Rixon Wingrove

Pos1B
B/TL/R
Born2000-05-23
Age (2027)27
No MLB projection yet. Career stats below are historical.
Overview
INTLPROSPECT
MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202323AA/A+/INTL2 orgs630.249/.338/.42120877—.188/.255/.336
202424A+/A/INTL2 orgs423.252/.341/.45317180—.181/.259/.337
202525INTLBrisbane Band…162.292/.386/.51876149—
Contract
No contract data on file.
Skills · percentileMiLB Statcast 2024 A+
ISO94
K%74
wRC+72
wOBA71
Z-Con%51
Whiff%40

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)
201818 ROKGCL Phillies West — 8779 19501 8220 11 241310342652 101321 259 297 25 — — — — — —
201818 INTLSydney Blue Sox — 1615 4001 130 00 267312467779 200273 196 343 118 — — — — — —
201919 ROKGCL Phillies West — 203178 531725 22381 02 298378500878 202350 1911 383 63 — — — — — —
201919 INTLAdelaide Giants — 130112 26403 16390 21 232328348676 116324 3012 306 93 — — — — — —
202020 INTLAdelaide Giants — 7772 18407 3301 00 250289597887 347306 394 375 140 — — — — — —
202121 AClearwater Threshers — 321287 5913111 25987 10 206285373658 167267 318 295 32 — — — — — —
202121 ROKFCL Phillies — 2519 3000 561 10 158360158518 231 2420 278 13 — — — — — —
202222 A+Jersey Shore BlueClaws — 252219 557212 26877 21 251349466815 215358 3510 362 70 — — — — — —
202222 AClearwater Threshers — 3127 3100 3131 00 111226148374 37214 4210 191 -27 — — — — — —
202222 INTLAdelaide Giants — 135122 341215 10332 30 279343516860 238341 247 373 139 — — — — — —
202323 AAReading Fightin Phils — 5547 6001 7190 00 128241191432 64179 3513 209 1 — — — — — —
202323 A+Jersey Shore BlueClaws — 418366 9020215 411239 63 246337434771 189326 2910 343 65 — — — — — —
202323 INTLAdelaide Giants — 157138 411104 15272 20 297374464838 167339 1710 369 136 — — — — — —
202424 A+Cedar Rapids Kernels — 8476 17205 7171 00 224298447745 224222 208 329 41 — — — — — —
202424 AFort Myers Mighty Mussels — 187159 421118 24403 01 264371497868 233304 2113 381 78 — — — — — —
202424 INTLAdelaide Giants — 152134 34804 15200 10 254329403732 149265 1310 322 104 — — — — — —
202525 INTLBrisbane Bandits — 162137 401007 18303 61 292386518904 226317 1911 389 149 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201818 ROK MLEGCL Phillies West — 8782 14301 5320 11 171218244462 73269 376 205 25 — — — — — —
201919 ROK MLEGCL Phillies West — 203186 381114 14551 02 204264339602 134260 277 262 63 — — — — — —
202121 A MLEClearwater Threshers — 321294 451018 181347 10 153219276495 122237 426 216 32 — — — — — —
202121 ROK MLEFCL Phillies — 2521 2000 391 10 9524095335 186 3612 187 13 — — — — — —
202222 A+ MLEJersey Shore BlueClaws — 252230 445211 151117 21 191262374636 183303 446 272 70 — — — — — —
202222 A MLEClearwater Threshers — 3128 2100 2181 00 71161107268 36191 586 128 -27 — — — — — —
202323 AA MLEReading Fightin Phils — 5549 6001 5230 00 122204184387 61173 429 169 1 — — — — — —
202323 A+ MLEJersey Shore BlueClaws — 418382 7515214 251629 63 196262356618 160285 396 265 65 — — — — — —
202424 A+ MLECedar Rapids Kernels — 8478 12103 5221 00 154214282496 128183 266 229 41 — — — — — —
202424 A MLEFort Myers Mighty Mussels — 187166 32816 17553 01 193280361641 169246 299 283 78 — — — — — —
201818 ROK MLE2 teams — 10397 17401 6370 11 175223247471 72271 366 205 25 — — — — — —
201818 ROK RAW2 teams — 10394 23502 9250 11 245311362672 117313 249 304 25 — — — — — —
201919 ROK MLE2 teams — 333305 621826 23901 23 203261334596 131264 277 262 63 — — — — — —
201919 ROK RAW2 teams — 333290 792128 38771 23 272359441800 169341 2311 353 63 — — — — — —
202020 INTL MLEAdelaide Giants — 7772 18407 3301 00 250289597887 347306 394 — — — — — — — —
202020 INTL RAWAdelaide Giants — 7772 18407 3301 00 250289597887 347306 394 375 140 — — — — — —
202121 A MLE2 teams — 346315 481018 211438 20 152224267491 114241 416 214 31 — — — — — —
202121 A RAW2 teams — 346306 6213111 301048 20 203291359650 157264 309 293 31 — — — — — —
202222 A+ MLE3 teams — 418382 678216 2519110 51 175245332577 157290 466 256 60 — — — — — —
202222 A+ RAW3 teams — 418368 9220317 3913310 51 250338459797 209342 329 353 60 — — — — — —
202323 A+ MLE3 teams — 630574 10619220 4024711 83 185251329580 145276 396 254 58 — — — — — —
202323 A+ RAW3 teams — 630551 13731220 6316911 83 249338421759 172319 2710 338 58 — — — — — —
202424 A MLE3 teams — 423382 7115115 331204 11 186258348606 162223 288 266 66 — — — — — —
202424 A RAW3 teams — 423369 9321117 46774 11 252341453794 201272 1811 350 66 — — — — — —
202525 INTL MLEBrisbane Bandits — 162137 401007 18303 61 292386518904 226317 1911 — — — — — — — —
202525 INTL RAWBrisbane Bandits — 162137 401007 18303 61 292386518904 226317 1911 389 149 — — — — — —
201818 ROK MLE2 teams — 10396 17401 6370 11 177223250473 73269 366 205 25 — — — — — —
201919 ROK MLE2 teams — 333306 621826 23901 23 203261333595 131260 277 262 63 — — — — — —
202121 A MLE2 teams — 346314 481018 211438 20 153224268491 115233 416 214 31 — — — — — —
202222 A+ MLE3 teams — 418380 678216 2519110 51 176245334579 158291 466 256 60 — — — — — —
202323 A+ MLE3 teams — 630574 10619220 4024711 83 185251329580 145272 396 254 58 — — — — — —
202424 A MLE3 teams — 423383 7115115 331204 11 185258347605 162226 288 266 66 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202424 A MLE3 teams — 423383 7115115 331204 11 185258347605 162226 288 266 66 — — — — — —
▸ Career Totals
Career— MLE — 24922264 42988880 16988838 2510 189257341599 152265 367 226 39 -182 +1 +0 -45 +54 -17.5
/ 162G— MLE — 650591 11223221 4423210 73 190257342599 152265 367 226 39 -47 +0 +0 -12 +14 -4.6

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.

2024 AFort Myers Mighty Mussels · 187 PAwOBA .373 → .283 (−90)K% 21.4% → 29.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.39%÷0.994×1.360——29.27%
BB% (unintentional) /PA12.83%÷0.976×0.690—×0.9808.89%
HBP% /PA1.60%—×0.780—×0.9801.23%
Singles /BIP18.49%÷1.096×0.920×1.004×0.98015.27%
Doubles /BIP9.24%÷1.019×0.830×1.004×0.9807.41%
Triples /BIP0.84%÷0.962×0.910×1.004×0.9800.78%
Home runs /BIP6.72%÷0.962×0.800—×0.9805.48%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 119, 2B 104, 3B 92, K 99, BB 95 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .373 → .283; ISO .233 → .181; BABIP .304 → .246. 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+Cedar Rapids Kernels · 84 PAwOBA .320 → .229 (−91)K% 20.2% → 26.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.24%÷0.972×1.270——26.44%
BB% (unintentional) /PA8.33%÷1.043×0.710—×0.9885.60%
HBP% /PA1.19%—×0.790—×0.9880.93%
Singles /BIP16.95%÷0.984×0.920×0.957×0.98814.98%
Doubles /BIP3.39%÷1.119×0.810×0.957×0.9882.32%
Triples /BIP0.00%÷1.146×0.850×0.957×0.9880.00%
Home runs /BIP8.47%÷1.191×0.800—×0.9885.62%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 138, 1B 97, 2B 124, 3B 129, K 94, BB 109 — 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 ×0.957.

Result: wOBA .320 → .229; ISO .224 → .142; BABIP .222 → .183. 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 A+Jersey Shore BlueClaws · 418 PAwOBA .335 → .265 (−71)K% 29.4% → 38.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.43%÷0.993×1.310——38.81%
BB% (unintentional) /PA9.81%÷0.973×0.600—×0.9986.04%
HBP% /PA2.15%—×0.770—×0.9981.65%
Singles /BIP21.81%÷1.006×0.870×1.050×0.99819.77%
Doubles /BIP8.23%÷1.034×0.780×1.050×0.9986.51%
Triples /BIP0.82%÷1.071×0.850×1.050×0.9980.68%
Home runs /BIP6.17%÷0.858×0.880—×0.9986.32%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 72, 1B 101, 2B 107, 3B 114, K 99, BB 95 — 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 ×1.050.

Result: wOBA .335 → .265; ISO .189 → .164; BABIP .326 → .285. 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 AAReading Fightin Phils · 55 PAwOBA .208 → .169 (−39)K% 34.5% → 42.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA34.55%÷1.000×1.220——42.13%
BB% (unintentional) /PA12.73%÷0.975×0.700—×1.0279.38%
HBP% /PA0.00%—×0.850—×1.0270.00%
Singles /BIP17.86%÷1.017×0.970—×1.02717.50%
Doubles /BIP0.00%÷0.999×0.860—×1.0270.00%
Triples /BIP0.00%÷1.005×0.950—×1.0270.00%
Home runs /BIP3.57%÷1.050×0.780—×1.0272.72%

Factors used: league row EL. Park (home-season share, regressed): HR 110, 1B 103, 2B 100, 3B 101, K 100, BB 95 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .208 → .169; ISO .064 → .046; BABIP .179 → .173. 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+Jersey Shore BlueClaws · 252 PAwOBA .352 → .272 (−81)K% 34.5% → 44.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA34.52%÷1.022×1.310——44.23%
BB% (unintentional) /PA10.32%÷1.057×0.600—×1.0125.93%
HBP% /PA2.78%—×0.770—×1.0122.16%
Singles /BIP25.76%÷1.044×0.870×1.007×1.01221.88%
Doubles /BIP5.30%÷0.987×0.780×1.007×1.0124.27%
Triples /BIP1.52%÷0.966×0.850×1.007×1.0121.36%
Home runs /BIP9.09%÷0.881×0.880—×1.0129.19%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 76, 1B 109, 2B 97, 3B 93, K 104, BB 111 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .352 → .272; ISO .215 → .190; BABIP .358 → .303. 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 AClearwater Threshers · 31 PAwOBA .187 → .128 (−59)K% 41.9% → 57.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA41.94%÷1.000×1.360——57.03%
BB% (unintentional) /PA9.68%÷1.000×0.690——6.68%
HBP% /PA3.23%—×0.780——2.52%
Singles /BIP14.29%÷1.000×0.920——13.14%
Doubles /BIP7.14%÷1.000×0.830——5.93%
Triples /BIP0.00%÷1.000×0.910——0.00%
Home runs /BIP0.00%÷1.000×0.800——0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average).

Result: wOBA .187 → .128; ISO .037 → .023; BABIP .214 → .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).

2021 AClearwater Threshers · 321 PAwOBA .288 → .216 (−72)K% 30.5% → 41.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA30.53%÷0.992×1.360——41.87%
BB% (unintentional) /PA7.79%÷0.980×0.690—×1.0155.57%
HBP% /PA2.18%—×0.780—×1.0151.73%
Singles /BIP17.99%÷1.036×0.920×0.996×1.01516.15%
Doubles /BIP6.88%÷0.915×0.830×0.996×1.0156.30%
Triples /BIP0.53%÷1.150×0.910×0.996×1.0150.42%
Home runs /BIP5.82%÷0.993×0.800—×1.0154.76%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 107, 2B 83, 3B 130, K 98, BB 96 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.

Result: wOBA .288 → .216; ISO .167 → .122; BABIP .267 → .237. 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 ROKFCL Phillies · 25 PAwOBA .272 → .187 (−85)K% 24.0% → 34.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA24.00%÷1.000×1.440——34.56%
BB% (unintentional) /PA20.00%÷1.000×0.620—×0.98512.21%
HBP% /PA4.00%—×0.720—×0.9852.84%
Singles /BIP23.08%÷1.000×0.820—×0.98518.64%
Doubles /BIP0.00%÷1.000×0.720—×0.9850.00%
Triples /BIP0.00%÷1.000×0.720—×0.9850.00%
Home runs /BIP0.00%÷1.000×0.780—×0.9850.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .272 → .187; ISO .000 → .000; BABIP .231 → .186. 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 — .