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6 members have voted
The following data is take from the five NBA seasons starting in 2013 to 2017. In 6,567 games played those five years, here are the number of personal fouls called by side:
Side | Total Personal Fouls | Average per Game |
---|---|---|
Road | 135278 | 20.60 |
Home | 130787 | 19.92 |
Total | 266065 | 40.52 |
Maybe just random variance, you might argue. The average number of fouls per side per game is 20.26. Road team exceed that by 0.342 per game.
You should be asking at this point, what is the probability of that?
To help answer that, the following table shows a count of the number of personal fouls per side per game.
Total fouls per side | Number |
---|---|
7 | 2 |
8 | 9 |
9 | 21 |
10 | 51 |
11 | 109 |
12 | 205 |
13 | 267 |
14 | 440 |
15 | 599 |
16 | 838 |
17 | 951 |
18 | 1117 |
19 | 1269 |
20 | 1268 |
21 | 1140 |
22 | 1053 |
23 | 933 |
24 | 788 |
25 | 614 |
26 | 435 |
27 | 327 |
28 | 220 |
29 | 177 |
30 | 101 |
31 | 66 |
32 | 50 |
33 | 27 |
34 | 21 |
35 | 16 |
36 | 6 |
37 | 7 |
38 | 2 |
39 | 1 |
40 | 2 |
41 | 1 |
42 | 1 |
Total | 13134 |
Some math will show the standard deviation of personal fouls per side per game is 4.342.
The variance of the mean is the standard deviation per game divided by the square root of the number in the sample. In this case 4.342/13134^0.5 = 0.0379.
.
As I showed before, the average either side is off from the mean is 0.342 points per game. That is 0.342/0.0379 = 9.025 standard deviations from expectations. The probability of results that skewed if home and road teams were expected to have the same average number of personal fouls is 1 in 11,138,867,028,804,600,000.
With that, I welcome the forum to ask questions or poke holes in my math.
The question for the poll is why do you think is the reason home teams perform better in all major professional sports?
There’s your answer.
To be fair, I do believe there is a bias not only against road teams but also in favor of ‘stars’.
There are plenty of other reasons to suspect for the home advantage, which some thoughtful analysts have dubbed as a "traveling disadvantage."
1. Fatigue from travel.
2. Differences in time zones.
3. Differences between arenas in the background behind the nets that affect shooting accuracy for the visiting team
4. Different diet when traveling.
5. Different night-time leisure activities when on the road (drinking, wenching.)
6. Differences in elevation at selected cities that cause visiting teams to more quickly become tired
7. Psychological effects of a noisy, partisan crowd
I never liked that chapter in the Sportscasting book that advocated this theory of referee bias.
I umpired baseball, including State Finals and Spring Training games. Now, that's not a regular season professional game or playoffs, I admit, but during play, I didn't even pay attention to which team was which. Between inning I knew. During a break in action i knew. But during a play, it had absolutely no influence on my calls.
I'd say there is almost no chance that the refs in basketball want the home team to win for economic reasons.
ZCore13
Also, does it seem possible that an average margin of 0.6 fouls per game would be responsible for the point differential between home and away teams (whatever it is), or for the win/loss discrepancy between home and away teams? My answer would be no, no way, absolutely not.
Quote: SOOPOOThis is an easy one Mike. If one believes that just being home is an advantage, then the home team will be more likely to be ahead near the end of a game. What do teams behind do? INTENTIONALLY foul. So if the reason home teams do better is their fans’ cheering, they will be fouled more than their road counterparts. Often times 3, 4 or even more times in the last two minutes of a game.
There’s your answer.
That's a very good point. I can't of a good argument to refute it.
I think in the MLB and NHL and the NFL the number is very close to 55%.
Ben May is one of them. Home teams are 8-18 in his games behind the plate this year. And you’re down 14 units if you bet the home team in his games
Hard to explain why. Could just be they take subconscious joy in shutting up a home crowd.
Quote: michael99000
Hard to explain why. Could just be they take subconscious joy in shutting up a home crowd.
Not true. Prior to this year home teams were 37-31 when he was behind the plate. You can't just take one year and say an umpire/referee is bias one way or the other.
ZCore13
Quote: michael99000Ben May is one of them. Home teams are 8-18 in his games behind the plate this year. And you’re down 14 units if you bet the home team in his games .
If you call a flip of a coin 26 times, the probability of getting 8 or less right is 3.7759349%. I don't think there is enough data there to make any accusations. I'd suggest looking further back into his career if you want to make that argument.
Totally agree with your conclusion (and it looks like the deeper history cuts against his argument), though to be fair, I think your example should be flipping a slightly biased coin that hits heads [55]% of the time hitting heads 8 or less times of 26. To account for home field advantage.Quote: WizardIf you call a flip of a coin 26 times, the probability of getting 8 or less right is 3.7759349%. I don't think there is enough data there to make any accusations. I'd suggest looking further back into his career if you want to make that argument.
Quote: WizardIf you call a flip of a coin 26 times, the probability of getting 8 or less right is 3.7759349%. I don't think there is enough data there to make any accusations. I'd suggest looking further back into his career if you want to make that argument.
By considering each game as a coin flip for that hypothetical , you’re assuming every game was a -110 moneyline on both sides. It’s possible some of the games the home team was favored
Quote: unJonI think your example should be flipping a slightly biased coin that hits heads [55]% of the time hitting heads 8 or less times of 26. To account for home field advantage.
Good point.
The best place to look is baseball. Can start with umpires calling balls and strikes and comparing it to pitchf/x. I'm surprised that information isn't easy to find. Next place would be to compare things like pitcher velocity by pitch type, that really can't be affected by the umpires in any way. It seems there really is no difference between home and road, which suggests strongly that athletic abilities aren't really affected much by the location of the game (https://www.isportsweb.com/2016/06/29/mlb-analytics-statistical-discrepancies-home-away-games/)
The idea that this is money driven so that the fans can be happy is probably horseshit. The money from ticket sales is so much smaller when compared to TV ratings. But it might be interesting to compare home advantage in non-televised games (where revenue is coming mostly from ticket sales) to games that are on TV. But now everything is broadcast, so that ship may have sailed. The one place I think money might matter is when it comes to extending a playoff series -- especially in the NBA.
The other thing that might matter is travel. This can be supported by showing how home field advantage changes based on how far the road team has to travel. Hawaii always seems to have the biggest home advantage (and the biggest road disadvantage).
Another possibility might be a team being able to build their roster and strategies to best fit their home stadium. The Rockies have the most unique environment, and like Hawaii, always seem to have the biggest home advantage (and biggest road disadvantage). Also, as baseball parks have become more uniform over the 100+ year history, the home field advantage has become less and less. The exception being interleague play where road teams are playing differently than how they built their team.
If anyone has any other theories, feel free to produce your own data, it could be pretty interesting. This is all the stuff I've been able to steal over the years that passed the bullshit test. Rarely helps with betting anymore as it all seems to end up as part of the odds anyway. Until about 10 years ago betting against teams traveling from one coast to the other was usually profitable. In recent years getting points on the home team in the 1q and 1h in the NBA playoffs has been great.
Quote: TomGThe best place to look is baseball. Can start with umpires calling balls and strikes and comparing it to pitchf/x.
Sportscasting puts a big emphasis on this. Somehow they got data showing where every pitch crossed the plate. They showed the borderline pitches were called in favor of the home team much more than the road team.
Quote:The idea that this is money driven so that the fans can be happy is probably horseshit. The money from ticket sales is so much smaller when compared to TV ratings.
Not that I'm challenging that, but I would be interested to see some data.
Quote: WizardQuote:The idea that this is money driven so that the fans can be happy is probably horseshit. The money from ticket sales is so much smaller when compared to TV ratings.
Not that I'm challenging that, but I would be interested to see some data.
https://en.wikipedia.org/wiki/National_Football_League_on_television
https://en.wikipedia.org/wiki/National_Basketball_Association_on_television
$4.4 billion and $2.7 billion per year. So ticket sales and TV revenue are close. (At 17 million NFL tickets per year that would require an average face value of $258 to be equal https://www.statista.com/statistics/193420/regular-season-attendance-in-the-nfl-since-2006/). (Also, the NFL figures is lower than it should be because the NFL Network gets to broadcast games for way below market rate)
Which means there is almost no chance that profits from customers who watch the game in person represent the majority of revenue for the leagues after merchandising, other broadcast rights, and all the other sources are considered.
When I watch the NFL, I've noticed that the refs will call pass interference on the home team even when it's late in the game, so I feel like there's less officiating bias in football.
Quote: TomG$4.4 billion and $2.7 billion per year. So ticket sales and TV revenue are close. ...
Thanks Tom! I hope Paco sees that.