Nomar VelasquezSS DSL CLE Mendoza
Age 21 L/R 5'9" / 158 lbs ROK BB +7% Svc 0.0 · Ctrl thru 2037 peak 2.1 · 2031
wRC+†76
AVG/OBP/SLG.221 / .293 / .332
PA115
HR2
K%26
BB%8
MLB%0%
BAT: -3.1 runs (wOBA-derived runs vs avg)-3BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.2 runs (Positional adjustment)+1POSREP: +3.3 runs (Replacement-level credit)+3REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
5257
PWR
3136
SPD
5459
EYE
4954
trajectory · 10 yrs
2.1peak
2031

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+2.1$20M+$19M
2033Ext / FA-deal$1.0M+2.0$20M+$19M
2034Ext / FA-deal$1.0M+1.9$19M+$18M
2035Ext / FA-deal$3M+1.7$18M+$14M
2036Ext / FA-deal$5M+1.4$15M+$10M
2037Ext / FA-deal$5M+1.1$12M+$7M
Totals $16M $104M +$88M

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 CLE Blue 159140 27111 11325 194 .193.276.236.511 .043.239 207 .223 29 -13 +2 +0 +2 +5 -0.4
202318 ROKDSL Guardians Red 133121 26410 11361 213 .215.286.264.550 .050.306 278 .248 48 -8 +3 +0 +1 +4 0.0
202419 ROKDSL CLE Mendoza 8174 15100 5151 54 .203.263.216.479 .014.250 196 .229 33 -6 -1 +0 +1 +2 -0.4
202520 ROKDSL CLE Mendoza 138119 27201 12314 91 .227.319.269.587 .042.292 229 .269 64 -6 +1 +0 +1 +4 0.1
▸ 2026 Season
202621 MLBPIT 115104 23412 9301 21 .221.289.337.626 .115.290 268 .285 76 -3 +0 +0 +1 +3 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%PIT 195174 40714 17482 41 .230.306.351.656 .121.292 259 .299 87 -3 +0 +0 +2 +6 0.5
202823 MLB 28%PIT 310276 651227 28743 72 .236.313.370.682 .134.294 249 .307 93 -2 +1 +0 +3 +9 1.1
202924 MLB 45%PIT 391348 8315210 36924 92 .239.317.379.696 .141.294 249 .313 97 -1 +1 +0 +4 +11 1.5
203025 MLB 60%PIT 438389 9417311 411025 112 .242.322.386.707 .144.295 239 .316 100 +0 +1 +0 +5 +12 1.9
203126 MLB 77%PIT 467414 10018312 451095 112 .242.323.386.710 .145.296 2310 .318 101 +1 +1 +0 +5 +13 2.1
203227 MLB 92%PIT 479424 10118312 471125 112 .238.321.380.701 .142.296 2310 .318 102 +1 +1 +0 +5 +14 2.1
203328 MLBPIT 483427 10218312 481145 112 .239.323.379.702 .141.296 2410 .317 101 +0 +1 -1 +5 +14 2.0
203429 MLBPIT 478423 10118312 471145 112 .239.322.381.703 .142.295 2410 .315 99 -0 +1 -1 +5 +14 1.9
203530 MLBPIT 471416 9817312 471145 101 .236.321.377.698 .142.294 2410 .312 97 -2 +2 -2 +5 +13 1.7
203631 MLBPIT 459406 9417211 451135 91 .232.316.365.680 .133.293 2510 .309 94 -3 +1 -3 +5 +13 1.4
203732 MLBPIT 442390 9016210 441115 80 .231.317.359.676 .128.292 2510 .304 91 -5 +2 -4 +5 +13 1.1
203833 MLBPIT 413365 821429 411074 80 .225.310.348.658 .123.291 2610 .299 87 -6 +2 -4 +4 +12 0.8
203934 MLBPIT 368325 721228 36984 70 .222.307.345.651 .123.290 2710 .293 82 -7 +1 -5 +4 +10 0.4
204035 MLBPIT 315279 611026 30873 60 .219.301.333.635 .115.289 2810 .286 77 -8 +1 -6 +3 +9 -0.0
204136 MLBPIT 258229 48814 25742 50 .210.293.306.599 .096.287 2910 .278 71 -9 +1 -6 +3 +7 -0.4
204237 MLBPIT 195173 36613 18582 40 .208.290.306.597 .098.284 309 .268 64 -8 +1 -7 +2 +6 -0.7
▸ Career Totals (MLE all levels + projections)
Career 67886016 138523538147 643167176 18830 .230.312.355.668 .125.292 259 .301 89 -87 +26 -38 +73 +192 16.8
/ 162G 650576 13323414 621607 183 .231.313.358.671 .127.294 2510 .301 89 -8 +2 -4 +7 +18 1.6

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 CLE Blue 159132 32111 19215 194 .242.359.288.647 .045.277 1312 .303 90 -2 +2 +5 0.5
202318 ROKDSL Guardians Red 133113 35510 19241 213 .310.414.372.785 .062.393 1814 .363 136 +5 +3 +4 1.2
202419 ROKDSL CLE Mendoza 8171 19200 8101 54 .268.350.296.646 .028.306 1210 .300 87 -1 -1 +2 0.1
202520 ROKDSL CLE Mendoza 138112 33301 19214 91 .295.415.348.763 .054.348 1514 .351 126 +4 +1 +4 1.0

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
Nomar Velasquez (OGILVIE) 21 52→57 31→36 54→59 54 .221/.293/.332 .111.290 22 26% 8% 76 +0.0
TJ Friedl
2017 · A
21 48→53 42→50 51→55 42 .228/.286/.337 .109.309 810 28% 6% 73 -0.1 .226/.293/.326 .100.295 615 24% 7% 74 -0.1 .246/.337/.381.136.276151816%10%103+1.8
Nicky Lopez
2017 · A
22 47→57 42→40 56→55 51 .229/.303/.336 .107.265 917 17% 8% 81 +0.4 .248/.301/.331 .083.281 514 13% 6% 77 +0.1 .256/.317/.334.078.29441413%8%82+0.4
Edgar Rondon
2016 · A
21 50 38→40 52→50 45 .230/.302/.320 .090.314 312 26% 7% 76 +0.0 .214/.283/.288 .074.342 311 35% 7% 59 -1.1 .171/.249/.199.028.33901245%7%20-0.7
Brandon Roberts
2006 · A
21 49→59 39→40 57→55 43 .236/.287/.322 .086.295 620 22% 5% 69 -0.4 .251/.298/.318 .067.312 423 20% 5% 72 -0.2 .276/.331/.345.070.33042217%5%91+0.6
Richi Sanchez
2015 · A
21 49 38→45 49→50 54 .230/.313/.315 .085.291 58 21% 10% 79 +0.3 .213/.274/.290 .077.279 37 23% 7% 56 -1.3 .202/.252/.280.079.2550620%6%40-0.6
Adrian Cardenas
2009 · AA
21 51→57 40 53→50 45 .246/.291/.339 .092.297 713 20% 6% 75 -0.0 .259/.307/.352 .093.307 59 16% 6% 85 +0.7 .269/.318/.358.090.3125815%6%90+0.9
Justin Yurchak
2018 · A
21 51→61 44→40 49→40 52 .249/.317/.367 .118.295 124 20% 9% 94 +1.3 .228/.288/.319 .091.284 72 21% 8% 69 -0.4 .273/.337/.381.107.33711221%8%103+1.1
Sal Frelick
2022 · A
22 52→60 41→45 55 48 .247/.306/.350 .103.310 716 22% 8% 85 +0.7 .264/.324/.374 .110.307 818 16% 7% 98 +1.6 .265/.329/.365.100.30672015%8%94+1.1
Carlos Vidal
2017 · A
21 49 42→45 49→50 48 .238/.307/.349 .111.292 912 21% 8% 85 +0.7 .225/.272/.314 .089.289 57 23% 5% 61 -1.0 .225/.269/.312.087.2884622%5%55-0.7
Colt Keith
2023 · A
21 49→53 46→55 53→45 45 .236/.300/.372 .137.327 138 31% 8% 89 +0.9 .251/.308/.410 .159.313 185 25% 7% 102 +1.8 .253/.314/.408.154.30718423%8%102+1.6
Drew Cumberland
2010 · A
21 52 37→45 55 50 .245/.306/.325 .080.283 417 15% 7% 78 +0.2 .265/.311/.386 .121.314 1019 18% 5% 96 +1.5 .307/.337/.452.146.361142518%3%121+1.8
Noah Mendlinger
2022 · A
21 48→58 39→40 45 51 .228/.304/.321 .093.288 57 22% 9% 77 +0.1 .241/.330/.319 .078.292 48 17% 9% 89 +0.9 .264/.349/.334.069.3122814%8%97+1.1
Drake Baldwin
2023 · A
22 48→53 38→50 50→30 47 .220/.298/.300 .081.318 58 30% 9% 69 -0.4 .236/.307/.376 .140.295 163 24% 9% 93 +1.3 .265/.334/.430.166.29822119%9%118+1.8
Cory Spangenberg
2012 · A
21 49→55 40→50 52→55 41 .234/.281/.320 .087.311 717 26% 5% 66 -0.6 .248/.286/.331 .083.331 522 25% 5% 70 -0.3 .266/.314/.391.126.343111824%6%94+0.9
Brice Turang
2021 · A
21 45→55 36→45 54→60 50 .211/.287/.276 .065.284 316 25% 9% 58 -1.2 .230/.292/.324 .094.293 822 23% 8% 72 -0.2 .273/.346/.393.120.333123520%10%107+1.7
Carlos Mendoza
2022 · A
22 52→56 36→40 55 57 .240/.334/.313 .073.289 318 17% 10% 89 +0.9 .240/.343/.312 .072.309 314 21% 12% 92 +1.2 .252/.341/.336.084.31161919%9%94+0.9
Alek Thomas
2021 · A
21 50→52 42→50 48→50 43 .241/.293/.352 .111.314 810 25% 6% 79 +0.3 .243/.298/.388 .145.306 1311 24% 7% 92 +1.2 .243/.296/.389.146.295141122%6%87+0.7
Leo Rivas
2019 · A
21 44→54 37→40 52→65 51 .204/.293/.279 .075.289 414 28% 10% 62 -0.9 .196/.276/.281 .085.293 69 32% 9% 56 -1.3 .238/.354/.331.093.32094425%14%100+1.2
Brandon Marsh
2019 · A
21 47→57 42→50 52→50 41 .223/.282/.334 .110.330 910 33% 7% 71 -0.3 .223/.283/.328 .105.333 813 33% 7% 70 -0.3 .262/.344/.424.163.366161630%11%115+2.2
Davis Bradshaw
2019 · A
21 52 37→40 58→50 45 .241/.297/.320 .079.307 318 22% 6% 73 -0.1 .226/.272/.288 .062.291 211 22% 4% 53 -1.5 .274/.326/.342.068.34531020%5%88+0.5