Luke ShligerC Eugene Emeralds
Age 24 L/R 5'7" / 197 lbs A+ BB -3% Svc 0.0 · Ctrl thru 2035 peak 1.2 · 2029
wRC+†79
AVG/OBP/SLG.214 / .300 / .326
PA178
HR3
K%28
BB%9
MLB%0%
BAT: -4.3 runs (wOBA-derived runs vs avg)-4BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +3.2 runs (Positional adjustment)+3POSREP: +5.0 runs (Replacement-level credit)+5REPTotal WAR: +0.40+0.4WAR
Scouting · nowfuture
HIT
4545
PWR
3535
SPD
5555
EYE
5960
trajectory · 10 yrs
1.3peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M+1.2$11M+$10M
2031Arb-3$0.9M+1.1$10M+$9M
2032Ext / FA-deal$0.9M+0.9$4M+$3M
2033Ext / FA-deal$1M+0.7$3M+$2M
2034Ext / FA-deal$1M+0.4$2M+$0.7M
2035Ext / FA-deal$0.6M+0.2$1M+$0.4M
Totals $6M $32M +$26M

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
202321 ASan Jose Giants 6759 14200 6142 11 .237.328.271.600 .034.311 219 .275 69 -2 -0 +0 +1 +2 0.1
202422 A2 teams 346291 541112 4210311 114 .186.311.251.562 .065.278 3012 .266 62 -15 +1 +0 +6 +10 0.2
202523 A+Eugene Emeralds 230199 42503 21694 113 .211.299.281.581 .070.295 309 .269 64 -9 +1 +0 +4 +7 0.2
▸ 2026 Season
202624 MLBSF 178156 33613 17503 41 .212.301.321.622 .109.289 2810 .288 79 -4 +0 +0 +3 +5 0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 10%SF 235206 46915 23644 51 .223.313.350.663 .126.290 2710 .295 84 -4 +1 +0 +4 +7 0.7
202826 MLB 25%SF 311273 601117 30835 72 .220.308.344.653 .125.291 2710 .299 87 -5 +1 +0 +6 +9 1.1
202927 MLB 43%SF 351309 691318 34945 72 .223.310.350.660 .126.291 2710 .300 88 -5 +1 +0 +6 +10 1.2
203028 MLB 52%SF 376331 731418 371015 82 .221.308.341.650 .121.291 2710 .300 87 -5 +1 -1 +7 +11 1.2
203129 MLB 63%SF 384337 741418 381046 82 .220.310.338.648 .119.290 2710 .297 86 -6 +1 -1 +7 +11 1.1
203230 MLB 73%SF 388341 741418 381066 72 .217.306.334.641 .117.289 2710 .294 83 -7 +1 -2 +7 +11 0.9
203331 MLB 90%SF 368324 691317 361025 61 .213.301.324.625 .111.287 2810 .291 81 -8 +1 -3 +7 +10 0.7
203432 MLBSF 342300 641217 34975 51 .213.304.330.634 .117.286 2810 .286 77 -9 +1 -4 +6 +10 0.4
203533 MLBSF 307270 561016 30894 50 .207.296.319.615 .111.284 2910 .281 73 -9 +1 -4 +5 +9 0.2
203634 MLBSF 260230 46814 25783 40 .200.287.296.582 .096.282 3010 .274 68 -9 +1 -5 +5 +7 -0.1
203735 MLBSF 207182 36613 20643 30 .198.288.291.579 .093.280 3110 .267 62 -9 +1 -6 +4 +6 -0.4
▸ Career Totals (MLE all levels + projections)
Career 43503808 8101481379 431121871 9222 .213.304.321.625 .108.288 2810 .287 78 -108 +10 -25 +78 +123 7.9
/ 162G 650569 12122212 6418211 143 .213.304.322.626 .109.288 2810 .287 78 -16 +2 -4 +12 +18 1.2

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
202321 ASan Jose Giants 6757 17300 8102 11 .298.403.351.754 .053.362 1512 .352 127 +2 -0 +2 0.4
202422 A+Eugene Emeralds 7061 17402 7211 10 .279.362.443.805 .164.395 3010 .355 130 +2 +0 +2 0.5
202422 ASan Jose Giants 276215 491121 505010 104 .228.396.312.708 .084.291 1818 .338 117 +5 +0 +8 1.4
202523 A+Eugene Emeralds 230186 49704 34534 113 .263.388.366.754 .102.336 2315 .341 119 +5 +1 +7 1.3

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
Luke Shliger (OGILVIE) 24 45 35 55 60 .214/.300/.326 .112.289 34 28% 9% 79 +0.1
Liam Hicks
2023 · A
24 50 41→40 50→45 55 .237/.327/.338 .101.282 88 18% 10% 92 +1.2 .236/.329/.329 .093.285 86 18% 10% 91 +1.1 .236/.332/.324.088.2798417%10%88+0.6
Tanner Morris
2022 · A
24 51→53 41→40 48→40 48 .241/.316/.343 .102.323 96 26% 9% 88 +0.9 .238/.322/.332 .094.315 84 24% 10% 88 +0.9 .242/.333/.329.087.3148123%11%88+0.5
Sherman Johnson
2015 · A
25 47→50 45 52→50 52 .232/.309/.361 .129.287 1212 23% 10% 90 +1.0 .205/.284/.314 .109.257 1015 23% 10% 68 -0.5 .202/.278/.294.092.27671127%9%55-0.7
Michael Turconi
2023 · A
24 49→45 40→45 46→50 50 .236/.313/.328 .092.294 89 22% 8% 83 +0.6 .211/.292/.307 .096.311 78 31% 10% 69 -0.4 .191/.278/.276.085.2975734%10%53-0.8
Matthew Acosta
2022 · A
24 45 44→45 53→50 46 .219/.290/.343 .124.299 119 29% 8% 77 +0.1 .205/.273/.316 .111.294 1113 32% 8% 63 -0.9 .181/.252/.276.095.261101633%8%42-1.4
Terrin Vavra
2022 · AA
25 46 44→45 48→50 48 .227/.296/.347 .121.287 1112 24% 8% 81 +0.4 .250/.325/.358 .108.328 810 24% 9% 95 +1.4 .255/.330/.354.099.3347823%9%92+0.5
James Skelton
2010 · AA
24 49→58 39→40 49→50 57 .229/.321/.316 .087.295 613 23% 12% 83 +0.6 .221/.316/.311 .090.296 611 24% 12% 80 +0.4 .230/.333/.317.087.30551023%13%88+0.3
James Ramsey
2014 · AA
24 46→50 44→45 50→45 45 .220/.297/.339 .120.316 1211 32% 9% 79 +0.3 .227/.289/.354 .127.323 137 32% 7% 79 +0.3 .224/.280/.348.124.32013532%6%72-0.2
Damon Sublett
2010 · A
24 48→49 40→45 50 49 .222/.302/.327 .105.316 59 29% 10% 78 +0.2 .220/.297/.326 .106.325 77 31% 10% 76 +0.0 .219/.298/.331.111.3318233%10%73-0.0
Shayne Fontana
2021 · A
24 47 40→45 52→55 45 .224/.291/.326 .102.294 613 25% 7% 72 -0.2 .205/.287/.315 .110.296 1110 32% 9% 69 -0.4 .222/.305/.326.104.296111927%8%77+0.1
Logan Vick
2014 · A
23 48 41→45 51→50 56 .228/.322/.334 .106.302 715 25% 12% 89 +0.9 .195/.288/.290 .095.289 713 31% 11% 63 -0.8 .147/.251/.227.080.23161335%12%30-2.1
Mike McCuistion
2006 · A
24 49 43→45 49→45 44 .240/.293/.352 .112.305 107 24% 6% 80 +0.4 .227/.285/.335 .108.280 128 22% 7% 72 -0.2 .212/.274/.309.097.24913820%6%59-0.6
Nolan Fontana
2014 · A
23 43 40 52→50 58 .204/.316/.298 .095.286 714 28% 14% 78 +0.2 .203/.301/.290 .087.301 49 30% 12% 69 -0.4 .184/.288/.306.123.253101229%12%68-0.2
Anthony Seigler
2023 · A
24 40→39 43→45 46→55 54 .196/.296/.310 .114.268 911 28% 12% 72 -0.2 .198/.295/.313 .115.254 1119 24% 12% 72 -0.2 .200/.299/.321.122.247122723%12%74-0.1
Taylor Grzelakowski
2018 · A
24 43 40→45 50→30 42 .211/.263/.307 .096.286 88 28% 6% 56 -1.3 .215/.275/.312 .097.328 73 34% 7% 62 -0.9 .204/.270/.296.092.3116134%8%54-0.8
Dean Anna
2011 · A
24 44→54 43→45 50→45 50 .216/.286/.326 .110.263 107 22% 8% 71 -0.3 .234/.308/.350 .116.273 106 17% 8% 86 +0.8 .245/.318/.360.115.2849416%8%92+1.0
Canaan Smith-Njigba
2023 · AAA
24 50→47 42→45 54→55 48 .231/.306/.345 .114.335 817 31% 10% 84 +0.6 .220/.287/.341 .121.326 1019 33% 9% 75 -0.0 .208/.277/.326.118.309102134%9%65-0.4
Joe Sclafani
2014 · A
24 47 41→40 52→50 52 .225/.304/.328 .103.277 714 20% 9% 79 +0.3 .252/.313/.330 .078.305 411 17% 8% 82 +0.5 .277/.332/.337.060.33021016%7%87+0.5
Mitch Canham
2009 · A
24 49→50 43→45 54→45 52 .235/.306/.351 .116.287 911 21% 9% 85 +0.7 .221/.282/.315 .094.271 76 20% 8% 66 -0.6 .210/.273/.281.072.27221122%8%51-0.6
Brian Dinkelman
2008 · A
24 47→56 44→45 53→50 48 .230/.293/.352 .122.271 119 19% 7% 80 +0.4 .241/.301/.353 .112.285 88 17% 6% 84 +0.6 .245/.303/.352.107.2917717%6%82+0.4