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Luck in Major League Baseball

By Dr. Ed Feng 4 Comments

Recently, we discussed how Runs Created and Base Runs can be used to estimate luck in baseball. Here are the results for all teams through July 23, 2011.

Luck in run prevention:
ARI has given up -1.23469494633 less runs than expected
ATL has given up -3.62709441451 less runs than expected
BAL has given up -9.11289297884 less runs than expected
BOS has given up 20.6822005375 more runs than expected
CHC has given up 11.2515196233 more runs than expected
CHW has given up -0.436809763437 less runs than expected
CIN has given up -16.0975518601 less runs than expected
CLE has given up 2.83674501135 more runs than expected
COL has given up -8.35812534013 less runs than expected
DET has given up 17.1942251813 more runs than expected
FLA has given up 5.96916287428 more runs than expected
HOU has given up 4.94569383653 more runs than expected
KCR has given up -16.7197652258 less runs than expected
LAA has given up -28.6712041637 less runs than expected
LAD has given up -1.87349489076 less runs than expected
MIL has given up 16.2299935099 more runs than expected
MIN has given up 9.77368625062 more runs than expected
NYM has given up 3.56993614839 more runs than expected
NYY has given up -18.665513587 less runs than expected
OAK has given up 3.08359511913 more runs than expected
PHI has given up -30.7048037442 less runs than expected
PIT has given up -36.2546001996 less runs than expected
SDP has given up -18.0496995701 less runs than expected
SEA has given up 9.5135694625 more runs than expected
SFG has given up -3.70363003481 less runs than expected
STL has given up 2.64330956604 more runs than expected
TBR has given up -4.620950369 less runs than expected
TEX has given up 6.06547492118 more runs than expected
TOR has given up -0.862096798709 less runs than expected
WSN has given up -20.6411033439 less runs than expected

Luck in run production:
ARI has scored 4.59817863413 more runs than expected
ATL has scored -3.84390920899 less runs than expected
BAL has scored -26.5372500828 less runs than expected
BOS has scored -10.7604018725 less runs than expected
CHC has scored -14.5722967519 less runs than expected
CHW has scored -8.17391509568 less runs than expected
CIN has scored 10.6377091377 more runs than expected
CLE has scored 13.1857474044 more runs than expected
COL has scored -3.54015914982 less runs than expected
DET has scored -17.55991094 less runs than expected
FLA has scored -10.6324611979 less runs than expected
HOU has scored -12.9865003902 less runs than expected
KCR has scored -0.866987671373 less runs than expected
LAA has scored -30.3350973854 less runs than expected
LAD has scored -19.1635769607 less runs than expected
MIL has scored -7.41465249876 less runs than expected
MIN has scored 19.3868500361 more runs than expected
NYM has scored -12.7876028756 less runs than expected
NYY has scored 13.8893535217 more runs than expected
OAK has scored 1.27552447552 more runs than expected
PHI has scored 7.21185540044 more runs than expected
PIT has scored 6.71795645356 more runs than expected
SDP has scored 0.74091295945 more runs than expected
SEA has scored -2.76855859867 less runs than expected
SFG has scored -13.8758209614 less runs than expected
STL has scored -6.83208792351 less runs than expected
TBR has scored -2.95337872315 less runs than expected
TEX has scored 0.204966826497 more runs than expected
TOR has scored 9.57253706526 more runs than expected
WSN has scored 6.71034733652 more runs than expected

Filed Under: Major League Baseball, Sabermetrics

Comments

  1. Carl Rouss says

    July 20, 2016 at 3:43 pm

    show me a match up where Cluster Luck
    works and which team it would favor
    please
    carl

    Reply
    • Dr. Ed Feng says

      August 2, 2016 at 7:29 pm

      Sorry I missed this Carl.

      I post my predictions every day here: https://thepowerrank.com/predictions/

      This should give you an idea about which teams cluster luck (or Base Runs) favors.

      Reply
  2. Leo Peschio says

    March 27, 2019 at 10:59 am

    I used Joe Peta’s regression analysis to determine each teams cluster luck in run production, but he doesn’t specify how to do the same for run prevention… how do i do this? In his book trading bases he regresses Hits per Run with ISO SLG and OBP…what stats do i use to find this out for Runs Allowed?

    Reply
    • Dr. Ed Feng says

      April 24, 2019 at 11:45 am

      You can back these numbers out of typical box score data.

      Reply

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