Re: Celtics comments
Posted: Thu Mar 13, 2025 8:07 pm
Celtics lineup results by tier:
5 most used, 812 minutes at avg of +8.1 pts / 100p.
Next 10 most used, 448 min. at +17.7pts.
Other 300, 1260 min at +6.3. These super dinks have been used more than 50% more than the 15 most used and for barely more than half as positive the average result (+6.3 to the average for the top 15 of +11.5).
Limits to playing time of top guys but could overall results be enhanced? I'd say likely. Got to find / go for the optimal mix of starting unit, lineups with 3 or 4 starters and other stuff if necessary or useful.
Should some of the top 5 play less? Probably. Some of the next 10 play more? Yes. Different mix of the rest? Yes. Eliminate many of the superdink 300? Yes.
How dink are the superdinks? Roughly 95% of all lineups have been used an average of 4.2 minutes each for the season.
Everything fine, let Mazzulla do it his way? Or modify to some degree? I am in the latter camp.
Mazzula used 87 lineups in last playoffs. That means 70+% of regular season lineups were not used. "Should" imo be less, probably quite a bit less. 5 most used lineups provide 112% of the net margin. Operating at +16.6 pts / 100p to the average of -2 for the other 82.
Is this lineup analysis meaningful? It is to me.
Does this actual lineup management look optimal to you? Good enough? Don't care?
In 5 minutes I took the 5 most used lineups, made 3 minor adjustments and found a lineup rotation for full 48 minutes and within every player's actual minutes.
Don't have to use just 5 but it can be done and the plan should probably be far from the actual. In the actual 87 lineups played 917 minutes across 19 games, the average lineup was being used barely more than equivalent of half a minute per game. Plenty of room for more selectivity, based on data or judgment or the pre-meditated combination of the two.
Is it not a quibble over a small difference. This is a huge difference with a huge difference of opinion with likely large impacts.
It might have a better chance of having impact if it was coming from the Director of Analytics, the Assistant General Manager or the General Manager. Or even one of the 5-10 most prominent public analysts. But fwiw, I'll say it.
5 most used, 812 minutes at avg of +8.1 pts / 100p.
Next 10 most used, 448 min. at +17.7pts.
Other 300, 1260 min at +6.3. These super dinks have been used more than 50% more than the 15 most used and for barely more than half as positive the average result (+6.3 to the average for the top 15 of +11.5).
Limits to playing time of top guys but could overall results be enhanced? I'd say likely. Got to find / go for the optimal mix of starting unit, lineups with 3 or 4 starters and other stuff if necessary or useful.
Should some of the top 5 play less? Probably. Some of the next 10 play more? Yes. Different mix of the rest? Yes. Eliminate many of the superdink 300? Yes.
How dink are the superdinks? Roughly 95% of all lineups have been used an average of 4.2 minutes each for the season.
Everything fine, let Mazzulla do it his way? Or modify to some degree? I am in the latter camp.
Mazzula used 87 lineups in last playoffs. That means 70+% of regular season lineups were not used. "Should" imo be less, probably quite a bit less. 5 most used lineups provide 112% of the net margin. Operating at +16.6 pts / 100p to the average of -2 for the other 82.
Is this lineup analysis meaningful? It is to me.
Does this actual lineup management look optimal to you? Good enough? Don't care?
In 5 minutes I took the 5 most used lineups, made 3 minor adjustments and found a lineup rotation for full 48 minutes and within every player's actual minutes.
Don't have to use just 5 but it can be done and the plan should probably be far from the actual. In the actual 87 lineups played 917 minutes across 19 games, the average lineup was being used barely more than equivalent of half a minute per game. Plenty of room for more selectivity, based on data or judgment or the pre-meditated combination of the two.
Is it not a quibble over a small difference. This is a huge difference with a huge difference of opinion with likely large impacts.
It might have a better chance of having impact if it was coming from the Director of Analytics, the Assistant General Manager or the General Manager. Or even one of the 5-10 most prominent public analysts. But fwiw, I'll say it.