Category Archives: Stats

Statistics

Joey Hauser: Advanced Stats at adidas Uprising

First, a tip of the hat to Open Look Analytics (Openlookanalytics.com and @OLAnalytics on Twitter) for their great data which was used for this article. College programs should be subscribing to their services.

From 2014 through 2017, how many adidas Uprising players have posted an Offensive Rating (“ORtg”) of more than 125, a usage rate of more than 25% and played at least 200 minutes? The answer is two.

In 2016, 2018 Romeo Langford had an ORtg of 126.4 and a usage of 27.0%. Langford is currently ranked as the sixth best prospect in the 2018 class by Rivals, 24/7, ESPN and Scout.

The other player is 2018 Marquette commit Joey Hauser. Joey’s ORtg this year was 127.7 and his usage was 29.1%.

It’s important to understand how a player got to their ORtg and usage. In Hauser’s case, his eFG% of 57.7% isn’t earth shattering, but includes good indicators for the future.

His 3FG% of 46.3% was excellent, but only 32% of his field goal attempts were from deep. Scoring a variety of different ways, his 2FG% was a solid 52.2%.

Continue reading Joey Hauser: Advanced Stats at adidas Uprising

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Marquette Alumni TBT Advanced Statistics

(Photo credit: TBT staff at thetournament.com)

Marquette Alumni TBT Advanced Statistics

The #1 seed in the Midwest, Golden Eagles (Marquette alumni) started off a bit slow, but ran away for a 103-89 victory over the Midwest Dream Squad.

The traditional box score can be found on the The Tournament’s website HERE.

Below, you can find advanced statistics for the team and individual players.
Continue reading Marquette Alumni TBT Advanced Statistics

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Revisiting Marquette’s 2016-17 Preseason Projections

Revisiting Marquette’s 2016-17 Preseason Projections

Before last season began, we shared thoughts on Marquette’s projected four factor differentials for the 2016-17 season, comparing them to 2015-16. The key in reaching the NCAA tournament for the Warriors was going to be effective field goal percentage differential.

We said, “A net improvement of 2.5% in eFG% differential means a +5.8% and places Marquette in or around the top 35 of eFG% differential, by far the most important of the four factors. Do that, and they are in business even without improvement in rebounding.”

As of Selection Sunday, Marquette’s actual eFG% differential was 5.7% (57.6% on offense, 51.9% on defense) and they were selected to the tourney’s field.

MU simply had to shoot the ball better than their opponents to have a chance at being a tourney team. Our target mark of 5.8% proved to be a reasonable estimate of the differential needed to make the tournament. Continue reading Revisiting Marquette’s 2016-17 Preseason Projections

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Howard Pulley Advanced Stats through 2017 EYBL Session #2

Howard Pulley Advanced Stats through 2017 EYBL Session #2

Advanced stats for individuals and the team’s four factors are included below. They reflect Howard Pulley’s eight games (7-1 record) in EYBL through today, April 30, 2017. Key individual highlights include:

  • Tre Jones: 138.5 ORtg; 26.1% usage; 60.1% eFG%; 14.0% DR%; 44.2% assist rate; 12.7% TO rate
  • Gabe Kalscheur: 128.9 ORtg, 22.2% usage; 28.2% %Shots; 63.5% eFG%; 44.8% 3FG%
  • Daniel Oturu: 118.0 ORtg; 19.8% usage; 16.8% OR%; 24.2% DR%; 11.9% TO rate; 6.9 blk%
  • Jarvis Thomas: 103.8 ORtg; 19.0% usage; 65.2% eFG%; 10.5% OR%; 17.5% DR%;

Continue reading Howard Pulley Advanced Stats through 2017 EYBL Session #2

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Source? Be Careful With Your Nike EYBL Stats

Source? Be Careful With Your Nike EYBL Stats

The D1Circuit.com website looks nice and has some good information within it. However, when it comes to statistics, they’ve quickly proven to have major issues again in 2017.

In the past, we’ve approached D1Circuit with comments, but have been unable to find a willing ear.

Simply put, we’d recommend you double-check them as a primary source for statistics unless they put in some basic logic and controls for identifying bad data.

The latest example relates to Howard Pulley and their opening night game. Several in the Twin Cities media have stated 3-point shooting statistics for 2018 Gabe Kalscheur that don’t jibe with the NikeEYB.com site or Gamechanger.com.

Let’s take a look:

 

Continue reading Source? Be Careful With Your Nike EYBL Stats

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Marquette Four Factors: Win-Loss Record

Picture source: Marquette Men’s Basketball Facebook Page

Marquette Four Factors: Win-Loss Record
(through January 28, 2017)

eFG% better than opponent: 14-0
eFG% worse than opponent: 0-7
TO% better (lower) than opponent: 11-5
TO% worse (higher) than opponent: 3-2
OR% better than opponent: 7-3
OR% worse than opponent:7-4
FTR better than opponent: 7-0
FTR worse than opponent: 7-7
Continue reading Marquette Four Factors: Win-Loss Record

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Marquette’s Dramatic 3FG% & 3FGA/FGA Improvement

Marquette’s Dramatic 3FG% & 3FGA/FGA Improvement

Prior to the season tipping off we explained that in order for Marquette to be good, they needed to improve their eFG% differential and that they had the potential to improve their turnover rate differential. So far, so good.

We said, “A net improvement of 2.5% in eFG% differential means a +5.8% and places Marquette in or around the top 35 of eFG% differential, by far the most important of the four factors. Do that, and they are in business even without improvement in rebounding.”

As of today, Marquette has 6.7% eFG% advantage over their opponents (57.9% to 51.2%).

Their offensive eFG% is fifth-best in the nation and 5.9% higher than last year’s respectable 52.0%.
Continue reading Marquette’s Dramatic 3FG% & 3FGA/FGA Improvement

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Marquette’s Defensive Rebounding Remains Strong Despite Size

Marquette’s Defensive Rebounding Remains Strong Despite Size

Entering the 2016-17 season, many were concerned with Marquette’s defensive rebounding and with good reason. A year ago, MU ranked just #225 in defensive rebounding percentage after allowing opponents to rebound 30.7% of their misses. The Warriors also lost their top defensive rebounder Henry Ellenson (24.1% DR%) to the NBA.

Marquette allowed nonconference opponents an OR% of greater than 30.0% eight times in 13 games last season. In 12 nonconference games this year, Marquette has done so only once (IUPUI – 33.3%). MU’s is allowing an opponent OR% of 25.5% – good for #43 in the nation. The two top OR% teams MU has faced were uw-madison (avg 38.9%; against MU had just 29.6%) and Georgia (33.2% avg; 22.9%).
Continue reading Marquette’s Defensive Rebounding Remains Strong Despite Size

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