Matthew LugoLF Rocket City Trash Pandas
INJURED · Reassigned to Minors (RM)
Age 25 R/R 6'0" / 190 lbs AA HR -5% Svc 1.000 · Ctrl thru 2030 peak 0.9 · 2028
wRC+†80
AVG/OBP/SLG.214 / .266 / .388
PA152
HR6
SB6
K%36
BB%5
MLB%55%
BAT: -3.5 runs (wOBA-derived runs vs avg)-4BATRUN: +1.8 runs (SB/CS + UBR baserunning)+2RUNFLD: -1.0 runs (Defensive runs vs avg)-1FLDPOS: +0.5 runs (Positional adjustment)+1POSREP: +4.3 runs (Replacement-level credit)+4REPTotal WAR: +0.20+0.2WAR
Scouting · nowfuture
HIT
4545
PWR
5555
SPD
5050
EYE
4235
trajectory · 10 yrs
0.7peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2025
Service   1.000 yrs.days
Team Control Through   2030
First FA Year   2031
YearStatusSalary Proj WAR Value Surplus
2026Pre-Arb$0.8M+0.2$0.8M+$0.0M
2027Pre-Arb$0.8M+0.8$3M+$2M
2028Arb-1$2M+0.9$4M+$2M
2029Arb-2$3M+0.8$3M+$0.6M
2030Arb-3$4M+0.6$3M+$0.0M (cut)
Totals $9M $14M +$5M

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
201918 ROKGCL Red Sox 157142 25311 9523 30 .176.240.232.473 .056.267 336 .208 17 -15 +1 +0 +1 +4 -0.9
202120 ASalem Red Sox 469432 1001634 241307 154 .231.283.310.593 .079.317 285 .259 56 -23 +1 +0 +2 +13 -0.7
202221 A+2 teams 652606 14124920 2715613 2210 .233.280.401.681 .168.278 244 .286 77 -17 +0 +0 +2 +18 0.4
202322 AAPortland Sea Dogs 322299 601714 131145 84 .201.246.304.550 .104.303 354 .239 41 -21 +0 +0 +1 +9 -1.1
202423 AA2 teams 317288 6214215 22967 161 .215.287.434.721 .219.266 307 .310 95 -2 +3 +0 +1 +9 1.2
202524 AAA3 teams 636600 12227616 282426 158 .203.246.348.594 .145.310 384 .256 54 -33 -0 -4 +2 +18 -1.7
▸ 2026 Season (actual · ROS · total)
202625 AA2 teams 8369 16200 11282 40 .232.354.261.615 .029.381 3413 .285 76 -2 +1 +0 +0 +2 0.1
ROS25 MLBLAA 6963 14302 5241 20 .222.290.365.655 .143.317 357 .294 83 -1 +0 -1 +0 +2 0.0
TOT25 MLBLAA 152132 30502 16523 60 .227.325.311.635 .083.354 3411 .289 80 -4 +1 -1 +1 +4 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202726 MLB 73%LAA 415374 8616214 321236 121 .230.301.396.697 .166.299 308 .308 94 -3 +2 -6 +1 +12 0.7
202827 MLB 89%LAA 421379 8716214 331236 121 .230.301.393.695 .164.299 298 .309 95 -2 +2 -6 +2 +12 0.7
202928 MLB 94%LAA 422379 8716214 341236 121 .230.303.393.696 .164.298 298 .309 95 -3 +2 -7 +2 +12 0.6
203029 MLBLAA 414372 8516213 331216 111 .228.302.387.689 .159.297 298 .307 93 -3 +2 -7 +1 +12 0.5
203130 MLBLAA 407365 8215213 331216 100 .225.300.384.683 .159.296 308 .304 91 -4 +2 -8 +1 +12 0.3
203231 MLBLAA 392352 7915212 321185 80 .224.298.381.679 .156.294 308 .300 88 -5 +2 -8 +1 +11 0.0
203332 MLBLAA 373335 7414211 301145 60 .221.295.373.668 .152.293 318 .296 84 -7 +1 -9 +1 +11 -0.2
203433 MLBLAA 343309 6612110 271074 40 .214.285.356.641 .142.291 318 .290 80 -8 +1 -9 +1 +10 -0.5
203534 MLBLAA 299269 561018 24964 30 .208.283.342.625 .134.289 328 .283 75 -8 +1 -9 +1 +8 -0.8
▸ Career Totals (MLE all levels + projections)
Career 61085564 122623438171 406186090 15931 .220.284.368.652 .148.296 307 .287 78 -155 +19 -74 +22 +173 -1.5
/ 162G 650592 13025418 4319810 173 .220.284.367.650 .147.296 307 .287 78 -17 +2 -8 +2 +18 -0.2

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
201918 ROKGCL Red Sox 157136 35511 15363 30 .257.344.331.675 .074.340 2310 .307 93 -1 +1 +4 0.4
202120 ASalem Red Sox 469418 1132134 38947 154 .270.341.364.705 .093.335 208 .317 101 +0 +1 +13 1.5
202221 A+Greenville Drive 512466 134251018 351007 207 .288.346.500.846 .212.330 207 .368 140 +23 +1 +15 4.0
202221 INTLCriollos de Caguas 140120 33306 11346 23 .275.365.450.815 .175.329 248 .358 132 +5 -1 +4 0.8
202322 AAPortland Sea Dogs 322289 702315 19895 84 .242.297.381.677 .138.327 286 .297 85 -5 +0 +9 0.4
202423 AAASalt Lake Bees 146129 331106 12385 70 .256.342.481.823 .225.318 268 .364 137 +6 +1 +4 1.2
202423 AAPortland Sea Dogs 171146 4610411 20362 91 .315.398.6641.062 .349.354 2112 .448 201 +20 +1 +5 2.6
202524 MLBLos Angeles Angels 7069 16214 0241 00 .232.243.464.707 .232.293 340 .306 92 -1 +0 -4 +2 +2 -0.0
202524 AAASalt Lake Bees 462424 11128513 321364 117 .262.320.443.763 .182.356 297 .336 115 +8 -1 +13 2.1
202524 INTLIndios de Mayaguez 10486 24701 16261 41 .279.394.395.790 .116.390 2515 .360 134 +4 +0 +3 0.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career 7069 16214 0241 00 .232.243.464.707 .232.293 340 .306 92 -1 +0 -4 +2 +2 -0.0

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
Matthew Lugo (OGILVIE) 25 45 55 50 35 .214/.266/.388 .174.303 64 36% 5% 81 +0.1
Romy Gonzalez
2023 · MLB
26 44 52→55 50→55 37 .225/.272/.383 .158.319 2117 36% 6% 80 +0.4 .241/.284/.400 .159.327 1820 31% 5% 89 +1.0 .282/.326/.450.168.355171925%5%116+1.5
Christopher Morel
2023 · MLB
24 41→46 54→60 49→50 41 .216/.279/.394 .178.298 2215 34% 7% 86 +0.8 .225/.298/.429 .204.290 2711 31% 9% 104 +2.0 .219/.298/.421.202.276271030%9%99+1.4
Joe Benson
2013 · MLB
25 43→50 52→60 51→50 41 .220/.286/.394 .174.297 1915 32% 7% 89 +1.0 .209/.275/.332 .123.289 1113 30% 7% 68 -0.5 .208/.279/.321.113.28291328%7%65-0.5
Nelson Velázquez
2023 · MLB
24 40→38 54→60 52→50 37 .208/.266/.387 .178.310 2317 39% 7% 79 +0.3 .209/.272/.395 .186.271 2612 32% 7% 84 +0.6 .200/.266/.385.185.241271030%7%76+0.1
Justin Maxwell
2008 · MLB
24 42→45 55→60 54→60 39 .221/.279/.401 .180.298 2419 34% 6% 89 +0.9 .219/.293/.380 .161.300 1927 32% 9% 89 +0.9 .221/.295/.429.208.301261734%9%97+0.7
Jerar Encarnacion
2023 · MLB
25 44→45 52→55 43→45 36 .218/.271/.374 .155.334 218 40% 6% 78 +0.2 .223/.288/.394 .171.338 247 38% 8% 90 +1.0 .217/.289/.391.174.32025638%8%86+0.4
Wladimir Balentien
2008 · AAA
24 42→45 52→55 49→50 41 .218/.275/.386 .167.290 2112 32% 7% 82 +0.5 .221/.281/.392 .171.271 219 26% 7% 86 +0.8 .219/.279/.399.180.26022725%7%86+0.6
Daniel Palka
2017 · AAA
25 39→43 55→60 49→50 38 .207/.262/.389 .182.297 2410 38% 7% 78 +0.2 .219/.270/.394 .175.296 246 33% 6% 82 +0.5 .212/.281/.401.189.26526430%8%87+0.7
Travis Blankenhorn
2022 · MLB
25 43 51→55 49→50 39 .222/.272/.381 .159.296 209 32% 6% 79 +0.3 .218/.283/.385 .167.287 218 31% 7% 86 +0.8 .205/.273/.381.176.25923530%7%77+0.1
Terry Evans
2007 · AA
25 44→52 51→55 52→55 37 .228/.282/.385 .158.309 2019 33% 5% 85 +0.7 .235/.279/.385 .150.326 1721 32% 5% 83 +0.6 .230/.270/.375.145.320152332%5%74-0.0
Mickey Moniak
2023 · MLB
25 39→49 51→60 50 37 .208/.252/.369 .161.273 1910 32% 5% 68 -0.5 .239/.277/.426 .187.312 2311 30% 4% 94 +1.3 .246/.285/.451.204.307261128%4%101+1.4
Alex Liddi
2014 · MLB
25 42→52 49→60 49→50 37 .215/.262/.366 .151.308 1710 35% 6% 71 -0.3 .209/.251/.350 .141.312 159 36% 5% 63 -0.9 .220/.273/.402.182.28826833%6%84+0.4
Michael Hermosillo
2021 · MLB
26 39→46 49→55 49→55 38 .201/.276/.347 .146.291 1713 36% 6% 73 -0.1 .223/.311/.402 .179.301 2115 32% 7% 102 +1.9 .209/.294/.409.200.252281829%6%95+0.5
Jai Miller
2010 · AAA
25 45→46 49→55 50→55 40 .222/.281/.374 .152.319 1713 35% 7% 82 +0.5 .203/.266/.369 .166.343 2011 44% 7% 75 -0.0 .179/.249/.349.170.325221149%8%60-0.7
David Villar
2022 · AA
25 43→42 52→60 48→40 38 .218/.283/.380 .161.312 206 35% 6% 85 +0.7 .219/.303/.409 .190.291 255 32% 9% 101 +1.8 .206/.295/.384.178.27223332%9%88+0.8
Tyler Fitzgerald
2023 · AA
25 38→48 51→55 53→55 34 .195/.259/.352 .157.307 2014 41% 6% 67 -0.5 .227/.286/.397 .170.317 2021 33% 6% 90 +1.0 .234/.294/.402.168.313202331%7%93+1.0
Adolis García
2019 · MLB
26 41→48 50→60 48→50 35 .218/.250/.376 .157.282 1813 30% 4% 69 -0.4 .210/.249/.390 .180.283 2313 34% 4% 73 -0.1 .239/.300/.446.207.298271629%7%106+2.3
Alex Castellanos
2014 · MLB
27 42→50 51→55 53→50 39 .218/.282/.382 .164.290 1917 31% 6% 85 +0.7 .210/.270/.351 .141.299 1512 33% 6% 72 -0.2 .208/.268/.348.140.30314834%6%66-0.3
Jo Adell
2023 · MLB
24 40→44 54→65 47→50 35 .212/.262/.389 .176.300 229 36% 5% 78 +0.2 .217/.279/.423 .206.277 2812 32% 7% 95 +1.4 .218/.285/.446.228.252341229%7%101+1.4
Wilkin Ramirez
2011 · AAA
25 41→50 51→55 54→55 36 .211/.263/.371 .160.316 1922 38% 6% 73 -0.1 .225/.265/.379 .154.308 1817 32% 5% 76 +0.1 .238/.272/.387.149.308161628%4%77+0.1