Miguel TamaresSS FCL Rays
Age 21 S/R 5'10" / 150 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 1.6 · 2032
wRC+†56
AVG/OBP/SLG.200 / .269 / .293
PA75
HR1
K%31
BB%8
MLB%0%
BAT: -3.8 runs (wOBA-derived runs vs avg)-4BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.8 runs (Positional adjustment)+1POSREP: +2.1 runs (Replacement-level credit)+2REPTotal 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+1.5$15M+$14M
2034Ext / FA-deal$1.0M+1.3$13M+$12M
2035Ext / FA-deal$2M+1.1$11M+$9M
2036Ext / FA-deal$3M+0.8$4M+$2M
2037Ext / FA-deal$2M+0.5$3M+$0.3M
Totals $10M $62M +$52M

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
202217 ROKDSL Rays 225192 29432 27745 309 .151.272.234.507 .083.233 3312 .238 40 -15 +2 +0 +2 +6 -0.4
202318 ROKFCL Rays 5953 6101 5261 50 .113.203.189.392 .075.192 448 .162 -18 -8 +1 +0 +1 +2 -0.5
202419 ROKFCL Rays 157135 17110 17625 143 .126.248.148.397 .022.233 3911 .194 7 -17 +2 +0 +2 +4 -0.9
▸ 2026 Season
202621 MLBTB 7568 13201 6231 10 .191.267.265.531 .074.287 318 .258 56 -4 +0 +0 +1 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%TB 119107 23412 10351 20 .215.288.327.615 .112.289 298 .278 71 -4 +0 +0 +1 +3 0.1
202823 MLB 28%TB 255228 51926 22723 51 .224.300.360.660 .136.291 289 .291 81 -6 +1 +0 +3 +7 0.5
202924 MLB 45%TB 353315 701229 31984 61 .222.300.359.659 .137.292 289 .299 87 -5 +1 +0 +4 +10 1.0
203025 MLB 60%TB 414369 8415311 371145 81 .228.307.374.681 .146.293 289 .304 91 -4 +1 +0 +4 +12 1.3
203126 MLB 77%TB 451402 9216313 411245 82 .229.308.381.689 .152.293 279 .306 93 -4 +1 +0 +5 +13 1.5
203227 MLB 92%TB 470419 9517313 431305 81 .227.306.375.681 .148.293 289 .306 93 -4 +1 +0 +5 +13 1.6
203328 MLBTB 478425 9617313 451335 81 .226.307.372.679 .146.293 289 .305 92 -4 +1 -1 +5 +14 1.5
203429 MLBTB 476423 9416313 451335 71 .222.304.366.671 .144.292 289 .303 90 -5 +1 -1 +5 +13 1.3
203530 MLBTB 470418 9316313 441335 60 .222.304.368.672 .146.291 289 .300 88 -7 +1 -2 +5 +13 1.1
203631 MLBTB 459408 8915312 431325 30 .218.300.358.658 .140.289 299 .296 85 -8 +1 -3 +5 +13 0.8
203732 MLBTB 443394 8515211 411305 10 .216.298.348.645 .132.287 299 .291 81 -9 +0 -4 +5 +13 0.5
203833 MLBTB 414369 7713210 381244 00 .209.290.336.626 .127.286 309 .286 77 -11 +0 -4 +4 +12 0.1
203934 MLBTB 369328 671128 341144 00 .204.287.323.610 .119.284 319 .280 72 -12 +0 -5 +4 +10 -0.2
204035 MLBTB 317282 57927 291013 00 .202.283.323.606 .121.282 329 .272 66 -12 +0 -6 +3 +9 -0.5
▸ Career Totals (MLE all levels + projections)
Career 60045335 113819338145 558175871 11220 .213.296.345.642 .132.287 299 .289 80 -138 +14 -25 +64 +170 8.7
/ 162G 650578 12321416 601908 122 .213.296.346.642 .133.285 299 .289 80 -15 +2 -3 +7 +18 0.9

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
202217 ROKDSL Rays 225168 34633 51505 309 .202.402.327.729 .125.270 2223 .346 123 +6 +2 +6 1.5
202318 ROKFCL Rays 5951 8101 7181 50 .157.271.235.506 .078.219 3112 .244 45 -4 +1 +2 -0.1
202419 ROKFCL Rays 157124 25220 28425 143 .202.369.250.619 .048.305 2718 .306 92 -1 +2 +4 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
Miguel Tamares (OGILVIE) 21 .200/.269/.293 .093.287 11 31% 8% 56 -0.2
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
Blake Perkins
2018 · A
21 42→52 40→50 51→55 43 .206/.261/.296 .090.274 814 27% 6% 52 -1.6 .202/.269/.286 .084.291 717 30% 8% 53 -1.5 .228/.311/.359.130.302132527%10%87+0.5
Parker Meadows
2021 · A
21 40→47 41→55 46→55 42 .197/.253/.288 .091.267 99 29% 7% 47 -1.9 .203/.263/.335 .132.270 1412 29% 7% 64 -0.8 .225/.292/.400.175.278202126%8%91+1.1
Isiah Gilliam
2017 · A
21 40→46 44→55 47→55 38 .200/.247/.314 .113.281 115 32% 5% 51 -1.7 .201/.252/.327 .126.299 136 36% 6% 57 -1.2 .217/.299/.399.182.339231940%10%92+0.7
Jon Del Campo
2009 · A
21 45 38→45 48→55 42 .211/.269/.296 .085.311 56 32% 7% 56 -1.3 .203/.238/.284 .081.270 47 25% 4% 38 -2.6 .267/.300/.379.112.337121824%3%90+0.6
Miguel Gómez
2014 · A
21 44→54 39→50 49→40 39 .208/.259/.302 .093.293 55 30% 5% 53 -1.5 .237/.275/.349 .112.290 104 21% 4% 72 -0.2 .271/.288/.403.133.30514116%2%87+0.6
Max Moroff
2014 · A
21 41→51 40→50 43→50 46 .201/.264/.291 .090.263 88 26% 8% 52 -1.6 .217/.279/.307 .090.309 611 29% 8% 63 -0.9 .230/.309/.353.123.307121027%10%85+0.6
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
Jose Lobatón
2006 · A
21 45 39→45 50→30 46 .215/.277/.302 .088.284 68 25% 8% 60 -1.0 .215/.286/.335 .120.300 123 30% 9% 73 -0.1 .241/.325/.370.129.30512023%11%94+0.6
David Bote
2014 · A
21 40→48 39→55 47→45 47 .191/.269/.278 .087.263 67 28% 9% 52 -1.6 .204/.273/.294 .090.273 66 26% 7% 57 -1.2 .234/.308/.397.164.29819627%8%95+1.0
Addison Barger
2021 · A
21 39→46 39→55 49→45 44 .191/.262/.281 .090.258 65 27% 7% 50 -1.8 .216/.278/.376 .160.319 197 36% 7% 81 +0.4 .220/.291/.385.165.27218625%8%84+0.5
Bo Naylor
2021 · A
21 41→43 44→55 50 43 .203/.259/.325 .122.273 117 29% 7% 59 -1.1 .199/.278/.352 .153.276 1812 33% 9% 75 -0.0 .216/.308/.399.183.269221228%11%97+1.2
Tucker Mitchell
2022 · A
21 43 39→50 51→45 39 .202/.262/.293 .090.301 67 33% 6% 52 -1.6 .193/.267/.305 .112.296 138 37% 7% 59 -1.1 .178/.253/.291.113.25315734%7%47-0.8
C.J. Beatty
2010 · A
21 41 41→50 51→40 41 .201/.256/.299 .098.284 99 31% 7% 51 -1.7 .211/.273/.328 .117.294 105 29% 8% 66 -0.6 .207/.273/.340.134.28111229%8%65-0.4
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
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
Daniel Schneemann
2019 · A
22 39→49 40→50 50 43 .189/.254/.283 .094.277 76 33% 8% 46 -2.0 .211/.272/.298 .087.290 78 28% 7% 57 -1.2 .226/.305/.377.151.297151328%10%89+0.7
Riley Unroe
2017 · A
21 41→47 36→45 45→55 44 .195/.257/.255 .059.270 411 28% 7% 40 -2.4 .196/.263/.271 .075.285 612 31% 8% 46 -2.0 .221/.306/.342.121.297132628%10%80+0.2
Jose Marquez
2019 · A
21 42 41→50 48→50 39 .208/.253/.311 .103.277 87 28% 5% 53 -1.5 .212/.261/.315 .103.306 98 32% 5% 57 -1.2 .133/.203/.225.093.206161243%7%8-0.8
Keon Broxton
2011 · A
21 38→48 41→55 53→60 36 .184/.238/.293 .109.299 710 39% 6% 41 -2.3 .196/.253/.296 .100.314 915 38% 7% 49 -1.8 .225/.301/.390.165.341173836%9%92+1.0