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    All Forums | NBA Betting Forum

    VGA - Model Game Analysis - LAC @ DET Feb 2

    VideoGamerAlby
    becito13
    tchamps
    Participants:
    Search model icon
    Views: 496
    Posts: 4
     
    VideoGamerAlby
    VideoGamerAlby
    Prospect
    Participation Meter
    Joined: Dec, 2015
    Posts: 161
    Posted: Feb. 2, 2019 - 3:09 PM ET #1

    The model predicts: L.A. Clippers Win by 6-14 Point Margin

    Overall Margin 7.8

    Conference: 105-97
    Total: 102-94

    This is quite evident looking through Detroits entire games this season.
    Detroit have not won 2 games in a series with the same team, except for Cleveland and Chicago which resulted in = ( Game1-W, Game2-W )
    They've either lost the first or second meeting or Lost both meetings altogether regardless of being Home or Away Vs every other team in the NBA
    as of today.

    Detroit beat the Clippers on Jan/11 109-104, a 5 point margin which ranks it a low percentage amongts other win% vs teams they've lost on the 2nd meeting. In terms of Injuries, I looked at the box score for that game and Gallanari did score 21 points their last meeting but was also a -9. Which essentially correlates well with him being absent this game and his team winning.
    Detroit has yet to find winning consistency since December last year starting with their win over GSW. They haven't won 2 games in a row since, apart from a Series 3rd game with ORL: WLW which followed with beating MIA on their Series 2nd game : LW

    WLW + LW = WW
    Such a simple yet stupid equation is telling me Detroit regresses to the other teams performance not their own performance.
    Detroit plays teams at their level the first meeting, If that teams perfomance increases since their last game Detroit will lose. The concept the model is giving me is. If a team is mediocre-good, and lost to DET the first meeting they'll beat them the next meeting depending on their Stats. So most teams revenge detroit by an average win margin of 4.5 points. Or vice verse, Detroit revenges 4.5; Above average teams will win by 10 or more points.

    In some instances the model put out some 5.7-5.9 Margins, even a 4.9 Margin, but the reason I like the 7.8 Margin is because the Clippers are a "good" team, and as the model gets closer towards the game the PF% For Detroit gets lower and Clippers increases Which i can see as regression for Clippers in their usual 120 PF% Range. Even though i saw a 4.5 Margin it doesn't justify itself because Detroits score differential is -4 and gets lower and Clippers is 2 and goes higher. Teams are scoring more on Detroit and Clippers are Scoring more for themselves since their last meeting.

     

     

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    The model predicts: L.A. Clippers Win by 6-14 Point Margin

    Overall Margin 7.8

    Conference: 105-97
    Total: 102-94

    This is quite evident looking through Detroits entire games this season.
    Detroit have not won 2 games in a series with the same team, except for Cleveland and Chicago which resulted in = ( Game1-W, Game2-W )
    They've either lost the first or second meeting or Lost both meetings altogether regardless of being Home or Away Vs every other team in the NBA
    as of today.

    Detroit beat the Clippers on Jan/11 109-104, a 5 point margin which ranks it a low percentage amongts other win% vs teams they've lost on the 2nd meeting. In terms of Injuries, I looked at the box score for that game and Gallanari did score 21 points their last meeting but was also a -9. Which essentially correlates well with him being absent this game and his team winning.
    Detroit has yet to find winning consistency since December last year starting with their win over GSW. They haven't won 2 games in a row since, apart from a Series 3rd game with ORL: WLW which followed with beating MIA on their Series 2nd game : LW

    WLW + LW = WW
    Such a simple yet stupid equation is telling me Detroit regresses to the other teams performance not their own performance.
    Detroit plays teams at their level the first meeting, If that teams perfomance increases since their last game Detroit will lose. The concept the model is giving me is. If a team is mediocre-good, and lost to DET the first meeting they'll beat them the next meeting depending on their Stats. So most teams revenge detroit by an average win margin of 4.5 points. Or vice verse, Detroit revenges 4.5; Above average teams will win by 10 or more points.

    In some instances the model put out some 5.7-5.9 Margins, even a 4.9 Margin, but the reason I like the 7.8 Margin is because the Clippers are a "good" team, and as the model gets closer towards the game the PF% For Detroit gets lower and Clippers increases Which i can see as regression for Clippers in their usual 120 PF% Range. Even though i saw a 4.5 Margin it doesn't justify itself because Detroits score differential is -4 and gets lower and Clippers is 2 and goes higher. Teams are scoring more on Detroit and Clippers are Scoring more for themselves since their last meeting.

     

     

     
    VideoGamerAlby
    VideoGamerAlby
    Prospect
    Participation Meter
    Joined: Dec, 2015
    Posts: 161
    Posted: Feb. 2, 2019 - 7:54 PM ET #2

    Marginal hit. I didn't like the course of the game though but I knew clippers would win because a model models out the whole game in it's entirety not in quarters. I'm glad if this helped anyone.

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    Marginal hit. I didn't like the course of the game though but I knew clippers would win because a model models out the whole game in it's entirety not in quarters. I'm glad if this helped anyone.

     
    becito13
    becito13
    Prospect
    Participation Meter
    Joined: Nov, 2006
    Posts: 96
    Posted: Feb. 2, 2019 - 8:17 PM ET #3

    Another winner an_cheers

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    Another winner an_cheers

     
     
    tchamps
    tchamps
    Rookie
    Participation Meter
    Joined: Sep, 2018
    Posts: 656
    Posted: Feb. 2, 2019 - 8:18 PM ET #4

    Bro you are one of the best.  It is amazing what your model keeps spitting out.  

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    Bro you are one of the best.  It is amazing what your model keeps spitting out.  

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