REPOGEO REPORT · LITE
maksimhorowitz/nflscrapR
Default branch master · commit d203baa3 · scanned 6/7/2026, 11:07:33 PM
GitHub: 546 stars · 137 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface maksimhorowitz/nflscrapR, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Add a prominent deprecation notice to the README
Why:
COPY-PASTE FIX⚠️ **DEPRECATION NOTICE:** This package is no longer actively maintained and its core functionality is broken due to changes in the NFL.com API. Users are strongly encouraged to use `nflreadr`, `nflfastR`, or `nflverse-pbp` for current NFL data analysis.
- highlicense#2Add a LICENSE file to the repository
Why:
COPY-PASTE FIXCreate a `LICENSE` file in the repository root with the text of your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
- mediumtopics#3Add relevant topics to the repository
Why:
COPY-PASTE FIXr, nfl, football, data-scraping, sports-analytics, play-by-play, data-analysis
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- nflverse/nflreadr · recommended 1×
- nflverse/nflfastR · recommended 1×
- nflverse · recommended 1×
- DifferentiableProgramming/nfldata · recommended 1×
- rstudio/reticulate · recommended 1×
- CATEGORY QUERYHow can I programmatically access detailed NFL play-by-play data using R for analysis?you: #6AI recommended (in order):
- nflreadr (nflverse/nflreadr)
- nflfastR (nflverse/nflfastR)
- nflverse
- nfldata (DifferentiableProgramming/nfldata)
- reticulate (rstudio/reticulate)
- nflscrapR (maksimhorowitz/nflscrapR) ← you
Show full AI answer
- CATEGORY QUERYWhat R tools are available for extracting historical NFL game statistics and player performance metrics?you: #3AI recommended (in order):
- nflreadr
- nflfastR
- nflscrapR ← you
- sportr
- rvest
- httr
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenessfail
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of maksimhorowitz/nflscrapR?passAI named maksimhorowitz/nflscrapR explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts maksimhorowitz/nflscrapR in production, what risks or prerequisites should they evaluate first?passAI named maksimhorowitz/nflscrapR explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo maksimhorowitz/nflscrapR solve, and who is the primary audience?passAI named maksimhorowitz/nflscrapR explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of maksimhorowitz/nflscrapR. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/maksimhorowitz/nflscrapR)<a href="https://repogeo.com/en/r/maksimhorowitz/nflscrapR"><img src="https://repogeo.com/badge/maksimhorowitz/nflscrapR.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
maksimhorowitz/nflscrapR — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite