Nav: Home

The science of team sports

December 03, 2018

What makes a team successful? This is not only a crucial question for football coaches, it plays a role in almost all areas of life, from corporate management to politics. It goes without saying that a team can only win if the team members have the necessary skills. But there is another important element: joint successes in the past increase the chances of winning. This effect shows up in a similar way in completely different team sports.

A research team from TU Wien (Vienna), Northwestern University (Evanston, USA), and the Indian Institute of Management (Udaipur) were able to statistically prove this phenomenon by analyzing large amounts of data in physical sports (football, baseball, cricket and basketball), and also in e-sports (namely the multiplayer online game "Dota 2"). The results have now been published in the renowned journal Nature Human Behaviour.

Skills are not everything

The research team collected extensive data on numerous teams from several sports. The strength of individual players was quantified using different parameters - for example in basketball, the number of points scored and the number of assists was taken into account. The strength of the team can then be calculated as the average strength of the players.

"This gives us a value that can predict the outcome of a game reasonably well," says Julia Neidhardt of the E-Commerce research unit (Institute for Information Systems Engineering, TU Wien, Vienna). She conducts research in the areas of team performance, user modeling and recommender systems. She does not only consider individuals, but also models their relationships, for example with the help of social network analysis. "Teams with better individual players have of course a higher chance of winning - but that's not the end of the story," says Neidhardt.

The team effect

In all the sports studied, the actual results of the games can be predicted even better by not only considering the average strength of the team members, but also taking into account how often they have been victorious together in the past. It is therefore not only important to bring the best possible stars to the field, they also have to gain experience together as a team by celebrating joint victories.

Especially in elite sports, where the skills of all involved professionals are extremely high, individual differences do not necessarily play the key role. As the differences in the skill levels decrease, common experience becomes more important.

It is particularly interesting that the effect was to be seen in very different sports: In football or in the e-sport "Dota 2", the team members permanently depend on each other. Most actions are performed by several players at the same time. In baseball, on the other hand, throwing and hitting the ball are individual actions that have nothing to do with the rest of the team. Nevertheless, the team effect can be seen in all these sports.

Robust result

There are different possible explanations for this: By training and playing together for a long time, the players become better at coordinating their actions and predicting their teammates' reactions, but there may also be strong psychological effects, when there is a strong emotional bond between the team players. The statistical data cannot conclusively answer the question which effect is more important. "We can see clearly that in the case of similar skill levels, prior shared success is a good predictor of which team is going to win", says Julia Neidhardt. "This effect is very robust, in a variety of sports. This leads us to suspect that similar effects also occur in other areas."
-end-
Contact:

Dr. Julia Neidhardt
Institute for Information Systems Engineering
TU Wien
T: +43-1-58801-188300
julia.neidhardt@tuwien.ac.at

Vienna University of Technology

Related Data Articles:

Data centers use less energy than you think
Using the most detailed model to date of global data center energy use, researchers found that massive efficiency gains by data centers have kept energy use roughly flat over the past decade.
Storing data in music
Researchers at ETH Zurich have developed a technique for embedding data in music and transmitting it to a smartphone.
Life data economics: calling for new models to assess the value of human data
After the collapse of the blockchain bubble a number of research organisations are developing platforms to enable individual ownership of life data and establish the data valuation and pricing models.
Geoscience data group urges all scientific disciplines to make data open and accessible
Institutions, science funders, data repositories, publishers, researchers and scientific societies from all scientific disciplines must work together to ensure all scientific data are easy to find, access and use, according to a new commentary in Nature by members of the Enabling FAIR Data Steering Committee.
Democratizing data science
MIT researchers are hoping to advance the democratization of data science with a new tool for nonstatisticians that automatically generates models for analyzing raw data.
Getting the most out of atmospheric data analysis
An international team including researchers from Kanazawa University used a new approach to analyze an atmospheric data set spanning 18 years for the investigation of new-particle formation.
Ecologists ask: Should we be more transparent with data?
In a new Ecological Applications article, authors Stephen M. Powers and Stephanie E.
Should you share data of threatened species?
Scientists and conservationists have continually called for location data to be turned off in wildlife photos and publications to help preserve species but new research suggests there could be more to be gained by sharing a rare find, rather than obscuring it, in certain circumstances.
Futuristic data storage
The development of high-density data storage devices requires the highest possible density of elements in an array made up of individual nanomagnets.
Making data matter
The advent of 3-D printing has made it possible to take imaging data and print it into physical representations, but the process of doing so has been prohibitively time-intensive and costly.
More Data News and Data Current Events

Trending Science News

Current Coronavirus (COVID-19) News

Top Science Podcasts

We have hand picked the top science podcasts of 2020.
Now Playing: TED Radio Hour

Listen Again: Reinvention
Change is hard, but it's also an opportunity to discover and reimagine what you thought you knew. From our economy, to music, to even ourselves–this hour TED speakers explore the power of reinvention. Guests include OK Go lead singer Damian Kulash Jr., former college gymnastics coach Valorie Kondos Field, Stockton Mayor Michael Tubbs, and entrepreneur Nick Hanauer.
Now Playing: Science for the People

#562 Superbug to Bedside
By now we're all good and scared about antibiotic resistance, one of the many things coming to get us all. But there's good news, sort of. News antibiotics are coming out! How do they get tested? What does that kind of a trial look like and how does it happen? Host Bethany Brookeshire talks with Matt McCarthy, author of "Superbugs: The Race to Stop an Epidemic", about the ins and outs of testing a new antibiotic in the hospital.
Now Playing: Radiolab

Dispatch 6: Strange Times
Covid has disrupted the most basic routines of our days and nights. But in the middle of a conversation about how to fight the virus, we find a place impervious to the stalled plans and frenetic demands of the outside world. It's a very different kind of front line, where urgent work means moving slow, and time is marked out in tiny pre-planned steps. Then, on a walk through the woods, we consider how the tempo of our lives affects our minds and discover how the beats of biology shape our bodies. This episode was produced with help from Molly Webster and Tracie Hunte. Support Radiolab today at Radiolab.org/donate.