Axel Mancebo2B DSL Cubs Red
Age 19 S/R 5'10" / 160 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 2.4 · 2033
wRC+49
AVG/OBP/SLG.196 / .261 / .282
PA52
HR1
K%33
BB%7
MLB%0%
BAT: -3.0 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.2 runs (Positional adjustment)+0POSREP: +1.5 runs (Replacement-level credit)+1REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.4peak
2033

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+2.3$22M+$21M
2033Ext / FA-deal$1.0M+2.4$24M+$23M
2034Ext / FA-deal$1.0M+2.4$24M+$23M
2035Ext / FA-deal$5M+2.3$24M+$19M
2036Ext / FA-deal$7M+2.1$23M+$16M
2037Ext / FA-deal$9M+1.8$20M+$11M
Totals $23M $136M +$113M

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
202417 ROKDSL Cubs Red 7466 2100 6532 93 .030.135.045.181 .015.154 728 .101 -64 -14 +1 +0 +0 +2 -1.1
▸ 2026 Season
202619 MLB 5248 10201 4170 10 .208.269.312.582 .104.291 338 .250 49 -3 +0 +0 +0 +1 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11% 119107 23412 10361 21 .215.288.327.615 .112.299 308 .280 72 -4 +0 +0 +0 +3 0.0
202821 MLB 28% 269240 54927 24783 61 .225.303.367.670 .142.301 299 .298 86 -4 +1 +0 +1 +8 0.5
202922 MLB 48% 383339 7913311 361085 92 .233.316.386.702 .153.301 289 .309 94 -2 +1 +0 +1 +11 1.1
203023 MLB 65% 461408 9516314 441276 112 .233.317.390.706 .157.301 2810 .315 100 -0 +1 +0 +2 +13 1.6
203124 MLB 82% 512451 10618316 501396 122 .235.320.395.714 .160.302 2710 .320 103 +2 +2 +0 +2 +15 2.0
203225 MLB 543476 11319417 551477 132 .237.325.401.727 .164.302 2710 .323 105 +3 +2 +0 +2 +15 2.3
203326 MLB 560491 11719418 571527 132 .238.326.403.729 .165.303 2710 .324 106 +4 +2 +0 +2 +16 2.4
203427 MLB 566495 11820418 591547 132 .238.328.404.732 .166.303 2710 .324 106 +4 +2 +0 +2 +16 2.4
203528 MLB 566495 11719418 591557 122 .236.326.400.726 .164.302 2710 .323 106 +4 +2 -1 +2 +16 2.3
203629 MLB 559488 11519417 591547 111 .236.327.395.722 .160.302 2811 .321 104 +3 +2 -1 +2 +16 2.1
203730 MLB 550480 11118317 581547 101 .231.323.388.710 .156.300 2811 .318 102 +1 +2 -2 +2 +16 1.8
203831 MLB 537470 10818316 561526 70 .230.320.383.703 .153.299 2810 .314 99 -1 +1 -3 +2 +15 1.5
203932 MLB 519454 10317315 541506 50 .227.317.377.694 .150.297 2910 .310 95 -3 +1 -4 +2 +15 1.1
204033 MLB 490430 9415313 511456 30 .219.310.358.668 .140.296 3010 .304 91 -5 +1 -4 +2 +14 0.7
204134 MLB 443389 8413312 461355 10 .216.307.357.664 .141.294 3010 .298 86 -7 +0 -5 +2 +13 0.2
204235 MLB 389342 711129 401224 00 .208.298.330.628 .123.292 3110 .290 80 -9 +0 -6 +1 +11 -0.2
204336 MLB 329290 58927 331073 00 .200.288.317.606 .117.289 3310 .281 73 -10 +0 -6 +1 +9 -0.6
▸ Career Totals (MLE all levels + projections)
Career 79216959 157826051228 801228595 13821 .227.315.377.692 .150.301 2910 .310 95 -42 +19 -31 +28 +224 20.3
/ 162G 650571 12921419 661888 112 .226.315.377.691 .151.300 2910 .310 95 -3 +1 -3 +2 +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
202417 ROKDSL Cubs Red 7461 5300 11342 93 .082.243.131.374 .049.185 4615 .200 11 -7 +1 +2 -0.5

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
Axel Mancebo (OGILVIE) 19 .196/.261/.282 .086.291 11 33% 7% 49 -0.2
Yonathan Perlaza
2018 · A
19 40→50 37→60 48→50 37 .195/.235/.273 .078.279 412 31% 5% 34 -2.8 .213/.257/.285 .072.313 49 31% 6% 46 -2.0 .235/.307/.417.182.303191228%9%100+1.6
Dylan Carlson
2018 · A
19 41→51 40→55 43→50 42 .199/.266/.292 .092.292 86 33% 7% 54 -1.4 .216/.284/.350 .134.284 149 28% 8% 77 +0.1 .242/.327/.396.154.29614422%9%105+1.6
Elly De La Cruz
2021 · A
19 44→54 37→60 42→65 37 .205/.258/.279 .074.313 46 34% 6% 46 -2.0 .226/.270/.389 .163.347 1622 37% 5% 80 +0.4 .249/.324/.437.188.339194430%9%108+2.5
Adalberto Mondesi
2014 · A
19 42→52 38→60 51→65 36 .205/.241/.276 .071.288 613 30% 4% 37 -2.6 .198/.229/.299 .101.284 919 32% 4% 39 -2.5 .248/.279/.427.179.328194930%4%92+0.9
Tim Beckham
2009 · A
19 42→52 38→55 49→50 38 .202/.248/.282 .080.290 57 31% 5% 43 -2.2 .219/.267/.307 .088.310 510 29% 5% 57 -1.2 .248/.301/.421.173.31922428%6%100+1.3
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
Jackson Merrill
2022 · A
19 45→55 36→55 52→50 39 .211/.260/.286 .076.314 39 32% 6% 48 -1.9 .251/.293/.383 .132.306 1312 22% 5% 88 +0.9 .266/.310/.441.174.301191018%6%107+1.9
Andres Regnault
2018 · A
19 39 38→55 47→45 39 .185/.251/.256 .071.289 66 36% 7% 39 -2.5 .226/.287/.352 .126.291 137 26% 6% 79 +0.3 .248/.309/.417.169.29019621%6%103+0.7
Oneil Cruz
2018 · A
19 41→51 41→60 45→55 35 .200/.243/.293 .093.310 89 37% 5% 43 -2.2 .217/.257/.339 .122.316 1210 34% 5% 62 -0.9 .241/.304/.442.201.317252231%8%103+1.7
Lane Thomas
2015 · A
19 45→51 37→55 51→55 43 .210/.271/.289 .080.308 39 31% 8% 54 -1.4 .192/.258/.279 .087.311 612 37% 8% 47 -1.9 .248/.312/.427.179.308211325%7%107+2.0
Ronny Simon
2019 · A
19 42→52 37→50 47→55 44 .198/.272/.274 .076.278 310 28% 7% 52 -1.6 .213/.274/.337 .124.274 914 24% 7% 69 -0.4 .239/.300/.355.117.301112723%7%81+0.4
Wilin Rosario
2008 · A
19 39→49 37→60 45 35 .189/.235/.257 .068.297 66 37% 5% 31 -3.0 .219/.259/.344 .125.302 145 31% 5% 64 -0.8 .265/.302/.457.192.30126421%5%107+1.6
Niko Goodrum
2012 · A
20 41→51 36→55 50→55 37 .192/.244/.259 .067.299 39 35% 6% 35 -2.8 .207/.272/.294 .087.306 512 31% 8% 56 -1.3 .231/.306/.406.174.310181630%9%97+1.0
Blake Perkins
2016 · A
19 39→49 36→50 44→55 39 .189/.235/.256 .068.262 47 29% 5% 30 -3.1 .201/.259/.277 .076.280 512 28% 7% 46 -2.0 .228/.311/.359.130.302132527%10%87+0.5
Alex Liddi
2008 · A
19 41→51 41→60 47→50 36 .200/.246/.304 .104.297 87 34% 5% 48 -1.9 .229/.277/.361 .132.323 128 31% 6% 76 +0.1 .241/.296/.424.182.33620533%6%99+1.7
Maikel Franco
2012 · A
19 36→46 38→55 48→40 37 .180/.226/.261 .081.253 64 30% 5% 28 -3.2 .239/.273/.382 .143.277 163 20% 4% 80 +0.4 .263/.299/.434.171.29019217%4%100+1.6
Brendan Rodgers
2016 · A
19 43→53 40→50 46→45 39 .205/.255/.298 .093.301 77 33% 6% 50 -1.8 .224/.267/.352 .128.288 145 27% 4% 69 -0.4 .253/.308/.383.131.29813019%6%93+0.8
Amed Rosario
2015 · A
19 39→49 40→50 43→55 36 .196/.231/.287 .092.270 75 30% 4% 37 -2.7 .236/.274/.327 .091.314 412 25% 4% 64 -0.8 .286/.323/.422.136.344121420%5%107+1.7
Marwin Gonzalez
2008 · A
19 41→51 41→55 43→50 41 .201/.247/.302 .102.265 85 27% 6% 47 -1.9 .210/.246/.283 .073.267 47 22% 4% 41 -2.3 .272/.342/.450.178.32021421%9%121+2.7
Harold Garcia
2006 · A
19 44→54 37→45 49→55 41 .204/.273/.286 .081.296 310 30% 6% 56 -1.3 .219/.299/.316 .097.281 611 23% 6% 75 -0.0 .250/.302/.360.110.33382626%4%85+0.4