Dylan CarlsonLF Iowa Cubs
Age 27 S/L 6'1" / 200 lbs AAA BB +5%HR -4% Svc 5.390 · Ctrl thru 2026 peak 0.5 · 2027
wRC+†vL 5882vR 64
AVG/OBP/SLG.219 / .304 / .338
PA338
HR8
SB5
K%23
BB%9
MLB%10%
BAT: -7.0 runs (wOBA-derived runs vs avg)-7BATRUN: +1.2 runs (SB/CS + UBR baserunning)+1RUNFLD: -0.1 runs (Defensive runs vs avg)-0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +9.6 runs (Replacement-level credit)+10REPTotal WAR: +0.40+0.4WAR
Scouting · nowfuture
HIT
4040
PWR
4040
SPD
5050
EYE
5360
trajectory · 10 yrs
0.0peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-3
MLB Debut   2020
Service   5.390 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Arb-3$2M+0.4$2M+$0.0M (cut)
Totals $2M $2M +$0.0M

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
201617 ROKGCL Cardinals 201189 32822 10751 42 .169.215.265.480 .095.265 375 .214 22 -18 +0 +0 +1 +6 -1.2
201718 APeoria Chiefs 451398 801516 371409 66 .201.284.289.573 .088.290 318 .252 51 -25 -1 +0 +2 +13 -1.2
201819 A+2 teams 498443 9421310 421207 83 .212.291.341.632 .129.264 248 .282 74 -15 +0 +0 +2 +14 0.2
201920 AA2 teams 562507 11620619 401548 208 .229.295.404.700 .176.284 277 .306 92 -5 +1 +0 +2 +16 1.4
202021 MLBSt. Louis Cardinals 119110 23813 8350 11 .209.263.382.645 .173.274 297 .277 70 -4 -0 -0 +0 +3 -0.1
202122 MLBSt. Louis Cardinals 619542 14330420 5715211 21 .264.346.445.791 .181.325 259 .343 121 +14 +0 -4 -7 +18 2.1
202223 MLBSt. Louis Cardinals 488432 1033158 45947 52 .238.320.389.709 .150.284 199 .310 95 -3 +0 +1 +2 +14 1.4
202324 MLBSt. Louis Cardinals 255219 48915 26497 30 .219.321.338.659 .119.256 1910 .294 83 -5 +1 -1 +1 +7 0.3
202425 MLB2 teams 280247 51704 24776 21 .206.292.283.576 .077.278 289 .261 58 -13 +0 -8 -3 +8 -1.6
202526 MLB2 teams 367327 731219 36852 73 .223.304.349.653 .125.272 2310 .295 84 -7 +0 -3 -4 +10 -0.3
▸ 2026 Season (actual · ROS · total)
202627 AAAIowa Cubs 2221 4002 150 00 .190.227.476.703 .286.143 235 .268 63 -1 +0 -0 -0 +1 -0.1
ROS27 MLBCHC 316279 621017 30744 51 .222.307.341.647 .118.273 239 .294 83 -6 +1 +0 +1 +9 0.5
TOT27 MLBCHC 338300 661019 31794 51 .220.301.350.651 .130.266 239 .292 82 -7 +1 -0 +1 +10 0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202728 MLB 20%CHC 365322 711218 35865 51 .220.307.339.645 .118.272 2410 .293 82 -7 +1 -0 +1 +10 0.4
202829 MLB 33%CHC 370327 721218 35895 41 .220.305.336.642 .116.271 249 .290 80 -8 +0 -1 +1 +10 0.3
202930 MLB 43%CHC 373329 711118 36915 41 .216.303.328.631 .112.270 2410 .287 78 -9 +0 -2 +1 +11 0.1
203031 MLB 52%CHC 358316 671117 34885 20 .212.299.320.618 .108.268 259 .284 75 -10 +0 -3 +1 +10 -0.1
203132 MLB 64%CHC 339300 631017 32864 00 .210.295.320.615 .110.266 259 .278 71 -11 +0 -3 +1 +10 -0.4
203233 MLB 81%CHC 309273 57916 29804 00 .209.294.315.609 .106.264 269 .272 67 -12 +0 -4 +1 +9 -0.6
203334 MLBCHC 266236 47714 25713 00 .199.284.288.572 .089.262 279 .266 62 -12 +0 -5 +1 +8 -0.8
▸ Career Totals (MLE all levels + projections)
Career 65365796 127324332141 581164693 7831 .220.301.346.647 .126.279 259 .289 79 -154 +3 -34 +5 +185 0.6
/ 162G 650576 12624314 581649 83 .219.300.344.643 .125.278 259 .289 79 -15 +0 -3 +1 +18 0.1

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
201617 ROKGCL Cardinals 201183 461333 16521 42 .251.315.404.719 .153.333 268 .319 102 +1 +0 +6 0.6
201718 APeoria Chiefs 451383 921817 521169 66 .240.345.347.692 .107.323 2612 .315 99 -1 -1 +13 1.1
201819 A+Palm Beach Cardinals 441376 931939 52787 63 .247.349.386.735 .138.286 1812 .330 111 +5 +0 +12 1.8
201819 APeoria Chiefs 5747 11302 10100 20 .234.368.426.794 .191.257 1818 .358 132 +2 +0 +2 0.4
201920 AAAMemphis Redbirds 7972 26425 6181 21 .361.418.6811.098 .319.429 238 .472 219 +11 +0 +2 1.3
201920 AASpringfield Cardinals 483417 11724621 52987 187 .281.370.518.888 .237.315 2011 .384 152 +28 +1 +14 4.4
202021 MLBSt. Louis Cardinals 119110 22713 8350 11 .200.254.364.618 .164.260 297 .272 66 -5 -0 -0 +0 +3 -0.1
202122 MLBSt. Louis Cardinals 619542 14431418 5715211 21 .266.348.437.785 .172.332 259 .346 123 +16 +0 -4 -7 +18 2.3
202223 MLBSt. Louis Cardinals 488432 1023048 45947 52 .236.318.380.698 .144.281 199 .312 97 -2 +0 +1 +2 +14 1.5
202324 MLBSt. Louis Cardinals 255219 48815 26497 30 .219.321.333.655 .114.256 1910 .299 87 -4 +1 -1 +1 +7 0.4
202425 MLBTampa Bay Rays 265235 49703 22755 21 .209.290.277.567 .068.287 288 .262 59 -12 +0 -8 -3 +8 -1.6
202425 AAAMemphis Redbirds 1511 3001 321 00 .273.467.5451.012 .273.250 1320 .448 201 +2 +0 +0 0.2
202526 MLBBaltimore Orioles 241217 44916 21542 33 .203.279.336.616 .134.241 229 .278 71 -8 -1 -3 -4 +7 -0.9
202526 AAANorfolk Tides 126102 30404 23250 40 .294.424.451.875 .157.351 2018 .392 158 +8 +1 +4 1.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career 19871755 409921143 17945932 168 .233.315.372.687 .138.288 239 .308 94 -14 +0 -16 -10 +56 1.7

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
Dylan Carlson (OGILVIE) 27 40 40 50 60 .219/.304/.338 .119.273 85 23% 9% 83 +0.3
Taylor Walls
2023 · MLB
27 40→50 45 49→60 53 .200/.292/.323 .124.262 1215 27% 11% 73 -0.1 .201/.291/.319 .118.264 1025 26% 11% 72 -0.2 .198/.286/.304.106.25983325%11%64-0.4
Dan Nelson
2011 · AAA
27 46→49 44→45 46→50 48 .228/.288/.344 .117.276 1110 22% 8% 76 +0.1 .240/.295/.347 .107.291 107 20% 7% 79 +0.3 .253/.305/.346.092.3027218%7%81+0.2
Carlos Alvarez
2015 · AAA
27 47 43→45 47→45 51 .228/.295/.344 .116.273 109 20% 9% 79 +0.3 .236/.308/.333 .097.289 78 19% 8% 82 +0.5 .238/.311/.313.075.2974619%7%76+0.0
Danny Muno
2016 · MLB
27 47→51 42→45 44→50 51 .229/.308/.333 .104.288 1011 23% 9% 82 +0.5 .218/.296/.316 .098.300 710 27% 9% 72 -0.2 .206/.293/.297.091.2996830%10%64-0.4
Chris Snelling
2009 · MLB
27 44→39 41→45 46→40 51 .213/.311/.309 .097.279 97 25% 10% 79 +0.3 .234/.313/.349 .115.281 106 19% 9% 89 +0.9 .240/.319/.362.122.2829017%9%92+0.6
Jimmy Herron
2023 · AAA
27 43→45 48→45 53→55 48 .221/.296/.363 .142.269 1616 24% 8% 85 +0.7 .221/.293/.348 .127.275 1424 24% 8% 80 +0.4 .214/.285/.324.111.265132824%8%68-0.3
Skye Bolt
2021 · AAA
27 42→39 47→50 50 42 .209/.273/.350 .141.295 1513 33% 8% 72 -0.2 .232/.296/.375 .143.310 1613 29% 7% 88 +0.9 .234/.302/.369.135.310151228%8%86+0.3
Nick Maton
2023 · MLB
26 44→41 47→50 48→45 47 .217/.294/.358 .141.288 137 28% 9% 83 +0.6 .217/.305/.366 .149.274 175 26% 10% 90 +1.0 .205/.305/.354.149.25318326%11%84+0.3
Brandon Boggs
2010 · MLB
27 44→48 47→55 50 49 .215/.300/.358 .143.299 1410 31% 10% 85 +0.7 .212/.297/.336 .124.297 117 30% 10% 79 +0.3 .204/.292/.327.123.28211529%10%71-0.2
Nick Franklin
2018 · MLB
27 44→49 47→50 53→50 45 .222/.280/.362 .140.272 1514 24% 7% 78 +0.2 .215/.284/.337 .122.269 1213 23% 8% 73 -0.1 .173/.252/.275.102.2298827%9%42-1.2
Stuart Fairchild
2022 · MLB
26 44→43 48→50 49→55 45 .221/.291/.370 .149.279 1611 26% 7% 85 +0.7 .225/.303/.384 .159.299 1816 29% 7% 94 +1.3 .217/.301/.370.153.287172029%8%86+0.4
Manuel Bobadilla
2011 · AAA
27 49 43→45 44→45 49 .239/.306/.348 .108.291 106 21% 8% 85 +0.7 .230/.301/.328 .098.290 96 22% 8% 79 +0.3 .221/.304/.314.093.2889525%8%74-0.0
Chris Magruder
2004 · MLB
27 46 47→50 47→45 47 .232/.287/.375 .143.269 147 20% 6% 85 +0.7 .230/.296/.371 .141.276 138 21% 7% 87 +0.8 .209/.277/.333.124.2569721%6%62-0.2
Mike Papi
2019 · AAA
26 44→47 46→45 45 49 .220/.298/.347 .127.290 135 28% 9% 82 +0.5 .217/.284/.324 .107.302 97 29% 8% 69 -0.4 .167/.226/.209.042.2480030%6%12-0.7
Alfredo Amezaga
2005 · MLB
27 41→51 45→40 47→55 45 .209/.270/.332 .123.246 1313 21% 6% 66 -0.6 .255/.313/.352 .097.296 723 15% 7% 89 +0.9 .268/.330/.352.084.30632613%8%91+0.6
Riley Unroe
2022 · AAA
26 44→47 43→45 47→55 43 .217/.274/.330 .113.285 1111 27% 6% 66 -0.6 .218/.293/.338 .120.290 1221 27% 9% 77 +0.1 .221/.306/.342.121.297132628%10%80+0.2
Jermaine Clark
2004 · MLB
27 46→43 45 47→60 56 .224/.300/.346 .122.245 1214 14% 9% 82 +0.5 .215/.288/.320 .105.250 920 17% 8% 70 -0.3 .208/.277/.292.084.24973319%8%57-0.8
Nathan Panther
2008 · AA
27 44→43 45 44→45 48 .220/.289/.345 .125.271 128 23% 8% 77 +0.1 .229/.296/.356 .127.285 127 23% 8% 83 +0.6 .232/.299/.352.120.28611522%9%81+0.2
Carlos Moncrief
2016 · AAA
27 46→52 46→50 50 45 .231/.286/.365 .134.293 1411 26% 7% 81 +0.4 .225/.286/.340 .115.301 1111 27% 7% 75 -0.0 .228/.288/.334.106.31191128%7%70-0.1
Augie Ojeda
2002 · MLB
27 46 43→40 47→45 55 .220/.293/.333 .113.239 107 13% 9% 76 +0.0 .221/.292/.326 .105.239 108 12% 8% 73 -0.1 .249/.339/.324.075.2771410%10%86+0.3