Jakob Christian

OF Eugene Emeralds
Age 24 R/R 6'5" / 232 lbs A+ HR -15%H -3% Svc 0.0 · Ctrl thru 2036
Overview
A+PROSPECTMiLBFA 2037
ETA2029MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202421ASF37.267/.389/.5001094—.226/.333/.419
202522A+/ASF410.279/.369/.484141565—.201/.274/.324
202623A+SF224.253/.374/.4849167—.174/.275/.328
2027PROJMLE24MLBSF1.201/.276/.3320075-0.0
2028PROJ30% MLB25MLBSF43.203/.279/.3371178-0.0
2029PROJ44% MLB26MLBSF88.205/.280/.3392279-0.0
Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2036Service0.0First FA2037
2027MiLB2028MiLB2029MiLB2030Ext$0.0M2031Ext$0.9M2032Ext$0.9M2033Ext$0.9M2034Ext$3M+2
Skills · percentileMiLB Statcast 2026 A+
ISO83
wRC+77
wOBA73
BB%62
Speed22
Chase%15
Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%
CompsStefan Trosclair (age 24) · Cory Vaughn (age 24) · Tanner O'Tremba (age 24)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†75
AVG/OBP/SLG.201 / .276 / .332
PA1
HR0
K%33
BB%7
BABIP282
ISO135
MLB%0%
Value2027 · WAR
BAT: -3.1 runs (wOBA-derived runs vs avg)-3BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.6 runs (Positional adjustment)-1POSREP: +2.3 runs (Replacement-level credit)+2REPTotal WAR: -0.10-0.1WAR
trajectory · projected WAR by year
-0.10.00.0272829
Tools · ContractCON 40 / POW 45
Toolsscout grade
CONTACT40
scouting grade only
POWER45
scouting grade only
EYE40
scouting grade only
SPEED50
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
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
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)
202421 ASan Jose Giants — 3730 8401 581 00 267389500889 233318 2214 383 94 — — — — — —
202522 A+Eugene Emeralds — 9279 24904 8323 30 304389570959 266444 359 409 99 — — — — — —
202522 ASan Jose Giants — 318272 7419110 32907 122 272363460823 188358 2810 359 55 — — — — — —
202623 A+Eugene Emeralds — 224186 471419 29737 11 253374484858 231358 3313 377 67 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202421 A MLESan Jose Giants — 3731 7301 4111 00 226333419753 194277 3011 307 94 — — — — — —
202522 A+ MLEEugene Emeralds — 9281 19703 6403 30 235311432743 198371 437 314 99 — — — — — —
202522 A MLESan Jose Giants — 318283 541215 211277 122 191264293557 102297 407 249 55 — — — — — —
202623 A+ MLEEugene Emeralds — 224195 341016 20997 11 174275328603 154290 449 267 67 — — — — — —
202421 A MLESan Jose Giants — 3731 7301 4111 00 226333419753 194300 3011 307 94 — — — — — —
202421 A RAWSan Jose Giants — 3730 8401 581 00 267389500889 233318 2214 383 94 — — — — — —
202522 A MLE2 teams — 410364 731918 2716810 152 201274324598 124330 417 264 65 — — — — — —
202522 A RAW2 teams — 410351 9828114 4012210 152 279369484853 205375 3010 370 65 — — — — — —
202623 A+ MLEEugene Emeralds — 224195 341016 20997 11 174275328603 154304 449 267 67 — — — — — —
202623 A+ RAWEugene Emeralds — 224186 471419 29737 11 253374484858 231358 3313 377 67 — — — — — —
202421 A MLESan Jose Giants — 3732 7301 4111 00 219333406740 188277 3011 307 94 — — — — — —
202522 A MLE2 teams — 410370 731918 2716810 152 197274319593 122314 417 264 65 — — — — — —
202623 A+ MLEEugene Emeralds — 224195 341016 20997 11 174275328603 154290 449 267 67 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202421 A MLESan Jose Giants — 3732 7301 4111 00 219333406740 188277 3011 307 94 — — — — — —
202522 A MLE2 teams — 410370 731918 2716810 152 197274319593 122314 417 264 65 — — — — — —
202623 A+ MLEEugene Emeralds — 224195 341016 20997 11 174275328603 154290 449 267 67 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202724 MLB MLESF 0% 274246 501117 21895 51 205279342621 137286 328 280 75 -8 +1 +0 -2 +6 -0.1
▸ 2027 — real world (MLB)
202724 MLB CTXSF 0% 11 0000 000 00 201276332608 131282 00 274 75 -0 +0 +0 -0 +0 -0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202825 MLB MLESF 30% 143128 28614 11463 21 207282347629 140286 328 283 78 -4 +0 +0 -1 +3 -0.2
202926 MLB MLESF 44% 199179 37815 15633 31 209284350634 141286 328 285 79 -5 +0 +0 -1 +4 -0.2
202825 MLB CTXSF 30% 4339 8201 3141 10 203279337615 133282 337 278 78 -1 +0 +0 -0 +1 -0.0
202926 MLB CTXSF 44% 8879 16402 7282 20 205280339620 134282 328 279 79 -2 +0 +0 -1 +2 -0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 131118 24603 10423 30 203282331613 127288 328 279 71 -3 +1 +0 -1 +3 -0.1
/ 162G— A+C — 650585 11930015 5020815 150 203283332615 128287 328 279 71 -17 +3 +0 -4 +14 -0.4
Career— MLE — 1120993 19850427 8542226 235 199280339619 140306 388 273 71 -12 +1 +0 -3 +10 -0.4
/ 162G— MLE — 650576 11529216 4924515 133 200280340620 141306 388 273 71 -17 +1 +0 -4 +14 -0.6

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+Eugene Emeralds · 224 PAwOBA .371 → .267 (−104)K% 32.6% → 44.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA32.59%÷1.000×1.350——44.00%
BB% (unintentional) /PA12.95%÷1.000×0.710—×0.9889.08%
HBP% /PA3.12%—×0.810—×0.9882.50%
Singles /BIP20.35%÷1.000×0.910×0.950×0.98817.38%
Doubles /BIP12.39%÷1.000×0.830×0.950×0.9889.65%
Triples /BIP0.88%÷1.000×0.820×0.950×0.9880.68%
Home runs /BIP7.96%÷1.000×0.830—×0.9886.53%

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 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 ×0.950.

Result: wOBA .371 → .267; ISO .231 → .164; BABIP .358 → .290. 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 ASan Jose Giants · 318 PAwOBA .357 → .249 (−108)K% 28.3% → 40.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.30%÷0.962×1.360——40.03%
BB% (unintentional) /PA10.06%÷1.055×0.690—×0.9906.52%
HBP% /PA2.20%—×0.780—×0.9901.70%
Singles /BIP24.18%÷1.007×0.920×1.002×0.99021.91%
Doubles /BIP10.44%÷1.138×0.830×1.002×0.9907.55%
Triples /BIP0.55%÷0.902×0.910×1.002×0.9900.55%
Home runs /BIP5.49%÷1.358×0.800—×0.9903.20%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 172, 1B 101, 2B 128, 3B 80, K 92, BB 111 — 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 ×1.002.

Result: wOBA .357 → .249; ISO .188 → .111; BABIP .358 → .297. 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 A+Eugene Emeralds · 92 PAwOBA .407 → .314 (−93)K% 34.8% → 43.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA34.78%÷1.070×1.350——43.89%
BB% (unintentional) /PA8.70%÷0.950×0.710—×0.9986.49%
HBP% /PA3.26%—×0.810—×0.9982.64%
Singles /BIP23.40%÷1.011×0.910—×0.99821.03%
Doubles /BIP19.15%÷1.048×0.830—×0.99815.13%
Triples /BIP0.00%÷0.909×0.820—×0.9980.00%
Home runs /BIP8.51%÷0.980×0.830—×0.9987.19%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 102, 2B 110, 3B 82, K 114, BB 90 — 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).

Result: wOBA .407 → .314; ISO .266 → .201; BABIP .444 → .371. 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 ASan Jose Giants · 37 PAwOBA .383 → .307 (−77)K% 21.6% → 30.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.62%÷0.957×1.360——30.74%
BB% (unintentional) /PA13.51%÷0.966×0.690——9.65%
HBP% /PA2.70%—×0.780——2.11%
Singles /BIP13.64%÷0.961×0.920——13.05%
Doubles /BIP18.18%÷1.012×0.830——14.91%
Triples /BIP0.00%÷1.000×0.910——0.00%
Home runs /BIP4.55%÷0.959×0.800——3.79%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 92, 2B 102, 3B 100, K 91, BB 93 — 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 .383 → .307; ISO .233 → .186; BABIP .318 → .277. 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).