Optiel ColinaIF DSL Angels
Age 20 R/R 6'2" / 180 lbs ROK HR -5% Svc 0.0 · Ctrl thru 2037 peak 1.6 · 2032
wRC+†57
AVG/OBP/SLG.202 / .269 / .296
PA45
HR1
K%31
BB%7
MLB%0%
BAT: -2.2 runs (wOBA-derived runs vs avg)-2BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.0 runs (Positional adjustment)+0POSREP: +1.3 runs (Replacement-level credit)+1REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
1.6peak
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+1.6$15M+$14M
2033Ext / FA-deal$1.0M+1.6$16M+$15M
2034Ext / FA-deal$1.0M+1.5$15M+$14M
2035Ext / FA-deal$3M+1.3$14M+$11M
2036Ext / FA-deal$4M+1.1$12M+$8M
2037Ext / FA-deal$4M+0.8$4M+$0.5M
Totals $13M $76M +$63M

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
202317 ROKDSL Angels 7458 7110 10345 50 .121.301.172.474 .052.280 4614 .220 27 -6 +1 +0 +0 +2 -0.3
202418 ROKDSL Angels 4938 5000 5225 41 .132.312.132.444 .000.312 4510 .199 11 -5 +0 +0 +0 +1 -0.3
▸ 2026 Season
202620 MLBLAA 4542 8101 3140 10 .190.244.286.530 .095.290 317 .259 57 -2 +0 +0 +0 +1 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%LAA 116105 22412 9341 20 .210.278.324.602 .114.293 298 .283 74 -3 +0 +0 +0 +3 0.0
202822 MLB 28%LAA 261233 52926 23743 51 .223.301.356.657 .133.294 289 .297 85 -4 +1 +0 +0 +7 0.4
202923 MLB 48%LAA 365325 7413210 331004 71 .228.307.372.679 .145.295 279 .306 92 -3 +1 +0 +0 +10 0.8
203024 MLB 62%LAA 436388 9015313 401185 92 .232.312.387.698 .155.295 279 .311 96 -2 +1 +0 +0 +12 1.2
203125 MLB 80%LAA 478424 9817314 451296 102 .231.314.384.698 .153.296 279 .314 99 -1 +1 +0 +0 +14 1.4
203226 MLB 94%LAA 502443 10318315 481356 102 .233.316.388.704 .156.297 2710 .316 100 -0 +1 +0 +0 +14 1.6
203327 MLBLAA 514453 10618316 501396 102 .234.318.393.711 .159.297 2710 .316 100 +0 +1 +0 +0 +15 1.6
203428 MLBLAA 516454 10518315 511406 91 .231.317.383.700 .152.296 2710 .315 99 -0 +1 -1 +0 +15 1.5
203529 MLBLAA 511449 10317315 511406 81 .229.316.381.697 .151.295 2710 .313 98 -1 +1 -1 +0 +14 1.3
203630 MLBLAA 503442 10017314 501406 70 .226.313.373.687 .147.294 2810 .310 95 -3 +1 -2 +0 +14 1.1
203731 MLBLAA 491433 9716314 491396 40 .224.311.372.683 .148.293 2810 .306 92 -4 +1 -3 +0 +14 0.8
203832 MLBLAA 474419 9215313 471365 20 .220.306.363.669 .143.291 2910 .301 89 -6 +0 -4 +0 +13 0.4
203933 MLBLAA 445393 8514311 441315 00 .216.303.351.654 .135.289 2910 .296 84 -8 +0 -4 +0 +13 0.1
204034 MLBLAA 400354 7512210 391214 00 .212.297.342.639 .130.288 3010 .289 80 -9 +0 -5 +0 +11 -0.3
▸ Career Totals (MLE all levels + projections)
Career 61805453 122220538169 597174679 9313 .224.310.369.678 .145.295 2810 .305 92 -59 +13 -20 +0 +175 11.2
/ 162G 650574 12922418 631848 101 .225.310.371.681 .146.296 2810 .305 92 -6 +2 -2 +0 +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
202317 ROKDSL Angels 7451 9110 17245 50 .176.425.235.660 .059.321 3223 .335 114 +1 +1 +2 0.4
202418 ROKDSL Angels 4935 6000 8165 41 .171.396.171.567 .000.316 3316 .300 88 -1 +0 +1 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
Optiel Colina (OGILVIE) 20 .202/.269/.296 .094.290 11 31% 7% 57 -0.1
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
Austin Dean
2014 · A
20 41→51 40→55 45 45 .197/.269/.289 .093.270 76 28% 8% 55 -1.4 .229/.274/.325 .096.288 76 22% 5% 65 -0.7 .257/.302/.413.156.30417421%5%96+1.1
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
Christopher Morel
2019 · A
20 38→46 41→60 46→50 45 .191/.255/.285 .094.243 913 25% 7% 47 -1.9 .204/.250/.320 .116.282 1111 31% 5% 53 -1.5 .224/.302/.431.208.280281030%9%102+1.8
Rainel Rosario
2009 · A
20 36→46 40→50 45→50 39 .176/.248/.268 .092.289 79 39% 7% 40 -2.4 .205/.272/.319 .114.308 99 34% 7% 64 -0.8 .253/.308/.402.150.28519618%7%96+1.1
Bryan De La Cruz
2017 · A
20 42→52 37→55 43→45 42 .197/.261/.267 .071.293 55 33% 7% 45 -2.1 .218/.272/.304 .086.308 57 29% 6% 58 -1.2 .256/.303/.416.160.31419424%6%99+1.4
Joe Benson
2008 · A
20 45→50 40→60 46→50 41 .213/.277/.310 .097.303 611 30% 6% 63 -0.9 .219/.290/.341 .122.316 1014 32% 7% 77 +0.1 .231/.309/.414.183.319191532%8%101+1.4
Brian Sanchez
2016 · A
20 38 41→60 47→45 34 .187/.243/.288 .102.298 98 38% 5% 43 -2.2 .202/.260/.333 .131.304 144 36% 6% 62 -0.9 .203/.267/.358.155.29218035%7%70-0.1
Moisés Sierra
2009 · A
20 41→51 41→50 46→50 36 .202/.247/.296 .095.277 99 30% 4% 46 -2.0 .235/.283/.338 .103.304 99 25% 5% 72 -0.2 .250/.316/.378.129.306141522%7%94+1.0
Juan Yepez
2018 · A
20 45→49 41→60 47→45 38 .218/.258/.317 .098.296 86 28% 5% 56 -1.3 .222/.267/.329 .107.296 97 27% 5% 63 -0.8 .227/.287/.428.201.26028125%7%96+1.0
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
Yunior Garcia
2021 · A
20 38→48 43→50 49→30 35 .190/.240/.297 .107.288 108 36% 5% 44 -2.1 .222/.272/.336 .114.325 114 33% 5% 68 -0.5 .227/.278/.348.120.32013232%5%69-0.2
Oscar Gonzalez
2018 · A
20 37→47 42→60 47→40 32 .185/.227/.291 .106.298 105 40% 5% 36 -2.7 .237/.258/.341 .104.316 115 28% 3% 62 -0.9 .259/.288/.437.177.31222124%3%97+1.4
Jose Siri
2015 · A
20 43→52 40→60 54→55 37 .207/.252/.306 .099.291 715 30% 5% 50 -1.7 .193/.224/.305 .112.303 916 38% 3% 38 -2.6 .227/.276/.431.204.317272536%5%92+0.8
Michael Hermosillo
2015 · A
20 43→46 39→55 51→55 43 .202/.272/.294 .091.295 610 32% 8% 56 -1.3 .215/.291/.292 .077.284 516 24% 8% 64 -0.8 .226/.298/.346.121.305122028%7%80+0.2
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
Eddys Leonard
2021 · A
20 42→46 40→50 46→45 45 .200/.274/.295 .095.288 79 31% 8% 59 -1.1 .227/.293/.378 .151.302 175 29% 7% 89 +0.9 .224/.290/.376.152.29017428%6%83+0.5
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 Bonifacio
2013 · A
20 45→50 42→55 47→45 40 .219/.262/.331 .113.289 97 27% 5% 62 -0.9 .216/.264/.316 .100.292 85 27% 6% 58 -1.2 .237/.304/.388.151.31017328%8%91+0.8
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