Prediction of ticket purchase in professional sport using data mining

Prediction of abandonment in Spanish fitness centres

“…The models obtained for predicting abandonment have good specificity and sensitivity, data similar to that obtained by Chen et al. (2006), in terms of effectiveness in predicting those who will drop out and those who will not. The users correctly classified in the models generated are in values ⁣⁣close to 70%, a result similar to that obtained by McDonald et al.…”

“…The third variable with more solid results is the return of receipts. The group of clients with more receipts returned due to non-payment increases the likelihood of leaving, as found in the study by Chen et al (2006). This result reveals the common practice of some clients, who do not perform the administrative procedures to unsubscribe, but cancel the payment in a systematic way until the centre has to generate the cancellation of the subscription due to a breach of the regulations.…”

A demand analysis for the Chinese Professional Baseball League 1990-2008

“…The CPBL reached its lowest attendance in 2000 with an average of just 1,676 spectators per game. Game attendance provides one of the major sales revenues for professional sports (Chen, Stotlar & Lin, 2009). Fluctuations in game attendance imply variations in ticket sales, which warrants the attention of professional franchises.…”

Measuring attendance: issues and implications for estimating the impact of free-to-view sports events

“…Previous studies on the topic of attendance at sports events have focused on a range of issues, including factors affecting attendance (Funk, Filo, Beaton and Pritchard, 2009;Lambrecht, Kaefer and Ramenofsky 2009); spectator motives for attending (Sack, Singh and DiPaolo, 2009); attendance profiling (Graham, 1992); perceptions of event attendees (Dale, van Iwaarden, van der Wiele and Williams, 2005) predicting audience numbers (Chen, Stotlar and Lin, 2009) and evaluation of impacts associated with attendance (Wood, 2005 Coca-Cola Championship club Charlton have admitted that they calculate match day attendances to include the number of season tickets soldregardless of whether the holders actually turned up or not... (Daily Mail, 2008) This is not an uncommon practice for estimating attendance and there are numerous other examples of football clubs calculating attendance on the number of tickets sold rather than those passing through the turnstiles. Moreover, there are examples of other pay-to-view events at which spectator attendance has also been somewhat exaggerated, including Formula 1 Grand Prix events and county cricket matches in England:…”

“…This is a methodological issue that has received limited consideration in academic literature. Previous studies on the topic of attendance at sports events have focused on issues such as factors affecting attendance (Funk et al, 2009;Lambrecht et al, 2009), spectator motives for attending (Sack et al, 2009), attendance profiling (Graham, 1992), perceptions of attendees (Dale et al, 2005), predicting audience numbers (Chen et al; and evaluation of impacts associated with attendance (Wood, 2005). However, there appears to be a genuine gap in knowledge about the processes involved in estimating attendance figures at free-to-view events.…”