Archer BrookmanC Columbus Clingstones
Age 27 R/R 6'0" / 200 lbs AA BB -5% Svc 0.0 · Ctrl thru 2034 peak 0.8 · 2026
wRC+†93
AVG/OBP/SLG.217 / .282 / .324
PA184
HR3
K%25
BB%7
MLB%2%
BAT: -1.5 runs (wOBA-derived runs vs avg)-1BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +3.3 runs (Positional adjustment)+3POSREP: +5.2 runs (Replacement-level credit)+5REPTotal WAR: +0.80+0.8WAR
Scouting · nowfuture
HIT
4040
PWR
2525
SPD
4040
EYE
4530
trajectory · 10 yrs
0.8peak
2029

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Arb-1$0.8M+0.7$3M+$2M
2030Arb-2$0.9M+0.5$2M+$1M
2031Arb-3$0.9M+0.2$0.9M+$0.0M
2032Ext / FA-deal$0.2M
2033Ext / FA-deal$0.4M
2034Ext / FA-deal$0.6M
Totals $4M $2M -$2M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202324 ALakeland Flying Tigers 8870 12211 15292 00 .171.333.271.605 .100.268 3317 .272 66 -3 +0 +0 +2 +2 0.1
202425 A2 teams 218187 33803 20626 10 .176.277.267.544 .091.238 289 .248 48 -13 +0 +0 +4 +6 -0.3
202526 A+West Michigan Whitecaps 228210 41702 9514 10 .195.242.257.499 .062.241 224 .223 29 -18 +0 +0 +4 +6 -0.8
▸ 2026 Season (actual · ROS · total)
202627 AAColumbus Clingstones 3733 12300 391 00 .364.432.455.887 .091.500 248 .388 155 +2 +0 +0 +1 +1 0.4
ROS27 MLBATL 147134 31612 10362 20 .231.295.336.630 .104.298 247 .286 77 -4 +0 +0 +3 +4 0.3
TOT27 MLBATL 184167 43912 13453 20 .257.322.359.682 .102.339 247 .307 93 -1 +0 +0 +3 +5 0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202728 MLB 9%ATL 224202 47914 17513 31 .233.302.347.648 .114.294 238 .294 83 -4 +0 -1 +4 +6 0.6
202829 MLB 19%ATL 274247 571115 21644 31 .231.301.344.646 .113.293 238 .294 83 -5 +0 -1 +5 +8 0.6
202930 MLB 29%ATL 308277 641315 24724 30 .231.302.339.641 .108.292 238 .292 82 -6 +1 -2 +6 +9 0.7
203031 MLB 40%ATL 302272 621215 23724 30 .228.298.335.632 .107.291 248 .289 80 -7 +1 -3 +5 +9 0.5
203132 MLB 49%ATL 286258 581115 22704 20 .225.296.333.629 .109.289 248 .285 76 -8 +0 -4 +5 +8 0.2
203233 MLB 57%ATL 256230 521014 20644 20 .226.299.330.630 .104.288 258 .279 72 -8 +0 -4 +5 +7 -0.0
203334 MLB 68%ATL 214193 42813 16563 20 .218.288.316.604 .098.286 267 .273 67 -8 +0 -5 +4 +6 -0.3
203435 MLB 85%ATL 166151 32612 12452 10 .212.279.305.583 .093.284 277 .266 62 -7 +0 -6 +3 +5 -0.5
▸ Career Totals (MLE all levels + projections)
Career 27112431 5311031041 20967242 232 .218.292.320.611 .101.282 258 .277 70 -92 +4 -25 +48 +77 1.2
/ 162G 650583 12725210 5016110 60 .218.291.319.610 .101.281 258 .277 70 -22 +1 -6 +12 +18 0.3

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
202324 ALakeland Flying Tigers 8864 13211 21202 00 .203.414.312.726 .109.273 2324 .347 124 +2 +0 +2 0.5
202425 A+West Michigan Whitecaps 2521 2100 282 00 .095.240.143.383 .048.154 328 .202 13 -2 +0 +1 -0.2
202425 ALakeland Flying Tigers 193158 371004 26374 10 .234.356.373.730 .139.273 1913 .327 108 +2 +0 +5 0.8
202526 A+West Michigan Whitecaps 228204 47802 15384 10 .230.296.299.595 .069.266 177 .269 64 -9 +0 +6 -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
Archer Brookman (OGILVIE) 27 40 25 40 30 .217/.282/.324 .106.280 32 25% 7% 69 -0.1
Trey Harris
2023 · AA
27 45→51 42→45 43→45 40 .223/.277/.322 .100.285 118 25% 5% 66 -0.6 .208/.259/.288 .080.284 68 27% 5% 49 -1.8 .190/.236/.251.061.2662628%4%26-1.7
Javi Herrera
2008 · AA
27 43 41→40 41→45 44 .211/.277/.305 .094.262 95 22% 6% 62 -0.9 .214/.298/.308 .094.276 88 24% 9% 72 -0.2 .198/.297/.278.080.2656625%10%63-0.3
Dominic Miroglio
2022 · AA
27 41 44→45 44→40 43 .205/.269/.321 .117.279 115 30% 7% 63 -0.9 .216/.284/.361 .145.260 155 23% 8% 80 +0.4 .203/.270/.374.171.21220216%7%72-0.1
Arturo Rodriguez
2019 · AAA
27 45→41 43→45 46→30 43 .223/.266/.329 .107.272 125 23% 5% 63 -0.9 .258/.294/.402 .144.289 196 18% 4% 94 +1.3 .282/.311/.427.146.30523216%3%103+1.0
Cody Clark
2009 · AA
27 43 42→45 47→40 41 .214/.262/.317 .103.260 106 22% 4% 59 -1.1 .222/.270/.348 .126.258 145 20% 5% 70 -0.3 .219/.268/.341.122.25112118%5%64-0.3
Bryan Holaday
2015 · MLB
27 46 39→45 44→40 43 .222/.269/.308 .086.271 65 20% 5% 58 -1.2 .224/.268/.336 .112.273 114 22% 4% 66 -0.6 .217/.286/.341.124.25213219%7%71-0.1
Mike Marjama
2016 · A
27 49→47 43→50 42→45 38 .243/.270/.356 .113.293 106 21% 3% 71 -0.3 .236/.278/.367 .131.288 125 22% 4% 78 +0.2 .222/.272/.359.137.27012422%5%69-0.2
Sean Jamieson
2016 · AA
27 49→46 43→45 46→50 43 .235/.294/.348 .113.314 1010 27% 6% 80 +0.4 .217/.276/.307 .090.324 78 33% 7% 62 -0.9 .182/.236/.235.053.3022038%6%22-1.2
Chuckie Robinson
2022 · AA
27 40→50 45 47→45 40 .204/.266/.319 .115.281 138 31% 6% 61 -1.0 .228/.277/.351 .123.290 147 26% 5% 74 -0.1 .227/.276/.326.099.30112427%5%64-0.4
Zach Zaneski
2013 · AA
27 49 43→45 43→30 41 .239/.286/.350 .111.308 103 25% 5% 77 +0.1 .213/.263/.327 .114.283 124 28% 6% 61 -1.0 .160/.209/.259.099.21913033%5%17-1.4
Renae Martinez
2021 · AA
27 42→32 43→50 44→40 43 .208/.271/.314 .106.276 103 28% 7% 62 -0.9 .195/.264/.310 .115.308 118 37% 8% 58 -1.2 .139/.221/.264.125.22713643%8%26-0.9
Israel Nunez
2013 · AAA
27 48 38→40 40 44 .230/.271/.302 .072.274 66 18% 5% 57 -1.2 .241/.289/.328 .087.295 66 20% 5% 72 -0.2 .268/.307/.337.070.3225118%3%80+0.1
Chris Denove
2010 · AAA
27 50 41→40 39→40 46 .237/.293/.340 .103.287 75 20% 6% 77 +0.1 .243/.298/.355 .112.294 107 20% 6% 83 +0.6 .251/.307/.348.098.30410620%6%81+0.2
Ed Easley
2013 · AAA
27 48→42 38→45 43→40 48 .230/.290/.306 .076.285 65 21% 8% 66 -0.6 .246/.303/.349 .103.298 94 19% 7% 83 +0.6 .245/.303/.346.101.2959219%6%80+0.2
Xorge Carrillo
2016 · AAA
27 48 42→40 42→30 44 .236/.293/.335 .099.278 103 19% 5% 76 +0.1 .224/.277/.320 .096.278 103 22% 5% 66 -0.6 .231/.284/.323.092.28310121%5%65-0.3
Nevin Ashley
2012 · AAA
27 46→50 42→45 44→45 42 .224/.291/.328 .104.299 96 27% 6% 74 -0.1 .226/.291/.344 .118.290 116 25% 7% 78 +0.2 .216/.284/.330.113.27310423%7%69-0.2
Julian Laurean
2011 · AAA
27 45 45→40 44→40 41 .224/.277/.347 .122.291 129 27% 6% 72 -0.2 .226/.281/.334 .108.280 97 22% 6% 71 -0.3 .222/.281/.307.085.2695018%6%64-0.3
Josh Ford
2010 · AA
27 47→53 41→45 46→30 43 .227/.283/.324 .097.300 86 26% 7% 69 -0.4 .229/.280/.374 .145.310 174 31% 5% 81 +0.4 .223/.273/.364.141.30517131%5%73-0.1
C.J. Hinojosa
2021 · AA
27 48→54 41→45 42→45 46 .233/.278/.333 .100.270 97 17% 6% 69 -0.4 .239/.278/.364 .125.291 127 22% 5% 77 +0.1 .233/.273/.355.122.28112721%5%70-0.3
Adam Weisenburger
2015 · AAA
26 45 40 41→30 46 .218/.293/.312 .094.283 84 25% 8% 71 -0.3 .217/.298/.304 .087.280 65 23% 8% 71 -0.3 .198/.290/.269.071.2523321%9%56-0.7