Dave NeelySS DSL Rangers Blue
Age 19 L/R 5'10" / 165 lbs ROK K +3% Svc 0.0 · Ctrl thru 2037 peak 2.8 · 2033
wRC+†51
AVG/OBP/SLG.196 / .263 / .284
PA98
HR1
K%33
BB%7
MLB%0%
BAT: -5.4 runs (wOBA-derived runs vs avg)-5BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +2.8 runs (Replacement-level credit)+3REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.8peak
2033

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+2.6$25M+$24M
2033Ext / FA-deal$1.0M+2.8$28M+$27M
2034Ext / FA-deal$1.0M+2.8$28M+$27M
2035Ext / FA-deal$5M+2.7$28M+$23M
2036Ext / FA-deal$8M+2.4$26M+$17M
2037Ext / FA-deal$11M+2.2$24M+$13M
Totals $28M $159M +$132M

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
202518 ROKDSL Rangers Blue 11697 11100 16682 126 .113.252.124.376 .010.367 5914 .194 7 -12 +0 +0 +1 +3 -0.8
▸ 2026 Season
202619 MLBTEX 9890 18311 7321 10 .200.265.289.554 .089.290 337 .252 51 -5 +0 +0 +1 +3 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%TEX 188168 36614 16582 41 .214.290.333.624 .119.299 319 .281 73 -6 +0 +0 +2 +5 0.2
202821 MLB 28%TEX 323287 641128 29954 72 .223.303.359.662 .136.300 299 .297 86 -5 +1 +0 +3 +9 0.8
202922 MLB 48%TEX 422375 8615311 391205 102 .229.310.373.684 .144.301 289 .307 93 -3 +1 +0 +5 +12 1.5
203023 MLB 65%TEX 488432 10017314 471366 123 .231.315.382.697 .150.301 2810 .314 98 -1 +1 +0 +5 +14 2.0
203124 MLB 82%TEX 531467 10918316 531466 133 .233.319.388.707 .154.301 2710 .318 102 +1 +1 +0 +6 +15 2.4
203225 MLBTEX 557489 11519417 561527 143 .235.322.395.717 .160.302 2710 .321 104 +2 +2 +0 +6 +16 2.6
203326 MLBTEX 571500 11920418 591567 143 .238.327.402.729 .164.303 2710 .323 105 +3 +2 +0 +6 +16 2.8
203427 MLBTEX 575503 11920418 601587 143 .237.326.400.726 .163.303 2710 .323 105 +3 +2 +0 +6 +16 2.8
203528 MLBTEX 572500 11820418 601587 132 .236.326.400.726 .164.302 2810 .322 104 +3 +2 -1 +6 +16 2.7
203629 MLBTEX 564493 11419317 591577 122 .231.322.385.707 .154.302 2810 .320 103 +2 +2 -1 +6 +16 2.4
203730 MLBTEX 555484 11219317 591577 101 .231.324.388.712 .157.300 2811 .316 100 +0 +2 -2 +6 +16 2.2
203831 MLBTEX 541473 10818316 571556 70 .228.319.381.700 .152.299 2911 .313 97 -2 +1 -3 +6 +15 1.9
203932 MLBTEX 523457 10317315 551536 50 .225.317.374.691 .149.297 2911 .308 94 -4 +1 -4 +6 +15 1.5
204033 MLBTEX 494433 9415313 521476 30 .217.310.356.665 .139.296 3011 .303 90 -6 +1 -4 +5 +14 1.0
204134 MLBTEX 447393 8413311 461375 10 .214.304.346.650 .132.294 3110 .296 85 -8 +0 -5 +5 +13 0.5
204235 MLBTEX 393346 711129 401254 00 .205.295.327.621 .121.292 3210 .288 79 -9 +0 -6 +4 +11 0.0
204336 MLBTEX 333293 59927 341093 00 .201.291.317.608 .116.289 3310 .280 72 -10 +0 -6 +4 +9 -0.4
▸ Career Totals (MLE all levels + projections)
Career 82917280 164027151230 844241998 15231 .225.314.371.685 .146.302 2910 .308 94 -57 +18 -31 +89 +235 25.9
/ 162G 650571 12821418 661908 122 .224.313.370.683 .145.301 2910 .308 94 -4 +2 -2 +7 +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
202518 ROKDSL Rangers Blue 11687 20300 26432 126 .230.417.264.682 .034.444 3722 .335 114 +2 +0 +3 0.5

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
Dave Neely (OGILVIE) 19 .196/.263/.284 .088.290 11 33% 7% 51 -0.3
Oneil Cruz
2018 · A
19 41→51 41→60 45→55 35 .200/.243/.293 .093.310 89 37% 5% 43 -2.2 .217/.257/.339 .122.316 1210 34% 5% 62 -0.9 .241/.304/.442.201.317252231%8%103+1.7
Jackson Merrill
2022 · A
19 45→55 36→55 52→50 39 .211/.260/.286 .076.314 39 32% 6% 48 -1.9 .251/.293/.383 .132.306 1312 22% 5% 88 +0.9 .266/.310/.441.174.301191018%6%107+1.9
Carlos Jimenez
2022 · A
19 39→41 42→50 53→55 44 .191/.270/.293 .102.283 1011 34% 8% 56 -1.3 .199/.283/.318 .119.317 1115 37% 9% 69 -0.4 .216/.296/.349.133.314151933%9%78+0.1
Bo Naylor
2019 · A
19 44→43 39→55 52→50 46 .211/.278/.300 .089.298 69 30% 8% 60 -1.0 .194/.251/.313 .119.273 117 31% 7% 53 -1.5 .216/.308/.399.183.269221228%11%97+1.2
Nomar Mazara
2014 · A
19 37→47 43→55 44→40 38 .186/.243/.298 .111.278 114 36% 6% 46 -2.0 .220/.278/.352 .132.287 153 28% 7% 75 -0.0 .249/.312/.421.172.29021322%8%99+1.5
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
Jazz Chisholm Jr.
2017 · A
19 42→51 43→60 49→60 34 .206/.248/.311 .105.320 1111 38% 5% 50 -1.7 .204/.255/.341 .137.318 1611 39% 6% 62 -0.9 .248/.322/.446.198.304273627%9%113+2.3
Justin Crawford
2023 · A
19 46→56 37→45 51→60 41 .213/.274/.288 .076.314 517 32% 7% 56 -1.3 .272/.317/.374 .102.360 633 25% 6% 95 +1.4 .294/.339/.402.108.38074123%6%107+1.7
Josue Briceño
2023 · A
18 39→41 42→60 44→40 38 .195/.242/.294 .099.280 105 33% 6% 43 -2.2 .222/.286/.353 .131.282 144 25% 8% 78 +0.2 .228/.304/.389.161.27319223%9%94+0.6
Michael Harris II
2021 · A
20 44→54 39→55 52→55 41 .212/.263/.298 .086.291 610 28% 6% 53 -1.5 .258/.304/.406 .148.329 1421 25% 5% 99 +1.7 .278/.321/.456.177.328212121%5%116+2.7
Victor Arias
2023 · A
19 46 38→45 49→50 43 .205/.282/.285 .080.335 411 37% 9% 59 -1.1 .215/.299/.323 .108.322 916 33% 9% 76 +0.1 .219/.297/.335.116.314101831%8%75+0.0
Rio Ruiz
2013 · A
19 43→52 38→50 52→40 41 .204/.260/.295 .091.293 46 30% 7% 51 -1.7 .225/.288/.341 .116.290 96 24% 8% 75 -0.0 .223/.289/.369.145.26517322%8%81+0.2
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
Yonathan Perlaza
2018 · A
19 40→50 37→60 48→50 37 .195/.235/.273 .078.279 412 31% 5% 34 -2.8 .213/.257/.285 .072.313 49 31% 6% 46 -2.0 .235/.307/.417.182.303191228%9%100+1.6
Angel Ortiz
2022 · A
19 42→40 41→50 46→40 44 .207/.262/.297 .091.272 99 27% 7% 53 -1.5 .205/.256/.301 .096.278 87 27% 6% 51 -1.7 .210/.263/.325.115.27610327%6%59-0.6
Rowdy Tellez
2014 · A
19 41→50 39→60 51→45 43 .199/.255/.290 .091.270 65 28% 6% 48 -1.9 .229/.281/.344 .115.286 124 23% 6% 73 -0.1 .249/.317/.464.215.28629124%8%114+1.6
Eliezer Álvarez
2014 · A
19 38→48 38→45 49→55 44 .184/.247/.265 .081.244 512 26% 7% 39 -2.5 .230/.280/.335 .105.294 513 22% 6% 70 -0.3 .255/.310/.365.110.34061925%6%88+0.5
Nick Weglarz
2007 · A
19 42→47 39→50 47→45 39 .199/.254/.284 .085.305 66 35% 6% 46 -2.0 .219/.296/.368 .149.290 174 29% 9% 87 +0.8 .225/.314/.383.158.27517524%10%97+1.0
Mickey Moniak
2017 · A
19 45→54 37→60 51→50 39 .212/.260/.295 .083.290 411 27% 5% 51 -1.7 .207/.242/.300 .093.288 58 29% 4% 44 -2.1 .246/.285/.451.204.307261128%4%101+1.4
Josh Lowe
2017 · A
19 43→53 42→55 46→60 44 .201/.278/.303 .102.324 95 38% 10% 62 -0.9 .202/.260/.303 .101.318 914 37% 7% 53 -1.5 .255/.314/.435.180.350203131%8%108+1.9