Yannic WaltherC Wilson Warbirds
Age 22 R/R 6'0" / 185 lbs A BB +10%HR +7% Svc 0.0 · Ctrl thru 2036 peak 1.0 · 2030
wRC+†32
AVG/OBP/SLG.189 / .266 / .284
PA222
HR3
K%34
BB%9
MLB%0%
BAT: -17.1 runs (wOBA-derived runs vs avg)-17BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +4.0 runs (Positional adjustment)+4POSREP: +6.3 runs (Replacement-level credit)+6REPTotal WAR: -0.70-0.7WAR
Scouting · nowfuture
HIT
2525
PWR
2020
SPD
4040
EYE
5255
trajectory · 10 yrs
1.0peak
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+1.0$9M+$8M
2032Ext / FA-deal$0.9M+0.9$4M+$3M
2033Ext / FA-deal$1.0M+0.7$3M+$2M
2034Ext / FA-deal$1M+0.5$3M+$2M
2035Ext / FA-deal$0.7M+0.3$2M+$0.9M
2036Ext / FA-deal$0.6M
Totals $5M $21M +$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
202319 ROKDSL Brewers 1 132112 17301 16542 01 .152.269.205.475 .054.271 4112 .221 27 -11 -0 +0 +2 +4 -0.5
202420 ROKACL Brewers 5146 6200 4170 01 .130.200.174.374 .043.200 338 .160 -19 -7 -0 +0 +1 +1 -0.5
202521 ACarolina Mudcats 236212 33801 21952 02 .156.238.208.446 .052.274 409 .206 16 -22 -1 +0 +4 +7 -1.3
▸ 2026 Season (actual · ROS · total)
202622 AWilson Warbirds 4944 5101 4310 10 .114.188.205.392 .091.308 638 .156 -22 -7 +0 +0 +1 +1 -0.4
ROS22 MLBMIL 173155 29613 15641 31 .187.263.297.560 .110.285 379 .247 47 -10 +0 +0 +3 +5 -0.2
TOT22 MLBMIL 222199 34714 19951 41 .171.247.276.523 .106.294 439 .227 32 -17 +0 +0 +4 +6 -0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%MIL 279249 48915 26802 41 .193.274.297.572 .104.265 299 .268 63 -12 +0 +0 +5 +8 0.2
202824 MLB 26%MIL 366325 671328 351023 51 .206.289.332.622 .126.268 2810 .276 70 -12 +1 +0 +7 +10 0.5
202925 MLB 43%MIL 415368 771529 401144 61 .209.294.334.628 .125.270 2710 .282 74 -12 +1 +0 +7 +12 0.8
203026 MLB 58%MIL 445394 8216210 441224 61 .208.294.335.629 .127.271 2710 .285 76 -12 +1 +0 +8 +13 1.0
203127 MLB 76%MIL 458405 8416210 461264 61 .207.295.331.625 .123.271 2810 .285 76 -12 +1 +0 +8 +13 1.0
203228 MLB 84%MIL 462409 8416210 461284 61 .205.292.328.620 .122.270 2810 .284 75 -13 +1 -1 +8 +13 0.9
203329 MLB 90%MIL 457404 8316210 461284 51 .205.293.329.622 .124.269 2810 .282 74 -14 +1 -1 +8 +13 0.7
203430 MLBMIL 450398 8115210 451274 50 .204.291.327.617 .123.268 2810 .278 71 -15 +1 -2 +8 +13 0.5
203531 MLBMIL 425375 741419 431224 40 .197.287.312.599 .115.266 2910 .275 68 -15 +1 -3 +8 +12 0.3
203632 MLBMIL 396350 681318 401163 30 .194.282.306.588 .111.264 2910 .270 65 -16 +1 -4 +7 +11 -0.0
203733 MLBMIL 357315 601117 361073 30 .190.280.298.578 .108.263 3010 .265 61 -16 +1 -4 +6 +10 -0.3
203834 MLBMIL 306271 50915 30942 20 .185.271.280.551 .096.261 3110 .259 56 -15 +0 -5 +5 +9 -0.6
▸ Career Totals (MLE all levels + projections)
Career 54084788 94318220106 533159646 5812 .197.284.310.593 .113.269 3010 .270 65 -214 +7 -20 +97 +153 2.3
/ 162G 650575 11322213 641926 71 .197.284.310.593 .113.268 3010 .270 65 -26 +1 -2 +12 +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
202319 ROKDSL Brewers 1 132102 24401 26372 01 .235.400.304.704 .069.348 2820 .333 113 +2 -0 +4 0.5
202420 ROKACL Brewers 5144 8300 6120 01 .182.280.250.530 .068.242 2412 .246 47 -3 -0 +1 -0.2
202521 ACarolina Mudcats 236200 401101 33692 02 .200.319.270.589 .070.298 2914 .280 72 -7 -1 +7 -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
Yannic Walther (OGILVIE) 22 25 20 40 55 .189/.266/.284 .095.283 33 34% 9% 53 -0.6
Braulio Vasquez
2021 · A
22 40 39→40 44→65 37 .193/.250/.274 .080.298 77 36% 6% 42 -2.3 .205/.278/.298 .093.301 729 32% 7% 61 -1.0 .200/.277/.293.093.28774230%7%55-0.6
Franklin Tineo
2017 · A
22 36 37→45 45→50 45 .177/.245/.250 .073.241 59 27% 7% 34 -2.8 .198/.276/.297 .099.276 810 29% 8% 60 -1.0 .201/.298/.325.124.262101225%10%74-0.0
Willy Diaz
2016 · A
22 39 38→40 43→40 46 .186/.274/.266 .080.279 64 32% 9% 52 -1.6 .188/.257/.266 .078.330 45 41% 7% 43 -2.2 .169/.224/.243.075.3182444%5%20-1.2
Payton Henry
2019 · A
22 41→31 42→45 41→30 38 .192/.261/.298 .106.318 103 40% 7% 54 -1.4 .192/.255/.296 .104.317 113 41% 5% 50 -1.7 .246/.293/.382.135.32219129%4%83+0.2
Glenn Santiago
2023 · A
22 41 41→40 46→45 40 .203/.258/.301 .098.286 88 31% 6% 52 -1.6 .200/.266/.289 .089.294 89 32% 7% 53 -1.5 .183/.256/.260.077.2697832%8%40-1.1
Rudy van Heydoorn
2010 · A
21 33 41→45 41→50 41 .168/.252/.259 .091.262 98 37% 8% 41 -2.3 .197/.275/.307 .110.307 115 36% 9% 63 -0.9 .204/.303/.338.134.29214232%11%83+0.2
Aaron McKeithan
2022 · A
22 41 39→40 49→40 40 .198/.263/.282 .084.277 67 29% 6% 50 -1.7 .218/.296/.304 .086.283 84 24% 7% 70 -0.3 .219/.302/.289.070.2807122%7%69-0.2
Gerardo Bustamante
2008 · A
22 38 39→40 43→50 40 .189/.237/.271 .082.263 74 30% 6% 35 -2.8 .197/.256/.275 .078.268 55 27% 7% 45 -2.1 .219/.256/.308.088.269111223%4%49-0.6
Andy Paz
2015 · A
22 39 38→40 45 45 .191/.251/.267 .076.256 55 26% 7% 40 -2.4 .211/.266/.279 .068.290 46 27% 7% 50 -1.8 .235/.280/.283.048.3033722%6%52-0.5
Alex Todd
2012 · A
22 40 37→40 45 39 .190/.251/.264 .074.264 45 28% 5% 40 -2.4 .220/.285/.306 .086.297 66 26% 5% 66 -0.6 .237/.305/.323.086.3176525%5%76+0.0
Claudio Finol
2022 · A
22 40 38→40 45 41 .193/.251/.277 .084.263 56 28% 6% 43 -2.2 .195/.252/.280 .085.275 79 30% 6% 45 -2.1 .195/.264/.279.084.281101232%7%48-0.5
Arturo De Freitas
2023 · A
22 35 39→45 45→40 34 .177/.225/.258 .082.279 74 38% 5% 27 -3.3 .181/.235/.260 .079.301 75 40% 6% 32 -3.0 .113/.162/.125.012.2130044%5%-37-1.5
David Narodowski
2011 · A
22 38 40 42→45 49 .189/.269/.273 .084.250 87 26% 9% 51 -1.7 .202/.266/.287 .085.275 68 27% 7% 52 -1.6 .192/.248/.264.072.2594726%7%35-0.6
Juan Zabala
2021 · A
22 39 38→40 47→50 37 .185/.248/.266 .081.290 65 36% 6% 40 -2.4 .211/.273/.305 .094.302 913 31% 7% 60 -1.0 .203/.265/.285.083.28381630%7%48-0.8
Alexander Campos
2022 · A
22 43 42→40 46→45 48 .209/.289/.317 .108.281 96 28% 9% 70 -0.3 .221/.304/.311 .090.312 86 29% 9% 75 -0.0 .236/.329/.308.072.3307628%11%83+0.2
Gilbert Gomez
2014 · A
22 42→38 37→40 41→50 43 .198/.265/.268 .069.299 47 33% 8% 46 -2.0 .183/.262/.260 .077.286 48 34% 9% 44 -2.1 .155/.245/.234.079.2404834%10%29-1.5
Deivi Mejia
2011 · A
21 40 39→40 44→30 44 .194/.265/.281 .087.269 75 29% 7% 51 -1.7 .211/.260/.303 .092.273 74 24% 5% 53 -1.5 .224/.268/.311.087.2676118%3%59-0.4
Daniel Berg
2007 · A
22 38 42→40 44→40 41 .187/.255/.292 .105.267 95 32% 7% 50 -1.8 .195/.263/.279 .084.292 64 33% 7% 50 -1.8 .189/.261/.262.073.2905234%7%41-1.2
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
Wilkin Grullon
2022 · A
22 41 37→30 46→45 41 .193/.266/.266 .072.279 54 30% 6% 48 -1.9 .194/.255/.292 .098.317 95 39% 7% 49 -1.8 .150/.205/.257.107.24312042%6%16-0.8