Gavin TurleyOF Lansing Lugnuts
Age 22 R/R 6'0" / 196 lbs A+ HR -6%K -4% Svc 0.0 · Ctrl thru 2035 peak 1.0 · 2030
wRC+†60
AVG/OBP/SLG.213 / .278 / .353
PA122
HR3
K%30
BB%7
MLB%0%
BAT: -5.5 runs (wOBA-derived runs vs avg)-5BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: -0.3 runs (Defensive runs vs avg)-0FLDPOS: -0.7 runs (Positional adjustment)-1POSREP: +3.5 runs (Replacement-level credit)+3REPTotal WAR: -0.30-0.3WAR
Scouting · nowfuture
HIT
2237
PWR
4156
SPD
5153
FLD
3450
EYE
4042
trajectory · 10 yrs
1.1peak
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+1.0$9M+$8M
2031Arb-3$0.9M+1.0$9M+$8M
2032Ext / FA-deal$0.9M+0.9$4M+$3M
2033Ext / FA-deal$2M+0.8$4M+$2M
2034Ext / FA-deal$2M+0.6$3M+$1M
2035Ext / FA-deal$1M+0.4$2M+$0.6M
Totals $8M $32M +$24M

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
202521 AStockton Ports 125111 20603 10452 00 .180.260.315.575 .135.262 368 .255 53 -7 +0 +0 -1 +4 -0.4
▸ 2026 Season (actual · ROS · total)
202622 A+Lansing Lugnuts 2119 2100 1121 11 .105.190.158.348 .053.286 575 .167 -14 -3 -0 +0 -0 +1 -0.2
ROS22 MLBOAK 10192 20313 7311 20 .217.280.370.650 .152.285 317 .284 76 -3 +0 -0 -1 +3 -0.0
TOT22 MLBOAK 122111 22413 8432 31 .198.264.333.598 .135.288 357 .264 60 -5 +0 -0 -1 +3 -0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%OAK 204184 40716 16592 41 .217.287.364.651 .147.288 298 .299 87 -3 +0 -1 -1 +6 0.1
202824 MLB 26%OAK 310279 6411211 25873 61 .229.300.401.701 .172.289 288 .308 94 -2 +1 -1 -2 +9 0.5
202925 MLB 44%OAK 374336 7713213 311044 82 .229.302.396.698 .167.291 288 .314 98 -1 +1 -1 -2 +11 0.8
203026 MLB 59%OAK 415373 8615215 351154 92 .231.303.402.706 .172.292 288 .317 101 +0 +1 -1 -2 +12 1.0
203127 MLB 76%OAK 433387 9015316 381205 92 .233.309.411.720 .178.292 289 .317 101 +0 +1 -1 -3 +12 1.0
203228 MLB 84%OAK 442395 9216316 391235 92 .233.310.410.720 .177.291 289 .316 100 -0 +1 -2 -3 +13 0.9
203329 MLB 90%OAK 439393 9015216 391244 81 .229.305.399.705 .170.290 289 .314 98 -1 +1 -3 -3 +12 0.8
203430 MLBOAK 435390 8815215 381244 81 .226.301.390.691 .164.289 299 .311 96 -2 +1 -3 -3 +12 0.6
203531 MLBOAK 423379 8414214 371224 70 .222.298.380.678 .158.287 299 .307 93 -3 +1 -4 -3 +12 0.4
203632 MLBOAK 407364 8014213 361204 70 .220.297.376.673 .157.286 299 .302 89 -5 +1 -5 -2 +12 0.1
203733 MLBOAK 379339 7312212 331144 60 .215.293.369.661 .153.284 309 .297 85 -6 +1 -5 -2 +11 -0.2
203834 MLBOAK 335300 6310210 291043 60 .210.286.357.643 .147.282 319 .290 80 -8 +1 -6 -2 +9 -0.5
▸ Career Totals (MLE all levels + projections)
Career 48224322 96716626163 413139249 8912 .224.299.387.686 .164.288 299 .307 93 -39 +13 -33 -29 +137 4.9
/ 162G 650583 13022422 561887 122 .223.300.388.687 .165.286 299 .307 93 -5 +2 -4 -4 +18 0.7

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
202521 AStockton Ports 125107 26804 14342 00 .243.341.430.771 .187.310 2711 .340 118 +3 +0 +4 0.6

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
Gavin Turley (OGILVIE) 22 22→37 41→56 51→53 42 .213/.278/.353 .140.285 32 30% 7% 76 +0.0
Alexander Canario
2022 · A
22 37→34 51→60 50 37 .200/.246/.359 .159.282 2014 36% 6% 63 -0.8 .212/.272/.410 .198.294 2614 36% 7% 88 +0.9 .209/.277/.424.216.279301336%8%90+0.6
Aristides Aquino
2016 · A
22 39→40 46→65 52→50 35 .201/.236/.333 .133.265 1310 30% 3% 51 -1.7 .200/.241/.349 .149.267 178 31% 4% 58 -1.2 .218/.283/.452.234.26735933%7%98+1.0
Jabari Henry
2013 · A
22 42→41 46→55 49→45 44 .212/.273/.344 .133.277 137 28% 7% 70 -0.3 .209/.287/.363 .154.271 176 28% 9% 82 +0.5 .193/.280/.360.167.25120630%10%75-0.0
Jerry Sands
2009 · A
21 37→46 49→60 51→45 45 .195/.277/.339 .144.267 188 33% 9% 72 -0.2 .231/.297/.425 .194.284 256 27% 8% 102 +1.9 .233/.299/.438.204.27826726%8%105+1.8
Romy Gonzalez
2019 · A
22 39→44 46→55 53→55 34 .196/.247/.327 .132.312 1410 40% 6% 55 -1.4 .198/.251/.317 .119.302 1212 37% 6% 54 -1.4 .258/.302/.412.153.342171628%5%96+0.7
Sean Bouchard
2019 · A
23 38→44 44→55 48→50 37 .196/.244/.314 .117.275 1213 33% 5% 50 -1.7 .201/.254/.332 .131.296 1310 35% 6% 59 -1.1 .223/.323/.415.191.292211629%11%106+1.0
Brian McFall
2006 · A
22 39→44 46→55 51→50 37 .200/.266/.325 .125.285 1412 34% 6% 63 -0.8 .202/.261/.355 .153.278 199 34% 5% 69 -0.4 .206/.269/.358.153.27818832%6%70-0.2
Sean Coyle
2014 · A
22 36 48→50 54→50 37 .191/.251/.335 .144.272 1614 35% 6% 59 -1.1 .202/.261/.344 .142.302 1713 37% 7% 66 -0.6 .180/.244/.304.124.276151239%7%45-1.1
Will Benson
2021 · A
23 33→43 50→55 52→55 44 .178/.260/.325 .147.263 1913 38% 10% 61 -1.0 .207/.302/.379 .172.307 1918 36% 11% 92 +1.2 .221/.322/.401.180.313182632%12%102+1.4
Patrick Wisdom
2014 · A
22 38→45 46→70 50 39 .197/.253/.324 .127.281 145 34% 7% 56 -1.3 .186/.235/.303 .117.276 127 35% 6% 43 -2.2 .208/.294/.470.262.26538837%10%111+1.7
Niko Hulsizer
2019 · A
22 44→30 47→60 51→50 42 .211/.300/.348 .138.322 1512 36% 8% 84 +0.6 .206/.285/.382 .176.328 219 41% 8% 86 +0.8 .193/.269/.393.200.316271245%8%80+0.2
James Outman
2019 · A
22 40→49 47→60 53→50 39 .203/.260/.335 .132.285 1511 34% 6% 63 -0.9 .196/.265/.334 .138.273 1613 33% 7% 65 -0.7 .223/.317/.418.195.310251434%10%107+2.0
Nicky Delmonico
2014 · A
22 39→47 49→55 48→45 46 .202/.276/.345 .143.261 178 29% 8% 72 -0.2 .215/.272/.359 .144.291 156 30% 7% 74 -0.1 .233/.301/.393.161.28418424%8%92+0.9
Johan Mieses
2017 · A
22 37→32 51→55 46→50 36 .200/.247/.364 .164.270 199 34% 5% 65 -0.7 .183/.234/.337 .154.257 204 37% 5% 53 -1.5 .194/.269/.375.181.23726731%7%74-0.0
Iverson Leonardo
2023 · A
21 37 44→50 49→50 40 .188/.259/.305 .117.281 129 36% 7% 55 -1.4 .194/.278/.291 .097.346 78 42% 9% 59 -1.1 .146/.273/.221.075.3593452%12%39-0.5
Brian Sanchez
2017 · A
21 42 48→60 46→45 37 .209/.270/.353 .143.308 165 36% 6% 72 -0.2 .194/.247/.306 .112.300 114 37% 6% 49 -1.8 .135/.188/.204.069.2214039%6%-5-1.0
Coby Mayo
2023 · AA
21 42→46 51→60 52→45 41 .220/.279/.381 .161.292 208 31% 6% 83 +0.6 .228/.303/.416 .188.302 226 31% 8% 102 +1.9 .224/.304/.422.198.29124430%9%102+1.6
Anderson Gomes
2007 · A
22 41→38 43→45 47→50 39 .205/.252/.313 .108.275 109 29% 5% 53 -1.5 .220/.270/.333 .113.292 117 27% 6% 66 -0.6 .223/.275/.335.112.29012526%6%67-0.2
Travis Demeritte
2017 · A
22 36→43 49→60 52→50 36 .181/.248/.330 .149.316 1711 46% 8% 56 -1.3 .194/.257/.351 .157.294 188 38% 7% 66 -0.6 .204/.271/.391.188.28824737%8%79+0.2
Edward Olivares
2018 · A
22 42→52 47→55 51→55 39 .214/.266/.352 .138.266 1413 25% 4% 69 -0.4 .223/.265/.352 .129.280 1316 25% 4% 68 -0.5 .259/.316/.431.172.293201619%6%108+1.4