Nathan LukesRF Toronto Blue Jays
INJURED · Injured 10-Day (D10)
Age 32 L/R 5'11" / 180 lbs MLB HR +12%BB +4% Svc 1.843 · Ctrl thru 2030 peak 0.5 · 2027
wRC+†vL 7590vR 87
AVG/OBP/SLG.268 / .336 / .410
PA166
HR4
K%15
BB%9
MLB%100%
BAT: -2.0 runs (wOBA-derived runs vs avg)-2BATRUN: -0.1 runs (SB/CS + UBR baserunning)-0RUNFLD: +1.6 runs (Defensive runs vs avg)+2FLDPOS: -1.8 runs (Positional adjustment)-2POSREP: +4.7 runs (Replacement-level credit)+5REPTotal WAR: +0.20+0.2WAR
Scouting · nowfuture
HIT
6060
PWR
4040
SPD
5050
EYE
4945
trajectory · 10 yrs
0.5peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2023
Service   1.843 yrs.days
Team Control Through   2030
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Pre-Arb$0.8M+0.2$0.8M+$0.0M (cut)
2027Pre-Arb$0.8M+0.5$2M+$1M
2028Arb-1$0.2M+0.1$0.4M+$0.2M
2029Arb-2$0.4M
2030Extbeyond projection horizon · no WAR estimate
Totals $0.9M $2M +$1M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
201622 A2 teams 487443 1071974 29946 159 .242.297.343.640 .102.295 196 .276 69 -17 -1 +0 -5 +14 -0.9
201723 AA2 teams 426391 941543 22993 710 .240.286.322.608 .082.308 235 .262 59 -20 -3 +0 -5 +12 -1.5
201824 AAMontgomery Biscuits 484446 1142636 201146 94 .256.297.368.664 .112.325 244 .283 75 -14 +0 +0 -5 +14 -0.5
201925 AAADurham Bulls 295268 52733 18663 73 .194.253.276.529 .082.241 226 .233 37 -21 +0 +0 -3 +8 -1.6
202127 AAADurham Bulls 326301 852613 14484 22 .282.323.405.728 .123.322 154 .315 99 -0 -0 +0 -3 +9 0.5
202228 AAABuffalo Bisons 484445 11822110 301057 203 .265.322.387.708 .121.325 226 .310 95 -3 +3 +0 -5 +14 0.9
202329 AAA2 teams 253234 741425 15403 31 .316.365.457.822 .141.363 166 .356 130 +9 +0 +0 -3 +7 1.4
202430 AAA2 teams 322290 881027 25522 52 .303.363.424.787 .121.346 168 .341 119 +7 +0 -1 -3 +9 1.2
202531 MLBToronto Blue Jays 438388 10020211 38602 24 .258.327.405.732 .147.278 149 .311 96 -2 -1 +2 -5 +12 0.6
▸ 2026 Season (actual · ROS · total)
202632 MLBToronto Blue Jays 5551 12300 172 01 .235.278.294.572 .059.267 132 .255 53 -3 -0 +1 -1 +2 -0.1
ROS32 MLBTOR 111100 27512 9161 10 .270.336.400.736 .130.295 148 .326 108 +1 +0 +1 -1 +3 0.4
TOT32 MLBTOR 166151 39812 10233 11 .258.317.364.681 .106.289 146 .302 90 -2 -0 +2 -2 +5 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202733 MLBTOR 338305 801527 27463 21 .262.328.393.722 .131.287 148 .320 103 +1 +0 -2 -4 +10 0.5
202834 MLBTOR 294266 681325 23433 11 .256.322.376.698 .120.285 158 .313 98 -1 -0 -3 -3 +8 0.1
202935 MLBTOR 242219 551024 19382 00 .251.317.370.687 .119.282 168 .304 91 -2 +0 -4 -3 +7 -0.2
▸ Career Totals (MLE all levels + projections)
Career 45004096 10622023270 28982145 7440 .259.315.375.691 .116.306 186 .300 88 -62 -1 -7 -48 +128 0.9
/ 162G 650592 15329510 421196 116 .258.314.375.689 .117.305 186 .300 88 -9 -0 -1 -7 +18 0.1

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
201622 A+Charlotte Stone Crabs 9490 19201 3140 11 .211.237.267.503 .056.240 153 .226 31 -7 -0 +3 -0.5
201622 ALake County Captains 393342 1032185 37606 148 .301.379.453.832 .152.349 159 .364 137 +16 -0 +11 2.8
201723 AAMontgomery Biscuits 404359 971553 32713 68 .270.335.365.700 .095.323 188 .310 95 -2 -2 +11 0.7
201723 A+Charlotte Stone Crabs 2220 8100 240 12 .400.455.450.905 .050.500 189 .410 172 +2 -1 +1 0.2
201824 AAMontgomery Biscuits 484435 1212936 31936 94 .278.335.400.735 .122.336 196 .322 104 +2 +0 +14 1.7
201925 AAADurham Bulls 295260 57834 26563 73 .219.298.319.617 .100.260 199 .277 70 -10 +0 +8 -0.1
202127 AAADurham Bulls 326294 893114 21414 22 .303.357.456.813 .153.335 136 .354 129 +11 -0 +9 2.0
202228 AAABuffalo Bisons 484428 12225111 47897 203 .285.365.425.790 .140.336 1810 .354 129 +16 +3 +14 3.3
202329 MLBToronto Blue Jays 3126 5110 490 00 .192.300.308.608 .115.278 2913 .271 66 -1 +0 +0 -3 +1 -0.3
202329 AAABuffalo Bisons 222202 741615 17253 31 .366.423.530.953 .163.401 118 .422 181 +20 +0 +6 2.7
202430 MLBToronto Blue Jays 9176 23421 1090 10 .303.384.447.831 .145.319 1011 .351 126 +3 +0 -1 -3 +3 0.1
202430 AAABuffalo Bisons 231207 69707 22362 42 .333.403.469.871 .135.378 1610 .390 157 +15 +0 +7 2.2
202531 MLBToronto Blue Jays 438388 9919212 38602 24 .255.325.407.732 .152.273 149 .320 103 +2 -1 +2 -5 +12 1.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career 560490 12724513 52782 34 .259.333.408.741 .149.281 149 .323 105 +3 -1 +2 -11 +16 0.9

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

Scouting At Match Age Next 3 Yrs Peak 3 Yrs
Comp Age HIT PWR SPD EYE AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR
Nathan Lukes (OGILVIE) 32 60 40 50 45 .264/.329/.397 .133.289 31 13% 8% 108 +0.6
Corban Joseph
2021 · MLB
32 54→58 47→50 48→45 49 .265/.313/.410 .145.289 145 14% 6% 104 +2.0 .243/.296/.368 .125.280 127 17% 7% 85 +0.7 .255/.311/.359.104.2869014%7%86+0.2
Melky Cabrera
2017 · MLB
32 58→68 46→50 49→50 52 .282/.331/.424 .142.302 134 12% 7% 115 +2.7 .281/.325/.419 .138.303 133 12% 6% 111 +2.5 .283/.323/.412.129.30413212%5%104+1.6
Danny Bautista
2004 · MLB
32 57→59 46→50 48→45 50 .279/.331/.417 .138.310 139 15% 7% 113 +2.6 .274/.325/.399 .125.301 128 13% 7% 105 +2.1 .284/.332/.398.114.30711611%6%105+2.0
James Loney
2016 · MLB
32 59→64 42→50 42→45 51 .287/.334/.393 .107.311 104 12% 7% 108 +2.3 .266/.313/.372 .106.287 103 11% 6% 93 +1.3 .277/.314/.385.108.29311010%4%92+1.0
Tony Kemp
2023 · MLB
31 52→60 43→45 52→55 58 .250/.334/.365 .115.274 1012 13% 10% 102 +1.8 .229/.308/.338 .109.248 1015 12% 9% 84 +0.6 .215/.297/.312.098.229101811%9%71-0.2
Matt Hague
2018 · MLB
32 55→64 43→45 48→45 49 .266/.322/.374 .107.301 107 15% 7% 98 +1.6 .235/.301/.332 .097.278 98 18% 8% 79 +0.3 .214/.308/.270.056.2602017%12%66-0.2
Marco Scutaro
2007 · MLB
31 53→62 45 50→45 54 .257/.318/.390 .133.284 106 14% 8% 100 +1.7 .261/.338/.375 .114.287 108 12% 10% 105 +2.1 .272/.348/.388.116.29210810%10%109+2.4
Skip Schumaker
2011 · MLB
31 60→64 40→45 45→50 55 .285/.346/.380 .095.315 76 12% 8% 109 +2.4 .268/.329/.354 .086.309 54 14% 8% 95 +1.4 .267/.329/.341.074.3143215%8%88+0.5
Clint Robinson
2017 · MLB
32 50→58 47→55 47→40 53 .247/.321/.383 .136.284 152 19% 9% 100 +1.7 .219/.279/.360 .141.274 173 26% 7% 77 +0.1 .198/.252/.341.143.25318029%6%58-1.0
Ricardo Nanita
2013 · AAA
32 55→60 45 44→50 45 .269/.306/.390 .121.293 139 14% 4% 95 +1.4 .253/.292/.370 .117.287 138 16% 5% 84 +0.6 .260/.297/.370.110.29712416%4%84+0.3
Terrence Long
2006 · MLB
30 55→58 44→50 45 50 .268/.314/.389 .121.295 106 13% 6% 98 +1.6 .246/.291/.367 .121.290 125 19% 6% 83 +0.6 .225/.263/.340.116.27313023%5%60-0.6
Gerardo Parra
2019 · MLB
32 54→62 43→50 44→55 46 .264/.309/.377 .112.306 1110 17% 6% 93 +1.3 .244/.307/.366 .122.290 1312 20% 7% 90 +1.0 .222/.292/.345.123.269131222%8%73-0.0
Joe Inglett
2010 · MLB
32 57→64 41→45 50 50 .269/.325/.378 .108.309 612 15% 7% 99 +1.7 .249/.315/.365 .116.310 711 20% 8% 92 +1.2 .259/.338/.419.159.3353421%9%110+0.6
Jose Espinoza
2006 · AAA
32 54→57 44→45 49→45 48 .261/.316/.379 .118.312 129 20% 7% 97 +1.5 .270/.333/.384 .114.313 107 16% 8% 105 +2.1 .276/.336/.377.101.3238616%7%100+1.2
Sean Casey
2006 · MLB
32 62→64 48→50 50→40 56 .306/.365/.454 .148.311 154 8% 8% 137 +4.3 .291/.351/.410 .119.310 103 9% 8% 119 +3.1 .290/.352/.389.099.3156210%8%101+1.2
Kevan Smith
2020 · MLB
32 54 44→50 49→40 47 .262/.314/.378 .116.296 125 16% 6% 96 +1.5 .234/.305/.355 .121.292 127 23% 8% 87 +0.8 .163/.242/.193.030.2400029%9%2-0.9
Wilfredo Arano
2007 · AAA
31 55 44→45 50→45 52 .267/.324/.387 .120.279 127 10% 7% 102 +1.9 .252/.305/.336 .084.265 76 8% 6% 81 +0.4 .284/.332/.349.065.298627%5%95+0.5
Dioner Navarro
2015 · MLB
31 54→61 47→50 46→45 50 .270/.320/.401 .131.293 164 14% 7% 104 +2.0 .240/.297/.367 .127.274 154 18% 7% 86 +0.8 .208/.275/.313.105.24512120%8%60-0.4
Daniel Nava
2015 · MLB
32 55→61 44→50 42→45 53 .266/.349/.386 .120.319 115 19% 9% 113 +2.6 .251/.333/.349 .098.310 96 20% 9% 97 +1.5 .249/.341/.329.080.3106420%10%93+0.5
Brandon Guyer
2018 · MLB
32 51→56 46→55 48→55 48 .250/.346/.385 .135.292 139 18% 7% 113 +2.6 .223/.314/.368 .145.263 156 21% 7% 95 +1.4 .186/.282/.340.155.20519220%6%72-0.1