Individual Stats

This graph documents the Effective Field Goal rating among all the players in this year's draft class. This statistic values a 3-point shot made, one more than a 2-point shot made. The data looks to be scattered pretty evenly with one outlier being (Shaedon Sharpe not counted) Yannick Nzosa(Center drafted 54) which was slightly under 38. The highest EFG% a player seemed to have was Mark Williams with a EFG% of 70. The next high was actually #2 overall pick, Chet Holmgren.

A regression line was added to the previous graph. In statistics the regression line is drawn on the graph that best describes the behavior of the set. As seen in this graph according to the regression line we can see that players drafted in later in the draft have a slightly lower EFG% compared to the players drafted higher than them which is completely expected.

This graph measures the points per game per 40 minutes along with a player's respected draft position. Keegan Murray(Small Forward drafted 4th) is one standout here as he averaged close to 30 points. On the other side of things Yannik Nzosa(Center Drafted 54) only had 8 points internationally while playing for Real Betis in the Liga ACB.

Same graph from above but with linear regression.

In NBA terms field goal percentage is described as when the ball is scored into the basket. It can either be a 2 or a 3 pointer. In this graph the player with the highest field goal% was Mark Williams (Center drafted 16) with % of around 71. If you can remember Mark Willimas also had the highest EFG%(Effective Field Goal Percentage) which means he makes most of his shots and also makes smart shooting decisions.

Same graph from above with linear regression. You can see the average field goal% from this year's draft class was around 47%.

Another statistic we measured was the number of games played. This is a vital stat as we can possibly see what players got injured during collegiate careers. Usually college teams will play around 25-35 games per season. Players that have played more than 35 games are usually international players as the number of games varies for each international league. There are about 7 players from the graph above that have played less than that total(Again not counting Shaedon Sharpe). As one can see one player that comes with significant injury history is Patrick Baldwin Jr (Power Forward Drafted 28). Patrick Baldwin Jr played a total of 14 games for Milwakuee and had two major injuries limiting him to play very few games. Time will only tell for Balwin whether these injuries will have a lasting effect on his NBA career.

Once again the same graph but with the regression line. As you can see the average is around 31. The average slightly goes up as international players usually play more games than college players.

Plus/Minus shows a player’s direct impact on the game and represents how many points the team scored when a player is playing versus how many points the other team scored when the player is playing. Chet Holmgren has the highest plus/minus score in this year's draft with 15. As you can see a player can indeed have a negative score (as shown with Patrick Baldwin Jr and Jaden Hardy). A negative score means that when the player is on the floor the opposing team scored more points. If a player has a low plus/minus score it often means that their defending is not as good.

As expected, once you go down in the draft the plus/minus score starts to decrease as well.

Win shares is an individual stat that highlights a player’s direct involvement is a win. It measures a player in offense, defense and playing time. Win shares are a great statistic to measure a player’s overall involvement in a team win. One player that surpasses the rest according to the graph is Keggan Murray with a whopping win share rate of 8.7. This shows how vital Murray is to his team as single handedly wins some games for his team. A negative win share means that a specific player was so poor that he took away wins that his teammates had generated. One player that had a negative win share was Ousmane Dieng. This might be excusable as Dieng came from an international league where players are older and more physical than him.

Same graph from above with a linear regression line. The average slightly goes up as Keegan Murray has a win share higher of more than 2 than the next player.

The next graph is usage rate. In NBA terms usage rate describes the number of team plays that were used by a player while on the floor. A high usage rate is around 30-35% in the NBA and the average is around 20%. Based on the graph the highest usage rate was around 32 by Johnny Davis and the lowest was approx. 14% by Yannick Nzosa.

Here is the graph with linear regression.

Defensive win shares measure a player’s defensive value or their defensive ability while playing. A high defensive win share rating results in the player being a very effective defender and boosts the overall defense of the team while he is on the floor. Chet Holmgren had the highest defensive win share rating of 3.1.

As you can see win shares dramatically fall off as the draft position goes down which means more effective defenders are found at the top of the draft.

Steals are an important stat to measure for a player’s defensive attributes. Players who have the best steal rate are more or less considered to be elite defenders at the NBA level. One outlier we can see is Kennedy Chandler with a steal per game rate of 2.2.

With the regression line we can see the average is around 1.