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Today's Home No Lose Predictions

These are home team no lose predictions, meaning we predict the home team should not lose their game, based on their home form and their probability of not losing games. 

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Team Name Date H/NL Odds
Holstein Kiel Holstein Kiel
Kaiserslautern Kaiserslautern
27 Apr
12:00
62%
Eintracht Braunschweig Eintracht Braunschweig
Hamburger SV Hamburger SV
27 Apr
12:00
58%
Paderborn Paderborn
Elversberg Elversberg
27 Apr
12:00
43%
Derby County Derby County
Carlisle United Carlisle United
27 Apr
12:30
72%
Lincoln City Lincoln City
Portsmouth Portsmouth
27 Apr
12:30
68%
Wycombe Wanderers Wycombe Wanderers
Charlton Athletic Charlton Athletic
27 Apr
12:30
67%
Exeter City Exeter City
Oxford United Oxford United
27 Apr
12:30
63%
Wigan Athletic Wigan Athletic
Bristol Rovers Bristol Rovers
27 Apr
12:30
63%
Reading Reading
Blackpool Blackpool
27 Apr
12:30
62%
Barnsley Barnsley
Northampton Town Northampton Town
27 Apr
12:30
60%
West Ham United West Ham United
Liverpool Liverpool
27 Apr
12:30
58%
Peterborough United Peterborough United
Bolton Wanderers Bolton Wanderers
27 Apr
12:30
52%
Fleetwood Town Fleetwood Town
Burton Albion Burton Albion
27 Apr
12:30
52%
Stevenage Stevenage
Cheltenham Town Cheltenham Town
27 Apr
12:30
52%
Port Vale Port Vale
Cambridge United Cambridge United
27 Apr
12:30
52%
Shrewsbury Town Shrewsbury Town
Leyton Orient Leyton Orient
27 Apr
12:30
35%
Shanghai Port Shanghai Port
Shanghai Shenhua Shanghai Shenhua
27 Apr
12:35
58%
Parma Parma
Lecco Lecco
27 Apr
13:00
77%
Brescia Brescia
Spezia Spezia
27 Apr
13:00
73%
Ternana Ternana
Ascoli Ascoli
27 Apr
13:00
67%
Showing 1 to 20 of 556 Results


Today's Home No Lose Tips

Today's top tips are a selection of games that we think are quite favorable. These are based on probability predictions with a range that we determine to be the most favorable in this market. They are calculated using our predictions algorithm, they're not sure Home No Lose tips that have been researched, so are to be used in support of your own betting research.

Team Name League Kick Off H/NL
Paris Saint Germain Paris Saint Germain
Le Havre Le Havre
Ligue 1 (FRA) 20:00 82%
Burgos Burgos
Amorebieta Amorebieta
La Liga 2 (ESP) 15:15 78%
Norwich City Norwich City
Swansea City Swansea City
Championship (ENG) 15:00 78%
Fenerbahce Fenerbahce
Besiktas Besiktas
Super Lig (TUR) 17:00 77%
Parma Parma
Lecco Lecco
Serie B (ITA) 13:00 77%
Leganes Leganes
Real Zaragoza Real Zaragoza
La Liga 2 (ESP) 15:15 75%
Hajduk Split Hajduk Split
Rudes Rudes
HNL 1 (CRO) 18:10 75%
Gillingham Gillingham
Doncaster Rovers Doncaster Rovers
League Two (ENG) 15:00 75%
Botev Plovdiv Botev Plovdiv
Slavia Sofia Slavia Sofia
Parva Liga (BUL) 17:00 73%
Brescia Brescia
Spezia Spezia
Serie B (ITA) 13:00 73%

About Home No Lose Predictions

This is not a no lose betting strategy where you are guaranteed to win like matched betting and arbitrage. These are teams that statistically lose fewer home games than their rivals meaning they either draw or win the majority of their games. 

When you couple that with teams that lose the vast majority of their games, you get fixtures that are balanced in favour of the no lose teams. This knowledge gives you an advantage over the standard 3 result betting markets, because you know the favoured team has a strong no lose probability 

How To Use No Lose Predictions

Some betting sites offer a no lose market, but the majority will label this as double chance bets. Even though it's one bet, so a single, the bet allows for the double chance outcome by winning if your selection either wins or draws.  

The odds on no lose scenarios are going to be very very short, so while the statistics offer more insight into the probability of the outcome, the value return is high risk because the reward can be quite low.

Probability models used to predict soccer games.

We have a collection of different prediction feeds that use different models that we combine with our own statistics and match profiling. They all in some respects use a selection of typical probability models like:

  1. Poisson distribution: This model is used to predict the number of goals that each team will score in a league game, based on their scoring records over a set period of time. We're calculating the predicted outcome based on previous scores and what the expected future outcomes are likely to be.
  2. Elo rating system: This model is based on a team's expected success and is somewhat like scoring them based on the current league position or their world ranking, versus that of their opponents. It's more commonly used to predict the full-time result of a game and tournaments and is often used where we predict win and lose outcomes.
  3. Expected goals (xG): The quality of a team's scoring opportunities has become popular with fans and teams to calculate the likelihood of a team scoring based on attacking phases of play that typically end up in shooting opportunities. Its the measure of the probability of a shot resulting in a goal and is used in predictions to calculate final scores
  4. Machine learning algorithms: AI obviously gets fed historical data to identify patterns and trends that can be used to predict the outcome of future matches, like using head to head data of specific teams, consistent league performances and so on. AI is naturally used in some of our models, but it will never account for the unpredictability of certain events occurring in games.

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