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[Conservative Prediction] 132 ppg?

Discussion in 'Houston Rockets: Game Action & Roster Moves' started by moonsh0t, Jul 20, 2010.

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  1. emjohn

    emjohn Member

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    132 per game is almost certainly way too much.

    You have to bear in mind that there are only 240 mpg available to be distributed each game, and you're basing things off an unprecedented 14 man rotation.

    Don't let the ESPN Team Stats page fool you - the Team PPG average is not the sum of the players' individual averages. Add them up and you'll get a sum as high as 3 times the actual team ppg.

    Yao - Miller - Hill
    Scola - Patterson - Hayes - Jeffries - Johnson
    Ariza - Battier
    Martin - Budinger - Taylor
    Brooks - Lowry

    Scrub Hayes, Jeffries, Johnson, and Taylor automatically. They don't play unless someone (if not several people) are out, and then their contributions will probably represent drops versus the original person.

    SF - SG - PG minutes will probably look similar to how they did in March/April, with Battier the only guy likely to see a big drop in his role.

    Brooks: 32 mpg
    Lowry: 20 mpg

    Martin: 32 mpg
    Budinger: 15 mpg

    Ariza: 30 mpg
    Battier: 15 mpg

    PF/C minutes are going to be wildly dependent on Yao. I'm going to peg him as 15 mpg for now. Scola's minutes drop, because he isn't covering center half the game. Hill is going to have to really show something to get on the court because of the huge logjam up front.

    Yao: 15 mpg
    Miller: 22 mpg
    Hill: 10 mpg

    Scola: 36 mpg
    Patterson: 12 mpg

    Now you can start making worthwhile production forecasts. Keep in mind that additional shot-takers on the floor will reduce the number of attempts Brooks, Martin, Scola, and Ariza had last year.

    Brooks: 18 ppg
    Lowry: 7 ppg
    Martin: 19 ppg
    Budinger: 8 ppg
    Ariza: 12 ppg
    Battier: 5 ppg
    Scola: 14 ppg
    Patterson: 5 ppg
    Yao: 8 ppg
    Miller: 8 ppg
    Hill: 4 ppg
    ----------------------
    108 ppg (Team total)
    Knock this down a peg because of injuries (Martin missing 15 games or Brooks missing 5 or whatever)
    90% = 97 PPG

    That's 5 lower than last year, but bear in mind that Yao and Miller will slow down the pace and lean us more towards a halfcourt game than before.

    It's also just pure speculation.

    [ex. if you sum Brooks, Lowry, Martin, Chase, Ariza, Battier, Scola, Hill, Hayes, and Andersen from last year you get 114 ppg. Lob off 10% and you have 102.6 vs the true team average of 102.4]
     
    #21 emjohn, Jul 20, 2010
    Last edited: Jul 20, 2010
  2. SuperBeeKay

    SuperBeeKay Member

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    Best post in long time, 5 stars
     
  3. durvasa

    durvasa Member

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    If we only play 5 players each game, and we rotate the players that get in each game, we could probably boost our team PPG to well over 200. The Rockets need to seriously consider this strategy.
     
  4. RocketJoe

    RocketJoe Member

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    You should have come up with a graph to show your reasoning. That would of sealed the deal.
     
  5. LCII

    LCII Member

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    JCDenton's more polite brother?
     
    1 person likes this.
  6. dachuda86

    dachuda86 Member

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    I think you're forgetting about play time factored into this and rosters. Adelman likes playing nine guys per game. Also, not everyone will be playing as much time as they usually do if more men play.
     
  7. OlajuwonFan81

    OlajuwonFan81 Member

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    Funniest response in years.
     
  8. devilsdandruff

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    beyond Terrible (1 star)
     
  9. laserguy183

    laserguy183 Member

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    I believe Isiah thomas created this thread
     
  10. robbie380

    robbie380 ლ(▀̿Ĺ̯▀̿ ̿ლ)
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    lol you people are too serious
     
  11. Stepping Razor

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    ^ This should have been the thread subject.
     
  12. robbie380

    robbie380 ლ(▀̿Ĺ̯▀̿ ̿ლ)
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    All I've been hearing on the radio lately is that we're going to be lucky to even be a playoff team this upcoming season. But really, I don't understand why so many people are writing us off?

    I admit I'm not statistician, but I put together some PPG predictions.. which I feel are actually pretty conservative.

    Brooks - 16 ppg
    Martin - 16 ppg
    Ariza - 13 ppg
    Scola - 15 ppg
    Yao - 14 ppg

    Starting 5 PPG = 74

    Lowry - 8 ppg
    Bud - 10 ppg
    JT - 6 ppg
    Battier - 6 ppg
    Patterson - 6 ppg
    Hill - 6 ppg
    Hayes - 4 ppg
    Miller - 8 ppg
    Jeffries - 4 ppg

    Bench PPG = 58

    Total PPG = 132

    Averaging 132 PPG is unrealistic is it not? I guess my point is that our team seems balanced enough this year to get deep into the playoffs without a "superstar" (Yao Ming?).

    What are your thoughts? Did I give any player more credit than they deserve? I tried to take into consideration the touches Yao would be taking away. I also understand these PPG predictions are very very dumbed down since I'm only looking at one stat.
     
  13. DaDakota

    DaDakota Balance wins
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    Let's go for 140 !!!

    ;)

    DD
     
  14. sbyang

    sbyang Member

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    Love the statistical analysis on clutchfans.
     
  15. moonsh0t

    moonsh0t Member

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    Man how I wish there was an edit option sometimes. Oh well, it's good for the ego to make yourself look like an idiot.
     
    2 people like this.
  16. CXbby

    CXbby Member

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    It takes a big man to let go of ego. All in good fun.
     
    #36 CXbby, Jul 20, 2010
    Last edited: Jul 20, 2010
  17. langal

    langal Member

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    We should make a lot roster moves during the season. The cumulative PPG will go way up.

    If we play 12 different guys each game, our PPG will actually equal our total points for the season!
     
  18. SuperBeeKay

    SuperBeeKay Member

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    lol yao averaging 14 points a game
     
  19. Rashmon

    Rashmon Member

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    I think you have nailed it. Though you did not factor in Yao's reduced minutes early in the season. But as you can see in my graph, by the end of the season we will explode and easily reach the 132 ppg average.

    [​IMG]
     
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  20. topfive

    topfive CF OG

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    Maybe not, but you're miles ahead of JC Denton and his "detailed statistic analysis" threads.
     
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