HomeFacebook Scrabble League Round 51 Division 1Click any result to see the two players' history
E =
Elo Value

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Kay M
  
Elo: 5438

Michael C
  
Elo: 5234

Neil R
  
Elo: 5347

Matthew M
  
Elo: 5639

Paul C
  
Elo: 5496

Diane P
  
Elo: 5312

Deborah D
  
Elo: 5000

Phil R
  
Elo: 5558

Callie B
  
Elo: 5000

Susan E
  
Elo: 5688

Anton K
  
Elo: 5459

Rachelle W
  
Elo: 5552

Charles M
Elo: 5632
Charles M
381
Kay M
325
Elo:
+5.9
Michael C
400
Charles M
282
Elo:
-21.8
Charles M
429
Neil R
359
Elo:
+3.9
Charles M
433
Matthew M
423
Elo:
+12.2
Paul C
559
Charles M
348
Elo:
-16.5
Charles M
458
Diane P
366
Elo:
+3.3
Charles M
561
Deborah D
367
Elo:
+0.6
Phil R
448
Charles M
356
Elo:
-14.5
Callie B
421
Charles M
386
Elo:
-23.4
Charles M
403
Susan E
389
Elo:
+13.9
Charles M
455
Anton K
365
Elo:
+6.5
Charles M
379
Rachelle W
370
Elo:
+9.3
Progress this roundChange in Elo rating-20.6
for Charles MicallefBest score561 vs Deborah Daniels
Total points scored4871 in 12 games
Average points per game405.9
Total margin79
Best margin194 vs Deborah Daniels
Average margin6.5
 
Personal Bests for Charles Micallef

Top Score: 648
vs Adebiyi Mabadeje who scored 309 in round 171
 
Best Margin: 448
616 - 168 vs Grace Kneier in round 25
 
Best Joint Score: 1106
628 - 478 with Andrew Chang in round 110
 
Charles Micallef was tournament champion
in rounds 35, 39, 52, 54, 60, 62, 66, 69, 85 & 178
 
Charles Micallef had clean sweeps
in rounds 26, 28 & 29


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.