Kyle NevinOF Tulsa Drillers
Age 24 R/R 6'3" / 200 lbs AA HR +15%K -3% Svc 0.0 · Ctrl thru 2034 peak 0.2 · 2026
wRC+†82
AVG/OBP/SLG.201 / .264 / .306
PA290
HR5
SB10
K%34
BB%7
MLB%2%
BAT: -5.8 runs (wOBA-derived runs vs avg)-6BATRUN: +1.6 runs (SB/CS + UBR baserunning)+2RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -1.7 runs (Positional adjustment)-2POSREP: +8.2 runs (Replacement-level credit)+8REPTotal WAR: +0.20+0.2WAR
Scouting · nowfuture
HIT
5050
PWR
4040
SPD
5555
EYE
4640
trajectory · 10 yrs
0.2peak
2029

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Arb-1$0.8M+0.2$0.9M+$0.0M
2030Arb-2$0.9M+0.1$0.5M+$0.0M (cut)
2031Arb-3$0.9M
2032Ext / FA-deal$0.2M
2033Ext / FA-deal$0.4M
2034Ext / FA-deal$0.6M
Totals $2M $-7M -$9M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202220 ARancho Cucamonga Quakes 7770 10510 3222 20 .143.200.243.443 .100.200 294 .189 3 -8 +0 +0 -0 +2 -0.6
202321 ARancho Cucamonga Quakes 209192 51924 14643 34 .266.325.396.721 .130.379 317 .308 94 -1 -1 +0 -1 +6 0.2
202422 A+Great Lakes Loons 519474 901246 372094 186 .190.254.270.524 .080.319 407 .233 37 -37 +1 +0 -3 +15 -2.5
202523 AA3 teams 306278 651126 21893 101 .234.295.353.647 .119.316 297 .280 72 -10 +2 +0 -2 +9 -0.1
▸ 2026 Season (actual · ROS · total)
202624 AATulsa Drillers 8174 22303 5151 40 .297.350.459.809 .162.333 196 .339 118 +2 +1 +0 -0 +2 0.4
ROS24 MLBLAD 209190 41614 15662 61 .216.280.321.601 .105.304 327 .275 69 -7 +1 +0 -1 +6 -0.2
TOT24 MLBLAD 290264 63917 20813 101 .239.300.360.660 .121.315 287 .293 82 -6 +2 +0 -2 +8 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 11%LAD 331300 671027 25963 81 .223.290.340.630 .117.299 298 .284 76 -9 +1 +0 -2 +9 -0.0
202826 MLB 26%LAD 379343 771229 301083 91 .224.293.350.642 .125.299 288 .289 79 -9 +1 +0 -2 +11 0.1
202927 MLB 44%LAD 399360 811329 321134 91 .225.295.347.643 .122.299 288 .291 81 -9 +1 +0 -2 +11 0.2
203028 MLB 53%LAD 410370 8313210 331164 91 .224.295.351.646 .127.298 288 .291 81 -9 +1 -1 -2 +12 0.1
203129 MLB 64%LAD 409369 821329 331174 81 .222.293.341.635 .119.297 298 .289 79 -10 +1 -1 -2 +12 -0.1
203230 MLB 73%LAD 406366 811329 331174 81 .221.293.342.634 .120.296 298 .285 77 -11 +1 -2 -2 +12 -0.3
203331 MLB 91%LAD 394356 781229 321163 60 .219.289.340.629 .121.294 298 .282 74 -12 +1 -3 -2 +11 -0.5
203432 MLBLAD 378341 741228 311133 50 .217.288.334.622 .117.293 308 .277 70 -13 +1 -4 -2 +11 -0.7
203533 MLBLAD 349315 661017 281073 40 .210.280.314.595 .105.292 318 .272 66 -13 +1 -4 -2 +10 -0.9
203634 MLBLAD 306276 57916 25962 40 .207.277.312.589 .105.290 318 .265 61 -13 +1 -5 -2 +9 -1.1
▸ Career Totals (MLE all levels + projections)
Career 50814600 100316028103 392154947 10918 .218.286.332.618 .114.302 308 .277 70 -171 +15 -20 -30 +144 -6.4
/ 162G 650588 12820413 501986 142 .218.285.332.617 .114.302 308 .277 70 -22 +2 -3 -4 +18 -0.8

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
202220 ARancho Cucamonga Quakes 7769 12610 4152 20 .174.240.290.530 .116.214 195 .235 38 -5 +0 +2 -0.3
202321 ARancho Cucamonga Quakes 209186 581125 20473 34 .312.388.473.861 .161.396 2210 .383 151 +12 -1 +6 1.7
202422 A+Great Lakes Loons 519457 1081558 541634 186 .236.322.344.666 .107.345 3110 .302 90 -6 +1 +15 1.0
202523 AATulsa Drillers 203181 49714 19470 90 .271.340.387.727 .116.338 239 .323 106 +1 +2 +6 0.9
202523 A+Great Lakes Loons 7663 17413 11132 11 .270.395.508.903 .238.298 1714 .398 163 +5 -0 +2 0.8
202523 ROKACL Dodgers 2723 7300 271 00 .304.385.435.819 .130.412 267 .356 130 +1 +0 +1 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
Kyle Nevin (OGILVIE) 24 50 40 55 40 .201/.264/.306 .106.297 56 34% 7% 57 -0.6
Kevin Heller
2014 · AA
24 42→47 40 52→50 40 .204/.265/.291 .088.294 710 32% 6% 53 -1.5 .208/.287/.309 .101.309 911 33% 7% 68 -0.5 .203/.290/.304.100.30691233%8%66-0.5
Brandon Lockridge
2021 · A
24 40→50 44→45 50→65 37 .199/.247/.317 .118.283 1112 33% 5% 52 -1.6 .224/.273/.354 .130.321 1421 33% 5% 72 -0.2 .254/.322/.337.083.35835327%8%84+0.4
Barrett Barnes
2015 · A
24 42→52 45 51→50 42 .211/.272/.329 .118.281 1214 29% 6% 66 -0.6 .225/.291/.346 .121.294 1113 26% 7% 79 +0.3 .220/.296/.347.127.31012731%7%78+0.1
Sheldon Neuse
2019 · AAA
24 47→53 42→45 48→45 35 .225/.261/.324 .100.335 97 35% 5% 59 -1.1 .229/.277/.353 .124.330 146 33% 6% 74 -0.1 .239/.289/.366.127.32515730%6%79+0.2
Patrick Leonard
2017 · AAA
24 46→49 44→45 51→50 39 .219/.279/.343 .124.323 1110 34% 6% 72 -0.2 .214/.265/.325 .111.313 1010 33% 6% 62 -0.9 .211/.263/.319.108.30610933%6%56-1.0
Bubba Thompson
2022 · AA
24 43→53 47→50 56→65 35 .213/.254/.356 .142.305 1420 34% 5% 65 -0.7 .238/.279/.354 .116.337 1142 31% 5% 75 -0.0 .231/.274/.325.094.33395232%4%61-0.6
Ryan McKenna
2021 · AA
24 46→56 42→50 49→55 45 .222/.287/.328 .106.299 914 28% 7% 72 -0.2 .220/.293/.356 .136.321 1513 33% 9% 82 +0.5 .218/.295/.357.140.319161334%9%80+0.2
Brian Ruggiano
2010 · A
24 44 42→45 55 37 .213/.265/.320 .108.317 915 34% 5% 60 -1.0 .215/.271/.320 .105.295 812 28% 6% 63 -0.9 .209/.267/.316.107.27571225%6%58-0.8
Ronnie Welty
2012 · AA
24 45→49 45→50 49→45 38 .217/.273/.341 .123.323 129 35% 6% 69 -0.4 .227/.271/.384 .157.327 1611 34% 5% 79 +0.3 .269/.288/.521.252.35425831%1%118+1.0
Lane Adams
2014 · AA
24 44→45 43→50 54→60 41 .219/.270/.330 .112.292 1118 28% 6% 65 -0.7 .222/.276/.341 .119.294 1228 27% 6% 70 -0.3 .224/.277/.354.130.308153631%6%71-0.2
Riley Tirotta
2023 · A
24 43→46 41→50 49→50 40 .198/.267/.293 .095.325 814 39% 8% 54 -1.4 .206/.285/.333 .127.321 1313 37% 9% 73 -0.1 .209/.294/.344.136.315151436%9%77+0.1
Scott Heineman
2018 · AA
25 48→55 43→45 49→50 41 .227/.288/.345 .118.318 1014 30% 6% 76 +0.1 .243/.301/.367 .124.322 1214 27% 6% 88 +0.9 .251/.312/.380.129.324151626%6%93+0.6
Cade Gotta
2016 · A
24 41→51 41→45 53→55 43 .199/.262/.301 .102.275 715 29% 7% 54 -1.4 .228/.274/.331 .103.292 726 23% 6% 66 -0.6 .241/.300/.342.101.30863622%8%78+0.1
Kelvin Gutiérrez
2019 · AA
24 48→55 40→45 54→50 39 .229/.270/.324 .096.306 814 27% 5% 63 -0.9 .228/.278/.330 .102.312 1013 29% 6% 68 -0.5 .227/.281/.327.100.30110927%6%66-0.4
Corey Joyce
2022 · AA
23 41 39→45 53→50 39 .193/.262/.274 .080.300 713 36% 7% 48 -1.9 .208/.307/.328 .120.294 1212 31% 10% 82 +0.5 .212/.315/.318.105.30191429%10%80+0.2
Bradlee Beesley
2022 · AA
24 41 44→50 54→60 37 .199/.259/.318 .119.313 1219 38% 6% 58 -1.2 .202/.269/.329 .127.302 1225 35% 7% 66 -0.6 .193/.269/.328.135.286123435%7%61-0.5
Christopher Bostick
2017 · AAA
24 44→54 43→45 52→55 39 .214/.259/.328 .114.285 915 28% 5% 59 -1.1 .233/.282/.340 .107.306 89 25% 5% 72 -0.2 .235/.286/.345.110.3069725%5%72-0.2
Travis Jones
2021 · AA
25 47→50 40 52→55 40 .221/.298/.308 .088.318 821 31% 6% 72 -0.2 .208/.295/.315 .107.311 1112 33% 9% 73 -0.1 .177/.285/.273.097.265111034%11%56-0.5
Clay Fuller
2011 · AA
24 42→46 43→45 54→55 44 .207/.282/.319 .112.290 1019 31% 8% 68 -0.5 .216/.268/.334 .118.294 1315 30% 6% 66 -0.6 .215/.255/.332.117.280161529%5%56-0.7
Slade Heathcott
2015 · AA
24 47 43→45 51→50 38 .222/.273/.335 .113.326 916 34% 6% 67 -0.5 .230/.281/.335 .105.321 1010 30% 6% 71 -0.3 .230/.288/.345.115.317121030%7%74-0.1