HomeFacebook Scrabble League Round 178 Division 8Click any result to see the two players' history
E =
Elo Value

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jean b
  
Elo: 4823

Elliott M
  
Elo: 4860

Sheryll H
  
Elo: 4775

Lynn G
  
Elo: 4822

Adrienne B
  
Elo: 4890

Lorraine O
  
Elo: 4778

Sue T
  
Elo: 4835

Margaret H
  
Elo: 4794

Andrew D
  
Elo: 4734

Denise L
  
Elo: 4801

Pam B
  
Elo: 4825

Ber M
  
Elo: 4852

Jagdish H
Elo: 5040
Jagdish H
384
jean b
290
Elo:
+5.3
Jagdish H
425
Elliott M
405
Elo:
+6.3
Jagdish H
393
Sheryll H
332
Elo:
+4.3
Jagdish H
456
Lynn G
359
Elo:
+5.3
Jagdish H
410
Adrienne B
368
Elo:
+7.1
Jagdish H
428
Lorraine O
300
Elo:
+4.3
Jagdish H
362
Sue T
336
Elo:
+5.6
Jagdish H
452
Margaret H
293
Elo:
+4.7
Jagdish H
400
Andrew D
332
Elo:
+3.5
Denise L
471
Jagdish H
345
Elo:
-19.2
Pam B
437
Jagdish H
421
Elo:
-18.6
Ber M
402
Jagdish H
376
Elo:
-17.9
Progress this roundChange in Elo rating-9.3
for Jagdish HarithasBest score456 vs Lynn Goold
Total points scored4852 in 12 games
Average points per game404.3
Total margin527
Best margin159 vs Margaret Harris-Walker
Average margin43.9
 
Personal Bests for Jagdish Harithas

Top Score: 495
vs Michael Murray who scored 279 in round 177
 
Best Margin: 291
431 - 140 vs Joseph Bartram in round 176
 
Best Joint Score: 861
463 - 398 with Jenny Martin in round 176
 
Jagdish Harithas had clean sweeps
in rounds 176 & 177


Notes on Ratings
Under the Elo ratings system, the winner of a game gains a number of ratings points and the losing player loses the same number. The number of points won or lost depends on the difference between the ratings of the two players; a player will gain more points by beating a higher-rated player than by beating a lower-rated player.

Where games have been completed, the chart above shows the actual number of ratings points passed from the loser to the winner. Where games are unfinished, two numbers are shown in the form A/B. A is the number of points to be transferred if the player in the row wins and B is the number of points if the player in the column wins.

For example
Mildred
Elo 5051
If Joe wins he will gain 9.5 rating points from Mildred but if Mildred wins she will gain 14.5 rating points from Joe. Mildred stands to earn more than Joe from winning the game because Joe is the higher rated player and is expected to win more often.
Joe
Elo 5123
E: 9.5 / 14.5

In the case of a draw, the lower rated player wins points from the higher rated player, but fewer points than if he or she had won the game.

The value of each game is based on the players' rating at the start of each round. At the end of the round, the points won and lost on each game are added up and the players' rating are adjusted and rounded to the nearest whole number for the next round.

The difference in two players' Elo ratings implies an expectation of how often each of them will win when playing each other. Under the system we use:

Notes on Statistics
μ (mu) is the mean score, ν (nu) is the median score and Mo is the mode. Mean, median and mode are three different kinds of averages. The mean score is the total number of points divided by the number of games played. The median score is the middlemost score (or the mean of the two middlemost scores) when they are sorted from high to low. The mode is the most frequent score and is only helpful after a large number of games.

σ (sigma) is the standard deviation. This is a measure of how consistent the player is. The smaller the value of σ, the more consistent. 68% of the player's scores are within one standard deviation above or below the mean and 95% are within two standard deviations.

Sk is median skewness. Skewness is a measure of how asymmetrical the graph is. There are many measures of skewness; we've chosen median skewness because it's the easiest to calculate! A positive value means there are more scores above the middle of the graph than below, a negative value vice versa.