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Rank Player Rating

mu (µ)

Uncertainty

σ

TrueSkill Rating

γ

1 Sharp 32.03 2.37 24.91
2 n0va 28.82 1.98 22.89
3 eligh_ 29.18 2.16 22.69
4 cl0wn 30.15 2.85 21.60
5 RaNus 28.29 2.37 21.17
6 Milk-Man 26.92 1.93 21.14
7 lotus 28.15 2.38 21.00
8 sleep 29.32 2.78 20.98
9 NaP! 31.82 3.62 20.97
10 xeri 28.49 2.63 20.61
11 Lukie 28.58 2.81 20.16
12 brickhead 26.11 2.29 19.24
13 jag420 29.07 3.47 18.66
14 -W- sKILLz 25.04 2.42 17.77
15 King Lyon 24.99 2.70 16.88
16 lel 25.12 2.75 16.86
17 Navox 23.43 2.22 16.77
18 Shmupsii 22.64 1.99 16.67
19 LordKermit 21.82 1.83 16.32
20 vertig0 27.67 3.81 16.23
21 bizzy 22.59 2.15 16.15
22 izzasmurf 23.58 2.49 16.11
23 blue 23.30 2.50 15.80
24 disk 23.44 2.58 15.70
25 SilverEagle 23.70 2.93 14.90
26 hyperlite 22.89 2.78 14.56
27 T1Kevin 30.34 5.55 13.67
28 Stork 25.66 4.06 13.48
29 Eugoogoly 24.55 3.75 13.31
30 lukie 27.12 4.93 12.32
31 Pika-boo 18.58 2.11 12.25
32 A Blind Parakeet 29.73 5.86 12.15
33 _Moose 23.73 3.91 11.99
34 azrael 20.71 3.04 11.58
35 Yoshi 20.36 3.09 11.10
36 Krayvok® 22.20 4.00 10.19
37 raven 17.81 2.65 9.88
38 Rosco 29.38 7.02 8.32
39 iblis 23.69 5.31 7.76
40 pyr0.dx 21.79 4.78 7.46
41 rtcll 26.81 6.73 6.62
42 MissBitch69 29.29 7.58 6.54
43 Texas 28.91 7.56 6.24
44 MaLicE 24.31 6.08 6.08
45 TaTeR 21.96 5.36 5.88
46 joey 28.90 7.67 5.88
47 DL 23.78 6.17 5.28
48 positive squad 25.97 7.45 3.62
49 LordKermit 23.04 6.83 2.55
50 illman 24.31 7.46 1.92
51 Alarik 23.10 7.22 1.44
52 Anonymity 22.89 7.25 1.15
53 eggplant-destroyer 23.49 7.93 -0.30
54 hraerherhe 22.53 7.86 -1.04
55 agroforest economy 22.83 8.07 -1.39
56 TylerMarket 20.95 7.67 -2.05
57 superhudbot 20.06 7.45 -2.28
58 jjwtay 21.24 7.88 -2.40
59 -fr3nzy* 14.06 5.60 -2.73
60 hellraisr 20.31 7.73 -2.88
61 Kelph 20.48 7.85 -3.06

The players TrueSkill ratings has been calculated from a total of 287 games. These rated games are a result of games that have resulted in a Win/Loss and was not a Tied match.

So, what is so special about the TrueSkill ranking system? TrueSkill ranking system skill is characterized by two numbers.

mu (µ)

The average skill of the gamer.

σ

The degree of uncertainty in the gamer’s skill.

As games occur the players mu will change (up or down) and their uncertainty will lower in value giving a stronger consistency for said player.



On the right hand side, a belief curve of the TrueSkill ranking system is drawn. For example, the green area is the belief of the TrueSkill ranking system that the gamer has a skill between level 10 and 20.

Maintaining an uncertainty allows the system to make big changes to the skill estimates early on but small changes after a series of consistent games has been played. As a result, the TrueSkill ranking system can identify the skills of individual gamers from a very small number of games. The following table gives an idea of the average number of games per gamer that the system ideally needs to identify the skill level:

The ranking system maintains a belief in every gamer’s skill using these two numbers. If the uncertainty is still high, the ranking system does not yet know exactly the skill of the gamer. In contrast, if the uncertainty is small, the ranking system has a strong belief that the skill of the gamer is close to the average skill.

This was calculated using Moserware's TrueSkill PHP Implementation.

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