0:02 I analyzed 500 games with this free app.
0:05 It predicted 64% of the exact scores
0:07 correctly. Here are the three matches
0:09 for this weekend. I did many analyses on
0:11 days with Real Madrid games. I entered
0:13 the app and I looked at how the app
0:16 predicted the exact story. I scrolled
0:18 down here. You can see the app predicted
0:20 [music] the exact score of 2 to one.
0:22 After the games finished, I saw the
0:24 final score was exactly what the app
0:27 predicted. I said this is not possible.
0:29 I will try the Morca game. I went to see
0:32 the website's predictions. The site
0:33 predicted [music] a 1:1 score for this
0:36 game. I said, "This is not possible. How
0:38 did they do it?" I took the Arsenal
0:40 games from the same day. I checked and
0:42 the app predicted a one zero final
0:44 score. And guess what? The game ended
0:47 with that exact score. I said, "Wait, I
0:50 will try again." So the next day, I
0:51 analyzed another game because I was
0:54 taking the big matches. Here I found the
0:56 Atéico game. The final score was 2 to
0:58 zero. I went to see the app's
1:01 predictions. Guess what? The app
1:04 predicted final scores of 1:1, 0 to 1,
1:07 and 1:2. And guess what? The final score
1:09 was 2 nilo. So this time it lost. It's
1:12 not a problem. So from that day, I
1:14 noticed something. The site can predict
1:18 games that end with scores of 0 0 1 0 2
1:23 1 2 0 3 0. But for scores beyond that,
1:24 the site is not very strong at
1:26 predicting. I decided to find a way
1:28 around this. Instead of betting on the
1:31 exact score, I decided to bet on the
1:34 total goals. So today I decided to bet.
1:36 I will try to bet on this Napoli match.
1:38 I clicked on it and [music] I scrolled
1:40 to the right. I looked for analysis.
1:42 Once here, make sure to look at the
1:44 probability of the winning team. It must
1:48 be over 50%, for [music] example. 55% is
1:50 already good. What does the site give us
1:52 for exact score predictions? You must
1:54 look at the exact score with the biggest
1:56 percentage. Here [music] the score with
1:58 the highest percentage is 1 one with
2:01 11.4%. The next one is the exact score
2:03 of 0 to 1. Then [music] the next one is
2:06 0 to2 then 1 to two. You need to find a
2:09 minimum of four exact scores. [music]
2:11 Smart people will break this down. They
2:13 will look for strategies to win more
2:15 money. Okay. Once we find these exact
2:18 scores, I will go to one X bet. I will
2:21 take the total goals over 1.5 or the
2:24 total goals under 3.5.
2:26 I took the Milan game. I will go to the
2:28 analysis. Once here, the first thing to
2:30 look at is the probability of the
2:32 winning team. Here it does not meet our
2:34 criteria. So I will look for another
2:37 match. For example, this Valencia match.
2:39 Once here we see the probability of the
2:43 winning team is 70%. This is very high.
2:45 Now we will look at the scores proposed
2:47 by this app. Here we see the first score
2:49 is 0 to2. [music] The next is 0 to 1
2:52 with a percentage of 15.3. The next is
2:55 13% with a score of 0 to3. So I will go
2:58 to the 1x bet app. I will look for the
2:59 match and I will take [music] a total
3:02 goals over 1.5. But the odds are not
3:04 very high. So I will scroll down and I
3:07 will take from 6 to 5. Okay. And here
3:09 are the matches I talked about. So I
3:11 will pause and we will meet again a
3:12 little later.
3:14 Okay. After the results, here is what
3:17 happened. You can see there are some
3:19 reds, but the winners are huge. We will
3:21 start here. You can see I lost this
3:23 first match. But if I had taken a total
3:27 over 0.5, I would have won. Well, no
3:29 problem. We will take this match. This
3:31 match was one. Here we lost. Here we
3:33 won. Here we also won up to odds of
3:36 three. And here also odds of four. Here
3:38 we lost. You see that was a bit like
3:40 this. Now I will show you many matches
3:42 and you will see the power, the strength
3:45 of this app. You know I have been
3:47 interested in sports statistics for 1
3:49 year now. I have downloaded dozens of
3:52 apps, tested methods and lost money too.
3:54 Let's be honest and I learned one
3:56 important thing. There is no magic
3:59 formula to predict sports results 100%.
4:02 But there are tools that if used smartly
4:03 can give you [music] a statistical
4:06 advantage. And today I will talk to you
4:08 about a free app that you probably know
4:10 but maybe you do not use correctly.
4:12 Before we start, an important warning.
4:14 This video is not an encouragement to
4:17 bet on sports. Betting carries real
4:19 financial risks. If you choose to bet,
4:22 do it responsibly with money you can
4:24 afford to lose. This video is mainly
4:26 educational for those interested in
4:28 sports statistics. [music] Now that this
4:29 is said, let me tell you how I
4:31 discovered this method. A few weeks ago,
4:33 I was watching the match Real versus
4:36 Juventus. As usual, I had opened bis
4:38 soccer to follow the live stats. Real
4:40 was the clear favorite and I was almost
4:43 sure they would win 2-0 or 3-1. The
4:46 match ends 1 z for Real Madrid. Nothing
4:49 special, you might say. But then, out of
4:51 curiosity, I click on the analysis tab
4:53 of [music] the app, a tab I had always
4:56 ignored until now. And there I found
4:58 something interesting. Before the match,
5:00 the app had analyzed all the data and
5:02 gave a percentage for each possible
5:06 score. The score 1 0 and the score 200.
5:07 They had the highest percentage, [music] 14.3%.
5:09 14.3%.
5:12 I said to myself, okay, coincidence. So,
5:14 I checked another match on the same day.
5:17 Galatasurai versus FK Bodo. Final score
5:20 [music] 3:1 for Galatasurai. I look at
5:23 the predictions and guess what? The
5:27 scores 1 0 2 1 2 0 and 3 1 had the
5:31 highest percentages from 9% to 6.4%.
5:33 At that moment, I felt I was on to
5:35 something, but I am a methodical person.
5:36 I did not [music] want to get too
5:39 excited. So, I did what any analyst
5:41 would do. I checked the last 50 matches
5:44 of major competitions. The results I
5:46 will show you in a few moments, but
5:48 spoiler alert, the statistics are
5:50 impressive. To maximize your chances,
5:53 create an authentic and verified account
5:56 using the promo code BOS32.
5:59 This code gives you up to 300% bonus on
6:02 registration and up to 10% cash back on
6:05 losses in the last 30 days. Log out of
6:06 your old account and create a new
6:09 account with the code BOS32.
6:10 This is important. [music]
6:12 Do not change a winning team. Okay,
6:15 let's continue. Before I show you the
6:17 concrete proof, [music] let me explain
6:19 the method I discovered. It is simple
6:20 but you need to understand the logic
6:23 behind it. Step one, choose the right
6:26 type of match. Not all matches are equal
6:28 for this analysis. Here is my golden
6:31 rule. Matches to focus on a clear
6:33 favorite. Obvious level difference.
6:35 National League competitions or Europa
6:37 League matches where a team plays at
6:39 home with a good history. Matches to
6:42 avoid derbies and rivalry matches. Two
6:44 emotionally unpredictable matches like
6:47 Real Madrid versus Barcelona. Two teams
6:50 of equal level. Cup finals. Too much
6:52 pressure. Close results. Matches with
6:55 teams in a results crisis. Step two.
6:58 Identify the favorite. No need to be an
7:00 expert. B. Soccer already gives you this
7:02 information via the win percentage.
7:05 Usually above 3540%.
7:08 Bookmaker odds. Recent form statistics.
7:11 Step three. The key. Analyze the exact
7:13 score percentages. Here is where it gets
7:15 interesting. In the analysis tab, scroll
7:18 to the exact score section. Focus only
7:21 on the favorite scores. Identify the
7:23 score with the highest percentage. Check
7:25 that there is a significant gap with
7:27 other scores, at least 1 to 2%
7:30 difference. Why does it work? B Soccer
7:32 uses algorithms that analyze the last 20
7:34 matches of both teams, historical
7:36 head-to-head records, current [music]
7:39 form, injuries, suspensions, offensive
7:41 and defensive statistics, context, [music]
7:41 [music]
7:44 home away, importance of the match. The
7:46 app does not predict the future. It
7:48 calculates probabilities based on real data.
7:49 data.
7:52 Concrete proof
7:54 examples. Now, let me show you concrete
7:56 examples that I have checked. [music] I
7:58 will show you five but know that I have
8:02 analyzed more than 50. Example one,
8:05 Sunderland 1-1 versus Everton. Last
8:07 weekend match, Everton was clearly the
8:11 favorite away. Win probability 47%. And
8:13 if we look at the exact scores, we see
8:16 that 0 to 1 has the highest percentage.
8:18 There is also 1:1, the next highest
8:21 percentage. There is also 0 to 2 and
8:24 1:2. Actual result 1:1 for Everton. Do
8:26 you see how the site works? It is amazing.
8:28 amazing.
8:32 Example two, real ovo 000 versus Osuna
8:37 Oedo. Win probability 48.6%.
8:39 I told you that the win probability of a
8:42 team should be above 50%. And if we look
8:44 at the exact scores, we see that 1:1 has
8:47 the highest percentage. There is also 0
8:50 to 1, the next highest percentage. There
8:54 is also 1:2 and 0 to 2 and then 0 0.
8:58 Actual result 000. Example three,
9:01 Sasuolo 1:2 versus Genoa. Interesting
9:03 match. If we look at the exact scores,
9:05 we see that 1:2 has the highest
9:09 percentage. There is also 1:1, the next
9:11 highest percentage. There is also 2 and
9:14 2 1. Actual [clears throat] result 2-1
9:16 for Genoa. Do you see how the site
9:19 works? It is amazing. Example four,
9:22 Latio 20 versus Calerie. [music]
9:24 If we look at the exact scores, we see
9:27 that 20 0 has the highest percentage.
9:29 There is also 1 0 the next highest
9:32 percentage. There is also 2 1 and 3 0.
9:35 Actual result 2-nil for Cali. Do you see
9:38 how the site works? It is amazing. Do
9:39 you see the pattern? In these four
9:41 matches, all four predictions were
9:44 correct. But beware, and this is
9:46 crucial, this does not mean it works
9:49 100%. From my 50 matches analyzed, here
