Final — result reviewedPremier LeagueSun, May 3

Manchester City vs Chelsea Prediction, Fair Odds & Result

Model answer: Home at 58%. Home is 58%, draw 24% and away 18%. These are clearly labelled sample figures until the production pipeline is connected.

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Audit history

One URL, complete history

Final — result reviewed

The original prediction is preserved beside the final score of 1–2.

Score1–2

Automatic post-match audit

Demo Miss

The result is recorded without rewriting the forecast.

The locked top call was home win at 58%. The verified result was away win at 1–2.

Final score
1–2
Actual outcome
Away win
Probability assigned to result
18%
Single-match Brier
0.355
Latest settlement
2026-05-03T18:30:00.000Z

A single match cannot prove or disprove calibration. The score joins every other settled row on the public accuracy ledger.

Calibrated 1X2 view

Home, draw and away probabilities

H · Manchester City
58%58%
D · Draw
24%24%
A · Chelsea
18%18%
Model probabilities and derived fair decimal odds. Fair odds are mathematical references, not bookmaker offers.
HManchester CityD — DrawAChelsea
58%probability24%probability18%probability
1.72fair odds4.17fair odds5.56fair odds

Calibration mirror

What does this confidence mean in reality?

58% is the largest probability, not certainty. The other two outcomes still carry 42% combined, and the top two outcomes are separated by 34%.

Demo cohort · All published models and leagues50–59%
Settled forecasts
2
Mean forecast
57.5%
Observed frequency
100.0%
Calibration gap
42.5%

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

Open the current full accuracy ledger

Historical probability shapes

Probability Neighbours

Before publication, 8 settled forecasts with the closest full 1X2 probability shapes were selected from all published leagues and model versions. Actual outcomes were 5 home wins, 2 draws and 1 away wins. Their mean prediction was home 50.0%, draw 26.5% and away 23.5%; mean class-averaged Brier score was 0.1429. Mean Total Variation distance was 11.5% and the maximum was 28.0%. Fewer than 8 records were available inside the 10% Total Variation window, so the deterministic search expanded to the nearest eligible records; the furthest selected record was 28.0% away. 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 sampleSearch expanded

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
8
Selection scope
all published leagues and model versions
Mean distance
11.5%
Maximum distance
28.0%
Average Brier
0.1429

What actually happened

Observed H/D/A outcomes

Home win
562.5%
Draw
225.0%
Away win
112.5%

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

All 8 selected historical forecasts, ordered by Total Variation distance
Historical recordPublished H / D / AActual resultTV distanceVerdict
Inter vs BolognaSerie AH 59%D 25%A 16%H · Home winFinal score 2–02.0%Demo Hit
Enyimba vs Kano PillarsNigeria Premier Football LeagueH 56%D 27%A 17%H · Home winFinal score 2–13.0%Demo Hit
Arsenal vs West Ham UnitedPremier LeagueH 61%D 23%A 16%H · Home winFinal score 2–03.0%Demo Hit
Barcelona vs Real BetisLa LigaH 67%D 20%A 13%H · Home winFinal score 3–19.0%Demo Hit
Roma vs FiorentinaSerie AH 48%D 29%A 23%D · DrawFinal score 1–110.0%Demo Miss
Bandari vs Kakamega HomeboyzFKF Premier LeagueH 45%D 30%A 25%H · Home winFinal score 1–013.0%Demo Hit
Athletic Club vs VillarrealLa LigaH 34%D 30%A 36%D · DrawFinal score 0–024.0%Demo Miss
Everton vs Newcastle UnitedPremier LeagueH 30%D 28%A 42%A · Away winFinal score 1–228.0%Demo Hit

Publication proof

Forecast identity

Manchester City vs Chelsea 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 0.8.8
Competition
PREMIER-LEAGUE
Confidence
58%
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 leaderManchester City · 58%
Manchester City
58%+0 pts
Draw
24%+0 pts
Chelsea
18%+0 pts
Top-two gap
34 pts
Uncertainty
High
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

Locked probability record

  1. 01

    The locked home probability was 58%.

  2. 02

    The locked draw probability was 24%.

  3. 03

    The locked away probability was 18%.

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 58%. Across a sufficiently large set of genuinely comparable 58% forecasts, that outcome should occur about 58 times in 100—not every time. The other two outcomes still hold 42% 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 published top call was Home. The final result was Away at 1–2, so the forecast was recorded as a miss. This row remains visible as part of the complete demo record.

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