Clube da Aposta Clube da Aposta menu  
What would you like to find?
fundo 1
free bonus kenya betting
Home Β» Predictions Β» Others Β» Grimsby x Notts County Betting tips for March 11 in England League 2
Tuesday, 11 March 2025, 19h45 England League 2
Grimsby Grimsby
PREDICTION No tip
Notts County Notts County
Don't miss this prediction!

Grimsby x Notts County Betting tips for March 11 in England League 2

Our betting tip for Grimsby x Notts County, Tuesday, 11/3/2025
πŸ“… 11/3/2025
19:45
Grimsby Grimsby
2.60
X
3.30
Notts County Notts County
2.62

This is the tip that our machine learning model has selected for Grimsby x Notts County:

πŸ‘Ž Umm…too bad! We did not find any positive expected value bets for Grimsby x Notts County

The main points for the tip for Grimsby x Notts County:

πŸ‘‰ If you had bet $100 on Grimsby in each of its last 5 matches as home, you would have had a loss of $-20.0.
πŸ‘‰ If you had bet $100 on Notts County in each of its last 5 matches as away, you would have had a loss of $-65.0.
πŸ‘‰ In the last 7 matches as the home team, Grimsby scored at least 1 goal(s).
πŸ‘‰ In the last 5 matches as the home team, Grimsby conceded at least 1 goal(s).
πŸ‘‰ In the last 4 matches as the away team, Notts County conceded at least 1 goal(s).

Place your Bet with Bet365 Bonus

Summary

Do you want other suggestions of bookmakers to bet on Grimsby x Notts County?

If you already have an account on Bet365 or want other options of bookmakers, do not worry! This list below was carefully created taking you into consideration. These are the best betting sites analysed by us in 2025. You just have to click, deposit and bet:

Analysis from Grimsby x Notts County for the England League 2 – 11 of March

🏟️ Grimsby X Notts County – England League 2
πŸ“… 11 of March, 2025 – 19:45
πŸ”΅ Grimsby – Winning probability: 40.56% | Fair line: 2.47
βšͺ Tied game – Probability of tied match: 24.49% | Fair line: 4.08
πŸ”΄ Notts County – Winning probability: 34.95% | Fair line: 2.86
βš– Handicap 1×2: 0.0 Grimsby
⚽ Expected goals: 2.50 goals
β›³ Expected corner kicks: 9.00 corner kicks

Even though it may not seem intuitive, a good betting model should not seek to get the result for Grimsby x Notts County right, but instead show us in which events we have a positive expected value opportunity.

And to do so, the algorithm analysed more than 1279005 matches on our football database looking for patterns to find the probabilities of the match ending with a victory for the home team, a tie or even a victory for the away team. Getting down to these values:

Tips for the 1×2 market for Grimsby x Notts County

Should you bet on Grimsby?

πŸ”΅ Grimsby: our artificial intelligence has calculated that the probability of this event happening is around 40.56%, meanwhile the bookies are offering avarage odds of 2.60. That is, when you make 1000 bets of $1 like this one, you:

  • Would hit 410 times – this would give you a profit of $656.00
  • And would lose other 590 times – having a loss of -$590.00 with them.

We are talking about a bet without profit, because after all you would have an expected final loss of πŸ’°-$66.00.

Is it a good idea to bet on draw?

βšͺ draw: the algorithm believes the chances of this event happening are 24.49% and we have noticed that the avarage odds offered by the bookmakers are 3.30. That is, when you make 1000 bets of $1 like this one, you:

  • Would have hit 240 times – having a profit of $552.00;
  • And would lose other 760 times – having a loss of -$760.00 with them.

Mathematically speaking, it is a negative expected value bet, because you would have an expected final loss of πŸ’°-$208.00.

Should you bet on Notts County?

πŸ”΄ Notts County: our artificial intelligence has calculated that the probability of this event happening is around 34.95%, meanwhile the bookies are offering avarage odds of 2.62. That is, when you make 1000 bets of $1 like this one, you:

  • Would hit 350 times – this would give you a profit of $567.00
  • And would have lost other 650 times – with a loss of -$650.00 because of them.

Mathematically speaking, it is a negative expected value bet, because you would have an expected final loss of πŸ’°-$83.00.

Place your Bet with Bet365 Bonus

Handicaps analysis for the match Grimsby x Notts County

Another important market to analyse is the Asian handicaps one, our algorithm is also going to help you with that. If you have no idea what a handicap is, do not worry! We have a complete article about the Asian handicap on sporting betting that will answer all your questions. You can click on it and leave it open on another tab so you can read later.

Moving ahead we can see what the model has in store for these markets here:

βš– Handicap 1×2: 0.0 Grimsby
⚽ Expected goals: 2.50 goals

Tips for the Handicap 1×2 market for Grimsby x Notts County

βš– Handicap 1×2: our model believes that the ideal handicap is 0.0 Grimsby and the available handicap to bet at the moment is 0.0 Grimsby.

Since there is not big differences between the handicap offered by bookies and the one suggested by our algorithm, we can consider that there is no value to bet on the Handicap 1×2 market.

Tips for the Goals Handicap market for Grimsby x Notts County

⚽ Goals Handicap: our model believes that the ideal handicap is 2.50 goals and the available handicap to bet at the moment is 2.50 goals.

Since the handicap offered by bookmakers is the same as the one we got with our model, there is not any value bets on the Goals Handicap market.

Place your Bet with Bet365 Bonus

Written by
Autor
Humberto Alves

Hi there! You can call me Beto! I'm 32 years old, graduated in Business Management and now I'm doing my second degree in Statistics and Data Science, which is really helpful to bring the Machine Learning models applied in sports betting that you see here. Even though I'm in this betting world since 2010, there's still a lot to be learned.

> Check other content created by Humberto Alves
Newsletter
Newsletter

Receba o melhor conteΓΊdo sobre Apostas Esportivas On-line direto na sua caixa de email

There is a problem with this PHP insert: missing both parameters