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
41.66%
Fair Odds
2.4
Draw
22.68%
Fair Odds
4.41
Away Win
35.65%
Fair Odds
2.8
Most Likely Score
1 - 1
Probability 8.1%
Fair Odds 12.34
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 | 2.4 | — | |
| Draw | 4.41 | — | |
| Away Win | 2.8 | — |
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 | 8.1% | 12.34 |
| 2 | 2-1 | 7.94% | 12.59 |
| 3 | 1-2 | 7.42% | 13.48 |
| 4 | 2-2 | 7.27% | 13.76 |
| 5 | 3-1 | 5.19% | 19.27 |
| 6 | 3-2 | 4.75% | 21.06 |
| 7 | 1-3 | 4.52% | 22.11 |
| 8 | 2-3 | 4.43% | 22.56 |
| 9 | 1-0 | 4.43% | 22.58 |
| 10 | 2-0 | 4.34% | 23.04 |
SCORE MATRIX
Home Goals ↓ · Away Goals →
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| 0 |
2.26%
44.26
|
4.13%
24.18
|
3.78%
26.43
|
2.31%
43.33
|
1.06%
94.71
|
0.39%
258.73
|
| 1 |
4.43%
22.58
|
8.1%
12.34
|
7.42%
13.48
|
4.52%
22.11
|
2.07%
48.32
|
0.76%
132.01
|
| 2 |
4.34%
23.04
|
7.94%
12.59
|
7.27%
13.76
|
4.43%
22.56
|
2.03%
49.3
|
0.74%
134.72
|
| 3 |
2.84%
35.27
|
5.19%
19.27
|
4.75%
21.06
|
2.9%
34.53
|
1.33%
75.47
|
0.48%
206.19
|
| 4 |
1.39%
71.97
|
2.54%
39.33
|
2.33%
42.98
|
1.42%
70.46
|
0.65%
154.01
|
0.24%
420.88
|
| 5 |
0.54%
183.59
|
1.0%
100.33
|
0.91%
109.65
|
0.56%
179.76
|
0.25%
392.93
|
0.09%
1072.96
|
Any other score (6+ goals either side)
2.62%
·
Fair:
38.23
INDIVIDUAL TEAM TOTAL GOALS
Home Team
| Over | Under | |
|---|---|---|
| 0.5 | 85.91% | 14.09% |
| 1.5 | 58.31% | 41.69% |
| 2.5 | 31.25% | 68.75% |
| 3.5 | 13.57% | 86.43% |
| 4.5 | 4.91% | 95.09% |
Away Team
| Over | Under | |
|---|---|---|
| 0.5 | 83.96% | 16.04% |
| 1.5 | 54.6% | 45.4% |
| 2.5 | 27.74% | 72.26% |
| 3.5 | 11.36% | 88.64% |
| 4.5 | 3.86% | 96.14% |
TOTAL GOALS IN MATCH
| Goals | Prob | Odds |
|---|---|---|
| 0 | 2.26% | 44.26 |
| 1 | 8.56% | 11.68 |
| 2 | 16.23% | 6.16 |
| 3 | 20.50% | 4.88 |
| 4 | 19.43% | 5.15 |
| 5+ | 33.02% | 3.03 |
|
Over 2.5 72.95%
Under 2.5 27.05%
|
||
KEY MARKET PROBABILITIES
1X2
Home Win
41.66%
Draw
22.68%
Away Win
35.65%
Over / Under 2.5
Over 2.5
72.95%
Under 2.5
27.05%
Both to score (BTTS)
Yes
72.13%
No
27.87%
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 | 10.6% 9.44 | 12.5% 8.0 | 76.9% 1.3 |
| -1.5 | 23.1% 4.33 | — | 76.9% 1.3 |
| -1.0 | 23.1% 4.33 | 18.83% 5.31 | 58.07% 1.72 |
| -0.5 | 41.93% 2.39 | — | 58.07% 1.72 |
| 0 (PK) | 41.93% 2.39 | 21.28% 4.7 | 36.79% 2.72 |
| +0.5 | 63.21% 1.58 | — | 36.79% 2.72 |
| +1.0 | 63.21% 1.58 | 17.58% 5.69 | 19.21% 5.2 |
| +1.5 | 80.79% 1.24 | — | 19.21% 5.2 |
| +2.0 | 80.79% 1.24 | 10.9% 9.17 | 8.31% 12.03 |
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.