Nick DumesnilOF Lakeland Flying Tigers
Age 22 R/R 6'0" / 210 lbs A HR +5%H +3% Svc 0.0 · Ctrl thru 2036 peak 0.7 · 2030
wRC+†74
AVG/OBP/SLG.214 / .279 / .344
PA88
HR2
K%30
BB%7
MLB%0%
BAT: -2.6 runs (wOBA-derived runs vs avg)-3BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.1 runs (Defensive runs vs avg)+0FLDPOS: -0.5 runs (Positional adjustment)-1POSREP: +2.5 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
Scouting · nowfuture
HIT
4242
PWR
4747
SPD
5757
FLD
5252
trajectory · 10 yrs
0.7peak
2031

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+0.7$3M+$2M
2032Ext / FA-deal$0.9M+0.6$3M+$2M
2033Ext / FA-deal$1.0M+0.5$2M+$1M
2034Ext / FA-deal$0.6M+0.3$2M+$0.9M
2035Ext / FA-deal$5M
2036Ext / FA-deal$0.6M
Totals $9M $9M -$0.0M
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
202521 ALakeland Flying Tigers 7965 11500 13201 92 .169.316.246.563 .077.244 2516 .278 71 -3 +1 +0 -0 +2 0.0
▸ 2026 Season
202622 MLBDET 8880 18312 7261 20 .225.295.362.658 .137.288 308 .281 74 -3 +0 +0 -1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%DET 179161 36615 14512 41 .224.294.366.660 .143.289 288 .292 82 -4 +0 +0 -1 +5 0.1
202824 MLB 26%DET 292263 591028 24813 71 .224.297.369.665 .144.290 288 .298 87 -4 +1 +0 -2 +8 0.3
202925 MLB 43%DET 360323 7313210 30984 82 .226.300.372.671 .146.290 278 .303 90 -4 +1 +0 -2 +10 0.5
203026 MLB 58%DET 406364 8415312 351104 92 .231.305.387.693 .157.291 279 .305 92 -4 +1 +0 -2 +12 0.7
203127 MLB 76%DET 426382 8715312 371164 102 .228.303.377.680 .149.291 279 .305 92 -4 +1 +0 -3 +12 0.7
203228 MLB 84%DET 436391 8915313 381194 102 .228.303.381.684 .153.291 279 .304 91 -4 +1 -0 -3 +12 0.6
203329 MLB 90%DET 435390 8715312 381204 91 .223.299.369.668 .146.290 289 .302 89 -5 +1 -1 -3 +12 0.5
203430 MLBDET 430385 8615312 381204 91 .223.300.371.671 .148.288 289 .299 87 -6 +1 -2 -3 +12 0.3
203531 MLBDET 420376 8114211 371194 81 .215.293.351.644 .136.287 289 .295 84 -8 +1 -3 -3 +12 0.0
203632 MLBDET 404361 7713210 361174 80 .213.292.343.635 .130.285 299 .290 80 -9 +2 -3 -2 +11 -0.2
203733 MLBDET 375336 711229 331113 70 .211.288.339.627 .128.284 309 .285 76 -10 +1 -4 -2 +11 -0.4
203834 MLBDET 331296 621028 291013 70 .209.287.338.624 .128.282 319 .278 71 -11 +1 -5 -2 +9 -0.7
▸ Career Totals (MLE all levels + projections)
Career 46614173 92116129124 409130945 10715 .221.297.362.659 .142.289 289 .296 85 -79 +15 -17 -28 +132 2.4
/ 162G 650582 12822417 571836 152 .220.296.359.655 .139.288 289 .296 85 -11 +2 -2 -4 +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
202521 ALakeland Flying Tigers 7959 12500 17141 92 .203.380.288.668 .085.267 1822 .321 104 +0 +1 +2 0.4

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
Nick Dumesnil (OGILVIE) 22 42 47 57 .214/.279/.344 .130.288 22 30% 7% 74 -0.0
Alex Castellanos
2009 · A
22 44→50 46→55 57→50 35 .216/.265/.348 .132.303 1217 32% 4% 68 -0.5 .217/.269/.350 .133.310 1115 32% 4% 70 -0.3 .231/.292/.408.176.307181529%6%93+1.1
Jabari Henry
2013 · A
22 42→41 46→55 49→45 44 .212/.273/.344 .133.277 137 28% 7% 70 -0.3 .209/.287/.363 .154.271 176 28% 9% 82 +0.5 .193/.280/.360.167.25120630%10%75-0.0
Brandon Sizemore
2010 · A
23 43 46→50 54→50 39 .214/.274/.349 .135.295 1311 31% 6% 72 -0.2 .204/.253/.323 .119.275 127 29% 5% 56 -1.3 .177/.216/.288.111.22514328%4%29-1.1
Daz Cameron
2018 · A
21 40→45 44→55 52→55 41 .201/.263/.319 .117.279 1119 31% 6% 59 -1.1 .203/.270/.325 .122.295 1017 33% 7% 65 -0.7 .220/.291/.388.168.274202527%8%88+0.6
Travis Blankenhorn
2018 · A
21 42→43 45→55 54→50 40 .209/.270/.337 .128.288 128 31% 6% 67 -0.5 .208/.259/.341 .133.291 148 32% 5% 63 -0.8 .211/.283/.380.168.27621631%8%81+0.3
Brian McFall
2006 · A
22 39→44 46→55 51→50 37 .200/.266/.325 .125.285 1412 34% 6% 63 -0.8 .202/.261/.355 .153.278 199 34% 5% 69 -0.4 .206/.269/.358.153.27818832%6%70-0.2
Akil Baddoo
2021 · A
22 41→51 43→55 55 44 .198/.268/.314 .116.295 914 34% 8% 60 -1.0 .234/.308/.374 .140.313 1421 27% 10% 92 +1.2 .232/.314/.375.143.300152426%11%91+0.8
Romy Gonzalez
2019 · A
22 39→44 46→55 53→55 34 .196/.247/.327 .132.312 1410 40% 6% 55 -1.4 .198/.251/.317 .119.302 1212 37% 6% 54 -1.4 .258/.302/.412.153.342171628%5%96+0.7
Alexander Canario
2022 · A
22 37→34 51→60 50 37 .200/.246/.359 .159.282 2014 36% 6% 63 -0.8 .212/.272/.410 .198.294 2614 36% 7% 88 +0.9 .209/.277/.424.216.279301336%8%90+0.6
Aristides Aquino
2016 · A
22 39→40 46→65 52→50 35 .201/.236/.333 .133.265 1310 30% 3% 51 -1.7 .200/.241/.349 .149.267 178 31% 4% 58 -1.2 .218/.283/.452.234.26735933%7%98+1.0
Stuart Fairchild
2019 · A
23 45→43 40→50 53→55 41 .214/.276/.312 .098.301 714 30% 6% 63 -0.8 .215/.282/.341 .126.287 1110 28% 7% 74 -0.1 .220/.305/.384.164.292181629%8%91+0.6
Brahiam Maldonado
2008 · A
22 44 46→55 51→50 37 .219/.262/.350 .132.309 1210 33% 5% 66 -0.6 .215/.263/.346 .131.322 1410 36% 5% 66 -0.6 .200/.256/.369.169.29522938%6%67-0.4
Patrick Leonard
2015 · A
22 41→49 45 52→50 41 .208/.266/.329 .121.284 127 31% 6% 63 -0.8 .216/.275/.334 .118.314 1110 33% 6% 69 -0.4 .212/.269/.327.115.307101133%6%61-0.8
Phillip Ervin
2015 · A
23 43→52 43→50 56→55 44 .210/.266/.328 .118.264 916 24% 6% 63 -0.9 .209/.281/.330 .121.263 1223 24% 8% 71 -0.3 .238/.302/.379.141.300142124%7%88+0.7
Edward Olivares
2018 · A
22 42→52 47→55 51→55 39 .214/.266/.352 .138.266 1413 25% 4% 69 -0.4 .223/.265/.352 .129.280 1316 25% 4% 68 -0.5 .259/.316/.431.172.293201619%6%108+1.4
Carlos Guzman
2008 · A
22 40→48 43→50 53→50 44 .197/.278/.309 .112.288 119 33% 8% 64 -0.8 .221/.269/.333 .112.308 129 31% 6% 65 -0.7 .235/.287/.332.097.30810326%6%70-0.2
Alex Glenn
2013 · A
22 41→42 47→55 53→50 39 .202/.268/.341 .140.307 159 37% 7% 68 -0.5 .214/.271/.363 .149.283 1511 29% 6% 74 -0.1 .212/.263/.369.158.269161227%6%70-0.3
Kevonte Mitchell
2018 · A
22 42→40 44→45 52→50 41 .210/.264/.330 .120.282 1214 29% 6% 63 -0.9 .189/.244/.302 .113.278 129 35% 6% 47 -1.9 .162/.222/.269.107.24113637%6%28-1.9
Troy Stokes Jr.
2018 · AA
22 41→38 45→50 53→55 45 .207/.274/.329 .122.263 1220 26% 7% 67 -0.5 .197/.273/.332 .135.277 1417 32% 8% 68 -0.5 .174/.259/.299.125.247131833%8%52-1.1
Sean Bouchard
2019 · A
23 38→44 44→55 48→50 37 .196/.244/.314 .117.275 1213 33% 5% 50 -1.7 .201/.254/.332 .131.296 1310 35% 6% 59 -1.1 .223/.323/.415.191.292211629%11%106+1.0