Kai Murphy

OF San Antonio Missions
Age 26 L/L 5'8" / 173 lbs AA HR +5% Svc 0.0 · Ctrl thru 2035
Overview
AAPROSPECTMiLBFA 2036
MLB%2%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202423A+SD482.235/.343/.35361056—.196/.274/.287
202524AASD379.219/.325/.2621853—.211/.291/.249
202625AA/INTL2 orgs201.212/.288/.2913937—.178/.236/.231
2027PROJMLE26MLBSD2.201/.271/.2660056-0.0
2028PROJ27% MLB27MLBSD36.202/.272/.2700158-0.1
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 AA
K%74
Whiff%66
Z-Con%46
Speed38
BB%22
Chase%21
Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%
CompsIan Parmley (age 26) · Kyle Kasser (age 26) · Evan Marzilli (age 26)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†56
AVG/OBP/SLG.201 / .271 / .266
PA2
HR0
K%23
BB%7
BABIP261
ISO67
MLB%2%
Value2027 · WAR
BAT: -5.1 runs (wOBA-derived runs vs avg)-5BATRUN: +0.0 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.6 runs (Positional adjustment)-1POSREP: +2.1 runs (Replacement-level credit)+2REPTotal WAR: -0.30-0.3WAR
trajectory · projected WAR by year
-0.3-0.12728
Tools · ContractCON 40 / POW 25
Toolsscout grade
CONTACT40
scouting grade only
POWER25
scouting grade only
EYE50
scouting grade only
SPEED45
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 ALake Elsinore Storm — 3330 6200 340 30 200273267539 67231 129 251 16 — — — — — —
202221 ROKACL Padres — 1714 5100 350 00 357471429899 71556 2918 412 67 — — — — — —
202322 A+Fort Wayne TinCaps — 10393 19401 6291 10 204260280540 75277 286 241 22 — — — — — —
202322 ALake Elsinore Storm — 268237 681516 24674 115 287362435797 148376 259 353 68 — — — — — —
202423 A+Fort Wayne TinCaps — 482408 962436 611076 107 235343353696 118303 2213 316 56 — — — — — —
202524 AASan Antonio Missions — 379324 71911 43698 87 219325262588 43271 1811 278 53 — — — — — —
202625 AASan Antonio Missions — 183165 34403 14373 93 206280285565 79248 208 261 32 — — — — — —
202625 INTLAguilas de Mexicali — 1814 4100 131 00 286375357732 71364 176 302 90 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202221 A MLELake Elsinore Storm — 3331 5100 260 30 161212194406 32196 186 192 16 — — — — — —
202221 ROK MLEACL Padres — 1715 4100 270 00 267353333686 67445 4112 267 67 — — — — — —
202322 A+ MLEFort Wayne TinCaps — 10395 17301 4361 10 179220242462 63253 354 201 22 — — — — — —
202322 A MLELake Elsinore Storm — 268245 571114 16964 115 233291335625 102347 366 268 68 — — — — — —
202423 A+ MLEFort Wayne TinCaps — 482429 842025 401386 107 196274287560 91269 298 251 56 — — — — — —
202524 AA MLESan Antonio Missions — 379337 71811 30808 87 211291249540 39265 218 247 53 — — — — — —
202625 AA MLESan Antonio Missions — 183169 30302 10453 93 178236231467 53232 255 216 32 — — — — — —
202221 A MLE2 teams — 5046 8200 4130 30 174240217457 43242 268 217 33 — — — — — —
202221 A RAW2 teams — 5044 11300 690 30 250340318658 68314 1812 306 33 — — — — — —
202322 A MLE2 teams — 371340 731315 201325 125 215268303571 88330 365 249 55 — — — — — —
202322 A RAW2 teams — 371330 871917 30965 125 264334391725 127348 268 322 55 — — — — — —
202423 A+ MLEFort Wayne TinCaps — 482429 842025 401386 107 196274287560 91274 298 251 56 — — — — — —
202423 A+ RAWFort Wayne TinCaps — 482408 962436 611076 107 235343353696 118303 2213 316 56 — — — — — —
202524 AA MLESan Antonio Missions — 379337 71811 30808 87 211291249540 39269 218 247 53 — — — — — —
202524 AA RAWSan Antonio Missions — 379324 71911 43698 87 219325262588 43271 1811 278 53 — — — — — —
202625 AA MLE2 teams — 201183 35403 11504 93 191253262515 71246 255 216 32 — — — — — —
202625 AA RAW2 teams — 201179 38503 15404 93 212288291578 78257 207 265 32 — — — — — —
202221 A MLE2 teams — 5046 8200 4130 30 174240217457 43281 268 217 33 — — — — — —
202322 A MLE2 teams — 371343 731315 201325 125 213268300569 87321 365 249 55 — — — — — —
202423 A+ MLEFort Wayne TinCaps — 482433 842025 401386 107 194274284558 90269 298 251 56 — — — — — —
202524 AA MLESan Antonio Missions — 379338 71811 30808 87 210291249539 38265 218 247 53 — — — — — —
202625 AA MLE2 teams — 201184 35403 11504 93 190253261513 71232 255 216 32 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202423 A+ MLEFort Wayne TinCaps — 482433 842025 401386 107 194274284558 90269 298 251 56 — — — — — —
202524 AA MLESan Antonio Missions — 379338 71811 30808 87 210291249539 38265 218 247 53 — — — — — —
202625 AA MLE2 teams — 201184 35403 11504 93 190253261513 71232 255 216 32 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202726 MLB MLESD 2% 233211 43712 17563 52 204273271544 67266 247 251 56 -12 +0 +0 -1 +5 -0.3
▸ 2027 — real world (MLB)
202726 MLB CTXSD 2% 22 0000 000 00 201271266536 65261 00 248 56 -0 +0 +0 -0 +0 -0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202827 MLB MLESD 27% 134121 24401 10322 31 205275275550 70266 247 253 58 -7 +0 +0 -1 +3 -0.5
202827 MLB CTXSD 27% 3632 6100 391 10 202272270542 68262 258 250 58 -2 +0 +0 -0 +1 -0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 3632 6100 391 10 188278219497 31261 258 250 52 -2 +0 +0 -0 +1 -0.1
/ 162G— A+C — 650578 1081800 5416218 180 187277218495 31260 258 250 52 -33 +4 +0 -4 +14 -1.9
Career— MLE — 17151546 31354416 12246826 4724 202272274546 71277 277 245 52 -12 +0 +0 -1 +5 -0.8
/ 162G— MLE — 650586 1192026 4617710 189 203273275547 72278 277 245 52 -33 +1 +0 -4 +14 -2.3

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 AASan Antonio Missions · 183 PAwOBA .255 → .216 (−38)K% 20.2% → 24.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.22%÷1.000×1.220——24.67%
BB% (unintentional) /PA7.65%÷1.000×0.700—×0.9885.29%
HBP% /PA1.64%—×0.870—×0.9881.41%
Singles /BIP21.09%÷1.000×0.920×1.046×0.98820.05%
Doubles /BIP3.12%÷1.000×0.840×1.046×0.9882.71%
Triples /BIP0.00%÷1.000×0.940×1.046×0.9880.00%
Home runs /BIP2.34%÷1.000×0.800—×0.9881.85%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.046.

Result: wOBA .255 → .216; ISO .079 → .063; BABIP .248 → .232. 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 AASan Antonio Missions · 379 PAwOBA .275 → .247 (−27)K% 18.2% → 21.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.21%÷1.054×1.220——21.08%
BB% (unintentional) /PA11.35%÷1.020×0.700—×0.9987.77%
HBP% /PA2.11%—×0.870—×0.9981.83%
Singles /BIP23.53%÷0.964×0.920×1.037×0.99823.25%
Doubles /BIP3.53%÷0.963×0.840×1.037×0.9983.19%
Triples /BIP0.39%÷1.036×0.940×1.037×0.9980.37%
Home runs /BIP0.39%÷0.950×0.800—×0.9980.33%

Factors used: league row TL. Park (home-season share, regressed): HR 90, 1B 93, 2B 93, 3B 107, K 111, BB 104 — 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 ×1.037.

Result: wOBA .275 → .247; ISO .043 → .040; BABIP .271 → .265. 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+Fort Wayne TinCaps · 482 PAwOBA .309 → .251 (−57)K% 22.2% → 28.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.20%÷0.982×1.270——28.71%
BB% (unintentional) /PA12.45%÷1.043×0.710—×0.9888.38%
HBP% /PA1.24%—×0.790—×0.9880.97%
Singles /BIP20.93%÷0.997×0.920×1.009×0.98819.25%
Doubles /BIP7.97%÷0.973×0.810×1.009×0.9886.62%
Triples /BIP1.00%÷1.082×0.850×1.009×0.9880.78%
Home runs /BIP1.99%÷0.916×0.800—×0.9881.72%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 83, 1B 99, 2B 95, 3B 116, K 96, BB 109 — 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 ×1.009.

Result: wOBA .309 → .251; ISO .118 → .098; BABIP .303 → .269. 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 ALake Elsinore Storm · 268 PAwOBA .345 → .268 (−78)K% 25.0% → 35.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.00%÷0.953×1.360——35.66%
BB% (unintentional) /PA8.96%÷1.032×0.690—×0.9905.93%
HBP% /PA1.49%—×0.780—×0.9901.15%
Singles /BIP27.06%÷0.951×0.920×1.024×0.99026.53%
Doubles /BIP8.82%÷1.065×0.830×1.024×0.9906.97%
Triples /BIP0.59%÷0.900×0.910×1.024×0.9900.60%
Home runs /BIP3.53%÷1.121×0.800—×0.9902.49%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 90, 2B 113, 3B 80, K 91, BB 106 — 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 ×1.024.

Result: wOBA .345 → .268; ISO .148 → .101; BABIP .376 → .347. 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+Fort Wayne TinCaps · 103 PAwOBA .239 → .201 (−38)K% 28.2% → 35.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.16%÷1.014×1.270——35.27%
BB% (unintentional) /PA5.83%÷0.983×0.710—×0.9984.20%
HBP% /PA0.97%—×0.790—×0.9980.77%
Singles /BIP21.88%÷0.956×0.920×1.008×0.99821.18%
Doubles /BIP6.25%÷1.118×0.810×1.008×0.9984.56%
Triples /BIP0.00%÷1.150×0.850×1.008×0.9980.00%
Home runs /BIP1.56%÷0.848×0.800—×0.9981.47%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 70, 1B 91, 2B 124, 3B 130, K 103, BB 97 — 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 ×1.008.

Result: wOBA .239 → .201; ISO .075 → .059; BABIP .277 → .253. 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 ALake Elsinore Storm · 33 PAwOBA .245 → .192 (−53)K% 12.1% → 17.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.12%÷0.968×1.360——17.04%
BB% (unintentional) /PA9.09%÷0.992×0.690——6.33%
HBP% /PA0.00%—×0.780——0.00%
Singles /BIP15.38%÷1.020×0.920——13.88%
Doubles /BIP7.69%÷1.115×0.830——5.73%
Triples /BIP0.00%÷1.000×0.910——0.00%
Home runs /BIP0.00%÷0.938×0.800——0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 104, 2B 123, 3B 100, K 94, BB 98 — 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).

Result: wOBA .245 → .192; ISO .067 → .048; BABIP .231 → .196. 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 Padres · 17 PAwOBA .402 → .267 (−135)K% 29.4% → 43.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.41%÷0.984×1.440——43.05%
BB% (unintentional) /PA17.65%÷1.015×0.620—×0.97510.51%
HBP% /PA0.00%—×0.720—×0.9750.00%
Singles /BIP44.44%÷0.965×0.820—×0.97536.81%
Doubles /BIP11.11%÷1.016×0.720—×0.9757.68%
Triples /BIP0.00%÷1.000×0.720—×0.9750.00%
Home runs /BIP0.00%÷1.081×0.780—×0.9750.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 93, 2B 103, 3B 100, K 97, BB 103 — 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 .402 → .267; ISO .071 → .043; BABIP .556 → .445. 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 — .