Jakey Josepha

CF Hillsboro Hops
Age 23 L/R 6'2" / 135 lbs A+ HR -11% Svc 0.0 · Ctrl thru 2036
Overview
A+PROSPECTMiLBFA 2037
ETA2029MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202420A/ROKARI294.221/.311/.33241014—.144/.213/.220
202521A/ROKARI344.256/.355/.37562655—.202/.278/.291
202622A+/AARI451.260/.358/.38054163—.213/.286/.305
2027PROJMLE23MLBARI1.195/.268/.2840052-0.0
2028PROJ30% MLB24MLBARI122.201/.275/.3022559-0.2
2029PROJ44% MLB25MLBARI200.205/.279/.3143764-0.3
Next 3 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2036Service0.0First FA2037
2027MiLB2028MiLB2029MiLB2030MiLB2031Ext$0.9M2032Ext$0.9M2033Ext$0.9M2034Ext$3M+2
Skills · percentileMiLB Statcast 2026 A+
Speed95
Whiff%56
K%54
wRC+38
ISO38
wOBA37
Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 95%
CompsMichael Siani (age 23) · Max Ferguson (age 23) · Nick Heath (age 23)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†52
AVG/OBP/SLG.195 / .268 / .284
PA1
HR0
K%32
BB%9
BABIP287
ISO79
MLB%0%
Value2027 · WAR
BAT: -11.9 runs (wOBA-derived runs vs avg)-12BATRUN: +1.2 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.7 runs (Positional adjustment)+1POSREP: +4.5 runs (Replacement-level credit)+5REPTotal WAR: -0.50-0.5WAR
trajectory · projected WAR by year
-0.5-0.2-0.3-0.3272830
Tools · ContractCON 35 / POW 35
Toolsscout grade
CONTACT35
scouting grade only
POWER35
scouting grade only
EYE50
scouting grade only
SPEED60
scouting grade only
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
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
2036Extbeyond 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)
202117 ROKDSL D-backs 1 — 5043 5000 6140 12 116224116341 172 2812 174 -34 — — — — — —
202218 ROKDSL D-backs Black — 179148 46511 25321 121 311414378792 68381 1814 355 53 — — — — — —
202319 ROKACL D-backs Red — 137111 35413 22351 84 315433450883 135427 2616 391 74 — — — — — —
202420 AVisalia Rawhide — 8170 8100 8341 10 114215129344 14222 4210 172 -28 — — — — — —
202420 ROKACL D-backs — 213183 481314 20704 92 262348410758 148386 339 332 30 — — — — — —
202521 AVisalia Rawhide — 276234 55835 35684 232 235344359703 124307 2513 319 53 — — — — — —
202521 ROKACL D-backs — 6859 20111 6150 32 339400441841 102422 229 361 65 — — — — — —
202622 A+Hillsboro Hops — 237215 581043 19551 248 270332395727 126348 238 323 57 — — — — — —
202622 AVisalia Rawhide — 214169 421302 39550 175 249388361749 112342 2618 339 69 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202117 ROK MLEDSL D-backs 1 — 5045 3000 4170 12 6714367210 120 348 118 -34 — — — — — —
202218 ROK MLEDSL D-backs Black — 179154 32311 19401 121 208299260559 52253 2211 246 53 — — — — — —
202319 ROK MLEACL D-backs Red — 137120 27312 13501 84 225306317623 92333 369 277 74 — — — — — —
202420 A MLEVisalia Rawhide — 8172 6100 6461 10 8316597262 14217 577 127 -28 — — — — — —
202420 ROK MLEACL D-backs — 213191 32813 121044 92 168232267499 99296 496 213 30 — — — — — —
202521 A MLEVisalia Rawhide — 276245 46633 24944 232 188271273545 86284 349 247 53 — — — — — —
202521 ROK MLEACL D-backs — 6861 16111 4230 32 262308361668 98328 346 264 65 — — — — — —
202622 A+ MLEHillsboro Hops — 237220 48832 14741 248 218268309577 91308 316 252 57 — — — — — —
202622 A MLEVisalia Rawhide — 214183 381102 26750 175 208306301607 93302 3512 270 69 — — — — — —
202117 ROK MLEDSL D-backs 1 — 5045 3000 4170 12 6714367210 107 348 118 -34 — — — — — —
202117 ROK RAWDSL D-backs 1 — 5043 5000 6140 12 116224116341 172 2812 174 -34 — — — — — —
202218 ROK MLEDSL D-backs Black — 179154 32311 19401 121 208299260559 52267 2211 246 53 — — — — — —
202218 ROK RAWDSL D-backs Black — 179148 46511 25321 121 311414378792 68381 1814 355 53 — — — — — —
202319 ROK MLEACL D-backs Red — 137120 27312 13501 84 225306317623 92357 369 277 74 — — — — — —
202319 ROK RAWACL D-backs Red — 137111 35413 22351 84 315433450883 135427 2616 391 74 — — — — — —
202420 ROK MLE2 teams — 294264 38813 171505 102 144210216426 72302 516 189 14 — — — — — —
202420 ROK RAW2 teams — 294253 561414 281045 102 221311332643 111347 3510 288 14 — — — — — —
202521 A MLE2 teams — 344306 62744 281174 264 203278291569 88307 348 250 56 — — — — — —
202521 A RAW2 teams — 344293 75946 41834 264 256355375730 119332 2412 328 56 — — — — — —
202622 A+ MLE2 teams — 451403 841834 401491 4113 208282298579 89312 339 261 62 — — — — — —
202622 A+ RAW2 teams — 451384 1002345 581101 4113 260358380738 120345 2413 331 62 — — — — — —
202117 ROK MLEDSL D-backs 1 — 5046 3000 4170 12 6514365208 120 348 118 -34 — — — — — —
202218 ROK MLEDSL D-backs Black — 179157 32311 19401 121 204299255554 51253 2211 246 53 — — — — — —
202319 ROK MLEACL D-backs Red — 137122 27312 13501 84 221306311617 90333 369 277 74 — — — — — —
202420 ROK MLE2 teams — 294270 38813 171505 102 141210211421 70274 516 189 14 — — — — — —
202521 A MLE2 teams — 344309 62744 281174 264 201278288566 87293 348 250 56 — — — — — —
202622 A+ MLE2 teams — 451407 841834 401491 4113 206282295576 88305 339 261 62 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202420 ROK MLE2 teams — 294270 38813 171505 102 141210211421 70274 516 189 14 — — — — — —
202521 A MLE2 teams — 344309 62744 281174 264 201278288566 87293 348 250 56 — — — — — —
202622 A+ MLE2 teams — 451407 841834 401491 4113 206282295576 88305 339 261 62 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202723 MLB MLEARI 0% 561506 961945 471793 236 189262271534 83277 328 245 52 -32 +2 +0 +2 +12 -0.5
▸ 2027 — real world (MLB)
202723 MLB CTXARI 0% 11 0000 000 00 195268284552 89287 00 253 52 -0 +0 +0 +0 +0 -0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202824 MLB MLEARI 30% 404364 711435 351262 154 195269290559 95279 319 256 59 -20 +1 +0 +1 +9 -0.8
202925 MLB MLEARI 44% 452407 821637 391393 164 199273303576 104280 319 262 64 -20 +2 +0 +2 +10 -0.7
203026 MLB MLEARI 51% 481433 881738 421463 164 202276311587 109280 309 267 67 -19 +2 +0 +2 +10 -0.5
202824 MLB CTXARI 30% 122110 23512 10381 51 201275302577 101289 318 262 59 -6 +1 +0 +0 +3 -0.2
202925 MLB CTXARI 44% 200180 38823 17611 72 205279314593 109290 308 269 64 -9 +1 +0 +1 +4 -0.3
203026 MLB CTXARI 51% 244220 461024 21741 82 208282322604 114291 309 273 67 -10 +1 +0 +1 +5 -0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 566510 1072359 481733 205 210282327609 118296 318 269 55 -24 +2 +0 +2 +12 -0.8
/ 162G— A+C — 650586 12226610 551993 236 208279324603 116295 318 269 55 -28 +2 +0 +2 +14 -0.9
Career— MLE — 30022685 522932036 255100121 15340 194270284554 90290 338 249 55 -70 +5 +0 +6 +34 -2.6
/ 162G— MLE — 650581 1132048 552175 339 194270284554 90290 338 249 55 -30 +2 +0 +2 +14 -1.1

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 A+Hillsboro Hops · 237 PAwOBA .316 → .252 (−65)K% 23.2% → 31.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.21%÷1.000×1.350——31.33%
BB% (unintentional) /PA8.02%÷1.000×0.710—×1.0125.76%
HBP% /PA0.42%—×0.810—×1.0120.35%
Singles /BIP25.62%÷1.000×0.910×0.986×1.01223.27%
Doubles /BIP6.25%÷1.000×0.830×0.986×1.0125.18%
Triples /BIP2.50%÷1.000×0.820×0.986×1.0122.05%
Home runs /BIP1.88%÷1.000×0.830—×1.0121.57%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.986.

Result: wOBA .316 → .252; ISO .126 → .096; BABIP .348 → .308. 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 AVisalia Rawhide · 214 PAwOBA .337 → .270 (−68)K% 25.7% → 35.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.70%÷1.000×1.360——34.95%
BB% (unintentional) /PA17.76%÷1.000×0.690——12.25%
HBP% /PA0.00%—×0.780——0.00%
Singles /BIP23.68%÷1.000×0.920×0.995—21.69%
Doubles /BIP11.40%÷1.000×0.830×0.995—9.42%
Triples /BIP0.00%÷1.000×0.910×0.995—0.00%
Home runs /BIP1.75%÷1.000×0.800——1.40%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.995.

Result: wOBA .337 → .270; ISO .112 → .091; BABIP .342 → .302. 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 AVisalia Rawhide · 276 PAwOBA .314 → .247 (−67)K% 24.6% → 34.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.64%÷0.983×1.360——34.07%
BB% (unintentional) /PA12.68%÷1.012×0.690—×1.0158.77%
HBP% /PA1.45%—×0.780—×1.0151.15%
Singles /BIP23.49%÷1.027×0.920×1.035×1.01522.11%
Doubles /BIP4.82%÷1.005×0.830×1.035×1.0154.18%
Triples /BIP1.81%÷0.900×0.910×1.035×1.0151.92%
Home runs /BIP3.01%÷1.283×0.800—×1.0151.91%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 157, 1B 105, 2B 101, 3B 80, K 97, BB 102 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.035.

Result: wOBA .314 → .247; ISO .124 → .091; BABIP .307 → .284. 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 ROKACL D-backs · 68 PAwOBA .362 → .264 (−99)K% 22.1% → 33.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.06%÷0.952×1.440——33.38%
BB% (unintentional) /PA8.82%÷0.942×0.620—×0.9855.72%
HBP% /PA0.00%—×0.720—×0.9850.00%
Singles /BIP38.64%÷1.030×0.820—×0.98530.31%
Doubles /BIP2.27%÷0.945×0.720—×0.9851.71%
Triples /BIP2.27%÷0.939×0.720—×0.9851.72%
Home runs /BIP2.27%÷0.862×0.780—×0.9852.03%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 72, 1B 106, 2B 89, 3B 88, K 90, BB 88 — 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 .362 → .264; ISO .102 → .079; BABIP .422 → .328. 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 ROKACL D-backs · 213 PAwOBA .331 → .213 (−118)K% 32.9% → 49.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA32.86%÷0.965×1.440——49.05%
BB% (unintentional) /PA9.39%÷1.069×0.620—×0.9955.42%
HBP% /PA1.88%—×0.720—×0.9951.35%
Singles /BIP26.55%÷1.009×0.820×1.006×0.99521.59%
Doubles /BIP11.50%÷1.031×0.720×1.006×0.9958.04%
Triples /BIP0.88%÷0.984×0.720×1.006×0.9950.65%
Home runs /BIP3.54%÷0.875×0.780—×0.9953.14%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 75, 1B 102, 2B 106, 3B 97, K 93, BB 114 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.

Result: wOBA .331 → .213; ISO .148 → .096; BABIP .386 → .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).

2024 AVisalia Rawhide · 81 PAwOBA .168 → .127 (−41)K% 42.0% → 56.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA41.98%÷1.009×1.360——56.57%
BB% (unintentional) /PA9.88%÷0.980×0.690—×1.0307.16%
HBP% /PA1.23%—×0.780—×1.0300.99%
Singles /BIP19.44%÷1.010×0.920×1.050×1.03019.16%
Doubles /BIP2.78%÷0.964×0.830×1.050×1.0302.59%
Triples /BIP0.00%÷0.965×0.910×1.050×1.0300.00%
Home runs /BIP0.00%÷1.102×0.800—×1.0300.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 102, 2B 93, 3B 93, K 102, BB 96 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .168 → .127; ISO .014 → .011; BABIP .222 → .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).

2023 ROKACL D-backs Red · 137 PAwOBA .387 → .277 (−110)K% 25.5% → 36.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.55%÷1.005×1.440——36.60%
BB% (unintentional) /PA16.06%÷1.023×0.620—×1.0089.80%
HBP% /PA0.73%—×0.720—×1.0080.53%
Singles /BIP35.53%÷1.033×0.820×1.000×1.00828.41%
Doubles /BIP5.26%÷0.987×0.720×1.000×1.0083.87%
Triples /BIP1.32%÷1.150×0.720×1.000×1.0080.83%
Home runs /BIP3.95%÷0.918×0.780—×1.0083.38%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 84, 1B 107, 2B 97, 3B 130, K 101, BB 105 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .387 → .277; ISO .135 → .103; BABIP .427 → .333. 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 DSLDSL D-backs Black · 179 PAwOBA .353 → .246 (−107)K% 17.9% → 22.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.88%÷0.978×1.220——22.30%
BB% (unintentional) /PA13.97%÷0.927×0.700—×1.00810.63%
HBP% /PA0.56%—×0.700—×1.0080.39%
Singles /BIP33.62%÷1.014×0.680×1.011×1.00822.96%
Doubles /BIP4.31%÷1.104×0.600×1.011×1.0082.39%
Triples /BIP0.86%÷1.150×0.600×1.011×1.0080.46%
Home runs /BIP0.86%÷0.896×0.470—×1.0080.46%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 103, 2B 121, 3B 130, K 96, BB 85 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .353 → .246; ISO .068 → .038; BABIP .381 → .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).