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Post by eric on Jan 24, 2015 15:41:55 GMT -6
In this post I will define ORtg+ and DRtg+ as the team's ORtg and DRtg relative to the league mean that year. A positive number is always better: a team with 3 ORtg+ had an ORtg 3 points better than the league average, a team with 3 DRtg+ had a DRtg 3 points better than the league average.
Year ORtg+ DRtg+ Pace+ Team
3000 3.62 3.13 1.15 Jazz
3001 8.39 0.44 5.30 Pistons
3002 11.97 5.22 3.77 Jazz
3003 9.07 7.45 -4.13 Mavericks
3004 9.86 8.70 2.85 Grizzlies
3005 11.85 7.52 2.05 Mavericks
3006 8.26 4.19 4.01 Kings
3007 6.61 3.74 0.41 Cavaliers
3008 9.46 9.19 0.20 Magic
3009 4.74 4.68 0.24 Grizzlies
3010 11.03 5.12 -1.09 Rockets
3011 7.97 6.99 0.19 Rockets
xxxx 8.57 5.53 1.25 Average
Offense and defense are both important, I assume this comes as no surprise. Pace is also important, which might. Consider last year: the Bulls and Rockets were the cream of the league with 15 Net Rtg+, but the Rockets reached the Finals and the Bulls did not. Why? When the Bulls and Cavs played, the average pace+ was -.82; when the Rockets and Mavs played, the average pace+ was -.03. Coincidence, or does slow pace increase the odds of the better team losing? Clearly in the extreme case where each team takes one shot, it is very easy for the better team to lose, and in the opposite extreme of infinite shots the better team will always win. The question is if there are other pace-related phenomena (fouling? better/worse shots?) that muddy these effects.
Tomorrow I will tabulate the playoff results, I anticipate finding a linear function of NetRtg and Pace to explain Success.
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Post by Odin on Jan 24, 2015 16:38:42 GMT -6
very fast/always/always/outside for life
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RWisoursavior
Former GM
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Post by RWisoursavior on Jan 24, 2015 17:50:40 GMT -6
I have no fucking clue.
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Post by ANK1990 on Jan 24, 2015 19:01:59 GMT -6
We need to get this guy a spreadsheet.
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Post by 20s Navidad on Jan 24, 2015 20:13:06 GMT -6
Scoring more points than your opposition.
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Swaggy Z
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Post by Swaggy Z on Jan 25, 2015 1:47:57 GMT -6
Eric..... Slow down, you're confusing me.
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Post by eric on Jan 25, 2015 12:25:00 GMT -6
If I'm right, then we should observe that faster paced matchups are less likely to produce upsets. We have 12 years * 15 series per year = 180 data points, but if we take all the series by average Pace+ and bin them into intervals of one, we in fact find...
Pace+ Wins Losses Pct -5 3 1 75.0% -4 4 2 66.7% -3 7 1 87.5% -2 12 4 75.0% -1 25 5 83.3% 0 22 5 81.5% 1 24 10 70.6% 2 19 7 73.1% 3 12 7 63.2% 4 4 5 44.4% 5 0 1 0.0%
...which regresses to Favored Win Pct = -.05 * Pace + k, or that SLOWER paced matchups are less likely to produce upsets. This qualitative finding holds even if we restrict ourselves to those bins with 10+ members. Although the coefficient is reduced to -.03, the R^2 increases to .5325.
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But not all favorites are as favored. We are equating the narrowest upset with the most shocking, let us instead sum the Net Rtg+ of all outcomes. If there are for example three series at 4 Pace+, we get the heavy favorite right and two slight favorites wrong, we will get a positive number. If instead we miss the heavy favorite and get the two slight favorites right, we will get a negative number...
Pace+ Count Avg -5 4 2.17 -4 6 3.81 -3 8 3.41 -2 16 3.96 -1 30 3.72 0 27 3.73 1 34 1.72 2 26 3.05 3 19 0.99 4 9 0.67 5 1 -0.46
...again, we get the opposite of what we expected. Pace+ is still negatively correlated with reaching the expected outcome. I believe the explanation is that while some teams are slower than others, every team in this league plays at an extremely high pace. The lowest last year was the Raptors' 107.4, which if it took place in the NBA would be the fastest pace in 25 years... and they're the TORTOISE of this league. The binomial distributions of each team are thus about as separate as they are going to get, but perhaps pace can impact other statistical accumulation, specifically in the form of personal fouls. Especially in a league where robot coaches have significant autonomy, it stands to reason that even if team A has better starters than team B, both teams getting in foul trouble will instead pit backups or end of bench guys against each other where team A's advantage is reduced.
The next step is to go through the box scores of the playoffs to see if this is actually what happened, to see if higher paced teams (a) played at a higher pace and (b) suffered more fouls as a result.
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The injury records are insufficient for this research, but it is interesting to wonder if the software assigns injuries at a per-possession rate, which would also disfavor higher paced teams.
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Post by Souper Troopers on Jan 25, 2015 12:31:32 GMT -6
I'll give you a 5 to stop.
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Post by Heebs on Jan 25, 2015 12:38:03 GMT -6
Awesome work.
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IanBoyd
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Post by IanBoyd on Jan 25, 2015 12:53:51 GMT -6
fuck all this spreadsheet mumbo yumbo
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Post by eric on Jan 25, 2015 16:17:19 GMT -6
Thank you all :)
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Post by Lazy Pete on Jan 25, 2015 18:06:55 GMT -6
Those raptors are fast now, like, um, raptors
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