Chris Newell

OF Tulsa Drillers
Age 26 L/L 6'2" / 200 lbs AA HR +8%BB -8% Svc 0.0 · Ctrl thru 2035
Overview
AAPROSPECTMiLBFA 2036
MLB%2%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202423AA/A+LAD526.200/.322/.417253148—.150/.241/.300
202524AALAD549.241/.350/.428202470—.199/.273/.347
202625AAA/AALAD465.217/.328/.436252559—.171/.255/.332
2027PROJMLE26MLBLAD3.186/.265/.3420071-0.0
2028PROJ27% MLB27MLBLAD60.188/.267/.3422272-0.1
Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2035Service0.0First FA2036
2027MiLB2028MiLB2029Ext$0.0M2030Ext$0.8M2031Ext$0.9M2032Ext$0.9M2033Ext$3M2034Ext$5M+1
Skills · percentileMiLB Statcast 2026 AAA
BB%85
Max EV80
Speed46
K%15
Chase%13
Z-Con%6
Career WAR0.0 WAR median (P10 -0.2 / P90 0.0, comp-based) · star 1% · didn't stick 98%
CompsKameron Misner (age 26) · Jordan Qsar (age 27) · Aaron Palensky (age 25)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†71
AVG/OBP/SLG.186 / .265 / .342
PA3
HR0
K%33
BB%9
BABIP269
ISO137
MLB%2%
Value2027 · WAR
BAT: -5.4 runs (wOBA-derived runs vs avg)-5BATRUN: +0.7 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.9 runs (Positional adjustment)-1POSREP: +3.4 runs (Replacement-level credit)+3REPTotal WAR: -0.10-0.1WAR
trajectory · projected WAR by year
-0.1-0.12728
Tools · ContractCON 35 / POW 55
Toolsscout grade
CONTACT35
scouting grade only
POWER55
scouting grade only
EYE60
scouting grade only
SPEED55
scouting grade only
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029Extbeyond projection horizon · no WAR estimate
2030Extbeyond projection horizon · no WAR estimate
2031Extbeyond projection horizon · no WAR estimate
2032Extbeyond projection horizon · no WAR estimate
2033Extbeyond projection horizon · no WAR estimate
2034Extbeyond projection horizon · no WAR estimate
2035Extbeyond projection horizon · no WAR estimate
Totals $0.0M $0.0M +$0.0M

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 ROKACL Dodgers — 4341 9301 1111 33 220256366622 146276 262 277 9 — — — — — —
202322 A+Great Lakes Loons — 184158 35917 24580 85 222324424748 203295 3213 330 63 — — — — — —
202322 ARancho Cucamonga Quakes — 188154 488214 32520 72 3124306621.092 351378 2817 461 126 — — — — — —
202423 AATulsa Drillers — 11399 16302 11371 70 162252253505 91226 3310 233 10 — — — — — —
202423 A+Great Lakes Loons — 413340 7215123 601407 246 212342465806 253271 3415 353 59 — — — — — —
202524 AATulsa Drillers — 549465 11223220 751683 240 241350428778 187325 3114 345 70 — — — — — —
202625 AAAOklahoma City Comets — 4740 12203 7150 31 300404575979 275409 3215 426 107 — — — — — —
202625 AATulsa Drillers — 418357 748122 551444 225 207320420740 213269 3413 330 54 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202221 ROK MLEACL Dodgers — 4341 6201 1161 33 146186268454 122213 372 182 9 — — — — — —
202322 A+ MLEGreat Lakes Loons — 184165 30716 17730 85 182258345604 164271 409 262 63 — — — — — —
202322 A MLERancho Cucamonga Quakes — 188163 406210 23730 72 245339491830 245359 3912 354 126 — — — — — —
202423 AA MLETulsa Drillers — 113102 13201 8471 70 127198176375 49208 427 183 10 — — — — — —
202423 A+ MLEGreat Lakes Loons — 413360 5611117 401807 246 156253333586 178224 4410 256 59 — — — — — —
202524 AA MLETulsa Drillers — 549493 9818217 472093 240 199273347619 148289 389 272 70 — — — — — —
202625 AAA MLEOklahoma City Comets — 4742 10202 5180 31 238319429748 190370 3811 327 107 — — — — — —
202625 AA MLETulsa Drillers — 418374 616117 381764 225 163248321568 158234 429 248 54 — — — — — —
202221 ROK MLEACL Dodgers — 4341 6201 1161 33 146186268454 122208 372 182 9 — — — — — —
202221 ROK RAWACL Dodgers — 4341 9301 1111 33 220256366622 146276 262 277 9 — — — — — —
202322 A MLE2 teams — 372328 7013315 401460 157 213299409707 195322 3911 308 95 — — — — — —
202322 A RAW2 teams — 372312 8317321 561100 157 266378542919 276335 3015 396 95 — — — — — —
202423 A+ MLE2 teams — 526462 7014118 482278 316 152243303546 152233 439 240 49 — — — — — —
202423 A+ RAW2 teams — 526439 8818125 711778 316 200322417739 216259 3413 327 49 — — — — — —
202524 AA MLETulsa Drillers — 549493 9818217 472093 240 199273347619 148297 389 272 70 — — — — — —
202524 AA RAWTulsa Drillers — 549465 11223220 751683 240 241350428778 187325 3114 345 70 — — — — — —
202625 AA MLE2 teams — 465416 718119 431944 256 171255332587 161254 429 256 59 — — — — — —
202625 AA RAW2 teams — 465397 8610125 621594 256 217328436764 219284 3413 340 59 — — — — — —
202221 ROK MLEACL Dodgers — 4341 6201 1161 33 146186268454 122213 372 182 9 — — — — — —
202322 A MLE2 teams — 372329 7013315 401460 157 213299407706 195315 3911 308 95 — — — — — —
202423 A+ MLE2 teams — 526465 7014118 482278 316 151243301544 151221 439 240 49 — — — — — —
202524 AA MLETulsa Drillers — 549494 9818217 472093 240 198273346619 148289 389 272 70 — — — — — —
202625 AA MLE2 teams — 465415 718119 431944 256 171255333587 161248 429 256 59 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202423 A+ MLE2 teams — 526465 7014118 482278 316 151243301544 151221 439 240 49 — — — — — —
202524 AA MLETulsa Drillers — 549494 9818217 472093 240 198273346619 148289 389 272 70 — — — — — —
202625 AA MLE2 teams — 465415 718119 431944 256 171255333587 161248 429 256 59 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202726 MLB MLELAD 2% 380340 6310113 341463 132 188266341607 153274 389 273 71 -13 +2 +0 -2 +8 -0.1
▸ 2027 — real world (MLB)
202726 MLB CTXLAD 2% 33 0000 010 00 186265342607 156269 330 272 71 -0 +0 +0 -0 +0 -0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202827 MLB MLELAD 27% 225201 39618 20852 81 190268342610 152275 389 274 72 -8 +1 +0 -1 +5 -0.3
202827 MLB CTXLAD 27% 6055 10202 5230 20 188267342609 154269 388 273 72 -2 +0 +0 -0 +1 -0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 6055 10202 5230 20 182250327577 145267 388 273 66 -2 +0 +0 -0 +1 -0.1
/ 162G— A+C — 650596 10922022 542490 220 183251331581 148268 388 273 66 -22 +4 +0 -4 +14 -0.8
Career— MLE — 23352080 37965883 21393619 11124 182264341605 159274 409 266 66 -13 +2 +0 -2 +8 -0.5
/ 162G— MLE — 650579 10518223 592615 317 181263339601 157272 409 266 66 -22 +3 +0 -4 +14 -0.9

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 AATulsa Drillers · 418 PAwOBA .322 → .248 (−74)K% 34.4% → 42.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA34.45%÷1.000×1.220——42.03%
BB% (unintentional) /PA12.92%÷1.000×0.700—×0.9989.02%
HBP% /PA0.96%—×0.870—×0.9980.83%
Singles /BIP20.19%÷1.000×0.920×0.981×0.99818.19%
Doubles /BIP3.76%÷1.000×0.840×0.981×0.9983.09%
Triples /BIP0.47%÷1.000×0.940×0.981×0.9980.43%
Home runs /BIP10.33%÷1.000×0.800—×0.9988.25%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.981.

Result: wOBA .322 → .248; ISO .213 → .162; BABIP .269 → .234. 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).

2026 AAAOklahoma City Comets · 47 PAwOBA .415 → .327 (−88)K% 31.9% → 38.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.91%÷1.000×1.200——38.30%
BB% (unintentional) /PA14.89%÷1.000×0.690—×1.03310.62%
HBP% /PA0.00%—×0.940—×1.0330.00%
Singles /BIP28.00%÷1.000×0.930—×1.03326.90%
Doubles /BIP8.00%÷1.000×0.830—×1.0336.86%
Triples /BIP0.00%÷1.000×0.970—×1.0330.00%
Home runs /BIP12.00%÷1.000×0.700—×1.0338.68%

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 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average).

Result: wOBA .415 → .327; ISO .275 → .197; BABIP .409 → .370. 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 AATulsa Drillers · 549 PAwOBA .338 → .272 (−65)K% 30.6% → 38.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA30.60%÷0.984×1.220——37.95%
BB% (unintentional) /PA12.93%÷1.061×0.700—×1.0128.63%
HBP% /PA0.55%—×0.870—×1.0120.48%
Singles /BIP22.56%÷0.968×0.920×0.968×1.01221.01%
Doubles /BIP7.74%÷1.014×0.840×0.968×1.0126.28%
Triples /BIP0.67%÷1.137×0.940×0.968×1.0120.55%
Home runs /BIP6.73%÷0.957×0.800—×1.0125.70%

Factors used: league row TL. Park (home-season share, regressed): HR 91, 1B 94, 2B 103, 3B 127, K 97, BB 112 — 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 ×0.968.

Result: wOBA .338 → .272; ISO .187 → .153; BABIP .325 → .289. 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+Great Lakes Loons · 413 PAwOBA .346 → .256 (−90)K% 33.9% → 43.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.90%÷0.990×1.270——43.49%
BB% (unintentional) /PA14.29%÷1.037×0.710—×0.9989.77%
HBP% /PA1.69%—×0.790—×0.9981.34%
Singles /BIP16.50%÷1.004×0.920×0.953×0.99814.38%
Doubles /BIP7.50%÷0.950×0.810×0.953×0.9986.08%
Triples /BIP0.50%÷0.948×0.850×0.953×0.9980.43%
Home runs /BIP11.50%÷1.036×0.800—×0.9988.86%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 107, 1B 101, 2B 90, 3B 90, K 98, BB 107 — 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 ×0.953.

Result: wOBA .346 → .256; ISO .253 → .185; BABIP .271 → .224. 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 AATulsa Drillers · 113 PAwOBA .232 → .183 (−49)K% 32.7% → 41.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA32.74%÷0.959×1.220——41.64%
BB% (unintentional) /PA9.73%÷1.048×0.700—×1.0276.68%
HBP% /PA0.88%—×0.870—×1.0270.79%
Singles /BIP17.74%÷1.042×0.920×1.038×1.02716.70%
Doubles /BIP4.84%÷1.003×0.840×1.038×1.0274.32%
Triples /BIP0.00%÷1.142×0.940×1.038×1.0270.00%
Home runs /BIP3.23%÷1.063×0.800—×1.0272.49%

Factors used: league row TL. Park (home-season share, regressed): HR 113, 1B 108, 2B 101, 3B 128, K 92, BB 110 — 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 ×1.038.

Result: wOBA .232 → .183; ISO .091 → .069; BABIP .226 → .208. 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 ARancho Cucamonga Quakes · 188 PAwOBA .454 → .354 (−99)K% 27.7% → 38.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.66%÷0.973×1.360——38.66%
BB% (unintentional) /PA17.02%÷0.976×0.690——12.03%
HBP% /PA0.00%—×0.780——0.00%
Singles /BIP23.53%÷0.955×0.920×1.050—23.80%
Doubles /BIP7.84%÷0.990×0.830×1.050—6.90%
Triples /BIP1.96%÷0.900×0.910×1.050—2.08%
Home runs /BIP13.73%÷1.025×0.800——10.72%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 91, 2B 98, 3B 80, K 95, 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 ×1.050.

Result: wOBA .454 → .354; ISO .351 → .260; BABIP .378 → .359. 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+Great Lakes Loons · 184 PAwOBA .325 → .262 (−64)K% 31.5% → 39.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.52%÷1.004×1.270——39.87%
BB% (unintentional) /PA13.04%÷0.992×0.710—×1.0129.45%
HBP% /PA0.00%—×0.790—×1.0120.00%
Singles /BIP18.00%÷0.975×0.920×1.028×1.01217.68%
Doubles /BIP9.00%÷1.011×0.810×1.028×1.0127.50%
Triples /BIP1.00%÷0.997×0.850×1.028×1.0120.89%
Home runs /BIP7.00%÷0.951×0.800—×1.0125.96%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 90, 1B 95, 2B 102, 3B 99, K 101, BB 98 — 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 ×1.028.

Result: wOBA .325 → .262; ISO .203 → .160; BABIP .295 → .271. 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 ROKACL Dodgers · 43 PAwOBA .269 → .182 (−87)K% 25.6% → 36.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.58%÷0.998×1.440——36.92%
BB% (unintentional) /PA2.33%÷0.973×0.620—×0.9851.46%
HBP% /PA2.33%—×0.720—×0.9851.65%
Singles /BIP16.67%÷1.029×0.820—×0.98513.08%
Doubles /BIP10.00%÷0.931×0.720—×0.9857.62%
Triples /BIP0.00%÷0.900×0.720—×0.9850.00%
Home runs /BIP3.33%÷0.912×0.780—×0.9852.81%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 106, 2B 86, 3B 80, K 100, BB 95 — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .269 → .182; ISO .146 → .101; BABIP .276 → .213. 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).