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The Basketball Game Analysis


The game is over, the players give up the ball, but the coach goes on with his work: the post-game analysis.
And here we are: working from the first minute after the game with our analysis form, the video of the game (see Analysis by means of Video ), and the stats sheet.

Registering the Data:We analyze the game by recording separately collective and individual actions by means of exclusive system of reusable codes. Out of the data registered at the stats sheet (see The Box Score ), we analyze during the proper game observation the following items:

About Shooting: Shooting distances (from paint area, inside and outside 3 points arc; from left, center and right), percentages, averages and accumulates from each position for the team, for each player and for the opponent (see eBA Basketball Statistics Analysis System Area ).

About Rebounding: We determine effectiveness rebounding percentage by our and opponent's 2nd. Chance Points and the relation with the total of shoots taken. Fast Breaks points created from our defensive rebound are another central indicative in our research.

About Assists: We determine effectiveness by comparing the total number of Assists with the FGM. A great importance for us have the registering of Received Assists, specially in the accumulated season reports.
A special chapter in our method occupies our personal concept of "double assist" and "fouled assist" ( see eBA Basketball Statistics Analysis System Area ).

About Fast Breaks: They are registered with its source: a rebound, a steal, or a quick opening play. With the same process, we analyze the opponent fast break points. Both are season accumulated.

About Half Time: At half time, coaches study the stats sheet before and after addressing their respective teams: who's being outplayed, who's got the hot hand from three-point range and so on. Live Stats quantify the game at the very right time but they never tell the whole story. Our Game Analysis qualify the game through insider tips, by giving the coach other evidences packed with advanced techniques:

  • Throwing at first and last 8 seconds plays...
  • Unforced errors...
  • Ps off Turnovers and causes...
  • 2nd. Chance points efficiency...
  • Fast break points and sources..., and so on...

About the Rankings: The ranking and ratio stats have a tremendous appeal to coaches and are very useful, specially at half time recess, but only if they are based on absolutely true statistical data.
In our opinion, if there are a simple doubt about the data, its preferable not to use this type of stats for a box score at a live game.
In another words, Ranking or Ratio Stats must be applied only at the post game analysis work, particularly after the Video Analysis.

About Unforced Errors: traveling, technical fouls, bad passes or other TO, without opponent's intervention, are registered and accumulated separately from the forced ones, for the team and for each player.
Steals and Turnovers are registered by its characteristic.

About Opponent Forced Errors: A central chapter of our Analysis System is dedicated to analyze our defensive work.
Accordingly with our rule: ( see Turnovers and Steals ) "A steal cannot be credited unless a turnover has also been charged." we think that every opponent TO must correspond with a personal Steal of any of our players.

Traditional statistics in real time team-works, use excessively the option "Team Player"; because of lack of time to determine which player caused the opponent TO, or because of lack of knowledge about the game.
Traveling or a bad control outside ball of an opponent, are immediately registered as a TO by the stats men during a game. But the Steal of our player causing directly the walking or the outside ball by executing, for example, a good double team defense or a quick footwork, not always is registered...

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 had 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 Analysis System .


And here we are !




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