Matt Lloyd3B Memphis Redbirds
Age 30 L/R 6'0" / 205 lbs AAA HR -7%K -4% Svc 0.0 · Ctrl thru 2033 peak 0.5 · 2026
wRC+†86
AVG/OBP/SLG.221 / .298 / .359
PA250
HR6
SB5
K%29
BB%9
MLB%10%
BAT: -4.0 runs (wOBA-derived runs vs avg)-4BATRUN: +0.6 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: +0.50+0.5WAR
Scouting · nowfuture
HIT
5050
PWR
5050
SPD
5050
EYE
5160
trajectory · 10 yrs
0.4peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2028
Service   0 yrs (est)
Team Control Through   2033
First FA Year   2034
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2028
2027MiLBstill in minors · estimated debut 2028
2028Pre-Arb$0.8M+0.1$0.4M+$0.0M (cut)
2029Arb-1$0.8M
2030Arb-2$0.9M
2031Extbeyond projection horizon · no WAR estimate
2032Extbeyond projection horizon · no WAR estimate
2033Extbeyond projection horizon · no WAR estimate
Totals $-1M $-1M +$0.0M

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
201923 ADayton Dragons 8779 14502 7281 12 .177.253.316.569 .139.245 328 .250 50 -5 -1 +0 +0 +2 -0.3
202125 AAChattanooga Lookouts 114101 19206 9453 01 .188.274.386.660 .198.255 398 .297 85 -2 -0 +0 +0 +3 0.1
202226 AAChattanooga Lookouts 8678 12402 7321 10 .154.233.282.515 .128.227 378 .220 27 -7 +0 +0 +0 +2 -0.4
202327 INTLMayos de Navojoa 233190 561309 40470 41 .295.417.505.923 .211.343 2017 +0 +1
202428 AASpringfield Cardinals 486430 9321011 391357 162 .216.292.342.634 .126.279 288 .279 72 -16 +2 +0 +2 +14 0.2
202529 AAA2 teams 339302 701419 331020 83 .232.307.374.682 .142.314 3010 .297 85 -6 +0 +0 +1 +10 0.6
▸ 2026 Season
202630 MLBSTL 250223 491016 23712 51 .220.298.354.653 .135.294 289 .298 86 -4 +1 +0 +1 +7 0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202731 MLB 20%STL 310277 621318 28882 51 .224.300.365.664 .141.293 289 .296 85 -5 +1 -3 +1 +9 0.3
202832 MLB 33%STL 312279 621318 28892 41 .222.298.362.660 .140.291 299 .294 83 -6 +0 -4 +1 +9 0.1
202933 MLB 43%STL 296266 581217 26852 40 .218.293.350.642 .132.290 299 .290 80 -7 +1 -4 +1 +8 -0.1
203034 MLB 52%STL 262235 501016 23772 30 .213.288.340.629 .128.288 299 .284 76 -7 +1 -5 +1 +7 -0.3
▸ Career Totals (MLE all levels + projections)
Career 27752460 545117674 26379922 5112 .222.302.364.667 .143.292 299 .263 59 -128 +5 -15 +10 +79 -5.0
/ 162G 650576 12727117 621875 123 .220.302.359.661 .139.291 2910 .263 59 -30 +1 -4 +2 +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
201923 ADayton Dragons 8776 17603 10211 12 .224.322.421.743 .197.269 2411 .332 112 +1 -1 +2 0.3
202125 AAChattanooga Lookouts 11498 23307 12363 01 .235.336.480.816 .245.286 3211 .358 132 +4 -0 +3 0.7
202226 AAChattanooga Lookouts 8675 14502 10251 10 .187.291.333.624 .147.250 2912 .286 77 -2 +0 +2 0.0
202327 INTLMayos de Navojoa 233190 561309 40470 41 .295.417.505.923 .211.343 2017 .404 167 +18 +0 +7 2.5
202428 AASpringfield Cardinals 486413 11125017 56987 162 .269.366.453.818 .184.305 2012 .358 132 +18 +2 +14 3.5
202529 AAAMemphis Redbirds 317272 741818 41770 73 .272.367.434.801 .162.347 2413 .355 130 +11 +0 +9 2.0
202529 APalm Beach Cardinals 2216 4001 630 10 .250.455.438.892 .188.250 1427 .408 171 +2 +0 +1 0.3

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
Matt Lloyd (OGILVIE) 30 50 50 50 60 .221/.298/.359 .138.294 65 29% 9% 86 +0.3
Garrett Stubbs
2023 · MLB
30 47 47→45 53→50 54 .234/.320/.370 .136.293 1511 24% 11% 97 +1.5 .225/.300/.336 .111.291 1112 25% 9% 80 +0.4 .217/.289/.307.089.28391125%7%64-0.3
Jason Pridie
2014 · MLB
30 46→53 46→50 53→55 42 .231/.279/.360 .129.297 1310 27% 6% 76 +0.1 .238/.285/.377 .139.295 1619 24% 6% 83 +0.6 .243/.290/.386.144.292172423%6%86+0.6
Pedro Severino
2023 · MLB
30 51→50 47→50 49→45 46 .251/.310/.385 .134.318 155 25% 8% 96 +1.5 .225/.283/.360 .135.285 1511 26% 7% 79 +0.3 .189/.246/.307.118.234151326%7%45-0.9
Anthony Recker
2014 · MLB
30 43→48 51→50 43→45 47 .220/.295/.378 .157.286 197 29% 9% 89 +0.9 .211/.280/.369 .158.286 206 32% 8% 80 +0.4 .200/.280/.351.151.26619331%9%71-0.1
Kirk Nieuwenhuis
2018 · MLB
30 42→50 49→55 44→50 49 .209/.300/.358 .149.303 1611 34% 11% 86 +0.8 .203/.285/.319 .116.322 1010 36% 10% 69 -0.4 .182/.265/.284.103.3026838%9%50-0.9
Chris Herrmann
2018 · MLB
30 41→50 50 55→50 50 .212/.291/.363 .150.264 1811 26% 10% 83 +0.6 .227/.310/.379 .152.306 176 29% 11% 95 +1.4 .214/.299/.358.144.30716033%10%82+0.2
Xavier Paul
2014 · MLB
29 53→58 47→50 50→55 48 .260/.320/.402 .142.317 1416 22% 8% 105 +2.1 .218/.275/.349 .131.286 156 28% 7% 72 -0.2 .178/.228/.284.106.24714133%5%33-1.7
John Mayberry Jr.
2014 · MLB
30 47→48 52→55 46→50 47 .240/.297/.410 .170.281 208 22% 7% 98 +1.6 .216/.285/.374 .158.262 176 24% 8% 84 +0.6 .180/.259/.335.155.21217224%9%64-0.2
Scott Moore
2013 · MLB
29 48→51 48→55 43→50 46 .241/.307/.389 .148.295 166 24% 7% 96 +1.5 .212/.279/.347 .135.275 143 27% 7% 75 -0.0 .183/.253/.301.119.24213129%6%49-1.1
Ezequiel Carrera
2018 · MLB
31 53→63 44→45 50→60 49 .257/.323/.369 .112.317 1215 22% 8% 98 +1.6 .225/.284/.332 .107.290 1119 25% 7% 72 -0.2 .169/.205/.225.056.22333625%4%6-1.3
Mark Payton
2022 · MLB
30 48→54 50→55 48→50 46 .243/.295/.403 .160.285 1710 21% 7% 95 +1.4 .241/.296/.385 .144.281 1411 19% 7% 90 +1.0 .246/.304/.388.142.288131019%7%92+1.0
Cole Sturgeon
2022 · AAA
30 48→49 46→45 49→50 40 .237/.286/.366 .129.310 1310 27% 5% 81 +0.4 .217/.270/.324 .107.260 1112 21% 6% 63 -0.8 .208/.262/.302.094.247101120%6%51-1.3
Jarrett Parker
2019 · MLB
30 45→50 52→55 45→50 45 .228/.302/.393 .165.309 206 32% 9% 95 +1.4 .212/.300/.380 .168.314 216 36% 11% 92 +1.2 .182/.286/.352.170.26623238%12%79+0.2
Chris Owings
2023 · MLB
31 40→50 47→50 50→55 44 .205/.272/.343 .138.276 1513 31% 8% 70 -0.3 .203/.276/.336 .133.294 1611 34% 8% 70 -0.3 .193/.274/.320.127.282161135%9%62-0.5
Phillip Ervin
2021 · MLB
29 49→52 48→50 49→55 48 .240/.314/.388 .149.300 1414 24% 8% 99 +1.7 .207/.283/.336 .129.279 1515 29% 9% 73 -0.1 .163/.242/.272.109.220152132%9%36-1.2
Daniel Descalso
2018 · MLB
31 48→54 48→50 51→45 56 .237/.325/.382 .146.282 157 21% 11% 102 +1.9 .224/.326/.382 .158.287 165 25% 13% 103 +1.9 .202/.317/.357.155.26316227%14%88+0.5
Rafael Alvarez
2007 · AAA
30 48 48→50 49→45 44 .240/.295/.383 .143.312 167 28% 7% 89 +1.0 .237/.309/.351 .114.330 109 28% 9% 87 +0.8 .245/.339/.344.099.34661027%12%96+0.6
Brennan Boesch
2015 · MLB
30 47→55 51→55 50 41 .241/.282/.403 .162.291 1911 24% 5% 89 +1.0 .234/.273/.363 .129.294 158 25% 5% 75 -0.0 .228/.264/.316.088.28710424%4%58-0.5
Johnny Monell
2016 · MLB
30 47→44 45→50 48→45 46 .232/.288/.353 .121.287 129 24% 7% 79 +0.3 .231/.280/.354 .123.284 136 23% 6% 76 +0.0 .221/.272/.347.126.27814225%6%68-0.3
Andrew Beattie
2008 · AAA
30 45→50 47→45 46→50 47 .226/.293/.359 .133.289 1410 26% 8% 82 +0.5 .233/.285/.359 .126.295 1313 25% 7% 79 +0.3 .242/.287/.355.113.303101423%6%76+0.0