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The Official 2018-19 College Basketball Thread


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Duke goes down again, this time at the hands of Virginia Tech.

 

Indiana upsets Wisconsin, and Kentucky just gets by Arkansas.

 

I love this time of year!

OT of Indiana/Wisconsin was sick, all the back and forth. Wtf was Indiana thinking being up by 3 and fouling a Wisconsin player attempting a trey?

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Duke goes down again, this time at the hands of Virginia Tech.

 

Indiana upsets Wisconsin, and Kentucky just gets by Arkansas.

 

I love this time of year!

OT of Indiana/Wisconsin was sick, all the back and forth. Wtf was Indiana thinking being up by 3 and fouling a Wisconsin player attempting a trey?

The big no-no.
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Duke goes down again, this time at the hands of Virginia Tech.

 

Indiana upsets Wisconsin, and Kentucky just gets by Arkansas.

 

I love this time of year!

OT of Indiana/Wisconsin was sick, all the back and forth. Wtf was Indiana thinking being up by 3 and fouling a Wisconsin player attempting a trey?

It was Devonte Green so thinking wasn't part of the equation.

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For the Dance, RPI out, NET in...

 

The NCAA Evaluation Tool, which will be known as the NET, relies on game results, strength of schedule, game location, scoring margin, net offensive and defensive efficiency, and the quality of wins and losses. To make sense of team performance data, late-season games (including from the NCAA tournament) were used as test sets to develop a ranking model leveraging machine learning techniques. The model, which used team performance data to predict the outcome of games in test sets, was optimized until it was as accurate as possible. The resulting model is the one that will be used as the NET going forward.

 

https://www.ncaa.com...-and-everything

 

From August... https://www.cbssport...tdated-process/

Edited by goose
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For the Dance, RPI out, NET in...

 

The NCAA Evaluation Tool, which will be known as the NET, relies on game results, strength of schedule, game location, scoring margin, net offensive and defensive efficiency, and the quality of wins and losses. To make sense of team performance data, late-season games (including from the NCAA tournament) were used as test sets to develop a ranking model leveraging machine learning techniques. The model, which used team performance data to predict the outcome of games in test sets, was optimized until it was as accurate as possible. The resulting model is the one that will be used as the NET going forward.

 

https://www.ncaa.com...-and-everything

 

From August... https://www.cbssport...tdated-process/

Huge improvement over the RPI, but there's still too much of a cap on margin of victory...

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For the Dance, RPI out, NET in...

 

The NCAA Evaluation Tool, which will be known as the NET, relies on game results, strength of schedule, game location, scoring margin, net offensive and defensive efficiency, and the quality of wins and losses. To make sense of team performance data, late-season games (including from the NCAA tournament) were used as test sets to develop a ranking model leveraging machine learning techniques. The model, which used team performance data to predict the outcome of games in test sets, was optimized until it was as accurate as possible. The resulting model is the one that will be used as the NET going forward.

 

https://www.ncaa.com...-and-everything

 

From August... https://www.cbssport...tdated-process/

Huge improvement over the RPI, but there's still too much of a cap on margin of victory...

Run it up!!!!!

 

 

What do you think a good cap would be?

Edited by goose
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For the Dance, RPI out, NET in...

 

The NCAA Evaluation Tool, which will be known as the NET, relies on game results, strength of schedule, game location, scoring margin, net offensive and defensive efficiency, and the quality of wins and losses. To make sense of team performance data, late-season games (including from the NCAA tournament) were used as test sets to develop a ranking model leveraging machine learning techniques. The model, which used team performance data to predict the outcome of games in test sets, was optimized until it was as accurate as possible. The resulting model is the one that will be used as the NET going forward.

 

https://www.ncaa.com...-and-everything

 

From August... https://www.cbssport...tdated-process/

Huge improvement over the RPI, but there's still too much of a cap on margin of victory...

Run it up!!!!!

 

 

What do you think a good cap would be?

I actually don't think there should be a cap.

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For the Dance, RPI out, NET in...

 

The NCAA Evaluation Tool, which will be known as the NET, relies on game results, strength of schedule, game location, scoring margin, net offensive and defensive efficiency, and the quality of wins and losses. To make sense of team performance data, late-season games (including from the NCAA tournament) were used as test sets to develop a ranking model leveraging machine learning techniques. The model, which used team performance data to predict the outcome of games in test sets, was optimized until it was as accurate as possible. The resulting model is the one that will be used as the NET going forward.

 

https://www.ncaa.com...-and-everything

 

From August... https://www.cbssport...tdated-process/

Huge improvement over the RPI, but there's still too much of a cap on margin of victory...

Run it up!!!!!

 

 

What do you think a good cap would be?

I actually don't think there should be a cap.

Why not?
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For the Dance, RPI out, NET in...

 

The NCAA Evaluation Tool, which will be known as the NET, relies on game results, strength of schedule, game location, scoring margin, net offensive and defensive efficiency, and the quality of wins and losses. To make sense of team performance data, late-season games (including from the NCAA tournament) were used as test sets to develop a ranking model leveraging machine learning techniques. The model, which used team performance data to predict the outcome of games in test sets, was optimized until it was as accurate as possible. The resulting model is the one that will be used as the NET going forward.

 

https://www.ncaa.com...-and-everything

 

From August... https://www.cbssport...tdated-process/

Huge improvement over the RPI, but there's still too much of a cap on margin of victory...

Run it up!!!!!

 

 

What do you think a good cap would be?

I actually don't think there should be a cap.

Why not?

Because, over the long term, margin of victory, placed appropriately in context, determines the best teams.

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For the Dance, RPI out, NET in...

 

The NCAA Evaluation Tool, which will be known as the NET, relies on game results, strength of schedule, game location, scoring margin, net offensive and defensive efficiency, and the quality of wins and losses. To make sense of team performance data, late-season games (including from the NCAA tournament) were used as test sets to develop a ranking model leveraging machine learning techniques. The model, which used team performance data to predict the outcome of games in test sets, was optimized until it was as accurate as possible. The resulting model is the one that will be used as the NET going forward.

 

https://www.ncaa.com...-and-everything

 

From August... https://www.cbssport...tdated-process/

Huge improvement over the RPI, but there's still too much of a cap on margin of victory...

Run it up!!!!!

 

 

What do you think a good cap would be?

I actually don't think there should be a cap.

Why not?

Because, over the long term, margin of victory, placed appropriately in context, determines the best teams.

Is it possible that any advantage that the statistical difference you're describing offers may be offset by negative influences on the game that emphasizing point differential might bring?
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For the Dance, RPI out, NET in...

 

The NCAA Evaluation Tool, which will be known as the NET, relies on game results, strength of schedule, game location, scoring margin, net offensive and defensive efficiency, and the quality of wins and losses. To make sense of team performance data, late-season games (including from the NCAA tournament) were used as test sets to develop a ranking model leveraging machine learning techniques. The model, which used team performance data to predict the outcome of games in test sets, was optimized until it was as accurate as possible. The resulting model is the one that will be used as the NET going forward.

 

https://www.ncaa.com...-and-everything

 

From August... https://www.cbssport...tdated-process/

Huge improvement over the RPI, but there's still too much of a cap on margin of victory...

Run it up!!!!!

 

 

What do you think a good cap would be?

I actually don't think there should be a cap.

Why not?

Because, over the long term, margin of victory, placed appropriately in context, determines the best teams.

Is it possible that any advantage that the statistical difference you're describing offers may be offset by negative influences on the game that emphasizing point differential might bring?

Sure, but how would you measure it? :)

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For the Dance, RPI out, NET in...

 

The NCAA Evaluation Tool, which will be known as the NET, relies on game results, strength of schedule, game location, scoring margin, net offensive and defensive efficiency, and the quality of wins and losses. To make sense of team performance data, late-season games (including from the NCAA tournament) were used as test sets to develop a ranking model leveraging machine learning techniques. The model, which used team performance data to predict the outcome of games in test sets, was optimized until it was as accurate as possible. The resulting model is the one that will be used as the NET going forward.

 

https://www.ncaa.com...-and-everything

 

From August... https://www.cbssport...tdated-process/

Huge improvement over the RPI, but there's still too much of a cap on margin of victory...

Run it up!!!!!

 

 

What do you think a good cap would be?

I actually don't think there should be a cap.

Why not?

Because, over the long term, margin of victory, placed appropriately in context, determines the best teams.

Is it possible that any advantage that the statistical difference you're describing offers may be offset by negative influences on the game that emphasizing point differential might bring?

Sure, but how would you measure it? :)

Why would you need to measure it?
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For the Dance, RPI out, NET in...

 

The NCAA Evaluation Tool, which will be known as the NET, relies on game results, strength of schedule, game location, scoring margin, net offensive and defensive efficiency, and the quality of wins and losses. To make sense of team performance data, late-season games (including from the NCAA tournament) were used as test sets to develop a ranking model leveraging machine learning techniques. The model, which used team performance data to predict the outcome of games in test sets, was optimized until it was as accurate as possible. The resulting model is the one that will be used as the NET going forward.

 

https://www.ncaa.com...-and-everything

 

From August... https://www.cbssport...tdated-process/

Huge improvement over the RPI, but there's still too much of a cap on margin of victory...

Run it up!!!!!

 

 

What do you think a good cap would be?

I actually don't think there should be a cap.

Why not?

Because, over the long term, margin of victory, placed appropriately in context, determines the best teams.

Is it possible that any advantage that the statistical difference you're describing offers may be offset by negative influences on the game that emphasizing point differential might bring?

Sure, but how would you measure it? :)

Why would you need to measure it?

How else are you going to tell whether they're truly offset?

 

I would be fine with a diminishing returns principle beyond a certain point, like some of the ratings systems have, but a 10 point limit is way too low, and there are already adjustments that would be built in that would account for opponent quality.

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For the Dance, RPI out, NET in...

 

The NCAA Evaluation Tool, which will be known as the NET, relies on game results, strength of schedule, game location, scoring margin, net offensive and defensive efficiency, and the quality of wins and losses. To make sense of team performance data, late-season games (including from the NCAA tournament) were used as test sets to develop a ranking model leveraging machine learning techniques. The model, which used team performance data to predict the outcome of games in test sets, was optimized until it was as accurate as possible. The resulting model is the one that will be used as the NET going forward.

 

https://www.ncaa.com...-and-everything

 

From August... https://www.cbssport...tdated-process/

Huge improvement over the RPI, but there's still too much of a cap on margin of victory...

Run it up!!!!!

 

 

What do you think a good cap would be?

I actually don't think there should be a cap.

Why not?

Because, over the long term, margin of victory, placed appropriately in context, determines the best teams.

Is it possible that any advantage that the statistical difference you're describing offers may be offset by negative influences on the game that emphasizing point differential might bring?

Sure, but how would you measure it? :)

Why would you need to measure it?

How else are you going to tell whether they're truly offset?

 

I'm referring to things like the decision a coach makes to rest players once a lead is in hand.
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PAC12 hopeful Arizona State laid an egg Friday vs. Oregon, losing 79-51. In spite of quality wins vs Kansas and Mississippi State, they posted another bad loss at home vs. Washington State. :(

 

Utah State could secure a bid with a win over Nevada today, at Logan, UT.

Edited by goose
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Utah State could secure a bid with a win over Nevada today, at Logan, UT.

And, sure enough, NV gets beat. Seven seed, at best, at this point?
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Utah State could secure a bid with a win over Nevada today, at Logan, UT.

And, sure enough, NV gets beat. Seven seed, at best, at this point?

Yeah, probably about that. Not a horrible loss though, on the home court of what's probably an at large team.

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Utah State could secure a bid with a win over Nevada today, at Logan, UT.

And, sure enough, NV gets beat. Seven seed, at best, at this point?

Yeah, probably about that. Not a horrible loss though, on the home court of what's probably an at large team.

Good to see the Mt West playing decent ball, with NV, UT St and SD St each having a good run this year.
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Utah State could secure a bid with a win over Nevada today, at Logan, UT.

And, sure enough, NV gets beat. Seven seed, at best, at this point?

Yeah, probably about that. Not a horrible loss though, on the home court of what's probably an at large team.

Good to see the Mt West playing decent ball, with NV, UT St and SD St each having a good run this year.

Time for a MWC-Pac 12 Challenge.

 

Or maybe a MWC-WCC challenge for west of the Rockies supremacy.

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At the 4 minute timeout, Virginia has 18 points total on twos and free throws.

 

And 18 3s.

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