Yimmy DiazSS FCL Tigers
Age 22 S/R 5'10" / 155 lbs ROK HR +5%H +3% Svc 0.0 · Ctrl thru 2037 peak 1.3 · 2031
wRC+†61
AVG/OBP/SLG.206 / .275 / .303
PA64
HR1
K%29
BB%7
MLB%0%
BAT: -2.8 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.7 runs (Positional adjustment)+1POSREP: +1.8 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
1.3peak
2031

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
2032Pre-Arb$0.9M+1.2$11M+$11M
2033Pre-Arb$1.0M+1.0$10M+$9M
2034Pre-Arb$1.0M+0.9$5M+$4M
2035Arb-1$1M+0.6$3M+$2M
2036Arb-2$1M+0.3$2M+$0.6M
2037Arb-3$7M
Totals $5M $31M +$26M

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
202218 ROKDSL Tigers 1 194173 33412 16444 76 .191.275.260.535 .069.242 238 .245 46 -12 -1 +0 +2 +5 -0.5
202319 ROKFCL Tigers 139119 17101 15414 71 .143.261.176.437 .034.205 2911 .212 20 -12 +1 +0 +1 +4 -0.6
202420 ROKFCL Tigers 119100 13301 8399 01 .130.256.190.446 .060.194 337 .193 6 -13 -0 +0 +1 +3 -0.9
▸ 2026 Season
202622 MLBDET 6458 12201 5191 10 .207.281.293.574 .086.285 308 .265 61 -3 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%DET 11099 22412 9311 20 .222.294.343.637 .121.288 288 .282 74 -3 +0 +0 +1 +3 0.1
202824 MLB 26%DET 240215 48916 20653 41 .223.298.358.656 .135.289 278 .293 82 -5 +0 +0 +3 +7 0.5
202925 MLB 43%DET 326291 661228 28874 51 .227.303.364.668 .137.291 279 .300 88 -5 +1 +0 +3 +9 0.9
203026 MLB 58%DET 383342 7814210 331025 61 .228.305.368.674 .140.292 279 .303 90 -4 +1 +0 +4 +11 1.2
203127 MLB 76%DET 413369 8415211 361105 61 .228.305.369.673 .141.292 279 .304 90 -4 +1 +0 +4 +12 1.3
203228 MLB 84%DET 429383 8615311 381155 61 .225.303.366.668 .141.291 279 .302 90 -5 +1 -1 +5 +12 1.2
203329 MLB 90%DET 431385 8515211 381175 51 .221.299.356.655 .135.290 279 .300 88 -6 +1 -1 +5 +12 1.0
203430 MLBDET 429383 8515211 381185 40 .222.300.358.658 .136.289 289 .297 86 -7 +1 -2 +5 +12 0.9
203531 MLBDET 420375 8215210 371175 20 .219.297.349.647 .131.288 289 .293 83 -8 +0 -3 +4 +12 0.6
203632 MLBDET 405361 781429 361155 00 .216.296.341.637 .125.286 289 .289 79 -10 +0 -4 +4 +11 0.3
203733 MLBDET 377337 711228 331104 00 .211.289.329.618 .119.284 299 .283 75 -11 +0 -4 +4 +11 -0.0
203834 MLBDET 334298 621127 291004 00 .208.287.329.616 .121.283 309 .277 70 -11 +0 -5 +4 +9 -0.3
▸ Career Totals (MLE all levels + projections)
Career 48134288 92216124109 419133069 5514 .215.295.340.635 .125.283 289 .288 78 -119 +5 -20 +52 +136 5.6
/ 162G 650579 12522315 571809 72 .216.296.342.638 .126.284 289 .288 78 -16 +1 -3 +7 +18 0.7

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
202218 ROKDSL Tigers 1 194162 44613 27304 76 .272.389.377.765 .105.315 1514 .351 127 +6 -1 +5 1.1
202319 ROKFCL Tigers 139110 21201 24274 71 .191.355.236.591 .045.241 1917 .292 82 -3 +1 +4 0.2
202420 ROKFCL Tigers 11995 16401 13279 01 .168.325.242.567 .074.217 2311 .276 69 -4 -0 +3 -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
Yimmy Diaz (OGILVIE) 22 .206/.275/.303 .097.285 11 29% 7% 61 -0.1
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
Skye Bolt
2017 · A
23 41→39 40→50 47→50 42 .198/.260/.294 .095.271 79 28% 6% 52 -1.6 .200/.260/.327 .127.289 1210 33% 7% 60 -1.0 .234/.302/.369.135.310151228%8%86+0.3
Ashton McGee
2021 · A
22 41 39→50 50→40 41 .194/.258/.283 .089.288 55 33% 7% 48 -1.9 .206/.290/.322 .116.364 113 42% 10% 72 -0.2 .191/.284/.307.117.34612244%11%63-0.4
Adrian Del Castillo
2023 · A
23 36→45 43→55 52→40 41 .184/.246/.294 .110.257 107 32% 7% 46 -2.0 .210/.280/.351 .141.289 154 31% 8% 76 +0.0 .218/.292/.382.164.29319131%9%86+0.5
Parker Meadows
2022 · A
22 37→47 41→55 44→55 41 .185/.244/.280 .095.257 99 31% 7% 41 -2.3 .218/.280/.374 .156.279 1716 27% 7% 82 +0.5 .225/.292/.400.175.278202126%8%91+1.1
Niko Goodrum
2013 · A
21 40→50 39→55 51→55 41 .191/.252/.280 .089.282 58 33% 7% 44 -2.1 .212/.279/.299 .087.310 516 30% 8% 61 -1.0 .231/.306/.406.174.310181630%9%97+1.0
Leo Rivas
2021 · A
23 39→49 39→40 48→65 46 .188/.266/.276 .088.284 78 34% 9% 50 -1.7 .215/.292/.302 .087.300 721 28% 9% 67 -0.5 .238/.354/.331.093.32094425%14%100+1.2
Blake Perkins
2018 · A
21 42→52 40→50 51→55 43 .206/.261/.296 .090.274 814 27% 6% 52 -1.6 .202/.269/.286 .084.291 717 30% 8% 53 -1.5 .228/.311/.359.130.302132527%10%87+0.5
Max Moroff
2015 · A
22 42→52 38→50 45→50 43 .201/.262/.284 .084.290 511 31% 7% 50 -1.8 .226/.294/.331 .105.313 811 28% 9% 76 +0.0 .230/.309/.353.123.307121027%10%85+0.6
Jonah Heim
2017 · A
22 38→48 39→55 49→40 43 .190/.240/.275 .085.238 74 23% 6% 37 -2.6 .211/.260/.310 .099.267 93 24% 6% 56 -1.3 .227/.289/.387.160.25619319%8%85+0.5
John Tolisano
2011 · A
22 40→47 42→50 45→50 45 .197/.260/.306 .109.267 106 29% 8% 55 -1.4 .209/.271/.341 .132.277 1310 28% 8% 69 -0.4 .207/.270/.344.137.265141226%8%65-0.4
BJ Murray
2022 · A
22 45→43 42→50 52→50 38 .216/.265/.323 .106.316 98 33% 6% 60 -1.0 .223/.303/.347 .124.308 1210 29% 10% 84 +0.6 .200/.286/.344.144.257171528%10%74-0.1
Cooper Hummel
2017 · A
22 40→49 38→50 52→55 50 .191/.279/.272 .081.268 58 28% 10% 55 -1.4 .200/.290/.310 .110.279 105 29% 10% 69 -0.4 .217/.330/.365.148.295131928%12%98+1.1
Hutton Moyer
2016 · A
23 40→42 42→50 50 37 .197/.254/.306 .109.276 97 31% 5% 53 -1.5 .206/.255/.336 .130.302 1412 35% 5% 61 -1.0 .195/.243/.331.136.288161537%4%51-0.7
Karexon Sanchez
2010 · A
22 40→47 43→45 49→50 39 .201/.260/.314 .113.285 1112 32% 6% 57 -1.2 .212/.283/.322 .110.300 1011 31% 7% 69 -0.4 .218/.295/.324.106.304101130%8%71-0.2
Jon Del Campo
2010 · A
22 42 37→45 49→55 40 .200/.239/.280 .080.266 45 26% 5% 37 -2.6 .217/.249/.311 .094.285 79 25% 4% 50 -1.7 .267/.300/.379.112.337121824%3%90+0.6
C.J. Beatty
2010 · A
21 41 41→50 51→40 41 .201/.256/.299 .098.284 99 31% 7% 51 -1.7 .211/.273/.328 .117.294 105 29% 8% 66 -0.6 .207/.273/.340.134.28111229%8%65-0.4
Jose R. Flores
2010 · A
22 41→49 40 50→45 43 .200/.256/.288 .088.266 79 27% 7% 48 -1.9 .243/.288/.333 .090.291 78 18% 6% 72 -0.2 .240/.286/.320.080.2876718%5%65-0.5
Eric Fryer
2008 · A
22 39→49 40→45 45→50 42 .195/.249/.284 .089.258 77 27% 6% 44 -2.1 .241/.298/.354 .113.308 910 24% 6% 82 +0.5 .247/.311/.365.118.317101123%7%87+0.6
Jose Sermo
2013 · A
22 44→36 41→55 48→50 37 .214/.258/.311 .097.299 88 30% 5% 54 -1.4 .201/.245/.293 .092.308 89 35% 5% 44 -2.1 .197/.240/.319.122.300131338%5%47-0.6