Serie B · Italy · Regular Season - 1

Venezia–Bari

2–1

HT 2–1

Kick-off: Sunday, 24 August 2025 at 17:00
Status: Match Finished

Goals and red cards

9'VeneziaB. Bjarkason
26'BariM. Dorval (assist: M. Braunöder)
43'VeneziaA. Duncan (assist: Joel Schingtienne)

Match statistics

Match statistics
Venezia		Bari
20	Shots	11
8	Shots on target	3
12	Shots inside the box	9
2	Goalkeeper saves	6
6	Corners	4
2	Offsides	3
59%	Possession	41%
496	Passes	338
424	Accurate passes

What we expected, and what happened

Expected goals before kick-off: Venezia 1.79 · Bari 0.91. On the pitch: 2-1.
Shots Venezia 20 · Bari 11; on target 8 and 3.
Venezia kept the ball more (59%).

Referee

D. Di Marco→

4.36

yellows per match

0.16

reds per match

matches of data

Model prediction

Why this prediction?

The model puts the most likely outcome at 58.2%: “Venezia to win”. Second comes “a draw” at 24.4%.
Behind that distribution are the expected goals: 1.79 for Venezia, 0.91 for Bari.
The highest double chance value is 82.6% (1X — Venezia win or draw).
These values were computed from 1,145 past matches.

This is a prediction, not a guarantee; a probability is not a certainty.

These sentences are built by a fixed template; every number in them comes straight from the model's computation, none invented while the text was written.

Venezia to win58.2%

Draw24.4%

Bari to win17.4%

When the model has said 55–60% in the past, 1,158 of 1,983 predictions were correct (58.4%). Accuracy record →

13	Fouls	15

1	Yellow cards	1

0	Red cards	0

First half

Actual: 2–1

Venezia lead at half-time33.5%

Level at half-time44.3%

Bari lead at half-time22.2%

First-half double chance

1X — Venezia ahead or level77.8%

12 — not level at half-time55.7%

X2 — level or Bari ahead66.5%

These values are not a fraction of the full-match prediction; they come from a separate model trained on the first-half scores of 1145 matches. Its edge over the base rate is markedly smaller than the full-match model's — the measured figure is on the accuracy record. Read them more cautiously. First-half goal markets are not published because they failed to beat the base rate.

Expected fouls and corners

Fouls

Venezia: at least 12Actual: 13
Bari: at least 13Actual: 15

Corners

Venezia: at least 4Actual: 6
Bari: at least 4Actual: 4

These figures are set to hold in at least 60% of matches; in the rest the count comes in below them. No upper bound is stated — we make no "at most" claim. Yellow cards were measured and are not published: there our model did not beat the historical average.

Goals market

3+ goals51.3%

When the model has said 50–55% in the past, 1,761 of 3,286 predictions were correct (53.6%). Accuracy record →

The league's historical "3+ goals" rate is 45.2%. For this match the model gives a value above that baseline — and in backtesting the model's edge was confirmed only in this direction.

What these probabilities rest on

Expected goals comes out of a team's attack weighed against its opponent's defence. A strong attack is damped when it meets a strong defence — which is why comparing the ratings on their own is misleading.

How many goals Venezia score1.79

Attack: Venezia score above the league average (32% more).

Opponent's defence: Bari's defence is close to the league average (1.02×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 1.79 goals (including home advantage).

How many goals Bari score0.91

Attack: Bari score close to the league average.

Opponent's defence: Venezia's defence is close to the league average (0.95×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 0.91 goals (including the away penalty).

Most likely scorelines

1–112.4%1–011.3%2–011.0%

A single scoreline is always less likely than an outcome: “home win” is the sum of 1-0, 2-0, 2-1 and dozens more. So the most likely single score can be a draw while the most likely outcome is a home win; the two do not contradict each other.

Week 1 of the season. This prediction was computed from previous seasons. Summer transfers, budget changes and squad rebuilds aren't in the ratings yet — the model can only see that a team has been rebuilt once new results come in.

We measured this and we're not hiding it: in the opening week of past seasons the model came in 3.3 points below the accuracy it claimed (n=220) — for the rest of the season it beats its own claim. The tendency points this way, though it is not proof on its own: in the opening week it slightly over-calls home wins (said 42.7%, got 39.5%) and slightly under-calls draws (said 26.1%, got 28.2%).

This sample is small and not statistically established, which is why we do not correct the model for it. The correction we tried (pulling probabilities toward the league average) didn't win on holdout, so it wasn't added. Read opening-week predictions with a little more caution.