Wes Kath3B Winston-Salem Dash
Age 23 L/R 6'3" / 200 lbs A+ BB +6%HR -6% Svc 0.0 · Ctrl thru 2035
wRC+†19
AVG/OBP/SLG.145 / .208 / .247
PA298
HR6
K%51
BB%6
MLB%0%
BAT: -27.3 runs (wOBA-derived runs vs avg)-27BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +8.4 runs (Replacement-level credit)+8REPTotal WAR: -1.80-1.8WAR
Scouting · nowfuture
HIT
2020
PWR
2525
SPD
4040
EYE
4030
trajectory · 10 yrs
-1.3peak
2029

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
2031Arb-3$0.9M
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$0.2M
2034Ext / FA-deal$0.4M
2035Ext / FA-deal$0.6M
Totals $-10M $-49M -$39M
Underwater contract
Projected production over the remaining contract is worth -$39M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
202118 ROKACL White Sox 115107 13012 5623 10 .121.183.196.379 .075.256 544 .161 -19 -15 +0 +0 +0 +3 -1.2
202219 A2 teams 501454 691508 402484 20 .152.227.238.465 .086.303 508 .211 19 -46 +0 +0 +2 +14 -3.0
202320 A+Winston-Salem Dash 389360 40715 242343 70 .111.173.178.351 .067.285 606 .162 -18 -52 +1 +0 +1 +11 -3.9
202421 A+Winston-Salem Dash 459416 6712215 2621613 63 .161.233.308.541 .147.278 476 .234 37 -33 +0 +0 +2 +13 -1.8
202522 A+2 teams 188175 21501 8994 11 .120.176.166.342 .046.263 534 .154 -24 -26 -0 +0 +1 +5 -2.1
▸ 2026 Season
202623 MLBCWS 298274 40816 171525 31 .146.209.248.458 .102.286 516 .210 19 -27 +0 +0 +1 +8 -1.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%CWS 344314 501018 221645 41 .159.226.274.500 .115.288 486 .226 31 -27 +0 +0 +1 +10 -1.6
202825 MLB 25%CWS 396360 6012110 271816 41 .167.237.289.526 .122.289 467 .236 39 -27 +0 +0 +1 +11 -1.5
202926 MLB 43%CWS 429390 6613111 301916 51 .169.239.292.532 .123.290 457 .242 44 -27 +1 +0 +2 +12 -1.3
203027 MLB 58%CWS 442401 6813111 321956 51 .170.241.289.531 .120.291 447 .244 45 -27 +1 +0 +2 +13 -1.3
203128 MLB 68%CWS 447405 6813111 321987 41 .168.241.286.527 .119.290 447 .243 44 -28 +0 -1 +2 +13 -1.4
203229 MLB 86%CWS 443402 6713111 321976 41 .167.239.286.525 .119.289 447 .241 43 -29 +0 -1 +2 +13 -1.6
203330 MLBCWS 436395 6513110 321966 30 .165.238.278.516 .114.287 457 .238 40 -29 +1 -2 +2 +12 -1.7
203431 MLBCWS 424384 6312110 311926 10 .164.238.279.516 .115.285 457 .234 37 -30 +0 -3 +2 +12 -1.9
203532 MLBCWS 407368 591119 301866 00 .160.235.269.504 .109.283 467 .230 34 -30 +0 -4 +1 +12 -2.1
203633 MLBCWS 378343 541018 271765 00 .157.229.262.492 .105.281 477 .224 30 -30 +0 -4 +1 +11 -2.3
203734 MLBCWS 334303 47917 241584 00 .155.227.261.487 .106.279 477 .218 25 -28 +0 -5 +1 +9 -2.3
▸ Career Totals (MLE all levels + projections)
Career 64305851 91717616143 439304595 5011 .157.227.266.493 .109.287 477 .224 29 -512 +6 -20 +23 +182 -32.8
/ 162G 650591 9318214 4430810 51 .157.228.266.493 .108.290 477 .224 29 -52 +1 -2 +2 +18 -3.3

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
202118 ROKACL White Sox 115104 22023 8423 10 .212.287.337.623 .125.322 377 .284 75 -3 +0 +3 0.0
202219 AABirmingham Barons 5247 8100 4231 00 .170.250.191.441 .021.333 448 .214 22 -5 +0 +1 -0.3
202219 AKannapolis Cannon Ballers 449383 9120113 601483 20 .238.345.397.742 .159.347 3313 .334 114 +7 +0 +13 2.1
202320 A+Winston-Salem Dash 389347 671328 371683 70 .193.276.311.588 .118.341 4310 .268 64 -16 +1 +11 -0.4
202421 A+Winston-Salem Dash 459399 9021216 4315513 63 .226.321.409.729 .183.322 349 .325 107 +4 +0 +13 1.7
202522 A+Winston-Salem Dash 171154 23801 12694 11 .149.229.221.450 .071.259 407 .212 21 -15 -0 +5 -1.1
202522 ROKACL White Sox 1716 6000 140 00 .375.412.375.787 .000.500 246 .360 134 +1 +0 +0 0.1

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
Wes Kath (OGILVIE) 23 20 25 40 30 .145/.208/.247 .102.286 63 51% 6% 19 -1.9
Robby Martin Jr.
2023 · A
23 37 40 42→50 32 .179/.225/.271 .092.300 77 41% 5% 30 -3.1 .199/.240/.291 .092.291 811 33% 5% 42 -2.3 .201/.239/.287.086.27691330%4%37-1.3
Shervyen Newton
2022 · A
23 35→30 41→45 42→40 31 .166/.222/.256 .090.320 94 48% 6% 26 -3.4 .175/.239/.295 .120.314 134 45% 7% 44 -2.1 .160/.224/.284.124.27015244%7%32-1.7
Aaron Bracho
2023 · A
22 30→38 42→45 44→40 38 .161/.227/.260 .099.254 104 39% 7% 30 -3.1 .194/.258/.324 .130.261 165 31% 7% 59 -1.1 .192/.255/.327.134.24318429%7%56-0.7
Travis Maezes
2017 · A
23 33 46→45 42→45 32 .172/.223/.297 .125.293 154 45% 6% 37 -2.6 .181/.239/.297 .116.309 136 43% 6% 43 -2.2 .154/.219/.255.101.26012444%7%23-1.6
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
Jose King
2022 · A
23 39 39→40 49→50 34 .187/.237/.270 .083.310 611 40% 5% 35 -2.8 .201/.243/.303 .102.314 98 37% 4% 46 -2.0 .193/.223/.303.109.28110434%3%37-0.9
Jimmy Pickens
2015 · A
23 37 39→40 48→45 35 .184/.230/.270 .086.284 67 36% 5% 32 -3.0 .197/.242/.284 .087.298 68 34% 5% 40 -2.4 .200/.237/.291.091.2906832%4%37-1.6
Tristen Lutz
2022 · AA
23 39→38 44→45 40 34 .190/.247/.303 .113.313 125 41% 6% 49 -1.8 .206/.275/.341 .135.346 165 42% 7% 71 -0.3 .192/.272/.328.136.32918144%9%64-0.3
Chad McClanahan
2021 · A
23 38→31 39→40 44→45 43 .182/.257/.262 .079.276 76 34% 8% 43 -2.2 .177/.251/.270 .093.348 95 47% 8% 43 -2.2 .129/.211/.214.085.27910153%9%11-2.2
Logan Moore
2014 · A
23 34 38→40 43→30 40 .172/.229/.246 .074.246 64 31% 6% 26 -3.4 .197/.247/.284 .087.271 73 28% 6% 43 -2.2 .195/.242/.287.092.27010031%6%40-0.9
Shane Matheny
2019 · A
23 37→42 39→45 41→50 35 .184/.237/.261 .077.294 85 39% 6% 33 -2.9 .183/.239/.277 .094.288 104 38% 6% 38 -2.6 .191/.281/.316.125.30014938%10%64-0.5
Kenny Diekroeger
2014 · A
23 31 39→40 41→45 30 .164/.202/.239 .075.269 94 42% 4% 11 -4.4 .201/.243/.277 .076.278 79 29% 5% 39 -2.5 .216/.259/.287.071.27771124%5%45-1.1
Ignacio Valdez
2018 · A
23 32 47→45 43→50 36 .168/.238/.295 .127.287 153 45% 7% 43 -2.2 .187/.241/.285 .098.331 95 43% 6% 41 -2.3 .137/.165/.201.064.2474045%3%-17-1.2
Leandro Emiliani
2023 · A
23 35 45→50 48→30 37 .183/.242/.304 .121.273 143 37% 6% 47 -1.9 .190/.248/.292 .102.299 94 37% 6% 46 -2.0 .163/.224/.237.074.2685039%6%22-1.6
Kevin Mahoney
2010 · A
23 39→41 42→45 46→40 35 .182/.251/.293 .110.314 106 42% 7% 48 -1.9 .204/.270/.313 .109.301 104 33% 7% 62 -0.9 .210/.275/.324.114.28312329%7%64-0.4
Mateo Gil
2023 · A
23 38→32 42→45 43→45 35 .192/.234/.294 .102.287 106 36% 5% 40 -2.4 .184/.226/.298 .114.264 125 34% 5% 38 -2.6 .166/.206/.281.115.22913433%4%22-2.2
Seth Gray
2022 · A
24 37→38 42→45 49→50 39 .182/.260/.280 .098.288 106 38% 7% 50 -1.8 .195/.271/.303 .108.322 1211 40% 8% 60 -1.0 .192/.271/.298.106.325131442%8%55-0.9
Michel Triana
2023 · A
23 36→27 45→50 49→50 35 .181/.247/.302 .121.293 139 41% 6% 50 -1.8 .177/.240/.280 .103.289 99 39% 7% 40 -2.4 .105/.169/.165.060.1823641%7%-22-1.8
Dylan Rosa
2019 · A
23 38→31 44→45 44→45 38 .188/.250/.303 .115.301 126 40% 7% 50 -1.8 .194/.246/.312 .118.295 138 37% 5% 50 -1.7 .171/.225/.295.124.27516842%5%35-1.2
Nick Decker
2023 · A
23 36 44→45 49→50 38 .174/.253/.288 .114.306 1210 44% 8% 48 -1.9 .167/.238/.288 .121.312 1312 47% 7% 42 -2.3 .136/.206/.264.128.253141449%7%19-1.4