Qyshawn LegitoC DSL Reds
Age 20 R/R 5'10" / 181 lbs ROK HR +9%K -4% Svc 0.0 · Ctrl thru 2037 peak 2.5 · 2032
wRC+†56
AVG/OBP/SLG.202 / .268 / .294
PA77
HR1
K%31
BB%7
MLB%0%
BAT: -3.9 runs (wOBA-derived runs vs avg)-4BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.4 runs (Positional adjustment)+1POSREP: +2.2 runs (Replacement-level credit)+2REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
2.5peak
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+2.5$24M+$23M
2033Ext / FA-deal$1.0M+2.5$25M+$24M
2034Ext / FA-deal$1.0M+2.4$24M+$23M
2035Ext / FA-deal$4M+2.2$23M+$19M
2036Ext / FA-deal$6M+2.0$22M+$15M
2037Ext / FA-deal$7M+1.6$18M+$10M
Totals $21M $135M +$114M

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
202418 ROKDSL Reds 4335 5001 6172 20 .143.302.229.531 .086.235 4014 .255 53 -2 +0 +0 +1 +1 0.0
202519 ROKDSL Reds 8579 13300 6320 03 .165.224.203.426 .038.277 387 .202 13 -8 -1 +0 +2 +2 -0.6
▸ 2026 Season
202620 MLBCIN 7770 15311 6241 10 .214.286.329.614 .114.290 318 .258 56 -4 +0 +0 +1 +2 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%CIN 165149 32613 13482 31 .215.287.329.615 .114.293 298 .281 74 -5 +0 +0 +3 +5 0.3
202822 MLB 28%CIN 299268 591027 26843 61 .220.296.351.647 .131.294 289 .295 84 -5 +1 +0 +5 +8 0.9
202923 MLB 48%CIN 391349 8014310 351074 82 .229.307.372.679 .143.295 279 .304 91 -4 +1 +0 +7 +11 1.5
203024 MLB 62%CIN 454405 9316313 411225 92 .230.308.380.688 .151.295 279 .309 95 -3 +1 +0 +8 +13 2.0
203125 MLB 80%CIN 490436 10017314 461315 102 .229.310.378.689 .149.296 279 .313 98 -1 +1 +0 +9 +14 2.3
203226 MLB 94%CIN 511451 10518315 491366 102 .233.316.386.702 .153.296 2710 .315 99 -1 +1 +0 +9 +14 2.5
203327 MLBCIN 520459 10618315 501396 102 .231.315.381.696 .150.296 2710 .315 99 -1 +1 +0 +9 +15 2.5
203428 MLBCIN 520459 10618315 501406 91 .231.315.381.696 .150.296 2710 .314 98 -1 +1 -1 +9 +15 2.4
203529 MLBCIN 515455 10518315 501405 81 .231.314.382.696 .152.295 2710 .311 97 -2 +1 -1 +9 +15 2.2
203630 MLBCIN 507447 10117314 501405 70 .226.311.371.682 .145.294 2810 .308 94 -3 +1 -2 +9 +14 2.0
203731 MLBCIN 479424 9516313 471345 40 .224.309.368.677 .144.292 2810 .305 91 -5 +1 -3 +9 +14 1.6
203832 MLBCIN 447396 8815312 431285 20 .222.306.366.672 .144.291 2910 .300 88 -6 +0 -4 +8 +13 1.2
203933 MLBCIN 407361 7713210 391194 00 .213.297.343.641 .130.289 2910 .294 83 -8 +0 -4 +7 +12 0.7
204034 MLBCIN 354314 671129 341073 00 .213.296.347.643 .134.288 3010 .288 79 -9 +0 -5 +6 +10 0.3
204135 MLBCIN 296263 55927 28923 00 .209.293.338.631 .129.285 319 .280 73 -9 +0 -6 +5 +8 -0.1
204236 MLBCIN 238212 42715 22772 00 .198.280.311.591 .113.282 329 .272 66 -9 +0 -6 +4 +7 -0.5
▸ Career Totals (MLE all levels + projections)
Career 67986032 134422941179 641191772 8917 .223.305.363.668 .141.294 289 .301 89 -86 +11 -31 +121 +193 21.2
/ 162G 650577 12922417 611837 92 .224.305.364.669 .140.295 289 .301 89 -8 +1 -3 +12 +18 2.0

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
202418 ROKDSL Reds 4331 8002 10112 20 .258.465.452.917 .194.333 2623 .419 179 +4 +0 +1 0.6
202519 ROKDSL Reds 8574 20600 11220 03 .270.365.351.716 .081.385 2613 .330 111 +1 -1 +2 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
Qyshawn Legito (OGILVIE) 20 .202/.268/.294 .092.290 11 31% 7% 56 -0.2
Derek Norris
2009 · A
20 40→50 42→55 49→50 43 .194/.269/.300 .106.295 96 35% 9% 58 -1.2 .209/.301/.372 .163.281 206 31% 11% 91 +1.1 .254/.332/.403.149.31115522%10%106+1.6
Alex Liddi
2009 · A
20 42→52 40→60 49→50 38 .202/.249/.300 .098.290 79 32% 5% 48 -1.9 .240/.291/.399 .159.335 167 32% 6% 92 +1.2 .241/.296/.424.182.33620533%6%99+1.7
Luis Torrens
2016 · A
20 42→49 38→55 49→30 44 .201/.271/.276 .075.277 55 28% 7% 52 -1.6 .207/.270/.291 .084.263 64 22% 7% 55 -1.4 .228/.285/.376.148.28819027%7%82+0.3
Eddys Leonard
2021 · A
20 42→46 40→50 46→45 45 .200/.274/.295 .095.288 79 31% 8% 59 -1.1 .227/.293/.378 .151.302 175 29% 7% 89 +0.9 .224/.290/.376.152.29017428%6%83+0.5
David Bote
2013 · A
20 43→48 38→55 50→45 43 .200/.271/.286 .086.293 48 31% 8% 54 -1.4 .190/.266/.272 .082.263 56 28% 8% 50 -1.8 .234/.308/.397.164.29819627%8%95+1.0
Agustín Ramírez
2022 · A
20 37→45 43→55 44→50 39 .188/.245/.301 .113.275 114 34% 6% 47 -1.9 .223/.286/.366 .143.284 1611 26% 8% 82 +0.5 .230/.293/.405.176.264221622%7%92+1.1
Samad Taylor
2018 · A
20 45→53 37→50 51→65 41 .213/.268/.288 .076.300 410 29% 6% 53 -1.5 .183/.255/.284 .101.259 722 30% 8% 47 -1.9 .236/.312/.377.141.324164630%9%94+0.8
Chun-Hsiu Chen
2010 · A
21 43→53 41→50 48→45 40 .209/.263/.306 .097.302 86 32% 7% 55 -1.4 .250/.309/.388 .138.334 124 27% 7% 96 +1.5 .256/.318/.393.137.34712428%8%99+1.3
Tyler Stephenson
2017 · A
20 41→51 38→50 43→30 39 .197/.249/.277 .080.290 63 33% 6% 42 -2.3 .216/.283/.315 .099.290 93 27% 7% 67 -0.5 .253/.327/.399.146.32316125%9%102+1.3
Lane Thomas
2016 · A
20 43→51 37→55 51→55 42 .200/.259/.277 .077.294 39 32% 7% 46 -2.0 .194/.260/.302 .108.313 1013 38% 8% 54 -1.4 .248/.312/.427.179.308211325%7%107+2.0
Brendan Rodgers
2016 · A
19 43→53 40→50 46→45 39 .205/.255/.298 .093.301 77 33% 6% 50 -1.8 .224/.267/.352 .128.288 145 27% 4% 69 -0.4 .253/.308/.383.131.29813019%6%93+0.8
Pedro Severino
2012 · A
19 38→48 39→50 49→45 40 .187/.241/.272 .084.263 65 30% 6% 37 -2.6 .189/.233/.264 .075.239 53 22% 4% 31 -3.0 .246/.315/.384.137.30417324%8%95+0.7
Tucker Mitchell
2022 · A
21 43 39→50 51→45 39 .202/.262/.293 .090.301 67 33% 6% 52 -1.6 .193/.267/.305 .112.296 138 37% 7% 59 -1.1 .178/.253/.291.113.25315734%7%47-0.8
Andres Regnault
2018 · A
19 39 38→55 47→45 39 .185/.251/.256 .071.289 66 36% 7% 39 -2.5 .226/.287/.352 .126.291 137 26% 6% 79 +0.3 .248/.309/.417.169.29019621%6%103+0.7
Emmanuel Rivera
2016 · A
20 40→50 35→55 48→45 45 .185/.261/.247 .062.282 312 33% 9% 40 -2.4 .222/.269/.320 .098.293 77 25% 5% 61 -1.0 .246/.303/.412.166.29319422%7%97+1.1
Tim Beckham
2009 · A
19 42→52 38→55 49→50 38 .202/.248/.282 .080.290 57 31% 5% 43 -2.2 .219/.267/.307 .088.310 510 29% 5% 57 -1.2 .248/.301/.421.173.31922428%6%100+1.3
Yairo Muñoz
2015 · A
20 41→51 38→50 48→55 42 .195/.251/.276 .081.262 47 26% 6% 43 -2.2 .218/.254/.321 .103.267 109 22% 4% 56 -1.3 .270/.315/.386.116.325111820%5%92+0.6
Michael Wing
2009 · A
20 45→53 39→55 50→40 39 .213/.258/.303 .090.291 56 28% 5% 52 -1.6 .230/.279/.345 .115.304 94 26% 6% 72 -0.2 .244/.285/.411.167.30419326%4%91+0.7
Kyle Higashioka
2010 · A
20 45→43 40→60 49→40 41 .215/.267/.304 .089.290 77 28% 6% 56 -1.3 .191/.240/.293 .102.234 103 23% 5% 43 -2.2 .229/.276/.416.187.27225426%6%88+0.4
Brandon Barnes
2006 · A
20 38→48 38→55 47→50 37 .187/.241/.269 .081.271 67 32% 5% 37 -2.7 .181/.227/.256 .075.277 57 34% 5% 27 -3.3 .244/.289/.369.125.331121629%5%80+0.3