Colt EmersonSS Tacoma Rainiers
INJURED · Reassigned to Minors (RM)
Age 21 L/R 6'0" / 195 lbs AAA HR +3% Svc 0.0 · Ctrl thru 2034 peak 3.7 · 2032
wRC+†82
AVG/OBP/SLG.228 / .307 / .359
PA207
HR5
SB10
K%25
BB%8
MLB%40%
BAT: -4.2 runs (wOBA-derived runs vs avg)-4BATRUN: +1.0 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.2 runs (Defensive runs vs avg)+0FLDPOS: +2.2 runs (Positional adjustment)+2POSREP: +5.9 runs (Replacement-level credit)+6REPTotal WAR: +0.50+0.5WAR
Scouting · nowfuture
HIT
5261
PWR
4751
SPD
5049
FLD
4954
EYE
5058
trajectory · 10 yrs
3.5peak
2031

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2027
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
NTCDEF 10%
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2027
2027Pre-Arb$3M+2.0$16M+$13M
2028Pre-Arb$10M+2.6$22M+$12M
2029Arb-1$13M+3.1$27M+$14M
2030Arb-2$15M+3.4$31M+$16M
2031Arb-3$16M+3.6$33M+$17M
2032Ext / FA-deal$17M+3.7$35M+$18M
2033Ext / FA-deal$19M+3.5$34M+$15M
2034Ext / FA-deal$25M+3.2$32M+$7M
Totals $118M $232M +$114M

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
202318 A2 teams 11497 30802 12275 80 .309.412.454.866 .144.412 2411 .373 143 +6 +2 +0 +1 +3 1.2
202419 A3 teams 394341 751614 399311 232 .220.320.308.628 .088.287 2410 .281 73 -12 +4 +0 +4 +11 0.8
202520 A+3 teams 600533 12424413 4414515 145 .233.309.366.675 .133.290 247 .297 85 -10 +1 +0 +6 +17 1.5
▸ 2026 Season (actual · ROS · total)
202621 AAATacoma Rainiers 7365 14502 5252 62 .215.292.385.676 .169.316 347 .276 69 -3 +0 +0 +1 +2 0.1
ROS21 MLBSEA 134119 28613 11353 41 .235.316.378.694 .143.291 268 .301 89 -2 +0 +0 +1 +4 0.4
TOT21 MLBSEA 207184 421115 16605 103 .228.307.380.688 .152.308 298 .292 82 -4 +1 +0 +2 +6 0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 64%SEA 545483 11123213 4612711 164 .230.311.366.678 .137.284 238 .307 93 -4 +2 +1 +6 +15 2.0
202823 MLB 92%SEA 589520 12525316 5213312 164 .240.324.392.716 .152.286 239 .317 100 +0 +2 +1 +6 +17 2.6
202924 MLBSEA 618545 13226318 5613712 164 .242.326.400.726 .158.288 229 .324 106 +4 +2 +1 +7 +18 3.1
203025 MLBSEA 634558 13727319 5913912 154 .246.331.407.737 .161.290 229 .328 109 +7 +1 +1 +7 +18 3.4
203126 MLBSEA 642565 13927320 6014112 154 .246.331.411.742 .165.290 229 .331 111 +8 +1 +1 +7 +18 3.6
203227 MLBSEA 642564 13927320 6114212 143 .246.333.411.744 .165.291 2210 .331 111 +8 +2 +1 +7 +18 3.7
203328 MLBSEA 637559 13726320 6114212 133 .245.332.410.742 .165.290 2210 .330 111 +8 +1 +0 +7 +18 3.5
203429 MLBSEA 627549 13426319 6114112 112 .244.333.406.739 .162.290 2210 .328 109 +6 +1 -1 +7 +18 3.2
203530 MLBSEA 617540 12925218 6014112 102 .239.328.393.721 .154.289 2310 .325 107 +5 +1 -1 +7 +17 3.0
203631 MLBSEA 602528 12524217 5814011 81 .237.325.386.711 .150.288 2310 .322 104 +3 +1 -2 +6 +17 2.6
203732 MLBSEA 584512 12023216 5613911 70 .234.323.381.704 .146.287 2410 .317 101 +1 +1 -3 +6 +17 2.3
203833 MLBSEA 554486 11221215 5313610 60 .230.319.374.693 .144.286 2510 .312 97 -2 +1 -3 +6 +16 1.8
203934 MLBSEA 507445 10119213 481299 50 .227.315.366.681 .139.285 259 .306 92 -4 +1 -4 +5 +14 1.2
204035 MLBSEA 450397 8816211 421198 50 .222.309.355.664 .134.284 269 .299 87 -7 +1 -5 +5 +13 0.7
204136 MLBSEA 389343 721318 361077 40 .210.298.324.622 .114.282 289 .290 80 -9 +1 -6 +4 +11 0.2
204237 MLBSEA 324285 601116 30926 40 .211.299.319.618 .109.279 289 .281 73 -10 +1 -7 +3 +9 -0.3
204338 MLBSEA 254225 45814 23744 30 .200.286.298.583 .098.275 299 .271 65 -10 +1 -7 +3 +7 -0.7
▸ Career Totals (MLE all levels + projections)
Career 104579194 216342144275 9682479207 21739 .235.322.380.702 .145.291 249 .314 99 -14 +28 -33 +112 +296 39.7
/ 162G 650571 13426317 6015413 132 .235.321.380.701 .145.290 249 .314 99 -1 +2 -2 +7 +18 2.5

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
202318 AModesto Nuts 7963 19601 11144 40 .302.430.444.875 .143.375 1814 .396 161 +5 +1 +2 0.9
202318 ROKACL Mariners 3528 15401 661 40 .536.629.7861.414 .250.667 1717 .605 321 +9 +1 +1 1.1
202419 A+Everett AquaSox 139120 27502 15304 91 .225.331.317.648 .092.284 2211 .303 90 -2 +1 +4 0.4
202419 AModesto Nuts 193150 441212 35276 61 .293.445.427.872 .133.341 1418 .395 161 +13 +1 +5 2.0
202419 INTLPeoria Javelinas 6254 20900 6141 80 .370.443.537.980 .167.488 2310 .426 184 +6 +2 +2 0.9
202520 AAATacoma Rainiers 2722 8202 361 11 .364.462.7271.189 .364.400 2211 .488 232 +4 -0 +1 0.5
202520 AAArkansas Travelers 161142 401013 14314 70 .282.362.430.792 .148.339 199 .354 129 +5 +1 +5 1.1
202520 A+Everett AquaSox 412342 9616511 546810 64 .281.394.453.847 .173.316 1713 .375 145 +21 -0 +12 3.3

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
Colt Emerson (OGILVIE) 21 52→61 47→51 50→49 58 .228/.307/.359 .131.290 54 25% 8% 90 +0.4
J.P. Crawford
2016 · AA
21 52→58 41→45 48→50 53 .248/.314/.348 .100.291 813 17% 8% 88 +0.9 .222/.296/.324 .102.270 99 20% 9% 75 -0.0 .263/.355/.386.123.30711217%11%113+2.8
Vaughn Grissom
2023 · MLB
22 54→63 47→50 54→55 47 .269/.331/.403 .135.312 1519 19% 6% 110 +2.4 .261/.324/.385 .124.312 1215 19% 7% 102 +1.9 .252/.317/.372.120.303111320%7%93+0.9
Brian Goodwin
2013 · AA
22 46→52 47→60 48→50 48 .228/.298/.366 .138.291 1413 26% 8% 87 +0.8 .216/.287/.334 .118.296 1014 28% 8% 74 -0.1 .243/.309/.437.195.311231128%8%105+1.3
Gavin Lux
2020 · MLB
22 50→58 49→50 50 47 .250/.307/.403 .153.310 1612 25% 8% 99 +1.7 .249/.315/.391 .142.314 159 24% 9% 100 +1.7 .263/.338/.380.117.3348522%10%103+1.6
Alek Thomas
2022 · AAA
22 50→52 48→50 50 44 .246/.306/.398 .152.324 1312 27% 7% 98 +1.6 .240/.291/.381 .141.289 1411 21% 6% 87 +0.8 .235/.283/.368.133.274141119%6%78+0.1
Kolten Wong
2012 · A
21 51→60 45→50 48→55 48 .248/.300/.374 .126.278 1112 16% 6% 89 +0.9 .251/.296/.362 .111.291 918 17% 5% 84 +0.6 .270/.354/.410.140.305121615%9%112+2.0
Luis García Jr.
2022 · MLB
22 48→57 47→50 43→50 42 .243/.274/.376 .133.279 156 20% 4% 79 +0.3 .266/.301/.412 .146.307 159 18% 5% 99 +1.7 .270/.306/.407.137.308141317%5%97+1.4
Colby Rasmus
2008 · AA
21 43→53 52→60 54→50 45 .225/.291/.400 .174.276 2015 26% 7% 93 +1.3 .234/.302/.399 .165.280 2013 23% 8% 97 +1.5 .237/.305/.454.217.30928332%8%109+1.8
Omar Infante
2003 · MLB
21 53→63 46→55 45→50 49 .263/.314/.394 .131.295 148 17% 7% 100 +1.7 .242/.294/.363 .121.282 1112 18% 7% 83 +0.6 .299/.346/.396.097.3347512%7%110+1.5
Alejandro Kirk
2021 · MLB
22 52→59 46→50 50→40 55 .252/.325/.391 .138.283 125 16% 9% 104 +2.0 .262/.341/.401 .139.285 153 13% 10% 114 +2.7 .271/.356/.402.130.28815011%11%117+1.9
Colt Keith
2023 · A
21 49→53 46→55 53→45 45 .236/.300/.372 .137.327 138 31% 8% 89 +0.9 .251/.308/.410 .159.313 185 25% 7% 102 +1.8 .253/.314/.408.154.30718423%8%102+1.6
Domonic Brown
2010 · AA
22 50→55 46→55 52→55 46 .247/.303/.381 .133.304 1317 23% 7% 92 +1.2 .253/.313/.405 .152.311 1616 23% 8% 102 +1.9 .252/.317/.416.164.286191119%8%101+1.4
Jeremy Hermida
2007 · MLB
23 50→59 50→55 53→50 56 .250/.343/.413 .163.304 1714 23% 12% 118 +3.0 .264/.342/.431 .167.324 188 23% 10% 121 +3.2 .266/.345/.430.165.32319522%10%117+2.5
Esteban Quiroz
2013 · AAA
21 47→57 42→55 49→45 45 .228/.281/.337 .109.272 910 20% 6% 72 -0.2 .236/.300/.349 .113.282 98 19% 7% 82 +0.5 .283/.357/.422.139.31615715%9%125+2.2
Dilson Herrera
2015 · MLB
21 49→57 46→50 50 42 .244/.291/.378 .134.311 1312 26% 6% 86 +0.8 .244/.293/.379 .135.303 1412 24% 6% 88 +0.9 .235/.284/.368.133.287151023%6%77+0.1
Corey Patterson
2001 · MLB
21 45→55 53→55 47→60 46 .235/.305/.404 .169.290 2112 26% 8% 100 +1.7 .244/.288/.392 .148.296 1716 23% 5% 89 +0.9 .265/.306/.437.171.323182423%5%103+1.8
Eric Hosmer
2012 · MLB
22 56→64 50→55 50 48 .280/.327/.439 .160.318 1710 18% 7% 117 +2.9 .273/.328/.418 .145.307 1612 16% 8% 112 +2.6 .291/.358/.463.171.32722517%9%129+4.2
CJ Abrams
2022 · AA
21 51→53 43→55 56→60 43 .247/.296/.367 .120.312 821 23% 6% 85 +0.7 .247/.296/.379 .132.295 1329 20% 5% 89 +0.9 .248/.310/.428.179.287183520%6%104+2.1
Eddie Rosario
2014 · AA
22 51→55 48→60 46→50 42 .253/.292/.404 .151.309 149 23% 5% 93 +1.3 .245/.276/.389 .144.307 1310 24% 4% 82 +0.5 .277/.313/.475.198.29627717%5%116+2.8
Brett Baty
2022 · AA
22 52→57 48→55 46→45 44 .247/.313/.393 .146.352 158 32% 8% 99 +1.7 .251/.316/.415 .164.334 215 30% 8% 107 +2.2 .241/.310/.405.164.30623328%8%98+1.2