Discover real data, percentages and insights on who has satisfied and made satisfied the most Natural Predictions on the delay draw series.
Let’s start with the Natural Predictions on “No Draw” because obviously they are the sign that offers the most abundant odds and it is always an intriguing “challenge” to aim for a draw.
Let’s see how the numbers and percentages of our championship tell us. We have extracted and compared the real data of the 20 teams and, as per the original statistics on the platform, we do not limit ourselves to seeing who has merely drawn , but we analyze two distinct and complementary aspects.
- How many times did a team meet its Natural Prediction when in the PN waiting for a draw condition.
- How many times has she helped her opponents meet the same condition.
| Squad | pre/post quantity | PN Team % | Opponent quantity pre / post | PN Opponent % | Sum % |
|---|---|---|---|---|---|
| Empoli | 9/23 | 39 | 10/22 | 45 | 84 |
| Venice | 9/22 | 41 | 10/27 | 37 | 78 |
| Bologna | 8/22 | 36 | 12/31 | 39 | 75 |
| Turin | 8/22 | 36 | 11/29 | 38 | 74 |
| Juventus | 7/20 | 35 | 9/24 | 38 | 73 |
| Genoa | 9/23 | 39 | 7/23 | 30 | 69 |
| Lazio | 9/26 | 35 | 8/26 | 31 | 66 |
| Lecce | 8/26 | 31 | 9/29 | 31 | 62 |
| Parma | 7/22 | 32 | 8/28 | 29 | 61 |
| Naples | 7/27 | 26 | 8/26 | 31 | 57 |
| Milan | 6/27 | 22 | 7/22 | 32 | 54 |
| Rome | 6/27 | 22 | 8/27 | 30 | 52 |
| How | 9/27 | 33 | 4/24 | 17 | 50 |
| Monza | 6/27 | 22 | 5/23 | 22 | 44 |
| Inter | 8/28 | 29 | 4/27 | 15 | 44 |
| Atalanta | 6/28 | 21 | 5/26 | 19 | 40 |
| Cagliari | 6/27 | 22 | 4/23 | 17 | 39 |
| Udinese | 5/28 | 18 | 4/23 | 17 | 35 |
| Florentine | 4/28 | 14 | 5/28 | 18 | 32 |
| Hellas Verona | 4/30 | 13 | 3/22 | 14 | 27 |
Empoli, Venezia and Bologna top the special ranking of expected draws in Serie A 2024/25.
Empoli on top: the most reliable team on the PN waiting for a draw.
With a total of 84% , Empoli leads the Natural Predictions insights table waiting for a draw: a value that combines the effectiveness of its expected draws and the ability to make its opponents satisfy them.
The Tuscan team satisfied its Natural Prediction in 9 out of 23 cases (39%) and contributed to the opponent’s draw in 10 out of 22 occasions (45%) .
This combination makes it the most effective in Serie A 2024/25 in generating expected draws, both actively and passively, in fact there are only 8 cases of both teams waiting for the draw satisfied.
Unfortunately for Empoli, relegation has arrived, but we will follow them closely during the next Serie B season.
Venezia was also relegated but is second due to this data.
Venezia also says goodbye to Serie A and closes the season with 9 cases out of 22 (41%) of satisfaction with the Natural Predictions while waiting for the draw and 10 cases out of 27 (37%) as an effective “competitor” for those of the opponents.
The sum of the potential offered 78% of overall ability to generate the X result in a way that is consistent with the related statistical expectations, making it the second most reliable team for those who bet on the draw, with 6 cases of double X expected in the same match.
Venezia’s simple draws, that is when they played without waiting for the PN on the “No Draw”, were a total of 14 out of 37 (38%).
Bologna and Turin: similar values, different behaviors.
Bologna and Turin have very close percentages in the overall sum, respectively 75% and 74% , but with differences in the details. Both have the same data on the satisfaction of their Natural Predictions, 8 cases out of 22 (36%) but Bologna has made the opponents draw more often, 12 cases out of 31 (39%). Turin instead in 11 cases out of 29 (38%).
During the season we have often cited both Bologna and Torino for this trend, which generated the same number of exact 1-1 results, 6 cases out of 37 matches (16%).
Curiosity: even the simple draws of Bologna and Torino were a total of 14 out of 37 (38%).
Udinese, Fiorentina and Hellas Verona are the Serie A teams that generated less satisfaction than the PN when waiting for a draw.
Udinese third from bottom for performance on draw.
Udinese closes the season with a total of 35% , which places it in third-last place in the ranking of effectiveness on Natural Predictions waiting for a draw. Only 5 draws were achieved out of 28 occasions in which it was expected (18%) and just 4 cases out of 23 (17%) in which it contributed to the opponent drawing. A figure that confirms a season with little predisposition in a statistical perspective linked to the X result. Udinese’s simple draws were a total of 8 out of 37 (22%).
Fiorentina starts well but then finishes second to last.
Fiorentina had started off great with 3 draws in the first 3 days of Serie A but then did not confirm its trend. It closes in second to last place with a potential sum of 32% . It respected its Natural Prediction waiting for a draw only 4 times out of 28 (14%) and contributed to the opponent’s draw in 5 occasions out of 28 (18%) . Even for Viola the data confirm a reduced capacity to satisfy this specific insight. Even Fiorentina’s simple draws were a total of 8 out of 37 (22%).
Hellas Verona, long wait for the first draw.
Verona also fought but achieved safety, from the point of view of the PN on the No Draw it is the last in the standings but it could already be guessed from the first half of the season, where the first draw arrived on the same day and with a delay of 17 in the match against Udinese at dawn on 4 January 2025 (0-0).
With a total of 27% , Hellas Verona is the least effective team in Serie A 2024/25 in Natural Predictions waiting for a draw. They have fulfilled their expectation only 4 times out of 30 (13%) and have contributed to the opponent’s draw in just 3 cases out of 22 (14%) .
Numbers that place it clearly in last place for this insight, making it of little use for any betting strategy based on the result X. Verona’s simple draws were a total of 7 out of 37 (19%).
How to consider and use the data of the “Draw Expectation” series on the betting side
The data in the table can help identify the most reliable teams for betting strategies based on the draw, not only because they draw often, but because they do so precisely in moments of statistical expectation. This aspect increases the predictive potential of the data because it also provides indications on “when”.
In concrete terms, a high percentage in the sum of the two values suggests a greater predisposition to the statistically expected break-even, and therefore an interesting potential for fixed or hedging odds .
Dry X odds – A odds usually between 3.00 and 3.30. In these matches, teams with high percentages become interesting for those looking for value bets on a pure draw. It is more attractive to play it together with the “goal” (but watch out for pending 0-0s), more prudent to play it as a single or in error correction systems .
Double Chance Odds 1X or X2 – Very variable odds, from 1.40 to over 2.00, based on the market situation. In matches where one of the two teams has a high incidence in draws (both active and passive), these options offer coverage with lower risk but are often super interesting on the less favored team.
Odds Total Goals Draw – Usually around odds of 1.80. In the presence of teams that tend to generate or suffer draws, this play can offer continuity with a different risk, but still connected to the idea of balance in the results. For those who have followed us for years, one of the coverage odds that I prefer, to be evaluated also with other useful parameters.
The table allows you to recognize which teams, numbers in hand, have produced draws when they were expected to do so . In this sense, it is a concrete tool to filter the matches most suitable for this type of reading, to be integrated with other analyses , statistics and evaluation of real circumstances and conditions of the matches.
Natural Predictions also on expected victory and defeat.
In addition to waiting for a draw, on the platform you can also analyze the series of Natural Predictions waiting for victory and defeat . Each insight has the same structure and the same utility: it shows you whether a team has respected the statistic or not, and whether it has contributed to making the opponents respect it.
Data split between home, away and total.
For each series you can select the total data, or isolate the home or away ones. This allows you to better understand how a team behaves in different contexts and makes any pre-match statistical evaluation more effective.
Each game contains two teams, so you can do scopa!
Each match obviously involves two teams and for each you find two pairs of data: how many Natural Predictions it satisfied when it was waiting, and how many it made its opponents satisfy. This gives you four real data for each match, already calculated and ready to be paired at a glance with the best statistics.
In addition to Serie A, 21 other top leagues in Europe, also live.
The platform includes 22 complete leagues , all updated in real time and consultable with the same criteria. Imagine how much data you can use to select your soccer predictions, even during the livescore .
Discover all the statistics available on the platform, designed for those who want to exploit the phenomenon of Natural Predictions with in-depth betting analysis, based on objective data and quickly .
The nature of football provides us with similar and repetitive patterns every season to support our football bets.
