Lyle LinC Midland RockHounds
Age 29 R/R 6'0" / 200 lbs AA HR -6%K -4% Svc 0.0 · Ctrl thru 2034 peak 0.2 · 2026
wRC+†74
AVG/OBP/SLG.221 / .290 / .328
PA136
HR2
K%23
BB%7
MLB%2%
BAT: -4.0 runs (wOBA-derived runs vs avg)-4BATRUN: -0.1 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.4 runs (Positional adjustment)+2POSREP: +3.9 runs (Replacement-level credit)+4REPTotal WAR: +0.20+0.2WAR
trajectory · 10 yrs
0.3peak
2027

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
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Extbeyond projection horizon · no WAR estimate
2033Extbeyond projection horizon · no WAR estimate
2034Extbeyond projection horizon · no WAR estimate
Totals $-3M $-3M +$0.0M

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
202124 A2 teams 200178 34801 13616 02 .191.269.253.522 .062.280 306 .227 32 -15 -1 +0 +4 +6 -0.7
202225 A+2 teams 190178 27300 8562 02 .152.197.169.365 .017.218 294 .167 -14 -24 -1 +0 +3 +5 -1.7
202326 A+Vancouver Canadians 9988 15201 6325 00 .170.263.227.490 .057.255 326 .220 27 -8 +0 +0 +2 +3 -0.4
202427 AAAmarillo Sod Poodles 5045 16301 283 00 .356.420.489.909 .133.417 164 .396 161 +3 +0 +0 +1 +1 0.6
202528 AAMidland RockHounds 112100 17200 7203 11 .170.245.190.435 .020.207 186 .203 14 -11 -0 +0 +2 +3 -0.6
▸ 2026 Season
202629 MLBOAK 136123 27512 10322 21 .220.289.325.614 .106.280 247 .282 74 -4 +0 +0 +2 +4 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202730 MLB 9%OAK 194175 38713 14463 31 .217.286.320.606 .103.280 247 .283 75 -6 +0 -2 +3 +5 0.2
202831 MLB 19%OAK 209189 42814 15503 21 .222.290.339.628 .116.280 247 .282 74 -6 +0 -3 +4 +6 0.1
202932 MLB 29%OAK 205185 41813 15503 10 .222.291.324.615 .103.279 247 .280 72 -6 +0 -4 +4 +6 -0.0
203033 MLB 40%OAK 184166 36713 13463 00 .217.286.325.611 .108.278 257 .276 69 -6 +0 -4 +3 +5 -0.2
203134 MLB 49%OAK 150136 28512 11392 00 .206.275.301.577 .096.277 267 .269 64 -6 +0 -5 +3 +4 -0.4
▸ Career Totals (MLE all levels + projections)
Career 17291563 32158620 11444035 98 .205.275.289.563 .083.270 257 .256 54 -90 -1 -17 +31 +49 -3.0
/ 162G 650588 1212228 4316513 33 .206.275.291.566 .085.269 257 .256 54 -34 -1 -7 +12 +18 -1.1

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
202124 AAAmarillo Sod Poodles 3331 7201 1101 00 .226.273.387.660 .161.300 303 .294 83 -1 +0 +1 0.0
202124 AVisalia Rawhide 167140 31800 19355 02 .221.335.279.614 .057.290 2111 .288 78 -4 -1 +5 -0.0
202225 A+Hillsboro Hops 138126 23300 9302 00 .183.248.206.455 .024.237 227 .215 23 -12 +0 +4 -0.8
202225 INTLAuckland Tuatara 5248 12101 350 02 .250.294.333.627 .083.256 106 .279 72 -2 -1 +1 -0.1
202326 A+Vancouver Canadians 9984 18301 10245 00 .214.333.286.619 .071.288 2410 .296 84 -2 +0 +3 0.1
202427 AAAmarillo Sod Poodles 5044 18401 363 00 .409.480.5681.048 .159.459 126 .466 214 +6 +0 +1 0.8
202528 AAMidland RockHounds 11293 17200 11153 11 .183.282.204.486 .022.212 1310 .232 36 -8 -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
Lyle Lin (OGILVIE) 29 .221/.290/.328 .106.280 22 23% 7% 74 -0.0
Bryan Holaday
2017 · MLB
29 45 43→45 43→40 41 .224/.271/.334 .110.277 105 23% 5% 66 -0.6 .227/.279/.354 .127.262 133 19% 5% 76 +0.0 .217/.286/.341.124.25213219%7%71-0.1
David Matranga
2006 · AAA
29 44 44→45 48→50 49 .215/.288/.336 .121.269 1013 24% 8% 75 -0.0 .203/.269/.324 .121.266 1411 28% 6% 64 -0.8 .212/.294/.334.122.28413928%8%75+0.0
Rob Johnson
2012 · MLB
30 44→52 42→45 48→50 50 .211/.291/.323 .111.269 96 24% 9% 72 -0.2 .208/.267/.322 .114.253 126 22% 7% 62 -0.9 .194/.244/.297.104.22811320%6%41-1.0
Dusty Brown
2011 · AAA
29 44 44→45 47→30 44 .217/.278/.331 .114.288 123 28% 7% 69 -0.4 .213/.280/.353 .140.269 145 25% 8% 76 +0.0 .204/.283/.358.153.24716124%9%79+0.1
Shawn McGill
2013 · AAA
29 45 42→45 46→45 43 .222/.270/.327 .105.269 1010 21% 5% 64 -0.8 .230/.284/.331 .101.284 68 20% 5% 71 -0.3 .251/.306/.355.104.3112519%5%82+0.2
Nevin Ashley
2014 · AAA
29 46→50 45 46→45 44 .227/.292/.350 .123.290 127 25% 7% 80 +0.4 .225/.287/.333 .108.291 104 25% 7% 73 -0.1 .222/.290/.320.098.29110125%7%69-0.2
Tommy Field
2016 · MLB
29 44→50 46→45 50→45 46 .222/.289/.353 .131.276 138 24% 7% 79 +0.3 .202/.262/.322 .120.250 126 24% 6% 60 -1.0 .187/.243/.293.105.23111424%5%42-1.5
Gerald Laird
2010 · MLB
30 48→47 42→50 46→50 50 .234/.300/.346 .112.272 97 17% 7% 82 +0.5 .227/.292/.336 .109.262 97 17% 7% 76 +0.1 .263/.333/.361.098.3045314%8%94+0.3
Craig Stansberry
2011 · MLB
29 46→47 42→50 44→50 48 .226/.286/.335 .109.275 109 21% 7% 73 -0.1 .220/.282/.334 .114.291 1113 27% 7% 71 -0.3 .195/.266/.297.101.27691831%8%56-0.6
Brad Davis
2012 · MLB
29 45 45→50 46→45 42 .222/.272/.345 .123.285 124 26% 6% 69 -0.4 .204/.249/.306 .102.272 98 27% 5% 50 -1.8 .167/.207/.251.085.2226727%5%15-1.2
Travis Garcia
2011 · AA
29 44 46→50 48→40 37 .223/.260/.350 .127.301 138 30% 5% 66 -0.6 .246/.287/.427 .181.319 2410 30% 5% 98 +1.6 .243/.279/.416.173.30724529%3%90+0.4
Stevie Berman
2023 · AAA
28 39 46→50 48→40 48 .200/.287/.330 .129.255 145 26% 9% 73 -0.1 .215/.296/.335 .120.285 137 27% 9% 79 +0.3 .199/.298/.266.067.2679027%12%60-0.2
Christian Lopes
2022 · AAA
29 43→51 47→45 48→50 46 .214/.294/.349 .135.290 1412 30% 8% 82 +0.5 .211/.284/.324 .113.313 1011 33% 8% 70 -0.3 .188/.264/.265.077.2884933%8%44-0.8
Omir Santos
2010 · MLB
29 48→44 41→45 42→30 43 .235/.279/.329 .094.277 93 19% 5% 68 -0.5 .222/.256/.317 .095.266 94 20% 4% 55 -1.4 .224/.243/.298.074.2865024%2%42-0.8
Devin Ivany
2011 · AAA
29 44→48 46→50 45 43 .222/.278/.355 .134.286 149 27% 7% 75 -0.0 .217/.267/.330 .113.280 119 26% 6% 63 -0.8 .210/.253/.312.102.26210523%4%49-0.5
Francisco Peña
2019 · MLB
29 44→43 46→55 47→40 41 .223/.259/.345 .122.267 145 23% 5% 64 -0.8 .221/.262/.382 .161.258 215 24% 5% 76 +0.0 .196/.243/.367.171.21626124%5%64-0.5
Xavier Fernández
2023 · AAA
28 46 44→50 46→40 44 .231/.275/.338 .107.277 126 22% 6% 69 -0.4 .242/.294/.389 .147.288 165 21% 6% 91 +1.1 .249/.308/.429.180.28920021%7%105+1.4
Tony Cruz
2016 · MLB
29 44→37 42→45 40 46 .215/.265/.320 .105.256 94 20% 6% 59 -1.1 .221/.275/.335 .114.287 124 26% 7% 69 -0.4 .220/.276/.322.102.29111227%6%65-0.3
Sergio Garcia
2009 · AAA
29 50→51 43→45 50→45 49 .242/.298/.351 .109.273 1010 16% 7% 82 +0.5 .220/.277/.309 .089.263 68 18% 6% 63 -0.9 .200/.260/.256.056.2432217%6%42-1.0
Jesus Alberto Vega
2011 · AAA
29 45 44→50 44→40 44 .224/.282/.339 .115.273 123 22% 6% 72 -0.2 .225/.280/.361 .136.274 166 24% 6% 78 +0.2 .225/.277/.362.137.27718325%5%73-0.0