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Author Topic: • Basketball Statistics: They never tell the WHOLE story! • Estadísticas del Baloncesto: Nunca cuentan TODA la historia!  (Read 449477 times)
HBC Debby Telmes
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« Reply #14 on: May 22, 2018, 01:26:29 AM »

Basketball Statistics: They never tell the WHOLE story !
Estadísticas del Baloncesto: Nunca cuentan TODA la historia !


• Gurus 'Advanced Stats' Great Lies & High Salaries
• Grandes Mentiras y Altos Salarios de los Gurus con las Estadisticas


( for English Translation= See Below )

Sobre la gran discusión entre los "gurus" (así con minúscula) de las estadísticas del baloncesto moderno y los analistas de partido, que generalmente leen a David Friedman o están nucleados en la eBA, es innecesaria. La Gran verdad supera a las grandes mentiras y desviaciones de los numeros de las llamadas "estadísticas de avanzada" en síntesis, esas fórmulas pseudo-científicas fueron creadas sólamente para justificar los altos salarios que los "gurus" (así con minúscula) supieron conseguir !

Está ya altamente comprobado que esos "produndos" análisis no soportan el paso del tiempo ( pueden ser valiosas para un partido o dos ), y finalmente lo que es realmente VALIOSO es el análisis de escouter o del análista de partido frente al CD del partido !

Smiley  Debby Telmes  - eBA Stats Team - el Análisis de las Estadísticas del Baloncesto


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On the great debate between the "gurus" ( in lower case... ) from modern basketball statistics and game analysts, who usually read David Friedman or are grouped in the eBA, is unnecessary. The great truth surpasses the big lies and deviations of the numbers of so-called "advanced statistics" in short, those pseudo-scientific formulas were created only to justify the high salaries that the "gurus" ( in lower case... ) knew how to get !

Is already highly proven that these "produndos" analysis does not stand the test of time (can be valuable in a game or two), and finally what is really valuable is the analysis or the game analyst or the  scouter in front of the game
video-tape !


Cheesy Translation & Links: ebastats - the basketball statistics forum



Visit: The eBA Basketball Statistics System BOOK
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HBC Brian Denver
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« Reply #13 on: Mar 14, 2015, 01:03:09 AM »

Basketball Statistics: They never tell the WHOLE story !
Estadísticas del Baloncesto: Nunca cuentan TODA la historia !


Basketball Analytics
The State-of-the-art in Individual Player Performance


George Eddy's International Show
The latest Sloan MIT Sports Analytics Conference has come and gone so this is a good time to see where we are concerning basketball.

Analytics is a way of using advanced data and video to evaluate as precisely as possible an individual or a team's performance level. Everyone agrees that traditional statistics only give an incomplete picture as far as judging performance.
In the USA, college coaches such as the late Dean Smith and John Wooden paved the way by going beyond the classic stat sheet in keeping track of all sorts of useful information. The day after a game, Smith's staff would spend FIVE hours breaking down the film, possession by possession, creating new categories of data revolving around things that Smith considered key to a winning performance. Taking charges, helping out, diving for loose balls, setting quality screens, offensive rebounds, contesting shots, deflecting passes, pressure defense, direct opponent's shooting percentage and blocking out were some of the multitude of data collected and put to good use.

The NBA kept sketchy stats at the start but with the very high economic investment involved today, it has caught up to and largely surpassed the NCAA level in the means given to data collection. All NBA teams have some sort of analytics' expert on staff to pour over the ultra-modern video sources in NBA arenas and use the latest computer programs efficiently. Teams like the Houston Rockets and San Antonio Spurs are at the forefront of this analytics revolution, whereas a team like the Los Angeles Lakers seems more reticent to go full throttle in that direction.

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The Spurs were voted as the franchise that uses analytics the best as can be seen in the way they won the title with a resolutely modern "pace and space" style which gives the priority to open three-point shots along with player and ball movement.


10 POSITIONS of BASKETBALL: Most people believe that there are only 5 positions in Basketball. Based on publicly available stats from over 400 players, AYASDI found that there are really 10 positions on basketball teams and this insight is known as the new
Image: AYASDI.com

10 POSITIONS of BASKETBALL: Most people believe that there are only 5 positions in Basketball. Based on publicly available stats from over 400 players, AYASDI found that there are really 10 positions on basketball teams and this insight is known as the new "Moneyball". NBA teams are using this insight to inform game strategies and recruiting decisions.



Taking the first quality, open shot by pushing the pace and increasing the number of possessions became fashionable with Mike D'Antoni's Steve Nash-led Suns and the Spurs took it to a new level by winning the title and making it to the last two NBA Finals with a supposedly aging team.

This season teams like the Golden State Warriors and the Atlanta Hawks hope to win a title with a similar plan even though, obviously, each team is different and has its own identity and strong points.

San Antonio played better defense than D'Antoni's Suns, for example, but generally these teams all attack with the idea that ball-movers and penetrators who kick the ball out are more efficient than ball-stoppers like Carmelo Anthony who were dominating in the past when isolation play-also called "star-ball"- with your best player on offence were a la mode.

The arrival of the three-point shot was just as historically important to basketball as the creation of the shot clock.

Now, we are living a revival of team play which means that coaches are more important than ever towards building a franchise and an identity.

This is a topological similarity network of 452 NBA players during the 2010-2011 season. Players (in circles) are connected to other players by edges (lines) based on how similar they are with regard to points, rebounds, assists, steals, rebounds, blocks, turnovers and fouls, all normalized to per-minute values in the 2010-2011 season. Further, the network is colored by a player's points-per-minute average, with blue being low and red being high. In this Image from AYASDI presented by eBA Stats Group Basketball Statistics Analysis .
Image: AYASDI.com

This is a topological similarity network of 452 NBA players during the 2010-2011 season. Players (in circles) are connected to other players by edges (lines) based on how similar they are with regard to points, rebounds, assists, steals, rebounds, blocks, turnovers and fouls, all normalized to per-minute values in the 2010-2011 season. Further, the network is colored by a player's points-per-minute average, with blue being low and red being high.


Mastering analytics is one more tool in the modern coach's toolbox. Some of the major tendencies of the moment are that lay-ups and three-pointers are better than contested two-point shots and an open look early in a possession has a higher success rate than a contested one late in the shot clock. My father would say that a lot of this is "the painful elaboration of the obvious" because we've heard coaches say "look for the open man" since the 1950s!

This year the big deal was evaluating defensive performance through exhaustive video breakdown but in the end we learned that Chris Paul is the best defensive point guard and Kawhi Leonard, the best defensive forward, two things we already knew! Analytics mostly confirm what an excellent scout could already tell you about a player or a performance. It's probably fairer to the player to be judged on more precise, mathematical criteria but players like Hassan Whiteside can still slip through the cracks in the evaluation system. Analytics can increase the awareness and appreciation of a defensive rim protector like Rudy Gobert who has improved the Utah Jazz's defense immensely with his increased playing time. Too bad analytics weren't around in Bill Russell's era because he would have been off the charts in all the defensive intangibles!

Two interesting stats can symbolize the analytics movement today. Atlanta's Kyle Korver is the NBA's best three-point shooter and 95 percent of his threes come off assists. In general, twice as many assists are given on three- point shots compared to two-point shots. Since three-pointers are worth 50 percent more, it's obvious that teams today have a vested interest in filling their rosters with good longe-range shooters and creative ball-movers and passers!

The state-of-the-art in individual player performance in the NBA today is the PER (Player Efficiency Rating) - invented by John Hollinger, analytics expert for the Memphis Grizzlies - which is an even more in-depth version of what we call player evaluation in Europe. To simplify, you subtract the negative stats from the positive ones to arrive at a number. This enables us to take into account a lot more parameters than in the past. Things like fouls drawn and shooting percentages. When I compare this to my early days as a pro in France in the 1970s and 1980s when points scored was about the only thing anyone cared about, I say to myself we've come a long way since then!


One last point: analytics are also very fashionable because in this age of internet, video games, fantasy leagues and social media, all this data feeds the needs of the media machine and gives us plenty to talk, write and debate about!

George Eddy from FIBA



Are you still a member of our eBA sketball Community in Google + ?
Be Welcome !


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BGA Roberto Azar
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« Reply #12 on: May 19, 2014, 12:19:32 AM »

Basketball Statistics: They never tell the WHOLE story !
Estadísticas del Baloncesto: Nunca cuentan TODA la historia !


• La Dependiente Variable y el %Porcentaje en Baloncesto
• The Dependent Variable and the Basketball %Percentage


( for English Translation= See Below )

Luego de mucho tiempo tratando de analizar como ciertas estadísticas del baloncesto ( Tiros Convertidos; Lanzamientos Libres; Faltas Personales; Pérdidas de Balón; Conversiones de 3; Bloqueos y Recuperos ) afectan al porcentaje de victoria de un equipo de baloncesto, nuestra conclusión es que mientras el alza en cada categoría tiene algún efecto en el alza o caída del porcentaje de victorias, nosotros no podemos determinar una simple estadística que haya tenido una directa influencia sobre la dependiente variable: el Porcentaje de Victorias.

Entonces nuestros resultados son más efectivos cuando aplicamos el sistema sobre cómo la combinación de todas las categorías estadísticas afectan al porcentaje de victorias, sin embargo éste sería obviamente dado por la naturaleza de nuestro estudio: el Sistema eBA de Análisis Creativo de las Estadísticas del Baloncesto.


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Para actualizar el tópico:
El Índice del Sistema eBA fue editado recientemente aquí:
http://www.ebasystem.com/

Dudas ?   Envíenos sus preguntas y comentarios por medio de eBA InterMail !

Smiley  Prof. -  eBA Stats Team - Análisis de las Estadísticas del Baloncesto


In experimental studies, much attention is focused on the independent (i.e., treatment or intervention applied to an individual or group) and a dependent variable (i.e., characteristic that changes). This intent is to look for a cause and effect relationship between the variables. In other words, does the independent variable influence the dependent variable. In this image from TEDU 699 presented by #eBAStatsGroup #BasketballStatistics Analysis .

Image: TEDU 699

In experimental studies, much attention is focused on the independent (i.e., treatment or intervention applied to an individual or group) and a dependent variable (i.e., characteristic that changes). This intent is to look for a cause and effect relationship between the variables. In other words, does the independent variable influence the dependent variable.


After years of trying to find out how certain basketball statistics ( Field Goals; Free Throws; Personal Fouls; Turnovers; 3 Pointers; Blocks and Steals ) affect winning percentage for a basketball team, our conclusion is that while a rise in each stat have some affect in the rise or fall of winning percentage, we could not determine a single stat that had a direct affect on the dependent variable: the Winning Percentage.

So our results are more effective when we run the system on how the combination of all stats affected winning percentage, however this would be obvious given the nature of our study: the eBA Basketball Statistics Creative Analysis System.


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To update the topic:
The eBA System Index was recently uploaded here:
http://www.ebasystem.com/


By Professor

Doubts ? Send us your questions and commentaries by means of eBA InterMail !

Cheesy Translation & Links: ebastats - the basketball statistics forum



Visit: The eBA Stats Group WITH YOU on Google PLUS

eBA Stats on Google Plus
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BGA Roberto Azar
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« Reply #11 on: Mar 14, 2013, 02:12:33 AM »

Basketball Statistics: They never tell the WHOLE story !
Estadísticas del Baloncesto: Nunca cuentan TODA la historia !


• A Statistics Box Score Not Balanced
• Un Cuadro de Estadísticas Desbalanceado


( para Traducción al Español= Ver a Continuación )

A properly completed box score should be balanced. To make this determination, the statistician should add the total number of individual, team and dead-ball rebounds for both teams. This number should equal the total number of missed shots ( field and free ) for both teams.

What the statistician must do if the box score does not balance and the mistake cannot be found ?

A better balance can be achieved if rebounds are kept according to whether they are 'offensive' or 'defensive' rebounds. This must include both team and dead-ball rebounds. In this case, the sum of Team A's offensive rebounds and Team B's defensive rebounds must equal the total number of missed shots by Team A. Also, the sum of Team B's offensive rebounds and Team A's defensive rebounds must equal the number of missed shots by Team B.

Neither check guarantees that there are no mistakes, but they do indicate that mistakes are unlikely. If the box score does not balance and the mistake cannot be found, the eBA System propose the following steps which may help:

1.- Check the dead-ball rebounds. Look at the number of two-shot fouls where the first FTA was missed.

2.- Check the team rebounds. Think about whether either team was awarded the ball for a throw-in when the ball went out of bounds after a shot.

3.- If you are working with live stats, if there was a feeling during the game that an individual should have been credited with another rebound, see if that will help. With the eBA System of Post Game Video Analysis, you'll have not this problem.

4.- Go back and decide whether another dead-ball rebound should be added.

5.- If the feeling is that the error is in the individual or team rebounds but there is no idea about which one or about which player, consider adjusting the team rebounds.

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These suggestions are good if you are working with live stats and also can be used if there are too many rebounds.

Smiley Prof. Roberto Azar - eBA Stats Team - The Basketball Statistics Analysis

Visit: The Basketball Statistics Blogs

There is only one man who has been with the NBA since it’s inception. There is only one man who wrote the story for the Inquirer the night Wilt scored 100 points. And there is only one man who gave us stats such as the Blocked Shot and the Triple Double. His name is Harvey Pollack, and the 90-year stat guru still has a small office at the Wells Fargo Center, where he serves as director of statistical information for the Philadelphia 76ers.

 There is only one man who has been with the NBA since it’s inception. There is only one man who wrote the story for the Inquirer the night Wilt scored 100 points. And there is only one man who gave us stats such as the Blocked Shot and the Triple Double. His name is Harvey Pollack, and the 90-year stat guru still has a small office at the Wells Fargo Center, where he serves as director of statistical information for the Philadelphia 76ers.

Photograph: Midwest Sports Fans

Sólo hay un hombre que ha estado en la NBA desde su creación. Sólo hay un hombre que escribió la historia para el Inquirer la noche en la que Wilt anotó 100 puntos. Y sólo hay un hombre que nos dio estadísticas como los Lanzamientos Bloqueados y el Doble Triple. Su nombre es Harvey Pollack, y el gurú de 90 años stat todavía tiene una pequeña oficina en el Centro de Wells Fargo, donde se desempeña como director de información estadística para los 76ers de Filadelfia.

Un cuadro de estadísticas apropiado debe estar balanceado. Para hacer esta determinación, el estadígrafo debe sumar el número total de rebotes individuales, de equipo y de balón muerto para ambos equipos. Este número debe ser igual al número total de lanzamientos errados ( de campo y libres ) para ambos equipos.

Qué debe hacer el estadígrafo si el cuadro de estadísticas no está balanceado y el error no puede ser encontrado ?

Un mejor balance puede ser logrado si se registran los rebotes estando clasificados en rebotes 'ofensivos' y 'defensivos'. Esto debe incluir tanto los rebotes de equipo como de balón muerto. En este caso, la suma de rebotes ofensivos del Equipo A y los defensivos del equipo B debe ser igual al total de lanzamientos errados por el equipo A. También, la suma de los rebotes ofensivos del equipo B y los defensivos del equipo A, debe ser igual al total de lanzamientos errados por el  equipo B.

Ningún chequeo garantiza que no hayan errores, pero indica la probabilidad de su existencia.
Si el cuadro de estadística no está balanceado y el error no puede ser encontrado, el Sistema eBA le propone los siguientes pasos que pueden ayudar:

1.- Chequee los rebotes de balón muerto. Observe el número de faltas de dos tiros libres donde el primer TLi fue errado.

2.- Chequee los rebotes de equipo. Ponga atención sobre cuándo a algún equipo le fue concedido el balón para una puesta en  juego desde la línea cuando el balón salió afuera del campo después de un lanzamiento.

3.- Trabajando en tiempo real, si existiera la sensación durante el juego de que algún jugador debió haber sido acreditado con otro rebote ' en alguna jugada disputada por ejemplo ', vea si esto ayuda al balanceo. Con el Sistema eBA de Análisis post partido por medio del Vídeo este problema no existirá.

4.- Vuelva atrás y decida si algún otro rebote de balón muerto debe ser agregado.

5.- Si la sensación es que el error está en los rebotes de equipo o individuales pero no se tiene idea sobre el tipo o  cuál jugador, considere el ajuste de los rebotes de equipo.

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Estas sugestiones sirven si se está trabajando con estadísticas en tiempo real y pueden ser aplicadas también si hay un número grande de rebotes.


Dudas ?   Envíenos sus preguntas y comentarios por medio de eBA InterMail !

Cheesy Traducción & Enlaces: eBA stats - el foro de las estadísticas del baloncesto



Visite: La Enciclopedia eBA del Baloncesto y las Estadísticas

NL0312
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« Reply #10 on: Mar 09, 2013, 12:06:47 AM »

Basketball Statistics: They never tell the WHOLE story !
Estadísticas del Baloncesto: Nunca cuentan TODA la historia !


• A Statistics Box Score Not Balanced
• Un Cuadro de Estadísticas Desbalanceado


( for English Translation= See Below )

Dos semanas atrás han editado Ustedes el "Análisis de los Rebotes en Baloncesto" y yo ya estoy aquí con una pregunta: sabemos que un cuadro de estadísticas apropiadamente completado debería estar balanceado.

La suma del total de rebotes individuales, de equipo y de balones sueltos para ambos equipos debería ser igual al total de lanzamientos errados ( de campo y libres ) para ambos equipos.

Qué debe hacer el estadígrafo si el cuadro de estadísticas no está balanceado y el error no puede ser encontrado ?





Two weeks ago you edited the "Basketball Rebounds Analysis" and I am still here with a question: we know that a properly completed box score should balance.

The sum of the total number of individual, team and dead-ball rebounds for both teams should equal the total number of missed shots ( field and free ) for both teams.

What the statistician must do if the box score does not balance and the mistake cannot be found ?


Cheesy Translation & Links: ebastats - the basketball statistics forum



Visit: The eBA Basketball Statistics System BOOK
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