Brandon Forrester2B Fayetteville Woodpeckers
Age 22 S/R 5'9" / 171 lbs A H +4%HR -3% Svc 0.0 · Ctrl thru 2036 peak 1.1 · 2030
wRC+†60
AVG/OBP/SLG.210 / .271 / .319
PA80
HR1
SB5
K%30
BB%7
MLB%0%
BAT: -3.6 runs (wOBA-derived runs vs avg)-4BATRUN: +0.6 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.3 runs (Positional adjustment)+0POSREP: +2.3 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
1.1peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Arb-3$0.9M+1.1$10M+$9M
2032Ext / FA-deal$0.9M+1.0$10M+$9M
2033Ext / FA-deal$1.0M+0.9$4M+$3M
2034Ext / FA-deal$1M+0.7$4M+$2M
2035Ext / FA-deal$1M+0.4$2M+$0.7M
2036Ext / FA-deal$1.0M+0.2$1M+$0.1M
Totals $7M $31M +$24M

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 AFayetteville Woodpeckers 6764 10010 2201 43 .156.194.188.382 .031.227 303 .173 -9 -8 -0 +0 +0 +2 -0.7
▸ 2026 Season (actual · ROS · total)
202622 AFayetteville Woodpeckers 3027 7010 290 41 .259.310.333.644 .074.368 307 .255 53 -2 +0 +0 +0 +1 -0.0
ROS22 MLBHOU 5047 10201 3150 10 .213.260.319.579 .106.296 306 .269 64 -2 +0 +0 +0 +1 -0.0
TOT22 MLBHOU 8074 17211 5240 51 .230.278.324.603 .095.320 306 .264 60 -4 +1 +0 +0 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%HOU 173156 35614 13462 51 .224.292.353.645 .128.289 278 .286 77 -4 +1 +0 +1 +5 0.2
202824 MLB 26%HOU 287260 591027 22753 82 .227.295.362.656 .135.290 268 .296 85 -5 +1 +0 +1 +8 0.5
202925 MLB 43%HOU 357322 741239 29923 102 .230.299.370.669 .140.291 268 .302 89 -4 +1 +0 +1 +10 0.8
203026 MLB 58%HOU 403363 8414311 331034 112 .231.302.377.680 .146.292 268 .305 92 -4 +1 +0 +1 +11 1.1
203127 MLB 76%HOU 425382 8814312 361094 112 .230.303.377.680 .147.292 268 .305 92 -4 +1 +0 +2 +12 1.1
203228 MLB 84%HOU 436392 9115312 371134 112 .232.305.378.682 .145.292 268 .304 91 -4 +1 -1 +2 +12 1.0
203329 MLB 90%HOU 434390 9015312 371144 102 .231.304.377.681 .146.291 269 .302 90 -5 +1 -1 +2 +12 0.9
203430 MLBHOU 430386 8714311 371144 91 .225.300.363.662 .137.289 279 .299 87 -6 +1 -2 +2 +12 0.7
203531 MLBHOU 420377 8514311 361134 71 .225.300.366.666 .141.288 279 .295 84 -7 +1 -3 +1 +12 0.4
203632 MLBHOU 403362 8113310 341114 50 .224.297.359.657 .135.287 288 .291 81 -9 +1 -4 +1 +11 0.2
203733 MLBHOU 375337 741239 321063 30 .220.293.353.646 .134.285 289 .285 77 -10 +1 -4 +1 +11 -0.2
203834 MLBHOU 331297 631027 28963 20 .212.287.330.617 .118.283 298 .279 72 -11 +0 -5 +1 +9 -0.5
▸ Career Totals (MLE all levels + projections)
Career 45914135 93115133116 379122743 9718 .225.297.362.659 .137.290 278 .295 84 -84 +12 -20 +16 +130 5.6
/ 162G 650585 13121516 541746 143 .224.296.359.655 .135.289 278 .295 84 -12 +2 -3 +2 +18 0.8

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 AFayetteville Woodpeckers 6762 11010 4141 43 .177.239.210.448 .032.229 216 .212 20 -6 -0 +2 -0.5

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
Brandon Forrester (OGILVIE) 22 .210/.271/.319 .109.290 11 30% 7% 63 -0.1
Isiah Gilliam
2018 · A
22 41→46 47→55 46→55 40 .208/.259/.344 .136.280 146 30% 6% 64 -0.8 .196/.248/.317 .121.315 137 40% 6% 53 -1.5 .217/.299/.399.182.339231940%10%92+0.7
Parker Meadows
2022 · A
22 37→47 41→55 44→55 41 .185/.244/.280 .095.257 99 31% 7% 41 -2.3 .218/.280/.374 .156.279 1716 27% 7% 82 +0.5 .225/.292/.400.175.278202126%8%91+1.1
James McCann
2012 · A
22 41→51 42→50 49→45 39 .203/.260/.306 .103.288 97 32% 6% 55 -1.4 .223/.261/.310 .087.291 66 24% 4% 55 -1.4 .254/.315/.415.161.33120428%7%104+1.1
BJ Murray
2022 · A
22 45→43 42→50 52→50 38 .216/.265/.323 .106.316 98 33% 6% 60 -1.0 .223/.303/.347 .124.308 1210 29% 10% 84 +0.6 .200/.286/.344.144.257171528%10%74-0.1
Daniel Schneemann
2019 · A
22 39→49 40→50 50 43 .189/.254/.283 .094.277 76 33% 8% 46 -2.0 .211/.272/.298 .087.290 78 28% 7% 57 -1.2 .226/.305/.377.151.297151328%10%89+0.7
Skye Bolt
2017 · A
23 41→39 40→50 47→50 42 .198/.260/.294 .095.271 79 28% 6% 52 -1.6 .200/.260/.327 .127.289 1210 33% 7% 60 -1.0 .234/.302/.369.135.310151228%8%86+0.3
Blake Perkins
2018 · A
21 42→52 40→50 51→55 43 .206/.261/.296 .090.274 814 27% 6% 52 -1.6 .202/.269/.286 .084.291 717 30% 8% 53 -1.5 .228/.311/.359.130.302132527%10%87+0.5
Zoilo Almonte
2011 · A
22 44→54 45→50 48→50 37 .218/.259/.337 .119.303 139 32% 5% 62 -0.9 .241/.285/.384 .143.322 1613 29% 6% 85 +0.7 .256/.295/.398.142.31418324%5%91+0.9
Alonzo Harris
2011 · A
22 39→49 42→55 51→60 36 .196/.232/.300 .103.263 1013 30% 4% 40 -2.4 .219/.261/.311 .092.282 718 24% 5% 56 -1.3 .240/.296/.401.161.286193522%7%92+0.9
Adrian Del Castillo
2023 · A
23 36→45 43→55 52→40 41 .184/.246/.294 .110.257 107 32% 7% 46 -2.0 .210/.280/.351 .141.289 154 31% 8% 76 +0.0 .218/.292/.382.164.29319131%9%86+0.5
Henry Ramos
2014 · A
22 42→52 43→50 44→50 40 .209/.252/.318 .109.274 109 27% 5% 54 -1.4 .231/.274/.336 .105.301 87 25% 5% 67 -0.5 .251/.313/.394.142.31416724%7%96+0.9
Niko Goodrum
2013 · A
21 40→50 39→55 51→55 41 .191/.252/.280 .089.282 58 33% 7% 44 -2.1 .212/.279/.299 .087.310 516 30% 8% 61 -1.0 .231/.306/.406.174.310181630%9%97+1.0
Bo Naylor
2022 · AA
22 34→43 46→55 53→50 39 .181/.240/.306 .126.262 1410 36% 7% 46 -2.0 .213/.300/.385 .172.281 2013 30% 10% 93 +1.3 .216/.308/.399.183.269221228%11%97+1.2
Jonah Heim
2017 · A
22 38→48 39→55 49→40 43 .190/.240/.275 .085.238 74 23% 6% 37 -2.6 .211/.260/.310 .099.267 93 24% 6% 56 -1.3 .227/.289/.387.160.25619319%8%85+0.5
Karexon Sanchez
2010 · A
22 40→47 43→45 49→50 39 .201/.260/.314 .113.285 1112 32% 6% 57 -1.2 .212/.283/.322 .110.300 1011 31% 7% 69 -0.4 .218/.295/.324.106.304101130%8%71-0.2
Ehire Adrianza
2012 · A
22 46→50 39→50 49→50 45 .220/.276/.313 .093.282 513 23% 6% 63 -0.9 .218/.275/.308 .090.282 513 23% 7% 61 -1.0 .239/.324/.368.129.28511119%10%95+0.4
Jose Sermo
2013 · A
22 44→36 41→55 48→50 37 .214/.258/.311 .097.299 88 30% 5% 54 -1.4 .201/.245/.293 .092.308 89 35% 5% 44 -2.1 .197/.240/.319.122.300131338%5%47-0.6
Ryan Schimpf
2011 · A
23 39 43→60 52→45 39 .192/.257/.314 .121.284 910 34% 6% 56 -1.3 .198/.273/.355 .157.273 177 32% 8% 74 -0.1 .201/.284/.419.218.23528228%9%91+0.9
Max Moroff
2015 · A
22 42→52 38→50 45→50 43 .201/.262/.284 .084.290 511 31% 7% 50 -1.8 .226/.294/.331 .105.313 811 28% 9% 76 +0.0 .230/.309/.353.123.307121027%10%85+0.6
Ronny Simon
2022 · A
22 41→51 49→50 53→55 43 .212/.269/.366 .155.273 1714 29% 7% 74 -0.1 .219/.268/.369 .150.279 1722 27% 6% 75 -0.0 .239/.300/.355.117.301112723%7%81+0.4