Dayne LeonardC ACL Reds
Age 26 R/R 5'11" / 190 lbs ROK HR +9%K -4% Svc 0.0 · Ctrl thru 2037 peak 0.1 · 2027
wRC+†57
AVG/OBP/SLG.205 / .269 / .300
PA76
HR1
K%30
BB%7
MLB%0%
BAT: -3.7 runs (wOBA-derived runs vs avg)-4BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.4 runs (Positional adjustment)+1POSREP: +2.2 runs (Replacement-level credit)+2REPTotal WAR: +0.00+0.0WAR
trajectory · 10 yrs
0.2peak
2029

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2032
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$1.0M
2034Ext / FA-deal$1.0M
2035Extbeyond projection horizon · no WAR estimate
2036Extbeyond projection horizon · no WAR estimate
2037Extbeyond projection horizon · no WAR estimate
Totals $3M $-9M -$12M

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
202525 ROK2 teams 6355 13300 7141 00 .236.333.291.624 .055.317 2211 .300 88 -1 +0 +0 +1 +2 0.2
▸ 2026 Season
202626 MLBCIN 7670 14211 5231 10 .200.263.300.563 .100.291 307 .260 57 -4 +0 +0 +1 +2 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202727 MLB 10%CIN 117106 23412 9351 20 .217.284.330.615 .113.291 308 .267 62 -5 +0 +0 +2 +3 0.1
202828 MLB 20%CIN 208188 39713 16612 30 .207.277.303.580 .096.291 298 .270 65 -8 +1 -1 +4 +6 0.1
202929 MLB 33%CIN 264240 51924 20772 30 .212.279.317.595 .104.290 298 .271 65 -10 +1 -1 +5 +7 0.1
203030 MLB 43%CIN 303274 581025 23893 30 .212.280.318.598 .106.289 298 .269 64 -12 +1 -2 +5 +9 0.0
203131 MLB 57%CIN 302273 571025 23903 10 .209.278.315.593 .106.287 308 .265 61 -13 +0 -3 +5 +9 -0.2
203232 MLB 75%CIN 289262 53924 22883 00 .202.272.298.569 .095.286 308 .261 58 -14 +0 -4 +5 +8 -0.4
203333 MLB 92%CIN 261237 47823 20812 00 .198.266.287.553 .089.284 318 .255 54 -14 +0 -4 +5 +7 -0.6
203434 MLBCIN 220199 39713 17702 00 .196.266.286.552 .090.283 328 .249 49 -13 +0 -5 +4 +6 -0.8
▸ Career Totals (MLE all levels + projections)
Career 21031904 394691430 16262820 130 .207.276.305.581 .098.290 308 .264 60 -94 +3 -20 +38 +60 -1.4
/ 162G 650588 1212149 501946 40 .206.274.301.575 .095.289 308 .264 60 -29 +1 -6 +12 +18 -0.4

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
202525 ADaytona Tortugas 1814 3000 420 00 .214.389.214.603 .000.250 1122 .306 92 -0 +0 +1 0.0
202525 ROKACL Reds 4538 15410 681 00 .395.489.5531.042 .158.500 1813 .460 211 +6 +0 +1 0.7

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
Dayne Leonard (OGILVIE) 26 .205/.269/.300 .095.291 11 30% 7% 57 -0.2
JJ Schwarz
2021 · A
25 39 41→45 48→30 44 .192/.259/.283 .091.263 86 29% 8% 49 -1.8 .208/.276/.329 .121.293 143 32% 8% 68 -0.5 .201/.273/.323.122.28015132%9%62-0.5
Mike Salvatore
2023 · A
26 33 42→40 49→45 41 .172/.233/.267 .095.245 106 33% 7% 33 -2.9 .188/.255/.278 .090.259 88 29% 8% 46 -2.0 .175/.250/.252.077.2336726%8%33-1.1
Seaver Whalen
2021 · A
26 41 40→50 48→50 40 .198/.268/.290 .091.265 86 27% 5% 55 -1.4 .206/.275/.334 .128.266 1310 27% 4% 69 -0.4 .174/.249/.322.148.213161026%3%56-0.5
Chris Roller
2023 · AA
26 37 39→45 50→55 40 .183/.248/.270 .087.268 614 32% 6% 40 -2.4 .194/.274/.324 .130.304 1416 38% 9% 67 -0.5 .179/.266/.318.140.290171941%9%60-0.7
Chase Pinder
2022 · AA
26 38 42→45 43→45 44 .190/.273/.285 .095.272 105 32% 8% 56 -1.3 .226/.321/.370 .144.293 1510 26% 11% 98 +1.6 .221/.324/.370.149.286161127%12%97+0.8
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
Andrés Alvarez
2022 · A
25 44→31 42→45 51→50 42 .214/.274/.320 .106.298 1014 30% 7% 64 -0.8 .198/.268/.326 .128.287 1515 34% 8% 64 -0.8 .185/.257/.304.120.263141334%8%51-1.0
Jackson Cluff
2023 · AA
26 36→29 40→45 48→55 36 .179/.243/.270 .091.285 811 38% 6% 39 -2.5 .186/.268/.305 .119.285 1220 36% 9% 59 -1.1 .181/.273/.314.132.266142835%10%61-0.6
Brady Policelli
2021 · A
26 41→39 43→45 51→50 43 .201/.264/.316 .115.271 1014 28% 7% 59 -1.1 .192/.253/.311 .119.273 1213 33% 7% 53 -1.5 .161/.217/.278.117.224131834%6%27-1.7
Jake Washer
2022 · A
26 37 39→60 49→30 35 .179/.233/.257 .078.295 78 40% 6% 30 -3.1 .200/.246/.346 .146.295 196 38% 5% 59 -1.1 .203/.247/.400.197.28032240%5%71-0.1
Tim Roberson
2015 · A
26 40→34 42→45 47→30 36 .200/.237/.300 .100.278 102 32% 4% 43 -2.2 .221/.257/.316 .095.311 83 30% 4% 55 -1.4 .241/.276/.333.091.3358129%4%62-0.4
Chadd Krist
2015 · A
25 40 41→40 44→45 43 .198/.262/.299 .100.269 86 29% 7% 53 -1.5 .191/.246/.291 .100.279 106 33% 6% 45 -2.1 .147/.198/.242.094.21111036%5%8-1.4
Patrick Dorrian
2021 · A
25 42→37 43→55 51→45 41 .206/.260/.322 .117.290 96 31% 6% 59 -1.1 .198/.265/.350 .152.297 186 37% 8% 69 -0.4 .189/.258/.354.165.27522538%8%64-0.5
Nick Vickerson
2014 · A
25 38 43→40 50 47 .190/.271/.298 .108.259 1113 30% 9% 59 -1.1 .198/.292/.298 .100.275 911 29% 10% 68 -0.5 .183/.296/.269.086.25581128%12%59-0.7
Dylan Neuse
2023 · A
24 37 39→40 49→50 44 .183/.260/.264 .081.271 814 33% 9% 45 -2.1 .205/.286/.296 .091.292 713 29% 9% 63 -0.8 .211/.301/.305.094.29351327%10%72-0.1
Skip Adams
2006 · A
26 46→36 43→45 46→45 37 .224/.268/.336 .112.317 910 32% 5% 66 -0.6 .197/.251/.292 .095.292 99 34% 6% 47 -1.9 .182/.242/.274.092.27110935%6%37-2.3
Jorge Saez
2016 · A
25 39 39→45 47→30 45 .190/.259/.276 .087.268 63 30% 8% 47 -1.9 .206/.269/.335 .129.293 154 33% 8% 66 -0.6 .208/.272/.349.141.28920334%7%69-0.1
Liam Spence
2023 · A
25 37 40 48→45 42 .184/.254/.272 .089.273 96 34% 8% 44 -2.1 .197/.271/.286 .089.298 78 33% 9% 55 -1.4 .163/.258/.219.057.2574734%11%30-0.5
Angelo Castellano
2021 · AA
26 38→42 39→45 46→50 41 .189/.242/.273 .083.253 712 28% 6% 38 -2.6 .200/.261/.303 .103.257 1112 26% 7% 55 -1.4 .204/.274/.324.120.246141423%8%62-0.4
Andres Sosa
2023 · A
25 39 42→40 52→45 46 .191/.291/.300 .109.275 99 31% 9% 69 -0.4 .196/.285/.288 .092.287 77 32% 8% 63 -0.9 .183/.273/.260.077.2766433%7%47-0.7