Yidel DiazC ACL Cubs
Age 21 R/R 5'10" / 203 lbs ROK BB +5%HR -4% Svc 0.0 · Ctrl thru 2037 peak 2.0 · 2032
wRC+†58
AVG/OBP/SLG.204 / .270 / .301
PA50
HR1
K%30
BB%7
MLB%0%
BAT: -2.4 runs (wOBA-derived runs vs avg)-2BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +1.4 runs (Replacement-level credit)+1REPTotal WAR: +0.00+0.0WAR
trajectory · 10 yrs
2.0peak
2032

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+2.0$19M+$18M
2033Ext / FA-deal$1.0M+1.9$19M+$18M
2034Ext / FA-deal$1.0M+1.7$17M+$16M
2035Ext / FA-deal$3M+1.5$16M+$13M
2036Ext / FA-deal$4M+1.1$12M+$8M
2037Ext / FA-deal$3M+0.8$4M+$1.0M
Totals $13M $87M +$74M

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
202217 ROKDSL Cubs Red 129117 14211 8603 32 .120.195.179.375 .060.228 476 .171 -11 -16 -0 +0 +2 +4 -1.1
202318 ROKDSL Cubs Red 120103 18402 13382 20 .175.280.272.552 .097.246 3211 .251 50 -7 +0 +0 +2 +3 -0.1
202419 ROKACL Cubs 6964 8200 5370 10 .125.188.156.345 .031.296 547 .161 -19 -9 +0 +0 +1 +2 -0.6
▸ 2026 Season
202621 MLBCHC 5046 10201 4150 10 .217.280.326.606 .109.288 308 .261 58 -2 +0 +0 +1 +1 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%CHC 114103 22412 9331 20 .214.283.330.613 .117.290 298 .281 73 -3 +0 +0 +2 +3 0.2
202823 MLB 28%CHC 248223 50926 21692 41 .224.297.363.660 .139.292 288 .293 82 -5 +0 +0 +4 +7 0.7
202924 MLB 45%CHC 347310 701229 30954 61 .226.302.365.667 .139.293 279 .301 88 -5 +1 +0 +6 +10 1.2
203025 MLB 60%CHC 408365 8415311 361104 71 .230.306.378.684 .148.294 279 .305 92 -4 +1 +0 +7 +12 1.6
203126 MLB 77%CHC 445397 9216313 401205 81 .232.310.385.695 .154.294 279 .308 94 -3 +1 +0 +8 +13 1.9
203227 MLB 92%CHC 464414 9517313 421265 81 .229.308.379.687 .150.294 279 .308 94 -3 +1 +0 +8 +13 2.0
203328 MLBCHC 471420 9617313 431295 71 .229.308.376.684 .148.294 279 .307 93 -4 +1 -1 +8 +13 1.9
203429 MLBCHC 469418 9416313 431295 61 .225.305.371.676 .146.293 289 .305 91 -5 +1 -1 +8 +13 1.7
203530 MLBCHC 463412 9316313 431295 50 .226.307.374.680 .148.292 289 .301 89 -6 +1 -2 +8 +13 1.5
203631 MLBCHC 438391 8615212 401244 30 .220.299.361.659 .141.290 289 .298 86 -7 +1 -3 +8 +12 1.1
203732 MLBCHC 410365 7914210 381184 10 .216.297.348.645 .132.289 299 .293 82 -8 +0 -4 +7 +12 0.8
203833 MLBCHC 370330 711229 341093 00 .215.294.345.640 .130.287 299 .288 78 -9 +0 -4 +7 +10 0.4
203934 MLBCHC 319284 591027 29973 00 .208.288.331.619 .123.285 309 .281 73 -10 +0 -5 +6 +9 0.0
204035 MLBCHC 264236 48816 24832 00 .203.282.322.604 .119.283 319 .274 68 -10 +0 -6 +5 +7 -0.3
204136 MLBCHC 207185 36614 18672 00 .195.273.303.576 .108.280 329 .265 61 -9 +0 -6 +4 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 58055183 112519734145 520168859 649 .217.296.352.648 .135.290 299 .291 81 -124 +9 -31 +104 +164 12.4
/ 162G 650580 12622416 581897 71 .217.296.352.648 .134.291 299 .291 81 -14 +1 -4 +12 +18 1.4

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
202217 ROKDSL Cubs Red 129112 23322 13393 32 .205.305.321.626 .116.292 3010 .287 78 -3 -0 +4 0.0
202318 ROKDSL Cubs Red 12094 23503 22262 20 .245.398.394.792 .149.299 2218 .359 133 +4 +0 +3 0.8
202419 ROKACL Cubs 6961 13300 8250 10 .213.304.262.567 .049.361 3612 .268 63 -3 +0 +2 -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
Yidel Diaz (OGILVIE) 21 .204/.270/.301 .097.288 11 30% 7% 58 -0.1
Tucker Mitchell
2022 · A
21 43 39→50 51→45 39 .202/.262/.293 .090.301 67 33% 6% 52 -1.6 .193/.267/.305 .112.296 138 37% 7% 59 -1.1 .178/.253/.291.113.25315734%7%47-0.8
David Bote
2014 · A
21 40→48 39→55 47→45 47 .191/.269/.278 .087.263 67 28% 9% 52 -1.6 .204/.273/.294 .090.273 66 26% 7% 57 -1.2 .234/.308/.397.164.29819627%8%95+1.0
James McCann
2012 · A
22 41→51 42→50 49→45 39 .203/.260/.306 .103.288 97 32% 6% 55 -1.4 .223/.261/.310 .087.291 66 24% 4% 55 -1.4 .254/.315/.415.161.33120428%7%104+1.1
Bo Naylor
2021 · A
21 41→43 44→55 50 43 .203/.259/.325 .122.273 117 29% 7% 59 -1.1 .199/.278/.352 .153.276 1812 33% 9% 75 -0.0 .216/.308/.399.183.269221228%11%97+1.2
Agustín Ramírez
2023 · A
21 43→45 45→55 50 43 .213/.273/.339 .126.289 1210 30% 7% 69 -0.4 .229/.292/.389 .160.276 1913 24% 8% 90 +1.0 .230/.293/.405.176.264221622%7%92+1.1
Eddys Leonard
2021 · A
20 42→46 40→50 46→45 45 .200/.274/.295 .095.288 79 31% 8% 59 -1.1 .227/.293/.378 .151.302 175 29% 7% 89 +0.9 .224/.290/.376.152.29017428%6%83+0.5
Chun-Hsiu Chen
2010 · A
21 43→53 41→50 48→45 40 .209/.263/.306 .097.302 86 32% 7% 55 -1.4 .250/.309/.388 .138.334 124 27% 7% 96 +1.5 .256/.318/.393.137.34712428%8%99+1.3
Parker Meadows
2021 · A
21 40→47 41→55 46→55 42 .197/.253/.288 .091.267 99 29% 7% 47 -1.9 .203/.263/.335 .132.270 1412 29% 7% 64 -0.8 .225/.292/.400.175.278202126%8%91+1.1
Keon Broxton
2011 · A
21 38→48 41→55 53→60 36 .184/.238/.293 .109.299 710 39% 6% 41 -2.3 .196/.253/.296 .100.314 915 38% 7% 49 -1.8 .225/.301/.390.165.341173836%9%92+1.0
Eguy Rosario
2021 · A
21 43→49 42→55 48→55 39 .213/.259/.322 .109.292 912 30% 5% 58 -1.2 .227/.286/.366 .139.304 1420 28% 7% 82 +0.5 .223/.285/.369.146.292152128%7%80+0.2
Luis Torrens
2016 · A
20 42→49 38→55 49→30 44 .201/.271/.276 .075.277 55 28% 7% 52 -1.6 .207/.270/.291 .084.263 64 22% 7% 55 -1.4 .228/.285/.376.148.28819027%7%82+0.3
Michael Chavis
2017 · A
21 36→46 45→60 46→45 34 .189/.233/.308 .119.271 136 35% 4% 44 -2.1 .224/.274/.401 .177.296 234 32% 5% 86 +0.8 .235/.292/.438.203.30429332%6%100+1.1
Max Stassi
2012 · A
21 40→43 44→55 43→40 41 .198/.260/.309 .111.287 125 34% 7% 56 -1.3 .218/.270/.362 .144.290 174 30% 5% 74 -0.1 .208/.295/.359.151.27120030%10%81+0.2
Daniel Schneemann
2019 · A
22 39→49 40→50 50 43 .189/.254/.283 .094.277 76 33% 8% 46 -2.0 .211/.272/.298 .087.290 78 28% 7% 57 -1.2 .226/.305/.377.151.297151328%10%89+0.7
Chris Nelson
2007 · A
21 41→51 42→50 49→50 37 .204/.244/.308 .104.272 99 28% 4% 48 -1.9 .223/.274/.359 .136.280 1312 24% 6% 75 -0.0 .257/.301/.387.130.31113721%5%87+0.6
Yu Chang
2017 · A
21 41→44 45→50 49→45 39 .206/.256/.333 .127.283 128 31% 6% 60 -1.0 .202/.261/.347 .145.281 168 33% 6% 66 -0.6 .213/.268/.374.161.27120629%6%75-0.0
Javier Valdes
2021 · A
22 40 37→55 50→30 45 .190/.266/.263 .073.266 47 28% 8% 47 -1.9 .209/.291/.323 .114.277 125 27% 8% 74 -0.1 .207/.303/.355.148.25618326%9%85+0.3
Emmanuel Rivera
2017 · A
21 40→50 37→55 49→45 43 .190/.250/.266 .075.266 310 28% 7% 40 -2.4 .234/.273/.341 .107.295 96 23% 4% 68 -0.5 .246/.303/.412.166.29319422%7%97+1.1
Dusty Ryan
2006 · A
21 38→47 40→50 44→40 39 .189/.242/.278 .089.268 86 32% 6% 40 -2.4 .202/.268/.307 .105.307 114 35% 7% 59 -1.1 .208/.285/.361.154.30817336%9%77+0.1
Derek Norris
2009 · A
20 40→50 42→55 49→50 43 .194/.269/.300 .106.295 96 35% 9% 58 -1.2 .209/.301/.372 .163.281 206 31% 11% 91 +1.1 .254/.332/.403.149.31115522%10%106+1.6