Jarrod Belbin1B ACL Mariners
Age 26 L/R 6'2" / 220 lbs ROK HR +3% Svc 0.0 · Ctrl thru 2037
wRC+†74
AVG/OBP/SLG.212 / .285 / .334
PA102
HR2
K%29
BB%8
MLB%0%
BAT: -3.0 runs (wOBA-derived runs vs avg)-3BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -1.8 runs (Positional adjustment)-2POSREP: +2.9 runs (Replacement-level credit)+3REPTotal WAR: -0.20-0.2WAR
Scouting · nowfuture
HIT
4040
PWR
3737
SPD
4949
EYE
4949
trajectory · 10 yrs
-0.2peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2032
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$1.0M
2034Ext / FA-deal$1.0M
2035Extbeyond projection horizon · no WAR estimate
2036Extbeyond projection horizon · no WAR estimate
2037Extbeyond projection horizon · no WAR estimate
Totals $3M $-17M -$20M
Underwater contract
Projected production over the remaining contract is worth -$20M 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
202323 ROK2 teams 5750 9012 6120 42 .180.268.340.608 .160.189 2111 .264 60 -3 +0 +0 -1 +2 -0.2
202424 ROK3 teams 328294 65844 26896 101 .221.298.316.614 .095.300 278 .274 68 -12 +2 +0 -6 +9 -0.7
▸ 2026 Season
202626 MLBSEA 10292 19312 8291 20 .207.277.326.603 .120.286 288 .282 74 -3 +0 +0 -2 +3 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202727 MLB 10%SEA 126113 25413 11361 21 .221.296.354.650 .133.287 299 .286 77 -3 +0 +0 -2 +4 -0.2
202828 MLB 20%SEA 216194 42715 18612 41 .216.290.340.630 .124.287 288 .288 78 -5 +0 -1 -4 +6 -0.3
202929 MLB 34%SEA 271243 53926 23763 41 .218.294.346.639 .128.287 288 .287 78 -7 +0 -1 -5 +8 -0.5
203030 MLB 48%SEA 308276 601127 26873 51 .217.292.348.640 .130.285 288 .285 76 -8 +1 -2 -6 +9 -0.7
203131 MLB 62%SEA 317284 611127 27913 50 .215.290.342.631 .127.284 299 .281 74 -9 +1 -3 -6 +9 -0.8
203232 MLB 80%SEA 313280 581026 27913 40 .207.284.321.605 .114.282 299 .277 70 -11 +1 -4 -6 +9 -1.0
203333 MLBSEA 293263 54926 25883 40 .205.282.323.605 .118.281 309 .271 66 -11 +1 -4 -5 +8 -1.2
203434 MLBSEA 256230 46815 22792 40 .200.276.309.584 .109.279 319 .265 61 -11 +1 -5 -5 +7 -1.3
▸ Career Totals (MLE all levels + projections)
Career 25872319 492801953 21973927 487 .212.288.332.619 .119.285 298 .279 71 -84 +7 -20 -46 +73 -7.1
/ 162G 650583 12320513 551867 122 .211.287.329.617 .118.284 298 .279 71 -21 +2 -5 -12 +18 -1.8

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
202323 ROKACL Mariners 3528 6011 650 42 .214.353.393.746 .179.217 1417 .329 110 +0 +0 +1 0.1
202323 INTLMelbourne Aces 2221 3100 130 00 .143.182.190.372 .048.167 145 .172 -10 -3 +0 +1 -0.2
202424 AModesto Nuts 7462 11110 11221 10 .177.311.226.537 .048.275 3015 .263 59 -3 +0 +2 -0.1
202424 ROKACL Mariners 144125 43643 15203 71 .344.427.528.955 .184.388 1410 .418 178 +13 +1 +4 1.8
202424 INTLMelbourne Aces 11096 16302 11262 20 .167.266.260.526 .094.203 2410 .246 47 -7 +0 +3 -0.3

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
Jarrod Belbin (OGILVIE) 26 40 37 49 49 .212/.285/.334 .122.286 22 29% 8% 74 -0.0
Mitch Longo
2021 · AA
26 45 42→45 51→50 41 .218/.268/.325 .106.285 913 26% 6% 62 -0.9 .227/.274/.372 .145.296 1618 28% 5% 78 +0.2 .222/.267/.379.157.284192229%5%73-0.1
Chantz Mack
2017 · AA
26 45→47 44→45 45 47 .222/.290/.336 .113.293 115 27% 8% 75 -0.0 .216/.293/.320 .104.299 106 28% 10% 72 -0.2 .153/.267/.207.054.2125027%14%32-0.5
Cal Towey
2016 · AA
26 46→49 42→45 49→50 45 .214/.297/.319 .105.319 813 33% 9% 75 -0.0 .201/.284/.304 .103.318 910 36% 9% 66 -0.6 .189/.280/.295.106.3039937%10%59-0.8
Albert Baur
2018 · A
26 48 43→45 47→30 42 .232/.279/.343 .111.301 103 26% 6% 72 -0.2 .227/.275/.342 .115.283 123 23% 6% 70 -0.3 .221/.271/.335.114.26613122%5%65-0.6
Ian Bladergroen
2009 · A
26 43→41 44→45 49→30 40 .207/.281/.324 .118.297 115 32% 6% 69 -0.4 .216/.269/.349 .133.270 135 24% 6% 69 -0.4 .207/.258/.351.144.25114124%5%64-0.5
Nathan Panther
2007 · AA
26 44→43 42→45 45 46 .215/.277/.319 .103.272 98 24% 7% 65 -0.7 .226/.295/.355 .129.281 127 23% 8% 82 +0.5 .229/.305/.375.146.27615622%9%88+0.5
Mike Gonzales
2014 · A
26 43→49 46→50 49→30 43 .213/.283/.340 .127.294 143 31% 8% 74 -0.1 .213/.275/.337 .124.290 133 30% 6% 69 -0.4 .207/.268/.324.116.28012029%6%60-0.6
Gabe Snyder
2021 · A
26 41→37 47→50 45→40 42 .208/.270/.338 .131.276 155 30% 7% 68 -0.5 .211/.284/.355 .144.299 158 32% 8% 79 +0.3 .173/.267/.342.169.23518734%10%65-0.2
Nick Baligod
2013 · A
25 48 44→40 49→45 47 .235/.294/.352 .117.288 117 22% 7% 81 +0.4 .239/.292/.329 .090.272 67 14% 7% 73 -0.1 .241/.295/.318.077.2695612%6%68-0.3
Logan Parker
2009 · A
25 47→48 46→45 49→45 46 .233/.292/.364 .131.299 146 26% 8% 83 +0.6 .209/.269/.319 .110.282 107 28% 7% 62 -0.9 .188/.255/.283.095.2567528%8%43-1.6
Dillon Paulson
2023 · AA
26 45→36 46→50 45→30 49 .226/.295/.355 .129.282 146 24% 8% 82 +0.5 .222/.287/.335 .113.289 105 25% 8% 73 -0.1 .219/.282/.320.101.2868025%8%64-0.3
Shayne Fontana
2022 · AA
25 41 42→45 48→55 46 .197/.276/.303 .106.284 99 32% 9% 61 -1.0 .215/.297/.325 .110.300 1114 30% 9% 76 +0.1 .222/.305/.326.104.296111927%8%77+0.1
Reid Fronk
2011 · A
25 44→48 41→45 47→50 48 .211/.297/.318 .107.282 89 26% 9% 75 -0.0 .199/.281/.288 .089.290 57 30% 9% 59 -1.1 .170/.256/.249.079.2595433%9%37-1.6
Matthew Page
2017 · A
25 46→45 41→45 48→45 44 .221/.275/.326 .105.292 86 26% 7% 66 -0.6 .207/.263/.303 .096.312 86 33% 7% 55 -1.4 .159/.220/.220.062.2754441%7%12-1.3
Sawyer Carroll
2012 · AA
26 46→55 46→45 47→45 46 .226/.286/.359 .133.293 138 27% 8% 79 +0.3 .219/.277/.334 .115.276 1110 24% 7% 69 -0.4 .209/.263/.299.090.25981222%7%50-1.2
Michael Gigliotti
2022 · A
26 45 41→40 54→55 44 .216/.285/.318 .103.296 821 28% 7% 69 -0.4 .208/.306/.322 .114.289 1121 29% 10% 80 +0.4 .196/.305/.296.100.26792427%11%71-0.1
Jacob Rhinesmith
2021 · A
25 42→43 43→45 49→50 45 .207/.264/.316 .109.250 1011 22% 6% 59 -1.1 .211/.276/.321 .110.275 109 25% 7% 66 -0.6 .212/.281/.339.126.27011825%8%69-0.3
Mike Papi
2019 · AAA
26 44→47 46→45 45 49 .220/.298/.347 .127.290 135 28% 9% 82 +0.5 .217/.284/.324 .107.302 97 29% 8% 69 -0.4 .167/.226/.209.042.2480030%6%12-0.7
Luis González
2021 · AA
25 45→50 44→45 46→50 44 .224/.275/.340 .116.281 1111 24% 6% 69 -0.4 .227/.297/.343 .116.291 1218 25% 8% 80 +0.4 .230/.308/.344.114.294122225%9%81+0.2
Matt Skole
2015 · AA
26 41→39 48→50 49→40 47 .207/.287/.349 .142.287 176 32% 10% 78 +0.2 .202/.270/.346 .144.260 183 29% 8% 70 -0.3 .192/.259/.346.154.23421228%8%63-0.6