Mike Freeman

PosSS
B/TL/R
Born1987-08-04
Age (2027)39
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2021
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201931AAACLE33.208/.424/.58331113—.179/.303/.500
201931MLBCleveland Ind…213.277/.369/.390411090.9
202032MLBCleveland Ind…43.237/.310/.3160076-0.0
202133AAACIN217.242/.375/.4106260—.186/.269/.299
202133MLBCIN65.186/.262/.1860125-0.0
202234No MLB games played
202335No MLB games played
202436No MLB games played
202537No MLB games played
202638No MLB games played
Last 3 seasons WAR 0.9
Contract
No contract data on file.
Skills · percentileStatcast 2019-2021
Speed55
xwOBA13
Barrel%10
Avg EV10

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)
201123 ASouth Bend Silver Hawks — 296257 671520 27392 162 261336335670 74300 139 297 57 — — — — — —
201224 A+Visalia Rawhide — 610537 1662453 60882 304 309381389770 80361 1410 344 79 — — — — — —
201325 AAMobile BayBears — 536454 1122001 65846 2910 247349297646 51297 1612 298 59 — — — — — —
201325 INTLSalt River Rafters — 6556 15400 7121 50 268359339699 71333 1811 319 102 — — — — — —
201426 AAAReno Aces — 241218 671171 21250 60 307368436804 128340 109 355 78 — — — — — —
201426 AAMobile BayBears — 221196 42735 20412 71 214294357651 143245 199 290 49 — — — — — —
201527 AAAReno Aces — 435398 1262353 34511 100 317372422794 106357 128 355 85 — — — — — —
201527 INTLNavegantes del Magallanes — 134114 31522 16210 22 272362404765 132312 1612 335 113 — — — — — —
201628 MLBSeattle Mariners — 2422 5100 270 00 227292273564 45333 298 262 65 -1 +0 +0 +2 +1 0.2
201628 AAATacoma Rainiers — 503446 1402364 51942 121 314387419806 105389 1910 361 91 — — — — — —
201729 MLBChicago Cubs — 6660 6201 6190 00 100182183365 83125 299 175 -3 -8 +0 -2 +4 +1 -0.5
201729 AAAIowa Cubs — 294258 791033 27605 100 306383403786 97386 209 352 88 — — — — — —
201830 AAAIowa Cubs — 331303 831526 25661 66 274331396727 122332 208 325 51 — — — — — —
201931 MLBCleveland Indians — 213177 49804 22614 12 277369390759 113388 2910 330 109 +2 -1 +2 +1 +5 0.9
201931 AAAColumbus Clippers — 3324 5003 970 10 2084245831.008 375143 2127 434 113 — — — — — —
202032 MLBCleveland Indians — 4338 9300 3111 00 237310316625 79321 267 282 76 -1 +0 -0 +0 +1 -0.0
202133 MLBCincinnati Reds — 6559 11000 5201 11 186262186448 282 318 218 25 -6 -0 +2 +3 +1 -0.0
202133 AAALouisville Bats — 217178 431016 37461 20 242375410785 169291 2117 355 60 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 411356 801405 381186 23 225310306616 81315 299 279 75 -12 -1 +1 +10 +9 0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201123 A MLESouth Bend Silver Hawks — 296266 611220 18542 162 229283289573 60271 186 253 57 — — — — — —
201224 A+ MLEVisalia Rawhide — 610556 1481843 411152 304 266319329648 63321 197 285 79 — — — — — —
201325 AA MLEMobile BayBears — 536476 1071801 431036 2910 225297269566 44274 198 255 59 — — — — — —
201426 AAA MLEReno Aces — 241225 58951 14330 60 258301356657 98291 146 284 78 — — — — — —
201426 AA MLEMobile BayBears — 221203 39734 13502 71 192248315563 123222 236 240 49 — — — — — —
201527 AAA MLEReno Aces — 435409 1131742 23681 100 276316352668 76323 165 294 85 — — — — — —
201628 MLB MLESeattle Mariners — 2422 5100 270 00 227292273564 45333 298 264 65 -1 +0 +0 +2 +1 0.2
201628 AAA MLETacoma Rainiers — 503466 1292153 311172 121 277325363687 86356 236 302 91 — — — — — —
201729 MLB MLEChicago Cubs — 6661 6201 5190 00 98167180347 82125 298 164 -3 -8 +0 -2 +4 +1 -0.5
201729 AAA MLEIowa Cubs — 294267 72823 18715 100 270328348676 79347 246 298 88 — — — — — —
201830 AAA MLEIowa Cubs — 331313 681125 15861 66 217255313568 96276 265 244 51 — — — — — —
201931 MLB MLECleveland Indians — 213177 49804 22614 12 277369390759 113388 2910 329 109 +2 -1 +2 +1 +5 0.9
201931 AAA MLEColumbus Clippers — 3328 5003 580 10 179303500803 321125 2415 335 113 — — — — — —
202032 MLB MLECleveland Indians — 4338 9300 3111 00 237310316625 79321 267 280 76 -1 +0 -0 +0 +1 -0.0
202133 MLB MLECincinnati Reds — 6560 11000 4201 11 183246183429 282 316 205 25 -6 -0 +2 +3 +1 -0.0
202133 AAA MLELouisville Bats — 217194 36814 21581 20 186269299567 113243 2710 257 60 — — — — — —
201123 A MLESouth Bend Silver Hawks — 296266 611220 18542 162 229283289573 60281 186 253 57 — — — — — —
201123 A RAWSouth Bend Silver Hawks — 296257 671520 27392 162 261336335670 74300 139 297 57 — — — — — —
201224 A+ MLEVisalia Rawhide — 610556 1481843 411152 304 266319329648 63327 197 285 79 — — — — — —
201224 A+ RAWVisalia Rawhide — 610537 1662453 60882 304 309381389770 80361 1410 344 79 — — — — — —
201325 AA MLE2 teams — 601533 1202001 491167 3410 225299268567 43282 198 255 59 — — — — — —
201325 AA RAW2 teams — 601510 1272401 72967 3410 249350302652 53301 1612 300 59 — — — — — —
201426 AAA MLE2 teams — 462428 951585 27842 131 222271329601 107263 186 263 64 — — — — — —
201426 AAA RAW2 teams — 462414 10918106 41662 131 263333399731 135299 149 324 64 — — — — — —
201527 AAA MLE2 teams — 569532 1482353 30891 122 278318357675 79327 165 294 85 — — — — — —
201527 AAA RAW2 teams — 569512 1572875 50721 122 307369418787 111347 139 350 85 — — — — — —
201628 AAA MLE2 teams — 527488 1342253 331242 121 275323359682 84361 246 300 89 — — — — — —
201628 AAA RAW2 teams — 527468 1452464 531012 121 310382412795 103386 1910 356 89 — — — — — —
201729 AAA MLE2 teams — 360328 781024 23905 100 238298317615 79314 256 274 71 — — — — — —
201729 AAA RAW2 teams — 360318 851234 33795 100 267346362707 94342 229 319 71 — — — — — —
201830 AAA MLEIowa Cubs — 331313 681125 15861 66 217255313568 96283 265 244 51 — — — — — —
201830 AAA RAWIowa Cubs — 331303 831526 25661 66 274331396727 122332 208 325 51 — — — — — —
201931 MLB MLE2 teams — 246205 54807 27694 22 263360405765 141353 2811 330 110 +3 -0 +2 +1 +5 1.1
201931 MLB RAW2 teams — 246201 54807 31684 22 269377413790 144362 2813 344 110 +3 -0 +2 +1 +5 1.1
202032 MLB MLECleveland Indians — 4338 9300 3111 00 237310316625 79321 267 280 76 -1 +0 -0 +0 +1 -0.0
202032 MLB RAWCleveland Indians — 4338 9300 3111 00 237310316625 79321 267 282 76 -1 +0 -0 +0 +1 -0.0
202133 AAA MLE2 teams — 282254 47814 25782 31 185263272535 87249 289 245 52 — — — — — —
202133 AAA RAW2 teams — 282237 541016 42662 31 228349354703 127289 2315 323 52 — — — — — —
201123 A MLESouth Bend Silver Hawks — 296274 611220 18542 162 223283281564 58271 186 253 57 — — — — — —
201224 A+ MLEVisalia Rawhide — 610562 1481843 411152 304 263319326644 62321 197 285 79 — — — — — —
201325 AA MLE2 teams — 601540 1202001 491167 3410 222299265564 43274 198 255 59 — — — — — —
201426 AAA MLE2 teams — 462430 951585 27842 131 221271328599 107258 186 263 64 — — — — — —
201527 AAA MLE2 teams — 569533 1482353 30891 122 278318356674 79323 165 294 85 — — — — — —
201628 AAA MLE2 teams — 527487 1342253 331242 121 275323359682 84355 246 300 89 — — — — — —
201729 AAA MLE2 teams — 360329 781024 23905 100 237298316614 79306 256 274 71 — — — — — —
201830 AAA MLEIowa Cubs — 331312 681125 15861 66 218255314569 96276 265 244 51 — — — — — —
201931 MLB MLE2 teams — 246213 54807 27694 22 254360390750 136353 2811 330 110 — — — — — —
202032 MLB MLECleveland Indians — 4339 9300 3111 00 231310308617 77321 267 280 76 — — — — — —
202133 AAA MLE2 teams — 282253 47814 25782 31 186263273536 87252 289 245 52 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 411356 801405 381186 23 225310306616 81315 299 279 72 -12 -1 +1 +10 +9 0.7
/ 162G— A+C — 650563 1262208 601879 35 224308306614 82314 299 279 72 -20 -1 +2 +15 +14 1.1
Career— MLE — 43273941 9621502935 29191629 13829 244301324624 79307 217 275 72 -12 -1 +1 +10 +9 0.7
/ 162G— MLE — 650592 1442345 441384 214 243300321621 78306 217 275 72 -20 -1 +2 +15 +14 1.1

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.

2021 AAALouisville Bats · 217 PAwOBA .346 → .257 (−90)K% 21.2% → 26.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.20%÷0.949×1.200——26.81%
BB% (unintentional) /PA16.59%÷1.099×0.690—×0.9409.79%
HBP% /PA0.46%—×0.940—×0.9400.41%
Singles /BIP19.70%÷0.994×0.930×0.980×0.94016.97%
Doubles /BIP7.58%÷0.945×0.830×0.980×0.9406.13%
Triples /BIP0.76%÷0.900×0.920×0.980×0.9400.71%
Home runs /BIP4.55%÷1.088×0.700—×0.9402.75%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 99, 2B 89, 3B 80, K 90, BB 120 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .346 → .257; ISO .169 → .121; BABIP .291 → .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).

2019 AAAColumbus Clippers · 33 PAwOBA .424 → .335 (−89)K% 21.2% → 25.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.21%÷0.993×1.200——25.64%
BB% (unintentional) /PA27.27%÷1.089×0.690—×0.95216.45%
HBP% /PA0.00%—×0.940—×0.9520.00%
Singles /BIP11.76%÷0.970×0.930—×0.95210.74%
Doubles /BIP0.00%÷0.995×0.830—×0.9520.00%
Triples /BIP0.00%÷0.900×0.970—×0.9520.00%
Home runs /BIP17.65%÷0.985×0.840—×0.95214.33%

Factors used: league row IL. Park (home-season share, regressed): HR 97, 1B 94, 2B 99, 3B 80, K 99, BB 118 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average).

Result: wOBA .424 → .335; ISO .375 → .342; BABIP .143 → .125. 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 AAAIowa Cubs · 331 PAwOBA .316 → .244 (−72)K% 19.9% → 25.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.94%÷0.993×1.290——25.90%
BB% (unintentional) /PA7.25%÷1.116×0.710—×0.9624.44%
HBP% /PA0.30%—×0.980—×0.9620.28%
Singles /BIP25.32%÷1.033×0.900×1.030×0.96221.85%
Doubles /BIP6.33%÷1.091×0.810×1.030×0.9624.66%
Triples /BIP0.84%÷1.024×0.810×1.030×0.9620.66%
Home runs /BIP2.53%÷0.919×0.780—×0.9622.07%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 107, 2B 118, 3B 105, K 99, BB 123 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .316 → .244; ISO .122 → .092; BABIP .332 → .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).

2017 AAAIowa Cubs · 294 PAwOBA .343 → .298 (−45)K% 20.4% → 24.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.41%÷1.083×1.290——24.31%
BB% (unintentional) /PA8.50%÷0.965×0.710—×0.9726.08%
HBP% /PA1.70%—×0.980—×0.9721.62%
Singles /BIP31.82%÷0.991×0.900×1.050×0.97229.49%
Doubles /BIP5.05%÷1.056×0.810×1.050×0.9723.95%
Triples /BIP1.52%÷1.042×0.810×1.050×0.9721.20%
Home runs /BIP1.52%÷0.899×0.780—×0.9721.28%

Factors used: league row PCL. Park (home-season share, regressed): HR 80, 1B 98, 2B 111, 3B 108, K 117, BB 93 — 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 ×1.050.

Result: wOBA .343 → .298; ISO .097 → .079; BABIP .386 → .347. 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 AAATacoma Rainiers · 503 PAwOBA .352 → .302 (−49)K% 18.7% → 23.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.69%÷1.041×1.290——23.16%
BB% (unintentional) /PA9.74%÷1.115×0.710—×0.9826.09%
HBP% /PA0.40%—×0.980—×0.9820.38%
Singles /BIP30.40%÷0.987×0.900×1.036×0.98228.20%
Doubles /BIP6.53%÷0.901×0.810×1.036×0.9825.97%
Triples /BIP1.70%÷1.063×0.810×1.036×0.9821.32%
Home runs /BIP1.14%÷0.896×0.780—×0.9820.97%

Factors used: league row PCL. Park (home-season share, regressed): HR 79, 1B 97, 2B 80, 3B 113, K 108, BB 123 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.

Result: wOBA .352 → .302; ISO .105 → .091; BABIP .389 → .356. 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 AAAReno Aces · 435 PAwOBA .345 → .294 (−51)K% 11.7% → 15.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.72%÷0.969×1.290——15.60%
BB% (unintentional) /PA7.36%÷0.997×0.710—×0.9925.20%
HBP% /PA0.23%—×0.980—×0.9920.22%
Singles /BIP27.38%÷0.964×0.900×1.030×0.99226.10%
Doubles /BIP6.63%÷1.083×0.810×1.030×0.9925.06%
Triples /BIP1.44%÷1.150×0.810×1.030×0.9921.04%
Home runs /BIP0.86%÷1.027×0.780—×0.9920.65%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 93, 2B 117, 3B 130, K 94, BB 99 — 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 ×1.030.

Result: wOBA .345 → .294; ISO .106 → .078; BABIP .357 → .323. 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 AAAReno Aces · 241 PAwOBA .349 → .284 (−65)K% 10.4% → 13.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.37%÷0.965×1.290——13.87%
BB% (unintentional) /PA8.71%÷1.049×0.710—×1.0035.92%
HBP% /PA0.00%—×0.980—×1.0030.00%
Singles /BIP24.87%÷1.047×0.900×1.030×1.00322.09%
Doubles /BIP5.70%÷1.047×0.810×1.030×1.0034.55%
Triples /BIP3.63%÷1.150×0.810×1.030×1.0032.64%
Home runs /BIP0.52%÷1.116×0.780—×1.0030.36%

Factors used: league row PCL. Park (home-season share, regressed): HR 123, 1B 109, 2B 109, 3B 130, K 93, BB 110 — 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 ×1.030.

Result: wOBA .349 → .284; ISO .128 → .097; BABIP .340 → .291. 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 AAMobile BayBears · 221 PAwOBA .284 → .240 (−44)K% 18.6% → 22.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.55%÷0.993×1.220——22.79%
BB% (unintentional) /PA9.05%÷1.030×0.680—×0.9785.84%
HBP% /PA0.90%—×0.840—×0.9780.74%
Singles /BIP17.42%÷1.018×0.920×1.025×0.97815.77%
Doubles /BIP4.52%÷0.965×0.910×1.025×0.9784.27%
Triples /BIP1.94%÷1.038×0.880×1.025×0.9781.64%
Home runs /BIP3.23%÷0.902×0.800—×0.9782.80%

Factors used: league row SL. Park (home-season share, regressed): HR 80, 1B 104, 2B 93, 3B 108, K 99, BB 106 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .284 → .240; ISO .143 → .127; BABIP .245 → .222. 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 — .