Chris Colabello

Pos1B
B/TR/R
Born1983-10-24
Age (2027)43
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2017
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201531AAATOR95.337/.421/.55450129—.295/.347/.466
201531MLBTOR360.321/.369/.5201521491.1
201632AAA/A+TOR173.185/.256/.293508—.135/.180/.196
201632MLBTOR32.069/.156/.06900-31-0.8
201733AAA/INTL2 orgs557.253/.354/.38413358—.185/.260/.281
201834No MLB games played
201935No MLB games played
202036No MLB games played
202137No MLB games played
202238No MLB games played
202339No MLB games played
202440No MLB games played
202541No MLB games played
202642No MLB games played
Last 3 seasons WAR 0.3
Contract
No contract data on file.
Skills · percentileStatcast 2015-2016
xwOBA65
Avg EV58
Barrel%52
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.

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)
201228 AANew Britain Rock Cats — 562496 14137119 479413 00 284361478839 194314 178 368 94 — — — — — —
201228 INTLAlgodoneros de Guasave — 234205 6813017 23472 02 3324046441.048 312354 2010 444 187 — — — — — —
201329 MLBMinnesota Twins — 181160 31307 20581 01 194287344631 150253 3211 288 81 -4 -0 -0 -11 +4 -1.3
201329 AAARochester Red Wings — 391338 11925024 43895 21 3524336391.072 287413 2311 458 144 — — — — — —
201329 INTLToros del Este — 6458 11000 4181 01 190254190444 275 286 211 29 — — — — — —
201430 MLBMinnesota Twins — 220205 471306 14661 02 229282380662 151308 306 296 84 -4 -1 -7 -8 +5 -1.6
201430 AAARochester Red Wings — 238213 5713010 21552 00 268339469808 202313 239 355 72 — — — — — —
201531 MLBToronto Blue Jays — 360333 10719115 22963 20 321369520888 198411 276 389 149 +21 +0 -13 -5 +8 1.1
201531 AAABuffalo Bisons — 9583 28305 11191 00 337421554975 217390 2012 429 129 — — — — — —
201632 MLBToronto Blue Jays — 3229 2000 291 00 6915669225 100 286 123 -31 -5 +0 -0 -4 +1 -0.8
201632 AAABuffalo Bisons — 153139 25005 11462 00 180250288538 108225 307 246 6 — — — — — —
201632 A+Dunedin Blue Jays — 2018 4200 250 00 222300333633 111308 2510 289 22 — — — — — —
201733 AAAColorado Springs Sky Sox — 483418 10621112 581135 31 254351395746 141319 2312 337 51 — — — — — —
201733 INTLCharros de Jalisco — 7461 15101 12160 01 246370311681 66311 2216 318 101 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 793727 18735128 582296 23 257317424741 166337 297 329 109 +8 -1 -20 -28 +17 -2.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201228 AA MLENew Britain Rock Cats — 562515 12729118 2911713 00 247303412715 165277 215 307 94 — — — — — —
201329 MLB MLEMinnesota Twins — 181160 31307 20581 01 194287344631 150253 3211 287 81 -4 -0 -0 -11 +4 -1.3
201329 AAA MLERochester Red Wings — 391355 10521021 261085 21 296352532885 237359 287 381 144 — — — — — —
201430 MLB MLEMinnesota Twins — 220206 471306 13661 02 228277379656 150308 306 292 84 -4 -1 -7 -8 +5 -1.6
201430 AAA MLERochester Red Wings — 238223 491008 11662 00 220263372635 152270 285 275 72 — — — — — —
201531 MLB MLEToronto Blue Jays — 360333 10719115 22963 20 321369520888 198411 276 388 149 +21 +0 -13 -5 +8 1.1
201531 AAA MLEBuffalo Bisons — 9588 26304 6231 00 295347466813 170360 246 359 129 — — — — — —
201632 MLB MLEToronto Blue Jays — 3229 2000 291 00 6915669225 100 286 123 -31 -5 +0 -0 -4 +1 -0.8
201632 AAA MLEBuffalo Bisons — 153144 20003 6592 00 139184201386 62201 394 177 6 — — — — — —
201632 A+ MLEDunedin Blue Jays — 2019 2100 170 00 105150158308 53258 355 201 22 — — — — — —
201733 AAA MLEColorado Springs Sky Sox — 483437 811319 391535 31 185260281541 96258 328 243 51 — — — — — —
201228 AA MLE2 teams — 796731 17941125 4116615 02 245299406705 161281 215 307 94 — — — — — —
201228 AA RAW2 teams — 796701 20950136 7014115 02 298374526900 228325 189 391 94 — — — — — —
201329 AAA MLE3 teams — 636572 15227031 511857 23 266333476809 210335 298 351 124 — — — — — —
201329 AAA RAW3 teams — 636556 16128031 671657 23 290373507880 218356 2611 385 124 — — — — — —
201430 AAA MLE2 teams — 458429 9623014 241323 02 224270375645 152288 295 283 78 — — — — — —
201430 AAA RAW2 teams — 458418 10426016 351213 02 249311426737 177311 268 326 78 — — — — — —
201531 MLB MLE2 teams — 455421 13322119 281194 20 316364508873 192400 266 382 145 +24 +0 -13 -5 +10 1.7
201531 MLB RAW2 teams — 455416 13522120 331154 20 325380526906 202406 257 397 145 +24 +0 -13 -5 +10 1.7
201632 AAA MLE3 teams — 205191 24103 10753 00 126181178359 52184 375 171 2 — — — — — —
201632 AAA RAW3 teams — 205186 31205 15603 00 167240258498 91213 297 231 2 — — — — — —
201733 AAA MLE2 teams — 557504 9315110 451775 32 185258278536 93259 328 243 51 — — — — — —
201733 AAA RAW2 teams — 557479 12122113 701295 32 253354384738 132318 2313 335 51 — — — — — —
201228 AA MLE2 teams — 796734 17941125 4116615 02 244299405703 161277 215 307 94 — — — — — —
201329 AAA MLE3 teams — 636573 15227031 511857 23 265333475808 209325 298 351 124 — — — — — —
201430 AAA MLE2 teams — 458428 9623014 241323 02 224270376646 152288 295 283 78 — — — — — —
201531 MLB MLE2 teams — 455420 13322119 281194 20 317364510874 193400 266 382 145 — — — — — —
201632 AAA MLE3 teams — 205190 24103 10753 00 126181179360 53191 375 171 2 — — — — — —
201733 AAA MLE2 teams — 557502 9315110 451775 32 185258279537 94258 328 243 51 — — — — — —
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 793727 18735128 582296 23 257317424741 166337 297 329 91 +8 -1 -20 -28 +17 -2.4
/ 162G— A+C — 650596 15429123 481885 22 258319426746 168339 297 329 91 +7 -1 -17 -23 +14 -2.0
Career— MLE — 31072848 6771293102 19985437 79 238296393689 155301 276 303 91 +8 -1 -20 -28 +17 -2.4
/ 162G— MLE — 650596 14227121 421798 12 238297393690 154302 286 303 91 +7 -1 -17 -23 +14 -2.0

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.

2017 AAAColorado Springs Sky Sox · 483 PAwOBA .330 → .243 (−87)K% 23.4% → 31.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.40%÷0.953×1.290——31.66%
BB% (unintentional) /PA12.01%÷0.995×0.710—×0.9408.05%
HBP% /PA1.04%—×0.980—×0.9400.95%
Singles /BIP23.61%÷1.018×0.900×1.035×0.94020.31%
Doubles /BIP6.89%÷1.163×0.810×1.035×0.9404.67%
Triples /BIP0.33%÷1.150×0.810×1.035×0.9400.22%
Home runs /BIP3.93%÷0.933×0.780—×0.9403.09%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 104, 2B 133, 3B 130, K 91, BB 99 — 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 ×1.035.

Result: wOBA .330 → .243; ISO .141 → .099; BABIP .319 → .258. 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 AAABuffalo Bisons · 153 PAwOBA .238 → .177 (−61)K% 30.1% → 38.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA30.07%÷0.937×1.200——38.49%
BB% (unintentional) /PA6.54%÷1.034×0.690—×0.9424.11%
HBP% /PA1.31%—×0.940—×0.9421.16%
Singles /BIP21.51%÷1.008×0.930×1.050×0.94219.62%
Doubles /BIP0.00%÷0.917×0.830×1.050×0.9420.00%
Triples /BIP0.00%÷1.150×0.970×1.050×0.9420.00%
Home runs /BIP5.38%÷1.164×0.840—×0.9423.65%

Factors used: league row IL. Park (home-season share, regressed): HR 133, 1B 102, 2B 83, 3B 130, K 87, BB 107 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .238 → .177; ISO .108 → .068; BABIP .225 → .201. 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 A+Dunedin Blue Jays · 20 PAwOBA .281 → .201 (−81)K% 25.0% → 37.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.00%÷0.955×1.420——37.19%
BB% (unintentional) /PA10.00%÷1.038×0.750—×0.9406.79%
HBP% /PA0.00%—×0.930—×0.9400.00%
Singles /BIP15.38%÷1.042×0.920—×0.94012.76%
Doubles /BIP15.38%÷1.064×0.960—×0.94013.04%
Triples /BIP0.00%÷1.150×0.810—×0.9400.00%
Home runs /BIP0.00%÷0.912×0.880—×0.9400.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 82, 1B 108, 2B 113, 3B 130, K 91, BB 108 — applied at half strength. Age: age 33 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (10.2 yr older than average).

Result: wOBA .281 → .201; ISO .111 → .081; BABIP .308 → .258. 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 AAABuffalo Bisons · 95 PAwOBA .415 → .359 (−56)K% 20.0% → 23.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.00%÷1.008×1.200——23.82%
BB% (unintentional) /PA10.53%÷1.040×0.690—×0.9526.65%
HBP% /PA1.05%—×0.940—×0.9520.94%
Singles /BIP31.25%÷0.981×0.930×1.048×0.95229.55%
Doubles /BIP4.69%÷0.944×0.830×1.048×0.9524.11%
Triples /BIP0.00%÷0.900×0.970×1.048×0.9520.00%
Home runs /BIP7.81%÷0.966×0.840—×0.9526.46%

Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 96, 2B 89, 3B 80, K 102, BB 108 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .415 → .359; ISO .217 → .185; BABIP .390 → .360. 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 AAARochester Red Wings · 238 PAwOBA .345 → .275 (−70)K% 23.1% → 27.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.11%÷1.002×1.200——27.68%
BB% (unintentional) /PA7.98%÷1.125×0.690—×0.9624.71%
HBP% /PA0.84%—×0.940—×0.9620.76%
Singles /BIP21.52%÷1.010×0.930×1.031×0.96219.66%
Doubles /BIP8.23%÷1.059×0.830×1.031×0.9626.40%
Triples /BIP0.00%÷0.900×0.970×1.031×0.9620.00%
Home runs /BIP6.33%÷1.075×0.840—×0.9624.76%

Factors used: league row IL. Park (home-season share, regressed): HR 115, 1B 102, 2B 112, 3B 80, K 100, BB 125 — 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 ×1.031.

Result: wOBA .345 → .275; ISO .202 → .154; BABIP .313 → .270. 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 AAARochester Red Wings · 391 PAwOBA .449 → .381 (−68)K% 22.8% → 27.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.76%÷0.987×1.200——27.67%
BB% (unintentional) /PA10.23%÷1.026×0.690—×0.9726.69%
HBP% /PA1.28%—×0.940—×0.9721.17%
Singles /BIP28.11%÷1.040×0.930×1.027×0.97225.08%
Doubles /BIP10.04%÷0.977×0.830×1.027×0.9728.51%
Triples /BIP0.00%÷0.900×0.970×1.027×0.9720.00%
Home runs /BIP9.64%÷0.938×0.840—×0.9728.39%

Factors used: league row IL. Park (home-season share, regressed): HR 88, 1B 108, 2B 95, 3B 80, K 97, BB 105 — 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 ×1.027.

Result: wOBA .449 → .381; ISO .287 → .251; BABIP .413 → .359. 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 AANew Britain Rock Cats · 562 PAwOBA .360 → .307 (−54)K% 16.7% → 20.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.73%÷0.983×1.220——20.77%
BB% (unintentional) /PA8.01%÷1.036×0.700—×0.9585.18%
HBP% /PA2.31%—×0.850—×0.9581.88%
Singles /BIP20.90%÷1.015×0.970×1.015×0.95819.42%
Doubles /BIP9.20%÷1.067×0.860×1.015×0.9587.21%
Triples /BIP0.25%÷0.981×0.950×1.015×0.9580.23%
Home runs /BIP4.73%÷0.811×0.780—×0.9584.35%

Factors used: league row EL. Park (home-season share, regressed): HR 62, 1B 103, 2B 113, 3B 96, K 97, BB 107 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .360 → .307; ISO .194 → .170; BABIP .314 → .277. 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 — .