Following up the successful 2016 Summer League Campaign, here is our complete report on the 2016-17 Winter League Campaign, based on 18 different top flight leagues.
2016-17 Winter League Profit Curve
We will try to avoid repeating what was said in the summer league article so that it is all new information for you here.
For the sake of completeness, you should still read and digest both reports for a full idea of our strategies and thought processes.
And you will find the current stock of available HDAFU tables via this link.
2016-17 Campaign Report
Measures of Risk
Before beginning to plan any portfolio or placing bets, you will need to review your analyses and rank the systems you have found according to risk exposure based on the values of the upper inflection point odds.
This will allow you to compile a portfolio with a healthy balance of risk, which is essential to the success of any investment plan.
Here is our rough guide:
- Low Risk (Probability 45.00% or more; upper inflection point maximum odds of 2.22)
- Low-medium Risk (Probability 44.99%-35.00%; upper inflection point maximum odds of 2.85)
- Medium Risk (Probability 34.99%-22.50%; upper inflection point maximum odds of 4.44)
- Medium-high Risk (Probability 22.99%-16.00%; upper inflection point maximum odds of 6.25)
- High Risk (Probability 15.99% or less; upper inflection point odds above 6.25)
Discretion is used if a system does not fit these parameters or crosses two or more classifications – In these cases, the harmonic mean odds of all the games in the set is used as the benchmark to guage risk. The Excel formula for a range of odds in cells A1 to A100 would be: =HARMEAN(A1:A100)
Measures of Success
You will also need a definitive framework to be able to judge the final results.
For us, the final results of any league fall into four distinct categories:
- Systems that achieve a six-season-high (i.e. profits larger than any of the previous five seasons). (Over-Achievers).
- Those that make a profit over and above the size of the initial stake (£100 in our case), but fall short of six-season-high results. (Achievers).
- Strategies that break-even or, record a tiny profit or loss up to the size of the initial stake (£100 in our case). (Zero-Sum).
- Leagues that make a loss over and above the size of the initial stake. (Losers).
You can already see that two of these outcomes are favourable, one is neutral, and only one is detrimental.
2016-17 League-by-League Review
Let’s have a brief look at each league to see how our 22 systems fared. (Alphabetically according to the tab codes in the workbook):
1. AUS1 – Austria Bundesliga – Whole Season System
Only eight of 28 bets won, but this was enough to see a profit of £882.00. Hit rate and yield were both below the calculated averages and the resultant profit figure was lower than any of the five previous seasons’ figures.
Result: Achiever
2. BEL1 – Belgium Jupiler League – Whole Season System
Up to, but not including Europa League and Championship Group splits
Both the estimated hit rate (33 out of 97 bets won) and yield figures were surpassed by wide margins, leading to a six-season-high profit figure of £3,108.00.
Result: Over-Achiever
3. CZE1A – Czech Republic 1. Liga – First Half Season System
Up to the 04/12/2016 winter break
Nine out of 22 bets won, and whilst the hit rate and yield both outstripped expectations, the profit figure settled at £1,247.00, the fourth largest in the last six seasons.
Result: Achiever
4. CZE1B – Czech Republic 1. Liga – Second Half Season System
From 18/02/2017 start of the second half of the season
This one suffered its worst result in the last six seasons, but the resultant loss was minimal at -£310.00.
Result: Loser
5. DEN1A – Denmark Superligaen – First Half Season System
This was the only system employed in this league purely because the format of the second half of the 2016-17 season was to change from previous seasons.
Although hit rate and yield were both below estimates, the system still recorded its third highest total for six seasons at £1,238.00.
There were twice as many bets than expected (largely due to the fact that around 40% more games than usual were played in the first half of the season to accommodate the new second half season format).
Result: Achiever
6. ENG1 – England Premier League – Whole Season System
This system suffered the longest losing streak we have ever encountered, almost 14% worse than expected, for a very painful 36 straight losses. (A six-season-low).
However, the situation was mostly recovered by three big winners all carrying odds of over 12.00, for a final loss of just -£32.00.
The last six bets of the season lost, but had only one of these been a winner, this system would have returned a profit. Small margins.
Result: Zero-Sum
7. FRA1 – France Ligue 1 – Whole Season System
Hit rate and yield were both below par, but the league turned in a steady performance for a profit of £1,634.00, ranked fifth largest in the last six seasons.
Result: Achiever
8. FRA2 – France Ligue 2 – Whole Season System
The same story as France Ligue 1, but with a profit of £2,801.00, for its third largest profit figure in six seasons.
This one was unusual for a much higher number of bets than expected. (215 vs. 119 estimate – Profit was at £2,523.00 after 119 bets).
Result: Achiever
9. GER1A – Germany Bundesliga 1 – First Half Season System
Up to 21/12/2016 winter break
Another below par system, but one that still achieved a profit of £1,098.00. (Fourth largest in six seasons).
Result: Achiever
10. GER1B – Germany Bundesliga 1 – Second Half Season System
From 20/01/2017 start of the second half of the season
The very rare inclusion of a system with two non-profitable seasons (the oldest two) in the previous five.
It featured one more bet than expected, which won, to total one more winner than expected. Hit rate and yield both exceeded estimates for a profit of £1,294.00. (Fourth largest in six seasons).
Result: Achiever
11. GRE1 – Greece Super League – Whole Season System
The hit rate here was almost 8% below estimate and resulted in the worst performance for six seasons, and a loss of -£819.00.
Result: Loser
Hi? I’ve purchased the 2011-16 winter league campaign. I want to know how you compute the odds rank* column.
Hi Odoo,
Firstly, Excel can only cope with 200 markers for a graph.
The Inflection Points graph in your spreadsheet is powered by data from the Odds Rank column.
If you sort the data (rows 6:1833) by the odds column L (smallest to largest), you will see that the odds rank numbers in column B then line-up in batches from 1-200.
To assign the 200 groups of numbers it is merely a case of dividing the total number of data sets by 200. In this case, 1,828 matches divided by 200 provides roughly nine matches per batch (rank).
I hope this answers your question and helps you to understand how Excel graphs work.
Thanks for your question and all the best for now!
Dear Soccer widow, is it possible to get systems from HDAFU simulation table using quartiles in the IPHOAO section?
Dear Odoo, you can certainly try but to be honest, I do not know. This particular scenario I have not analysed and, therefore, I cannot say if it works or not. Sorry.
The Inflectionpoint HDAFU tables provide such a plethora of information and different angles that the quartile approach may be well worthwhile to explore.
Have a very Happy Xmas and good luck with your betting!
Dear Soccerwidow, i’ve tried out inflection point graphs for U/O2.5 goals using HO/AO and HO/AO range of (0.095-0.237) gave me results which look good for Germany BL 1 2016-15 season when back tested because all games ended in O2.5 goals. I think may be I made a mistake some how. Can I email you the table I used to check it out?
It seems, Odoo, that I misunderstood your previous question as you placed in an HDAFU Table article but referring to the Cluster Tables. Please ask any further questions re. Cluster Tables in the FAQ article: Frequently Asked Questions – Over Under Cluster Tables
In answer to your question… Do you know this article here? What are Inflection Points and their Use in System Betting It will probably provide you with the answer you’re looking for.
To answer your query shortly: No, it’s pretty unlikely that you made a mistake. Bookmakers adjust odds according to market pressure and expectations. So, if your backtesting shows good results then the future is likely to bring good results too. Just be very careful and adhere to a strict staking plan.