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On Study Of The Evaluation Of Basketball Players' Competition State In Real-time On The Basis Of K-line And Moving Average Theory

Posted on:2018-04-22Degree:MasterType:Thesis
Country:ChinaCandidate:L TangFull Text:PDF
GTID:2347330518951771Subject:Human Movement Science
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Objective: Represented by basketball three big ball games in quick variable factors are complicated,athletes as the main body of competition,the performance of competitive state is determined by the outcome of the game,to grasp the game both sides real-time degree of play a competitive game state is particularly important.The description of the game state changes trend athletes both sides method to scatter line mostly explain the rule,to match or historical data analysis is given priority to,the lack of sports game real-time process description and prediction of the trend of change.K line theory of the core is the application of the chart,the chart is larger than that of a scatter line chart by both sides(both sides)between game content,K line graph in the financial market commonly used in combination with the moving average,moving average in K line theory of trend judgment plays an important supporting role.This study based on the project team to K line and theory on the basis of previous research in the field of sports,for the first time,through the K line theory applied to the basketball match to K line theory than the traditional method of a scatter line more can find the game both sides in advance trend of the game state to K line theory in the field of sports quick expand new ideas.Method:K line graph is divided into single K line graph and composite chart,each type of K line graph were significantly differences affect "afternoon",this article tries using the most representative of the chart(Real Body White Line(RBWL)help to rise,and the roles of Real Body Black Line(RBBL)help fell,Cross Star(CS)and Composite Cross Star(CCS)have a turning effect)and cross with different combination of moving average trend judgment in the basketball match is effectiveness for empirical research.Selection of 2015-2016 season,the Chinese Basketball Association(CBA)in the playoffs a total of 25 games and the National Basketball Association(NBA)a total of 86 games in the playoffs as the research object.Making use of Excel to record the variation of the real time Score Gap(SG)in the game,record the change of the game live SG fluctuations(SG is a combination of both players form representation),made of a scatter line chart,the SG between text import Tongdaxin obtain K line graph and the moving average chart software,again by vertex to the low average is divided into three parts(top,middle and bottom),record the RBWL,RBBL,CS and CCS K line graphic,determine the entities at the bottom of the top,and RBWL and RBBL line of difference and the top of the next period of time points,under the CS at the bottom of the four time points difference and the running time;At the same time record in the game every time the home team and the visitors call pause time node;Calculating a cross on top and bottom at the same time,different moving average on the score difference and the influence of the running time.Processing,analysis of the data by SPSS 19.0 statistical K line chart and MA line relationship with the basketball SG.Result:1.CS in the CBA and NBA here can be very effective indicate a turning point in the war situation reversed.At the top of the cross group than that of a scatter line chart of average forecast trend reversal time significantly ahead of the 2 '55 ",is 11.4 times of a scatter line chart group;CS than that of a scatter line chart at the bottom of the average forecast trend reversal time significantly ahead of the 3 '7 ",is 13.3 times of a scatter line chart group.2.Single K line to judge: in the CBA and NBA,RBWL at the bottom in the next section of the score difference significantly increased(P < 0.01),and the higher probability as high as 95.2% and 95.2% respectively;Entities,by contrast,RBBL appear in the top,the next leg of SG significantly decreased(P < 0.01),and the drop probability of 86.5%,88.1% respectively.Compound K line to judge: in the CBA and NBA,CS at the bottom of the empty high open bald Yang line combination in N3-N4 interchange period of higher SG is significantly higher than the CS(P < 0.01);At the top of the CS + jump empty low medallion foot Yin line combination in N3-N4 interchange period of decline in the SG is significantly higher than the CS(P < 0.01).3.The top of RBWL in the CBA and NBA,the visitors take the initiative to call time out to larger probability(CBA: 100%,NBA: 100%)effective intervention SG to continue the trend of rising;When the RBWL appears at the bottom,the visitors is called time out group can contain live SG increases.On the contrary,when the RBBL appears at the bottom,the home team call timeout group can block the SG the probability of downward trend is very large(CBA: 100%,NBA: 87.5%);When RBWL appears at the top,the home team call timeout group downward trend for the SG could do nothing.4.The "golden cross" and "death cross" the best combination is MA2-MA3,but the average portfolio was significantly lower than that of top and bottom CS to rise or fall to reverse the SG(P < 0.05);top and bottom CS very much faster than the average time of establishment fell and Rose(P < 0.01);however,in maintaining the stability of the trend in the game,running time of MA3-MA4 was significantly higher than that of the top and bottom CS decreased with the increase of the maximum(P < 0.05).Conclusion:1.Top and bottom cross stars than the scatter line chart in the analysis of basketball game trend reversal more rapid establishment of signal fell and rose,while the CCS than CS to make faster SG trend inflection point anticipation.the bottom of RBWL can be a strong predictor of SG increases,the top of RBBL plays a key role in decline of SG,SG can be very effective to SG trend inflection point in advance to make correct anticipation.All of the above results show that the reliability of the K line graph is better than that of the scatter line.2.K line graph in different positions on the lower segment of the guidelines have different probability,the effect of human intervention in this study is consistent with the role of K line in different positions.Therefore,people have to intervene to assess the situation,only to do a specific analysis of the problem in order to effectively interfere with the predictive role of k-line.3.K line than moving average can be more effective to judge the competition trend,but the trend is weaker than the stability of tracking moving average.The moving average of the different combinations of the description of the role of the trend is not the same,suggesting that only the best combination of K line chart and moving average,in order to grasp the current situation,so that the pattern of development.
Keywords/Search Tags:K-line, Moving averages, Basketball, Score gap, The game state
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