Ryan Wheeler

Pos3B
B/TL/R
Born1988-07-10
Age (2027)39
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2015
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201325AAAColorado Spri…480.306/.356/.46312483—.255/.294/.378
201325MLBCOL42.220/.238/.2680036-1.5
201426AAALAA332.268/.322/.3616057—.232/.270/.297
201426MLBCOL64.232/.295/.3752073-0.1
201527AAAWSH130.258/.269/.3592054—.240/.246/.333
201628No MLB games played
201729No MLB games played
201830No MLB games played
201931No MLB games played
202032No MLB games played
202133No MLB games played
202234No MLB games played
202335No MLB games played
202436No MLB games played
202537No MLB games played
202638No MLB games played
Last 3 seasons WAR -1.6
Contract
No contract data on file.

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)
200921 ASouth Bend Silver Hawks — 3629 10111 542 01 3454725521.024 207375 1114 452 142 — — — — — —
201022 AAMobile BayBears — 7367 17303 5161 00 254315433748 179292 227 333 65 — — — — — —
201022 A+Visalia Rawhide — 506465 1322529 35985 31 284341404745 120343 197 334 79 — — — — — —
201123 AAMobile BayBears — 531480 14130216 451024 34 294359465824 171343 198 364 93 — — — — — —
201123 INTLSalt River Rafters — 115106 31900 7240 01 292336377714 85369 216 316 100 — — — — — —
201224 MLBArizona Diamondbacks — 119109 26611 9220 10 239297339636 101287 188 285 73 -4 +0 -1 +2 +3 -0.1
201224 AAAReno Aces — 399362 12727415 26672 31 351397572969 221388 177 414 121 — — — — — —
201325 MLBColorado Rockies — 4241 9200 1100 00 220238268506 49290 242 229 36 -3 +0 -3 -9 +1 -1.5
201325 AAAColorado Springs Sky Sox — 480438 13429212 31913 41 306356463819 158357 196 358 83 — — — — — —
201426 MLBColorado Rockies — 6456 13202 5120 00 232295375670 143244 198 287 73 -2 +0 -2 +1 +1 -0.1
201426 AAASalt Lake Bees — 332302 811006 23621 02 268322361683 93314 197 304 57 — — — — — —
201527 AAARochester Red Wings — 130128 33512 2280 00 258269359629 102316 222 279 54 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 225206 481013 15440 10 233285335620 102276 207 275 72 -7 +0 -6 -6 +5 -1.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200921 A MLESouth Bend Silver Hawks — 3631 10111 352 01 323417516933 194343 148 378 142 — — — — — —
201022 AA MLEMobile BayBears — 7368 15302 4201 00 221274353627 132276 275 264 65 — — — — — —
201022 A+ MLEVisalia Rawhide — 506477 1222128 231275 31 256297358656 103330 255 285 79 — — — — — —
201123 AA MLEMobile BayBears — 531497 12828212 281254 34 258302394697 137317 245 305 93 — — — — — —
201224 MLB MLEArizona Diamondbacks — 119109 25511 9220 10 229288321609 92287 188 276 73 -4 +0 -1 +2 +3 -0.1
201224 AAA MLEReno Aces — 399371 11220412 17912 31 302336474810 173349 234 347 121 — — — — — —
201325 MLB MLEColorado Rockies — 4241 9200 1100 00 220238268506 49290 242 222 36 -3 +0 -3 -9 +1 -1.5
201325 AAA MLEColorado Springs Sky Sox — 480447 1142429 221253 41 255294378673 123320 265 291 83 — — — — — —
201426 MLB MLEColorado Rockies — 6456 13202 5120 00 232295375670 143244 198 276 73 -2 +0 -2 +1 +1 -0.1
201426 AAA MLESalt Lake Bees — 332310 72804 15811 02 232270297567 65289 245 253 57 — — — — — —
201527 AAA MLERochester Red Wings — 130129 31412 1330 00 240246333579 93308 251 248 54 — — — — — —
200921 A MLESouth Bend Silver Hawks — 3631 10111 352 01 323417516933 194360 148 378 142 — — — — — —
200921 A RAWSouth Bend Silver Hawks — 3629 10111 542 01 3454725521.024 207375 1114 452 142 — — — — — —
201022 A+ MLE2 teams — 579545 13724210 271476 31 251294358652 106326 255 282 77 — — — — — —
201022 A+ RAW2 teams — 579532 14928212 401146 31 280337408745 128337 207 334 77 — — — — — —
201123 AA MLE2 teams — 646604 15534215 341524 35 257301394695 137317 245 305 93 — — — — — —
201123 AA RAW2 teams — 646586 17239216 521264 35 294355449804 155348 208 356 93 — — — — — —
201224 AAA MLE2 teams — 518480 13725513 261132 41 285325440764 154341 225 331 110 — — — — — —
201224 AAA RAW2 teams — 518471 15333516 35892 41 325374518892 193364 177 385 110 — — — — — —
201325 AAA MLE2 teams — 522488 1232629 231353 41 252290369659 117325 264 285 79 — — — — — —
201325 AAA RAW2 teams — 522479 14331212 321013 41 299346447793 148351 196 347 79 — — — — — —
201426 AAA MLE2 teams — 396366 851006 20931 02 232274309583 77287 235 257 60 — — — — — —
201426 AAA RAW2 teams — 396358 941208 28741 02 263318363681 101303 197 301 60 — — — — — —
201527 AAA MLERochester Red Wings — 130129 31412 1330 00 240246333579 93309 251 248 54 — — — — — —
201527 AAA RAWRochester Red Wings — 130128 33512 2280 00 258269359629 102316 222 279 54 — — — — — —
200921 A MLESouth Bend Silver Hawks — 3631 10111 352 01 323417516933 194343 148 378 142 — — — — — —
201022 A+ MLE2 teams — 579541 13724210 271476 31 253294360655 107323 255 282 77 — — — — — —
201123 AA MLE2 teams — 646603 15534215 341524 35 257301395695 138317 245 305 93 — — — — — —
201224 AAA MLE2 teams — 518485 13725513 261132 41 282325435760 153335 225 331 110 — — — — — —
201325 AAA MLE2 teams — 522491 1232629 231353 41 251290367656 116318 264 285 79 — — — — — —
201426 AAA MLE2 teams — 396372 851006 20931 02 228274304578 75282 235 257 60 — — — — — —
201527 AAA MLERochester Red Wings — 130128 31412 1330 00 242246336582 94308 251 248 54 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 225206 481013 15440 10 233285335620 102276 207 275 84 -7 +0 -6 -6 +5 -1.5
/ 162G— A+C — 650595 1392939 431270 30 234285338623 104276 207 275 84 -21 +1 -17 -17 +14 -4.2
Career— MLE — 28272643 6781241356 13467818 1411 257297377674 120321 245 293 84 -7 +0 -6 -6 +5 -1.5
/ 162G— MLE — 650608 15729313 311564 33 258299380679 122323 245 293 84 -21 +1 -17 -17 +14 -4.2

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.

2015 AAARochester Red Wings · 130 PAwOBA .271 → .248 (−23)K% 21.5% → 25.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.54%÷1.030×1.200——25.09%
BB% (unintentional) /PA1.54%÷0.980×0.690—×1.0031.09%
HBP% /PA0.00%—×0.940—×1.0030.00%
Singles /BIP25.00%÷0.979×0.930×1.042×1.00324.82%
Doubles /BIP5.00%÷0.987×0.830×1.042×1.0034.39%
Triples /BIP1.00%÷0.932×0.970×1.042×1.0031.09%
Home runs /BIP2.00%÷0.956×0.840—×1.0031.76%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 96, 2B 97, 3B 86, K 106, BB 96 — 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 ×1.042.

Result: wOBA .271 → .248; ISO .102 → .089; BABIP .316 → .308. 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).

2014 AAASalt Lake Bees · 332 PAwOBA .299 → .253 (−46)K% 18.7% → 24.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.67%÷0.986×1.290——24.44%
BB% (unintentional) /PA6.63%÷1.043×0.710—×1.0184.59%
HBP% /PA0.30%—×0.980—×1.0180.30%
Singles /BIP27.08%÷1.013×0.900×1.040×1.01825.49%
Doubles /BIP4.17%÷1.005×0.810×1.040×1.0183.56%
Triples /BIP0.00%÷0.958×0.810×1.040×1.0180.00%
Home runs /BIP2.50%÷1.139×0.780—×1.0181.74%

Factors used: league row PCL. Park (home-season share, regressed): HR 128, 1B 103, 2B 101, 3B 92, K 97, BB 109 — 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 ×1.040.

Result: wOBA .299 → .253; ISO .093 → .068; 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).

2013 AAAColorado Springs Sky Sox · 480 PAwOBA .352 → .291 (−61)K% 19.0% → 26.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.96%÷0.941×1.290——26.00%
BB% (unintentional) /PA6.25%÷1.000×0.710—×1.0334.58%
HBP% /PA0.62%—×0.980—×1.0330.63%
Singles /BIP26.22%÷1.031×0.900×1.014×1.03323.97%
Doubles /BIP8.36%÷0.967×0.810×1.014×1.0337.33%
Triples /BIP0.58%÷1.071×0.810×1.014×1.0330.46%
Home runs /BIP3.46%÷1.022×0.780—×1.0332.73%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 106, 2B 93, 3B 114, K 88, BB 100 — 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 ×1.014.

Result: wOBA .352 → .291; ISO .158 → .124; BABIP .357 → .320. 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).

2012 AAAReno Aces · 399 PAwOBA .410 → .347 (−63)K% 16.8% → 22.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.79%÷0.956×1.290——22.67%
BB% (unintentional) /PA6.02%÷1.042×0.710—×1.0484.29%
HBP% /PA0.50%—×0.980—×1.0480.51%
Singles /BIP27.46%÷0.989×0.900×1.005×1.04826.34%
Doubles /BIP9.15%÷1.130×0.810×1.005×1.0486.91%
Triples /BIP1.36%÷0.900×0.810×1.005×1.0481.29%
Home runs /BIP5.08%÷1.021×0.780—×1.0484.07%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 98, 2B 126, 3B 80, K 91, BB 108 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .410 → .347; ISO .221 → .173; BABIP .388 → .349. 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).

2011 AAMobile BayBears · 531 PAwOBA .352 → .305 (−46)K% 19.2% → 23.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.21%÷0.996×1.220——23.52%
BB% (unintentional) /PA7.16%÷0.938×0.680—×1.0275.33%
HBP% /PA0.75%—×0.840—×1.0270.65%
Singles /BIP24.60%÷1.039×0.920×1.021×1.02722.84%
Doubles /BIP7.94%÷1.012×0.910×1.021×1.0277.48%
Triples /BIP0.53%÷0.900×0.880×1.021×1.0270.54%
Home runs /BIP4.23%÷1.088×0.800—×1.0273.20%

Factors used: league row SL. Park (home-season share, regressed): HR 118, 1B 108, 2B 102, 3B 80, K 99, BB 88 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .352 → .305; ISO .171 → .142; BABIP .343 → .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).

2010 A+Visalia Rawhide · 506 PAwOBA .324 → .285 (−39)K% 19.4% → 25.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.37%÷1.035×1.340——25.09%
BB% (unintentional) /PA6.52%÷1.025×0.710—×1.0124.57%
HBP% /PA0.99%—×0.790—×1.0120.79%
Singles /BIP26.16%÷0.978×0.910×1.050×1.01225.86%
Doubles /BIP6.81%÷0.996×0.820×1.050×1.0125.96%
Triples /BIP0.54%÷0.904×0.760×1.050×1.0120.49%
Home runs /BIP2.45%÷1.015×0.920—×1.0122.25%

Factors used: league row CAL. Park (home-season share, regressed): HR 103, 1B 96, 2B 99, 3B 81, K 107, BB 105 — 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 ×1.050.

Result: wOBA .324 → .285; ISO .120 → .104; BABIP .343 → .330. 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).

2010 AAMobile BayBears · 73 PAwOBA .323 → .264 (−59)K% 21.9% → 26.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.92%÷0.994×1.220——26.89%
BB% (unintentional) /PA6.85%÷1.003×0.680—×1.0424.84%
HBP% /PA1.37%—×0.840—×1.0421.20%
Singles /BIP21.57%÷0.984×0.920×0.989×1.04220.78%
Doubles /BIP5.88%÷0.965×0.910×0.989×1.0425.71%
Triples /BIP0.00%÷0.918×0.880×0.989×1.0420.00%
Home runs /BIP5.88%÷1.266×0.800—×1.0423.87%

Factors used: league row SL. Park (home-season share, regressed): HR 153, 1B 97, 2B 93, 3B 84, K 99, BB 101 — 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 ×0.989.

Result: wOBA .323 → .264; ISO .179 → .127; BABIP .292 → .276. 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).

2009 ASouth Bend Silver Hawks · 36 PAwOBA .441 → .378 (−62)K% 11.1% → 15.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.11%÷1.000×1.360——15.11%
BB% (unintentional) /PA13.89%÷1.000×0.690—×1.0159.73%
HBP% /PA5.56%—×0.780—×1.0154.40%
Singles /BIP28.00%÷1.000×0.920—×1.01526.15%
Doubles /BIP4.00%÷1.000×0.830—×1.0153.37%
Triples /BIP4.00%÷1.000×0.910—×1.0153.69%
Home runs /BIP4.00%÷1.000×0.800—×1.0153.25%

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 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average).

Result: wOBA .441 → .378; ISO .207 → .180; BABIP .375 → .343. 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 — .