Over and Under Twitter Bets

With the Twitter Bets that we have been able to record prices from using www.football-data.co.uk there have been nearly 900 bets and the loss to the average price is 14.35 points. This does not seem to be very much and we have the feeling that to best prices we should be able to get into profit and as a result we will monitor this for the season.

This is only for the leagues where we can get prices for football-data.co.uk so is the following

Bel Jupiler, Eng Champ, Eng Conf ,Eng Lge 1, Eng Lge 2, Eng Prem, Fra Lig 1, Fra Lig 2,Fra Ligue 2, Ger Bund, Ger Bund 2, Grk Super, Ita Serie A, Ita Serie B, NL Eridvis, Por Super, Sco Champ, Sco Lge 1, Sco Lge 2, Scot Prem, Spa Primera, Spa Segunda, Tur Super

As there will be quite a lot of bets we will update at the end of each month. We started on Saturday as that was the first for this season as teams have now played enough games. Will be interesting to see if this can post a profit or not.

The Simple Weekend (Tweets)

Always nice to get to Friday and it’s a big weekend for football. Bet365 tweeted the big games and it is impressive

On the subject of twitter we send out stats on Twitter highlighting games that pass a certain threshold. We get some nice tweets in return but also sometimes just unhelpful stuff like

All the tweets we send are just advice and for users to check them out further. Sadly we don’t have prices for all the tweets we have sent but there have been 390 tweets for over/under 2.5 bets and we have prices for all of these. We took the average price from football-data.co.uk for these as that seemed a better guide of whether they can be profitable or not. Over the 390 bets the loss has been 3.32 points which really is less than a loss of 1% of the total stakes. Using best prices or just Betfair you’d assume a decent profit could be made.

So really when people day it’s a horrible way to price a market it’s not necessarily the case and worth looking into the results first.

There have been 13/21 winning bets this season for a profit of 0.93pts. If we were to use maximum price then the profit would increase to 1.95pts with each winning bet on average having an 0.08 improvement in profit. There have been 238 winning bets so if they all had an 0.05pt improvement, so less than the average we saw above, then it’s an 11.9pt increase in profit so it seems as if backing these blindly at good prices will produce a profit.

Will get a full list of these bets for next week.

 

 

Tweeted Stats Round Up (April – July 2016)

44 selections over these 4 months and not good results. At the end of the season the over and under bets did not do well. The summary of results is shown below and the full list is on the tweeted bets page.

For a number of leagues such as MLS and Brasileiro we have not had prices previously. From September we will switch from using football-data prices and use the prices collected from the bookmakers displayed on the site. We suspect if we had had these prices since April then the results would look much better. There have been 21 tweeted bets from April to July without prices and 14 of them have been winners.

 

MonthBet TypeWonLostP/LSRCum P/L
Apr-16Over 2.585-3.1862%-3.18
Apr-16Under 2.554-1.2756%-4.45
May-16Over 2.5420.8367%-3.62
May-16Under 2.533-1.9450%-5.56
Jun-16Over 2.5100100%-5.56
Jul-16Over 2.5530%63-5.56
Jul-16Under 2.5010%0-5.56

Tweeted Stats Round Up (Feb and Mar 2016)

The under bets for March took a big whack and now overall the tweeted bets are showing a loss. The full results are here but again these are to average prices and not to best prices. As we get later on in the season there are generally more goals so hopefully the over 2.5 stats can come strong and get back into profit.

Over 2.5 recorded a profit in both months and a high strike rate.

MonthBet TypeWonLostP/LSRCum P/L
Feb-16Over 2.518120.7160%0.71
Feb-16Under 2.51481.2564%1.96
Feb-16Win HT/FT0100%1.96
Mar-16Over 2.51130.7979%2.75
Mar-16Under 2.566-3.2150%-0.46
Mar-16Win HT/FT100%100-0.46

Tweeted Stats Round Up (Jan 2016)

A losing month in January. Under 2.5 goals had the biggest loss which is not normal. Again these results are to average prices and not maximum prices.

 

MonthBet TypeWonLostP/LSRCum P/L
Jan-16BTTS100100%0
Jan-16Over 2.52513-0.8666%-0.86
Jan-16Under 2.5119-2.855%-3.66
Jan-16Win HT/FT22050%-3.66
Jan-16Win to Nil100100%-3.66