smathis30
Ramblin' Wreck
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One of the big things i see on this site is wondering whether or not GT is truly undervalued by the media during pre season ACC polls.
Went back and the TL;DR results are: Yes, GT is undervalued, but that is moreso a victim of Coastal Chaos then bias.
Went back and scraped the preseason ACC expectations since 2013, when both divisions moved the 7 teams. Originally tried pulling earlier, but couldn't find a satisfying way to try and turn 6 team divisions into average wins for teams finishing in 7th place. Numbers never really turned out well. This information is available on Wikipedia, including standings for those seasons as well. I edited them slightly, in the sense that I made vacated wins count and used those to recalibrate standings, which really only effected 2013, where the Coastal standings sans post season bans would have been 1) UNC (they received rings on accident lol 2) Miami and 3) Georgia Tech by the way tie breakers would have gone. You can argue about ethics all day long, but at the end of the day, these psuedo standings will IMO give a better glimpse at how good those teams were those years. Those true positions also don't have any effect whatsoever on my math later on, so even if you disagree, it has 0 impact.
So what i did:
Chart A: Preseason predictions in rankings
Chart B: Post season rankings
Chart C: Confrence wins
Chart D: Average wins for that finish in the coastal, which are as follows:
1st: 6.5
2nd: 5.2
3rd: 4.5
4th:4.2
5th: 3.5
6th: 2.7
7th: 1.2
Which in short, is.... not very good. low cieling, and huge middle. With rounding, you have 5 teams expected to get between 3 and 5 wins every season, which is.... not good. Especially with predicting. If you miss a single game prediction, it can move a team up to 2 spots down in the coastal rankings.
and chart E: Which used the ranking in chart A for that season with the average wins in chart D for that expected finish, and subtracted that from Chart C to find out what bias existed. Expected wins vs. actual wins.
With that the results are:
Negative numbers are exceeding preseason polls, positive numbers are failing to meet those expectations.
Those are, when ranked from most underrated to most overrated:
1. Pitt
2. UVA
3. Duke
4. Virginia Tech
5. Georgia Tech
6. UNC
7. Miami
If you remove the 2015 season for GT and the 2013 season for Duke, which are outliers, they switch positions. So GT is 3rd at 0.90 and Duke is 5th at 0.77
So in short, Pitt, UVA, and GT on average win 1 more game than expected.
Miami, Duke, and UNC all lost 1 more game than expected
Virginia Tech has finished right where they were expected.
If we go back to the chart, this can potentially explain why there does seem to be a perceived bias. Winning 1 more game than expected would net a change in 2 positions, as opposed to the Atlantic (or really any other confrence/division) which would result in a change of potentially 1 rank. Add in tie breakers, which with 5 teams finishing within 2 games of each other, would by definition have to occur at least twice.
So in short, the bias does exist, but spread across multiple teams, and the nature of the middle of the pack being 80% of the division makes that bias seem larger than what it truly is. Every game matters.
Went back and the TL;DR results are: Yes, GT is undervalued, but that is moreso a victim of Coastal Chaos then bias.
Went back and scraped the preseason ACC expectations since 2013, when both divisions moved the 7 teams. Originally tried pulling earlier, but couldn't find a satisfying way to try and turn 6 team divisions into average wins for teams finishing in 7th place. Numbers never really turned out well. This information is available on Wikipedia, including standings for those seasons as well. I edited them slightly, in the sense that I made vacated wins count and used those to recalibrate standings, which really only effected 2013, where the Coastal standings sans post season bans would have been 1) UNC (they received rings on accident lol 2) Miami and 3) Georgia Tech by the way tie breakers would have gone. You can argue about ethics all day long, but at the end of the day, these psuedo standings will IMO give a better glimpse at how good those teams were those years. Those true positions also don't have any effect whatsoever on my math later on, so even if you disagree, it has 0 impact.
So what i did:
Chart A: Preseason predictions in rankings
Chart B: Post season rankings
Chart C: Confrence wins
Chart D: Average wins for that finish in the coastal, which are as follows:
1st: 6.5
2nd: 5.2
3rd: 4.5
4th:4.2
5th: 3.5
6th: 2.7
7th: 1.2
Which in short, is.... not very good. low cieling, and huge middle. With rounding, you have 5 teams expected to get between 3 and 5 wins every season, which is.... not good. Especially with predicting. If you miss a single game prediction, it can move a team up to 2 spots down in the coastal rankings.
and chart E: Which used the ranking in chart A for that season with the average wins in chart D for that expected finish, and subtracted that from Chart C to find out what bias existed. Expected wins vs. actual wins.
With that the results are:
Negative numbers are exceeding preseason polls, positive numbers are failing to meet those expectations.
Those are, when ranked from most underrated to most overrated:
1. Pitt
2. UVA
3. Duke
4. Virginia Tech
5. Georgia Tech
6. UNC
7. Miami
If you remove the 2015 season for GT and the 2013 season for Duke, which are outliers, they switch positions. So GT is 3rd at 0.90 and Duke is 5th at 0.77
So in short, Pitt, UVA, and GT on average win 1 more game than expected.
Miami, Duke, and UNC all lost 1 more game than expected
Virginia Tech has finished right where they were expected.
If we go back to the chart, this can potentially explain why there does seem to be a perceived bias. Winning 1 more game than expected would net a change in 2 positions, as opposed to the Atlantic (or really any other confrence/division) which would result in a change of potentially 1 rank. Add in tie breakers, which with 5 teams finishing within 2 games of each other, would by definition have to occur at least twice.
So in short, the bias does exist, but spread across multiple teams, and the nature of the middle of the pack being 80% of the division makes that bias seem larger than what it truly is. Every game matters.