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8/13/2019 Short Term Betfair Football Trading Modelling
1/4
Short Term Betfair Football Trading Modelling
www.betpractice.com 1
SHORT TERM BETFAIR FOOTBALL
TRADING MODELLING
By TimeGoal Software
1. General
A well known trading in Betfair Exchange
market is the back/lay arbitrage in Under 2.5
market at the first 10÷15min of a football
game. When the game starts and as there is
no goal, the odd of Under 2.5 market is
reducing as it shows in figure 1. This is the
case for placing a back bet before the game
and then placing a lay bet after 10÷15min of
the game. The question is which the probabilityis, for scoring a goal during the first 10min of a
game. Additionally, which are the best time
intervals during a football game for making a
short term trading?
TimeGoal online software can make such
calculations using previous historical goal data.
The user has the opportunity to select time
intervals of a game, so as to have probabilitiesfor the score status.
Figure 1: Betfair diagram of Odd fluctuation
during a game
It is assumed, that the reader is familiar with
software components and procedures. It is
very important to mention that probabilities are
based only in historical goal data, without any
reference in other game factors (players, red
cards etc) that may affect the result of the
game. Therefore, it is better to use the results
only as reference values, which need further
readjustment according to other factors
(players, red cards etc) as has been
mentioned above.
2. Trading Modeling
A trade modelling is going to be done
between teams PAOK and ARIS from GREEK
Superleague. The analysis will try to find theprobability for the score (0-0) to remain or to
change inside time intervals of 2min during the
first half time of the game.
The results of such a calculation are shown in
table 1. Data sampling of goals was selected
as «Home- Away» from season 2008-2011.
That means, the analysis include all matches
played from PAOK as «Ηome» andrespectively from ARIS as « Away». According
to the results the best Trading has to be done
between 4÷6min, 16÷18min and 25÷27min.
These time spacing’s during the game have
been shown the less probability (below 4%) for
the existing score (0-0) to change. At the other
hand, time intervals between 22÷24min and
34÷36min have been shown high probability
(above 10%) for score (0-0) to change.
Table 2 shows the same calculations
assuming different data sampling of goals
“Home & Away-Home & Away” that means the
analysis include all matches played as «home
& away» from PAOK and ARIS. Time
spacing’s between 4÷6min & 25÷27min shows
again small probability (below 4%) for the
existing score (0-0) to change.
8/13/2019 Short Term Betfair Football Trading Modelling
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Short Term Betfair Football Trading Modelling
www.betpractice.com 2
Table 1 : Trading Probabilities between Time Intervals by TimeGoal, Data Sampling Home-Away
To Remain
(0-0)
To change
(0-0)
1-3 0-0 95,40% 4,60% Home-Away 2008-2011
4-6 0-0 97,59% 2,41% Home-Away 2008-2011
7-9 0-0 93,83% 6,17% Home-Away 2008-2011
10-12 0-0 92,11% 7,89% Home-Away 2008-2011
13-15 0-0 91,43% 8,57% Home-Away 2008-2011
16-18 0-0 96,88% 3,12% Home-Away 2008-2011
19-21 0-0 91,94% 8,06% Home-Away 2008-2011
22-24 0-0 87,72% 12,28% Home-Away 2008-2011
25-27 0-0 96,00% 4,00% Home-Away 2008-2011
28-30 0-0 93,75% 6,25% Home-Away 2008-2011
31-33 0-0 93,33% 6,67% Home-Away 2008-2011
34-36 0-0 88,10% 11,90% Home-Away 2008-2011
37-39 0-0 94,59% 5,41% Home-Away 2008-2011
40-42 0-1 94,29% 5,71% Home-Away 2008-2012
43-45 0-2 90,91% 9,09% Home-Away 2008-2013
TIME
AREA SCORE
Possibility (%)Data
SamplingSeason
Table 2 : Trading Probabilities between Time Intervals by TimeGoal, Data Sampling Home & Away
for Team (1) and Home & Away for Team (2)
To Remain
(0-0)
To change
(0-0)
1-3 0-0 94,25% 5,75% HA-HA 2008-2011
4-6 0-0 96,95% 3,05% HA-HA 2008-2011
7-9 0-0 94,34% 5,66% HA-HA 2008-2011
10-12 0-0 92,00% 8,00% HA-HA 2008-2011
13-15 0-0 92,03% 7,97% HA-HA 2008-2011
16-18 0-0 95,28% 4,72% HA-HA 2008-2011
19-21 0-0 91,74% 8,26% HA-HA 2008-2011
22-24 0-0 90,09% 9,91% HA-HA 2008-2011
25-27 0-0 96,00% 4,00% HA-HA 2008-2011
28-30 0-0 95,83% 4,17% HA-HA 2008-2011
31-33 0-0 93,48% 6,52% HA-HA 2008-2011
34-36 0-0 91,86% 8,14% HA-HA 2008-2011
37-39 0-0 94,94% 5,06% HA-HA 2008-2011
40-42 0-1 94,67% 5,33% HA-HA 2008-2011
43-45 0-2 90,14% 9,86% HA-HA 2008-2011
TIME
AREA SCORE
Possibility (%)Data
SamplingSeason
8/13/2019 Short Term Betfair Football Trading Modelling
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Short Term Betfair Football Trading Modelling
www.betpractice.com 3
According to the results, it seems that the
safest back/lay trading must be placed
between 4÷6min & 25÷27min of the game. The
question is what kind of betting strategies has
to be followed, if there is a goal during these
trading periods (4÷6min & 25÷27min).
TimeGoal software has the possibility to model
such a case.
Making a trading from 2min to 4min the
possibility to have the first goal is 2.41% to
3.05%. When the first goal has been scored,
odd of Under 2.5 increased dramatically. After
a period of time during the game (usually 20-30min), when there is no other goal, odd of
Under 2.5 market reduce at a price similar with
the price offered, before the first goal scored.
A completed trading modeling has to take care
of having a goal scored during the trading
period. So, when a goal scored until 6min,
trading has to be continuing for at least the
next 20min, which means until 26min of the
game. The possibility to have another goal
(more than one) between 6min to 26min
calculated with probability equals to 36.36%,
as it shown in figure 2 and figure 3. Figure 4
shows the same trading modelling for making
a trading from 25min to 27min and then until
47 to reduce your money loss in case of a goal
scored during 25min to 27min.
Figure 2: TimeGoal menu assuming Scenario of 1goal until 6min and search probability until
26min.
Figure 3: Diagram of Betfair Trading Modeling by TimeGoal, Time Interval 4min to 6min.
8/13/2019 Short Term Betfair Football Trading Modelling
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Short Term Betfair Football Trading Modelling
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Figure 4: Diagram of Betfair Trading Modeling by TimeGoal, Time Interval 25min to 27min.