how bots like maps
I decided to analyze the maps to see how bots feel about them overall. This data is derived from yesterday’s big table of how much bots like each SSCAIT map. The “spread” column is the mean of the absolute value of the Elo deviation numbers for a given map, across all the bots. I thought of calling it “controversy”; it measures how much bots like or dislike the map. Maps that all bots do OK on get low numbers; maps that some bots love and others hate get high numbers.
The “RMS” column is the root mean square of the same data. Statistically, it’s a fairer measure of the differences. It’s bigger because it puts more weight on outliers. The two measures don’t agree closely.
Destination is the most “controversial” map, with 60 Elo spread. If you pick one bot that likes Destination and one bot that dislikes it, on average the bot that likes it will have a 60 Elo advantage, which means a 59% win rate if the bots are otherwise even—nothing devastating. Neo Moon Glaive has Elo spread 41 or about 56% advantage, not much different. Even if you go with the RMS number, the peak 81 Elo RMS difference means a 61% win rate, still not much different.
| map | spread | RMS |
|---|---|---|
| Benzene | 45 | 57 |
| Destination | 60 | 78 |
| HeartbreakRidge | 53 | 81 |
| NeoMoonGlaive | 41 | 53 |
| TauCross | 51 | 74 |
| Andromeda | 49 | 70 |
| CircuitBreaker | 54 | 69 |
| EmpireoftheSun | 50 | 69 |
| FightingSpirit | 51 | 72 |
| Icarus | 46 | 60 |
| Jade | 50 | 64 |
| LaMancha1.1 | 49 | 65 |
| Python | 47 | 60 |
| Roadrunner | 46 | 63 |
Bottom line: On this analysis, the maps don’t seem to be distorting the competition. No highly “controversial” maps are introducing widespread unfairness.
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