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Category: Formulas

09/19/16

The Basketball Assist: the Most Controversial Statistic

07/19/12

Basketball Statistics Referred Concepts:
The Basketball Statistician's Digest ~ The Formula TENDEX

Basketball Statistics Analysis Referred Concepts
TENDEX - by Dave Heeren (1988):
The TENDEX is one the coefficients of player efficiency evaluation more used by the Basketball coaches, and was the basis of the work of the eBA Basketball Statistics Analysis System, created in the same year, and between the first systems in apply this evaluation mean.

This coefficient was developed by Dave Heeren in 1988 and is the methodological basis of an annual publication (Basketball Abstract) where the efficiency of all the players of the NBA are evaluated.

Tendex= Points Made + Total Rebounds + Assists + Blocks + Steals - Turnovers - Missed Shots

... planning the next plays in a basketball time out ...

On 1990, Manley, one of the most renowned American Basketball analysts, applies the same linear equation -only changing the factor's order-, calling it Individual Efficiency to evaluate the efficiency o his players:

Individual Efficiency=
Points Made + Rebounds + Assists + Steals + Blocks - Missed Shots - Free Throws missed - Turnovers

Currently the eBA Basketball Statistics Analysis System applies this formula in a different way developed in our eBA Statistics Clinics.


( Excerpt from the introduction to my exposition "basketball statistics formulas" at the eBA Basketball Statistics Clinics. )

Read More at eBA CLINICS ONLINE, search "basketball statistics formulas" in this blog and consult the eBA Basketball Statistics Analysis System.

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

'Basketball Registering Stats Referred Concepts'
is a Series of Notes edited the 3rd. Thursday of Every Month !

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


Actuality News
London 2012 Olympic Basketball Arena Opens its Doors !



London 2012 Olympic Basketball Arena Opens its Doors !

Great Britain coach Chris Finch talks training and tactics as the London 2012 basketball stadium hosts its first test event at Olympic Park.



Your comments are Welcomed ! ... by means of eBA InterMail English ! NO NEED TO REGISTER !

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02/24/12

Points per Possession Discussion by Coach Drew from HoopCoach in our Friday Press Clippings

Friday Press Clippings:
Points per Possession Discussion

Basketball Statistician's Friday Press Clippings
From HoopCoach.org
By Coach Drew
Download source here: ' Points per Possession Discussion ' by Coach Drew

"... I've been reading up on advance stats a lot the last few weeks and found that apparently I have been tracking points per possession a bit different then the common approach. My method was very simple:

(Points scored * 100) / Possessions

A slightly more advanced approach for finding total possessions:

POSSt = FGAt + 0.44 × FTAt – OREBt + TO

I'm not sure it affected my team a whole lot as I think we got about four offensive rebounds the entire season. Regardless, is anyone else tracking this? What is your formula? ..."

"... The .44 is the factor in the total possessions formula that helps to pretty accurately measure how many possessions were used during the total of FT attempts.

Often a player will get 2 FTAs. Sometimes just 1, sometimes 3. Sometimes it will be a technical foul and not be the end of a possession.

Sometimes a missed FTA won't end the possession because of an offensive rebound or a foul of the offensive rebounder. The historical average for possessions used up is 0.44 × FTAt. ..."

"... It is good to ask about details that don't make obvious sense. Sometimes the answer can be found re-reading a passage (as it could this time) but it is true that sometimes advanced statisticians don't explain all their shorthand and it can get difficult.

There are times I can't follow it all clearly myself and it not always possible to contact the author directly.

Often times though if you step back and ask what is happening in the big picture, what is the main conclusion? you can get something out of an article even if some of the detail is too complicated to follow step by step. ..."

"... We use the points per possession method that Dean Smith spells out in his book. It uses FGA, TO, and Trips to the free throw line (instead of FTA).
This covers all possible outcomes on any given possession.

I don't understand why ORB would be used for anything because that would already be accounted for as a FGA. I suggest looking in Dean Smiths book to get the best picture. ..."

"... I don't see why Offensive Rebounds would be subtracted in any formula trying to calcualte total possessions. Unless the shot doesn't hit the rim, an Offensive Rebound re-starts the shot clock (clearly a new possession). ..."

Read more articles in HoopCoach.org

To read today's 'Press Clippings' in Spanish,
click this week above on the 'Español' tab or afterwards click here:
' Entrenamiento de Variables Psicológicas para los Tiros Libres ' by Eneko Larumbe Zabala.



Friday Video Clippings:
The lost thing



"The lost thing" Oscar Winner Short Film by Shaun Tan

"The lost thing" Oscar Winner at the 83rd Academy Awards® in 2011 for the Best Live Action Short Film directed by Shaun Tan.

To watch today's 'Video Clippings' in Spanish,
click this week above on the 'Español' tab or afterwards click here: 'La Cosa Perdida' de Shaun Tan.

'Press and Video Clippings'
is a Series of Notes edited the 2nd. & 4th. Friday of Every Month

To Read ALL the Clippings in this Series, click here: Categories > Contents Online



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02/10/12

An Introduction to Advanced Basketball Statistics: Understanding Possession Estimation
and the Factors that Control Efficiency in or Friday Press Clippings

Friday Press Clippings:
An Introduction to Advanced Basketball Statistics:
Understanding Possession Estimation and the Factors that Control Efficiency

Basketball Statistician's Friday Press Clippings
From Burnt Orange Nation
By Reggieball
Download source here: ' An Introduction to Advanced Basketball Statistics: Understanding Possession Estimation and the Factors that Control Efficiency '
by Reggieball



"... Historically, the way we tend to evaluate basketball teams is to look at per game statistics. For instance, we might look at the Big 12 statistics from last season and conclude Nebraska, who allowed 60.5 points per game, and Texas A&M, who allowed 61.3 points per game, were both better defensively than Texas, who allowed 62.2 points per the game.

The chief problem with this sort of analysis is that it ignores the pace at which these teams play. Texas A&M played at an extremely slow pace last season, averaging 62.2 possessions per game. Nebraska played slightly faster, averaging 63.6 possessions per game.

Of these three schools, Texas played at the fastest tempo, averaging 66.9 possessions per game. Nebraska and Texas A&M were among the slowest-paced teams in all of Division I last year, whereas Texas' pace was pretty close to the Division I median of 66.6 possessions per game. ..."

"... If you are convinced that possessions, and not games, ought to be the appropriate way to normalize basketball statistics, then you are ready for the next step. Team performance on offense and defense should be measured as points per possession.

It is useful to break points per possession up a bit further, in order to isolate various elements of offensive (or defensive) performance. In the coming months I will write about some of the ways in which I like to do this, but for now, we will focus on a fairly simple split. Here is an equation ..."

"... Essentially, true shooting percentage is the points scored per shooting opportunity divided by two. The number is divided for two so that it looks like a shooting percentage. Typically many teams and players will have TS% between about 0.5 and 0.6, so the scale is similar to what it common for more traditional field goal percentages.

The problem with true shooting percentage is semantic -- it isn't actually a percentage. For example, TS% can be greater than 1. It can be as high as 1.5. The 0.5 prefactor seems kind of pointless, other than the effort to make this look like a field goal percentage. ..."

"... Then if we take the difference between Texas' ORB - TO and Arizona's ORB - TO, we get an estimate of the difference in shooting opportunities between each team. By this calculation, Arizona is expected to be +2 in FGA + 0.475 x FTA. They were actually +1.

In this case, the discrepancy comes from the fact that Texas had one extra possession than Arizona did in the first half of the game.

Both teams had the same number of possessions in the second half of the game. Note that sometimes this estimate will be off because it is just an estimate, but in this case we have an assignable cause. ..."

Read more articles in Burnt Orange Nation

To read today's 'Press Clippings' in Spanish,
click this week above on the 'Español' tab or afterwards click here:
' Valoracion de Criterios Estadisticos ' by Matias Barmat.



Friday Video Clippings:
Where is God ?



Where is God ?

An Oscar Nomination Short Film Directed by Bryan Fernando

Two mischievous girls whose cause a lot of trouble to their mother. The mother complaints about this to their parish priest and sends one of the girls to the local priest to get some moral advice. The priest meets the girl and asks her "where is God?" in order to make her understand that God is love. But the girl misunderstands the question in her innocence and thinks that God is missing and she is being suspected for the crime.


To watch today's 'Video Clippings' in Spanish,
click this week above on the 'Español' tab or afterwards click here: 'La dama y la muerte' de Javier Recio Gracia.

'Press and Video Clippings'
is a Series of Notes edited the 2nd. & 4th. Friday of Every Month

To Read ALL the Clippings in this Series, click here: Categories > Contents Online



Your comments are Welcomed ! ... by means of eBA InterMail English ! NO NEED TO REGISTER !

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08/19/11

Advanced statistics and the democracy of talent By Danny Nowell ~ Friday eBA Press Clip

Friday Press Clippings:
Advanced statistics and the democracy of talent

Basketball Statistician's Friday Press Clippings
From Magic Basketball
By Danny Nowell
Download source here: ' Advanced statistics and the democracy of talent ' By Danny Nowell

"... Where am I going with this? I’ve been thinking a lot about advanced statistics recently in the wake of the 2011 MIT Sloan Sports Analytics Conference, which I was not fortunate enough to attend but which the TrueHoop Network covered extensively.

The Sloan Conference is the zenith of the advanced statistical approach to sports today, and it draws some of the smartest people covering or fielding sports teams in the world. ..."

"... For several years now, I’ve been a devotee–if a lackadaisical one–of this sort of sports analytics. I didn’t do so hot in Calculus in high school, but I do care a lot more about efficiency than pure scoring, and I believe in things like Pythagorean record as mathematical ways to ascertain the quality of a team considered apart from the quirks of day-to-day game developments. ..."

"... Like I’ve said, I love the analytical and statistical approach to think about basketball. But I am made a little uneasy by the widening gap between the practice and the analysis of the game. Let me put this dangerously, in a way that could easily be taken out of context (I hope I never write those words on the internet ever again):

I wonder if hedge fund managers and sabermetricians can even help but obscuring the spirit of basketball in their attempts to quantify the product. ..."

"... The assumption at the heart of advanced statistics is that it is best to look many times at a basketball game to ascertain how to best succeed at the goal of outscoring your opponent.

To find who is most efficiently either scoring or denying points, to recognize skills that are harder to see before the gunsmoke clears, like Chuck Hayes’ incredible post defense.

To me, this is a business approach to basketball, and it is not wrong. ..."

"... Here’s my fear: People like me are drawn to advanced analysis, in some small part, because it compartmentalizes the game into something I can have a hand in, can process.

I will never wake up as enormous and gifted as an NBA star, but I can diligently apply the full scope of my MacBook to figure out how to “maximize” their gifts. ..."

"... Because in the end, the best basketball is about watching as much as it is about winning. It’s a celebration of rare genius just as much as it is about the bottom line of scores and efficiencies.

By all means, then, let’s use the tools we have to think about it better, to question our appreciations and sharpen our tastes, but without letting it crowd our appreciation of even the flawed moments. ..."

Read more articles in Magic Basketball.

To read today's 'Press Clippings' in Spanish,
click this week above on the 'Español' tab or afterwards click here:
' Proponen una nueva técnica para valorar a los jugadores de baloncesto '
by SINC
.



Friday Video Clippings:
Rick Pitino vs. Carlos Beltran



Rick Pitino vs. Carlos Beltran


To watch today's 'Video Clippings' in Spanish,
click this week above on the 'Español' tab or afterwards click here:
' Visión de Futuro '.


'Press and Video Clippings'
is a Series of Notes edited the 2nd. and 4th. Friday of Every Month

To Read ALL the Clippings in this Series, click here: Categories > Contents Online


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04/03/11

Permalink 17:04:59, Categories: Basketball, Statistics, Statisticians & Roles, Formulas  

Sunday's Reflexions on Basketball Statistics:
Rebounding Percentage, Standard Deviation and Adjusted Points per Game

Basketball Statistician's Sunday's ReflexionsThis Sunday's Reflections includes short answers to important short questions about the eBA Basketball Statistics Analysis System.

"... How can I evaluate my team's quality at rebounding opportunities ?..."

Here you have the formula for a team's rebounding percentage:

Off%= (Own OR) / (Own OR + Opponent's DR)

Def%= (Own DR) / (Own DR + Opponent's OR)

Tot%= (Own Total Rebs) / (Own Total Rebs + Opponent's Total Rebs)

For the applicability and discussion of the formula, go to the eBA Basketball Statistics Analysis System.

Basketball Statistician Sunday's Digest


"... How might the standard deviation of a normal distribution as a player season statistics be greater than the mean ? ..."

If some scores are negative, the mean could be very small despite a large SD.
The mean could be anything, even negative. Standard deviation is always positive.

"... What is really the "Adjppg" ( Adjusted Points Per Game ) ? ..."

Adjusted points per game (Adjppg) is just points per possession times the league average of possessions per team per game. This scales its yearly average to be as the league average for PPG -Points per Basketball Game.
This method applies in a straightforward manner to teams. It has never been applied to individuals.

For a deep analysis go to eBA Basketball Statistics Analysis System.
Prof. Roberto Azar

This topic is resumed in the eBA Basketball Statistics Analysis System
at the eBA System > The Articles


'Reflexions on Basketball Statistics'
is a Series of Notes edited every Sunday

To read ALL the basketball Statistics Reflexions, click here:Statisticians & Roles


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10/19/10

Basketball Registering Stats Referred Questions:
Practice Descriptive Statistics

Basketball Registering Stats Referred Questions
Question: Two players on the same drill show the following results over a long period of time.

Player A= Mean time of completing the drill (seconds) - 30
...............Standard deviation (seconds) - 6

Player B= Mean time of completing the drill (seconds) - 25
.............................................Standard deviation (seconds) - 4

...............a. Which player appears to be more consistent in the time he
...................requires to complete the drill?

...............b. Which player appears to be faster in completing the drill?

Practice Descriptive Statistics Questions
Photograph: Live.com

Answer:
a. Player B appears to be more consistent in the time he requires to complete the
....drill, since he has a smaller variance.

b. Player B appears to be faster in completing the drill, since he has a smaller mean.

See in our forum the 'descriptive statistics' topics and the exposition "Basketball Statistical Analysis" at eBA ONLINE.

All the terms in this answer are explained widely at The Global Basketball Encyclopedia and in eBA ONLINE.

( 'Basketball Registering Stats Referred Questions'
is a Series of Notes edited every Tuesday )

This topic is resumed in the eBA Basketball Statistics Analysis System
at the eBA Encyclopedia > eBA System


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09/23/10

Permalink 10:18:38, Categories: Basketball, Statistics, Statisticians & Roles, Formulas  

Basketball Statistics Analysis Referred Concepts:
The Points Saved Concept and Formula

Basketball Statistics Analysis Referred Concepts
Points Saved is a stat introduced by John Hollinger ( an influential figure in the field the quantitative analysis of
basketball ) to measure individual defense and here is his description form his book Pro Basketball Forecast (Pro Basketball Prospectus):

"The idea is to take the minutes a player played in each game, multiply it by the team's points allowed in that game, and compare it to how many points the team actually gave up with the player on the court. From that, we determine his defensive value by the difference between "expected points" and the actual points -- something I call "points saved".

The formula is as follows:

Points Saved = ((MIN/tmMIN) * oppPTS) - oncourtoppPTS
Pro Basketball Forecast

where oppPTS is the opponents points scored in games in which the player played, and oncourtoppPTS is the opponents points scored while the player was on the court.

As an extension, Hollinger also developed a simpler formula that quantifies how impressive a player's individual performance is in a given game.

The Hollinger Game Score formula is:

(Points x 1.0) + (FGM x 0.4) + (FGA x -0.7) + ((FTA-FTM) x -0.4) + (OREB x 0.7) + (DREB x 0.3) + (STL x 1.0) + (AST x 0.7) + (BLK x 0.7) + (PF x -0.4) + (TO x -1.0)

The entire modern box score of the player is needed for calculation, including offensive and defensive rebounding, steals, blocks and turnovers.

I leave my commentaries about these formulas in the eBA Forums.

Excerpts of a discussion at the eBA Annual Basketball Statistics Clinic

Read More at eBA CLINICS ONLINE, search "points saved" in this blog and consult the eBA Basketball Statistics Analysis System.

( 'Basketball Registering Stats Referred Concepts'
is a Series of Notes edited every Thursday )

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


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09/09/10

Permalink 14:23:20, Categories: Statistics, Statisticians & Roles, Formulas  

Basketball Statistics Analysis Referred Concepts:
About the Modified Tendex Rating Formula

Basketball Statistics Analysis Referred Concepts
The modified Tendex rating was created by Jon Scott based on a "per minute" basis and a "per game" basis.

The per game basis weights more heavily toward players who play more substantial minutes and therefore reflect their worth to the team (from the fact that the coach chose to play them the majority of the minutes).

About the Modified Tendex Rating Formula
Image: The eBA System

The "per minute" basis better highlights players who may come in for short times, but who are extremely productive while in game.

{[ Points + Rebounds + 1.25*Assists + 1.25*Steals + Blocks - 1.25*Turnovers - Missed field goals - (Missed free throws / 2) - Personal Fouls / 2 ] / Minutes / Game Pace }

The Tendex is fully explained and discussed in the current eBA Basketball Statistics Registration Clinic

Excerpts of a discussion at the eBA Annual Basketball Statistics Clinic

Read More at eBA CLINICS ONLINE, search "blocked shots" in this blog and consult the eBA Basketball Statistics Analysis System.

( 'Basketball Registering Stats Referred Concepts'
is a Series of Notes edited every Thursday )

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


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05/24/10

Permalink 16:21:10, Categories: Archives, Coach's Digest, Basketball, Statistics, Formulas  

This Week Basketball Book & eBook eBA DVICE !

Basketball on Paper ~ Rules and Tools for Performance Analysis by Dean Oliver


Basketball on Paper:
Rules and Tools
for Performance Analysis
By Dean Oliver

Journey "inside the numbers" for an exceptional set of statistical tools and rules that can help explain the winning-or losing-ways of a basketball team.

Basketball on Paper doesn’t diagram plays or explain how players get in shape, but instead demonstrates how to interpret player and team performance.

Dean Oliver highlights general strategies for teams when they’re winning or losing, and what aspects should be the focus in either situation.

He describes and quantifies the jobs of team leaders and role players, then discusses the interactions between players and how to achieve the best fit.

Oliver conceptualizes the meaning of teamwork and how to quantify the value of different types of players working together. He examines historically successful NBA teams and identifies what made them so successful individual talent, a system of putting players together, or good coaching.

Oliver then uses these statistical tools and case studies to evaluate the best players in history - such as Earvin 'Magic' Johnson, Wilt Chamberlain, Bill Russell, and Charles Barkley - and how they contributed to their teams’ success. He does the same for some of the NBA’s "oddball" players - Manute Bol, Muggsy Bogues, and Dennis Rodman - and for the WNBA’s top players.

Basketball on Paper is unique in its incorporation of business and analytical concepts within the context of Basketball to measure the value of players in a cooperative setting.
Whether you’re looking for strategies or new ideas to throw out while watching the ballgame at a sports bar, Dean Oliver’s Basketball on Paper will give you amazing new insights into teamwork, coaching, and success.


Read the complete review and an excerpt at the eBA Portal ! And ...!

You'll can also browse this book
in a Google Books 'limited preview' !
Google Basketball Books & eBooks


 • Author: Dean Oliver
 • Format: eBook & Book
 • Binding: Paperback
 • Number of Pages: 361 pages
 • Dimensions: 9 x 6 x 1.1 inches
 • Shipping Weight: 1.2 pounds
 • Publisher: Potomac Books Inc.
 • Publishing Date: November 30, 2004
 • eBook Edition: December, 2010
 • Language: English

 • Also available: In the new 2010 eBook edition


... more  Basketball on Paper ~ Rules and Tools for Performance Analysis by Dean Oliver  info at ...

Basketball on Paper ~ Rules and Tools for Performance Analysis by Dean Oliver



To see the Basketball Book eBA DVICE in Spanish:

Un Nuevo Lunes... Un Nuevo Libro Recomendado por eBA ...


Análisis Del Rendimiento en Baloncesto: Es Posible Predecir Los Resultados? por Miguel Angel Gomez Ruano


Análisis Del Rendimiento en Baloncesto:
Es Posible
Predecir Los Resultados?
Por Miguel Angel Gomes Ruano,
con Alberto Lorenzo Calvo








click here to read the full review !


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JUNE 2018 Selected Pages !

About the eBA Stats Group Social Networks, Basketball Plays & Statistics Formulas!

About the Basketball Efficiency
in Different Possession Start Cases

About Basketball Assists
& Potential Assists

About the Right Way
to Evaluate the Basketball Defense

About Two Assists
in the SAME Basketball Play

About the Basketball
Team Defense Analysis

Open Letter About LinkedIn

About Basketball Stats,
Methods and Players

The Hand IS Part of the Ball
in Basketball

Underrated or Overrated
Individual Stats

Game Pace & TO Ratios
of Individual Players

Tracking Each Shot and the Game Situation with the Best Indicators of the Winner

Basketball Game Analyst
or Scientific Analyst ?

About Basketball Scouters & Statisticians

Modern Basketball Assist-Turnover
Ratio Levels

The Statistical Decision Limit
in Basketball

Basketball Rebounds
as Statistical Factor

Statistics Never Tell
the WHOLE Story

Basketball Starters and Substitutes

About the Basketball
Plus / Minus Data Analysis

Statistics Box Score Balance Errors

Basketball Assists
& Potential Assists

Basketball Team Defense

Basketball TO
& the "Game Pace" Factor



Páginas Seleccionadas
de JUNIO 2018 !


Sobre las Redes Sociales del Grupo eBA Stats, Jugadas de Baloncesto y Fórmulas Estadísticas!

Sobre la Eficiencia en Baloncesto
Según el Comienzo de Posesión

Sobre las Asistencias del Baloncesto
y las Asistencias Potenciales

Sobre la Forma Correcta de Evaluar
la Defensa en Baloncesto

Sobre Dos Asistencias
en Una MISMA Jugada en Baloncesto

Análisis de la Defensa de Equipo
en Baloncesto

Carta Abierta Sobre LinkedIn

Sobre Estadísticas, Métodos
y Jugadores

La Mano ES Parte del Balón
en Baloncesto

'Ritmo de Juego'
& la 'Relación de BP'

Cada Lanzamiento Conforme a la Situación y los Mejores Indicadores de una Victoria

Analista de Partido de Baloncesto
ó Analista Científico ?

Sobre Escouters y Estadígrafos
del Baloncesto

Niveles de Relación Asistencias-Balones Perdidos en el Baloncesto

El Límite Estadístico Determinante
en Baloncesto

Concepto del Rebote
como Factor Estadístico en Baloncesto

Las Estadísticas No cuentan TODO !

Titulares y Suplentes en Baloncesto

Sobre el Análisis de los
Datos del Plus / Minus en Baloncesto

Errores en el Balance de las Estadísticas

Asistencias y Asistencias Potenciales

Análisis de la Defensa de Equipo

BP y el Factor "Ritmo de Juego"



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