Jason DelayC Worcester Red Sox
Age 31 R/R 5'11" / 200 lbs AAA Svc 4.000 · Ctrl thru 2027 peak 0.6 · 2026
wRC+†64
AVG/OBP/SLG.200 / .260 / .276
PA271
HR2
K%22
BB%6
MLB%10%
BAT: -10.9 runs (wOBA-derived runs vs avg)-11BATRUN: -0.1 runs (SB/CS + UBR baserunning)-0RUNFLD: +3.6 runs (Defensive runs vs avg)+4FLDPOS: +4.8 runs (Positional adjustment)+5POSREP: +7.7 runs (Replacement-level credit)+8REPTotal WAR: +0.60+0.6WAR
Scouting · nowfuture
HIT
4545
PWR
2525
SPD
4545
EYE
3835
trajectory · 10 yrs
-0.2peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-2
MLB Debut   2022
Service   4.000 yrs.days
Team Control Through   2027
First FA Year   2028
YearStatusSalary Proj WAR Value Surplus
2026Arb-2$0.4M+0.6$2M+$2M
2027Arb-3$0.6M
Totals $-0.0M $2M +$2M

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
201722 ROKBristol Pirates 128112 23401 8188 00 .205.305.268.573 .062.237 146 .253 52 -7 +0 +0 +2 +4 -0.1
201823 A+Bradenton Marauders 251225 45312 16745 20 .200.268.249.517 .049.287 296 .229 33 -19 +0 +0 +4 +7 -0.7
201924 AA2 teams 289270 5210010 10976 10 .193.238.341.579 .148.253 343 .251 50 -16 +0 +0 +5 +8 -0.3
202126 AA2 teams 9896 12301 2430 00 .125.143.188.330 .062.212 442 .155 -23 -14 +0 +0 +2 +3 -0.9
202227 MLB2 teams 260240 491011 14682 12 .204.254.267.521 .062.279 265 .234 37 -18 -1 +7 +5 +7 -0.0
202328 MLB2 teams 218196 511411 16523 10 .260.326.357.683 .097.347 247 .299 87 -3 +0 +10 +4 +6 1.7
202429 AAA2 teams 190171 40901 13353 11 .234.299.304.604 .070.287 187 .267 63 -8 -0 +0 +3 +5 0.1
202530 AAA2 teams 251238 41701 9614 10 .172.215.214.429 .042.227 244 .194 7 -26 +0 +0 +4 +7 -1.5
▸ 2026 Season (actual · ROS · total)
202631 AAAWorcester Red Sox 4436 8301 7131 00 .222.364.389.753 .167.318 3016 .339 118 +1 +0 +0 +1 +1 0.3
ROS31 MLBBOS 227206 431012 16523 20 .209.276.296.572 .087.259 237 .256 54 -12 +0 +4 +4 +6 0.3
TOT31 MLBBOS 271242 511313 23654 20 .211.290.310.600 .099.274 248 .269 64 -11 +0 +4 +5 +8 0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202732 MLB 20%BOS 237213 441012 18494 10 .207.281.291.572 .085.252 218 .258 56 -12 +0 +0 +4 +7 -0.1
202833 MLB 33%BOS 202182 36802 15433 00 .198.270.275.545 .077.250 217 .252 51 -11 +0 -1 +4 +6 -0.3
202934 MLB 43%BOS 158143 27601 12352 00 .189.261.252.513 .063.247 228 .246 46 -10 +0 -2 +3 +4 -0.5
▸ Career Totals (MLE all levels + projections)
Career 25092292 46394525 14962743 103 .202.264.280.544 .078.265 256 .244 45 -156 +1 +17 +45 +71 -2.3
/ 162G 650594 1192416 3916211 31 .200.263.274.537 .074.263 256 .244 45 -40 +0 +4 +12 +18 -0.6

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
201722 ROKBristol Pirates 128107 27501 13138 00 .252.375.327.702 .075.280 1010 .332 112 +2 +0 +4 0.5
201823 A+Bradenton Marauders 251219 54412 21515 20 .247.325.301.627 .055.311 208 .286 77 -7 +0 +7 0.1
201924 AAAltoona Curve 252231 541218 13635 10 .234.289.398.687 .165.282 255 .303 90 -3 +0 +7 0.5
201924 INTLPeoria Javelinas 3732 3100 491 00 .094.216.125.341 .031.130 2411 .179 -5 -4 +0 +1 -0.3
202126 AAAIndianapolis Indians 3834 9202 4100 00 .265.342.500.842 .235.318 2611 .370 141 +2 +0 +1 0.3
202126 AAAltoona Curve 6060 7200 0230 00 .117.117.150.267 .033.189 380 .118 -51 -10 +0 +2 -0.9
202227 MLBPittsburgh Pirates 167155 33601 9502 02 .213.265.271.536 .058.308 305 .246 46 -10 -1 +7 +5 +5 0.5
202227 AAAIndianapolis Indians 9382 18510 8150 10 .220.289.305.594 .085.265 169 .263 60 -4 +0 +3 -0.1
202328 MLBPittsburgh Pirates 187167 421111 14443 00 .251.321.347.668 .096.333 247 .300 88 -3 +0 +10 +4 +5 1.6
202328 AAAIndianapolis Indians 3128 10400 360 10 .357.419.500.919 .143.455 1910 .408 171 +2 +0 +1 0.4
202429 MLBPittsburgh Pirates 1915 3300 300 00 .200.333.400.733 .200.200 016 .313 98 -0 +0 +0 +3 +1 0.4
202429 AAAIndianapolis Indians 171150 43801 14273 11 .287.355.360.715 .073.341 168 .322 105 +1 -0 +5 0.6
202530 AAAGwinnett Stripers 214195 42800 14374 10 .215.280.256.537 .041.266 177 .251 50 -12 +0 +6 -0.6
202530 AAColumbus Clingstones 3735 4201 1120 00 .114.135.257.392 .143.136 323 .169 -12 -5 +0 +1 -0.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career 373337 782012 26945 02 .231.296.315.611 .083.314 257 .276 70 -13 -1 +17 +12 +11 2.6

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
Jason Delay (OGILVIE) 31 45 25 45 35 .200/.260/.276 .076.255 22 22% 6% 48 -0.9
Alberto Rosario
2018 · MLB
31 45 36→30 48→50 42 .214/.252/.275 .061.261 36 19% 4% 42 -2.3 .219/.259/.287 .068.275 66 22% 5% 48 -1.9 .211/.250/.255.045.2654022%4%34-0.8
Pete Kozma
2019 · MLB
31 39→46 37→40 47→50 41 .189/.233/.265 .076.239 510 23% 5% 32 -3.0 .206/.258/.313 .107.251 97 21% 6% 55 -1.4 .197/.250/.291.094.2458522%6%44-1.5
Mike Nickeas
2014 · MLB
31 40 39→40 44→40 45 .196/.252/.282 .086.240 74 21% 6% 45 -2.1 .205/.260/.300 .095.257 107 23% 6% 53 -1.5 .189/.243/.247.058.2329322%7%32-0.9
Edwin Maysonet
2013 · MLB
31 45→54 38→40 46→50 42 .217/.264/.298 .081.269 55 21% 5% 53 -1.5 .208/.252/.317 .109.257 107 23% 4% 53 -1.5 .183/.220/.292.109.22410223%3%35-1.1
Tyler Ladendorf
2019 · MLB
31 43→49 38→40 45→50 45 .205/.259/.282 .078.254 68 22% 6% 48 -1.9 .209/.263/.314 .105.272 108 26% 6% 58 -1.2 .192/.237/.331.139.24518230%4%50-0.6
Jonathan Diaz
2016 · MLB
31 45→48 36→30 47→50 49 .212/.284/.280 .068.262 310 19% 8% 58 -1.2 .205/.284/.272 .067.258 58 21% 9% 56 -1.3 .190/.282/.238.049.2433521%10%45-1.0
J.C. Boscan
2012 · AAA
32 44 37→40 41→30 43 .209/.259/.282 .073.269 54 24% 6% 47 -1.9 .189/.239/.262 .073.253 55 26% 5% 33 -2.9 .177/.223/.214.037.2332223%5%11-1.3
Jackson Williams
2017 · MLB
31 42 37→45 40 45 .200/.256/.269 .070.254 54 23% 7% 43 -2.2 .200/.251/.275 .075.255 74 23% 6% 42 -2.3 .180/.234/.220.040.2395026%5%19-1.4
Rocky Gale
2019 · AAA
31 48→46 38→40 43→30 42 .230/.269/.309 .079.280 63 20% 4% 58 -1.2 .226/.258/.309 .083.288 76 23% 4% 53 -1.5 .225/.254/.285.060.2945324%3%42-0.7
Erick Castillo
2022 · AAA
29 43 38→30 47→30 44 .207/.274/.279 .072.261 56 22% 6% 54 -1.4 .217/.277/.293 .076.275 67 22% 5% 59 -1.1 .220/.270/.235.015.2840021%3%37-0.6
Sharlon Schoop
2017 · AAA
30 43→44 39→40 40→45 42 .209/.255/.293 .083.270 73 25% 5% 48 -1.9 .215/.268/.335 .120.275 135 26% 6% 66 -0.6 .201/.262/.337.136.24816026%6%61-0.2
Gary Patchett
2009 · AAA
30 44 36→30 42→30 41 .211/.265/.269 .058.288 55 27% 6% 46 -2.0 .212/.259/.282 .070.283 64 26% 5% 47 -1.9 .206/.252/.260.054.2734025%4%37-1.2
Alex Prieto
2007 · MLB
31 44 41→40 44→45 45 .215/.266/.309 .094.269 99 23% 6% 57 -1.2 .219/.271/.326 .107.269 99 21% 6% 64 -0.8 .219/.273/.332.112.2628519%6%61-0.3
Carlos Eduardo Gonzalez
2015 · AAA
30 43 39→30 42→50 38 .207/.252/.293 .086.284 69 29% 5% 47 -1.9 .219/.276/.333 .114.277 1110 24% 6% 69 -0.4 .212/.264/.308.096.2648622%6%52-0.5
Argenis Diaz
2017 · AAA
30 48→52 36→40 41→50 42 .226/.265/.288 .061.282 45 21% 5% 50 -1.7 .223/.266/.300 .077.283 66 22% 5% 55 -1.4 .216/.264/.272.055.2804223%5%43-0.9
Rosario Irazoqui
2016 · AAA
30 43 38→30 43→45 38 .210/.250/.279 .069.274 77 26% 4% 42 -2.3 .217/.263/.307 .090.283 98 26% 4% 56 -1.3 .209/.256/.282.072.2777026%4%42-0.6
Horacio Vasquez
2016 · AAA
30 44 39→40 47→40 39 .213/.252/.293 .080.278 78 26% 4% 47 -1.9 .226/.256/.302 .076.291 69 24% 4% 50 -1.7 .245/.256/.277.032.3130621%2%42-0.7
Julius Matos
2006 · MLB
31 47 41→40 42→40 41 .227/.259/.324 .097.259 97 17% 3% 58 -1.2 .228/.267/.314 .086.284 87 22% 4% 59 -1.1 .237/.277/.244.007.3300027%5%43-0.4
Paul Phillips
2009 · MLB
32 46→47 39→40 46→30 45 .220/.254/.302 .082.245 73 14% 4% 50 -1.8 .221/.262/.299 .078.253 64 15% 5% 53 -1.5 .210/.250/.268.058.2383113%5%37-0.9
Drew Butera
2014 · MLB
30 38 40 47→40 42 .186/.234/.276 .090.227 84 22% 5% 36 -2.7 .207/.267/.314 .107.259 104 23% 7% 59 -1.1 .231/.283/.345.114.29112024%6%72-0.1