Davis DiazC Lansing Lugnuts
Age 23 R/R 5'10" / 188 lbs A+ HR -6%K -4% Svc 0.0 · Ctrl thru 2035 peak 2.1 · 2029
wRC+†101
AVG/OBP/SLG.226 / .302 / .330
PA320
HR5
K%21
BB%8
MLB%0%
BAT: +0.5 runs (wOBA-derived runs vs avg)+1BATRUN: -0.2 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +5.7 runs (Positional adjustment)+6POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: +1.60+1.6WAR
Scouting · nowfuture
HIT
4040
PWR
2525
SPD
4040
EYE
5450
trajectory · 10 yrs
2.2peak
2030

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+2.1$19M+$18M
2031Arb-3$0.9M+2.0$19M+$18M
2032Ext / FA-deal$0.9M+1.8$17M+$16M
2033Ext / FA-deal$3M+1.6$16M+$13M
2034Ext / FA-deal$4M+1.3$13M+$9M
2035Ext / FA-deal$4M+0.9$5M+$0.2M
Totals $14M $88M +$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
202421 AStockton Ports 6855 11300 6127 00 .200.353.255.607 .055.256 189 .267 63 -3 +0 +0 +1 +2 0.0
202522 A+2 teams 432381 711322 39877 84 .186.274.247.521 .060.232 209 .236 39 -30 +0 +0 +8 +12 -1.0
▸ 2026 Season (actual · ROS · total)
202623 A+Lansing Lugnuts 6353 16601 951 00 .302.413.472.884 .170.319 814 .382 150 +4 +0 +0 +1 +2 0.7
ROS23 MLBOAK 257227 541214 24494 31 .238.322.352.674 .115.283 199 .302 89 -3 +0 +0 +5 +7 0.9
TOT23 MLBOAK 320280 701815 33545 31 .250.340.375.715 .125.293 1710 .318 101 +1 +0 +0 +6 +9 1.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%OAK 441391 911927 41876 62 .233.315.345.660 .113.281 209 .301 88 -6 +0 +0 +8 +12 1.5
202825 MLB 25%OAK 473419 1002129 44937 62 .239.321.363.684 .124.283 209 .307 93 -4 +0 +0 +8 +13 1.9
202926 MLB 43%OAK 491434 10321210 47987 62 .237.322.364.686 .127.284 2010 .310 95 -3 +0 +0 +9 +14 2.1
203027 MLB 58%OAK 497439 10421210 481007 62 .237.322.362.684 .125.284 2010 .310 96 -2 +0 +0 +9 +14 2.1
203128 MLB 68%OAK 496438 10321210 481007 61 .235.320.361.681 .126.284 2010 .309 95 -3 +1 -1 +9 +14 2.0
203229 MLB 77%OAK 489431 1012129 481007 51 .234.321.355.676 .121.283 2010 .307 93 -4 +1 -1 +9 +14 1.8
203330 MLB 84%OAK 480423 982029 471007 51 .232.319.352.671 .121.282 2110 .304 91 -5 +1 -2 +9 +14 1.6
203431 MLB 91%OAK 453400 921928 44966 40 .230.316.347.663 .117.280 2110 .300 88 -6 +1 -3 +8 +13 1.3
203532 MLBOAK 422372 841727 41926 30 .226.313.339.651 .113.279 2210 .295 84 -8 +1 -4 +8 +12 0.9
203633 MLBOAK 382337 741516 37865 30 .220.306.323.630 .104.277 2310 .290 80 -9 +1 -4 +7 +11 0.6
203734 MLBOAK 329290 631315 32774 20 .217.304.321.624 .103.275 2310 .284 75 -9 +0 -5 +6 +9 0.2
203835 MLBOAK 274243 511014 26673 20 .210.294.309.603 .099.273 249 .276 70 -9 +0 -6 +5 +8 -0.2
203936 MLBOAK 216191 39812 20553 20 .204.290.288.578 .084.270 259 .268 63 -9 +0 -6 +4 +6 -0.5
▸ Career Totals (MLE all levels + projections)
Career 62005471 123925425102 592129993 6716 .226.313.338.651 .111.277 2110 .295 84 -112 +7 -31 +111 +176 15.3
/ 162G 650574 13127311 6213610 72 .228.314.343.657 .115.279 2110 .295 84 -12 +1 -3 +12 +18 1.6

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
202421 AStockton Ports 6853 12300 897 00 .226.397.283.680 .057.273 1312 .334 114 +1 +0 +2 0.3
202522 A+Lansing Lugnuts 242211 46702 28381 21 .218.312.280.592 .062.254 1612 .276 70 -8 +0 +7 -0.1
202522 AStockton Ports 190152 381030 29286 63 .250.390.355.746 .105.299 1515 .342 120 +4 +0 +5 1.0

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
Davis Diaz (OGILVIE) 23 40 25 40 50 .226/.302/.330 .104.279 55 21% 8% 80 +0.2
Sherman Lacrus
2016 · A
22 47 40→30 45→50 49 .225/.297/.314 .089.263 77 17% 7% 73 -0.1 .204/.258/.288 .084.268 68 25% 6% 49 -1.8 .183/.231/.254.071.2365924%4%26-1.1
Taylor Krick
2011 · A
23 43 39→30 48→40 49 .206/.285/.289 .084.266 77 24% 9% 62 -0.9 .224/.308/.287 .063.307 45 26% 8% 71 -0.3 .233/.323/.283.051.3262226%8%73-0.0
Blake Ochoa
2009 · A
23 44 41→45 40 45 .214/.268/.311 .097.267 85 22% 7% 59 -1.1 .237/.297/.376 .139.286 155 22% 7% 89 +0.9 .250/.315/.422.172.28921221%7%109+0.7
Aaron McKeithan
2023 · A
23 45 40 45→40 44 .215/.290/.307 .093.291 84 28% 7% 69 -0.4 .217/.295/.297 .080.272 84 22% 7% 69 -0.4 .202/.287/.263.061.2448119%7%57-0.4
Alexander Campos
2022 · A
22 43 42→40 46→45 48 .209/.289/.317 .108.281 96 28% 9% 70 -0.3 .221/.304/.311 .090.312 86 29% 9% 75 -0.0 .236/.329/.308.072.3307628%11%83+0.2
Joel Capote
2013 · A
23 51 41→45 45→50 50 .242/.310/.350 .108.290 79 19% 8% 87 +0.8 .213/.273/.291 .078.272 410 22% 6% 56 -1.3 .189/.247/.247.058.24521222%5%30-1.8
Jhonny Pereda
2019 · A
23 47→48 38→45 42→40 46 .226/.278/.298 .072.278 64 21% 6% 59 -1.1 .214/.270/.284 .070.263 54 19% 7% 53 -1.5 .276/.346/.381.105.3659025%9%105+0.9
Chris Denove
2006 · A
23 44 40 47→40 46 .212/.286/.304 .092.282 76 26% 8% 66 -0.6 .200/.260/.271 .071.268 44 25% 7% 46 -2.0 .245/.301/.340.096.2987319%6%79+0.1
Luis Alvarez
2013 · A
23 44 44→45 46→45 42 .220/.276/.333 .113.274 116 24% 5% 69 -0.4 .222/.273/.352 .130.285 146 27% 5% 72 -0.2 .210/.253/.368.158.24921025%3%66-0.1
Roy Morales
2018 · A
23 49 36→30 49→45 49 .231/.294/.298 .066.270 48 16% 6% 66 -0.6 .229/.291/.300 .071.281 410 19% 7% 66 -0.6 .267/.331/.325.058.3194816%7%86+0.3
Steve Tolleson
2007 · A
23 46→53 42→45 45→50 52 .225/.301/.333 .108.270 99 20% 9% 79 +0.3 .242/.311/.344 .102.308 814 22% 9% 85 +0.7 .254/.312/.373.119.302101219%7%90+0.8
Jake Elmore
2010 · A
23 47→57 39→40 46→55 52 .223/.296/.312 .088.270 510 18% 9% 71 -0.3 .245/.314/.321 .076.297 317 17% 9% 81 +0.4 .266/.337/.349.083.31432315%9%95+1.0
J.C. Correa
2022 · A
23 50→53 41→40 43→45 45 .243/.289/.347 .103.289 89 19% 6% 77 +0.1 .235/.279/.332 .097.267 86 15% 5% 69 -0.4 .229/.272/.316.088.2558514%5%60-0.6
Kevin Nolan
2012 · A
24 49→50 40→45 41→50 50 .234/.299/.333 .099.285 68 20% 8% 78 +0.2 .242/.297/.351 .109.290 88 18% 7% 81 +0.4 .244/.292/.348.104.2858817%6%75+0.0
Leo Jiménez
2023 · A
22 47→49 40→45 48→45 51 .222/.330/.318 .096.290 79 24% 9% 90 +1.0 .229/.317/.341 .112.289 107 23% 7% 89 +1.0 .230/.322/.343.112.28911522%7%88+0.5
Brallan Perez
2019 · A
23 52 36→30 42→50 46 .244/.297/.305 .061.298 47 19% 6% 69 -0.4 .219/.277/.276 .057.283 38 22% 6% 53 -1.5 .199/.260/.234.035.2602822%6%32-1.7
José Fermín
2022 · AA
23 47→51 42→45 47→55 48 .229/.286/.326 .098.253 1012 14% 6% 71 -0.3 .216/.296/.328 .112.240 1213 15% 8% 76 +0.1 .241/.336/.380.139.254142611%10%103+0.9
Angelo Amendolare
2016 · AAA
23 47 37→30 45→50 51 .221/.294/.298 .076.266 47 18% 8% 67 -0.5 .230/.303/.298 .068.302 39 23% 8% 71 -0.3 .244/.324/.286.042.32901023%9%72-0.1
Daniel Robertson
2017 · AAA
23 51→54 41→45 43→40 47 .241/.310/.346 .105.303 84 22% 7% 86 +0.8 .236/.324/.349 .113.307 105 25% 9% 94 +1.3 .234/.338/.350.116.30512425%11%96+0.8
Michael Garciaparra
2006 · A
23 52 41→40 45 45 .248/.315/.347 .099.313 810 23% 7% 89 +0.9 .248/.315/.329 .081.317 79 22% 7% 84 +0.6 .253/.319/.323.070.3246822%7%81+0.2