SWC75
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In past years I made a report called “Net Points, etc.” after each game. I’ve decided to try to find ways to cut back on the time I spent doing these posts. I’ve decided to do them once a month rather than after each game.
Again, the ‘net points’ (NP) formula is to add up all the positives in the box scores for each player: points (p), rebounds (r), assists (a), steals (s) and blocks (b) and subtract the negatives: missed field goals (mfg), missed free throws (mft), turnovers (to) and personal fouls (pf). In addition to NP, I provide offensive efficiency (OE) and floor game (FG). OE is p – (mfg + mft), the points you are producing minus the missed shots you are making trying to produce them. FG is NP – OE. What are you doing for – or to- your team other than the attempts to score points. These numbers are all per 40 minutes of play. I also offer the average minutes per the number of games the player has played. Only recruited players are listed. Walk-ons, even if they get scholarships, are not. Players are listed by average minutes played per game.
All numbers are from the ‘stats’ page and game box scores, (see ‘schedule’) on Cuse.com:
Men's Basketball - Syracuse University Athletics
Here are my numbers after November:
Net Points, etc. after November
JJ Starling 34.5m
13.7p 4.5r 3.4a 1.2s 0.3b = 23.1+
7.6mfg 0.7mft 2.4to 1.6pf = 12.3-
10.8NP 5.4OE, 5.4FG
His rebound average has dropped from 6.4 to 4.5 since the end of November. It’s taken his floor game from 7.6 to 5.4. But his - and Judah’s minutes have hardly changed.
Judah Mintz 31.2m
24.6p 3.8r 4.8a 2.9s 0.3b = 36.4+
8.9mfg 2.5mft 3.7to 3.3pf = 18.4-
18.0NP, 13.2OE, 5.9FG
Judah is a good FT shooter (77.5%) but misses more than some worse FT shooters because he shoots so many of them. The biggest change in his numbers is that his fouls have increased from 2.4 to 3.3.
Chris Bell 29.0m
17.2p 3.4r 1.2a 0.8s 0.8b = 23.6+
10.8mfg 0.4mft 1.5to 2.5pf = 15.2-
8.4NP 6.0OE 2.4FG
His minutes have begun to slip; 29.0 to 25.4. His scoring has dropped from 20.1 to 17.2. His OE has dropped from 8.1 to 6.0. He has to score to justify being out there because he doesn’t do enough of the other things. I have the somewhat arbitrary standard that a starter should be averaging 10 NP/40. Chris was 10.1 after November. Now he’s 8.4.
Justin Taylor 27.4m
10.2p 8.1r 2.4a 1.2s 0.4b = 22.3+
7.0mfg 0.2mft 1.7to 2.1pf = 11.0-
11.3NP 3.0OE 8.3FG
His numbers haven’t changed much per 40 minutes but with Benny Williams and Quadir Copeland coming on so strong, they may not be enough to prevent his minutes from continuing to go down.
Maliq Brown 22.8m
14.9p 9.9r 1.4a 3.8s 1.2b = 31.4+
2.2mfg 0.3mft 1.5to 4.9pf = 8.9-
22.5NP 12.4OE 10.1FG
Maliq’s minutes have gone up from 19.3 to 22.8. Strangely, his steals have actually gone down from 5.3 to 3.8. He’s become a terrific free throw shooter, rising from 56.7 to 86.7.
Naheem McLeod 15.0m
11.0P 11.8r 0.2a 0.6s 5.3b = 28.9+
2.7mfg 1.4mft 1.0to 1.6pf = 6.7-
22.2NP 6.9OE 15.3FG
Naheem’s numbers have actually improved but people still complain about him. He hasn’t made a shot in four games but he’s done other things well. Red prefers Maliq when the other teams have bigs who can shoot for distance.
Quadir Copeland 16.0m
17.1p 11.6r 5.6a 2.5s 0.5b = 37.3+
5.3mfg 1.7mft 3.9to 3.9pf = 14.8-
22.5NP 10.1OE 12.4FG
His minutes have increased from 16.0 to 19.6. His scoring has gone from 11.4 to 17.1. His fouls have gone from 2.5 to 3.9. NP increased from 18.6 to 22.5.
Benny Williams 14.9m
15.5p 8.4r 3.3a 1.8s 2.4b = 31.4+
6.9mfg 2.1mft 3.0to 4.8pf = 16.8-
14.6NP 6.5OE 8.1FG
Benny seems to have put his problems behind him and enjoying being part of an exciting team. His scoring has increased from 13.1 to 15.5 and his assists from 2.3 to 3.3. His steals went from 3.1 to 1.8 but his blocks went from 0.8 to 2.4. His missed shots dropped from 9.2 to 6.9. The net result was that his NP went up to 14.6 from 11.7, his OE from 3.9 to 6.5.
Kyle Cuffe 11.5m
13.2p 4.0r 1.6a 2.4b 1.1b = 22.3+
7.5mfg 0.3mft 3.0to 6.4pf = 17.2-
5.1NP 5.4OE -0.3FG
Cuffe has been a traditional reserve, an emergency guy when Mintz or Starling get in foul trouble. His NP has improved from 0.6 to 5.1, but he commits too many fouls for a long stretch of playing time.
Peter Carey 3.0m
6.7p 13.3r 0.0a 0.0s 0.0b = 20.0+
6.7mfg 0.0mft 0.0to 6.7pf = 13.4-
6.6NP 0.0OE 6.6FG
He’s only played 12 minutes, all in November.
Mounir Hima 5.0m
10.6p 8.0r 2.7a 0.0s 2.7b = 24.0+
0.0mfg 0.0mft 0.0to 2.7pf = 2.7-
21.3NP 10.6OE 10.7FG
He’s played 15 minutes in 3 games. All his numbers come from one: the Georgetown game.
Not playing: Chance Westry (will be out the whole season?) and William Patterson, a sort of apprentice McLeod who will likely red-shirt. I wonder if he could make a decent back-up center with Carey not up to it and Hima still hurting.
Our most productive line-up, based on the positions the players have bene used in, (and limited to guys who have averaged 10 minutes or more per game.) is:
C- Maliq Brown 22.5NP (But how about Naheem McLeod 22.2 with Maliq Brown at PF?)
PF- Benny Williams 14.6NP
SF- Quadir Copeland 22.5NP (Could he be SG, even if he can’t shoot, with Benny at SF?)
SG – JJ Starling 10.8NP (I consider Justin Taylor to be a forward)
PG- Judah Mintz 18.0NP
TEAM
Some old favorites:
Unsettled Situations
[Second Chance Points+ Points off Turnovers] divided by [Offensive Rebounds + Opposition Turnovers)
We had 358 points in 335 unsettled situations = 1.068 1.046 points/situation
They had 331 points in 316 unsettled situations = 1.047 1.115 points/situation
We improved from 1.046 to 1.068 when we had the ball but made a huge improvement when we were on defense from 1.115 to 1.047. It think it’s about maintaining intensity, a very big thing with Red Autry.
Manufactured Possessions
(One teams rebounds + the other team’s turnovers)
We had 495 + 199 = 694
They had 499 + 166 = 665
Keep taking the ball away! If we can break even on the boards, we’ll be in good shape.
Fast Break Percentage
(FBP/(defensive rebounds + blocks + steals)
We scored 195 FBP in 541 opportunities (36.0%)
They scored 136 FBP in 428 opportunities (31.8%)
We’re now running 36% of the time instead of 33% but the opposition increased from 31% to 32%. We went from 96 fast break points in 7 games to 99 in 6. But our opposition went from 78 to 58, indicating we are defending the fast break much better.
First Chance Points
(First Chance Points, which is total points - second chance points – fast break points – free throws made)
We had 1,019 – 119 – 195 – 166 = 539 FCP
They had 916 - 157 – 136 – 147 = 476 FCP
We are doing much better in our initial sets than I would have expected with our lack of jump shooting. We’ve scored 80+ points for five games in a row, (since the Virginia debacle). In November, we scored 20 more points from the foul line than our 7 opponents. In December, we scored 1 less than our 6 opponents, despite the efforts of Juda Mintz, (and lately, Quadir Copeland).
Assists
(The percentage of a team’s baskets that were assisted)
We assisted 183 of our 369 field goals = 49.6%
They assisted 175 of their 342 field goals = 51.2%
Assists are given for jump shots more than anything else but we have such a good passing teams and are trying to run every time we can, so we should get quite a few of them. Our opponents are worse than we are from three point range, (32.7%-30.2%), so our perceived deficit in that department is actually an advantage. Still, we remain a bit behind in this department because we have so many guys who like to drive to the basket on their own to score.
Team Offensive Possession Efficiency
If we just use FGA + (47.5% FTA) and thus count an offensive rebound as an additional possession and a turnover as a lost possession:
We scored 1,019 points in 935 possessions = 1.090 points/ possession
They scored 916 points in 915 possessions = 1.001 points/possession
Both our team and the opposition improved their efficiency. I think the difference is that the teams play better in the second month of the season than the first: they are improving. The question is: who improves the most?
Team Shooting Efficiency
We scored 1,019 on 537 two-point attempts, 281 three-point attempts and 247 free throw attempts = 1,019 of a possible 2,164 points = 47.1% of possible points scored.
They scored 916 on 495 two-point attempts, 315 three-point attempts and 219 free throw attempts = 916 of a possible 2,154 points = 42.5% of possible points scored.
Driving to the basket and running increases your efficiency, even if they are two-point shots.
Fouls
(Most fouls are called on two point shot attempts.)
We attempted 537 two-point shots and were fouled 202 times = 2.66
They attempted 495 two-point shots and were fouled 203 times = 2.44
In November, we committed 13 more fouls than the opposition did. In December we committed 12 fewer, so we are becoming more efficient on defense. But the opposition is more likely to get the call. If they’d attempted 537 two pointers, they’d have been foul 220 times based on the above stats. The refs may not be buying Judah’s act as much.
Again, the ‘net points’ (NP) formula is to add up all the positives in the box scores for each player: points (p), rebounds (r), assists (a), steals (s) and blocks (b) and subtract the negatives: missed field goals (mfg), missed free throws (mft), turnovers (to) and personal fouls (pf). In addition to NP, I provide offensive efficiency (OE) and floor game (FG). OE is p – (mfg + mft), the points you are producing minus the missed shots you are making trying to produce them. FG is NP – OE. What are you doing for – or to- your team other than the attempts to score points. These numbers are all per 40 minutes of play. I also offer the average minutes per the number of games the player has played. Only recruited players are listed. Walk-ons, even if they get scholarships, are not. Players are listed by average minutes played per game.
All numbers are from the ‘stats’ page and game box scores, (see ‘schedule’) on Cuse.com:
Men's Basketball - Syracuse University Athletics
Here are my numbers after November:
Net Points, etc. after November
JJ Starling 34.5m
13.7p 4.5r 3.4a 1.2s 0.3b = 23.1+
7.6mfg 0.7mft 2.4to 1.6pf = 12.3-
10.8NP 5.4OE, 5.4FG
His rebound average has dropped from 6.4 to 4.5 since the end of November. It’s taken his floor game from 7.6 to 5.4. But his - and Judah’s minutes have hardly changed.
Judah Mintz 31.2m
24.6p 3.8r 4.8a 2.9s 0.3b = 36.4+
8.9mfg 2.5mft 3.7to 3.3pf = 18.4-
18.0NP, 13.2OE, 5.9FG
Judah is a good FT shooter (77.5%) but misses more than some worse FT shooters because he shoots so many of them. The biggest change in his numbers is that his fouls have increased from 2.4 to 3.3.
Chris Bell 29.0m
17.2p 3.4r 1.2a 0.8s 0.8b = 23.6+
10.8mfg 0.4mft 1.5to 2.5pf = 15.2-
8.4NP 6.0OE 2.4FG
His minutes have begun to slip; 29.0 to 25.4. His scoring has dropped from 20.1 to 17.2. His OE has dropped from 8.1 to 6.0. He has to score to justify being out there because he doesn’t do enough of the other things. I have the somewhat arbitrary standard that a starter should be averaging 10 NP/40. Chris was 10.1 after November. Now he’s 8.4.
Justin Taylor 27.4m
10.2p 8.1r 2.4a 1.2s 0.4b = 22.3+
7.0mfg 0.2mft 1.7to 2.1pf = 11.0-
11.3NP 3.0OE 8.3FG
His numbers haven’t changed much per 40 minutes but with Benny Williams and Quadir Copeland coming on so strong, they may not be enough to prevent his minutes from continuing to go down.
Maliq Brown 22.8m
14.9p 9.9r 1.4a 3.8s 1.2b = 31.4+
2.2mfg 0.3mft 1.5to 4.9pf = 8.9-
22.5NP 12.4OE 10.1FG
Maliq’s minutes have gone up from 19.3 to 22.8. Strangely, his steals have actually gone down from 5.3 to 3.8. He’s become a terrific free throw shooter, rising from 56.7 to 86.7.
Naheem McLeod 15.0m
11.0P 11.8r 0.2a 0.6s 5.3b = 28.9+
2.7mfg 1.4mft 1.0to 1.6pf = 6.7-
22.2NP 6.9OE 15.3FG
Naheem’s numbers have actually improved but people still complain about him. He hasn’t made a shot in four games but he’s done other things well. Red prefers Maliq when the other teams have bigs who can shoot for distance.
Quadir Copeland 16.0m
17.1p 11.6r 5.6a 2.5s 0.5b = 37.3+
5.3mfg 1.7mft 3.9to 3.9pf = 14.8-
22.5NP 10.1OE 12.4FG
His minutes have increased from 16.0 to 19.6. His scoring has gone from 11.4 to 17.1. His fouls have gone from 2.5 to 3.9. NP increased from 18.6 to 22.5.
Benny Williams 14.9m
15.5p 8.4r 3.3a 1.8s 2.4b = 31.4+
6.9mfg 2.1mft 3.0to 4.8pf = 16.8-
14.6NP 6.5OE 8.1FG
Benny seems to have put his problems behind him and enjoying being part of an exciting team. His scoring has increased from 13.1 to 15.5 and his assists from 2.3 to 3.3. His steals went from 3.1 to 1.8 but his blocks went from 0.8 to 2.4. His missed shots dropped from 9.2 to 6.9. The net result was that his NP went up to 14.6 from 11.7, his OE from 3.9 to 6.5.
Kyle Cuffe 11.5m
13.2p 4.0r 1.6a 2.4b 1.1b = 22.3+
7.5mfg 0.3mft 3.0to 6.4pf = 17.2-
5.1NP 5.4OE -0.3FG
Cuffe has been a traditional reserve, an emergency guy when Mintz or Starling get in foul trouble. His NP has improved from 0.6 to 5.1, but he commits too many fouls for a long stretch of playing time.
Peter Carey 3.0m
6.7p 13.3r 0.0a 0.0s 0.0b = 20.0+
6.7mfg 0.0mft 0.0to 6.7pf = 13.4-
6.6NP 0.0OE 6.6FG
He’s only played 12 minutes, all in November.
Mounir Hima 5.0m
10.6p 8.0r 2.7a 0.0s 2.7b = 24.0+
0.0mfg 0.0mft 0.0to 2.7pf = 2.7-
21.3NP 10.6OE 10.7FG
He’s played 15 minutes in 3 games. All his numbers come from one: the Georgetown game.
Not playing: Chance Westry (will be out the whole season?) and William Patterson, a sort of apprentice McLeod who will likely red-shirt. I wonder if he could make a decent back-up center with Carey not up to it and Hima still hurting.
Our most productive line-up, based on the positions the players have bene used in, (and limited to guys who have averaged 10 minutes or more per game.) is:
C- Maliq Brown 22.5NP (But how about Naheem McLeod 22.2 with Maliq Brown at PF?)
PF- Benny Williams 14.6NP
SF- Quadir Copeland 22.5NP (Could he be SG, even if he can’t shoot, with Benny at SF?)
SG – JJ Starling 10.8NP (I consider Justin Taylor to be a forward)
PG- Judah Mintz 18.0NP
TEAM
Some old favorites:
Unsettled Situations
[Second Chance Points+ Points off Turnovers] divided by [Offensive Rebounds + Opposition Turnovers)
We had 358 points in 335 unsettled situations = 1.068 1.046 points/situation
They had 331 points in 316 unsettled situations = 1.047 1.115 points/situation
We improved from 1.046 to 1.068 when we had the ball but made a huge improvement when we were on defense from 1.115 to 1.047. It think it’s about maintaining intensity, a very big thing with Red Autry.
Manufactured Possessions
(One teams rebounds + the other team’s turnovers)
We had 495 + 199 = 694
They had 499 + 166 = 665
Keep taking the ball away! If we can break even on the boards, we’ll be in good shape.
Fast Break Percentage
(FBP/(defensive rebounds + blocks + steals)
We scored 195 FBP in 541 opportunities (36.0%)
They scored 136 FBP in 428 opportunities (31.8%)
We’re now running 36% of the time instead of 33% but the opposition increased from 31% to 32%. We went from 96 fast break points in 7 games to 99 in 6. But our opposition went from 78 to 58, indicating we are defending the fast break much better.
First Chance Points
(First Chance Points, which is total points - second chance points – fast break points – free throws made)
We had 1,019 – 119 – 195 – 166 = 539 FCP
They had 916 - 157 – 136 – 147 = 476 FCP
We are doing much better in our initial sets than I would have expected with our lack of jump shooting. We’ve scored 80+ points for five games in a row, (since the Virginia debacle). In November, we scored 20 more points from the foul line than our 7 opponents. In December, we scored 1 less than our 6 opponents, despite the efforts of Juda Mintz, (and lately, Quadir Copeland).
Assists
(The percentage of a team’s baskets that were assisted)
We assisted 183 of our 369 field goals = 49.6%
They assisted 175 of their 342 field goals = 51.2%
Assists are given for jump shots more than anything else but we have such a good passing teams and are trying to run every time we can, so we should get quite a few of them. Our opponents are worse than we are from three point range, (32.7%-30.2%), so our perceived deficit in that department is actually an advantage. Still, we remain a bit behind in this department because we have so many guys who like to drive to the basket on their own to score.
Team Offensive Possession Efficiency
If we just use FGA + (47.5% FTA) and thus count an offensive rebound as an additional possession and a turnover as a lost possession:
We scored 1,019 points in 935 possessions = 1.090 points/ possession
They scored 916 points in 915 possessions = 1.001 points/possession
Both our team and the opposition improved their efficiency. I think the difference is that the teams play better in the second month of the season than the first: they are improving. The question is: who improves the most?
Team Shooting Efficiency
We scored 1,019 on 537 two-point attempts, 281 three-point attempts and 247 free throw attempts = 1,019 of a possible 2,164 points = 47.1% of possible points scored.
They scored 916 on 495 two-point attempts, 315 three-point attempts and 219 free throw attempts = 916 of a possible 2,154 points = 42.5% of possible points scored.
Driving to the basket and running increases your efficiency, even if they are two-point shots.
Fouls
(Most fouls are called on two point shot attempts.)
We attempted 537 two-point shots and were fouled 202 times = 2.66
They attempted 495 two-point shots and were fouled 203 times = 2.44
In November, we committed 13 more fouls than the opposition did. In December we committed 12 fewer, so we are becoming more efficient on defense. But the opposition is more likely to get the call. If they’d attempted 537 two pointers, they’d have been foul 220 times based on the above stats. The refs may not be buying Judah’s act as much.
