Lars NootbaarLF St. Louis Cardinals
INJURED · Injured 60-Day (D60)
Age 28 L/R 6'1" / 205 lbs MLB HR -7%K -4% Svc 4.442 · Ctrl thru 2027 peak 1.2 · 2027
wRC+†vL 87114vR 108
AVG/OBP/SLG.244 / .338 / .402
PA174
HR5
K%20
BB%12
xwOBA.317
Barrel%10.2%
MLB%100%
BAT: +2.7 runs (wOBA-derived runs vs avg)+3BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: -1.5 runs (Defensive runs vs avg)-2FLDPOS: -1.9 runs (Positional adjustment)-2POSREP: +4.9 runs (Replacement-level credit)+5REPTotal WAR: +0.40+0.4WAR
Scouting · nowfuture
HIT
5050
PWR
5555
SPD
5050
EYE
6260
trajectory · 10 yrs
1.8peak
2027
Barrel%
6310.2
xwOBA
570.317
Avg EV
8291.3
Whiff%
820.076
Chase%
850.248
Speed
4027.0
Bat Spd
7073.4

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-2
MLB Debut   2021
Service   4.442 yrs.days
Team Control Through   2027
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Arb-2$5M+0.4$2M+$0.0M (cut)
2027Arb-3$6M+1.2$10M+$4M
Totals $8M $11M +$4M

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
201921 A+3 teams 387354 76726 32730 44 .215.280.297.576 .082.254 198 .253 52 -21 -1 +0 -4 +11 -1.5
202123 AAA3 teams 347310 806314 30794 34 .258.331.432.764 .174.301 239 .331 111 +4 -1 +1 -4 +10 1.1
202224 MLB2 teams 424356 7920417 58942 61 .222.334.444.778 .222.245 2214 .330 111 +5 +1 +3 -5 +12 1.7
202325 MLB2 teams 519441 11625116 731011 111 .263.369.433.802 .170.306 1914 .349 125 +15 +2 +2 +2 +15 3.6
202426 MLB3 teams 459395 9219313 59961 73 .233.334.395.729 .162.273 2113 .320 103 +1 +0 -3 -5 +13 0.7
202527 MLBSt. Louis Cardinals 583509 12023114 641196 45 .236.328.367.696 .132.280 2011 .308 94 -4 -1 -4 -6 +17 0.1
▸ 2026 Season
202628 MLBSTL 174151 37715 20351 21 .245.337.404.741 .159.285 2011 .334 114 +3 +0 -2 -2 +5 0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202729 MLBSTL 569493 12124217 671154 72 .245.340.406.746 .160.284 2012 .332 112 +8 +1 -6 -6 +16 1.2
202830 MLBSTL 557482 11723216 661154 51 .243.339.398.737 .156.282 2112 .329 110 +6 +1 -7 -6 +16 1.0
202931 MLBSTL 542470 11222215 641143 30 .238.333.389.723 .151.281 2112 .325 107 +4 +1 -8 -6 +15 0.7
203032 MLBSTL 523453 10621114 621133 00 .234.330.377.708 .143.280 2212 .320 103 +2 +0 -8 -6 +15 0.3
203133 MLBSTL 493429 9919113 581093 00 .231.327.371.697 .140.278 2212 .315 99 -1 +0 -9 -5 +14 -0.0
203234 MLBSTL 446389 8817111 521032 00 .226.321.360.680 .134.276 2312 .308 94 -3 +0 -9 -5 +13 -0.4
203335 MLBSTL 391341 751419 45942 00 .220.314.346.660 .126.274 2412 .300 88 -5 +0 -9 -4 +11 -0.8
▸ Career Totals (MLE all levels + projections)
Career 64145573 131824725180 750136036 5222 .236.331.387.718 .150.279 2112 .319 102 +15 +2 -58 -61 +182 8.0
/ 162G 650565 13425318 761384 52 .237.332.388.720 .150.281 2112 .319 102 +1 +0 -6 -6 +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
201921 AASpringfield Cardinals 11093 25210 16220 11 .269.376.312.688 .043.347 2015 .320 103 +0 -0 +3 0.3
201921 A+Palm Beach Cardinals 155142 39302 13200 12 .275.335.338.674 .063.308 138 .309 94 -1 -1 +4 0.3
201921 APeoria Chiefs 122106 26415 16130 21 .245.344.443.788 .198.239 1113 .351 127 +4 +0 +3 0.7
202123 MLBSt. Louis Cardinals 124109 26315 13280 21 .239.320.422.742 .183.273 2310 .325 107 +1 +0 +1 -4 +4 0.2
202123 AAAMemphis Redbirds 136117 36216 17252 13 .308.404.496.900 .188.349 1812 .400 164 +10 -1 +4 1.3
202123 INTLGlendale Desert Dogs 8770 22615 14152 00 .314.442.6431.085 .329.333 1716 .460 210 +11 +0 +2 1.4
202224 MLBSt. Louis Cardinals 347290 6616314 51711 41 .228.345.448.793 .221.248 2015 .348 124 +10 +0 +3 -5 +10 1.9
202224 AAAMemphis Redbirds 7763 14404 10191 20 .222.338.476.814 .254.233 2513 .345 123 +2 +0 +2 0.5
202325 MLBSt. Louis Cardinals 503426 11123114 72991 111 .261.369.418.787 .157.307 2014 .353 128 +16 +2 +2 +2 +14 3.6
202325 AAAMemphis Redbirds 1615 7102 120 00 .467.500.9331.433 .467.455 126 .610 325 +4 +0 +0 0.5
202426 MLBSt. Louis Cardinals 405348 8518312 52791 73 .244.344.417.761 .172.281 2013 .338 117 +8 +0 -3 -5 +11 1.2
202426 AAAMemphis Redbirds 2017 3100 340 00 .176.300.235.535 .059.231 2015 .259 57 -1 +0 +1 -0.0
202426 AASpringfield Cardinals 3427 7102 790 00 .259.412.519.930 .259.312 2621 .410 172 +3 +0 +1 0.4
202527 MLBSt. Louis Cardinals 583509 11924113 641196 45 .234.326.361.688 .128.279 2011 .312 97 -2 -1 -4 -6 +17 0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career 19621682 40784958 2523969 2811 .242.344.406.750 .164.281 2013 .335 115 +32 +1 -1 -18 +56 7.2

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
Lars Nootbaar (OGILVIE) 28 50 55 50 60 .244/.338/.402 .158.285 52 20% 12% 114 +0.8
Bobby Kielty
2005 · MLB
28 49→53 50 48→45 62 .246/.354/.411 .165.280 177 18% 13% 121 +3.2 .249/.332/.393 .144.289 155 18% 10% 108 +2.3 .253/.329/.385.132.30013319%10%100+0.9
Ben Broussard
2005 · MLB
28 51→56 55→60 48→45 53 .260/.338/.455 .195.292 216 19% 9% 126 +3.5 .267/.326/.461 .194.306 225 20% 7% 123 +3.3 .270/.321/.455.185.30923320%6%113+1.8
Matt Joyce
2013 · MLB
28 51→56 54→60 48→50 56 .259/.347/.452 .193.304 219 22% 11% 129 +3.7 .244/.335/.410 .166.289 187 21% 12% 114 +2.7 .231/.347/.434.202.26125321%15%118+1.9
Ben Grieve
2005 · MLB
29 51→57 50→55 46→45 59 .251/.355/.413 .162.303 175 22% 13% 123 +3.3 .240/.323/.397 .157.292 174 23% 11% 105 +2.1 .226/.304/.379.153.27018023%10%89+0.6
Jake Fraley
2023 · MLB
28 47→46 53→55 51→55 56 .241/.340/.412 .171.300 2216 26% 12% 117 +2.9 .252/.329/.404 .152.299 1723 21% 10% 109 +2.4 .253/.327/.391.138.299152719%9%101+1.0
LaMonte Wade Jr.
2022 · MLB
28 45→54 53→55 48→45 53 .232/.318/.404 .172.266 209 22% 10% 105 +2.1 .241/.339/.409 .168.280 205 21% 12% 115 +2.8 .244/.359/.388.144.28717220%14%115+1.9
Michael Saunders
2015 · MLB
28 50→52 52→55 51→55 52 .252/.327/.427 .175.309 1815 24% 10% 115 +2.7 .239/.316/.405 .166.305 186 26% 10% 105 +2.1 .215/.287/.378.162.26819226%8%80+0.2
Brennan Boesch
2013 · MLB
28 51→55 49→55 46→50 47 .256/.312/.407 .151.297 178 20% 7% 103 +1.9 .245/.290/.397 .152.298 179 23% 6% 92 +1.2 .235/.271/.374.139.29316925%4%74-0.0
Larry Bigbie
2006 · MLB
28 54→56 47→50 48→50 50 .264/.325/.404 .140.319 1510 22% 8% 107 +2.2 .247/.309/.366 .119.318 119 24% 8% 91 +1.1 .251/.312/.354.103.3317725%8%86+0.3
Gregory Polanco
2020 · MLB
28 48→55 55→60 53→55 52 .246/.319/.438 .192.285 2212 22% 9% 114 +2.7 .221/.292/.402 .181.278 2316 28% 9% 94 +1.3 .201/.272/.373.171.249241929%8%73-0.1
Gaby Sanchez
2012 · MLB
28 51→54 51→55 49→45 56 .258/.335/.421 .162.279 195 15% 10% 116 +2.8 .245/.327/.397 .152.276 164 17% 10% 107 +2.2 .233/.317/.379.146.26615318%10%96+0.9
Alex Dickerson
2019 · MLB
29 51→54 51→55 50→45 48 .259/.316/.424 .165.283 188 16% 6% 109 +2.4 .262/.330/.452 .190.306 225 21% 8% 122 +3.3 .259/.331/.461.202.29824122%8%119+1.5
John Bowker
2011 · MLB
28 49→54 53→55 45 48 .252/.312/.430 .178.289 216 21% 7% 109 +2.4 .254/.297/.412 .158.298 185 21% 6% 98 +1.6 .237/.264/.364.127.28115222%3%67-0.4
Domonic Brown
2015 · MLB
27 50→55 50→55 47→55 49 .251/.304/.407 .156.281 188 18% 7% 99 +1.7 .227/.274/.337 .110.274 1110 21% 6% 68 -0.5 .230/.273/.367.138.27017222%5%75-0.0
Jason Kubel
2009 · MLB
27 52→57 53→60 50→40 51 .263/.323/.442 .179.293 205 18% 8% 116 +2.8 .273/.341/.475 .202.307 242 19% 9% 133 +4.0 .272/.342/.471.199.30825120%9%123+2.9
Mike Carp
2014 · MLB
28 50→55 53→55 43→40 47 .257/.320/.435 .178.316 215 25% 8% 114 +2.7 .221/.299/.348 .127.287 127 26% 9% 83 +0.6 .172/.277/.237.064.2302023%10%43-0.6
Andrew Benintendi
2022 · MLB
28 51→61 49→55 43→50 51 .256/.323/.412 .155.302 1610 21% 8% 108 +2.3 .270/.334/.392 .122.312 1110 16% 9% 108 +2.3 .262/.329/.376.114.30110916%9%98+1.5
Kole Calhoun
2015 · MLB
27 53→56 52→60 49→50 49 .268/.325/.443 .174.310 1810 20% 8% 118 +3.0 .262/.326/.427 .165.309 195 21% 8% 114 +2.7 .253/.328/.408.155.29918321%9%106+2.4
DJ Stewart
2022 · MLB
28 42→48 55→60 42→50 55 .224/.325/.407 .183.271 235 26% 12% 109 +2.4 .224/.328/.412 .188.280 256 28% 11% 112 +2.6 .212/.325/.401.189.25926628%12%104+0.9
David Murphy
2010 · MLB
28 52→60 50→55 49→50 50 .261/.319/.425 .164.300 1710 19% 8% 110 +2.4 .273/.338/.420 .147.309 1614 16% 9% 117 +2.9 .281/.349/.418.137.313141514%9%114+2.1