Simulation for Betting on Favourite To Win And Both Teams To Score

Strategy ID: 8

💡 Strategy

This strategy shows what would happen if you bet on two markets at the same time to get higher odds:

1. The favourite (the team with shorter odds) to win at full time.

2. The game to end with either Both Teams to Score - Yes, or Both Teams to Score - No.

You can try out different settings to see how your bets would work on real games without spending any money. It's a quick and risk-free way to check if your strategy can make a profit!

💥 How to request a simulation run?

To request a simulation run, send us an email at: [email protected] with the settings that you want to test (see the Examples section below).

Make sure to send your request in the right format so our system can understand it and our team can handle it quickly. Use the templates in the Examples section and adjust them to run the simulation you want.

Keep in mind this email is only checked by our software. So, only include the details for your simulation request—don’t add extra text or questions, as no one from our team will see them.

If you have questions, email us at [email protected].

After you send your simulation request, we’ll process it and email you a PDF with your results within 24 hours!

🚀 Examples

Here are some examples of simulation requests. To learn more about each setting and the valid options you can use, check out the next section, Request Settings, where everything is explained clearly.

Example 1: Place a bet on the favourite to win and Both Teams To Score - Yes in each match where all the following conditions are met:

• The regular full-time odds for the favourite to win are between 1.8 (4/5) and 2.2 (6/5).

• Looking at the last 6 games (home and away), the favourite should have an average of 1.5 to 4.5 expected goals, and the underdog should have between 1 and 1.5 expected goals.

  For example, in a match between Man City and Tottenham:

  • Man City has 2.5 expected goals.

  • Tottenham has 1.3 expected goals.

  Both fit the ranges, so we would place a bet on Man City to Win and BTTS - Yes for this game.

• Start the simulation from Round 7 (to ensure enough data is available to calculate the average expected goals for both teams.).

• This test uses data from the 22/23 season of the English Premier League.

<league_id>E0</league_id>
<strategy_id>8</strategy_id>
<season>22/23</season>
<selection>favourite_to_win_and_btts_yes</selection>
<min_odds>1.8</min_odds>
<max_odds>2.2</max_odds>
<type_of_games>both</type_of_games>
<start_round>7</start_round>
<end_round>38</end_round>
<last_n>6</last_n>
<last_n_all_games_checked>true</last_n_all_games_checked>
<favourite_min_average_goals>1.5</favourite_min_average_goals>
<favourite_max_average_goals>4.5</favourite_max_average_goals>
<underdog_min_average_goals>1</underdog_min_average_goals>
<underdog_max_average_goals>2</underdog_max_average_goals>

Example 2: Place a bet on the favourite to win and Both Teams To Score - No in each match where all the following conditions are met:

• The regular full-time odds for the favourite to win are between 1.5 (1/2) and 2 (1/1).

• Looking at the last 6 games (home and away), the favourite should have an average of 1 to 1.5 expected goals, and the underdog should have between 0 and 0.5 expected goals.

  For example, in a match between Torino and Genoa:

  • Torino has 1.25 expected goals.

  • Genoa has 0.5 expected goals.

  Both fit the ranges, so we would place a bet on Torino to Win and BTTS - No for this game.

• Start the simulation from Round 7 (to ensure enough data is available to calculate the average expected goals for both teams.).

• This test uses data from the 22/23 season of the Italian Serie A.

<league_id>I1</league_id>
<strategy_id>7</strategy_id>
<season>22/23</season>
<selection>favourite_to_win_and_btts_no</selection>
<min_odds>1.5</min_odds>
<max_odds>2</max_odds>
<type_of_games>both</type_of_games>
<start_round>7</start_round>
<end_round>38</end_round>
<last_n>6</last_n>
<last_n_all_games_checked>true</last_n_all_games_checked>
<favourite_min_average_goals>1</favourite_min_average_goals>
<favourite_max_average_goals>1.5</favourite_max_average_goals>
<underdog_min_average_goals>0</underdog_min_average_goals>
<underdog_max_average_goals>0.5</underdog_max_average_goals>

Example 3: Place a bet on the favourite to win and Both Teams to Score - Yes in each match where all the following conditions are met:

• The regular full-time odds for the favourite to win are between 1.5 (1/2) and 2 (1/1).

• In the last 6 games, we calculate the average expected goals separately for each team based on their location (as last_n_all_games_checked is set to false):

  • For the home team, we only consider their last 6 home games, ignoring their away games.

  • For the away team, we only consider their last 6 away games, ignoring their home games.

  For example, in a match between Man City and Tottenham:

  • Man City has 2.5 expected goals at home.

  • Tottenham has 1.3 expected goals away.

  Both fit the ranges, so we would place a bet on Man City to Win and BTTS - Yes for this game.

• Start the simulation from Round 12 (to ensure enough data is available to calculate the average expected goals for both teams.).

• This test uses data from the 22/23 season of the English Premier League.

<league_id>E0</league_id>
<strategy_id>7</strategy_id>
<season>22/23</season>
<selection>favourite_to_win_and_btts_yes</selection>
<min_odds>1.5</min_odds>
<max_odds>2</max_odds>
<type_of_games>both</type_of_games>
<start_round>12</start_round>
<end_round>38</end_round>
<last_n>6</last_n>
<last_n_all_games_checked>false</last_n_all_games_checked>
<favourite_min_average_goals>1.5</favourite_min_average_goals>
<favourite_max_average_goals>4.5</favourite_max_average_goals>
<underdog_min_average_goals>1</underdog_min_average_goals>
<underdog_max_average_goals>1.5</underdog_max_average_goals>

⭐️ Request Settings

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