Connor WongC Boston Red Sox
Age 30 R/R 5'10" / 190 lbs MLB Svc 3.459 · Ctrl thru 2028 peak 1.5 · 2026
wRC+†vL 12994vR 81
AVG/OBP/SLG.237 / .301 / .372
PA350
HR9
SB7
K%25
BB%7
MLB%100%
BAT: -2.5 runs (wOBA-derived runs vs avg)-3BATRUN: +1.2 runs (SB/CS + UBR baserunning)+1RUNFLD: -0.1 runs (Defensive runs vs avg)-0FLDPOS: +6.2 runs (Positional adjustment)+6POSREP: +9.9 runs (Replacement-level credit)+10REPTotal WAR: +1.50+1.5WAR
Scouting · nowfuture
HIT
4545
PWR
4040
SPD
5555
EYE
4445
trajectory · 10 yrs
1.2peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-1
MLB Debut   2022
Service   3.459 yrs.days
Team Control Through   2028
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Arb-1$1M+1.5$12M+$11M
2027Arb-2$2M+0.8$3M+$0.8M
2028Arb-3$2M+0.5$2M+$0.0M (cut)
Totals $6M $17M +$11M

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
201721 AGreat Lakes Loons 10799 24504 5332 11 .242.292.414.707 .172.317 315 .297 85 -2 -0 +0 +2 +3 0.3
201822 A+Rancho Cucamonga Quakes 431396 7212114 2519410 62 .182.248.323.571 .141.309 456 .249 49 -25 +0 +0 +8 +12 -0.5
201923 A+2 teams 465432 9017420 231935 113 .208.257.405.662 .197.314 425 .284 76 -13 +1 +0 +8 +13 1.0
202125 AAAWorcester Red Sox 208202 411005 6680 71 .203.226.327.553 .124.279 333 .240 42 -14 +1 +1 +4 +6 -0.3
202226 AAA2 teams 411379 8817014 241115 73 .232.287.388.675 .156.289 276 .291 81 -9 +0 +1 +7 +12 1.1
202327 MLBBoston Red Sox 403371 8623210 221346 82 .232.286.385.671 .154.333 335 .290 80 -9 +1 -1 +7 +11 1.0
202428 MLBBoston Red Sox 487447 12221114 281149 87 .273.329.418.747 .145.336 236 .324 106 +3 -1 -10 +9 +14 1.5
202529 MLBBoston Red Sox 188168 32800 16421 21 .190.265.238.503 .048.250 229 .227 32 -15 +0 +1 +3 +5 -0.4
▸ 2026 Season (actual · ROS · total)
202630 MLBBoston Red Sox 3027 8400 161 10 .296.345.444.789 .148.381 203 .336 115 +1 +0 +1 +1 +1 0.3
ROS30 MLBBOS 320290 691517 22795 61 .238.303.369.672 .131.303 257 .305 92 -3 +1 -1 +6 +9 1.2
TOT30 MLBBOS 350317 771917 23856 71 .243.306.375.682 .132.308 247 .308 94 -3 +1 -0 +6 +10 1.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202731 MLBBOS 332302 731618 22795 51 .242.304.381.685 .139.296 247 .301 89 -4 +1 -3 +6 +9 0.8
202832 MLBBOS 304276 651417 20745 30 .236.299.370.669 .134.294 247 .296 85 -5 +1 -4 +5 +9 0.5
202933 MLBBOS 267243 561215 18674 20 .230.294.350.644 .119.293 257 .291 81 -6 +0 -5 +5 +8 0.2
203034 MLBBOS 220200 461014 15573 10 .230.294.350.644 .120.291 267 .284 76 -6 +0 -5 +4 +6 -0.1
203135 MLBBOS 169154 33703 11452 00 .214.275.318.594 .104.288 277 .277 70 -6 +0 -6 +3 +5 -0.4
▸ Career Totals (MLE all levels + projections)
Career 43123959 89718713115 257129062 6722 .227.284.368.652 .141.304 306 .286 77 -112 +5 -33 +77 +122 6.0
/ 162G 650597 13528217 391949 103 .226.284.365.649 .139.303 306 .286 77 -17 +1 -5 +12 +18 0.9

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
201721 AGreat Lakes Loons 10797 27605 7262 11 .278.340.495.834 .216.328 247 .364 137 +4 -0 +3 0.7
201822 A+Rancho Cucamonga Quakes 431383 10320219 3813810 62 .269.350.480.831 .211.372 329 .368 139 +19 +0 +12 3.2
201923 AATulsa Drillers 163149 52919 11501 21 .349.398.6041.002 .255.467 317 .431 188 +16 +0 +5 2.1
201923 A+Rancho Cucamonga Quakes 302274 6715615 21934 92 .245.308.507.815 .263.310 317 .350 126 +9 +1 +9 1.9
202125 AAAWorcester Red Sox 208199 511308 9580 71 .256.288.442.731 .186.323 284 .321 104 +1 +1 +6 0.8
202226 MLBBoston Red Sox 5648 9301 5161 00 .188.278.312.590 .125.250 299 .262 59 -3 +0 +1 +7 +2 0.7
202226 AAAWorcester Red Sox 355323 9320015 27804 73 .288.350.489.839 .201.341 238 .369 141 +16 +0 +10 2.7
202327 MLBBoston Red Sox 403371 872529 221346 82 .235.288.385.674 .151.341 335 .298 86 -6 +1 -1 +7 +11 1.3
202428 MLBBoston Red Sox 487447 12524113 281149 87 .280.335.425.760 .145.348 236 .338 116 +9 -1 -10 +9 +14 2.0
202529 MLBBoston Red Sox 188168 32800 16421 21 .190.265.238.503 .048.250 229 .233 37 -13 +0 +1 +3 +5 -0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career 11341034 25360323 7130617 1810 .245.304.375.679 .131.323 276 .302 90 -13 -0 -9 +27 +32 3.7

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
Connor Wong (OGILVIE) 30 45 40 55 45 .239/.303/.375 .135.297 87 23% 7% 92 +0.7
Pedro Severino
2023 · MLB
30 51→50 47→50 49→45 46 .251/.310/.385 .134.318 155 25% 8% 96 +1.5 .225/.283/.360 .135.285 1511 26% 7% 79 +0.3 .189/.246/.307.118.234151326%7%45-0.9
Gerald Laird
2010 · MLB
30 48→47 42→50 46→50 50 .234/.300/.346 .112.272 97 17% 7% 82 +0.5 .227/.292/.336 .109.262 97 17% 7% 76 +0.1 .263/.333/.361.098.3045314%8%94+0.3
P.J. Higgins
2023 · MLB
30 51→55 47→45 49→40 50 .247/.322/.389 .142.317 145 25% 9% 102 +1.9 .237/.294/.360 .123.310 123 26% 7% 83 +0.6 .223/.274/.329.105.29211026%6%63-0.6
Anthony Recker
2014 · MLB
30 43→48 51→50 43→45 47 .220/.295/.378 .157.286 197 29% 9% 89 +0.9 .211/.280/.369 .158.286 206 32% 8% 80 +0.4 .200/.280/.351.151.26619331%9%71-0.1
Tyler Greene
2014 · MLB
30 46→51 48→50 56→55 41 .229/.286/.372 .143.313 1522 31% 6% 83 +0.6 .228/.273/.343 .115.336 1111 34% 5% 69 -0.4 .232/.275/.336.104.3539735%4%66-0.6
Garrett Stubbs
2023 · MLB
30 47 47→45 53→50 54 .234/.320/.370 .136.293 1511 24% 11% 97 +1.5 .225/.300/.336 .111.291 1112 25% 9% 80 +0.4 .217/.289/.307.089.28391125%7%64-0.3
Ed Lucas
2012 · AAA
30 46→56 46→45 52→50 45 .229/.290/.356 .127.291 1410 26% 7% 81 +0.4 .229/.279/.329 .100.292 106 24% 6% 68 -0.5 .256/.307/.325.069.3325323%6%75-0.0
Tommy Field
2016 · MLB
29 44→50 46→45 50→45 46 .222/.289/.353 .131.276 138 24% 7% 79 +0.3 .202/.262/.322 .120.250 126 24% 6% 60 -1.0 .187/.243/.293.105.23111424%5%42-1.5
Hernán Pérez
2021 · MLB
30 46→56 49→50 52→55 43 .237/.281/.383 .145.287 1816 24% 6% 83 +0.6 .238/.283/.373 .135.301 1619 26% 6% 82 +0.5 .238/.283/.362.124.301162426%5%76+0.0
Eric Fryer
2016 · MLB
30 48→58 40→45 51→50 48 .231/.295/.326 .095.298 710 24% 8% 74 -0.1 .232/.302/.311 .079.300 57 22% 9% 73 -0.1 .252/.325/.293.041.3180019%10%76+0.0
Rob Johnson
2012 · MLB
30 44→52 42→45 48→50 50 .211/.291/.323 .111.269 96 24% 9% 72 -0.2 .208/.267/.322 .114.253 126 22% 7% 62 -0.9 .194/.244/.297.104.22811320%6%41-1.0
Steve Tolleson
2014 · MLB
30 48→53 41→45 50 48 .233/.298/.334 .102.291 915 22% 8% 78 +0.2 .229/.294/.333 .104.296 915 24% 8% 76 +0.0 .230/.291/.324.095.29881824%7%71-0.1
John Mayberry Jr.
2014 · MLB
30 47→48 52→55 46→50 47 .240/.297/.410 .170.281 208 22% 7% 98 +1.6 .216/.285/.374 .158.262 176 24% 8% 84 +0.6 .180/.259/.335.155.21217224%9%64-0.2
Tim Federowicz
2019 · MLB
31 47→49 47→50 49→40 42 .236/.285/.371 .136.302 155 27% 6% 82 +0.5 .209/.262/.340 .131.279 156 30% 7% 64 -0.8 .166/.219/.275.108.22315232%6%28-1.3
Miguel Cairo
2005 · MLB
31 53→58 44→45 52→55 47 .257/.313/.380 .123.281 1012 13% 5% 96 +1.5 .246/.298/.341 .095.272 620 11% 6% 79 +0.3 .260/.310/.370.111.287111014%5%89+0.5
Chris Owings
2023 · MLB
31 40→50 47→50 50→55 44 .205/.272/.343 .138.276 1513 31% 8% 70 -0.3 .203/.276/.336 .133.294 1611 34% 8% 70 -0.3 .193/.274/.320.127.282161135%9%62-0.5
Austin Nola
2020 · MLB
30 49→51 45 48→45 49 .240/.309/.367 .127.291 136 22% 8% 92 +1.2 .252/.325/.383 .131.297 135 19% 8% 102 +1.9 .253/.331/.355.102.2909115%9%93+0.6
Chris Herrmann
2017 · MLB
29 47→50 46→50 56→50 45 .230/.291/.367 .137.295 1210 26% 7% 84 +0.6 .219/.301/.371 .152.285 188 28% 10% 89 +1.0 .214/.299/.358.144.30716033%10%82+0.2
Javier Herrera
2015 · AAA
30 52→54 48→50 50 43 .251/.307/.401 .150.333 1516 28% 7% 99 +1.7 .223/.283/.332 .109.334 1010 34% 7% 71 -0.3 .183/.252/.239.056.3045038%8%31-0.6
Pablo Ozuna
2005 · MLB
30 48 44→40 54→55 49 .236/.300/.359 .123.261 1115 15% 6% 85 +0.7 .264/.309/.356 .092.294 623 12% 5% 88 +0.9 .288/.324/.385.098.31941610%3%98+0.5