§ 00FAQ
Frequently asked questions.
Sportsbook desks first — that's who we sell to. Vendor-risk, integrators, press, and app users each have their own lane below.
§ 01For sportsbooks & integrity vendors
If the question is provenance, not picks.
What we sell, why the verification mechanism is structurally different, and how partner channels work.
What are you actually selling?
Tamper-evident prediction provenance — the property that a prediction existed at a verifiable timestamp, sealed against later edit. The picks themselves are the consumer product; the provenance is what makes them institutionally useful.
What does the 2026 beta include?
The full feed for the 2026 seasons — MLB live at restart, football and the rest as their seasons open. Every endpoint on the production surface, the terminal app for your desk by private distribution, direct access to the operator, and your own settled record at season's end — the same ledger receipts we publish.
What does a beta seat cost?
A fixed seasonal price, quoted in writing before you sign — no tiers, no usage games, no negotiation theater. The cohort is deliberately small; the price is deliberately simple. Email sales@splitwinner.com and you'll have the number in one reply.
How much integration effort is this?
The sandbox proves the whole shape before any contract: versioned /v1/* surface, Bearer key, OpenAPI as the contract, RFC 7807 errors. Most desks have a working pull in under an hour and a production integration in days — pull-and-cache, serve your stack from your own infrastructure.
What happens when the season ends?
You hold your own copy of everything the feed called, settled and checkable against the public ledger. Renew on the same fixed-price basis, renegotiate scope, or walk away with the record — the receipts are yours either way. That settled record is the sales pitch for year two; we'd rather earn the renewal than lock you in.
Why can't Sportradar or Genius offer this?
Their pipelines run on internal trust — you take their word that the data flow is clean. Ours is built on external proof: every prediction is anchored to Bitcoin via OpenTimestamps before kickoff, in a public repo nobody at our company controls. That's a structural difference, not a feature gap.
What's the verification mechanism?
SHA-256 content hash per prediction, daily OpenTimestamps anchor, upgraded weekly to a Bitcoin Merkle-path attestation, mirrored to a public GitHub repo. The verifier is pure-stdlib Python — clone the repo and it self-hashes for tamper-evidence.
Could you edit a prediction after the fact?
No. Database triggers reject UPDATE and DELETE on the predictions ledger at the engine level; the row is committed before kickoff and never moves. Once it's in, it's in.
Do you offer white-label or resale?
Selectively, for integrity-vendor and sportsbook-compliance partners. Categories and entry points by inquiry — email sales@splitwinner.com.
§ 02For compliance & enterprise
If you're running vendor risk on us.
Readiness posture, who runs the system, what's in the diligence packet — and what isn't.
What's your readiness posture?
Plainly: Integrity STRONG, Operations STRONG, Security STRONG, Quant rigor STRONG, Data compliance BASIC, Commercial BASIC. We disclose the BASICs in writing rather than dress them up. Full readiness scorecard available on request.
Who runs this?
Single-operator today, disclosed in OPERATIONS.md in the public audit_trail repo — key custody, hosting, backups, RTO/RPO, and known gaps stated. Not hidden, not minimized.
Has there ever been an integrity violation?
One — the 2026-05-24 anchor incident, disclosed under a 7-day protocol in audit_trail/incidents/. The immutability guard at the database level was what made it catchable rather than coverable. Disclosure is the policy, not the exception.
What's the diligence packet?
The public audit_trail repo plus METHODOLOGY.md is the technical packet. OPERATIONS.md answers most security-questionnaire questions. verify.py is the proof. We don't ship a private packet that contradicts the public one — they're the same documents.
What's the reproducibility scope?
Tamper-evidence is unconditional from the ledger's first row. End-to-end byte-reproduction of historical predictions is scoped — capture infrastructure is deployed on the live path; the historical harness is pending the first rows under it. Disclosed in METHODOLOGY.md, not hidden.
Do you have SOC2 or other certifications?
Not pursued at this stage. The position is that verifiable provenance plus a public methodology is a higher-bar artifact for institutional buyers than a generic certification; a certification roadmap can be discussed under MSA terms.
§ 03For B2B & API integrators
Building on top of SplitWinner.
What the v1 surface delivers, how to integrate, and what to expect from the contract.
What does the API actually deliver today?
Daily, pre-game predictions in JSON, published once each morning before kickoff. v1 cadence is locked at daily — game-level predictions, not real-time, not in-game. The same hardened feed the consumer app reads.
What sports and markets are covered?
Game-level only. Moneyline today, two spread models in production, more spread models adding next, totals on the roadmap. No player props, no in-game, no DFS in v1.
How do I integrate? What's the contract surface?
Versioned /v1/* surface, Bearer API key plus HMAC-signed requests, RFC 7807 problem+json errors, X-RateLimit-* headers, OpenAPI spec as the contract. The public verifier is part of the contract, not an extra.
Can I verify the predictions came from when you claim?
Yes. Every prediction carries an audit_trail row id and a content hash. Clone github.com/SplitWinner/audit_trail_alpha (the sealed alpha record), run verify.py against the day in question, check the Bitcoin attestation. Three steps, no special tooling, no contact with us required.
What's the uptime / SLA?
v1: 99.5% uptime, p95 latency under 500 ms on prediction endpoints.
§ 04For press & researchers
The receipts story, condensed.
What's printable, what's verifiable independently, and what we'll never claim.
What's the one-line thesis?
Records get faked. We built the opposite.
How is this different from every "AI picks" service?
The industry runs on unfalsifiable claims — screenshots, deleted losses, backdated winners. Ours are machine-checkable: every prediction is cryptographically committed at creation, anchored where we can't reach it, and publicly verifiable. We trade hype for receipts.
Can a journalist independently verify a claim?
Yes, in three steps. Clone github.com/SplitWinner/audit_trail_alpha — the sealed alpha record. Run verify.py against any sample. Check the Bitcoin attestations against the dates we claim. Pure-stdlib Python — no special tooling, no contact with us required.
How is the performance record kept honest?
Losses are published next to wins. The ledger is append-only at the database level so we can't quietly delete them. Backtests and live runs are kept separate — never blended — by hard-coded labels in the writer.
What about bootstrap models or pre-ledger history?
We register 16 bootstrap models as recovered=true in the public audit_models ledger — they predate the live anchor history and are flagged as such. The first anchored row marks the start of unimpeachable live capture. We don't pretend models that predate the ledger are part of the live record.
Will you guarantee accuracy?
No. No honest prediction service can. Sports outcomes carry real variance — anyone who guarantees is not being honest with you.
§ 05For bettors
If you're using the app.
How it works, how to verify it, and what to expect. Same answers we ship inside the app.
Trust & verification
How do I know your track record isn't faked?
This is the right question to ask — the industry is full of deleted losses and backdated winners. We built the system so we can't quietly delete a loss or backdate a win. Every live prediction is timestamped the moment it's generated and written to an append-only ledger; database rules reject any edit or deletion. Each day's ledger is then hashed and published to a public record that's timestamped onto the Bitcoin blockchain — an external clock we don't control. The win rates and results you see are computed from that same ledger, losses included.
What is the public ledger, and how does anchoring work?
Three layers. An append-only database stores every prediction with a SHA-256 fingerprint — edits and deletes are rejected at the engine level. Each day the ledger is hashed and published to a public ledger and anchored onto the Bitcoin blockchain via OpenTimestamps — an independent timestamp that doesn't rely on us or GitHub. The alpha record is sealed at github.com/SplitWinner/audit_trail_alpha. The methodology and the verifier are open and public.
How do I know a pick was made before the game, not after?
The timestamp is external and can't be moved. A live prediction is recorded the moment the morning model run produces it — before that day's games — and that record is anchored publicly. On each pick you'll see an audit receipt with the recorded time. A pick recorded before kickoff is shown as a live call; anything evaluated after the fact is labeled a backtest, plainly. We never present a backtest as a live call.
How accurate are your predictions?
We publish rolling win rate and ROI in the app, computed from the same immutable ledger that anchors every pick — wins and losses included. Independent research on ML sports models reports accuracy roughly in the 55–68% range depending on sport and market; even a few points above the ~52.4% breakeven at -110 odds can be meaningful over a large sample. We will never claim 80%+ accuracy or guaranteed returns.
Do you guarantee profits?
No. No honest prediction service can. Sports outcomes carry real variance. SplitWinner identifies a statistical edge — spots where our models' probabilities differ from the market — and any value shows up in the aggregate over many predictions, not in any single pick. Past performance does not guarantee future results.
Why trust this over free picks on social media?
Free picks are usually one person's opinion, with no verifiable record and every incentive to show only winners. Some tout services even send opposite picks to different groups so half always appear to win. SplitWinner logs every prediction — wins and losses alike — in an append-only ledger that's publicly anchored, rather than relying on screenshots. The track record is computed from that ledger, not curated by hand.
What you get
What do I get with SplitWinner?
Daily ML predictions with confidence scores across NFL, NBA, MLB, NHL, NCAAF, and NCAAB. An audit receipt on every pick showing when it was recorded and anchored. Insights — win rate, ROI, and performance analytics by model and by sport. SplitWinnerGPT — an AI assistant grounded in your predictions and the model's historical performance. Optional Kalshi integration to trade the model's markets from your own Kalshi account. SplitWinner is an analytics platform, not a picks-in-a-DM service.
How do I use a prediction?
Open the app's Today tab. Each prediction shows the model's pick, a confidence score, supporting context, and an audit receipt. Treat it as one input in your decision — not the only one. If you connect Kalshi, you can trade the model's markets from your own Kalshi account, right next to the pick. We don't place trades for you or hold your funds — every order is yours, sent directly to Kalshi, at your own risk.
What is SplitWinnerGPT?
An AI assistant grounded in your predictions and the model's historical performance. Ask it why a pick looks the way it does, how a sport has been trending, or what the track record shows. It's part of an active Daily Prediction pass.
Is SplitWinner a sportsbook? Can I place bets here?
No. SplitWinner is an analytics and prediction platform — we never accept wagers or hold your funds. The optional Kalshi integration lets you trade event contracts on Kalshi's own platform, a separate CFTC-regulated exchange. We provide the analysis; Kalshi handles execution and custody.
What's the difference between a prediction and a pick?
A pick is a person's opinion — "I like the Lakers tonight." A prediction is a model-generated probability with a confidence score, logged and scored against the outcome. No cherry-picking, no story — just results measured over a real sample.
The model
How does the model actually work?
A data pipeline ingests game data from verified sources and feeds a proprietary ML training-and-inference system. Models learn from historical data; predictions are conformal-calibrated against held-out outcomes so the confidence numbers carry a coverage guarantee, not a guess. The fuller breakdown is in the in-app methodology screen, and every production model is fingerprinted in the public ledger.
What data does the model use?
Historical game data, team and player statistics, schedule context, and other sport-specific features, updated on a recurring schedule. We're transparent about the approach but don't publish the exact features or how they're engineered — that's the part worth protecting.
Can AI really predict sports?
Not the future — edges. The model looks for spots where its probability diverges from the market's closing line. Independent research has reported ML models reaching roughly 55–68% accuracy across major leagues, above the ~52.4% breakeven at standard -110 odds. The edge is real but modest, and there's no magic. The value is disciplined, positive-expected-value decisions over many predictions — not one lucky weekend.
What happens when the model is wrong?
It happens regularly — no model wins them all. We publish losses next to wins because that's the only way trust is earned, and because the ledger makes hiding them impossible anyway. The value is in the aggregate: small, consistent edges over many predictions, if they hold up. Judge it by the published record.
Privacy & security
What personal data do you collect?
As little as possible. You sign in with Apple or Google, so we never see or store a password. We don't collect your SSN, banking details, or government ID. If you connect Kalshi, your Kalshi API key never leaves your device — it's stored in the device's secure keychain and used to sign requests locally. It is never sent to, logged by, or stored on SplitWinner's servers.
How is the app itself secured?
Several layers, on by default. The connection to our API is certificate-pinned, so a forged or intercepted certificate is rejected. Requests are cryptographically signed, so they can't be forged or tampered with in transit. The app checks for device-tampering signals (such as jailbreaking) and locks paid content on a compromised device. Crash and error reports never attach screenshots or your data in the released app. And the integrity tables behind your predictions are append-only at the database level — edits and deletes are structurally rejected.
Do you sell my data?
No. We don't sell your personal data, and we don't share it for anyone else's advertising. We rely on a small set of standard service providers — for sign-in, payments, analytics, and crash reporting — purely to operate the app.
Can other users see my activity?
No. Your predictions, activity, and account details are private. If you connect Kalshi, your positions, balances, and trade history are visible only to you.
The Daily Prediction pass
What am I buying with a Daily Prediction pass?
One drop. A pass unlocks that day's prediction in full — plus SplitWinnerGPT and the rest of the paid surface — through the next 5 AM ET rollover. It's sold as one prediction, not 24 hours. The window always ends at 5 AM ET, after even late West Coast games have settled, so you can see your slate's results. A late-night buyer pays for the same single drop.
Is it worth paying for?
That depends on your volume. A few points of edge only turn into meaningful returns at scale, so SplitWinner is built for serious bettors, not casual $5 parlays. You're paying for the whole surface — the prediction, the verifiable record, the analytics, and the AI assistant — not just a number. Review the track record before deciding.
What's your refund policy?
Passes are purchased through the App Store or Google Play, so refunds are handled by Apple or Google under their policies — not by SplitWinner directly. We'd encourage you to review the track record and the methodology screen before buying.
Legal & responsible use
Is SplitWinner legal? Is this gambling?
SplitWinner is an information and analytics platform, not a sportsbook — we don't accept wagers or hold funds. Providing sports analysis is an information service. SplitWinner itself isn't gambling; it's data-driven analysis, and how you use it is your decision. If you choose to trade on Kalshi, that happens on Kalshi — a CFTC-regulated exchange where those products are event contracts. This isn't legal advice; rules vary by location.
Are prediction markets available in my state?
Whether you can trade depends on Kalshi, which operates under federal CFTC oversight and is available in most US states, though some restrict certain contract types. Using SplitWinner's analysis isn't placing a bet. Check Kalshi's website for current state-by-state availability.
Do I owe taxes on profits?
SplitWinner doesn't give tax advice. In the US, prediction-market profits and betting winnings are generally taxable income, and Kalshi provides its users with tax forms (such as a 1099). Consult a qualified tax professional for your situation.
What about responsible gambling?
SplitWinner isn't a sportsbook and doesn't place trades or hold your money — if you trade, it's through your own Kalshi account, where you set your own limits, and every order is yours at your own risk. We show analysis, not pressure: no manufactured urgency, no guaranteed winners, no upsells. Bet only what you can afford to lose, and if it stops being fun, step away.
Where can I get help with problem gambling?
If you or someone you know is struggling, contact the National Council on Problem Gambling at 1-800-522-4700 (call or text, 24/7) or visit ncpgambling.org. Most states also offer self-exclusion programs through their gaming commissions.
Didn't see your question?
- Strategic partnerships, equity, affiliate or media — sales@splitwinner.com.
- Press — press@splitwinner.com.
- Security disclosures — security@splitwinner.com.
- App and billing — support@splitwinner.com.
Sandbox first. Then the beta.
A key in minutes — the full API surface, mocked plausibly-live, no card, no NDA. When it holds up on your desk, the 2026 beta cohort is a direct conversation: a limited set of desks, a fixed seasonal price in writing.
No card · no NDA · fixed price in writing