Erick LugoSS DSL Tampa Bay
Age 19 R/R 6'0" / 165 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 3.0 · 2033
wRC+†56
AVG/OBP/SLG.204 / .269 / .295
PA87
HR1
K%30
BB%7
MLB%0%
BAT: -4.3 runs (wOBA-derived runs vs avg)-4BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +2.5 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
3.0peak
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+2.8$27M+$26M
2033Ext / FA-deal$1.0M+3.0$30M+$29M
2034Ext / FA-deal$1.0M+3.0$30M+$29M
2035Ext / FA-deal$6M+2.9$30M+$24M
2036Ext / FA-deal$9M+2.7$29M+$20M
2037Ext / FA-deal$12M+2.4$27M+$15M
Totals $30M $173M +$143M

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 Rays 5246 9200 4212 10 .196.288.239.528 .043.360 408 .248 48 -3 +0 +0 +1 +1 -0.1
202518 ROKDSL Tampa Bay 10089 15400 6292 00 .169.237.213.451 .045.242 296 .211 20 -9 +0 +0 +1 +3 -0.5
▸ 2026 Season
202619 MLBTB 8780 17311 6261 10 .212.276.312.588 .100.290 307 .259 56 -4 +0 +0 +1 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%TB 177159 35614 14502 31 .220.291.346.637 .126.298 288 .288 78 -4 +0 +0 +2 +5 0.3
202821 MLB 28%TB 314279 641128 28864 71 .229.309.369.678 .140.299 279 .302 89 -4 +1 +0 +3 +9 1.0
202922 MLB 48%TB 415369 8615311 381105 102 .233.313.379.693 .146.299 279 .311 96 -2 +1 +0 +4 +12 1.6
203023 MLB 65%TB 482428 10218314 451256 112 .238.319.393.712 .154.300 269 .318 101 +1 +1 +0 +5 +14 2.1
203124 MLB 82%TB 526463 11119316 511357 132 .240.324.397.722 .158.300 2610 .322 105 +3 +2 +0 +6 +15 2.6
203225 MLBTB 553486 11820417 551417 133 .243.328.405.734 .163.301 2510 .325 107 +4 +1 +0 +6 +16 2.8
203326 MLBTB 567498 12121418 571447 142 .243.329.410.739 .167.301 2510 .327 108 +5 +2 +0 +6 +16 3.0
203427 MLBTB 571501 12221418 581467 132 .244.330.409.740 .166.301 2610 .327 108 +5 +2 +0 +6 +16 3.0
203528 MLBTB 569498 12020418 591477 132 .241.330.406.735 .165.301 2610 .326 108 +5 +2 -1 +6 +16 2.9
203629 MLBTB 561491 11720317 581467 111 .238.327.395.722 .157.300 2610 .324 106 +4 +2 -1 +6 +16 2.7
203730 MLBTB 552483 11319316 571467 101 .234.324.385.709 .151.299 2610 .321 104 +2 +2 -2 +6 +16 2.4
203831 MLBTB 538471 11019316 561446 70 .234.323.389.711 .155.297 2710 .317 101 +0 +1 -3 +6 +15 2.0
203932 MLBTB 520455 10518315 541426 50 .231.320.382.703 .152.296 2710 .312 97 -2 +1 -4 +6 +15 1.6
204033 MLBTB 491432 9716313 501376 30 .225.314.366.679 .141.294 2810 .307 93 -4 +1 -4 +5 +14 1.2
204134 MLBTB 444391 8514211 451285 10 .217.306.348.654 .130.293 2910 .300 88 -6 +0 -5 +5 +13 0.7
204235 MLBTB 390344 731229 391164 00 .212.300.337.637 .125.291 3010 .292 82 -8 +0 -6 +4 +11 0.2
204336 MLBTB 330290 611027 331024 00 .210.300.331.631 .121.288 3110 .284 75 -9 +0 -6 +4 +9 -0.3
204437 MLBTB 266235 46715 26853 00 .196.284.298.582 .102.284 3210 .274 68 -10 +0 -7 +3 +8 -0.6
▸ Career Totals (MLE all levels + projections)
Career 85057488 172729551234 8392306105 13619 .231.317.377.694 .147.299 2710 .311 96 -35 +20 -38 +91 +241 28.4
/ 162G 650572 13323418 641768 101 .233.318.381.699 .149.302 2710 .311 96 -3 +2 -3 +7 +18 2.2

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
202417 ROKDSL Rays 5244 14400 6152 10 .318.423.409.832 .091.483 2912 .382 150 +3 +0 +1 0.5
202518 ROKDSL Tampa Bay 10085 22600 10202 00 .259.351.329.680 .071.328 2010 .306 93 -1 +0 +3 0.2

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
Erick Lugo (OGILVIE) 19 .204/.269/.295 .091.290 11 30% 7% 56 -0.2
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
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
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
Renato Núñez
2013 · A
19 44→51 43→60 48→30 38 .215/.262/.330 .115.285 95 27% 4% 61 -1.0 .213/.253/.351 .138.277 173 29% 4% 64 -0.8 .238/.308/.452.215.27831126%7%111+1.7
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
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
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
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
Derek Norris
2009 · A
20 40→50 42→55 49→50 43 .194/.269/.300 .106.295 96 35% 9% 58 -1.2 .209/.301/.372 .163.281 206 31% 11% 91 +1.1 .254/.332/.403.149.31115522%10%106+1.6
Samad Taylor
2017 · A
19 45→53 38→50 50→65 42 .214/.267/.294 .079.292 59 27% 6% 53 -1.5 .194/.259/.286 .092.272 618 29% 7% 50 -1.8 .236/.312/.377.141.324164630%9%94+0.8
Davis Schneider
2018 · A
19 40→44 41→55 48→50 50 .198/.276/.300 .102.259 86 26% 9% 60 -1.0 .193/.268/.290 .097.299 87 35% 8% 54 -1.4 .213/.322/.409.196.27524930%12%106+1.6
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
Aaron Altherr
2010 · A
19 42→51 38→55 51→50 43 .201/.253/.279 .078.267 511 26% 6% 44 -2.1 .200/.241/.279 .079.282 616 30% 4% 38 -2.6 .244/.318/.420.176.303171424%8%104+1.5
Thairo Estrada
2016 · A
20 44→54 39→50 48→55 41 .211/.264/.302 .090.275 58 24% 5% 55 -1.4 .255/.297/.344 .089.303 89 18% 5% 79 +0.3 .270/.326/.420.150.314172119%5%108+1.8
Jackson Chourio
2022 · A
18 44→54 42→55 49→55 45 .217/.279/.319 .102.277 1010 25% 7% 66 -0.6 .233/.280/.389 .156.311 1819 30% 6% 85 +0.7 .261/.307/.430.168.314192623%6%101+1.8
Travis d'Arnaud
2008 · A
19 41→51 41→60 47→45 38 .203/.244/.295 .091.254 108 24% 4% 44 -2.1 .210/.253/.324 .114.254 116 22% 4% 56 -1.3 .260/.320/.458.198.29127120%7%116+1.5
Jamie Westbrook
2014 · A
19 45→52 39→55 50→45 43 .213/.267/.306 .093.280 46 25% 6% 56 -1.3 .230/.270/.337 .107.280 97 21% 4% 66 -0.6 .245/.316/.386.141.28815420%8%96+1.1
Vaughn Grissom
2021 · A
20 44→54 39→50 51→55 44 .214/.271/.302 .088.272 76 23% 6% 58 -1.2 .265/.329/.388 .123.318 1115 19% 7% 105 +2.1 .283/.348/.417.134.334121718%7%116+2.4
Ronarsy Ledesma
2012 · A
19 42 42→45 47→50 43 .205/.277/.309 .104.271 98 27% 6% 64 -0.8 .224/.284/.326 .102.290 511 24% 5% 70 -0.3 .226/.280/.337.111.29161123%4%69-0.2
Eloy Jiménez
2016 · A
19 40→50 40→65 49→40 39 .197/.240/.291 .094.269 77 29% 5% 41 -2.3 .251/.286/.404 .153.321 164 26% 4% 91 +1.1 .273/.314/.492.219.31430023%5%125+2.3