Evidence map›Paper›PMID 39006355›Full record

ArticleData in brief2024

Match score dataset for team ball sports.

Thaksheel Alleck, Tommaso Giovannelli, Luis Nunes Vicente, Roman Mitchell, Ori Remen

Abstract read
In one paragraph

Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Thaksheel AlleckDepartment of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA 18015-1582, USA.
Tommaso GiovannelliDepartment of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA 18015-1582, USA.
Luis Nunes VicenteDepartment of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA 18015-1582, USA.
Roman MitchellDepartment of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA 18015-1582, USA.
Ori RemenDepartment of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA 18015-1582, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this data article, we present a dataset containing match scores from major international competitions for 12 popular team ball sports: basketball, cricket, field hockey, futsal, handball, ice hockey, lacrosse, roller hockey, rugby, soccer, volleyball, and water polo. The dataset was obtained by web scraping data available on Wikipedia pages and includes the following information related to individual matches: the year of the competition edition when a match occurred, the names of the two opposing teams, their respective scores, and the name of the winning team. Our match score dataset provides researchers in the field of sports analytics with valuable data that can be used to compute team statistics, develop team ranking and rating systems, infer patterns and trends in a team's performance across the edition years, build predictive models to forecast the outcome of future matches, and evaluate the performance of machine learning algorithms.

Indexed as

Match scoresSports analyticsTeam ball sports

Identifiers

PMID39006355
PMCPMC11239472

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.