To give you a bit more insight into the performance of our users and software, every month we go through our overall results, as well as taking a deeper look into our performance with each individual sport and leagues.

We are doing this with the help of our back-logged data. This is because the big data tool inside the software has a cap of 10,000 trades to speed up loading time, so for some of our sports it will not show results of every trade placed in June. There are no filters on this data, it is every trade placed no matter what the odds range, time placed, edge, etc.

Limitations

Before we get into how we performed in October, it’s important to note some of the limitations of the data we will show you:

1. For the Flat ROI calculations, stake sizing of €1 per trade is used to remove the effect of users with large bankrolls skewing the results. Also, this way we can see whether our edge is based on beating the market, rather than the Kelly criterion.
2. There is a chance that some of the bets in this data are duplicated as multiple customers could be placing the same bet. But the chances of this happening regularly are low as our user-base is quite geographically-diverse, which means they have to use different bookmakers.
3. Something else that is possible but even more rare is customers logging their own bets manually within our software. Those bets are not recommended by us, but they will still appear in this data, win, lose or void.
4. Some of the sample sizes will be very low, meaning no conclusions should be taken from those data-sets. The bigger the sample size the more accurate the data. Generally, a sample size of under 2,000 trades will include a lot more randomness and needs to be taken with a grain of salt or completely ignored.

Results & Key Findings

In the month of October, 200,379 trades were placed, €25,316,728 was turned over and €11,625,79.57 was profited at an ROI of 4.59%. Here is how each sport performed, broken down into recommended leagues (popular/bigger leagues) and non-recommended leagues (lower/smaller leagues):

\

Soccer

A huge month for Soccer! It’s been a great month for a few sports so it’s a tight call for the best performer but if you take into account the sample sizes, Soccer has done incredibly. The new season has been profitable for both recommended and non recommended leagues every month so far. October is a new high in terms of ROI for both leagues at 5.16% and 4.21%.

Basketball

What a start to the new season! A Noticeably good performance from NBA trades. Results experienced a fair bit of variance and low sample sizes towards the end of the season. It’s good to see both the sample size increasing and the results coming with it. As an NBA trader myself, I have noticed a lot more bets this season. So far the season has played out very differently with teams scoring far less than the previous couple of years. Possibly due to the new foul rules, meaning a lot fewer free throws are being taken. Either way, it can lead to frequent price changes giving traders good opportunities to get a market edge, as seen in the improved 3.22% closing edge.

Ice Hockey

Ice Hockey also had an incredible month. NHL returned with a whopping 11.73% ROI, continuing from where it left off earlier this year. Ice Hockey is also consistently getting bigger sample sizes, probably as more traders get the familiar with it, start to find the ideal preset and become more profitable.

American Football

The NFL returned some below average results compared to the other US based leagues. However it did have much the smaller sample size and still produced a profit at a 1% ROI. Non recommended leagues had a swing to the downside, a small sample size and still retaining a healthy 3.64% closing edge suggests its nothing but a swing.

CS:GO

Once again the ever consistent Esports trades come in with a solid 5.13% ROI. CS:GO is proving to be one the best performers of 2021, providing fairly consistent samples and results and experiencing seemingly little variance. The consistently high closing edge traders are able to get just shows how poor bookies are at pricing up these markets.

--

And that’s all she wrote for my latest Trademate Sports monthly results. Although most of these results come with huge samples, it’s important to take them with a grain of salt. Just because a sport is profitable or unprofitable doesn’t mean that you trade on every single bet that comes through our software. Follow our recommended presets, and run some simulations on our big data tool yourself to figure out the best odds ranges, times to trade, etc.

Start a free week trial(no card details required) of Trademate Sports.