Jay Harry2B New Hampshire Fisher Cats
Age 24 L/R 5'11" / 195 lbs AA HR +12%BB +4% Svc 0.0 · Ctrl thru 2034
wRC+†50
AVG/OBP/SLG.195 / .257 / .297
PA320
HR5
K%29
BB%6
MLB%2%
BAT: -18.0 runs (wOBA-derived runs vs avg)-18BATRUN: -0.3 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -0.80-0.8WAR
Scouting · nowfuture
HIT
4040
PWR
3030
SPD
4545
EYE
4140
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
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Ext / FA-deal$0.2M
2033Ext / FA-deal$0.4M
2034Ext / FA-deal$0.6M
Totals $-2M $-15M -$13M

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 AFort Myers Mighty Mussels 117104 31711 8124 41 .298.371.413.784 .115.326 107 .344 121 +3 +0 +0 +0 +3 0.7
202422 A+Vancouver Canadians 448408 651519 2313912 55 .159.226.267.493 .108.211 315 .213 21 -40 -1 +0 +2 +13 -2.7
202523 A+2 teams 366339 53915 231053 93 .156.216.233.449 .077.209 296 .199 11 -37 +1 +0 +1 +10 -2.5
▸ 2026 Season (actual · ROS · total)
202624 AANew Hampshire Fisher Cats 2927 7100 1140 01 .259.286.296.582 .037.538 483 .226 31 -2 -0 +0 +0 +1 -0.2
ROS24 MLBTOR 291267 531115 18844 42 .199.260.303.563 .105.264 296 .253 52 -16 +0 +0 +1 +8 -0.7
TOT24 MLBTOR 320294 601215 19984 43 .204.262.303.565 .099.286 316 .251 50 -18 -0 +0 +1 +9 -0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 11%TOR 354322 651317 24995 52 .202.268.314.581 .112.268 287 .264 60 -16 +0 +0 +1 +10 -0.4
202826 MLB 26%TOR 396360 741518 281095 62 .206.272.319.592 .114.270 287 .270 65 -16 +0 +0 +1 +11 -0.3
202927 MLB 44%TOR 413375 781619 301135 63 .208.276.328.604 .120.272 277 .273 67 -15 +0 +0 +1 +12 -0.2
203028 MLB 53%TOR 420381 791619 311155 62 .207.276.325.601 .118.272 277 .273 67 -15 +0 -1 +1 +12 -0.2
203129 MLB 64%TOR 417378 781619 311165 62 .206.275.325.601 .119.271 287 .271 66 -16 +0 -1 +1 +12 -0.4
203230 MLB 73%TOR 412373 751518 311165 52 .201.271.311.582 .110.269 288 .268 63 -17 +0 -2 +1 +12 -0.6
203331 MLB 81%TOR 400362 731518 301145 42 .202.272.315.587 .113.268 288 .264 61 -18 +0 -3 +1 +11 -0.8
203432 MLB 88%TOR 383347 691417 281115 32 .199.268.305.574 .107.266 297 .260 57 -19 -0 -4 +1 +11 -1.0
203533 MLBTOR 354321 621216 261054 32 .193.262.293.555 .100.265 307 .254 53 -19 -0 -4 +1 +10 -1.2
203634 MLBTOR 311281 541115 23954 22 .192.263.292.555 .100.263 317 .248 48 -18 -0 -5 +1 +9 -1.4
▸ Career Totals (MLE all levels + projections)
Career 50824618 9091851496 354143371 6832 .197.265.305.570 .108.261 287 .257 55 -258 +1 -20 +18 +144 -11.8
/ 162G 650591 11724212 451839 94 .198.265.306.571 .108.263 287 .257 55 -33 +0 -3 +2 +18 -1.5

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 AFort Myers Mighty Mussels 117101 34811 1184 41 .337.422.465.888 .129.355 79 .396 161 +8 +0 +3 1.2
202422 A+Vancouver Canadians 448395 8423112 369712 55 .213.298.367.665 .154.247 228 .298 86 -7 -1 +13 0.5
202523 AANew Hampshire Fisher Cats 141124 19302 15332 40 .153.255.226.481 .073.191 2311 .231 35 -10 +1 +4 -0.6
202523 A+Vancouver Canadians 225202 46913 21421 53 .228.304.327.630 .099.272 199 .287 78 -6 -0 +6 0.1

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
Jay Harry (OGILVIE) 24 40 30 45 40 .195/.257/.297 .102.264 55 29% 6% 52 -0.8
Rodrigo Aguirre
2008 · AAA
24 42 40→30 45 42 .208/.247/.297 .089.256 710 22% 5% 46 -2.0 .248/.292/.358 .110.280 96 15% 5% 81 +0.4 .267/.313/.345.078.2984211%6%82+0.2
Cornelius Randolph
2021 · AA
24 44→47 41→40 45 43 .214/.273/.310 .095.296 98 30% 7% 61 -1.0 .207/.267/.322 .115.334 1212 38% 7% 62 -0.9 .194/.259/.309.115.296141537%8%53-0.5
Bryant Flete
2017 · AA
24 42→45 39→40 47→50 45 .203/.259/.287 .084.261 67 24% 6% 49 -1.8 .213/.267/.293 .080.286 66 26% 6% 53 -1.5 .212/.272/.280.068.2915427%6%50-0.9
Noe Becerra
2011 · AAA
24 43 40→30 45→40 46 .211/.266/.297 .086.263 89 23% 7% 54 -1.4 .237/.284/.320 .083.272 66 15% 6% 67 -0.5 .278/.325/.338.060.3153012%6%89+0.3
Francisco Arcia
2014 · AA
24 41 42→40 45→40 41 .204/.257/.303 .098.260 105 25% 5% 53 -1.5 .222/.269/.296 .074.284 64 23% 5% 56 -1.3 .224/.272/.277.053.2913223%4%49-0.9
Jan Vázquez
2015 · AA
24 41 42→40 46→45 39 .206/.262/.303 .097.286 119 31% 6% 55 -1.4 .212/.282/.306 .094.294 88 29% 7% 65 -0.7 .217/.296/.306.089.2898726%7%67-0.2
Levi Hyams
2014 · A
24 44→46 40 45 44 .213/.267/.306 .092.280 611 26% 6% 57 -1.2 .213/.269/.306 .093.291 66 27% 7% 58 -1.2 .209/.262/.305.096.2866328%6%52-0.9
Justin Snyder
2010 · AA
24 44→48 39→40 45→40 47 .213/.270/.299 .086.264 75 22% 7% 56 -1.3 .222/.290/.314 .092.272 75 20% 8% 69 -0.4 .233/.314/.322.089.2786317%10%79+0.2
Conner Capel
2021 · AAA
24 43→45 42→45 46→55 41 .211/.262/.316 .105.284 1011 29% 6% 58 -1.2 .219/.281/.347 .128.275 1415 25% 8% 75 -0.0 .216/.288/.339.123.271131924%8%71-0.2
Tanner Allen
2022 · A
24 41 42→45 45 43 .204/.257/.308 .104.256 107 25% 6% 53 -1.5 .202/.257/.299 .097.248 96 22% 6% 51 -1.7 .200/.259/.296.096.2459721%6%47-0.9
Sergio Burruel
2015 · AAA
24 49 37→30 42→30 40 .232/.271/.302 .071.311 57 27% 5% 57 -1.2 .241/.291/.312 .071.302 64 21% 6% 69 -0.4 .244/.307/.320.075.2988119%7%75+0.0
Evan Marzilli
2015 · AA
24 45 38→40 48→50 42 .210/.272/.296 .086.304 510 31% 7% 56 -1.3 .204/.277/.288 .084.298 513 30% 8% 57 -1.2 .199/.281/.277.078.28741529%9%54-1.0
Alika Williams
2023 · AAA
24 43→44 42→45 44→45 43 .211/.265/.309 .098.267 107 25% 6% 57 -1.2 .221/.276/.328 .107.282 107 24% 6% 67 -0.5 .227/.280/.331.104.28610623%6%66-0.4
Jake Thomas
2017 · A
24 43 37→30 48→50 46 .203/.273/.276 .073.280 48 27% 8% 53 -1.5 .213/.304/.285 .072.317 39 30% 11% 69 -0.4 .212/.328/.269.058.32711030%14%72-0.1
Adam Melker
2013 · AA
25 47 39→40 46→50 43 .227/.281/.311 .084.299 79 26% 6% 64 -0.8 .231/.277/.328 .097.296 1011 24% 5% 67 -0.5 .232/.276/.325.092.292101323%4%63-0.5
Andrew Ely
2017 · AAA
24 42→45 38→40 40 41 .204/.254/.278 .074.272 66 27% 5% 44 -2.1 .204/.273/.282 .078.274 54 25% 8% 54 -1.4 .190/.273/.267.076.2534124%9%50-0.8
Forrestt Allday
2015 · A
24 47 37→30 44→50 44 .221/.288/.300 .079.301 39 26% 7% 65 -0.7 .228/.304/.288 .060.296 310 22% 8% 69 -0.4 .235/.317/.275.039.29521219%9%69-0.2
LJ Talley
2021 · A
24 39→47 44→45 50 43 .197/.253/.309 .112.248 126 26% 6% 53 -1.5 .217/.275/.336 .119.275 139 25% 7% 69 -0.4 .215/.278/.330.115.270131024%7%66-0.4
Carlos Penuelas
2013 · AAA
25 46 41→30 45→50 41 .224/.264/.318 .094.285 89 24% 5% 58 -1.2 .246/.294/.326 .080.306 610 20% 6% 73 -0.1 .269/.316/.325.056.33131219%5%78+0.1
Matt Moses
2009 · AAA
24 45 41→45 46→50 40 .219/.255/.315 .096.277 88 24% 4% 54 -1.4 .214/.255/.318 .104.270 109 24% 5% 55 -1.4 .196/.233/.303.107.24013724%5%38-1.2