Francesco BarbieriOF Fredericksburg Nationals
Age 26 L/R 6'1" / 180 lbs A HR -9% Svc 0.0 · Ctrl thru 2036
wRC+†59
AVG/OBP/SLG.201 / .267 / .309
PA76
HR1
K%33
BB%7
MLB%0%
BAT: -3.5 runs (wOBA-derived runs vs avg)-4BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.5 runs (Positional adjustment)-0POSREP: +2.2 runs (Replacement-level credit)+2REPTotal WAR: -0.20-0.2WAR
trajectory · 10 yrs
-0.2peak
2026

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
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$1.0M
2034Ext / FA-deal$0.2M
2035Extbeyond projection horizon · no WAR estimate
2036Extbeyond projection horizon · no WAR estimate
Totals $-2M $-23M -$21M
Underwater contract
Projected production over the remaining contract is worth -$21M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
202525 A2 teams 121102 17220 15571 133 .167.280.225.505 .059.378 4712 .228 33 -9 +1 +0 -1 +3 -0.5
▸ 2026 Season
202626 MLBWSH 7669 14211 6251 10 .203.276.304.581 .101.291 338 .263 59 -4 +0 +0 -0 +2 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202727 MLB 10%WSH 117106 22412 9371 20 .208.276.321.597 .113.291 328 .269 64 -5 +0 +0 -1 +3 -0.2
202828 MLB 20%WSH 208188 39714 16652 31 .207.277.319.596 .112.291 318 .272 66 -8 +0 -1 -1 +6 -0.4
202929 MLB 33%WSH 264239 50925 21822 41 .209.279.326.605 .117.290 318 .272 67 -10 +0 -1 -2 +7 -0.5
203030 MLB 43%WSH 303273 571026 24953 40 .209.280.326.606 .117.289 318 .271 65 -12 +1 -2 -2 +9 -0.7
203131 MLB 57%WSH 311280 571026 25993 20 .204.276.318.594 .114.287 328 .267 62 -13 +0 -3 -2 +9 -0.9
203232 MLB 75%WSH 307277 561025 24993 10 .202.273.307.580 .105.286 328 .262 59 -14 +0 -4 -2 +9 -1.1
203333 MLB 92%WSH 287261 52925 22952 00 .199.267.307.573 .107.284 338 .257 55 -15 +0 -4 -2 +8 -1.3
203434 MLBWSH 250227 43714 19842 00 .189.258.282.540 .093.283 348 .251 50 -14 +0 -5 -2 +7 -1.4
▸ Career Totals (MLE all levels + projections)
Career 22442022 407701638 18173820 305 .201.274.308.582 .107.294 338 .263 59 -103 +4 -20 -13 +64 -7.0
/ 162G 650586 11820511 522146 91 .201.273.309.582 .108.294 338 .263 59 -30 +1 -6 -4 +18 -2.0

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
202525 AFredericksburg Nationals 9878 15330 17371 120 .192.344.308.651 .115.366 3817 .300 88 -1 +2 +3 0.4
202525 ROKFCL Nationals 2315 6000 720 13 .400.591.400.991 .000.462 930 .448 201 +3 -1 +1 0.2

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
Francesco Barbieri (OGILVIE) 26 .201/.267/.309 .108.291 11 33% 7% 59 -0.1
Mark Contreras
2021 · AA
26 36→38 44→50 47→55 38 .183/.247/.298 .115.269 1113 35% 6% 48 -1.9 .201/.262/.346 .145.292 1719 36% 6% 66 -0.6 .199/.260/.339.140.286172435%6%61-0.7
Jackson Cluff
2023 · AA
26 36→29 40→45 48→55 36 .179/.243/.270 .091.285 811 38% 6% 39 -2.5 .186/.268/.305 .119.285 1220 36% 9% 59 -1.1 .181/.273/.314.132.266142835%10%61-0.6
Gabe Snyder
2021 · A
26 41→37 47→50 45→40 42 .208/.270/.338 .131.276 155 30% 7% 68 -0.5 .211/.284/.355 .144.299 158 32% 8% 79 +0.3 .173/.267/.342.169.23518734%10%65-0.2
Shane Matheny
2022 · AA
26 38→42 43→45 47→50 39 .187/.250/.294 .107.292 116 38% 7% 48 -1.9 .201/.285/.328 .127.324 149 38% 10% 72 -0.2 .191/.281/.316.125.30014938%10%64-0.5
Patrick Dorrian
2021 · A
25 42→37 43→55 51→45 41 .206/.260/.322 .117.290 96 31% 6% 59 -1.1 .198/.265/.350 .152.297 186 37% 8% 69 -0.4 .189/.258/.354.165.27522538%8%64-0.5
Ryan Aguilar
2021 · AA
26 40→41 42→45 49→50 41 .190/.265/.290 .099.310 98 39% 8% 53 -1.5 .191/.282/.312 .121.320 1413 41% 10% 67 -0.5 .176/.277/.309.133.286161441%11%61-0.5
Justin Toerner
2023 · AAA
26 39 43→45 48→50 44 .190/.284/.298 .108.293 1110 36% 9% 65 -0.7 .190/.283/.309 .119.284 1311 35% 10% 66 -0.6 .126/.240/.244.118.17215935%12%32-1.0
Joseph Nowicki
2009 · A
26 42→40 47→55 50→45 37 .211/.258/.353 .142.294 158 33% 5% 66 -0.6 .210/.255/.338 .128.301 148 34% 5% 61 -1.0 .182/.222/.281.099.25712434%4%28-1.1
Brenden Webb
2015 · A
25 36→37 44→45 48→50 39 .180/.250/.300 .120.295 129 41% 8% 50 -1.8 .191/.245/.294 .103.301 1012 38% 6% 45 -2.1 .184/.232/.281.097.278111637%5%33-1.8
Parker Bates
2023 · A
25 40 44→50 50 42 .200/.267/.322 .122.274 1112 30% 7% 63 -0.9 .193/.255/.276 .083.270 712 29% 7% 45 -2.1 .170/.231/.215.045.23931228%6%17-2.2
Seth Fortenberry
2010 · AA
26 37→43 44→45 51→50 42 .188/.261/.308 .120.276 1210 35% 8% 56 -1.3 .189/.254/.290 .101.308 79 38% 7% 48 -1.9 .160/.216/.252.092.3000444%7%17-0.7
Devin Foyle
2022 · AA
25 40→37 46→45 48→45 44 .205/.275/.336 .132.274 1411 30% 8% 69 -0.4 .212/.284/.329 .117.274 127 26% 8% 71 -0.3 .192/.282/.265.072.2456022%10%51-0.6
Bobby Kingsbury
2007 · A
26 42 45→50 47→50 44 .210/.277/.340 .130.280 128 29% 7% 71 -0.3 .217/.273/.342 .125.275 1212 25% 6% 69 -0.4 .211/.266/.341.130.260121423%6%65-0.5
Ian Bladergroen
2009 · A
26 43→41 44→45 49→30 40 .207/.281/.324 .118.297 115 32% 6% 69 -0.4 .216/.269/.349 .133.270 135 24% 6% 69 -0.4 .207/.258/.351.144.25114124%5%64-0.5
Jonny Butler
2023 · A
24 43→33 40→50 53→55 43 .207/.267/.303 .095.296 710 31% 8% 56 -1.3 .193/.264/.310 .117.267 1017 30% 8% 58 -1.2 .175/.253/.291.117.236101829%8%46-1.1
Ryan Scott
2018 · A
25 38→33 42→45 50→45 37 .191/.249/.295 .104.275 108 33% 5% 47 -1.9 .175/.232/.275 .100.263 96 35% 6% 35 -2.8 .133/.191/.221.088.1998237%6%1-3.1
Colin Simpson
2022 · A
26 40 44→45 51→40 38 .200/.253/.319 .118.300 126 36% 6% 55 -1.4 .201/.256/.330 .129.287 146 33% 7% 59 -1.1 .189/.247/.320.131.26414433%7%50-0.9
Matt Winaker
2021 · A
25 38 42→45 46→45 43 .188/.266/.297 .109.249 96 27% 7% 56 -1.3 .196/.289/.281 .085.273 66 28% 9% 62 -0.9 .176/.283/.252.075.2456327%9%50-0.7
Kacy Clemens
2019 · A
25 41→37 43→45 47→45 45 .200/.274/.310 .110.289 104 33% 9% 63 -0.9 .176/.248/.268 .092.282 96 38% 9% 40 -2.4 .131/.209/.203.072.2178441%9%6-3.5
Shayne Fontana
2022 · AA
25 41 42→45 48→55 46 .197/.276/.303 .106.284 99 32% 9% 61 -1.0 .215/.297/.325 .110.300 1114 30% 9% 76 +0.1 .222/.305/.326.104.296111927%8%77+0.1