Nathan Lukes

RF Toronto Blue Jays
Age 33 L/R 5'11" / 180 lbs MLB Svc 2.843S2 · Ctrl thru 2030
Overview
MLB40-MANArb-1FA 2031
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202430AAATOR231.333/.403/.46974105—.293/.342/.391
202430MLBTOR91.303/.384/.447111220.0
202531MLBTOR438.255/.325/.4071221000.6
202632MLBTOR450.277/.330/.3871011000.6
2027PROJ33MLBTOR301.263/.324/.387721010.7
2028PROJ82% MLB34MLBTOR203.252/.311/.3644091-0.2
Last 3 seasons WAR 1.2  ·  Next 2 projected WAR 0.5Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2030Service2.843First FA2031Super-2
2027Arb-1$1M2028Arb-2$1M2029Ext$2M2030Ext$4M
Skills · percentileStatcast 2024-2026
xwOBA48
Speed40
Avg EV29
Bat Spd17
Barrel%15
Form.267/.317/.366 ▼ rolling true talent (60d window) · proj .261/.320/.386
CompsCorban Joseph (age 32) · Jason Krizan (age 33) · Luis Lopez (age 33)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 91101vR 104
AVG/OBP/SLG.263 / .324 / .387
PA301
HR7
K%15
BB%7
BABIP292
ISO128
MLB%100%
Value2027 · WAR
BAT: +0.2 runs (wOBA-derived runs vs avg)+0BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +3.3 runs (Defensive runs vs avg)+3FLDPOS: -3.2 runs (Positional adjustment)-3POSREP: +6.5 runs (Replacement-level credit)+7REPTotal WAR: +0.70+0.7WAR
0.00.51.00.70.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit+$4M ctrl surplus
Tools · Recent Form · Splits · ContractCON 60 / POW 40
Toolsscout grade · Statcast %ile · 2024-2026
CONTACT60
xAVG
620.261
POWER40
Barrel%
153.6
Avg EV
2987.5
Bat Spd
1767.8
EYE45
scouting grade only
SPEED50
Sprint
4027.0
Recent Formrolling true talent ⓘ
K%13%▲12% over 91 PA (60d) · proj 15%
BB%6%▼4% over 91 PA (60d) · proj 7%
ISO.098▼.048 over 83 AB (60d) · proj .125
HR/BB1.7%▼0.0% over 73 BBE (60d) · proj 2.9%
BABIP.297▲.370 over 73 BIP (60d) · proj .291
SLASH.267/.317/.366▼proj .261/.320/.386
Platoon Splits2024-2026 · 570 PA
vs LHP
vs RHP
Edge
PA
53
517
—
wRC+
98
106
▶R
wOBA
313
325
▶R
ISO
119
148
▶▶R
BABIP
323
280
◀L
K%
22.6%
11.8%
▶▶R
BB%
11.3%
7.5%
◀◀L
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Pre-Arb SUPER-2
MLB Debut   2023
Service   2.843 yrs.days
Team Control Through   2030
First FA Year   2031
YearStatusSalary Proj WAR Value Surplus
2027Arb-1$1M+0.7$3M+$2M
2028Arb-2$1M———
2029Extbeyond projection horizon · no WAR estimate
2030Extbeyond projection horizon · no WAR estimate
Totals $1M $2M +$2M

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)
201622 A+Charlotte Stone Crabs — 9490 19201 3140 11 211237267503 56240 153 226 3 — — — — — —
201622 ALake County Captains — 393342 1032185 37606 148 301379453832 152349 159 364 88 — — — — — —
201723 AAMontgomery Biscuits — 404359 971553 32713 68 270335365700 95323 188 310 69 — — — — — —
201723 A+Charlotte Stone Crabs — 2220 8100 240 12 400455450905 50500 189 410 103 — — — — — —
201824 AAMontgomery Biscuits — 484435 1212936 31936 94 278335400735 122336 196 322 80 — — — — — —
201925 AAADurham Bulls — 295260 57834 26563 73 219298319617 100260 199 277 49 — — — — — —
202127 AAADurham Bulls — 326294 893114 21414 22 303357456813 153335 136 354 98 — — — — — —
202228 AAABuffalo Bisons — 484428 12225111 47897 203 285365425790 140336 1810 354 89 — — — — — —
202329 MLBToronto Blue Jays — 3126 5110 490 00 192300308608 115278 2913 271 68 -1 +0 +0 -3 +1 -0.3
202329 AAABuffalo Bisons — 222202 741615 17253 31 366423530953 163401 118 422 126 — — — — — —
202430 MLBToronto Blue Jays — 9176 23421 1090 10 303384447831 145319 1011 351 122 +2 +0 -1 -3 +2 0.0
202430 AAABuffalo Bisons — 231207 69707 22362 42 333403469871 135378 1610 390 105 — — — — — —
202531 MLBToronto Blue Jays — 438388 9919212 38602 24 255325407732 152273 149 320 100 +0 -1 +2 -5 +9 0.6
202632 MLBToronto Blue Jays — 450408 11315010 25647 11 277330387717 110306 146 316 100 -0 -0 +1 -5 +10 0.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 1010898 24039523 771429 45 267331399730 131292 148 320 103 +3 -1 +2 -16 +22 1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201622 A+ MLECharlotte Stone Crabs — 9491 15101 2200 11 165183209392 44206 212 173 3 — — — — — —
201622 A MLELake County Captains — 393353 911873 26796 148 258319374693 116309 207 299 88 — — — — — —
201723 AA MLEMontgomery Biscuits — 404370 901442 21873 68 243289319608 76297 225 270 69 — — — — — —
201723 A+ MLECharlotte Stone Crabs — 2220 7100 260 12 350409400809 50434 279 321 103 — — — — — —
201824 AA MLEMontgomery Biscuits — 484445 1162735 211076 94 261303369672 108315 224 287 80 — — — — — —
201925 AAA MLEDurham Bulls — 295267 54733 19663 73 202263285548 82241 226 240 49 — — — — — —
202127 AAA MLEDurham Bulls — 326301 862613 14484 22 286326409735 123313 154 313 98 — — — — — —
202228 AAA MLEBuffalo Bisons — 484446 1162218 291057 203 260315368683 108318 226 300 89 — — — — — —
202329 MLB MLEToronto Blue Jays — 3126 5110 490 00 192300308608 115278 2913 269 68 -1 +0 +0 -3 +1 -0.3
202329 AAA MLEBuffalo Bisons — 222208 671314 11313 31 322365452817 130364 145 354 126 — — — — — —
202430 MLB MLEToronto Blue Jays — 9176 23421 1090 10 303384447831 145319 1011 349 122 +2 +0 -1 -3 +2 0.0
202430 AAA MLEBuffalo Bisons — 231215 63605 14432 42 293342391733 98351 196 324 105 — — — — — —
202531 MLB MLEToronto Blue Jays — 438390 9919212 36602 24 254320405725 151273 148 316 100 +0 -1 +2 -5 +9 0.6
202632 MLB MLEToronto Blue Jays — 450408 11315010 25647 11 277330387717 110306 146 315 100 -0 -0 +1 -5 +10 0.6
201622 A MLE2 teams — 487444 1061974 28996 159 239293340633 101296 206 275 72 — — — — — —
201622 A RAW2 teams — 487432 1222386 40746 159 282351414766 132326 158 337 72 — — — — — —
201723 AA MLE2 teams — 426390 961542 23933 710 246293321614 74312 225 273 71 — — — — — —
201723 AA RAW2 teams — 426379 1051653 34753 710 277341369711 92332 188 315 71 — — — — — —
201824 AA MLEMontgomery Biscuits — 484445 1162735 211076 94 261303369672 108327 224 287 80 — — — — — —
201824 AA RAWMontgomery Biscuits — 484435 1212936 31936 94 278335400735 122336 196 322 80 — — — — — —
201925 AAA MLEDurham Bulls — 295267 54733 19663 73 202263285548 82252 226 240 49 — — — — — —
201925 AAA RAWDurham Bulls — 295260 57834 26563 73 219298319617 100260 199 277 49 — — — — — —
202127 AAA MLEDurham Bulls — 326301 862613 14484 22 286326409735 123325 154 313 98 — — — — — —
202127 AAA RAWDurham Bulls — 326294 893114 21414 22 303357456813 153335 136 354 98 — — — — — —
202228 AAA MLEBuffalo Bisons — 484446 1162218 291057 203 260315368683 108322 226 300 89 — — — — — —
202228 AAA RAWBuffalo Bisons — 484428 12225111 47897 203 285365425790 140336 1810 354 89 — — — — — —
202329 AAA MLE2 teams — 253234 721424 15403 31 308357436793 128356 166 344 119 — — — — — —
202329 AAA RAW2 teams — 253228 791725 21343 31 346409504913 158389 138 404 119 — — — — — —
202430 AAA MLE2 teams — 322291 861026 24522 52 296353405759 110339 167 331 110 — — — — — —
202430 AAA RAW2 teams — 322283 921128 32452 52 325397463860 138361 1410 379 110 — — — — — —
202531 MLB MLEToronto Blue Jays — 438390 9919212 36602 24 254320405725 151271 148 316 100 +0 -1 +2 -5 +9 0.6
202531 MLB RAWToronto Blue Jays — 438388 9919212 38602 24 255325407732 152273 149 320 100 +0 -1 +2 -5 +9 0.6
202632 MLB MLEToronto Blue Jays — 450408 11315010 25647 11 277330387717 110306 146 315 100 -0 -0 +1 -5 +10 0.6
202632 MLB RAWToronto Blue Jays — 450408 11315010 25647 11 277330387717 110306 146 316 100 -0 -0 +1 -5 +10 0.6
201622 A MLE2 teams — 487450 1061974 28996 159 236293336628 100289 206 275 72 — — — — — —
201723 AA MLE2 teams — 426397 961542 23933 710 242293315608 73304 225 273 71 — — — — — —
201824 AA MLEMontgomery Biscuits — 484454 1162735 211076 94 256303361664 106315 224 287 80 — — — — — —
201925 AAA MLEDurham Bulls — 295271 54733 19663 73 199263280543 81241 226 240 49 — — — — — —
202127 AAA MLEDurham Bulls — 326305 862613 14484 22 282326403729 121313 154 313 98 — — — — — —
202228 AAA MLEBuffalo Bisons — 484445 1162218 291057 203 261315369684 108318 226 300 89 — — — — — —
202329 AAA MLE2 teams — 253233 721424 15403 31 309357438795 129353 166 344 119 — — — — — —
202430 AAA MLE2 teams — 322293 861026 24522 52 294353403756 109342 167 331 110 — — — — — —
202531 MLB MLEToronto Blue Jays — 438397 9919212 36602 24 249320398718 149273 148 316 100 — — — — — —
202632 MLB MLEToronto Blue Jays — 450415 11315010 25647 11 272330381710 108306 146 315 100 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202430 AAA MLE2 teams — 322293 861026 24522 52 294353403756 109342 167 331 110 — — — — — —
202531 MLB MLEToronto Blue Jays — 438397 9919212 36602 24 249320398718 149273 148 316 100 — — — — — —
202632 MLB MLEToronto Blue Jays — 450415 11315010 25647 11 272330381710 108306 146 315 100 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202733 MLB MLETOR 100% 404368 961619 29624 31 262323386709 124291 157 317 101 +0 +0 +4 -4 +9 0.7
▸ 2027 — real world (MLB)
202733 MLB CTXTOR 100% 301274 721217 21463 21 263324387711 125292 157 318 101 +0 +0 +3 -3 +7 0.7
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202834 MLB MLETOR 82% 247226 57915 17392 00 251311363674 112282 167 302 91 -3 +0 -2 -3 +5 -0.2
202834 MLB CTXTOR 82% 203185 47714 14322 00 252311364676 113283 167 303 91 -2 +0 -2 -2 +4 -0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 12131083 28746627 9117411 45 265328393722 128291 148 317 89 +1 -1 +1 -18 +26 0.9
/ 162G— A+C — 650580 15325314 49936 23 264328390717 126290 148 317 89 +0 -1 +0 -10 +14 0.5
Career— MLE — 45134116 10731952769 27281948 7340 261314371685 111307 186 299 89 +0 -1 +4 -22 +34 1.5
/ 162G— MLE — 650593 15528410 391187 116 261315373687 111308 186 299 89 +0 -1 +1 -9 +14 0.6

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.

2024 AAABuffalo Bisons · 231 PAwOBA .380 → .324 (−56)K% 15.6% → 18.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.58%÷1.004×1.200——18.63%
BB% (unintentional) /PA9.52%÷1.028×0.690—×0.9726.21%
HBP% /PA0.87%—×0.940—×0.9720.79%
Singles /BIP32.16%÷0.988×0.930×1.038×0.97230.55%
Doubles /BIP4.09%÷0.959×0.830×1.038×0.9723.58%
Triples /BIP0.00%÷1.150×0.970×1.038×0.9720.00%
Home runs /BIP4.09%÷0.990×0.700—×0.9722.81%

Factors used: league row International League. Park (home-season share, regressed): HR 98, 1B 98, 2B 92, 3B 130, K 101, BB 106 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.038.

Result: wOBA .380 → .324; ISO .135 → .100; BABIP .378 → .351. 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).

2023 AAABuffalo Bisons · 222 PAwOBA .409 → .354 (−55)K% 11.3% → 13.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.26%÷0.973×1.200——13.89%
BB% (unintentional) /PA7.21%÷0.984×0.690—×0.9824.96%
HBP% /PA1.35%—×0.940—×0.9821.25%
Singles /BIP29.38%÷1.018×0.930×1.050×0.98227.68%
Doubles /BIP9.04%÷1.033×0.830×1.050×0.9827.49%
Triples /BIP0.56%÷1.150×0.970×1.050×0.9820.49%
Home runs /BIP2.82%÷0.916×0.700—×0.9822.12%

Factors used: league row International League. Park (home-season share, regressed): HR 83, 1B 104, 2B 107, 3B 130, K 95, BB 97 — 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 ×1.050.

Result: wOBA .409 → .354; ISO .163 → .130; BABIP .401 → .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).

2022 AAABuffalo Bisons · 484 PAwOBA .344 → .300 (−44)K% 18.4% → 21.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.39%÷1.018×1.200——21.68%
BB% (unintentional) /PA9.09%÷1.032×0.690—×0.9926.03%
HBP% /PA1.45%—×0.940—×0.9921.35%
Singles /BIP25.07%÷0.960×0.930×1.022×0.99224.63%
Doubles /BIP7.37%÷0.984×0.830×1.022×0.9926.31%
Triples /BIP0.29%÷1.149×0.970×1.022×0.9920.25%
Home runs /BIP3.24%÷0.951×0.700—×0.9922.37%

Factors used: league row International League. Park (home-season share, regressed): HR 90, 1B 92, 2B 97, 3B 130, K 104, 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 ×1.022.

Result: wOBA .344 → .300; ISO .140 → .112; BABIP .336 → .318. 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).

2021 AAADurham Bulls · 326 PAwOBA .350 → .313 (−37)K% 12.6% → 14.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.58%÷1.029×1.200——14.67%
BB% (unintentional) /PA6.44%÷1.016×0.690—×1.0034.39%
HBP% /PA1.23%—×0.940—×1.0031.16%
Singles /BIP20.95%÷0.945×0.930×1.034×1.00321.38%
Doubles /BIP12.25%÷1.067×0.830×1.034×1.0039.88%
Triples /BIP0.40%÷1.150×0.920×1.034×1.0030.33%
Home runs /BIP1.58%÷1.059×0.700—×1.0031.05%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 89, 2B 113, 3B 130, K 106, BB 103 — 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 ×1.034.

Result: wOBA .350 → .313; ISO .153 → .121; BABIP .335 → .313. 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).

2019 AAADurham Bulls · 295 PAwOBA .274 → .240 (−34)K% 19.0% → 22.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.98%÷1.020×1.200——22.33%
BB% (unintentional) /PA8.81%÷0.998×0.690—×1.0336.30%
HBP% /PA1.02%—×0.940—×1.0330.99%
Singles /BIP20.59%÷0.986×0.930×0.974×1.03319.53%
Doubles /BIP3.92%÷1.006×0.830×0.974×1.0333.25%
Triples /BIP1.47%÷1.025×0.970×0.974×1.0331.40%
Home runs /BIP1.96%÷1.128×0.840—×1.0331.51%

Factors used: league row IL. Park (home-season share, regressed): HR 126, 1B 97, 2B 101, 3B 105, K 104, BB 100 — 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 ×0.974.

Result: wOBA .274 → .240; ISO .100 → .084; BABIP .260 → .241. 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 AAMontgomery Biscuits · 484 PAwOBA .317 → .287 (−30)K% 19.2% → 22.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.21%÷1.055×1.220——22.21%
BB% (unintentional) /PA6.40%÷1.031×0.680—×1.0124.28%
HBP% /PA1.24%—×0.840—×1.0121.05%
Singles /BIP24.27%÷0.965×0.920×0.988×1.01223.13%
Doubles /BIP8.48%÷1.007×0.910×0.988×1.0127.66%
Triples /BIP0.88%÷1.010×0.880×0.988×1.0120.76%
Home runs /BIP1.75%÷0.984×0.800—×1.0121.44%

Factors used: league row SL. Park (home-season share, regressed): HR 97, 1B 93, 2B 101, 3B 102, K 111, BB 106 — 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 ×0.988.

Result: wOBA .317 → .287; ISO .122 → .109; BABIP .336 → .315. 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 AAMontgomery Biscuits · 404 PAwOBA .305 → .270 (−36)K% 17.6% → 21.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.57%÷0.994×1.220——21.57%
BB% (unintentional) /PA7.67%÷1.018×0.680—×1.0275.26%
HBP% /PA0.74%—×0.840—×1.0270.64%
Singles /BIP25.69%÷1.013×0.920×0.994×1.02723.82%
Doubles /BIP5.21%÷0.986×0.910×0.994×1.0274.91%
Triples /BIP1.74%÷1.146×0.880×0.994×1.0271.36%
Home runs /BIP1.04%÷1.008×0.800—×1.0270.85%

Factors used: league row SL. Park (home-season share, regressed): HR 102, 1B 103, 2B 97, 3B 129, K 99, BB 104 — 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 ×0.994.

Result: wOBA .305 → .270; ISO .095 → .083; BABIP .323 → .297. 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+Charlotte Stone Crabs · 22 PAwOBA .399 → .321 (−78)K% 18.2% → 25.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.18%÷1.017×1.420——25.39%
BB% (unintentional) /PA9.09%÷0.967×0.750—×0.9987.04%
HBP% /PA0.00%—×0.930—×0.9980.00%
Singles /BIP43.75%÷1.073×0.920—×0.99837.43%
Doubles /BIP6.25%÷1.007×0.960—×0.9985.94%
Triples /BIP0.00%÷1.024×0.810—×0.9980.00%
Home runs /BIP0.00%÷0.917×0.880—×0.9980.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 83, 1B 115, 2B 102, 3B 105, K 103, BB 93 — 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).

Result: wOBA .399 → .321; ISO .050 → .044; BABIP .500 → .434. 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).