John GilSS Rome Emperors
Age 20 R/R 5'11" / 175 lbs A+ BB -5% Svc 0.0 · Ctrl thru 2035 peak 2.8 · 2031
wRC+†77
AVG/OBP/SLG.217 / .291 / .311
PA320
HR4
SB28
K%23
BB%9
MLB%0%
BAT: -8.5 runs (wOBA-derived runs vs avg)-8BATRUN: +3.3 runs (SB/CS + UBR baserunning)+3RUNFLD: -0.3 runs (Defensive runs vs avg)-0FLDPOS: +3.4 runs (Positional adjustment)+3POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: +0.70+0.7WAR
Scouting · nowfuture
HIT
3050
PWR
4042
SPD
6066
FLD
4550
EYE
5060
trajectory · 10 yrs
2.9peak
2032

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+2.5$23M+$22M
2031Arb-3$0.9M+2.8$26M+$25M
2032Ext / FA-deal$0.9M+2.8$27M+$26M
2033Ext / FA-deal$6M+2.8$28M+$22M
2034Ext / FA-deal$9M+2.7$27M+$18M
2035Ext / FA-deal$12M+2.4$25M+$13M
Totals $30M $155M +$125M

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
202317 ROKDSL Braves 199172 37811 19523 203 .215.304.291.595 .076.293 2610 .266 62 -9 +3 +0 +2 +6 0.2
202418 ROK2 teams 370328 631012 31977 408 .192.276.247.523 .055.263 268 .234 37 -26 +5 +0 +4 +10 -0.7
202519 A2 teams 487444 922115 381012 5414 .207.273.293.566 .086.256 218 .250 49 -28 +5 +0 +5 +14 -0.4
▸ 2026 Season (actual · ROS · total)
202620 A+Rome Emperors 7365 15203 7190 123 .231.306.400.706 .169.273 2610 .301 89 -1 +1 +0 +1 +2 0.3
ROS20 MLBATL 247221 49914 22592 164 .222.298.326.624 .104.278 249 .281 73 -8 +2 -0 +3 +7 0.3
TOT20 MLBATL 320286 641117 29782 287 .224.300.343.642 .119.281 249 .285 77 -8 +3 -0 +3 +9 0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%ATL 561500 1132229 511235 338 .226.304.332.636 .106.278 229 .287 78 -14 +3 -1 +6 +16 1.1
202822 MLB 28%ATL 613545 12625212 581315 337 .231.311.350.661 .119.280 219 .298 86 -10 +4 -1 +7 +17 1.8
202923 MLB 48%ATL 650576 13526214 631366 317 .234.316.359.676 .125.281 2110 .305 91 -6 +3 -1 +7 +18 2.2
203024 MLB 63%ATL 674596 14027215 671396 307 .235.318.362.681 .128.281 2110 .309 95 -4 +3 -1 +7 +19 2.5
203125 MLB 80%ATL 687606 14428216 701416 286 .238.323.370.692 .132.282 2110 .312 97 -2 +3 -1 +7 +19 2.8
203226 MLB 94%ATL 692609 14428216 721426 266 .236.323.368.691 .131.282 2110 .314 99 -1 +3 -1 +7 +20 2.8
203327 MLBATL 691608 14428216 721426 245 .237.324.368.692 .132.282 2110 .314 99 -1 +3 -1 +7 +20 2.8
203428 MLBATL 685602 14328216 721426 224 .238.325.370.695 .133.282 2111 .313 98 -2 +3 -2 +7 +19 2.7
203529 MLBATL 674592 13927215 711426 204 .235.323.363.686 .128.281 2111 .311 96 -3 +2 -2 +7 +19 2.4
203630 MLBATL 663582 13626215 701426 193 .234.322.363.685 .129.280 2111 .308 94 -5 +3 -3 +7 +19 2.1
203731 MLBATL 649570 13125214 691415 162 .230.318.354.673 .125.278 2211 .304 91 -7 +2 -4 +7 +18 1.8
203832 MLBATL 630553 12524113 671415 141 .226.315.344.659 .118.277 2211 .299 87 -9 +2 -4 +7 +18 1.4
203933 MLBATL 601528 11722112 631385 120 .222.310.335.646 .114.275 2310 .294 83 -11 +2 -5 +6 +17 1.0
204034 MLBATL 552485 10520110 581324 110 .216.305.324.629 .107.273 2411 .288 78 -14 +2 -6 +6 +16 0.5
204135 MLBATL 494436 911718 511234 100 .209.297.307.605 .099.271 2510 .280 72 -15 +2 -6 +5 +14 -0.0
204236 MLBATL 432382 771416 441123 90 .202.289.291.580 .089.268 2610 .271 66 -17 +2 -7 +5 +12 -0.5
▸ Career Totals (MLE all levels + projections)
Career 112519935 225143531219 1128247698 46889 .227.312.343.654 .116.279 2210 .296 85 -191 +58 -45 +121 +319 26.7
/ 162G 650574 13025213 651436 275 .226.312.345.657 .118.278 2210 .296 85 -11 +3 -3 +7 +18 1.5

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
202317 ROKDSL Braves 199158 45921 33343 203 .285.418.386.804 .101.346 1717 .362 135 +8 +3 +6 1.7
202418 AAugusta GreenJackets 159137 28510 19370 142 .204.301.255.557 .051.275 2312 .259 56 -8 +2 +5 -0.1
202418 ROKFCL Braves 211175 50903 28347 266 .286.405.389.793 .103.338 1613 .364 137 +9 +3 +6 1.8
202519 AAColumbus Clingstones 2523 4000 270 40 .174.240.174.414 .000.250 288 .201 12 -2 +1 +1 -0.1
202519 AAugusta GreenJackets 462399 1032517 57642 5014 .258.353.378.731 .120.291 1412 .331 111 +6 +4 +13 2.4

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
John Gil (OGILVIE) 20 30→50 40→42 60→66 60 .217/.291/.311 .093.279 415 23% 9% 70 -0.2
Masyn Winn
2023 · AA
21 45→53 43→50 61→55 44 .220/.278/.344 .124.294 927 28% 7% 72 -0.2 .237/.291/.371 .134.285 1317 21% 7% 85 +0.7 .244/.299/.375.131.283141219%6%86+0.8
Adrian Pinto
2023 · A
20 50 41→45 59→65 52 .234/.322/.340 .106.284 629 19% 9% 90 +1.0 .231/.312/.347 .116.294 1019 23% 8% 88 +0.9 .235/.317/.335.100.30571823%9%81+0.1
Jorge Mateo
2015 · A
20 43→46 41→50 60→65 44 .207/.271/.306 .098.280 829 28% 7% 59 -1.1 .207/.252/.306 .099.292 637 30% 5% 50 -1.7 .217/.264/.366.149.272144425%5%70-0.2
Delino DeShields
2013 · A
20 44→53 41→45 60→65 43 .214/.272/.314 .100.286 934 28% 7% 62 -0.9 .227/.295/.329 .102.306 837 26% 8% 76 +0.0 .228/.305/.328.100.30563825%9%75+0.0
Tyler Pastornicky
2011 · AA
21 48→58 38→45 58→60 49 .226/.282/.309 .083.269 530 18% 7% 64 -0.8 .254/.296/.349 .095.295 720 16% 6% 80 +0.4 .267/.306/.362.094.30671615%5%83+0.4
Desmond Jennings
2007 · A
20 46→56 40→50 56→60 44 .220/.278/.309 .089.282 723 24% 6% 63 -0.9 .248/.308/.365 .117.293 1028 18% 7% 89 +1.0 .252/.331/.406.154.301152821%9%106+2.2
Jared Serna
2022 · A
20 42→48 39→50 55→50 53 .201/.298/.292 .091.257 620 22% 10% 69 -0.4 .215/.284/.336 .121.272 1218 24% 7% 73 -0.1 .214/.273/.346.132.262141524%6%68-0.4
Evan Carter
2023 · AA
20 46→52 45→50 55 51 .224/.304/.359 .135.280 1121 23% 9% 87 +0.8 .231/.318/.378 .147.301 1421 26% 10% 98 +1.6 .227/.321/.379.152.295162426%10%96+0.9
Samad Taylor
2019 · A
21 39→49 41→50 54→65 45 .193/.257/.297 .104.249 721 25% 7% 51 -1.7 .189/.265/.305 .116.284 1024 35% 8% 57 -1.2 .236/.312/.377.141.324164630%9%94+0.8
Luisangel Acuña
2022 · A
20 46→56 43→45 55→60 44 .226/.284/.332 .106.300 1124 28% 7% 72 -0.2 .237/.288/.345 .108.317 1133 27% 7% 76 +0.1 .245/.290/.348.103.312103924%6%74-0.1
Elvis Andrus
2009 · AA
20 50→59 37→50 55→60 43 .238/.286/.311 .073.310 530 24% 6% 66 -0.6 .257/.318/.329 .072.308 432 17% 8% 84 +0.6 .269/.322/.402.134.299121914%7%97+1.5
Johan Rojas
2023 · AA
22 43→53 42→45 63→65 42 .213/.261/.318 .105.268 934 24% 5% 58 -1.2 .245/.287/.352 .107.309 837 22% 5% 77 +0.1 .258/.299/.360.102.32474122%5%80+0.3
Rochest Cruz
2019 · A
20 48 37→40 60→65 54 .225/.302/.299 .073.268 432 17% 9% 70 -0.3 .206/.275/.270 .064.286 324 27% 8% 52 -1.6 .144/.214/.156.012.23503035%6%-5-1.2
Leo Rivas
2018 · A
20 47→54 37→40 55→65 53 .217/.311/.293 .076.288 319 24% 10% 74 -0.1 .194/.278/.275 .081.289 510 31% 10% 55 -1.4 .238/.354/.331.093.32094425%14%100+1.2
Ryan Brett
2013 · A
21 51→55 39→45 59→60 45 .241/.288/.332 .092.293 526 20% 6% 72 -0.2 .248/.289/.357 .109.301 823 20% 5% 79 +0.3 .248/.284/.359.111.29892120%4%74-0.0
Darell Hernaiz
2023 · AA
21 46→56 42→45 55→50 41 .228/.273/.331 .102.284 1020 23% 5% 66 -0.6 .247/.297/.349 .102.297 914 19% 6% 81 +0.4 .252/.309/.345.093.29471216%7%81+0.4
Victor Robles
2017 · A
20 50 42→50 56→60 42 .239/.308/.351 .112.293 824 21% 5% 88 +0.9 .241/.307/.368 .127.301 1024 22% 5% 91 +1.1 .244/.313/.382.138.303112722%6%94+1.0
Anthony Jimenez
2016 · A
20 46→44 39→45 57→55 45 .220/.280/.312 .092.265 521 19% 6% 65 -0.7 .225/.272/.325 .100.312 719 29% 5% 64 -0.8 .225/.265/.328.103.33781934%4%58-0.6
Dalton Pompey
2014 · A
21 44→54 40→45 57→55 46 .212/.280/.309 .097.289 621 28% 8% 63 -0.8 .250/.309/.355 .105.324 726 23% 7% 87 +0.8 .260/.318/.360.100.32972922%7%88+0.8
Manuel Margot
2015 · A
20 47→53 44→50 56→60 47 .229/.278/.348 .120.255 1125 16% 6% 73 -0.1 .239/.278/.351 .112.276 926 16% 5% 73 -0.1 .243/.300/.388.144.285132019%7%88+0.8