WAITE HOYT 2
Well-known member
- Joined
- Jan 5, 2012
- Messages
- 8,404
Thanks For sharing.
Here's a selection of 2-Foul Participation rates from last season:
Syracuse 58%
Duke 42%
Kansas 29%
West Virginia 21%
D-1 Average 20%
Gonzaga 15%
Kentucky 10%
Cincinnati 8%
Michigan St 6%
Virginia 4%
Michigan 1%
So while coach K is successful keeping players with 2 fouls on the floor in the first half, there are also many very successful coaches who do the opposite.
I'll second this welcome back.welcome back, first posts of this season?
Thanks. Yeah, first posts but I've been here reading most days. I just don't have much to contribute to debates about lineup decisions or style of play. I have my opinions, but we're all operating on what we see on TV, which isn't quite enough information to form concrete conclusions. I prefer to analyze things where we have some data to provide clarity. I do enjoy reading all of the banter though. I'll probably become a lot more active midway through the season when bracketology starts to become meaningful.welcome back, first posts of this season?
Thanks. Yeah, first posts but I've been here reading most days. I just don't have much to contribute to debates about lineup decisions or style of play. I have my opinions, but we're all operating on what we see on TV, which isn't quite enough information to form concrete conclusions. I prefer to analyze things where we have some data to provide clarity. I do enjoy reading all of the banter though. I'll probably become a lot more active midway through the season when bracketology starts to become meaningful.
Thanks. Yeah, first posts but I've been here reading most days. I just don't have much to contribute to debates about lineup decisions or style of play. I have my opinions, but we're all operating on what we see on TV, which isn't quite enough information to form concrete conclusions. I prefer to analyze things where we have some data to provide clarity. I do enjoy reading all of the banter though. I'll probably become a lot more active midway through the season when bracketology starts to become meaningful.
you'll probably have fun with NET. i guess we'll get to see if its any better than RPI was.
ive read a few things about it i dont like, capping wins at 10 points, and the quality of your opponent doesn't matter for the stats you put up (holding duke to .98 ppp is the same as holding arkansas-pine bluff to .98ppp) but im not sure if thats actually true or people misinterpreting the data.
if it is true, it is probably a big benefit to us considering our schedule. rpi sucked but was actually great for us last year.
There might be an easier/better way to find these numbers than looking back at box scores, but that's what I did, so sorry if they are incorrect. We need to score more, plain and simple. We need to at least close the gap in free throw points because it will be a struggle for 3 pt shooting most likely all year.
Looking around a bit more on BPM (box plus minus) on Sports Reference. Some interesting things show up.
Last year Keith Williams was last on the team in BPM. This year so far he is 1st!! Last year Jenifer was 2nd last to Williams and this year he is also 2nd last to Nsoseme.
It’s true plus-minus captures everything that’s happening, but that includes a whole lot of random things that lead to a hoop or a stop. Things that have nothing to do with the ability of the player you want to analyze. In basketball analysis, we should be filtering out randomness, not embracing it.
Kenpom is not a fan of using plus-minus to evaluate players. He ran a simulation with a hypothetical average player over 50 games. In one, his plus-minus was -43. In the next it was +48. Basically, there is too much random noise that drowns out what an individual's impact is on the game score.
Yes, in his simulation the player has the exact same attributes as everyone else on his team and the opponents team. It's basically 20 identical players split into two teams, each playing 20 minutes per game. So it's a completely controlled simulation. The only variance is random variability (which over the very long term trends toward zero, but for a smaller sample like a season it can be very large).assuming hypothetical average player would be worth 0 over 50 games on average?
Yes, in his simulation the player has the exact same attributes as everyone else on his team and the opponents team. It's basically 20 identical players split into two teams, each playing 20 minutes per game. So it's a completely controlled simulation. The only variance is random variability (which over the very long term trends toward zero, but for a smaller sample like a season it can be very large).
You can actually run a 20 game simulation yourself here:
https://kenpom.com/plus-minus.php
Hit refresh and it will run again. The results vary wildly from one "season" to the next.
reason being the difference in points allowed with Jenifer at pg vs anybody else isn't actually too much. but the difference on offense is noticeable.
i think defensive stats are probably still rough to take at face value just like they are in baseball. too much is going on, especially with our defense, to really tell who is at fault at times.
but for last year Jenifer had a DRtg of 96.3. Broome had a DRtg of 92.8. The lower the number the better, Gary Clark was at 81.6.
i just think the way we play defense as a team, with brooks and scott behind them, there probably isn't much of a difference in our points allowed per 100 possessions with any of the 3 different PGs in there.