Jonny DeLuca

RF Tampa Bay Rays
Age 29 R/R 5'10" / 195 lbs MLB HR -6%H +4% Svc 3.494 · Ctrl thru 2029
Overview
MLB40-MANArb-1FA 2030
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202426AAATB25.300/.440/.65021138—.238/.360/.429
202426MLBTB362.217/.278/.33161669-0.3
202527AAATB56.120/.214/.14000-14—.115/.179/.135
202527MLBTB59.333/.356/.456061170.5
202628MLBTB370.266/.300/.42911171030.6
2027PROJ29MLBTB240.236/.287/.367515820.2
2028PROJ82% MLB30MLBTB203.234/.283/.36041179-0.2
Last 3 seasons WAR 0.8  ·  Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2029Service3.494First FA2030
2027Arb-1$1M2028Arb-2$1M2029Ext$3M
Skills · percentileStatcast 2024-2026
Speed90
Bat Spd74
xwOBA16
Barrel%15
Avg EV10
Form.231/.279/.374 · rolling true talent (60d window) · proj .234/.283/.368
CompsJorge Mateo (age 29) · Dairon Blanco (age 29) · Ben DeLuzio (age 28)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 8582vR 73
AVG/OBP/SLG.236 / .287 / .367
PA240
HR5
SB15
K%21
BB%6
BABIP280
ISO121
MLB%100%
Value2027 · WAR
BAT: -5.0 runs (wOBA-derived runs vs avg)-5BATRUN: +3.0 runs (SB/CS + UBR baserunning)+3RUNFLD: +1.7 runs (Defensive runs vs avg)+2FLDPOS: -2.6 runs (Positional adjustment)-3POSREP: +5.2 runs (Replacement-level credit)+5REPTotal WAR: +0.50+0.5WAR
0.00.51.00.50.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit+$2M ctrl surplus
Tools · Recent Form · Splits · ContractCON 45 / POW 40
Toolsscout grade · Statcast %ile · 2024-2026
CONTACT45
xAVG
270.232
POWER40
Barrel%
153.6
Avg EV
1085.2
Bat Spd
7473.9
EYE35
scouting grade only
SPEED60
Sprint
9029.4
Recent Formrolling true talent ⓘ
K%24%▼▼25% over 87 PA (60d) · proj 21%
BB%6%·6% over 87 PA (60d) · proj 6%
ISO.142·.160 over 81 AB (60d) · proj .133
HR/BB3.8%▲5.1% over 59 BBE (60d) · proj 3.2%
BABIP.279·.304 over 56 BIP (60d) · proj .277
SLASH.231/.279/.374·proj .234/.283/.368
Platoon Splits2024-2026 · 480 PA
vs LHP
vs RHP
Edge
PA
148
332
—
wRC+
83
84
—
wOBA
290
292
—
ISO
146
116
◀◀L
BABIP
276
299
▶R
K%
23.6%
19.6%
▶▶R
BB%
8.1%
4.8%
◀◀L
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Arb-1
MLB Debut   2023
Service   3.494 yrs.days
Team Control Through   2029
First FA Year   2030
YearStatusSalary Proj WAR Value Surplus
2027Arb-1$1M+0.5$2M+$1M
2028Arb-2$1M———
2029Extbeyond projection horizon · no WAR estimate
Totals $1M $1M +$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.

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)
201921 ROKAZL Dodgers Mota — 11499 27421 874 90 273351384735 111277 67 325 50 — — — — — —
202123 A+Great Lakes Loons — 182164 38627 15353 70 232308421728 189254 198 324 56 — — — — — —
202123 ARancho Cucamonga Quakes — 255223 6417315 31481 132 287376592968 305306 1912 418 97 — — — — — —
202224 AATulsa Drillers — 119104 31537 8173 50 298365606971 308293 147 404 125 — — — — — —
202224 A+Great Lakes Loons — 321277 6817218 37565 122 245345516861 271244 1712 374 79 — — — — — —
202325 MLBLos Angeles Dodgers — 4542 11102 380 10 262311429740 167281 187 328 109 +1 +0 +1 -4 +1 -0.2
202325 AAAOklahoma City Dodgers — 184157 481327 21294 30 306401548949 242333 1611 411 120 — — — — — —
202325 AATulsa Drillers — 142122 348010 14266 91 279380590970 311279 1810 421 109 — — — — — —
202426 MLBTampa Bay Rays — 362332 721246 24774 166 217278331609 114265 217 274 69 -13 +1 +6 -4 +8 -0.3
202426 AAADurham Bulls — 2520 6102 411 10 3004406501.090 350235 416 467 138 — — — — — —
202527 MLBTampa Bay Rays — 5957 19130 2130 60 333356456812 123432 223 358 117 +1 +1 +1 +0 +1 0.5
202527 AAADurham Bulls — 5650 6100 5111 00 120214140354 20154 209 179 -14 — — — — — —
202628 MLBTampa Bay Rays — 370350 9324011 17780 176 266300429728 163314 215 319 103 +1 +1 -0 -4 +8 0.6
202628 AAADurham Bulls — 1611 4100 421 00 3645624551.017 91444 1225 470 156 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 836781 19538719 461764 4012 250295389684 140300 216 303 91 -9 +3 +7 -12 +18 0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201921 ROK MLEAZL Dodgers Mota — 114102 21311 5104 90 206270284555 78206 94 242 50 — — — — — —
202123 A+ MLEGreat Lakes Loons — 182169 31516 10473 70 183242331573 148218 265 251 56 — — — — — —
202123 A MLERancho Cucamonga Quakes — 255233 5111312 21641 132 219286446733 227248 258 311 97 — — — — — —
202224 AA MLETulsa Drillers — 119106 29436 6213 50 274330538868 264271 185 353 125 — — — — — —
202224 A+ MLEGreat Lakes Loons — 321289 5413114 25695 122 187263384647 197194 218 285 79 — — — — — —
202325 MLB MLELos Angeles Dodgers — 4542 11102 380 10 262311429740 167281 187 330 109 +1 +0 +1 -4 +1 -0.2
202325 AAA MLEOklahoma City Dodgers — 184163 441225 15354 30 270346460806 190302 198 346 120 — — — — — —
202325 AA MLETulsa Drillers — 142126 28707 10316 91 222310444754 222243 227 330 109 — — — — — —
202426 MLB MLETampa Bay Rays — 362333 711246 23774 166 213272327600 114265 216 271 69 -13 +1 +6 -4 +8 -0.3
202426 AAA MLEDurham Bulls — 2521 5101 311 10 238360429789 190211 412 372 138 — — — — — —
202527 MLB MLETampa Bay Rays — 5957 19130 2130 60 333356456812 123432 223 342 117 +1 +1 +1 +0 +1 0.5
202527 AAA MLEDurham Bulls — 5652 6100 3121 00 115179135313 19143 215 147 -14 — — — — — —
202628 MLB MLETampa Bay Rays — 370350 9325011 17780 176 266300431731 166314 215 320 103 +1 +1 -0 -4 +8 0.6
202628 AAA MLEDurham Bulls — 1612 4100 321 00 333500417917 83399 1219 399 156 — — — — — —
201921 ROK MLEAZL Dodgers Mota — 114102 21311 5104 90 206270284555 78213 94 242 50 — — — — — —
201921 ROK RAWAZL Dodgers Mota — 11499 27421 874 90 273351384735 111277 67 325 50 — — — — — —
202123 A MLE2 teams — 437402 8316418 311114 202 206270400671 194238 257 286 80 — — — — — —
202123 A RAW2 teams — 437387 10223522 46834 202 264348519867 256284 1911 379 80 — — — — — —
202224 A+ MLE2 teams — 440395 8518420 31908 172 215286433719 218225 207 303 91 — — — — — —
202224 A+ RAW2 teams — 440381 9922525 45738 172 260350541891 281258 1710 382 91 — — — — — —
202325 AAA MLE3 teams — 371331 8420214 287410 131 254331453784 199286 208 338 115 — — — — — —
202325 AAA RAW3 teams — 371321 9322219 386310 131 290382548930 259307 1710 405 115 — — — — — —
202426 MLB MLE2 teams — 387354 771348 26785 176 218281345625 127257 207 277 74 -12 +1 +6 -4 +8 -0.1
202426 MLB RAW2 teams — 387352 781348 28785 176 222288349638 128263 207 287 74 -12 +1 +6 -4 +8 -0.1
202527 MLB MLE2 teams — 115109 24230 5251 60 220261294554 73286 224 247 53 -6 +1 +1 +0 +2 -0.2
202527 MLB RAW2 teams — 115107 25230 7241 60 234287308595 75301 216 271 53 -6 +1 +1 +0 +2 -0.2
202628 MLB MLE2 teams — 386362 9625011 20801 176 265305425731 160314 215 323 105 +2 +1 -0 -4 +8 0.8
202628 MLB RAW2 teams — 386361 9725011 21801 176 269311429740 161319 215 325 105 +2 +1 -0 -4 +8 0.8
201921 ROK MLEAZL Dodgers Mota — 114104 21311 5104 90 202270279549 77206 94 242 50 — — — — — —
202123 A MLE2 teams — 437399 8316418 311114 202 208270404674 195236 257 286 80 — — — — — —
202224 A+ MLE2 teams — 440398 8518420 31908 172 214286430715 216215 207 303 91 — — — — — —
202325 AAA MLE3 teams — 371330 8420214 287410 131 255331455785 200277 208 338 115 — — — — — —
202426 MLB MLE2 teams — 387353 771348 26785 176 218281346626 127262 207 277 74 — — — — — —
202527 MLB MLE2 teams — 115108 24230 5251 60 222261296557 74291 224 247 53 — — — — — —
202628 MLB MLE2 teams — 386362 9625011 20801 176 265305425731 160318 215 323 105 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202426 MLB MLE2 teams — 387353 771348 26785 176 218281346626 127262 207 277 74 — — — — — —
202527 MLB MLE2 teams — 115108 24230 5251 60 222261296557 74291 224 247 53 — — — — — —
202628 MLB MLE2 teams — 386362 9625011 20801 176 265305425731 160318 215 323 105 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202729 MLB MLETB 100% 323299 701427 19682 203 235285368653 133277 216 290 82 -7 +3 +2 -3 +7 0.5
▸ 2027 — real world (MLB)
202729 MLB CTXTB 100% 240223 521015 14501 152 236287367654 131280 216 291 82 -5 +2 +2 -3 +5 0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202830 MLB MLETB 82% 248230 531115 15531 132 232281360642 129276 216 285 79 -6 +2 -0 -3 +5 -0.2
202830 MLB CTXTB 82% 203188 44914 12431 112 234283360643 126279 216 286 79 -5 +1 -0 -2 +4 -0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 1039969 23947823 582195 5114 247293383676 136297 216 300 87 -14 +5 +7 -14 +23 0.6
/ 162G— A+C — 650606 14929514 361373 329 246291380671 134296 216 300 87 -9 +3 +4 -9 +14 0.4
Career— MLE — 27382508 5761192083 17557135 12721 230289392682 163264 216 297 87 -20 +7 +8 -17 +29 0.7
/ 162G— MLE — 650595 13728520 421368 305 230290395685 165265 216 297 87 -10 +4 +4 -8 +14 0.4

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.

2026 AAADurham Bulls · 16 PAwOBA .460 → .399 (−62)K% 12.5% → 15.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.50%÷1.000×1.200——15.00%
BB% (unintentional) /PA25.00%÷1.000×0.690—×0.99217.11%
HBP% /PA6.25%—×0.940—×0.9925.83%
Singles /BIP33.33%÷1.000×0.930—×0.99230.75%
Doubles /BIP11.11%÷1.000×0.830—×0.9929.15%
Triples /BIP0.00%÷1.000×0.970—×0.9920.00%
Home runs /BIP0.00%÷1.000×0.700—×0.9920.00%

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 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average).

Result: wOBA .460 → .399; ISO .091 → .083; BABIP .444 → .399. 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 AAADurham Bulls · 56 PAwOBA .175 → .147 (−28)K% 19.6% → 22.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.64%÷1.057×1.200——22.30%
BB% (unintentional) /PA8.93%÷1.030×0.690—×1.0036.00%
HBP% /PA1.79%—×0.940—×1.0031.68%
Singles /BIP12.82%÷0.956×0.930×0.966×1.00312.09%
Doubles /BIP2.56%÷0.940×0.830×0.966×1.0032.19%
Triples /BIP0.00%÷0.900×0.970×0.966×1.0030.00%
Home runs /BIP0.00%÷1.380×0.700—×1.0030.00%

Factors used: league row International League. Park (home-season share, regressed): HR 176, 1B 91, 2B 88, 3B 80, K 111, 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 ×0.966.

Result: wOBA .175 → .147; ISO .020 → .017; BABIP .154 → .143. 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 AAADurham Bulls · 25 PAwOBA .455 → .372 (−83)K% 4.0% → 4.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA4.00%÷1.014×1.200——4.73%
BB% (unintentional) /PA16.00%÷0.971×0.690—×1.01811.58%
HBP% /PA4.00%—×0.940—×1.0183.83%
Singles /BIP15.79%÷0.985×0.930—×1.01815.17%
Doubles /BIP5.26%÷0.994×0.830—×1.0184.47%
Triples /BIP0.00%÷0.900×0.970—×1.0180.00%
Home runs /BIP10.53%÷1.061×0.700—×1.0187.07%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 97, 2B 99, 3B 80, K 103, BB 94 — 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).

Result: wOBA .455 → .372; ISO .350 → .256; BABIP .235 → .211. 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 AAAOklahoma City Dodgers · 184 PAwOBA .403 → .346 (−57)K% 15.8% → 18.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.76%÷1.003×1.200——18.86%
BB% (unintentional) /PA10.87%÷0.976×0.690—×1.0337.94%
HBP% /PA2.17%—×0.940—×1.0332.11%
Singles /BIP20.31%÷1.021×0.930×1.004×1.03319.20%
Doubles /BIP10.16%÷0.983×0.830×1.004×1.0338.89%
Triples /BIP1.56%÷1.150×0.970×1.004×1.0331.37%
Home runs /BIP5.47%÷1.006×0.700—×1.0333.93%

Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 104, 2B 97, 3B 130, K 101, BB 95 — 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 ×1.004.

Result: wOBA .403 → .346; ISO .242 → .195; BABIP .333 → .302. 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 AATulsa Drillers · 142 PAwOBA .409 → .330 (−79)K% 18.3% → 21.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.31%÷1.023×1.220——21.83%
BB% (unintentional) /PA9.86%÷0.973×0.700—×0.9987.08%
HBP% /PA4.23%—×0.870—×0.9983.67%
Singles /BIP16.67%÷0.992×0.920×0.980×0.99815.12%
Doubles /BIP8.33%÷0.942×0.840×0.980×0.9987.27%
Triples /BIP0.00%÷0.900×0.940×0.980×0.9980.00%
Home runs /BIP10.42%÷1.083×0.800—×0.9987.68%

Factors used: league row TL. Park (home-season share, regressed): HR 117, 1B 98, 2B 88, 3B 80, K 105, BB 95 — 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 ×0.980.

Result: wOBA .409 → .330; ISO .311 → .238; BABIP .279 → .243. 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 A+Great Lakes Loons · 321 PAwOBA .364 → .285 (−79)K% 17.4% → 21.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.45%÷1.033×1.270——21.45%
BB% (unintentional) /PA10.90%÷0.980×0.710—×0.9887.80%
HBP% /PA1.56%—×0.790—×0.9881.22%
Singles /BIP14.03%÷1.026×0.920×0.950×0.98811.80%
Doubles /BIP7.69%÷0.985×0.810×0.950×0.9885.94%
Triples /BIP0.90%÷1.150×0.850×0.950×0.9880.63%
Home runs /BIP8.14%÷1.013×0.800—×0.9886.36%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 103, 1B 105, 2B 97, 3B 130, K 107, BB 96 — 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 .364 → .285; ISO .271 → .212; BABIP .244 → .194. 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 AATulsa Drillers · 119 PAwOBA .399 → .353 (−46)K% 14.3% → 17.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.29%÷0.971×1.220——17.95%
BB% (unintentional) /PA6.72%÷0.975×0.700—×1.0124.88%
HBP% /PA2.52%—×0.870—×1.0122.22%
Singles /BIP18.39%÷0.953×0.920×1.009×1.01218.13%
Doubles /BIP5.75%÷1.006×0.840×1.009×1.0124.90%
Triples /BIP3.45%÷1.150×0.940×1.009×1.0122.88%
Home runs /BIP8.05%÷0.993×0.800—×1.0126.56%

Factors used: league row TL. Park (home-season share, regressed): HR 99, 1B 91, 2B 101, 3B 130, K 94, BB 95 — 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 ×1.009.

Result: wOBA .399 → .353; ISO .308 → .260; BABIP .293 → .271. 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 ARancho Cucamonga Quakes · 255 PAwOBA .405 → .311 (−94)K% 18.8% → 25.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.82%÷1.015×1.360——25.22%
BB% (unintentional) /PA11.76%÷0.985×0.690—×0.9908.16%
HBP% /PA0.39%—×0.780—×0.9900.30%
Singles /BIP16.57%÷0.965×0.920×0.959×0.99014.99%
Doubles /BIP9.71%÷1.166×0.830×0.959×0.9906.56%
Triples /BIP1.71%÷0.960×0.910×0.959×0.9901.54%
Home runs /BIP8.57%÷0.965×0.800—×0.9907.04%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 93, 2B 133, 3B 92, K 103, BB 97 — 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 ×0.959.

Result: wOBA .405 → .311; ISO .305 → .233; BABIP .306 → .248. 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).