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
32.85%
Fair Odds
3.04
Draw
26.93%
Fair Odds
3.71
Away Win
40.22%
Fair Odds
2.49
Most Likely Score
1 - 1
Probability 12.02%
Fair Odds 8.32
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 | 3.04 | — | |
| Draw | 3.71 | — | |
| Away Win | 2.49 | — |
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 | 1-1 | 12.02% | 8.32 |
| 2 | 0-1 | 9.18% | 10.9 |
| 3 | 1-2 | 8.72% | 11.47 |
| 4 | 1-0 | 8.29% | 12.06 |
| 5 | 2-1 | 7.87% | 12.7 |
| 6 | 0-2 | 6.65% | 15.03 |
| 7 | 0-0 | 6.33% | 15.8 |
| 8 | 2-2 | 5.71% | 17.52 |
| 9 | 2-0 | 5.43% | 18.41 |
| 10 | 1-3 | 4.21% | 23.74 |
SCORE MATRIX
Home Goals ↓ · Away Goals →
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| 0 |
6.33%
15.8
|
9.18%
10.9
|
6.65%
15.03
|
3.22%
31.1
|
1.17%
85.78
|
0.34%
295.77
|
| 1 |
8.29%
12.06
|
12.02%
8.32
|
8.72%
11.47
|
4.21%
23.74
|
1.53%
65.48
|
0.44%
225.78
|
| 2 |
5.43%
18.41
|
7.87%
12.7
|
5.71%
17.52
|
2.76%
36.24
|
1.0%
99.97
|
0.29%
344.71
|
| 3 |
2.37%
42.17
|
3.44%
29.08
|
2.49%
40.11
|
1.2%
82.99
|
0.44%
228.94
|
0.13%
789.27
|
| 4 |
0.78%
128.77
|
1.13%
88.8
|
0.82%
122.49
|
0.39%
253.42
|
0.14%
699.3
|
0.04%
2409.64
|
| 5 |
0.2%
491.4
|
0.29%
338.98
|
0.21%
467.51
|
0.1%
967.12
|
0.04%
2666.67
|
0.01%
9174.31
|
Any other score (6+ goals either side)
0.61%
·
Fair:
164.07
INDIVIDUAL TEAM TOTAL GOALS
Home Team
| Over | Under | |
|---|---|---|
| 0.5 | 73.02% | 26.98% |
| 1.5 | 37.67% | 62.33% |
| 2.5 | 14.52% | 85.48% |
| 3.5 | 4.41% | 95.59% |
| 4.5 | 1.1% | 98.9% |
Away Team
| Over | Under | |
|---|---|---|
| 0.5 | 76.54% | 23.46% |
| 1.5 | 42.53% | 57.47% |
| 2.5 | 17.87% | 82.13% |
| 3.5 | 5.95% | 94.05% |
| 4.5 | 1.63% | 98.37% |
TOTAL GOALS IN MATCH
| Goals | Prob | Odds |
|---|---|---|
| 0 | 6.33% | 15.80 |
| 1 | 17.47% | 5.72 |
| 2 | 24.11% | 4.15 |
| 3 | 22.18% | 4.51 |
| 4 | 15.30% | 6.53 |
| 5+ | 14.61% | 6.84 |
|
Over 2.5 52.1%
Under 2.5 47.9%
|
||
KEY MARKET PROBABILITIES
1X2
Home Win
32.85%
Draw
26.93%
Away Win
40.22%
Over / Under 2.5
Over 2.5
52.1%
Under 2.5
47.9%
Both to score (BTTS)
Yes
55.89%
No
44.11%
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 | 5.21% 19.21 | 9.8% 10.21 | 85.0% 1.18 |
| -1.5 | 15.0% 6.66 | — | 85.0% 1.18 |
| -1.0 | 15.0% 6.66 | 19.09% 5.24 | 65.9% 1.52 |
| -0.5 | 34.1% 2.93 | — | 65.9% 1.52 |
| 0 (PK) | 34.1% 2.93 | 25.42% 3.93 | 40.48% 2.47 |
| +0.5 | 59.52% 1.68 | — | 40.48% 2.47 |
| +1.0 | 59.52% 1.68 | 21.13% 4.73 | 19.35% 5.17 |
| +1.5 | 80.65% 1.24 | — | 19.35% 5.17 |
| +2.0 | 80.65% 1.24 | 12.0% 8.33 | 7.34% 13.62 |
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.