Carson BengeOF New York Mets
Age 23 L/R 6'1" / 184 lbs MLB H +5%HR +3% Svc 0.000 · Ctrl thru 2031 peak 1.9 · 2030
wRC+†76
AVG/OBP/SLG.241 / .314 / .398
PA250
HR7
SB13
K%23
BB%8
MLB%100%
BAT: -6.8 runs (wOBA-derived runs vs avg)-7BATRUN: +2.7 runs (SB/CS + UBR baserunning)+3RUNFLD: +1.5 runs (Defensive runs vs avg)+1FLDPOS: -2.7 runs (Positional adjustment)-3POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: +0.10+0.1WAR
Scouting · nowfuture
HIT
4858
PWR
4953
SPD
5453
FLD
5053
EYE
5150
trajectory · 10 yrs
1.8peak
2029

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2026
Service   0.000 yrs.days
Team Control Through   2031
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Pre-Arb$0.8M+0.1$0.4M+$0.0M (cut)
2027Pre-Arb$0.8M+1.4$12M+$11M
2028Pre-Arb$0.8M+1.7$14M+$14M
2029Arb-1$4M+1.8$16M+$12M
2030Arb-2$7M+1.9$17M+$10M
2031Arb-3$10M+1.7$16M+$6M
Totals $23M $75M +$52M

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
202421 ASt. Lucie Mets 6958 14302 8203 30 .241.362.397.759 .155.333 2912 .327 108 +1 +1 +0 -1 +2 0.3
202522 A+3 teams 519467 11221613 421178 224 .240.313.394.707 .154.292 238 .308 94 -4 +3 +0 -6 +15 0.9
▸ 2026 Season (actual · ROS · total)
202623 MLBNew York Mets 7669 11202 7190 60 .159.237.275.512 .116.188 259 .234 37 -5 +1 +1 -1 +2 -0.2
ROS23 MLBNYM 174155 36715 15402 71 .232.308.387.695 .155.277 239 .307 93 -1 +1 +1 -2 +5 0.3
TOT23 MLBNYM 250224 47917 22592 131 .210.286.353.639 .143.252 249 .285 76 -7 +2 +1 -3 +7 0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLBNYM 529472 11120416 461056 203 .235.311.396.707 .161.268 209 .314 98 -1 +3 +2 -6 +15 1.3
202825 MLBNYM 535476 11421417 481076 213 .239.317.408.725 .168.270 209 .319 103 +2 +3 +2 -6 +15 1.6
202926 MLBNYM 536477 11421417 481086 213 .239.316.407.723 .168.272 209 .322 105 +3 +3 +2 -6 +15 1.7
203027 MLBNYM 531471 11321417 491076 202 .240.319.410.729 .170.273 209 .322 105 +3 +3 +2 -6 +15 1.8
203128 MLBNYM 523464 11120417 481076 192 .239.319.409.728 .170.273 209 .322 104 +2 +3 +1 -6 +15 1.6
203229 MLBNYM 511453 10720316 471066 182 .236.316.400.716 .163.272 219 .320 103 +2 +3 +0 -5 +14 1.4
203330 MLBNYM 499445 10319315 461055 161 .231.310.389.699 .157.271 219 .317 101 +0 +3 -1 -5 +14 1.2
203431 MLBNYM 484431 10018315 451045 130 .232.312.392.704 .160.270 219 .313 98 -1 +3 -1 -5 +14 0.9
203532 MLBNYM 465414 9417313 431025 110 .227.307.377.684 .150.269 229 .309 94 -3 +2 -2 -5 +13 0.6
203633 MLBNYM 435388 8816312 40994 90 .227.306.376.682 .149.268 239 .303 90 -5 +2 -3 -5 +12 0.2
203734 MLBNYM 389346 7513210 36924 70 .217.298.353.651 .136.267 249 .297 86 -6 +1 -4 -4 +11 -0.2
203835 MLBNYM 335299 641128 30823 50 .214.292.344.637 .130.265 249 .290 80 -8 +1 -5 -4 +9 -0.5
▸ Career Totals (MLE all levels + projections)
Career 65345816 135624846193 591140175 21221 .233.312.391.703 .158.273 219 .313 98 -16 +34 -7 -70 +185 12.9
/ 162G 650579 13525519 591397 212 .233.312.392.704 .159.274 219 .313 98 -2 +3 -1 -7 +18 1.3

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
202421 ASt. Lucie Mets 6955 15302 11143 30 .273.420.436.857 .164.333 2016 .390 157 +4 +1 +2 0.7
202522 AAASyracuse Mets 10390 16113 9193 30 .178.275.311.586 .133.188 189 .268 63 -4 +1 +3 -0.1
202522 AABinghamton Rumble Ponies 145126 40618 18231 42 .317.407.571.978 .254.337 1612 .427 185 +14 +0 +4 1.8
202522 A+Brooklyn Cyclones 271225 681854 41504 152 .302.419.480.899 .178.372 1815 .399 164 +19 +2 +8 3.0

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
Carson Benge (OGILVIE) 23 48→58 49→53 54→53 50 .228/.302/.380 .152.261 710 19% 8% 93 +0.5
Leo Heras
2013 · AAA
23 54→64 48→50 52→55 47 .268/.315/.403 .135.294 1618 15% 6% 103 +1.9 .237/.300/.368 .131.289 1318 22% 8% 87 +0.8 .244/.318/.385.141.314131825%9%97+0.9
Gregory Polanco
2015 · MLB
23 51→55 47→60 54→55 48 .253/.306/.393 .140.293 1425 19% 7% 96 +1.5 .255/.315/.405 .150.299 1521 19% 8% 103 +1.9 .250/.322/.455.204.278241419%9%113+2.3
Colby Rasmus
2009 · AAA
22 43→53 51→60 53→50 48 .221/.289/.380 .159.263 1916 24% 8% 87 +0.8 .243/.312/.416 .173.291 2010 23% 9% 105 +2.1 .237/.305/.454.217.30928332%8%109+1.8
Ryan Kalish
2011 · MLB
23 49→51 47→50 56→55 47 .244/.303/.381 .137.299 1421 23% 8% 92 +1.2 .232/.287/.349 .117.296 1222 24% 7% 77 +0.1 .216/.264/.311.095.29182027%6%53-0.9
Domonic Brown
2012 · MLB
24 50→55 50→55 52→55 49 .252/.317/.410 .158.307 1719 24% 8% 106 +2.2 .252/.310/.408 .156.291 1710 19% 8% 102 +1.9 .251/.305/.408.156.28418718%7%93+1.1
Andrew Benintendi
2018 · MLB
24 52→62 50→55 51→50 53 .260/.328/.423 .163.287 1715 16% 9% 114 +2.7 .260/.338/.416 .156.305 1515 19% 10% 116 +2.8 .265/.336/.422.158.310151319%9%114+2.7
Daulton Varsho
2020 · AA
24 48→49 52→60 55→50 45 .246/.304/.414 .168.285 2019 22% 6% 102 +1.9 .238/.303/.424 .186.278 2216 23% 8% 105 +2.1 .235/.301/.435.201.269261523%8%102+1.6
Cedric Mullins
2019 · MLB
24 46→56 48→55 53→60 44 .233/.276/.379 .145.272 1415 20% 5% 80 +0.4 .229/.283/.363 .134.269 1422 20% 6% 79 +0.3 .254/.323/.426.171.293192719%8%108+2.3
Andrés Giménez
2022 · MLB
23 47→57 47→50 55 39 .235/.289/.376 .141.297 1524 26% 4% 85 +0.7 .263/.326/.414 .151.311 1624 20% 5% 111 +2.5 .263/.325/.396.133.304142718%5%101+1.8
DJ Stewart
2018 · AA
24 46→48 48→60 52→50 48 .232/.304/.375 .143.287 1616 24% 8% 92 +1.2 .226/.301/.386 .160.275 1912 24% 8% 94 +1.3 .217/.322/.406.189.25924426%12%104+1.0
Corey Patterson
2003 · MLB
23 48→55 47→55 54→60 39 .242/.281/.380 .137.292 1516 23% 4% 82 +0.5 .259/.300/.428 .169.315 1922 23% 5% 103 +1.9 .253/.298/.425.172.307202524%5%96+1.3
Akil Baddoo
2022 · MLB
23 48→51 49→55 56→55 48 .237/.308/.393 .156.316 1620 29% 9% 98 +1.6 .226/.305/.368 .142.297 1423 27% 10% 90 +1.0 .214/.295/.378.164.277172828%10%85+0.5
Trent Grisham
2020 · MLB
23 42→48 50→60 54→55 50 .214/.297/.367 .153.276 1714 28% 10% 87 +0.8 .228/.315/.400 .172.282 1914 25% 10% 102 +1.9 .210/.323/.396.186.25124826%13%101+1.3
Sal Frelick
2023 · AAA
23 57→60 44→45 55 48 .274/.328/.399 .124.315 1018 16% 6% 107 +2.2 .262/.325/.364 .102.303 819 15% 8% 96 +1.5 .264/.332/.354.090.30272014%8%92+1.0
Austin Meadows
2019 · MLB
24 47→56 50→65 54→55 44 .240/.283/.404 .163.273 1719 20% 5% 90 +1.0 .261/.327/.480 .219.299 2712 22% 8% 128 +3.7 .255/.336/.495.240.28930823%10%129+2.7
Max Kepler
2017 · MLB
24 49→57 48→60 54→50 51 .244/.308/.401 .157.285 1310 19% 8% 99 +1.7 .238/.314/.418 .180.265 207 18% 9% 107 +2.2 .234/.319/.433.200.24824417%10%108+2.2
Brian Goodwin
2014 · AA
23 46→52 45→60 50 48 .226/.299/.357 .132.297 1215 27% 9% 85 +0.7 .214/.278/.326 .112.294 1013 29% 8% 67 -0.5 .243/.309/.437.195.311231128%8%105+1.3
Miguel Vargas
2023 · MLB
23 48→52 51→55 51→50 48 .244/.304/.405 .161.281 1912 21% 7% 99 +1.7 .220/.307/.378 .158.261 1611 22% 10% 94 +1.3 .211/.309/.373.162.247161021%11%91+1.0
Chris Coghlan
2009 · AA
24 51→61 44→50 55 51 .249/.314/.377 .128.284 1021 16% 8% 95 +1.4 .274/.340/.401 .127.319 916 16% 8% 112 +2.6 .276/.346/.402.126.32191416%9%110+2.0
Felix Pie
2008 · MLB
23 50→55 47→50 52→60 42 .249/.291/.393 .143.311 1317 24% 5% 90 +1.0 .250/.297/.388 .138.304 1313 21% 6% 91 +1.1 .256/.309/.411.155.305152521%6%99+1.1