Difference between revisions of "Premier League"
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* PL scores were plain numbers, which were not very interpretable. | * PL scores were plain numbers, which were not very interpretable. | ||
− | The alternate PL scoring method was simply ''win''–''loss'' (''rank''). For instance, [[Diamond]] 1.8. | + | The alternate PL scoring method was simply ''win''–''loss'' (''rank''). For instance, [[Diamond]] 1.8.22 [[Diamond/Version History|had a PL score]] of '''923-1 (2nd)'''. |
== PWIN == | == PWIN == | ||
Then it was realized that PL scores would increase as the number of competitors increased. This meant that current PL scores could not be compared with historical PL scores. | Then it was realized that PL scores would increase as the number of competitors increased. This meant that current PL scores could not be compared with historical PL scores. | ||
− | PL was replaced with '''Percentage Won (PWIN)''', which | + | PL was replaced with '''Percentage Won (PWIN)''', which is simply the percentage of enemies a robot could win against. For instance, [[Gilgalad]] currently has a PWIN score of '''99.48%'''. |
Revision as of 16:51, 21 September 2017
Premier League (PL) is a method of scoring robots in the RoboRumble.
Original Premier League
The original PL scoring method, as proposed by PEZ, was:
- Each robot either wins, loses, or ties against each of its enemies.
- A win (above 50% average score) earns a bot 2 points.
- A tie (exactly 50% average score) earns a bot 1 point.
- A loss (below 50% average score) earns a bot 0 points.
- Each bot's PL ranking is the sum of its points.
PL scoring was implemented in Darkcanuck's RoboRumble server and many previous servers. For example, DrussGT 2.0.5 had a PL score of 1616.
Alternate PL Format
Eventually, it was realized that:
- Ties (exactly 50% score) didn't actually happen.
- PL scores were plain numbers, which were not very interpretable.
The alternate PL scoring method was simply win–loss (rank). For instance, Diamond 1.8.22 had a PL score of 923-1 (2nd).
PWIN
Then it was realized that PL scores would increase as the number of competitors increased. This meant that current PL scores could not be compared with historical PL scores.
PL was replaced with Percentage Won (PWIN), which is simply the percentage of enemies a robot could win against. For instance, Gilgalad currently has a PWIN score of 99.48%.