Nick Morabito

CF Syracuse Mets
Age 24 R/R 5'10" / 185 lbs AAA H -5% Svc 0.198 · Ctrl thru 2032
Overview
AAA40-MANROOKIEPre-ArbFA 2033
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202421A+/ANYM528.312/.402/.39845986—.269/.334/.338
202522AA/INTL2 orgs573.285/.363/.396765105—.272/.331/.372
202623AAANYM507.254/.352/.388134284—.237/.316/.342
202623MLBNYM46.195/.283/.24401610.0
2027PROJ30% MLB24MLBNYM63.236/.310/.33115880.2
2028PROJ52% MLB25MLBNYM268.237/.312/.340519910.8
2029PROJ62% MLB26MLBNYM312.237/.312/.344622920.9
Last 3 seasons WAR 0.0  ·  Next 3 projected WAR 1.8Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2032Service0.198First FA2033
2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Arb-1$4M2031Arb-2$7M2032Arb-3$7M
Skills · percentileMiLB Statcast 2026 AAA
Speed91
Whiff%82
Max EV76
Chase%74
Z-Con%70
K%59
Form.245/.318/.338 · rolling true talent (60d window) · proj .242/.314/.341
Career WAR0.0 WAR median (P10 -0.7 / P90 20, comp-based) · star 3% · didn't stick 73%
CompsVidal Bruján (age 24) · Cooper Bowman (age 24) · Johan Rojas (age 23)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†88
AVG/OBP/SLG.236 / .310 / .331
PA63
HR1
SB5
K%24
BB%8
BABIP300
ISO88
MLB%30%
Value2027 · WAR
BAT: -3.0 runs (wOBA-derived runs vs avg)-3BATRUN: +3.1 runs (SB/CS + UBR baserunning)+3RUNFLD: +0.6 runs (Defensive runs vs avg)+1FLDPOS: +0.7 runs (Positional adjustment)+1POSREP: +4.5 runs (Replacement-level credit)+5REPTotal WAR: +0.70+0.7WAR
0.00.51.00.20.80.90.90.80.427282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$12M ctrl surplus
Tools · Recent Form · Contract
ToolsStatcast %ile · 2026
CONTACT
xAVG
550.255
POWER
Avg EV
7090.5
SPEED
Sprint
9029.7
Recent Formrolling true talent ⓘ
K%23%▲21% over 34 PA (60d) · proj 24%
BB%8%·9% over 34 PA (60d) · proj 8%
ISO.094·.067 over 30 AB (60d) · proj .099
BABIP.311·.348 over 23 BIP (60d) · proj .310
SLASH.245/.318/.338·proj .242/.314/.341
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2026
Service   0.198 yrs.days
Team Control Through   2032
First FA Year   2033
YearStatusSalary Proj WAR Value Surplus
2027Pre-Arb$0.8M+0.2$0.8M+$0.1M
2028Pre-Arb$0.8M+0.8$3M+$2M
2029Pre-Arb$0.8M+0.9$3M+$2M
2030Arb-1$4M+0.9$3M+$0.0M (cut)
2031Arb-2$7M+0.8$2M+$0.0M (cut)
2032Arb-3$7M+0.4$1M+$0.0M (cut)
Totals $2M $13M +$5M

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)
202219 ROKFCL Mets — 2422 2100 2140 10 91167136303 45250 588 149 -80 — — — — — —
202320 ASt. Lucie Mets — 12098 28411 14276 103 286403378781 92380 2212 358 75 — — — — — —
202320 ROKFCL Mets — 135111 36521 20223 111 324440432873 108393 1615 394 74 — — — — — —
202421 A+Brooklyn Cyclones — 427377 1111533 42806 4811 294373374747 80366 1910 341 70 — — — — — —
202421 ASt. Lucie Mets — 10178 31221 18184 114 3975255131.038 115508 1818 464 155 — — — — — —
202522 AABinghamton Rumble Ponies — 492436 1192726 471155 4911 273350385735 112355 2310 331 96 — — — — — —
202522 INTLScottsdale Scorpions — 8169 25211 10151 163 362444464908 101453 1912 407 162 — — — — — —
202623 MLBNew York Mets — 4641 8200 3162 12 195283244527 49320 357 251 61 -2 -1 +0 +2 +1 0.0
202623 AAASyracuse Mets — 507425 10814213 5710611 424 254352388740 134307 2111 331 84 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 4641 8200 3162 12 195283244527 49320 357 251 56 -2 -1 +0 +2 +1 -0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202219 ROK MLEFCL Mets — 2423 0000 1210 10 4242 184 884 50 -80 — — — — — —
202320 A MLESt. Lucie Mets — 120103 23311 10396 103 223328301629 78338 328 279 75 — — — — — —
202320 ROK MLEFCL Mets — 135119 28411 12333 111 235321311632 76305 249 278 74 — — — — — —
202421 A+ MLEBrooklyn Cyclones — 427394 971232 261066 4811 246303307610 61329 256 272 70 — — — — — —
202421 A MLESt. Lucie Mets — 10185 31221 12254 114 365465471936 106487 2512 398 155 — — — — — —
202522 AA MLEBinghamton Rumble Ponies — 492449 1222625 351385 4911 272331372703 100376 287 310 96 — — — — — —
202623 MLB MLENew York Mets — 4641 8200 3162 12 195283244527 49320 357 258 61 -2 -1 +0 +2 +1 0.0
202623 AAA MLESyracuse Mets — 507448 10613210 4112711 424 237316342658 105301 258 292 84 — — — — — —
202219 ROK MLEFCL Mets — 2423 0000 1210 10 4242 884 50 -80 — — — — — —
202219 ROK RAWFCL Mets — 2422 2100 2140 10 91167136303 45250 588 149 -80 — — — — — —
202320 ROK MLE2 teams — 255222 50721 22729 214 225320288608 63325 289 278 75 — — — — — —
202320 ROK RAW2 teams — 255209 64932 34499 214 306423407830 100388 1913 377 75 — — — — — —
202421 A+ MLE2 teams — 528479 1281453 3813110 5915 267334336670 69361 257 296 87 — — — — — —
202421 A+ RAW2 teams — 528455 1421754 609810 5915 312402398800 86390 1911 364 87 — — — — — —
202522 AA MLE2 teams — 573523 1443136 411616 6514 275335380716 105384 287 310 96 — — — — — —
202522 AA RAW2 teams — 573505 1442937 571306 6514 285363396759 111369 2310 342 96 — — — — — —
202623 AAA MLE2 teams — 553489 11515210 4414313 436 235315335650 100310 268 289 82 — — — — — —
202623 AAA RAW2 teams — 553466 11616213 6012213 436 249346376722 127308 2211 324 82 — — — — — —
202219 ROK MLEFCL Mets — 2423 0000 1210 10 4242 184 884 50 -80 — — — — — —
202320 ROK MLE2 teams — 255222 50721 22729 214 225320288608 63321 289 278 75 — — — — — —
202421 A+ MLE2 teams — 528475 1281453 3813110 5915 269334339673 69359 257 296 87 — — — — — —
202522 AA MLE2 teams — 573521 1443136 411616 6514 276335382717 106376 287 310 96 — — — — — —
202623 AAA MLE2 teams — 553491 11515210 4414313 436 234315334649 100303 268 289 82 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202421 A+ MLE2 teams — 528475 1281453 3813110 5915 269334339673 69359 257 296 87 — — — — — —
202522 AA MLE2 teams — 573521 1443136 411616 6514 276335382717 106376 287 310 96 — — — — — —
202623 AAA MLE2 teams — 553491 11515210 4414313 436 234315334649 100303 268 289 82 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202724 MLB MLENYM 30% 380340 831326 30907 274 242316341657 98310 248 299 88 -5 +4 +1 +1 +8 0.7
▸ 2027 — real world (MLB)
202724 MLB CTXNYM 30% 6357 13201 5151 51 236310331642 96300 248 292 88 -1 +1 +0 +0 +1 0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202825 MLB MLENYM 52% 518462 1121729 4112210 376 244318349668 105309 248 302 91 -6 +5 +2 +2 +11 1.5
202926 MLB MLENYM 62% 504450 1101729 401189 366 244319353672 109308 238 304 92 -5 +5 +2 +2 +11 1.5
203027 MLB MLENYM 65% 490439 1071729 391169 346 243318354672 111307 248 304 92 -5 +4 +2 +2 +11 1.4
203128 MLB MLENYM 66% 476427 1031629 381138 305 242316352668 110305 248 302 91 -5 +4 +1 +2 +10 1.2
203229 MLB MLENYM 65% 333298 711116 27805 193 240314349663 109304 248 300 89 -4 +3 -0 +1 +7 0.7
203330 MLB MLENYM 65% 321287 691116 26785 163 237310341652 105302 248 295 86 -5 +2 -1 +1 +7 0.4
203431 MLB MLENYM 65% 302270 631015 24745 112 233306332638 99299 258 290 82 -6 +1 -2 +1 +7 0.1
202825 MLB CTXNYM 52% 268240 57815 21635 193 237312340652 103300 248 296 91 -3 +3 +1 +1 +6 0.8
202926 MLB CTXNYM 62% 312278 661016 25736 224 237312344656 107299 238 298 92 -3 +3 +1 +1 +7 0.9
203027 MLB CTXNYM 65% 317283 671016 25756 224 236312344656 108297 248 297 92 -3 +3 +1 +1 +7 0.9
203128 MLB CTXNYM 66% 316283 661016 25755 203 235310342652 108296 248 296 91 -4 +3 +1 +1 +7 0.8
203229 MLB CTXNYM 65% 218194 46714 18524 122 233307339647 107294 248 293 89 -3 +2 -0 +1 +5 0.4
203330 MLB CTXNYM 65% 209187 44714 17513 102 230304332636 102293 248 289 86 -3 +1 -0 +1 +5 0.3
203431 MLB CTXNYM 65% 195175 40613 15483 71 226299323622 97290 258 283 82 -4 +1 -1 +1 +4 0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 18811681 39460734 14945334 11321 234310339649 105299 248 293 87 -25 +14 +3 +9 +41 4.2
/ 162G— A+C — 650581 13621212 5115712 397 234309339648 105299 248 293 87 -9 +5 +1 +3 +14 1.4
Career— MLE — 50874557 11171732476 397127993 38772 245318344662 99322 258 298 87 -42 +26 +6 +13 +69 7.4
/ 162G— MLE — 650582 14322310 5116312 499 246319345665 100323 258 298 87 -9 +5 +1 +3 +14 1.5

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 AAASyracuse Mets · 507 PAwOBA .324 → .292 (−32)K% 20.9% → 25.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.91%÷1.000×1.200——25.09%
BB% (unintentional) /PA11.24%÷1.000×0.690—×1.0508.15%
HBP% /PA2.17%—×0.940—×1.0502.14%
Singles /BIP24.76%÷1.000×0.930×1.027×1.05024.84%
Doubles /BIP4.39%÷1.000×0.830×1.027×1.0503.93%
Triples /BIP0.63%÷1.000×0.970×1.027×1.0500.66%
Home runs /BIP4.08%÷1.000×0.700—×1.0503.00%

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 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .324 → .292; ISO .134 → .110; BABIP .307 → .301. 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 AABinghamton Rumble Ponies · 492 PAwOBA .325 → .310 (−14)K% 23.4% → 28.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.37%÷1.015×1.220——28.09%
BB% (unintentional) /PA9.55%÷0.983×0.700—×1.0427.09%
HBP% /PA1.02%—×0.850—×1.0420.90%
Singles /BIP26.17%÷0.982×0.970×1.050×1.04228.29%
Doubles /BIP8.41%÷0.941×0.860×1.050×1.0428.41%
Triples /BIP0.62%÷0.911×0.950×1.050×1.0420.71%
Home runs /BIP1.87%÷0.990×0.780—×1.0421.53%

Factors used: league row EL. Park (home-season share, regressed): HR 98, 1B 96, 2B 88, 3B 82, K 103, BB 97 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .325 → .310; ISO .112 → .104; BABIP .355 → .376. 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+Brooklyn Cyclones · 427 PAwOBA .332 → .272 (−61)K% 18.7% → 24.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.74%÷0.988×1.310——24.85%
BB% (unintentional) /PA9.60%÷0.973×0.600—×1.0276.08%
HBP% /PA1.41%—×0.770—×1.0271.11%
Singles /BIP30.30%÷1.032×0.870×1.050×1.02727.55%
Doubles /BIP5.05%÷1.005×0.780×1.050×1.0274.23%
Triples /BIP1.01%÷0.929×0.850×1.050×1.0271.00%
Home runs /BIP1.01%÷1.341×0.880—×1.0270.68%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 168, 1B 106, 2B 101, 3B 86, K 98, BB 95 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .332 → .272; ISO .080 → .064; BABIP .366 → .329. 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 ASt. Lucie Mets · 101 PAwOBA .454 → .398 (−56)K% 17.8% → 24.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.82%÷0.990×1.360——24.48%
BB% (unintentional) /PA17.82%÷1.030×0.690—×1.01512.12%
HBP% /PA3.96%—×0.780—×1.0153.14%
Singles /BIP43.33%÷0.957×0.920—×1.01542.26%
Doubles /BIP3.33%÷0.954×0.830—×1.0152.94%
Triples /BIP3.33%÷1.150×0.910—×1.0152.68%
Home runs /BIP1.67%÷0.826×0.800—×1.0151.64%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 65, 1B 91, 2B 91, 3B 130, K 98, BB 106 — 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).

Result: wOBA .454 → .398; ISO .115 → .103; BABIP .508 → .487. 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 ROKFCL Mets · 135 PAwOBA .388 → .278 (−109)K% 16.3% → 24.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.30%÷0.949×1.440——24.74%
BB% (unintentional) /PA14.81%÷1.004×0.620—×0.9959.10%
HBP% /PA2.22%—×0.720—×0.9951.59%
Singles /BIP31.46%÷1.046×0.820×1.007×0.99524.69%
Doubles /BIP5.62%÷0.953×0.720×1.007×0.9954.25%
Triples /BIP2.25%÷0.979×0.720×1.007×0.9951.66%
Home runs /BIP1.12%÷1.040×0.780—×0.9950.84%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 109, 2B 91, 3B 96, K 90, BB 101 — 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 ×1.007.

Result: wOBA .388 → .278; ISO .108 → .079; BABIP .393 → .305. 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 ASt. Lucie Mets · 120 PAwOBA .352 → .279 (−73)K% 22.5% → 32.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.50%÷0.947×1.360——32.32%
BB% (unintentional) /PA11.67%÷0.977×0.690—×1.0308.48%
HBP% /PA5.00%—×0.780—×1.0304.02%
Singles /BIP30.99%÷1.054×0.920×1.003×1.03027.93%
Doubles /BIP5.63%÷0.987×0.830×1.003×1.0304.89%
Triples /BIP1.41%÷1.150×0.910×1.003×1.0301.15%
Home runs /BIP1.41%÷1.274×0.800—×1.0300.91%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 155, 1B 111, 2B 97, 3B 130, K 89, BB 95 — 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 ×1.003.

Result: wOBA .352 → .279; ISO .092 → .067; BABIP .380 → .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).

2022 ROKFCL Mets · 24 PAwOBA .146 → .050 (−96)K% 58.3% → 87.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA58.33%÷0.964×1.440——87.10%
BB% (unintentional) /PA8.33%÷1.014×0.620—×1.0085.13%
HBP% /PA0.00%—×0.720—×1.0080.00%
Singles /BIP12.50%÷1.015×0.820—×1.00810.17%
Doubles /BIP12.50%÷1.103×0.720—×1.0088.22%
Triples /BIP0.00%÷1.012×0.720—×1.0080.00%
Home runs /BIP0.00%÷1.078×0.780—×1.0080.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 103, 2B 121, 3B 102, K 93, BB 103 — 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).

Result: wOBA .146 → .050; ISO .045 → .007; BABIP .250 → .184. 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 — .