Eddinson Paulino3B St. Lucie Mets
Age 24 L/R 5'10" / 155 lbs A H +5%HR +3% Svc 0.0 · Ctrl thru 2036 peak 0.1 · 2029
wRC+†58
AVG/OBP/SLG.198 / .255 / .322
PA319
HR7
SB9
K%32
BB%6
MLB%0%
BAT: -15.3 runs (wOBA-derived runs vs avg)-15BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +1.1 runs (Positional adjustment)+1POSREP: +9.0 runs (Replacement-level credit)+9REPTotal WAR: -0.50-0.5WAR
Scouting · nowfuture
HIT
3030
PWR
5050
SPD
4545
EYE
4235
trajectory · 10 yrs
0.1peak
2029

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Arb-3$0.9M
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$1.0M
2034Ext / FA-deal$0.2M
2035Ext / FA-deal$0.4M
2036Ext / FA-deal$0.6M
Totals $3M $-20M -$23M
Underwater contract
Projected production over the remaining contract is worth -$23M 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
201917 ROKDSL Red Sox 1 128115 24130 11331 26 .209.283.270.553 .061.293 269 .250 50 -7 -2 +0 +0 +4 -0.5
202119 ROKFCL Red Sox 133119 281030 9305 52 .235.316.370.686 .134.315 237 .297 85 -2 +0 +0 +0 +4 0.2
202220 ASalem Red Sox 539485 10127712 421576 275 .208.280.367.647 .159.277 298 .279 72 -17 +3 +0 +2 +15 0.3
202321 A+Greenville Drive 500460 9221311 301506 268 .200.258.330.588 .130.267 306 .254 53 -27 +2 +0 +2 +14 -0.9
202422 AA3 teams 372341 681523 241075 1210 .199.262.282.544 .082.279 296 .241 43 -24 -2 +0 +1 +11 -1.4
202523 AA2 teams 389364 609213 191405 73 .165.216.308.524 .143.222 365 .225 30 -31 +0 +0 +1 +11 -1.8
▸ 2026 Season (actual · ROS · total)
202624 ASt. Lucie Mets 2926 6010 231 21 .231.310.308.618 .077.261 107 .260 57 -1 +0 +0 +0 +1 -0.0
ROS24 MLBNYM 290268 541127 17923 73 .201.257.336.593 .134.273 326 .261 58 -14 +0 +0 +1 +8 -0.5
TOT24 MLBNYM 319294 601137 19954 94 .204.262.333.595 .129.275 306 .261 58 -15 +0 +0 +1 +9 -0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 10%NYM 353323 671329 231084 84 .207.269.344.612 .136.276 317 .272 67 -13 +0 +0 +1 +10 -0.2
202826 MLB 25%NYM 395361 7615211 271184 94 .211.273.355.628 .144.278 307 .279 72 -13 +0 +0 +1 +11 0.0
202927 MLB 42%NYM 412375 8016211 291225 94 .213.279.355.633 .141.279 307 .282 74 -12 +0 +0 +1 +12 0.1
203028 MLB 52%NYM 420382 8116211 301255 94 .212.278.351.629 .139.279 307 .282 74 -12 +0 -1 +1 +12 0.0
203129 MLB 63%NYM 417379 8016211 301255 83 .211.278.351.629 .140.278 307 .280 72 -13 +0 -1 +1 +12 -0.1
203230 MLB 72%NYM 412375 7815211 301254 73 .208.274.347.621 .139.277 307 .276 70 -14 +0 -2 +1 +12 -0.3
203331 MLB 90%NYM 400364 7515210 291234 52 .206.272.341.613 .135.275 317 .273 67 -15 +0 -3 +1 +11 -0.5
203432 MLBNYM 383349 711429 271204 32 .203.268.332.601 .129.274 317 .268 63 -16 -0 -4 +1 +11 -0.8
203533 MLBNYM 354322 641228 251134 11 .199.265.323.588 .124.272 327 .262 59 -16 -0 -4 +1 +10 -1.0
203634 MLBNYM 311283 541017 221023 01 .191.256.307.564 .117.270 337 .256 54 -16 -0 -5 +1 +9 -1.2
▸ Career Totals (MLE all levels + projections)
Career 62085665 115323641144 424189073 14565 .204.268.336.604 .132.275 307 .267 62 -263 +3 -20 +22 +176 -8.3
/ 162G 650593 12125415 441988 157 .204.268.336.603 .132.277 307 .267 62 -28 +0 -2 +2 +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
201917 ROKDSL Red Sox 1 128108 31240 18231 26 .287.394.380.773 .093.365 1814 .351 127 +4 -2 +4 0.6
202119 ROKFCL Red Sox 133113 381640 15215 52 .336.436.549.985 .212.413 1611 .432 189 +13 +0 +4 1.8
202220 ASalem Red Sox 539463 123351013 641056 275 .266.362.469.831 .203.314 1912 .364 136 +22 +3 +15 4.2
202321 A+Greenville Drive 500440 11328412 501136 268 .257.341.420.761 .164.317 2310 .338 117 +10 +2 +14 2.6
202422 AANew Hampshire Fisher Cats 295260 691733 29664 118 .265.348.388.737 .123.342 2210 .331 112 +4 -1 +8 1.1
202422 ADunedin Blue Jays 1918 0000 140 00 .000.053.000.053 .000.000 215 .037 -114 -5 +0 +1 -0.4
202422 INTLScottsdale Scorpions 5853 12101 4111 12 .226.293.302.595 .075.268 197 .275 69 -2 -1 +2 -0.1
202523 AANew Hampshire Fisher Cats 360329 6511213 25985 63 .198.265.362.626 .164.237 277 .280 73 -11 +0 +10 -0.1
202523 INTLGigantes del Cibao 2926 6201 350 10 .231.310.423.733 .192.250 1710 .326 108 +0 +0 +1 0.1

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
Eddinson Paulino (OGILVIE) 24 30 50 45 35 .198/.255/.322 .124.273 77 32% 6% 58 -0.6
Drew Robinson
2016 · AAA
24 36→41 48→55 48→50 44 .188/.265/.331 .144.271 1511 35% 9% 65 -0.7 .204/.278/.369 .165.296 1813 35% 9% 79 +0.3 .207/.288/.362.155.320171237%10%78+0.1
Ismael Alcantara
2023 · AA
24 40→30 46→45 50 37 .202/.259/.333 .131.288 1412 34% 6% 62 -0.9 .210/.268/.306 .096.313 917 34% 6% 58 -1.2 .216/.274/.290.074.33172435%6%53-1.0
Jackson Cluff
2021 · A
24 40→29 42→45 51→55 40 .197/.258/.305 .108.275 1012 31% 6% 54 -1.4 .182/.252/.277 .095.281 812 36% 6% 45 -2.1 .181/.273/.314.132.266142835%10%61-0.6
Grae Kessinger
2022 · AA
24 37→29 42→45 48→50 42 .191/.254/.286 .095.257 1114 30% 7% 47 -1.9 .192/.267/.310 .118.259 1415 30% 8% 59 -1.1 .186/.266/.299.113.246141429%9%54-0.9
Orlando Martinez
2022 · AA
24 41→44 47→50 44→45 38 .212/.255/.346 .135.285 156 31% 5% 63 -0.9 .217/.264/.338 .121.287 128 27% 6% 65 -0.7 .224/.282/.338.114.27710722%7%71-0.2
Andy Yerzy
2022 · AA
24 32 50 48→40 41 .175/.260/.318 .143.256 197 38% 8% 60 -1.0 .194/.275/.340 .146.266 186 33% 9% 71 -0.3 .173/.250/.301.128.24617235%8%48-0.9
Cole Roederer
2023 · AA
23 42→33 45 47→50 40 .210/.267/.331 .122.301 1312 34% 7% 64 -0.8 .196/.266/.316 .120.294 1311 35% 8% 61 -1.0 .172/.254/.285.112.260131136%9%46-1.2
Isan Díaz
2019 · AAA
23 39→40 46→55 48→45 43 .198/.269/.330 .132.286 1410 34% 8% 66 -0.6 .209/.280/.354 .145.285 177 31% 8% 76 +0.1 .204/.284/.367.164.26321530%9%75+0.0
Devin Foyle
2022 · AA
25 40→37 46→45 48→45 44 .205/.275/.336 .132.274 1411 30% 8% 69 -0.4 .212/.284/.329 .117.274 127 26% 8% 71 -0.3 .192/.282/.265.072.2456022%10%51-0.6
Mark Contreras
2019 · A
24 40→38 42→50 47→55 38 .195/.256/.302 .107.293 911 35% 6% 53 -1.5 .185/.248/.308 .123.276 1213 36% 6% 51 -1.7 .199/.260/.339.140.286172435%6%61-0.7
Tristan Gray
2019 · A
23 38→34 47→55 42→40 39 .198/.249/.339 .141.275 146 33% 6% 59 -1.1 .202/.266/.351 .149.261 174 29% 7% 70 -0.3 .186/.246/.354.168.23523332%6%60-0.7
Jarek Cunningham
2014 · AA
24 35→36 48→50 47→45 36 .187/.239/.325 .137.259 168 34% 5% 52 -1.6 .200/.253/.334 .134.279 147 32% 6% 59 -1.1 .194/.252/.330.135.27213432%6%56-0.7
Ryan Mount
2011 · AA
24 43 47→50 46→50 38 .221/.257/.352 .131.281 1510 27% 4% 65 -0.7 .230/.273/.362 .132.298 1411 27% 5% 75 -0.0 .243/.288/.385.141.30415825%5%86+0.3
Chase Strumpf
2022 · AA
24 42→35 44→50 48→45 44 .203/.282/.321 .118.296 117 33% 8% 69 -0.4 .196/.293/.355 .159.317 195 41% 10% 83 +0.6 .180/.284/.345.165.29321342%11%73-0.1
Yusuf Carter
2009 · A
24 36→34 48→50 50 34 .193/.233/.333 .140.277 1712 37% 5% 50 -1.7 .220/.261/.362 .142.311 179 34% 5% 69 -0.4 .231/.271/.374.143.31819533%5%74-0.0
Matthew Sweeney
2012 · AA
24 36→41 44→50 49→45 41 .183/.249/.300 .117.266 124 34% 7% 50 -1.8 .198/.255/.308 .110.279 106 31% 7% 53 -1.5 .212/.252/.322.110.2746024%5%52-0.3
Rodolfo Durán
2022 · AAA
24 37 45→55 47→40 37 .196/.231/.317 .121.255 145 30% 4% 45 -2.1 .211/.252/.359 .148.271 174 28% 5% 66 -0.6 .224/.267/.382.158.27519326%5%74-0.0
Mike Peabody
2023 · A
24 37 44→45 47→50 36 .186/.256/.298 .111.288 1212 38% 6% 53 -1.5 .195/.262/.305 .110.289 1212 35% 6% 56 -1.3 .178/.246/.285.106.257121234%5%41-1.1
Cole Armstrong
2008 · AA
24 40→34 44→50 41→30 39 .206/.246/.318 .112.266 123 28% 5% 52 -1.6 .225/.260/.352 .127.276 142 24% 4% 66 -0.6 .227/.278/.360.134.27117123%6%75-0.0
Chris Epps
2013 · A
24 41→36 48→55 48→45 42 .210/.273/.351 .142.298 169 34% 8% 72 -0.2 .197/.270/.336 .139.293 159 35% 9% 67 -0.5 .183/.265/.325.142.27314736%10%62-0.7