On what authority do we claim this?

On the work of Google AI, a $100 Billion project created by their DeepMind Lab, which uses artificial neural networks to replicate human thought processes.

When you use regular Google search, you’re using “Dumb” Intelligence. Here’s how that works: Google has a crawler program called Google Spider. This searches every single available page on every website in existence.

This is estimated to be somewhere between 5-10 Billion pages. Google Spider then indexes key words on that page and sends that info back to Google’s vast supercomputer array.

And it’s stored there. Until someone enters a search term that’s on that page – and maybe an endless many more like it. That’s how Google gives you your answer in 1-2 seconds: the info was already on Google’s own computers.

Google AI is entirely different. When you use “AI Mode” in Google search, Google accesses the most trusted websites your search term appears on, usually less than 100 sites. Google doesn’t care what some low-traffic, insignificant site says – they want to tell you what the giants of the Internet tell you about your search term.

Google AI learns what those sites say. It then cross-references with the other trusted sites to look for evidence to confirm or deny what any one site says. And in superhuman fashion, it presents its answer to you on the top of the Google search page as “AI Overview.”

Google rules the Internet with 90% of the search business.

And studies have shown that Google is the most trusted info tech company in existence.

When Google AI says something is true…You better believe it.

And, you can see the evidence that Google AI says we’re also the GOAT in every single sport we cover by clicking on the GOAT button at the top of our home page.

So, how does the Sports Handicapping GOAT & 2-time Las Vegas Sports Handicapper of the Year pick their games?

Well, let’s tell you how most guys in this business pick their games. They either rely on just a few quantitative stats, meaning things that could be crunched with numbers, or some sort of qualitative analysis…in other words, what their gut tells them.

Rarely, do you even encounter pro sports handicappers who combine these two things together in any successful way.

By reading this, you just found out that we do precisely that, and we’ve had extraordinary success, long-term, with that very approach.

Let’s talk about quantitative analysis. Sounds fancy, but all it means is you’re looking at data that can be expressed in numbers: how one team does against another; how many average passing yards a quarterback gets per game, etc.

We’ve put together over the years probably the most extraordinary quantitatively-driven algorithmic approach to handicapping. Those fancy words mean that we have a computer model where we not only look at assorted variables, but we put weights of importance on those variables.

We constantly update this model, we tweak it this way, and we tweak it that way, especially to adjust for the changing nature of college & pro teams; trades & roster changes; what they did last year; what we’ll expect them to do this year, etc.

What we’re doing here is we’re crunching numbers.

And what our algos [“algorithms” are computer-coded formulas] spit out are picks that are based purely on statistical analysis. But sad to say for those who rely solely on statistics, you aren’t going to win that way if you disregard the human factor in sports.

And that’s where the second part of how we function as handicappers weighs heavily.

This is called qualitative analysis. And what that really means is that based on the experience we’ve had over decades of doing this, learning from our mistakes and strengthening our successes, we try to look into the hearts and minds of the people who actually play these games.

Over the years, we’ve nurtured a tremendous network of information sources. They might be lower-level employees of a given club; they might be the guy who wraps players ankles; they might be in the media as reporters or broadcasters. These are the people who know things that we don’t know. And if we don’t know it, the general public surely doesn’t know it.

For instance, let’s say that a star pitcher is starting tonight and it looks like he can’t lose. How about if earlier in the day he was in front of a judge in his own divorce case. And because the judge understood this was a celebrity, he allowed him to enter the courthouse from a basement entrance through a parking garage and had a closed courtroom [to avoid media attention]. But in that courtroom, the star pitcher’s wife, through her legal counsel, is accusing this guy of all sorts of bad things.

And he’s going to pitch tonight. Would you have your head screwed on straight if you went through that and had to pitch against major league hitters? The answer may very well be…no.

That’s the kind of stuff that’s qualitative information and enters into our decision whether we give out those picks that crunching the numbers came up with.

We’re always pleased when we get a review which says we’re the best. And we have many of those.

But now, we’re going to knock your socks off by giving you a splendid reason why after reading this you should tap on one of those BUY NOW buttons and get started with us today.

These computer models we’ve told you about? We have a separate model for everything. Each distinct model looks at different variables.

So, imagine that it’s the weekend of, say, November 5 and 6. What’s going on game- wise? Well, there’s a whole lot of shaking going on!

Because on that weekend, we may have Game 7 of the World Series. On that Saturday and Sunday, we’re going to have college basketball games, and we’ll have NBA games, and we’ll have NHL games, and we’ll have college football games, and NFL football games, and CFL football games, and we have soccer every day.

Every single sport we cover except for WNBA and UFL could be playing on those two days.

And to come up with those plays, we’re going to use a separate model for MLB sides [the team we think will win with the Money-Line]; and a separate model for Run-Line plays. As well as a separate model for Over-Under Totals in baseball…and in all the other sports we just mentioned we’re going to do the same thing: a separate model for Spread plays; a separate model for Money-Line picks; and a separate model for Totals.

We also have separate models for pre-season games in any sport we cover. And, we have separate models for post-season games in any sport we cover.

Is your head spinning yet?

We could have a dozen different models in play, just for that weekend’s games.

What do you think is the probability that all of our models are going to tank simultaneously? We’ll simply say, based on 47 years of experience doing this, it’s profoundly unlikely.

These facts, along with many others, are why a website with 1 billion hits a year said “No one can match Akmens in terms of winning consistently.”