Football Poisson Calculator
xG-Based Match Probability & Fair Odds Engine
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INPUT EXPECTED GOALS (XG)
Advanced Options
Model uses an enhanced Poisson for football: slightly higher draw probability and favorite outcomes.
PREDICTION SNAPSHOT
Home Win
30.26%
Fair Odds
3.3
Draw
22.87%
Fair Odds
4.37
Away Win
46.87%
Fair Odds
2.13
Most Likely Score
1 - 2
Probability 8.71%
Fair Odds 11.48
Match odds & output
FAIR ODDS COMPARISON
| Market | Market Odds | Fair Odds ? Model-calculated fair price based on probability. | Edge ? Difference between bookmaker odds and model fair odds. Positive edge indicates potential value. |
|---|---|---|---|
| Home Win | 3.3 | — | |
| Draw | 4.37 | — | |
| Away Win | 2.13 | — |
Find Value Opportunities
Compare model fair odds with bookmaker prices to spot positive EV bets.
See Value Bets →
Correct Score Probability & Fair Odds
| # | Correct Score | Prob | Odds |
|---|---|---|---|
| 1 | 1-2 | 8.71% | 11.48 |
| 2 | 1-1 | 8.67% | 11.54 |
| 3 | 2-2 | 7.01% | 14.26 |
| 4 | 2-1 | 6.98% | 14.33 |
| 5 | 1-3 | 5.84% | 17.13 |
| 6 | 0-2 | 5.41% | 18.48 |
| 7 | 0-1 | 5.38% | 18.58 |
| 8 | 2-3 | 4.7% | 21.29 |
| 9 | 1-0 | 4.31% | 23.19 |
| 10 | 3-2 | 3.76% | 26.57 |
SCORE MATRIX
Home Goals ↓ · Away Goals →
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| 0 |
2.68%
37.34
|
5.38%
18.58
|
5.41%
18.48
|
3.62%
27.59
|
1.82%
54.9
|
0.73%
136.57
|
| 1 |
4.31%
23.19
|
8.67%
11.54
|
8.71%
11.48
|
5.84%
17.13
|
2.93%
34.1
|
1.18%
84.82
|
| 2 |
3.47%
28.81
|
6.98%
14.33
|
7.01%
14.26
|
4.7%
21.29
|
2.36%
42.36
|
0.95%
105.37
|
| 3 |
1.86%
53.68
|
3.74%
26.71
|
3.76%
26.57
|
2.52%
39.66
|
1.27%
78.93
|
0.51%
196.35
|
| 4 |
0.75%
133.37
|
1.51%
66.35
|
1.51%
66.02
|
1.01%
98.54
|
0.51%
196.12
|
0.21%
487.8
|
| 5 |
0.24%
414.25
|
0.49%
206.06
|
0.49%
205.04
|
0.33%
306.0
|
0.16%
609.01
|
0.07%
1515.15
|
Any other score (6+ goals either side)
2.3%
·
Fair:
43.42
INDIVIDUAL TEAM TOTAL GOALS
Home Team
| Over | Under | |
|---|---|---|
| 0.5 | 80.01% | 19.99% |
| 1.5 | 47.83% | 52.17% |
| 2.5 | 21.92% | 78.08% |
| 3.5 | 8.02% | 91.98% |
| 4.5 | 2.42% | 97.58% |
Away Team
| Over | Under | |
|---|---|---|
| 0.5 | 86.6% | 13.4% |
| 1.5 | 59.67% | 40.33% |
| 2.5 | 32.6% | 67.4% |
| 3.5 | 14.47% | 85.53% |
| 4.5 | 5.36% | 94.64% |
TOTAL GOALS IN MATCH
| Goals | Prob | Odds |
|---|---|---|
| 0 | 2.68% | 37.34 |
| 1 | 9.70% | 10.31 |
| 2 | 17.55% | 5.70 |
| 3 | 21.18% | 4.72 |
| 4 | 19.16% | 5.22 |
| 5+ | 29.74% | 3.36 |
|
Over 2.5 70.08%
Under 2.5 29.92%
|
||
KEY MARKET PROBABILITIES
1X2
Home Win
30.26%
Draw
22.87%
Away Win
46.87%
Over / Under 2.5
Over 2.5
70.08%
Under 2.5
29.92%
Both to score (BTTS)
Yes
69.29%
No
30.71%
Asian Handicap Probability
?
Probabilities are calculated from the Poisson score model.
Push applies to whole-number Asian handicap lines.
Home Handicap
| Line | Home Side | Push | Away Side |
|---|---|---|---|
| -2.0 | 5.88% 17.01 | 9.11% 10.98 | 85.01% 1.18 |
| -1.5 | 14.98% 6.67 | — | 85.01% 1.18 |
| -1.0 | 14.98% 6.67 | 16.25% 6.15 | 68.76% 1.45 |
| -0.5 | 31.24% 3.2 | — | 68.76% 1.45 |
| 0 (PK) | 31.24% 3.2 | 21.46% 4.66 | 47.3% 2.11 |
| +0.5 | 52.7% 1.9 | — | 47.3% 2.11 |
| +1.0 | 52.7% 1.9 | 20.29% 4.93 | 27.02% 3.7 |
| +1.5 | 72.98% 1.37 | — | 27.02% 3.7 |
| +2.0 | 72.98% 1.37 | 14.19% 7.05 | 12.82% 7.8 |
HOW THE MODEL WORKS
Poisson Distribution
xG Input
Adjustments
Probability Output
All values use the Poisson PMF (Wikipedia, EN).
Limits of the Poisson model
Strong model, with caveats:
- Independent goals = simplifying assumption
- Red cards and game state shifts are not in the model
- Very low/high xG can skew accuracy
SHARE THIS TOOL
How to use the Poisson calculator
- Enter the home xG
- Enter the away xG
- Click Calculate (or use live update)
- Review Correct Score probabilities/fair odds plus match outcome distributions
For anyone doing data-led football work.
Why Poisson helps xG models
xG tracks chance quality, not just past goals.
Benefits such as
- Less noise from finishing luck
- Matches predictions to underlying xG/quality
- Fair-odds from clean probabilities
- Spot model vs book value
Poisson is a staple in football AI / ML stacks.
Frequently asked questions (FAQ)
It models score odds from your xG inputs for the match and markets.
Good for goal counts; pair with xG + form/situational context for best use.
Yes: derive fair prob/odds, compare to books for value-hunting (not a tip service).
Use your best pre-kickoff xG read (team strength, form, opponent) — the tool is agnostic to the source
Yes. Your xG inputs fill the scoreline grid, each line with a probability, same model as 1X2 & BTTS.
Chance each team scores 1+ . Yes/No from the same xG-Poisson as the correct-score view.