ADVERTISEMENT

NET Changes

SFspidur

Spider's Club
Gold Member
May 5, 2003
20,080
16,902
113
Winning percentage, adjusted winning percentage, and scoring margin are no longer being used directly, and everything has been boiled down to just two factors: team value index (TVI) and adjusted net efficiency. SOS calculations are also being "modernized."

https://www.ncaa.com/news/basketbal...etball-committee-announces-change-net-2020-21

NET%20Explained%20color_0.jpg
 
  • Like
Reactions: plydogg
Glad to see they are trying to improve it.
Interesting that they removed the components that those of us "playing along at home" could calculate ourselves.

I still think the NET places too much emphasis on game location, especially when used in concert with the Quad system.
 
Seems like a good move, most of the features used in the previous NET iteration were very highly correlated. This is just MOV component and record component.

I also like them assigning a difficulty rating to individual games based on opponent and location. It will be much easier to compare games between teams than using the very coarse quadrants.
 
Glad to see they are trying to improve it.
Interesting that they removed the components that those of us "playing along at home" could calculate ourselves.

I still think the NET places too much emphasis on game location, especially when used in concert with the Quad system.

Location has a huge impact on game outcomes. It needs to factor heavily in determining the difficulty of a game. Not weighing location correctly can give enormous advantage to teams that can get tons of home games against decent competition (aka the power conferences)
 
Would love to see what the year end NET rankings this year would have looked like with the new NET. Hopefully, they looked at that and tested it to at least make sure there were not too many crazy too high or low NETS out there.
 
Location has a huge impact on game outcomes. It needs to factor heavily in determining the difficulty of a game. Not weighing location correctly can give enormous advantage to teams that can get tons of home games against decent competition (aka the power conferences)
I absolutely agree that it should be a big factor. It is now used to adjust both components in the "new" NET, and location plays a big role in the Quad system.
It looks a little bit like double-counting.

I'm all for the constant improvement. Kudos to the NCAA.
 
I sense more screwing of anybody not a P5 team. I especially loved this part: "The NCAA Division I Men’s Basketball Committee announced that beginning with the 2020-21 season, the NCAA Evaluation Tool will be changed to increase accuracy . . ." Now explain to me how its ever "accurate". We don't know what teams are better etc., that's what the metric is trying to help shed some light on, but stating it will be more accurate requires the NCAA to have determined what the answer should be and then adjusted the formula to get to the the answer they determined was accurate. I'd love to see the NCAA publish the 2019-2020 Net rankings under the old system and the new system side-by-side and see who gets effected how. I would bet a ton of money that P5 go up and other go down overall. I think one thing that really annoyed the big boys this year was that Dayton and Gonzaga were going to be 1 (at worst 2) seeds with gaudy records but didn't compete in a P5 conference. I am sure this was "inaccurate" since they all "know" the best teams must be in the P5.

Also got a kick out of this one: "In addition, the overall and non-conference strength of schedule has been modernized to reflect a truer measure for how hard it is to defeat opponents. The strength of schedule is based on rating every game on a team's schedule for how hard it would be for an NCAA tournament-caliber team to win. It considers opponent strength and site of each game, assigning each game a difficulty score. Aggregating these across all games results in an overall expected win percentage versus a team's schedule, which can be ranked to get a better measure of the strength of schedule."

So I am quite certain that all P5 conference games will be "assigned" (whatever that means) a high "difficulty" score while virtually no games not involving a P5 opponent will measure up! I hate strength of schedule metrics. I get it that going 22-8 against a "tough" schedule is better (probably) than going 22-8 against a "weaker" schedule but not sure how to measure which team is better in that scenario - - - only which schedule was better. Take this example (and its totally hypothetical, it wouldn't really happen but illustrates the problem with SOS) - - - Team A and Team B play 20 games against exactly the same opponents in the same places (i.e home or away) and those 20 teams are a mix of great, good, OK and bad. Both A and B go 12-8 in those games- - winning and losing the same games. In their other 10 games, Team A plays 10 patsies (from their weak conference) and wins them all. Team B plays 10 better (but not great or even good teams) and wins them all as well. Team B would have a higher SOS and a higher NET but its entirely possible and even probable (based on the results of the 20 games that were the same) that Team A would beat all of them as well. Nothing in those results really says Team B is better - - only that Team B played better (less bad??) teams.

I think it has to count for something when a team goes 18-12 against a tough schedule and another team went 23-7 against a weaker schedule but just not sure how you measure it. But the real problem is that the metric BY DEFINITION does not measure your performance, it measures the performance of who you played and then assumes that because someone played better teams than you, it must be a better team than you. There is no metric that measures your performance against that schedule.

I'd love to see a metric that ranks strength of schedule on winning percentage against certain levels of teams - - so its what you did with your chances against Top teams that counts, not how many chances you had. So, in my example, if in the 20 common games they both were 1 and 3 against "great" teams, 3 and 5 against "good" teams, 4-0 against OK teams and 4-0 against "bad" teams and Team A beat all "bad" teams in their other 10 and Team B beat all "OK" teams in their other 10, their NET would be the same because their winning percentages in each group (great, good, OK and bad) would be the same). This has its flaws too though. If a team plays no games against great teams (for example) whats their percentage for that group? And is it fair if a school plays only one game against a "good" team and wins it so it gets a 1.000 winning percentage for that category while another team goes 8-2 against good teams (for an .800 winning percentage). Note sure i actually believe 1-0 is better than 8-2 against good teams?

But back to my main point, i guarantee you this is more "accurate" because it ranks Power 5 teams higher in general than the old way!
 
Last edited:
Philly, great point about Dayton's and Gonzaga's success last year possibly making the power teams want to change the NET. And, I would bet they played around with the formula and put in this year's records with the new NET to make sure it benefited the P6 teams before finalizing anything. Palm wrote a good article on cbs. Notice what he said at the end:

"A final thought. This is likely to skew even more to the power teams. That is just an educated guess, but the more important margin of victory becomes, the more that will benefit the power schools. It means they can still play some bad teams, but mitigate the SOS impact of that by running up the score as high as they can."

https://www.cbssports.com/college-b...uild-the-march-madness-bracket-key-takeaways/
 
Would love to see what the year end NET rankings this year would have looked like with the new NET. Hopefully, they looked at that and tested it to at least make sure there were not too many crazy too high or low NETS out there.

I agree if they had any transparency they would make public the new numbers against last year numbers as a comparison.

The adjusted efficiency statement sounded positive but like Philly stated the part about assigning each game a difficulty score raises many doubts. How is that score determined exactly? No doubt tilted to power conf teams.
 
ADVERTISEMENT
ADVERTISEMENT