Marc Wik

Pos2B
B/TL/R
Born1992-07-18
Age (2027)35
No MLB projection yet. Career stats below are historical.
Overview
A+LAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201422AKC242.252/.347/.40841170—.219/.288/.344
201523A+/INTL2 orgs577.287/.411/.4391020108—.208/.291/.328
201624A+Lancaster Jet…251.248/.346/.3935660—.205/.276/.308
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)
201220 ROKGreeneville Astros — 144119 28301 21462 36 235359286645 50375 3215 304 29 — — — — — —
201321 ROKGreeneville Astros — 183139 37420 40261 14 266433324757 58327 1422 356 70 — — — — — —
201422 AQuad Cities River Bandits — 242206 521434 29551 117 252347408755 155320 2312 331 70 — — — — — —
201523 A+Lancaster JetHawks — 359301 801748 51982 96 266376429804 163365 2714 357 71 — — — — — —
201523 INTLAdelaide Bite — 218170 551512 44342 1110 324468459926 135396 1620 416 168 — — — — — —
201624 A+Lancaster JetHawks — 251214 531035 30552 64 248346393738 145306 2212 327 60 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201220 ROK MLEGreeneville Astros — 144127 21201 13652 36 165254205458 39324 459 211 29 — — — — — —
201321 ROK MLEGreeneville Astros — 183154 34320 25371 14 221333266600 45279 2014 272 70 — — — — — —
201422 A MLEQuad Cities River Bandits — 242215 471233 20751 117 219288344632 126297 318 271 70 — — — — — —
201523 A+ MLELancaster JetHawks — 359317 661327 351422 96 208291328619 120337 4010 273 71 — — — — — —
201624 A+ MLELancaster JetHawks — 251224 46833 20772 64 205276308584 103277 318 257 60 — — — — — —
201220 ROK MLEGreeneville Astros — 144127 21201 13652 36 165254205458 39328 459 211 29 — — — — — —
201220 ROK RAWGreeneville Astros — 144119 28301 21462 36 235359286645 50375 3215 304 29 — — — — — —
201321 ROK MLEGreeneville Astros — 183154 34320 25371 14 221333266600 45291 2014 272 70 — — — — — —
201321 ROK RAWGreeneville Astros — 183139 37420 40261 14 266433324757 58327 1422 356 70 — — — — — —
201422 A MLEQuad Cities River Bandits — 242215 471233 20751 117 219288344632 126314 318 271 70 — — — — — —
201422 A RAWQuad Cities River Bandits — 242206 521434 29551 117 252347408755 155320 2312 331 70 — — — — — —
201523 A+ MLE2 teams — 577509 10621411 572284 2016 208293330623 122349 4010 273 71 — — — — — —
201523 A+ RAW2 teams — 577471 13532510 951324 2016 287411439850 153378 2316 379 71 — — — — — —
201624 A+ MLELancaster JetHawks — 251224 46833 20772 64 205276308584 103293 318 257 60 — — — — — —
201624 A+ RAWLancaster JetHawks — 251214 531035 30552 64 248346393738 145306 2212 327 60 — — — — — —
201220 ROK MLEGreeneville Astros — 144128 21201 13652 36 164254203457 39324 459 211 29 — — — — — —
201321 ROK MLEGreeneville Astros — 183155 34320 25371 14 219333265598 45279 2014 272 70 — — — — — —
201422 A MLEQuad Cities River Bandits — 242219 471233 20751 117 215288338626 123297 318 271 70 — — — — — —
201523 A+ MLE2 teams — 577511 10621411 572284 2016 207293329622 121337 4010 273 71 — — — — — —
201624 A+ MLELancaster JetHawks — 251227 46833 20772 64 203276304580 101277 318 257 60 — — — — — —
▸ Career Totals
Career— MLE — 13971229 254461218 13548210 4137 207290308598 101320 3510 263 64 -59 -7 +0 +5 +30 -3.1
/ 162G— MLE — 650572 1182168 632245 1917 206291306597 100320 3410 263 64 -28 -3 +0 +2 +14 -1.4

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.

2016 A+Lancaster JetHawks · 251 PAwOBA .323 → .257 (−66)K% 21.9% → 30.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.91%÷0.962×1.340——30.51%
BB% (unintentional) /PA11.95%÷1.046×0.710—×0.9888.02%
HBP% /PA0.80%—×0.790—×0.9880.62%
Singles /BIP22.01%÷0.982×0.910×1.044×0.98821.04%
Doubles /BIP6.29%÷1.070×0.820×1.044×0.9884.97%
Triples /BIP1.89%÷0.900×0.760×1.044×0.9881.64%
Home runs /BIP3.14%÷1.252×0.920—×0.9882.28%

Factors used: league row CAL. Park (home-season share, regressed): HR 150, 1B 96, 2B 114, 3B 80, K 92, BB 109 — 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 ×1.044.

Result: wOBA .323 → .257; ISO .145 → .108; BABIP .306 → .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).

2015 A+Lancaster JetHawks · 359 PAwOBA .350 → .273 (−77)K% 27.3% → 39.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.30%÷0.924×1.340——39.60%
BB% (unintentional) /PA14.21%÷1.031×0.710—×0.9989.77%
HBP% /PA0.56%—×0.790—×0.9980.44%
Singles /BIP25.12%÷0.985×0.910×1.050×0.99824.33%
Doubles /BIP8.37%÷1.005×0.820×1.050×0.9987.16%
Triples /BIP1.97%÷1.150×0.760×1.050×0.9981.36%
Home runs /BIP3.94%÷0.964×0.920—×0.9983.75%

Factors used: league row CAL. Park (home-season share, regressed): HR 93, 1B 97, 2B 101, 3B 130, K 85, 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 ×1.050.

Result: wOBA .350 → .273; ISO .163 → .127; BABIP .365 → .337. 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 AQuad Cities River Bandits · 242 PAwOBA .327 → .271 (−57)K% 22.7% → 30.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.73%÷1.004×1.360——30.80%
BB% (unintentional) /PA11.98%÷1.005×0.690——8.23%
HBP% /PA0.41%—×0.780——0.32%
Singles /BIP20.53%÷1.003×0.920×1.049—19.76%
Doubles /BIP9.27%÷0.999×0.830×1.049—8.08%
Triples /BIP1.99%÷1.013×0.910×1.049—1.87%
Home runs /BIP2.65%÷1.084×0.800——1.95%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 101, 2B 100, 3B 103, K 101, BB 101 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.049.

Result: wOBA .327 → .271; ISO .155 → .126; BABIP .320 → .297. 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 ROKGreeneville Astros · 183 PAwOBA .346 → .272 (−75)K% 14.2% → 20.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.21%÷1.000×1.420——20.17%
BB% (unintentional) /PA21.31%÷1.000×0.640—×0.98513.43%
HBP% /PA0.55%—×0.740—×0.9850.40%
Singles /BIP27.43%÷1.000×0.840×1.050×0.98523.83%
Doubles /BIP3.54%÷1.000×0.740×1.050×0.9852.71%
Triples /BIP1.77%÷1.000×0.740×1.050×0.9851.35%
Home runs /BIP0.00%÷1.000×0.800—×0.9850.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .346 → .272; ISO .058 → .047; BABIP .327 → .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 ROKGreeneville Astros · 144 PAwOBA .297 → .211 (−86)K% 31.9% → 45.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.94%÷1.000×1.420——45.36%
BB% (unintentional) /PA14.58%÷1.000×0.640—×0.9959.29%
HBP% /PA1.39%—×0.740—×0.9951.02%
Singles /BIP32.88%÷1.000×0.840×1.050×0.99528.85%
Doubles /BIP4.11%÷1.000×0.740×1.050×0.9953.18%
Triples /BIP0.00%÷1.000×0.740×1.050×0.9950.00%
Home runs /BIP1.37%÷1.000×0.800—×0.9951.09%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .297 → .211; ISO .050 → .035; BABIP .375 → .324. 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 — .