deepy
Expected result calculation?
Win/loss probability.
def expected_result(player_rating, opponent_rating, opponent_rd):
q = math.log(10) / 400
g = 1 / math.sqrt(1 + 3 * (q ** 2) * opponent_rd ** 2 / (math.pi ** 2))
e = 1 / (1 + 10 ** (-g * (player_rating - opponent_rating) / 400))
return e
On Sun, Apr 23, 2023 at 2:02 PM Alex Nordlund @.***> wrote:
As in the changes in rating/rd or as in win/loss probability?
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Sounds good to me! I have another (unrelated) release I need to finish today and I've got a meeting on Monday but before Tuesday is over I should be able to get to it
I should note I copied this code from ChatGPT. It looks right, but I can't read the mathematical notation in the wikipedia articles about how this is calculated and convert it to Python so you might want to double check it.
Sounds good to me! I have another (unrelated) release I need to finish today and I've got a meeting on Monday but before Tuesday is over I should be able to get to it
is it in? Maybe close the issue if it is in.
