The ATS Klondike
There are many of us that have been using ATSSTATS for a long time. Each of us bets our own successful systems, on our own, by ourselves. While successful systems are sometimes very hard to find given the extensive amount of information that ATSSTATS supplies, they are extremely profitable as they effectively “beat vegas”. Nowhere else in the world of sports handicapping can this be said aside from our ATSSTATS community. That said, betting a successful system for a sport, for a certain time of season, leaves us all with a lot of time on our hands experimenting with theoretical systems. That’s where the Klondike comes in.
How it works: All ATS members that are willing to participate (completely optional and up to you) will be networking and sharing their successful systems per sport, and per time of season that the system was most successful. In this way, we’ll all always be betting the most optimal tried, tested, and true systems…no matter what sport or time of season.
1st Section: We share systems! What sport and time of season did certain areas of ATSSTATS work best for you? What were the stats of your system? Simply answer that question. That’s it. (Examples posted below.)
2nd Section: Do you have a dozen theories as to where ATS might be strong but only have time to properly test one at a time? Share your ideas here. Propose new theories of where ATSSTATS should be strong that ought be investigated. (Examples posted below.)
Endgame: We will compile a list of areas where ATS is strongest for each sport, per time of season. When we compile enough stats, we’ll post a chart that we can all reference and know exactly which systems are most successful to be looking into, per sport, per time of season.
Here are a few actual examples of systems that have proven successful in past sports and times of seasons:
- Sport: NBA
- Time of Season: Mid-February to Late-March
Documented System: When SOS + STARS are both showing strong indications towards the same team winning, ATSStats was correct 14 – 5.
Documented System: When PVI + STARS are both showing strong indications towards the same team winning, ATSStats was correct 13 – 5.
Documented System: When SOS + PVI are both showing strong indications towards the same team winning, ATSStats was correct 9 – 2.
Documented System: When SOS + FORECAST are both showing strong indications towards the same team winning, ATSStats was correct 7 – 3.
- Sport: NCAAF
- Time of Season: Early November to Playoffs
Documented System: When betting low spreads (-3 or less) that show very strong ML star trends where one team is overwhelming Blue/Green vs the other team with overwhelming Red, across all categories, ATSStats was correct 19 – 11.
- Sport: NBA
- Time of Season: Early November to Late December
Documented System: When betting low spreads (-3 or less) that show very strong ML star trends where one team is overwhelming Blue/Green vs the other team with overwhelming Red, across all categories, ATSStats was correct 30 – 10.
- Sport: NBA
- Time of Season: Early February to Late March
When a team has at least +5 S.O.S. point improvement vs their opponents between their L14G and L7G, ATSStats was correct 69 – 48.
Theoretical System: The Super Stats category in the Matchups section comments on all teams combined. The theory is that if we can find overwhelming Blue/Green vs. Red star stats…in games where the Red stars belong to an overwhelming favorite, particularly in MLB ML and NHL ML, could we make money betting the underdogs ML in these spots?
Theoretical System: When the Smart Stats category in the Matchups section shows a team with at least 4 Green/Blue stars vs. a team that shows no stars or red stars.
There are many more systems worth a look, but this will be a good introductory start to the ATS Klondike and what we’re all about.
How to participate:
- Use this blog to post the system(s) you used, and your documented success, per sport, and per time of season.
- Use this blog to contribute new theoretical areas for the community to discuss and document that you feel are worth testing.
McGrath’s chart from February 3rd, 2015: