pasquale vs numpy - Match Analysis 9rh6vg1xg7q97u2rebtock35 - Online Backgammon

Match Analysis

(3-PLY)
ID/9rh6vg1xg7q97u2rebtock35

Backgammon Overview

numpynumpy
1
NR 1955.75 +2.01XP 2022
VS
pasqualepasquale
0
NR 1961.39 -2.01XP 544

Backgammon Movements

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Backgammon Statistics

ExpertOverall Rating Advanced

-0.164 (-8.189%)

Error Total EMG ( MWC )

-0.309 (-15.457%)

-10.2 (-0.512%)

Overall Error Rate mEMG ( MWC )

-19.3 (-0.966%)

1698.6Error Based Absolute FIBS Rating 1386.8
Luck Based FIBS Rating Difference -61.11
50Actual Result -50
1.76Overall Luck Adjusted Result -1.76
351.4Checker Play Errors Rating Loss 663.2

Backgammon Rolls Analysis

Rolls are generated using provable dice technology.

Verify Rolls
numpy
  • 17Total
  • 3Pairs
  • 153Sum
  • Luckiest
pasquale
  • 16Total
  • 2Pairs
  • 110Sum
  • Luckiest
0 / 1 1 / 1 1 / 2 0 / 1 0 / 1 2 / 3 1 / 1 0 / 0 1 / 0 0 / 0 1 / 0 1 / 0 1 / 2 1 / 0 1 / 0 2 / 2 2 / 3 0 / 1 0 / 1 0 / 0 2 / 2 0 / 1 1 / 0 1 / 0 0 / 1 1 / 0 2 / 3 1 / 0 2 / 0 1 / 0 2 / 3 1 / 0 0 / 1 1 / 0 1 / 0 0 / 0