Chandler Simpson

LF Tampa Bay Rays
Age 26 L/R 5'11" / 170 lbs MLB HR -6%H +4% Svc 1.814 · Ctrl thru 2031
Overview
MLB40-MANPre-ArbFA 2032
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202423AA/A+TB505.355/.411/.3971104102—.323/.361/.363
202524AAATB156.333/.373/.396019119—.354/.379/.429
202524MLBTB441.295/.326/.345044830.1
202625MLBTB612.306/.337/.356046890.4
2027PROJ26MLBTB556.287/.323/.342251860.7
2028PROJ92% MLB27MLBTB506.286/.322/.339146850.6
2029PROJ92% MLB28MLBTB496.284/.320/.334142830.4
Last 3 seasons WAR 0.5  ·  Next 3 projected WAR 1.7Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2031Service1.814First FA2032
2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Arb-1$2M2030Arb-2$2M2031Arb-3$2M
Skills · percentileStatcast 2025-2026
Speed90
xwOBA23
Avg EV10
Bat Spd10
Form.290/.317/.331 · rolling true talent (60d window) · proj .282/.316/.337
CompsTony Campana (age 26) · Juan Pierre (age 26) · Joey Gathright (age 26)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 7486vR 90
AVG/OBP/SLG.287 / .323 / .342
PA556
HR2
SB51
K%10
BB%5
BABIP316
ISO59
MLB%100%
Value2027 · WAR
BAT: -9.4 runs (wOBA-derived runs vs avg)-9BATRUN: +8.3 runs (SB/CS + UBR baserunning)+8RUNFLD: +3.9 runs (Defensive runs vs avg)+4FLDPOS: -6.0 runs (Positional adjustment)-6POSREP: +12.0 runs (Replacement-level credit)+12REPTotal WAR: +1.10+1.1WAR
0.00.81.61.10.60.40.10.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M ctrl surplus
Tools · Recent Form · Splits · ContractCON 60 / POW 30
Toolsscout grade · Statcast %ile · 2025-2026
CONTACT60
xAVG
800.275
POWER30
Avg EV
1084.0
Bat Spd
1064.7
EYE45
scouting grade only
SPEED60
Sprint
9029.4
Recent Formrolling true talent ⓘ
K%7%▲▲6% over 103 PA (60d) · proj 10%
BB%4%▼3% over 103 PA (60d) · proj 5%
ISO.041▼.020 over 99 AB (60d) · proj .054
HR/BB0.2%·0.0% over 93 BBE (60d) · proj 0.3%
BABIP.311·.312 over 93 BIP (60d) · proj .310
SLASH.290/.317/.331·proj .282/.316/.337
Platoon Splits2025-2026 · 553 PA
vs LHP
vs RHP
Edge
PA
146
407
—
wRC+
81
92
▶R
wOBA
287
304
▶R
ISO
015
061
▶▶R
BABIP
325
329
—
K%
8.2%
10.1%
◀◀L
BB%
4.1%
4.9%
▶▶R
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2025
Service   1.814 yrs.days
Team Control Through   2031
First FA Year   2032
YearStatusSalary Proj WAR Value Surplus
2027Pre-Arb$0.8M+1.1$9M+$8M
2028Pre-Arb$0.8M+0.6$2M+$2M
2029Arb-1$2M+0.4$1M+$0.0M (cut)
2030Arb-2$2M+0.1$0.3M+$0.0M (cut)
2031Arb-3$2M———
Totals $2M $12M +$10M

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)
202221 ROKFCL Rays — 3427 10300 640 80 370485481966 111417 1218 423 106 — — — — — —
202322 A+Bowling Green Hot Rods — 10689 29410 1690 133 326429393822 67362 815 374 90 — — — — — —
202322 ACharleston RiverDogs — 397354 101940 38352 8112 285358333691 48317 910 316 57 — — — — — —
202423 AAMontgomery Biscuits — 358322 1131311 29270 7312 351405407811 56377 88 361 113 — — — — — —
202423 A+Bowling Green Hot Rods — 147129 47100 15160 315 364428372800 8416 1110 363 74 — — — — — —
202524 MLBTampa Bay Rays — 441414 1221530 20430 4412 295326345671 51327 105 300 83 -9 +4 -6 +2 +10 0.1
202524 AAADurham Bulls — 156144 48330 9150 193 333373396768 62369 106 340 119 — — — — — —
202625 MLBTampa Bay Rays — 612571 1751660 26480 4614 306337356692 49331 84 305 89 -8 +4 +2 -7 +13 0.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 1053985 2973190 46910 9026 302332351683 50329 94 303 91 -11 +8 -4 -4 +23 1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202221 ROK MLEFCL Rays — 3429 8200 460 80 276364345708 69323 1812 325 106 — — — — — —
202322 A+ MLEBowling Green Hot Rods — 10696 27310 9120 133 281343333676 52320 118 301 90 — — — — — —
202322 A MLECharleston RiverDogs — 397367 87840 25482 8112 237289281570 44270 126 253 57 — — — — — —
202423 AA MLEMontgomery Biscuits — 358332 1121311 19330 7312 337373392765 54362 95 335 113 — — — — — —
202423 A+ MLEBowling Green Hot Rods — 147136 39100 9220 315 287331294625 7335 156 277 74 — — — — — —
202524 MLB MLETampa Bay Rays — 441416 1191430 20430 4412 286319334653 48327 105 292 83 -9 +4 -6 +2 +10 0.1
202524 AAA MLEDurham Bulls — 156147 52340 6170 193 354379429808 75387 114 344 119 — — — — — —
202625 MLB MLETampa Bay Rays — 612572 1721660 25480 4614 301330350680 49331 84 300 89 -8 +4 +2 -7 +13 0.4
202221 ROK MLEFCL Rays — 3429 8200 460 80 276364345708 69333 1812 325 106 — — — — — —
202221 ROK RAWFCL Rays — 3427 10300 640 80 370485481966 111417 1218 423 106 — — — — — —
202322 A MLE2 teams — 503463 1141150 34612 9415 246301292592 45284 127 263 64 — — — — — —
202322 A RAW2 teams — 503443 1301350 54442 9415 293373345718 52326 911 329 64 — — — — — —
202423 AA MLE2 teams — 505468 1511411 28550 10417 323361363724 41361 116 318 101 — — — — — —
202423 AA RAW2 teams — 505451 1601411 44430 10417 355411397808 42388 99 362 101 — — — — — —
202524 MLB MLE2 teams — 597563 1701760 26600 6315 302333353686 52336 104 305 93 -5 +7 -6 +2 +13 1.0
202524 MLB RAW2 teams — 597558 1701860 29580 6315 305338358696 54338 105 310 93 -5 +7 -6 +2 +13 1.0
202625 MLB MLETampa Bay Rays — 612572 1721660 25480 4614 301330350680 49325 84 300 89 -8 +4 +2 -7 +13 0.4
202625 MLB RAWTampa Bay Rays — 612571 1751660 26480 4614 306337356692 49331 84 305 89 -8 +4 +2 -7 +13 0.4
202221 ROK MLEFCL Rays — 3430 8200 460 80 267364333697 67323 1812 325 106 — — — — — —
202322 A MLE2 teams — 503462 1141150 34612 9415 247301292593 45281 127 263 64 — — — — — —
202423 AA MLE2 teams — 505472 1511411 28550 10417 320361360721 40354 116 318 101 — — — — — —
202524 MLB MLE2 teams — 597566 1701760 26600 6315 300333352684 51343 104 305 93 — — — — — —
202625 MLB MLETampa Bay Rays — 612582 1721660 25480 4614 296330344674 48331 84 300 89 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202423 AA MLE2 teams — 505472 1511411 28550 10417 320361360721 40354 116 318 101 — — — — — —
202524 MLB MLE2 teams — 597566 1701760 26600 6315 300333352684 51343 104 305 93 — — — — — —
202625 MLB MLETampa Bay Rays — 612582 1721660 25480 4614 296330344674 48331 84 300 89 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202726 MLB MLETB 100% 596561 1591652 29581 559 283319337656 54310 105 295 86 -10 +7 +4 -6 +13 1.1
▸ 2027 — real world (MLB)
202726 MLB CTXTB 100% 556523 1521552 27541 519 287323342665 54316 105 299 86 -9 +7 +4 -6 +12 0.7
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202827 MLB MLETB 92% 550517 1461541 27551 509 282318334652 52310 105 293 85 -10 +6 +4 -6 +12 0.6
202928 MLB MLETB 92% 539508 1421441 26550 458 280316329644 49309 105 290 83 -11 +6 +3 -6 +12 0.4
203029 MLB MLETB 92% 525495 1371341 25550 407 277312322634 45307 105 286 80 -13 +5 +2 -6 +11 0.1
203130 MLB MLETB 92% 510481 1311230 24550 336 273308313621 40305 115 281 76 -14 +4 +1 -5 +11 -0.3
202827 MLB CTXTB 92% 506475 1361341 25501 468 286322339661 52315 105 297 85 -9 +6 +4 -5 +11 0.6
202928 MLB CTXTB 92% 496469 1331341 24500 427 284320334653 49314 105 294 83 -10 +6 +3 -5 +11 0.4
203029 MLB CTXTB 92% 483457 1281240 23500 376 281317327644 45313 105 290 80 -12 +5 +2 -5 +10 0.1
203130 MLB CTXTB 92% 469444 1231130 22500 315 278312318631 40310 115 285 76 -13 +4 +1 -5 +10 -0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 30072830 81780242 1402911 24652 289322336658 47319 105 296 84 -55 +28 +5 -25 +65 1.9
/ 162G— A+C — 650612 1761750 30630 5311 288321332653 44318 105 296 84 -12 +6 +1 -5 +14 0.4
Career— MLE — 49314619 1319129376 2465044 534100 286322333656 48317 105 293 84 -69 +36 +10 -33 +81 2.6
/ 162G— MLE — 650609 1741751 32661 7013 286322335657 49317 105 293 84 -12 +6 +2 -6 +14 0.4

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 AAADurham Bulls · 156 PAwOBA .333 → .344 (+11)K% 9.6% → 10.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.62%÷1.057×1.200——10.91%
BB% (unintentional) /PA5.77%÷1.030×0.690—×1.0333.99%
HBP% /PA0.00%—×0.940—×1.0330.00%
Singles /BIP32.56%÷0.956×0.930×1.041×1.03334.07%
Doubles /BIP2.33%÷0.940×0.830×1.041×1.0332.21%
Triples /BIP2.33%÷0.900×0.970×1.041×1.0332.70%
Home runs /BIP0.00%÷1.380×0.700—×1.0330.00%

Factors used: league row International League. Park (home-season share, regressed): HR 176, 1B 91, 2B 88, 3B 80, K 111, BB 106 — 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 ×1.041.

Result: wOBA .333 → .344; ISO .062 → .070; BABIP .369 → .387. 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 AAMontgomery Biscuits · 358 PAwOBA .354 → .335 (−19)K% 7.5% → 9.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA7.54%÷0.999×1.220——9.21%
BB% (unintentional) /PA7.82%÷1.022×0.680—×1.0125.26%
HBP% /PA0.00%—×0.840—×1.0120.00%
Singles /BIP33.22%÷1.008×0.920×1.038×1.01231.84%
Doubles /BIP4.41%÷0.972×0.910×1.038×1.0124.33%
Triples /BIP0.34%÷1.115×0.880×1.038×1.0120.28%
Home runs /BIP0.34%÷0.958×0.800—×1.0120.29%

Factors used: league row SL. Park (home-season share, regressed): HR 92, 1B 102, 2B 94, 3B 123, K 100, BB 104 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.038.

Result: wOBA .354 → .335; ISO .056 → .055; BABIP .377 → .362. 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 A+Bowling Green Hot Rods · 147 PAwOBA .354 → .277 (−77)K% 10.9% → 14.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.88%÷0.956×1.310——14.91%
BB% (unintentional) /PA10.20%÷0.972×0.600—×0.9886.22%
HBP% /PA0.00%—×0.770—×0.9880.00%
Singles /BIP40.71%÷1.047×0.870×0.979×0.98832.72%
Doubles /BIP0.88%÷0.898×0.780×0.979×0.9880.74%
Triples /BIP0.00%÷1.150×0.850×0.979×0.9880.00%
Home runs /BIP0.00%÷1.015×0.880—×0.9880.00%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 103, 1B 109, 2B 80, 3B 130, K 91, BB 94 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.

Result: wOBA .354 → .277; ISO .008 → .007; BABIP .416 → .335. 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 ACharleston RiverDogs · 397 PAwOBA .309 → .253 (−55)K% 8.8% → 12.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA8.82%÷0.985×1.360——12.17%
BB% (unintentional) /PA9.57%÷1.035×0.690—×0.9906.31%
HBP% /PA0.50%—×0.780—×0.9900.39%
Singles /BIP27.59%÷1.071×0.920×0.999×0.99023.44%
Doubles /BIP2.82%÷0.964×0.830×0.999×0.9902.40%
Triples /BIP1.25%÷0.938×0.910×0.999×0.9901.20%
Home runs /BIP0.00%÷1.075×0.800—×0.9900.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 114, 2B 93, 3B 88, K 97, BB 107 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .309 → .253; ISO .048 → .044; BABIP .317 → .270. 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 A+Bowling Green Hot Rods · 106 PAwOBA .365 → .301 (−65)K% 8.5% → 11.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA8.49%÷0.950×1.310——11.71%
BB% (unintentional) /PA15.09%÷1.060×0.600—×0.9988.52%
HBP% /PA0.00%—×0.770—×0.9980.00%
Singles /BIP30.00%÷1.008×0.870×1.049×0.99827.12%
Doubles /BIP5.00%÷1.047×0.780×1.049×0.9983.90%
Triples /BIP1.25%÷1.103×0.850×1.049×0.9981.01%
Home runs /BIP0.00%÷1.066×0.880—×0.9980.00%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 113, 1B 102, 2B 109, 3B 121, K 90, BB 112 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.049.

Result: wOBA .365 → .301; ISO .067 → .056; BABIP .362 → .320. 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 ROKFCL Rays · 34 PAwOBA .425 → .325 (−100)K% 11.8% → 16.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.76%÷1.005×1.440——16.86%
BB% (unintentional) /PA17.65%÷0.956×0.620—×0.97511.16%
HBP% /PA0.00%—×0.720—×0.9750.00%
Singles /BIP30.43%÷1.023×0.820—×0.97523.78%
Doubles /BIP13.04%÷0.933×0.720—×0.9759.81%
Triples /BIP0.00%÷1.005×0.720—×0.9750.00%
Home runs /BIP0.00%÷0.902×0.780—×0.9750.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 105, 2B 87, 3B 101, K 101, BB 91 — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .425 → .325; ISO .111 → .089; BABIP .417 → .323. 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).