Zach Lutz

Pos3B
B/TR/R
Born1986-06-03
Age (2027)41
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201428AAALas Vegas 51s264.291/.388/.4497186—.235/.308/.361
201529AAALas Vegas 51s85.203/.306/.2971028—.169/.247/.247
201630AAANew Orleans Z…43.086/.256/.08600-19—.054/.186/.054
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)
200923 AABinghamton Mets — 3429 6100 570 00 207324241565 34273 2115 273 44 — — — — — —
200923 A+St. Lucie Mets — 415356 10119211 50727 11 284383441824 157327 1712 369 91 — — — — — —
201024 AAABuffalo Bisons — 2220 6401 230 00 3003646501.014 350312 149 433 114 — — — — — —
201024 AABinghamton Mets — 263225 6514017 33634 02 289389578967 289331 2413 419 114 — — — — — —
201024 ROKGCL Mets — 2019 6101 140 00 316350526876 211357 205 384 57 — — — — — —
201125 AAABuffalo Bisons — 250220 6512011 27703 00 295380500880 205388 2811 389 97 — — — — — —
201226 AAABuffalo Bisons — 294244 7316110 42755 00 299412496908 197391 2614 400 119 — — — — — —
201226 A+St. Lucie Mets — 2620 5201 450 00 250375500875 250250 1915 356 92 — — — — — —
201327 MLBNew York Mets — 2620 6200 660 00 300462400862 100429 2323 399 163 +2 +0 +0 +2 +1 0.5
201327 AAALas Vegas 51s — 466399 11727413 541024 02 293383479862 185357 2212 375 78 — — — — — —
201428 AAALas Vegas 51s — 264227 661127 29507 11 291388449837 159345 1911 375 86 — — — — — —
201529 AAALas Vegas 51s — 8574 15401 11180 01 203306297603 95255 2113 282 28 — — — — — —
201630 AAANew Orleans Zephyrs — 4335 3000 7181 00 8625686342 176 4216 194 -19 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 2620 6200 660 00 300462400862 100429 2323 399 156 +2 +0 +0 +2 +1 0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200923 AA MLEBinghamton Mets — 3430 6100 490 00 200294233527 33267 2612 233 44 — — — — — —
200923 A+ MLESt. Lucie Mets — 415369 881729 371027 11 238320369688 130298 259 302 91 — — — — — —
201024 AAA MLEBuffalo Bisons — 2220 5301 240 00 250318550868 300253 189 337 114 — — — — — —
201024 AA MLEBinghamton Mets — 263234 5813012 24794 02 248328457786 209317 309 337 114 — — — — — —
201024 ROK MLEGCL Mets — 2019 5101 160 00 263300474774 211268 305 253 57 — — — — — —
201125 AAA MLEBuffalo Bisons — 250229 571008 18823 00 249312397709 148352 337 311 97 — — — — — —
201226 AAA MLEBuffalo Bisons — 294257 6914110 29915 00 268354447801 179364 3110 344 119 — — — — — —
201226 A+ MLESt. Lucie Mets — 2621 5201 380 00 238333476810 238218 3112 304 92 — — — — — —
201327 MLB MLENew York Mets — 2620 6200 660 00 300462400862 100429 2323 409 163 +2 +0 +0 +2 +1 0.5
201327 AAA MLELas Vegas 51s — 466415 932039 381384 02 224295352647 128296 308 284 78 — — — — — —
201428 AAA MLELas Vegas 51s — 264238 56826 18687 11 235308361669 126302 267 295 86 — — — — — —
201529 AAA MLELas Vegas 51s — 8577 13301 8240 01 169247247494 78219 289 210 28 — — — — — —
201630 AAA MLENew Orleans Zephyrs — 4337 2000 5231 00 5418654240 148 5312 140 -19 — — — — — —
200923 A+ MLE2 teams — 449400 941829 401117 11 235315357673 122301 259 297 87 — — — — — —
200923 A+ RAW2 teams — 449385 10720211 55797 11 278378426804 148323 1812 361 87 — — — — — —
201024 AA MLE3 teams — 305274 6716014 26884 02 245319456775 212308 299 331 110 — — — — — —
201024 AA RAW3 teams — 305264 7719019 36704 02 292385580964 288331 2312 417 110 — — — — — —
201125 AAA MLEBuffalo Bisons — 250229 571008 18823 00 249312397709 148353 337 311 97 — — — — — —
201125 AAA RAWBuffalo Bisons — 250220 6512011 27703 00 295380500880 205388 2811 389 97 — — — — — —
201226 AAA MLE2 teams — 320278 7316110 32995 00 263349435784 173364 3110 341 117 — — — — — —
201226 AAA RAW2 teams — 320264 7818111 46805 00 295410496906 201379 2514 396 117 — — — — — —
201327 AAA MLE2 teams — 492435 992239 441444 02 228304354658 126311 299 291 83 — — — — — —
201327 AAA RAW2 teams — 492419 12329413 601084 02 294387475862 181361 2212 376 83 — — — — — —
201428 AAA MLELas Vegas 51s — 264238 56826 18687 11 235308361669 126303 267 295 86 — — — — — —
201428 AAA RAWLas Vegas 51s — 264227 661127 29507 11 291388449837 159345 1911 375 86 — — — — — —
201529 AAA MLELas Vegas 51s — 8577 13301 8240 01 169247247494 78231 289 210 28 — — — — — —
201529 AAA RAWLas Vegas 51s — 8574 15401 11180 01 203306297603 95255 2113 282 28 — — — — — —
201630 AAA MLENew Orleans Zephyrs — 4337 2000 5231 00 5418654240 143 5312 140 -19 — — — — — —
201630 AAA RAWNew Orleans Zephyrs — 4335 3000 7181 00 8625686342 176 4216 194 -19 — — — — — —
200923 A+ MLE2 teams — 449399 941829 401117 11 236315358674 123296 259 297 87 — — — — — —
201024 AA MLE3 teams — 305272 6716014 26884 02 246319460779 213309 299 331 110 — — — — — —
201125 AAA MLEBuffalo Bisons — 250227 571008 18823 00 251312401713 150352 337 311 97 — — — — — —
201226 AAA MLE2 teams — 320280 7316110 32995 00 261349432781 171352 3110 341 117 — — — — — —
201327 AAA MLE2 teams — 492441 992239 441444 02 224304349654 125303 299 291 83 — — — — — —
201428 AAA MLELas Vegas 51s — 264237 56826 18687 11 236308363671 127302 267 295 86 — — — — — —
201529 AAA MLELas Vegas 51s — 8577 13301 8240 01 169247247494 78219 289 210 28 — — — — — —
201630 AAA MLENew Orleans Zephyrs — 4337 2000 5231 00 5418654240 148 5312 140 -19 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 2620 6200 660 00 300462400862 100429 2323 399 90 +2 +0 +0 +2 +1 0.5
/ 162G— A+C — 650500 1505000 1501500 00 300462400862 100429 2323 399 90 +43 +0 +11 +44 +14 11.5
Career— MLE — 22081968 46193857 19163931 27 234312377688 142314 299 302 90 +2 +0 +0 +2 +1 0.5
/ 162G— MLE — 650579 13527217 561889 12 233310375685 142312 299 302 90 +43 +0 +11 +44 +14 11.5

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 AAANew Orleans Zephyrs · 43 PAwOBA .191 → .140 (−50)K% 41.9% → 52.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA41.86%÷1.027×1.290——52.57%
BB% (unintentional) /PA16.28%÷0.964×0.710—×0.97211.66%
HBP% /PA2.33%—×0.980—×0.9722.22%
Singles /BIP17.65%÷1.041×0.900—×0.97214.82%
Doubles /BIP0.00%÷0.929×0.810—×0.9720.00%
Triples /BIP0.00%÷1.057×0.810—×0.9720.00%
Home runs /BIP0.00%÷0.919×0.780—×0.9720.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 108, 2B 86, 3B 111, K 105, BB 93 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average).

Result: wOBA .191 → .140; ISO .000 → .000; BABIP .176 → .148. 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 AAALas Vegas 51s · 85 PAwOBA .275 → .210 (−65)K% 21.2% → 28.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.18%÷0.977×1.290——27.95%
BB% (unintentional) /PA12.94%÷1.010×0.710—×0.9828.93%
HBP% /PA0.00%—×0.980—×0.9820.00%
Singles /BIP17.86%÷0.983×0.900×1.004×0.98216.13%
Doubles /BIP7.14%÷1.042×0.810×1.004×0.9825.47%
Triples /BIP0.00%÷1.061×0.810×1.004×0.9820.00%
Home runs /BIP1.79%÷1.099×0.780—×0.9821.24%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 97, 2B 108, 3B 112, K 95, BB 102 — 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 ×1.004.

Result: wOBA .275 → .210; ISO .095 → .067; BABIP .255 → .219. 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 AAALas Vegas 51s · 264 PAwOBA .365 → .295 (−71)K% 18.9% → 25.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.94%÷0.945×1.290——25.84%
BB% (unintentional) /PA10.61%÷1.060×0.710—×0.9927.05%
HBP% /PA2.65%—×0.980—×0.9922.58%
Singles /BIP25.99%÷0.991×0.900×1.007×0.99223.57%
Doubles /BIP6.21%÷1.057×0.810×1.007×0.9924.76%
Triples /BIP1.13%÷0.900×0.810×1.007×0.9921.02%
Home runs /BIP3.95%÷0.925×0.780—×0.9923.31%

Factors used: league row PCL. Park (home-season share, regressed): HR 85, 1B 98, 2B 111, 3B 80, K 89, BB 112 — 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 ×1.007.

Result: wOBA .365 → .295; ISO .159 → .125; BABIP .345 → .302. 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).

2013 AAALas Vegas 51s · 466 PAwOBA .370 → .284 (−86)K% 21.9% → 29.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.89%÷0.952×1.290——29.67%
BB% (unintentional) /PA11.37%÷0.994×0.710—×1.0038.15%
HBP% /PA0.86%—×0.980—×1.0030.84%
Singles /BIP24.58%÷1.018×0.900×0.979×1.00321.34%
Doubles /BIP9.09%÷1.023×0.810×0.979×1.0037.07%
Triples /BIP1.35%÷1.150×0.810×0.979×1.0030.93%
Home runs /BIP4.38%÷1.078×0.780—×1.0033.18%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 104, 2B 105, 3B 130, K 90, BB 99 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.

Result: wOBA .370 → .284; ISO .185 → .132; BABIP .357 → .296. 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).

2012 AAABuffalo Bisons · 294 PAwOBA .391 → .344 (−48)K% 25.5% → 31.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.51%÷0.989×1.200——30.96%
BB% (unintentional) /PA13.95%÷1.002×0.690—×1.0189.78%
HBP% /PA1.70%—×0.940—×1.0181.63%
Singles /BIP27.22%÷0.992×0.930×0.997×1.01825.89%
Doubles /BIP9.47%÷0.963×0.830×0.997×1.0188.28%
Triples /BIP0.59%÷1.002×0.970×0.997×1.0180.58%
Home runs /BIP5.92%÷0.901×0.840—×1.0185.61%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 98, 2B 93, 3B 100, K 98, BB 100 — 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 ×0.997.

Result: wOBA .391 → .344; ISO .197 → .183; BABIP .391 → .364. 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).

2012 A+St. Lucie Mets · 26 PAwOBA .376 → .304 (−72)K% 19.2% → 29.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.23%÷0.933×1.420——29.27%
BB% (unintentional) /PA15.38%÷1.034×0.750—×0.96810.80%
HBP% /PA0.00%—×0.930—×0.9680.00%
Singles /BIP13.33%÷1.020×0.920—×0.96811.64%
Doubles /BIP13.33%÷1.036×0.960—×0.96811.96%
Triples /BIP0.00%÷1.016×0.810—×0.9680.00%
Home runs /BIP6.67%÷1.239×0.880—×0.9684.58%

Factors used: league row FSL. Park (home-season share, regressed): HR 148, 1B 104, 2B 107, 3B 103, K 87, BB 107 — 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).

Result: wOBA .376 → .304; ISO .250 → .200; BABIP .250 → .218. 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).

2011 AAABuffalo Bisons · 250 PAwOBA .379 → .311 (−68)K% 28.0% → 32.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.00%÷1.026×1.200——32.74%
BB% (unintentional) /PA10.80%÷1.088×0.690—×1.0337.07%
HBP% /PA1.20%—×0.940—×1.0331.17%
Singles /BIP28.00%÷1.008×0.930×0.986×1.03326.32%
Doubles /BIP8.00%÷0.977×0.830×0.986×1.0336.92%
Triples /BIP0.00%÷0.981×0.970×0.986×1.0330.00%
Home runs /BIP7.33%÷1.139×0.840—×1.0335.58%

Factors used: league row IL. Park (home-season share, regressed): HR 128, 1B 102, 2B 95, 3B 96, K 105, BB 118 — 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 ×0.986.

Result: wOBA .379 → .311; ISO .205 → .159; BABIP .388 → .352. 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).

2010 AABinghamton Mets · 263 PAwOBA .407 → .337 (−70)K% 24.0% → 30.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.95%÷0.975×1.220——29.98%
BB% (unintentional) /PA12.55%÷0.975×0.700—×1.0129.12%
HBP% /PA1.52%—×0.850—×1.0121.31%
Singles /BIP20.99%÷1.023×0.970×1.050×1.01221.15%
Doubles /BIP8.64%÷0.982×0.860×1.050×1.0128.05%
Triples /BIP0.00%÷1.150×0.950×1.050×1.0120.00%
Home runs /BIP10.49%÷1.048×0.780—×1.0127.90%

Factors used: league row EL. Park (home-season share, regressed): HR 110, 1B 105, 2B 96, 3B 130, K 95, BB 95 — 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 ×1.050.

Result: wOBA .407 → .337; ISO .289 → .221; BABIP .331 → .317. 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).