Nick Roselli2B St. Lucie Mets
Age 23 L/R 5'10" / 200 lbs A H +5%HR +3% Svc 0.0 · Ctrl thru 2036 peak 0.4 · 2029
wRC+†62
AVG/OBP/SLG.198 / .267 / .318
PA320
HR7
SB5
K%33
BB%7
MLB%0%
BAT: -13.7 runs (wOBA-derived runs vs avg)-14BATRUN: +0.7 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -0.30-0.3WAR
Scouting · nowfuture
HIT
3535
PWR
4040
SPD
4545
EYE
4840
trajectory · 10 yrs
0.4peak
2029

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+0.3$1M+$0.5M
2032Ext / FA-deal$0.9M+0.2$1.0M+$0.0M
2033Ext / FA-deal$1.0M
2034Ext / FA-deal$0.2M
2035Ext / FA-deal$0.4M
2036Ext / FA-deal$0.6M
Totals $4M $-6M -$10M
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
202421 ASt. Lucie Mets 6859 15211 7262 30 .254.353.373.726 .119.438 3810 .308 94 -0 +1 +0 +0 +2 0.2
202522 A2 teams 347314 531318 241266 72 .169.241.293.534 .124.250 367 .231 35 -25 +1 +0 +1 +10 -1.4
▸ 2026 Season
202623 MLBNYM 320290 591227 231054 51 .203.271.331.602 .128.283 337 .266 62 -14 +1 +0 +1 +9 -0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%NYM 376339 701429 291195 62 .206.279.339.618 .133.284 328 .276 70 -13 +0 +0 +1 +11 -0.1
202825 MLB 25%NYM 425383 8016210 341305 72 .209.282.339.621 .131.286 318 .283 75 -12 +1 +0 +2 +12 0.2
202926 MLB 42%NYM 455409 8717212 371386 72 .213.288.352.640 .139.287 308 .287 78 -11 +1 +0 +2 +13 0.4
203027 MLB 58%NYM 468420 9018212 391416 72 .214.290.352.643 .138.287 308 .288 78 -11 +1 +0 +2 +13 0.4
203128 MLB 68%NYM 471423 8917212 391436 71 .210.286.345.631 .135.286 308 .287 78 -12 +1 -1 +2 +13 0.3
203229 MLB 77%NYM 467419 8817212 391436 71 .210.287.346.633 .136.286 318 .285 76 -13 +1 -1 +2 +13 0.2
203330 MLB 84%NYM 460412 8617211 391436 61 .209.287.340.626 .131.284 318 .281 74 -14 +1 -2 +2 +13 -0.0
203431 MLB 91%NYM 448401 8216210 381416 50 .204.283.329.612 .125.282 318 .278 71 -15 +1 -3 +2 +13 -0.2
203532 MLBNYM 431387 7815210 361385 50 .202.278.328.606 .127.281 328 .273 67 -16 +1 -4 +2 +12 -0.5
203633 MLBNYM 402360 721429 341315 40 .200.278.325.603 .125.279 338 .268 63 -17 +1 -4 +1 +11 -0.8
203734 MLBNYM 358321 611217 301204 40 .190.268.299.567 .109.277 348 .261 58 -17 +1 -5 +1 +10 -1.0
▸ Career Totals (MLE all levels + projections)
Career 54964937 101020025130 448174472 8014 .205.280.334.615 .130.285 328 .276 69 -191 +10 -20 +20 +156 -2.5
/ 162G 650584 11924315 532069 92 .204.281.332.613 .128.284 328 .276 69 -23 +1 -2 +2 +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
202421 ASt. Lucie Mets 6855 17211 10182 30 .309.426.436.863 .127.444 2615 .389 156 +4 +1 +2 0.7
202522 A+Brooklyn Cyclones 139125 17711 12412 12 .136.223.232.455 .096.193 299 .214 22 -12 -1 +4 -0.9
202522 ASt. Lucie Mets 208180 42807 21554 60 .233.327.394.721 .161.297 2610 .321 104 +1 +1 +6 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
Nick Roselli (OGILVIE) 23 35 40 45 40 .198/.267/.318 .120.283 75 33% 7% 62 -0.5
Anthony Seigler
2022 · A
23 41→39 41→45 44→55 45 .195/.271/.299 .104.290 86 34% 9% 58 -1.2 .192/.292/.304 .112.255 1014 26% 12% 69 -0.4 .200/.299/.321.122.247122723%12%74-0.1
Jacob Wetzel
2023 · A
23 39→34 44→45 50 45 .197/.277/.309 .111.273 1210 31% 8% 63 -0.8 .192/.266/.304 .112.282 1013 33% 8% 57 -1.2 .182/.255/.299.117.27381634%8%48-0.9
Christopher Familia
2023 · A
23 40 45→55 47→45 45 .204/.281/.326 .122.262 138 27% 7% 70 -0.3 .219/.278/.391 .172.284 224 30% 6% 85 +0.7 .215/.266/.411.196.27028032%5%81+0.2
Sean Coughlin
2008 · A
23 41→38 41→50 44→30 41 .197/.264/.296 .099.292 94 34% 7% 54 -1.4 .212/.283/.344 .132.258 152 23% 8% 75 -0.0 .210/.282/.344.134.24516121%8%75-0.0
Michael Pérez
2016 · A
23 35 41→50 42→40 42 .179/.244/.278 .099.260 94 33% 8% 41 -2.3 .208/.262/.308 .100.277 83 27% 6% 56 -1.3 .224/.284/.351.127.28614026%7%75-0.0
Randy Florentino
2023 · A
23 36 41→50 47→45 40 .183/.244/.273 .090.273 97 35% 7% 40 -2.4 .196/.244/.284 .088.259 96 27% 6% 42 -2.3 .184/.224/.260.076.2317423%4%25-1.0
Matthew Sweeney
2011 · AA
23 42→41 44→50 49→45 41 .207/.267/.325 .119.293 114 32% 7% 63 -0.9 .184/.247/.296 .112.270 104 34% 7% 47 -1.9 .152/.219/.263.111.21611134%7%24-1.3
Cole Roederer
2023 · AA
23 42→33 45 47→50 40 .210/.267/.331 .122.301 1312 34% 7% 64 -0.8 .196/.266/.316 .120.294 1311 35% 8% 61 -1.0 .172/.254/.285.112.260131136%9%46-1.2
Isan Díaz
2019 · AAA
23 39→40 46→55 48→45 43 .198/.269/.330 .132.286 1410 34% 8% 66 -0.6 .209/.280/.354 .145.285 177 31% 8% 76 +0.1 .204/.284/.367.164.26321530%9%75+0.0
Matt Wallach
2009 · A
23 41 47→45 46→40 40 .207/.264/.348 .141.279 143 31% 6% 68 -0.5 .212/.269/.325 .113.262 113 23% 6% 63 -0.8 .214/.286/.331.117.24614319%7%73-0.1
Kendall Simmons
2023 · A
23 36 47→50 49→50 38 .190/.256/.326 .136.273 1510 35% 6% 59 -1.1 .205/.269/.352 .147.297 179 35% 6% 72 -0.2 .199/.264/.350.151.29018736%6%66-0.2
Drew Robinson
2015 · AAA
23 38→41 44→55 48→50 42 .188/.261/.307 .119.286 119 36% 8% 56 -1.3 .195/.271/.352 .157.280 1812 35% 9% 72 -0.2 .207/.288/.362.155.320171237%10%78+0.1
Tristan Gray
2019 · A
23 38→34 47→55 42→40 39 .198/.249/.339 .141.275 146 33% 6% 59 -1.1 .202/.266/.351 .149.261 174 29% 7% 70 -0.3 .186/.246/.354.168.23523332%6%60-0.7
Jackson Cluff
2021 · A
24 40→29 42→45 51→55 40 .197/.258/.305 .108.275 1012 31% 6% 54 -1.4 .182/.252/.277 .095.281 812 36% 6% 45 -2.1 .181/.273/.314.132.266142835%10%61-0.6
Cody Morissette
2023 · A
23 38→29 45 45→50 42 .198/.261/.319 .121.265 145 30% 7% 59 -1.1 .183/.236/.304 .121.246 1410 31% 6% 44 -2.1 .168/.220/.283.115.223141431%5%30-2.1
Daniel Cabrera
2022 · AA
23 40→42 46→45 48→45 38 .204/.247/.332 .128.276 138 31% 5% 56 -1.3 .211/.268/.314 .103.275 97 25% 7% 59 -1.1 .212/.278/.299.088.2706723%8%58-0.8
Orlando Martinez
2021 · A
23 43→44 45→50 44→45 41 .218/.263/.339 .120.281 137 27% 6% 64 -0.8 .214/.257/.340 .126.291 138 30% 5% 62 -0.9 .224/.282/.338.114.27710722%7%71-0.2
Luis Santana
2022 · AA
23 40 42→45 47→50 40 .200/.259/.300 .100.270 1010 29% 6% 53 -1.5 .216/.274/.342 .126.277 149 26% 6% 70 -0.3 .207/.266/.330.122.25815725%5%61-0.6
Steven Lerud
2008 · A
23 36→42 42→45 43→40 37 .183/.245/.290 .107.272 104 35% 6% 45 -2.1 .207/.271/.313 .106.285 104 30% 6% 62 -0.9 .202/.293/.284.082.2917230%9%62-0.3
Tyler Grimes
2013 · A
23 38 42→40 47→40 41 .187/.266/.294 .107.282 98 35% 8% 55 -1.4 .206/.282/.301 .095.307 75 33% 7% 63 -0.8 .207/.285/.293.087.3116232%7%60-0.6