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Compare Atalanta vs Cagliari

Atalanta vs Cagliari Head-to-Head Stats and Form Comparison

Compare Atalanta vs Cagliari: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.

Atalanta Atalanta Home Team
Cagliari Cagliari Away Team
Atalanta
51.4
D L W D L D D L W W

Last 10 Matches

Cagliari
45.5
D W W L D W L W L L

Performance Radar

Atalanta
Cagliari

Categories Won

9

Atalanta

2

Draw

4

Cagliari

Statistical Comparison

Win Percentage
30%

3W, 4D, 3L

40%

4W, 2D, 4L

Goals Scored / Match
1.2

12 / 10 matches

0.9

9 / 10 matches

Goals Conceded / Match
1.0

10 / 10 matches

1.2

12 / 10 matches

Goal Difference
+2

+2

-3

-3

Clean Sheet
30%

3 / 10 matches

30%

3 / 10 matches

Over 2.5 Goals
30%

3 / 10 matches

50%

5 / 10 matches

Both Teams to Score
50%

5 / 10 matches

40%

4 / 10 matches

Top Scorer
N. Krstović (2 goals)
S. Esposito (3 goals)
Most Goals by Half
1st Half: 7 / 2nd Half: 5
1st Half: 6 / 2nd Half: 3
Home Win Rate
20%

1W / 5 matches

50%

3W / 6 matches

Away Win Rate
40%

2W / 5 matches

25%

1W / 4 matches

Schedule Strength (SoS)
63.5

League Difficulty: 85.5, Opponent Quality: 65.9

57.6

League Difficulty: 85.5, Opponent Quality: 66.8

Elite Opponent Record
25%

1W / 4 matches

0%

0W / 3 matches

Expected Goals (xG)
1.52

Actual: 1.2 | Diff: -0.32

1.17

Actual: 0.9 | Diff: -0.27

Adjusted Power Rating
51.4

Attack: 45.4, Defense: 75.7, Form: 34.0

45.5

Attack: 32.3, Defense: 64.6, Form: 43.0

Goal Timing Analysis

2

0-15'

2
2

16-30'

2
3

31-45'

1
2

46-60'

3
1

61-75'

1
2

76-90+'

Atalanta
Cagliari
Atalanta

Power Rating Breakdown

51.4

Overall

Attack 45.4
Defense 75.7
Form 34.0
Consistency 57.7
Cagliari

Power Rating Breakdown

45.5

Overall

Attack 32.3
Defense 64.6
Form 43.0
Consistency 44.8

Strength of Schedule

Measures the difficulty of opponents faced. Higher = tougher schedule.

League Difficulty

85.5 vs 85.5

Opponent Quality

65.9 vs 66.8

Elite Opponent Record

25% vs 0%
Atalanta logo Atalanta
D
Fiorentina (72%)
L
Bologna (58%)
W
AC Milan (63%)
D
Genoa (60%)
L
Cagliari (67%)
D
Lazio (47%)
D
Roma (85%)
L
Juventus (73%)
Cagliari logo Cagliari
D
Sampdoria (48%)
W
AC Milan (63%)
W
Torino (66%)
L
Udinese (63%)
D
Bologna (63%)
W
Atalanta (65%)
L
Inter Milan (88%)
W
Cremonese (62%)

Opponent Quality: Quality blends league strength, recent points form, goal difference, and home/away context. It is not only club size or reputation.

Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Fiorentina A
1 - 1 D
72%
Bologna H
0 - 1 L
58%
AC Milan A
3 - 2 W
63%
Genoa H
0 - 0 D
60%
Cagliari A
2 - 3 L
67%
Lazio H
1 - 1 D
47%
Roma A
1 - 1 D
85%
Juventus H
0 - 1 L
73%
Lecce A
3 - 0 W
70%
Verona H
1 - 0 W
64%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Sampdoria H
0 - 0 D
48%
AC Milan A
2 - 1 W
63%
Torino H
2 - 1 W
66%
Udinese H
0 - 2 L
63%
Bologna A
0 - 0 D
63%
Atalanta H
3 - 2 W
65%
Inter Milan A
0 - 3 L
88%
Cremonese H
1 - 0 W
62%
Sassuolo A
1 - 2 L
80%
Napoli H
0 - 1 L
70%

AI Analysis

The statistics point to a clear direction in this matchup, though the underdog should not be underestimated. When we factor in the quality of opponents each team has faced, the gap narrows slightly but the overall picture remains consistent.

The level of competition each team has encountered is broadly aligned (SoS: 63.5 vs 57.6), which adds credibility to any direct statistical comparisons drawn between these two sides.

The attacking output of Atalanta and Cagliari is virtually identical, with both sides posting averages of 1.2 and 0.9 goals per game respectively.

Defensively, Atalanta and Cagliari are evenly matched, allowing 1.0 and 1.2 goals per game respectively.

Atalanta has struggled against elite opposition, winning only 1 of 4 matches. When the stakes are highest, their performance drops significantly.

Cagliari has struggled against elite opposition, winning only 0 of 3 matches. When the stakes are highest, their performance drops significantly.

Statistical modeling projects 2.1 goals in this fixture. The data points Under 2.5 as the value threshold, while BTTS stands at possible based on both sides' scoring records.

💡 Why This Matters: The 5.9-point power rating gap between these teams translates to approximately a 65% win probability for Atalanta. In practical terms, Atalanta would win 6 out of 10 such matchups.

Atalanta has the edge based on adjusted metrics, but this is far from a foregone conclusion. The 5.9-point power gap suggests an advantage without guaranteeing victory.

In the Italian Serie A (2026-04-27), Cagliari beat Atalanta 3-2. League results are the most consistent indicator of form, and this result speaks volumes about the current dynamic between these teams. Cagliari secured this victory at home, where they tend to be strongest. However, the next encounter could present a different challenge if the venue changes. The narrow 3-2 result shows how tight these encounters are. A single moment of quality or a tactical tweak could swing the next meeting either way. Atalanta will be eager to avenge this defeat. The desire for revenge can be a powerful motivator, and they may come into the next meeting with extra determination. Cagliari will carry a psychological advantage from this recent victory. Knowing you've beaten your opponent recently provides a significant confidence boost.

Match Simulator

AI-powered match simulation based on real statistics

Atalanta

Atalanta

VS
Cagliari

Cagliari

In H2H (head-to-head) matchups, to eliminate momentary fluctuations and coincidences, we limit our analyses to an optimal depth of exactly 10 matches. Neither less, nor more. This focused approach is our undisputed gold standard, revealing the tactical and psychological supremacy teams hold over each other in its purest form. We do not dwell on the noise of the past; we concentrate on the millimetric precision of current form.

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Comparison Summary

This head-to-head comparison analyzes the last 10 matches of each team, evaluating attack power, defensive strength, form consistency, and overall performance metrics. The power ratings are calculated using a weighted algorithm that considers goals scored, goals conceded, win rate, and recent form trends.

Atalanta

3W 4D 3L · 12 goals scored · 10 conceded

Cagliari

4W 2D 4L · 9 goals scored · 12 conceded

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