--- title: "BetTimes in the Machine Relations Index" description: "bettimes.io appeared as a cited source in 1 of 39,509 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-14." canonical: "https://machinerelations.ai/index/domains/bettimes.io" --- # 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 2026-05-10 to 2026-11-14. Canonical URL: https://machinerelations.ai/index/domains/bettimes.io Canonical domain: bettimes.io Source role: Other observed source Release mri_score_v2.1+2026-11-14+a5e5e37df8da; methodology mri_score_v2.1; generated 2026-11-14; window 2026-05-10 to 2026-11-14; artifact 90bc78b19db1. ## Overall Evidence - Citation rate: under 0.01% - Cited runs: 1 of 39,509 - Days cited: 1 of 182 - Engine breadth: 1 observed engine (chatgpt) - Confidence: Collecting - Standing: Collecting: no rank until it clears the evidence floor ## Observed Segments | Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing | |---|---|---|---:|---:|---:|---:|---| | [iGaming & Betting](https://machinerelations.ai/index/categories/igaming-betting) | [Is it worth it](https://machinerelations.ai/index/categories/igaming-betting/is_x_worth) | published | 1 | 220 | 12 | 0.45% | #158 of 249 | ## Citation Record 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: https://machinerelations.ai/index/categories/igaming-betting ## Peers 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. Leaderboard: https://machinerelations.ai/index/categories/igaming-betting/is_x_worth | Rank | Source | Source role | Segment citation rate | Against this source | |---|---|---|---:|---| | #101 of 249 | [altenar.com](https://machinerelations.ai/index/domains/altenar.com) | Other observed source | 0.91% | +0.46 pts | | #102 of 249 | [arxiv.org](https://machinerelations.ai/index/domains/arxiv.org) | Academic and government source | 0.91% | +0.46 pts | | #103 of 249 | [betacr.eu](https://machinerelations.ai/index/domains/betacr.eu) | Other observed source | 0.91% | +0.46 pts | | #104 of 249 | [betgo.digital](https://machinerelations.ai/index/domains/betgo.digital) | Other observed source | 0.91% | +0.46 pts | | #105 of 249 | [Bloomberg](https://machinerelations.ai/index/domains/bloomberg.com) | Editorial publication | 0.91% | +0.46 pts | | #106 of 249 | [casino-business-models.com](https://machinerelations.ai/index/domains/casino-business-models.com) | Other observed source | 0.91% | +0.46 pts | | #156 of 249 | [andysowards.com](https://machinerelations.ai/index/domains/andysowards.com) | Other observed source | 0.45% | Same rate | | #159 of 249 | [bettinglab.co](https://machinerelations.ai/index/domains/bettinglab.co) | Other observed source | 0.45% | Same rate | ## 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 ```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} } ``` DOI: https://doi.org/10.5281/zenodo.23652423 Citation file: https://machinerelations.ai/CITATION.cff ## Badge Badge image: https://machinerelations.ai/index/domains/bettimes.io/badge.svg [![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) 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. ## Use the data The public JSON is https://machinerelations.ai/data/machine-relations-index.json. The release manifest is https://machinerelations.ai/data/mri-release-manifest.json. The domain CSV is https://huggingface.co/datasets/machine-relations/machine-relations-index/resolve/main/domains.csv. The Zenodo concept DOI is https://doi.org/10.5281/zenodo.23652423. ```bash 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 ``` ```python 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"]) ``` ## Public Boundary 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; it does not measure all AI answers, recommendation quality, website traffic, or commercial performance. A citation does not prove source support, and MRI confidence is not an Answer-Source Fidelity grade. ## Related Sources - [Machine Relations Index](https://machinerelations.ai/index) - [Public JSON artifact](https://machinerelations.ai/data/machine-relations-index.json) - [Release manifest](https://machinerelations.ai/data/mri-release-manifest.json)