numpy vs a_a12 - Match Analysis akb6eo7r9lmjsmr5ifbergxb - Online Backgammon

Match Analysis

Light Analytics (3-PLY)
ID/akb6eo7r9lmjsmr5ifbergxb

Backgammon Overview

a_a12a_a12
0
NR 1292.62 -1.12XP 5573
VS
numpynumpy
1
NR 2110.55 +1.12XP 2762

Backgammon Movements

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Backgammon Statistics

IntermediateOverall Rating World Class

-0.531 (-26.528%)

Error Total EMG ( MWC )

-0.237 (-11.857%)

-33.2 (-1.658%)

Overall Error Rate mEMG ( MWC )

-7.4 (-0.371%)

911.8Error Based Absolute FIBS Rating 1795.6
Luck Based FIBS Rating Difference N/A
-50Actual Result 50
-86.08Overall Luck Adjusted Result 86.08
1138.2Checker Play Errors Rating Loss 254.4

Backgammon Rolls Analysis

Rolls are generated using provable dice technology.

Verify Rolls
a_a12
  • 34Total Rolls
  • 4Pairs
  • 275Dice Sum
  • Luckiest Dice
numpy
  • 34Total Rolls
  • 4Pairs
  • 224Dice Sum
  • Luckiest Dice
0 / 0 1 / 4 3 / 5 0 / 1 5 / 3 1 / 0 1 / 4 0 / 2 1 / 2 0 / 6 1 / 1 1 / 0 3 / 5 1 / 2 1 / 0 1 / 2 1 / 1 0 / 2 0 / 1 0 / 6 1 / 2 1 / 2 0 / 2 2 / 1 5 / 3 1 / 1 1 / 1 0 / 2 1 / 0 1 / 0 1 / 0 1 / 0 0 / 2 2 / 1 1 / 0 1 / 0