Risk dashboard for sportsbooks and prop traders that detects sharp/informed action against their lines in real-time, powered by proprietary historical line and CLV data. · Sports Trading Intelligence
DEAD SLOW · CAUTIOUS
6.0 ShipScore / 10
Real data moat possible; control weak — odds feeds owned by rights holders.
Condition: Land two paying sportsbook or prop-desk pilots at $1k+/mo before building the full data pipeline.
Part I — The Verdict what the instruments read
01 — The ShipScore breakdown
Control
5
C5 — depends on book odds feeds/scraping; Genius-Sportradar rights concentration
Entry barriers
6
E6 — accumulated line/CLV history is hard to backfill; no funded rival tracked
Need
6
N6 — only Subbasta $3k MRR; B2B risk tooling established but unevidenced here
Time-freedom
7
T7 — SaaS dashboard, but real-time data ops and enterprise sales drag
Scale
6
S6 — global, yet buyer pool is few hundred books plus niche prop traders
What the five commandments measure
C — Control
Do you own the customer, or does a gatekeeper stand between you and revenue?
E — Entry
How hard is this to copy once it works? A rival's existence isn't the question — the durability of their advantage is.
N — Need
Is demand proven with money rather than vibes?
T — Time
Can income detach from your hours, or did you buy yourself a job?
S — Scale
How far does it reach without linear cost?
Scored on the evidence below, against CENTS as we've adapted it plus a Buffett-style moat reading of every rival — the same referee for every idea, including the ones we generate ourselves. The verdict follows the arithmetic: we never relabel a score to make it read better, and the weakest commandment is always named. The exact rubric stays in-house so the scale can't be written for.
02 — The pace test — $1M/yr
At $1000/mo (assumed category price), you need 84 subscribers for a $1M/yr pace.
Buyers are books and desks that often build risk tooling in-house
Odds data acquisition may breach book ToS or require expensive licensed feeds
Tiny buyer universe means every lost logo is material revenue
Consumer +EV tools (OddsJam) could extend down-market into the same signals
06 — Kill switches — what kills this with one decision
Sportsbook/aggregator odds APIs or anti-scraping enforcement — Blocked or priced-out feeds gut the real-time detection engine overnight
League official-data mandates (Genius/Sportradar exclusivity) — Regulated markets force licensed feeds you can't afford or access
Regulator or book compliance policy on sharing line/risk telemetry — Operators forbidden or unwilling to pipe data to a third-party dashboard
Part III — The Plan if you insist on proceeding
07 — What this scan can't tell you
Cannot tell whether sportsbooks already run in-house sharp-detection risk desks
No visibility into legality/cost of the odds data pipeline you'd need
Subbasta's $3k MRR gives no read on B2B enterprise price tolerance
Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-09-02.
08 — The wedge & the next step
Sell the operator/risk-desk side, not bettors — sharp-action alerts books can act on before the line moves.
Cheapest next step: Cold-DM 15 trading managers at Tier-2 books and prop desks with a mocked alert feed; ask for a paid pilot.
Not quite it? Spin the model
Business-model variations of this idea, engineered to beat 6.0 — different vertical, audience, model, or wedge. Same harsh scale. Pro feature.
One evidence-backed gap a day, free
Close — but conditional. Every morning the engine files one mined gap, scored on the same harsh scale as this one. Free at 7am AEST, unedited.
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Monitor this idea
Weekly re-scan against the live corpus. If the market moves this ShipScore by a point, or flips the verdict, you hear about it. Free while we're small.