Dec 06 2020
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For standings with all tiebreaks and ratings using all games in this season regardless of upgrades and also previous season(s) if same version see previous post

Situation before game, simulation about most common position

100k simulations, sorted by who has most 1., then remainder again sorted by who has most >=2., then most >=3., etc.. Columns 1.-8. are how often it ended in simulation at that position. Existing r-mobility points used, future r-mobility points not yet simulated (assigned randomly for drawn results).
eloAdvantage = 44.955 and eloDraw = 366.384 by Exa used

Pos Name 1. 2. 3. 1-3. 4. 5. 6. 7. 8. 9-10. 9. 10.
1. Seer 1.2.1_dev 100.000% 100.000%
2. Weiss 1.2-dev 100.000% 100.000%
3. Tucano 9.02_dev 78.150% 78.150% 21.850%
4. Monolith 20200804 21.850% 21.850% 78.150%
5. Halogen 20201128 100.000%
6. ChessFighter 3.6.0 100.000%
7. FabChess 1.16 100.000%
8. MrBob 1.0.0_dev 100.000%
9. A0lite v0.1.2_BadGyalXL9d 100.000% 100.000%
10. Bagatur 2.2 100.000% 100.000%

Top promotions

Pos 1. 2. 3.
1. Seer 1.2.1_dev Weiss 1.2-dev Tucano 9.02_dev 78.150%
2. Seer 1.2.1_dev Weiss 1.2-dev Monolith 20200804 21.850%

Top promotions, relative order normalized to alphabetical

1. Seer 1.2.1_dev Tucano 9.02_dev Weiss 1.2-dev 78.150%
2. Monolith 20200804 Seer 1.2.1_dev Weiss 1.2-dev 21.850%

Speculate Monolith 20200804 – MrBob 1.0.0_dev 1-0

eloAdvantage = 44.955 and eloDraw = 366.384 by Exa used

Pos Name 1. 2. 3. 1-3. 4. 5. 6. 7. 8. 9-10. 9. 10.
1. Seer 1.2.1_dev 100.000% 100.000%
2. Weiss 1.2-dev 100.000% 100.000%
3. Monolith 20200804 100.000% 100.000%
4. Tucano 9.02_dev 100.000%
5. Halogen 20201128 100.000%
6. ChessFighter 3.6.0 100.000%
7. FabChess 1.16 100.000%
8. MrBob 1.0.0_dev 100.000%
9. A0lite v0.1.2_BadGyalXL9d 100.000% 100.000%
10. Bagatur 2.2 100.000% 100.000%

Top promotions

Pos 1. 2. 3.
1. Seer 1.2.1_dev Weiss 1.2-dev Monolith 20200804 100.000%

Top promotions, relative order normalized to alphabetical

1. Monolith 20200804 Seer 1.2.1_dev Weiss 1.2-dev 100.000%

Speculate Monolith 20200804 – MrBob 1.0.0_dev 1/2-1/2

eloAdvantage = 44.955 and eloDraw = 366.384 by Exa used

Pos Name 1. 2. 3. 1-3. 4. 5. 6. 7. 8. 9-10. 9. 10.
1. Seer 1.2.1_dev 100.000% 100.000%
2. Weiss 1.2-dev 100.000% 100.000%
3. Tucano 9.02_dev 100.000% 100.000%
4. Monolith 20200804 100.000%
5. Halogen 20201128 100.000%
6. ChessFighter 3.6.0 100.000%
7. FabChess 1.16 100.000%
8. MrBob 1.0.0_dev 100.000%
9. A0lite v0.1.2_BadGyalXL9d 100.000% 100.000%
10. Bagatur 2.2 100.000% 100.000%

Top promotions

Pos 1. 2. 3.
1. Seer 1.2.1_dev Weiss 1.2-dev Tucano 9.02_dev 100.000%

Top promotions, relative order normalized to alphabetical

1. Seer 1.2.1_dev Tucano 9.02_dev Weiss 1.2-dev 100.000%

Speculate Monolith 20200804 – MrBob 1.0.0_dev 0-1

eloAdvantage = 44.955 and eloDraw = 366.384 by Exa used

Pos Name 1. 2. 3. 1-3. 4. 5. 6. 7. 8. 9-10. 9. 10.
1. Seer 1.2.1_dev 100.000% 100.000%
2. Weiss 1.2-dev 100.000% 100.000%
3. Tucano 9.02_dev 100.000% 100.000%
4. Monolith 20200804 100.000%
5. Halogen 20201128 100.000%
6. ChessFighter 3.6.0 100.000%
7. FabChess 1.16 100.000%
8. MrBob 1.0.0_dev 100.000%
9. A0lite v0.1.2_BadGyalXL9d 100.000% 100.000%
10. Bagatur 2.2 100.000% 100.000%

Top promotions

Pos 1. 2. 3.
1. Seer 1.2.1_dev Weiss 1.2-dev Tucano 9.02_dev 100.000%

Top promotions, relative order normalized to alphabetical

1. Seer 1.2.1_dev Tucano 9.02_dev Weiss 1.2-dev 100.000%

Output from BayesElo program (this does not take into account tiebreaks)

Rank Player name Points EPoints StdDev ERank 1 2 3 4 5 6 7 8 9
1 Seer 1.2.1/1.2.1_dev 12.5 12.50 0.00 1.00 100 0 0 0 0 0 0 0 0
2 Weiss 1.2-dev 12.0 12.00 0.00 2.00 0 100 0 0 0 0 0 0 0
3 Tucano 9.02_dev 10.5 10.50 0.00 3.00 0 0 100 0 0 0 0 0 0
4 Monolith 20200804 9.5 10.16 0.41 4.00 0 0 0 100 0 0 0 0 0
5 Halogen 20201128 9.5 9.50 0.00 5.00 0 0 0 0 100 0 0 0 0
6 ChessFighter 3.6.0 9.0 9.00 0.00 6.00 0 0 0 0 0 100 0 0 0
7 FabChess 1.16 8.0 8.00 0.00 7.00 0 0 0 0 0 0 100 0 0
8 MrBob 1.0.0_dev 7.0 7.34 0.41 8.00 0 0 0 0 0 0 0 100 0
9 A0lite v0.1.2_BadGyalXL9d 6.5 6.50 0.00 9.00 0 0 0 0 0 0 0 0 100
10 Bagatur 2.2 4.5 4.50 0.00 10.00 0 0 0 0 0 0 0 0 0
Posted inBayesElo