---
title: "The 2017 Soccer Prediction Challenge: papers citing it"
description: "5 papers in the tracked journals link to the OSF dataset The 2017 Soccer Prediction Challenge in their Crossref records, the first in 2018; most of them (4) in 2018."
url: https://scholar4ai.com/code/osf-ftuva
markdown_url: https://scholar4ai.com/code/osf-ftuva.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "5 papers in the tracked journals link to the OSF dataset The 2017 Soccer Prediction Challenge in their Crossref records, the first in 2018; most of them (4) in 2018. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# The 2017 Soccer Prediction Challenge: papers linking to it

Research papers in the 480 tracked journals that link to The 2017 Soccer Prediction Challenge (https://osf.io/ftuva/), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

- OSF
- Text
- 2017
- https://osf.io/ftuva/

All repositories: https://scholar4ai.com/code.md

## Key findings

- 5 papers in the tracked journals link to the OSF dataset The 2017 Soccer Prediction Challenge in their Crossref records, the first in 2018; most of them (4) in 2018.
- By category: AI (5); the journals with the most are Machine Learning (4) and Expert Systems with Applications (1).
- 4 of the papers build on one another: a later paper cites an earlier one that also links The 2017 Soccer Prediction Challenge.

## By year

*Papers linking to The 2017 Soccer Prediction Challenge by publication year*

| Year | Papers |
|---|---:|
| 2018 | 4 |
| 2026 | 1 |

## Journals

*Journals whose papers link to The 2017 Soccer Prediction Challenge most*

| Journal | Papers |
|---|---:|
| [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 4 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Dolores: a model that predicts football match outcomes from all over the world](https://doi.org/10.1007/s10994-018-5703-7) (Machine Learning, 2018)
  - [The Open International Soccer Database for machine learning](https://doi.org/10.1007/s10994-018-5726-0) (Machine Learning, 2018) — cites the paper above
- [Modeling outcomes of soccer matches](https://doi.org/10.1007/s10994-018-5741-1) (Machine Learning, 2018)
  - [Guest editorial: special issue on machine learning for soccer](https://doi.org/10.1007/s10994-018-5763-8) (Machine Learning, 2018) — cites the paper above

## Papers

*Papers linking to The 2017 Soccer Prediction Challenge, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2018-05-03 | [Dolores: a model that predicts football match outcomes from all over the world](https://doi.org/10.1007/s10994-018-5703-7) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Anthony Costa Constantinou | 84 | cites it |
| 2018-07-10 | [The Open International Soccer Database for machine learning](https://doi.org/10.1007/s10994-018-5726-0) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Werner Dubitzky, Philippe Lopes, Jesse J. Davis et al. | 61 | cites it |
| 2018-08-01 | [Modeling outcomes of soccer matches](https://doi.org/10.1007/s10994-018-5741-1) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Alkeos Tsokos, Santhosh Narayanan, Ioannis Kosmidis et al. | 41 | cites it |
| 2018-10-05 | [Guest editorial: special issue on machine learning for soccer](https://doi.org/10.1007/s10994-018-5763-8) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Daniel Berrar, Philippe Lopes, Jesse J. Davis et al. | 35 | cites it |
| 2026-03-05 | [Predicting football outcomes and quantifying team strengths with Bayesian modeling](https://doi.org/10.1016/j.eswa.2026.131862) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Tomasz Górecki, Bartłomiej Grzelak, Krzysztof Dyczkowski | 3 | cites it |

## How this is measured

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

## Cite this page

Scholar4AI. (2026). The 2017 Soccer Prediction Challenge: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/osf-ftuva

```bibtex
@misc{scholar4ai-code-osf-ftuva,
  author = {{Scholar4AI}},
  title = {The 2017 Soccer Prediction Challenge: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/osf-ftuva}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).