Julian Hernandez

C DSL Mets Orange
Age 21 R/R 6'0" / 180 lbs ROK H -5% Svc 0.0 · Ctrl thru 2038
Overview
ROKPROSPECTMiLBFA 2039
OGV OFP35OGV rank#1280ETA2029MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202317ROKDSL Mets Blue85.197/.376/.3792029—.111/.247/.208
202418ROKDSL Mets Blue52.237/.420/.3952251—.143/.280/.214
202519ROKDSL Mets Oran…15.250/.571/.25000105—.200/.429/.200
2027PROJMLE21MLBNYM125.214/.305/.29112730.0
2028PROJ34% MLB22MLBNYM24.211/.303/.29300760.0
2029PROJ50% MLB23MLBNYM76.214/.304/.30111790.1
Next 3 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2038Service0.0First FA2039
2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4
2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 22 proj PA
wRC+†73
AVG/OBP/SLG.212 / .303 / .288
PA22
HR0
K%27
BB%11
ISO77
MLB%0%
Value2027 · WAR
BAT: -0.7 runs (wOBA-derived runs vs avg)-1BATRUN: -0.0 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.4 runs (Positional adjustment)+0POSREP: +0.5 runs (Replacement-level credit)+0REPTotal WAR: +0.00+0.0WAR
0.00.51.00.10.30.40.50.50.40.20.10.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit+$16M ctrl surplus
Tools · Contract
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2033
Service   0 yrs (est)
Team Control Through   2038
First FA Year   2039
YearStatusSalary Proj WAR Value Surplus
2027MiLBstill in minors · estimated debut 2033
2028MiLBstill in minors · estimated debut 2033
2029MiLBstill in minors · estimated debut 2033
2030MiLBstill in minors · estimated debut 2033
2031MiLBstill in minors · estimated debut 2033
2032MiLBstill in minors · estimated debut 2033
2033Pre-Arb$0.9M+0.5$1M+$0.8M
2034Pre-Arb$1.0M+0.4$0.9M+$0.5M
2035Pre-Arb$1.0M+0.2$0.4M+$0.0M
2036Arb-1$0.8M+0.1$0.2M+$0.0M (cut)
2037Arb-2$0.4M———
2038Extbeyond projection horizon · no WAR estimate
Totals $3M $3M +$1M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
202317 ROKDSL Mets Blue — 8566 13412 17302 01 197376379755 182324 3520 349 29 — — — — — —
202418 ROKDSL Mets Blue — 5238 9002 11101 20 237420395815 158250 1921 364 51 — — — — — —
202519 ROKDSL Mets Orange — 158 2000 620 00 250571250821 286 1340 400 105 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202317 ROK MLEDSL Mets Blue — 8572 8211 11382 01 111247208455 97196 4513 211 29 — — — — — —
202418 ROK MLEDSL Mets Blue — 5242 6001 7131 20 143280214494 71159 2513 243 51 — — — — — —
202519 ROK MLEDSL Mets Orange — 1510 2000 430 00 200429200629 197 2027 324 105 — — — — — —
202317 ROK MLEDSL Mets Blue — 8572 8211 11382 01 111247208455 97212 4513 211 29 — — — — — —
202317 ROK RAWDSL Mets Blue — 8566 13412 17302 01 197376379755 182324 3520 349 29 — — — — — —
202418 ROK MLEDSL Mets Blue — 5242 6001 7131 20 143280214494 71167 2513 243 51 — — — — — —
202418 ROK RAWDSL Mets Blue — 5238 9002 11101 20 237420395815 158250 1921 364 51 — — — — — —
202519 ROK MLEDSL Mets Orange — 1510 2000 430 00 200429200629 250 2027 324 105 — — — — — —
202519 ROK RAWDSL Mets Orange — 158 2000 620 00 250571250821 286 1340 400 105 — — — — — —
202317 ROK MLEDSL Mets Blue — 8572 8211 11382 01 111247208455 97196 4513 211 29 — — — — — —
202418 ROK MLEDSL Mets Blue — 5244 6001 7131 20 136280205485 68159 2513 243 51 — — — — — —
202519 ROK MLEDSL Mets Orange — 1511 2000 430 00 182429182610 197 2027 324 105 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202418 ROK MLEDSL Mets Blue — 5244 6001 7131 20 136280205485 68159 2513 243 51 — — — — — —
202519 ROK MLEDSL Mets Orange — 1511 2000 430 00 182429182610 197 2027 324 105 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202721 MLB MLENYM 0% 125110 24311 13331 20 214305291597 77289 2610 276 73 -4 +0 +0 +2 +3 0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202822 MLB MLENYM 34% 7062 13201 7181 10 217308301609 84290 2610 281 76 -2 +0 +0 +1 +2 0.1
202923 MLB MLENYM 50% 153135 30412 16401 21 220310310619 90291 2610 285 79 -4 +0 +0 +3 +3 0.2
203024 MLB MLENYM 57% 235207 46614 24612 31 222311317628 95292 2610 288 81 -5 +0 +0 +4 +5 0.4
203125 MLB MLENYM 60% 305268 60825 31783 41 224312323635 100292 2610 291 83 -6 +0 +0 +5 +7 0.6
203226 MLB MLENYM 62% 352310 69926 36903 41 225312328641 104292 2610 292 84 -7 +0 +0 +6 +8 0.8
203327 MLB MLENYM 63% 375330 751027 38964 41 224311326637 102291 2610 291 83 -8 +0 +0 +7 +8 0.8
203428 MLB MLENYM 65% 383337 761027 39994 31 222309321630 99290 2610 288 81 -9 +0 -1 +7 +8 0.6
203529 MLB MLENYM 65% 381336 73926 39993 21 219306314620 95289 2610 284 79 -10 +0 -1 +7 +8 0.4
203630 MLB MLENYM 65% 374330 72926 38993 11 216303306608 90287 2610 280 75 -11 -0 -2 +7 +8 0.2
203731 MLB MLENYM 65% 344304 65825 34923 10 212298296593 84284 2710 274 71 -12 +0 -3 +6 +7 -0.1
202822 MLB CTXNYM 34% 2421 3000 360 00 211303293595 82282 2512 276 76 -1 +0 +0 +0 +1 0.0
202923 MLB CTXNYM 50% 7667 14201 8201 10 214304301606 88283 2611 279 79 -2 +0 +0 +1 +2 0.1
203024 MLB CTXNYM 57% 133117 25312 14341 20 216306309615 93284 2611 283 81 -3 +0 +0 +2 +3 0.3
203125 MLB CTXNYM 60% 184161 35413 19472 21 218306315622 98284 2610 285 83 -4 +0 +0 +3 +4 0.4
203226 MLB CTXNYM 62% 220193 42514 23562 31 219307320627 101283 2510 287 84 -4 +0 +0 +4 +5 0.5
203327 MLB CTXNYM 63% 238210 45614 24612 31 217306317623 100283 2610 285 83 -5 +0 +0 +4 +5 0.5
203428 MLB CTXNYM 65% 249220 47614 25642 21 216304312616 97282 2610 283 81 -6 +0 -0 +4 +5 0.4
203529 MLB CTXNYM 65% 248219 47614 25652 11 213301306607 93280 2610 279 79 -6 -0 -1 +4 +5 0.2
203630 MLB CTXNYM 65% 243214 45514 25642 10 210297298595 88278 2610 274 75 -7 +0 -1 +4 +5 0.1
203731 MLB CTXNYM 65% 224198 41513 22602 00 206292288580 82275 2710 268 71 -8 +0 -2 +4 +5 -0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 18391620 34442829 18847716 155 212300302602 90281 2610 280 78 -45 +1 -5 +33 +40 2.5
/ 162G— A+C — 650573 12215310 661696 52 213301302603 89282 2610 280 78 -16 +0 -2 +12 +14 0.9
Career— MLE — 31462763 598771751 32683230 279 216306312618 96288 2610 283 78 -73 +2 -7 +53 +65 4.1
/ 162G— MLE — 650571 12516411 671726 62 219307319626 100291 2610 283 78 -16 +0 -2 +12 +14 0.9

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.

2025 DSLDSL Mets Orange · 15 PAwOBA .421 → .324 (−97)K% 13.3% → 16.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.33%÷0.974×1.220——16.69%
BB% (unintentional) /PA40.00%÷0.971×0.700—×0.98528.41%
HBP% /PA0.00%—×0.700—×0.9850.00%
Singles /BIP33.33%÷1.012×0.680—×0.98522.05%
Doubles /BIP0.00%÷0.944×0.600—×0.9850.00%
Triples /BIP0.00%÷1.057×0.600—×0.9850.00%
Home runs /BIP0.00%÷0.873×0.470—×0.9850.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 75, 1B 102, 2B 89, 3B 111, K 95, BB 94 — applied at half strength. Age: age 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .421 → .324; ISO .000 → .000; BABIP .286 → .197. 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 DSLDSL Mets Blue · 52 PAwOBA .370 → .243 (−126)K% 19.2% → 24.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.23%÷0.964×1.220——24.34%
BB% (unintentional) /PA21.15%÷1.067×0.700—×0.99513.81%
HBP% /PA1.92%—×0.700—×0.9951.34%
Singles /BIP25.00%÷1.035×0.680—×0.99516.34%
Doubles /BIP0.00%÷1.001×0.600—×0.9950.00%
Triples /BIP0.00%÷0.900×0.600—×0.9950.00%
Home runs /BIP7.14%÷0.967×0.470—×0.9953.45%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 107, 2B 100, 3B 80, K 93, BB 113 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).

Result: wOBA .370 → .243; ISO .158 → .086; BABIP .250 → .159. 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 DSLDSL Mets Blue · 85 PAwOBA .341 → .211 (−130)K% 35.3% → 44.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA35.29%÷0.971×1.220——44.34%
BB% (unintentional) /PA20.00%÷1.049×0.700—×1.00813.45%
HBP% /PA2.35%—×0.700—×1.0081.66%
Singles /BIP16.67%÷1.074×0.680—×1.00810.63%
Doubles /BIP11.11%÷0.976×0.600—×1.0086.88%
Triples /BIP2.78%÷1.150×0.600—×1.0081.46%
Home runs /BIP5.56%÷0.868×0.470—×1.0083.03%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 74, 1B 115, 2B 95, 3B 130, K 94, BB 110 — 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).

Result: wOBA .341 → .211; ISO .182 → .099; BABIP .324 → .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).