Mac GuscetteC Rome Emperors
Age 24 R/R 6'0" / 190 lbs A+ BB -5% Svc 0.0 · Ctrl thru 2035 peak 0.9 · 2029
wRC+†58
AVG/OBP/SLG.219 / .276 / .325
PA218
HR3
K%23
BB%6
MLB%0%
BAT: -10.4 runs (wOBA-derived runs vs avg)-10BATRUN: -0.0 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +3.9 runs (Positional adjustment)+4POSREP: +6.2 runs (Replacement-level credit)+6REPTotal WAR: -0.00-0.0WAR
Scouting · nowfuture
HIT
3030
PWR
2525
SPD
4040
EYE
4225
trajectory · 10 yrs
0.9peak
2029

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+0.9$4M+$3M
2031Arb-3$0.9M+0.8$4M+$3M
2032Ext / FA-deal$0.9M+0.6$3M+$2M
2033Ext / FA-deal$0.6M+0.3$1M+$0.9M
2034Ext / FA-deal$5M+0.1$0.5M-$5M
2035Ext / FA-deal$0.6M
Totals $9M $12M +$3M
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
202422 A+Rome Emperors 4237 5200 332 00 .135.238.189.427 .054.147 77 .180 -4 -5 +0 +0 +1 +1 -0.3
202523 A+2 teams 270246 41822 15605 02 .167.229.240.469 .073.207 226 .209 18 -25 -1 +0 +5 +8 -1.3
▸ 2026 Season (actual · ROS · total)
202624 A+Rome Emperors 2019 2001 071 00 .105.150.263.413 .158.091 350 .143 -32 -3 +0 +0 +0 +1 -0.2
ROS24 MLBATL 198181 40813 12463 31 .221.281.326.607 .105.275 236 .273 67 -7 +0 +0 +4 +6 0.2
TOT24 MLBATL 218200 42814 12534 31 .210.269.320.589 .110.264 246 .261 58 -10 +0 +0 +4 +6 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 10%ATL 263241 541025 17603 41 .224.284.344.628 .120.278 236 .282 74 -8 +0 +0 +5 +7 0.5
202826 MLB 25%ATL 332302 691327 23764 51 .228.292.354.646 .126.279 237 .287 78 -8 +1 +0 +6 +9 0.8
202927 MLB 43%ATL 367333 761527 26855 51 .228.294.348.642 .120.280 237 .289 79 -9 +1 +0 +7 +10 0.9
203028 MLB 52%ATL 388352 791528 28905 51 .224.291.347.637 .122.280 237 .289 79 -9 +1 -1 +7 +11 0.9
203129 MLB 63%ATL 393356 811628 29925 51 .228.295.351.646 .124.279 237 .287 78 -10 +1 -1 +7 +11 0.8
203230 MLB 73%ATL 395358 801528 29945 41 .223.291.344.634 .120.278 247 .284 75 -11 +0 -2 +7 +11 0.6
203331 MLB 90%ATL 373339 741427 27904 30 .218.284.333.617 .115.277 247 .280 72 -12 +1 -3 +7 +11 0.3
203432 MLBATL 348316 681326 25864 30 .215.281.326.607 .111.275 257 .275 69 -12 +1 -4 +6 +10 0.1
203533 MLBATL 311282 601125 22794 30 .213.279.319.598 .106.274 257 .270 65 -12 +1 -4 +6 +9 -0.2
203634 MLBATL 264240 49914 19693 20 .204.271.300.571 .096.272 267 .264 60 -12 +0 -5 +5 +7 -0.4
▸ Career Totals (MLE all levels + projections)
Career 39443583 7761492270 27593052 429 .217.282.329.611 .112.271 247 .275 69 -140 +5 -20 +70 +112 2.8
/ 162G 650591 12925412 451539 71 .218.284.335.619 .117.272 247 .275 69 -23 +1 -3 +12 +18 0.5

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
202422 A+Rome Emperors 4235 5200 522 00 .143.286.200.486 .057.152 512 .244 45 -3 +0 +1 -0.1
202523 A+Rome Emperors 178161 28411 11293 01 .174.240.230.470 .056.201 166 .217 24 -15 -0 +5 -1.1
202523 AAugusta GreenJackets 9275 22711 14152 01 .293.418.453.871 .160.350 1615 .388 155 +6 -0 +3 0.8

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
Mac Guscette (OGILVIE) 24 30 25 40 25 .219/.276/.325 .107.275 33 23% 6% 67 -0.2
Wyatt Toregas
2007 · AA
24 45→38 42→45 38→40 43 .222/.272/.323 .102.275 93 23% 6% 64 -0.8 .227/.279/.346 .119.268 134 20% 6% 73 -0.1 .222/.276/.342.120.25415219%6%70-0.2
Renae Martinez
2018 · A
24 45→32 43→50 41→40 44 .225/.279/.334 .109.278 115 23% 6% 69 -0.4 .218/.277/.327 .109.287 113 27% 6% 68 -0.5 .193/.260/.302.109.26511230%7%51-0.9
Payton Henry
2021 · A
24 39→31 43→45 42→30 32 .188/.252/.291 .103.318 113 42% 5% 48 -1.9 .221/.284/.326 .105.332 113 35% 6% 70 -0.3 .246/.293/.382.135.32219129%4%83+0.2
Willie MacIver
2021 · A
24 37→35 43→45 49→55 37 .190/.236/.299 .109.254 119 30% 4% 43 -2.2 .194/.260/.318 .124.282 1415 35% 7% 59 -1.1 .230/.309/.359.129.323131830%8%87+0.4
Taylor Krick
2012 · A
24 45 36→30 41→40 48 .212/.296/.272 .060.284 55 25% 8% 62 -0.9 .231/.315/.299 .068.320 35 26% 8% 77 +0.1 .242/.332/.304.063.3391326%9%82+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
Dallas Carroll
2018 · A
24 47→35 45 46→45 46 .235/.293/.353 .118.283 139 22% 7% 81 +0.4 .192/.253/.274 .082.262 87 28% 7% 43 -2.2 .172/.233/.240.067.2346628%7%24-3.4
Greg Cullen
2021 · A
24 44→42 41→40 42→40 48 .215/.292/.315 .100.268 83 22% 8% 72 -0.2 .229/.319/.338 .109.306 114 26% 10% 89 +0.9 .232/.336/.332.100.31711427%12%91+0.4
Ronnie Richardson
2014 · A
24 44 42→40 48→50 45 .213/.275/.318 .106.281 88 26% 7% 64 -0.8 .216/.308/.313 .097.284 610 24% 9% 78 +0.2 .210/.315/.303.093.27751023%10%77+0.1
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
Gavin Collins
2019 · A
24 40 46→45 42→40 39 .205/.253/.335 .130.264 134 28% 5% 59 -1.1 .209/.262/.323 .114.257 114 23% 5% 60 -1.0 .199/.271/.323.124.23917124%6%62-0.3
Bryan Holaday
2012 · AA
24 42 41→45 48→40 41 .206/.264/.302 .095.280 97 29% 6% 55 -1.4 .216/.266/.302 .086.273 75 22% 5% 56 -1.3 .217/.286/.341.124.25213219%7%71-0.1
Aaron McKeithan
2023 · A
23 45 40 45→40 44 .215/.290/.307 .093.291 84 28% 7% 69 -0.4 .217/.295/.297 .080.272 84 22% 7% 69 -0.4 .202/.287/.263.061.2448119%7%57-0.4
Cael Brockmeyer
2016 · AA
24 44→40 43→45 43→40 42 .218/.279/.331 .113.286 113 27% 6% 70 -0.3 .203/.259/.316 .113.285 124 32% 5% 57 -1.2 .193/.248/.298.105.28112334%5%45-0.8
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
Xorge Carrillo
2013 · A
24 42 43→40 50→30 41 .211/.258/.321 .110.276 118 28% 6% 57 -1.2 .240/.292/.325 .085.299 74 21% 5% 72 -0.2 .242/.299/.328.086.2898118%5%74-0.0
Riccio Torrez
2014 · AA
24 40→34 41→40 47→45 39 .196/.253/.290 .095.244 86 23% 4% 48 -1.9 .201/.253/.295 .094.270 87 28% 4% 49 -1.8 .152/.175/.220.069.2215433%2%-9-1.1
Tony Cruz
2011 · AAA
24 45→37 44→45 44→40 43 .223/.266/.347 .123.274 113 23% 5% 67 -0.5 .227/.271/.336 .109.282 93 22% 5% 66 -0.6 .226/.265/.324.097.2757020%4%56-0.4
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
Jeremy Farrell
2011 · A
24 47→38 44→45 45 41 .230/.287/.353 .123.307 116 28% 6% 79 +0.3 .218/.282/.320 .102.306 96 30% 6% 68 -0.5 .200/.269/.292.092.2888331%6%52-1.1