numpy vs joost - Match Analysis gtzlohom2cp1bbelracsfetl - Online Backgammon

Match Analysis

Light Analytics (3-PLY)
ID/gtzlohom2cp1bbelracsfetl

Backgammon Overview

numpynumpy
1
NR 2078.87 +1.05XP 2683
VS
joostjoost
0
NR 1184.16 -1.05XP 1260

Backgammon Movements

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Backgammon Statistics

ExpertOverall Rating Rookie

-0.227 (-11.34%)

Error Total EMG ( MWC )

-0.496 (-24.791%)

-10.3 (-0.515%)

Overall Error Rate mEMG ( MWC )

-49.6 (-2.479%)

1696.1Error Based Absolute FIBS Rating 348.2
1988.51Luck Based FIBS Rating Difference
50Actual Result -50
40.8Overall Luck Adjusted Result -40.8
353.9Checker Play Errors Rating Loss 1701.8

Backgammon Rolls Analysis

Rolls are generated using provable dice technology.

Verify Rolls
numpy
  • 23Total Rolls
  • 4Pairs
  • 169Dice Sum
  • Luckiest Dice
joost
  • 22Total Rolls
  • 11Pairs
  • 253Dice Sum
  • Luckiest Dice
1 / 0 2 / 0 0 / 0 3 / 0 0 / 0 1 / 1 2 / 0 1 / 2 1 / 0 1 / 0 3 / 1 1 / 0 0 / 0 1 / 0 2 / 3 0 / 2 2 / 0 0 / 2 3 / 0 1 / 0 0 / 2 0 / 3 3 / 1 0 / 0 0 / 0 3 / 1 2 / 0 3 / 1 0 / 2 2 / 0 1 / 1 1 / 0 0 / 2 0 / 0 2 / 0 0 / 1