AJ Salgado3B St. Lucie Mets
Age 24 L/R 6'3" / 220 lbs A H +5%HR +3% Svc 0.0 · Ctrl thru 2036 peak 0.7 · 2029
wRC+†72
AVG/OBP/SLG.213 / .278 / .332
PA95
HR2
K%29
BB%7
MLB%0%
BAT: -3.0 runs (wOBA-derived runs vs avg)-3BATRUN: -0.0 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.3 runs (Positional adjustment)+0POSREP: +2.7 runs (Replacement-level credit)+3REPTotal WAR: -0.00-0.0WAR
trajectory · 10 yrs
0.7peak
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+0.6$3M+$2M
2032Ext / FA-deal$0.9M+0.4$2M+$1.0M
2033Ext / FA-deal$1.0M+0.2$1.0M+$0.0M
2034Ext / FA-deal$0.2M
2035Ext / FA-deal$0.4M
2036Ext / FA-deal$0.6M
Totals $4M $0.4M -$4M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202523 ASt. Lucie Mets 8574 18501 8251 61 .243.325.351.677 .108.340 299 .298 86 -1 +1 +0 +0 +2 0.2
▸ 2026 Season (actual · ROS · total)
202624 ASt. Lucie Mets 7668 14302 5301 21 .206.270.338.609 .132.316 397 .280 72 -2 +0 +0 +0 +2 0.0
ROS24 MLBNYM 1918 3100 160 00 .167.211.222.433 .056.294 325 .275 69 -1 +0 +0 +0 +1 -0.0
TOT24 MLBNYM 9586 17402 6361 21 .198.258.314.572 .116.300 386 .279 72 -3 +0 +0 +0 +3 -0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 10%NYM 163147 33614 13402 31 .224.296.361.657 .136.278 258 .296 85 -3 +0 +0 +1 +5 0.3
202826 MLB 25%NYM 259232 531017 22633 51 .228.304.371.674 .142.280 248 .301 89 -3 +1 +0 +1 +7 0.6
202927 MLB 42%NYM 315282 661229 27763 62 .234.308.387.694 .152.281 249 .302 90 -4 +0 +0 +1 +9 0.7
203028 MLB 52%NYM 351314 721329 30854 62 .229.305.369.674 .140.281 249 .302 89 -4 +0 -1 +1 +10 0.7
203129 MLB 63%NYM 366328 7413210 31904 61 .226.300.369.669 .143.280 258 .300 88 -5 +1 -1 +1 +10 0.6
203230 MLB 72%NYM 375336 7513210 32944 51 .223.298.363.661 .140.278 259 .297 85 -6 +1 -2 +1 +11 0.4
203331 MLB 81%NYM 369330 731329 32944 30 .221.298.355.652 .133.277 259 .293 82 -7 +1 -3 +1 +10 0.2
203432 MLBNYM 356320 701229 30923 10 .219.292.353.645 .134.275 268 .288 79 -9 +0 -4 +1 +10 -0.1
203533 MLBNYM 329295 631127 28873 00 .214.288.336.624 .122.274 269 .283 75 -9 +0 -4 +1 +9 -0.3
203634 MLBNYM 288259 53916 24793 00 .205.280.317.596 .112.272 278 .276 70 -10 +0 -5 +1 +8 -0.6
▸ Career Totals (MLE all levels + projections)
Career 32752935 6531181781 27883134 419 .222.297.357.654 .135.280 258 .294 83 -63 +5 -20 +12 +93 2.7
/ 162G 650583 12923316 551657 82 .221.297.353.650 .132.278 258 .294 83 -12 +1 -4 +2 +18 0.5

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
202523 ASt. Lucie Mets 8572 19501 10191 61 .264.361.375.736 .111.333 2212 .329 110 +1 +1 +2 0.4

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
AJ Salgado (OGILVIE) 24 .213/.278/.332 .119.290 22 29% 7% 70 -0.1
Chris Meyers
2023 · A
24 42→46 44→50 51→40 43 .212/.273/.333 .122.278 129 28% 7% 67 -0.5 .228/.285/.377 .149.300 185 29% 6% 85 +0.7 .226/.286/.378.152.29419329%6%82+0.3
Ryan Schimpf
2012 · A
24 38→39 46→60 51→45 40 .193/.263/.329 .136.276 138 33% 7% 63 -0.9 .199/.276/.370 .171.267 205 32% 8% 79 +0.3 .201/.284/.419.218.23528228%9%91+0.9
Kyle Isbel
2021 · A
24 43→51 45→50 52→55 39 .215/.260/.338 .123.281 1217 28% 5% 63 -0.9 .225/.284/.361 .136.286 1318 25% 6% 79 +0.3 .226/.284/.366.140.280131924%6%78+0.1
Matthew Acosta
2022 · A
24 45 44→45 53→50 46 .219/.290/.343 .124.299 119 29% 8% 77 +0.1 .205/.273/.316 .111.294 1113 32% 8% 63 -0.9 .181/.252/.276.095.261101633%8%42-1.4
Matt Lloyd
2021 · A
25 44→42 46→50 46→50 42 .218/.279/.349 .131.306 139 32% 7% 74 -0.1 .215/.282/.373 .158.319 207 37% 7% 82 +0.5 .214/.289/.352.138.288171230%9%78+0.1
Ka'ai Tom
2018 · A
24 46→49 44→55 52→50 47 .223/.285/.344 .120.280 1014 24% 8% 75 -0.0 .231/.294/.389 .158.297 1611 27% 7% 91 +1.1 .218/.291/.382.164.28418729%7%85+0.5
Brett Harris
2022 · A
24 45→50 45 49→50 43 .220/.290/.339 .119.296 1211 29% 7% 76 +0.1 .239/.311/.381 .142.289 1610 22% 8% 96 +1.5 .236/.316/.369.133.28415922%8%91+0.9
Peter Clifford
2008 · A
24 43→47 46→45 51→45 45 .216/.280/.350 .134.283 148 28% 8% 75 -0.0 .216/.283/.332 .116.292 108 28% 8% 71 -0.3 .215/.281/.328.113.2869827%8%68-0.4
Luis Santana
2023 · A
24 44 45 48→50 42 .218/.280/.341 .124.281 1311 27% 6% 73 -0.1 .212/.267/.334 .122.269 147 26% 5% 66 -0.6 .195/.248/.310.116.24115525%5%48-1.0
Drew Campbell
2023 · A
25 46 43→55 49→50 39 .229/.271/.337 .109.301 1112 28% 5% 66 -0.6 .228/.272/.359 .131.310 1513 30% 4% 74 -0.1 .225/.265/.384.158.300221532%3%76+0.0
Tucker Bradley
2022 · A
24 48→51 42→50 53→50 46 .229/.299/.338 .109.312 811 28% 8% 79 +0.3 .241/.306/.373 .132.315 1215 26% 8% 91 +1.1 .246/.311/.388.142.315141725%8%94+0.9
Robert Neustrom
2021 · A
24 43→44 43→50 49→50 41 .214/.260/.328 .113.280 117 27% 6% 60 -1.0 .219/.273/.360 .141.270 1512 24% 6% 74 -0.1 .212/.269/.359.147.253171423%6%69-0.3
Carter Williams
2022 · A
24 43 46→50 50→45 37 .218/.252/.353 .135.284 139 28% 4% 63 -0.8 .230/.276/.361 .131.301 159 28% 5% 76 +0.0 .226/.276/.350.123.29415928%5%72-0.1
Tim Wheeler
2011 · A
23 43→52 44→50 50 43 .215/.276/.330 .115.277 1214 26% 6% 68 -0.5 .235/.289/.369 .134.309 1413 27% 6% 83 +0.6 .237/.290/.360.124.314131328%6%78+0.2
Quincy Hamilton
2022 · A
24 46→45 40→50 51→50 46 .221/.294/.312 .091.301 815 28% 8% 71 -0.3 .219/.299/.359 .140.283 1615 27% 9% 85 +0.7 .205/.290/.355.150.260171427%9%78+0.1
Reid Fronk
2010 · A
24 42→48 44→45 45→50 46 .207/.289/.325 .118.276 1110 28% 8% 73 -0.1 .204/.289/.298 .094.286 68 28% 9% 66 -0.6 .196/.286/.284.087.2794728%9%59-0.8
Christopher Familia
2023 · A
23 40 45→55 47→45 45 .204/.281/.326 .122.262 138 27% 7% 70 -0.3 .219/.278/.391 .172.284 224 30% 6% 85 +0.7 .215/.266/.411.196.27028032%5%81+0.2
Daniel Schneemann
2022 · AA
25 45→49 43→50 51→50 42 .220/.275/.325 .105.295 1013 28% 6% 66 -0.6 .212/.276/.326 .114.289 1117 29% 8% 67 -0.5 .226/.305/.377.151.297151328%10%89+0.7
Matt Mangini
2010 · AA
24 44→50 44→45 49→45 40 .218/.271/.331 .113.293 127 29% 6% 66 -0.6 .248/.290/.362 .114.327 116 26% 5% 81 +0.4 .260/.301/.363.103.34510426%5%83+0.3
Gage Green
2017 · A
24 44 40→45 46→50 41 .212/.273/.302 .090.284 810 28% 6% 59 -1.1 .205/.263/.291 .086.276 78 27% 6% 53 -1.5 .174/.224/.236.062.2260022%4%24-0.6