Multigame Analysis in Hudl Sportscode

Multigame Analysis in Hudl Sportscode

The lat­est release of Hudl Sportscode includes the first phase of excit­ing new fea­tures around multi­game analysis.

Long-term users know Sportscode can be used live for mak­ing tac­ti­cal adjust­ments and across the course of a sea­son for both match analy­sis and play­er recruitment.

Databasing has always been the cor­ner­stone of this analy­sis. It’s been a great mech­a­nism for col­lat­ing moments of inter­est from mul­ti­ple games, either for fur­ther analy­sis, pre­sen­ta­tions or shar­ing to oth­er mem­bers of your team.

However, like some oth­er lega­cy work­flows in Sportscode ver­sion 11, data­bas­ing hasn’t kept up with the grow­ing need for analy­sis of larg­er data sets. The per­for­mance of data­bas­ing has been accept­able for prepar­ing a scout­ing report of sim­ple sta­tis­tics across a few games. But now that teams are incor­po­rat­ing more data from third-par­ties, and mak­ing more use of Sportscode for recruit­ment and ana­lyt­ics, accept­able no longer cuts it.

Hudl Sportscode takes multi­game analy­sis to the next lev­el — both in terms of per­for­mance and insight. A Sportscode data­base now has a dis­tinct pack­age struc­ture that is opti­mised for fast analy­sis across a whole sea­son, rather than it just being a sim­ple video pack­age. You can view and edit stand­alone and ref­er­ence data­bas­es as a table, sim­i­lar to a sorter, which makes for sim­pler edit­ing of labels and notes.

For those who use data­bas­ing sim­ply to remove unwant­ed dead” time, this fea­ture will also be avail­able in a future release. 

The new find fea­ture now pro­vides dynam­ic feed­back as you build up your query. The moment you spec­i­fy your data source, it pro­vides a list of clips that updates as you mod­i­fy your search cri­te­ria. Those famil­iar with moments fil­ter­ing on Hudl​.com will recog­nise the pow­er­ful yet sim­ple graph­i­cal inter­face, which allows coach­es, ana­lysts and video coor­di­na­tors to quick­ly find rel­e­vant instances. It also finds them faster than in ver­sion 11, and per­forms bet­ter across a larg­er num­ber of games.

The first release of multi­game analy­sis pro­vides a plat­form for future enhance­ments, such as tex­tu­al query lan­guage for more com­plex search­ing (includ­ing numer­ic val­ues in a range) and the abil­i­ty to save and reuse search­es. It also lays the foun­da­tion for the much-request­ed abil­i­ty to exe­cute an out­put win­dow across a fold­er of match­es, remov­ing the need for time-con­sum­ing work­flows involv­ing data­bas­ing and com­bin­ing time­lines. As the Sportscode, Hudl, DVMS and Wyscout plat­forms become more con­nect­ed, you’ll have oppor­tu­ni­ties to do large-scale analy­sis that com­bines the pow­er of Sportscode script­ing with the world’s largest repos­i­to­ry of video and data for sport.

The roll­out of multi­game analy­sis starts with basic data­bas­ing and find func­tion­al­i­ty in late August. More fea­tures will become avail­able via biweek­ly updates in the com­ing months.

You can now down­load the lat­est ver­sion of Hudl Sportscode.