Talking tempo free
Mr. Rexrode was kind enough to mention us on his blog today. The blurb:
Before going any further, I'd like to appease the TPS Police before they come after me (no, I'm not talking TPS Reports, I'm talking tempo-free stats). I enjoy them, believe in them, still reluctant to use them in stories and spend several grafs explaining them. Here's a glance at them. And as I've said to the folks at TOC and elsewhere, when Izzo stops citing dinosaur stats such as rebounding margin and plain old FG percentage, I'll consider doing the same.
Rexrode is apparently a closeted tempo-free fan. I agree with him that most tempo-free numbers are more complex than what the median college sports fan is looking for. Explaining points per possession or effective field goal percentage in a newspaper column probably doesn't work all that well.
But I do think there's some middle ground for using tempo-free concepts to enhance the experience of the great unwashed masses without unduly confusing them. The two areas that rank highest on my wish list:
- Report two-point shooting separately. Pointing out that Michigan State made 22 of 36 attempts inside the arc on Sunday does a much better job of communicating how well they were able to create good shots close to the rim than saying they shot 52.2% from the field but only 20.0% on three-pointers does. And the former is actually a lot easier to wrap your head around numerically.
- Report offensive and defensive rebounding separately. Sunday's game isn't a good example here, since MSU dominated the boards on both ends, but often times a team is very good on the glass on one end of the court but not the other in a given game (offensive and defensive rebounding are distinct skills). Giving specific numbers on one end (e.g., MSU grabbed 28 of 31 defensive rebounding chances) paints a much clearer picture than rebounding margin does.
Rexrode obviously doesn't need any journalism advice from me, a purportedly-retired blogger. (His good deed is not going unpunished, as I pick on him regarding this general topic for the second time in two months.) But I spend a lot of time thinking about the most effective way to present data to people. And I think there's room for improved reporting of basketball statistics that falls well short of dumping PORPAG figures on people. (Another sign of progress and/or shark-jumping: Dick Vitale plugged John Gasaway during the Kentucky-Florida game tonight.)
As for Izzo, my take is that this equation generally holds true:
Tom Izzo's intuition + clunky stats > accurate stats
The rest of us need the best numbers we can get.
And, as Mr. Pomeroy pointed out, Izzo's intuition is fed by an extremely thorough video scouting and analysis process. The kinds of data he gets behind the scenes are probably much more sophisticated than basic four factor numbers.
Plus, in the case of rebounding margin at least, it's not that the number doesn't tell Izzo if his team is playing well. It's just that it doesn't accurately tell him exactly how they're playing well--defensive rebounding vs. field goal defense, etc. Needless to say, he's pretty good at figuring that out himself.
Since we're talking tempo-free numbers. I was struck by how similar most of the four factor numbers were between the two Michigan-Michigan State games:
| AA | EL | |
| MSU | ||
| Off Efficiency | 103.0 | 107.4 |
| Effective FG% | 55.0 | 54.4 |
| 2-point % | 48.6 | 61.1 |
| 3-point % | 46.7 | 20.0 |
| Turnover % | 24.4 | 25.2 |
| Off Rebounding % | 36.0 | 48.0 |
| Free Throw Rate | 10.0 | 43.5 |
| UM | ||
| Off Efficiency | 104.8 | 90.6 |
| Effective FG% | 57.8 | 46.9 |
| 2-point % | 70.8 | 46.2 |
| 3-point % | 28.6 | 31.8 |
| Turnover % | 14.0 | 16.8 |
| Off Rebounding % | 8.3 | 9.7 |
| Free Throw Rate | 28.9 | 25.0 |
For MSU, the low three-point percentage on Sunday offset the big increase in two-point shooting. Spartan three-point attempts rimmed out throughout the game, preventing the team from ever pushing lead up to 20. A larger number of free throw attempts certainly helped, although 10 of MSU's 20 attempts from the line came in the final two minutes.
For Michigan, the only significant change was in two-point shooting. Beyond that, the basic shape of the stats was the same in both games: MSU lost the turnover battle but dominated on the boards.
This all goes to highlight the dividends paid from defensive adjustment against Trey Burke. In Ann Arbor, Burke was 5 for 5 on two-point attempts and 3 for 5 on three-point attempts. Sunday, he was only 2 for 5 inside the arc and 2 for 6 outside it--with one of those thee-point makes being of the indefensible variety. Izzo implemented a scheme that forced other guys to beat MSU. Tim Hardaway, Jr. (3 for 9 from the field in Ann Arbor, 1 for 10 on Sunday) was again a non-factor. And Michigan just doesn't have any other players right now who can beat you offensively on a high number of possessions.
Again, Tom Izzo has a pretty good sense of what's driving the final scoreline.
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Thaks for this
I think the Illinois game took some wind out of peoples sails but this game has hyped me up again as a Spartan basketball fan.
And I do wonder if there would be any significant difference in how the team played if Izzo adopted tempo free stats. Probably not because like you said it would just tell him things he’s already intuiting, but I don’t think it could hurt either.
They lost by a point on the road in a game when Green was less than 100% and the Illinios game worried you?
Point taken there
However, it was a performance ugly enough to make your eyes bleed. Having Green out for much of it was a major factor, but we had enough chances to make it a W, and it got away from us. I think that’s what he meant about taking some wind out of the sails. When you see a performance like that it inevitably slows the momentum down a bit.
by Chitown Spartan on Feb 8, 2012 12:02 PM CST up reply actions
I'm sure Izzo's instincts plus film study plus basic stats
give him a pretty clear picture of performance. Tempo free stats are useful benchmarks for a coack, I think. They tell you at a macro level how your team is performing much better than non-tempo-free stats do. They can tell you whether player X is playing well, and what that player is doing well (hitting threes, not turning it over, grabbing rebounds), but without the context of film study they don’t give you any way to improve team performance.
They describe team performance, but you won’t get very good results if all you do is tell the team they need to improve their effective field goal percentage. The film breakdown that Dylan over at UMHoops does is necessary to actually get the team to perform better – you need to know an opponent’s tendencies, what plays will work against that opponent, which players can exploit mismatches, etc. in order to play well. Jusk knowing that a team’s rebounding percentage will help that team win doesn’t give the coach any way to improve the team’s rebounding percentage.
I’m sure Izzo gets more benefit out of film study than looking at stats, raw or tempo free – that’s where he figures out what sets to run, what variations on those sets will work well, and where to get the ball and how to design plays that will get the ball there. Same thing on D – figuring out who shoots well from where, what teams do to get the ball to them at that point on the court, and how to disrupt that offensive goal. I think the tempo free revolution provides a susinct summary of what particular teams do well, what a team did at a game-level to win or lose a game, and how likely team X is to beat team Y. That info is less valuable to a coach who has to manage a game on a play-by-play basis and figure out how to beat the opponent on a majority of possessions.
Amen
You don’t manage the score – you manage the plays that lead to points that results in a score.
by tomax powers on Feb 8, 2012 12:44 PM CST up reply actions
What is the standard of signifigance? Not from a purely statistical standpoint (ie. p value) but how do you determine what is similar?
When I look at this chart I see 4 statistics for MSU and 3 statistics for UM that seem to be to be very divergent (I bolded them) between the two meetings.
MSU AA EL
Off Efficiency 103.0 107.4
Effective FG% 55.0 54.4
2-point % 48.6 61.1
3-point % 46.7 20.0
Turnover % 24.4 25.2
Off Rebounding % 36.0 48.0
Free Throw Rate 10.0 43.5
UM
Off Efficiency 104.8 90.6
Effective FG% 57.8 46.9
2-point % 70.8 46.2
3-point % 28.6 31.8
Turnover % 14.0 16.8
Off Rebounding % 8.3 9.7
Free Throw Rate 28.9 25.0
Off the stats I highlighted none of them had a change of less than 12 (percent or whatever Offensive efficiency measures). All told, 7 of the 14 measured stats for both teams had a change of at least 12% (some as many as 27%) which seems to me the opposite “similar stats between meetings”.
So what does this (a non news stats guy) tell me?
Big picture point
The thing MSU did really well on Sunday—rebounding the ball—they had also done very well in Ann Arbor. And they didn’t fix the biggest deficiency from the AA game—turnovers.
The difference between a close loss and a comfortable win can turn on a single factor—forcing Burke to play like a true freshman, in this case.
(I think if you did this comparison between pair of games played between conference opponents in other cases, you’d generally find a lot more divergence in the numbers—particularly if you ignore the 2pt/3pt% components and only look at eFG%.)
by KJ@theonlycolors on Feb 8, 2012 2:30 PM CST up reply actions
Thank you.
Doctor: You had an acute myocardial infarction.
Patient: A what?!!
Doctor: You had a heart attack.
The Burke factor
I’d have to say that the improved defense on Burke was most clearly expressed in the difference in 2-point% for UM. Fewer drives for Burke and fewer dishes to open cutters/post players.

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