Original data visualization | SoccerScope v1.0.0

41 Days of World Cup Emotion:
YouTube Sentiment Toward Every National Team

Published: July 21, 2026 Coverage: June 11–July 21, 2026 All 48 tournament teams
WB
Research, data collection and analysis
Webbigdata Live streaming Data Research Institute / TubeSaku

TubeSaku is the dataset provider. The project combines cross-country YouTube trend collection, comment analysis and public data exploration. About the research team →

This visualization follows how YouTube discussion around all 48 national teams changed across the 41 days of the 2026 FIFA World Cup. Bubble size represents the number of comments mentioning a team, while color represents the balance between positive and negative sentiment. Official match results are aligned to the same daily timeline.

Download the official dataset → Hugging Face configurations for daily snapshots, videos and matches Explore the daily SoccerScope pages → Browse individual collection dates and ranked videos Ask the SoccerScope report agent → Search and question the dataset through the TubeSaku agent Open the fixed v1.0.0 archive → Permanent Zenodo record and DOI

Shareable summary

TubeSaku's SoccerScope project visualized 41 days of YouTube sentiment toward all 48 national teams at the 2026 FIFA World Cup. The underlying dataset contains 41 daily snapshots, 783 ranked video records, 104 official matches and 767,361 analyzed comments from a YouTube search panel covering 47 countries. Source: TubeSaku, “SoccerScope: FIFA World Cup 2026 YouTube Trends Dataset.” https://tubesaku.com/research/world-cup-2026-youtube-sentiment/
Citation and license
41
daily snapshots
48
tournament teams shown
47
countries in the YouTube search panel
104
official tournament matches
783
ranked video records
767,361
comments used for sentiment analysis, summed across days

The visualization

Bubble heatmap showing daily YouTube sentiment toward all 48 national teams during the 2026 FIFA World Cup
Bubble area represents national-team mentions. Blue indicates more positive than negative comments; red indicates more negative than positive comments. ▲ marks a win, ◆ a draw and ▼ a loss. Teams are ordered by final tournament result.

How to read the chart

Net sentiment = (positive comments − negative comments) / team mentions

Three visible shifts in the tournament

1 Spain’s title created an immediate positive wave

Spain defeated Argentina 1–0 after extra time in the final. In the July 21 snapshot, Spain reached a net sentiment score of +98.6 across 3,872 team mentions. The large blue bubble at the end of Spain’s row captures both the scale of attention and the strongly positive response.

2 Argentina’s sentiment reversed after the final

Argentina’s recorded net sentiment fell by approximately 93 points in one day between July 20 and July 21. This should not be read as a survey of Argentine supporters. Rival fans, neutral viewers, player-specific criticism and the mix of videos appearing in search can all affect the daily result.

3 Korea Republic experienced one of the sharpest swings

Korea Republic moved from +98.4 on June 16 to −96.9 on June 26. The shift illustrates how match outcomes, coaching debates, player criticism and changes in the daily video set can rapidly transform the online environment around a team.

Why are 48 teams shown but only 47 countries searched?

The chart includes every tournament team. The YouTube search panel covers 47 countries because YouTube does not offer Scotland as a selectable region or language in the settings used by this project.

Scotland can still appear as a team mentioned in comments and is included in the visualization. What could not be performed was a dedicated Scotland-region or Scotland-language YouTube search.

Teams displayed
48
All tournament participants
Search countries
47
Available country settings used for collection
Scotland
Shown
Detected as a team, but not used as its own search region or language

How the data was produced

TubeSaku collected World Cup-related YouTube search results across countries each day. The raw collection used the YouTube Data API for search, metadata and comments. Gemini was then used for comment sentiment analysis and short bilingual narration. Published rows were generated from the daily stats.json files used by the public SoccerScope pages.

Daily snapshots
41 rows, one per collection day from June 11 through July 21, 2026.
Ranked videos
783 rows. A video was retained when it appeared in the daily top-by-views and/or top-by-reach rankings.
Official matches
All 104 tournament matches, compiled from the FIFA World Cup 2026 Competition Summary, Version 34, published July 19, 2026 at 22:04 UTC.
Sentiment fields
Positive, neutral and negative comment counts, together with frequently occurring positive and negative themes.
Versioning
The reproducible release is tagged v1.0.0 on Hugging Face and permanently archived through Zenodo DOI 10.5281/zenodo.21466996.

Important limitations

The downloadable visualization table contains one row for every combination of 48 tournament teams and 41 collection days. Missing sentiment values mean that the team did not enter that day’s ten most-mentioned teams; they must not be interpreted as confirmed zero mentions.

Data access and related services

Frequently asked questions

What does a blank cell mean?
Each daily snapshot retains the ten most-mentioned teams. A blank means that the team did not enter that day’s top ten, not that discussion was necessarily absent.
Does the chart show what each country thinks about its own team?
No. Comments can come from supporters, opponents and neutral viewers in many countries. The chart measures the overall YouTube discussion environment around a team.
Why is Scotland included if Scotland was not a search country?
All 48 tournament teams are included. Scotland could be detected as a team mentioned in comments, but YouTube did not provide a dedicated Scotland region or language setting for the searches used here.
Can the chart and aggregated data be reused?
Yes. The aggregated statistics, derived analysis and this compilation are published under CC BY 4.0. Attribute TubeSaku and link to this page or the official dataset.

Citation and reuse

The aggregated statistics, derived analysis and visualization may be reused under CC BY 4.0. Please identify TubeSaku as the dataset provider.

Short attribution

Dataset BibTeX

@dataset{soccerscope_worldcup2026_v1_0_0,
  author    = {{TubeSaku}},
  title     = {{SoccerScope: FIFA World Cup 2026 YouTube Trends Dataset}},
  year      = {2026},
  version   = {1.0.0},
  publisher = {{Zenodo}},
  doi       = {10.5281/zenodo.21466996},
  url       = {https://doi.org/10.5281/zenodo.21466996},
  note      = {{Research and analysis by Webbigdata Live streaming Data Research Institute, operator of TubeSaku.}}
}
License scope

CC BY 4.0 applies to the aggregated statistics, derived analysis and this compilation. Match scores and outcomes are factual records compiled from FIFA’s official competition summary. Underlying YouTube content is not relicensed by this project.

About TubeSaku

TubeSaku provides YouTube trend research, creator tools and public datasets. SoccerScope was created and published by Webbigdata Live streaming Data Research Institute, operator of TubeSaku.