Ludwin TejadaC DSL Brewers 1
Age 21 L/R 5'10" / 175 lbs ROK BB +10%HR +7% Svc 0.0 · Ctrl thru 2037 peak 1.9 · 2032
wRC+†55
AVG/OBP/SLG.203 / .268 / .293
PA43
HR1
K%30
BB%7
MLB%0%
BAT: -2.2 runs (wOBA-derived runs vs avg)-2BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.8 runs (Positional adjustment)+1POSREP: +1.2 runs (Replacement-level credit)+1REPTotal WAR: +0.00+0.0WAR
trajectory · 10 yrs
1.9peak
2032

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2032
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Ext / FA-deal$0.9M+1.9$18M+$17M
2033Ext / FA-deal$1.0M+1.8$18M+$17M
2034Ext / FA-deal$1.0M+1.6$16M+$15M
2035Ext / FA-deal$3M+1.4$15M+$12M
2036Ext / FA-deal$3M+1.1$12M+$8M
2037Ext / FA-deal$3M+0.7$4M+$0.9M
Totals $12M $82M +$70M

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
202217 ROKDSL Brewers 1 7064 14110 6140 20 .219.286.266.551 .047.280 209 .241 43 -5 +0 +0 +1 +2 -0.1
202318 ROKDSL Brewers 1 5349 6101 2151 00 .122.173.204.377 .082.147 284 .166 -15 -7 +0 +0 +1 +2 -0.5
202419 ROKDSL Brewers 1 4234 5100 592 11 .147.293.176.469 .029.192 2112 .222 28 -3 -0 +0 +1 +1 -0.2
▸ 2026 Season
202621 MLBMIL 4340 8101 3130 10 .200.256.300.556 .100.289 307 .257 55 -2 +0 +0 +1 +1 0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%MIL 113102 22412 9331 20 .216.286.333.619 .118.291 298 .278 71 -4 +0 +0 +2 +3 0.2
202823 MLB 28%MIL 247222 51926 20693 41 .230.302.369.671 .140.293 288 .291 81 -5 +0 +0 +4 +7 0.7
202924 MLB 45%MIL 347311 701229 29954 61 .225.299.363.663 .138.294 278 .299 87 -5 +1 +0 +6 +10 1.2
203025 MLB 60%MIL 407365 8314311 351104 71 .227.302.373.675 .145.295 279 .304 91 -4 +1 +0 +7 +12 1.6
203126 MLB 77%MIL 444397 9116312 391205 71 .229.306.375.681 .146.295 279 .307 93 -4 +1 +0 +8 +13 1.8
203227 MLB 92%MIL 463414 9516313 411265 71 .229.307.377.683 .147.295 279 .307 93 -4 +1 +0 +8 +13 1.9
203328 MLBMIL 470420 9616313 421285 71 .229.306.374.680 .145.295 279 .306 92 -4 +1 -1 +8 +13 1.8
203429 MLBMIL 468417 9516313 431295 61 .228.308.374.682 .146.294 289 .304 91 -5 +1 -1 +8 +13 1.6
203530 MLBMIL 462412 9316312 421295 50 .226.305.367.672 .141.293 289 .300 88 -6 +1 -2 +8 +13 1.4
203631 MLBMIL 437390 8715311 401244 20 .223.302.362.663 .138.291 289 .297 85 -7 +0 -3 +8 +12 1.1
203732 MLBMIL 409365 7913210 371184 00 .216.296.345.641 .129.290 299 .292 82 -8 +0 -4 +7 +12 0.7
203833 MLBMIL 369330 711229 331093 00 .215.292.345.638 .130.288 309 .287 77 -9 +0 -4 +7 +10 0.4
203934 MLBMIL 319284 601027 29973 00 .211.291.335.626 .123.286 309 .280 73 -10 +0 -5 +6 +9 -0.0
204035 MLBMIL 263236 48825 23832 00 .203.280.318.597 .114.284 329 .273 67 -10 +0 -6 +5 +7 -0.3
204136 MLBMIL 207185 37614 18672 00 .200.278.308.586 .108.281 329 .264 60 -9 +0 -6 +4 +6 -0.6
▸ Career Totals (MLE all levels + projections)
Career 56335037 111118736139 496158858 578 .221.298.355.653 .134.291 289 .293 82 -112 +8 -31 +101 +160 12.7
/ 162G 650581 12822416 571837 71 .220.298.355.652 .134.291 289 .293 82 -13 +1 -4 +12 +18 1.5

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
202217 ROKDSL Brewers 1 7060 17110 1090 20 .283.386.333.719 .050.333 1314 .335 115 +1 +0 +2 0.4
202318 ROKDSL Brewers 1 5347 8201 4101 00 .170.250.277.527 .106.189 198 .240 42 -3 +0 +2 -0.2
202419 ROKDSL Brewers 1 4231 6100 862 11 .194.390.226.616 .032.231 1419 .306 93 -0 -0 +1 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
Ludwin Tejada (OGILVIE) 21 .203/.268/.293 .090.289 11 30% 7% 55 -0.1
Parker Meadows
2021 · A
21 40→47 41→55 46→55 42 .197/.253/.288 .091.267 99 29% 7% 47 -1.9 .203/.263/.335 .132.270 1412 29% 7% 64 -0.8 .225/.292/.400.175.278202126%8%91+1.1
Daniel Schneemann
2019 · A
22 39→49 40→50 50 43 .189/.254/.283 .094.277 76 33% 8% 46 -2.0 .211/.272/.298 .087.290 78 28% 7% 57 -1.2 .226/.305/.377.151.297151328%10%89+0.7
Ashton McGee
2021 · A
22 41 39→50 50→40 41 .194/.258/.283 .089.288 55 33% 7% 48 -1.9 .206/.290/.322 .116.364 113 42% 10% 72 -0.2 .191/.284/.307.117.34612244%11%63-0.4
Niko Goodrum
2013 · A
21 40→50 39→55 51→55 41 .191/.252/.280 .089.282 58 33% 7% 44 -2.1 .212/.279/.299 .087.310 516 30% 8% 61 -1.0 .231/.306/.406.174.310181630%9%97+1.0
Tirso Ornelas
2021 · A
21 40→50 37→50 51→45 44 .192/.255/.266 .074.272 56 30% 8% 42 -2.3 .219/.280/.322 .103.296 86 27% 7% 67 -0.5 .245/.303/.373.128.30214723%7%87+0.8
Rubel Cespedes
2022 · A
21 35→45 39→45 49→40 36 .174/.227/.260 .085.263 66 35% 5% 28 -3.2 .212/.263/.316 .104.302 94 31% 6% 58 -1.2 .219/.271/.328.109.29711329%6%62-0.6
Jack Suwinski
2019 · A
21 40→41 41→60 47→50 41 .198/.255/.292 .094.272 86 29% 6% 49 -1.8 .193/.259/.320 .127.287 146 35% 8% 59 -1.1 .210/.307/.421.211.281281034%11%102+1.6
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
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
Emmanuel Rivera
2017 · A
21 40→50 37→55 49→45 43 .190/.250/.266 .075.266 310 28% 7% 40 -2.4 .234/.273/.341 .107.295 96 23% 4% 68 -0.5 .246/.303/.412.166.29319422%7%97+1.1
Keon Broxton
2011 · A
21 38→48 41→55 53→60 36 .184/.238/.293 .109.299 710 39% 6% 41 -2.3 .196/.253/.296 .100.314 915 38% 7% 49 -1.8 .225/.301/.390.165.341173836%9%92+1.0
Randy Florentino
2022 · A
22 35 40→50 42→45 40 .174/.240/.257 .083.272 85 37% 8% 33 -2.9 .189/.243/.277 .088.263 96 30% 6% 40 -2.4 .183/.230/.260.077.2388426%5%28-1.0
Carlos Luis
2021 · A
21 43→53 36→45 47→40 40 .203/.254/.266 .063.300 35 32% 6% 41 -2.3 .224/.273/.314 .090.310 63 28% 6% 62 -0.9 .228/.277/.320.092.3048126%6%62-0.5
Gosuke Katoh
2016 · A
21 40→49 39→45 50 43 .188/.263/.273 .085.306 712 38% 9% 47 -1.9 .202/.270/.291 .089.314 611 34% 8% 55 -1.4 .217/.286/.317.100.31691232%8%65-0.5
Ezequiel Duran
2021 · A
22 38→48 39→55 52→50 33 .186/.233/.270 .084.294 78 38% 4% 33 -2.9 .226/.276/.390 .164.313 1914 33% 6% 84 +0.6 .235/.283/.404.168.313191430%5%88+0.7
Dylan Johnston
2008 · A
21 38 38→55 48→50 37 .177/.241/.253 .076.311 512 42% 7% 33 -2.9 .199/.253/.323 .124.331 148 42% 6% 56 -1.3 .188/.240/.319.131.30917543%6%47-0.8
Elias Díaz
2012 · A
21 38→48 38→50 46→45 40 .185/.232/.266 .080.243 55 26% 5% 32 -3.0 .201/.249/.282 .081.251 55 21% 5% 43 -2.2 .253/.312/.392.139.28017016%7%96+0.8
Chris Nelson
2007 · A
21 41→51 42→50 49→50 37 .204/.244/.308 .104.272 99 28% 4% 48 -1.9 .223/.274/.359 .136.280 1312 24% 6% 75 -0.0 .257/.301/.387.130.31113721%5%87+0.6
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
Travis Swaggerty
2019 · A
21 39→45 41→45 50→55 40 .195/.252/.295 .100.280 98 32% 6% 48 -1.9 .208/.273/.306 .098.298 915 31% 8% 60 -1.0 .207/.275/.308.100.30381932%8%58-0.7