Dane Myers

CF Cincinnati Reds
Age 31 R/R 6'0" / 205 lbs MLB HR +16%BB +6% Svc 3.215 · Ctrl thru 2029
Overview
MLB40-MANArb-1FA 2030
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202428AAA/INTL2 orgs156.254/.359/.3964884—.211/.289/.303
202428MLBMIA108.263/.340/.442341260.4
202529MLBMIA333.235/.292/.326618820.2
202630MLBCIN334.257/.346/.3778101041.3
2027PROJ31MLBCIN229.249/.331/.37768990.7
2028PROJ82% MLB32MLBCIN173.244/.324/.36344940.1
Last 3 seasons WAR 1.9  ·  Next 2 projected WAR 0.8Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2029Service3.215First FA2030
2027Arb-1$1M2028Arb-2$1M2029Ext$3M
Skills · percentileStatcast 2024-2026
Speed63
Avg EV62
Bat Spd52
xwOBA50
Barrel%41
Form.248/.322/.387 · rolling true talent (60d window) · proj .247/.326/.369
CompsJon Berti (age 32) · Cameron Maybin (age 31) · Hernán Pérez (age 31)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 10499vR 86
AVG/OBP/SLG.249 / .331 / .377
PA229
HR6
SB8
K%24
BB%10
BABIP310
ISO129
MLB%100%
Value2027 · WAR
BAT: -0.2 runs (wOBA-derived runs vs avg)-0BATRUN: +1.4 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.5 runs (Defensive runs vs avg)+1FLDPOS: +0.8 runs (Positional adjustment)+1POSREP: +5.0 runs (Replacement-level credit)+5REPTotal WAR: +0.60+0.6WAR
0.00.51.00.60.127282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M ctrl surplus
Tools · Recent Form · Splits · ContractCON 50 / POW 50
Toolsscout grade · Statcast %ile · 2024-2026
CONTACT50
xAVG
380.242
POWER50
Barrel%
417.1
Avg EV
6289.9
Bat Spd
5271.6
EYE55
scouting grade only
SPEED60
Sprint
6328.0
Recent Formrolling true talent ⓘ
K%25%▼26% over 65 PA (60d) · proj 24%
BB%9%▼8% over 65 PA (60d) · proj 10%
ISO.139▲.183 over 60 AB (60d) · proj .122
HR/BB4.5%▲7.0% over 43 BBE (60d) · proj 3.6%
BABIP.310·.325 over 40 BIP (60d) · proj .309
SLASH.248/.322/.387·proj .247/.326/.369
Platoon Splits2024-2026 · 484 PA
vs LHP
vs RHP
Edge
PA
206
278
—
wRC+
121
64
◀◀L
wOBA
346
263
◀◀L
ISO
166
070
◀◀L
BABIP
331
300
◀L
K%
22.3%
27.0%
◀◀L
BB%
8.7%
7.6%
◀L
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Arb-1
MLB Debut   2023
Service   3.215 yrs.days
Team Control Through   2029
First FA Year   2030
YearStatusSalary Proj WAR Value Surplus
2027Arb-1$1M+0.6$2M+$1M
2028Arb-2$1M+0.1$0.4M+$0.0M (cut)
2029Extbeyond projection horizon · no WAR estimate
Totals $1M $3M +$1M

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)
202125 AAErie SeaWolves — 10497 27513 4271 01 278314443757 165353 264 328 76 — — — — — —
202125 A+West Michigan Whitecaps — 1512 4101 310 00 3334676671.133 333300 720 485 167 — — — — — —
202125 ALakeland Flying Tigers — 6045 14300 9204 50 311466378843 67519 3315 384 87 — — — — — —
202226 AAAToledo Mud Hens — 4643 11300 1152 11 256304326630 70393 332 288 43 — — — — — —
202226 AAErie SeaWolves — 442407 10918225 231187 204 268318506824 238315 275 356 80 — — — — — —
202327 MLBMiami Marlins — 7067 18301 2190 11 269290358648 90354 273 286 86 -1 -0 -1 +2 +2 0.2
202327 AAAJacksonville Jumbo Shrimp — 223192 65818 23435 62 339423516938 177396 1910 411 127 — — — — — —
202327 AAPensacola Blue Wahoos — 215182 53627 27375 141 291397462859 170331 1713 383 95 — — — — — —
202327 INTLGigantes del Cibao — 8979 21201 7162 92 266341329670 63317 188 307 94 — — — — — —
202428 MLBMiami Marlins — 10895 25613 8363 41 263340442782 179379 337 342 126 +3 +0 +0 -3 +2 0.4
202428 AAAJacksonville Jumbo Shrimp — 121105 26503 14342 40 248347381728 133338 2812 332 67 — — — — — —
202428 INTLGigantes del Cibao — 3529 8011 6110 41 276400448848 172412 3117 380 144 — — — — — —
202529 MLBMiami Marlins — 333307 721006 23772 185 235292326618 91293 237 281 82 -7 +2 -1 +1 +7 0.2
202529 AAAJacksonville Jumbo Shrimp — 1512 2000 340 00 167333167500 250 2720 260 17 — — — — — —
202630 MLBCincinnati Reds — 334292 751108 37823 100 257346377723 120328 2511 328 104 +2 +2 +1 +1 +7 1.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 845761 19030118 702148 337 250319363682 113321 258 308 94 -6 +4 -0 +2 +18 1.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202125 AA MLEErie SeaWolves — 10498 25512 3321 01 255284388672 133332 313 280 76 — — — — — —
202125 A+ MLEWest Michigan Whitecaps — 1513 4101 210 00 3084006151.015 308264 713 415 167 — — — — — —
202125 A MLELakeland Flying Tigers — 6048 11200 6284 50 229362271633 42451 4710 297 87 — — — — — —
202226 AAA MLEToledo Mud Hens — 4643 9200 1182 11 209261256517 47356 392 232 43 — — — — — —
202226 AA MLEErie SeaWolves — 442414 9314220 161457 204 225265413678 188282 334 287 80 — — — — — —
202327 MLB MLEMiami Marlins — 7067 18301 2190 11 269290358648 90354 273 295 86 -1 -0 -1 +2 +2 0.2
202327 AAA MLEJacksonville Jumbo Shrimp — 223199 62816 16505 62 312377452830 141372 227 356 127 — — — — — —
202327 AA MLEPensacola Blue Wahoos — 215192 48625 17465 141 250327380707 130296 218 308 95 — — — — — —
202428 MLB MLEMiami Marlins — 10895 26713 8363 41 274349463812 189379 337 355 126 +3 +0 +0 -3 +2 0.4
202428 AAA MLEJacksonville Jumbo Shrimp — 121109 23402 10412 40 211289303592 92314 348 267 67 — — — — — —
202529 MLB MLEMiami Marlins — 333307 741106 23772 185 241298336634 94293 237 289 82 -7 +2 -1 +1 +7 0.2
202529 AAA MLEJacksonville Jumbo Shrimp — 1513 2000 250 00 154267154421 217 3313 194 17 — — — — — —
202630 MLB MLECincinnati Reds — 334292 741107 37823 100 253343363706 110328 2511 322 104 +2 +2 +1 +1 +7 1.3
202125 AA MLE3 teams — 179159 40813 11615 51 252320371691 119378 346 297 87 — — — — — —
202125 AA RAW3 teams — 179154 45914 16485 51 292377442819 149390 279 360 87 — — — — — —
202226 AA MLE2 teams — 488457 10216220 171629 215 223265398663 175295 333 282 77 — — — — — —
202226 AA RAW2 teams — 488450 12021225 241339 215 267317489806 222322 275 350 77 — — — — — —
202327 AAA MLE4 teams — 597538 15120314 4113412 306 281345407752 126346 227 327 108 — — — — — —
202327 AAA RAW4 teams — 597520 15719317 5911512 306 302386448834 146355 1910 371 108 — — — — — —
202428 AAA MLE3 teams — 264237 571316 20895 122 241313380693 139354 348 308 95 — — — — — —
202428 AAA RAW3 teams — 264229 591127 28815 122 258351415766 157364 3111 343 95 — — — — — —
202529 MLB MLE2 teams — 348320 761106 25822 185 237297328625 91300 247 285 79 -9 +2 -1 +1 +8 0.1
202529 MLB RAW2 teams — 348319 741006 26812 185 232294320614 88292 237 280 79 -9 +2 -1 +1 +8 0.1
202630 MLB MLECincinnati Reds — 334292 741107 37823 100 253343363706 110327 2511 322 104 +2 +2 +1 +1 +7 1.3
202630 MLB RAWCincinnati Reds — 334292 751108 37823 100 257346377723 120328 2511 328 104 +2 +2 +1 +1 +7 1.3
202125 AA MLE3 teams — 179161 40813 11615 51 248320366686 118366 346 297 87 — — — — — —
202226 AA MLE2 teams — 488459 10216220 171629 215 222265397662 174289 333 282 77 — — — — — —
202327 AAA MLE4 teams — 597539 15120314 4113412 306 280345406751 126337 227 327 108 — — — — — —
202428 AAA MLE3 teams — 264237 571316 20895 122 241313380693 139345 348 308 95 — — — — — —
202529 MLB MLE2 teams — 348318 761106 25822 185 239297330627 91290 247 285 79 — — — — — —
202630 MLB MLECincinnati Reds — 334291 741107 37823 100 254343364708 110328 2511 322 104 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202428 AAA MLE3 teams — 264237 571316 20895 122 241313380693 139345 348 308 95 — — — — — —
202529 MLB MLE2 teams — 348318 761106 25822 185 239297330627 91290 247 285 79 — — — — — —
202630 MLB MLECincinnati Reds — 334291 741107 37823 100 254343364708 110328 2511 322 104 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202731 MLB MLECIN 100% 340301 751218 33813 123 247329369698 122309 2410 315 99 -0 +1 +1 +1 +7 0.6
▸ 2027 — real world (MLB)
202731 MLB CTXCIN 100% 229202 51806 23552 82 249331377708 128310 2410 319 99 -0 +1 +1 +1 +5 0.7
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202832 MLB MLECIN 82% 211187 45705 20512 51 241322356678 115305 249 307 94 -2 +1 -3 +1 +5 0.1
202832 MLB CTXCIN 82% 173152 37604 17422 41 244324363688 120306 2410 311 94 -1 +0 -2 +1 +4 0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 1018913 22736122 8725610 378 249321363683 114319 259 308 93 -7 +4 -3 +2 +22 1.9
/ 162G— A+C — 650583 14523114 561636 245 249321364685 115320 259 308 93 -4 +3 -2 +2 +14 1.2
Career— MLE — 26502392 59494766 19471640 10922 248315376692 128324 277 306 93 -8 +5 -3 +3 +28 2.7
/ 162G— MLE — 650587 14623216 4817610 275 249317376693 128325 277 306 93 -4 +3 -1 +2 +14 1.4

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.

2025 AAAJacksonville Jumbo Shrimp · 15 PAwOBA .255 → .194 (−61)K% 26.7% → 32.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.67%÷0.978×1.200——32.71%
BB% (unintentional) /PA20.00%÷1.027×0.690—×0.98213.19%
HBP% /PA0.00%—×0.940—×0.9820.00%
Singles /BIP25.00%÷1.051×0.930—×0.98221.72%
Doubles /BIP0.00%÷1.023×0.830—×0.9820.00%
Triples /BIP0.00%÷1.150×0.970—×0.9820.00%
Home runs /BIP0.00%÷0.903×0.700—×0.9820.00%

Factors used: league row International League. Park (home-season share, regressed): HR 81, 1B 110, 2B 105, 3B 130, K 96, BB 105 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average).

Result: wOBA .255 → .194; ISO .000 → .000; BABIP .250 → .217. 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 AAAJacksonville Jumbo Shrimp · 121 PAwOBA .324 → .267 (−57)K% 28.1% → 33.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.10%÷0.999×1.200——33.75%
BB% (unintentional) /PA11.57%÷1.005×0.690—×0.9927.88%
HBP% /PA1.65%—×0.940—×0.9921.54%
Singles /BIP25.35%÷1.016×0.930×1.050×0.99224.17%
Doubles /BIP7.04%÷0.970×0.830×1.050×0.9926.27%
Triples /BIP0.00%÷0.985×0.970×1.050×0.9920.00%
Home runs /BIP4.23%÷0.925×0.700—×0.9923.17%

Factors used: league row International League. Park (home-season share, regressed): HR 85, 1B 103, 2B 94, 3B 97, K 100, BB 101 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .324 → .267; ISO .133 → .103; BABIP .338 → .314. 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 AAAJacksonville Jumbo Shrimp · 223 PAwOBA .406 → .356 (−50)K% 19.3% → 22.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.28%÷1.040×1.200——22.24%
BB% (unintentional) /PA10.31%÷1.008×0.690—×1.0037.08%
HBP% /PA2.24%—×0.940—×1.0032.11%
Singles /BIP32.21%÷1.016×0.930×1.050×1.00331.04%
Doubles /BIP5.37%÷0.955×0.830×1.050×1.0034.91%
Triples /BIP0.67%÷1.039×0.970×1.050×1.0030.66%
Home runs /BIP5.37%÷1.031×0.700—×1.0033.66%

Factors used: league row International League. Park (home-season share, regressed): HR 106, 1B 103, 2B 91, 3B 108, K 108, BB 102 — 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 .406 → .356; ISO .177 → .137; BABIP .396 → .372. 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 AAPensacola Blue Wahoos · 215 PAwOBA .375 → .308 (−67)K% 17.2% → 21.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.21%÷0.990×1.220——21.20%
BB% (unintentional) /PA12.56%÷1.056×0.680—×0.9787.91%
HBP% /PA2.33%—×0.840—×0.9781.91%
Singles /BIP26.21%÷1.052×0.920×1.050×0.97823.54%
Doubles /BIP4.14%÷0.947×0.910×1.050×0.9784.09%
Triples /BIP1.38%÷1.097×0.880×1.050×0.9781.14%
Home runs /BIP4.83%÷1.091×0.800—×0.9783.46%

Factors used: league row SL. Park (home-season share, regressed): HR 118, 1B 110, 2B 89, 3B 119, K 98, BB 111 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .375 → .308; ISO .170 → .136; BABIP .331 → .296. 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 AAErie SeaWolves · 442 PAwOBA .348 → .287 (−62)K% 26.7% → 32.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.70%÷0.995×1.220——32.72%
BB% (unintentional) /PA5.20%÷0.992×0.700—×0.9883.63%
HBP% /PA1.58%—×0.850—×0.9881.33%
Singles /BIP22.15%÷1.042×0.970×1.012×0.98820.62%
Doubles /BIP6.23%÷1.042×0.860×1.012×0.9885.14%
Triples /BIP0.69%÷0.900×0.950×1.012×0.9880.73%
Home runs /BIP8.65%÷0.926×0.780—×0.9887.20%

Factors used: league row EL. Park (home-season share, regressed): HR 85, 1B 108, 2B 108, 3B 80, K 99, BB 98 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.

Result: wOBA .348 → .287; ISO .238 → .191; BABIP .315 → .282. 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 AAAToledo Mud Hens · 46 PAwOBA .281 → .232 (−48)K% 32.6% → 38.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA32.61%÷1.008×1.200——38.83%
BB% (unintentional) /PA2.17%÷0.964×0.690—×1.0181.58%
HBP% /PA4.35%—×0.940—×1.0184.16%
Singles /BIP28.57%÷1.015×0.930—×1.01826.64%
Doubles /BIP10.71%÷1.015×0.830—×1.0188.92%
Triples /BIP0.00%÷1.150×0.970—×1.0180.00%
Home runs /BIP0.00%÷1.026×0.700—×1.0180.00%

Factors used: league row International League. Park (home-season share, regressed): HR 105, 1B 103, 2B 103, 3B 130, K 102, BB 93 — 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).

Result: wOBA .281 → .232; ISO .070 → .053; BABIP .393 → .356. 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 AAErie SeaWolves · 104 PAwOBA .322 → .280 (−42)K% 26.0% → 30.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.96%÷1.026×1.220——30.86%
BB% (unintentional) /PA3.85%÷0.945×0.690—×0.9982.80%
HBP% /PA0.96%—×0.850—×0.9980.82%
Singles /BIP25.71%÷1.030×0.940×1.046×0.99824.50%
Doubles /BIP7.14%÷0.935×0.870×1.046×0.9986.93%
Triples /BIP1.43%÷1.150×0.920×1.046×0.9981.19%
Home runs /BIP4.29%÷1.055×0.780—×0.9983.16%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 106, 2B 87, 3B 130, K 105, BB 89 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.046.

Result: wOBA .322 → .280; ISO .165 → .132; BABIP .353 → .332. 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 ALakeland Flying Tigers · 60 PAwOBA .388 → .297 (−91)K% 33.3% → 45.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.33%÷0.988×1.360——45.90%
BB% (unintentional) /PA15.00%÷1.017×0.690—×0.9709.88%
HBP% /PA6.67%—×0.780—×0.9705.04%
Singles /BIP44.00%÷1.002×0.920—×0.97039.18%
Doubles /BIP12.00%÷0.992×0.830—×0.9709.74%
Triples /BIP0.00%÷1.016×0.910—×0.9700.00%
Home runs /BIP0.00%÷0.937×0.800—×0.9700.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 100, 2B 98, 3B 103, K 98, BB 103 — applied at half strength. Age: age 25 vs a level average of 22.0 → −3.0% on BB/HBP/hit rates (3.0 yr older than average).

Result: wOBA .388 → .297; ISO .067 → .051; BABIP .519 → .451. 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 — .