Jeremiah Jenkins1B San Jose Giants
Age 23 L/L 6'3" / 261 lbs A BB -3% Svc 0.0 · Ctrl thru 2036 peak 0.7 · 2030
wRC+†94
AVG/OBP/SLG.219 / .291 / .352
PA273
HR7
K%27
BB%8
MLB%0%
BAT: -1.8 runs (wOBA-derived runs vs avg)-2BATRUN: -0.0 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -4.9 runs (Positional adjustment)-5POSREP: +7.7 runs (Replacement-level credit)+8REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
4040
PWR
3535
SPD
4040
EYE
4945
trajectory · 10 yrs
0.7peak
2030

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+0.6$3M+$2M
2032Ext / FA-deal$0.9M+0.4$2M+$1.0M
2033Ext / FA-deal$1.0M+0.3$1M+$0.5M
2034Ext / FA-deal$3M
2035Ext / FA-deal$0.4M
2036Ext / FA-deal$0.6M
Totals $7M $2M -$5M
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
202421 ASan Jose Giants 4945 10212 3231 00 .222.286.444.730 .222.400 476 .281 73 -1 +0 +0 -1 +1 -0.1
202522 A2 teams 283254 51935 21666 00 .201.278.319.596 .118.249 237 .259 56 -14 +0 +0 -5 +8 -1.1
▸ 2026 Season (actual · ROS · total)
202623 ASan Jose Giants 5246 12202 6230 00 .261.346.435.781 .174.476 4412 .354 129 +2 +0 +0 -1 +1 0.2
ROS23 MLBSF 221198 45816 19642 31 .227.301.369.670 .141.300 299 .298 86 -4 +0 +0 -4 +6 -0.1
TOT23 MLBSF 273244 571018 25872 31 .234.310.381.691 .148.327 329 .308 94 -2 +0 +0 -5 +8 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%SF 313279 671229 28753 41 .240.316.394.710 .154.290 249 .314 98 -1 +0 +0 -6 +9 0.3
202825 MLB 25%SF 376334 8115211 35894 51 .243.322.398.720 .156.291 249 .318 101 +1 +1 +0 -7 +11 0.5
202926 MLB 42%SF 416369 8816212 39985 51 .238.320.390.710 .152.292 249 .320 103 +1 +1 +0 -7 +12 0.6
203027 MLB 58%SF 434385 9217213 411025 61 .239.320.395.715 .156.292 249 .320 103 +1 +1 +0 -8 +12 0.7
203128 MLB 68%SF 442392 9317213 421055 51 .237.319.390.709 .153.292 2410 .319 102 +1 +1 -1 -8 +13 0.6
203229 MLB 77%SF 440390 9317213 421065 51 .238.320.392.713 .154.291 2410 .317 100 +0 +1 -1 -8 +12 0.4
203330 MLB 84%SF 435385 9117212 421065 50 .236.319.384.704 .148.289 2410 .314 98 -1 +1 -2 -8 +12 0.3
203431 MLBSF 424376 8816212 411054 40 .234.316.383.699 .149.288 2510 .310 95 -2 +1 -3 -8 +12 0.0
203532 MLBSF 407361 8315211 391034 30 .230.312.374.686 .144.286 2510 .305 92 -4 +1 -4 -7 +12 -0.3
203633 MLBSF 379336 761429 36994 30 .226.309.360.669 .134.285 269 .300 87 -5 +1 -4 -7 +11 -0.5
203734 MLBSF 335297 661228 32903 30 .222.304.357.661 .135.283 2710 .293 82 -7 +1 -5 -6 +9 -0.8
▸ Career Totals (MLE all levels + projections)
Career 49544401 102418727136 460123156 517 .233.313.380.693 .147.290 259 .308 94 -34 +7 -20 -88 +140 0.6
/ 162G 650577 13525418 601627 71 .234.313.385.698 .151.292 259 .308 94 -4 +1 -3 -12 +18 0.1

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
202421 ASan Jose Giants 4944 13312 4161 00 .295.367.545.913 .250.423 338 .398 163 +3 +0 +1 0.5
202522 ASan Jose Giants 217187 43924 24385 00 .230.333.364.697 .134.267 1811 .317 101 +0 +0 +6 0.7
202522 ROKACL Giants 6654 20423 1091 00 .370.477.6851.162 .315.395 1415 .489 232 +10 +0 +2 1.2

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
Jeremiah Jenkins (OGILVIE) 23 40 35 40 45 .219/.291/.352 .133.285 74 27% 8% 81 +0.2
Troy Sieber
2018 · A
23 48 42→45 43→40 49 .226/.306/.334 .108.314 94 29% 10% 82 +0.5 .217/.286/.321 .104.322 85 32% 8% 69 -0.4 .184/.251/.279.094.2926236%7%41-0.7
Deangelo Mack
2011 · A
24 43→41 46→50 42→45 42 .217/.267/.342 .126.276 135 27% 6% 67 -0.5 .239/.296/.372 .133.302 136 24% 7% 87 +0.8 .262/.325/.407.145.32313622%7%105+1.3
Luis González
2019 · A
23 46→50 44→45 43→50 43 .227/.278/.349 .123.294 106 26% 6% 73 -0.1 .218/.274/.330 .112.277 1112 24% 7% 66 -0.6 .230/.308/.344.114.294122225%9%81+0.2
Chris Parmelee
2011 · AA
23 45→51 46→50 43→45 48 .225/.294/.355 .130.287 134 26% 8% 82 +0.5 .243/.309/.387 .144.292 152 21% 8% 96 +1.5 .240/.311/.393.153.28417121%9%98+1.5
Austin Gallagher
2012 · A
23 48→49 43→45 39→30 48 .236/.293/.344 .109.289 112 22% 8% 79 +0.3 .234/.302/.372 .138.295 154 24% 9% 90 +1.0 .226/.301/.382.155.28417226%9%88+0.6
Chris McGuiness
2011 · A
23 44→49 46→50 42→30 50 .221/.300/.348 .126.280 144 25% 9% 83 +0.6 .210/.282/.331 .121.277 133 27% 9% 71 -0.3 .217/.292/.356.139.26914024%9%79+0.2
Jimmy Herron
2019 · A
23 45 44→45 42→55 46 .224/.288/.336 .112.272 126 22% 7% 75 -0.0 .194/.268/.288 .094.254 814 25% 8% 53 -1.5 .218/.294/.351.132.264152423%8%78+0.2
Robbie Tenerowicz
2018 · A
23 46→51 45→50 41→45 42 .228/.280/.353 .126.287 124 25% 6% 76 +0.0 .225/.278/.326 .101.288 98 24% 6% 67 -0.5 .232/.320/.392.161.28820225%7%102+1.2
Bijan Rademacher
2015 · A
24 48 42→45 43→45 44 .233/.290/.341 .109.301 86 25% 7% 76 +0.1 .239/.307/.353 .114.302 96 22% 8% 86 +0.8 .246/.316/.359.114.30410421%9%89+0.6
Dustin Yount
2006 · A
23 44 45 46→40 44 .215/.290/.330 .116.307 136 32% 8% 75 -0.0 .213/.287/.324 .111.289 125 29% 9% 71 -0.3 .216/.292/.335.118.28915229%9%74-0.0
Josh Sale
2014 · A
23 42 44→45 46→40 47 .209/.278/.327 .118.272 117 27% 8% 68 -0.5 .203/.264/.295 .092.351 74 41% 7% 53 -1.5 .183/.256/.291.108.30511241%8%47-1.0
Anderson Gomes
2008 · A
23 45→38 43→45 44→50 42 .224/.271/.336 .112.289 117 26% 6% 66 -0.6 .215/.267/.329 .114.297 118 30% 6% 63 -0.8 .160/.218/.266.106.229131035%6%24-0.9
Christopher Duffy
2011 · A
23 43→53 44→50 47→30 46 .211/.283/.325 .114.287 114 29% 8% 70 -0.3 .233/.298/.367 .134.331 153 32% 7% 87 +0.8 .250/.312/.396.146.36017133%7%98+0.8
Bryan Byrne
2007 · A
23 48→58 41→45 42→40 50 .232/.306/.330 .098.295 94 24% 9% 81 +0.4 .252/.325/.364 .112.309 103 20% 9% 97 +1.5 .253/.332/.361.108.3079219%9%96+1.2
David Olmedo-Barrera
2016 · A
22 45→42 41→50 44→50 38 .218/.266/.316 .099.288 87 27% 4% 59 -1.1 .226/.268/.329 .103.289 812 24% 4% 63 -0.8 .219/.259/.319.100.28371425%4%55-0.7
Mark Hamilton
2007 · A
23 44→43 42→50 48→30 40 .217/.263/.321 .104.287 106 28% 5% 59 -1.1 .226/.278/.363 .137.296 163 28% 6% 78 +0.2 .256/.330/.408.152.34115027%8%109+1.4
Orlando Martinez
2021 · A
23 43→44 45→50 44→45 41 .218/.263/.339 .120.281 137 27% 6% 64 -0.8 .214/.257/.340 .126.291 138 30% 5% 62 -0.9 .224/.282/.338.114.27710722%7%71-0.2
Jeremy Vasquez
2019 · A
23 44→47 44→45 44→30 46 .221/.282/.340 .119.277 122 24% 8% 72 -0.2 .215/.282/.314 .099.280 83 24% 8% 66 -0.6 .210/.278/.298.088.2717123%8%58-0.8
Lance Ray
2013 · A
23 40→38 45 45 45 .201/.269/.324 .123.263 126 28% 8% 63 -0.8 .200/.265/.317 .117.276 116 30% 7% 60 -1.0 .155/.226/.209.054.2214530%8%14-0.9
Bobby Melley
2017 · A
23 48 41→45 44→30 45 .231/.292/.331 .100.293 84 23% 6% 75 -0.0 .223/.287/.312 .089.290 74 24% 7% 68 -0.5 .211/.283/.281.069.2708023%8%57-0.4