Edouard Julien

2B Colorado Rockies
Age 28 L/R 6'1" / 195 lbs MLB HR +30%H +12% Svc 2.860S2 · Ctrl thru 2030
Overview
MLBArb-1FA 2031
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202425AAAMIN233.242/.395/.4097683—.206/.322/.327
202425MLBMIN301.199/.292/.3238678-0.1
202526AAAMIN299.276/.418/.464115101—.241/.343/.354
202526MLBMIN208.220/.311/.3243082-0.6
202627AAACOL99.262/.398/.3750192—.235/.337/.329
202627MLBCOL276.208/.322/.2923577-0.4
2027PROJ28MLBCOL291.235/.336/.37274940.1
2028PROJ65% MLB29MLBCOL232.232/.333/.3655292-0.1
2029PROJ65% MLB30MLBCOL224.228/.328/.3555288-0.3
Last 3 seasons WAR -1.1  ·  Next 3 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2030Service2.860First FA2031Super-2
2027Arb-1$0.3M2028Arb-2$0.3M2029Arb-3$0.4M2030Arb-4$1M
Skills · percentileStatcast 2024-2026
Barrel%59
xwOBA57
Avg EV51
Bat Spd48
Speed33
CompsMatt Thaiss (age 28) · Zack Collins (age 27) · Josh VanMeter (age 28)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 8794vR 96
AVG/OBP/SLG.235 / .336 / .372
PA291
HR7
K%27
BB%12
BABIP312
ISO139
MLB%100%
Value2027 · WAR
BAT: -2.0 runs (wOBA-derived runs vs avg)-2BATRUN: +0.5 runs (SB/CS + UBR baserunning)+1RUNFLD: -5.0 runs (Defensive runs vs avg)-5FLDPOS: +1.0 runs (Positional adjustment)+1POSREP: +6.3 runs (Replacement-level credit)+6REPTotal WAR: +0.20+0.2WAR
0.00.51.00.20.00.00.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit-$0M ctrl surplus
Tools · Splits · ContractCON 40 / POW 55
Toolsscout grade · Statcast %ile · 2024-2026
CONTACT40
xAVG
180.225
POWER55
Barrel%
599.6
Avg EV
5189.2
Bat Spd
4871.1
EYE60
scouting grade only
SPEED50
Sprint
3326.7
Platoon Splits2024-2026 · 576 PA
vs LHP
vs RHP
Edge
PA
78
498
—
wRC+
94
83
◀L
wOBA
307
291
◀L
ISO
159
109
◀◀L
BABIP
329
310
◀L
K%
35.9%
30.7%
▶R
BB%
7.7%
11.4%
▶▶R
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Pre-Arb SUPER-2
MLB Debut   2023
Service   2.860 yrs.days
Team Control Through   2030
First FA Year   2031
YearStatusSalary Proj WAR Value Surplus
2027Arb-1$0.3M+0.2$0.8M+$0.5M
2028Arb-2$0.3M———
2029Arb-3$0.4M———
2030Arb-4$1M———
Totals $0.3M $-2M +$0.5M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.
basis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral
Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

YearAge LvlTeam MLB% PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
202122 A+Cedar Rapids Kernels — 310247 6116015 60902 133 247398494892 247322 2919 394 88 — — — — — —
202122 AFort Myers Mighty Mussels — 204147 441213 50546 212 299493456948 156451 2625 431 109 — — — — — —
202223 AAWichita Wind Surge — 508400 12019317 981256 197 300444490934 190393 2519 415 118 — — — — — —
202223 INTLGlendale Desert Dogs — 9670 28505 23223 60 4005626861.248 286535 2324 535 248 — — — — — —
202324 MLBMinnesota Twins — 408338 8916116 641282 30 263384459842 195371 3116 373 138 +19 +1 -0 +2 +9 3.0
202324 AAASt. Paul Saints — 170133 391205 32423 30 293440496937 203386 2519 413 113 — — — — — —
202425 MLBMinnesota Twins — 301266 53908 331022 60 199292323616 124288 3411 283 78 -8 +1 -3 +2 +7 -0.1
202425 AAASt. Paul Saints — 233186 45817 46731 60 242395409803 167358 3120 367 83 — — — — — —
202526 MLBMinnesota Twins — 208182 401003 22612 03 220311324635 104311 2911 290 82 -4 -1 -7 +2 +5 -0.6
202526 AAASt. Paul Saints — 299239 668211 53825 51 276418464882 188372 2718 394 101 — — — — — —
202627 MLBColorado Rockies — 276236 49913 39711 53 208322292615 85284 2614 290 77 -7 -0 -4 +1 +6 -0.4
202627 AAAAlbuquerque Isotopes — 9980 21900 16202 13 263398375773 112344 2016 354 92 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 11931022 23144230 1583627 146 226334361695 135317 3013 317 100 +1 +0 -14 +7 +26 2.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202122 A+ MLECedar Rapids Kernels — 310266 4912013 411222 133 184298376674 192277 3913 298 88 — — — — — —
202122 A MLEFort Myers Mighty Mussels — 204162 371013 35756 212 228384358742 130385 3717 330 109 — — — — — —
202223 AA MLEWichita Wind Surge — 508428 11017314 701596 197 257369409778 152361 3114 342 118 — — — — — —
202324 MLB MLEMinnesota Twins — 408338 8916116 641282 30 263384459842 195371 3116 373 138 +19 +1 -0 +2 +9 3.0
202324 AAA MLESt. Paul Saints — 170144 36804 21523 30 250357389746 139353 3112 335 113 — — — — — —
202425 MLB MLEMinnesota Twins — 301266 53908 331022 60 199292323616 124288 3411 283 78 -8 +1 -3 +2 +7 -0.1
202425 AAA MLESt. Paul Saints — 233199 41715 33881 60 206322327649 121336 3814 291 83 — — — — — —
202526 MLB MLEMinnesota Twins — 208182 401003 22612 03 220311324635 104311 2911 290 82 -4 -1 -7 +2 +5 -0.6
202526 AAA MLESt. Paul Saints — 299257 62726 351005 51 241343354698 113361 3312 318 101 — — — — — —
202627 MLB MLEColorado Rockies — 276236 48913 39711 53 203319288607 85284 2614 283 77 -7 -0 -4 +1 +6 -0.4
202627 AAA MLEAlbuquerque Isotopes — 9985 20800 11242 13 235337329666 94322 2411 304 92 — — — — — —
202122 A+ MLE2 teams — 514428 8623115 761988 345 201332364697 164327 3915 311 96 — — — — — —
202122 A+ RAW2 teams — 514394 10528118 1101448 345 266436480915 213372 2821 409 96 — — — — — —
202223 AA MLE2 teams — 604508 13020317 831899 257 256370407777 152369 3114 342 118 — — — — — —
202223 AA RAW2 teams — 604470 14824322 1211479 257 315463519982 204413 2420 434 118 — — — — — —
202324 MLB MLE2 teams — 578482 12524120 851805 60 259376438814 178366 3115 362 131 +21 +1 -0 +2 +13 3.7
202324 MLB RAW2 teams — 578471 12828121 961705 60 272400469870 197375 2917 385 131 +21 +1 -0 +2 +13 3.7
202425 MLB MLE2 teams — 534465 9416113 661903 120 202305325630 123309 3612 286 80 -13 +2 -3 +2 +12 0.1
202425 MLB RAW2 teams — 534452 9817115 791753 120 217337358695 142317 3315 320 80 -13 +2 -3 +2 +12 0.1
202526 AAA MLE2 teams — 507439 1021729 571617 54 232330342672 109342 3211 306 94 — — — — — —
202526 AAA RAW2 teams — 507421 10618214 751437 54 252374404778 152345 2815 351 94 — — — — — —
202627 MLB MLE2 teams — 375321 681713 50953 66 212324299623 87290 2513 288 81 -8 -1 -4 +1 +8 -0.4
202627 MLB RAW2 teams — 375316 701813 55913 66 222342313656 92300 2415 307 81 -8 -1 -4 +1 +8 -0.4
202122 A+ MLE2 teams — 514425 8623115 761988 345 202332367699 165320 3915 311 96 — — — — — —
202223 AA MLE2 teams — 604507 13020317 831899 257 256370408778 152361 3114 342 118 — — — — — —
202324 MLB MLE2 teams — 578483 12524120 851805 60 259376437813 178365 3115 362 131 — — — — — —
202425 MLB MLE2 teams — 534460 9416113 661903 120 204305328634 124309 3612 286 80 — — — — — —
202526 AAA MLE2 teams — 507438 1021729 571617 54 233330342672 110340 3211 306 94 — — — — — —
202627 MLB MLE2 teams — 375319 681713 50953 66 213324301624 88294 2513 288 81 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202425 MLB MLE2 teams — 534460 9416113 661903 120 204305328634 124309 3612 286 80 — — — — — —
202526 AAA MLE2 teams — 507438 1021729 571617 54 233330342672 110340 3211 306 94 — — — — — —
202627 MLB MLE2 teams — 375319 681713 50953 66 213324301624 88294 2513 288 81 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202728 MLB MLECOL 100% 460397 891919 561244 72 224326348674 124299 2712 307 94 -3 +1 -8 +2 +10 0.2
▸ 2027 — real world (MLB)
202728 MLB CTXCOL 100% 291251 591217 35783 41 235336372708 137312 2712 320 94 -2 +0 -5 +1 +6 0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202829 MLB MLECOL 65% 357308 681417 43973 41 222323341665 120297 2712 304 92 -4 +0 -8 +1 +8 -0.2
202930 MLB MLECOL 65% 344297 651416 41953 21 218319333652 114294 2812 299 88 -5 +0 -8 +1 +7 -0.4
203031 MLB MLECOL 65% 324279 601216 39913 01 213314322636 108291 2812 292 84 -6 -0 -8 +1 +7 -0.7
202829 MLB CTXCOL 65% 232200 471015 28632 21 232333365697 132310 2712 316 92 -2 +0 -5 +1 +5 -0.1
202930 MLB CTXCOL 65% 224193 45915 27622 21 228328355683 126307 2812 310 88 -3 +0 -5 +1 +5 -0.3
203031 MLB CTXCOL 65% 211182 40804 25592 00 223323342665 119302 2812 303 84 -4 +0 -5 +1 +5 -0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 18601597 36371444 23854613 188 227332359692 132315 2913 314 98 -9 +0 -29 +10 +40 1.3
/ 162G— A+C — 650558 12625115 831915 63 226331355686 129314 2913 314 98 -3 +0 -10 +3 +14 0.4
Career— MLE — 44283778 85516913102 575137447 9826 226336359695 133324 3113 313 98 -16 +1 -42 +12 +54 0.9
/ 162G— MLE — 650555 12625215 842027 144 227336360696 133326 3113 313 98 -4 +0 -11 +3 +14 0.2

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAAAlbuquerque Isotopes · 99 PAwOBA .349 → .304 (−45)K% 20.2% → 24.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.20%÷1.000×1.200——24.24%
BB% (unintentional) /PA16.16%÷1.000×0.690—×1.00311.18%
HBP% /PA2.02%—×0.940—×1.0031.90%
Singles /BIP20.00%÷1.000×0.930×1.050×1.00319.59%
Doubles /BIP15.00%÷1.000×0.830×1.050×1.00313.11%
Triples /BIP0.00%÷1.000×0.970×1.050×1.0030.00%
Home runs /BIP0.00%÷1.000×0.700—×1.0030.00%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .349 → .304; ISO .113 → .102; BABIP .344 → .322. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 AAASt. Paul Saints · 299 PAwOBA .385 → .318 (−67)K% 27.4% → 33.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.42%÷0.989×1.200——33.27%
BB% (unintentional) /PA17.06%÷1.022×0.690—×1.01811.72%
HBP% /PA1.67%—×0.940—×1.0181.60%
Singles /BIP28.66%÷0.944×0.930×1.016×1.01829.19%
Doubles /BIP5.10%÷0.938×0.830×1.016×1.0184.66%
Triples /BIP1.27%÷1.000×0.970×1.016×1.0181.28%
Home runs /BIP7.01%÷1.253×0.700—×1.0183.99%

Factors used: league row International League. Park (home-season share, regressed): HR 151, 1B 89, 2B 88, 3B 100, K 98, BB 104 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .385 → .318; ISO .188 → .128; BABIP .372 → .361. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 AAASt. Paul Saints · 233 PAwOBA .357 → .291 (−66)K% 31.3% → 37.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.33%÷0.995×1.200——37.78%
BB% (unintentional) /PA19.31%÷0.985×0.690—×1.03313.98%
HBP% /PA0.43%—×0.940—×1.0330.42%
Singles /BIP25.66%÷1.010×0.930×1.025×1.03325.03%
Doubles /BIP7.08%÷0.996×0.830×1.025×1.0336.25%
Triples /BIP0.88%÷1.043×0.970×1.025×1.0330.87%
Home runs /BIP6.19%÷1.039×0.700—×1.0334.31%

Factors used: league row International League. Park (home-season share, regressed): HR 108, 1B 102, 2B 99, 3B 109, K 99, BB 97 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .357 → .291; ISO .167 → .125; BABIP .358 → .336. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AAASt. Paul Saints · 170 PAwOBA .406 → .335 (−71)K% 24.7% → 30.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.71%÷0.973×1.200——30.46%
BB% (unintentional) /PA18.24%÷1.067×0.690—×1.04812.36%
HBP% /PA1.76%—×0.940—×1.0481.74%
Singles /BIP24.18%÷0.964×0.930×1.050×1.04825.66%
Doubles /BIP13.19%÷1.341×0.830×1.050×1.0488.98%
Triples /BIP0.00%÷0.977×0.970×1.050×1.0480.00%
Home runs /BIP5.49%÷1.009×0.700—×1.0484.00%

Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 93, 2B 168, 3B 95, K 95, BB 113 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .406 → .335; ISO .203 → .149; BABIP .386 → .353. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 AAWichita Wind Surge · 508 PAwOBA .407 → .342 (−65)K% 24.6% → 31.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.61%÷0.958×1.220——31.35%
BB% (unintentional) /PA19.09%÷0.991×0.700—×1.02713.85%
HBP% /PA1.18%—×0.870—×1.0271.06%
Singles /BIP29.45%÷1.018×0.920×1.017×1.02727.81%
Doubles /BIP6.91%÷1.001×0.840×1.017×1.0276.05%
Triples /BIP1.09%÷1.150×0.940×1.017×1.0270.93%
Home runs /BIP6.18%÷0.985×0.800—×1.0275.16%

Factors used: league row TL. Park (home-season share, regressed): HR 97, 1B 104, 2B 100, 3B 130, K 92, BB 98 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .407 → .342; ISO .190 → .160; BABIP .393 → .361. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 A+Cedar Rapids Kernels · 310 PAwOBA .385 → .298 (−87)K% 29.0% → 39.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.03%÷0.992×1.350——39.51%
BB% (unintentional) /PA19.03%÷1.026×0.710—×1.01213.32%
HBP% /PA0.65%—×0.810—×1.0120.53%
Singles /BIP19.11%÷1.012×0.910×0.974×1.01216.93%
Doubles /BIP10.19%÷0.976×0.830×0.974×1.0128.54%
Triples /BIP0.00%÷0.900×0.820×0.974×1.0120.00%
Home runs /BIP9.55%÷0.920×0.830—×1.0128.73%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 84, 1B 102, 2B 95, 3B 80, K 98, BB 105 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.974.

Result: wOBA .385 → .298; ISO .247 → .203; BABIP .322 → .277. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 AFort Myers Mighty Mussels · 204 PAwOBA .422 → .330 (−92)K% 26.5% → 36.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.47%÷0.979×1.360——36.76%
BB% (unintentional) /PA24.02%÷0.976×0.690——16.98%
HBP% /PA2.94%—×0.780——2.29%
Singles /BIP30.11%÷1.066×0.920×0.975—25.33%
Doubles /BIP12.90%÷0.909×0.830×0.975—11.48%
Triples /BIP1.08%÷0.937×0.910×0.975—1.02%
Home runs /BIP3.23%÷0.908×0.800——2.84%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 113, 2B 82, 3B 87, K 96, BB 95 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .422 → .330; ISO .156 → .135; BABIP .451 → .385. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .