Michael BrooksSS Stockton Ports
Age 24 R/R 5'11" / 190 lbs A HR -6%K -4% Svc 0.0 · Ctrl thru 2036 peak 1.1 · 2030
wRC+†83
AVG/OBP/SLG.214 / .279 / .324
PA99
HR2
K%28
BB%8
MLB%0%
BAT: -1.9 runs (wOBA-derived runs vs avg)-2BATRUN: +0.5 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +2.8 runs (Replacement-level credit)+3REPTotal WAR: +0.20+0.2WAR
trajectory · 10 yrs
1.1peak
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+1.0$9M+$8M
2032Ext / FA-deal$0.9M+0.8$4M+$3M
2033Ext / FA-deal$1.0M+0.6$3M+$2M
2034Ext / FA-deal$0.6M+0.3$2M+$0.9M
2035Ext / FA-deal$5M
2036Ext / FA-deal$0.6M
Totals $9M $16M +$7M
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 AStockton Ports 10384 15300 16240 12 .179.310.214.524 .036.242 2316 .247 47 -6 -1 +0 +1 +3 -0.3
▸ 2026 Season (actual · ROS · total)
202624 AStockton Ports 4132 8100 9110 10 .250.415.281.696 .031.381 2722 .311 96 -0 +0 +0 +0 +1 0.2
ROS24 MLBOAK 5853 11201 5160 10 .208.276.302.578 .094.297 289 .282 74 -2 +0 +0 +1 +2 0.1
TOT24 MLBOAK 9985 19301 14270 20 .224.333.294.627 .071.316 2714 .294 83 -2 +0 +0 +1 +3 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 10%OAK 170151 35614 16431 31 .232.310.364.674 .132.291 259 .298 86 -3 +0 +0 +2 +5 0.4
202826 MLB 25%OAK 265235 54926 26662 51 .230.312.362.673 .132.292 2510 .304 91 -3 +1 +0 +3 +8 0.8
202927 MLB 42%OAK 318281 651128 31793 51 .231.314.370.684 .139.292 2510 .306 92 -3 +1 +0 +3 +9 1.0
203028 MLB 52%OAK 353312 721328 35893 61 .231.314.362.676 .131.292 2510 .305 92 -3 +1 -1 +4 +10 1.1
203129 MLB 63%OAK 368326 741328 36933 51 .227.310.353.662 .126.291 2510 .303 90 -4 +1 -1 +4 +10 1.0
203230 MLB 72%OAK 376333 751328 37973 40 .225.308.348.657 .123.290 2610 .300 88 -5 +1 -2 +4 +11 0.8
203331 MLB 81%OAK 369326 731328 37973 30 .224.309.350.658 .126.288 2610 .296 85 -6 +1 -3 +4 +10 0.6
203432 MLB 87%OAK 356315 691227 35953 10 .219.303.337.640 .117.287 2710 .291 81 -8 +0 -4 +4 +10 0.3
203533 MLB 93%OAK 330292 631126 32903 00 .216.300.329.628 .113.285 2710 .286 77 -9 +0 -4 +4 +9 0.0
203634 MLBOAK 288256 53915 28812 00 .207.290.309.599 .102.284 2810 .280 72 -9 +0 -5 +3 +8 -0.3
203735 MLBOAK 237210 43714 23692 00 .205.289.305.594 .100.281 2910 .272 67 -9 +0 -6 +3 +7 -0.5
▸ Career Totals (MLE all levels + projections)
Career 35913174 7021221973 35793928 347 .221.305.341.646 .119.288 2610 .294 83 -70 +4 -25 +38 +102 5.0
/ 162G 650575 12622313 651705 61 .219.304.336.640 .117.285 2610 .294 83 -13 +1 -5 +7 +18 0.9

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 AStockton Ports 10377 16300 23180 12 .208.390.247.637 .039.262 1722 .307 93 -1 -1 +3 0.2

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
Michael Brooks (OGILVIE) 24 .214/.279/.324 .111.289 22 28% 8% 68 -0.1
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
Luis Santana
2023 · A
24 44 45 48→50 42 .218/.280/.341 .124.281 1311 27% 6% 73 -0.1 .212/.267/.334 .122.269 147 26% 5% 66 -0.6 .195/.248/.310.116.24115525%5%48-1.0
Brett Harris
2022 · A
24 45→50 45 49→50 43 .220/.290/.339 .119.296 1211 29% 7% 76 +0.1 .239/.311/.381 .142.289 1610 22% 8% 96 +1.5 .236/.316/.369.133.28415922%8%91+0.9
Jacob Stallings
2014 · A
24 40→50 42→45 46→40 48 .195/.285/.304 .108.271 85 29% 10% 66 -0.6 .207/.266/.299 .092.289 75 29% 7% 56 -1.3 .251/.331/.384.134.30314021%10%98+0.8
John Hester
2008 · A
24 42 46→55 47→50 41 .214/.264/.343 .130.284 137 29% 6% 66 -0.6 .236/.277/.386 .150.310 149 28% 5% 82 +0.5 .249/.292/.416.167.322151027%5%94+0.7
Mark Mathias
2019 · AA
24 44→46 42→50 52→50 45 .212/.285/.324 .112.284 910 27% 8% 70 -0.3 .226/.290/.356 .130.287 1213 24% 7% 80 +0.4 .243/.319/.380.137.317151726%9%97+0.9
Cody Cipriano
2009 · A
24 40→48 45 55→45 45 .200/.270/.330 .131.263 1211 28% 8% 66 -0.6 .219/.288/.332 .113.309 98 30% 8% 73 -0.1 .225/.299/.333.108.3198729%8%76+0.0
Andrew Navigato
2022 · AA
24 41→40 44→60 46→50 44 .202/.279/.318 .116.282 1212 31% 8% 67 -0.5 .221/.280/.382 .161.276 1914 27% 6% 84 +0.6 .220/.279/.406.186.266231726%6%87+0.6
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
Andre Lipcius
2022 · AA
24 43→50 44→50 48→45 46 .215/.274/.331 .116.276 117 26% 8% 67 -0.5 .231/.302/.363 .132.287 148 23% 9% 87 +0.8 .231/.303/.365.135.28616724%9%86+0.7
Jake Slaughter
2021 · A
24 46 40→55 49→55 42 .223/.274/.317 .094.292 87 26% 6% 63 -0.8 .217/.280/.339 .122.313 1419 33% 6% 72 -0.2 .220/.293/.382.162.298212532%7%86+0.6
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
Jonathan India
2021 · AA
24 43→51 43→50 49→50 44 .209/.290/.320 .111.293 1110 31% 8% 72 -0.2 .242/.336/.389 .147.300 1510 23% 9% 109 +2.4 .243/.342/.393.150.294171122%10%107+1.9
Joey Ortiz
2022 · AA
24 45→55 44→50 53→50 44 .219/.285/.340 .121.291 1111 28% 7% 74 -0.1 .246/.301/.390 .144.301 1310 22% 7% 93 +1.3 .250/.313/.398.148.304131121%7%97+1.3
Eduardo Valencia
2023 · A
23 44→54 42→50 49→30 45 .215/.282/.315 .100.276 105 25% 7% 67 -0.5 .222/.280/.345 .123.283 144 26% 7% 73 -0.1 .250/.305/.416.166.30422025%6%100+1.0
Adam Rosales
2007 · A
24 44→48 46→55 46→45 43 .221/.278/.352 .131.276 137 25% 6% 74 -0.1 .233/.296/.386 .153.287 148 23% 6% 91 +1.1 .237/.303/.396.159.28514821%6%95+1.2
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
Tommy Field
2011 · A
24 46→50 44→45 49→45 44 .226/.295/.345 .120.292 1210 26% 7% 80 +0.4 .226/.291/.346 .120.292 128 26% 7% 79 +0.3 .222/.292/.351.128.27813724%7%78+0.2
Sean Jamieson
2013 · A
24 42→46 43→45 53→50 49 .206/.284/.321 .115.255 1015 23% 8% 69 -0.4 .226/.288/.343 .117.298 1011 26% 7% 76 +0.1 .234/.294/.349.115.31510927%6%77+0.1
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