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Entertainment40 searches / mo

Spoiler-free scores

Results hidden until you say so.

Opportunity score

2,415 / 10k

Thin for now. Watch it before you build it.

Rank

#175

Gap

B

  • Demand

    0

    40 contestable searches a month across 2 related keywords.

  • Momentum

    17

    Last three months ran down 40.0% against the three before, seasonality smoothed out.

  • Competition gap

    59

    17 real products rank on page one for this, ad competition 0.00.

  • Crowd

    n/a

    Only 2 rankings so far, not counted until 5.

  • Willingness to pay

    n/a

    No ad pricing on this keyword, so there's no read on whether money moves here.

What this score is based on

evidence checked 9/27/2026

  • Search demand verified against Google Ads data
  • 12 months of search history
  • 2 related keywords clustered
  • No firsthand pain signals collected yet
  • 17 competitors analyzed from page-one results
  • 2 crowd rankings from builders

Search demand comes from Google Ads data via DataForSEO and refreshes daily. Competitors come from a live scan of page-one results. Crowd input comes from builders ranking ideas 1-2-3 on the market.

Keyword cluster

2 keywords · 40 searches a month combined

Demand counts the whole cluster: 40 searches a month across every relevant way people look for this problem. The intent label on each keyword tells you how close that searcher is to wanting software.

KeywordIntentSearchesCPCAd comp.
spoiler-free scoresunclear20-0.00
spoiler free scoresunclear20-0.00

CPC is what an advertiser pays Google for one click on that phrase — a rough price tag on how valuable the visitor is. Ad comp. runs 0 to 1 and is how full the ad auction is: near 1 means advertisers are fighting over it (money is there, but ranking is hard), near 0 means almost nobody bids.

Who has the problem

Sports websites and apps prioritize showing immediate results and headlines, making it nearly impossible for a fan to find a specific game without stumbling upon the final score. This forces fans to risk their viewing experience by navigating a minefield of spoilers before they've had a chance to watch the match.

Who experiences it
A sports fan who wants to check game results on their own schedule without seeing the outcome first.
When it happens
They open a sports news website or app to find a specific game's score from 'spoiler-free scores' type searches.
How often
This occurs whenever a sports fan seeks game results for a match they haven't watched yet, averaging around 20 searches per month for 'spoiler-free scores'.
What they do today
They navigate sports websites or apps with extreme caution, often covering parts of the screen or quickly scanning for a specific game, fearing an accidental reveal of the score in headlines or other prominent displays.

Read off 2 search phrases, 9/28/2026.

Why now

Demand is cooling; build only if you have an angle the incumbents lack.

  • Searches are down 50% year over year

    22 a month twelve months ago → 11 now for "spoiler-free scores".

  • Cooling 40% over the last quarter

    Last three months of searches against the three before them.

  • Peaks in February

    Demand swings 300% across the year, so ship roughly two months before February.

  • 2 real products on page one

    Alongside 15 articles and reference pages, which is room a focused tool can take.

  • 2 builder rankings back it

    Crowd rating 1500 Elo from head-to-head votes on the market.

Search data

verified · dataforseo:us · refreshed 9/27/2026

Lead keyword
spoiler-free scores
Cluster volume
40 / mo
across 2 related keywords; lead phrase is 20 / mo
CPC
-
what an advertiser pays for one click here
Ad competition
0.00
0-1 scale: barely any advertisers bidding

Opportunity score 2,415 = 40% contestable search demand (40 a month across 2 keywords) + 25% how open the competition still is (17 products on page one) + 15% momentum (last three months vs the three before, capped so one bucketed month can't swing it) + 10% willingness to pay (no ad pricing) + 10% crowd rankings (Elo 1500, 2 head-to-heads, weighted by how many votes exist). Anything we can't measure is dropped and the rest re-weighted, so a blank signal never counts as an average one. Search data refreshes daily from Google Ads via DataForSEO.

Monthly searches for "spoiler-free scores"

2 votes · demand from dataforseo:us, updated 9/27/2026

22
Sep 25
22
Oct 25
33
Nov 25
22
Dec 25
44
Jan 26
11
Feb 26
11
Mar 26
33
Apr 26
11
May 26
11
Jun 26
11
Jul 26
11
Aug 26

Peak 44 · latest 11 · low 11 searches a month

Google reports monthly volume in fixed buckets (…27,100 · 33,100 · 40,500 · 49,500), so steady months land on the exact same number. Weekly data isn't published.

This chart tracks the single lead phrase. The demand score uses the whole cluster of 2 related phrases (40 searches a month), listed below.

Revenue potential

estimate, not a promise

Priced and converted as a freemium consumer app — the funnel below changes with that model, because a freemium consumer app and a B2B tool convert nothing alike.

MRR by month 12

$0 – $1

0–0 paying users · +0–0 new a month at 7% churn

Year-one run rate

$1 – $8

the month-12 number annualised — you earn less than this during the ramp

Price

$9/mo

same price as the business model below

24-month projection

log scale

Month 24 · hover to scrub

Slow build $0Good execution $1Breakout $13

The two solid lines are the range above: a slow build and good execution on a slice of this demand. The dashed line is the breakout — you become the default answer for this problem, take roughly a quarter of the intent, convert far better because people arrive already sold, and churn halves. That's the outcome worth chasing, and it's about $13 a month by month 24 (3 paying users). Most ideas land on the bottom line; the point of the chart is that the ceiling isn't the estimate.

How we got there

  • 40 cluster searches a month, 1.6x for app stores and word of mouth.
  • You reach 1.0-6.0% of that, scaled by ad competition 0.00.
  • 12% of visitors sign up, 2% of those pay. Freemium consumer: roughly 1-3% of free users ever pay, so this needs volume.
  • That wins 0-0 new subscribers a month. Stack 12 months of that against 7% monthly churn and you're holding 0-0 paying users by month 12.
  • Price $9/mo, taken from the business model below.

Who already builds this

2 real products · 15 articles, explainers and store pages · 6 read in depth · scanned daily on Google for "spoiler-free scores"

2 real products own this search. Everything else on page one is a roundup, review post or explainer, listed separately below.

  • Ranks #8 on Google for "spoiler-free scores".

    ~6 organic visits a month (estimate)

    nospoilersports.app · from live Google results · verified Aug 18

  • Ranks #9 on Google for "spoiler-free scores".

    spoilerfreebasketball.com · from live Google results · verified Aug 18

Also ranking, but not products (15)

Roundups, review posts, explainers and store pages. They compete for the search, not for the job — they don't count against the competition gap.

Likely business model

willingness to pay 7/100

Freemium consumer app

Broad consumer intent: get them using it free, charge for volume and polish.

How rivals make money 4 competitors read: 1 on subscriptions, 0 one-time, 1 free.

Price to test · from ad click value

$4–$14/mo

No competitor pricing page was readable across the 4 we checked, so this band comes from what a click on this intent costs advertisers ($0.00) — a starting price to test, not a proven one.

What to charge for

Free core, paid depth. Gate history, exports and power features rather than the first-run experience — the exact free limit is something you tune after launch, not something this data can tell you.

What this data can't tell you

  • · Nobody's published price backs this band yet — treat the number as a test, and put a price up in week one to find out.

Willingness-to-pay evidence

  • 4 competitors read: 1 on subscriptions, 0 one-time, 1 free.
  • 0% of the 2-keyword cluster is commercial-intent wording (best, app, pricing, alternative).
  • Ad competition 0.00 — few advertisers fighting for it.

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