Manipulating the NET | Page 13 | Syracusefan.com

Manipulating the NET

i predict the NCAA will close the loophole next season and teams will try to schedule weak road q4 teams but get burned for it
 
It is a long time since committee announced that they switched from RPI to NET. Since then there is no new announcement, we can assume NCAA keeps using NET to evaluate teams.
Ha. I guess you're right. It seems like forever and a day since we got in so I really haven't followed NET or other criteria very closely. I was thinking about something similar just the other day. I haven't watched a non-syracuse basketball game in a loooong time. For me, there isn't any purpose. I used to like to watch other teams and root for our interests. Lately, it just hasn't mattered.
 
I’m sure Le Moyne wouldn’t mind hosting us.
I doubt we would ever play at LeMoyne (no matter what the NET implications are). But I'm sure they would be happy to play in the Dome.

This buy game would fund most of their athletic department for the year.

It makes too much sense not to happen.
 
I doubt we would ever play at LeMoyne (no matter what the NET implications are). But I'm sure they would be happy to play in the Dome.

This buy game would fund most of their athletic department for the year.

It makes too much sense not to happen.
Or call it a Le Moyne home game, they needed the dome to house the crowd for the road team.
 
So I guess the advanced metrics having Bama so highly rated early in the season may have been onto something.
 
So I guess the advanced metrics having Bama so highly rated early in the season may have been onto something.
Do we have any analytics people on our staff? Seems that we’re Syracuse University, we should be on the cutting edge of applying analytics to our sports teams.
 
Do we have any analytics people on our staff? Seems that we’re Syracuse University, we should be on the cutting edge of applying analytics to our sports teams.
Sounded like the calculations with the NET weren’t known equally by all. In addition some OOC games are set up sometimes years ahead of time so there’s a time element involved in trying to maximize analytics in a timely fashion.
 
So I guess the advanced metrics having Bama so highly rated early in the season may have been onto something.
During the selection show the announcers stated that Clemson’s road win in November @ Alabama was the best out-of-conference with by any ACC team, so out of 165 games. So even with Alabama slipping in the AP poll towards the end of the year, their metrics were still strong. And as you stated, we see that the NET got at least that one right. Of course, many others can certainly be questioned. Nothings perfect unfortunately.
 
So I guess the advanced metrics having Bama so highly rated early in the season may have been onto something.
yeah and at least they earned it to some degree by playing an insane OOC schedule (Purdue, Arizona, Creighton, Clemson, Oregon, Ohio State) as opposed to those Big 12 bums destroying the worst teams in D1
 
This team did everything possible to kill its own NET (3 factors below). From what we are hearing about this team's mindset and attitude after the season was completed, perhaps it shouldn't be a surprise.

The NET is not perfect but I don't think we had the "right mindset" to take advantage, much less not be hurt by the NET. I'm hoping that the mindset of the team next year is perhaps more normal so we don't get hurt by it.

1) Cruising against bad teams, letting them stay in the game way too long. (that's a mindset) Our Q4 win margin was abysmal. Rightly or wrongly this is a major factor that drives the NET and the 2024 Orange were not the team to take advantage of it. We were probably one of the worst P6 team in Q4 win wargin. In fact scheduling more Q4 games might have made our NET worse, because we would be below margin expectation in those games.

2) Consistently giving up large leads that hurts margins. (once again part of that is a mindset)

3) Getting your ass totally handed to you once you face some adversity in a game and getting blown out going away (once again part of that is a mindset)
 
Last edited:
Post in Progress

1. Iowa 30.8 (6)
2. Pitt 30.6 (7)
3. Oklahoma 27.1 (8)
4. St. John's - 26 (7)
5. Ohio St - 26 (5)
6. Villanova - 24.5 (6)
7. Butler - 23.4 (7)
8. Wake - 23.2 (6)
9. UCF - 23.1 (8)
10. Miami - 23.0 (7)
11. Utah - 22.8 (5)
12. Minnesota - 22.6 (9)
13. Virginia Tech - 22.2 (6)
14. Maryland - 21 (7)
15. Cincy - 20.3 (9)
16. Seton Hall - 19.1 (9)
17. LSU - 18.9 (8)
18. Rutgers - 18.6 (7)
19. Providence - 18.3 (11)
20. Washington - 18.3 (4)
21. Oregon St - 17 (6)
22. Penn St - 16.3 (6)
23. Xavier - 16.3 (8)
24. Oklahoma St - 16.0 (7)
25. USC - 16.0 (5)
26. Georgia Tech - 15.3 (3)
27. Boston College - 15 (7)
28. Kansas St - 13.8 (5)
29. Florida St - 12.6 (5)
30. UCLA - 12.3 (6)
31. Indiana - 12.2 (6)
32. Georgia - 12.2 (6)
33. Stanford - 11.4 (5)
34. Michigan- 11.3 (3)
35. Arkansas - 10.9 (7)
36. Arizona St - 9.8 (4)
37. Ole Miss - 9.6 (7)
38. Syracuse - 9.3 (4)
39. Georgetown - 9.1 (9)
40. Vanderbilt - 8 (5)
41. Louisville - 7.8 (6)
42. Notre Dame - 4.7 (6)
43. California - 4.3 (4)
44. Depaul - 2.7 (6)
45. West Virginia - 2 (4)
 
Last edited:
Sounded like the calculations with the NET weren’t known equally by all. In addition some OOC games are set up sometimes years ahead of time so there’s a time element involved in trying to maximize analytics in a timely fashion.

I thought basketball schedules were made in the offseason, not years ahead. That was always true of football schedules, (and I never knew why: it's all about phone calls and now E-Mails).
 
Post in Progress

1. Iowa 30.8 (6)
2. Pitt 30.6 (7)
3. Oklahoma 27.1 (8)
4. St. John's - 26 (7)
5. Ohio St - 26 (5)
6. Villanova - 24.5 (6)
7. Butler - 23.4 (7)
8. Wake - 23.2 (6)
9. UCF - 23.1 (8)
10. Miami - 23.0 (7)
11. Utah - 22.8 (5)
12. Minnesota - 22.6 (9)
13. Virginia Tech - 22.2 (6)
14. Maryland - 21 (7)
15. Cincy - 20.3 (9)
16. Seton Hall - 19.1 (9)
17. LSU - 18.9 (8)
18. Rutgers - 18.6 (7)
19. Providence - 18.3 (11)
20. Washington - 18.3 (4)
21. Oregon St - 17 (6)
22. Penn St - 16.3 (6)
23. Xavier - 16.3 (8)
24. Oklahoma St - 16.0 (7)
25. USC - 16.0 (5)
26. Georgia Tech - 15.3 (3)
27. Boston College - 15 (7)
28. Kansas St - 13.8 (5)
29. Florida St - 12.6 (5)
30. UCLA - 12.3 (6)
31. Indiana - 12.2 (6)
32. Georgia - 12.2 (6)
33. Stanford - 11.4 (5)
34. Michigan- 11.3 (3)
35. Arkansas - 10.9 (7)
36. Arizona St - 9.8 (4)
37. Ole Miss - 9.6 (7)
38. Syracuse - 9.3 (4)
39. Georgetown - 9.1 (9)
40. Vanderbilt - 8 (5)
41. Louisville - 7.8 (6)
42. Notre Dame - 4.7 (6)
43. California - 4.3 (4)
44. Depaul - 2.7 (6)
45. West Virginia - 2 (4)

Before I include analysis behind the numbers (there are some limits to the data), can anybody take a guess at what this list of 45 teams, for which Syracuse ranks #38, represents?
 
Before I include analysis behind the numbers (there are some limits to the data), can anybody take a guess at what this list of 45 teams, for which Syracuse ranks #38, represents?
Margin of victory over Q4 opponents, and how many Q4 games played.
Maybe.
 
Margin of victory over Q4 opponents, and how many Q4 games played.
Maybe.
Correct .. for the 45 “P6” teams that missed the tournament.

I’ll do a bit of follow up on the numbers probably tomorrow. There is some skewing factors (game mix) .. but there are things there for NET haters, why we really got hurt by NET (perhaps not totally unfairly) and for positivity moving into next year with a different team.
 
I thought basketball schedules were made in the offseason, not years ahead. That was always true of football schedules, (and I never knew why: it's all about phone calls and now E-Mails).
I think, not sure, that some are series set up ahead of time but not with specific time nor dates set while others are late fillers set up later right before the season begins. I recall Syracuse starting a series with Georgetown in addition to having some big preseason tournament participation known at least a year before hand. The specifics seem to be set up late but the fact we will be playing is known earlier.
 
Still though margin of victory in games against teams you should win easily is kinda dumb.

If you are up 20 vs a bad team and sub and teach and win by 8 who cares.

Perhaps use game control instead of margin of victory.
 

Forum statistics

Threads
170,572
Messages
4,899,811
Members
6,004
Latest member
fsaracene

Online statistics

Members online
194
Guests online
1,251
Total visitors
1,445


...
Top Bottom