The RPI formula is .25(WP)+.5(OWP)+.25(OOWP)
I've been thinking about this and how to manipulate the RPI system. I think the most important thing to do is wait until alot of other teams have already completed their schedules; this will become apparent in asecond. I alsothink there are3 types of teams that you want to schedule:
1. Small Conference schools that are projected to finish close to the top of their conference and schedule a bunch of top tier teams. Since WP and OOWP account for 50% of the factor. Since they scheduled a bunch of big boys, they are going to have alot of losses early, but as long as they do well in their conference,you could expect to get half or .25 of the OWP factor. Since other teams in their conference played major conference schools too and are also going to lose to the team in question, we wouldn't realize the full .25 of OOWP. I think .125 is conservative because these teams will be playing "buy" games and thus will only take a .6 (as opposed to 1) for a loss. So lets go with .15. That comes to a realized weighting of at least .65 if we win the game.
2. The big boys - If you play a team like duke that won 88% of their games this year, that is a realized OWP factor of .44. Lets go conservative with OOWP and use .125. If we somehow won the game, it would be realized weighting of .81. But since we more than likely would not, even in a loss it would be a weighting of .31. And if we played them on the road, it would be .41 OWP+OOU-?(.25*.6). In this case, worst case scenario isn't that bad so it could be considered low risk with high reward.
3. Top mid-major teams are probably the best teams to schedule. Their conference opponents will likely be getting a majority of their losses on the road, and they play alot of major conference teamsso we will use .175 for OOWP. Butler and Gonzago had similar records, we will go with 24-9...that is a winning percentage of 73%. This factors into an OWP of 36.5. Thus a win would result in a realized weighting of .79 and would be alot more probable than beating duke. While a loss would result in a realized weighting of .29 still.
The worst teams to schedule in order are the bottom teams of mid/small conferences, followed by the bottom teams of major conferences, followed by the middle teams of mid/small conferences. Unfortunately, our non-conference slate consists of nothing but these 3 things.
I've been thinking about this and how to manipulate the RPI system. I think the most important thing to do is wait until alot of other teams have already completed their schedules; this will become apparent in asecond. I alsothink there are3 types of teams that you want to schedule:
1. Small Conference schools that are projected to finish close to the top of their conference and schedule a bunch of top tier teams. Since WP and OOWP account for 50% of the factor. Since they scheduled a bunch of big boys, they are going to have alot of losses early, but as long as they do well in their conference,you could expect to get half or .25 of the OWP factor. Since other teams in their conference played major conference schools too and are also going to lose to the team in question, we wouldn't realize the full .25 of OOWP. I think .125 is conservative because these teams will be playing "buy" games and thus will only take a .6 (as opposed to 1) for a loss. So lets go with .15. That comes to a realized weighting of at least .65 if we win the game.
2. The big boys - If you play a team like duke that won 88% of their games this year, that is a realized OWP factor of .44. Lets go conservative with OOWP and use .125. If we somehow won the game, it would be realized weighting of .81. But since we more than likely would not, even in a loss it would be a weighting of .31. And if we played them on the road, it would be .41 OWP+OOU-?(.25*.6). In this case, worst case scenario isn't that bad so it could be considered low risk with high reward.
3. Top mid-major teams are probably the best teams to schedule. Their conference opponents will likely be getting a majority of their losses on the road, and they play alot of major conference teamsso we will use .175 for OOWP. Butler and Gonzago had similar records, we will go with 24-9...that is a winning percentage of 73%. This factors into an OWP of 36.5. Thus a win would result in a realized weighting of .79 and would be alot more probable than beating duke. While a loss would result in a realized weighting of .29 still.
The worst teams to schedule in order are the bottom teams of mid/small conferences, followed by the bottom teams of major conferences, followed by the middle teams of mid/small conferences. Unfortunately, our non-conference slate consists of nothing but these 3 things.