1. #1
    suicidekings
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    The Look Ahead Effect Quantified - NBA

    http://www.statfox.com/statfoxnews/news~articleid~4907.htm

    I was browsing through some online articles and I stumbled on this one from StatFox. Apologies if this topic has been covered in depth in the past (I didn't find anything in my quick search). IMO, it's worth a read.

    Essentially, it discusses the validity of the revenge factor and teams looking ahead to future games, and the effect they have on actual ATS performance. The study was based on 3 years of NBA data from 2005-2008.

    The results, briefly summarized:

    Revenge Games:
    The Myth:
    Teams perform better in games with the opportunity to get revenge on teams that embarrassed them previously in the same season (winning by 15+ points).

    The Trends:
    - ATS Rate for teams in revenge games: 46.6%
    - ATS Rate for teams in revenge games on the road: 44.7%
    - ATS Rate for teams in revenge games on the road when the game right before it was also on the road: 40.3%

    Look Ahead Games:
    The Myth:
    Teams are often assumed to look ahead to upcoming big matchups, leading to lower performance in the game directly before that revenge game (Look Ahead Game).

    The Trends:
    - ATS Rate in Look Ahead Games for teams with winning records: 43.3%
    - ATS Rate in Look Ahead Games for teams with losing records: 48.3%
    - ATS Rate in Look Ahead Games preceding revenge games against divisional rivals: 41.1%
    - ATS Rate in Look Ahead Games preceding revenge games against non-divisional teams from the same conference: 51.9%
    - ATS Rate in Non-Conference games Look Ahead Games: 52.2%
    - ATS Rate in Look Ahead Games vs strong opponents: 44.5%
    - ATS Rate in Look Ahead Games vs weak opponents before a revenge game against a strong opponent: 37.8%
    - ATS Rate in Look Ahead Games on the road before revenge games at home: 35.6%
    - When a strong team faces two weak teams in a row, there is no effect on the ATS Rate, but the Over Rate in the first game rises to 56.9%
    - ATS Rate in games preceding a 3 day break for the team: 42.1%
    - ATS Rate in games preceding a 3 day break for a team when their next game is also at home: 38.1%

    Combining Factors (Limited Sample Sizes):
    - ATS Rate for strong teams against weak non-conference teams, preceding a game against a strong team: 40.4%
    - ATS Rate for strong teams against weak non-conference teams at home, preceding a game against a strong team on the road: 26.3%
    Last edited by suicidekings; 03-29-09 at 11:22 PM.

  2. #2
    suicidekings
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    I've always felt that the notion of revenge games is horribly over-used, and the above findings indicates that the effect is not what people commonly believe. At the same time, the effect of teams looking ahead to big match-ups is shown to be a legitimate trend under certain circumstances.

    I haven't actually put the trends to the test yet, but either way, it's an interesting bit of information.

  3. #3
    Peep
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    Another thing about "revenge games" is that the team got beat by 15 + for a reason. Maybe they just don't matchup well with the team they want revenge against.

  4. #4
    sofos
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    Nice info, Suicide. Do you have sample sizes?

  5. #5
    suicidekings
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    Sample sizes aren't given for all the stats, but for those that are, all but a couple of them are based on at least 125 games spanning the 3 seasons studied.

  6. #6
    suicidekings
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    Peep: I totally agree. However, I still think the data has some value, particularly in showing trends towards poor ATS performance when playing a weak team before a strong one and when a team plays their last game before a few days break.

    i'll start comparing the trends to team-specific data from this season and see if anything pops up as notable.

  7. #7
    pico
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    very nice thread. i always wondered about these myths cuz that is all my gambling buddies talks about.

  8. #8
    Wrecktangle
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    Old news actually, for both NBA and NFL. In the 80s, a number of folks had drilled out the "revenge/look ahead" factors. Actually, almost every "angle play" falls apart when examined.

    Shows the value of maintaining long dbs to check things out.

  9. #9
    Dark Horse
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    The definition of 'revenge' in this case is either unorthodox or ignorant. A loss by 15+ points in the long NBA season means nothing. It would be different if a favorite was upset, and met that dog again within a reasonable amount of time. Example: the Suns were upset last night in Sacramento, and play the Kings again within a week. The Suns were embarrassed, the game is still fresh in their minds. I could see 'revenge' there.

    But you can't really isolate one motivational angle without weighing it against others. A DD favorite, as the Suns will probably be, almost by definition is under-motivated in the NBA.
    Last edited by Dark Horse; 03-30-09 at 09:29 AM.

  10. #10
    joesdql
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    To see how the revenge factor works in 5 point increments use the SDQL:
    P:margin<0,-5,-10,-15,-20,-25,-30,-35,-40,-45
    http://sportsdatabase.com/nba.py/que...t=query_header

    It doesn't look like there is much juice there.

    cheers,

    Joe

  11. #11
    suicidekings
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    Neat website. I like it.

    However it does show a poor SU performance in the revenge games, further taking away from the myth that teams will perform better in the game after losing to a rival.

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