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Football Predictions Today

Wednesday, 4 November 2026 · 9 matches analysed

Poisson-based predictions built from each team's last 10 finished matches, home/away splits, and the league's own scoring baseline. Every number you see is a calibrated probability — no black-box confidence scores.

High Confidence (70%+) Medium (55-69%) Low (<55%)

Champions League (9 matches)

17:45 GMT
53% confidence
PAE AEK

PAE AEK

LLW
Most Likely Score
2-2
Away Win
Real Madrid

Real Madrid

WWW
2.11
xG Home
4.95
xG Total
2.84
xG Away
83%
BTTS Prob
28%
PAE AEK Win
19%
Draw
53%
Real Madrid Win

Betting Tips

Double Chance
Real Madrid or Draw
72%
Over/Under Goals
Over 2.5 Goals
87%
BTTS
Both Teams to Score — Yes
83%
Full Analysis & Top Scorelines

PAE AEK 1W 0D 2L in their last 3 matches (1 scored, 2.67 conceded per game). Real Madrid 3W 0D 0L from their last 3 (3.33 / 1.67 per game). The model projects 2.11 expected goals for PAE AEK and 2.84 for Real Madrid (Dixon–Coles-corrected Poisson, 40-day form half-life, strength-of-schedule adjusted). Probabilities: 28% PAE AEK, 19% draw, 53% Real Madrid. Goal totals favour Over 2.5 (87%) — look at the goals markets. Both teams scoring looks likely (83%). Real Madrid have the numbers, though away wins are never straightforward. Draw No Bet hedges.

Top 4 Scorelines (Poisson)
2-2
6%
1-2
6%
2-3
6%
1-3
6%
PAE AEK Stats
  • Clean Sheet Rate: 33%
  • BTTS Rate: 67%
  • Goals/Game: 1
  • Conceded/Game: 2.67
Real Madrid Stats
  • Clean Sheet Rate: 0%
  • BTTS Rate: 100%
  • Goals/Game: 3.33
  • Conceded/Game: 1.67
17:45 GMT
48% confidence
Fenerbahçe

Fenerbahçe

DLD
Most Likely Score
2-1
Home Win
Liverpool

Liverpool

WWW
2.41
xG Home
4.35
xG Total
1.93
xG Away
79%
BTTS Prob
48%
Fenerbahçe Win
21%
Draw
31%
Liverpool Win

Betting Tips

Double Chance
Fenerbahçe or Draw
69%
Over/Under Goals
Over 2.5 Goals
81%
BTTS
Both Teams to Score — Yes
79%
Full Analysis & Top Scorelines

Fenerbahçe 0W 2D 1L in their last 3 matches (1 scored, 3 conceded per game). Liverpool 3W 0D 0L from their last 3 (4 / 2.33 per game). At home specifically, Fenerbahçe are averaging 1.50 scored and 1.50 conceded. The model projects 2.41 expected goals for Fenerbahçe and 1.93 for Liverpool (Dixon–Coles-corrected Poisson, 40-day form half-life, strength-of-schedule adjusted). Probabilities: 48% Fenerbahçe, 21% draw, 31% Liverpool. Goal totals favour Over 2.5 (81%) — look at the goals markets. Both teams scoring looks likely (79%). Fenerbahçe are favoured but it's not a banker — Double Chance reduces the risk.

Top 4 Scorelines (Poisson)
2-1
7%
2-2
7%
1-1
7%
3-1
6%
Fenerbahçe Stats
  • Clean Sheet Rate: 0%
  • BTTS Rate: 67%
  • Goals/Game: 1
  • Conceded/Game: 3
Liverpool Stats
  • Clean Sheet Rate: 0%
  • BTTS Rate: 100%
  • Goals/Game: 4
  • Conceded/Game: 2.33
20:00 GMT
40% confidence
RB Leipzig

RB Leipzig

LWL
Most Likely Score
2-2
Home Win
Man City

Man City

WLW
2.21
xG Home
4.38
xG Total
2.17
xG Away
80%
BTTS Prob
40%
RB Leipzig Win
21%
Draw
39%
Man City Win

Betting Tips

Double Chance
RB Leipzig or Draw
61%
Over/Under Goals
Over 2.5 Goals
81%
BTTS
Both Teams to Score — Yes
80%
Full Analysis & Top Scorelines

RB Leipzig 1W 0D 2L in their last 3 matches (1 scored, 2.67 conceded per game). Man City 2W 0D 1L from their last 3 (3 / 1.67 per game). The model projects 2.21 expected goals for RB Leipzig and 2.17 for Man City (Dixon–Coles-corrected Poisson, 40-day form half-life, strength-of-schedule adjusted). Probabilities: 40% RB Leipzig, 21% draw, 39% Man City. Goal totals favour Over 2.5 (81%) — look at the goals markets. Both teams scoring looks likely (80%). RB Leipzig are favoured but it's not a banker — Double Chance reduces the risk.

Top 4 Scorelines (Poisson)
2-2
7%
1-1
7%
2-1
7%
1-2
7%
RB Leipzig Stats
  • Clean Sheet Rate: 33%
  • BTTS Rate: 67%
  • Goals/Game: 1
  • Conceded/Game: 2.67
Man City Stats
  • Clean Sheet Rate: 33%
  • BTTS Rate: 67%
  • Goals/Game: 3
  • Conceded/Game: 1.67
20:00 GMT
75% confidence
Slavia Praha

Slavia Praha

DLL
Most Likely Score
1-3
Away Win
Arsenal

Arsenal

DWW
1.41
xG Home
4.92
xG Total
3.51
xG Away
74%
BTTS Prob
11%
Slavia Praha Win
13%
Draw
75%
Arsenal Win

Betting Tips

Match Result
Arsenal to Win
75%
Over/Under Goals
Over 2.5 Goals
86%
BTTS
Both Teams to Score — Yes
74%
Full Analysis & Top Scorelines

Slavia Praha 0W 1D 2L in their last 3 matches (1.33 scored, 2.33 conceded per game). Arsenal 2W 1D 0L from their last 3 (2 / 0.67 per game). On the road, Arsenal are averaging 1.50 scored and 1.00 conceded. The model projects 1.41 expected goals for Slavia Praha and 3.51 for Arsenal (Dixon–Coles-corrected Poisson, 40-day form half-life, strength-of-schedule adjusted). Probabilities: 11% Slavia Praha, 13% draw, 75% Arsenal. Goal totals favour Over 2.5 (86%) — look at the goals markets. Both teams scoring looks likely (74%).

Top 4 Scorelines (Poisson)
1-3
8%
1-4
7%
1-2
7%
0-3
5%
Slavia Praha Stats
  • Clean Sheet Rate: 0%
  • BTTS Rate: 67%
  • Goals/Game: 1.33
  • Conceded/Game: 2.33
Arsenal Stats
  • Clean Sheet Rate: 67%
  • BTTS Rate: 33%
  • Goals/Game: 2
  • Conceded/Game: 0.67
20:00 GMT
79% confidence
PSV

PSV

WLD
Most Likely Score
1-4
Away Win
Club Brugge

Club Brugge

WWL
1.54
xG Home
5.58
xG Total
4.04
xG Away
77%
BTTS Prob
10%
PSV Win
11%
Draw
79%
Club Brugge Win

Betting Tips

Match Result
Club Brugge to Win
79%
Over/Under Goals
Over 2.5 Goals
91%
BTTS
Both Teams to Score — Yes
77%
Full Analysis & Top Scorelines

PSV 1W 1D 1L in their last 3 matches (0.67 scored, 0.67 conceded per game). Club Brugge 2W 0D 1L from their last 3 (3 / 2 per game). The model projects 1.54 expected goals for PSV and 4.04 for Club Brugge (Dixon–Coles-corrected Poisson, 40-day form half-life, strength-of-schedule adjusted). Probabilities: 10% PSV, 11% draw, 79% Club Brugge. Goal totals favour Over 2.5 (91%) — look at the goals markets. Both teams scoring looks likely (77%).

Top 4 Scorelines (Poisson)
1-4
7%
1-3
7%
1-5
6%
2-4
5%
PSV Stats
  • Clean Sheet Rate: 33%
  • BTTS Rate: 33%
  • Goals/Game: 0.67
  • Conceded/Game: 0.67
Club Brugge Stats
  • Clean Sheet Rate: 33%
  • BTTS Rate: 67%
  • Goals/Game: 3
  • Conceded/Game: 2
20:00 GMT
53% confidence
Dortmund

Dortmund

WLW
Most Likely Score
2-1
Home Win
Real Betis

Real Betis

WWW
2.69
xG Home
4.64
xG Total
1.95
xG Away
81%
BTTS Prob
53%
Dortmund Win
19%
Draw
27%
Real Betis Win

Betting Tips

Double Chance
Dortmund or Draw
73%
Over/Under Goals
Over 2.5 Goals
84%
BTTS
Both Teams to Score — Yes
81%
Full Analysis & Top Scorelines

Dortmund 2W 0D 1L in their last 3 matches (1.67 scored, 1.33 conceded per game). Real Betis 3W 0D 0L from their last 3 (2.33 / 1.33 per game). The model projects 2.69 expected goals for Dortmund and 1.95 for Real Betis (Dixon–Coles-corrected Poisson, 40-day form half-life, strength-of-schedule adjusted). Probabilities: 53% Dortmund, 19% draw, 27% Real Betis. Goal totals favour Over 2.5 (84%) — look at the goals markets. Both teams scoring looks likely (81%). Dortmund are favoured but it's not a banker — Double Chance reduces the risk.

Top 4 Scorelines (Poisson)
2-1
7%
2-2
7%
3-1
6%
3-2
6%
Dortmund Stats
  • Clean Sheet Rate: 0%
  • BTTS Rate: 67%
  • Goals/Game: 1.67
  • Conceded/Game: 1.33
Real Betis Stats
  • Clean Sheet Rate: 33%
  • BTTS Rate: 67%
  • Goals/Game: 2.33
  • Conceded/Game: 1.33
20:00 GMT
71% confidence
Porto

Porto

LLL
Most Likely Score
3-1
Home Win
Napoli

Napoli

WLL
3.31
xG Home
4.83
xG Total
1.51
xG Away
76%
BTTS Prob
71%
Porto Win
15%
Draw
14%
Napoli Win

Betting Tips

Match Result
Porto to Win
71%
Over/Under Goals
Over 2.5 Goals
86%
BTTS
Both Teams to Score — Yes
76%
Full Analysis & Top Scorelines

Porto 0W 0D 3L in their last 3 matches (0.67 scored, 2 conceded per game). Napoli 1W 0D 2L from their last 3 (1.67 / 2.33 per game). At home specifically, Porto are averaging 0.00 scored and 1.50 conceded. The model projects 3.31 expected goals for Porto and 1.51 for Napoli (Dixon–Coles-corrected Poisson, 40-day form half-life, strength-of-schedule adjusted). Probabilities: 71% Porto, 15% draw, 14% Napoli. Goal totals favour Over 2.5 (86%) — look at the goals markets. Both teams scoring looks likely (76%).

Top 4 Scorelines (Poisson)
3-1
8%
2-1
7%
4-1
6%
3-2
6%
Porto Stats
  • Clean Sheet Rate: 0%
  • BTTS Rate: 33%
  • Goals/Game: 0.67
  • Conceded/Game: 2
Napoli Stats
  • Clean Sheet Rate: 0%
  • BTTS Rate: 67%
  • Goals/Game: 1.67
  • Conceded/Game: 2.33
20:00 GMT
48% confidence
RC Lens

RC Lens

LLW
Most Likely Score
2-1
Home Win
Como 1907

Como 1907

WLW
2.46
xG Home
4.43
xG Total
1.97
xG Away
79%
BTTS Prob
48%
RC Lens Win
21%
Draw
31%
Como 1907 Win

Betting Tips

Double Chance
RC Lens or Draw
69%
Over/Under Goals
Over 2.5 Goals
82%
BTTS
Both Teams to Score — Yes
79%
Full Analysis & Top Scorelines

RC Lens 1W 0D 2L in their last 3 matches (1 scored, 2.33 conceded per game). Como 1907 2W 0D 1L from their last 3 (3.33 / 1.67 per game). The model projects 2.46 expected goals for RC Lens and 1.97 for Como 1907 (Dixon–Coles-corrected Poisson, 40-day form half-life, strength-of-schedule adjusted). Probabilities: 48% RC Lens, 21% draw, 31% Como 1907. Goal totals favour Over 2.5 (82%) — look at the goals markets. Both teams scoring looks likely (79%). RC Lens are favoured but it's not a banker — Double Chance reduces the risk.

Top 4 Scorelines (Poisson)
2-1
7%
2-2
7%
1-1
7%
3-1
6%
RC Lens Stats
  • Clean Sheet Rate: 0%
  • BTTS Rate: 33%
  • Goals/Game: 1
  • Conceded/Game: 2.33
Como 1907 Stats
  • Clean Sheet Rate: 0%
  • BTTS Rate: 100%
  • Goals/Game: 3.33
  • Conceded/Game: 1.67
20:00 GMT
73% confidence
Viking

Viking

LDL
Most Likely Score
3-1
Home Win
Sabah FK

Sabah FK

LWL
3.47
xG Home
4.97
xG Total
1.5
xG Away
76%
BTTS Prob
73%
Viking Win
14%
Draw
13%
Sabah FK Win

Betting Tips

Match Result
Viking to Win
73%
Over/Under Goals
Over 2.5 Goals
87%
BTTS
Both Teams to Score — Yes
76%
Full Analysis & Top Scorelines

Viking 0W 1D 2L in their last 3 matches (1.67 scored, 3 conceded per game). Sabah FK 1W 0D 2L from their last 3 (1 / 2 per game). The model projects 3.47 expected goals for Viking and 1.50 for Sabah FK (Dixon–Coles-corrected Poisson, 40-day form half-life, strength-of-schedule adjusted). Probabilities: 73% Viking, 14% draw, 13% Sabah FK. Goal totals favour Over 2.5 (87%) — look at the goals markets. Both teams scoring looks likely (76%).

Top 4 Scorelines (Poisson)
3-1
7%
4-1
6%
2-1
6%
3-2
6%
Viking Stats
  • Clean Sheet Rate: 0%
  • BTTS Rate: 100%
  • Goals/Game: 1.67
  • Conceded/Game: 3
Sabah FK Stats
  • Clean Sheet Rate: 33%
  • BTTS Rate: 33%
  • Goals/Game: 1
  • Conceded/Game: 2

What's Behind These Predictions

Every prediction on this page is built from the last 10 completed matches for each team — goals scored, goals conceded, home vs. away splits, clean sheets, BTTS rates. From those we derive attack and defense strengths relative to the league's own baseline, feed them into a Poisson model, and read off the probability of every scoreline from 0-0 up to 7-7. The headline prediction is whichever of home/draw/away has the highest mass on that grid.

We show the expected goals (xG) for both sides, the full 1X2 probability breakdown, and the top four most-likely scorelines. You can see every number we use. That's deliberate. Tipster culture thrives on black boxes — "trust my expert pick" with no reasoning. We'd rather show the working. If you want to understand the stats deeper, start with our xG explainer or the broader football stats for betting guide.

What the Confidence Rating Means

The percentage next to each prediction is a calibrated probability from the Poisson model — not a hype metric. 62% means the model literally projects a 62% chance of that outcome happening, summed across the scorelines grid. That lets you compare it directly to bookmaker odds: if the implied probability on a price is below the model's, there's value; if it's above, pass.

  • 70%+ — Large form/xG gap. The model is confident. Look for value at enhanced prices.
  • 55-69% — Clear lean. Double Chance or Draw No Bet are the safer routes.
  • Below 55% — Too close. Either pass or fold into a combo bet like BTTS + Over.

No model gets every match right. If someone claims 85%+ accuracy across all picks, they're lying or cherry-picking. Our goal is to beat the implied probability of the odds — which is where disciplined staking comes in.

Three Markets, One Page

Each match above covers the three most popular football betting markets:

  • Match Result (1X2) — home win, draw, or away win. The beginner's guide covers the basics.
  • Over/Under 2.5 Goals — Poisson gives us the direct probability of 3+ goals from the expected goal rates.
  • BTTS — probability both sides score at least once, computed from the joint Poisson grid.

Looking for something more specific? We also cover Asian Handicap, Correct Score, and Bet Builder strategies in our guides.

Frequently Asked Questions

How accurate are your football predictions?
The Poisson model is the industry standard for football goal-based markets — it doesn't claim to predict every match correctly (nobody can) but it produces calibrated probabilities. High-confidence picks (70%+) have a genuine xG and form gap between the two sides. Lower-confidence picks are closer to coin flips — treat them accordingly.
When are today's predictions updated?
Every time you load this page, it pulls live data and re-runs the Poisson model. Our match database syncs every 15 minutes — if a result came in an hour ago, the form data already reflects it. No caching, no stale tips from yesterday.
Which leagues do you cover for predictions?
Currently six major competitions: Premier League, Champions League, La Liga, Serie A, Bundesliga, and Ligue 1. We focus on leagues where our match data is comprehensive enough to produce meaningful form analysis and stable per-league baselines.
What does BTTS mean in football predictions?
BTTS = Both Teams to Score. We sum the Poisson grid across every cell where both home and away goals are 1 or higher — that gives the probability both sides find the net. Teams with strong attack plus leaky defense produce high BTTS probabilities; clean-sheet specialists suppress them.
What does Over 2.5 Goals mean?
Over 2.5 Goals means the match produces 3 or more total goals. We compute the probability by summing Poisson(home) × Poisson(away) across every cell where goals_home + goals_away ≥ 3. Because this uses expected goals rather than raw averages, it handles home/away asymmetry and sparse-data cases correctly.

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Disclaimer: Predictions are based on statistical analysis and do not guarantee outcomes. Gambling involves risk — always bet responsibly and within your means. 18+ only. Responsible Gambling | BeGambleAware.org