Justin BenchSS San Jose Giants
Age 26 R/R 6'0" / 185 lbs A BB -3% Svc 0.0 · Ctrl thru 2036 peak 0.2 · 2028
wRC+†68
AVG/OBP/SLG.210 / .280 / .320
PA118
HR2
K%28
BB%7
MLB%0%
BAT: -4.3 runs (wOBA-derived runs vs avg)-4BATRUN: +0.5 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.3 runs (Positional adjustment)+1POSREP: +3.3 runs (Replacement-level credit)+3REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
2929
PWR
3333
SPD
4747
EYE
4040
trajectory · 10 yrs
0.3peak
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
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$1.0M
2034Ext / FA-deal$0.2M
2035Extbeyond projection horizon · no WAR estimate
2036Extbeyond projection horizon · no WAR estimate
Totals $2M $-8M -$10M
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
202323 ROK2 teams 11498 28311 7187 61 .286.375.367.742 .082.333 166 .324 106 +1 +1 +0 +1 +3 0.6
202424 A2 teams 260230 40902 138513 51 .174.258.239.497 .065.266 335 .218 25 -22 +1 +0 +3 +7 -1.2
▸ 2026 Season
202626 MLBSF 118107 23412 8332 20 .215.282.327.609 .112.281 287 .274 68 -4 +0 +0 +1 +3 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202727 MLB 10%SF 134121 27513 10372 21 .223.293.355.649 .132.283 287 .279 72 -4 +0 +0 +1 +4 0.1
202828 MLB 20%SF 223200 43814 17614 41 .215.290.325.615 .110.283 278 .281 74 -7 +0 -1 +2 +6 0.2
202929 MLB 33%SF 277249 541016 21755 41 .217.291.337.628 .120.283 278 .281 74 -8 +0 -1 +3 +8 0.2
203030 MLB 47%SF 313281 591116 24865 51 .210.284.320.604 .110.282 278 .279 72 -10 +1 -2 +3 +9 0.1
203131 MLB 61%SF 322290 611216 24905 40 .210.282.321.603 .110.280 287 .276 69 -11 +1 -3 +3 +9 -0.1
203232 MLB 78%SF 318286 591116 24905 40 .206.279.315.594 .108.279 288 .271 66 -12 +1 -4 +3 +9 -0.3
203333 MLBSF 298269 541015 22875 40 .201.274.301.575 .100.277 297 .266 62 -13 +1 -4 +3 +8 -0.5
203434 MLBSF 262236 47914 20784 30 .199.273.297.570 .097.275 308 .259 57 -13 +1 -5 +3 +7 -0.7
▸ Career Totals (MLE all levels + projections)
Career 26392367 495921045 19074057 436 .209.284.313.597 .104.282 287 .270 65 -104 +6 -20 +28 +75 -1.5
/ 162G 650583 12223211 4718214 111 .209.284.312.596 .103.282 287 .270 65 -26 +2 -5 +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
202323 ASan Jose Giants 5648 17000 484 50 .354.446.354.801 .000.425 147 .377 147 +3 +1 +2 0.6
202323 ROKACL Giants Orange 5846 17511 753 11 .370.482.5871.069 .217.381 912 .453 205 +7 -0 +2 0.8
202424 A+Eugene Emeralds 7164 13300 2153 20 .203.261.250.511 .047.265 213 .232 36 -5 +0 +2 -0.3
202424 ASan Jose Giants 189161 371002 164410 31 .230.337.329.666 .099.304 238 .308 94 -1 +0 +5 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
Justin Bench (OGILVIE) 26 29 33 47 40 .210/.280/.320 .110.281 22 28% 7% 68 -0.1
Chase Pinder
2022 · AA
26 38 42→45 43→45 44 .190/.273/.285 .095.272 105 32% 8% 56 -1.3 .226/.321/.370 .144.293 1510 26% 11% 98 +1.6 .221/.324/.370.149.286161127%12%97+0.8
JJ Schwarz
2022 · AA
26 38 44→45 47→30 44 .195/.260/.302 .108.268 124 31% 8% 54 -1.4 .216/.284/.346 .130.306 154 32% 9% 76 +0.0 .206/.279/.334.128.29016133%9%68-0.3
Quincy McAfee
2023 · AA
25 39 43→45 43→45 46 .192/.280/.301 .108.265 117 30% 9% 63 -0.8 .198/.277/.336 .138.251 1610 27% 7% 71 -0.3 .186/.266/.336.150.221181225%7%63-0.5
Dominic Miroglio
2022 · AA
27 41 44→45 44→40 43 .205/.269/.321 .117.279 115 30% 7% 63 -0.9 .216/.284/.361 .145.260 155 23% 8% 80 +0.4 .203/.270/.374.171.21220216%7%72-0.1
Chadd Krist
2015 · A
25 40 41→40 44→45 43 .198/.262/.299 .100.269 86 29% 7% 53 -1.5 .191/.246/.291 .100.279 106 33% 6% 45 -2.1 .147/.198/.242.094.21111036%5%8-1.4
Ryan Ortiz
2014 · AAA
26 40 43→45 46→40 47 .199/.281/.306 .107.269 114 29% 9% 65 -0.7 .203/.295/.294 .091.287 74 29% 10% 67 -0.5 .185/.302/.243.058.2713028%13%55-0.7
Jeremy Farrell
2013 · AAA
26 46→38 41→45 45 41 .219/.284/.318 .099.304 86 29% 6% 69 -0.4 .203/.265/.302 .099.299 84 33% 5% 56 -1.3 .195/.252/.294.099.2947234%5%45-1.1
Skip Adams
2006 · A
26 46→36 43→45 46→45 37 .224/.268/.336 .112.317 910 32% 5% 66 -0.6 .197/.251/.292 .095.292 99 34% 6% 47 -1.9 .182/.242/.274.092.27110935%6%37-2.3
Nick Vickerson
2014 · A
25 38 43→40 50 47 .190/.271/.298 .108.259 1113 30% 9% 59 -1.1 .198/.292/.298 .100.275 911 29% 10% 68 -0.5 .183/.296/.269.086.25581128%12%59-0.7
Jay Brossman
2011 · AA
26 38→37 45 45 41 .194/.248/.319 .124.243 138 26% 5% 53 -1.5 .206/.253/.325 .119.279 1310 30% 5% 56 -1.3 .187/.224/.312.125.250161732%5%37-0.4
César Salazar
2022 · AA
26 41→40 46→45 47→45 41 .210/.270/.338 .128.259 158 25% 5% 68 -0.5 .209/.287/.342 .133.251 168 23% 6% 77 +0.1 .201/.292/.321.120.23614621%7%72-0.1
Jason Delay
2021 · AA
26 41 44→45 49→40 38 .208/.261/.320 .112.286 136 32% 5% 59 -1.1 .205/.252/.302 .097.293 85 31% 5% 50 -1.8 .226/.285/.301.075.2973223%6%61-0.4
Brady Policelli
2021 · A
26 41→39 43→45 51→50 43 .201/.264/.316 .115.271 1014 28% 7% 59 -1.1 .192/.253/.311 .119.273 1213 33% 7% 53 -1.5 .161/.217/.278.117.224131834%6%27-1.7
Brian Serven
2021 · AA
26 38 45→50 43→30 40 .195/.250/.317 .122.255 135 28% 5% 54 -1.4 .193/.251/.326 .133.244 174 28% 6% 57 -1.2 .182/.252/.278.096.25112031%7%42-0.9
Andrés Alvarez
2022 · A
25 44→31 42→45 51→50 42 .214/.274/.320 .106.298 1014 30% 7% 64 -0.8 .198/.268/.326 .128.287 1515 34% 8% 64 -0.8 .185/.257/.304.120.263141334%8%51-1.0
Toby Welk
2022 · AA
25 39→33 44→45 48→45 42 .196/.263/.315 .118.271 129 31% 7% 59 -1.1 .204/.262/.318 .114.295 127 33% 7% 59 -1.1 .195/.242/.316.121.28213035%5%50-0.5
Maverick Handley
2023 · AA
25 40 45 51→50 44 .199/.282/.323 .124.278 1313 32% 8% 70 -0.3 .204/.293/.301 .097.284 911 29% 9% 69 -0.4 .196/.289/.271.075.27561028%9%57-0.6
Camden Duzenack
2021 · AA
26 35→37 45→50 47→50 39 .184/.244/.304 .120.244 1410 30% 6% 48 -1.9 .203/.249/.336 .133.277 1610 32% 5% 59 -1.1 .205/.254/.334.129.270151029%5%57-0.6
Andres Sosa
2023 · A
25 39 42→40 52→45 46 .191/.291/.300 .109.275 99 31% 9% 69 -0.4 .196/.285/.288 .092.287 77 32% 8% 63 -0.9 .183/.273/.260.077.2766433%7%47-0.7
Aaron Schunk
2023 · AA
26 40→43 44→45 48→50 36 .203/.250/.319 .116.288 129 33% 5% 53 -1.5 .216/.261/.332 .116.297 1110 30% 5% 62 -0.9 .216/.262/.331.115.289111028%5%58-0.8