numpy vs calix - Match Analysis v33tb2mg063gscm45xfg0lb3 - Online Backgammon

Match Analysis

Light Analytics (3-PLY)
ID/v33tb2mg063gscm45xfg0lb3

Backgammon Overview

calixcalix
2
NR 1934.92 -3.75XP 566
VS
numpynumpy
5
NR 2068.61 +3.75XP 2634

Backgammon Movements

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Backgammon Statistics

World ClassOverall Rating World Class

-0.517 (-6.043%)

Error Total EMG ( MWC )

-0.442 (-6.146%)

-8.3 (-0.097%)

Overall Error Rate mEMG ( MWC )

-6.9 (-0.096%)

1925.7Error Based Absolute FIBS Rating 1963.1
Luck Based FIBS Rating Difference 193.83
-50Actual Result 50
-12.22Overall Luck Adjusted Result 12.22
87.6Checker Play Errors Rating Loss 65.6
36.7Cube Errors Rating Loss 21.3

Backgammon Rolls Analysis

Rolls are generated using provable dice technology.

Verify Rolls
calix
  • 67Total Rolls
  • 9Pairs
  • 483Dice Sum
  • Luckiest Dice
numpy
  • 68Total Rolls
  • 16Pairs
  • 546Dice Sum
  • Luckiest Dice
3 / 4 4 / 10 6 / 0 5 / 1 3 / 2 7 / 7 4 / 10 2 / 2 2 / 6 4 / 1 2 / 3 3 / 5 6 / 0 2 / 6 1 / 4 5 / 4 3 / 2 2 / 2 5 / 1 4 / 1 5 / 4 1 / 1 3 / 4 3 / 4 3 / 2 2 / 3 3 / 2 3 / 4 1 / 3 3 / 1 7 / 7 3 / 5 2 / 2 3 / 4 3 / 1 1 / 2