Kevan Smith

PosC
B/TR/R
Born1988-06-28
Age (2027)39
No MLB projection yet. Career stats below are historical.
Overview
MLBLAST SEASON 2021
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
201931MLBLAA211.251/.319/.393521030.3
202032MLBTB38.258/.368/.452101330.3
202133MLBATL106.168/.245/.2000017-0.5
202234No MLB games played
202335No MLB games played
202436No MLB games played
202537No MLB games played
202638No MLB games played
Last 3 seasons WAR -0.0
Contract
No contract data on file.
Skills · percentileStatcast 2019-2021
xwOBA51
Avg EV42
Barrel%33
Speed10

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
201123 ROKGreat Falls Voyagers — 239203 722239 28307 22 3554506261.075 271382 1312 464 113 — — — — — —
201224 A+Winston-Salem Dash — 8677 21423 5171 00 273325494819 221300 206 345 81 — — — — — —
201224 AKannapolis Intimidators — 379340 962607 25629 01 282348421768 138324 167 340 74 — — — — — —
201325 A+Winston-Salem Dash — 442384 11026312 386615 41 286373464837 177317 159 369 83 — — — — — —
201426 AABirmingham Barons — 449389 11321310 46689 11 290378437815 147328 1510 363 99 — — — — — —
201426 INTLGlendale Desert Dogs — 5045 11410 392 00 244320378698 133306 186 315 99 — — — — — —
201527 AAACharlotte Knights — 361319 831326 29665 01 260331370700 110309 188 311 68 — — — — — —
201628 MLBChicago White Sox — 1616 2000 060 00 125125125250 200 380 113 -37 -3 +0 +1 +4 +0 0.2
201628 AAACharlotte Knights — 205183 40908 16363 00 219292399691 180229 188 304 64 — — — — — —
201729 MLBChicago White Sox — 294276 781704 9463 00 283311388699 105323 163 307 93 -2 +0 +7 +6 +6 1.7
201729 AAACharlotte Knights — 6253 20600 691 00 377450491941 113435 1510 408 130 — — — — — —
201830 MLBChicago White Sox — 187171 50603 10185 10 292349380730 88311 105 330 109 +2 +0 -0 +6 +4 1.2
201830 AAACharlotte Knights — 124112 30404 8183 00 268333411744 143286 156 332 63 — — — — — —
201931 MLBLos Angeles Angels — 211191 481205 16373 20 251319393712 141287 188 319 103 +1 +0 -7 +4 +5 0.3
202032 MLBTampa Bay Rays — 3831 8301 5111 00 258368452820 194368 2913 363 133 +1 +0 -0 +1 +1 0.3
202133 MLBAtlanta Braves — 10695 16300 10310 00 168245200445 32250 299 213 17 -10 +0 +1 +2 +2 -0.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 852780 20241013 5014912 30 259312362674 103303 176 302 91 -10 +1 +1 +22 +18 3.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201123 ROK MLEGreat Falls Voyagers — 239215 571627 16437 22 265336456792 191297 187 335 113 — — — — — —
201224 A+ MLEWinston-Salem Dash — 8680 19323 2251 00 237265438703 200266 292 288 81 — — — — — —
201224 A MLEKannapolis Intimidators — 379350 842206 15839 01 240289354643 114288 224 278 74 — — — — — —
201325 A+ MLEWinston-Salem Dash — 442399 9520210 239515 41 238304373678 135279 215 291 83 — — — — — —
201426 AA MLEBirmingham Barons — 449409 1092238 26879 11 267324394718 127312 196 315 99 — — — — — —
201527 AAA MLECharlotte Knights — 361329 791124 20825 01 240294322616 82296 236 268 68 — — — — — —
201628 MLB MLEChicago White Sox — 1616 2000 060 00 125125125250 200 380 113 -37 -3 +0 +1 +4 +0 0.2
201628 AAA MLECharlotte Knights — 205188 37807 11413 00 197252351604 154210 205 263 64 — — — — — —
201729 MLB MLEChicago White Sox — 294277 781704 9463 00 282311386698 105323 163 306 93 -2 +0 +7 +6 +6 1.7
201729 AAA MLECharlotte Knights — 6255 18500 4111 00 327383418802 91386 186 360 130 — — — — — —
201830 MLB MLEChicago White Sox — 187171 50603 10185 10 292349380730 88311 105 329 109 +2 +0 -0 +6 +4 1.2
201830 AAA MLECharlotte Knights — 124115 25302 5223 00 217268296564 78251 184 262 63 — — — — — —
201931 MLB MLELos Angeles Angels — 211191 481205 16373 20 251319393712 141287 188 321 103 +1 +0 -7 +4 +5 0.3
202032 MLB MLETampa Bay Rays — 3832 8301 5111 00 250368438806 188368 2913 364 133 +1 +0 -0 +1 +1 0.3
202133 MLB MLEAtlanta Braves — 10699 16300 7310 00 162217192409 30250 297 193 17 -10 +0 +1 +2 +2 -0.5
201123 ROK MLEGreat Falls Voyagers — 239215 571627 16437 22 265336456792 191301 187 335 113 — — — — — —
201123 ROK RAWGreat Falls Voyagers — 239203 722239 28307 22 3554506261.075 271382 1312 464 113 — — — — — —
201224 A MLE2 teams — 465429 1032529 1810810 01 240287371657 131295 234 280 76 — — — — — —
201224 A RAW2 teams — 465417 11730210 307910 01 281344434778 153319 176 341 76 — — — — — —
201325 A+ MLEWinston-Salem Dash — 442399 9520210 239515 41 238304373678 135286 215 291 83 — — — — — —
201325 A+ RAWWinston-Salem Dash — 442384 11026312 386615 41 286373464837 177317 159 369 83 — — — — — —
201426 AA MLE2 teams — 499454 1212539 299611 11 267326394720 128318 196 315 99 — — — — — —
201426 AA RAW2 teams — 499434 12425410 497711 11 286372431803 145326 1510 358 99 — — — — — —
201527 AAA MLECharlotte Knights — 361329 791124 20825 01 240294322616 82306 236 268 68 — — — — — —
201527 AAA RAWCharlotte Knights — 361319 831326 29665 01 260331370700 110309 188 311 68 — — — — — —
201628 AAA MLE2 teams — 221204 39807 11473 00 191243333576 142212 215 252 57 — — — — — —
201628 AAA RAW2 teams — 221199 42908 16423 00 211280377657 166227 197 290 57 — — — — — —
201729 MLB MLE2 teams — 356332 962204 13574 00 289324392715 102333 164 315 99 -0 +0 +7 +6 +8 2.1
201729 MLB RAW2 teams — 356329 982304 15554 00 298335404739 106342 154 324 99 -0 +0 +7 +6 +8 2.1
201830 MLB MLE2 teams — 311286 75905 15408 10 262317346663 84288 135 302 91 -3 +0 -0 +6 +7 0.9
201830 MLB RAW2 teams — 311283 801007 18368 10 283343392735 110302 126 331 91 -3 +0 -0 +6 +7 0.9
201931 MLB MLELos Angeles Angels — 211191 481205 16373 20 251319393712 141287 188 321 103 +1 +0 -7 +4 +5 0.3
201931 MLB RAWLos Angeles Angels — 211191 481205 16373 20 251319393712 141287 188 319 103 +1 +0 -7 +4 +5 0.3
202032 MLB MLETampa Bay Rays — 3832 8301 5111 00 250368438806 188350 2913 364 133 +1 +0 -0 +1 +1 0.3
202032 MLB RAWTampa Bay Rays — 3831 8301 5111 00 258368452820 194368 2913 363 133 +1 +0 -0 +1 +1 0.3
202133 MLB MLEAtlanta Braves — 10699 16300 7310 00 162217192409 30235 297 193 17 -10 +0 +1 +2 +2 -0.5
202133 MLB RAWAtlanta Braves — 10695 16300 10310 00 168245200445 32250 299 213 17 -10 +0 +1 +2 +2 -0.5
201123 ROK MLEGreat Falls Voyagers — 239214 571627 16437 22 266336458794 192297 187 335 113 — — — — — —
201224 A MLE2 teams — 465434 1032529 1810810 01 237287366653 129284 234 280 76 — — — — — —
201325 A+ MLEWinston-Salem Dash — 442401 9520210 239515 41 237304372676 135279 215 291 83 — — — — — —
201426 AA MLE2 teams — 499456 1212539 299611 11 265326393718 127312 196 315 99 — — — — — —
201527 AAA MLECharlotte Knights — 361333 791124 20825 01 237294318612 81296 236 268 68 — — — — — —
201628 AAA MLE2 teams — 221205 39807 11473 00 190243332575 141209 215 252 57 — — — — — —
201729 MLB MLE2 teams — 356336 962204 13574 00 286324387711 101334 164 315 99 — — — — — —
201830 MLB MLE2 teams — 311285 75905 15408 10 263317347665 84287 135 302 91 — — — — — —
201931 MLB MLELos Angeles Angels — 211190 481205 16373 20 253319395714 142287 188 321 103 — — — — — —
202032 MLB MLETampa Bay Rays — 3832 8301 5111 00 250368438806 188368 2913 364 133 — — — — — —
202133 MLB MLEAtlanta Braves — 10698 16300 7310 00 163217194411 31250 297 193 17 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 852780 20241013 5014912 30 259312362674 103303 176 302 85 -10 +1 +1 +22 +18 3.3
/ 162G— A+C — 650595 15431010 381149 20 259312361673 103303 186 302 85 -7 +0 +1 +17 +14 2.5
Career— MLE — 32492970 7371541161 17364767 106 248304369673 121296 205 294 85 -10 +1 +1 +22 +18 3.3
/ 162G— MLE — 650594 14731212 3512913 21 247304367671 120295 205 294 85 -7 +0 +1 +17 +14 2.5

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.

2018 AAACharlotte Knights · 124 PAwOBA .326 → .262 (−64)K% 14.5% → 17.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.52%÷0.986×1.200——17.66%
BB% (unintentional) /PA6.45%÷1.030×0.690—×0.9724.20%
HBP% /PA2.42%—×0.940—×0.9722.21%
Singles /BIP23.40%÷1.030×0.930×1.043×0.97221.42%
Doubles /BIP4.26%÷1.077×0.830×1.043×0.9723.33%
Triples /BIP0.00%÷1.150×0.970×1.043×0.9720.00%
Home runs /BIP4.26%÷1.319×0.840—×0.9722.63%

Factors used: league row IL. Park (home-season share, regressed): HR 164, 1B 106, 2B 115, 3B 130, K 97, BB 106 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .326 → .262; ISO .143 → .094; BABIP .286 → .251. 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 AAACharlotte Knights · 62 PAwOBA .411 → .360 (−51)K% 14.5% → 18.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.52%÷0.952×1.200——18.30%
BB% (unintentional) /PA9.68%÷1.008×0.690—×0.9826.51%
HBP% /PA1.61%—×0.940—×0.9821.49%
Singles /BIP31.82%÷1.012×0.930—×0.98228.71%
Doubles /BIP13.64%÷0.958×0.830—×0.98211.61%
Triples /BIP0.00%÷1.077×0.970—×0.9820.00%
Home runs /BIP0.00%÷1.150×0.840—×0.9820.00%

Factors used: league row IL. Park (home-season share, regressed): HR 130, 1B 102, 2B 92, 3B 115, K 90, BB 102 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average).

Result: wOBA .411 → .360; ISO .113 → .100; BABIP .435 → .386. 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 AAACharlotte Knights · 205 PAwOBA .297 → .263 (−35)K% 17.6% → 20.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.56%÷1.053×1.200——20.02%
BB% (unintentional) /PA7.80%÷0.990×0.690—×0.9925.40%
HBP% /PA1.46%—×0.940—×0.9921.36%
Singles /BIP15.65%÷1.031×0.930×1.050×0.99214.69%
Doubles /BIP6.12%÷0.974×0.830×1.050×0.9925.43%
Triples /BIP0.00%÷0.926×0.970×1.050×0.9920.00%
Home runs /BIP5.44%÷0.950×0.840—×0.9924.77%

Factors used: league row IL. Park (home-season share, regressed): HR 90, 1B 106, 2B 95, 3B 85, K 111, BB 98 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .297 → .263; ISO .180 → .162; BABIP .229 → .210. 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 AAACharlotte Knights · 361 PAwOBA .305 → .268 (−37)K% 18.3% → 22.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.28%÷0.971×1.200——22.59%
BB% (unintentional) /PA8.03%÷1.017×0.690—×1.0035.47%
HBP% /PA1.39%—×0.940—×1.0031.31%
Singles /BIP24.51%÷0.973×0.930×1.033×1.00324.27%
Doubles /BIP5.14%÷0.993×0.830×1.033×1.0034.45%
Triples /BIP0.79%÷1.150×0.970×1.033×1.0030.69%
Home runs /BIP2.37%÷1.306×0.840—×1.0031.53%

Factors used: league row IL. Park (home-season share, regressed): HR 161, 1B 95, 2B 99, 3B 130, K 94, BB 103 — 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 ×1.033.

Result: wOBA .305 → .268; ISO .110 → .083; BABIP .309 → .296. 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 AABirmingham Barons · 449 PAwOBA .352 → .315 (−37)K% 15.1% → 19.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.14%÷0.955×1.220——19.35%
BB% (unintentional) /PA9.13%÷1.057×0.680—×0.9885.80%
HBP% /PA2.00%—×0.840—×0.9881.66%
Singles /BIP24.61%÷1.021×0.920×1.050×0.98823.00%
Doubles /BIP6.54%÷0.903×0.910×1.050×0.9886.84%
Triples /BIP0.93%÷1.065×0.880×1.050×0.9880.80%
Home runs /BIP3.12%÷0.967×0.800—×0.9882.55%

Factors used: league row SL. Park (home-season share, regressed): HR 93, 1B 104, 2B 81, 3B 113, K 91, BB 111 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .352 → .315; ISO .147 → .136; BABIP .328 → .312. 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+Winston-Salem Dash · 442 PAwOBA .362 → .291 (−71)K% 14.9% → 21.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.93%÷0.985×1.420——21.52%
BB% (unintentional) /PA8.60%÷1.001×0.630—×0.9785.29%
HBP% /PA3.39%—×0.860—×0.9782.85%
Singles /BIP21.70%÷1.040×0.940×1.050×0.97820.14%
Doubles /BIP8.18%÷1.077×0.830×1.050×0.9786.47%
Triples /BIP0.94%÷1.150×0.800×1.050×0.9780.67%
Home runs /BIP3.77%÷1.083×0.900—×0.9783.07%

Factors used: league row CAR. Park (home-season share, regressed): HR 117, 1B 108, 2B 115, 3B 130, K 97, BB 100 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .362 → .291; ISO .177 → .138; BABIP .317 → .279. 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 AKannapolis Intimidators · 379 PAwOBA .335 → .278 (−56)K% 16.4% → 21.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.36%÷1.002×1.340——21.88%
BB% (unintentional) /PA6.60%÷1.060×0.660—×0.9804.03%
HBP% /PA2.37%—×0.770—×0.9801.79%
Singles /BIP22.66%÷1.039×0.920×1.045×0.98020.57%
Doubles /BIP9.35%÷0.983×0.820×1.045×0.9808.00%
Triples /BIP0.00%÷1.150×0.940×1.045×0.9800.00%
Home runs /BIP2.52%÷0.917×0.820—×0.9802.21%

Factors used: league row SAL. Park (home-season share, regressed): HR 83, 1B 108, 2B 97, 3B 130, K 100, BB 112 — 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 ×1.045.

Result: wOBA .335 → .278; ISO .138 → .118; BABIP .324 → .288. 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 A+Winston-Salem Dash · 86 PAwOBA .344 → .288 (−56)K% 19.8% → 28.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.77%÷0.974×1.420——28.81%
BB% (unintentional) /PA4.65%÷1.016×0.630—×0.9882.85%
HBP% /PA1.16%—×0.860—×0.9880.99%
Singles /BIP20.00%÷1.034×0.940×1.020×0.98818.32%
Doubles /BIP6.67%÷0.958×0.830×1.020×0.9885.82%
Triples /BIP3.33%÷1.030×0.800×1.020×0.9882.61%
Home runs /BIP5.00%÷0.960×0.900—×0.9884.63%

Factors used: league row CAR. Park (home-season share, regressed): HR 92, 1B 107, 2B 92, 3B 106, K 95, BB 103 — 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 ×1.020.

Result: wOBA .344 → .288; ISO .221 → .188; BABIP .300 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .