The post New Betting Sites vs. Established Brands: Which Should You Choose? appeared first on Punter2Pro.
]]>This article will break down the differences, highlighting the pros and cons of new betting sites and established brands to help you decide which type is the best fit for your betting experience.
New UK betting sites bring fresh ideas and exciting innovations to the table. Here’s why they might catch your attention:
New sites often introduce modern, sleek designs and user-friendly interfaces, optimised for seamless navigation and quick access. They’re usually tailored to mobile use and incorporate innovative features like odds boosts, bet builders, social features such as tip recommendations, and a rich array of live statistics.
New betting sites frequently offer lucrative welcome bonuses, free bets, and other perks to attract users. These can sometimes be more generous than those offered by established brands trying to retain customers.
Many new sites use cutting-edge technology, incorporating features like live streaming, personalised bet tracking, and enhanced statistics and graphics. Some even offer cryptocurrency betting and other specialised payment options.
Some new betting sites cater to specific betting markets or sports niches, like eSports, virtual sports, or live betting. This can provide a unique experience for those interested in specialised betting markets.
Established brands have stood the test of time for a reason. Here’s what keeps them on top:
Established brands have a history of reliability, transparency, and safety, which can be especially important for players who prioritise security. They’ve built their reputation over time and are known for adhering to regulations laid out by their regulators.
These brands typically offer ongoing promotions, VIP programs, and loyalty rewards for regular users. For long-term players, loyalty bonuses and free bets may be more valuable than one-off welcome offers.
Well-established sites usually offer robust customer service options, including live chat, email, and phone support. With extensive customer bases, these brands have invested in customer support, ensuring help is readily available.
Major betting brands provide a comprehensive range of sports and betting markets, making them ideal for players who prefer to have a variety of options in one place. This includes less common sports and niche markets.
Comparing new and established betting sites helps highlight their differences. Here’s a breakdown of key factors to consider when choosing:
Factor | New Betting Sites | Established Brands |
---|---|---|
Bonuses & Promotions | Generous welcome offers, free bets | Loyalty rewards, ongoing promotions |
Tech & Innovation | Cutting-edge tech, mobile-friendly features | Upgraded features, but can lag behind in tech |
Trust & Reliability | Still establishing reputation | Proven track record, strong regulatory history |
Customer Support | May have limited or online-only support | Full support including live chat and phone |
Variety & Coverage | May specialize in specific sports or markets | Broad sports coverage and bet types |
User Experience | Modern design and user-centric features | Familiar layout, but can feel outdated |
Payout Speed | Often faster with digital wallets and crypto | Standard payout speeds |
Each type of site comes with its strengths and drawbacks. Here’s a quick overview to guide your decision:
Choosing between new and established betting sites depends on what you value most. New sites are perfect for those seeking generous bonuses, innovative features, and niche markets like eSports. They also offer less-popular payments through digital wallets and/or cryptocurrencies.
However, if security, a wide range of sports markets, and reliable customer service are your priorities, established brands are a safer bet. These sites offer proven stability, comprehensive support, and long-term rewards for regular bettors.
Weighing these factors will help you choose the platform that best suits your needs and betting style.
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]]>The post Tipstrr Review | Automated Proofing Of Sports Tipsters appeared first on Punter2Pro.
]]>The post Tipstrr Review | Automated Proofing Of Sports Tipsters appeared first on Punter2Pro.
]]>The post October 2024 | Top Football Tipsters Of The Month appeared first on Punter2Pro.
]]>All figures assume a standard stake of £20 per football tip at the advised odds.
Rank |
Tipster |
Tips |
ROI |
Profit |
|
1 | Welsh Premier League | 31 | 36.8% | £228 | |
2 | Mix Mogul Football | 60 | 30.7% | £368 | |
3 | Fo.Be.Ti | 213 | 30.2% | £1,288 | |
4 | GamesDraws | 201 | 23.7% | £954 | |
5 | Soccerrafa | 59 | 22.9% | £270 | |
6 | European Insider Trader | 37 | 20.9% | £154 | |
7 | Leahcim | 162 | 19.2% | £622 | |
8 | Kvasir | 56 | 18.4% | £205 | |
9 | SpeculateToAccumulator | 21 | 15.6% | £65 | |
10 | TriBTTS | 120 | 15.1% | £361 | |
11 | EPL Full-time Result | 29 | 15.0% | £86 |
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]]>The post October 2024 | Top Horse Racing Tipsters Of The Month appeared first on Punter2Pro.
]]>The rankings are based on a standard £20 stake for each horse racing bet.
Rank |
Tipster |
Tips |
ROI |
Profit |
|
1 | HorseForaCourse | 58 | 102.6% | £1,190 | |
2 | 365 Tips | 58 | 72.8% | £844 | |
3 | Opal Horses | 114 | 70.5% | £1,607 | |
4 | HorsesLand | 24 | 124.1% | £595 | |
5 | CD Systems Daily Bargain | 31 | 46.8% | £290 | |
6 | Sotnas Horse Racing | 72 | 48.3% | £696 | |
7 | DeltaTips | 27 | 44.9% | £242 | |
8 | BigOddsValue | 112 | 41.9% | £938 | |
9 | The Banker | 57 | 41.6% | £474 | |
10 | Ken’s AllWeather | 32 | 41.0% | £262 |
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]]>The post The Basics Of Football Prediction & Betting Systems appeared first on Punter2Pro.
]]>In this article, I will explore what football betting systems are, their benefits, and the key considerations that should be taken into account when creating one. I will also discuss the importance of probability in football prediction and examine three popular types of football betting systems: grading systems, rule-based systems, and the Poisson distribution.
A football betting system is a strategy or set of rules that guides your football betting decisions. It can help you identify profitable betting opportunities, manage your bankroll, and increase your chances of winning.
There are many types of football betting systems out there, and each one has its strengths and weaknesses. In this article, we’ll take a look at some of the most popular approaches to football betting systems and how they work.
When making a betting system, football or otherwise, bettors should consider the following factors:
Creating a football betting system that satisfies all of the above factors can be challenging, so I invite you to check out the Strategies section of this site for a complete overview of what it takes to succeed as a bettor.
Probability plays a critical role in football prediction because it provides a measure of the likelihood of a particular outcome occurring.
In order to make informed decisions about when to bet, it’s vital to have a good understanding of the probabilities at play. This involves taking into account a wide range of factors, including team form, player availability, head-to-head records, or perhaps even less obvious influences on the game. By analysing this information, bettors can assess the value in the betting markets.
So what is “value”?
A bet is said to have “value” if the odds offered by the bookmaker/betting exchange underestimate the true probability of an outcome occurring. For example, if a bookmaker is offering odds of 5.0 on a particular team to win, but the fair odds for that outcome would be 4.0, then those available odds have value. This is what every football prediction model should seek to find in order to succeed in the long run.
Therefore an important and fundamental skill in football prediction is knowing how to convert bookmaker odds into probabilities and vice versa. The formulas are as follows.
To convert a percentage into decimal odds:
1 / percentage expressed as decimal
For example, an outcome with a 25% chance has decimal odds of: 1 / 0.24 = 4.0
To convert decimal odds into a percentage:
1 / decimal odds
For example, an outcome with decimal odds of 5.0 has an implied probability of: 1 / 5.0 = 0.2 = 20%
The remainder of this article provides an overview of a few basic approaches for any bettors seeking to develop their own football betting system.
A grading system is an excellent starting point for bettors seeking to calculate their own odds to identify potential value in the betting markets. It involves assigning grades or groups to relevant factors, such as team quality or performance, to help make more informed predictions about future events.
In football, a common approach is to group teams within a league based on their level of quality. This usually means assigning a numerical or alphabetical grade to each team, with higher grades indicating better quality. However, it is important to make every effort to avoid bias and ensure accuracy by grouping teams based on statistics rather than relying on personal opinion. One statistical method for identifying “natural groupings” is called k-clustering.
When grading teams based on performance, consider a reasonable time frame that accurately reflects current form. While past performance is a useful indicator, you need to avoid relying too heavily on outdated data as a team’s performance can change rapidly.
When done well, grading teams based on their performance enables the identification of patterns and tendencies among different types of teams that face each other. This approach is often used by both casual and experienced football bettors (whether they realise it or not), as a means of making informed betting decisions.
To begin using graded teams for football prediction, you’ll need to gather past results (try football-data.co.uk). Then you’ll have to assign the teams with a grade in order to produce a forecast for upcoming fixtures.
I recommend using Excel to generate a grid of stats for the results of every grade vs each other. For example, if you have chosen 4 groups in your grading system (let’s say A, B, C & D) then you will have the following 16 fixture ‘types’ to account for.
A vs A | A vs B | A vs C | A vs D |
B vs A | B vs B | B vs C | B vs D |
C vs A | C vs B | C vs C | C vs D |
D vs A | D vs B | D vs C | D vs D |
Within each of the above 16 fixture types there are 3 possible results: Win, Draw or Lose. This means there are 16 x 3 = 48 total outcomes that you need to create statistics for, based on historical performance.
For example, for A vs D (where A is at home) you could determine the following:
Note that the percentages need to add up to 100% for every fixture type.
In this case, your odds would translate to 1.42 (home win), 5.0 (draw), 10.0 (away win). If you believe these odds are accurate, then you would determine that greater odds available at sportsbooks or betting exchanges would represent a value bet.
Once you have established a basic grading system for football predictions, you can add additional factors to further refine and improve its accuracy. By introducing more complexity to the model, you can gain a more comprehensive understanding of the likelihood of different outcomes.
One possible factor to consider is a goals metric, which takes into account the typical winning margins when teams of different grades face each other. By incorporating this information, you can strengthen your predictions and potentially identify opportunities in the goals markets.
Another important factor to consider when developing a football betting strategy is the head-to-head record between specific clubs. This record can reveal patterns and tendencies that go beyond a team’s overall performance or grade. For example, a club may struggle to pick up results at a particular stadium or against a particular team, even if they are performing better overall.
When creating a grading system, it’s important to consider the potential pitfalls that can arise from the data used.
Realistically, using basic grading systems alone may not be sufficient to identify value in highly competitive betting markets — such as the Premier League Match Odds market. While it is possible to break even with a simple approach, a wide range of factors and influences might be needed to achieve long-term profitability. However, mastering the skills required to create odds using this approach can be invaluable when developing and implementing other more advanced betting systems.
Rule-based systems for football prediction involve creating a set of rules or criteria that are used to identify potential outcomes of football matches. These systems are based on the premise that certain factors or conditions are more likely to lead to a particular outcome.
A rule-based system might use factors such as team form, head-to-head record, injuries, and home advantage to predict the winner of a particular match. The system would be programmed with a set of rules that assign weights to each of these factors and then use them to calculate the probability of each team winning.
One of the main advantages of rule-based systems is that they are transparent and easy to understand. The rules used to make predictions can be clearly defined and the system can be tested against historical data to assess its potential profitability.
Rule-based betting systems can be used in conjunction with grading systems — or any other betting system for that matter.
Here are some examples of rules that might be used in a football betting system:
These are just a few examples, but there are countless other rules that can be created based on different factors such as team form, player availability, head-to-head records, home and away form, and more.
The main drawbacks of rule-based systems is that they are rigid and inflexible. They struggle to account for unforeseen circumstances or factors that are not explicitly included in the set of rules. You need to ask yourself: how much “power of hindsight” does my rule-based system actually provide?
When analysing past data, it’s possible to identify a combination of “rules” that could have turned a profit if used for placing bets. However, it’s important not to get excited too quickly, as things aren’t always as they seem. To illustrate this, consider playing the classic Sonic video game…
In theory, there will be a combination of buttons that can be pressed at precisely the right time to get Sonic through a level without being hit by spikes or villains, falling down a hole, or drowning. The string of buttons may be complex and far-fetched, but it’s possible to work it out through repeated playthroughs.
However, this one, very complex, death-dodging combination does not help in completing the rest of the game. It’s useless.
So what am I getting at?
The point is, while it may be tempting to analyse past data to identify patterns or rules that “would have worked had I done that”, it doesn’t always form the basis of a good predictive method. So it’s important to approach rule-based systems with caution.
For example, you may discover incidental patterns in football such as:
Even if these statements are true, it doesn’t necessarily mean you’ve found valuable betting opportunities. The danger lies in overfitting the data, where you’re tailoring your analysis to fit the data too closely, and as a result, your analysis does not apply to future outcomes.
It’s easy to fall into the trap of being overly confident in our own analysis, especially when it seems to show substantial profits. But there are three critical steps you should follow to increase your chances of effectively using ‘rules’ for football prediction:
The Poisson distribution is commonly used in football betting models to estimate the probability of a team scoring a certain number of goals in a particular match, taking into account their average goals per game. By utilising historical data, this distribution can help predict the team’s “goal expectation” for the upcoming match.
For example, if a team has an average of 1.5 goals per game, the Poisson distribution will calculate the probability of them scoring 0, 1, 2, 3, or more goals in a particular match. This information can then be used to determine the most likely outcome of the match and to make informed betting decisions.
Bettors can use Microsoft Excel or comparable program to develop a Poisson Distribution betting model for use in various goal-based betting markets such as Match Odds (1×2), Correct Score, Over/Under Match Goals, Both Teams To Score and Asian Handicap.
Based on my experience working on football prediction projects involving the Poisson Distribution, I have found it to be a more accurate method than using the basic grading and rule-based systems described earlier in this post. This is primarily because the Poisson Distribution avoids generalising by “grouping” or relying on far-fetched trends. Instead, it relies on concise and meaningful data to provide a more accurate estimation of potential outcomes.
Pinnacle has published a useful entry-level article on how to use the Poisson Distribution.?I’ll elaborate on some of the key points.
To begin, you’ll need to gather historical football results in order to calculate the average number of goals scored and conceded by each team, both in home and away games, within a specific timeframe such as one season. These averages are then compared to the league average to determine the attacking and defensive strengths of each team.
To calculate the attacking and defensive strengths, divide the Average Goals For or Average Goals Against by the league average. For instance, if the Average Goals For in the Premier League is 1.45 and Manchester City has an average of 1.97, they are 35% above the league average for attack, indicating their prowess in scoring goals. Here’s how it’s calculated:
1.97 / 1.45 = 1.35 1.35 = 135% 135% - 100% = 35% above average
These metrics, along with the opponent’s corresponding values, are then incorporated into a Poisson Distribution formula. This formula determines the probability of each possible result when two teams face each other. By converting these percentage probabilities into odds, as demonstrated earlier, it becomes possible to identify potentially valuable bets at bookmakers or exchanges.
The optimal number of games to use for calculating goal expectation figures is a subjective matter that requires experimentation. For instance, teams such as Leicester have undergone significant changes over the past decade, making a large window of five seasons less representative of their current form. Conversely, a small window of games (e.g., the past three fixtures) provides limited data to work with.
From my experience, after around ten games into a new season, you have a sufficient amount of current data to work with. However, the smaller the sample, the more likely you are to make poor decisions based on variance.
Expected Goals (xG) is a more sophisticated statistic that quantifies the goal-scoring likelihood of attempts on goal, providing a scientific evaluation of performances. It goes beyond goals, which don not always tell the entire story of a match.
By incorporating xG data into your football betting model, you can produce a more comprehensive analysis of a team’s performance and goal-scoring ability. This will improve the accuracy of your predictions.
While stats-based approaches to betting, like Poisson Distribution, can be effective, they do have their limitations. Firstly, the Poisson only considers measurable results — but there are instances where a team dominates a match but fails to score or loses due to an unexpected goal, such as a late penalty. The final score of a match may not necessarily reflect what occurred during the game.
Another limitation of using Poisson Distribution for football prediction is that it tends to underestimate the probability of draws and the probability of zero. However, this can be rectified using a technique called zero-inflation, which increases the probability of no goals. With this method, the model can account for games where neither team scores and better predict the likelihood of a draw.
While utilising the Poisson Distribution method can generate reasonably accurate football predictions, it’s crucial to recognise that many others are likely using this approach as well. Therefore it is essential to consider the Poisson distribution as a foundation for your model, and to consider incorporating other statistical methods and variables into your analysis. Additionally, always keep in mind that there are variables in football that cannot be predicted or quantified, such as injuries, team morale, and weather conditions.
The world of football prediction is rife with challenges due to the constantly changing nature of the sport. Each season sees teams undergoing significant changes, such as new managers, players, and stadiums, while injuries, player bans, and transfers can all impact team cohesion and strategy. Accurately predicting match outcomes can be a daunting under such circumstances.
Moreover, the media hype and noise surrounding football can further complicate predictions, as public opinion is easily swayed by sensational stories. Meanwhile countless variables such as player form, team morale, and weather conditions can legitimately influence the outcome of a games, making it essential for bettors to separate fact from fiction to make accurate predictions.
While statistical models are a far more reliable method of prediction than “gut feeling” or pure guesswork, they too have limitations in accounting for every variable and situation that can arise. Therefore building a successful betting model can be helped with a deeper understanding of the game, and the ability to quickly respond to breaking news and events.
Ultimately, achieving success in football prediction depends on accurately interpreting all factors that will impact the outcome of a match, and capitalising on value in the markets.
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]]>The post Cold Trading — Betting Without Any Sports Knowledge appeared first on Punter2Pro.
]]>Cold Traders are known to operate in the Horse Racing racing markets where the odds are highly volatile. But unlike the vast majority of other bettors in the market, Cold Traders don’t study the form, jockeys, trainers, pedigree, the going, and so on. Most don’t even watch the events.
This concept can seem alien to some bettors. Yet it’s highly important to recognise that successful betting doesn’t hinge on what you know about a sport — it’s what you know about odds.
Let’s compare Cold Trading to investing.
Many investors buy/sell shares without really understanding a great deal about the company or the business. The reason for trading may be loosely based on trends occurring in the market, some basic analysis, or just a ‘feeling’. Whatever the reason, investors hope for a rise or fall in the price to a point where a profit can be secured.
This is the same approach that Cold Traders take with sports odds. They look to earn regular profits by placing:
It’s not so unusual after all, is it?
Many cold traders operate within the last 30 (or so) minutes leading up to the race, aiming to lock in small profits regardless of the race result. At this time the volatility is high and the markets are liquid; ripe for quick trades.
Cold Traders often do all of their business before the off, and move straight onto the next race with little to no attachment to the race result.
What this graph illustrates is the huge rate of change in the total stake during the lead up to the race; a consequence of many "cold traders" joining the market activity late on.
It’s worth noting that professional traders are almost certainly using some kind of betting tool, or automated bot. It’s a competitive environment — so without technology you’re already at a disadvantage. I recommend using Geeks Toy for speedy bet placement.
The most popular trading techniques involve the following methods/approaches:
However, there’s not exactly a rule book to follow. Traders find their own edge by constantly familiarising themselves with the markets and how they behave.
Cold trading isn’t only associated with activity close to the off. Some traders are more flexible and seek to capitalise on illiquid markets — often represented by wide spreads between the Back/Lay odds.
This is because unformed, illiquid markets have less competition for odds and occasionally give traders an opportunity to Back or Lay at better value than a liquid, efficient market would allow for.
One may argue that being so flexible with time is an impractical approach which requires a high level of input from the bettor. However, Bots can handle multiple bets at one time, monitor unmatched bets and trade out of them when necessary. So it’s certainly possible to work outside of the busy markets.
Wide spreads often occur hours before the race, shown by a relatively large disparity between the Back and Lay odds of a selection.?
In financial markets traders believe that, on average, the midpoint of the spread is an approximation of the fair value — and this theory is also widely accepted by professional sports traders using the betting exchange. Basically: if the spread is big, there’s likely to be a price inaccuracy somewhere.
Because the fair value [on average] lies in-between the spread, then this implies that the prices at either end of the spread have value.?
Therefore Backing at the top, or Laying at the bottom, of the wide spread presents our Cold Trader with an opportunity to trade blindly, betting on value without ever needing to know any specifics about the selection itself. This is just one approach that might be applied to illiquid markets.
Sufficient historical data must be collected and analysed to identify patterns in the betting markets. Building a large sample of bets is crucial for checking any strategy you devise.
In the case of exploring the ‘wide spreads’ theory from the previous section, traders would need to analyse the past performance of similar cases to be certain that an opportunity exists. However, there’s yet another an uncertainty which remains in this type of strategy: will the bets get matched at either end of the spread after you come to place them for real?
The truth is there isn’t any guarantee that there will enough liquidity to fill your orders (the Back or Lay bets placed, that is). Only ‘live’ trading and monitoring can give you a greater understanding of how well your strategy works. You may come to find that some concepts — such as the ‘wide spread’ idea I’ve mentioned — are theoretically sound, but infeasible to capitalise on in practice.
Traders need to find ways to work around issues such as low liquidity. For instance:
Backing just inside the top of the spread offers?a more attractive Lay betting opportunity (with less liability) for another trader to take.?This is what is referred to as "improving the price", and it increases the chances of fully matching a stake.
A Cold Trader aims to recognise that an event has occurred, or is occurring — rather than identify the strengths/weaknesses of the participants in the sport (e.g. which horse performs best in certain weather conditions).
Professional Cold Traders often collect large sets of data from the markets and analyse odds movements with the view to identify triggers, or events, where a trade could be made. Therefore some statistics are of great importance.
Cold Traders put particular emphasis is put on the:
So yes — statistics and various other metrics play a huge part in forming Cold Trading strategies. But choices are based on what’s going on in the market rather than sporting performance.
Whatever approach the Cold Trader takes, one thing is consistent: they do not hold a preconceived idea as to who they believe will win or lose. It’s a much less biased approach to sports betting.
So you wouldn’t ever find these guys with the Racing Post clasped tightly in their hands, shouting frantically at the TV set. In fact, the less they know about the horses the better — because this only increases the chance of forming an opinion, or emotional attachment to an outcome.
Volatility, liquidity, inaccuracies in the market, and movements in the odds are all that interests traders with the ‘cold’ mentality. And this is perhaps a weakness in the approach: being reactive to the market, as opposed to proactive, may leave the Cold Trader liable to act on the back of noise or false alarms rather than identifying value based on other statistical approaches.
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]]>The post Top 10 Tipsters On Twitter | Betting Accounts To Follow In 2024 appeared first on Punter2Pro.
]]>There’s literally thousands of Twitter Tipsters to choose from, each specialising in different sports, markets and betting strategies.
Here’s our list of the top 10 Twitter accounts for sports betting tips.
A leading football tipster, providing pre-game picks and daily infographic profit updates.
This official WhoScored tipster account provides selections that are backed up by the data from the site itself.
A tipster that seeks value bets in the football markets.
Free football tips with coverage on the Premier League, Champions League and other to-flight leagues.
Highly popular account providing football news, previews, and recommended bets.
An unaffiliated genuine bettor who shares his fancies for the day’s horse racing.
A horse racing tipsters that impacts the market. His recommended odds move quickly.
Specialises in cards betting on football.
A football tipster that specialises in analytical approaches.
Australian horse racing news, tips, results, fields and odds.
The following Twitter Tipsters didn’t make the top 10, but might also be of interest to you:
The truth is, it’s unlikely that a Twitter tipster will guide you to a profit.
Twitter is the perfect platform for tipsters and bettors to offer an opinion on sport, to share news updates, brag/celebrate about winnings and soak up losses together. This makes following an account more fun than betting alone. But there are obvious risks in following tipsters on Twitter:
Learn more about Twitter tipsters and their affiliate deals.
While Twitter hosts many tipsters, selecting verified ones from a specialised proofing site is a smarter move.
Verified tipsters are scrutinised based on genuine records and performance metrics, providing bettors with a higher chance of finding experts who offer genuine insights rather than mere guesses.
The following statistics were last updated 25/04/2024.
Rank | Star Rating | Tipster | Proofed By | Established | Sport | Tips | Average Odds | All-time Profit | All-time ROI | (+/-) Units | 3-Month Profit | 3-Month ROI | (+/-) Units | Est. Weekly Tips | Usual Publishing Times | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 4.8 | ChampionsTips | Tipstrr | January 2021 | Horse Racing | 3,574 | 20.23 | £13,146.65 | 18.39% | +1315 | £698.00 | 37.53% | +70 | 21 | 12pm-4pm | |
2 | 4.5 | TCs Punts | Tipstrr | March 2021 | Horse Racing | 2,838 | 7.34 | £6,553.35 | 13.56% | +655 | £1,700.35 | 18.66% | +170 | 17 | 4am-12pm | |
3 | 4.3 | Trytips | Tipstrr | January 2023 | Horse Racing | 2,951 | 3.92 | £3,247.31 | 5.76% | +325 | £1,180.05 | 7.29% | +118 | 44 | 4am-12pm | |
4 | 4.3 | Sprint King | Tipstrr | October 2016 | Horse Racing | 7,411 | 8.43 | £4,046.14 | 4.26% | +405 | £1,363.40 | 25.29% | +136 | 19 | 8am-12pm | |
5 | 4.2 | Main Draws Model - Top Euros | Tipstrr | August 2022 | Football | 464 | 3.76 | £651.60 | 14.00% | +65 | £276.20 | 29.10% | +28 | 5 | 4pm-8pm | |
6 | 4.2 | Horse Racing Value Hunt | Tipstrr | February 2023 | Horse Racing | 1,786 | 15.88 | £4,621.07 | 12.94% | +462 | £263.66 | 9.52% | +26 | 29 | 8am-4pm | |
7 | 4.1 | Simply Value Tips | Tipstrr | June 2023 | Horse Racing | 1,056 | 12.37 | £2,739.12 | 13.42% | +274 | £161.35 | 3.43% | +16 | 23 | 8am-12pm & 8pm-12am | |
8 | 4.0 | The Betting Pro | Tipstrr | July 2023 | Horse Racing | 973 | 9.30 | £2,068.92 | 10.63% | +207 | £689.11 | 13.10% | +69 | 24 | 8am-4pm | |
9 | 4.0 | Horsestips | Tipstrr | December 2021 | Horse Racing | 4,736 | 5.73 | £2,303.41 | 3.23% | +230 | £228.93 | 3.15% | +23 | 38 | 4pm-12am | |
10 | 4.0 | Picksntips Selections | Tipstrr | November 2019 | Horse Racing | 6,220 | 11.35 | £4,118.16 | 3.31% | +412 | -£384.11 | -7.06% | -38 | 27 | 8pm-12am | |
11 | 3.9 | Wintips4u | Tipstrr | August 2021 | Football | 2,316 | 2.65 | £914.70 | 4.00% | +91 | £410.00 | 31.50% | +41 | 16 | 4am-8am | |
12 | 3.9 | Speculate to Accumulator | Tipstrr | July 2021 | Multiples | 1,059 | 11.40 | £1,185.52 | 11.10% | +47 | -£263.34 | -40.50% | -11 | 7 | 4am-12pm & 4pm-8pm | |
13 | 3.8 | BetsMachine | Tipstrr | October 2022 | Football | 411 | 2.28 | £441.90 | 10.80% | +44 | £516.00 | 15.20% | +52 | 5 | 4am-8am | |
14 | 3.7 | Gazza Tips | Tipstrr | September 2022 | Horse Racing | 671 | 6.51 | £659.46 | 5.95% | +66 | £172.59 | 7.64% | +17 | 8 | 8am-12pm | |
15 | 3.7 | Mister B's Hoops | Tipstrr | November 2021 | Basketball | 258 | 1.93 | £214.00 | 8.30% | +21 | £97.60 | 20.30% | +10 | 2 | 4pm-8pm | |
16 | 3.6 | PurpleTipster | Tipstrr | March 2022 | Football | 293 | 1.88 | £189.10 | 6.50% | +19 | £70.20 | 16.70% | +7 | 3 | 8am-12pm | |
17 | 3.6 | Hermes Tips | Tipstrr | February 2022 | Horse Racing | 1,182 | 4.45 | £442.39 | 2.82% | +44 | -£366.42 | -20.24% | -37 | 10 | 12am-4am | |
18 | 3.6 | Parlay.fx | Tipstrr | January 2024 | Multiples | 52 | 3.16 | £92.36 | 17.80% | +9 | £117.03 | 33.40% | +12 | 4 | 8am-12pm & 8pm-12am | |
19 | 3.6 | Ottchen - Tennis | Tipstrr | February 2022 | Tennis | 986 | 2.44 | £417.00 | 4.20% | +42 | £168.40 | 5.10% | +17 | 9 | 8pm-12am | |
20 | 3.5 | Omaha Racing | Tipstrr | May 2018 | Horse Racing | 548 | 6.42 | £954.06 | 8.92% | +95 | -£86.00 | -22.63% | -9 | 2 | 4pm-8pm |
So proceed with caution when following social media tipsters. Above all, treat their tips as a bit of fun and not a means to boost your profits. For premium services, check out my list of the best verified tipsters.
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]]>Things didn’t go well, to say the least. I quickly identified a tactic that many rogue tipster services use to fake their profit records in order to attract new subscribers.
Here’s a complete account of my experience…
My chosen service had to meet a set of requirements. So I jotted down a list of everything that I wanted from my ‘perfect’ Tipping Service:
I’ve since compiled a more complete checklist in my more recent article: How to Avoid Bad Tipsters & Betting Scams. Following this will save you from an array of different betting scams, including dodgy tipsters.
Now, I wouldn’t have parted ways with any money whatsoever if the service didn’t, at the very least, meet all of these requirements. And to my amazement I found something that ticked every box, plus more.
I won’t name the service I chose — but it was established in the mid-noughties:
Even I had to admit that it looked decent. But I wasn’t completely satisfied yet, though.
I researched the company and their services. I couldn’t find too many customer reviews of the service — but the reviews?I did find were all positive. Truthfully I liked that reviews were hard to find, as this gave the impression that members wanted to keep it on the down-low. Furthermore I discovered that its selections were supposedly “proofed” by the Racing Post, which sounded very impressive. Everything so far seemed legitimate.
Now for the all-important part: the concept, value, and the methodology behind the selections. Does it actually work?
I was looking to scrutinise this aspect of the service, but I found myself pleasantly surprised with how transparent everything appeared to be. The company didn’t try to use the strike rate as a smokescreen — a strategy often employed by Tipping Services to trick na?ve bettors into thinking they’re subscribing to a profitable service (truth is, any of us can bet with a good strike rate by simply choosing low odds).
Crucially, I could tell that whoever had written the content for the website fully understood value betting and what it takes to earn?long-term profits from horse racing. The FAQ section explained that their algorithms incorporated historical data and speed ratings in order to calculate what values they deem to be the “target odds” for each of their selections. By betting at these odds, or above them, customers are expected to return excellent profits. This was right up my street.
As I read on it continued to impress me. It had all the right answers to the questions I had in my head, such as:
They explained that 75-80% of their selections contract (lessen) in price by the start of the race. While I was sceptical of this statistic, I reasoned that even if it were 60% it would be fantastic. Backing prices which shorten by the SP will make long-term profits, and I’ve proved this myself in my very thorough Guide To Beating The Closing Line.
They stated that the (highest paying) premium members obtain early access to the selections and therefore first dibs on the odds. Prices are expected to drop off a little by the time the lower-graded members come in. However, it explains that it is still very reasonable to achieve the target odds, regardless. So this was good news, too.
This was the all important question. But they had the answer to that as well. They stated that they have capitalised on their betting system themselves and consequently had all of their betting accounts closed. It’s more profitable for them to sell tips nowadays.
Sure. I could just about buy into that idea.
This service certainly talked the talk. I decided it was worth a go.
I was still sceptical but I maintained some level of hope: could this be a hidden gem that’s ignored because everyone assumes it’s too good to be true?
I just hoped that I would find either:
In the latter case, the odds could be Layed on the betting exchange — the exact opposite of what the service encourages it’s customers to do, ironically.
I?signed up and deposited the £40 subscription fee to gain instant access to the chosen tipster service. My first impression within the first few minutes of viewing the tips was: “the target odds are too low!”.
It was a little concerning to discover that selections with exchange odds of 17.0 would have “target odds” of around 4.0. This would imply that the exchange?was offering abnormally excellent value, but I know it isn’t that simple to find value. Again and again the selections were very easy to back well?above the “target odds” stated.
I could understand that the occasional discrepancy will occur between one’s calculated odds and the industry price — but there was an enormous difference on almost every selection. These markets weren’t lacking liquidity, either — they were well-formed, and likely to be relatively accurate.
I tried to make sense of it. I didn’t place any bets and instead requested past results from the service so that I could load it up in Excel and explore the data myself. The company were actually very helpful and sent over a spreadsheet of 365 days of tips. I began to investigate.
I used an Excel spreadsheet to analyse the data.
I had to make some changes to the data set. There were some rather unusual outliers at odds of 1000/1 which skewed the figures. These had to be disregarded because several of them were apparently winning bets. I was almost certain that those odds weren’t available anywhere to start with. And even if they were then there certainly wouldn’t have been as many winners as the spreadsheet suggested! It looked freaky, so I queried it and the company confirmed that the data defaulted to a value of 1000 whenever there was a “technical issue”.
Ok. Fine. No big deal.
Now that the data looked much cleaner, the next thing I did was produce a graph of the 365 days of betting. Here’s the result.
Backing all 27,130 tips at the “target odds” gave a total ROI of -35.4%.
Wow. I can safely say those target odds were not prices that I would?ever?base?my bets around. As I suspected, the supposedly “smart, powerful and accurate” algorithm that the tipster’s website confidently boasted about was severely under-pricing horses.
My confidence in the service had been knocked, but I hadn’t lost all hope quite yet. Recorded within the same spreadsheet were more values named “best odds”. This was intriguing as perhaps these odds represented values that you could easily achieve on the selections provided. I graphed the result of using those odds instead.
Backing all 27,130 tips at the “best odds” gives a total ROI of +99.6%.
It was in confident profit this time — but I wasn’t excited. To put this bluntly: there’s no such thing as a 99.6% ROI in sports betting.?
Looking at the graph I noticed there some pretty drastic vertical jumps in the total PnL. Check out those huge ones around 1/3 the way across. I needed to reduce the data set to see if I could make more sense of those results.
It looked to me like there were some additional issues with the odds being incorrectly recorded. I appreciated that, occasionally, data collection tools fail; my feeling was that the odds were recorded using the Betfair API, and that it didn’t collect a realistic?average price. This could’ve been due to poor market liquidity, or outsiders with insufficient volume.
The easiest way I could improve the quality of the data was to limit the odds I looked at. I hoped that this would concentrate the selections on the most popular outcomes of the race and reduce the likelihood of incorporating vastly incorrect prices. Plus I probably wouldn’t have bet at odds that were too high anyway. I decided a limit of 20.0 was suitable maximum price to cap the results at.
The data set was reduced to 22,286 bets as a result of the odds constraint. I believe this?helped to rectify the problem, as the results appeared to be more realistic.
Backing all 22,386 tips (up to 20.0) at the “best odds” gave a total ROI of +15.0%.
While I was still sceptical of 15% being achievable, I could (at least) believe that it’s possible.
So I’d established two things at this point:
I asked the tipster service this question over email. I received a quick reply stating that the “best odds” were the highest values available from any time up until the race starts.
This concerned me.
Bettors can’t possibly detect the best odds on the lead up to a sports event. If that were possible, then we would all be very rich from sports betting. Nonetheless, I wanted follow these tips hands-on. Perhaps I was missing something.
That’s the key question I set out to answer. I just needed to know how challenging those “best odds” were to find. I knew that even if I were able to achieve close to the “best odds”, then I would?be confident that?I was onto something pretty special.
To find out once and for all if this service worked, I recorded approximately 500 “mock” bets into a spreadsheet to reach my final verdict.
It didn’t make money.
It appeared to be breaking even. But I decided not to waste any more of my time because I had already reached a conclusion on my findings. Here’s a summary of the results:
To make matters worse I noticed that the members area of the service includes a lot of affiliate links to Bookmakers. Of course it does — because it’ll earn the service a rake-back when their customers inevitably lose money by following their tips!
I wondered?about Laying at those poor “target odds”. Is there a profitable Laying strategy buried among the distorted figures?
Unfortunately the answer was no.?
Hardly any of the selections fell to values as low as the under-valued “target odds” — so there was no opportunity for a profitable Lay betting strategy based around the selections.
Therefore I can conclude that this service was, most definitely, a complete waste of money.
Apart from reinforcing the fact that not all tipsters can be trusted, the lesson to take away is that stats are often misleading.
Just because odds were valuable at some point in time doesn’t mean you we be able to obtain them and make a profit. By publishing ‘peak’ odds, this service tricks customers into thinking their selections are profitable when they certainly aren’t.
I’ve written an entire article about the trustworthiness of tipsters where I’ve listed the dangers/flaws in following their selections, I highly recommend reading it, as well as my list of the?Best Sports Betting Tipster Sites Sites. It might save you a lot of time, inconvenience and money!
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Multiple bets are a popular form of sports betting that allows a bettor to place a single bet on the outcome of two or more separate events. For example, a bettor may place a multiple bet on the winners of a selection of football matches.
To calculate the potential payout of a multiple bet, the odds for each selection are multiplied together, and the resulting number is then multiplied by the size of the initial stake. If all the events are predicted correctly, the bettor will receive the full payout — which will be much higher than a single bet on any one of the selected events. However, if even one event does not go as predicted, the entire bet is lost, resulting in a loss of the initial stake.
Due to the higher level of risk involved, multiple bets require a higher level of skill and research than single bets. This is because a single wrong prediction results in a loss of the entire bet.
There are several types of multiple bets, including doubles, trebles, and accumulators, each allowing bettors to combine multiple selections into a single bet.
A double bet involves placing a single stake on two separate selections, and both must be correct to win the bet. For example, a bettor might place a double bet on two football teams to win their respective matches. If both teams win, the bettor wins the bet. If one or both teams lose or draw, the bettor loses the bet.
For example, suppose you want to place a double bet on two football matches:
If you bet £10 on this double, the potential payout would be:
Total potential payout: £36
A treble bet is similar to a double bet, but involves three selections instead of two. All three selections must be correct to win the bet. For example, a bettor might place a treble bet on three different horse races. If all three horses win their respective races, the bettor wins the bet. If one or more horses lose or do not finish, the bettor loses the bet.
For example, suppose you want to place a treble bet on three horse races:
If you bet £10 on this treble, the potential payout would be:
Total potential payout: £300
An accumulator, also known as a parlay, involves placing a single stake on four or more selections, and all selections must be correct to win the bet. Accumulators offer the potential for high payouts, as the odds of each selection are multiplied together. For example, a bettor might place an accumulator bet on five football teams to win their respective matches. If all five teams win, the bettor wins the bet. If one or more teams lose or draw, the bettor loses the bet.
For example, suppose you want to place an accumulator bet on four basketball games:
If you bet £10 on this accumulator, the potential payout would be:
Total potential payout: £100.98
Learn more about Accumulator bets.
Here are the main pros and cons of multiple bets:
Multiple bets are challenging to win because you must correctly predict the outcome of multiple events.
Here are some simple tips to help improve your chances of success with multiple bets:
In summary, multiple bets offer a unique and exciting form of sports betting, with the potential for high payouts from a small initial wager. However, they also come with significant risks and require a higher level of skill and research than single bets.
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In this market, you place a bet on the outcome of an event by selecting a winner. In Europe this is known as the “Win” market and is presented as decimal odds (e.g. 2.50), while in the US it is shown as a combination of US odds (e.g. Team A +150, Team B +180, Draw +200) and referred to as the “Moneyline” market. The same name applies to other types of Win market such as “Halftime Result”, which is referred to as “Halftime Moneyline” in the United States.
Learn how US Odds work in the Moneyline market.
In this market, you place a bet on which team or player will win a tournament or league. For example, a bettor can place an outright winner bet on the team they believe will win a championship before the tournament begins. In the US, this type of market is referred to a “Future”, as the result will not be determined until a significant amount of time, and events, have passed.
In this market, a theoretical handicap is applied to one of the teams to level the playing field, and you place a bet on the outcome after the handicap is taken into account. In the US, this market is known as the “point spread”, or simply “spread”, and is a highly popular betting format in the region.
Learn about the different types of Handicap bets.
In this market, you place a bet on whether the total number of goals, points, or other relevant statistics in a match will be over or under a certain number. In the US, this is commonly known as a “Totals” market.
This type of bet allows bettors to combine multiple selections into a single bet. Each selection must win for the bet to be successful and the potential payout increases with each additional selection added to the accumulator. Acca bets are popular in many European countries, particularly for soccer matches, and are known in the USA as “Parlay” bets.
This type of betting system pools together all stakes on a particular event and the payout odds are determined by the total amount of bets on each outcome. This means that the odds for each possible outcome are not fixed in advance, but instead, they fluctuate based on the amount of money wagered on each option. The total amount of money wagered is divided among the winners after a deduction is made for taxes and the cost of running the betting operation. In Europe this is known as Tote betting, and “parimutuel betting” in the USA.
Most bookmakers only allow customers from their own region to play. However, it is still useful to be familiar with both the European and US equivalent sports betting markets for the following reasons:
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