Daniel RogersC San Jose Giants
Age 24 L/R 6'3" / 225 lbs A BB -3% Svc 0.0 · Ctrl thru 2036 peak 0.8 · 2029
wRC+†59
AVG/OBP/SLG.208 / .271 / .318
PA90
HR2
K%31
BB%7
MLB%0%
BAT: -4.2 runs (wOBA-derived runs vs avg)-4BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.6 runs (Positional adjustment)+2POSREP: +2.5 runs (Replacement-level credit)+3REPTotal WAR: +0.00+0.0WAR
trajectory · 10 yrs
0.9peak
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+0.7$3M+$2M
2032Ext / FA-deal$0.9M+0.6$3M+$2M
2033Ext / FA-deal$1.0M+0.3$1M+$0.5M
2034Ext / FA-deal$3M+0.1$0.5M-$2M
2035Ext / FA-deal$0.4M
2036Ext / FA-deal$0.6M
Totals $7M $4M -$2M
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
202523 ASan Jose Giants 6557 12200 5242 00 .211.297.246.542 .035.364 378 .247 47 -4 +0 +0 +1 +2 -0.1
▸ 2026 Season (actual · ROS · total)
202624 ASan Jose Giants 1615 3100 180 00 .200.250.267.517 .067.429 506 .236 39 -1 +0 +0 +0 +0 -0.0
ROS24 MLBSF 7468 14211 5231 10 .206.270.309.579 .103.291 317 .268 63 -3 +0 +0 +1 +2 0.1
TOT24 MLBSF 9083 17311 6311 10 .205.267.301.568 .096.314 347 .262 59 -4 +0 +0 +2 +3 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 10%SF 156142 30513 11462 31 .211.277.324.601 .113.293 297 .280 73 -5 +0 +0 +3 +4 0.3
202826 MLB 25%SF 254230 51926 19743 41 .222.290.357.646 .135.294 297 .288 79 -6 +0 +0 +5 +7 0.6
202927 MLB 42%SF 311281 631128 24903 51 .224.292.363.655 .139.294 298 .290 80 -7 +1 +0 +6 +9 0.8
203028 MLB 52%SF 348314 691228 271014 51 .220.290.347.637 .127.294 298 .290 80 -8 +1 -1 +6 +10 0.8
203129 MLB 63%SF 364328 731329 291064 51 .223.294.357.650 .134.293 298 .288 78 -9 +1 -1 +7 +10 0.7
203230 MLB 72%SF 374337 741329 301104 40 .220.291.350.641 .131.291 298 .284 76 -10 +1 -2 +7 +11 0.6
203331 MLB 81%SF 357323 691228 281073 20 .214.282.337.620 .124.290 308 .281 73 -11 +0 -3 +6 +10 0.3
203432 MLB 87%SF 334302 641127 261023 10 .212.281.331.612 .119.288 318 .276 69 -12 +0 -4 +6 +9 0.1
203533 MLBSF 299271 571026 23933 00 .210.279.328.608 .118.287 318 .271 65 -12 +0 -4 +5 +8 -0.2
203634 MLBSF 253229 46815 20812 00 .201.271.310.581 .109.285 328 .264 60 -11 +0 -5 +5 +7 -0.5
▸ Career Totals (MLE all levels + projections)
Career 31892882 6221081970 24795734 305 .216.285.339.625 .124.295 308 .281 73 -98 +4 -20 +57 +90 3.5
/ 162G 650587 12722414 501957 61 .216.285.339.624 .123.297 308 .281 73 -20 +1 -4 +12 +18 0.7

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
202523 ASan Jose Giants 6554 15300 8172 00 .278.391.333.724 .056.405 2612 .335 114 +1 +0 +2 0.3

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
Daniel Rogers (OGILVIE) 24 .208/.271/.318 .110.291 22 31% 7% 63 -0.1
Taylor Grzelakowski
2018 · A
24 43 40→45 50→30 42 .211/.263/.307 .096.286 88 28% 6% 56 -1.3 .215/.275/.312 .097.328 73 34% 7% 62 -0.9 .204/.270/.296.092.3116134%8%54-0.8
Jeferson Morales
2023 · A
24 39→46 46→45 49→50 44 .197/.277/.329 .131.260 149 29% 7% 69 -0.4 .215/.289/.346 .131.275 139 25% 7% 78 +0.2 .223/.298/.355.132.27712823%7%81+0.2
Ryan Schimpf
2012 · A
24 38→39 46→60 51→45 40 .193/.263/.329 .136.276 138 33% 7% 63 -0.9 .199/.276/.370 .171.267 205 32% 8% 79 +0.3 .201/.284/.419.218.23528228%9%91+0.9
Christopher Familia
2023 · A
23 40 45→55 47→45 45 .204/.281/.326 .122.262 138 27% 7% 70 -0.3 .219/.278/.391 .172.284 224 30% 6% 85 +0.7 .215/.266/.411.196.27028032%5%81+0.2
Logan Driscoll
2023 · A
25 42→45 45 49→40 41 .211/.275/.335 .124.295 136 32% 7% 69 -0.4 .225/.281/.350 .125.306 135 29% 6% 76 +0.0 .232/.286/.359.127.31113329%5%76+0.1
Sicnarf Loopstok
2017 · A
24 43→37 43→50 50 38 .211/.270/.324 .114.293 1012 30% 5% 64 -0.8 .213/.281/.365 .152.300 189 34% 7% 80 +0.4 .204/.280/.377.174.28122734%7%84+0.4
Adrian Del Castillo
2023 · A
23 36→45 43→55 52→40 41 .184/.246/.294 .110.257 107 32% 7% 46 -2.0 .210/.280/.351 .141.289 154 31% 8% 76 +0.0 .218/.292/.382.164.29319131%9%86+0.5
Matthew Acosta
2022 · A
24 45 44→45 53→50 46 .219/.290/.343 .124.299 119 29% 8% 77 +0.1 .205/.273/.316 .111.294 1113 32% 8% 63 -0.9 .181/.252/.276.095.261101633%8%42-1.4
Chris Meyers
2023 · A
24 42→46 44→50 51→40 43 .212/.273/.333 .122.278 129 28% 7% 67 -0.5 .228/.285/.377 .149.300 185 29% 6% 85 +0.7 .226/.286/.378.152.29419329%6%82+0.3
Jake Rogers
2018 · A
23 41→40 44→55 47→45 42 .205/.269/.327 .122.280 1110 30% 7% 65 -0.7 .196/.267/.342 .146.271 177 33% 8% 69 -0.4 .206/.283/.412.206.26529133%8%91+0.6
Anthony Seigler
2023 · A
24 40→39 43→45 46→55 54 .196/.296/.310 .114.268 911 28% 12% 72 -0.2 .198/.295/.313 .115.254 1119 24% 12% 72 -0.2 .200/.299/.321.122.247122723%12%74-0.1
Jackson Cluff
2021 · A
24 40→29 42→45 51→55 40 .197/.258/.305 .108.275 1012 31% 6% 54 -1.4 .182/.252/.277 .095.281 812 36% 6% 45 -2.1 .181/.273/.314.132.266142835%10%61-0.6
Mark Fleury
2012 · A
24 43→41 44→45 49→45 46 .212/.280/.334 .122.283 116 28% 8% 70 -0.3 .194/.272/.284 .090.309 67 35% 9% 54 -1.4 .140/.236/.197.057.2442239%10%18-1.5
Patrick Bailey
2023 · A
24 39→49 46→45 47→45 45 .199/.271/.326 .128.273 146 31% 9% 66 -0.6 .223/.284/.340 .117.298 125 28% 8% 74 -0.1 .229/.288/.338.110.30311427%7%75-0.0
Matt Lloyd
2021 · A
25 44→42 46→50 46→50 42 .218/.279/.349 .131.306 139 32% 7% 74 -0.1 .215/.282/.373 .158.319 207 37% 7% 82 +0.5 .214/.289/.352.138.288171230%9%78+0.1
Carlos Narváez
2023 · A
24 36→45 47→50 47→45 43 .185/.270/.313 .127.285 156 38% 9% 63 -0.9 .206/.289/.337 .131.291 157 32% 9% 76 +0.1 .215/.298/.353.138.28816629%9%82+0.3
LJ Talley
2021 · A
24 39→47 44→45 50 43 .197/.253/.309 .112.248 126 26% 6% 53 -1.5 .217/.275/.336 .119.275 139 25% 7% 69 -0.4 .215/.278/.330.115.270131024%7%66-0.4
Kyle Isbel
2021 · A
24 43→51 45→50 52→55 39 .215/.260/.338 .123.281 1217 28% 5% 63 -0.9 .225/.284/.361 .136.286 1318 25% 6% 79 +0.3 .226/.284/.366.140.280131924%6%78+0.1
Matt Wallach
2010 · A
24 41 42→45 45→40 43 .206/.261/.312 .106.264 93 26% 6% 56 -1.3 .216/.279/.334 .118.258 124 21% 7% 70 -0.3 .214/.286/.331.117.24614319%7%73-0.1
Carson Blair
2014 · A
24 38 44→50 45→30 40 .187/.254/.308 .121.292 116 38% 8% 53 -1.5 .202/.276/.338 .136.333 134 40% 9% 70 -0.3 .191/.269/.325.133.31814141%9%62-0.4