Serie A · Italy · Regular Season - 1

Atalanta–Sassuolo

2–1

HT 1–0

Kick-off: Sunday, 23 August 2026 at 18:45
Status: Match Finished

What the model said, and what happened

Prediction correct

This verdict goes into the public record unchanged; we do not filter out the ones we get wrong. The model's track record

Goals and red cards

6'AtalantaGiacomo Raspadori (assist: G. Gaetano)
55'SassuoloCas Odenthal
65'AtalantaNikola Krstović

Match statistics

Match statistics
Atalanta		Sassuolo
10	Shots	20
6	Shots on target	8
6	Shots inside the box	11
7	Goalkeeper saves	4
3	Corners	4
0	Offsides	1
58%	Possession	42%
466	Passes	328
425	Accurate passes

What we expected, and what happened

Expected goals before kick-off: Atalanta 1.78 · Sassuolo 0.89. On the pitch: 2-1.
Shots Atalanta 10 · Sassuolo 20; on target 6 and 8.
Atalanta kept the ball more (58%).

Unavailable players

Atalanta

H. Ahanorout · Muscle Injury
I. Hienout · Muscle Injury
K. Sulemanaout · Knee Injury
T. Kristensenout · Ankle Injury

Sassuolo

A. Pinamontiout · injury
D. Berardiout · Ankle Injury
D. Bolocaout · Muscle Injury
E. Pieragnoloout · Knee Injury
F. Candeout · Knee Injury
I. Koneout · Broken Leg
S. Walukiewiczout · Muscle Injury
Y. Pazout · Knee Injury

Provider data — may change until the line-ups are announced. Last updated: Thursday, 17 September 2026 at 06:10.

Referee

Valerio Crezzini, Italy→

3.70

yellows per match

0.10

reds per match

matches of data

10 matches is a small sample — these averages are noisy and should not be read as a tendency.

Model prediction

Why this prediction?

The model puts the most likely outcome at 62.7%: “Atalanta to win”. Second comes “a draw” at 22.3%.
Behind that distribution are the expected goals: 1.99 for Atalanta, 0.92 for Sassuolo.
The highest double chance value is 84.9% (1X — Atalanta win or draw).
These values were computed from 1,526 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.

Atalanta to win62.7%

Draw22.3%

Sassuolo to win15.1%

When the model has said 60–65% in the past, 847 of 1,354 predictions were correct (62.6%). Accuracy record →

6	Fouls	7

0	Yellow cards	0

0	Red cards	0

The measurements our data provider sent for this match. A row that was not measured shows “—”; writing 0 into an empty field would claim we measured it and found none.

When the model has said 50–55% in the past, 2,597 of 5,092 predictions were correct (51.0%). Accuracy record →

Double chance

1X — Atalanta win or draw84.9%

12 — any result other than a draw77.7%

X2 — draw or Sassuolo win37.3%

These three values add up to 200%, not 100% — and that is not a mistake. The options are not mutually exclusive; every outcome is counted in two of them. For the same reason 1X plus X2 exceeds 100% by exactly the probability of a draw (22.3%).

First half

Actual: 1–0

Atalanta lead at half-time43.1%

Level at half-time41.9%

Sassuolo lead at half-time14.9%

First-half double chance

1X — Atalanta ahead or level85.1%

12 — not level at half-time58.1%

X2 — level or Sassuolo ahead56.9%

These values are not a fraction of the full-match prediction; they come from a separate model trained on the first-half scores of 1526 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

Atalanta: at least 11Actual: 6
Sassuolo: at least 10Actual: 7

Corners

Atalanta: at least 5Actual: 3
Sassuolo: at least 2Actual: 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+ goals56.3%

When the model has said 55–60% in the past, 1,528 of 2,652 predictions were correct (57.6%). Accuracy record →

The league's historical "3+ goals" rate is 47.1%. 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 Atalanta score1.78

Attack: Atalanta score above the league average (26% more).

Opponent's defence: Sassuolo's defence is close to the league average (1.14×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 1.78 goals (including home advantage).

How many goals Sassuolo score0.89

Attack: Sassuolo score close to the league average.

Opponent's defence: Atalanta's defence is close to the league average (0.87×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 0.89 goals (including the away penalty).

Most likely scorelines

1–111.2%2–011.1%2–111.0%

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.

Ratings were computed from 1526 matches played in this league before kick-off; the team with fewer has 114 matches. No data from after the match was used. The model's track record is published unfiltered.

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.