numpy vs remeduce - Match Analysis rv682bwrrb2cojv9nl6fmjj0 - Online Backgammon

Match Analysis

(3-PLY)
ID/rv682bwrrb2cojv9nl6fmjj0

Backgammon Overview

numpynumpy
1
NR 1910.47 +1.88XP 1754
VS
remeduceremeduce
0
NR 1801.61 -1.88XP 783

Backgammon Movements

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Backgammon Statistics

World ClassOverall Rating World Class

-0.092 (-4.595%)

Error Total EMG ( MWC )

-0.106 (-5.298%)

-5.1 (-0.255%)

Overall Error Rate mEMG ( MWC )

-8.2 (-0.408%)

1874.8Error Based Absolute FIBS Rating 1770.2
1187.81Luck Based FIBS Rating Difference
50Actual Result -50
29.7Overall Luck Adjusted Result -29.7
175.2Checker Play Errors Rating Loss 279.8

Backgammon Rolls Analysis

numpy
  • 19Total
  • 5Pairs
  • 162Sum
  • Luckiest
remeduce
  • 19Total
  • 4Pairs
  • 154Sum
  • Luckiest
0 / 1 2 / 2 2 / 1 0 / 3 0 / 0 0 / 0 2 / 2 2 / 0 0 / 0 0 / 0 1 / 2 2 / 2 2 / 1 0 / 0 1 / 2 2 / 0 0 / 0 4 / 0 0 / 3 0 / 0 2 / 0 1 / 0 0 / 1 0 / 2 0 / 0 1 / 2 0 / 0 0 / 1 1 / 0 1 / 1 0 / 0 2 / 2 4 / 0 0 / 2 1 / 1 0 / 1