Wilson WeberC Beloit Sky Carp
Age 24 R/R 6'1" / 222 lbs A+ HR -4%BB +3% Svc 0.0 · Ctrl thru 2035 peak 0.8 · 2030
wRC+†61
AVG/OBP/SLG.200 / .268 / .299
PA75
HR1
K%32
BB%7
MLB%0%
BAT: -3.3 runs (wOBA-derived runs vs avg)-3BATRUN: -0.1 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.3 runs (Positional adjustment)+1POSREP: +2.1 runs (Replacement-level credit)+2REPTotal WAR: +0.00+0.0WAR
trajectory · 10 yrs
0.8peak
2030

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+0.8$4M+$3M
2031Arb-3$0.9M+0.7$3M+$2M
2032Ext / FA-deal$0.9M+0.6$3M+$2M
2033Ext / FA-deal$0.4M+0.3$1M+$1M
2034Ext / FA-deal$5M+0.1$0.5M-$5M
2035Ext / FA-deal$0.6M
Totals $9M $11M +$2M
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
202523 A+Beloit Sky Carp 7265 8101 3424 10 .123.208.185.393 .062.318 584 .157 -22 -10 +0 +0 +1 +2 -0.6
▸ 2026 Season (actual · ROS · total)
202624 A+Beloit Sky Carp 3226 6100 4150 11 .231.333.269.603 .038.462 4712 .271 66 -1 -0 +0 +1 +1 0.0
ROS24 MLBMIA 4339 8101 3141 10 .205.279.308.587 .103.300 337 .261 58 -2 +0 +0 +1 +1 0.0
TOT24 MLBMIA 7565 14201 7291 21 .215.301.292.594 .077.351 399 .265 61 -3 +0 +0 +1 +2 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 10%MIA 129115 24412 11372 21 .209.289.313.602 .104.290 299 .279 72 -4 +0 +0 +2 +4 0.2
202826 MLB 25%MIA 234209 45815 20673 42 .215.293.335.628 .120.292 299 .288 78 -6 +0 +0 +4 +7 0.5
202927 MLB 43%MIA 298268 601127 25843 52 .224.297.358.656 .134.292 288 .290 80 -7 +0 +0 +5 +8 0.7
203028 MLB 52%MIA 340304 671228 29964 62 .220.297.352.649 .132.292 289 .289 80 -8 +0 -1 +6 +10 0.8
203129 MLB 63%MIA 359321 711328 311034 52 .221.298.349.647 .128.291 299 .287 78 -9 +0 -1 +6 +10 0.7
203230 MLB 73%MIA 370331 721328 321074 51 .218.294.341.636 .124.289 299 .284 76 -10 +1 -2 +7 +10 0.6
203331 MLB 90%MIA 355317 671227 311044 31 .211.290.328.618 .117.288 299 .280 73 -11 +0 -3 +6 +10 0.3
203432 MLBMIA 333297 621117 291004 10 .209.288.323.611 .114.286 309 .276 69 -12 +0 -4 +6 +9 0.1
203533 MLBMIA 298268 541015 25913 00 .201.277.302.579 .101.285 318 .270 65 -12 +0 -4 +5 +8 -0.2
203634 MLBMIA 253227 45814 21803 00 .198.275.295.570 .097.283 328 .264 60 -11 +0 -5 +5 +7 -0.5
▸ Career Totals (MLE all levels + projections)
Career 30842761 5831041563 26092539 3311 .211.288.328.616 .117.291 308 .278 71 -101 +2 -20 +55 +87 2.4
/ 162G 650582 12322313 551958 72 .211.288.326.615 .115.292 308 .278 71 -21 +1 -4 +12 +18 0.5

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
202523 A+Beloit Sky Carp 7264 11101 4314 10 .172.264.234.498 .062.312 436 .239 41 -5 +0 +2 -0.3

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
Wilson Weber (OGILVIE) 24 .200/.268/.299 .099.291 11 32% 7% 57 -0.2
Dylan Neuse
2023 · A
24 37 39→40 49→50 44 .183/.260/.264 .081.271 814 33% 9% 45 -2.1 .205/.286/.296 .091.292 713 29% 9% 63 -0.8 .211/.301/.305.094.29351327%10%72-0.1
Jason Lopez
2022 · AA
24 38 42→50 52→45 40 .189/.250/.291 .102.286 1011 36% 7% 46 -2.0 .204/.266/.313 .109.307 119 35% 7% 59 -1.1 .164/.224/.258.094.23510033%7%25-0.6
Carson Blair
2014 · A
24 38 44→50 45→30 40 .187/.254/.308 .121.292 116 38% 8% 53 -1.5 .202/.276/.338 .136.333 134 40% 9% 70 -0.3 .191/.269/.325.133.31814141%9%62-0.4
Blake Hunt
2023 · AA
24 38 43→50 49→40 38 .190/.248/.301 .111.281 115 35% 6% 49 -1.8 .209/.266/.343 .134.276 145 29% 6% 67 -0.5 .206/.268/.347.141.26215227%6%67-0.3
David Sheaffer
2019 · A
24 37 42→55 52→40 39 .188/.235/.290 .102.252 107 29% 5% 40 -2.4 .209/.253/.332 .123.291 135 32% 5% 59 -1.1 .191/.236/.303.112.26912133%5%42-0.7
Cam Devanney
2022 · AA
25 36→42 41→55 45 40 .183/.249/.273 .090.263 98 32% 6% 43 -2.2 .213/.275/.368 .155.278 187 29% 7% 78 +0.2 .219/.282/.386.166.27919728%7%82+0.4
Willie MacIver
2021 · A
24 37→35 43→45 49→55 37 .190/.236/.299 .109.254 119 30% 4% 43 -2.2 .194/.260/.318 .124.282 1415 35% 7% 59 -1.1 .230/.309/.359.129.323131830%8%87+0.4
Corey Joyce
2022 · AA
23 41 39→45 53→50 39 .193/.262/.274 .080.300 713 36% 7% 48 -1.9 .208/.307/.328 .120.294 1212 31% 10% 82 +0.5 .212/.315/.318.105.30191429%10%80+0.2
Vito Friscia
2021 · A
24 43 40→45 49→40 42 .208/.266/.303 .094.290 75 30% 7% 56 -1.3 .211/.293/.327 .116.322 124 35% 10% 75 -0.0 .200/.291/.320.120.30413235%10%71-0.2
Sicnarf Loopstok
2017 · A
24 43→37 43→50 50 38 .211/.270/.324 .114.293 1012 30% 5% 64 -0.8 .213/.281/.365 .152.300 189 34% 7% 80 +0.4 .204/.280/.377.174.28122734%7%84+0.4
Bryan Holaday
2012 · AA
24 42 41→45 48→40 41 .206/.264/.302 .095.280 97 29% 6% 55 -1.4 .216/.266/.302 .086.273 75 22% 5% 56 -1.3 .217/.286/.341.124.25213219%7%71-0.1
Blaze Alexander
2022 · A
23 38→48 42→50 52→50 39 .185/.256/.288 .103.292 1114 38% 7% 49 -1.8 .218/.290/.354 .136.331 1511 36% 7% 81 +0.4 .220/.308/.345.126.328131034%8%84+0.4
Nick Quintana
2022 · A
24 33→40 43→45 47→45 44 .172/.252/.279 .107.245 116 33% 8% 46 -2.0 .191/.275/.301 .110.267 115 30% 9% 61 -1.0 .177/.269/.279.102.24610330%10%50-0.8
Chase Strumpf
2022 · AA
24 42→35 44→50 48→45 44 .203/.282/.321 .118.296 117 33% 8% 69 -0.4 .196/.293/.355 .159.317 195 41% 10% 83 +0.6 .180/.284/.345.165.29321342%11%73-0.1
Jake Rogers
2019 · AA
24 38→40 47→55 48→45 41 .196/.261/.330 .133.269 159 32% 7% 62 -0.9 .203/.278/.366 .163.280 206 33% 8% 79 +0.3 .206/.283/.412.206.26529133%8%91+0.6
Andrew Navigato
2022 · AA
24 41→40 44→60 46→50 44 .202/.279/.318 .116.282 1212 31% 8% 67 -0.5 .221/.280/.382 .161.276 1914 27% 6% 84 +0.6 .220/.279/.406.186.266231726%6%87+0.6
Skye Bolt
2018 · A
24 40→39 42→50 46→50 40 .196/.254/.307 .111.282 98 33% 7% 53 -1.5 .204/.266/.339 .135.293 1412 33% 7% 66 -0.6 .234/.302/.369.135.310151228%8%86+0.3
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
J.E. Cruz
2006 · A
25 39→48 42→45 52→45 43 .195/.263/.294 .099.270 1012 30% 7% 53 -1.5 .210/.281/.310 .100.285 78 27% 8% 65 -0.7 .207/.282/.309.102.2796626%8%63-0.5
Riley Tirotta
2023 · A
24 43→46 41→50 49→50 40 .198/.267/.293 .095.325 814 39% 8% 54 -1.4 .206/.285/.333 .127.321 1313 37% 9% 73 -0.1 .209/.294/.344.136.315151436%9%77+0.1