numpy vs swam22 - Match Analysis dv9dfzkft0ofeo7pndtsw2uc - Online Backgammon

Match Analysis

Light Analytics (3-PLY)
ID/dv9dfzkft0ofeo7pndtsw2uc

Backgammon Overview

numpynumpy
0
NR 1945.22 -3.26XP 2004
VS
swam22swam22
3
NR 2011.41 +3.26XP 1525

Backgammon Movements

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Backgammon Statistics

AdvancedOverall Rating Expert

-0.9 (-13.227%)

Error Total EMG ( MWC )

-0.805 (-15.027%)

-17.7 (-0.259%)

Overall Error Rate mEMG ( MWC )

-13.9 (-0.259%)

1771.2Error Based Absolute FIBS Rating 1800.8
-1669.51Luck Based FIBS Rating Difference
-50Actual Result 50
-46.54Overall Luck Adjusted Result 46.54
198Checker Play Errors Rating Loss 239
80.8Cube Errors Rating Loss 10.2

Backgammon Rolls Analysis

Rolls are generated using provable dice technology.

Verify Rolls
numpy
  • 73Total Rolls
  • 16Pairs
  • 647Dice Sum
  • Luckiest Dice
swam22
  • 74Total Rolls
  • 14Pairs
  • 601Dice Sum
  • Luckiest Dice
1 / 2 8 / 2 2 / 8 3 / 4 4 / 7 3 / 5 8 / 2 4 / 2 1 / 2 0 / 3 3 / 3 3 / 4 2 / 8 1 / 2 3 / 4 5 / 2 4 / 4 4 / 4 3 / 4 0 / 3 5 / 2 2 / 3 1 / 5 5 / 3 4 / 7 3 / 3 4 / 4 1 / 5 3 / 2 5 / 4 3 / 5 3 / 4 4 / 4 5 / 3 5 / 4 3 / 1