Denilson AguilaSS DSL Phillies White
Age 20 S/R 5'11" / 165 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 2.1 · 2032
wRC+53
AVG/OBP/SLG.200 / .266 / .288
PA60
HR1
K%31
BB%7
MLB%0%
BAT: -3.2 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.6 runs (Positional adjustment)+1POSREP: +1.7 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.1peak
2032

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2032
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Ext / FA-deal$0.9M+2.1$20M+$19M
2033Ext / FA-deal$1.0M+2.1$21M+$20M
2034Ext / FA-deal$1.0M+2.0$20M+$19M
2035Ext / FA-deal$4M+1.8$19M+$15M
2036Ext / FA-deal$5M+1.6$17M+$12M
2037Ext / FA-deal$6M+1.3$14M+$8M
Totals $18M $111M +$93M

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
202418 ROKDSL Phillies White 10688 13000 64510 124 .148.279.148.427 .000.295 426 .196 8 -11 +1 +0 +1 +3 -0.6
▸ 2026 Season
202620 MLB 6055 11201 4191 10 .200.267.291.558 .091.290 327 .255 53 -3 +0 +0 +1 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11% 118107 23412 9351 20 .215.282.327.609 .112.293 308 .279 72 -4 +0 +0 +1 +3 0.1
202822 MLB 28% 263236 52926 22743 51 .220.295.352.647 .131.294 288 .294 83 -5 +1 +0 +3 +7 0.6
202923 MLB 48% 367328 7513210 321014 71 .229.305.372.677 .143.295 289 .303 90 -4 +1 +0 +4 +10 1.2
203024 MLB 62% 439391 8915312 401195 92 .228.307.373.681 .146.295 279 .309 95 -3 +1 +0 +5 +12 1.6
203125 MLB 80% 481427 9917314 451296 102 .232.314.384.698 .152.296 279 .312 97 -1 +1 +0 +5 +14 1.9
203226 MLB 94% 506447 10418315 481366 102 .233.315.387.702 .154.297 279 .314 99 -1 +1 +0 +5 +14 2.1
203327 MLB 517457 10618315 491406 102 .232.314.383.697 .151.297 279 .314 99 -1 +1 +0 +6 +15 2.1
203428 MLB 520459 10618315 501416 91 .231.315.381.696 .150.296 2710 .313 98 -1 +1 -1 +6 +15 2.0
203529 MLB 515454 10518315 501426 81 .231.316.383.699 .152.295 2810 .311 96 -2 +1 -1 +6 +15 1.8
203630 MLB 507447 10117314 491416 70 .226.311.371.682 .145.294 2810 .308 94 -4 +1 -2 +5 +14 1.6
203731 MLB 495438 9816314 481406 50 .224.309.370.679 .146.293 2810 .304 91 -5 +1 -3 +5 +14 1.3
203832 MLB 478424 9315313 461385 20 .219.303.361.664 .142.291 2910 .300 87 -7 +0 -4 +5 +14 0.9
203933 MLB 449398 8614311 431325 10 .216.300.349.650 .133.289 2910 .294 83 -9 +0 -4 +5 +13 0.5
204034 MLB 404358 7512210 391224 00 .209.294.338.632 .128.288 3010 .288 78 -10 +0 -5 +4 +11 0.1
204135 MLB 349309 641028 331094 00 .207.292.330.622 .123.286 319 .280 72 -11 +0 -6 +4 +10 -0.3
▸ Career Totals (MLE all levels + projections)
Career 65745823 130021639175 613186384 9816 .223.306.364.670 .141.295 289 .302 89 -81 +13 -25 +70 +186 16.7
/ 162G 650576 12821417 611848 102 .222.305.361.667 .139.294 289 .302 89 -8 +1 -2 +7 +18 1.6

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
202418 ROKDSL Phillies White 10685 18000 93110 124 .212.356.212.568 .000.327 298 .282 74 -3 +1 +3 0.1

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
Denilson Aguila (OGILVIE) 20 .200/.266/.288 .088.290 11 31% 7% 53 -0.2
Adalberto Mondesi
2015 · A
20 39→49 40→60 54→65 34 .196/.228/.285 .089.279 714 32% 4% 34 -2.8 .205/.237/.323 .118.291 1124 32% 4% 49 -1.8 .248/.279/.427.179.328194930%4%92+0.9
Niko Goodrum
2013 · A
21 40→50 39→55 51→55 41 .191/.252/.280 .089.282 58 33% 7% 44 -2.1 .212/.279/.299 .087.310 516 30% 8% 61 -1.0 .231/.306/.406.174.310181630%9%97+1.0
Yonathan Perlaza
2019 · A
20 44→52 37→60 48→50 38 .209/.246/.281 .072.297 312 30% 5% 40 -2.4 .218/.268/.312 .094.317 87 32% 6% 59 -1.1 .235/.307/.417.182.303191228%9%100+1.6
Miguel Gómez
2013 · A
20 42→52 38→50 49→40 41 .201/.259/.282 .081.276 46 28% 6% 48 -1.9 .220/.266/.316 .096.291 75 25% 5% 59 -1.1 .271/.288/.403.133.30514116%2%87+0.6
Angel Martínez
2022 · A
20 42→48 40→50 49→50 44 .205/.261/.303 .099.264 710 25% 7% 54 -1.4 .223/.284/.349 .126.283 1210 24% 7% 76 +0.1 .227/.291/.359.132.280131023%7%80+0.3
Alex Liddi
2009 · A
20 42→52 40→60 49→50 38 .202/.249/.300 .098.290 79 32% 5% 48 -1.9 .240/.291/.399 .159.335 167 32% 6% 92 +1.2 .241/.296/.424.182.33620533%6%99+1.7
Dalton Pompey
2013 · A
20 40→50 40→45 55 44 .197/.264/.289 .093.275 816 30% 8% 53 -1.5 .236/.299/.340 .104.314 724 25% 8% 79 +0.3 .253/.315/.362.109.32572823%8%88+0.8
David Bote
2013 · A
20 43→48 38→55 50→45 43 .200/.271/.286 .086.293 48 31% 8% 54 -1.4 .190/.266/.272 .082.263 56 28% 8% 50 -1.8 .234/.308/.397.164.29819627%8%95+1.0
Shawn O'Malley
2008 · A
20 42→52 36→40 50→60 41 .198/.262/.265 .067.281 411 29% 6% 45 -2.1 .210/.283/.263 .053.291 123 26% 7% 53 -1.5 .259/.321/.357.098.32252320%7%89+0.6
Dylan Carlson
2019 · A
20 42→52 43→55 45→50 45 .206/.277/.315 .109.279 106 28% 8% 65 -0.7 .228/.297/.383 .155.293 1610 27% 8% 91 +1.1 .242/.327/.396.154.29614422%9%105+1.6
Francisco Mejía
2016 · A
20 43→53 41→55 47→40 43 .211/.267/.303 .093.260 95 23% 6% 56 -1.3 .250/.290/.373 .123.301 134 21% 5% 85 +0.7 .258/.304/.423.165.30516121%5%101+0.9
Blake Perkins
2017 · A
20 40→50 36→50 43→55 41 .191/.242/.257 .066.264 47 28% 6% 33 -2.9 .204/.267/.288 .084.286 716 29% 7% 53 -1.5 .228/.311/.359.130.302132527%10%87+0.5
Henry Ramos
2012 · A
20 43→53 41→50 50 36 .211/.245/.308 .097.286 814 29% 4% 48 -1.9 .215/.257/.320 .105.287 99 27% 5% 56 -1.3 .251/.313/.394.142.31416724%7%96+0.9
Willi Castro
2016 · A
19 42→52 38→50 50→55 37 .203/.246/.286 .083.279 610 29% 4% 43 -2.2 .226/.255/.320 .094.288 711 23% 3% 55 -1.4 .240/.326/.383.143.305132324%8%98+1.3
Samad Taylor
2018 · A
20 45→53 37→50 51→65 41 .213/.268/.288 .076.300 410 29% 6% 53 -1.5 .183/.255/.284 .101.259 722 30% 8% 47 -1.9 .236/.312/.377.141.324164630%9%94+0.8
Danny Santana
2011 · A
20 42→52 39→60 55 37 .205/.240/.297 .092.277 615 28% 4% 43 -2.2 .226/.262/.322 .096.301 616 26% 4% 58 -1.2 .244/.288/.452.208.303272229%5%102+1.2
Emmanuel Rivera
2016 · A
20 40→50 35→55 48→45 45 .185/.261/.247 .062.282 312 33% 9% 40 -2.4 .222/.269/.320 .098.293 77 25% 5% 61 -1.0 .246/.303/.412.166.29319422%7%97+1.1
Rosell Herrera
2013 · A
20 40→50 37→45 48→55 42 .193/.244/.266 .073.258 59 26% 6% 37 -2.7 .230/.275/.318 .088.304 810 26% 6% 63 -0.8 .248/.303/.338.090.31552421%7%77+0.1
Allan Castro
2023 · A
20 38→43 40→45 54→50 40 .186/.249/.285 .099.276 68 33% 6% 44 -2.1 .202/.269/.315 .113.278 912 29% 8% 61 -1.0 .202/.273/.316.115.271101428%8%60-0.8
Lane Thomas
2016 · A
20 43→51 37→55 51→55 42 .200/.259/.277 .077.294 39 32% 7% 46 -2.0 .194/.260/.302 .108.313 1013 38% 8% 54 -1.4 .248/.312/.427.179.308211325%7%107+2.0