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Category: Basketball Advanced Stats

04/13/18

Forecasting NBA Basketball Playoff Outcomes Using the Weighted Likelihood
by Feifang Hu & James V Zidek ~ in our From the Archives Press & Video Clippings

From the Archives Press Clippings:
Forecasting NBA Basketball Playoff Outcomes Using the Weighted Likelihood
By Feifang Hu & James V Zidek

Basketball Statistician's Friday Press Clippings
From Natural Sciences and Engineering Research Council of Canada
By Feifang Hu & James V Zidek
Download source here:
Forecasting NBA Basketball Playoff Outcomes Using the Weighted Likelihood
by Feifang Hu & James V Zidek

"... Predicting the outcome of a future game between two sports teams poses a challenging problem of interest to statistical scientists as well as the general public. To be effective such prediction must exploit special contextual features of the game. In this paper, we confront such features and address the need to:

(i) use all relevant sample information;
(ii) reflect the home game advantage.

To do so we use the weighted likelihood. Finally we demonstrate the value of the method by showing how it could have been used to predict the 96/97 NBA playoff results. Our weighted likelihood-based method proves to be quite accurate. ..."

"... This paper demonstrates the use of the weighted likelihood (WL) to predict the winner of National Basketball Association (NBA) final games and applies the method in each of the games played in the 1996-97 finals between the two top ranked teams, the Chicago Bulls and the Utah Jazz. However, as we try to indicate, the WL has much wider applicability inside as well outside the domain of sports.way dunker created by a teammate’s steal, offensive rebound, and or perfect outlet pass? ..."

"... The genesis of our work lies in two statistical problems encountered in sports:
(i) the prediction of the outcome of a future game between two specified sports teams;
(ii) the assessment of the accuracy of this prediction.

Since typically these two teams will not have met more than just a few times in the given season, little direct information will be available to the forecaster. The consequent small sample size will make naive predictions inaccurate and the associated prediction intervals excessively large. ..."

1996-97 Chicago Bulls Championship: #1 ~ Randy Brown: #30 ~ Jud Buechler; #35 ~ Jason Caffey; #18 ~ Bison Dele; #9 ~ Ron Harper; #23 ~ Michael Jordan; #25 ~ Steve Kerr; #7 ~ Toni Kukoc; #13 ~ Luc Longley; #00 ~ Robert Parish; #33 ~ Scottie Pippen; #91 ~ Dennis Rodman; #8 ~ Dickey Simpkins; #6 ~ Matt Steigenga, #34 	Bill Wennington In this photograph from Operation Sports presented by eBA Stats Basketball Statistics Analysis .
Photograph: Operation Sports

"... Usually in sports, the outcome of any one game derives from the combined efforts of two teams that have seldom played each other before. Yet these games yield the only direct sample information available about the relative strength of these two teams.

At the same time, each of these teams will have played many games against other teams thereby generating relevant (although not direct) sample information. The predictive probability of a win in the next game between these two teams, should combine both kinds of information ..."

"... Based on the probabilities and the confidence intervals of Table 1, we can find the probabilities with which the Bulls (and Jazz) will win the Final by Game 4, 5, 6 or 7.

Also we can calculate the total win probabilities for the Bulls against the Jazz based on its home and away win probabilities given by each of the three estimation methods.
Confidence intervals for these win probabilities may be obtained as well.

In Table 2 where the results are reported, and in the tables that follow, that interval is obtained for any pair of teams say A and B from the 95% asymptotic intervals for A’s home- and A’s away-win-against-B probabilities.. ..."

"... The method in this paper provides guidelines for the development of a prediction strategy. Its implementation, more specifically the construction of weights entails the incorporation of any special features that may obtain when the game is played.

For example, one might need to incorporate the knowledge that certain key players cannot play in that game."

To be more precise, we fitted a logistic model using the software R with the response variable being 1 or 0 according as the outcome of any game during the season was a visitor or home victory. We used dummy variables to represent visitor and home teams in each game throughout the season.

Thus for example, BullsV=1 and Super-sonics=1, all other dummies being 0, would mean those two teams were playing for that particular game, the visitors being the Bulls. For each of the factors, ‘visitor’ and ‘home’ we represented by the dummies in this way, we arbitrarily chose the 76er’s as the baseline team.

Thus, in effect, the fitted intercept, suitably transformed, provides an estimate of the likelihood of a ‘1’ in the purely hypothetical situation where the 76er’s played themselves at home as the visitors.

The coefficients for the remaining dummies represent the deviations from the 76er’s performance for each of the other teams depending on whether they were playing at home or awa ..." Read more ...

Read more articles in Natural Sciences and Engineering Research Council of Canada

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To read today's 'Press Clippings' in Spanish,
click this week above on the 'Español' tab or afterwards click here:
“Análisis Espacial de Lanzamientos en Baloncesto; el Caso de L.A. Lakers
by López, F.A., Martínez, J.A. y Ruiz, M.
.



From the Archives Video Clippings:
Va' pensiero Riccardo Muti speaking about Italian culture, Opera di Roma



Va' pensiero Riccardo Muti speaking about Italian culture, Opera di Roma

Muti said : yes, viva Italia... But, as we are in house, quite at home, let us speak together.
"Va pensiero", in old days, was a political symbol. I'm not a politician but I can say that if our culture goes on being slain, our Italia will be "si bella e perduta". So, as the choir has beautifully sung it, we should join them to sing another time "Va, pensiero !"


'From the Archives Press and Video Clippings'
is a Series of Notes edited the regularly!

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



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03/14/18

Basketball Statistics Questions: Illegal Lane Invasion on a Last Free Throw & Video C. Study

Basketball Tracking Stats Referred Questions:
Illegal Lane Invasion on a Last Free Throw Case Statistical Tracking

Basketball Registering Stats Referred Questions
...B1 invades the lane against the rules before the final free throw from A1 strikes the rim. A2 at that time invades the lane early, accompanied by A3, both players in marked lane spaces....

What is the Rule of the Game and the Statistics Tracking Rule according to the eBA Basketball Statistics System Book ? ...






Commentary=
Violations of A1 and A3 are dismissed. Therefore a new free throw is awarded to A1 due to B1's lane violation.

Illegal Lane Invasion on Jordan's Last Free Throw
Illegal Lane Invasion on Jordan's Last Free Throw in a Photograph from Worldisround.com

eBA Basketball Statistics Registration=
Nothing is registered out of the legal free throws according to the play.

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

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




Video Case Study:
Basketball TF for Simulating a Foul

"... We have here a Basketball TF for Simulating a Foul... Is it a real situation ? May be we have a referee mistake ?

How the eBA Basketball Statistics Analysis System analyze Juan Carlos Navarro´s action ? ..."

Examine this Case Sudy in this Message from the Basketball Statistics Forums


'Basketball Registering Stats Referred Questions'
is a Series of Notes edited regularly !

To Read ALL the Articles and see ALL the Videos in this Series, click here: Categories > Selected Questions




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02/07/18

About the Minutes Played, the Foul Trouble & Fouling Out & Basketball Training Video
in our Weekly Reflexions on Basketball Statistics

Reflexions on Basketball Statistics:
About the Minutes Played, the Foul Trouble & Fouling Out

Basketball Statistician's Sunday's Reflexions
How to make a statistical calculation of the player's missed playing time ascribable to fouls ?
Is there in the the eBA Basketball Statistics Creative Analysis System some data about the player utilization and substitution set of rules in the foul trouble case ? That means to say, when they are sent to the bench and after which foul number ?

To calculate missed playing time ascribable to fouls, we must base our analysis in the following assumptions about player usage and substitution patterns:

In FIBA & NBA:
No change when a player commits his first foul.
Committing his second a player foul would be replaced and have to wait at the bench until the half of the second quarter.
A player committing his third foul would be replaced and would be a bench player until the third quarter.
With the critical (in FIBA) fourth foul committed a player would be replaced and have to sit until the beginning of the the fourth quarter.
In NBA:
A player committing his fifth foul would have to be out of the game until the half of the fourth quarter.

Sarunas Jasikevicius (R) and Robertas Javtokas of Lithuania sit on the substitution bench during their friendly basketball game against Turkey as part of their training for the Beijing Olympics, at the Venetian Macao-Resort-Hotel in Macau August 2, 2008
Photograph: Day Life

Now, how often do players foul out of a game ? When the 4th. FIBA or 5th NBA foul happens ? Which percentage of the players with the 4th. FIBA or 5th NBA foul are fouled out ?

- 49% of the 4th. fouls FIBA or 5th. fouls NBA come with about 3 minutes left in the game: remember to consider, 40 minutes in FIBA and 48 in the NBA !
- 82% of all players who perpetrate a 4th. fouls FIBA or 5th. fouls NBA do not foul out.

This is reasonable from the moment the studies from eBA Basketball Statistics Creative Analysis System demonstrates that even the most players having a tendency to foul lose only a few minutes per game because of their foul trouble. But they play the great majority of their minutes near the danger of fouling out.

The analysis of the different types of Foul Trouble, were studied in the eBA Basketball Statistics Tracking Clinic.

( Excerpts from my Exposition at the eBA Clinics: "Basketball Free Throws Statistical Tracking" )

Read More at eBA ENCYCLOPEDIA ONLINE, search "basketball free throws" in this blog and consult the eBA Basketball Statistics Creative Analysis System.

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


Basketball Training Videos:
Defense: Tayshaun Prince's Wing Denial

The Copyrights from this Video Owns to NIKE.com


Defense: Tayshaun Prince's Wing Denial
Nike Basketball Pro Training presents Tayshaun Prince showing one of his signature moves..

This video is from the NIKE SIGNATURE MOVES SERIES from eBA Basketball Video Channel A

'Reflexions on Basketball Statistics'
is a Series of Notes edited the First Monday of Every Month !

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



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02/05/16

Friday Press Clippings: Do players "steal" rebounding opportunities ?

Friday Press Clippings:
Do players "steal" rebounding opportunities from teammates ?

Basketball Statistician's Friday Press Clippings
From Sabermetric Research
By Phil Birnbaum
Download source here: ' Do players "steal" rebounding opportunities from teammates? ' by Phil Birnbaum

"... In my previous post on rebounding, I promised to review some of the evidence supporting the "diminishing returns" hypothesis.

That's the theory that, in general, a player's individual rebound totals are not mostly a product of his own ability to snare rebounds, but, rather, predominantly because of his positioning on the court, or the role he is assigned on his team. ..."

"... Every extra rebound by the center results in 0.61 fewer rebounds by
teammates. ... "

"... That means that only 39 percent of center rebounds are "real", in the sense that the other team would have got them if not for the center's efforts.

If a center is (say) 20 rebounds above average for the season, then, on average, you should estimate that 12 of those rebounds would have been grabbed by a teammate anyway. ..."

Even the longest misses produce an average rebound distance that is only eight feet from the rim — not exactly a remote location. Part of this has to do with physics, part has to do with player spacing. Long-range shots generally occur when players are more spread out and there are fewer potential rebounders near the basket. <br />
In this Image by Kirk Goldsberry from GrantLand.com presented by eBA Stats Basketball Statistics Analysis .
Image: by Kirk Goldsberry from GrantLand.com

"... The variance in team rebounds per game is LESS than the variance in rebounds per game by the center
alone ! ..."

"... Every additional rebound taken by the point guard reduces the rest of the team's rebound total by ... almost exactly one rebound: .96, to be exact. ..."

"... Taken at face value, that means that 24 out of 25 times, when a point guard gets a rebound, it's because the rest of the team deliberately leaves it for him! ..."

Read more articles in Sabermetric Research.

To read today's 'Press Clippings' in Spanish, click this week above on the 'Español' tab or afterwards click here: ' Random Basketball Versus Pick & Roll ' by Miguel Ángel Paniagua.



Friday Video Clippings:
Quantitative Vs Qualitative



Quantitative Vs Qualitative

Two researchers debate whether to use
Qualitative or Quantitative research in their new study


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

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







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10/26/15

About the Basketball 'Assist-Turnover Ratio'
& the Basketball Training Video in our Monday's Reflexions on Basketball Statistics

Monday's Reflexions on Basketball Statistics:
About the Basketball 'Assist-Turnover Ratio'

Basketball Statistician's Sunday's Reflexions
Reading the 'assist-turnover ratio' from the box-scores, where a player's Ast/TO ratio start to help his team's offensive effectiveness ?

It is clear this level must would be higher for a point guard, but which are the statistical levels ?

Both statistics categories assists and turnovers matter when we note at the European Basketball eBA Archives that 7 of the top 10 AS/TO players are on playoffs teams and of course it does have a positive effect.

 • turnovers are a four factor category according to Dean Oliver's "Basketball on Paper" book;

 • assists suggest good passing and have positive impact on at least 2 of the other three (FG% and FT/FG);

Under the defensive pression of Bryant Mbamalu, freshman guard Denzel Valentine turns the ball over during the game against Louisiana-Lafayette Ragin' Cajuns on Nov. 25, 2012, at Breslin Center. The Spartans beat the Ragin’ Cajuns 60-63. Photograph by Natalie Kolb / The State News

 • TO do not help the offense, but Pts / Reb / Ast do;

 • assists have positive impact on offensive rebounding if the good passes creates a need for help defense;

 • the Basketball Statistics Analysis System separates out 'TO resulting from passes' in our calculations;

 • assists also allow some of the players to focus more on rebounding than looking for their shot;

 • from the eBA Archives top 5 teams on raw assists played the playoffs but 3 of the bottom 5 played too;

 • assists are not one of the four factors categories according to Dean Oliver's "Basketball on Paper" book;

 • as you can see below, the results are different if the PG is also a shooter and/or rebounder - all this things create turnover opportunities-, than if he just brings the ball up and passes;

 • you can play with the following numbers taking into account that this is only a new eBA Research and the break-even points may very well be different for each position:

Forget passing, which player is the best decision maker?3 In this image, Leonard’s shot probability is tied for the most likely outcome, even though by expected possession value it is his worst option; passing to anyone would be better. And these numbers can be tailored to individual players! With substantial sample sizes for individual players over the course of thousands of possessions, we do not have to settle for 'Shooters make X percent of open corner threes', we can specify that 'Player Y makes Z percent of open corner threes'. Which point guard best understands his teammates’ strengths and weaknesses, the differences between the starters and the subs, etc? Which big man has the most added value when getting the ball at the post?  <br />
In this Image by Colin William Weaver from Crossroads presented by eBA Stats Basketball Statistics Analysis .
Image: Colin William Weaver from Crossroads

Forget passing, which player is the best decision maker? In this image, Leonard’s shot probability is tied for the most likely outcome, even though by expected possession value it is his worst option; passing to anyone would be better. And these numbers can be tailored to individual players! With substantial sample sizes for individual players over the course of thousands of possessions, we do not have to settle for 'Shooters make X percent of open corner threes', we can specify that 'Player Y makes Z percent of open corner threes'. Which point guard best understands his teammates’ strengths and weaknesses, the differences between the starters and the subs, etc? Which big man has the most added value when getting the ball at the post? ( continue reading the article in http://bit.ly/1K9jK90 )

Top 20 overall AS/TO Ratio are for point guards 2.45, shooting guards 1.75, small forward 1.55, power forward 1.15 and center something about 0.85.

A selected excerpt from the discussions at the eBA Annual Analysis System Clinic Chat about this topic "Basketball Assists & Turnovers" by Prof. Roberto Azar.







Read More at eBA CLINICS ONLINE, search "Basketball Assist-Turnover Ratio" in this blog and consult the eBA Basketball Statistics Creative Analysis System.

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

Monday Basketball Training Videos:
Pau Gasol - Running Hook - Signature Moves

The Copyrights from this Video Owns to NIKE.com


Basketball: Pau Gasol - Running Hook - Signature Moves

Work your defender to get him out of position and finish ice-cold with the unblockable running hook shot.

1. Post up Establish contact with the defender in your back. Before you receive the pass make sure that you are in a low and powerful position to keep your balance.

2. Fake baseline Spin to the right to fake out your defender. When he shifts, youve got yourself some space to move.

3. Attack middle Now that you have your defender out of the way, turn round and attack the basket from the centre.

4. Running hook As you approach the basket, use your left arm and shoulder to protect the ball from any block attempts. Then as you take the shot; use your fingertips for extra control and shoot smoothly over your defender into the basket.

This video is from the NIKE SIGNATURE MOVES SERIES



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'Reflexions on Basketball Statistics'
is a Series of Notes edited the First (occasionally the 2nd.) Monday of Every Month !

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10/14/15

Basketball Block Shot Analysis & Statistics Tracking:
With or Without Ball Control is the Question!

Basketball Block Shot Analysis & Statistics Tracking:
With or Without Ball Control is the Question!

The answer was:
A1 goes up for a shot under the basket and the defensive player B2 knocks the ball in the hands of the shooter while they are both in the air, and there is no case of foul. A1 then let the ball fall to the ground before landing back on the court, gathers the ball up and makes a basket.

What is the call for the game and the statistical tracking in case of turnover?

Celtics small forward Paul Pierce has his shot blocked by Charlotte Bobcats power forward Tyrus Thomas during their NBA basketball game in Charlotte, North Carolina. Photo: REUTERS/Chris Keane

By definition (see our eBA Basketball Statistics Analysis Encyclopedia ) a blocked shot occurs when a defensive player successfully and legally deflects a shot from an offensive player by touching and rejecting the ball on its way to the basket, and before it has reached its highest point, in order to prevent from a field goal.

In order to be a legal action, the  block must occur while the shot is travelling upward. It it is heading downward when the defender hits it, it is ruled a goaltending and counts as a made basket.

We have an altered shot when a blocker changes the shooter shot causing the shooter to miss the basket.

Opponents' field goal percentage vary widely depending on which interior defender is close to the basket. Milwaukee's Larry Sanders is one of the most effective interior defenders in the league: opponents struggle to score when he is near the basket. This not the case with Boston Celtics' David Lee: when he is close to the basket, opponents score at very high efficiencies. (Click on the picture to read the full article by Adam E. Gallagher from  Tropics of Meta). In this Image: by Adam E. Gallagher from  Tropics of Meta presented by eBA Basketball Statistics Analysis Group.
Interior Basketball Defense Analitics for the NBA
Image: by Adam E. Gallagher from Tropics of Meta

If the ball is knocked out of the offensive players hands while they are in mid air, then they regain control once they have landed, this is legal.

If the ball is forced out during the time that the player is in the air, the player regains control (while in the air) and lands, it is a travel.
eBA Basketball Statistical Tracking=
Forced Turnover

If the offensive player returns to the floor, holding the ball, and the ball has never left his hands, one of two things are possible:

1) if the defensive player has only one hand on the ball, it is a travel against the offensive player.
eBA Basketball Statistical Tracking=
Forced Turnover.


2) if the defensive player has both hands on the ball it is a jump ball which will be resolved according with the alternate possession rule

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




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09/24/15

Basketball Statistics Referred Concepts:
Points per Field Goal Attempt Formula: Concept & Application

Basketball Statistics Referred Concepts:
Points per Field Goal Attempt Formula: Concept & Application

Basketball Statistics Analysis Referred Concepts
In order to measure how strictly correctly a player or team is shooting we need statistics, and if possible a creative analysis of those basketball statistics.

Statisticians most often use the field goal percentage ( FG% ) to do it, but the added bonus of the three-point shot, for instance, isn't reflected in field goal percentage, and the ability to get to the free-throw line (where the points come much easier) is ignored as well.

"Points per Shot Attempt" (PSA): It's a stat designed to reflect the basics of good shooting: getting the greatest number of points from the fewest number of attempts.

this chart provides a useful baseline that we can use to evaluate individual shooting performances. By overlaying players’ shot constellations, we can estimate the expected total number of points that an average NBA shooter would produce, based on where he took his shots; then we can compare a particular player’s actual yield against it. In this Image by Kirk Goldsberry from GrantLand.com presented by eBA Stats Basketball Statistics Analysis .
Image: by Kirk Goldsberry from GrantLand.com

This chart provides a useful baseline that we can use to evaluate individual shooting performances. By overlaying players’ shot constellations, we can estimate the expected total number of points that an average NBA shooter would produce, based on where he took his shots; then we can compare a particular player’s actual yield against it. (Click on the image to continue reading the article!)

Points per shot attempt is simply points divided by shot attempts . Figuring shot attempts is like this: Add field goal attempts plus "Up to the Line" (for 2 or 3 free-throws).

In case of analysis of another team and if you can't know how many times the player or the team reached the line, use (0.4 * FTA) instead.

PSA = Points / (Up to the Line + FGA)

Last years NBA league PSA average was something around 1.039 points per shot attempt, so by averaging, by example, 1.133 points per attempt, an average team gains a full point with every ten shots.

Points per Field Goal Attempt Formula
Photograph: 20 Minutos.es

PSA is just as handy for rating individual players as it is for teams. Occasionally a player will break into the top ten who shoots nothing but dunks, but mostly it's the long shooters who are at the top of an individual PSA list.

This formula, with another fields formulas, are integrated in the 2nd. exposition of the Basketball Statistics Registration eBA Course: "Statistics Formulas Revision", at eBA ANNUAL CLINICS ONLINE.
Prof. Roberto Azar

Read More at eBA CLINICS ONLINE, search "points per field goal attempt" 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 Tracking Stats Referred Concepts'
is a Series of Notes edited the 4th. Thursday of Every Month !

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

Actuality News
About New Players' Qualities




Coach Meo Sacchetti About New Players' Qualities





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08/27/15

About the Basketball Bonus Possessions & the Offensive Rebound Differential Statistics
and Basketball Actuality News Video in our Thursday's Basketball Statistics Referred Concepts

Basketball Statistics Referred Concepts:
About the Basketball Bonus Possessions & the Offensive Rebound Differential Statistics

This article was updated at our Google + COLLECTIONS!

About the Basketball Possessions Concept and Statistical Tracking
Photograph: Concord Monitor

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

'Basketball Tracking Stats Referred Concepts'
is a Series of Notes edited the 3rd. ( occasionally the 4th. ) Thursday of Every Month !

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


Actuality News
The 2019 FIBA World Cup !



China awarded 2019 FIBA World Cup !






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08/03/15

About the Plus Minus Ratings in Basketball Statistics
& the Basketball Training Video in our Monday's Reflexions on Basketball Statistics

Monday's Reflexions on Basketball Statistics:
About the Plus Minus Ratings in Basketball Statistics

This article was updated at our Google + COLLECTIONS!

Plus Minus Rating ~ Definition & Applicability
Photograph: Bleacher Report

UNC's Tar Heels have a history of deep benches and using all their players, here Harrison Barnes, in their drive to win NCAA men's basketball championships. This is the team and his Head Coach Roy Williamns, that invented the second five. The team that can substitute players as interchangeable commodities rather than key ingredients to a championship run. The team that had removed its starting five for several minutes during a debacle at Georgia Tech, only to right itself and beat Duke and win the ACC regular season.






Read More at eBA CLINICS ONLINE, search "basketball plus minus rating" in this blog and consult the eBA Basketball Statistics Creative Analysis System.

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

Monday Basketball Training Videos:
Derrick Rose's Basketball Teardrop

The Copyrights from this Video Owns to TheKobeShow2004


Derrick Rose's Basketball Teardrop by eBAsketball

Derrick Rose's Basketball Teardrop

Tony Parker was one of the first to use the “teardrop” in the NBA as a main weapon against bigger defenders patrolling the paint, but Bulls guard Derrick Rose has taken it to a whole new level and does it better than anyone in the Association. He uses his great quickness to set up his defender.

Once Rose has his opponent on his heels, he utilizes his lightning-quick crossover dribble, stops on a dime, springs up off both feet, and floats a shot with his strong hand.

What makes Rose’s jump stop so tough to defend is the way he can contort his body when he attacks the rim. Because of that threat, his floater is extra tough to anticipate.



To watch all our eBA sketball Training Videos go to our YouTube BA Channel !

'Reflexions on Basketball Statistics'
is a Series of Notes edited the First (occasionally the 2nd.) Monday of Every Month !

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






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05/28/15

Statistician's Digest: Discussion about... When is it a Basketball Assist ?

Basketball Statistics Analysis Referred Concepts:
Discussion about... When is it a Basketball Assist ?

Basketball Statistics Analysis Referred Concepts
About a discussion from the last Saturday at our eBA Statistics Forum


"... A5 is dribbling around outside, he drops the ball into A7 in the post. A7 dribbles a bit (dribble of a center), tries to shake his defender, succeeds and scores.
Does A5 get an assist ? ..."



This article was updated at our Google + COLLECTIONS!

Actuality News
Daily Zap - May 2015 - NBA Season 2014/15

Daily Zap - May 2015 - NBA Season 2014/15



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Basketball Coaching & Statistics Blog

BASKETBALL Coaching, Statistics, Videos & Couses BLOG.



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The Read & React Offense

by Rick Torbett


The Read & React Offense by Rick Torbett

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Championship Rebounding

by Jamy Bechler


Championship Rebounding by Jamy Bechler

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Defensive and Rebound Skills

by Tom Izzo


Defensive and Rebound Skills by Tom Izzo

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No Moves Needed

by Christian Mueller


No Moves Needed by Christian Mueller

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Coaching Womens Basketball

by Pat Summitt


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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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