The six-game prediction method is a simple prediction method provided to punters by the British media, and the basic condition for the method to make a prediction is based on the premise that a team's certain recent trend will maintain continuity. For example, if a team has won six consecutive matches at home, with W as the winning symbol, the recent performance is WWWWWW; if the team playing away has lost six consecutive matches, with L as the losing symbol, the recent performance of the away team is LLLLLL; the predicted result is that the home team wins the game. Again, assuming that the two teams competing in the tournament have played 4 draws in their last 6 matches, with X as the draw symbol, then the recent performance of that team is XWXXLX, and the two teams will play a draw in the upcoming match.

  The method is based on the continuity of the team's form performance, and while it certainly has its merits, it is extremely one-sided. For example, in the previous example, it is almost a hundred years before both teams happen to be WWWWWW against LLLLLL. Furthermore, it is difficult to find a definitional criterion for this method in practice, thus limiting its application to a great extent. The rationalization of the six-game prediction method is that it takes the performance of a team over a period of time as the basis for prediction, and therefore better reflects the probability of a team winning or losing as determined by its athletic status. For this reason, some betting professionals have improved the six-game prediction method and made it widely used.

  I. Use of the six-field forecasting method

  The improved method is to set a difference value based on the difference in strength or form between the two participating pairs, and then predict the match result based on this difference value. The specific calculation method is as follows: in the last 6 matches of a team, each win (i.e. 1 W) is counted as 3 points, each draw (i.e. 1 X) is counted as 1 point, and each loss (i.e. 1 L) is counted as 0 points. If a team has won all 6 of its previous games, i.e. WWWWWWWW according to the six-game prediction method, the team will be scored 18 points; if it is LLLLLL, it will be scored 0 points: if it is WLXXWW, it will be scored 11 points.

  II. Definition of projections

  The six-match prediction method is also subject to home and away factors and team strengths. The improved six-match forecasting method was applied to the last 600 matches of the English Premier League (EPL) and Serie A (Serie A) leagues, and the following forecasting definitions were obtained.

  Definition 1: When the difference between the two teams playing is 6 or more points in six games, the team with the higher six points wins;

  Definition 2: When the difference between the two teams playing is 5 points in six games, if the home team has more points in six games, the home team wins; if the home team has fewer points in six games, the home team wins or draws.

  Definition 3: When the six-game point differential between the two teams playing is 2-4, the team with the higher six-game point differential wins.

  Definition 4: When the six-game point differential between two teams playing is 1 or 0, the home team wins or draws.

  III. Accuracy of the six-field forecasting method

  1. Overall accuracy

  The Premier League has 321 predictions from the seventh round, of which 182 were correct, an accuracy rate of 56.7%. Serie A has 252 predictions from the seventh round, of which 136 were correct, an accuracy rate of 54.0%.

  2. Accuracy of paragraphs

  · [The Premier League] has an accuracy of 42.7% when the six-game point spread is 6 or more, 70.6% when the six-game point spread is 5, 51.2% when the six-game point spread is 2-4, and 77.5% when the six-game point spread is 1 or 0.
· [Serie A] is 48.1% accurate when the six-game point spread is 6 or more; 57.1% accurate when the six-game point spread is 5; 41.9% accurate when the six-game point spread is 2-4; and 78.0% accurate when the six-game point spread is 0 or 1.

   · In the Premier League, significantly lower than the overall accuracy is when the six point spreads are 2, 7, 8 and 10 or more.

· In Serie A, significantly lower than the overall accuracy is when the six point spreads are 2, 3 and 8.

   · The percentage of the total number of matches in the Premier League with six points of 2, 7, 8 and 10 or more is 27.7%; the percentage of the total number of matches in Serie A with six points of 2, 3 and 8 is 30.9%. In other words, for the Premier League, 72.3% of the matches can be predicted more accurately. For Serie A, 69.1% of the matches can be predicted more accurately. Therefore, the six-match prediction method can be applied to Premier League matches to predict 7 out of 10 matches in each round more accurately. For Serie A matches, 6 out of 9 matches per round can be predicted more accurately.

  The three static prediction methods mentioned above are in the form of mathematical models that predict the outcome of the match from the match itself, which can also be described as a process that mimics the process by which the bookies arrive at their odds conclusions. Although the prediction methods we know are not necessarily the ultimate basis for the bookies' odds, from a theoretical point of view, the bookies' odds models are also based on these three objective data models, and therefore, discovering the commonality between them is not an underestimation of their supporting role in effectively predicting the outcome of matches. Another point is that some highly perceptive players will use these three mathematical models, combined with handicap or odds analysis methods, and form their own analysis mode. For example, the first use of the goal rate method to make a preliminary conclusion in favor of the home team, and then go to observe the Asian handicap (assuming that the home team to let the ball) pay, when found on the plate water level is high, and once the home team to play for the bookmakers and not reasonable, then they will make the final conclusion of the upper plate (the home team) is overheated, and actual betting on the choice of striking the lower plate (the away team).

----------------------The following is the original Chinese version----------------------------

六场预测法是英国媒体提供给彩民的简单预测方法，该方法进行预测的基本条件是以一个球队某种近期趋势会保持延续性为前提。例如，如果某球队已经在主场连续赢了6场比赛，以W为赢球符号，则近期成绩为WWWWWW;如果客场作战的球队已经连续输了6场比赛，以L为输球符号，则该客队的近期表现为LLLLLL;该预测结果即为主场球队赢球。再如，假设参赛的两队在最近6场比赛中打出了4场平局，以X作为平局符号，那么近期的比赛表现为XWXXLX，则该两个队在即将进行的比赛中会打出平局的结果。

  该方法是建立在球队状态表现的持续性基础之上，固然有它一定道理，但是却存在极大的片面性。例如前面的例子中，两个队都恰好是WWWWWW对LLLLLL的情况几乎是百年难遇。再就是该方法在实际操作中很难找到定义准则，因此，使其在应用上受到极大限制。而六场预测法的合理之处是该方法以球队在一个阶段内的表现为预测基点，因此，较能体现球队在竞技状态决定下的胜负概率。为此，一些博彩专业人士对六场预测法进行了改进，使其得到广泛应用。

  一、六场预测法的使用方法

  改进后的方法为，根据参赛两对实力或状态差异设定差异值，进而根据该差异值来预测比赛结果。 具体的计算方法为：某球队最近的6场的比赛结果中，每胜1场(即1个W)计为3分，每平1场(即1个X)计为1分，每负1场(即1个L)计为0分。如若某队在之前的6场全赢，即按照六场预测法为WWWWWW，则该队得分为18分;若为LLLLLL，则计为0分：若是WLXXWW则计为11分。

  二、预测定义

  六场预测法同样要受主客场因素和球队实力所制约。应用改进后的6场预测法，对英超(微博 专题) 和意甲(微博 专题) 联赛近600场比赛进行了预测，得出如下预测定义。

  定义1：当交战的两队六场积分差为6或6以上时，六场积分高的球队胜;

  定义2：当交战的两队六场积分差为5时，若主场球队六场积分高，则主场球队胜; 若主场球队六场积分低，则主场球队胜或平;

  定义3：当交战的两队六场积分差为2—4时，则六场积分高的球队胜。

  定义4：当交战的两队六场积分差为1或0时，则主场球队胜或平。

  三、六场预测法的准确率

  1.总体准确率

  英超联赛从第七轮开始共预测321场，其中有182场预测正确，准确率为56.7%。意甲联赛从第七轮开始共预测252场，其中有136场预测正确，准确率为54.0%。

  2.各段准确率

  英超联赛六场积分差为6或6以上时，准确率为42.7%;六场积分差为5时，准确率为70.6%;六场积分差为2-4时，准确率为51.2%;六场积分差为1或0，准确率为77.5%。意甲联赛六场积分差为6或6以上时，准确率为48.1%;六场积分差为5时，准确率为57.1%;六场积分差为2-4时，准确率为41.9%;六场积分差为0或1时，准确率为78.0%。

  英超方面，明显低于总体准确率的是六场积分差为2、7、8及10以上时;意甲方面，明显低于总体准确率的是六场积分差为2、3、8时。

  而英超六场积分为2、7、8及10以上的场数占总场数的比例为27.7%;意甲六场积分为2、3、8的场数占总场数的比例为30.9%。也就是说，对于英超而言，可以较准确地预测72.3%的比赛。对于意甲而言，可以较准确地预测69.1%的比赛。因此，六场预测法应用于英超比赛，每一轮的10场赛事中，可以较准确地预测7场。而应用于意甲比赛，每轮9场赛事中，可以较准确地预测6场。

  上述三种静态预测方法，都是以数学模型的形式出现，它们是从比赛本身来预测赛果，也可以说是一种模仿博彩公司得出赔率结论的过程。虽然我们所了解的预测手段并不一定是博彩公司开出赔率的最终依据，但是从理论角度来看，博彩公司的赔率模型也是基于这三个客观数据模型而建成的，因此，发现它们之间共通性，对我们有效的预测比赛结果，其辅助作用不可小视。还有一点，就是一些悟性很高的玩家会利用这三种数学模型，与盘口或赔率分析方法相结合，而形成自己的分析模式。例如，先利用进球率法做出了对主队有利的初步结论，再去观察亚洲盘的上盘(假设主队让球)赔付，当发现上盘水位偏高，而一旦主队打出对庄家而言并不合理的话，那么他们会做出上盘(主队)过热的最终结论，而实际投注时则选择出击下盘(客队)。