Source domain profile · Other observed source

BetTimes in the Machine Relations Index

bettimes.io appeared as a cited source in 1 of 39,509 monitored answer runs (under 0.01%) from May 10, 2026 to November 14, 2026.

Source site Markdown Public JSON

Citation rateunder 0.01%

1 cited run of 39,509 observed answer runs.

Days cited1/182

Days with a citation, of the days observed in the current release window.

Engine breadth1

ChatGPT. This is an observed-engine list, not a per-engine rate.

ConfidenceCollecting

MRI confidence is not an Answer-Source Fidelity grade.

Standing

Population ranks from the public release

Public standing: Collecting: no rank until it clears the evidence floor
Full universe: Not ranked in this release
Source role population: Not ranked in this release
Evidence-qualified source role: Not ranked in this release

Segment evidence

Observed category and question-shape rows

Segment rates use that category and question shape only. A row still collecting shows how many runs have been measured. A dash means no measured runs yet.

Category	Question shape	State	Cited runs	Observed runs	Run dates	Rate	Rank population	Badge
iGaming & Betting	Is it worth it	Published	1	220	12	0.45%	#158 of 249	Badge

Published segments: 1. Collecting segments: 0.

Citation record

One cited run

bettimes.io has been cited in one monitored answer run, on September 29, 2026, by ChatGPT, in answers to iGaming & Betting / Is it worth it questions. Other sources cited for iGaming & Betting questions are on the iGaming & Betting sources page.

Peers

Nearest sources on iGaming & Betting / Is it worth it

BetTimes holds its best segment rank, #158 of 249, in iGaming & Betting / Is it worth it, at 0.45%. 99 sources on that leaderboard share that rate, and their order inside the tie is not a measured difference. Listed here: the nearest sources cited more and less often than it, and the sources beside it that share this best segment. Full leaderboard.

Rank	Source	Source role	Segment citation rate	Against this source
#101 of 249	altenar.com	Other observed source	0.91%	+0.46 pts
#102 of 249	arxiv.org	Academic and government source	0.91%	+0.46 pts
#103 of 249	betacr.eu	Other observed source	0.91%	+0.46 pts
#104 of 249	betgo.digital	Other observed source	0.91%	+0.46 pts
#105 of 249	Bloomberg	Editorial publication	0.91%	+0.46 pts
#106 of 249	casino-business-models.com	Other observed source	0.91%	+0.46 pts
#156 of 249	andysowards.com	Other observed source	0.45%	Same rate
#159 of 249	bettinglab.co	Other observed source	0.45%	Same rate

Cite this

Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. BetTimes (bettimes.io), under 0.01% citation rate, 1 of 39,509 monitored answer runs, 2026-05-10 to 2026-11-14. Release mri_score_v2.1+2026-11-14+a5e5e37df8da. CC BY 4.0. https://machinerelations.ai/index/domains/bettimes.io

APA

Parrott, J. (2026). BetTimes (bettimes.io) in the Machine Relations Index (Version mri_score_v2.1+2026-11-14+a5e5e37df8da) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/bettimes.io https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mribettimesio,
  author = {Parrott, Jaxon},
  title = {BetTimes (bettimes.io) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-14+a5e5e37df8da},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/bettimes.io},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0},
  note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai}
}

CITATION.cff

Release and boundary

What this profile measures

Published November 14, 2026. The observation window runs May 10, 2026 to November 14, 2026. Methodology v2.1.

Use the data

curl -fsSL "https://machinerelations.ai/data/machine-relations-index.json" -o machine-relations-index.json
curl -fsSL "https://machinerelations.ai/data/mri-release-manifest.json" -o mri-release-manifest.json
curl -fsSL "https://huggingface.co/datasets/machine-relations/machine-relations-index/resolve/main/domains.csv" -o domains.csv
curl -fsSL -L "https://doi.org/10.5281/zenodo.23652423" -o mri-zenodo.html

import json
from urllib.request import urlopen

index_url = "https://machinerelations.ai/data/machine-relations-index.json"
with urlopen(index_url) as response:
    index = json.load(response)
print(index["generated"], index["total_domains"])

The public dataset reports citation rates, rankings, and evidence counts. It excludes internal query identifiers, raw cited URLs, and answer-engine provider payloads. MRI measures observed root-domain citations in monitored prompts, not all AI answers, recommendation quality, web traffic or commercial performance. A citation is not source support.

Embed

Embed this profile’s badge

Put this badge on your site to show how often AI answers cite it. It links to this profile and updates with every new release; if a later release no longer includes this domain, the badge stops loading. To keep today’s numbers fixed, save the SVG and host it yourself.

HTML

<a href="https://machinerelations.ai/index/domains/bettimes.io"><img src="https://machinerelations.ai/index/domains/bettimes.io/badge.svg" alt="BetTimes in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 39,509 runs), Nov 14, 2026 release. Machine Relations Research." width="385" height="64"></a>

Markdown

[![BetTimes in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 39,509 runs), Nov 14, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/bettimes.io/badge.svg)](https://machinerelations.ai/index/domains/bettimes.io)