Miguel UsecheC South Bend Cubs
Age 25 R/R 5'11" / 200 lbs A+ BB +5%HR -4% Svc 0.0 · Ctrl thru 2035 peak 0.5 · 2029
wRC+†63
AVG/OBP/SLG.210 / .276 / .308
PA63
HR1
K%29
BB%7
MLB%0%
BAT: -2.7 runs (wOBA-derived runs vs avg)-3BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +1.8 runs (Replacement-level credit)+2REPTotal WAR: +0.00+0.0WAR
trajectory · 10 yrs
0.5peak
2029

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M+0.5$2M+$1M
2031Arb-3$0.9M+0.3$1M+$0.5M
2032Ext / FA-deal$0.9M+0.1$0.5M-$0.5M
2033Ext / FA-deal$0.2M
2034Ext / FA-deal$0.4M
2035Ext / FA-deal$0.6M
Totals $4M $-1M -$5M
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
202524 A+South Bend Cubs 2723 2000 380 20 .087.192.087.279 .000.125 3011 .136 -38 -4 +0 +0 +0 +1 -0.3
▸ 2026 Season
202625 MLBCHC 6357 12201 5181 10 .211.286.298.584 .088.291 298 .267 63 -3 +0 +0 +1 +2 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202726 MLB 10%CHC 10797 22412 8301 21 .227.292.351.643 .124.293 287 .280 72 -3 +0 +0 +2 +3 0.2
202827 MLB 25%CHC 204184 40714 16572 41 .217.287.332.619 .114.293 288 .283 75 -6 +0 +0 +4 +6 0.4
202928 MLB 37%CHC 273246 541025 22763 41 .220.292.337.629 .118.293 288 .284 75 -8 +0 -1 +5 +8 0.5
203029 MLB 51%CHC 312281 611126 25883 41 .217.288.335.623 .117.292 288 .283 75 -9 +0 -1 +6 +9 0.5
203130 MLB 68%CHC 337304 651226 27963 41 .214.284.326.610 .112.290 288 .280 72 -11 +0 -2 +6 +10 0.3
203231 MLB 86%CHC 330297 641226 27953 20 .215.287.330.617 .114.289 298 .276 69 -11 +0 -3 +6 +9 0.1
203332 MLBCHC 312281 591125 25923 10 .210.282.317.598 .107.288 298 .271 66 -12 +0 -4 +6 +9 -0.1
203433 MLBCHC 281254 52915 22853 00 .205.276.307.583 .102.286 308 .266 62 -12 +0 -4 +5 +8 -0.3
203534 MLBCHC 238215 44814 19742 00 .205.275.307.582 .102.284 318 .260 57 -12 +0 -5 +4 +7 -0.6
▸ Career Totals (MLE all levels + projections)
Career 24842239 475861444 19971924 245 .212.284.322.606 .110.289 298 .274 68 -90 +3 -20 +44 +70 0.8
/ 162G 650586 12623412 521886 61 .215.286.329.615 .114.292 298 .274 68 -24 +1 -5 +12 +18 0.2

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
202524 A+South Bend Cubs 2722 2000 470 20 .091.231.091.322 .000.125 2615 .170 -11 -3 +0 +1 -0.2

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
Miguel Useche (OGILVIE) 25 .210/.276/.308 .098.291 11 29% 7% 63 -0.1
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
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
Sean Jamieson
2014 · A
25 44→46 44→45 51→50 45 .214/.283/.334 .120.278 1012 26% 7% 72 -0.2 .229/.289/.338 .109.309 99 27% 6% 75 -0.0 .230/.289/.325.094.3197728%6%68-0.2
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
Brent Diaz
2021 · A
25 43 42→45 47→45 47 .207/.290/.314 .107.289 109 30% 9% 70 -0.3 .205/.275/.326 .121.305 148 35% 6% 68 -0.5 .179/.249/.295.116.26816738%5%45-0.7
Vito Friscia
2022 · A
25 45 42→45 51→40 44 .212/.289/.319 .107.324 105 35% 9% 71 -0.3 .213/.297/.339 .126.316 134 34% 10% 80 +0.4 .194/.287/.324.130.27914033%11%69-0.2
Jackson Brennan
2008 · A
25 44→42 42→45 47→50 48 .213/.305/.319 .106.285 910 27% 8% 79 +0.3 .210/.298/.299 .089.297 710 29% 9% 70 -0.3 .167/.282/.184.017.2640632%12%32-0.6
Daniel Lyons
2010 · A
25 43→46 40→45 51→50 49 .208/.290/.307 .098.265 715 23% 8% 69 -0.4 .196/.281/.273 .077.269 412 26% 9% 56 -1.3 .173/.270/.224.051.24721127%10%38-1.5
Jake Lemmerman
2014 · AA
25 44→50 42→45 51→45 46 .213/.290/.322 .110.290 1010 28% 8% 72 -0.2 .194/.266/.303 .109.276 109 31% 8% 57 -1.2 .146/.218/.245.099.20610433%8%20-1.6
Matt Scheffler
2023 · AA
25 45 40 51→50 48 .214/.297/.308 .094.299 811 29% 9% 72 -0.2 .203/.288/.278 .075.288 513 29% 9% 60 -1.0 .167/.260/.209.042.24421429%8%30-1.4
Cody Cipriano
2010 · AA
25 44→48 43→45 48→45 46 .214/.288/.333 .118.293 99 28% 8% 74 -0.1 .221/.286/.329 .108.319 99 31% 7% 72 -0.2 .228/.297/.329.100.3297730%7%74-0.0
Ryan Ortiz
2013 · AA
25 42 43→45 48→40 50 .205/.292/.314 .109.274 115 28% 10% 72 -0.2 .199/.287/.296 .097.278 94 29% 10% 65 -0.7 .187/.284/.271.085.2647029%10%54-0.7
Nevin Ashley
2010 · AA
25 45→50 40→45 46→45 45 .213/.288/.306 .093.291 79 28% 8% 67 -0.5 .221/.289/.324 .103.296 96 27% 6% 72 -0.2 .227/.296/.347.120.29212425%7%79+0.1
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
Anthony Prato
2023 · AA
25 48→49 41→45 52→55 46 .224/.306/.329 .104.320 715 30% 9% 80 +0.4 .214/.309/.324 .110.293 917 27% 10% 82 +0.5 .204/.313/.306.103.27382125%11%75+0.0
William Simoneit
2022 · A
25 47 45 50→45 43 .228/.295/.350 .122.319 139 31% 8% 81 +0.4 .210/.287/.330 .120.313 126 34% 8% 73 -0.1 .182/.264/.300.118.28512438%7%54-0.6
Wynston Sawyer
2017 · A
25 46 41→45 46→45 49 .222/.298/.325 .103.278 96 22% 8% 76 +0.1 .222/.294/.330 .108.294 95 26% 7% 76 +0.0 .211/.275/.311.100.2918128%5%59-0.3
Zach Humphreys
2023 · AA
25 45 44→40 49→50 50 .221/.302/.334 .113.296 1212 28% 10% 80 +0.4 .207/.282/.302 .095.286 815 28% 9% 63 -0.8 .187/.263/.265.077.26151628%9%44-0.9
Dan Butler
2012 · AA
25 45→39 43→45 48→40 47 .220/.290/.337 .117.273 104 23% 7% 76 +0.0 .214/.280/.337 .123.263 123 23% 7% 72 -0.2 .214/.284/.310.095.2699022%8%63-0.3
Quincy McAfee
2022 · AA
24 43 43→45 48→45 49 .208/.299/.326 .118.272 1010 26% 9% 78 +0.2 .194/.278/.319 .125.257 148 29% 8% 67 -0.5 .179/.262/.309.130.22716828%7%55-0.8