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Archives for: November 2017

11/28/17

About Basketball Per-Minute Statistics and the Player Contribution Measure
and Basketball Actuality News Video in our Thursday's Basketball Statistics Referred Concepts

Basketball Statistics Referred Concepts:
About Basketball Per-Minute Statistics and the Player Contribution Measure

Basketball Statistics Analysis Referred Concepts
Per-minute Statistics: "... Per minute stats are a good manner to compare players within a team, seeing how a player off the bench might fare compared to the player in front of him in the rotation, but we must be careful about players who scarcely play - Jackie Butler may have averaged 96 points per 48 in the 5 minutes he played for the Knicks last year, but very doubtful he could have achieved it.

Also, we must be careful comparing players from one team to another. For example, the season Steve Nash averaged 16.1 assists per 48 while Tony Parker averaged just 8.6 - a large part of the reason for that is the pace and style Phoenix plays gave Nash more opportunities than Parker.

Per-48 Stats is not meant to be a projection of what a player would average if he played 48 minutes per game. Keep in mind that it is simply an expression of per-minute stats.

They are expressed as per-48 so that the resulting averages are easy to deal with: "23 points per 48 minutes" is easier to read and understand than ' 0,479 points per minute '; ..."

Players are not so happy 'playing their minutes' on the bench... but here Shack O'neill, Kobe Bryant and Derek Fisher plays their 'special' connection between them... inbounds and outbounds ! In this picture from Lipstick Alley presented by eBA Stats Basketball Statistics Analysis
Photograph: Lipstick Alley

Player Contribution Measure: "... Time played is a parameter not used with frequency in player's valuation although it is included in the box stats.

To relate player's valuation with his minutes played will give us his "efficiency", degree of cooperation into the team and with his teammates, interesting factor for the coach, the player and the game analyst.

The team's 'efficiency' per minute is obtained by dividing the valuation points, taken from the statistics, by the possible play minutes ( 40 or 48 ) and the mean of player's efficiency per minute by dividing newly by 200 or 240 ( total minutes played by 5 players on the court ).

The result compared with the player's individual ( valuation / minutes played ) and multiplied by his minutes in play will give us his efficiency or degree of cooperation over or under the team's mean.

From the moment that you can have only five players on the floor at one time, which invariably leads to some players seeing more action than others, how can you measure the contribution of players who play less and thus have fewer points, rebounds, and so on, than the starters?

The eBA Annual Basketball Statistics Clinic uses the per-minute stat to measure a player's value in terms of any other raw data stat for players with a low range of minutes played.
Say that one player scores eight points in a game, however, plays only eight minutes.

His per-minute scoring average is one point per minute, which extrapolated to a 40-minute game, would be 40 points per game.

But, actually, nobody in the NBA, WNBA or Euroleague, for that matter - averages 40 points per game. Suddenly, those eight points looks more impressive.

Although coaches find the per-minute stat helpful in evaluating players, but it has its limitations. Longer time periods belongs surely to the best players, and shorter time periods may yield misleading stats. ..."

"... Imagine a player that scores a three-pointer in his first minute of play and then sat out the rest of the game. Does anyone truly believe that he would've scored 144 points (3 x 48) in that game had he played the 48 minutes ? ..."

By Professor

Excerpts of a discussion at the eBA Annual Basketball Statistics Clinic



Read More at eBA CLINICS ONLINE, search "per minute statistics" in this blog and consult the Chapter "Time Played Analysis" at the eBA Basketball Statistics Analysis System.

This topic is resumed in the eBA Basketball Statistics Creative Analysis System and at the eBA Encyclopedia.

'Basketball Statistics Tracking Referred Concepts'
is a Series of Notes edited edited regularly !

To Read ALL the Articles in this Series, click here: Categories > Analysis Concepts




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11/21/17

Life and Sports Motivational Videos: Make THE Difference ... !

Permalink 16:05:40, Categories: Coach's Digest, Coaching, Motivational Videos  

Life and Sports Motivational Videos:
Make THE Difference ... !
by Matt Devine

Make THE Difference ... !

TMB Bank have launched a new brand vision "Make THE Difference" by making a film to inspire people to start thinking differently. With a hope that they will start to Make THE Difference to their own world. It doesn't have to be big, but a little can create positive changes.

This film is based on a true story. In 1986 a football team that lived on a little island in the south of Thailand called "Koh Panyee". It's a floating village in the middle of the sea that has not an inch of soil. The kids here loved to watch football but had nowhere to play or practice. But they didn't let that stop them. They challenged the norm and have become a great inspiration for new generations on the island.

Credits:

Client: TMB Bank Public Company Limited, Thailand
Advertising Agency: Leo Burnett & Arc Worldwide
Creative Director: Sanpathit Tavijaroen
Art Director: Park Wannasiri
Copywriter: Puttipong Pattanapongsagorn, Chanwit Nimcharoen
Producer: Sompetch Nuntasinrapachai
Account Service: Suthasi Sukpornsinchai, Phatarada Tritiprungroj

Directed by: Matt Devine of The Glue Society,
D.O.P: Geoffrey Simpson, Producer: Alice Grant,
Production Company: Revolver Film.
Editor: Dan Lee @ The Editors.
Music score: Jingle Bells Bangkok.

'Life and Sports Motivational Videos'
is a Series edited the First Thursday of Every Month !

To watch ALL the Motivational Videos, click here: Categories > Motivational Videos


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11/14/17

About the Basketball Statistics and the Offensive Rebounding Percentage
and Basketball Actuality News Video in our Thursday's Basketball Statistics Referred Concepts

Basketball Statistics Referred Concepts:
About the Basketball Statistics and the Offensive Rebounding Percentage

Basketball Statistics Analysis Referred Concepts
In the circumstance that a team does miss a shot, it can prolong its possession and give itself an additional chance to score by rebounding its own misses.

Scoring this points are called "second chance points".

In the eBA Basketball Statistics Creative Analysis System we use the following formula for this statistic:

Oreb% =
Offensive Rebounds / (Offensive Rebounds + Opponent's Defensive Rebounds)

In this way, we only measure how many rebounds our team catches based on what's obtainable. We use this method instead of another, by example, "team offensive rebounds per game" which will give us "a good offensive rebound team" when a team that shoots 30% and probably catches a lot of offensive rebounds, whether they're a good rebounding team or not.

Applying Oreb%, we're looking at a ratio of how many rebounds our team grabbed compared to how many were accessible.

Rebound rate (RbR)=
(Total Rebs * (Team MP / 5)) / (MP * (Team Total Rebs + Opp Ttotal Rebs)) * 100

Rebound rate is an estimate of the percentage of missed shots a player rebounded while he was on the floor.



Offensive rebounding percentage is a very utilitarian statistic in determining the worth of players. But the eBA Basketball Statistics Creative Analysis System states that the number of total offensive rebounds can be useful, but it isn't as accurate as the OR% ~ offensive rebounding percentage.
To come upon a player or team's offensive rebounding percentage from the data of a box score, you must:

Specify the range of your calculations: it is possible to apply the offensive rebounding percentage to examine and note the similarities or differences of multiple teams or multiple players; nevertheless, you need to do these calculations individually. Look for and gather a series of players or a series of teams to assess the similarities and calculate each series one by one.

• Find at the box score the statistics necessary for supply the offensive rebounding percentage calculations: the number of offensive rebounds, the number of team offensive rebounds and the number of defensive rebounds by the opponent.

* Determine the sum together of the number of team offensive rebounds plus the number of defensive rebounds the opposing team grabbed. This arithmetic addition of these two numbers is known as the total number of rebounds available.

• Perform a division with the number of offensive rebounds, from the player o the team, depending on what you are calculating, by the total number of rebounds available. The quantity obtained by calculation is the OR% ~ offensive rebounding percentage for the team or player.

• Keep on these calculations as many times as necessary. Once you have done a set of these calculations, only now you have the right data to start comparing the players or teams and detect which players or teams are the best at recovering offensive rebounds.

Excerpt of my Exposition about "The Basketball Rebounds Analysis"
in the current Basketball Statistics eBA Clinics.





Read More in this blog and consult the Chapter eBA Basketball Team Defense Analysis.

This topic is resumed in the eBA Basketball Statistics Creative Analysis System and at the eBA Encyclopedia.

'Basketball Statistics Tracking Referred Concepts'
is a Series of Notes edited regularly !

To Read ALL the Articles in this Series, click here: Categories > Analysis Concepts




Your comments are Welcomed ! ... by means of eBA InterMail English or just here !

Post Your Comment

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11/07/17

eBA Encyclopedia Statistics Terminology: Standard Error

Permalink 18:03:14, Categories: eBA Basketball System, Statistics, Terminology  

eBA Encyclopedia Statistics Terminology: Standard Error

eBA Encyclopedia Statistics Terminology
In statistics, the standard error of a measurement, value or quantity is the standard deviation of the process by which it was generated, after adjusting for sample size.

In other words the standard error is the standard deviation of the sampling distribution of the sample statistic (such as sample mean, sample proportion or sample correlation).

Standard errors provide simple measures of uncertainty in a value and are often used because:

 • If the standard error of several individual quantities is known then the standard error of some function of the quantities can be easily calculated in many cases;

statistical unusual events
Image: Galaxy Hunter

 • Where the probability distribution of the value is known, they can be used to calculate an exact confidence interval; and

 • Where the probability distribution is unknown, relationships like Chebyshev’s or the Vysochanskiï-Petunin inequality can be used to calculate a conservative confidence interval;

 • As the sample size tends to infinity the central limit theorem guarantees that the sampling distribution of the mean is asymptotically normal.


Read More more details about this definition and another statistical terms at our new Statistics Terminology Glossary.

'Statistics Terminology'
is a Series of Notes edited Regularly Every Month !

To Read ALL the Articles in this Series, click here: Categories > Statistics > Terminology



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11/01/17

Basketball Beautiful Faces on NOVEMBER 2017 Cover from the EUROLEAGUE 2017 !
With the 'ZALGIRIS KAUNAS DANCERS TEAM' from the EuroLeague 2017!

November 2017 Cover ~ Basketball Beautiful Faces:
From the 'ZALGIRIS KAUNAS DANCERS TEAM' !

She is Austeja, one of the most beautiful of the 'ZALGIRIS KAUNAS DANCERS TEAM'! In this photograph from ZALGIRIS KAUNAS presented by #eBAStatsGroup #BasketballStatistics Analysis .
Photograph: ZALGIRIS KAUNAS

She is Austeja, one of the most beautiful of the 'ZALGIRIS KAUNAS DANCERS TEAM'!

Our Basketball Beautiful Faces of November 2017 Cover !
With Austeja, one of the most beautiful of the team!





To see ALL our Monthly Covers, click here: 'Categories > Beautiful Faces'



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