Richie Shaffer

Pos1B
B/TR/R
Born1991-03-15
Age (2027)36
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2018
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201625AAATB496.227/.330/.36711449—.182/.255/.280
201625MLBTB54.250/.321/.43810111-0.9
201726AAACLE546.227/.339/.46430463—.176/.258/.332
201827AAA/AA2 orgs242.178/.253/.3741009—.111/.170/.217
201928No MLB games played
202029No MLB games played
202130No MLB games played
202231No MLB games played
202332No MLB games played
202433No MLB games played
202534No MLB games played
202635No MLB games played
Last 3 seasons WAR -0.9
Contract
No contract data on file.
Scouting grades · 20-80
Power52Speed46Eye57

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)
201221 INTLPhoenix Desert Dogs — 6154 14410 6191 00 259344370715 111400 3110 325 106 — — — — — —
201322 A+Charlotte Stone Crabs — 519469 11933111 351066 60 254314399712 145299 207 313 59 — — — — — —
201322 INTLSalt River Rafters — 6947 13400 17173 20 277493362854 85406 2525 396 154 — — — — — —
201423 AAMontgomery Biscuits — 490425 9428419 571175 50 221320440760 219258 2412 335 70 — — — — — —
201524 MLBTampa Bay Rays — 8874 14304 10323 01 189310392702 203256 3611 315 101 +0 -0 +0 -10 +2 -0.8
201524 AAADurham Bulls — 282244 6617119 31743 11 270360582942 311303 2611 401 109 — — — — — —
201524 AAMontgomery Biscuits — 175149 391007 23491 30 262364470834 208340 2813 366 84 — — — — — —
201625 MLBTampa Bay Rays — 5448 12601 5180 01 250321438758 188367 339 330 111 +1 -0 -0 -10 +1 -0.9
201625 AAADurham Bulls — 496428 9727011 651351 41 227330367697 140303 2713 317 49 — — — — — —
201726 AAAColumbus Clippers — 546463 10518130 6718812 40 227339464804 238302 3412 354 63 — — — — — —
201827 AAAColorado Springs Sky Sox — 183164 27806 18630 00 165247323570 159219 3410 257 -1 — — — — — —
201827 AABiloxi Shuckers — 5955 12314 3231 00 218271527798 309286 395 343 42 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 142122 26905 15503 02 213314410724 197304 3511 320 103 +0 -1 -0 -20 +3 -1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201322 A+ MLECharlotte Stone Crabs — 519479 9828110 251586 60 205253330583 125267 305 255 59 — — — — — —
201423 AA MLEMontgomery Biscuits — 490441 8324315 411385 50 188265358623 170231 288 271 70 — — — — — —
201524 MLB MLETampa Bay Rays — 8874 14304 10323 01 189310392702 203256 3611 317 101 +0 -0 +0 -10 +2 -0.8
201524 AAA MLEDurham Bulls — 282257 5914117 18873 11 230288490778 261260 316 329 109 — — — — — —
201524 AA MLEMontgomery Biscuits — 175156 34906 16601 30 218295391686 173300 349 292 84 — — — — — —
201625 MLB MLETampa Bay Rays — 5448 12601 5180 01 250321438758 188367 339 332 111 +1 -0 -0 -10 +1 -0.9
201625 AAA MLEDurham Bulls — 496450 822008 431631 41 182255280535 98261 339 241 49 — — — — — —
201726 AAA MLEColumbus Clippers — 546488 8614120 4222812 40 176258332590 156266 428 261 63 — — — — — —
201827 AAA MLEColorado Springs Sky Sox — 183169 17503 13880 00 101165183348 83180 487 167 -1 — — — — — —
201827 AA MLEBiloxi Shuckers — 5956 8212 2301 00 143186321508 179261 513 230 42 — — — — — —
201221 INTL MLEPhoenix Desert Dogs — 6154 14410 6191 00 259344370715 111400 3110 — — — — — — — —
201221 INTL RAWPhoenix Desert Dogs — 6154 14410 6191 00 259344370715 111400 3110 325 106 — — — — — —
201322 A+ MLE2 teams — 588540 11132111 281799 80 206256330586 124277 305 255 59 — — — — — —
201322 A+ RAW2 teams — 588516 13237111 521239 80 256334395730 140308 219 323 59 — — — — — —
201423 AA MLEMontgomery Biscuits — 490441 8324315 411385 50 188265358623 170234 288 271 70 — — — — — —
201423 AA RAWMontgomery Biscuits — 490425 9428419 571175 50 221320440760 219258 2412 335 70 — — — — — —
201524 AAA MLE3 teams — 545487 10626126 441797 42 218292435727 218278 338 315 99 — — — — — —
201524 AAA RAW3 teams — 545467 11930130 641557 42 255353516869 261309 2812 376 99 — — — — — —
201625 AAA MLE2 teams — 550498 942609 481811 42 189261295557 106273 339 250 55 — — — — — —
201625 AAA RAW2 teams — 550476 10933012 701531 42 229329374703 145309 2813 318 55 — — — — — —
201726 AAA MLEColumbus Clippers — 546488 8614120 4222812 40 176258332590 156272 428 261 63 — — — — — —
201726 AAA RAWColumbus Clippers — 546463 10518130 6718812 40 227339464804 238302 3412 354 63 — — — — — —
201827 AAA MLE2 teams — 242225 26716 151181 00 116174236410 120196 496 182 10 — — — — — —
201827 AAA RAW2 teams — 242219 3911110 21861 00 178253374628 196234 369 278 10 — — — — — —
201322 A+ MLE2 teams — 588546 11132111 281799 80 203256326583 123267 305 255 59 — — — — — —
201423 AA MLEMontgomery Biscuits — 490441 8324315 411385 50 188265358623 170231 288 271 70 — — — — — —
201524 AAA MLE3 teams — 545489 10626126 441797 42 217292434725 217272 338 315 99 — — — — — —
201625 AAA MLE2 teams — 550496 942609 481811 42 190261296558 107271 339 250 55 — — — — — —
201726 AAA MLEColumbus Clippers — 546487 8614120 4222812 40 177258333591 156266 428 261 63 — — — — — —
201827 AAA MLE2 teams — 242224 26716 151181 00 116174237411 121200 496 182 10 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 142122 26905 15503 02 213314410724 197304 3511 320 61 +0 -1 -0 -20 +3 -1.7
/ 162G— A+C — 650558 11941023 6922914 09 213315410726 197305 3511 320 61 +2 -4 -0 -90 +14 -7.9
Career— MLE — 30222733 520133887 224104236 254 190261340601 150266 347 258 61 +0 -1 -0 -20 +3 -1.7
/ 162G— MLE — 650588 11329219 482248 51 192263345608 153268 347 258 61 +2 -4 -0 -90 +14 -7.9

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.

2018 AAAColorado Springs Sky Sox · 183 PAwOBA .252 → .167 (−85)K% 34.4% → 48.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA34.43%÷0.925×1.290——48.00%
BB% (unintentional) /PA9.84%÷0.985×0.710—×1.0037.11%
HBP% /PA0.00%—×0.980—×1.0030.00%
Singles /BIP12.87%÷1.014×0.900×0.984×1.00311.28%
Doubles /BIP7.92%÷1.014×0.810×0.984×1.0036.25%
Triples /BIP0.00%÷1.150×0.810×0.984×1.0030.00%
Home runs /BIP5.94%÷1.124×0.780—×1.0034.13%

Factors used: league row PCL. Park (home-season share, regressed): HR 125, 1B 103, 2B 103, 3B 130, K 85, BB 97 — 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 ×0.984.

Result: wOBA .252 → .167; ISO .159 → .093; BABIP .219 → .180. 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).

2018 AABiloxi Shuckers · 59 PAwOBA .333 → .230 (−102)K% 39.0% → 51.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA38.98%÷0.933×1.220——50.97%
BB% (unintentional) /PA5.08%÷0.964×0.680—×0.9783.51%
HBP% /PA1.69%—×0.840—×0.9781.39%
Singles /BIP12.50%÷0.967×0.920—×0.97811.63%
Doubles /BIP9.38%÷0.918×0.910—×0.9789.09%
Triples /BIP3.12%÷0.900×0.880—×0.9782.99%
Home runs /BIP12.50%÷1.078×0.800—×0.9789.07%

Factors used: league row SL. Park (home-season share, regressed): HR 116, 1B 93, 2B 84, 3B 80, K 87, BB 93 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .333 → .230; ISO .309 → .200; BABIP .286 → .261. 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).

2017 AAAColumbus Clippers · 546 PAwOBA .345 → .261 (−85)K% 34.4% → 41.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA34.43%÷0.989×1.200——41.78%
BB% (unintentional) /PA11.90%÷1.089×0.690—×1.0187.68%
HBP% /PA2.20%—×0.940—×1.0182.10%
Singles /BIP20.36%÷0.945×0.930×0.950×1.01819.37%
Doubles /BIP6.55%÷1.018×0.830×0.950×1.0185.16%
Triples /BIP0.36%÷0.900×0.970×0.950×1.0180.38%
Home runs /BIP10.91%÷1.231×0.840—×1.0187.58%

Factors used: league row IL. Park (home-season share, regressed): HR 146, 1B 89, 2B 104, 3B 80, K 98, BB 118 — 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 ×0.950.

Result: wOBA .345 → .261; ISO .238 → .164; BABIP .302 → .266. 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).

2016 AAADurham Bulls · 496 PAwOBA .310 → .241 (−69)K% 27.2% → 32.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.22%÷0.994×1.200——32.87%
BB% (unintentional) /PA13.10%÷1.082×0.690—×1.0338.63%
HBP% /PA0.20%—×0.940—×1.0330.20%
Singles /BIP20.14%÷1.010×0.930×0.970×1.03318.57%
Doubles /BIP9.22%÷1.093×0.830×0.970×1.0337.01%
Triples /BIP0.00%÷0.900×0.970×0.970×1.0330.00%
Home runs /BIP3.75%÷1.167×0.840—×1.0332.79%

Factors used: league row IL. Park (home-season share, regressed): HR 133, 1B 102, 2B 119, 3B 80, K 99, BB 116 — 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 ×0.970.

Result: wOBA .310 → .241; ISO .140 → .104; BABIP .303 → .261. 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).

2015 AAADurham Bulls · 282 PAwOBA .392 → .329 (−63)K% 26.2% → 30.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.24%÷1.025×1.200——30.72%
BB% (unintentional) /PA9.93%÷1.148×0.690—×1.0486.25%
HBP% /PA1.06%—×0.940—×1.0481.05%
Singles /BIP17.06%÷1.025×0.930×0.962×1.04815.62%
Doubles /BIP10.00%÷1.062×0.830×0.962×1.0487.88%
Triples /BIP0.59%÷0.900×0.970×0.962×1.0480.64%
Home runs /BIP11.18%÷1.039×0.840—×1.0489.47%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 105, 2B 112, 3B 80, K 105, BB 130 — 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 ×0.962.

Result: wOBA .392 → .329; ISO .311 → .269; BABIP .303 → .260. 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).

2015 AAMontgomery Biscuits · 175 PAwOBA .359 → .292 (−67)K% 28.0% → 34.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.00%÷0.990×1.220——34.50%
BB% (unintentional) /PA13.14%÷0.987×0.680—×1.0129.16%
HBP% /PA0.57%—×0.840—×1.0120.49%
Singles /BIP22.00%÷1.005×0.920×0.950×1.01219.37%
Doubles /BIP10.00%÷0.953×0.910×0.950×1.0129.18%
Triples /BIP0.00%÷1.150×0.880×0.950×1.0120.00%
Home runs /BIP7.00%÷0.983×0.800—×1.0125.76%

Factors used: league row SL. Park (home-season share, regressed): HR 97, 1B 101, 2B 91, 3B 130, K 98, BB 97 — 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 ×0.950.

Result: wOBA .359 → .292; ISO .208 → .174; BABIP .340 → .300. 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 AAMontgomery Biscuits · 490 PAwOBA .327 → .271 (−56)K% 23.9% → 28.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.88%÷1.036×1.220——28.12%
BB% (unintentional) /PA11.43%÷0.945×0.680—×1.0278.45%
HBP% /PA1.02%—×0.840—×1.0270.88%
Singles /BIP13.96%÷0.967×0.920×0.974×1.02713.29%
Doubles /BIP9.09%÷1.057×0.910×0.974×1.0277.83%
Triples /BIP1.30%÷1.150×0.880×0.974×1.0270.99%
Home runs /BIP6.17%÷1.037×0.800—×1.0274.89%

Factors used: league row SL. Park (home-season share, regressed): HR 107, 1B 93, 2B 111, 3B 130, K 107, BB 89 — 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 ×0.974.

Result: wOBA .327 → .271; ISO .219 → .177; BABIP .258 → .231. 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 A+Charlotte Stone Crabs · 519 PAwOBA .309 → .255 (−54)K% 20.4% → 30.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.42%÷0.950×1.420——30.53%
BB% (unintentional) /PA6.36%÷1.010×0.750—×1.0124.78%
HBP% /PA1.16%—×0.930—×1.0121.09%
Singles /BIP20.39%÷1.009×0.920×0.950×1.01217.87%
Doubles /BIP9.09%÷0.983×0.960×0.950×1.0128.53%
Triples /BIP0.28%÷0.900×0.810×0.950×1.0120.24%
Home runs /BIP3.03%÷0.888×0.880—×1.0123.04%

Factors used: league row FSL. Park (home-season share, regressed): HR 78, 1B 102, 2B 97, 3B 80, K 90, BB 102 — 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 ×0.950.

Result: wOBA .309 → .255; ISO .145 → .128; BABIP .299 → .267. 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).