Zach ReksOF San Antonio Missions
Age 32 L/R 6'0" / 190 lbs AA HR +13%BB +8% Svc 4.000 · Ctrl thru 2027
wRC+†75
AVG/OBP/SLG.211 / .288 / .333
PA250
HR5
K%33
BB%9
MLB%2%
BAT: -7.0 runs (wOBA-derived runs vs avg)-7BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: -1.4 runs (Defensive runs vs avg)-1FLDPOS: -2.7 runs (Positional adjustment)-3POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: -0.40-0.4WAR
Scouting · nowfuture
HIT
2020
PWR
3535
SPD
4444
EYE
5959
trajectory · 10 yrs
-0.2peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-2
MLB Debut   2022
Service   4.000 yrs.days
Team Control Through   2027
First FA Year   2028
YearStatusSalary Proj WAR Value Surplus
2026Arb-2$0.4M
2027Arb-3$0.6M
Totals $-5M $-5M +$0.0M

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
201723 A+2 teams 176162 45202 9404 25 .278.331.327.659 .049.358 235 .288 79 -4 -2 +0 -2 +5 -0.3
201824 AA2 teams 334310 801424 221040 63 .258.307.355.662 .097.373 317 .292 82 -7 +0 +0 -4 +9 -0.1
201925 AAA2 teams 518464 10115222 441697 31 .218.295.401.696 .183.286 338 .302 89 -6 +0 +0 -6 +15 0.3
202127 AAAOklahoma City Dodgers 379337 7419114 321408 01 .220.302.407.709 .187.324 378 .306 92 -3 -0 +0 -4 +11 0.3
202228 AAA2 teams 174159 441015 11554 12 .277.339.447.786 .170.394 326 .337 116 +3 -1 -1 -2 +5 0.4
202430 AASan Antonio Missions 242209 21603 26944 12 .100.213.172.386 .072.158 3911 .184 -1 -28 -1 +0 -3 +7 -2.4
▸ 2026 Season
202632 MLBSD 250223 47915 22823 41 .211.290.327.618 .117.307 339 .283 75 -7 +0 -1 -3 +7 -0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202733 MLB 9%SD 262235 491015 22853 31 .209.285.323.608 .115.304 328 .282 74 -8 +0 -6 -3 +7 -0.9
202834 MLB 19%SD 220197 41814 19712 21 .208.284.320.604 .112.301 329 .279 72 -7 +0 -6 -2 +6 -0.9
▸ Career Totals (MLE all levels + projections)
Career 25552296 50293964 20784035 2217 .219.293.351.644 .132.312 338 .286 77 -67 -2 -14 -27 +72 -3.9
/ 162G 650584 12724216 532149 64 .217.293.348.640 .130.311 338 .286 77 -17 -0 -4 -7 +18 -1.0

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
201723 A+Rancho Cucamonga Quakes 111102 32102 7172 11 .314.369.382.752 .069.361 156 .343 120 +3 -0 +3 0.6
201723 AGreat Lakes Loons 6555 17200 7132 14 .309.406.345.752 .036.405 2011 .346 123 +2 -1 +2 0.2
201824 AATulsa Drillers 296260 751413 34730 53 .288.371.385.755 .096.387 2511 .342 120 +7 -0 +8 1.5
201824 A+Rancho Cucamonga Quakes 3837 15312 150 10 .405.421.7031.124 .297.433 133 .486 230 +6 +0 +1 0.7
201925 AAAOklahoma City Dodgers 385331 9419119 481045 20 .284.383.520.902 .236.359 2712 .396 161 +27 +0 +11 3.9
201925 AATulsa Drillers 133113 35219 15272 11 .310.397.584.981 .274.329 2011 .418 178 +12 -0 +4 1.6
202127 AAAOklahoma City Dodgers 379321 9024119 461088 01 .280.382.539.921 .259.362 2812 .400 164 +27 -0 +11 3.9
202228 MLBTexas Rangers 3434 9100 0100 01 .265.265.294.559 .029.375 290 .251 50 -2 -0 -1 -2 +1 -0.5
202228 AAARound Rock Express 140121 401016 15364 11 .331.421.5791.000 .248.430 2611 .437 192 +15 -0 +4 1.9
202430 AASan Antonio Missions 242197 25703 38714 12 .127.280.208.488 .081.176 2916 .241 42 -16 -1 +7 -1.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career 3434 9100 0100 01 .265.265.294.559 .029.375 290 .251 50 -2 -0 -1 -2 +1 -0.5

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
Zach Reks (OGILVIE) 32 20 35 44 59 .211/.288/.333 .122.307 54 33% 9% 75 +0.0
David Matranga
2009 · AAA
32 41 46→45 49→50 42 .210/.274/.334 .124.276 1410 29% 6% 69 -0.4 .222/.302/.348 .126.301 139 28% 9% 84 +0.6 .209/.311/.324.115.28711528%10%82+0.2
Beau Taylor
2022 · MLB
32 43→46 44→45 47→30 46 .209/.292/.325 .116.297 124 32% 9% 74 -0.1 .210/.294/.322 .112.302 126 32% 9% 74 -0.1 .172/.286/.268.096.25212033%12%56-0.5
Brian Jeroloman
2016 · AAA
31 41→38 38→40 38→40 50 .198/.274/.269 .071.264 63 26% 9% 52 -1.6 .212/.289/.297 .085.285 66 25% 9% 65 -0.7 .198/.284/.262.064.2820027%10%51-0.4
Sherman Johnson
2021 · AAA
31 42→50 42→45 46→50 45 .207/.273/.316 .109.286 109 30% 8% 63 -0.9 .202/.289/.315 .113.288 109 31% 9% 70 -0.3 .164/.274/.265.101.2398531%11%50-0.8
Tyler LaTorre
2014 · AAA
31 43 43→40 48→40 44 .212/.273/.320 .107.281 106 28% 7% 63 -0.8 .221/.279/.307 .086.313 77 29% 7% 63 -0.9 .241/.292/.296.055.3433429%7%62-0.3
Jason Conti
2006 · MLB
31 43→41 45 44→50 40 .214/.262/.338 .124.285 136 29% 6% 64 -0.8 .219/.267/.331 .112.289 118 27% 5% 64 -0.8 .212/.258/.286.073.2787525%5%47-0.6
Baltazar Lopez
2016 · AAA
32 44 47→50 46→45 36 .218/.267/.350 .132.320 156 36% 6% 69 -0.4 .229/.295/.324 .095.356 99 35% 7% 74 -0.1 .252/.344/.290.039.4084435%10%89+0.2
Anthony Bemboom
2023 · MLB
33 39 46→45 47→45 47 .201/.274/.325 .124.257 145 27% 8% 66 -0.6 .214/.282/.327 .113.280 115 26% 8% 69 -0.4 .209/.284/.310.101.2778126%9%64-0.2
John Andreoli
2022 · AAA
32 41→51 46→45 51→60 47 .192/.288/.321 .129.317 1313 40% 11% 72 -0.2 .183/.278/.325 .142.316 1719 43% 11% 69 -0.4 .146/.256/.288.142.235192343%13%48-1.3
Steven Lerud
2016 · AAA
31 46→42 40→45 48→40 45 .218/.292/.306 .088.298 85 28% 8% 69 -0.4 .222/.301/.306 .084.318 76 30% 8% 72 -0.2 .212/.315/.261.050.3213030%11%63-0.3
Ryan Langerhans
2013 · MLB
33 42→41 48→50 45→50 51 .207/.302/.353 .146.302 1611 34% 12% 85 +0.7 .213/.292/.369 .156.305 188 34% 10% 85 +0.7 .198/.280/.370.172.26823234%10%77+0.1
Manuel Bobadilla
2015 · AAA
31 45 43→45 42→45 41 .218/.285/.325 .107.299 107 29% 6% 71 -0.3 .220/.279/.331 .111.270 126 23% 6% 69 -0.4 .212/.280/.293.081.2459017%6%61-0.3
Carlos Ibarra
2016 · AAA
32 44 44→50 40 39 .222/.258/.330 .107.275 124 24% 4% 59 -1.1 .217/.257/.312 .095.268 87 22% 5% 54 -1.4 .196/.233/.279.083.2325018%5%32-0.7
Matt Skole
2019 · AAA
30 37→39 48→50 47→40 44 .197/.260/.338 .141.252 174 29% 7% 64 -0.8 .206/.282/.350 .144.283 174 31% 9% 76 +0.1 .193/.282/.343.150.26020032%11%75-0.0
Daniel Hinojosa
2016 · AAA
32 46 39→40 44→55 37 .222/.258/.302 .080.308 810 30% 4% 52 -1.6 .226/.274/.304 .078.321 711 30% 6% 59 -1.1 .206/.260/.280.074.30491133%6%46-0.5
Webster Rivas
2022 · MLB
31 44 44→40 47→40 47 .218/.282/.329 .111.277 124 25% 8% 70 -0.3 .220/.299/.314 .094.299 75 26% 10% 73 -0.1 .212/.308/.279.067.2992226%12%66-0.3
Yamid Haad
2010 · AAA
32 43 42→45 44→40 39 .213/.250/.313 .100.274 106 26% 5% 52 -1.6 .236/.279/.346 .110.295 106 23% 5% 72 -0.2 .264/.309/.367.103.3208219%6%89+0.5
Jason Smith
2009 · MLB
32 40→35 51→55 48→50 34 .212/.247/.369 .157.295 196 35% 4% 66 -0.6 .187/.222/.303 .116.274 1312 36% 4% 37 -2.6 .138/.170/.206.068.20681837%3%-12-3.1
Gookie Dawkins
2011 · AAA
32 40→48 43→45 44→50 38 .201/.250/.311 .110.287 118 33% 6% 52 -1.6 .205/.258/.333 .128.288 1411 32% 6% 61 -1.0 .182/.238/.301.119.246151232%6%42-1.4
Justin Leone
2009 · AAA
32 40→41 50 52→55 50 .210/.290/.362 .152.264 1817 27% 10% 82 +0.5 .193/.264/.323 .130.271 1414 32% 8% 61 -1.0 .130/.199/.223.093.1949637%8%8-1.9