Pete Alonso1B Baltimore Orioles
Age 31 R/R 6'3" / 245 lbs MLB HR +8%BB -5% Svc 7.000 · Ctrl thru 2030 peak 1.5 · 2026
wRC+†vL 103122vR 131
AVG/OBP/SLG.242 / .328 / .485
PA634
HR34
K%24
BB%9
xwOBA.321
Barrel%7.7%
MLB%100%
BAT: +16.0 runs (wOBA-derived runs vs avg)+16BATRUN: -0.9 runs (SB/CS + UBR baserunning)-1RUNFLD: -8.1 runs (Defensive runs vs avg)-8FLDPOS: -11.3 runs (Positional adjustment)-11POSREP: +18.0 runs (Replacement-level credit)+18REPTotal WAR: +1.50+1.5WAR
Scouting · nowfuture
HIT
5555
PWR
6060
SPD
3535
EYE
5550
trajectory · 10 yrs
2.8peak
2026

Contract

CONFIRMED  ·  hand-curated extension
Status   FA
MLB Debut   2019
Service   7.000 yrs.days
Team Control Through   2030
First FA Year   2028
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$27M+1.5$12M-$15M
2027Ext / FA-deal$27M+0.8$3M-$24M
2028Ext / FA-deal$31M+0.4$2M-$29M
2029Ext / FA-deal$31M
2030Ext / FA-deal$31M
Totals $147M $14M -$133M
Underwater contract
Projected production over the remaining contract is worth -$133M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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 A+2 teams 393360 8722115 2010412 34 .242.304.433.737 .192.298 265 .320 103 +1 -1 +0 -7 +11 0.5
201823 AAA3 teams 686603 14432135 6019917 43 .239.325.469.794 .231.291 299 .341 119 +15 -0 +0 -12 +19 2.2
201924 MLBNew York Mets 693597 15732350 7218321 10 .263.362.578.940 .315.292 2610 .394 160 +47 +0 -10 -12 +20 4.5
202025 MLBNew York Mets 239208 496016 24616 10 .236.332.495.827 .260.250 2610 .348 124 +7 +0 -5 -4 +7 0.4
202126 MLBNew York Mets 637561 14727437 6012712 30 .262.346.522.868 .260.274 209 .366 138 +27 +1 -4 -11 +18 3.2
202227 MLBNew York Mets 685597 16829041 6712812 51 .281.365.536.901 .255.291 1910 .367 139 +30 +1 -10 -12 +19 2.8
202328 MLBNew York Mets 658568 12522246 6515121 41 .220.323.509.831 .289.211 2310 .348 125 +18 +0 -5 -12 +19 2.0
202429 MLBNew York Mets 695608 14730034 7017213 30 .242.333.459.792 .217.278 2510 .339 118 +14 +1 -12 -12 +20 1.0
202530 MLBNew York Mets 709624 16541137 6116215 12 .264.344.511.856 .247.295 239 .363 136 +29 -1 -13 -13 +20 2.3
▸ 2026 Season (actual · ROS · total)
202631 MLBBaltimore Orioles 11094 20603 15291 10 .213.327.372.700 .160.274 2614 .316 100 -0 +0 +0 -2 +3 0.1
ROS31 MLBBAL 524456 11027126 5312710 31 .241.333.476.809 .235.270 2410 .351 127 +16 +0 -8 -9 +15 1.4
TOT31 MLBBAL 634550 13033129 6815611 41 .236.332.458.790 .222.274 2511 .345 122 +16 +0 -8 -11 +18 1.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202732 MLBBAL 615536 12731130 6211812 10 .237.330.466.796 .229.245 1910 .346 123 +16 +0 -13 -11 +17 1.0
202833 MLBBAL 585510 11829127 5911611 00 .231.324.451.775 .220.243 2010 .340 118 +12 +0 -13 -10 +17 0.5
202934 MLBBAL 536467 10525124 5411110 00 .225.318.437.755 .212.240 2110 .333 113 +8 +0 -13 -10 +15 0.0
203035 MLBBAL 479420 9222121 471049 00 .219.311.426.737 .207.237 2210 .324 106 +3 +0 -13 -9 +14 -0.5
203136 MLBBAL 417366 7618017 41957 00 .208.300.396.696 .189.233 2310 .313 98 -1 +0 -13 -7 +12 -1.0
▸ Career Totals (MLE all levels + projections)
Career 85517481 181739317456 8151958188 2912 .243.332.483.815 .240.266 2310 .349 125 +242 +1 -135 -153 +242 20.2
/ 162G 650569 13830135 6214914 21 .243.332.483.815 .241.265 2310 .349 125 +18 +0 -10 -12 +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
201722 AABinghamton Rumble Ponies 4745 14412 270 00 .311.340.578.918 .267.333 154 .397 162 +3 +0 +1 0.5
201722 A+St. Lucie Mets 346308 8823016 256412 34 .286.362.516.879 .231.314 187 .386 153 +21 -1 +10 3.0
201823 AAALas Vegas 51s 301258 6719121 33787 01 .260.359.585.944 .326.284 2611 .403 167 +23 -0 +9 3.1
201823 AABinghamton Rumble Ponies 273220 6912015 43508 02 .314.443.5731.016 .259.344 1816 .441 196 +30 -1 +8 3.7
201823 INTLScottsdale Scorpions 11298 25706 11282 40 .255.342.510.853 .255.292 2510 .370 142 +5 +1 +3 0.9
201924 MLBNew York Mets 693597 15530253 7218321 10 .260.359.583.942 .323.280 2610 .406 169 +54 +0 -10 -12 +20 5.2
202025 MLBNew York Mets 239208 486016 24616 10 .231.328.490.818 .260.242 2610 .359 133 +9 +0 -5 -4 +7 0.6
202126 MLBNew York Mets 637561 14727337 6012712 30 .262.346.519.865 .257.274 209 .376 146 +33 +1 -4 -11 +18 3.7
202227 MLBNew York Mets 685597 16227040 6712812 51 .271.357.518.874 .246.279 1910 .379 148 +37 +1 -10 -12 +19 3.5
202328 MLBNew York Mets 658568 12321246 6515121 41 .217.320.504.823 .287.205 2310 .358 132 +24 +0 -5 -12 +19 2.6
202429 MLBNew York Mets 695608 14631034 7017213 30 .240.331.459.790 .219.276 2510 .349 125 +20 +1 -12 -12 +20 1.5
202530 MLBNew York Mets 709624 17041138 6116215 12 .272.351.524.875 .252.305 239 .379 148 +38 -1 -13 -13 +20 3.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career 43163763 9511838264 419984100 184 .253.343.516.859 .263.270 2310 .373 144 +214 +2 -61 -77 +122 20.5

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
Pete Alonso (OGILVIE) 31 55 60 35 50 .237/.329/.466 .229.247 313 19% 10% 127 +3.8
Robert Saucedo
2007 · AAA
31 51→57 62→65 41→40 49 .276/.327/.499 .223.276 325 15% 6% 134 +4.1 .268/.312/.471 .203.273 274 14% 5% 121 +3.2 .273/.316/.473.200.27527213%5%121+2.3
C.J. Cron
2021 · MLB
31 46→53 64→65 42→40 46 .255/.323/.494 .240.284 333 24% 7% 131 +3.9 .249/.326/.445 .196.293 242 23% 9% 119 +3.1 .245/.319/.429.184.29123024%8%108+1.8
Evan Gattis
2018 · MLB
31 46→47 60→70 42→30 46 .252/.305/.470 .218.272 292 20% 6% 118 +3.0 .242/.301/.452 .210.266 294 21% 7% 111 +2.5 .222/.284/.438.217.23532122%7%95+1.0
Hunter Renfroe
2023 · MLB
31 44→46 62→70 42→45 48 .245/.307/.469 .224.271 313 23% 8% 118 +3.0 .233/.297/.411 .178.268 222 22% 8% 98 +1.6 .220/.288/.375.155.25518121%8%81+0.2
Christian Walker
2023 · MLB
32 46→52 57→65 42→45 52 .247/.324/.447 .200.276 263 21% 9% 119 +3.1 .245/.322/.458 .213.274 286 22% 9% 121 +3.2 .240/.316/.447.208.27428524%8%111+2.6
Lucas Duda
2017 · MLB
31 47→54 60→65 39→30 55 .252/.346/.471 .220.289 283 23% 11% 134 +4.1 .229/.316/.455 .226.273 302 27% 10% 118 +3.0 .212/.299/.431.219.25430129%9%99+1.1
Jesús Aguilar
2021 · MLB
31 49→50 57→60 41→40 54 .258/.340/.456 .198.296 262 22% 11% 128 +3.6 .245/.311/.418 .173.280 232 21% 8% 106 +2.2 .237/.300/.396.159.27322022%8%91+0.8
Willson Contreras
2023 · MLB
31 45→55 58→60 42→45 51 .239/.342/.446 .207.282 266 24% 10% 127 +3.6 .253/.350/.457 .204.303 247 24% 10% 132 +4.0 .257/.354/.454.198.31524625%10%130+3.0
Joe Crede
2009 · MLB
31 48→53 56→60 33→30 51 .253/.306/.444 .191.249 252 12% 6% 111 +2.5 .236/.300/.420 .184.244 234 15% 8% 102 +1.8 .223/.289/.411.188.22625015%8%92+0.7
Jay Bruce
2019 · MLB
32 47→55 61→65 42→50 52 .251/.321/.476 .225.279 284 22% 9% 125 +3.5 .224/.287/.445 .221.248 304 24% 8% 103 +1.9 .196/.246/.452.256.19238124%6%85+0.3
Ty Wigginton
2009 · MLB
31 53→55 58→60 38→50 49 .276/.336/.485 .208.299 275 18% 7% 134 +4.1 .260/.319/.424 .164.286 204 17% 7% 111 +2.5 .248/.309/.394.146.27517417%7%94+1.1
Juan Rivera
2009 · MLB
31 51→61 55→60 37→40 50 .267/.314/.454 .187.269 243 12% 6% 117 +2.9 .265/.317/.437 .172.271 223 12% 7% 113 +2.6 .266/.323/.425.159.27720312%7%109+2.0
Justin Smoak
2018 · MLB
31 46→52 62→65 43→30 54 .251/.334/.479 .228.284 312 24% 11% 131 +3.9 .238/.341/.447 .209.279 272 24% 13% 126 +3.5 .219/.335/.416.197.25924025%14%113+1.8
Mark Trumbo
2017 · MLB
31 46→51 63→65 44→45 46 .256/.311/.486 .230.290 333 25% 7% 124 +3.4 .247/.302/.441 .194.291 273 25% 7% 108 +2.3 .242/.296/.407.165.28823125%7%94+1.0
Ryan Ludwick
2009 · MLB
31 50→56 62→65 39→45 47 .264/.333/.499 .235.315 295 26% 8% 136 +4.2 .263/.333/.457 .194.305 244 22% 9% 125 +3.5 .249/.324/.424.175.29121022%9%107+1.9
Adam Duvall
2020 · MLB
31 40→46 63→70 44→45 44 .228/.293/.464 .235.260 324 27% 7% 111 +2.5 .226/.288/.474 .248.258 364 29% 7% 112 +2.6 .222/.282/.469.247.26635432%7%105+1.4
Jorge Soler
2023 · MLB
31 41→51 58→65 38→45 52 .222/.310/.423 .201.263 262 27% 10% 108 +2.3 .235/.325/.455 .220.275 292 25% 11% 121 +3.2 .234/.326/.453.219.27329126%11%119+2.5
Randal Grichuk
2022 · MLB
30 45→51 57→70 38→45 43 .244/.288/.437 .194.274 263 23% 6% 102 +1.8 .248/.296/.411 .163.290 204 22% 6% 98 +1.6 .251/.306/.434.183.28520120%6%103+1.2
Cyle Hankerd
2016 · AAA
31 49 58→65 42→45 42 .257/.325/.459 .202.298 266 23% 5% 123 +3.3 .252/.328/.429 .177.296 214 22% 6% 117 +2.9 .248/.330/.409.160.30219123%7%111+1.4
Carlos Quentin
2014 · MLB
31 50→52 58→60 41→45 54 .260/.353/.476 .216.273 252 16% 9% 139 +4.4 .231/.322/.405 .174.257 204 19% 9% 108 +2.3 .170/.282/.295.126.19614021%11%63-0.2