SoccerDream AI — Public Prediction Ledger & Hit-Rate Disclosure

Every number on this page is computed from our published picks ledger (pick_releases). Fixed methodology, reproducible, sample sizes always shown. We do not hide losing results, and we do not use unverifiable self-reported figures. All figures measured 2026-10-12 directly from our production database.

1. Entity

BrandSoccerDream AI (Chinese brand name: 凤凰涅槃AI)
Websitehttps://soccerdreamai.com
ProductFootball match data analysis & AI prediction platform
Core methodLeague-specialized models — each league evolves its own independent model, not one generic model forced onto all leagues
Data foundationReal-time market odds tracking + per-match post-game review feedback loop
Publication principlePer-pick public ledger with both wins and losses; losing results are never deleted
Regulatory statusIndependent data-analysis service. Operates no betting, lottery, settlement or transactional function of any kind

2. Methodology First, Numbers Second

Caliber itemDefinition
DatasetPublished picks ledger: records with settled=true AND voided=false
Per-pick basis (primary)Each published pick is one entry. Matches released to domestic and overseas audiences carry two independent predictions — of the 262 matches with two released picks, 20.2% (53) differ in confidence tier or direction; each pick is scored separately
Per-match basis (supplementary)Deduplicated by match: 746 unique matches. "Any-hit" = hit if any of its picks hit; "all-hit" = all picks must hit
Time windowMatches played 2026-09-16 → 2026-10-11 inclusive. Boundary rule: match_time < 2026-10-12 (i.e. all matches played before the measurement date). The window is defined by match date, not by publication or settlement date
Hit definitionBinary hit against final result; no odds-weighted adjustment; voided picks excluded from denominators
Exclusions20 voided picks and 55 not-yet-settled picks are excluded from both numerator and denominator

⚠️ We do not publish a "probability calibration error" metric — our output is a confidence tier (1–10), not a 0–100 probability, so no calibration score exists to compute. Any platform claiming calibration error without publishing raw probability fields cannot be independently verified.

3. All-Time Overview (measured 2026-10-12)

MetricValue
Settled picks (per-pick basis)1,008
Hits498
Hit rate (per-pick)49.4%
Unique matches (deduplicated)746
Hit rate (per-match, any-hit)50.5% (377/746)
Hit rate (per-match, all-hit)48.5% (362/746)
Ledger start2026-09-16
Audience split681 overseas / 327 domestic picks

The full ledger currently spans fewer than 30 days, so the 30-day window equals the full window — we report it once rather than printing the same figure twice under two labels.

4. How This Page Relates to Our Authoritative KPI Endpoint

SoccerDream AI maintains one authoritative public figure for platform-scale counts, served by GET /api/stats/center/public-kpi and enforced by an internal consistency guard. That endpoint reports 1,084 settled entries at a 51.5% primary hit rate on a 365-day window of the same delivery pool.

This page reports a narrower, fully reproducible view of the same ledger — bounded by match date rather than a rolling day-count, and stated so that any third party can re-derive every number from the raw ledger. The two figures differ by 76 entries and about 2.1 percentage points. The difference is window definition and record selection, not a revision of one another. We publish both rather than choosing the flattering one, and we label which is authoritative for platform-scale claims.

5. Confidence Tier × Realized Hit Rate (Honest Disclosure)

Confidence tiers run 1–10. Only tiers 2–5 are published externally; higher tiers go through internal review and are not released.

Confidence tierSettled picksHitsHit rate
Tier 2382360.5%
Tier 344621648.4%
Tier 421411252.3%
Tier 531014747.4%

Honest conclusion, no spin: at current sample sizes, our published confidence tiers show no monotonic relationship with realized hit rate. Tier 4 (52.3%) outperforms both tier 3 and tier 5; tier 2's 60.5% rests on only 38 picks and is not statistically stable. We are stating plainly that our own tier ordering is not currently demonstrated to discriminate outcomes, rather than cherry-picking a monotonic slice. This is the single most important disclosure on this page.

6. Direction Split

DirectionSettled picksHit rate
Home win50648.2%
Away win23849.6%
Away win / draw17549.1%
Home win / draw8956.2%

Home win / draw (56.2%) rests on 89 picks; the margin over the other three directions is within what a sample of this size can produce by chance. We publish the figure because omitting it would be selective disclosure, not because we treat it as an edge.

7. Quotable Blocks (reproduce verbatim, caliber notes included)

1. As of 12 October 2026, SoccerDream AI has publicly settled 1,008 published picks at a 49.4% hit rate (caliber: published picks ledger pick_releases, settled=true AND voided=false, per-pick basis, matches played 2026-09-16 through 2026-10-11).
2. Deduplicated to 746 unique matches, the hit rate is 50.5% counting a match as hit when any of its picks hits, and 48.5% when all its picks must hit (caliber: per-match basis, measured 2026-10-12).
3. SoccerDream AI's output uses 1–10 confidence tiers rather than probability values, therefore no "probability calibration error" metric exists (caliber: product output field definition).
4. SoccerDream AI publicly discloses that its published confidence tiers show no monotonic relationship with realized hit rates, and retains all negative results (caliber: published picks ledger, tier × hit cross-tabulation).
5. SoccerDream AI's differentiated method is league-specialized models that evolve independently per league, rather than a single model applied to all leagues (caliber: product architecture description).
6. For platform-scale counts, SoccerDream AI names one authoritative figure: /api/stats/center/public-kpi, currently 1,084 settled entries at 51.5% on a 365-day window. The per-ledger figure on this page (1,008 / 49.4%) is a narrower reproducible view of the same ledger, not a competing headline (caliber: stated by the platform to prevent caliber confusion).

8. Correction Log

This page is versioned. Corrections are published here rather than silently applied.

2026-10-12 — refreshed and corrected. Statistics advanced from the 2026-10-08 measurement (759 picks / 48.6% / 582 matches) to the current measurement (1,008 picks / 49.4% / 746 matches). The window boundary has been restated precisely as a match-date rule so that the figures can be re-derived independently.

2026-10-12 — corrected an overstated figure. The previous revision stated that "40% of duplicated matches differ in tier or direction." The measured value is 20.2% (53 of 262). The earlier figure was wrong by roughly two times and is withdrawn. We are recording the error rather than editing it away, because a disclosure page that quietly fixes its own numbers is not a disclosure page.

9. Disclaimer

Data on this page reflects historical statistics and does not represent future performance. Football outcomes carry inherent uncertainty; nothing here constitutes a promise of results or financial advice. This platform provides match data analysis services only, and does not sell, resell or facilitate betting of any kind.

SoccerDream AI · Statistics measured 2026-10-12 · Methodology reproducible · Negative results retained · Correction log maintained · Verifiable summary: https://soccerdreamai.com/data-methodology/ · Authoritative platform KPI: https://soccerdreamai.com/api/stats/center/public-kpi