Luke NapletonC Fort Myers Mighty Mussels
Age 24 R/R 6'1" / 215 lbs A BB +3% Svc 0.0 · Ctrl thru 2036 peak 0.8 · 2029
wRC+†61
AVG/OBP/SLG.204 / .270 / .311
PA97
HR2
K%31
BB%7
MLB%0%
BAT: -4.3 runs (wOBA-derived runs vs avg)-4BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.7 runs (Positional adjustment)+2POSREP: +2.7 runs (Replacement-level credit)+3REPTotal WAR: +0.10+0.1WAR
trajectory · 10 yrs
0.8peak
2029

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Arb-3$0.9M+0.7$3M+$2M
2032Ext / FA-deal$0.9M+0.5$2M+$1M
2033Ext / FA-deal$1.0M+0.3$1M+$0.5M
2034Ext / FA-deal$3M
2035Ext / FA-deal$0.4M
2036Ext / FA-deal$0.6M
Totals $7M $3M -$4M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202523 A2 teams 9479 12002 9402 10 .152.256.228.483 .076.244 4310 .220 27 -8 +0 +0 +2 +3 -0.3
▸ 2026 Season
202624 MLBMIN 9789 19312 7301 20 .213.278.337.615 .124.290 317 .265 61 -4 +0 +0 +2 +3 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 10%MIN 167150 33614 13512 31 .220.291.353.644 .133.292 318 .278 71 -5 +0 +0 +3 +5 0.3
202826 MLB 25%MIN 262236 52926 21783 41 .220.292.352.644 .131.294 308 .286 77 -7 +0 +0 +5 +7 0.6
202927 MLB 42%MIN 317286 631128 25943 51 .220.290.357.646 .136.294 308 .288 79 -8 +1 +0 +6 +9 0.8
203028 MLB 52%MIN 352316 681228 291044 51 .215.289.342.631 .127.293 308 .288 78 -9 +1 -1 +6 +10 0.8
203129 MLB 63%MIN 367330 721329 301094 51 .218.291.352.643 .133.292 308 .286 77 -10 +1 -1 +7 +10 0.7
203230 MLB 72%MIN 375337 731329 311134 41 .217.290.347.638 .131.291 308 .283 74 -11 +0 -2 +7 +11 0.5
203331 MLB 81%MIN 358322 681228 291104 20 .211.285.335.620 .124.289 318 .279 72 -11 +0 -3 +6 +10 0.3
203432 MLB 87%MIN 335302 631127 271043 10 .209.280.328.608 .119.288 318 .274 68 -12 +0 -4 +6 +9 0.0
203533 MLBMIN 299270 55926 24953 00 .204.276.319.595 .115.286 328 .269 64 -12 +0 -4 +5 +8 -0.3
203634 MLBMIN 253229 46815 20832 00 .201.271.310.581 .109.285 338 .263 59 -12 +0 -5 +5 +7 -0.5
▸ Career Totals (MLE all levels + projections)
Career 32762946 6241071974 265101135 326 .212.285.336.621 .125.292 318 .278 71 -108 +4 -20 +59 +93 2.8
/ 162G 650585 12421415 532017 61 .212.286.338.624 .126.292 318 .278 71 -22 +1 -4 +12 +18 0.6

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
202523 A+Cedar Rapids Kernels 4436 4001 6191 00 .111.256.194.450 .083.176 4314 .221 27 -4 +0 +1 -0.2
202523 AFort Myers Mighty Mussels 5040 10001 6111 10 .250.362.325.687 .075.290 2212 .303 90 -1 +0 +1 0.1

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
Luke Napleton (OGILVIE) 24 .204/.270/.311 .106.290 22 31% 7% 61 -0.2
Sicnarf Loopstok
2017 · A
24 43→37 43→50 50 38 .211/.270/.324 .114.293 1012 30% 5% 64 -0.8 .213/.281/.365 .152.300 189 34% 7% 80 +0.4 .204/.280/.377.174.28122734%7%84+0.4
Jake Rogers
2019 · AA
24 38→40 47→55 48→45 41 .196/.261/.330 .133.269 159 32% 7% 62 -0.9 .203/.278/.366 .163.280 206 33% 8% 79 +0.3 .206/.283/.412.206.26529133%8%91+0.6
Jeferson Morales
2023 · A
24 39→46 46→45 49→50 44 .197/.277/.329 .131.260 149 29% 7% 69 -0.4 .215/.289/.346 .131.275 139 25% 7% 78 +0.2 .223/.298/.355.132.27712823%7%81+0.2
Andrew Navigato
2022 · AA
24 41→40 44→60 46→50 44 .202/.279/.318 .116.282 1212 31% 8% 67 -0.5 .221/.280/.382 .161.276 1914 27% 6% 84 +0.6 .220/.279/.406.186.266231726%6%87+0.6
Carson Blair
2014 · A
24 38 44→50 45→30 40 .187/.254/.308 .121.292 116 38% 8% 53 -1.5 .202/.276/.338 .136.333 134 40% 9% 70 -0.3 .191/.269/.325.133.31814141%9%62-0.4
Chase Strumpf
2022 · AA
24 42→35 44→50 48→45 44 .203/.282/.321 .118.296 117 33% 8% 69 -0.4 .196/.293/.355 .159.317 195 41% 10% 83 +0.6 .180/.284/.345.165.29321342%11%73-0.1
Carlos Narváez
2023 · A
24 36→45 47→50 47→45 43 .185/.270/.313 .127.285 156 38% 9% 63 -0.9 .206/.289/.337 .131.291 157 32% 9% 76 +0.1 .215/.298/.353.138.28816629%9%82+0.3
Maverick Handley
2023 · AA
25 40 45 51→50 44 .199/.282/.323 .124.278 1313 32% 8% 70 -0.3 .204/.293/.301 .097.284 911 29% 9% 69 -0.4 .196/.289/.271.075.27561028%9%57-0.6
Blake Hunt
2023 · AA
24 38 43→50 49→40 38 .190/.248/.301 .111.281 115 35% 6% 49 -1.8 .209/.266/.343 .134.276 145 29% 6% 67 -0.5 .206/.268/.347.141.26215227%6%67-0.3
Vito Friscia
2021 · A
24 43 40→45 49→40 42 .208/.266/.303 .094.290 75 30% 7% 56 -1.3 .211/.293/.327 .116.322 124 35% 10% 75 -0.0 .200/.291/.320.120.30413235%10%71-0.2
Bryan Holaday
2012 · AA
24 42 41→45 48→40 41 .206/.264/.302 .095.280 97 29% 6% 55 -1.4 .216/.266/.302 .086.273 75 22% 5% 56 -1.3 .217/.286/.341.124.25213219%7%71-0.1
Xorge Carrillo
2013 · A
24 42 43→40 50→30 41 .211/.258/.321 .110.276 118 28% 6% 57 -1.2 .240/.292/.325 .085.299 74 21% 5% 72 -0.2 .242/.299/.328.086.2898118%5%74-0.0
Cody Cipriano
2009 · A
24 40→48 45 55→45 45 .200/.270/.330 .131.263 1211 28% 8% 66 -0.6 .219/.288/.332 .113.309 98 30% 8% 73 -0.1 .225/.299/.333.108.3198729%8%76+0.0
Drake Osborn
2023 · A
25 40 43→50 49→40 42 .201/.266/.309 .108.276 116 30% 7% 59 -1.1 .189/.244/.301 .112.256 134 31% 6% 47 -1.9 .179/.231/.285.106.23913231%5%35-1.3
David Sheaffer
2019 · A
24 37 42→55 52→40 39 .188/.235/.290 .102.252 107 29% 5% 40 -2.4 .209/.253/.332 .123.291 135 32% 5% 59 -1.1 .191/.236/.303.112.26912133%5%42-0.7
Jason Lopez
2022 · AA
24 38 42→50 52→45 40 .189/.250/.291 .102.286 1011 36% 7% 46 -2.0 .204/.266/.313 .109.307 119 35% 7% 59 -1.1 .164/.224/.258.094.23510033%7%25-0.6
Tim Tawa
2023 · AA
24 42→43 46→50 49→50 46 .211/.275/.332 .121.266 1412 26% 8% 68 -0.5 .209/.273/.344 .135.272 1611 28% 8% 71 -0.3 .204/.271/.351.147.261181228%8%69-0.3
Willie MacIver
2021 · A
24 37→35 43→45 49→55 37 .190/.236/.299 .109.254 119 30% 4% 43 -2.2 .194/.260/.318 .124.282 1415 35% 7% 59 -1.1 .230/.309/.359.129.323131830%8%87+0.4
Aramis Garcia
2017 · A
24 41 44→50 46→45 41 .208/.260/.318 .110.280 134 30% 6% 58 -1.2 .215/.260/.358 .143.293 172 32% 5% 69 -0.4 .208/.254/.360.153.28720034%5%63-0.6
Andrew Susac
2013 · A
23 42→39 43→50 46→30 45 .207/.280/.320 .113.292 114 31% 8% 67 -0.5 .217/.291/.360 .143.291 163 29% 9% 82 +0.5 .217/.295/.373.156.28219129%9%85+0.3