Willy FanasOF St. Lucie Mets
Age 22 L/R 6'1" / 190 lbs A H +5%HR +3% Svc 0.0 · Ctrl thru 2036
wRC+†56
AVG/OBP/SLG.190 / .263 / .302
PA140
HR3
K%35
BB%8
MLB%0%
BAT: -6.9 runs (wOBA-derived runs vs avg)-7BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.8 runs (Positional adjustment)-1POSREP: +4.0 runs (Replacement-level credit)+4REPTotal WAR: -0.40-0.4WAR
Scouting · nowfuture
HIT
2025
PWR
3136
SPD
4853
EYE
4247
trajectory · 10 yrs
0.0peak
2030

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
2035Ext / FA-deal$0.4M
2036Ext / FA-deal$0.6M
Totals $3M $-13M -$16M

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
202218 ROKDSL Mets 2 115105 20110 7351 103 .190.248.219.467 .029.278 306 .208 17 -11 +1 +0 -1 +3 -0.8
202319 ROKFCL Mets 152142 20522 9680 41 .141.192.246.439 .106.247 456 .190 4 -17 +0 +0 -1 +4 -1.3
202420 A2 teams 272251 41822 16994 24 .163.225.235.460 .072.258 366 .205 15 -26 -1 +0 -2 +8 -2.2
202521 ASt. Lucie Mets 147131 20201 10705 73 .153.240.191.431 .038.311 487 .202 13 -14 +0 +0 -1 +4 -1.1
▸ 2026 Season
202622 MLBNYM 140126 24413 11502 31 .190.266.310.576 .119.284 368 .259 56 -7 +0 +0 -1 +4 -0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%NYM 217194 39715 18733 41 .201.279.325.604 .124.285 348 .271 66 -8 +0 +0 -1 +6 -0.3
202824 MLB 26%NYM 320286 591128 271044 62 .206.284.343.627 .136.286 328 .279 72 -10 +0 +0 -2 +9 -0.3
202925 MLB 43%NYM 381340 7113210 331215 82 .209.288.347.635 .138.288 329 .285 76 -10 +1 +0 -2 +11 -0.1
203026 MLB 58%NYM 420374 7814211 371336 93 .209.290.345.635 .136.288 329 .287 78 -10 +1 +0 -3 +12 -0.0
203127 MLB 83%NYM 437389 8115211 391386 93 .208.290.342.632 .134.288 329 .288 78 -11 +1 +0 -3 +12 -0.0
203228 MLBNYM 444395 8215212 401416 92 .208.290.347.637 .139.288 329 .286 77 -11 +1 -1 -3 +13 -0.1
203329 MLBNYM 441392 8115211 401426 82 .207.290.339.629 .133.287 329 .284 76 -12 +1 -1 -3 +12 -0.3
203430 MLBNYM 436388 7914211 391426 82 .204.286.335.621 .131.285 339 .281 73 -13 +1 -2 -3 +12 -0.5
203531 MLBNYM 425378 7614210 381406 71 .201.284.328.612 .127.284 339 .277 70 -14 +1 -3 -3 +12 -0.7
203632 MLBNYM 408363 721329 371365 61 .198.281.320.601 .121.282 339 .273 67 -15 +1 -4 -2 +12 -0.9
203733 MLBNYM 380338 651218 341305 50 .192.276.305.581 .112.280 349 .267 63 -16 +1 -4 -2 +11 -1.1
203834 MLBNYM 336299 561017 301174 50 .187.270.298.568 .110.278 359 .261 58 -16 +1 -5 -2 +10 -1.3
▸ Career Totals (MLE all levels + projections)
Career 54714891 96417327121 465183974 11031 .197.277.318.595 .121.285 348 .269 64 -223 +10 -20 -33 +155 -11.3
/ 162G 650581 11421314 552189 134 .196.276.315.591 .119.284 348 .269 64 -26 +1 -2 -4 +18 -1.4

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
202218 ROKDSL Mets 2 115101 26210 11241 103 .257.336.297.633 .040.329 2110 .290 80 -3 +1 +3 0.2
202319 ROKFCL Mets 152137 34933 14430 41 .248.318.423.741 .175.337 289 .326 108 +1 +0 +4 0.6
202420 ASt. Lucie Mets 225205 41531 16613 24 .200.268.268.536 .068.278 277 .247 48 -13 -1 +6 -0.8
202420 ROKFCL Mets 4739 11511 781 00 .282.404.538.943 .256.333 1715 .412 173 +4 +0 +1 0.5
202521 ASt. Lucie Mets 147128 24201 13535 73 .188.288.227.514 .039.307 369 .248 48 -9 +0 +4 -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
Willy Fanas (OGILVIE) 22 20→25 31→36 48→53 47 .190/.263/.302 .113.284 33 35% 8% 56 -0.3
Cole Roederer
2022 · A
22 40→33 41→45 50 44 .196/.269/.293 .097.285 812 32% 8% 56 -1.3 .202/.266/.324 .122.299 1311 35% 7% 63 -0.9 .179/.252/.298.118.265141136%8%49-1.0
Iverson Leonardo
2023 · A
21 37 44→50 49→50 40 .188/.259/.305 .117.281 129 36% 7% 55 -1.4 .194/.278/.291 .097.346 78 42% 9% 59 -1.1 .146/.273/.221.075.3593452%12%39-0.5
Brian Pointer
2014 · A
22 37→41 42→45 51→50 39 .184/.253/.293 .109.274 1013 35% 6% 50 -1.8 .204/.277/.329 .125.307 1312 35% 8% 69 -0.4 .204/.281/.340.136.306151236%9%69-0.3
Gage Canning
2019 · A
22 42→36 45→40 50 37 .208/.258/.335 .128.307 138 36% 6% 62 -0.9 .194/.243/.284 .090.315 79 38% 5% 41 -2.3 .191/.241/.271.080.3106838%5%33-1.9
Andry Arias
2022 · A
22 38 42→40 46→40 39 .187/.254/.288 .101.287 107 36% 7% 48 -1.9 .193/.256/.289 .096.301 85 36% 7% 49 -1.8 .160/.230/.252.091.2537337%7%25-1.2
Yeicok Calderon
2014 · A
22 35 46→45 45 33 .180/.227/.303 .123.290 145 42% 6% 40 -2.4 .206/.250/.323 .117.324 126 38% 5% 54 -1.4 .210/.245/.331.121.32412538%4%52-0.6
Kier Meredith
2022 · A
22 43 37→30 51→60 45 .202/.271/.271 .070.286 411 29% 8% 50 -1.7 .211/.307/.281 .070.293 426 27% 8% 69 -0.4 .229/.340/.278.049.30533522%10%80+0.1
Jacob Wetzel
2022 · A
22 43→34 43→45 49→50 41 .208/.279/.316 .107.311 128 35% 8% 66 -0.6 .193/.270/.302 .109.277 1112 32% 8% 59 -1.1 .180/.260/.295.115.256101432%9%50-1.0
Shawn Griffin
2009 · A
22 41 40→45 50 38 .193/.254/.284 .090.319 711 39% 7% 46 -2.0 .216/.266/.309 .093.335 67 35% 6% 57 -1.2 .240/.280/.338.098.3547233%5%68-0.2
Mitchell Hansen
2018 · A
22 40→37 43→45 51→50 39 .200/.249/.312 .112.280 1110 32% 6% 51 -1.7 .192/.240/.293 .101.282 89 33% 5% 42 -2.3 .155/.195/.238.083.2385836%4%6-2.0
Raynel Delgado
2022 · A
22 38→48 40→45 47→60 36 .188/.241/.276 .088.286 813 36% 6% 39 -2.5 .212/.279/.309 .097.297 817 29% 7% 63 -0.8 .240/.303/.338.098.32583227%7%77+0.1
Caleb Roberts
2022 · A
22 44→43 40→50 51→50 42 .204/.279/.298 .094.315 79 35% 8% 61 -1.0 .200/.278/.322 .122.302 1112 35% 8% 67 -0.5 .196/.276/.331.135.287131234%8%67-0.4
Travis Blankenhorn
2019 · A
22 40→43 45→55 51→50 38 .201/.261/.328 .127.288 117 33% 6% 61 -1.0 .215/.262/.357 .142.295 169 32% 5% 69 -0.4 .211/.283/.380.168.27621631%8%81+0.3
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
Grant Witherspoon
2019 · A
22 40→45 41→55 52→50 37 .196/.247/.291 .094.295 89 35% 6% 44 -2.1 .200/.250/.306 .106.278 1112 31% 6% 50 -1.7 .216/.275/.377.161.291211432%7%77+0.1
Mike Daniel
2007 · A
22 39→49 42→45 48→50 42 .193/.256/.293 .100.274 1011 32% 7% 50 -1.8 .232/.283/.346 .114.314 1114 28% 6% 74 -0.1 .239/.288/.351.112.317111527%6%75+0.0
Conner Capel
2019 · A
22 41→45 44→45 47→55 44 .208/.266/.330 .122.270 1111 27% 7% 63 -0.8 .210/.262/.328 .118.279 1211 28% 6% 61 -1.0 .216/.288/.339.123.271131924%8%71-0.2
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
Johnny Woodard
2007 · A
22 40→37 44→45 48→30 39 .197/.257/.309 .112.296 124 36% 7% 55 -1.4 .200/.280/.328 .128.306 143 36% 9% 70 -0.3 .188/.277/.320.131.28315136%9%64-0.4
Estee Harris
2008 · A
23 35→30 41→50 49→50 36 .178/.225/.274 .096.274 913 38% 6% 31 -3.0 .215/.262/.336 .121.370 1212 42% 5% 63 -0.8 .212/.254/.349.137.373141445%4%59-0.4