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E =
Elo Value

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undefined H
  
Elo: 5542

undefined B
  
Elo: 5566

undefined J
  
Elo: 5333

undefined R
  
Elo: 5347

undefined B
  
Elo: 5449

undefined C
  
Elo: 5332

undefined M
  
Elo: 5478

undefined L
  
Elo: 5539

undefined C
  
Elo: 5526

undefined S
  
Elo: 5336

undefined T
  
Elo: 5214

undefined K
  
Elo: 5297

undefined K
Elo: 5472
undefined H
493
undefined K
374
Elo:
-9.6
undefined K
462
undefined B
404
Elo:
+15.2
undefined J
462
undefined K
439
Elo:
-16.6
undefined K
451
undefined R
419
Elo:
+7.9
undefined K
418
undefined B
330
Elo:
+11.2
undefined C
474
undefined K
425
Elo:
-16.6
undefined K
473
undefined M
406
Elo:
+12.2
undefined L
473
undefined K
387
Elo:
-9.7
undefined C
419
undefined K
365
Elo:
-10.1
undefined S
459
undefined K
379
Elo:
-16.5
undefined K
512
undefined T
380
Elo:
+4.4
undefined K
415
undefined K
386
Elo:
+6.4
Progress this roundChange in Elo rating-21.8
for Jerry KokerBest score512 vs Marc Tonti
Total points scored5100 in 12 games
Average points per game425
Total margin-5
Best margin132 vs Marc Tonti
Average margin-0.4
 
Personal Bests for Jerry Koker

Top Score: 628
vs Kpam Sokpo who scored 393 in round 120
 
Best Margin: 330
583 - 253 vs Glenys Logan in round 61
 
Best Joint Score: 1085
583 - 502 with Eeneemphorn Abner in round 97


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.