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How is elo calculated? The elo algorithm is using the standard k weight algorithm where 400 point difference is a 90% win likelihood percentage.
The current model uses a default rating of 1500 and a K factor of 32. You can calculate expected win rate and elo gain here.
Design decisions are inspired by Ultimate Tennis Statistics. There's a "newbie rating adjustment" algorithm which allows teams that have close to the default rating to fluctuate much more aggressively.
1 + 18 / (1 + 2^((rating - 1500) / 63)) times the ELO you would have gained or lost is applied.
Furthermore, it is calculated in chronological order.
This decision is because policy is swiss matched but power matched, where all teams with the same amount of wins will debate each other in preliminary rounds.
There are no repeat matches during calculations (No repeat simulations.) This intends to include all TOC tournaments. Elo gains are weighted on tournament prestige.
100% on Octo Bid Tournaments, 90% on Quarters, 85% on Semis, and 80% on Finals
In comparison, currently, the model done on PolicyDebateCentral has a k factor of 16 and they randomize the match ordering.
Then they repeat the results 100 times.
They include TOC tournaments with equal weighting.