Keston Hiura1B Albuquerque Isotopes
Age 29 R/R 5'10" / 208 lbs AAA H +10%K -4% Svc 7.000 · Ctrl thru 2026 peak 1.4 · 2026
wRC+†111
AVG/OBP/SLG.229 / .303 / .442
PA350
HR18
K%36
BB%7
MLB%10%
BAT: +4.2 runs (wOBA-derived runs vs avg)+4BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: -1.2 runs (Defensive runs vs avg)-1FLDPOS: +1.2 runs (Positional adjustment)+1POSREP: +9.9 runs (Replacement-level credit)+10REPTotal WAR: +1.40+1.4WAR
Scouting · nowfuture
HIT
5050
PWR
6060
SPD
4545
EYE
4750
trajectory · 10 yrs
0.7peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2019
Service   7.000 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$4M+1.4$11M+$7M
Totals $4M $11M +$7M

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
201720 A2 teams 187172 501153 8494 22 .291.337.465.802 .174.382 264 .343 121 +4 -0 +0 +1 +5 1.0
201821 AA3 teams 640594 14734513 2917615 2213 .247.299.387.687 .140.329 285 .298 86 -10 -1 +0 +2 +18 1.0
201922 MLB2 teams 591536 15134333 3919214 165 .282.346.541.887 .259.377 327 .376 146 +31 +1 -5 +2 +17 4.7
202023 MLBMilwaukee Brewers 246217 464013 168511 32 .212.299.410.709 .198.273 357 .305 91 -2 -0 -1 +1 +7 0.4
202124 AAA2 teams 403353 6819111 3515811 51 .193.286.346.631 .153.306 399 .278 71 -13 +1 -2 -7 +11 -1.1
202225 MLB2 teams 325284 648118 2912911 55 .225.321.451.772 .225.333 409 .333 113 +5 -1 -3 -6 +9 0.5
202326 AAANashville Sounds 367326 8910021 2011017 02 .273.347.497.844 .224.342 305 .359 133 +14 -1 +0 +1 +10 2.5
202427 AAA2 teams 391360 749121 261534 11 .206.267.411.678 .206.283 397 .288 78 -10 -0 -1 +1 +11 0.2
202528 AAA2 teams 466416 7715214 3217616 11 .185.269.332.601 .147.276 387 .270 65 -18 -0 -0 -8 +13 -1.4
▸ 2026 Season
202629 MLBCOL 350313 7211118 2412610 21 .230.305.444.750 .214.315 367 .330 111 +4 +0 -1 +1 +10 1.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202730 MLB 20%COL 380341 7812119 2613810 11 .229.302.437.739 .208.313 367 .327 108 +4 -0 -3 +1 +11 1.2
202831 MLB 33%COL 365327 7311118 2513410 00 .223.298.428.726 .205.312 377 .323 105 +2 +0 -4 +1 +10 1.0
202932 MLB 43%COL 346311 6910117 231299 00 .222.294.424.719 .203.310 377 .318 102 +1 +0 -5 +1 +10 0.7
203033 MLB 52%COL 316284 629115 211208 00 .218.291.415.706 .197.308 387 .312 97 -1 +0 -5 +1 +9 0.4
203134 MLB 64%COL 272245 528112 181057 00 .212.285.400.685 .188.306 397 .305 92 -3 +0 -6 +1 +8 0.0
▸ Career Totals (MLE all levels + projections)
Career 56455079 117220524246 3711980157 5834 .231.303.426.729 .195.321 357 .317 101 +7 -2 -36 -5 +160 12.5
/ 162G 650585 13524328 4322818 74 .231.303.426.729 .195.322 357 .317 101 +1 -0 -4 -1 +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
201720 AWisconsin Timber Rattlers 115105 351120 7241 20 .333.381.476.857 .143.422 216 .373 144 +6 +0 +3 1.0
201720 ROKAZL Brewers 7262 27354 6133 02 .435.507.8391.346 .403.500 188 .559 286 +15 -1 +2 1.7
201821 AABiloxi Shuckers 307279 761826 22566 115 .272.339.416.755 .143.323 187 .338 117 +6 +0 +9 1.5
201821 A+Carolina Mudcats 228206 661637 14477 46 .320.383.529.912 .209.386 216 .399 164 +16 -2 +6 2.2
201821 INTLPeoria Javelinas 10596 31615 6282 72 .323.375.562.938 .240.406 276 .405 168 +8 +1 +3 1.2
201922 MLBMilwaukee Brewers 348314 9523219 251078 93 .303.369.570.939 .268.402 317 .407 170 +27 +1 -5 +2 +10 3.6
201922 AAASan Antonio Missions 243213 7016119 23646 72 .329.409.6811.090 .352.389 269 .465 214 +31 +1 +7 4.0
202023 MLBMilwaukee Brewers 246217 464013 168511 32 .212.299.410.709 .198.273 357 .316 100 -0 -0 -1 +1 +7 0.7
202124 MLBMilwaukee Brewers 197173 29914 14777 30 .168.258.301.558 .133.269 397 .254 52 -11 +1 -2 -7 +6 -1.4
202124 AAANashville Sounds 206172 441208 29694 21 .256.376.465.841 .209.375 3314 .374 144 +10 +0 +6 1.6
202225 MLBMilwaukee Brewers 266234 538114 231118 52 .226.317.449.766 .222.355 429 .339 117 +5 +0 -3 -6 +8 0.5
202225 AAANashville Sounds 5947 15106 9153 03 .319.458.7231.181 .404.346 2515 .500 241 +9 -1 +2 1.0
202326 AAANashville Sounds 367315 9712023 319017 02 .308.399.565.965 .257.359 258 .418 178 +32 -1 +10 4.3
202427 MLBLos Angeles Angels 2727 4000 0100 01 .148.148.148.296 .000.235 370 .134 -39 -4 -0 -1 +1 +1 -0.3
202427 AAASalt Lake Bees 364324 9315126 351074 10 .287.364.580.944 .293.349 2910 .408 170 +29 +0 +10 4.0
202528 MLBColorado Rockies 2118 4100 073 00 .222.333.278.611 .056.364 330 .295 84 -0 +0 -0 -8 +1 -0.8
202528 AAAAlbuquerque Isotopes 445383 10421321 4712313 11 .272.370.507.877 .235.344 2811 .385 153 +26 -0 +13 4.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career 1105983 23145450 7839737 208 .235.315.442.757 .207.335 367 .334 114 +17 +1 -12 -17 +31 2.1

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
Keston Hiura (OGILVIE) 29 50 60 45 50 .229/.303/.442 .213.315 182 36% 7% 111 +1.4
Chris Carter
2015 · MLB
28 41→51 60→65 47→45 49 .224/.311/.441 .217.291 295 33% 11% 112 +2.6 .211/.306/.435 .224.270 314 33% 11% 109 +2.4 .204/.305/.458.255.25937136%11%112+1.8
Jared Walsh
2022 · MLB
29 49→52 61→60 45→30 46 .257/.324/.483 .226.313 293 27% 8% 128 +3.7 .214/.282/.380 .166.290 214 32% 8% 84 +0.6 .175/.250/.311.136.25218237%8%49-1.0
Bobby Dalbec
2022 · MLB
27 42→44 62→60 46→50 42 .230/.300/.457 .227.299 315 34% 8% 112 +2.6 .219/.289/.416 .197.312 2710 37% 8% 97 +1.5 .200/.275/.384.184.313251342%8%78+0.2
Mark Trumbo
2015 · MLB
29 45→51 59→65 41→45 46 .243/.300/.448 .205.285 285 26% 8% 109 +2.4 .250/.305/.461 .211.292 293 25% 7% 115 +2.7 .250/.305/.462.212.28930125%7%111+2.5
Brent Rooker
2023 · MLB
28 39→49 62→65 44→45 42 .217/.298/.444 .227.283 306 34% 8% 108 +2.3 .255/.331/.494 .239.323 337 30% 9% 134 +4.1 .267/.344/.510.242.32533727%9%138+4.5
Jesús Aguilar
2019 · MLB
29 46→50 60 46→40 48 .248/.316/.462 .214.290 292 26% 8% 120 +3.1 .255/.334/.452 .197.295 262 22% 10% 124 +3.4 .249/.330/.435.185.27725020%10%115+1.7
Patrick Wisdom
2022 · MLB
30 37→45 64→70 48→50 41 .214/.285/.448 .234.287 359 38% 8% 104 +2.0 .216/.298/.462 .246.284 349 36% 9% 113 +2.6 .203/.290/.453.250.256341035%9%105+1.2
Franmil Reyes
2023 · MLB
28 46→52 57→65 43→45 44 .239/.300/.430 .191.312 264 31% 8% 105 +2.1 .220/.283/.376 .156.298 205 32% 8% 83 +0.6 .179/.250/.299.120.24317033%8%47-0.7
Bryan LaHair
2012 · MLB
29 47→54 60→65 42→40 43 .253/.303/.468 .214.306 283 27% 6% 116 +2.8 .243/.305/.425 .182.319 235 30% 8% 105 +2.1 .216/.286/.345.129.29715331%9%71-0.2
Matt Davidson
2020 · MLB
29 39→44 57→60 44→30 40 .215/.281/.409 .194.291 272 35% 7% 92 +1.2 .221/.290/.426 .205.290 293 34% 7% 100 +1.7 .223/.299/.448.226.28234034%7%106+1.4
Kyle Garlick
2022 · MLB
30 44→48 59→60 48→40 39 .234/.290/.446 .212.308 267 33% 6% 105 +2.1 .212/.274/.383 .171.291 234 34% 7% 82 +0.5 .179/.249/.326.147.25121137%7%56-0.9
Randal Grichuk
2021 · MLB
29 45→51 60→70 44→45 43 .245/.294/.464 .219.281 294 25% 6% 111 +2.5 .244/.289/.415 .171.284 223 22% 5% 95 +1.4 .251/.306/.434.183.28520120%6%103+1.2
Matt Adams
2018 · MLB
29 48→57 60→65 44→40 46 .258/.311/.479 .220.296 293 24% 7% 122 +3.3 .244/.302/.473 .229.284 333 27% 7% 117 +2.9 .214/.267/.407.193.26029031%6%81+0.3
Hunter Renfroe
2021 · MLB
29 38→46 66→70 50→45 47 .225/.293/.473 .248.252 356 28% 8% 114 +2.7 .241/.304/.463 .222.273 303 24% 8% 115 +2.8 .241/.303/.447.207.27227123%8%106+2.0
Randy Ruiz
2007 · AA
29 50→56 60 44→40 37 .261/.308/.475 .214.338 283 31% 5% 121 +3.2 .257/.306/.442 .185.335 222 29% 5% 110 +2.4 .262/.313/.449.188.33522128%5%112+2.4
C.J. Cron
2019 · MLB
29 47→53 59→65 41→40 44 .254/.317/.468 .214.291 284 24% 6% 121 +3.2 .255/.326/.481 .226.289 303 23% 8% 129 +3.7 .247/.320/.442.196.28725023%8%111+2.3
Tyler Moore
2014 · MLB
27 45→46 59→65 51→40 41 .242/.289/.452 .210.298 275 29% 6% 106 +2.2 .222/.283/.378 .156.281 183 27% 7% 84 +0.6 .204/.267/.340.136.25616027%7%63-0.4
Luke Voit
2021 · MLB
30 50→55 60 44→30 52 .265/.349/.481 .216.314 292 25% 10% 137 +4.3 .241/.324/.439 .198.313 273 30% 9% 117 +2.9 .225/.314/.413.188.30425233%10%103+1.3
Victor Diaz
2013 · AAA
31 45→51 61→60 45→50 43 .238/.309/.453 .215.323 3011 35% 8% 115 +2.7 .225/.284/.370 .145.378 188 42% 7% 82 +0.5 .218/.284/.340.122.46016051%7%69-0.1
Brandon Moss
2013 · MLB
29 44→51 59→65 43→45 44 .237/.298/.446 .209.286 277 28% 7% 108 +2.3 .249/.328/.484 .235.302 314 27% 9% 131 +3.9 .243/.331/.470.228.29430227%10%121+2.8