Category Archives: Stats

Statistics

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

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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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Minnesota: Conference Advanced Player Stats

Minnesota: Conference Advanced Player Stats

Notes and details on the Gophers’ team and player stats (see PDF) through the first four Big Ten games are included in this article.

Eff. eFG% TO% OR% FTR
Minnesota 96.0 45.8% 21.0% 35.6% 33.5%
Opponents 104.6 49.8% 20.4% 34.6% 40.5%

Minnesota’s eFG% lags far behind their opponents, but in two of their four losses the Gophers have shot better than the other team.

at Purdue – 72-68 loss: Minnesota was the better shooting team, but Purdue held slight edges in turnovers and rebounding and a big advantage in free throw rate.

at Maryland – 70-58 loss: The Gophers shot a miserable 36.1 eFG%, the worst performance of any Richard Pitino-coached team (including FIU).

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Gophers: 2014 vs. 2013 Nonconference Advanced Stats

Gophers: 2014 vs. 2013 Nonconference Advanced Stats

First off, there is a lack of strength at the top of the Big Ten. A mediocre team can absolutely finish in the conference’s top 4 and the margin of error for a team to finish 8-10 instead of 10-8 is small.

The Gophers have an excellent opportunity given this season, but so do a number of their peers.

Late Night Hoops calculated advance statistical data for both the team and individual players for pre-conference, non-conference games against D-I opponents. In other words, we calculated statistics for the first 12 games of this year (excluding Franklin Pierce) and compared them to last year (excluding Chaminade). Although Minnesota’s efficiency margin (offensive efficiency less defensive efficiency) is higher this season, we see reason for concern. (See also: Does Minnesota Have an Assist Problem?)

OFFENSE Eff. eFG% TO% OR% FTR
2014 110.38 55.4% 18.7% 30.1% 35.6%
2013 114.17 51.0% 16.3% 36.4% 39.9%

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