Ely BrownOF Winston-Salem Dash
Age 22 L/L 6'0" / 190 lbs A+ BB +6%HR -6% Svc 0.0 · Ctrl thru 2035 peak 1.2 · 2031
wRC+†72
AVG/OBP/SLG.218 / .285 / .333
PA120
HR2
K%27
BB%7
MLB%0%
BAT: -3.8 runs (wOBA-derived runs vs avg)-4BATRUN: -0.6 runs (SB/CS + UBR baserunning)-1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.7 runs (Positional adjustment)-1POSREP: +3.4 runs (Replacement-level credit)+3REPTotal WAR: -0.20-0.2WAR
trajectory · 10 yrs
1.2peak
2031

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M+1.1$10M+$9M
2031Arb-3$0.9M+1.2$11M+$10M
2032Ext / FA-deal$0.9M+1.1$11M+$10M
2033Ext / FA-deal$2M+0.9$4M+$3M
2034Ext / FA-deal$2M+0.7$4M+$1M
2035Ext / FA-deal$2M+0.5$3M+$0.1M
Totals $9M $42M +$33M

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
202521 AKannapolis Cannon Ballers 122109 32300 10271 150 .294.358.321.679 .028.386 228 .302 89 -1 +3 +0 -1 +3 0.4
▸ 2026 Season (actual · ROS · total)
202622 A+Winston-Salem Dash 7159 14200 7232 23 .237.338.271.609 .034.368 3210 .278 71 -2 -1 +0 -0 +2 -0.2
ROS22 MLBCWS 4944 10201 4141 10 .227.306.341.647 .114.300 298 .282 74 -1 +0 +0 -0 +1 -0.0
TOT22 MLBCWS 120103 24401 11373 33 .233.325.301.626 .068.343 319 .280 72 -4 -1 +0 -1 +3 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%CWS 203180 42714 18463 42 .233.313.350.663 .117.287 239 .303 90 -2 +0 +0 -1 +6 0.2
202824 MLB 26%CWS 309273 661128 29694 73 .242.324.385.708 .143.289 229 .312 97 -1 +0 +0 -2 +9 0.6
202925 MLB 44%CWS 373330 8014210 35835 84 .242.324.388.712 .145.290 229 .317 101 +0 +0 +0 -2 +11 0.9
203026 MLB 59%CWS 414366 8815211 40925 94 .240.324.383.706 .142.291 2210 .320 103 +1 +0 +0 -2 +12 1.1
203127 MLB 76%CWS 433383 9316212 42965 94 .243.326.389.715 .146.291 2210 .320 103 +1 +0 +0 -3 +12 1.2
203228 MLB 84%CWS 442391 9416212 43995 94 .240.323.384.707 .143.290 2210 .319 102 +1 +0 -1 -3 +13 1.1
203329 MLB 90%CWS 439388 9316212 431005 83 .240.323.384.707 .144.289 2310 .317 101 +0 +0 -1 -3 +12 0.9
203430 MLBCWS 434383 9015211 431005 73 .235.320.371.691 .136.288 2310 .314 98 -1 +0 -2 -3 +12 0.7
203531 MLBCWS 423373 8815211 42995 52 .236.321.375.697 .139.287 2310 .310 95 -2 +0 -3 -3 +12 0.5
203632 MLBCWS 407359 8314210 40985 32 .231.317.365.682 .134.285 2410 .305 92 -4 -0 -4 -2 +12 0.2
203733 MLBCWS 379335 771329 37944 11 .230.314.361.675 .131.284 2510 .300 88 -5 -0 -4 -2 +11 -0.1
203834 MLBCWS 335296 651117 32864 01 .220.304.334.639 .115.282 2610 .293 83 -7 -0 -5 -2 +9 -0.4
▸ Career Totals (MLE all levels + projections)
Career 47624210 100116822118 458110357 8633 .238.321.372.693 .134.293 2310 .311 96 -21 +4 -20 -29 +135 7.2
/ 162G 650575 13723316 631518 125 .238.322.372.695 .134.294 2310 .311 96 -3 +0 -3 -4 +18 1.0

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
202521 AKannapolis Cannon Ballers 122101 32300 17191 150 .317.417.347.763 .030.386 1614 .350 126 +4 +3 +3 1.0

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
Ely Brown (OGILVIE) 22 .218/.285/.333 .114.290 22 27% 7% 73 -0.0
Trevor Larnach
2019 · A
22 48→53 45→55 51→45 47 .235/.297/.362 .127.292 117 23% 8% 85 +0.7 .238/.301/.359 .121.342 124 31% 7% 86 +0.8 .235/.316/.401.167.29321426%10%99+1.4
TJ Friedl
2018 · A
22 47→53 41→50 49→55 43 .227/.287/.336 .109.294 711 24% 6% 74 -0.1 .225/.297/.323 .098.293 718 24% 7% 75 -0.0 .246/.337/.381.136.276151816%10%103+1.8
James Outman
2019 · A
22 40→49 47→60 53→50 39 .203/.260/.335 .132.285 1511 34% 6% 63 -0.9 .196/.265/.334 .138.273 1613 33% 7% 65 -0.7 .223/.317/.418.195.310251434%10%107+2.0
DJ Stewart
2017 · A
23 44→48 43→60 51→50 47 .213/.288/.324 .111.289 1016 28% 9% 72 -0.2 .228/.300/.377 .149.280 1714 24% 8% 91 +1.1 .228/.303/.393.165.269201223%8%94+1.1
Akil Baddoo
2021 · A
22 41→51 43→55 55 44 .198/.268/.314 .116.295 914 34% 8% 60 -1.0 .234/.308/.374 .140.313 1421 27% 10% 92 +1.2 .232/.314/.375.143.300152426%11%91+0.8
Zach Borenstein
2013 · A
23 44→54 46→60 53→50 43 .217/.276/.354 .136.272 1214 24% 6% 74 -0.1 .247/.298/.434 .187.311 228 27% 6% 105 +2.1 .250/.301/.438.188.31723628%6%105+1.6
JJ Bleday
2021 · A
23 44→50 43→55 48→45 42 .218/.269/.329 .110.289 107 28% 6% 64 -0.8 .191/.278/.336 .145.249 166 29% 10% 71 -0.3 .233/.319/.423.190.27122422%11%107+1.9
Forrest Wall
2018 · A
22 45→55 40→45 51→70 43 .218/.268/.312 .094.281 816 25% 6% 59 -1.1 .218/.277/.327 .109.305 1019 30% 7% 67 -0.5 .260/.332/.371.111.35495027%9%98+1.0
Oneil Cruz
2021 · AA
22 46→51 46→60 50→55 37 .226/.267/.357 .131.317 1311 32% 5% 71 -0.3 .239/.295/.432 .193.318 2420 31% 7% 103 +1.9 .241/.304/.442.201.317252231%8%103+1.7
Kyle Manzardo
2022 · A
22 48→42 45→60 49→40 44 .234/.298/.361 .127.293 126 24% 6% 85 +0.7 .240/.311/.439 .199.278 243 23% 9% 111 +2.5 .227/.305/.435.207.25826223%9%107+1.6
Sam Hilliard
2016 · A
22 46→48 44→55 53→55 44 .221/.283/.347 .127.309 1010 30% 8% 75 -0.0 .209/.260/.321 .112.328 1118 37% 6% 58 -1.2 .203/.279/.381.178.280211834%9%80+0.2
Max Kepler
2015 · A
22 44→54 44→60 52→50 45 .216/.272/.339 .123.260 106 21% 6% 69 -0.4 .242/.305/.393 .151.288 1210 20% 8% 96 +1.5 .234/.319/.433.200.24824417%10%108+2.2
Cedric Mullins
2017 · A
22 42→52 47→55 55→60 39 .215/.247/.354 .139.261 1416 24% 4% 61 -1.0 .224/.266/.362 .138.266 1416 21% 5% 72 -0.2 .254/.323/.426.171.293192719%8%108+2.3
Dwight Smith Jr.
2015 · A
22 50→53 42→50 53→50 49 .239/.297/.345 .106.289 812 20% 7% 79 +0.3 .241/.293/.347 .106.294 99 20% 7% 78 +0.2 .248/.308/.381.134.29513920%7%92+0.9
Jason Martin
2017 · A
21 43→50 45→60 48→50 45 .216/.275/.346 .130.280 1213 27% 7% 71 -0.3 .222/.270/.365 .143.297 1512 29% 6% 74 -0.1 .218/.285/.408.191.27126829%8%90+0.7
Mat Gamel
2007 · A
22 45→55 47→55 49→45 41 .228/.270/.362 .133.277 147 23% 5% 73 -0.1 .247/.297/.394 .147.323 147 26% 6% 92 +1.2 .251/.307/.408.157.34115629%7%101+1.6
Justyn-Henry Malloy
2022 · A
22 46→56 45→50 48→45 47 .224/.294/.345 .121.300 1310 29% 9% 79 +0.3 .233/.321/.379 .146.324 185 31% 11% 100 +1.7 .234/.340/.391.157.32018530%12%109+2.0
David Lough
2008 · A
22 47→57 41→50 51→50 41 .230/.276/.327 .098.291 811 24% 5% 66 -0.6 .243/.285/.376 .133.279 1311 18% 4% 83 +0.6 .268/.308/.394.126.308111416%4%94+1.2
Cavan Biggio
2017 · A
22 45→49 40→55 52→50 44 .218/.279/.313 .095.291 811 27% 7% 65 -0.7 .205/.294/.341 .136.296 1512 33% 10% 79 +0.3 .231/.348/.426.194.300221628%14%122+2.6
Christin Stewart
2016 · A
22 47→45 47→55 49→45 42 .231/.300/.375 .144.304 148 28% 6% 90 +1.0 .212/.293/.383 .171.282 214 31% 9% 90 +1.0 .222/.297/.399.177.27322127%8%93+1.0