Omar BustamanteC DSL Tigers 1
Age 20 R/R 6'0" / 178 lbs ROK HR +5%H +3% Svc 0.0 · Ctrl thru 2037 peak 2.5 · 2032
wRC+†53
AVG/OBP/SLG.201 / .265 / .290
PA79
HR1
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: +1.4 runs (Positional adjustment)+1POSREP: +2.2 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
2.5peak
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+2.5$24M+$23M
2033Ext / FA-deal$1.0M+2.5$25M+$24M
2034Ext / FA-deal$1.0M+2.4$24M+$23M
2035Ext / FA-deal$4M+2.2$23M+$19M
2036Ext / FA-deal$6M+2.0$22M+$15M
2037Ext / FA-deal$7M+1.6$18M+$10M
Totals $21M $135M +$114M

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
202519 ROKDSL Tigers 1 8880 8110 5301 11 .100.163.138.300 .038.157 346 .139 -35 -13 -0 +0 +2 +2 -1.0
▸ 2026 Season
202620 MLBDET 7972 16311 6241 10 .222.291.333.624 .111.289 308 .255 53 -4 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%DET 166150 32613 13482 31 .213.285.327.612 .113.292 298 .279 72 -5 +0 +0 +3 +5 0.3
202822 MLB 28%DET 300269 601027 25843 61 .223.296.353.649 .130.294 288 .294 83 -6 +1 +0 +5 +8 0.9
202923 MLB 48%DET 392351 8014310 341074 71 .228.303.370.674 .142.294 279 .303 90 -4 +1 +0 +7 +11 1.5
203024 MLB 62%DET 455406 9416313 411225 92 .232.310.382.692 .150.295 279 .309 95 -3 +1 +0 +8 +13 2.0
203125 MLB 80%DET 491438 10117314 451315 92 .231.309.379.688 .148.296 279 .312 97 -2 +1 +0 +9 +14 2.3
203226 MLB 94%DET 512453 10618415 481366 102 .234.316.391.706 .157.296 279 .314 99 -1 +1 +0 +9 +15 2.5
203327 MLBDET 520459 10718415 501396 102 .233.317.388.704 .155.296 2710 .314 99 -1 +1 +0 +9 +15 2.5
203428 MLBDET 520459 10618315 501406 91 .231.315.381.696 .150.296 2710 .313 98 -1 +1 -1 +9 +15 2.4
203529 MLBDET 515455 10518315 501405 81 .231.314.382.696 .152.295 2710 .311 96 -2 +1 -1 +9 +15 2.2
203630 MLBDET 507448 10117314 491405 70 .225.309.371.679 .145.294 2810 .308 94 -4 +1 -2 +9 +14 2.0
203731 MLBDET 479425 9516313 461345 40 .224.307.367.674 .144.292 2810 .304 91 -5 +1 -3 +9 +14 1.6
203832 MLBDET 447397 8815312 431274 20 .222.304.365.669 .144.291 2810 .299 87 -6 +0 -4 +8 +13 1.1
203933 MLBDET 407361 7813210 391194 00 .216.300.346.646 .130.289 2910 .294 83 -8 +0 -4 +7 +12 0.7
204034 MLBDET 354314 661128 341063 00 .210.293.334.628 .124.287 3010 .288 78 -9 +0 -5 +6 +10 0.3
204135 MLBDET 296263 55927 28923 00 .209.293.338.631 .129.285 319 .280 72 -9 +0 -6 +5 +8 -0.1
204236 MLBDET 238212 42715 22762 00 .198.280.311.591 .113.282 329 .271 66 -9 +0 -6 +4 +7 -0.5
▸ Career Totals (MLE all levels + projections)
Career 67666012 134022744177 628189570 8614 .223.304.364.667 .141.293 289 .300 88 -92 +12 -31 +121 +192 20.5
/ 162G 650578 12922417 601827 81 .223.304.363.667 .140.293 289 .300 88 -9 +1 -3 +12 +18 2.0

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
202519 ROKDSL Tigers 1 8876 11210 9201 11 .145.244.197.442 .053.193 2310 .210 19 -8 -0 +2 -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
Omar Bustamante (OGILVIE) 20 .201/.265/.290 .089.289 11 31% 7% 53 -0.2
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
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
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
Agustín Ramírez
2021 · A
19 40→45 41→55 46→50 40 .199/.248/.293 .095.266 85 28% 5% 46 -2.0 .208/.268/.334 .126.284 138 30% 7% 66 -0.6 .230/.293/.405.176.264221622%7%92+1.1
Tyler Stephenson
2017 · A
20 41→51 38→50 43→30 39 .197/.249/.277 .080.290 63 33% 6% 42 -2.3 .216/.283/.315 .099.290 93 27% 7% 67 -0.5 .253/.327/.399.146.32316125%9%102+1.3
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
Pedro Severino
2012 · A
19 38→48 39→50 49→45 40 .187/.241/.272 .084.263 65 30% 6% 37 -2.6 .189/.233/.264 .075.239 53 22% 4% 31 -3.0 .246/.315/.384.137.30417324%8%95+0.7
Emmanuel Rivera
2017 · A
21 40→50 37→55 49→45 43 .190/.250/.266 .075.266 310 28% 7% 40 -2.4 .234/.273/.341 .107.295 96 23% 4% 68 -0.5 .246/.303/.412.166.29319422%7%97+1.1
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
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
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
Yairo Muñoz
2015 · A
20 41→51 38→50 48→55 42 .195/.251/.276 .081.262 47 26% 6% 43 -2.2 .218/.254/.321 .103.267 109 22% 4% 56 -1.3 .270/.315/.386.116.325111820%5%92+0.6
Michael Wing
2009 · A
20 45→53 39→55 50→40 39 .213/.258/.303 .090.291 56 28% 5% 52 -1.6 .230/.279/.345 .115.304 94 26% 6% 72 -0.2 .244/.285/.411.167.30419326%4%91+0.7
Christian Vázquez
2011 · A
20 43→53 36→50 47→45 40 .204/.251/.267 .063.281 45 28% 5% 40 -2.4 .221/.274/.341 .120.280 134 25% 6% 70 -0.3 .263/.314/.411.148.30118819%7%101+1.2
Brandon Barnes
2006 · A
20 38→48 38→55 47→50 37 .187/.241/.269 .081.271 67 32% 5% 37 -2.7 .181/.227/.256 .075.277 57 34% 5% 27 -3.3 .244/.289/.369.125.331121629%5%80+0.3
Chris Nelson
2006 · A
20 41→51 38→50 47→50 36 .199/.245/.279 .080.293 68 33% 5% 40 -2.4 .216/.262/.340 .124.278 1111 26% 5% 64 -0.8 .257/.301/.387.130.31113721%5%87+0.6
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
Peter Bourjos
2007 · A
20 45→55 41→55 52→60 36 .213/.257/.319 .106.318 711 34% 5% 56 -1.3 .233/.274/.346 .113.308 822 26% 5% 70 -0.3 .250/.299/.403.153.305122822%5%94+1.2
Jorge Alfaro
2013 · A
20 41→51 40→50 48→50 31 .196/.241/.295 .099.310 67 38% 3% 43 -2.2 .207/.258/.343 .136.301 149 35% 4% 64 -0.8 .259/.315/.406.147.38019635%5%97+0.8
Devin Mesoraco
2008 · A
20 41→51 36→60 50→40 43 .197/.256/.263 .066.263 46 26% 6% 42 -2.3 .215/.267/.335 .120.277 133 26% 6% 66 -0.6 .241/.331/.442.201.27526122%9%113+1.4