Christian Sáez1B DSL Cardinals
Age 19 L/R 6'2" / 185 lbs ROK HR -7%K -4% Svc 0.0 · Ctrl thru 2037 peak 1.6 · 2033
wRC+†61
AVG/OBP/SLG.202 / .272 / .308
PA54
HR1
K%32
BB%8
MLB%0%
BAT: -2.4 runs (wOBA-derived runs vs avg)-2BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -1.0 runs (Positional adjustment)-1POSREP: +1.5 runs (Replacement-level credit)+2REPTotal WAR: -0.20-0.2WAR
trajectory · 10 yrs
1.6peak
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+1.4$13M+$12M
2033Ext / FA-deal$1.0M+1.6$16M+$15M
2034Ext / FA-deal$1.0M+1.6$16M+$15M
2035Ext / FA-deal$3M+1.5$16M+$13M
2036Ext / FA-deal$4M+1.2$13M+$9M
2037Ext / FA-deal$4M+1.0$11M+$7M
Totals $14M $85M +$71M

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
202417 ROKDSL Cardinals 145128 14310 13643 21 .109.208.148.357 .039.215 449 .171 -11 -18 +0 +0 -3 +4 -1.7
202518 ROKDSL Cardinals 4742 5101 4280 00 .119.196.214.410 .095.286 609 .164 -16 -6 +0 +0 -1 +1 -0.6
▸ 2026 Season
202619 MLBSTL 5449 10201 4171 10 .204.278.306.584 .102.289 317 .265 61 -2 +0 +0 -1 +2 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202720 MLB 11%STL 144128 28513 13432 31 .219.301.344.644 .125.297 309 .292 82 -3 +0 +0 -3 +4 -0.1
202821 MLB 28%STL 289257 581028 27823 61 .226.307.374.680 .148.299 289 .308 94 -2 +1 +0 -5 +8 0.2
202922 MLB 48%STL 397350 8214312 391085 92 .234.320.394.714 .160.299 2710 .317 101 +0 +1 +0 -7 +11 0.6
203023 MLB 65%STL 470413 9817315 481256 112 .237.325.402.727 .165.299 2710 .323 105 +3 +1 +0 -8 +13 0.9
203124 MLB 82%STL 517452 10718317 541366 133 .237.326.403.729 .166.299 2610 .327 109 +5 +1 +0 -9 +15 1.2
203225 MLBSTL 546476 11420318 581437 133 .239.331.408.738 .168.300 2611 .330 111 +7 +1 +0 -10 +15 1.4
203326 MLBSTL 562489 11820419 611477 143 .241.334.415.749 .174.301 2611 .332 112 +8 +2 +0 -10 +16 1.6
203427 MLBSTL 567493 11820319 621497 142 .239.333.408.740 .168.301 2611 .332 112 +8 +2 +0 -10 +16 1.6
203528 MLBSTL 566492 11720319 621507 132 .238.332.407.738 .169.300 2711 .331 111 +7 +2 -1 -10 +16 1.5
203629 MLBSTL 558484 11519319 621497 112 .238.333.407.740 .169.299 2711 .329 110 +6 +1 -1 -10 +16 1.2
203730 MLBSTL 549476 11219318 611497 101 .235.331.401.732 .166.298 2711 .326 107 +5 +2 -2 -10 +16 1.0
203831 MLBSTL 536466 10818317 591476 70 .232.326.393.719 .161.296 2711 .322 105 +3 +1 -3 -10 +15 0.7
203932 MLBSTL 518450 10317316 571456 50 .229.324.387.710 .158.295 2811 .317 101 +1 +1 -4 -9 +15 0.4
204033 MLBSTL 489426 9516314 541406 30 .223.319.373.692 .150.293 2911 .312 97 -2 +1 -4 -9 +14 -0.0
204134 MLBSTL 442386 8414212 481315 10 .218.312.358.670 .140.292 3011 .305 92 -4 +0 -5 -8 +13 -0.4
▸ Career Totals (MLE all levels + projections)
Career 73966457 148625343228 786205391 13623 .230.322.389.711 .158.298 2811 .318 102 +14 +18 -20 -132 +210 9.2
/ 162G 650567 13122420 691808 122 .231.322.390.712 .159.300 2811 .318 102 +1 +2 -2 -12 +18 0.8

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
202417 ROKDSL Cardinals 145119 21511 22443 21 .176.319.261.580 .084.267 3015 .278 71 -5 +0 +4 -0.1
202518 ROKDSL Cardinals 4740 9111 6180 00 .225.326.375.701 .150.364 3813 .311 96 -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
Christian Sáez (OGILVIE) 19 .202/.272/.308 .106.289 11 32% 8% 61 -0.1
Rowdy Tellez
2014 · A
19 41→50 39→60 51→45 43 .199/.255/.290 .091.270 65 28% 6% 48 -1.9 .229/.281/.344 .115.286 124 23% 6% 73 -0.1 .249/.317/.464.215.28629124%8%114+1.6
Austin Meadows
2014 · A
19 45→55 43→65 49→55 43 .214/.282/.336 .122.308 106 32% 8% 72 -0.2 .242/.292/.362 .120.310 910 24% 6% 82 +0.5 .255/.336/.495.240.28930823%10%129+2.7
Josh Lowe
2017 · A
19 43→53 42→55 46→60 44 .201/.278/.303 .102.324 95 38% 10% 62 -0.9 .202/.260/.303 .101.318 914 37% 7% 53 -1.5 .255/.314/.435.180.350203131%8%108+1.9
Nomar Mazara
2014 · A
19 37→47 43→55 44→40 38 .186/.243/.298 .111.278 114 36% 6% 46 -2.0 .220/.278/.352 .132.287 153 28% 7% 75 -0.0 .249/.312/.421.172.29021322%8%99+1.5
Riley Greene
2021 · A
20 44→54 44→60 53→50 39 .215/.271/.330 .115.305 119 32% 6% 66 -0.6 .252/.315/.404 .152.357 1510 31% 8% 103 +1.9 .263/.332/.466.203.33825528%9%124+3.1
Max Kepler
2013 · A
20 44→54 42→60 53→50 44 .216/.275/.328 .112.278 96 25% 6% 67 -0.5 .222/.279/.348 .126.273 107 22% 7% 73 -0.1 .234/.319/.433.200.24824417%10%108+2.2
Oscar Taveras
2011 · A
19 44→54 42→55 49→45 42 .216/.260/.323 .108.269 89 23% 5% 58 -1.2 .270/.309/.419 .149.313 137 18% 5% 104 +2.0 .293/.330/.463.170.32616715%4%124+2.0
Heliot Ramos
2019 · A
19 41→51 43→55 47→50 33 .202/.246/.317 .115.301 118 36% 4% 52 -1.6 .215/.268/.348 .133.317 159 35% 6% 69 -0.4 .256/.322/.432.177.31922826%7%112+2.4
Nick Pratto
2018 · A
19 39→43 40→55 49→50 39 .190/.250/.289 .099.293 710 36% 7% 46 -2.0 .186/.234/.291 .105.304 1012 40% 6% 40 -2.4 .196/.288/.385.190.28124737%10%87+0.7
Tirso Ornelas
2019 · A
19 43→53 41→50 50→45 46 .210/.278/.308 .098.289 85 29% 8% 63 -0.9 .192/.256/.270 .078.279 55 30% 8% 43 -2.2 .245/.303/.373.128.30214723%7%87+0.8
Estevan Florial
2017 · A
19 41→51 44→55 52→60 39 .200/.260/.315 .115.307 1111 37% 7% 57 -1.2 .214/.270/.332 .118.357 1113 40% 7% 66 -0.6 .215/.284/.387.172.311202936%8%83+0.5
Jay Bruce
2006 · A
19 41→51 46→65 42→50 39 .207/.260/.334 .128.300 148 35% 6% 62 -0.9 .243/.289/.418 .175.322 189 29% 6% 96 +1.5 .253/.334/.464.210.30026724%10%115+2.9
Jesús Sánchez
2017 · A
19 48→53 43→60 50 39 .235/.267/.357 .122.293 106 23% 4% 69 -0.4 .243/.276/.369 .126.311 135 25% 4% 77 +0.1 .247/.314/.450.203.30625427%8%110+1.8
Lewin Díaz
2016 · A
19 39→46 43→60 49→30 45 .194/.264/.303 .109.256 104 28% 7% 56 -1.3 .213/.254/.336 .123.268 123 25% 5% 59 -1.1 .208/.257/.414.206.23328126%5%81+0.3
Oneil Cruz
2018 · A
19 41→51 41→60 45→55 35 .200/.243/.293 .093.310 89 37% 5% 43 -2.2 .217/.257/.339 .122.316 1210 34% 5% 62 -0.9 .241/.304/.442.201.317252231%8%103+1.7
Akil Baddoo
2018 · A
19 45→51 41→55 52→55 48 .216/.292/.327 .111.287 710 26% 9% 74 -0.1 .201/.275/.318 .117.293 813 31% 9% 64 -0.8 .232/.314/.375.143.300152426%11%91+0.8
Enmanuel Valdez
2019 · A
20 38→46 43→60 50→45 45 .191/.257/.305 .115.247 97 26% 7% 53 -1.5 .193/.246/.310 .117.260 127 30% 6% 50 -1.7 .224/.290/.404.180.26824826%8%90+0.8
Dylan Carlson
2018 · A
19 41→51 40→55 43→50 42 .199/.266/.292 .092.292 86 33% 7% 54 -1.4 .216/.284/.350 .134.284 149 28% 8% 77 +0.1 .242/.327/.396.154.29614422%9%105+1.6
Jazz Chisholm Jr.
2017 · A
19 42→51 43→60 49→60 34 .206/.248/.311 .105.320 1111 38% 5% 50 -1.7 .204/.255/.341 .137.318 1611 39% 6% 62 -0.9 .248/.322/.446.198.304273627%9%113+2.3
Carlos Jimenez
2022 · A
19 39→41 42→50 53→55 44 .191/.270/.293 .102.283 1011 34% 8% 56 -1.3 .199/.283/.318 .119.317 1115 37% 9% 69 -0.4 .216/.296/.349.133.314151933%9%78+0.1