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Research desk · Pipeline v11

Not a tipster.
A quant stack
for football markets

Three independent probability engines, a five-book median, Dixon-Coles with a league prior, isotonic confidence calibration and a policy that only publishes what survives EV and correlation. The LLM writes the copy – it cannot override 1X2, O/U or BTTS.

3 probability engines Median · 5 books LLM lock EV policy

Most “AI tips” are a prompt plus one price.

We run a reproducible inference pipeline. Every match gets the same feature pack, the same blend, the same decision layer. Copy comes from the LLM – binding tips come from the model. When book, API-ML and Dixon-Coles disagree, confidence drops. When they agree, it rises. That’s research, not a newsletter.

Locked markets

Win / O/U / BTTS are model-binding. The LLM cannot rewrite them.

Consensus odds

Median across Bet365, Bwin, Unibet, 1xBet, Betclic – not the first hit.

Compute budget

Top leagues first. U21/B sides last. 70% of refresh slots for tier A.

What BetKings24 is not

  • Not a bookmaker – we do not take stakes.
  • No brokerage, no affiliate links to operators.
  • No profit guarantee. Predictions are non-binding.

Three planes, one decision

Data, inference and policy are separate. The model stays honest even when the prose is fluent.

DATA

01 · Data plane

Fixtures, predictions, squads, scorers, XI, injuries, H2H, last-5 including xG, venue split, rest days, table, referee. 28 competitions, calendar window, early-cup minnow filter.

MODEL

02 · Model plane

Dixon-Coles λ with league prior and shrinkage, bookie de-vig, API-ML. Blend weights by sample size. O/U line 1.5 / 2.5 / 3.5 by λ edge. Confidence from the probability gap.

POLICY

03 · Policy plane

Top-pick scoring, auto-publish, draft the rest. Combo builder with correlation caps, joint-P and EV gate. Same-game parlay. Settlement feeds calibration.

Pipeline v11 – fixture to settlement

One run, twelve stages. Nothing is skipped – it is prioritised.

01
Ingest

28 competitions, calendar window

Top-5, CL/EL, other top flights, second tiers, cups. Early amateur rounds are dropped before they burn the analyse limit.

02
Queue

League tier before kickoff time

Tier A (top-5/EL/CL) first, U21/B/Jong/II last. The limit is for quality, not whoever kicks off earlier.

03
Features

The full match vector

API predictions, median odds, squads, top scorers, assist/card boards, XI, injuries, H2H, form, last-5, venue split, rest days, table, league goal averages.

04
λ model

Dixon-Coles, not Elo folklore

Attack/defence with league prior and shrinkage. Missing stars and XI compress λ. Rest days adjust attack/concede. Last-5 home/away splits the base.

05
Ensemble

Three engines, one blend

Bookie de-vig × API-ML × Dixon-Coles. Early season leans market, later leans model. Source dissent cuts confidence, consensus lifts it.

06
Decision

1X2 · line · BTTS

AH line steers the DRAW threshold. O/U picks 1.5 / 2.5 / 3.5 by modelled edge, not always 2.5. BTTS from the same matrix.

07
Confidence

Gap + calibration + league

Raw conf from p(tip) plus gap to the second side. Isotonic calibration on 120 days of published win tips. League hit rate (n≥8) adjusts ±2–4 points.

08
LLM lock

Prose yes, override no

The LLM model writes analysis, exact score, scorers, corners/cards. sieg.tip, over_under.tip, beide_treffen.tip are taken from the blend and hard-overwritten.

09
Refresh

0.4–16 h before kickoff

Odds, XI, injuries again. 70% of slots for tier A. Model patch without a full LLM pass; re-analyse only on tip change, official XI or injury delta.

10
Policy

Only top picks go live

Score from conf, odds sweet-spot, value, source consensus, league HR. Free is strict, Pro wider. The rest return to draft – including combos that contain drafts.

11
Combos

Banker · 3-fold · same game

Upcoming NS only. Max one Over 2.5, one BTTS Yes, two games per league. Joint-P and EV gate. 4-folds Pro only. Same game: two markets, one match, no contradiction.

12
Loop

Settlement → calibration

FT results settle tips and combos. Hit rates by market/league and conf bins feed the next run. The system learns from what was live – not from drafts.

Ensemble weights by sample size

The fewer games the sides have played, the more we trust the market. That is shrinkage, not vibes.

Early · n<6

55% Bookie de-vig30% API-ML15% Dixon-Coles

Mid · n<12

45% Bookie de-vig33% API-ML22% Dixon-Coles

Stable · n≥12

40% Bookie de-vig30% API-ML30% Dixon-Coles

p = wbk · Bookiedevig + wapi · API-ML + wdc · Dixon-Colesλ,ρ

Confidence is not a marketing number

A 70 conf does not mean “it will happen”. It means: after gap, calibration and league hit rate, modelled hit probability sits in that bin. DRAW stays hard-capped (48–62) because draws are the expensive 1X2 error.

Probability gap

Bonus only on clear separation (gap > 8 pp). Tight games stay sober.

Isotonic bins

120-day calibration on published win tips. Too little sample → raw conf.

League hit rate

n≥8: strong leagues +2, weak −2/−4. Free lockout under 45%.

The LLM is an analyst, not the referee

Many sites let ChatGPT invent the pick. Here the model sees the feature pack, the LLM writes the rationale – and apply_model_locks overwrites 1X2, O/U and BTTS with the blend. Corners/cards only if last-5 match stats exist on both sides with n≥3. Exact score and scorers stay LLM markets with lower priority.

Policy layer: what is allowed live

Not every analysed draft is a tip. The policy maximises long-run expected value under uncertainty – the RL idea, without pretending we trained a neural net overnight.

Top picks

Free: conf, odds window, no LLM error, no weak league. Pro: wider, but no 46 conf.

Banker 2-fold

Two high-conf legs, odds ≥1.20. Short favourites as 1X, Over 1.5 as the safety leg.

Same game

Two markets, one match. Allowed: 1X2/DC + O/U or BTTS. Forbidden: Over+Under, BTTS-Yes+Under 1.5.

Correlation

Max one Over 2.5, one BTTS Yes, two games in the same league. Joint-P with penalty, then EV gate.

Information that arrives after the first pass

Monday’s tip is worthless on Saturday if the striker is out. So we refresh 0.4–16 h before kickoff: odds, official XI, injuries. 70% of slots for tier A. U21 games do not burn budget ahead of Inter–Udinese.

What other sites don’t do

Typical tip blogBetKings24 pipeline v11
SourceOne prompt, one screenshotAPI databases + 5-book median
Model“The AI says 1”Dixon-Coles × de-vig × API-ML, weights by n
Who decidesLLM can override anythingHard lock on 1X2 / O/U / BTTS
DrawsIgnored or guessedAH threshold, conf cap 48–62, own bin
LinesAlways Over 2.51.5 / 2.5 / 3.5 by λ edge
FreshnessOne run the day beforePre-KO refresh, XI and injury delta
SelectionPost everythingTop-pick policy, rest stay draft
CombosStack three favouritesCorrelation, joint-P, same game, 4-folds Pro only
LearningNo feedback loopSettlement → conf bins → next run

The stack we actually run

API databasesDixon-Coles ρBookie de-vigAPI-ML blendIsotonic conf binsLeague hit rateLLM lockPre-KO refreshEV policySame-game parlay

Competitions covered

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Not an invitation to gamble. Predictions are non-binding, we are not a bookmaker, 18+. Past results do not indicate future hit rates. · Guide