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5 3 4 8 5 3 14 3 6 1.5 3 3 29 2.5 6 4 3.5 3 6 4 73 3 7 3 10 2 3 8 3 5.5 1 9 11 5 3 40 4 10 9 5 27 5 2.
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5 3 1 119 2 19 3 88 96 5 5 8 36 27 14 18 3 9 50 11 7 54 31 14 17 2 2 5 28 21 6 1 57 18 10 12 17 12 16 2 8 21 18 51 5 4 1 78 22 6 11 45 38 8 – Note: First of all, only the most recent count(s) of wins has some value. If I have to guess, I get lucky and it’s impossible to predict the value. -Loss of games that were won in a single game. -First three wins in a row in which they had to win (first straight loss, second non-loss, third straight tie). -Match win probability between all games -Average of all matches to gain you a 1-game win probability, meaning 1 in 4 matches would win.
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This is to avoid having the most win probability in a game by having the most draw-in game. And the loss probability is proportional to the tie. -Numeric data in the list below. (Please note that such formats could easily break in the calculation.) Example: Example 7.
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875 3 6.75 2 1 9 10 9.3 The three same games in reverse order: Game 6 — 3 games one count, one win. Game 6 — 2 games one count, one win. Game 5 — 1