You can follow the detailed team comparison of the matches for the football matches of the day on our page.
| Parceiro Nagano (K) | Percent |
|---|---|
| Home Matches | |
| HT Under 1,5 | 88.89% |
| HT Under 2,5 | 88.89% |
| FT Odd | 88.89% |
| 1.5 Over | 77.78% |
| 2.5 Over | 77.78% |
| 3,5 Under | 77.78% |
| FT 4,5 Under | 77.78% |
| Half Time X | 66.67% |
| HT Under 0,5 | 66.67% |
| GG / BTTS Yes | 66.67% |
| Double chance X/2 | 55.56% |
| Full Time 2 | 55.56% |
| Total Goals 2-3 | 55.56% |
| Double chance 1/X | 44.44% |
| Full Time 1 | 44.44% |
| Half Time/Full Time X/1 | 33.33% |
| Half Time/Full Time X/2 | 33.33% |
| HT Over 0,5 | 33.33% |
| GG / BTTS No | 33.33% |
| 1.5 Under | 22.22% |
| 2.5 Under | 22.22% |
| 3,5 Over | 22.22% |
| FT 4,5 Over | 22.22% |
| Half Time/Full Time 2/2 | 22.22% |
| Half Time 2 | 22.22% |
| Correct Score 2-1 | 22.22% |
| Correct Score 1-2 | 22.22% |
| Total Goals 0-1 | 22.22% |
| FT 5,5 Over | 11.11% |
| Half Time/Full Time 1/1 | 11.11% |
| Half Time 1 | 11.11% |
| HT Over 1,5 | 11.11% |
| HT Over 2,5 | 11.11% |
| Any other score | 11.11% |
| Correct Score 1-0 | 11.11% |
| Correct Score 3-0 | 11.11% |
| Correct Score 0-1 | 11.11% |
| Correct Score 2-3 | 11.11% |
| FT Even | 11.11% |
| Total Goals 4-5 | 11.11% |
| Total Goals 6+ | 11.11% |
| FT 0,5 Under | 0% |
| Half Time/Full Time 1/2 | 0% |
| Half Time/Full Time 1/X | 0% |
| Half Time/Full Time 2/1 | 0% |
| Half Time/Full Time 2/X | 0% |
| Half Time/Full Time X/X | 0% |
| Correct Score 2-0 | 0% |
| Correct Score 3-1 | 0% |
| Correct Score 3-2 | 0% |
| Correct Score 4-0 | 0% |
| Correct Score 4-1 | 0% |
| Correct Score 4-2 | 0% |
| Correct Score 5-0 | 0% |
| Correct Score 5-1 | 0% |
| Correct Score 6-0 | 0% |
| Correct Score 0-2 | 0% |
| Correct Score 0-3 | 0% |
| Correct Score 0-4 | 0% |
| Correct Score 0-5 | 0% |
| Correct Score 0-6 | 0% |
| Correct Score 1-3 | 0% |
| Correct Score 1-4 | 0% |
| Correct Score 1-5 | 0% |
| Correct Score 2-4 | 0% |
| Correct Score 0-0 | 0% |
| Correct Score 1-1 | 0% |
| Correct Score 2-2 | 0% |
| Correct Score 3-3 | 0% |
| Full Time X | 0% |
| Vegalta Sendai (K) | Percent |
|---|---|
| Away Matches | |
| HT Under 1,5 | 96.67% |
| FT 4,5 Under | 90% |
| Half Time X | 90% |
| HT Under 0,5 | 90% |
| FT 0,5 Over | 86.67% |
| Double chance 1/2 | 83.33% |
| 3,5 Under | 76.67% |
| Double chance 1/X | 73.33% |
| GG / BTTS No | 66.67% |
| 1.5 Over | 63.33% |
| 2.5 Under | 56.67% |
| Full Time 1 | 56.67% |
| Half Time/Full Time X/1 | 50% |
| FT Even | 50% |
| FT Odd | 50% |
| 2.5 Over | 43.33% |
| Double chance X/2 | 43.33% |
| Total Goals 2-3 | 40% |
| 1.5 Under | 36.67% |
| Total Goals 0-1 | 36.67% |
| GG / BTTS Yes | 33.33% |
| Half Time/Full Time X/2 | 26.67% |
| Full Time 2 | 26.67% |
| 3,5 Over | 23.33% |
| Correct Score 2-0 | 20% |
| Total Goals 4-5 | 20% |
| Correct Score 1-0 | 16.67% |
| Full Time X | 16.67% |
| FT 0,5 Under | 13.33% |
| Half Time/Full Time X/X | 13.33% |
| Correct Score 0-0 | 13.33% |
| FT 4,5 Over | 10% |
| HT Over 0,5 | 10% |
| Correct Score 1-2 | 10% |
| FT 5,5 Over | 6.67% |
| Half Time/Full Time 1/1 | 6.67% |
| Half Time 1 | 6.67% |
| Correct Score 3-0 | 6.67% |
| Correct Score 0-1 | 6.67% |
| Correct Score 1-3 | 6.67% |
| Half Time/Full Time 2/X | 3.33% |
| Half Time 2 | 3.33% |
| HT Over 1,5 | 3.33% |
| Any other score | 3.33% |
| Correct Score 2-1 | 3.33% |
| Correct Score 3-1 | 3.33% |
| Correct Score 4-1 | 3.33% |
| Correct Score 6-0 | 3.33% |
| Correct Score 2-2 | 3.33% |
| Total Goals 6+ | 3.33% |
| Half Time/Full Time 1/2 | 0% |
| Half Time/Full Time 1/X | 0% |
| Half Time/Full Time 2/1 | 0% |
| Half Time/Full Time 2/2 | 0% |
| HT Over 2,5 | 0% |
| Correct Score 3-2 | 0% |
| Correct Score 4-0 | 0% |
| Correct Score 4-2 | 0% |
| Correct Score 5-0 | 0% |
| Correct Score 5-1 | 0% |
| Correct Score 0-2 | 0% |
| Correct Score 0-3 | 0% |
| Correct Score 0-4 | 0% |
| Correct Score 0-5 | 0% |
| Correct Score 0-6 | 0% |
| Correct Score 1-4 | 0% |
| Correct Score 1-5 | 0% |
| Correct Score 2-3 | 0% |
| Correct Score 2-4 | 0% |
| Correct Score 1-1 | 0% |
| Correct Score 3-3 | 0% |
| Date | Home | Rival | HT | FT |
|---|---|---|---|---|
| 31/03/2024 | Parceiro Nagano (K) | Urawa Reds (K) | 2-5 | 3-5 |
| 16/03/2024 | Parceiro Nagano (K) | Omiya Ardija | 0-1 | 1-2 |
| 03/03/2024 | Parceiro Nagano (K) | JEF United (K) | 1-0 | 2-1 |
| 07/09/2019 | Parceiro Nagano (K) | Urawa Reds (K) | 0-0 | 1-2 |
| 22/12/2018 | Parceiro Nagano (K) | Urawa Reds (K) | 0-0 | 0-1 |
| 01/12/2018 | Parceiro Nagano (K) | Tokiwagi Gakuen | 0-0 | 1-0 |
| 24/09/2018 | Parceiro Nagano (K) | Nippon SCU (K) | 0-0 | 3-0 |
| 24/06/2018 | Parceiro Nagano (K) | Nojima Stella (K) | 0-0 | 2-1 |
| 10/09/2016 | Parceiro Nagano (K) | JEF United (K) | 0-0 | 2-3 |
| Date | Home | Rival | HT | FT |
|---|---|---|---|---|
| 30/03/2024 | NTV Beleza (K) | Vegalta Sendai (K) | 1-0 | 3-0 |
| 20/03/2024 | Urawa Reds (K) | Vegalta Sendai (K) | 2-0 | 2-0 |
| 16/03/2024 | Sanfrecce | Vegalta Sendai (K) | 0-1 | 2-2 |
| 08/12/2019 | Urawa Reds (K) | Vegalta Sendai (K) | 0-0 | 1-0 |
| 26/10/2019 | Albirex Niigata (K) | Vegalta Sendai (K) | 0-0 | 4-1 |
| 15/09/2019 | Urawa Reds (K) | Vegalta Sendai (K) | 0-0 | 2-0 |
| 14/07/2019 | Urawa Reds (K) | Vegalta Sendai (K) | 0-0 | 0-0 |
| 12/05/2019 | NTV Beleza (K) | Vegalta Sendai (K) | 0-0 | 3-0 |
| 02/05/2019 | Iga Kunoichi (K) | Vegalta Sendai (K) | 0-0 | 2-1 |
| 30/03/2019 | Nippon SCU (K) | Vegalta Sendai (K) | 0-0 | 1-3 |
| 21/03/2019 | Nojima Stella (K) | Vegalta Sendai (K) | 0-0 | 1-0 |
| 22/12/2018 | NTV Beleza (K) | Vegalta Sendai (K) | 0-0 | 6-0 |
| 03/11/2018 | JEF United (K) | Vegalta Sendai (K) | 0-0 | 3-4 |
| 24/10/2018 | Cerezo Osaka (K) | Vegalta Sendai (K) | 0-0 | 1-2 |
| 16/09/2018 | Urawa Reds (K) | Vegalta Sendai (K) | 0-0 | 1-0 |
| 30/06/2018 | Cerezo Osaka (K) | Vegalta Sendai (K) | 0-0 | 0-0 |
| 26/05/2018 | NTV Beleza (K) | Vegalta Sendai (K) | 0-0 | 2-0 |
| 08/04/2018 | INAC Leonessa (K) | Vegalta Sendai (K) | 0-0 | 0-1 |
| 06/09/2017 | Nojima Stella (K) | Vegalta Sendai (K) | 0-0 | 1-3 |
| 03/09/2017 | NTV Beleza (K) | Vegalta Sendai (K) | 0-0 | 3-1 |
| 09/07/2017 | Elfen Sayama (K) | Vegalta Sendai (K) | 0-0 | 1-0 |
| 17/06/2017 | Urawa Reds (K) | Vegalta Sendai (K) | 0-0 | 0-0 |
| 14/05/2017 | Elfen Sayama (K) | Vegalta Sendai (K) | 0-0 | 0-1 |
| 29/04/2017 | Urawa Reds (K) | Vegalta Sendai (K) | 0-0 | 0-0 |
| 26/03/2017 | JEF United (K) | Vegalta Sendai (K) | 0-0 | 1-2 |
| 02/10/2016 | Urawa Reds (K) | Vegalta Sendai (K) | 0-0 | 1-2 |
| 18/09/2016 | INAC Leonessa (K) | Vegalta Sendai (K) | 0-0 | 2-0 |
| 28/05/2016 | JEF United (K) | Vegalta Sendai (K) | 0-0 | 2-0 |
| 08/05/2016 | NTV Beleza (K) | Vegalta Sendai (K) | 0-0 | 2-0 |
| 30/04/2016 | Iga Kunoichi (K) | Vegalta Sendai (K) | 0-0 | 1-0 |
Our site offers football analysis, live scores as well as predictions and statistics leagues and teams. In this section, we summarize team comparisons of football matches from all over the world.
The two teams from our team comparison page are analyzed in detail and given results. Home team match analysis is again analyzed only according to the matches played at home.
The analysis of the opposing team is again analyzed only in the away matches they play. Team comparison of football matches is continuously updated data.
Included team comparisons, under/over, first-half results, according to the result of the match, total goals, goals do not have, the first half allows in-depth statistics of the result of the game.
It covers all major leagues, including the first two leagues in Germany, France, Spain, and Italy.
It also includes significant leagues in Mexico, Argentina, Brazil, Russia, Denmark, Austria, Turkey, Greece, and the United States. Football statistics data has been collected, analyzed, and visualized to help you search for all the numbers.
On our Football Fixtures page, you can find the time and odds of the matches to be played.
Welcome to your ultimate guide to h2h prediction. Whether you're a seasoned analyst or a newbie looking to enhance your match forecasting skills, this guide has got you covered. As you may already know, h2h prediction is a crucial aspect of soccer and football forecasting, and getting it right can make a huge difference in the outcome of your games.
In this comprehensive guide, we'll take you through the ins and outs of h2h prediction, from understanding its relevance to exploring expert strategies and avoiding common pitfalls. Our aim is to equip you with the tools and knowledge needed to make accurate and reliable predictions, so let's get started!
head to head prediction: Your Ultimate Guide to Accurate Match Forecasts
If you're looking for tips on how to make accurate predictions when gaming on soccer matches, you've come to the right place. In this guide, we'll share some expert strategies on how to correctly forecast match results, avoid common pitfalls, and make winning games.
Sports gaming can be a great way to make money, but it's also important to remember that it's a game. You can use all the research and knowledge in the world, but there's always going to be an element of luck involved. That's why it's so important to only game with money you can afford to lose, and to never chase your losses.
With that said, let's take a look at some of the factors you need to consider when making soccer match predictions.
h2h football
It is often said that football is a game of inches. The margins between winning and losing are often very fine, and even the best teams can have an off day. This makes predicting the outcomes of matches all the more difficult, but also all the more exciting. A good prediction can make all the difference, and with a little know-how, you too can be a H2H prediction expert!
In this guide, we will explore some of the key factors that go into making accurate predictions, as well as debunking some of the myths that surround the art of match forecasting. By the end of this guide, you should have a good understanding of how to go about making your own predictions, as well as some of the things to look out for.
So, without further ado, let's get started!
Head to head (h2h) predictions involve analyzing the previous encounters between two teams to forecast the outcome of their upcoming match. In soccer and football, h2h predictions are essential in determining which team has a higher probability of winning.
When analyzing h2h data, it is important to consider several factors, including the location of the match, the performance of individual players, and the team's form and motivation. The outcome of previous matches can also serve as a valuable indicator of the likely result of the upcoming game.
While h2h predictions may not always guarantee accurate results, analyzing past encounters gives gamers an edge in making informed decisions. Many experts believe that head to head analysis is one of the most reliable methods for predicting match outcomes in soccer and football.
The first step in analyzing h2h data is to collect the necessary information. This includes the date and location of previous matches, the final scores, and the players who were involved in each game. Once you have gathered this data, you can begin to identify patterns and trends that may influence future results.
One important factor to consider is home advantage. Teams often perform better when playing on their home field, and this can be reflected in their head to head record. Additionally, analyzing player injuries and suspensions can give insight into a team's overall form and potential performance.
Overall, analyzing h2h data requires a combination of attention to detail, statistical analysis, and experience. By carefully analyzing the past performances of teams and players, you can make informed predictions with a higher degree of accuracy.
Head to head analysis is a critical aspect of accurate match forecasting. When making h2h predictions, it is crucial to consider several key factors that can influence the outcome of a match. In this section, we will explore the most important elements to keep in mind when analyzing head to head data.
One of the key factors to consider when making h2h predictions is the current form of the team. Teams can experience changes in form over time, impacted by factors such as injuries, transfers, and morale. Analyzing recent results and performance can provide valuable insights into a team's current form and its potential performance in future matches.
Injuries can significantly impact a team's performance, and it's essential to consider this factor when making h2h predictions. Teams with injured key players may struggle to compete effectively, leading to unexpected outcomes in matches. Considering injury reports and player availability can increase the accuracy of h2h forecasts.
Home advantage can play a significant role in the outcome of soccer and football matches. Teams playing in their home stadium may experience a boost in confidence and performance, while competing teams may struggle to adapt to the unfamiliar setting. Analyzing the impact of home advantage on past head to head encounters can provide valuable insights into future outcomes.
Examining historical trends in head to head encounters can offer valuable insights into future outcomes. Factors such as the number of goals scored in past matches, patterns in team performance, and the frequency of draws can all be useful indicators when making h2h predictions. Analyzing these trends can help identify underlying patterns and increase forecast accuracy.
Now that you have a solid understanding of h2h predictions and the key factors to consider, it's time to explore expert strategies and techniques to enhance your prediction skills.
One of the most crucial steps in making accurate h2h predictions is analyzing head to head data effectively. Look beyond the scoreline and consider factors such as team formations, tactics, and player performance.
Expert Tip: Use a spreadsheet to organize h2h data for quick and easy analysis. Create columns for key statistics such as goals scored, shots on goal, possession percentage, and scoring patterns. Use this data to draw comparisons between the two teams and identify patterns.
Another effective strategy is to identify trends across different competitions. Consider how teams perform in domestic leagues versus international competitions, as well as their form in different stages of the season.
Expert Tip: Research historical trends and analyze patterns to identify teams that perform well in specific competitions or stages of the season. Use this information to make informed predictions and stay ahead of the game.
Key player matchups can have a significant impact on the outcome of a match. Consider the individual performances of key players, their recent form, and how they match up against their opponents.
Expert Tip: Use player comparison tools to analyze and compare statistics for key players. Pay attention to individual strengths and weaknesses, as well as how they match up against their opponents.
Team news and injuries can have a significant impact on the outcome of a match. Stay up to date with the latest team news, including injuries, suspensions, and lineup changes.
Expert Tip: Monitor social media accounts and news outlets for the latest team news. Use injury tracking tools to stay up to date with player injuries and their expected return date. Consider how these factors could impact the outcome of the match.
One of the biggest pitfalls in h2h predictions is bias towards a particular team or player. Maintain a neutral perspective and avoid letting personal opinions and emotions impact your predictions.
Expert Tip: Consider the data objectively and avoid over-reliance on past results. Look at the current form of the teams and consider other factors such as home advantage and referee decisions.
By incorporating these expert strategies into your h2h prediction process, you can enhance your accuracy and reliability, giving you the edge in match forecasting.
When it comes to making accurate h2h predictions, data analysis is a crucial tool. By collecting and analyzing relevant statistics, you can gain valuable insights into a team's performance and make more informed forecasts.
One key area to consider is team form. Analyzing a team's recent performance can give you an idea of their current level of play and how they may perform in their next match. Additionally, tracking goal averages and scoring patterns can help identify potential goal-scoring opportunities and inform your prediction.
| Statistic | Description |
|---|---|
| Team form | Recent performance of the team |
| Goal averages | Average number of goals scored and conceded by a team in a match |
| Scoring patterns | The frequency and timing of a team's goals |
Another factor to consider is home advantage. Teams tend to perform better when they are playing in their home stadium, so it's important to factor in this influence when making your prediction. Finally, historical trends can also provide valuable insights into a team's performance and inform your h2h prediction.
By utilizing data analysis effectively, you can gain a competitive edge in making accurate h2h predictions. Whether you are using software tools or manually collecting and analyzing data, these insights can help you make better-informed forecasts.
H2H predictions have come a long way since the early days of soccer and football analytics. Technological advancements and innovative statistical modeling have transformed the accuracy and reliability of match forecasts. Today, H2H predictions encompass a range of complex data analysis techniques, offering unprecedented insights into team performance and match outcomes.
In the early days of soccer and football analytics, H2H predictions were largely based on anecdotal evidence and historical records. Analysts would manually comb through match results and team statistics, looking for patterns and trends that could indicate future performance. This process was time-consuming and often unreliable, leading to inconsistent match forecasts.
“H2H predictions have evolved significantly over the years, thanks to technological advancements and innovative statistical modeling techniques.”
The advent of technology has revolutionized H2H predictions, making them faster, more accurate, and more reliable. Advanced algorithms and machine learning models can now process vast amounts of data, analyzing team performance, player statistics, and historical trends. This data-driven approach has enabled analysts to make more accurate match forecasts, offering sports fans unparalleled insights into the world of soccer and football.
The future of H2H predictions is bright, with emerging trends and techniques set to transform match forecasting even further. Artificial intelligence and predictive analytics are likely to play an increasingly important role in H2H predictions, enabling analysts to make more accurate and data-driven forecasts. As technology continues to evolve, it’s clear that H2H predictions will remain an essential component of sports analysis, providing fans with valuable insights and a deeper understanding of the game.
While head to head predictions can be a powerful tool, it's important to be aware of the common pitfalls that can lead to inaccurate forecasts. Here are some factors to consider:
| Pitfall | Description |
|---|---|
| Bias | Don't let personal preferences cloud your judgment. Make sure you are analyzing the data objectively and without any preconceived notions about the teams. |
| Overreliance on past results | While past results can be a useful indicator, they are not always an accurate predictor of future outcomes. Make sure you are taking into account current form, injuries, and other factors that can impact the match. |
| Ignoring current form | Teams can experience changes in form during a season, so it's important to take into account their recent performances when making predictions. |
By avoiding these common pitfalls, you can improve the accuracy of your head to head predictions and increase your chances of making successful match forecasts.
While soccer and football are popular sports for h2h predictions, this analysis can also be applied to other sports. In basketball, for example, head to head statistics can reveal how teams perform against each other, their strengths and weaknesses, and how they can exploit the opposition's vulnerabilities. H2h prediction is also applicable in tennis, especially when examining the match history of players. This analysis can help predict the outcome of future matches, factors that could affect the players' performance, and their ability to dominate on different court surfaces.
Cricket is another sport where h2h predictions are relevant. Teams can be analyzed based on their performances against specific opponents, their strengths and weaknesses, and how they adapt to varying conditions.
However, it's important to keep in mind that h2h predictions in different sports can have their unique strategies and factors to consider. While some similarities may exist, it's crucial to tailor the analysis to each sport's specific requirements.
Head to head predictions have become a crucial tool for accurate match forecasting in sports like soccer, football, basketball, tennis, and cricket. In this guide, we have explored the importance of h2h predictions, the key factors that impact forecasts, and expert strategies for making informed predictions.
By understanding the significance of historical data, analyzing relevant statistics, and avoiding common pitfalls, readers can improve their prediction skills and stay ahead in the game. As technology and statistical modeling continue to advance, we can expect h2h predictions to become even more accurate and reliable in the future.
We hope this guide has provided you with valuable insights and practical tips to enhance your h2h prediction skills. Apply these strategies with confidence and empower yourself to make winning predictions in your favorite sports!
A: H2h prediction, also known as head to head prediction, is a method used in soccer and football forecasting to analyze the historical encounters between teams. By studying the outcomes of previous matches, experts can make predictions about the future performance and results of teams.
A: H2h prediction is crucial in match forecasting because it provides valuable insights into the performance and dynamics of teams. By considering past results and head to head statistics, analysts can make more accurate predictions, taking into account factors such as team form, player injuries, and historical trends.
A: H2h predictions can enhance your soccer or football forecasts by providing a solid foundation for analysis. By studying previous encounters between teams, you can identify patterns, understand team dynamics, and assess the potential outcomes of future matches. This can significantly improve the accuracy of your predictions.
A: No, h2h prediction is not limited to soccer and football. While it is commonly used in these sports, the concept of analyzing past encounters between teams can be applied to other sports as well. H2h predictions can be relevant in sports like basketball, tennis, and cricket, helping to forecast match results based on previous performance.
A: Yes, there are common pitfalls to avoid in h2h predictions. It is important to be aware of biases, avoid overreliance on past results, and consider the current form of teams. Ignoring key factors such as team injuries or changes in tactics can also lead to inaccurate forecasts. By being mindful of these mistakes, you can make more informed and reliable predictions.
Explore the fascinating world of team dynamics with our exclusive h2h prediction feature. Our in-depth analysis, based on head-to-head statistics, provides valuable insights into team performance and helps you anticipate match outcomes. Elevate your game with our comprehensive team comparison and h2h predictions.