Who Writes PredictionScout
PredictionScout is written by Arthur Angelo, our Prediction Markets Analyst.
Arthur got interested in prediction markets because they turn opinions about politics, economics, and big events into something you can measure. That curiosity turned into a habit of comparing prices, fees, rules, and liquidity across platforms to see where the real differences were. He now writes the platform reviews, comparisons, and guides on this site and keeps the data behind them up to date.
Why This Site Exists
Prediction markets went mainstream fast. In 2024 and 2025 Kalshi won its case against the CFTC, Polymarket handled billions of dollars in election trading, and FanDuel and DraftKings moved into the space. If you were new to all this, though, there was no easy place to get a straight answer about which platforms are legal where you live, what they really cost, and how they compare. There was plenty of hype and plenty of affiliate listicles, but no review site that published its scoring rules.
PredictionScout exists to fill that gap: clear, honest comparisons built on one consistent, public methodology, written so that someone placing their first trade can follow along.
More about what Arthur covers and how he works is on his author page.
What PredictionScout Is
An independent review and comparison site for prediction market platforms. Think of it as the NerdWallet of prediction markets — we test the platforms, score them using a published methodology, explain the mechanics, and help you decide if and where to trade.
We are not a gambling site. We are not a news site. We are not affiliated with any prediction market platform’s editorial or product team. We’re the independent guide.
The Trust Statement
Every platform we review, we use. Every score we assign, we explain. Every recommendation we make, we disclose whether we earn a commission. If a platform is bad, we say so — even if they’re paying us.
That’s not marketing language. It’s an operational commitment. Here’s how it works in practice:
- Every review follows the same 9-category scoring methodology with defined rubrics
- Scores are transparent — the criteria are public, the weights are public, the rubric definitions are public
- If you disagree with a score, you can point to the rubric and tell us where we got it wrong
- Affiliate relationships are disclosed at the top of every review, not buried in a footer
- Rankings reflect methodology scores, not commission rates
Editorial Principles
These are non-negotiable. They govern every piece of content on this site.
- We never recommend a platform we haven’t researched thoroughly. Every review is built on public fee schedules, regulatory filings, user review analysis across Trustpilot, BBB, Reddit, and App Store data, and community research.
- Affiliate relationships are disclosed at the top of every review, not buried in a footer. You know how we make money before you read the first paragraph.
- Platform limitations get equal space to strengths. Read our Kalshi review — the highest-scoring platform on the site — and you’ll find extensive coverage of its withdrawal problems (5.0/10) and customer support failures (4.0/10). That’s not an accident.
- Content is updated when platforms change. Regulatory changes within 48 hours. Fee changes, feature changes, and significant user experience changes within one week.
- Rankings reflect methodology scores, not commission rates. If a platform pays us well and scores poorly, the poor score gets published. If a platform doesn’t pay us and scores well, it still gets recommended.
- Risk warnings are integrated into content, not CYA disclaimers. You won’t find a page of legal boilerplate at the bottom. You’ll find risk context woven into the sections where it’s relevant.
- No political predictions or opinions. We cover prediction market mechanics for elections. We don’t tell you who will win. Ever.
- We cover platform failures and problems as prominently as launches. The Kalshi NFL payout controversy (January 2026), the Polymarket security breach (December 2025), the FanDuel/Nevada gaming license dispute — these are documented in our reviews because they affect your trust assessment.
How We Make Money
PredictionScout earns revenue through affiliate partnerships with prediction market platforms. When you click a link to a platform and open a funded account, we may earn a commission.
That’s the business model. Here’s what it does and doesn’t mean:
What it means:
- We have a financial incentive for you to open accounts on the platforms we review
- We disclose this relationship at the top of every review and comparison page
- The specific commission structure for each platform is noted in its review
What it doesn’t mean:
- Platforms cannot pay for higher scores or placement in rankings
- Commission rates do not factor into our scoring methodology
- We publish reviews of platforms that don’t have affiliate programs (and say so)
- A platform offering us a better deal doesn’t change its score
For full details, see our Affiliate Disclosure.
How We Review Platforms
Every platform is evaluated across 9 weighted categories:
| Category | Weight | Why This Weight |
|---|---|---|
| Regulatory Status & Fund Safety | 20% | If your money isn’t safe, nothing else matters |
| Fees & Costs | 15% | Direct impact on every trade |
| Market Selection | 15% | Can you trade what you came here for? |
| Liquidity & Execution | 15% | Can you actually trade at the prices shown? |
| Withdrawal Experience | 10% | The moment of truth — getting money out |
| User Experience | 10% | Matters most for beginners |
| Deposit & Funding Options | 5% | How you get money in |
| Customer Support | 5% | When things go wrong |
| Tax & Reporting Tools | 5% | Overlooked pain point for active traders |
Each category has a defined rubric with score ranges (1–10) and specific criteria for each range. The full framework, rubric definitions, testing protocol, and anti-gaming protections are published on the Methodology page.
Scores are updated when platforms make meaningful changes. Every update is logged with the date and reason.
Contact
Questions, corrections, or platform suggestions are welcome. The fastest way to reach us is the contact page. If you spot a number that looks wrong, please tell us: we check it against the primary source and publish the correction if it holds up.
If you’re a platform operator interested in being reviewed, read the Methodology page first. Reviews are prioritized by US availability, regulatory status, and user volume. We don’t accept payment to expedite or influence reviews.
Common Questions
Who runs PredictionScout?
PredictionScout is written by Arthur Angelo, our Prediction Markets Analyst. He writes the reviews, comparisons, and guides and maintains the data behind them. More in the Who Writes PredictionScout section above and on his author page.
How does PredictionScout make money?
Through affiliate partnerships with prediction market platforms. When you click a link and open a funded account, we may earn a commission. Rankings and scores are determined by our published methodology — platforms cannot pay for higher placement. Full details in our Affiliate Disclosure.
Can I trust PredictionScout reviews?
Every review follows the same published scoring methodology with defined rubrics across 9 categories. The criteria, weights, and rubric definitions are all public. If a platform scores poorly, that score gets published regardless of affiliate relationship. The Methodology page documents the full framework, including anti-gaming protections.