Marcus Knecht

PosLF
B/TR/R
Born1990-06-21
Age (2027)37
No MLB projection yet. Career stats below are historical.
Overview
A+LAST SEASON 2015
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201323A+TOR459.239/.298/.382111043—.183/.235/.281
201424A+TOR453.250/.329/.3887759—.204/.271/.301
201525AA/A+2 orgs465.221/.322/.31021536—.167/.244/.233
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)
201121 ALansing Lugnuts — 528439 12034316 6712412 43 273384474858 200337 2313 375 82 — — — — — —
201222 A+Dunedin Blue Jays — 516452 9532513 5014611 51 210304389693 179277 2810 310 40 — — — — — —
201222 INTLCanberra Cavalry — 181158 42825 16382 30 266341437778 171311 219 337 114 — — — — — —
201323 A+Dunedin Blue Jays — 459419 10021311 271069 104 239298382680 143292 236 303 43 — — — — — —
201424 A+Dunedin Blue Jays — 453400 1002457 41877 73 250329388716 138301 199 320 59 — — — — — —
201525 AAChattanooga Lookouts — 4435 6200 8121 20 171341229569 57261 2718 284 36 — — — — — —
201525 A+Fort Myers Miracle — 421368 831852 43918 131 226320318638 92292 2210 294 36 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201121 A MLELansing Lugnuts — 528462 9824313 4417512 43 212297361659 149284 338 289 82 — — — — — —
201222 A+ MLEDunedin Blue Jays — 516465 7023311 3720711 51 151230284514 133232 407 227 40 — — — — — —
201323 A+ MLEDunedin Blue Jays — 459427 781727 201509 104 183235281516 98259 334 232 43 — — — — — —
201424 A+ MLEDunedin Blue Jays — 453412 842044 311217 73 204271301572 97271 277 255 59 — — — — — —
201525 AA MLEChattanooga Lookouts — 4438 6200 5151 20 158273211483 53242 3411 222 36 — — — — — —
201525 A+ MLEFort Myers Miracle — 421382 641541 291318 131 168241236477 68250 317 221 36 — — — — — —
201121 A MLELansing Lugnuts — 528462 9824313 4417512 43 212297361659 149299 338 289 82 — — — — — —
201121 A RAWLansing Lugnuts — 528439 12034316 6712412 43 273384474858 200337 2313 375 82 — — — — — —
201222 A+ MLE2 teams — 697627 9431414 4927913 81 150226279506 129235 407 227 40 — — — — — —
201222 A+ RAW2 teams — 697610 13740718 6618413 81 225313402715 177287 269 317 40 — — — — — —
201323 A+ MLEDunedin Blue Jays — 459427 781727 201509 104 183235281516 98260 334 232 43 — — — — — —
201323 A+ RAWDunedin Blue Jays — 459419 10021311 271069 104 239298382680 143292 236 303 43 — — — — — —
201424 A+ MLEDunedin Blue Jays — 453412 842044 311217 73 204271301572 97276 277 255 59 — — — — — —
201424 A+ RAWDunedin Blue Jays — 453400 1002457 41877 73 250329388716 138301 199 320 59 — — — — — —
201525 A+ MLE2 teams — 465419 701741 351469 151 167246234480 67252 318 221 36 — — — — — —
201525 A+ RAW2 teams — 465403 892052 511039 151 221322310632 89290 2211 293 36 — — — — — —
201121 A MLELansing Lugnuts — 528467 9824313 4417512 43 210297358655 148284 338 289 82 — — — — — —
201222 A+ MLE2 teams — 697630 9431414 4927913 81 149226278504 129232 407 227 40 — — — — — —
201323 A+ MLEDunedin Blue Jays — 459427 781727 201509 104 183235281516 98259 334 232 43 — — — — — —
201424 A+ MLEDunedin Blue Jays — 453412 842044 311217 73 204271301572 97271 277 255 59 — — — — — —
201525 A+ MLE2 teams — 465418 701741 351469 151 167246234481 67249 318 221 36 — — — — — —
▸ Career Totals
Career— MLE — 26022347 4241091739 17987150 4412 181253291545 111263 337 244 51 -150 +4 +0 -28 +56 -12.0
/ 162G— MLE — 650586 10627410 4521812 113 181253292545 111264 347 244 51 -38 +1 +0 -7 +14 -3.0

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.

2015 A+Fort Myers Miracle · 421 PAwOBA .288 → .221 (−68)K% 21.6% → 31.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.62%÷0.984×1.420——31.18%
BB% (unintentional) /PA10.21%÷1.072×0.750—×0.9786.99%
HBP% /PA1.90%—×0.930—×0.9781.73%
Singles /BIP20.94%÷1.040×0.920×0.961×0.97817.40%
Doubles /BIP6.50%÷0.962×0.960×0.961×0.9786.09%
Triples /BIP1.81%÷0.900×0.810×0.961×0.9781.53%
Home runs /BIP0.72%÷1.106×0.880—×0.9780.56%

Factors used: league row FSL. Park (home-season share, regressed): HR 121, 1B 108, 2B 92, 3B 80, K 97, BB 114 — 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 ×0.961.

Result: wOBA .288 → .221; ISO .092 → .074; BABIP .292 → .250. 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 AAChattanooga Lookouts · 44 PAwOBA .278 → .222 (−57)K% 27.3% → 33.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.27%÷0.988×1.220——33.67%
BB% (unintentional) /PA18.18%÷1.059×0.680—×0.99811.65%
HBP% /PA2.27%—×0.840—×0.9981.91%
Singles /BIP17.39%÷0.980×0.920—×0.99816.30%
Doubles /BIP8.70%÷0.999×0.910—×0.9987.91%
Triples /BIP0.00%÷1.020×0.880—×0.9980.00%
Home runs /BIP0.00%÷1.232×0.800—×0.9980.00%

Factors used: league row SL. Park (home-season share, regressed): HR 146, 1B 96, 2B 100, 3B 104, K 98, BB 112 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .278 → .222; ISO .057 → .052; BABIP .261 → .242. 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 A+Dunedin Blue Jays · 453 PAwOBA .314 → .255 (−59)K% 19.2% → 26.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.21%÷1.016×1.420——26.84%
BB% (unintentional) /PA9.05%÷0.979×0.750—×0.9886.85%
HBP% /PA1.55%—×0.930—×0.9881.42%
Singles /BIP20.45%÷0.982×0.920×0.999×0.98818.89%
Doubles /BIP7.67%÷1.083×0.960×0.999×0.9886.70%
Triples /BIP1.60%÷0.900×0.810×0.999×0.9881.42%
Home runs /BIP2.24%÷1.309×0.880—×0.9881.49%

Factors used: league row FSL. Park (home-season share, regressed): HR 162, 1B 96, 2B 117, 3B 80, K 103, BB 96 — 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 ×0.999.

Result: wOBA .314 → .255; ISO .138 → .103; BABIP .301 → .271. 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+Dunedin Blue Jays · 459 PAwOBA .297 → .232 (−65)K% 23.1% → 32.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.09%÷1.007×1.420——32.55%
BB% (unintentional) /PA5.88%÷1.032×0.750—×0.9984.27%
HBP% /PA1.96%—×0.930—×0.9981.82%
Singles /BIP20.77%÷1.025×0.920×0.988×0.99818.38%
Doubles /BIP6.71%÷1.023×0.960×0.988×0.9986.21%
Triples /BIP0.96%÷0.900×0.810×0.988×0.9980.85%
Home runs /BIP3.51%÷1.160×0.880—×0.9982.66%

Factors used: league row FSL. Park (home-season share, regressed): HR 132, 1B 105, 2B 105, 3B 80, K 101, BB 106 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.

Result: wOBA .297 → .232; ISO .143 → .107; BABIP .292 → .259. 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+Dunedin Blue Jays · 516 PAwOBA .303 → .227 (−76)K% 28.3% → 40.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.29%÷1.001×1.420——40.12%
BB% (unintentional) /PA9.50%÷1.020×0.750—×1.0127.07%
HBP% /PA2.13%—×0.930—×1.0122.01%
Singles /BIP14.71%÷1.034×0.920×0.950×1.01212.58%
Doubles /BIP10.46%÷1.111×0.960×0.950×1.0128.69%
Triples /BIP1.63%÷1.014×0.810×0.950×1.0121.26%
Home runs /BIP4.25%÷0.944×0.880—×1.0124.01%

Factors used: league row FSL. Park (home-season share, regressed): HR 89, 1B 107, 2B 122, 3B 103, K 100, BB 104 — 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 .303 → .227; ISO .179 → .135; BABIP .277 → .232. 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 ALansing Lugnuts · 528 PAwOBA .371 → .289 (−82)K% 23.5% → 33.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.48%÷0.963×1.360——33.16%
BB% (unintentional) /PA12.12%÷1.007×0.690—×1.0158.43%
HBP% /PA2.27%—×0.780—×1.0151.80%
Singles /BIP21.27%÷1.001×0.920×0.970×1.01519.25%
Doubles /BIP10.79%÷1.103×0.830×0.970×1.0158.00%
Triples /BIP0.95%÷0.982×0.910×0.970×1.0150.87%
Home runs /BIP5.08%÷0.921×0.800—×1.0154.48%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 84, 1B 100, 2B 121, 3B 96, K 93, BB 101 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.

Result: wOBA .371 → .289; ISO .200 → .158; BABIP .337 → .284. 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 — .