Non Con Schedule

I wouldn't be shocked to go 9-4 in non-conference, if it takes a little time to get some footing, having Mizzou and then Maui in the first month that could be 0-1 and 1-2 .. then at Iowa/atOle Miss aren't out of the question for a loss.

That wouldn't bode well for a strong bubble position unless ISU is at least 10-8 in Bg 12 with at least a couple of wins vs. tournament contenders or locks. Might depend where the loss at Maui is (if it's game 2, that's better than winning the 7th/8th place game, for example)
 
I have us 1-2 in Maui but 10-0 in rest of Non-con. 9-9 in conference puts us at 20-11 and around a 6 seed especially if we win at least one in KC.
 
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We are talking the schedule. Not comparing the current team to last year. However, I am not predicting a significant improvement from last year. Texas Southern are one of those teams that has “nothing to lose”. They play fast-paced and chucks up a lot of threes. A NCAA Tourney last year, and are coached by Mike Davis. I think he knows a thing or two..
I'm going to hope CSP does not hold your same opinion.
 
I have us 1-2 in Maui but 10-0 in rest of Non-con. 9-9 in conference puts us at 20-11 and around a 6 seed especially if we win at least one in KC.
@ Iowa will be tough, regardless of how they were last year. Basically returned everybody.
 
I have us 1-2 in Maui but 10-0 in rest of Non-con. 9-9 in conference puts us at 20-11 and around a 6 seed especially if we win at least one in KC.

Assuming this is our season...

-- 10-0 OOC of conference besides Maui
-- 1-2 on Maui (win against AZ, lose against Gonzaga and Xavier)
-- 1-1 in Kansas City (win against KSU, lose against KU)
-- 9-9 in conference regular season

upload_2018-8-29_10-42-54.png

Then our projected seed would be...

upload_2018-8-29_10-43-8.png

...so seems you were right on the dot with that #6 seed. :)
 
Assuming this is our season...

-- 10-0 OOC of conference besides Maui
-- 1-2 on Maui (win against AZ, lose against Gonzaga and Xavier)
-- 1-1 in Kansas City (win against KSU, lose against KU)
-- 9-9 in conference regular season

View attachment 57471

Then our projected seed would be...

View attachment 57472

...so seems you were right on the dot with that #6 seed. :)

First, thanks for the great posts full of info, I truly appreciate it. As we wait for the FB kickoff I have a few questions?

1. Any reason you project Xavier over Auburn? Xavier lost their coach, their 2 star guards and a good 5 and his backup. The Pearl has all but one of his players back. I always considered them the clear 3 seed at Maui.

2. I'd really be curious as to your thoughts on Bartorvik's individual rating projections for the Clones, (MIN, ORTG, Usage). Are Wigginton & Shayok better than a ORTG of 110 and 106 respectively? I realize It's all conjecture to some degree.

3. Only became aware of Bartorvik last Spring after the bb season. Looks similar to Kpom. Does anyone know whether it updates the stats as rapidly as Kpom?

Thanks!
 
First, thanks for the great posts full of info, I truly appreciate it. As we wait for the FB kickoff I have a few questions?

1. Any reason you project Xavier over Auburn? Xavier lost their coach, their 2 star guards and a good 5 and his backup. The Pearl has all but one of his players back. I always considered them the clear 3 seed at Maui.

2. I'd really be curious as to your thoughts on Bartorvik's individual rating projections for the Clones, (MIN, ORTG, Usage). Are Wigginton & Shayok better than a ORTG of 110 and 106 respectively? I realize It's all conjecture to some degree.

3. Only became aware of Bartorvik last Spring after the bb season. Looks similar to Kpom. Does anyone know whether it updates the stats as rapidly as Kpom?

Thanks!

(1.) I think you knew the bracket better than I do in looking it over. I agree with your assessment -- if your scenario goes down that we win against Arizona, then we likely have Gonzaga (the likely victor over Illinois) and then Auburn (assuming they lose to Duke) in the third-place game. Your reading of the bracket makes more sense than my impression.

I was similarly guessing on 1-1 in Kansas City with a win over Purple Kansas and a loss against Blue Kansas. Those are total guesses. I do wish they would add a feature to project opponents in preseason tournaments like that and for known postseason engagements like conference playoffs. It would not be that many more matrices to multiply across, after all.

(2.) How about we put some context on this one?

Bartorvik's projections for playing time would be...

upload_2018-8-29_20-44-0.png

That looks reasonable enough for me. I could quibble on a few things, but I do not found that an unsound basis for projections (of a bubble team). I might put Young a little lower and Shayok a little higher, but the above is a completely reasonable thing for our distribution of minutes to work out this season with the roster as we have it into the year.

ORtg and Usage need the context of the last season for these players...

upload_2018-8-29_20-48-53.png

Usages stay similar, maybe even dropping a dozen or so possessions for most of the players throughout the season. The team ORTG (weighted evenly across the eight "returners" above) goes up by an average of 8, which is a lot across a whole season. That is roughly 6 points per game. That wins us a lot of games. BART is projecting a lot of improvement across the roster and in most of our players, especially the incoming sophomores.

(3.) I am not sure how rapid it is, but I checked the Iowa State page a few hours after our schedule was announced, and the page was "built out" to include all of our announced schedule, so I imagine it is pretty quick. Most of these sites pull from a centralized database maintained by ESPN, if I remember correctly, so BART (as well as KenPom and Sports Reference and the like) usually update by the next day. I think it would be rather current.
 
Thanks

Been getting back into following college bb closely after a long family/career hiatus. Subscribed to Kpom last year and I'm still getting my arms around the relevance of all the data/stats....so your insight is helpful.

Regarding Maui, I think the committee gave the best path to the Zags. They open with the weakest team IMO, and on paper the winner of ISU/AZ is probably not as strong as auburn/Xavier. I expect the clones to be better than projected.
 
And because I find this fun, based on the BART playing time projections...

Assuming NWB plays 75% of his 33.6 minutes at PG and the remainder at SG.

DISTRIBUTION OF MINUTES BY POSITION

upload_2018-8-29_22-38-7.png

upload_2018-8-29_22-38-21.png

upload_2018-8-29_22-38-27.png

MOST LIKELY LINEUPS

This assumes the distributions above and the players drawn are "random," not somehow correlated with each other for strategic reasons or otherwise.

It shows the minutes played by each out of 1,400 potential minutes -- the 31 games that we know we have plus assumed four postseason games.

upload_2018-8-29_23-9-13.png

Seems reasonable, no? I know it probably under-emphasizes the starting lineup and actual rotations, but seems within the realm of the possible.

I made this as a widget where I can change parameters, too. :)
 
Based on the past two years the big 12 schedule should be out today. Last year it came out on Thurs Aug 31st. The year before that it came out on Thurs Sept 1st.
 
I’m glad they have a game to “get the rust out” before playing Missouri. It would be crummy to lose to the Tigers again this season, so I hope this helps the team get ready.

ISU player buy-in and Missouri not just plain being better would help that.

It wasn't until the UWMKE game last year that the players seemed to figure it out a bit.

Also the coaching corner to put NWB at PG when it sounds like he should have been there to begin with helped.

I'm glad there's excitement from football because I don't know what to think of basketball.
 
And because I find this fun, based on the BART playing time projections...

Assuming NWB plays 75% of his 33.6 minutes at PG and the remainder at SG.

DISTRIBUTION OF MINUTES BY POSITION

View attachment 57494

View attachment 57495

View attachment 57496

MOST LIKELY LINEUPS

This assumes the distributions above and the players drawn are "random," not somehow correlated with each other for strategic reasons or otherwise.

It shows the minutes played by each out of 1,400 potential minutes -- the 31 games that we know we have plus assumed four postseason games.

View attachment 57498

Seems reasonable, no? I know it probably under-emphasizes the starting lineup and actual rotations, but seems within the realm of the possible.

I made this as a widget where I can change parameters, too. :)

On the bottom chart, are the green numbers projected team points per game? Sign me up! :)
 
On the bottom chart, are the green numbers projected team points per game? Sign me up! :)

Minus played by that line-up.

I could project points per 100 or points per game by lineup, if you wanted, though.

( Sum of ORTG / 5 ) / 72

5 = 5 players
72 = rough number of offensive possessions per game

A team of five men at 100 ORTG is roughly 72 points per game, assuming you are playing against a "neutral" defense, not necessarily a P6 level one.
 
I like the tougher part of our schedule. I'd like to see those 250+ teams turn into 150+ teams though.

It’s really not that big of a deal with the Big 12 schedule assuming we win those games. Big 10 teams have to worry about that stuff.
 
Minus played by that line-up.

I could project points per 100 or points per game by lineup, if you wanted, though.

( Sum of ORTG / 5 ) / 72

5 = 5 players
72 = rough number of offensive possessions per game

A team of five men at 100 ORTG is roughly 72 points per game, assuming you are playing against a "neutral" defense, not necessarily a P6 level one.

Hopefully you picked it up, but was joking.

Cool info though.
 
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