Jacob Robson

PosOF
B/TL/R
Born1994-11-20
Age (2027)32
No MLB projection yet. Career stats below are historical.
Overview
INTLPROSPECT
MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202328INTLSydney Blue S…124.269/.377/.30809101—
202429INTLBrisbane Band…113.239/.381/.446512137—
202631INTLCharros de Ja…49.267/.327/.53323138—
Contract
No contract data on file.

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)
201621 ROKGCL Tigers West — 118101 27420 16220 144 267368347714 79342 1914 327 44 — — — — — —
201722 A+Lakeland Flying Tigers — 255224 621142 23593 169 277352388740 112366 239 328 64 — — — — — —
201722 AWest Michigan Whitecaps — 267228 751011 31591 59 329412395806 66435 2212 359 82 — — — — — —
201823 AAAToledo Mud Hens — 245220 671314 23620 76 305370427798 123406 259 355 102 — — — — — —
201823 AAErie SeaWolves — 311262 751637 39782 114 286383450833 164382 2513 363 103 — — — — — —
201823 INTLEstrellas Orientales — 2925 6010 450 21 240345320665 80300 1714 308 95 — — — — — —
201924 AAAToledo Mud Hens — 473409 1092139 531323 2510 267355399753 132368 2811 335 79 — — — — — —
201924 INTLAguilas Cibaenas — 7668 15312 6220 13 221284382666 162295 298 289 82 — — — — — —
202025 INTLSydney Blue Sox — 4438 7101 491 01 184279289569 105207 209 259 62 — — — — — —
202126 AAAToledo Mud Hens — 288239 621035 461043 159 259385389775 130438 3616 355 77 — — — — — —
202126 AAErie SeaWolves — 8266 28922 14211 41 4245317121.243 288605 2617 525 180 — — — — — —
202227 AAAToledo Mud Hens — 179151 29923 28670 134 192318338656 146321 3716 302 41 — — — — — —
202227 INTLMelbourne Aces — 141119 31714 20361 93 261371437808 176338 2614 360 130 — — — — — —
202328 INTLSydney Blue Sox — 124104 28400 18300 93 269377308685 38368 2415 318 101 — — — — — —
202429 INTLBrisbane Bandits — 11392 22405 21350 121 239381446826 207327 3119 371 137 — — — — — —
202631 INTLCharros de Jalisco — 4945 12412 4170 31 267327533860 267385 358 372 138 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201621 ROK MLEGCL Tigers West — 118107 21310 10320 144 196265243508 47279 278 233 44 — — — — — —
201722 A+ MLELakeland Flying Tigers — 255232 541131 15843 169 233288319607 86345 336 263 64 — — — — — —
201722 A MLEWest Michigan Whitecaps — 267240 65911 19821 59 271327329656 58385 317 289 82 — — — — — —
201823 AAA MLEToledo Mud Hens — 245226 651114 17740 76 288337398736 111402 307 319 102 — — — — — —
201823 AA MLEErie SeaWolves — 311275 741535 26952 114 269337400737 131378 318 320 103 — — — — — —
201924 AAA MLEToledo Mud Hens — 473425 1001839 371503 2510 235301355656 120324 328 285 79 — — — — — —
202126 AAA MLEToledo Mud Hens — 288254 56833 311253 159 220312311624 91418 4311 282 77 — — — — — —
202126 AA MLEErie SeaWolves — 8270 25821 10251 41 3574445711.016 214531 3012 434 180 — — — — — —
202227 AAA MLEToledo Mud Hens — 179159 25722 20800 134 157251264516 107290 4511 229 41 — — — — — —
201621 ROK MLEGCL Tigers West — 118107 21310 10320 144 196265243508 47280 278 233 44 — — — — — —
201621 ROK RAWGCL Tigers West — 118101 27420 16220 144 267368347714 79342 1914 327 44 — — — — — —
201722 A MLE2 teams — 522472 1192042 341664 2118 252308324632 72381 327 276 73 — — — — — —
201722 A RAW2 teams — 522452 1372153 541184 2118 303382392774 88401 2310 344 73 — — — — — —
201823 AA MLE3 teams — 585528 1472859 451772 2011 278337402739 123401 308 320 102 — — — — — —
201823 AA RAW3 teams — 585507 14829511 661452 2011 292376434810 142388 2511 357 102 — — — — — —
201924 AAA MLE2 teams — 549493 11420310 431743 2613 231297345642 114332 328 285 79 — — — — — —
201924 AAA RAW2 teams — 549477 12424411 591543 2613 260345396741 136358 2811 329 79 — — — — — —
202025 INTL MLESydney Blue Sox — 4438 7101 491 01 184279289569 105207 209 — — — — — — — —
202025 INTL RAWSydney Blue Sox — 4438 7101 491 01 184279289569 105207 209 259 62 — — — — — —
202126 AAA MLE2 teams — 370324 821745 411504 1910 253344377721 123456 4111 316 100 — — — — — —
202126 AAA RAW2 teams — 370305 901957 601254 1910 295417459876 164480 3416 393 100 — — — — — —
202227 AAA MLE2 teams — 320282 431333 361431 227 152251252503 99292 4511 229 41 — — — — — —
202227 AAA RAW2 teams — 320270 601637 481031 227 222342381723 159329 3215 328 41 — — — — — —
202328 INTL MLESydney Blue Sox — 124104 28400 18300 93 269377308685 38368 2415 — — — — — — — —
202328 INTL RAWSydney Blue Sox — 124104 28400 18300 93 269377308685 38368 2415 318 101 — — — — — —
202429 INTL MLEBrisbane Bandits — 11392 22405 21350 121 239381446826 207327 3119 — — — — — — — —
202429 INTL RAWBrisbane Bandits — 11392 22405 21350 121 239381446826 207327 3119 371 137 — — — — — —
202631 INTL MLECharros de Jalisco — 4945 12412 4170 31 267327533860 267385 358 — — — — — — — —
202631 INTL RAWCharros de Jalisco — 4945 12412 4170 31 267327533860 267385 358 372 138 — — — — — —
201621 ROK MLEGCL Tigers West — 118107 21310 10320 144 196265243508 47279 278 233 44 — — — — — —
201722 A MLE2 teams — 522479 1192042 341664 2118 248308319627 71365 327 276 73 — — — — — —
201823 AA MLE3 teams — 585533 1472859 451772 2011 276337398735 122389 308 320 102 — — — — — —
201924 AAA MLE2 teams — 549498 11420310 431743 2613 229297341638 112324 328 285 79 — — — — — —
202126 AAA MLE2 teams — 370322 821745 411504 1910 255344379723 124443 4111 316 100 — — — — — —
202227 AAA MLE2 teams — 320280 431333 361431 227 154251254504 100290 4511 229 41 — — — — — —
▸ Career Totals
Career— MLE — 27942485 5951142137 25693315 14669 239314347661 107365 339 252 57 -143 +2 +0 -19 +61 -10.1
/ 162G— MLE — 650578 1392759 602173 3416 240315351666 111366 339 252 57 -33 +0 +0 -4 +14 -2.4

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.

2022 AAAToledo Mud Hens · 179 PAwOBA .295 → .229 (−66)K% 37.4% → 44.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA37.43%÷1.008×1.200——44.57%
BB% (unintentional) /PA15.64%÷0.964×0.690—×0.99211.11%
HBP% /PA0.00%—×0.940—×0.9920.00%
Singles /BIP17.86%÷1.015×0.930×1.050×0.99217.04%
Doubles /BIP10.71%÷1.015×0.830×1.050×0.9929.13%
Triples /BIP2.38%÷1.150×0.970×1.050×0.9922.09%
Home runs /BIP3.57%÷1.026×0.700—×0.9922.42%

Factors used: league row International League. Park (home-season share, regressed): HR 105, 1B 103, 2B 103, 3B 130, K 102, BB 93 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .295 → .229; ISO .146 → .108; BABIP .321 → .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).

2021 AAAToledo Mud Hens · 288 PAwOBA .347 → .282 (−65)K% 36.1% → 43.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA36.11%÷1.000×1.200——43.34%
BB% (unintentional) /PA15.97%÷1.038×0.690—×1.00310.65%
HBP% /PA1.04%—×0.940—×1.0030.98%
Singles /BIP32.59%÷0.991×0.930×1.050×1.00332.22%
Doubles /BIP7.41%÷1.013×0.830×1.050×1.0036.39%
Triples /BIP2.22%÷0.981×0.920×1.050×1.0032.19%
Home runs /BIP3.70%÷1.052×0.700—×1.0032.47%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 98, 2B 103, 3B 96, K 100, BB 108 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .347 → .282; ISO .130 → .099; BABIP .438 → .418. 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).

2021 AAErie SeaWolves · 82 PAwOBA .511 → .434 (−78)K% 25.6% → 30.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.61%÷1.026×1.220——30.44%
BB% (unintentional) /PA17.07%÷0.945×0.690—×0.97812.19%
HBP% /PA1.22%—×0.850—×0.9781.01%
Singles /BIP33.33%÷1.030×0.940—×0.97829.76%
Doubles /BIP20.00%÷0.935×0.870—×0.97818.19%
Triples /BIP4.44%÷1.150×0.920—×0.9783.48%
Home runs /BIP4.44%÷1.055×0.780—×0.9783.21%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 106, 2B 87, 3B 130, K 105, BB 89 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .511 → .434; ISO .288 → .244; BABIP .605 → .531. 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).

2019 AAAToledo Mud Hens · 473 PAwOBA .329 → .285 (−44)K% 27.9% → 31.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.91%÷1.056×1.200——31.72%
BB% (unintentional) /PA10.99%÷1.004×0.690—×1.0337.81%
HBP% /PA0.63%—×0.940—×1.0330.62%
Singles /BIP27.44%÷1.013×0.930×0.950×1.03324.72%
Doubles /BIP7.58%÷0.995×0.830×0.950×1.0336.20%
Triples /BIP1.08%÷1.096×0.970×0.950×1.0330.94%
Home runs /BIP3.25%÷0.888×0.840—×1.0333.17%

Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 103, 2B 99, 3B 119, K 111, BB 101 — 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 ×0.950.

Result: wOBA .329 → .285; ISO .132 → .122; BABIP .368 → .324. 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).

2018 AAErie SeaWolves · 311 PAwOBA .353 → .320 (−33)K% 25.1% → 30.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.08%÷0.999×1.220——30.64%
BB% (unintentional) /PA11.90%÷1.007×0.700—×1.0128.37%
HBP% /PA0.64%—×0.850—×1.0120.55%
Singles /BIP26.63%÷1.016×0.970×1.050×1.01227.01%
Doubles /BIP8.70%÷0.974×0.860×1.050×1.0128.16%
Triples /BIP1.63%÷0.901×0.950×1.050×1.0121.83%
Home runs /BIP3.80%÷1.112×0.780—×1.0122.70%

Factors used: league row EL. Park (home-season share, regressed): HR 122, 1B 103, 2B 95, 3B 80, K 100, BB 101 — 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 ×1.050.

Result: wOBA .353 → .320; ISO .164 → .143; BABIP .382 → .378. 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).

2018 AAAToledo Mud Hens · 245 PAwOBA .347 → .319 (−28)K% 25.3% → 30.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.31%÷1.011×1.200——30.05%
BB% (unintentional) /PA9.39%÷0.980×0.690—×1.0486.92%
HBP% /PA0.00%—×0.940—×1.0480.00%
Singles /BIP31.01%÷1.005×0.930×1.050×1.04831.57%
Doubles /BIP8.23%÷1.038×0.830×1.050×1.0487.24%
Triples /BIP0.63%÷1.038×0.970×1.050×1.0480.65%
Home runs /BIP2.53%÷0.893×0.840—×1.0482.49%

Factors used: league row IL. Park (home-season share, regressed): HR 79, 1B 101, 2B 108, 3B 108, K 102, BB 96 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .347 → .319; ISO .123 → .112; BABIP .406 → .402. 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).

2017 AWest Michigan Whitecaps · 267 PAwOBA .349 → .289 (−61)K% 22.1% → 30.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.10%÷0.978×1.360——30.72%
BB% (unintentional) /PA10.49%÷0.992×0.690—×0.9907.22%
HBP% /PA0.37%—×0.780—×0.9900.29%
Singles /BIP37.28%÷1.084×0.920×1.050×0.99032.89%
Doubles /BIP5.92%÷0.958×0.830×1.050×0.9905.33%
Triples /BIP0.59%÷1.150×0.910×1.050×0.9900.49%
Home runs /BIP0.59%÷0.849×0.800—×0.9900.55%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 70, 1B 117, 2B 92, 3B 130, K 96, BB 98 — 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 ×1.050.

Result: wOBA .349 → .289; ISO .066 → .058; BABIP .435 → .385. 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).

2017 A+Lakeland Flying Tigers · 255 PAwOBA .321 → .263 (−59)K% 23.1% → 33.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.14%÷0.995×1.420——33.03%
BB% (unintentional) /PA9.02%÷1.138×0.750—×0.9985.93%
HBP% /PA1.18%—×0.930—×0.9981.09%
Singles /BIP27.27%÷1.012×0.920×1.027×0.99825.41%
Doubles /BIP6.67%÷0.918×0.960×1.027×0.9987.15%
Triples /BIP2.42%÷1.039×0.810×1.027×0.9981.94%
Home runs /BIP1.21%÷1.747×0.880—×0.9980.61%

Factors used: league row FSL. Park (home-season share, regressed): HR 249, 1B 102, 2B 84, 3B 108, K 99, BB 128 — 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 ×1.027.

Result: wOBA .321 → .263; ISO .112 → .088; BABIP .366 → .345. 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 — .