Hoy ParkSS Las Vegas Aviators
Age 30 L/R 6'0" / 200 lbs AAA HR -6%K -4% Svc 5.000 · Ctrl thru 2026 peak 0.2 · 2026
wRC+†77
AVG/OBP/SLG.211 / .303 / .315
PA350
HR6
SB10
K%27
BB%11
MLB%10%
BAT: -9.2 runs (wOBA-derived runs vs avg)-9BATRUN: +1.1 runs (SB/CS + UBR baserunning)+1RUNFLD: -0.7 runs (Defensive runs vs avg)-1FLDPOS: +1.2 runs (Positional adjustment)+1POSREP: +9.9 runs (Replacement-level credit)+10REPTotal WAR: +0.20+0.2WAR
Scouting · nowfuture
HIT
3838
PWR
5050
SPD
5454
EYE
6174
trajectory · 10 yrs
0.4peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-3
MLB Debut   2021
Service   5.000 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Arb-3$2M+0.2$0.8M+$0.0M (cut)
Totals $0.8M $0.8M +$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
201519 ROKPulaski Yankees 262234 41824 22715 127 .175.261.278.538 .103.231 278 .239 41 -17 -0 +0 +1 +7 -1.0
201620 ACharleston RiverDogs 517462 8310112 401557 323 .180.255.262.517 .082.263 308 .231 35 -38 +5 +0 +2 +15 -1.7
201721 A2 teams 481438 901056 3210610 257 .205.275.292.567 .087.258 227 .254 53 -26 +2 +0 +2 +14 -0.8
201822 A+Tampa Tarpons 421358 831025 51985 185 .232.336.313.649 .081.304 2312 .286 77 -11 +2 +0 +2 +12 0.4
201923 AATrenton Thunder 487435 1021563 401224 2010 .234.305.317.622 .083.317 258 .273 67 -18 +0 +0 +2 +14 -0.3
202125 AAA3 teams 443377 8915212 531095 135 .236.338.382.720 .146.296 2512 .317 101 +0 +1 +1 +2 +13 1.6
202226 AAA2 teams 435390 7612011 371361 150 .195.266.310.577 .115.263 319 .253 52 -24 +3 -5 +2 +12 -1.2
202327 AAAGwinnett Stripers 389340 811425 421034 162 .238.329.335.664 .097.326 2611 .297 85 -6 +2 +0 +1 +11 0.9
202428 AAALas Vegas Aviators 434377 791327 491233 156 .210.305.310.616 .101.288 2811 .280 72 -14 +1 +0 +2 +12 0.1
▸ 2026 Season
202630 MLBOAK 350306 661226 38953 103 .216.308.327.635 .111.287 2711 .285 77 -9 +1 -1 +1 +10 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202731 MLB 20%OAK 365320 681226 391013 92 .212.304.319.623 .106.285 2811 .282 74 -11 +1 -4 +1 +10 -0.2
202832 MLB 33%OAK 346303 631125 37973 72 .208.300.307.607 .099.284 2811 .277 70 -12 +1 -4 +1 +10 -0.4
202933 MLB 43%OAK 316277 561014 34912 51 .202.294.289.583 .087.282 2911 .272 66 -12 +1 -5 +1 +9 -0.6
203034 MLB 52%OAK 272239 47813 29812 41 .197.289.276.565 .079.281 3011 .266 62 -12 +0 -5 +1 +8 -0.8
▸ Career Totals (MLE all levels + projections)
Career 55184856 10241604079 543148857 20154 .211.298.309.607 .098.285 2710 .272 66 -209 +19 -24 +20 +156 -3.9
/ 162G 650572 1211959 641757 246 .212.299.309.608 .098.286 2710 .272 66 -25 +2 -3 +2 +18 -0.4

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
201519 ROKPulaski Yankees 262222 531135 34505 127 .239.352.383.735 .144.286 1913 .334 114 +4 -0 +7 1.1
201620 ACharleston RiverDogs 517435 9815122 671207 323 .225.338.329.667 .103.304 2313 .304 91 -5 +5 +15 1.5
201721 A+Tampa Yankees 10894 20611 13141 70 .213.315.330.645 .117.241 1312 .297 85 -2 +1 +3 0.3
201721 ACharleston RiverDogs 373324 85656 39639 187 .262.358.367.725 .105.310 1710 .331 112 +5 +1 +11 1.7
201822 A+Tampa Tarpons 421341 88926 68695 185 .258.389.349.738 .091.306 1616 .339 117 +8 +2 +12 2.2
201923 AATrenton Thunder 487416 1132063 57914 2010 .272.363.370.733 .099.340 1912 .329 110 +6 +0 +14 2.0
202125 MLBPittsburgh Pirates 150128 25523 18381 11 .195.297.336.633 .141.250 2512 .285 76 -4 -0 +1 +2 +4 0.2
202125 AAAIndianapolis Indians 254193 599110 53534 94 .306.464.518.982 .212.371 2121 .430 187 +25 +0 +7 3.3
202125 AASomerset Patriots 3931 6101 630 30 .194.324.323.647 .129.179 815 .286 77 -1 +1 +1 0.1
202226 MLBPittsburgh Pirates 6051 11202 4151 10 .216.286.373.658 .157.250 257 .277 70 -2 +0 -5 +2 +2 -0.4
202226 AAAIndianapolis Indians 375316 7111010 52990 140 .225.331.354.685 .130.292 2614 .311 96 -2 +3 +11 1.2
202327 AAAGwinnett Stripers 389317 831526 60864 162 .262.381.379.759 .117.341 2215 .345 122 +10 +2 +11 2.4
202428 AAALas Vegas Aviators 434358 911839 67983 156 .254.375.397.772 .142.323 2315 .348 124 +12 +1 +12 2.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career 210179 36725 22532 21 .201.294.346.640 .145.250 2510 .283 74 -6 +0 -5 +3 +6 -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
Hoy Park (OGILVIE) 30 38 50 54 74 .211/.303/.315 .103.287 610 27% 11% 77 +0.1
Garrett Stubbs
2022 · MLB
29 44 43→45 53→50 52 .214/.296/.324 .109.266 1016 23% 10% 76 +0.0 .227/.306/.345 .118.294 1212 25% 10% 85 +0.7 .219/.302/.318.099.28891225%9%72-0.0
Johnny Monell
2016 · MLB
30 47→44 45→50 48→45 46 .232/.288/.353 .121.287 129 24% 7% 79 +0.3 .231/.280/.354 .123.284 136 23% 6% 76 +0.0 .221/.272/.347.126.27814225%6%68-0.3
Sherman Johnson
2019 · AAA
29 42→50 42→45 51→50 48 .206/.281/.310 .104.272 913 26% 9% 65 -0.7 .204/.278/.309 .105.286 910 29% 9% 63 -0.8 .178/.271/.272.094.2518730%10%48-0.8
Chris Herrmann
2018 · MLB
30 41→50 50 55→50 50 .212/.291/.363 .150.264 1811 26% 10% 83 +0.6 .227/.310/.379 .152.306 176 29% 11% 95 +1.4 .214/.299/.358.144.30716033%10%82+0.2
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
Beau Taylor
2020 · MLB
30 46 44→45 47→30 49 .219/.304/.337 .119.310 114 31% 10% 82 +0.5 .207/.293/.319 .112.300 114 32% 10% 73 -0.1 .190/.282/.277.086.27610032%9%56-0.5
Andy Fox
2001 · MLB
30 48→53 44→40 51→60 50 .236/.305/.352 .116.280 1117 20% 8% 85 +0.7 .234/.320/.341 .107.282 1021 19% 10% 89 +1.0 .236/.322/.314.078.29743120%9%76+0.0
Paul Bako
2002 · MLB
30 48 43→45 49→40 54 .228/.314/.343 .116.292 95 24% 11% 87 +0.8 .229/.303/.337 .108.284 84 20% 9% 81 +0.4 .222/.297/.314.092.2755119%9%63-0.3
Jonathan Davis
2022 · MLB
30 41→51 45 52→55 47 .202/.302/.325 .123.271 1219 28% 9% 79 +0.3 .222/.307/.336 .114.302 1022 28% 9% 83 +0.6 .221/.303/.332.112.308102229%9%76+0.0
Tyler Saladino
2019 · MLB
30 46 43→45 50→55 46 .226/.288/.333 .106.286 1116 24% 7% 73 -0.1 .218/.288/.375 .157.282 1914 29% 8% 85 +0.7 .199/.273/.380.181.248241430%8%77+0.1
Nolan Fontana
2019 · MLB
28 40→43 42→40 51→50 49 .195/.279/.303 .108.267 912 29% 10% 63 -0.9 .201/.288/.323 .122.291 1210 32% 10% 72 -0.2 .122/.235/.206.084.19110038%11%20-0.8
Steven Lerud
2015 · AAA
30 45→42 41→45 47→40 47 .215/.298/.315 .099.299 95 29% 9% 74 -0.1 .219/.296/.300 .081.310 75 29% 8% 69 -0.4 .211/.296/.259.048.3113030%8%54-0.5
Jace Peterson
2019 · MLB
29 47→57 42→50 52→55 57 .225/.317/.338 .113.275 916 20% 12% 87 +0.8 .239/.318/.385 .146.293 1418 22% 10% 99 +1.7 .242/.319/.391.150.298151923%9%95+0.9
Donnie Sadler
2006 · MLB
31 45 44→45 48→55 49 .220/.291/.341 .122.275 1112 24% 8% 77 +0.1 .225/.293/.339 .114.292 813 24% 9% 77 +0.1 .214/.286/.319.105.28341624%9%65-0.2
Cole Sturgeon
2022 · AAA
30 48→49 46→45 49→50 40 .237/.286/.366 .129.310 1310 27% 5% 81 +0.4 .217/.270/.324 .107.260 1112 21% 6% 63 -0.8 .208/.262/.302.094.247101120%6%51-1.3
Kramer Robertson
2023 · AAA
28 45→51 44→45 54→55 51 .219/.313/.337 .118.275 1221 24% 10% 86 +0.8 .204/.303/.288 .084.276 721 26% 10% 70 -0.3 .178/.290/.225.047.25332327%11%47-1.6
Justin Leone
2008 · AAA
31 42→41 48→50 52→55 48 .212/.290/.355 .142.274 1614 28% 9% 81 +0.4 .199/.276/.341 .142.265 1616 30% 9% 71 -0.3 .169/.251/.300.130.226151431%10%50-1.0
Jason Pridie
2014 · MLB
30 46→53 46→50 53→55 42 .231/.279/.360 .129.297 1310 27% 6% 76 +0.1 .238/.285/.377 .139.295 1619 24% 6% 83 +0.6 .243/.290/.386.144.292172423%6%86+0.6
Peter Mooney
2021 · AAA
30 45→50 42→40 47→45 48 .220/.282/.325 .104.263 99 20% 7% 69 -0.4 .198/.256/.297 .099.263 1010 27% 7% 50 -1.7 .131/.195/.180.049.1766328%7%-9-1.4
Wilson Delgado
2002 · MLB
30 48 41→45 48→40 50 .234/.300/.329 .095.289 1010 22% 8% 77 +0.1 .237/.301/.350 .113.283 127 20% 8% 83 +0.6 .245/.299/.333.088.2936317%7%72-0.1