Cristopher LarezSS DSL Mets Orange
Age 20 R/R 6'1" / 190 lbs ROK Svc 0.0 · Ctrl thru 2037 peak 2.2 · 2033
wRC+56
AVG/OBP/SLG.202 / .268 / .294
PA62
HR1
K%31
BB%7
MLB%0%
BAT: -3.1 runs (wOBA-derived runs vs avg)-3BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.7 runs (Positional adjustment)+1POSREP: +1.8 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · 10 yrs
2.2peak
2033

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+2.1$20M+$19M
2033Ext / FA-deal$1.0M+2.2$22M+$21M
2034Ext / FA-deal$1.0M+2.1$21M+$20M
2035Ext / FA-deal$4M+1.8$19M+$15M
2036Ext / FA-deal$5M+1.6$17M+$12M
2037Ext / FA-deal$6M+1.3$14M+$8M
Totals $19M $113M +$95M

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
202317 ROKDSL Mets Orange 9788 15501 6431 93 .170.232.261.493 .091.304 446 .208 17 -9 +1 +0 +1 +3 -0.5
202519 ROKDSL Mets Orange 6151 6201 7273 32 .118.262.216.478 .098.217 4411 .218 25 -5 -0 +0 +1 +2 -0.3
▸ 2026 Season
202620 MLB 6256 11201 5191 10 .196.274.286.560 .089.290 318 .258 56 -3 +0 +0 +1 +2 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11% 150135 29513 12442 31 .215.289.333.622 .119.293 298 .281 74 -4 +0 +0 +2 +4 0.2
202822 MLB 28% 287257 571027 25813 61 .222.298.358.656 .136.294 289 .296 85 -5 +1 +0 +3 +8 0.7
202923 MLB 48% 383342 7814310 341054 82 .228.305.374.680 .146.295 279 .305 91 -4 +1 +0 +4 +11 1.2
203024 MLB 62% 448399 9216313 411215 92 .231.310.383.694 .153.295 279 .310 96 -2 +1 +0 +5 +13 1.7
203125 MLB 80% 486432 9917314 461305 102 .229.311.380.690 .150.296 279 .314 98 -1 +1 +0 +5 +14 2.0
203226 MLB 94% 507448 10418315 481356 102 .232.315.386.701 .154.296 279 .315 100 -0 +1 +0 +5 +14 2.1
203327 MLB 517456 10518315 501396 102 .230.314.382.696 .151.296 2710 .315 100 -0 +1 +0 +6 +15 2.2
203428 MLB 518456 10518315 511406 91 .230.316.382.697 .151.296 2710 .314 99 -1 +1 -1 +6 +15 2.1
203529 MLB 512451 10418315 501406 81 .231.316.384.699 .153.295 2710 .312 97 -2 +1 -1 +5 +15 1.8
203630 MLB 504444 10017314 491396 71 .225.311.372.682 .146.294 2810 .309 95 -3 +1 -2 +5 +14 1.6
203731 MLB 492436 9817314 481385 50 .225.309.374.683 .149.292 2810 .305 92 -5 +1 -3 +5 +14 1.3
203832 MLB 474420 9316313 461355 20 .221.306.367.672 .145.291 2810 .301 88 -6 +0 -4 +5 +13 0.9
203933 MLB 445394 8414211 431305 10 .213.299.343.641 .129.289 2910 .295 84 -8 +0 -4 +5 +13 0.5
204034 MLB 400354 7512210 391204 00 .212.297.342.639 .130.287 3010 .289 79 -9 +0 -5 +4 +11 0.1
204135 MLB 346307 631028 331083 00 .205.289.329.618 .124.285 3110 .281 73 -10 +0 -6 +4 +10 -0.3
204236 MLB 288256 51826 27933 00 .199.283.316.600 .117.282 329 .272 67 -11 +0 -6 +3 +8 -0.6
▸ Career Totals (MLE all levels + projections)
Career 69776182 136923741186 660198779 10120 .221.305.363.668 .142.292 289 .301 89 -89 +12 -31 +75 +198 16.7
/ 162G 650576 12722417 611857 92 .220.302.361.663 .141.292 289 .301 89 -8 +1 -3 +7 +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
202317 ROKDSL Mets Orange 9784 23801 10291 93 .274.358.405.763 .131.393 3010 .337 116 +2 +1 +3 0.5
202519 ROKDSL Mets Orange 6148 9301 10183 32 .188.361.312.673 .125.276 3016 .322 105 +0 -0 +2 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
Cristopher Larez (OGILVIE) 20 .202/.268/.294 .093.290 11 31% 7% 56 -0.1
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
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
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
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
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
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
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
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
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
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
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
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
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
Chun-Hsiu Chen
2010 · A
21 43→53 41→50 48→45 40 .209/.263/.306 .097.302 86 32% 7% 55 -1.4 .250/.309/.388 .138.334 124 27% 7% 96 +1.5 .256/.318/.393.137.34712428%8%99+1.3
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
Jose Paez
2014 · A
20 46 39→45 51→50 38 .218/.263/.312 .093.303 512 29% 5% 56 -1.3 .209/.259/.289 .080.322 410 34% 6% 50 -1.8 .195/.251/.252.057.32041138%6%32-0.6
Ceddanne Rafaela
2021 · A
20 41→50 42→55 52→55 41 .202/.253/.302 .099.256 1014 25% 5% 50 -1.7 .228/.267/.382 .154.289 1619 26% 4% 77 +0.1 .244/.283/.399.155.300172424%4%86+0.7
Maikel Franco
2012 · A
19 36→46 38→55 48→40 37 .180/.226/.261 .081.253 64 30% 5% 28 -3.2 .239/.273/.382 .143.277 163 20% 4% 80 +0.4 .263/.299/.434.171.29019217%4%100+1.6
Christopher Morel
2019 · A
20 38→46 41→60 46→50 45 .191/.255/.285 .094.243 913 25% 7% 47 -1.9 .204/.250/.320 .116.282 1111 31% 5% 53 -1.5 .224/.302/.431.208.280281030%9%102+1.8
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