01223.91%
Doubles /BIP2.35%÷1.024×0.860×0.964×1.0121.93%
Triples /BIP0.59%÷0.900×0.950×0.964×1.0120.61%
Home runs /BIP1.76%÷1.165×0.780—×1.0121.20%

Factors used: league row EL. Park (home-season share, regressed): HR 133, 1B 105, 2B 105, 3B 80, K 101, BB 99 — 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 ×0.964.

Result: wOBA .283 → .241; ISO .070 → .054; BABIP .292 → .266. 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 A+Dunedin Blue Jays · 171 PAwOBA .340 → .281 (−59)K% 14.6% → 20.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.62%÷1.007×1.420——20.62%
BB% (unintentional) /PA8.77%÷1.118×0.750—×0.9885.82%
HBP% /PA1.75%—×0.930—×0.9881.61%
Singles /BIP25.60%÷1.002×0.920×0.950×0.98822.07%
Doubles /BIP8.00%÷0.940×0.960×0.950×0.9887.67%
Triples /BIP0.00%÷1.150×0.810×0.950×0.9880.00%
Home runs /BIP1.60%÷1.265×0.880—×0.9881.10%

Factors used: league row FSL. Park (home-season share, regressed): HR 153, 1B 100, 2B 88, 3B 130, K 101, BB 124 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .340 → .281; ISO .107 → .090; BABIP .333 → .293. 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 · 27 PAwOBA .383 → .320 (−63)K% 33.3% → 42.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.33%÷0.950×1.200——42.09%
BB% (unintentional) /PA14.81%÷1.027×0.690—×1.04810.43%
HBP% /PA0.00%—×0.940—×1.0480.00%
Singles /BIP28.57%÷1.021×0.930—×1.04827.28%
Doubles /BIP14.29%÷0.940×0.830—×1.04813.22%
Triples /BIP7.14%÷0.961×0.970—×1.0487.56%
Home runs /BIP0.00%÷0.903×0.840—×1.0480.00%

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 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .383 → .320; ISO .174 → .158; BABIP .500 → .481. 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 ALansing Lugnuts · 508 PAwOBA .298 → .234 (−64)K% 15.2% → 21.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.16%÷0.944×1.360——21.84%
BB% (unintentional) /PA7.48%÷0.970×0.690—×0.9905.27%
HBP% /PA1.77%—×0.780—×0.9901.37%
Singles /BIP21.43%÷1.044×0.920×0.966×0.99018.06%
Doubles /BIP7.14%÷0.982×0.830×0.966×0.9905.78%
Triples /BIP0.79%÷0.918×0.910×0.966×0.9900.75%
Home runs /BIP1.06%÷0.968×0.800—×0.9900.87%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 109, 2B 96, 3B 84, K 89, BB 94 — 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 ×0.966.

Result: wOBA .298 → .234; ISO .099 → .079; BABIP .294 → .246. 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+Dunedin Blue Jays · 52 PAwOBA .213 → .164 (−49)K% 17.3% → 25.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.31%÷0.955×1.420——25.75%
BB% (unintentional) /PA9.62%÷1.038×0.750—×0.9986.94%
HBP% /PA1.92%—×0.930—×0.9981.78%
Singles /BIP13.51%÷1.042×0.920×0.955×0.99811.36%
Doubles /BIP5.41%÷1.064×0.960×0.955×0.9984.64%
Triples /BIP0.00%÷1.150×0.810×0.955×0.9980.00%
Home runs /BIP0.00%÷0.912×0.880—×0.9980.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 82, 1B 108, 2B 113, 3B 130, K 91, BB 108 — 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 ×0.955.

Result: wOBA .213 → .164; ISO .043 → .034; BABIP .189 → .160. 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 ROKBluefield Blue Jays · 56 PAwOBA .306 → .227 (−80)K% 14.3% → 20.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.29%÷1.000×1.420——20.29%
BB% (unintentional) /PA8.93%÷1.000×0.640—×0.9755.57%
HBP% /PA5.36%—×0.740—×0.9753.87%
Singles /BIP20.00%÷1.000×0.840—×0.97516.38%
Doubles /BIP5.00%÷1.000×0.740—×0.9753.61%
Triples /BIP0.00%÷1.000×0.740—×0.9750.00%
Home runs /BIP2.50%÷1.000×0.800—×0.9751.95%

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 .306 → .227; ISO .104 → .078; BABIP .256 → .204. 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).