Take yesterday's Warriors Timberwolves game as an example, the Warriors' Klay Thompson scored 28 points, 5 rebounds, 3 assists and 1 steal, and shot 6 three-pointers; Stephen Curry had 22 points, 8 rebounds, 8 assists, 2 steals and 1 block, and made 2 three-pointers.

Speaking of the 2017-2018 season, many media outlets consider it to be a pretty good golden era in the history of the NBA. Numerous stars have huddled together to give birth to strong players, new superstars have risen, and excellent rookies have emerged. This trend is especially evident in various data rankings.

Antetokounmpo averaged 31.9 points per game to rank first in the league, New York newcomer Porzingis ranked second with 30.0 points per game, and the Rockets ranked third.

At the top of the rebounding list is Johnson Drummond, who averages 15.3 rebounds per game, and in second place is Jordan Cousins Jr., who averages 14.3 rebounds per game, and is in third place with 13.6 rebounds per game.

With a narrow lead of 10.9 assists per game, Wei Shao ranks first on the assists list ahead of Wall's 10.8 assists per game, followed by Harden with 9.7 assists per game.

Although the season has only lasted for three weeks, the top few in the data list have changed a lot from last season. At this time, some senior fans want to say that just looking at statistics cannot reflect the role of a player; Another part of the veteran fans said that these basic data are nothing, and we should look at a series of other data such as true hit rate, various efficiency values, and usage rate.

Wait, what exactly are these true hit rates, efficiency values, and usage rates? And how did they calculate it? Below, we will take the NBA's official classification as the standard to introduce the so-called basic data and high-level data, at least so that fans and friends can have a clearer judgment on the performance of players when looking at technical statistics.

The basic data on the basketball court refers to the data that can be directly reflected on the court. For example, the scores, rebounds, assists, steals, and blocks that we usually contact the most are the five most basic basic data.

In addition to the percentage data, the rest of the basic data can be divided into two types: total and average. Totals refer to the total number of stats a player gets over a period of time, while averages per game refer to the average number of stats a player gets per game over a period of time.

According to the NBA's official list, there are 18 categories under the base data. Here's a brief introduction.

Field goal made (FGM): The number of shots a player has made during a game, including two-point and three-point shots, but excluding free throws.

Field goal attempts (FGA): The number of shots a player has made during a game, including two-pointers and three-pointers, but not free throws.

Field goal percentage (FG%): The ratio of the number of shots made by a player in a game divided by the number of shots made, including the overall percentage of two-point and three-point shots, but excluding free throws.

3-pointer made (3PM): The number of three-point shots a player has made during a game.

3-pointer attempts: The number of three-point attempts a player has made in a game.

3-pointer percentage (3P%): The ratio of the number of three-point shots made by a player in a game divided by the number of three-point shots.

Free-thro made (FTM): The number of free throws a player has made during a match.

Free-thro attempts (FTA): The number of free throws a player has made during a match.

Free-throw percentage (FT%): The ratio of the number of free throws made by a player in a game divided by the number of free throws taken.

Rebounds (REB): The number of times a player grabs a rebound or hoop after a missed shot.

Offensive rebound (OREB): The number of rebounds a player grabs while on the offensive side.

Defensive rebound (DREB): The number of rebounds a player grabs while on the defensive side.

Assists (AST): The number of times a player with a ball can help the next player who touches the ball to score directly or within a certain period of time.

Steals (STL): Steals refer to the number of times a player uses his positive aggressive behavior to get the ball from the opponent when defending.

Blocks (BLK): Blocks are the number of times a player defends to deviate an attacker's shot from the normal track after the shot is made in a way that complies with the rules.

Turnovers (TOV): Turnovers are the number of times a player loses possession of the ball while attacking, which can be a steal, a step out of bounds, a foul, or an offensive foul.

The above 18 items of data constitute the basic data of the NBA. One might wonder why fouls don't count towards the underlying data. Because the number of fouls does not measure the performance of a player on the court, there is no exact reference value for the player's ability, so fouls do not fall within the scope of basic data.

However, although these data are detailed, there are still shortcomings when it comes to comprehensively measuring the value of a player. At this time, high-level data is needed.

According to the NBA's official list of high-level data, there are a total of 12 types of high-end data, of which the rebounding rate can also be subdivided into offensive rebounding rate and defensive rebounding rate, which will not be described in detail here. None of these high-level data can be directly reflected in the competition, but are calculated through several types of data recorded on the spot.

It is worth mentioning that high-level data needs to be supported by a certain number of samples, otherwise the results will be very confusing. For example, a player who only plays once a season and plays 1 minute but grabs 1 rebound and 1 assist is usually not counted in the high-level statistics, otherwise some of his high-level statistics will be very exaggerated.

Compared with basic data, high-level data can better reflect a player's efficiency, motivation and other things that cannot be shown in basic data. As NBA fans in China become more professional, high-end data is now widely circulated among the fan base. Next, let's take a look at the official high-level data of the NBA.

Offensive Rating (OFFRTG): The number of points scored by a team per 100 overs while a player is on the floor. Among players who have averaged more than 15 minutes per game and played more than five games this season, Warriors star Curry has the highest offensive efficiency rating of 123.5.

Defensive Efficiency Rating (DEFRTG): The number of points a team concedes per 100 overs while a player is on the floor. Of the players who have averaged more than 15 minutes per game and played more than five games this season, Pistons player Toliver has the best defensive efficiency at 88.7. (The lower the number, the better)

Net rating (NETRTG): The team's net score per 100 overs while a player is on the pitch. Among the players who have averaged more than 15 minutes per game and played more than five games this season, Warriors star Curry has the highest net efficiency value at 22.6.

Assist percentage (AST%): The number of assists a player has given to a teammate as a percentage of total ball holds. Among the players who have averaged more than 15 minutes per game and played more than five games this season, the player with the highest assist percentage is Thunder star Westbrook at 51.7%.

assist/turnover ratio (AST/TO or A/TO): The ratio of a player's assists to turnovers, usually used to measure a player's organizational efficiency. Among the players who have averaged more than 15 minutes per game and played more than five games this season, the player with the highest assist-to-turnover ratio is Warriors' Andre Iguodala at 8.75.

Assist ratio (AST RATIO): The number of rounds in which a player has an assist for every 100 rounds played. Among the players who have averaged more than 15 minutes per game and played more than five games this season, the player with the highest assist percentage is Wizards player Fraser with an assist ratio of 47.1.

Rebound percentage (REB%): The probability that a player will grab a rebound after a missed shot on the court. Among the players who have averaged more than 15 minutes per game and played more than five games this season, the player with the highest rebounding percentage is the Pistons interior monster Drummond with a whopping 27.0% rebounding rate.

Effective field goal percentage (EFG%): the three-point optimized shooting percentage, EFG% = (FGM+0.5*3PM)/FGA. Among the players who have averaged more than 15 minutes per game and played more than five games this season, the player with the highest effective shooting percentage is the Timberwolves bench Bjelica at 77.1%.

True Shooting Percentage (TS%): Three-point and free-throw optimized shooting percentage, TS%=PTS/2*(FGA+FTA*0.44). Among the players who have played more than 15 minutes per game and played more than five games this season, the player with the highest true shooting percentage is also Bjelica at 79.8%.

Usage percentage (USG%): The ratio of the number of balls handled by players while on the field to the total number of balls in the team, also known as the ball usage rate. Among the players who have averaged more than 15 minutes per game and played more than five games this season, the player with the highest ball use rate is New York newcomer Porzingis, who is ahead of Harden, Antetokounmbiid and Russell at 35.7%.

Pace: The number of rounds a player takes every 48 minutes of play. Among the players who have averaged more than 15 minutes per game and played more than five games this season, the most tempo player is the Nets' Russell at 113.31.

Player impact estimate (PIE): The impact of a player on the game as assessed by the player's aggregate data. Among the players who have averaged more than 15 minutes per game and played more than five games this season, the player with the highest number is Anthony Davis at 22.2%.

Since we are talking about high-end statistics, we have to mention the famous PER value, which is the player efficiency value of Hollinger.

Hollinger player efficiency rating (PER): Former ESPN contributor Hollinger invented an advanced data to comprehensively evaluate a player's season performance based on the performance of all players in the current season, and the average PER value of all players in the NBA is 15 per year. The player with the highest PER value this season is Antetokounmpo with a PER of 32.7, with LeBron James in second place with very close points and Anthony Davis in third.

In fact, from the above data, it is not difficult to find that whether it is basic data or high-level data, it can only play a reference role for NBA games. Data can give you a deeper understanding when watching the game and reading related articles, but it is better to believe in books than not to have books, and if you trust high-level data too much, it will be counterproductive.

For example, Bjelica, who ranks first in both effective and true shooting percentage, is far less effective on the court than the Bucks Snell, Cavaliers Korver, Thunder Adams and Rocket Capela who are ranked behind him. Since it can't work, then the hit rate of this first is meaningless.

No matter how good the data is, it is also a tool that people use to understand NBA players and teams on a deeper level, and to have a deeper understanding of NBA games. Combine the perfect combination of data and games, and you will truly transform into a veteran NBA fan.!! ##？？？！！