Brody MooreSS Memphis Redbirds
Age 26 R/R 5'11" / 183 lbs AAA HR -7%K -4% Svc 0.0 · Ctrl thru 2033
wRC+†47
AVG/OBP/SLG.214 / .267 / .292
PA250
HR3
SB7
K%26
BB%6
MLB%10%
BAT: -15.0 runs (wOBA-derived runs vs avg)-15BATRUN: +0.8 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.7 runs (Positional adjustment)+3POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: -0.50-0.5WAR
Scouting · nowfuture
HIT
4545
PWR
3535
SPD
5050
EYE
4140
trajectory · 10 yrs
0.0peak
2028

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
2029Pre-Arb$0.8M
2030Pre-Arb$0.9M
2031Arb-1$0.2M
2032Arb-2$0.4M
2033Arb-3$0.6M
Totals $-12M $-12M +$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
202222 APalm Beach Cardinals 129115 25300 10420 30 .217.280.243.523 .026.325 338 .239 41 -9 +1 +0 +1 +4 -0.3
202323 A+2 teams 220201 32621 16822 114 .159.228.224.452 .065.261 377 .202 13 -22 +1 +0 +2 +6 -1.3
202424 A+Peoria Chiefs 446412 891212 241094 3010 .216.266.265.530 .049.287 245 .240 42 -29 +2 +0 +5 +13 -1.0
202525 AAA2 teams 394365 80913 191014 120 .219.265.274.539 .055.291 265 .244 45 -24 +2 +0 +4 +11 -0.7
▸ 2026 Season (actual · ROS · total)
202626 AAAMemphis Redbirds 5752 10300 5100 21 .192.263.250.513 .058.238 189 .220 27 -5 +0 +0 +1 +2 -0.3
ROS26 MLBSTL 193177 38612 12482 51 .215.272.294.566 .079.277 256 .254 53 -10 +1 +0 +2 +5 -0.2
TOT26 MLBSTL 250229 48912 17582 72 .210.270.284.554 .074.271 237 .246 47 -15 +1 +0 +3 +7 -0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202727 MLB 25%STL 336306 661114 24763 82 .216.279.297.577 .082.272 237 .264 60 -15 +1 +0 +4 +10 -0.1
202828 MLB 37%STL 364332 721215 26833 82 .217.280.304.584 .087.273 237 .267 63 -15 +1 -1 +4 +10 -0.1
202929 MLB 47%STL 373340 741315 27863 81 .218.281.306.587 .088.273 237 .268 63 -15 +1 -1 +4 +11 -0.1
203030 MLB 55%STL 378344 741315 28893 71 .215.280.302.582 .087.272 247 .266 62 -16 +1 -2 +4 +11 -0.3
203131 MLB 66%STL 369336 711215 27883 51 .211.276.298.574 .086.271 247 .263 59 -17 +1 -3 +4 +10 -0.5
203232 MLB 75%STL 354322 671114 26863 40 .208.274.286.559 .078.270 247 .258 56 -18 +1 -4 +4 +10 -0.7
203333 MLB 83%STL 326297 611014 24822 30 .205.269.286.556 .081.268 257 .253 52 -18 +1 -4 +3 +9 -0.9
203434 MLBSTL 284259 53913 21742 30 .205.270.282.551 .077.267 267 .247 47 -17 +1 -5 +3 +8 -1.0
▸ Career Totals (MLE all levels + projections)
Career 41663806 8021271343 284104634 10722 .211.272.285.556 .074.277 257 .253 52 -226 +13 -20 +45 +118 -7.2
/ 162G 650594 1262027 441635 173 .212.272.288.560 .076.278 257 .253 52 -35 +2 -3 +7 +18 -1.1

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
202222 APalm Beach Cardinals 129111 28400 14280 30 .252.336.288.624 .036.322 2211 .284 75 -4 +1 +4 0.1
202323 A+Peoria Chiefs 154137 29811 14362 94 .212.294.307.601 .095.277 239 .275 69 -5 +0 +4 -0.1
202323 APalm Beach Cardinals 6657 12010 9230 20 .211.318.246.564 .035.353 3514 .270 65 -3 +0 +2 -0.0
202424 A+Peoria Chiefs 446404 1051623 32864 3010 .260.320.332.652 .072.322 197 .294 83 -8 +2 +13 0.6
202525 AAAMemphis Redbirds 221197 47712 17493 60 .239.309.315.623 .076.302 228 .282 74 -7 +1 +6 0.1
202525 AASpringfield Cardinals 173160 39402 10301 60 .244.292.306.599 .063.287 176 .271 66 -7 +1 +5 -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
Brody Moore (OGILVIE) 26 45 35 50 40 .214/.267/.292 .078.283 36 26% 6% 54 -0.6
Danny Worth
2012 · MLB
26 46→53 41→45 51→50 42 .222/.271/.319 .097.291 815 26% 6% 62 -0.9 .211/.274/.310 .099.297 715 29% 8% 62 -0.9 .222/.290/.321.098.3257931%8%68-0.3
Jack Reinheimer
2018 · AAA
26 49→51 37→40 48→55 45 .230/.280/.299 .070.294 415 22% 6% 60 -1.0 .216/.270/.297 .081.282 616 24% 6% 56 -1.3 .199/.256/.275.075.26862127%6%43-1.3
Tony Pena Jr.
2007 · MLB
26 49→56 38→40 49→50 37 .233/.260/.317 .084.298 516 24% 3% 56 -1.3 .231/.255/.311 .080.281 410 19% 3% 52 -1.6 .232/.252/.304.072.2752616%2%45-1.3
Kyle Johnson
2016 · AAA
26 45→50 39→40 51→55 44 .213/.279/.303 .089.287 519 26% 7% 62 -0.9 .194/.255/.280 .086.277 612 30% 6% 46 -2.0 .167/.230/.232.065.2375830%6%20-1.8
Steven Baron
2016 · AAA
25 43 38→45 51→50 40 .208/.252/.292 .085.285 59 28% 5% 46 -2.0 .227/.285/.303 .076.312 66 27% 7% 64 -0.8 .220/.281/.276.057.3065228%7%51-0.6
Jonathan Malo
2010 · AAA
26 46→45 38→40 49→50 46 .220/.273/.298 .078.269 612 20% 6% 57 -1.2 .209/.266/.292 .083.273 59 24% 6% 53 -1.5 .197/.256/.281.084.2635526%6%43-1.0
Errol Robinson
2021 · AAA
26 44→48 40 46→55 42 .214/.265/.300 .086.287 913 28% 6% 55 -1.4 .202/.275/.275 .073.318 517 35% 9% 53 -1.5 .201/.275/.251.051.31432634%9%44-0.7
Shannon Wilkerson
2014 · AA
26 45→50 39→40 52→55 42 .216/.262/.306 .090.279 619 25% 6% 55 -1.4 .229/.271/.309 .080.293 414 22% 5% 58 -1.2 .235/.272/.308.072.29431220%4%55-0.7
Devin Lohman
2015 · AA
26 43→46 41→40 47→50 43 .213/.269/.308 .095.266 914 23% 6% 59 -1.1 .205/.258/.288 .083.276 710 27% 5% 49 -1.8 .168/.222/.210.042.2412829%5%11-1.5
Matt Williams
2016 · AAA
26 45→48 37→40 48→50 50 .214/.283/.285 .071.269 515 22% 8% 59 -1.1 .217/.279/.301 .084.271 614 21% 8% 61 -1.0 .214/.273/.298.084.26251519%7%56-0.8
Joshua McCurdy
2006 · AAA
26 47 39→40 51→50 41 .226/.271/.309 .083.290 615 24% 5% 59 -1.1 .213/.252/.304 .091.279 813 26% 4% 50 -1.8 .168/.177/.247.079.21491127%1%-2-1.0
Ryan Dent
2015 · AAA
26 44→42 39→40 47→50 42 .210/.265/.292 .083.286 613 28% 6% 53 -1.5 .207/.260/.301 .094.294 79 30% 6% 53 -1.5 .210/.253/.303.094.3008332%4%49-1.0
Matthew Batten
2021 · AAA
26 47→49 40→45 47→55 40 .223/.274/.315 .092.315 813 31% 6% 63 -0.9 .218/.283/.308 .090.313 923 31% 8% 65 -0.7 .209/.285/.299.091.29492730%9%60-0.8
Gary Brown
2015 · AAA
26 43→53 41→45 50→55 40 .211/.261/.309 .098.272 822 25% 4% 56 -1.3 .207/.252/.308 .101.262 919 24% 4% 52 -1.6 .196/.237/.289.093.23981621%4%37-1.9
Jeff Bianchi
2014 · MLB
27 49→55 38→45 47→50 43 .233/.273/.311 .078.286 614 21% 5% 60 -1.0 .226/.266/.303 .077.284 69 22% 5% 55 -1.4 .214/.255/.267.053.2764623%5%38-0.8
Pete Kozma
2014 · MLB
26 43→46 39→40 46→50 46 .207/.259/.292 .085.255 66 21% 7% 50 -1.8 .207/.265/.288 .081.253 610 20% 7% 52 -1.6 .191/.240/.281.091.2376622%5%37-1.7
Stephen Bruno
2017 · AAA
26 48→51 38→40 50 40 .228/.284/.313 .085.301 510 25% 5% 66 -0.6 .218/.272/.320 .102.268 1112 22% 4% 64 -0.8 .206/.261/.299.093.245111120%3%52-0.7
Johnni Turbo
2015 · AA
26 50→49 40 49→55 40 .240/.273/.333 .092.292 717 20% 3% 66 -0.6 .227/.270/.312 .085.276 615 19% 5% 59 -1.1 .225/.263/.271.046.27421918%4%41-0.7
Donny Lucy
2009 · MLB
26 45 41→40 51→50 41 .220/.270/.316 .096.289 912 27% 5% 61 -1.0 .201/.243/.289 .088.274 88 28% 4% 43 -2.2 .177/.219/.252.075.2397528%4%20-1.3
Mike Miller
2016 · AAA
26 50→47 38→40 48→50 44 .240/.277/.319 .079.280 613 16% 4% 64 -0.8 .231/.278/.301 .070.274 413 17% 5% 59 -1.1 .237/.289/.295.059.2875918%6%61-0.5