Jacob Hurtubise

LF Nashville Sounds
Age 29 L/R 5'11" / 180 lbs AAA HR +10%K +6% Svc 3.000 · Ctrl thru 2029
Overview
AAAROOKIEArb-1FA 2030
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202426AAA/A+CIN249.272/.382/.36931680—.250/.329/.326
202426MLBCIN68.185/.302/.2410249-0.6
202527AAAHOU207.160/.354/.20001347—.152/.298/.189
202527MLBCIN15.083/.267/.0830024-0.3
202628AAA/AAMIL279.258/.386/.31902171—.228/.325/.287
2027PROJ10% MLB29MLBMIL16.195/.300/.2450164-0.0
2028PROJ27% MLB30MLBMIL62.194/.297/.2450262-0.3
Last 3 seasons WAR -0.9  ·  Next 2 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2029Service3.000First FA2030
2027Arb-1$0.2M2028Arb-2$0.4M2029Ext$0.6M
Skills · percentileMiLB Statcast 2026 AAA
Chase%91
BB%86
Speed84
Whiff%76
Z-Con%59
K%42
Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%
CompsPatrick Biondi (age 27) · Terrance Gore (age 28) · Coby Smith (age 28)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†64
AVG/OBP/SLG.195 / .300 / .245
PA16
HR0
K%25
BB%6
BABIP265
ISO45
MLB%10%
Value2027 · WAR
BAT: -6.7 runs (wOBA-derived runs vs avg)-7BATRUN: +0.6 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.2 runs (Defensive runs vs avg)+0FLDPOS: -1.7 runs (Positional adjustment)-2POSREP: +3.4 runs (Replacement-level credit)+3REPTotal WAR: -0.30-0.3WAR
0.00.51.00.00.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus
Tools · ContractCON 35 / POW 25
Toolsscout grade · Statcast %ile · 2024-2025
CONTACT35
xAVG
100.187
POWER25
Avg EV
1084.0
Bat Spd
1066.4
EYE60
scouting grade only
SPEED60
Sprint
3726.9
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Arb-1
MLB Debut   2024
Service   3.000 yrs.days
Team Control Through   2029
First FA Year   2030
YearStatusSalary Proj WAR Value Surplus
2027Arb-1$0.2M———
2028Arb-2$0.4M———
2029Extbeyond projection horizon · no WAR estimate
Totals $0.0M $-1M +$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)
202123 A+Dayton Dragons — 414332 941230 587317 3910 283412337750 54360 1814 350 78 — — — — — —
202224 AAChattanooga Lookouts — 194156 39221 234112 163 250387308695 58330 2112 327 78 — — — — — —
202325 AAALouisville Bats — 137100 39401 29145 123 3905454601.005 70437 1021 452 162 — — — — — —
202325 AAChattanooga Lookouts — 318242 747106 484919 336 306450492942 186360 1515 413 120 — — — — — —
202325 INTLSurprise Saguaros — 10990 24400 16231 110 267380311691 44353 2115 322 104 — — — — — —
202426 MLBCincinnati Reds — 6854 10110 6183 20 185302241542 56270 269 243 49 -4 +0 +0 -3 +1 -0.6
202426 AAALouisville Bats — 234192 52522 31436 151 271385349734 78340 1813 337 80 — — — — — —
202426 A+Dayton Dragons — 1514 4201 021 10 286333643976 357273 130 419 87 — — — — — —
202527 MLBCincinnati Reds — 1512 1000 162 00 8326783350 167 407 205 24 -1 +0 +0 -2 +0 -0.3
202527 AAASugar Land Space Cowboys — 207150 24410 333813 130 160354200554 40207 1816 273 47 — — — — — —
202628 AAANashville Sounds — 179147 33200 26425 152 224360238598 14314 2315 293 49 — — — — — —
202628 AABiloxi Shuckers — 10082 26440 13164 61 317434463898 146388 1613 399 109 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 8366 11110 7245 20 167295212507 45256 298 236 46 -5 +0 +0 -6 +2 -0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202123 A+ MLEDayton Dragons — 414353 831030 4010017 3910 235341280622 45317 2410 283 78 — — — — — —
202224 AA MLEChattanooga Lookouts — 194164 39221 154912 163 238346293638 55317 258 284 78 — — — — — —
202325 AAA MLELouisville Bats — 137108 40401 21175 123 370493435928 65408 1215 408 162 — — — — — —
202325 AA MLEChattanooga Lookouts — 318264 72785 306219 336 273387417803 144323 199 346 120 — — — — — —
202426 MLB MLECincinnati Reds — 6854 10110 6183 20 185302241542 56270 269 241 49 -4 +0 +0 -3 +1 -0.6
202426 AAA MLELouisville Bats — 234206 51521 19526 151 248329306635 58318 228 287 80 — — — — — —
202426 A+ MLEDayton Dragons — 1514 4201 031 10 286333643976 357220 200 297 87 — — — — — —
202527 MLB MLECincinnati Reds — 1512 1000 162 00 8326783350 167 407 203 24 -1 +0 +0 -2 +0 -0.3
202527 AAA MLESugar Land Space Cowboys — 207164 25410 214613 130 152298189487 37191 2210 237 47 — — — — — —
202628 AAA MLENashville Sounds — 179155 31200 18505 152 200303213516 13289 2810 241 49 — — — — — —
202628 AA MLEBiloxi Shuckers — 10086 24440 8204 61 279364419782 140338 208 330 109 — — — — — —
202123 A+ MLEDayton Dragons — 414353 831030 4010017 3910 235341280622 45325 2410 283 78 — — — — — —
202123 A+ RAWDayton Dragons — 414332 941230 587317 3910 283412337750 54360 1814 350 78 — — — — — —
202224 AA MLEChattanooga Lookouts — 194164 39221 154912 163 238346293638 55330 258 284 78 — — — — — —
202224 AA RAWChattanooga Lookouts — 194156 39221 234112 163 250387308695 58330 2112 327 78 — — — — — —
202325 AA MLE3 teams — 564467 13813107 639825 569 296407411818 116357 1711 365 133 — — — — — —
202325 AA RAW3 teams — 564432 13715107 938625 569 317459447906 130378 1516 405 133 — — — — — —
202426 AAA MLE3 teams — 317274 64732 257210 181 234320303623 69308 238 278 74 — — — — — —
202426 AAA RAW3 teams — 317260 66833 376310 181 254366342708 88323 2012 320 74 — — — — — —
202527 AAA MLE2 teams — 222176 26410 225215 130 148296182478 34203 2310 235 45 — — — — — —
202527 AAA RAW2 teams — 222162 25410 344415 130 154347191539 37205 2015 268 45 — — — — — —
202628 AAA MLE2 teams — 279242 55540 26709 213 227325281606 54318 259 273 71 — — — — — —
202628 AAA RAW2 teams — 279229 59640 39589 213 258386319705 61343 2114 331 71 — — — — — —
202123 A+ MLEDayton Dragons — 414354 831030 4010017 3910 234341280621 45317 2410 283 78 — — — — — —
202224 AA MLEChattanooga Lookouts — 194165 39221 154912 163 236346291636 55317 258 284 78 — — — — — —
202325 AA MLE3 teams — 564471 13813107 639825 569 293407408815 115349 1711 365 133 — — — — — —
202426 AAA MLE3 teams — 317279 64732 257210 181 229320297618 68303 238 278 74 — — — — — —
202527 AAA MLE2 teams — 222183 26410 225215 130 142296175471 33189 2310 235 45 — — — — — —
202628 AAA MLE2 teams — 279242 55540 26709 213 227325281606 54307 259 273 71 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202426 AAA MLE3 teams — 317279 64732 257210 181 229320297618 68303 238 278 74 — — — — — —
202527 AAA MLE2 teams — 222183 26410 225215 130 142296175471 33189 2310 235 45 — — — — — —
202628 AAA MLE2 teams — 279242 55540 26709 213 227325281606 54307 259 273 71 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202729 MLB MLEMIL 10% 317273 54830 307611 154 198302250552 52269 249 262 64 -14 +1 +0 -3 +7 -0.3
▸ 2027 — real world (MLB)
202729 MLB CTXMIL 10% 1614 2000 141 10 195300245545 50265 256 260 64 -1 +0 +0 -0 +0 -0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202830 MLB MLEMIL 27% 227196 39620 21558 93 197299249548 53267 249 260 62 -10 +1 -2 -2 +5 -0.9
202830 MLB CTXMIL 27% 6254 9100 6152 21 194297245541 51263 2410 258 62 -3 +0 -0 -1 +1 -0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 145120 20210 13397 41 167286200486 33244 279 245 84 -8 +0 -0 -6 +3 -1.2
/ 162G— A+C — 650538 89940 5817531 184 165283197480 32243 279 245 84 -36 +2 -1 -29 +14 -5.2
Career— MLE — 23722006 470512610 227533101 17931 234342301643 66311 2210 293 84 -22 +2 -1 -10 +10 -2.2
/ 162G— MLE — 650550 1291473 6214628 498 235342302644 67311 2210 293 84 -31 +2 -2 -14 +14 -3.1

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 AAANashville Sounds · 179 PAwOBA .287 → .241 (−46)K% 23.5% → 28.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.46%÷1.000×1.200——28.16%
BB% (unintentional) /PA14.53%÷1.000×0.690—×0.9829.84%
HBP% /PA2.79%—×0.940—×0.9822.58%
Singles /BIP29.52%÷1.000×0.930×1.014×0.98227.35%
Doubles /BIP1.90%÷1.000×0.830×1.014×0.9821.57%
Triples /BIP0.00%÷1.000×0.970×1.014×0.9820.00%
Home runs /BIP0.00%÷1.000×0.700—×0.9820.00%

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 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.

Result: wOBA .287 → .241; ISO .014 → .011; BABIP .314 → .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).

2026 AABiloxi Shuckers · 100 PAwOBA .393 → .330 (−63)K% 16.0% → 19.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.00%÷1.000×1.220——19.52%
BB% (unintentional) /PA13.00%÷1.000×0.680—×0.9588.47%
HBP% /PA4.00%—×0.840—×0.9583.22%
Singles /BIP27.27%÷1.000×0.920×0.996×0.95823.95%
Doubles /BIP6.06%÷1.000×0.910×0.996×0.9585.26%
Triples /BIP6.06%÷1.000×0.880×0.996×0.9585.09%
Home runs /BIP0.00%÷1.000×0.800—×0.9580.00%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.

Result: wOBA .393 → .330; ISO .146 → .130; BABIP .388 → .338. 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 AAASugar Land Space Cowboys · 207 PAwOBA .273 → .237 (−36)K% 18.4% → 22.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.36%÷0.995×1.200——22.15%
BB% (unintentional) /PA15.94%÷1.056×0.690—×0.99210.34%
HBP% /PA6.28%—×0.940—×0.9925.86%
Singles /BIP16.96%÷1.012×0.930×1.001×0.99215.48%
Doubles /BIP3.57%÷0.891×0.830×1.001×0.9923.30%
Triples /BIP0.89%÷0.900×0.970×1.001×0.9920.96%
Home runs /BIP0.00%÷0.961×0.700—×0.9920.00%

Factors used: league row International League. Park (home-season share, regressed): HR 92, 1B 102, 2B 78, 3B 80, K 99, BB 111 — 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 ×1.001.

Result: wOBA .273 → .237; ISO .040 → .044; BABIP .207 → .191. 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 AAALouisville Bats · 234 PAwOBA .326 → .287 (−38)K% 18.4% → 22.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.38%÷0.999×1.200——22.08%
BB% (unintentional) /PA12.39%÷1.032×0.690—×1.0038.31%
HBP% /PA2.56%—×0.940—×1.0032.42%
Singles /BIP28.86%÷0.995×0.930×1.012×1.00327.40%
Doubles /BIP3.36%÷0.964×0.830×1.012×1.0032.93%
Triples /BIP1.34%÷1.150×0.970×1.012×1.0031.15%
Home runs /BIP1.34%÷1.111×0.700—×1.0030.85%

Factors used: league row International League. Park (home-season share, regressed): HR 122, 1B 99, 2B 93, 3B 130, K 100, BB 106 — 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 ×1.012.

Result: wOBA .326 → .287; ISO .078 → .064; BABIP .340 → .318. 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+Dayton Dragons · 15 PAwOBA .406 → .297 (−109)K% 13.3% → 16.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.33%÷1.006×1.270——16.83%
BB% (unintentional) /PA0.00%÷0.976×0.710—×0.9580.00%
HBP% /PA6.67%—×0.790—×0.9585.05%
Singles /BIP8.33%÷1.023×0.920—×0.9587.18%
Doubles /BIP16.67%÷0.941×0.810—×0.95813.74%
Triples /BIP0.00%÷1.030×0.850—×0.9580.00%
Home runs /BIP8.33%÷1.285×0.800—×0.9584.97%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 157, 1B 105, 2B 88, 3B 106, K 101, BB 95 — applied at half strength. Age: age 27 vs a level average of 22.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average).

Result: wOBA .406 → .297; ISO .357 → .240; BABIP .273 → .220. 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 AAChattanooga Lookouts · 318 PAwOBA .406 → .346 (−60)K% 15.4% → 19.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.41%÷0.961×1.220——19.57%
BB% (unintentional) /PA15.09%÷1.069×0.680—×0.9889.49%
HBP% /PA5.97%—×0.840—×0.9884.96%
Singles /BIP26.42%÷0.986×0.920×1.009×0.98824.58%
Doubles /BIP3.63%÷1.004×0.910×1.009×0.9883.28%
Triples /BIP5.18%÷1.150×0.880×1.009×0.9883.95%
Home runs /BIP3.11%÷1.017×0.800—×0.9882.42%

Factors used: league row SL. Park (home-season share, regressed): HR 103, 1B 97, 2B 101, 3B 130, K 92, BB 114 — 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 ×1.009.

Result: wOBA .406 → .346; ISO .186 → .160; BABIP .360 → .323. 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 AAALouisville Bats · 137 PAwOBA .448 → .408 (−41)K% 10.2% → 12.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.22%÷1.004×1.200——12.21%
BB% (unintentional) /PA21.17%÷0.993×0.690—×1.01814.97%
HBP% /PA3.65%—×0.940—×1.0183.49%
Singles /BIP39.53%÷0.998×0.930×0.990×1.01837.14%
Doubles /BIP4.65%÷0.938×0.830×0.990×1.0184.15%
Triples /BIP0.00%÷1.042×0.970×0.990×1.0180.00%
Home runs /BIP1.16%÷1.054×0.700—×1.0180.79%

Factors used: league row International League. Park (home-season share, regressed): HR 111, 1B 100, 2B 88, 3B 108, K 101, BB 99 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .448 → .408; ISO .070 → .062; BABIP .437 → .408. 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 AAChattanooga Lookouts · 194 PAwOBA .322 → .284 (−37)K% 21.1% → 25.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.13%÷1.010×1.220——25.53%
BB% (unintentional) /PA11.86%÷1.019×0.680—×0.9987.89%
HBP% /PA6.19%—×0.840—×0.9985.19%
Singles /BIP29.57%÷1.002×0.920×1.050×0.99828.44%
Doubles /BIP1.74%÷1.084×0.910×1.050×0.9981.53%
Triples /BIP1.74%÷0.912×0.880×1.050×0.9981.76%
Home runs /BIP0.87%÷0.990×0.800—×0.9980.70%

Factors used: league row SL. Park (home-season share, regressed): HR 98, 1B 100, 2B 117, 3B 82, K 102, 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 ×1.050.

Result: wOBA .322 → .284; ISO .058 → .055; BABIP .330 → .317. 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 — .