Pre-match predictionLa LigaMon, 13 Jul

Barcelona vs Sevilla Prediction, Fair Odds & Result

Model answer: Home at 65%. Home is 65%, draw 21% and away 14%. These are clearly labelled sample figures until the production pipeline is connected.

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Pre-match prediction

This is the original pre-match forecast. It will remain at this address during play and after settlement.

Kick-off20:00 WAT22:00 EAT

Calibrated 1X2 view

Home, draw and away probabilities

H · Barcelona
65%65%
D · Draw
21%21%
A · Sevilla
14%14%
Model probabilities and derived fair decimal odds. Fair odds are mathematical references, not bookmaker offers.
HBarcelonaD — DrawASevilla
65%probability21%probability14%probability
1.54fair odds4.76fair odds7.14fair odds

Calibration mirror

What does this confidence mean in reality?

65% is the largest probability, not certainty. The other two outcomes still carry 35% combined, and the top two outcomes are separated by 44%.

Demo cohort · All published models and leagues60%+
Settled forecasts
4
Mean forecast
64.5%
Observed frequency
75.0%
Calibration gap
10.5%

These labelled sample rows were already settled before this demo forecast was published. They are not evidence of production performance.

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Historical probability shapes

Probability Neighbours

Before publication, 9 settled forecasts with the closest full 1X2 probability shapes were selected from all published leagues and model versions. Actual outcomes were 6 home wins, 2 draws and 1 away wins. Their mean prediction was home 60.3%, draw 23.9% and away 15.8%; mean class-averaged Brier score was 0.1659. Mean Total Variation distance was 5.3% and the maximum was 10.0%. Every selected record is within the fixed 10% Total Variation window. This is a small sample below 30 records, so it is descriptive evidence rather than proof of model skill or a promise about this match.

Demo evidenceSmall sample

As of

Total Variation compares the entire H/D/A probability split.

A distance of 5% means five probability points must be redistributed to turn one 1X2 split into the other. Match results, scores, Hit/Miss labels and Brier scores never participate in neighbour selection. This historical view does not change the current prediction.

Settled neighbours
9
Selection scope
all published leagues and model versions
Mean distance
5.3%
Maximum distance
10.0%
Average Brier
0.1659

What actually happened

Observed H/D/A outcomes

Home win
666.7%
Draw
222.2%
Away win
111.1%

Swipe horizontally to inspect probabilities, result, distance and verdict.

All 9 selected historical forecasts, ordered by Total Variation distance
Historical recordPublished H / D / AActual resultTV distanceVerdict
Liverpool vs Tottenham HotspurPremier LeagueH 64%D 21%A 15%H · Home winFinal score 3–11.0%Demo Hit
Real Madrid vs Real SociedadLa LigaH 66%D 21%A 13%D · DrawFinal score 2–21.0%Demo Miss
Barcelona vs Real BetisLa LigaH 67%D 20%A 13%H · Home winFinal score 3–12.0%Demo Hit
Arsenal vs West Ham UnitedPremier LeagueH 61%D 23%A 16%H · Home winFinal score 2–04.0%Demo Hit
Inter vs BolognaSerie AH 59%D 25%A 16%H · Home winFinal score 2–06.0%Demo Hit
Manchester City vs ChelseaPremier LeagueH 58%D 24%A 18%A · Away winFinal score 1–27.0%Demo Miss
Juventus vs TorinoSerie AH 57%D 27%A 16%D · DrawFinal score 1–18.0%Demo Miss
Enyimba vs Kano PillarsNigeria Premier Football LeagueH 56%D 27%A 17%H · Home winFinal score 2–19.0%Demo Hit
Atletico Madrid vs SevillaLa LigaH 55%D 27%A 18%H · Home winFinal score 2–010.0%Demo Hit

Publication proof

Forecast identity

Barcelona vs Sevilla pre-match probability proof card
Illustrative Demo proof card. The image is tied to this record's publication payload and can be opened at full size.
Published
Model version
FPAI-LGBM 0.9.3
Competition
LALIGA
Confidence
65%
Record SHA-256
Not issued for demo data

Demo notice: the timestamp, model version and figures on this preview are sample data, so no production record fingerprint is issued. Official records are generated automatically at least 24 hours before kick-off.

Kito calibration challenge

Make your call before the whistle

Set your own home, draw and away split. It stays only in this browser, saves the match to your private desk, and can be scored beside the locked model after the result.

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Your selected probabilities never leave this device · anonymous aggregate use counters respect Global Privacy Control and Do Not Track · excluded from the public ledger, accuracy, APIs and structured data · not betting advice

Interactive counterfactual

What would have to change?

Move three transparent assumptions and watch the probability shape respond. This is an educational sensitivity test, not a second model and never an edit to the demo record.

Nearest illustrative flip

5-point grid

Find the smallest move from the neutral official baseline that puts another outcome at least 0.5 percentage points ahead.

This boundary is a sensitivity illustration—not a new prediction. Missing-information stress stays at 0 and the official record never changes.

Illustrative leaderBarcelona · 65%
Barcelona
65%+0 pts
Draw
21%+0 pts
Sevilla
14%+0 pts
Top-two gap
44 pts
Uncertainty
Moderate
Official record
Unchanged

Illustrative Scenario v1. Method: apply visible log-probability shifts, then normalise with softmax; the stress control raises temperature toward a flatter split. Boundary search uses only team balance and draw pressure on a 5-point grid, holds stress at zero, and requires the target to lead by at least 0.5 percentage points.

Why the model leans this way

Leading match factors

  1. 01

    Barcelona own the largest home-Elo edge on this slate.

  2. 02

    Sevilla have one win in their last five away fixtures.

  3. 03

    Three extra rest days reinforce the favourite without changing the pick.

Grounded record explainer

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Evidence mode

Kito can read only this labelled demo record. It cannot browse for hidden context, change the probabilities, suggest a stake, or promise a result.

Instant evidence mode is deterministic and makes no external model request. Optional AI response planning remains off until a server-side OpenAI key and budget switch are configured. When enabled, the model can only choose a full or compact view of server-authored evidence.

Kito

This is a labelled demo record. The top call is home win at 65%. Across a sufficiently large set of genuinely comparable 65% forecasts, that outcome should occur about 65 times in 100—not every time. The other two outcomes still hold 35% combined probability.

Evidence from the locked record
Kito Evidence Engine v1 · deterministically calculated from the locked record · probabilities unchanged

Locked feature context

Model-generated explanation

The highest published probability is home, but the split leaves meaningful room for the other outcomes. The top call is the largest of three uncertain probabilities, not a guaranteed result. Review the full probability table rather than reading the pick alone.

Generated only from the locked pre-match feature snapshot; maximum 120 words and no change to the official probabilities.