Markets openEurope's Top 5 Leagues · Form & market data

Football teams. Read like an asset.

96 teams tracked with form, xG, Asian-handicap coverage, over/BTTS rates and pre-match odds — compare sides side-by-side, not row-by-row.

Teams tracked
96
top-5 leagues
In form
9
model rating ≥ 70
Avg AH cover
50%
Asian handicap

96 teams tracked with form, xG, Asian-handicap coverage, over/BTTS rates and pre-match odds — compare sides side-by-side, not row-by-row.

FilterIn-formAH cover ≥ 58%SteamingGoal machinesShowing 96 teams
#Position in this list under the current sort — not the league table. Team · FormClub name and its last five league results, oldest on the left: W win, D draw, L loss. Click the name to open the team page.Next matchNext scheduled fixture — “vs” means home, “@” means away. Below it: competition, kick-off date and the line move since opening, if the market has shifted.Pos / PtsCurrent league-table position and points won this season.PPGPoints per game — season points divided by matches played. 3.00 is a perfect record.xG F/AExpected goals for and against per game — reveals finishing efficiency vs underlying chance quality.GF/GAGoals scored and goals conceded this season.BTTS%Share of this team’s matches in which both teams scored.O2.5%Share of matches that finished with three or more goals — the Over 2.5 line.AH%Share of matches where the team beat its Asian-handicap line (a push counts as half).RatingModel rating 0–100: composite of form, xG balance and schedule strength across tracked leagues.
1
Bayern München
WWDWWBundes
Off-season
#189 pts
2.622.9 / 0.7122 / 36
94%
63%
65%92
2
Arsenal
ArsenalIN-FORM
WWWWWEPL
Off-season
#185 pts
2.241.9 / 0.871 / 27
56%
47%
47%89
3
Real Madrid
WWWLWLaLiga
@Valencia
Valencia
LaLiga · 8 Nov
#286 pts
2.262.5 / 1.277 / 35
55%
47%
55%84
4
Inter
InterIN-FORM
DDWWDSerieA
Off-season
#187 pts
2.292.4 / 0.989 / 35
55%
59%
47%78
5
AS Roma
AS RomaIN-FORM
WWWWWSerieA
Off-season
#373 pts
1.921.4 / 1.259 / 31
38%
64%
35%76
6
Paris Saint Germain
LWWDWLigue1
Off-season
#176 pts
2.242.1 / 1.074 / 29
62%
41%
41%76
7
Barcelona
BarcelonaIN-FORM
LWLWWLaLiga
@Atletico Madrid
Madrid
LaLiga · 8 Nov↑0.0%
#194 pts
2.472.5 / 1.595 / 36
74%
66%
58%74
8
Manchester United
WWDWWEPL
Off-season
#371 pts
1.871.9 / 1.469 / 50
63%
50%
71%73
9
Como
ComoIN-FORM
WWWDWSerieA
Off-season
#471 pts
1.871.4 / 1.365 / 29
45%
55%
42%70
10
Atletico Madrid
LWWLWLaLiga
vsBarcelona
Barcelona
LaLiga · 8 Nov↑0.0%
#469 pts
1.822.0 / 1.062 / 44
50%
41%
53%68
11
Napoli
WWLDWSerieA
Off-season
#276 pts
2.001.7 / 1.158 / 36
54%
46%
49%68
12Off-season
#278 pts
2.052.0 / 1.177 / 35
63%
50%
50%67
13Off-season
#273 pts
2.151.7 / 1.170 / 34
56%
57%
50%66
14
RB Leipzig
LWLWWBundes
Off-season
#365 pts
1.912.0 / 1.366 / 47
71%
53%
62%66
15
Lens
LensAH COVER
WLWDDLigue1
Off-season
#270 pts
2.062.2 / 1.466 / 35
65%
59%
50%65
16
Marseille
WWLDLLigue1
Off-season
#559 pts
1.742.1 / 1.063 / 45
62%
47%
50%63
17
Real Betis
WLWDWLaLiga
@Elche
Elche
LaLiga · 8 Nov↓0.1%
#560 pts
1.581.6 / 1.259 / 48
53%
53%
68%62
18
Lille
LWDWDLigue1
Off-season
#361 pts
1.792.0 / 1.452 / 37
38%
51%
38%62
19
Bayer Leverkusen
DLWWLBundes
Off-season
#659 pts
1.742.2 / 1.368 / 47
59%
53%
65%61
20
Strasbourg
WWDLWLigue1
Off-season
#853 pts
1.561.9 / 1.558 / 47
64%
56%
64%61
Model rating
0–100
Composite of form, xG balance and schedule strength across tracked leagues
AH cover %
Season
Share of matches where the team beat its Asian-handicap line (push = half)
xG balance
Per game
Expected goals for and against — reveals finishing efficiency vs underlying chance quality

Reading a Club Like an Asset

Why a team hub, not just a squad list?

Most club pages online are a name, a badge and a fixture list. This hub treats every side from Europe's top five leagues — the Premier League, La Liga, Serie A, Bundesliga and Ligue 1 — as a data profile: current form, expected-goals balance, BTTS and Over 2.5 rates, and Asian-handicap cover, all pulled from the same league tables and fixture feed that power the match hub. The goal is to let you scan a club's underlying performance in one pass, not click through ten pages to reconstruct it yourself.

What does xG balance actually tell you?

Points and league position describe what happened; expected goals describes how it happened. A team overperforming its xG is riding finishing variance that tends to regress, while a side under its xG is usually a better team than the table suggests. Neither reading is a betting signal on its own — it is context for interpreting a club's recent results before you look at a market price.

How do form, BTTS and cover rates fit together?

A five-match form strip shows momentum; BTTS and Over 2.5 rates describe how a team's matches tend to unfold once both sides settle into a game state; Asian-handicap cover shows whether a club has been beating or missing the market's own expectation of it. Read together rather than in isolation, the three give a rounder picture of a team than any single stat can — which is the same layered approach behind the picks tracked on our daily predictions page.

How reliable is this, and who is it for?

This hub is built for bettors who want to check a claim before acting on it, not to hand out verdicts. Every figure traces back to the same fixture and league data documented on our methodology page, and nothing here is presented as a guaranteed outcome — form and xG describe tendencies, not certainties. WeBetSmart is an analytics service, not a bookmaker: always confirm current squads and market prices at the operator, and bet only what you can afford to lose. 18+.