Yusniel DíazCF Sacramento River Cats
Age 29 R/R 6'0" / 215 lbs AAA BB -3% Svc 0.0 · Ctrl thru 2033 peak 0.5 · 2026
wRC+†95
AVG/OBP/SLG.230 / .307 / .380
PA170
HR5
K%24
BB%10
MLB%10%
BAT: -1.0 runs (wOBA-derived runs vs avg)-1BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.6 runs (Positional adjustment)+1POSREP: +4.8 runs (Replacement-level credit)+5REPTotal WAR: +0.50+0.5WAR
trajectory · 10 yrs
0.6peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2028
Service   0 yrs (est)
Team Control Through   2033
First FA Year   2034
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2028
2027MiLBstill in minors · estimated debut 2028
2028Pre-Arb$0.8M+0.3$1M+$0.4M
2029Arb-1$0.8M+0.1$0.4M+$0.0M (cut)
2030Arb-2$0.9M
2031Arb-3$0.2M
2032Extbeyond projection horizon · no WAR estimate
2033Extbeyond projection horizon · no WAR estimate
Totals $-0.6M $-0.1M +$0.4M

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
201619 A+Rancho Cucamonga Quakes 348326 71747 19971 78 .218.263.328.591 .110.286 285 .260 57 -17 -2 +0 +1 +10 -0.8
201720 A+3 teams 565522 12220210 341581 1117 .234.282.337.619 .103.310 286 .273 67 -21 -5 +0 +2 +16 -0.8
201821 AABowie Baysox 416372 931369 41893 1213 .250.329.390.719 .140.307 2110 .316 100 -0 -3 +0 +1 +12 1.1
201922 AA3 teams 408376 8018411 281191 43 .213.269.370.639 .157.277 297 .274 68 -15 -0 +0 +1 +12 -0.2
202124 AAA3 teams 287269 35614 141153 22 .130.182.204.386 .074.205 405 .179 -5 -34 -0 +0 +1 +8 -2.6
202225 AAA2 teams 304275 62806 25831 94 .225.292.320.612 .095.296 278 .276 69 -11 +0 +0 -3 +9 -0.5
202326 AATulsa Drillers 406360 8619113 41980 74 .239.317.406.722 .167.287 2410 .317 101 +0 -0 +0 +1 +12 1.3
202427 AAASacramento River Cats 6756 8102 10170 40 .143.273.268.541 .125.158 2515 .266 62 -3 +1 +0 +0 +2 0.0
▸ 2026 Season
202629 MLBSF 170151 36715 16421 31 .238.315.397.713 .159.284 259 .309 95 -1 +0 +0 +1 +5 0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202730 MLB 20%SF 243217 501017 23601 41 .230.307.382.690 .152.284 259 .308 94 -2 +0 -2 +1 +7 0.4
202831 MLB 33%SF 245219 501017 23611 31 .228.305.379.684 .151.283 259 .305 92 -2 +0 -3 +1 +7 0.3
202932 MLB 43%SF 236211 47916 22601 20 .223.299.360.659 .137.282 259 .301 89 -3 +0 -4 +1 +7 0.1
203033 MLB 52%SF 213190 42815 20551 10 .221.299.353.651 .132.281 269 .296 85 -4 +0 -4 +1 +6 -0.1
203134 MLB 64%SF 175156 34614 16471 00 .218.295.346.641 .128.279 279 .290 80 -4 +0 -5 +1 +5 -0.3
▸ Career Totals (MLE all levels + projections)
Career 40833700 8161422496 332110116 6954 .221.288.350.637 .129.284 278 .283 75 -115 -8 -17 +10 +116 -1.5
/ 162G 650589 13023415 531753 119 .221.288.350.638 .129.285 278 .283 75 -18 -1 -3 +2 +18 -0.3

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
201619 A+Rancho Cucamonga Quakes 348316 86878 29711 78 .272.335.418.753 .146.326 208 .334 114 +5 -2 +10 1.4
201720 AATulsa Drillers 118108 36803 10290 25 .333.390.491.881 .157.434 258 .391 157 +8 -2 +3 1.0
201720 A+Rancho Cucamonga Quakes 374331 921538 35731 79 .278.349.414.763 .136.328 209 .336 115 +6 -2 +11 1.5
201720 INTLGlendale Desert Dogs 7366 20211 690 23 .303.361.409.770 .106.333 128 .341 120 +2 -1 +2 0.3
201821 AABowie Baysox 416354 10115511 59673 1213 .285.392.449.841 .164.326 1614 .377 147 +22 -3 +12 3.2
201922 AABowie Baysox 322286 7519411 32671 03 .262.339.472.811 .210.303 2110 .354 129 +11 -1 +9 1.9
201922 A+Frederick Keys 2522 6000 370 00 .273.360.273.633 .000.400 2812 .301 88 -0 +0 +1 0.0
201922 INTLLeones del Escogido 6152 9100 9100 40 .173.295.192.487 .019.214 1615 .243 44 -4 +1 +2 -0.1
202124 AAANorfolk Tides 209191 30414 15692 12 .157.226.251.477 .094.218 337 .220 27 -17 -1 +6 -1.2
202124 AABowie Baysox 4439 7301 4131 10 .179.273.333.606 .154.240 309 .277 70 -1 +0 +1 -0.0
202124 INTLMesa Solar Sox 3427 6301 7100 00 .222.382.444.827 .222.312 2921 .371 142 +2 +0 +1 0.3
202225 AAANorfolk Tides 286247 62906 36661 94 .251.349.360.709 .109.316 2313 .323 105 +2 +0 +8 1.0
202225 A+Aberdeen IronBirds 1814 4101 340 00 .286.412.571.983 .286.300 2217 .404 167 +1 +0 +1 0.2
202326 AATulsa Drillers 406345 9621116 56780 74 .278.379.484.863 .206.312 1914 .378 147 +22 -0 +12 3.4
202427 AAASacramento River Cats 6751 9103 15140 40 .176.364.373.736 .196.171 2122 .336 115 +1 +1 +2 0.4

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
Yusniel Díaz (OGILVIE) 29 .230/.307/.380 .150.284 53 24% 10% 95 +0.4
John Mayberry Jr.
2013 · MLB
29 47→48 51→55 49→50 45 .244/.296/.406 .163.285 2010 22% 6% 96 +1.5 .225/.289/.388 .163.270 186 23% 8% 89 +0.9 .203/.272/.360.158.24317524%8%72-0.1
Pedro Severino
2022 · MLB
29 49→50 48→50 47→45 49 .247/.313/.386 .139.305 164 24% 8% 98 +1.6 .237/.295/.372 .135.302 158 26% 7% 86 +0.8 .222/.275/.349.128.281151126%6%68-0.2
Mike Brosseau
2023 · MLB
29 46→56 51→55 52→45 46 .231/.315/.389 .158.304 208 30% 9% 101 +1.8 .214/.285/.353 .139.270 196 27% 7% 79 +0.3 .193/.261/.311.118.23817526%6%55-0.7
David Bote
2022 · MLB
29 42→48 50→55 47→45 52 .217/.306/.373 .156.261 186 24% 10% 92 +1.2 .224/.293/.375 .151.287 168 27% 7% 87 +0.8 .227/.294/.384.157.29317827%7%87+0.4
Phillip Ervin
2021 · MLB
29 49→52 48→50 49→55 48 .240/.314/.388 .149.300 1414 24% 8% 99 +1.7 .207/.283/.336 .129.279 1515 29% 9% 73 -0.1 .163/.242/.272.109.220152132%9%36-1.2
Joe Mather
2011 · MLB
29 42→45 48→60 48→50 45 .216/.274/.361 .145.256 1611 23% 7% 76 +0.0 .215/.266/.326 .111.273 1110 24% 6% 63 -0.9 .206/.260/.310.104.26110824%7%52-0.7
Michael McKenry
2014 · MLB
29 45→46 50→55 44→40 48 .231/.299/.387 .156.280 184 24% 8% 92 +1.2 .243/.325/.408 .165.299 186 24% 10% 109 +2.4 .231/.329/.388.157.29517526%12%101+0.7
Valentino Pascucci
2007 · MLB
28 47→45 50→55 51→45 51 .238/.322/.393 .155.302 1811 26% 10% 104 +2.0 .227/.311/.415 .188.291 247 30% 10% 105 +2.1 .213/.299/.386.173.27423530%10%90+0.9
Brandon Larson
2005 · MLB
29 42 48→50 46→45 52 .214/.302/.352 .138.267 169 26% 10% 85 +0.7 .227/.286/.383 .156.291 206 28% 7% 86 +0.8 .222/.268/.379.157.27921429%5%75-0.0
Josh Fields
2012 · MLB
29 50→56 52→55 48→50 45 .254/.311/.423 .168.312 2011 25% 7% 107 +2.2 .248/.295/.371 .123.339 1111 28% 6% 86 +0.8 .248/.293/.356.107.3439929%6%79+0.2
Anthony Recker
2014 · MLB
30 43→48 51→50 43→45 47 .220/.295/.378 .157.286 197 29% 9% 89 +0.9 .211/.280/.369 .158.286 206 32% 8% 80 +0.4 .200/.280/.351.151.26619331%9%71-0.1
Alex Call
2023 · MLB
28 47→48 51→50 49→50 53 .239/.324/.402 .163.270 1914 20% 10% 108 +2.3 .227/.322/.365 .138.265 1515 19% 11% 97 +1.5 .223/.324/.347.125.262121419%12%92+0.8
Adam Heether
2011 · AAA
29 44→54 47→50 49→45 49 .219/.302/.354 .135.268 149 23% 9% 86 +0.8 .200/.284/.320 .120.245 149 24% 8% 70 -0.3 .178/.268/.284.106.21813724%8%51-1.0
Andrew Brown
2014 · MLB
29 45→46 54→55 45→40 44 .234/.297/.416 .182.305 225 30% 8% 99 +1.7 .231/.295/.407 .176.289 215 27% 8% 97 +1.5 .218/.287/.392.174.26423227%8%86+0.6
Mike Wilson
2012 · MLB
29 45→54 52→60 48→50 45 .230/.302/.394 .164.303 2010 30% 8% 96 +1.5 .226/.291/.383 .157.305 197 31% 8% 89 +0.9 .213/.273/.361.148.30020435%6%72-0.1
Jayson Nix
2011 · MLB
28 42→49 54→55 47→55 46 .224/.291/.399 .174.259 2311 24% 7% 93 +1.3 .215/.281/.358 .143.270 1613 26% 7% 78 +0.2 .210/.278/.325.115.278101827%7%63-0.4
Clint Frazier
2022 · MLB
27 44→46 51→55 46→50 51 .226/.313/.393 .166.290 197 28% 10% 100 +1.7 .200/.291/.325 .125.297 1311 34% 10% 74 -0.1 .180/.269/.291.112.273121236%9%54-0.9
Mario Lisson
2013 · AA
29 45→49 50→55 54→55 44 .229/.292/.386 .157.295 1719 28% 7% 89 +1.0 .231/.295/.384 .153.291 1812 26% 7% 91 +1.1 .233/.305/.376.142.30418828%8%91+0.8
Niko Goodrum
2021 · MLB
29 46→52 51→55 53→55 48 .233/.306/.404 .171.311 1816 30% 9% 99 +1.7 .218/.303/.353 .135.315 1518 32% 11% 85 +0.7 .234/.334/.361.127.331131430%13%97+0.6
Mikie Mahtook
2019 · MLB
29 45→55 50→55 52→50 42 .231/.287/.388 .157.291 1710 27% 6% 88 +0.9 .220/.283/.402 .182.273 2412 29% 7% 90 +1.0 .205/.268/.396.192.245281330%7%80+0.3