Atalanta
— No complete reference snapshot for this forecast.
Atalanta59.3%fair odds 1.69
Draw23.6%fair odds 4.24
Como17.1%fair odds 5.84
Expected goals1.84 – 0.89total 2.73
Likeliest score1–011.5%
Everything on this tab comes from one score matrix: the LOAD90 forecast (EloLambda with attack and defence, availability, playing style and High Congestion) turned into a probability for every scoreline with the Dixon–Coles low-score correction. Fair odds are 1 ÷ probability, with no bookmaker margin. This is a probability model, not betting advice; for odds and value see eScored.
Match Opportunity
How this opponent changes expected goals compared with an average opponent from each team's domestic league.
Como
— No complete reference snapshot for this forecast.
About this comparison
The same LOAD90 model is run against a virtual opponent with the league's average Elo, raw attack and defence parameters and standardised possession, with no extra absences or high congestion. Your team's strength, squad availability, congestion and the match's venue context are kept. This measures opponent opportunity, not a change in your team's form. Positive attack change is favorable; negative conceding change is favorable. Clean-sheet changes are percentage points. Values are locked at kick-off.
Score matrix
| Atalanta ↓ · Como → | 0 | 1 | 2 | 3 | 4 | 5 | 6+ |
|---|---|---|---|---|---|---|---|
| 0 | 7.1 | 5.2 | 2.6 | 0.8 | 0.2 | 0.0 | 0.0 |
| 1 | 11.5 | 11.2 | 4.7 | 1.4 | 0.3 | 0.1 | 0.0 |
| 2 | 11.1 | 9.8 | 4.4 | 1.3 | 0.3 | 0.1 | 0.0 |
| 3 | 6.8 | 6.0 | 2.7 | 0.8 | 0.2 | 0.0 | 0.0 |
| 4 | 3.1 | 2.8 | 1.2 | 0.4 | 0.1 | 0.0 | 0.0 |
| 5 | 1.2 | 1.0 | 0.5 | 0.1 | 0.0 | 0.0 | 0.0 |
| 6+ | 0.5 | 0.4 | 0.2 | 0.1 | 0.0 | 0.0 | 0.0 |
Chance of each exact score, in %. Rows are Atalanta goals, columns Como goals; 6+ adds up six goals or more.
Most likely scores
- 1–011.5%8.71
- 1–111.2%8.89
- 2–011.1%9.02
- 2–19.8%10.18
- 0–07.1%14.06
- 3–06.8%14.71
- 3–16.0%16.60
- 0–15.2%19.09
- 1–24.7%21.14
- 2–24.4%22.98
Winning margin
16.4%
Atalanta by 3+
fair 6.08
18.5%
Atalanta by 2
fair 5.41
24.4%
Atalanta by 1
fair 4.10
23.6%
Draw
fair 4.24
11.4%
Como by 1
fair 8.74
4.3%
Como by 2
fair 23.33
1.4%
Como by 3+
fair 71.37
Goal distribution
Total goals
7%0
17%1
25%2
22%3
15%4
14%5+
Atalanta goals
16%0
29%1
27%2
16%3
12%4+
Como goals
41%0
37%1
16%2
5%3
1%4+
LOAD90 vs pure EloLambda
| LOAD90 | EloLambda | Change | |
|---|---|---|---|
| Atalanta win | 59.3% | 60.9% | -1.6 pp |
| Draw | 23.6% | 22.4% | +1.2 pp |
| Como win | 17.1% | 16.7% | +0.4 pp |
| Over 2.5 | 51.3% | 55.3% | -4.0 pp |
| Both teams score | 50.0% | 52.6% | -2.6 pp |
| Expected goals Atalanta | 1.84 | 1.96 | -0.12 |
| Expected goals Como | 0.89 | 0.93 | -0.04 |
EloLambda is the stable eScored model without the LOAD90 factors. The change column is what playing style and High Congestion add for this match; see the methodology.
All markets model probability and fair odds
Result
- Atalanta win59.3%1.69
- Draw23.6%4.24
- Como win17.1%5.84
- Double chance Atalanta or draw82.9%1.21
- Double chance Atalanta or Como76.4%1.31
- Double chance Como or draw40.7%2.46
- Draw no bet Atalanta77.6%1.29
- Draw no bet Como22.4%4.46
Goals
- Over 0.592.9%1.08
- Over 1.576.2%1.31
- Over 2.551.3%1.95
- Over 3.529.2%3.43
- Over 4.514.1%7.09
- Under 1.523.8%4.20
- Under 2.548.7%2.05
- Under 3.570.8%1.41
Both teams to score
- Yes50.0%2.00
- No50.0%2.00
- Yes and over 2.538.8%2.58
- Atalanta win and yes25.2%3.97
- Draw and yes16.5%6.07
- Como win and yes8.4%11.96
Team goals
- Atalanta over 0.584.1%1.19
- Atalanta over 1.554.9%1.82
- Atalanta over 2.528.0%3.57
- Como over 0.558.8%1.70
- Como over 1.522.2%4.49
- Como over 2.56.1%16.50
- Atalanta clean sheet41.2%2.43
- Como clean sheet15.9%6.29
- Atalanta win to nil34.1%2.93
- Como win to nil8.8%11.40
Handicap
- Atalanta −1.534.9%2.86
- Atalanta −2.516.4%6.08
- Como +1.565.1%1.54
- Como +2.583.6%1.20
- Como −1.55.7%17.58
- Atalanta +1.594.3%1.06
Corners, cards and shots are not forecast by LOAD90; their actual averages are on the Overview tab.
Model track record Serie A 2025-2026
All LOAD90 forecasts before this match.
Matches scored54
Favourite won51.9%
Avg chance given to result40.9%
1X2 Brier0.610
Over 2.5 called right55.6%
BTTS called right48.1%
Calibration · when the favourite was given…
| Favourite chance | Matches | Predicted | Actually won |
|---|---|---|---|
| 30–40% | 8 | 37.6% | 62.5% |
| 40–50% | 17 | 44.3% | 41.2% |
| 50–60% | 11 | 52.8% | 36.4% |
| 60–70% | 8 | 63.4% | 62.5% |
| 70–80% | 5 | 73.0% | 80.0% |
| 80%+ | 5 | 81.9% | 60.0% |
LOAD90 vs Bookmaker
Compared on the same 34 of 54 scored matches.
| LOAD90 | Bookmaker | |
|---|---|---|
| 1X2 Brier (lower is better) | 0.6123 | 0.5875 |
| Avg chance given to result | 40.1% | 40.7% |
| Favourite won | 50.0% | 52.9% |
Bookmaker probabilities come from pre-match 1X2 odds supplied by eScored, with the margin removed. Prices may have been recorded at different times before kick-off. Bookmaker identity is unavailable for 34 archived lines; these prices may come from different bookmakers.
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Pre-match forecasts only. 0 of 54 were published live before kick-off; the rest were rebuilt after the match from pre-match data, never using the result. Numbers are home · draw · away chances, the actual result in bold. A good model's favourites in the 60–70% row should win about 65% of the time.