Miguel UguetoRF Springfield Cardinals
Age 23 R/R 6'0" / 185 lbs AA HR -7%K -4% Svc 0.0 · Ctrl thru 2034
wRC+†73
AVG/OBP/SLG.220 / .254 / .323
PA280
HR4
SB21
K%24
BB%3
MLB%2%
BAT: -8.5 runs (wOBA-derived runs vs avg)-8BATRUN: +3.5 runs (SB/CS + UBR baserunning)+3RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -3.0 runs (Positional adjustment)-3POSREP: +7.9 runs (Replacement-level credit)+8REPTotal WAR: -0.00-0.0WAR
Scouting · nowfuture
HIT
5555
PWR
3030
SPD
5555
EYE
3220
trajectory · 10 yrs
0.0peak
2029

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Arb-1$0.8M
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Ext / FA-deal$0.2M
2033Ext / FA-deal$0.4M
2034Ext / FA-deal$0.6M
Totals $0.8M $-6M -$7M
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
202118 ROKFCL Red Sox 135130 30822 4381 71 .231.259.369.628 .138.311 283 .264 60 -6 +1 +0 -1 +4 -0.3
202219 ASalem Red Sox 9791 25610 3250 31 .275.298.363.661 .088.362 263 .274 68 -4 +0 +0 -1 +3 -0.2
202320 A+Greenville Drive 205197 34712 5661 123 .173.197.249.446 .076.244 322 .188 2 -23 +1 +0 -2 +6 -1.8
202421 A+Greenville Drive 249235 44933 6682 74 .187.214.289.503 .102.241 272 .220 27 -21 -0 +0 -3 +7 -1.7
202522 AA4 teams 313297 721322 6565 159 .242.269.320.589 .077.287 182 .255 53 -17 -1 +0 -3 +9 -1.2
▸ 2026 Season (actual · ROS · total)
202623 AASpringfield Cardinals 5751 14401 3133 110 .275.351.412.763 .137.351 235 .330 111 +1 +2 +0 -1 +2 0.4
ROS23 MLBSTL 223210 471013 8543 102 .224.262.324.586 .100.288 244 .268 64 -9 +1 +0 -2 +6 -0.4
TOT23 MLBSTL 280261 611414 11676 212 .234.281.341.622 .107.298 244 .281 73 -8 +3 +0 -3 +8 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 11%STL 340317 741526 15745 143 .233.279.350.629 .117.285 224 .281 73 -10 +2 +0 -4 +10 -0.3
202825 MLB 26%STL 392365 871828 19855 143 .238.285.364.650 .126.286 225 .288 78 -10 +2 +0 -4 +11 -0.1
202926 MLB 44%STL 424392 931929 23926 143 .237.290.365.655 .128.287 225 .291 81 -9 +2 +0 -5 +12 -0.0
203027 MLB 59%STL 436403 951929 24956 132 .236.289.360.648 .124.287 226 .292 82 -9 +2 +0 -5 +12 0.0
203128 MLB 69%STL 441407 961929 25976 122 .236.290.359.649 .123.287 226 .291 81 -9 +2 -1 -5 +12 -0.1
203229 MLB 77%STL 436402 951929 25976 101 .236.291.361.652 .124.286 226 .289 79 -10 +2 -1 -5 +12 -0.2
203330 MLB 85%STL 429397 921928 24975 91 .232.284.350.634 .118.285 236 .286 77 -11 +1 -2 -5 +12 -0.4
203431 MLB 91%STL 417385 891828 24965 80 .231.285.351.636 .119.284 236 .283 74 -12 +2 -3 -4 +12 -0.6
203532 MLBSTL 399369 841727 22945 60 .228.280.341.622 .114.283 246 .278 71 -13 +1 -4 -4 +11 -0.9
203633 MLBSTL 370342 761526 21904 50 .222.275.330.606 .108.282 246 .273 67 -14 +1 -4 -4 +10 -1.1
203734 MLBSTL 326301 671325 18824 50 .223.276.329.604 .106.281 256 .267 62 -14 +1 -5 -3 +9 -1.2
▸ Career Totals (MLE all levels + projections)
Career 56325240 12002443296 272130669 16435 .229.276.343.619 .114.285 235 .275 69 -200 +19 -20 -60 +160 -10.4
/ 162G 650605 13928411 311518 194 .230.276.344.620 .114.286 235 .275 69 -23 +2 -2 -7 +18 -1.2

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
202118 ROKFCL Red Sox 135127 421522 7261 71 .331.370.528.898 .197.404 195 .393 159 +9 +1 +4 1.4
202219 ASalem Red Sox 9790 28710 4170 31 .311.340.411.752 .100.368 184 .325 107 +1 +0 +3 0.4
202320 A+Greenville Drive 205194 42912 8501 123 .216.251.304.555 .088.278 244 .248 48 -12 +1 +6 -0.5
202421 A+Greenville Drive 249231 561334 10502 74 .242.280.377.656 .134.284 204 .285 76 -7 -0 +7 0.0
202522 AASpringfield Cardinals 199189 48812 6251 95 .254.281.339.619 .085.279 133 .274 68 -7 -0 +6 -0.2
202522 A+Peoria Chiefs 2018 5100 022 01 .278.350.333.683 .056.312 100 .319 102 +0 -0 +1 0.0
202522 APalm Beach Cardinals 2625 6200 160 20 .240.269.320.589 .080.316 234 .265 61 -1 +0 +1 -0.0
202522 INTLGlendale Desert Dogs 6860 21301 4132 43 .350.409.450.859 .100.417 196 .376 146 +4 -0 +2 0.5

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 Ugueto (OGILVIE) 23 55 30 55 20 .220/.254/.323 .102.281 47 24% 3% 56 -0.6
Ramon R Ramirez
2014 · AAA
23 51→57 42→45 51→50 39 .250/.279/.354 .104.305 914 22% 3% 74 -0.1 .232/.267/.327 .095.305 812 26% 4% 62 -0.9 .234/.271/.336.102.3079826%4%63-0.4
Francisco Lugo
2015 · AAA
23 41→51 40 52→45 40 .202/.228/.297 .095.236 811 19% 3% 37 -2.6 .250/.279/.321 .071.296 69 17% 3% 65 -0.7 .278/.307/.343.066.3246916%3%78+0.1
Austin Wates
2012 · A
23 52→57 39→40 54→55 44 .246/.297/.335 .089.303 616 21% 6% 76 +0.1 .254/.308/.346 .092.319 622 21% 6% 85 +0.7 .263/.321/.349.086.33053320%6%87+0.5
Jeff Kobernus
2011 · A
23 48→58 36→40 48→65 39 .227/.260/.296 .069.288 417 22% 4% 50 -1.7 .248/.277/.321 .073.317 535 22% 4% 64 -0.8 .268/.312/.330.062.33434820%5%79+0.2
Charlie Culberson
2012 · AA
23 45→52 41→45 50 36 .219/.252/.317 .098.287 912 27% 3% 53 -1.5 .220/.251/.334 .114.287 1114 27% 3% 57 -1.2 .255/.307/.429.174.32418926%6%100+0.7
Noel Cuevas
2015 · AA
23 45→50 42→45 54→55 40 .219/.262/.326 .107.279 917 25% 5% 60 -1.0 .233/.267/.328 .095.304 718 25% 4% 62 -0.9 .249/.283/.353.103.31081222%3%72-0.1
Jacob Young
2022 · A
23 43→53 38→40 57→60 43 .206/.257/.288 .083.264 520 24% 6% 48 -1.9 .238/.299/.313 .075.302 431 21% 6% 72 -0.2 .248/.310/.323.074.31133620%6%76+0.1
Paulo Orlando
2009 · A
23 43→53 42→45 54→55 34 .214/.247/.323 .109.296 918 31% 3% 53 -1.5 .226/.264/.331 .105.294 819 25% 3% 62 -0.9 .255/.286/.368.112.31791422%3%78+0.2
Tyler Freeman
2022 · AA
23 53→56 39→40 51→55 43 .251/.300/.347 .096.288 511 15% 4% 82 +0.5 .253/.325/.350 .097.286 914 14% 6% 94 +1.3 .245/.329/.340.095.274101814%6%90+0.7
Franklin Rollin
2019 · AAA
23 44 40→45 52→55 41 .213/.256/.310 .096.262 819 22% 4% 53 -1.5 .197/.247/.280 .083.262 713 27% 5% 42 -2.3 .145/.193/.183.039.20431330%4%-9-1.4
Eliezer Ortiz
2010 · AAA
23 46→55 40 46→55 38 .223/.256/.313 .090.268 817 20% 3% 54 -1.4 .232/.280/.333 .101.298 923 24% 4% 70 -0.3 .259/.294/.356.097.34771826%2%78+0.1
Nick Allen
2022 · AAA
23 46→56 42→40 49→50 42 .226/.274/.332 .106.290 914 25% 6% 66 -0.6 .230/.285/.322 .092.279 815 20% 7% 69 -0.4 .243/.303/.319.076.29161617%7%74-0.0
Javon Moran
2006 · AA
23 54→56 37→40 50→55 41 .256/.299/.331 .075.331 520 24% 5% 76 +0.1 .263/.306/.337 .074.325 324 19% 5% 80 +0.4 .264/.311/.334.071.32422718%5%79+0.2
Sean Godfrey
2016 · AA
24 48→46 40→45 50→55 37 .231/.258/.328 .096.291 715 23% 3% 58 -1.2 .223/.258/.325 .102.296 812 27% 4% 57 -1.2 .213/.237/.330.117.2968830%3%45-0.4
Juan Lagares
2012 · AA
23 54→64 41→45 54→50 38 .261/.285/.368 .107.323 815 22% 3% 79 +0.3 .261/.297/.367 .106.330 614 22% 4% 85 +0.7 .271/.312/.374.103.32871319%4%89+0.6
Darin Mastroianni
2009 · A
23 43→53 38→40 59→60 42 .205/.259/.283 .078.276 521 27% 6% 48 -1.9 .248/.313/.322 .074.318 335 21% 8% 80 +0.4 .258/.326/.333.075.32423819%9%85+0.6
Ryan Vilade
2022 · AAA
23 46→49 40→50 51→50 44 .220/.271/.318 .098.280 713 24% 6% 62 -0.9 .218/.280/.312 .094.288 812 25% 7% 64 -0.8 .223/.288/.359.136.294141328%7%78+0.2
Francisco Martinez
2014 · AA
23 47→49 38→40 51→55 39 .222/.262/.298 .076.304 517 28% 5% 52 -1.6 .214/.247/.294 .080.295 619 28% 4% 44 -2.1 .211/.236/.294.083.28562028%3%36-1.9
Nick Liles
2010 · A
23 47→57 36→30 55→50 42 .219/.257/.286 .067.264 215 18% 4% 46 -2.0 .251/.284/.313 .062.298 113 15% 4% 65 -0.7 .260/.295/.317.057.30911215%4%68-0.3
Blake Rambusch
2023 · A
23 47 37→30 52→60 42 .219/.287/.296 .076.318 413 30% 7% 63 -0.8 .226/.311/.291 .065.315 328 26% 9% 72 -0.2 .233/.319/.287.055.31123723%9%71-0.1