Nomar DiazC San Jose Giants
Age 22 R/R 6'1" / 180 lbs A BB -3% Svc 0.0 · Ctrl thru 2036 peak 1.5 · 2031
wRC+†60
AVG/OBP/SLG.205 / .271 / .307
PA71
HR1
K%31
BB%7
MLB%0%
BAT: -3.2 runs (wOBA-derived runs vs avg)-3BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.3 runs (Positional adjustment)+1POSREP: +2.0 runs (Replacement-level credit)+2REPTotal WAR: +0.00+0.0WAR
trajectory · 10 yrs
1.5peak
2031

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Arb-3$0.9M+1.5$14M+$13M
2032Ext / FA-deal$0.9M+1.4$13M+$12M
2033Ext / FA-deal$1.0M+1.3$13M+$12M
2034Ext / FA-deal$2M+1.1$11M+$9M
2035Ext / FA-deal$2M+0.8$4M+$2M
2036Ext / FA-deal$2M+0.4$2M+$0.2M
Totals $9M $58M +$48M

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
202319 ROKACL Giants Black 5753 8011 3231 00 .151.211.245.456 .094.241 405 .180 -4 -7 +0 +0 +1 +2 -0.4
202420 ROKACL Giants 3226 5201 2123 11 .192.323.385.707 .192.286 386 .276 69 -1 -0 +0 +1 +1 0.0
202521 ASan Jose Giants 5245 4101 7200 00 .089.212.178.389 .089.125 3813 .192 5 -6 +0 +0 +1 +1 -0.3
▸ 2026 Season
202622 MLBSF 7165 12201 5221 10 .185.254.262.515 .077.289 317 .264 60 -3 +0 +0 +1 +2 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%SF 166150 32613 13492 31 .213.285.327.612 .113.291 308 .280 73 -5 +0 +0 +3 +5 0.3
202824 MLB 26%SF 281253 571027 23803 41 .225.297.364.661 .138.292 288 .291 81 -6 +0 +0 +5 +8 0.7
202925 MLB 43%SF 353317 701229 29994 61 .221.294.356.651 .136.294 288 .297 86 -6 +1 +0 +6 +10 1.2
203026 MLB 58%SF 400359 8214311 341124 61 .228.302.376.678 .148.294 288 .301 88 -5 +1 +0 +7 +11 1.4
203127 MLB 76%SF 423380 8615311 361184 71 .226.300.368.668 .142.294 289 .301 89 -5 +1 +0 +8 +12 1.5
203228 MLB 84%SF 434389 8815312 381224 61 .226.302.373.674 .147.294 289 .300 88 -6 +1 -1 +8 +12 1.4
203329 MLB 90%SF 433388 8615311 381234 51 .222.298.361.658 .139.293 289 .298 86 -7 +1 -1 +8 +12 1.3
203430 MLBSF 429384 8515311 381244 40 .221.298.362.660 .141.292 299 .295 84 -8 +1 -2 +8 +12 1.1
203531 MLBSF 405363 7914210 351184 20 .218.294.350.643 .132.290 299 .291 81 -9 +0 -3 +7 +11 0.8
203632 MLBSF 378338 721229 331134 00 .213.291.340.631 .127.289 309 .286 77 -10 +0 -4 +7 +11 0.4
203733 MLBSF 340305 651128 291043 00 .213.288.341.629 .128.287 319 .281 73 -10 +0 -4 +6 +10 0.1
203834 MLBSF 290260 54926 25913 00 .208.285.327.612 .119.286 319 .274 68 -10 +0 -5 +5 +8 -0.2
203935 MLBSF 236212 42715 20762 00 .198.274.311.585 .113.283 328 .267 62 -10 +0 -6 +4 +7 -0.5
▸ Career Totals (MLE all levels + projections)
Career 47804287 92716030117 408140650 458 .216.292.349.641 .133.291 299 .288 79 -114 +6 -25 +85 +135 8.9
/ 162G 650583 12622416 551917 61 .216.291.350.641 .134.290 298 .288 79 -16 +1 -3 +12 +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
202319 ROKACL Giants Black 5751 11011 5161 00 .216.298.314.612 .098.294 289 .282 74 -2 +0 +2 -0.0
202420 ROKACL Giants 3224 6201 483 11 .250.419.458.878 .208.312 2512 .386 154 +2 -0 +1 0.3
202521 ASan Jose Giants 5242 6102 10140 00 .143.308.310.617 .167.154 2719 .291 81 -1 +0 +1 0.0

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
Nomar Diaz (OGILVIE) 22 .205/.271/.307 .102.289 11 31% 7% 60 -0.1
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
Blaze Alexander
2021 · A
22 45→48 42→50 51→50 43 .218/.284/.328 .110.300 911 29% 7% 71 -0.3 .204/.275/.332 .128.317 1412 38% 7% 69 -0.4 .220/.308/.345.126.328131034%8%84+0.4
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
Jake Rogers
2018 · A
23 41→40 44→55 47→45 42 .205/.269/.327 .122.280 1110 30% 7% 65 -0.7 .196/.267/.342 .146.271 177 33% 8% 69 -0.4 .206/.283/.412.206.26529133%8%91+0.6
Corey Joyce
2021 · A
22 44 40→45 50 40 .212/.268/.307 .095.307 88 32% 6% 58 -1.2 .203/.290/.313 .110.295 1112 32% 9% 70 -0.3 .212/.315/.318.105.30191429%10%80+0.2
John Hester
2007 · A
23 42 43→55 50 41 .206/.271/.327 .122.299 107 33% 7% 65 -0.7 .224/.267/.365 .141.298 147 29% 5% 72 -0.2 .249/.292/.416.167.322151027%5%94+0.7
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
Tucker Mitchell
2023 · A
22 38 43→50 51→45 35 .183/.259/.287 .104.311 1111 42% 6% 51 -1.7 .198/.263/.310 .112.287 137 34% 6% 58 -1.2 .185/.242/.280.095.26113533%5%38-1.0
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
Aaron McKeithan
2022 · A
22 41 39→40 49→40 40 .198/.263/.282 .084.277 67 29% 6% 50 -1.7 .218/.296/.304 .086.283 84 24% 7% 70 -0.3 .219/.302/.289.070.2807122%7%69-0.2
Jack Brannigan
2023 · A
22 43 43→50 48→50 43 .207/.283/.317 .110.309 1113 34% 8% 68 -0.5 .202/.282/.359 .157.299 1917 37% 8% 79 +0.3 .185/.268/.344.160.263201836%8%67-0.3
Jonathan India
2019 · A
22 43→51 45→50 51→50 45 .208/.290/.333 .125.296 1210 32% 8% 76 +0.0 .217/.304/.340 .123.297 1210 29% 9% 83 +0.6 .243/.342/.393.150.294171122%10%107+1.9
P.J. Higgins
2016 · A
23 44→54 41→45 54→40 42 .215/.265/.321 .106.286 88 27% 6% 59 -1.1 .230/.300/.300 .070.287 34 19% 8% 69 -0.4 .241/.304/.366.126.30713324%8%87+0.5
Ramon Santana
2008 · A
22 44→53 44→45 49→45 46 .214/.295/.332 .118.288 117 28% 8% 77 +0.1 .215/.282/.328 .113.315 108 33% 6% 70 -0.3 .212/.276/.321.109.3188433%6%62-0.4
Tyler Stephenson
2019 · A
22 43→53 42→50 46→30 44 .212/.280/.315 .103.285 103 28% 8% 66 -0.6 .232/.305/.347 .115.297 113 24% 8% 85 +0.7 .253/.327/.399.146.32316125%9%102+1.3
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
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
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
Jhoneiker Betancourt
2023 · A
23 43 40→50 50→40 43 .207/.281/.298 .092.283 76 28% 7% 63 -0.9 .204/.276/.336 .132.276 163 31% 7% 70 -0.3 .179/.260/.330.151.23422033%7%67-0.2
Eduardo Valencia
2023 · A
23 44→54 42→50 49→30 45 .215/.282/.315 .100.276 105 25% 7% 67 -0.5 .222/.280/.345 .123.283 144 26% 7% 73 -0.1 .250/.305/.416.166.30422025%6%100+1.0