Finalizado FINAL
2015-09-12Argentina
71 Venezuela
76 Finalizado BRONCE
2015-09-12Mexico
86 Canada
87 Finalizado SEMIFINAL
2015-09-11Argentina
78 Mexico
70 Finalizado SEMIFINAL
2015-09-11Canada
78 Venezuela
79 Finalizado Ronda 2
2015-09-09Mexico
95 Argentina
83 Finalizado Ronda 2
2015-09-09Uruguay
69 Puerto Rico
80 Finalizado Ronda 2
2015-09-09Dominicana
103 Canada
120 Finalizado Ronda 2
2015-09-09Panama
62 Venezuela
75 Finalizado Ronda 2
2015-09-08Mexico
73 Canada
94 Finalizado Ronda 2
2015-09-08Panama
71 Puerto Rico
78 Finalizado Ronda 2
2015-09-08Venezuela
75 Uruguay
77 Finalizado Ronda 2
2015-09-08Argentina
92 Dominicana
84
NBA
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ABA
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D-League
WNBA
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Liga Adriatica
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LNB (Argentina)
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BasketLigaen (Dinamarca)
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ACB - Liga Endesa (España)
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PBA (Filipinas)
Korisliiga (Finlandia)
Naisten Korisliiga (Finlandia)
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BBL (Gran Bretaña)
ESAKE A1 Ethniki (Grecia)
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LKL (Lituania)
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PLK (Polonia)
BSN (Puerto Rico)
Mattoni NBL (Republica Checa)
BasketLigan (Suecia)
TBL (Turquia)
LPB Venezuela
Ex Liga RFS Yugoslavia
Let's talk about statistics
Basketball, as every sport, has the ability to be observed, studied, measured and analyzed, in order to know the real performance of a player and/or team within the court, and thus, in which aspects of the game we can improve. Some of them are measurable and some others don’t. Anything that can be translated into numbers -in short, into something tangible- it’s called statistics. Through statistics, one can know how a player and/or team plays, but also we can check out which strengths and weaknesses are manifest. Every player, depending on its position, will generate statistics of one topic more than the other. For example, we expect from a point guard, being that who give more assists; from a shooting guard, that who attempts the most of the three-point shots and, with the point-guard, those who steal the ball; from a power-forward and from a center, we expect they provide most of the two-point shots, rebounds (such offensive and defensive) and blocks. (A small forward, by the way, uses to have more balanced numbers, and, depending how close he plays from the rim, some of them will have more tendency to shoot and others to grab more boards). However, we are talking about "common places", it means, stereotypes. There’s not a strict rule, and, up to a certain point the role who every player must assume tends to blur under the game’s action. In addition, basketball is unique in the sense that all players can do everything: despite the existence of well-defined roles, there is no statistical section that is specific to a player just because he plays a specific position. In football and handball, only the goalkeeper can catch the ball with his hands in the area; in baseball, although there are both batting and fielding statistics, pitchers and catchers have statistics of their respective roles. However, in our sport we can see how all the possible statistical sections (points made from free throws, two and three-point shots; offensive and defensive rebounds; assists; steals; turnovers; blocks; and personal fouls) are being made in more or less extent by the five players on the hardwood. Thus, to find guards who grab rebounds, power-forwards who can score three-pointers or even centers who lead a statistical assist ladder for a season, is not a chimera. Still, there is a way to deduce a little more accurately, what kind of profile has a certain player, because depending on the relationships between the different criteria, being total or average, we can also infer what game style every player has. For example, a player who averages between ten and twelve points per game, but nine of which are product of three triples is a compulsive scorer, maybe a serial killer, but his contribution is limited to shoot from long distance. And if he has half a steal per game, we can infer he isn’t a bad defender, but a little bit “lazy”. A single data doesn’t determine how is he playing, but the combination of two or more variables –in this case, three three-pointers with half a steal, playing a normal amount of minutes per game- and its relation between them, will lead us to a diagnosis that in the best case is not a hundred percent reliable. Matias Barmat (@worldhoopstats) |
Lecturas: 1209 - 2011-08-21
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