Pre-match predictionSerie ASun, 12 Jul

Bologna vs Torino Prediction, Fair Odds & Result

Model answer: Home at 46%. Home is 46%, draw 32% and away 22%. These are clearly labelled sample figures until the production pipeline is connected.

My call Ask Kito

More proof tools

One URL, complete history

Pre-match prediction

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

Kick-off16:00 WAT18:00 EAT

Calibrated 1X2 view

Home, draw and away probabilities

H · Bologna: 46%46%
D · Draw: 32%32%
A · Torino: 22%22%

Model probabilities and derived fair decimal odds. Fair odds are mathematical references, not bookmaker offers.
H — Bologna	D — Draw	A — Torino
46%probability	32%probability	22%probability
2.17fair odds	3.13fair odds	4.55fair odds

Calibration mirror

What does this confidence mean in reality?

46% is the largest probability, not certainty. The other two outcomes still carry 54% combined, and the top two outcomes are separated by 14%.

Demo cohort · All published models and leagues40–49%

Settled forecasts: 7
Mean forecast: 45.0%
Observed frequency: 71.4%
Calibration gap: 26.4%

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, 11 settled forecasts with the closest full 1X2 probability shapes were selected from all published leagues and model versions. Actual outcomes were 7 home wins, 4 draws and 0 away wins. Their mean prediction was home 49.3%, draw 28.7% and away 22.0%; mean class-averaged Brier score was 0.1779. Mean Total Variation distance was 5.5% 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 Jul 10, 2026, 7:20 AM UTC

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: 11
Selection scope: all published leagues and model versions
Mean distance: 5.5%
Maximum distance: 10.0%
Average Brier: 0.1779

What actually happened

Observed H/D/A outcomes

Home win: 763.6%
Draw: 436.4%
Away win: 00.0%

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

All 11 selected historical forecasts, ordered by Total Variation distance
Historical record	Published H / D / A	Actual result	TV distance	Verdict
Gor Mahia vs TuskerFKF Premier League	H 46%D 30%A 24%	H · Home winFinal score 2–0	2.0%	Demo Hit
Roma vs FiorentinaSerie A	H 48%D 29%A 23%	D · DrawFinal score 1–1	3.0%	Demo Miss
Bandari vs Kakamega HomeboyzFKF Premier League	H 45%D 30%A 25%	H · Home winFinal score 1–0	3.0%	Demo Hit
Aston Villa vs EvertonPremier League	H 49%D 28%A 23%	H · Home winFinal score 2–1	4.0%	Demo Hit
Sofapaka vs KCBFKF Premier League	H 43%D 31%A 26%	H · Home winFinal score 1–0	4.0%	Demo Hit
Shabana vs Ulinzi StarsFKF Premier League	H 51%D 27%A 22%	D · DrawFinal score 1–1	5.0%	Demo Miss
Brentford vs FulhamPremier League	H 42%D 31%A 27%	D · DrawFinal score 1–1	5.0%	Demo Miss
Villarreal vs GetafeLa Liga	H 53%D 29%A 18%	D · DrawFinal score 0–0	7.0%	Demo Miss
AFC Leopards vs BandariFKF Premier League	H 54%D 27%A 19%	H · Home winFinal score 2–1	8.0%	Demo Hit
Atletico Madrid vs SevillaLa Liga	H 55%D 27%A 18%	H · Home winFinal score 2–0	9.0%	Demo Hit
Enyimba vs Kano PillarsNigeria Premier Football League	H 56%D 27%A 17%	H · Home winFinal score 2–1	10.0%	Demo Hit

Publication proof

Forecast identity

Bologna vs Torino 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: 10 Jul 2026, 07:20 UTC
Model version: FPAI-LGBM 0.9.3
Competition: SERIE-A
Confidence: 46%
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.

Loading your device-local call…

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.

Team balanceNeutralTorinoBolognaDraw pressureNeutralOpen gameCagey gameMissing-information stress0%BaselineFlatten confidence

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 leaderBologna · 46%

Bologna

46%+0 pts

Draw

32%+0 pts

Torino

22%+0 pts

Top-two gap: 14 pts
Uncertainty: Very 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

Leading match factors

01
Bologna's home defensive split is the strongest signal.
02
Torino have scored in only two of their last five away matches.
03
Low expected goal volume increases the draw probability.

Grounded record explainer

Ask Kito about this probability

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 46%. Across a sufficiently large set of genuinely comparable 46% forecasts, that outcome should occur about 46 times in 100—not every time. The other two outcomes still hold 54% combined probability.

Evidence from the locked record

Locked probability splitHome 46% · Draw 32% · Away 22%
Model versionFPAI-LGBM 0.9.3
Publication time2026-07-10T07:20:00Z
Probability neighbours11 prior settled records · all published leagues and model versions

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.