Colin BurgessC Rome Emperors
Age 25 R/R 5'9" / 195 lbs A+ BB -5% Svc 0.0 · Ctrl thru 2035 peak 0.5 · 2029
wRC+†57
AVG/OBP/SLG.207 / .264 / .312
PA117
HR2
K%29
BB%6
MLB%0%
BAT: -5.7 runs (wOBA-derived runs vs avg)-6BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.1 runs (Positional adjustment)+2POSREP: +3.3 runs (Replacement-level credit)+3REPTotal WAR: -0.00-0.0WAR
Scouting · nowfuture
HIT
3030
PWR
2525
SPD
4040
EYE
2525
trajectory · 10 yrs
0.5peak
2028

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+0.4$2M+$0.9M
2031Arb-3$0.9M+0.3$1M+$0.5M
2032Ext / FA-deal$0.9M+0.1$0.5M-$0.5M
2033Ext / FA-deal$0.2M
2034Ext / FA-deal$0.4M
2035Ext / FA-deal$0.6M
Totals $4M $-2M -$6M
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
202322 A+West Michigan Whitecaps 2017 5100 241 00 .294.400.353.753 .059.385 2010 .323 105 +0 +0 +0 +0 +1 0.1
202524 AAugusta GreenJackets 160149 24501 7523 00 .161.214.215.429 .054.237 324 .194 7 -17 +0 +0 +3 +5 -1.0
▸ 2026 Season (actual · ROS · total)
202625 A+Rome Emperors 4639 8100 7110 00 .205.326.231.557 .026.286 2415 .253 52 -3 +0 +0 +1 +1 -0.0
ROS25 MLBATL 7165 13201 5201 10 .200.268.277.545 .077.282 287 .264 60 -3 +0 +0 +1 +2 0.0
TOT25 MLBATL 117104 21301 12311 10 .202.291.260.550 .058.278 2610 .260 57 -6 +0 +0 +2 +3 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202726 MLB 10%ATL 190171 37713 15482 31 .216.287.322.609 .105.277 258 .277 70 -6 +0 +0 +3 +5 0.3
202827 MLB 25%ATL 264238 51915 21673 31 .214.286.324.610 .109.278 258 .281 73 -8 +0 +0 +5 +7 0.4
202928 MLB 37%ATL 313281 621126 26793 41 .221.294.338.632 .117.279 258 .282 74 -9 +0 -1 +6 +9 0.5
203029 MLB 47%ATL 337303 661226 28863 41 .218.290.330.620 .112.278 268 .281 73 -10 +0 -1 +6 +10 0.4
203130 MLB 55%ATL 354318 681226 29924 40 .214.288.321.609 .107.277 268 .277 71 -12 +1 -2 +6 +10 0.3
203231 MLB 73%ATL 340306 651226 28903 30 .212.285.324.608 .111.275 268 .274 68 -12 +1 -3 +6 +10 0.1
203332 MLB 90%ATL 318286 591115 26853 30 .206.279.304.584 .098.274 278 .269 64 -13 +1 -4 +6 +9 -0.1
203433 MLBATL 285257 51914 23793 20 .198.272.288.560 .089.272 288 .264 60 -13 +0 -4 +5 +8 -0.4
203534 MLBATL 239216 43813 19682 20 .199.270.287.557 .088.271 288 .258 55 -12 +0 -5 +4 +7 -0.6
▸ Career Totals (MLE all levels + projections)
Career 28912607 544991346 22977031 294 .209.280.310.590 .101.276 278 .270 64 -116 +4 -20 +52 +82 0.2
/ 162G 650586 12222310 511737 71 .208.279.307.586 .099.276 278 .270 64 -26 +1 -4 +12 +18 0.1

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
202322 A+West Michigan Whitecaps 2016 5100 331 00 .312.450.375.825 .062.385 1515 .387 154 +1 +0 +1 0.2
202524 AAugusta GreenJackets 160144 30602 11363 00 .208.277.292.568 .083.262 227 .260 57 -8 +0 +5 -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
Colin Burgess (OGILVIE) 25 30 25 40 25 .207/.264/.312 .105.281 22 29% 6% 58 -0.2
Chadd Krist
2015 · A
25 40 41→40 44→45 43 .198/.262/.299 .100.269 86 29% 7% 53 -1.5 .191/.246/.291 .100.279 106 33% 6% 45 -2.1 .147/.198/.242.094.21111036%5%8-1.4
Greg Thissen
2006 · A
25 39 43→45 41→45 39 .198/.247/.307 .109.266 116 30% 6% 50 -1.8 .203/.268/.298 .095.268 87 26% 8% 56 -1.3 .198/.275/.281.083.2597725%9%54-0.6
Javi Herrera
2006 · AA
25 43 42→40 43→45 38 .210/.263/.314 .104.278 97 27% 4% 59 -1.1 .214/.282/.308 .094.270 86 23% 6% 66 -0.6 .200/.294/.282.082.2518522%9%63-0.3
Rylan Sandoval
2013 · AA
25 39 41→40 45 36 .193/.251/.293 .100.287 95 35% 5% 48 -1.9 .216/.266/.305 .089.313 78 31% 5% 56 -1.3 .221/.270/.295.074.3195831%5%52-0.6
Quincy McAfee
2023 · AA
25 39 43→45 43→45 46 .192/.280/.301 .108.265 117 30% 9% 63 -0.8 .198/.277/.336 .138.251 1610 27% 7% 71 -0.3 .186/.266/.336.150.221181225%7%63-0.5
Adam Weisenburger
2014 · AA
25 43 40 41→30 45 .208/.285/.299 .091.281 74 27% 7% 64 -0.8 .217/.296/.306 .089.280 64 23% 8% 70 -0.3 .212/.296/.290.078.2665220%8%65-0.4
Austin Rei
2019 · AA
25 39 41→40 39→40 41 .189/.265/.285 .096.274 84 32% 7% 53 -1.5 .195/.267/.290 .095.305 87 36% 7% 54 -1.4 .130/.211/.194.064.2184039%8%3-0.9
Mark Kolozsvary
2021 · A
25 38 40 41→30 41 .182/.271/.272 .090.282 74 35% 7% 53 -1.5 .182/.268/.303 .121.290 124 39% 7% 59 -1.1 .151/.229/.271.120.22815239%6%31-0.7
Donny Sands
2021 · A
25 41 38→45 45→40 39 .198/.251/.278 .080.282 55 30% 6% 43 -2.2 .231/.288/.361 .130.278 154 22% 7% 81 +0.4 .228/.289/.352.124.27514222%8%77+0.1
Chase Pinder
2021 · AA
25 40 39→45 39→45 45 .193/.271/.272 .079.282 75 32% 8% 51 -1.7 .213/.304/.343 .130.284 148 28% 10% 84 +0.6 .221/.324/.370.149.286161127%12%97+0.8
D' Vontrey Richardson
2013 · A
25 47→40 39→40 44→50 39 .221/.271/.316 .095.316 610 30% 6% 61 -1.0 .240/.281/.330 .090.317 616 25% 5% 69 -0.4 .245/.284/.333.088.31762124%4%67-0.3
Jan Vázquez
2016 · AA
25 41 43→40 43→45 40 .202/.270/.306 .105.290 117 33% 7% 59 -1.1 .219/.292/.313 .094.295 89 27% 7% 71 -0.3 .217/.296/.306.089.2898726%7%67-0.2
Chris Denove
2008 · A
25 41 38→40 47→40 43 .197/.259/.276 .079.263 65 26% 6% 46 -2.0 .229/.285/.319 .090.287 64 21% 6% 69 -0.4 .245/.301/.340.096.2987319%6%79+0.1
Jayson Langfels
2014 · AA
25 42→32 43→40 46→50 37 .201/.264/.310 .109.312 1111 37% 6% 58 -1.2 .206/.279/.294 .088.335 714 38% 7% 60 -1.0 .202/.285/.272.070.34141738%8%54-0.8
Dylan Neuse
2023 · A
24 37 39→40 49→50 44 .183/.260/.264 .081.271 814 33% 9% 45 -2.1 .205/.286/.296 .091.292 713 29% 9% 63 -0.8 .211/.301/.305.094.29351327%10%72-0.1
Trevor Schwecke
2023 · AAA
25 40 43→45 42→50 39 .196/.257/.308 .111.294 117 36% 7% 54 -1.4 .222/.280/.337 .115.319 1013 32% 7% 71 -0.3 .230/.289/.344.113.326101730%7%74-0.0
JJ Schwarz
2021 · A
25 39 41→45 48→30 44 .192/.259/.283 .091.263 86 29% 8% 49 -1.8 .208/.276/.329 .121.293 143 32% 8% 68 -0.5 .201/.273/.323.122.28015132%9%62-0.5
Dusty Brown
2007 · AA
25 42 43→45 44→30 43 .208/.262/.315 .107.268 115 26% 6% 57 -1.2 .224/.282/.343 .119.299 123 28% 7% 73 -0.1 .229/.292/.341.112.30912028%7%75-0.0
Adam Donachie
2009 · AA
25 39 43→45 41→30 46 .197/.264/.301 .104.263 123 29% 8% 56 -1.3 .188/.255/.282 .094.263 93 30% 8% 46 -2.0 .169/.240/.257.088.2349030%8%33-1.3
David Masters
2018 · A
25 36 39→45 39→40 42 .179/.237/.257 .078.234 83 27% 6% 32 -3.0 .200/.267/.312 .112.276 123 30% 7% 59 -1.1 .191/.262/.324.132.26317133%7%57-0.5