Help with Math for a 3 Game Series in MLB. Im in over my head!

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  • BestBoyMike
    SBR Sharp
    • 02-18-18
    • 265

    #1
    Help with Math for a 3 Game Series in MLB. Im in over my head!
    When i get in over my head, I normally search the internet for answers and try and learn something new. However i cant seem to solve this, so i figured i'd bring it to the big brains here.

    Here is my problem...

    When a team wins Game 1 (in a 3 game series)...
    they win 1 more game (in the series) 48.9% of the time and
    they win 2 more games (sweep) 31.2%

    If you found two teams that both won their 1st game and Parlayed them.
    (taking out all other variables like good team vs bad team ect.)

    What is the Math on my % per scenario?

    Both team A and B win Game 2 (win,win)
    Team A wins and Team B losses Game 2 (win,loss)
    Team A losses and Team B wins Game 2 (loss,win)
    Both Team A and B lose Game 2 (loss,loss)

    Plus do the same 4 outcomes for Game 3 have the same % as Game 2, or do they decrease?

    Thanks in advance for any help!
  • danshan11
    SBR MVP
    • 07-08-17
    • 4101

    #2
    I think you are trying to connect things that have no connection.
    if you get 10 blacks in a row on the roulette table will the next spin be black and the answer is the implied percentage is the same.
    Streaks of any kind are a long time fallacy that people bet wholeheartedly. Any correlation of a streak pattern is noise. Each game is very independent of each other and presents its own unique implied.
    if the closing line is +100 assuming no vig there is a 50% chance and the previous 1 2 or 3 games have no involvement in the probability.
    Basically streaks are noise. Tons of people will argue differently but reality and historical data proves it
    Comment
    • danshan11
      SBR MVP
      • 07-08-17
      • 4101

      #3
      you can play with this query to check it yourself but even if you think you see something it is just deviations not edge



      p:W is previous win, pp:W is previous previous win (2 games back) and ppp:W is 3 games back hope you understand so you can play with it and any perceived edge is just deviation usually and Sportsdatabase adds in a -105 -105 margin for the line and roi
      Comment
      • BestBoyMike
        SBR Sharp
        • 02-18-18
        • 265

        #4
        Originally posted by danshan11
        http://sportsdatabase.com/mlb/query?...+S+D+Q+L+%21++

        p:W is previous win, pp:W is previous previous win (2 games back) and ppp:W is 3 games back hope you understand so you can play with it and any perceived edge is just deviation usually and Sportsdatabase adds in a -105 -105 margin for the line and roi
        Thanks for the link! I'll take a look and play around with it.
        Comment
        • BestBoyMike
          SBR Sharp
          • 02-18-18
          • 265

          #5
          Originally posted by danshan11
          I think you are trying to connect things that have no connection.
          if you get 10 blacks in a row on the roulette table will the next spin be black and the answer is the implied percentage is the same.
          Streaks of any kind are a long time fallacy that people bet wholeheartedly. Any correlation of a streak pattern is noise. Each game is very
          independent of each other and presents its own unique implied.
          if the closing line is +100 assuming no vig there is a 50% chance and the previous 1 2 or 3 games have no involvement in the probability.
          Basically streaks are noise. Tons of people will argue differently but reality and historical data proves it

          Ok, each game is independent of one another but my %...

          When a team wins Game 1 (in a 3 game series)...
          they win 1 more game (in the series) 48.9% of the time and
          they win 2 more games (sweep) 31.2%

          are based on 1,648 Total (3 Game Series)
          Seems like a decent sample size

          All that being said i was just looking for the pure math and %. If i can find a way to bet that, is a whole separate question.
          So my question still hangs out there if someone likes to crunch numbers.
          Thanks
          Comment
          • Waterstpub87
            SBR MVP
            • 09-09-09
            • 4102

            #6
            You won't be able to use this win. Anything that is a very simple angle like this won't work.

            The naive way to solve this, assuming a team is 50/50

            Win 2nd Game .50
            Win 3rd Game .5

            To sweep .5*.5=.25

            But you have to take into account if a team is a favorite, it is more likely to sweep

            Consider if we have a 60/ 40
            Win 2nd: .6
            Win 3rd: .6

            To sweep .6*.6= .36

            So if you consider 60% teams are more likely to win the first game, your sample is going to be biased towards those teams, pushing your sweep number up, making it look like its correlated. But it isn't.
            Comment
            • danshan11
              SBR MVP
              • 07-08-17
              • 4101

              #7
              Originally posted by BestBoyMike
              Ok, each game is independent of one another but my %...

              When a team wins Game 1 (in a 3 game series)...
              they win 1 more game (in the series) 48.9% of the time and
              they win 2 more games (sweep) 31.2%

              are based on 1,648 Total (3 Game Series)
              Seems like a decent sample size

              All that being said i was just looking for the pure math and %. If i can find a way to bet that, is a whole separate question.
              So my question still hangs out there if someone likes to crunch numbers.
              Thanks
              5902-5517 (0.13, 51.7%) avg line: -112.6 / -100.1 on / against: -$12,648 / -$43,989 ROI: -0.9% / -3.2%
              as you can see the win % correlates with the line

              now lets look at this same scenario where the line was -160 or basically the implied was 61%, they win 61% of the time

              147-94 (0.84, 61.0%) avg line: -160.0 / 150.0 on / against: -$340 / -$600 ROI: -0.9% / -2.5%
              Comment
              • danshan11
                SBR MVP
                • 07-08-17
                • 4101

                #8
                here we see the same scenario on a dog as you can see the team wins 45% of the time and that is very close to the line impied of 120 is 45.5%
                153-183 (-0.47, 45.5%) avg line: 120.0 / -130.0 on / against: +$60 / -$1,597 ROI: +0.2% / -3.7%
                Comment
                • danshan11
                  SBR MVP
                  • 07-08-17
                  • 4101

                  #9
                  there is no connection that is creating an edge with a previous game series win and game 2
                  look at wednesday verse tuesday, with this mentality you would only bet it on wednesday's now you got to know that makes no sense

                  1115-967 (0.26, 53.6%) avg line: -114.6 / 102.0 on / against: +$6,455 / -$16,609 ROI: +2.4% / -6.7%
                  1691-1627 (0.04, 51.0%) avg line: -112.9 / 100.3 on / against: -$9,969 / -$7,627 ROI: -2.4% / -1.9%
                  Comment
                  • danshan11
                    SBR MVP
                    • 07-08-17
                    • 4101

                    #10
                    whenever you think a trend showing positive signs think of coin flips
                    if you flip a coin 1000 times (decent sample size right)
                    if you did it 5 times
                    2 times heads wins 550 times
                    2 times heads wins 450 times
                    1 times heads wins 500 times
                    this is a good sample size but deviations make it seem good when it is just noise, DONT BET NOISE!
                    these deviation numbers are just out of my head, the true deviation numbers are more precise but I am trying to just give you the idea of how it works and you would not bet on heads because the last 1000 rolls it won 54% of the time
                    Comment
                    • BestBoyMike
                      SBR Sharp
                      • 02-18-18
                      • 265

                      #11
                      Originally posted by danshan11
                      5902-5517 (0.13, 51.7%) avg line: -112.6 / -100.1 on / against: -$12,648 / -$43,989 ROI: -0.9% / -3.2%
                      as you can see the win % correlates with the line

                      now lets look at this same scenario where the line was -160 or basically the implied was 61%, they win 61% of the time

                      147-94 (0.84, 61.0%) avg line: -160.0 / 150.0 on / against: -$340 / -$600 ROI: -0.9% / -2.5%
                      Danshan11 - Great explanations, Thank you! It all makes scenes, sometimes i just need to see things from a different view point.
                      Dont bet noise is a very simple but powerful concept.
                      Thanks again for the examples!
                      Comment
                      • danshan11
                        SBR MVP
                        • 07-08-17
                        • 4101

                        #12
                        good luck, anytime you need anything let me know, you would be amazed at the number of bettors who believe in weird streaky stuff, unfortunately for Nerfs they learn them and for sharps they eat from the Nerf bets on these.
                        Comment
                        • VeggieDog
                          SBR Hall of Famer
                          • 02-21-09
                          • 7214

                          #13
                          "When a team wins Game 1 (in a 3 game series)...
                          they win 1 more game (in the series) 48.9% of the time and
                          they win 2 more games (sweep) 31.2% "

                          What if you broke it down between Home teams and Road teams? I would guess the Home team has a higher win rate.
                          Comment
                          • danshan11
                            SBR MVP
                            • 07-08-17
                            • 4101

                            #14
                            Originally posted by VeggieDog
                            "When a team wins Game 1 (in a 3 game series)...
                            they win 1 more game (in the series) 48.9% of the time and
                            they win 2 more games (sweep) 31.2% "

                            What if you broke it down between Home teams and Road teams? I would guess the Home team has a higher win rate.
                            Any team home away old ugly would have a win rate based on the game in particular nothing to do with the past games.
                            Comment
                            • BestBoyMike
                              SBR Sharp
                              • 02-18-18
                              • 265

                              #15
                              Originally posted by VeggieDog
                              "When a team wins Game 1 (in a 3 game series)...
                              they win 1 more game (in the series) 48.9% of the time and
                              they win 2 more games (sweep) 31.2% "

                              What if you broke it down between Home teams and Road teams? I would guess the Home team has a higher win rate.
                              Those stats are for home teams, i have the stats for away teams also. Not as much difference as you would think.
                              However as my new friend Danshan11 has pointed out, there is no connection that is creating an edge. Sorry
                              Comment
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