Elo Rating After a Match Calculator
Update an Elo rating after a single result — see the expected score, the points won or lost, and both teams’ new ratings.
How it works
Expected = 1 ÷ (1 + 10^((opponent − you) ÷ 400)) · New rating = old + K × (actual − expected)
Elo compares two ratings, turns the 400-point-scaled gap into an expected score between 0 and 1, then nudges each rating toward the actual result. Beating a stronger opponent gains more than beating a weaker one, because the expected score was already high in the easy case. The K-factor sets how quickly ratings move — the winner gains exactly what the loser loses, so the system is zero-sum.
Worked example
Two 1500-rated teams each have an expected score of 0.5. If you win with K = 32, you gain 32 × (1 − 0.5) = 16 points to reach 1516, and your opponent drops to 1484.
Sources: Elo rating system — Wikipedia
Frequently asked questions
What K-factor should I use?
Common choices are 32 for casual or fast-moving ratings, 24 for club play and 16 for established elite players. A larger K makes ratings react faster but noisier.
Why did I gain so few points for beating a weaker team?
Because Elo already expected you to win, your expected score was near 1, so an actual win of 1 leaves little gap to reward. Upsets over stronger opponents move ratings the most.
How is this different from a plain Elo rating calculator?
This one applies a single match result and returns both teams’ updated ratings and the points exchanged, rather than only estimating win probability from the current ratings.
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This calculator is for educational purposes. Double-check important results before acting on them.