Ali CamarilloSS Stockton Ports
Age 23 R/R 6'0" / 180 lbs A HR -6%K -4% Svc 0.0 · Ctrl thru 2036 peak 1.8 · 2030
wRC+†96
AVG/OBP/SLG.224 / .285 / .319
PA320
HR4
SB14
K%23
BB%7
MLB%0%
BAT: -1.6 runs (wOBA-derived runs vs avg)-2BATRUN: +2.7 runs (SB/CS + UBR baserunning)+3RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +3.4 runs (Positional adjustment)+3POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: +1.40+1.4WAR
Scouting · nowfuture
HIT
4545
PWR
2020
SPD
5050
EYE
4435
trajectory · 10 yrs
1.8peak
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
2031Pre-Arb$0.9M+1.7$16M+$15M
2032Pre-Arb$0.9M+1.5$14M+$13M
2033Pre-Arb$1.0M+1.3$13M+$12M
2034Arb-1$2M+0.9$5M+$3M
2035Arb-2$2M+0.6$3M+$1M
2036Arb-3$1M+0.3$2M+$0.1M
Totals $8M $52M +$44M

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
202522 A2 teams 411374 801311 25905 185 .214.272.262.534 .048.274 226 .238 40 -28 +2 +0 +4 +12 -1.0
▸ 2026 Season (actual · ROS · total)
202623 AStockton Ports 8372 21313 6244 70 .292.378.486.864 .194.391 297 .363 136 +3 +1 +0 +1 +2 0.8
ROS23 MLBOAK 237215 50914 16564 71 .233.298.340.637 .107.300 247 .292 81 -5 +1 +0 +3 +7 0.5
TOT23 MLBOAK 320287 711227 22808 141 .247.319.376.695 .129.317 257 .310 96 -2 +2 +0 +3 +9 1.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%OAK 453410 991837 33967 122 .241.309.351.660 .110.295 217 .296 84 -8 +2 +0 +5 +13 1.2
202825 MLB 25%OAK 488440 1082039 371038 122 .245.315.366.681 .120.295 218 .302 89 -6 +2 +0 +5 +14 1.5
202926 MLB 42%OAK 508456 11120310 391088 111 .243.314.366.680 .123.296 218 .306 92 -5 +2 +0 +5 +14 1.7
203027 MLB 58%OAK 517463 11321310 411108 111 .244.316.367.684 .123.296 218 .306 92 -4 +2 +0 +6 +15 1.8
203128 MLB 68%OAK 517463 11321310 411118 101 .244.316.367.684 .123.295 218 .305 92 -5 +2 -1 +6 +15 1.7
203229 MLB 85%OAK 511457 11120310 411128 90 .243.316.365.682 .123.295 228 .303 90 -6 +2 -1 +5 +14 1.5
203330 MLBOAK 503450 1082039 401128 90 .240.313.358.671 .118.293 228 .300 88 -7 +2 -2 +5 +14 1.3
203431 MLBOAK 490441 1021928 391117 70 .231.304.338.642 .107.292 238 .296 85 -8 +1 -3 +5 +14 0.9
203532 MLBOAK 473425 981828 381097 60 .231.304.339.643 .108.291 238 .291 81 -10 +1 -4 +5 +13 0.6
203633 MLBOAK 443399 901627 351056 60 .226.298.328.626 .103.289 248 .286 77 -11 +1 -4 +5 +13 0.3
203734 MLBOAK 398358 801426 31986 50 .223.296.324.620 .101.288 258 .280 72 -12 +1 -5 +4 +11 -0.1
203835 MLBOAK 344309 671224 27885 50 .217.290.307.598 .091.286 268 .273 67 -13 +1 -6 +4 +10 -0.4
▸ Career Totals (MLE all levels + projections)
Career 62935660 133024133103 483140995 12813 .235.306.344.650 .109.293 228 .292 82 -128 +20 -25 +67 +178 11.5
/ 162G 650585 13725311 5014610 131 .234.306.344.649 .109.292 228 .292 82 -13 +2 -3 +7 +18 1.2

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
202522 A+Lansing Lugnuts 5750 13100 660 32 .260.339.280.619 .020.295 1111 .286 77 -1 -0 +2 -0.0
202522 AStockton Ports 354311 791511 32625 153 .254.333.318.652 .064.308 189 .297 85 -6 +2 +10 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
Ali Camarillo (OGILVIE) 23 45 20 50 35 .224/.285/.319 .095.285 46 23% 7% 69 -0.2
Taylor Krick
2011 · A
23 43 39→30 48→40 49 .206/.285/.289 .084.266 77 24% 9% 62 -0.9 .224/.308/.287 .063.307 45 26% 8% 71 -0.3 .233/.323/.283.051.3262226%8%73-0.0
Luis Perez
2014 · A
23 45 43→30 50 40 .222/.267/.338 .116.279 109 24% 5% 66 -0.6 .219/.258/.331 .112.307 106 30% 5% 59 -1.1 .217/.244/.347.129.29911231%3%54-0.4
Roy Morales
2018 · A
23 49 36→30 49→45 49 .231/.294/.298 .066.270 48 16% 6% 66 -0.6 .229/.291/.300 .071.281 410 19% 7% 66 -0.6 .267/.331/.325.058.3194816%7%86+0.3
Blake Rambusch
2023 · A
23 47 37→30 52→60 42 .219/.287/.296 .076.318 413 30% 7% 63 -0.8 .226/.311/.291 .065.315 328 26% 9% 72 -0.2 .233/.319/.287.055.31123723%9%71-0.1
Tyler Smith
2014 · A
23 48→53 39→40 50 44 .229/.288/.321 .092.288 511 21% 6% 70 -0.3 .236/.300/.329 .093.303 69 23% 8% 77 +0.1 .238/.298/.325.087.3026822%7%71-0.2
Onix Vega
2022 · A
23 44 39→30 51→45 45 .213/.281/.298 .085.274 68 24% 7% 62 -0.9 .210/.283/.285 .075.278 66 25% 8% 59 -1.1 .198/.277/.253.056.2614524%8%47-0.8
Luis De La Cruz
2012 · A
23 46 39→30 50→30 42 .221/.260/.317 .096.273 57 21% 5% 56 -1.3 .235/.265/.307 .072.285 46 18% 4% 55 -1.4 .272/.285/.328.056.3193216%1%66-0.3
Andy Paz
2017 · AA
24 48 38→40 51→45 46 .226/.282/.305 .078.295 67 24% 7% 63 -0.8 .220/.267/.287 .067.294 48 25% 6% 52 -1.6 .191/.231/.209.018.2630726%5%13-1.4
Walter Rasquin
2019 · A
23 49 40→30 54→50 42 .235/.285/.331 .096.305 813 25% 6% 71 -0.3 .180/.228/.266 .086.248 711 29% 4% 30 -3.1 .121/.163/.184.063.16161029%3%-22-3.0
Rayner Contreras
2010 · A
23 49 40 49→50 46 .233/.295/.328 .095.292 712 22% 7% 75 -0.0 .217/.269/.294 .077.307 510 29% 6% 54 -1.4 .214/.237/.235.020.3290434%3%20-0.7
Shawn Zarraga
2012 · A
23 49 39→40 50→45 45 .233/.296/.316 .083.301 69 24% 6% 72 -0.2 .249/.309/.343 .094.297 67 17% 6% 85 +0.7 .272/.340/.355.083.3164214%7%101+0.6
Eduardo Torrealba
2022 · A
23 47 38→30 47→50 43 .227/.281/.299 .073.284 69 22% 5% 61 -1.0 .209/.263/.284 .075.258 616 20% 6% 50 -1.8 .187/.242/.245.058.23341821%6%28-1.5
Sherman Lacrus
2016 · A
22 47 40→30 45→50 49 .225/.297/.314 .089.263 77 17% 7% 73 -0.1 .204/.258/.288 .084.268 68 25% 6% 49 -1.8 .183/.231/.254.071.2365924%4%26-1.1
Ivan Jimenez
2016 · AAA
23 45 41→40 46→55 39 .219/.262/.314 .095.300 910 29% 5% 56 -1.3 .245/.294/.332 .087.318 615 23% 6% 75 -0.0 .272/.336/.356.084.34621820%7%93+0.5
Vinny Capra
2019 · A
23 45→48 39→45 50 43 .217/.266/.304 .087.287 58 26% 6% 56 -1.3 .211/.263/.303 .092.282 712 26% 6% 55 -1.4 .251/.319/.370.119.31911924%8%92+0.5
Michael Osinski
2019 · A
23 49 38→30 48→45 42 .232/.287/.305 .072.312 59 26% 6% 65 -0.7 .220/.283/.300 .080.317 57 30% 7% 63 -0.9 .187/.268/.244.056.2950033%9%40-0.6
Marco Hernandez
2021 · A
23 46 39→40 49→45 48 .221/.287/.307 .086.276 58 21% 8% 66 -0.6 .204/.292/.304 .100.281 94 28% 9% 69 -0.4 .163/.265/.251.089.21411027%9%41-0.6
David Martin
2023 · A
22 45 39→30 49→30 42 .213/.285/.304 .091.300 67 29% 6% 66 -0.6 .223/.305/.293 .070.278 54 20% 9% 71 -0.3 .243/.334/.302.059.2915116%10%83+0.3
A.J. Pettersen
2012 · A
23 47 39→30 50 45 .224/.291/.312 .088.289 67 24% 7% 69 -0.4 .213/.275/.273 .060.259 39 18% 6% 52 -1.6 .205/.270/.251.047.24221015%6%43-1.2
Ramon Soto
2010 · AAA
22 47 39→30 47→45 43 .227/.276/.306 .079.283 810 22% 6% 61 -1.0 .240/.283/.304 .064.290 48 18% 5% 63 -0.9 .272/.316/.326.054.3332718%5%78+0.1