Category Archives: Stats

Statistics

2016 NBPA Top 100 Camp: Advanced Statistics

2016 NBPA Top 100 Camp: Advanced Statistics

Recently, we discussed top performers at the 2014 NBPA Top 100 Camp and how they did in their first year of college. Today, we’ll highlight players who met certain criteria during the 2016 NBPA Top 100 Camp.

As a thank you for visiting us here at LateNightHoops.com, if you would like an Excel file of our individual player database that includes advanced stats for all players at the 2016 camp, please email a request to jbbauer612@gmail.com.

Safe travels to those traveling to Vegas (as we are) and elsewhere this week.
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D1 Minnesota Advanced Stats through Session 2 (Atlanta) 2016 adidas Gauntlet

D1 Minnesota Advanced Stats through Session 2 (Atlanta) 2016 adidas Gauntlet

Any questions or comments? Send to latenighthoops@latenighthoops.com or catch us on Twitter.

Click picture below to open up in new tab. [Note: Game 7 statistics per adidas have Jack Sorenson and Jack Hutchison assigned to the wrong Jack. LNH has corrected this known error in the figures below]

D1 through Atlanta

@LateNightHoops

@JBBauer612

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D1 Minnesota Advanced Stats – adidas Gauntlet Dallas 2016

D1 Minnesota Advanced Stats – adidas Gauntlet Dallas 2016

Attached are D1 Minnesota Advanced Statistics from their 3-1 performance at the first session of 2016 adidas Gauntlet.

For access to the stats, please click on the blue button below [it’s free  — we’re just testing the software]:

By the Numbers… Team Comments:
The team’s strengths, on average, were shooting (51.7% to 45.0% eFG advantage) and offensive rebounding (37.4% to 28.8% OReb edge).

Turnovers (17.3% turnover rate compared to 16.2% defensive turnover rate) were especially bad in game 2 (18 turnovers; 26.8% turnover rate), but they rather easily got the win over a poor-shooting Juice All-Stars team whose defensive style forces turnovers and manufacturers steals (23 forced turnovers on the strength of 17 steals in Juice’s first game!).

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2015 FIBA Americas U16 Advanced Stats

2015 FIBA Americas U16 Advanced Stats

We have calculated various advanced statistics for all teams which competed in this year’s 2015 FIBA Americas U16 Championship.

This article highlights certain key statistics. The attached PDF includes additional data. If you would like an Excel version of player statistics, please contact us at LateNightHoops@LateNightHoops.com.

We start off with the top 20 Offensive Ratings (30% minutes played minimum for all stats listed below), led by Minnesota’s Gary Trent Jr.

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EYBL 2015 Session 2: Howard Pulley Advanced Stats

EYBL 2015 Session 2: Howard Pulley Advanced Stats

 

Howard Pulley finished this weekend’s session with a 74-70 victory over Boo Williams. Pulley (3-5) had started the session with three losses, but an impressive 13 point, 12 rebound performance by 2016 center Brock Bertram helped propel the Panthers to the win.

Continue reading below for select team and individual advanced statistics from the weekend.

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Ask LNH: Doesn’t kenpom treat all games equally?

Ask LNH: Doesn’t kenpom treat all games equally?

This question came in response to our article regarding Wisconsin’s adjusted offensive efficiency. The Badgers now have a positive points-per-100 possessions adjustment of 7.0, or 5.8%, given to their actual per game average offensive efficiency. Both of these adjustments are larger than those given to any other team in the nation.

The answer to the question is “no.” When thinking about kenpom’s ranking system, always keep in mind that it’s a predictive system. Giving more weigh to recent games when predicting the immediate future doesn’t seem odd at all.

Let’s do some quick math to see if treating the Kentucky equally to all others would cause a different answer. Coming into the Final Four, Wisconsin’s AdjOE was 127.5. They had played 38 games. 127.5 * 38 = 4,845. After the Kentucky game, Wisconsin’s AdjOE is 128.5. An AdjOE of 128.5 * 39 games = 5,011.5.

If all games were treated equally, you’d expect Wisconsin’s AdjOE against Kentucky to be 166.5 (5,011.5 – 4,845). The Badgers scored 123.3 pp100p on a neutral court against Kentucky and their 86.5 AdjDE.

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Minnesota: Conference Shooting Splits

Minnesota: Conference Shooting Splits

In Richard Pitino’s first season, the Minnesota Golden Gophers shot an impressive 52.3% eFG in Big Ten games (#3 in conference). This year that figure is down to 48.4% (#9) and is the primary reason they’re not scoring as well in 2014-15 (on a points per possession basis).

The team’s 3-point shooting isn’t the issue.  This year’s squad is shooting better (35.1% vs. 34.5%) and more often behind the 3-point stripe. (37.7% 3FGA/FGA vs. 34.6%).

Minnesota’s 2-point shooting has taken a significant dip from 52.5% (#2 in B1G)  to 45.9% (#10).

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