Tag Archives: advanced 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

@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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Marquette’s Free Throw “Defense”

Marquette’s Free Throw “Defense”

Through February 6, Marquette’s opponents have shot 74.9% from the free throw line. There are only 7 teams in D-I college basketball whose opponents have shot better this season.

On average, D-I basketball teams are 69.6% from the charity stripe this year.

Free throw percentage matters very little in the grand scheme of basketball stats over the course of a season. In terms of importance, the great free throw shooting of Marquette’s opponents shouldn’t even show up on a top 50 list of concern for fans.

Nonetheless, our question was, “Why?”  When it comes to free throw rate – far more important than free throw percentage, yet still way down the list of important factors – Marquette has been very good.  Only ten teams have a defensive free throw rate better than Marquette’s 26.1%.
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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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Fact Check: CBS Claims Badgers Scoring 1.28 PPP

Fact Check: CBS Claims Badgers Scoring 1.28 PPP

damon1
The growing usage of KenPom.com by fans and media can be a great thing. However, quite often the commentary from folks regarding KenPom’s predictive system is flawed and illogical.

Just another example is Matt Norlander of CBSsports.com, who this week wrote, “The Badgers have an offensive rating of 127.5, meaning they are dousing foes at a blazing rate. UW’s scoring nearly 128 points per 100 possessions. Unheard of at the college level… hat UW is flirting with 1.3 PPP on a per-game basis is flatly freaky.”

The truth is that Wisconsin’s offense isn’t producing anywhere near 1.3 points per possession.  Let’s take a further look…

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Minnesota’s Mo Walker: Stealing The Show

Minnesota’s Mo Walker: Stealing The Show

Known for his offensive prowess, Gophers’ fifth-year senior Maurice Walker has made a statistically remarkable impact on the other side of the court in 2014-15.

The Gophers have the nation’s second-highest steal rate and their style of play has helped Walker to register a high steal percent, but as the team’s last game at Iowa reminded us, a lot of it is square on him.

Walker’s steal from Iowa guard Mike Gesell late in the game helped to seal Minnesota’s important 64-59 road win on Thursday. Earlier in the game – as he has many times this season – Mo stepped around his man to get his arm into the passing lane and deflect an attempted delivery to the low block, resulting in a turnover.

The figures below are from KenPom.com and include only players who have been on the court for at least 40% of their team’s minutes. To put into context, there are 88 Big Ten players who meet that minimum through games of February 13, 2015.

The Gophers have the top four thieves in the conference (all games, including nonconference):

Rank Player Team Ht Wt Yr %Stls
1 Nate Mason Minnesota 6-1 180 Fr 4.82
2 Deandre Mathieu Minnesota 5-9 165 Sr 4.36
3 Carlos Morris Minnesota 6-5 180 Jr 4.35
4 Maurice Walker Minnesota 6-10 250 Sr 4.17

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