HomeFacebook Scrabble League Round 175 Division 1Click any result to see the two players' history
E =
Elo Value

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undefined E
  
Elo: 5688

undefined M
  
Elo: 5641

undefined E
  
Elo: 5490

undefined E
  
Elo: 5611

undefined A
  
Elo: 5622

undefined M
  
Elo: 5583

undefined H
  
Elo: 5412

undefined M
  
Elo: 5632

undefined P
  
Elo: 5318

undefined P
  
Elo: 5556

undefined W
  
Elo: 5385

undefined L
  
Elo: 5521

undefined K
Elo: 5640
undefined K
406
undefined E
352
Elo:
+13.6
undefined K
561
undefined M
392
Elo:
+12
undefined K
390
undefined E
346
Elo:
+7.1
undefined E
412
undefined K
402
Elo:
-13
undefined K
460
undefined A
422
Elo:
+11.4
undefined K
402
undefined M
392
Elo:
+10
undefined K
405
undefined H
386
Elo:
+5.1
undefined M
468
undefined K
397
Elo:
-12.3
undefined K
499
undefined P
409
Elo:
+3.3
undefined P
478
undefined K
404
Elo:
-14.8
undefined K
473
undefined W
339
Elo:
+4.5
undefined L
461
undefined K
442
Elo:
-16
Progress this roundChange in Elo rating+10.9
for Matt KennewellBest score561 vs Adebiyi Mabadeje
Total points scored5241 in 12 games
Average points per game436.7
Total margin384
Best margin169 vs Adebiyi Mabadeje
Average margin32
 
Personal Bests for Matt Kennewell

Top Score: 694
vs Maurice Langley who scored 294 in round 132
 
Best Margin: 400
694 - 294 vs Maurice Langley in round 132
 
Best Joint Score: 1141
694 - 447 with Yong Jian Rong in round 153


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.