Arbusers

Does anyone know of a bookmaker that provides scores for winning, tying, and losing other teams at the same time? If one team scores more than 4 goals, it will be for the other team. Thank you.

Does anyone know of a betting website that provides the following betting options with bold options? Thank you.

Hello Yao Jian,

If I have understood your case correctly, let me introduce you to one of the simplest ways to indirectly participate in this kind of market. No need to look elsewhere for this exact market.

In this particular case mentioned by you, you can use one or different agencies/exchanges, that just offer quotes for different scores. You could build your model by appropriate combinations of different specific offered scores grouped by the major three groups that you pinpointed in this example with arrows, or all five major groups shown in the example.

Let's say, in the beginning, you could input into the Model major three groups that you pinpointed by arrows:
- The major group X₁(Home Others (Away Scores)) @ Θ₁, therefore you could create the array of scores X₁(αβ) where α>4 and β>0.
- The major group X₂(Draw Others) @ Θ₂, therefore you could create the array of scores X₂(αβ) where α>4, β>4 and α=β.
- The major group X₃(Away Others (Home Scores)) @ Θ₃, therefore you could create the array of scores X₃(αβ) where α>0 and β>4.
The next recommended step is to enter the last two major groups non-pinpointed by you:
- The major group X₄(Home Others (Away No Goal)) @ Θ₄, therefore you could create the array of scores X₄(αβ) where α>4 and β=0.
- The major group X₅(Away Others (Home No Goal)) @ Θ₅, therefore you could create the array of scores X₅(αβ) where α=0 and β>4.

You have to calculate the optimal odds Θ for every major group X, i.e. fill in the interval [(X₁ @ Θ₁)...(X₅ @ Θ₅)]. In pursuit of value, compare your estimated optimal odds with those offered by the agencies/exchanges.
For the example mentioned by you in your screenshot above, you can compare whether your estimated optimum of odds Θ₁ is better than the proposed quota of 70, compare Θ₂ with 200, Θ₃ with 125, Θ₄ with 250 and Θ₅ with the proposed 1000. In my opinion, you've been offered some weird nuances of odds here...

Additionally, you should think about how exactly to mitigate the flaws here. For example:
- How exactly to manage the accumulated margin in every array of scores;
- When your optimal +EV Theta odds are much different than the offered odds (i.e. the odds offered by the agencies are extremely against you in terms of margin), is it possible to re-optimize the Model by excluding some low-probability outcomes from the array?
- Recalculating the Risk/Reward Ratio here in this case?
- How exactly should the fine-tuning of this Model and the trigger criteria be determined here?

And plenty of other problems here...