Waldy PeraltaSS DSL Mets Blue
Age 20 R/R 6'0" / 150 lbs ROK H +5%HR +3% Svc 0.0 · Ctrl thru 2037 peak 2.0 · 2033
wRC+†50
AVG/OBP/SLG.198 / .263 / .284
PA45
HR0
K%32
BB%7
MLB%0%
BAT: -2.5 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.5 runs (Positional adjustment)+0POSREP: +1.3 runs (Replacement-level credit)+1REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.0peak
2032

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+1.9$18M+$17M
2033Ext / FA-deal$1.0M+2.0$20M+$19M
2034Ext / FA-deal$1.0M+1.9$19M+$18M
2035Ext / FA-deal$3M+1.7$18M+$14M
2036Ext / FA-deal$5M+1.5$16M+$11M
2037Ext / FA-deal$6M+1.2$13M+$7M
Totals $17M $104M +$87M

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
202418 ROKDSL Mets Blue 4944 4200 2253 01 .091.184.136.320 .045.211 514 .137 -37 -8 -0 +0 +1 +1 -0.6
▸ 2026 Season
202620 MLBNYM 4542 7100 3140 10 .167.222.190.413 .024.291 317 .251 50 -3 +0 +0 +0 +1 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%NYM 116105 23412 9351 20 .219.287.333.620 .114.294 308 .276 69 -4 +0 +0 +1 +3 0.1
202822 MLB 28%NYM 261234 52926 22753 51 .222.297.355.652 .132.295 298 .292 81 -6 +1 +0 +3 +7 0.5
202923 MLB 48%NYM 365326 7513310 321024 71 .230.307.380.687 .150.296 289 .301 89 -5 +1 +0 +4 +10 1.1
203024 MLB 62%NYM 436389 8915312 391205 82 .229.307.375.682 .147.296 289 .307 93 -3 +1 +0 +5 +12 1.5
203125 MLB 80%NYM 478426 9716314 441315 92 .228.307.378.685 .150.297 279 .311 96 -2 +1 +0 +5 +14 1.8
203226 MLB 94%NYM 502444 10317315 471376 92 .232.314.385.699 .153.298 279 .312 97 -2 +1 +0 +5 +14 1.9
203327 MLBNYM 514454 10618415 491416 92 .233.316.390.706 .156.298 2710 .312 97 -2 +1 +0 +6 +15 2.0
203428 MLBNYM 516456 10518315 491436 91 .230.313.382.695 .151.297 289 .311 96 -2 +1 -1 +6 +15 1.9
203529 MLBNYM 511451 10317315 491436 81 .228.312.379.691 .151.296 2810 .309 95 -3 +1 -1 +5 +14 1.7
203630 MLBNYM 503445 10017314 481425 60 .225.307.371.678 .146.295 2810 .306 92 -4 +1 -2 +5 +14 1.5
203731 MLBNYM 491436 9616313 471415 40 .220.303.360.663 .140.293 2910 .302 90 -6 +1 -3 +5 +14 1.2
203832 MLBNYM 474421 9215312 451395 20 .219.301.354.655 .135.292 299 .298 86 -8 +0 -4 +5 +13 0.8
203933 MLBNYM 445396 8514311 421334 00 .215.296.348.645 .134.290 309 .292 82 -9 +0 -4 +5 +13 0.4
204034 MLBNYM 400355 7512210 381234 00 .211.295.341.636 .130.289 3110 .286 77 -10 +0 -5 +4 +11 0.0
204135 MLBNYM 346308 631028 321103 00 .205.286.328.614 .123.286 329 .278 71 -11 +0 -6 +4 +10 -0.3
▸ Career Totals (MLE all levels + projections)
Career 64525732 127521441172 597185471 7913 .222.304.364.668 .142.295 299 .300 88 -87 +11 -25 +69 +183 15.4
/ 162G 650577 12822417 601877 81 .222.302.362.665 .140.295 299 .300 88 -9 +1 -3 +7 +18 1.6

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
202418 ROKDSL Mets Blue 4942 6300 4163 01 .143.265.214.480 .071.231 338 .236 39 -3 -0 +1 -0.2

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
Waldy Peralta (OGILVIE) 20 .198/.263/.284 .086.291 01 32% 7% 50 -0.1
David Bote
2013 · A
20 43→48 38→55 50→45 43 .200/.271/.286 .086.293 48 31% 8% 54 -1.4 .190/.266/.272 .082.263 56 28% 8% 50 -1.8 .234/.308/.397.164.29819627%8%95+1.0
Alex Liddi
2009 · A
20 42→52 40→60 49→50 38 .202/.249/.300 .098.290 79 32% 5% 48 -1.9 .240/.291/.399 .159.335 167 32% 6% 92 +1.2 .241/.296/.424.182.33620533%6%99+1.7
Samad Taylor
2018 · A
20 45→53 37→50 51→65 41 .213/.268/.288 .076.300 410 29% 6% 53 -1.5 .183/.255/.284 .101.259 722 30% 8% 47 -1.9 .236/.312/.377.141.324164630%9%94+0.8
Emmanuel Rivera
2016 · A
20 40→50 35→55 48→45 45 .185/.261/.247 .062.282 312 33% 9% 40 -2.4 .222/.269/.320 .098.293 77 25% 5% 61 -1.0 .246/.303/.412.166.29319422%7%97+1.1
Luis Torrens
2016 · A
20 42→49 38→55 49→30 44 .201/.271/.276 .075.277 55 28% 7% 52 -1.6 .207/.270/.291 .084.263 64 22% 7% 55 -1.4 .228/.285/.376.148.28819027%7%82+0.3
Lane Thomas
2016 · A
20 43→51 37→55 51→55 42 .200/.259/.277 .077.294 39 32% 7% 46 -2.0 .194/.260/.302 .108.313 1013 38% 8% 54 -1.4 .248/.312/.427.179.308211325%7%107+2.0
Eddys Leonard
2021 · A
20 42→46 40→50 46→45 45 .200/.274/.295 .095.288 79 31% 8% 59 -1.1 .227/.293/.378 .151.302 175 29% 7% 89 +0.9 .224/.290/.376.152.29017428%6%83+0.5
Yairo Muñoz
2015 · A
20 41→51 38→50 48→55 42 .195/.251/.276 .081.262 47 26% 6% 43 -2.2 .218/.254/.321 .103.267 109 22% 4% 56 -1.3 .270/.315/.386.116.325111820%5%92+0.6
Agustín Ramírez
2022 · A
20 37→45 43→55 44→50 39 .188/.245/.301 .113.275 114 34% 6% 47 -1.9 .223/.286/.366 .143.284 1611 26% 8% 82 +0.5 .230/.293/.405.176.264221622%7%92+1.1
Tyler Stephenson
2017 · A
20 41→51 38→50 43→30 39 .197/.249/.277 .080.290 63 33% 6% 42 -2.3 .216/.283/.315 .099.290 93 27% 7% 67 -0.5 .253/.327/.399.146.32316125%9%102+1.3
Chris Nelson
2006 · A
20 41→51 38→50 47→50 36 .199/.245/.279 .080.293 68 33% 5% 40 -2.4 .216/.262/.340 .124.278 1111 26% 5% 64 -0.8 .257/.301/.387.130.31113721%5%87+0.6
Bryan De La Cruz
2017 · A
20 42→52 37→55 43→45 42 .197/.261/.267 .071.293 55 33% 7% 45 -2.1 .218/.272/.304 .086.308 57 29% 6% 58 -1.2 .256/.303/.416.160.31419424%6%99+1.4
Austin Dean
2014 · A
20 41→51 40→55 45 45 .197/.269/.289 .093.270 76 28% 8% 55 -1.4 .229/.274/.325 .096.288 76 22% 5% 65 -0.7 .257/.302/.413.156.30417421%5%96+1.1
Derek Norris
2009 · A
20 40→50 42→55 49→50 43 .194/.269/.300 .106.295 96 35% 9% 58 -1.2 .209/.301/.372 .163.281 206 31% 11% 91 +1.1 .254/.332/.403.149.31115522%10%106+1.6
Christian Vázquez
2011 · A
20 43→53 36→50 47→45 40 .204/.251/.267 .063.281 45 28% 5% 40 -2.4 .221/.274/.341 .120.280 134 25% 6% 70 -0.3 .263/.314/.411.148.30118819%7%101+1.2
Brandon Barnes
2006 · A
20 38→48 38→55 47→50 37 .187/.241/.269 .081.271 67 32% 5% 37 -2.7 .181/.227/.256 .075.277 57 34% 5% 27 -3.3 .244/.289/.369.125.331121629%5%80+0.3
Michael Wing
2009 · A
20 45→53 39→55 50→40 39 .213/.258/.303 .090.291 56 28% 5% 52 -1.6 .230/.279/.345 .115.304 94 26% 6% 72 -0.2 .244/.285/.411.167.30419326%4%91+0.7
Peter Bourjos
2007 · A
20 45→55 41→55 52→60 36 .213/.257/.319 .106.318 711 34% 5% 56 -1.3 .233/.274/.346 .113.308 822 26% 5% 70 -0.3 .250/.299/.403.153.305122822%5%94+1.2
Brendan Rodgers
2016 · A
19 43→53 40→50 46→45 39 .205/.255/.298 .093.301 77 33% 6% 50 -1.8 .224/.267/.352 .128.288 145 27% 4% 69 -0.4 .253/.308/.383.131.29813019%6%93+0.8
Rainel Rosario
2009 · A
20 36→46 40→50 45→50 39 .176/.248/.268 .092.289 79 39% 7% 40 -2.4 .205/.272/.319 .114.308 99 34% 7% 64 -0.8 .253/.308/.402.150.28519618%7%96+1.1