Dereck SalomSS Stockton Ports
Age 25 R/R 5'10" / 135 lbs A HR -6%K -4% Svc 0.0 · Ctrl thru 2036 peak 0.7 · 2029
wRC+†77
AVG/OBP/SLG.218 / .300 / .321
PA144
HR2
K%23
BB%9
MLB%0%
BAT: -3.8 runs (wOBA-derived runs vs avg)-4BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.5 runs (Positional adjustment)+2POSREP: +4.1 runs (Replacement-level credit)+4REPTotal WAR: +0.20+0.2WAR
Scouting · nowfuture
HIT
5151
PWR
3333
SPD
4747
EYE
5959
trajectory · 10 yrs
0.7peak
2029

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+0.5$2M+$1M
2032Ext / FA-deal$0.9M+0.3$1M+$0.5M
2033Ext / FA-deal$1.0M+0.1$0.5M-$0.5M
2034Ext / FA-deal$0.2M
2035Ext / FA-deal$0.4M
2036Extbeyond projection horizon · no WAR estimate
Totals $3M $0.6M -$3M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
201817 ROKDSL Athletics 167148 31200 12292 96 .209.278.223.501 .014.254 177 .228 33 -13 -1 +0 +2 +5 -0.7
201918 ROKDSL Athletics 154135 19300 14361 52 .141.227.163.390 .022.190 239 .187 1 -17 +0 +0 +2 +4 -1.1
202120 ROKACL Athletics 4540 8300 4170 20 .200.273.275.548 .075.348 389 .231 35 -3 +0 +0 +0 +1 -0.1
202221 ROK2 teams 207186 34310 12423 24 .183.244.210.453 .027.233 206 .209 18 -19 -1 +0 +2 +6 -1.3
202322 AStockton Ports 312269 49711 34813 11 .182.281.227.508 .045.249 2611 .236 39 -22 -0 +0 +3 +9 -1.0
202423 A2 teams 383331 65903 42835 81 .196.296.251.547 .054.248 2211 .248 48 -22 +1 +0 +4 +11 -0.6
▸ 2026 Season
202625 MLBOAK 144128 28512 14331 21 .219.301.320.621 .102.277 2310 .285 77 -4 +0 +0 +2 +4 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202726 MLB 10%OAK 158140 32613 15362 31 .229.312.350.662 .121.280 239 .292 82 -3 +0 +0 +2 +4 0.3
202827 MLB 25%OAK 251222 511015 24583 41 .230.313.351.665 .122.281 2310 .295 84 -5 +0 +0 +3 +7 0.6
202928 MLB 36%OAK 311275 621216 30723 51 .225.308.342.650 .116.281 2310 .295 84 -6 +1 -1 +3 +9 0.7
203029 MLB 46%OAK 344305 681317 33813 51 .223.305.341.646 .118.281 2410 .294 83 -7 +1 -1 +4 +10 0.6
203130 MLB 55%OAK 362320 711317 35874 51 .222.306.334.641 .112.279 2410 .291 81 -8 +1 -2 +4 +10 0.5
203231 MLB 66%OAK 364322 691316 35894 40 .214.299.317.616 .102.278 2410 .287 78 -9 +1 -3 +4 +10 0.3
203332 MLB 83%OAK 356316 681316 34883 30 .215.297.320.617 .104.277 2510 .282 74 -10 +1 -4 +4 +10 0.1
203433 MLBOAK 333295 621215 32853 20 .210.294.308.602 .098.275 2610 .277 70 -11 +0 -4 +4 +9 -0.2
203534 MLBOAK 293260 541014 28773 20 .208.292.300.592 .092.273 2610 .271 65 -11 +0 -5 +3 +8 -0.5
▸ Career Totals (MLE all levels + projections)
Career 41843692 7711341255 39899443 6220 .209.293.296.590 .087.268 2410 .269 64 -170 +4 -20 +45 +119 -2.3
/ 162G 650574 1212129 621547 103 .211.296.301.597 .091.269 2410 .269 64 -26 +1 -3 +7 +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
201817 ROKDSL Athletics 167140 35200 20202 96 .250.352.264.616 .014.285 1212 .287 77 -4 -1 +5 -0.0
201918 ROKDSL Athletics 154126 25500 23251 52 .198.327.238.565 .040.245 1615 .268 63 -6 +0 +4 -0.2
202120 ROKACL Athletics 4537 10400 7120 20 .270.386.378.765 .108.400 2716 .343 121 +1 +0 +1 0.3
202221 AStockton Ports 9784 19300 9132 12 .226.316.262.578 .036.264 139 .269 64 -4 -1 +3 -0.2
202221 ROKACL Athletics 11095 21120 10171 12 .221.302.274.576 .053.266 159 .259 57 -5 -1 +3 -0.3
202322 AStockton Ports 312255 54911 48603 11 .212.343.267.610 .055.265 1915 .288 79 -8 -0 +9 0.1
202423 A+Lansing Lugnuts 7867 16201 11170 10 .239.346.313.660 .075.306 2214 .309 95 -0 +0 +2 0.2
202423 AStockton Ports 305246 54802 49465 71 .220.360.276.636 .057.256 1516 .302 89 -4 +1 +9 0.6

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
Dereck Salom (OGILVIE) 25 51 33 47 59 .218/.300/.321 .103.277 22 23% 9% 77 +0.0
Tyler Smith
2016 · AA
25 50→53 40 47→50 49 .239/.307/.332 .093.304 69 22% 8% 81 +0.4 .220/.274/.305 .085.283 77 23% 6% 59 -1.1 .203/.252/.282.079.2617524%5%41-1.3
Jamie Ritchie
2018 · AA
25 50→53 39→40 46→45 53 .234/.322/.318 .084.306 66 24% 10% 84 +0.6 .232/.309/.327 .095.308 76 25% 9% 81 +0.4 .241/.322/.333.092.3146323%9%85+0.4
Kevin Nolan
2013 · A
25 51→50 41→45 46→50 50 .245/.306/.354 .109.295 710 19% 8% 85 +0.7 .237/.285/.339 .102.279 88 17% 6% 73 -0.1 .231/.274/.322.090.2677716%5%61-0.8
Lou Marson
2011 · MLB
25 48→54 40 50 52 .229/.305/.324 .095.283 710 21% 9% 79 +0.3 .216/.299/.301 .085.278 511 22% 10% 70 -0.3 .224/.319/.289.065.2971922%12%72-0.1
Seth Mejias-Brean
2016 · AA
25 49→53 42→45 47→45 49 .234/.300/.339 .105.297 96 24% 8% 79 +0.3 .225/.279/.312 .087.294 77 25% 6% 64 -0.8 .228/.280/.339.111.28612624%6%68-0.3
Wynston Sawyer
2017 · A
25 46 41→45 46→45 49 .222/.298/.325 .103.278 96 22% 8% 76 +0.1 .222/.294/.330 .108.294 95 26% 7% 76 +0.0 .211/.275/.311.100.2918128%5%59-0.3
Jake Lemmerman
2014 · AA
25 44→50 42→45 51→45 46 .213/.290/.322 .110.290 1010 28% 8% 72 -0.2 .194/.266/.303 .109.276 109 31% 8% 57 -1.2 .146/.218/.245.099.20610433%8%20-1.6
Jackson Brennan
2008 · A
25 44→42 42→45 47→50 48 .213/.305/.319 .106.285 910 27% 8% 79 +0.3 .210/.298/.299 .089.297 710 29% 9% 70 -0.3 .167/.282/.184.017.2640632%12%32-0.6
Carlos Alonso
2013 · A
25 51→53 38→40 45→40 49 .242/.310/.319 .076.285 65 17% 7% 79 +0.3 .240/.311/.325 .085.291 65 18% 7% 81 +0.4 .235/.308/.322.086.2876419%8%75+0.0
Francisco Urbaez
2023 · AAA
25 50→57 41→45 47→45 48 .239/.302/.343 .103.295 86 21% 7% 82 +0.5 .239/.300/.349 .110.293 97 21% 7% 82 +0.5 .246/.307/.361.115.2929718%7%87+0.5
Taylor Davis
2015 · AA
25 48→53 43→45 45→40 48 .234/.286/.347 .113.270 105 18% 6% 76 +0.0 .252/.297/.371 .119.289 103 16% 6% 86 +0.8 .257/.305/.368.111.2928115%6%86+0.5
Michael Garciaparra
2008 · AAA
25 51 39→40 45 47 .243/.315/.322 .078.307 69 22% 7% 82 +0.5 .234/.291/.314 .080.310 77 25% 6% 69 -0.4 .233/.281/.303.070.3156327%5%59-0.3
Aaron Mathews
2007 · A
25 50→53 42→45 48→45 46 .242/.285/.355 .113.284 910 18% 6% 77 +0.1 .249/.286/.357 .108.295 96 18% 5% 78 +0.2 .252/.290/.355.103.2889416%5%76+0.0
Marty Costes
2021 · A
25 46→56 42→45 49→50 48 .222/.298/.331 .109.263 1010 19% 7% 78 +0.2 .241/.324/.349 .108.310 914 23% 8% 94 +1.3 .241/.330/.348.107.31381623%9%93+0.6
Cody Cipriano
2010 · AA
25 44→48 43→45 48→45 46 .214/.288/.333 .118.293 99 28% 8% 74 -0.1 .221/.286/.329 .108.319 99 31% 7% 72 -0.2 .228/.297/.329.100.3297730%7%74-0.0
Dante Bichette Jr.
2019 · AA
26 48 42→40 46→40 48 .234/.299/.339 .105.296 105 24% 8% 79 +0.3 .239/.285/.330 .091.292 78 20% 6% 70 -0.3 .253/.292/.330.076.3054517%5%69-0.2
Joshua Rodriguez
2010 · AA
25 47→55 43→50 49→50 48 .228/.294/.342 .114.295 1011 25% 9% 78 +0.2 .240/.299/.358 .118.309 128 25% 8% 85 +0.7 .235/.301/.356.121.30611725%8%83+0.4
Patrick Frick
2022 · AA
25 50→51 43→45 49→45 46 .238/.315/.350 .112.323 107 28% 8% 90 +1.0 .219/.285/.294 .075.305 56 28% 7% 62 -0.9 .203/.265/.246.043.2881428%6%41-0.9
Daniel Pinero
2019 · A
25 47→48 40→45 47→40 49 .223/.291/.320 .097.277 75 21% 8% 72 -0.2 .209/.276/.328 .119.276 116 27% 7% 68 -0.5 .188/.257/.318.130.24614529%7%53-1.2
Shane Justis
2008 · A
25 50→52 44→45 51→50 48 .243/.304/.359 .116.282 1110 18% 7% 87 +0.8 .242/.300/.335 .093.286 610 17% 6% 79 +0.3 .243/.301/.329.085.2874916%5%74-0.0