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Sturm Graz vs Marseille Prediction, Tips & Odds

Sturm Graz vs Marseille

UEFA Europa LeagueLeague Stage - 3
Sturm Graz
#17 · UEFA Europa League
WWLDW
VS
Merkur-Arena, Graz
Marseille
#32 · UEFA Europa League
WLLLL

Match Preview

The model favours Sturm Graz to win against Marseille, projecting a scoreline of 2-1. Sturm Graz currently sits in 17th place after one match, where they managed a draw, earning a point without conceding or scoring. Their recent form shows promise, with three wins, one draw, and one loss in their last five matches, indicating a competitive edge as they enter this fixture. In contrast, Marseille is in 32nd place and has struggled significantly, losing all five of their last matches. Their season opener resulted in a loss, where they scored one goal but conceded four, highlighting defensive vulnerabilities. This poor form could weigh heavily on their confidence as they seek to turn their fortunes around. The model indicates a win probability of around 65% for Sturm Graz, with their projected score being 2-1. One key market to consider is the over/under on total goals, which might lean towards the over given both teams' recent scoring trends. However, Sturm Graz’s potential to falter under pressure and Marseille’s need to bounce back could complicate the outcome. For a detailed explanation of our prediction method, please refer to the "How We Reached This Prediction" section, developed by The Daily Punt Analysis Team using expected goals and actual results throughout the season.

Head to Head

No head-to-head data available.

UEFA Europa League Standings

#TeamPWDLGFGAGDPtsForm
1
Juventus
11005053
W
2
Crystal Palace
11004043
W
3
Sparta Praha
11004133
W
4
Beşiktaş
11004133
W
5
Union St. Gilloise
11003033
W
6
Ferencvarosi TC
11003123
W
17
Sturm Graz
10100001
D
32
Marseille
100114-30
L
34
Plzen
100103-30
L
35
Lech Poznan
100104-40
L
36
NEC Nijmegen
100105-50
L

Venue Record

Current season at home / on the road
Sturm GrazHome
0W1D0L
1 playedGF 0 · GA 01.00 pts/game
MarseilleAway
0W0D1L
1 playedGF 1 · GA 40.00 pts/game

Key Statistics

2026 Season
Sturm GrazMarseille
1.81Goals p.g.1.43
1.14Goals conceded p.g.1.67
38%Clean sheets20%
48%Win rate40%
2.95Avg goals in match3.1
1.59xG per game1.85
-0.30xGA per game-0.08
48%Possession %57%
3.7Shots on target / game5.9
7.2Corners per game5.0
Sturm Graz
Recent Form

Sturm Graz have won 12 of their last 23 matches at home, drawing 9 and losing 2. Their recent home fixtures include beat Sturm Graz 3-1 and drew with Sturm Graz 0-0.

Overall, the wider run reads 20W 14D 8L from the last 42 games (48% win rate). The form line is positive, with more wins than defeats across the sample.

Match Results: Sturm GrazAll competitions
10 Oct
Austria Vienna
0-2
Sturm Graz
Bundesliga
02 Oct
Sturm Graz
3-1
Floridsdorfer AC
Friendlies Clubs
20 Sept
Red Bull Salzburg
3-0
Sturm Graz
Bundesliga
16 Sept
Sturm Graz
0-0
Rennes
UEFA Europa League
05 Sept
Voitsberg
1-4
Sturm Graz
Cup
30 Aug
Rapid Vienna
3-1
Sturm Graz
Bundesliga
20
Win
48%
14
Draw
33%
8
Lost
19%
Marseille
Recent Form

Marseille have won 3 of their last 13 matches on the road, drawing 1 and losing 9. Their recent away fixtures include beat Marseille 0-2 and lost to Beşiktaş 4-1.

Overall, the wider run reads 12W 4D 14L from the last 30 games (40% win rate). The form line has been negative, with defeats outweighing wins across the sample.

Match Results: MarseilleAll competitions
11 Oct
Estac Troyes
0-2
Marseille
Ligue 1
20 Sept
Marseille
1-2
Paris Saint Germain
Ligue 1
17 Sept
Beşiktaş
4-1
Marseille
UEFA Europa League
11 Sept
Rennes
1-0
Marseille
Ligue 1
06 Sept
Marseille
2-3
Paris FC
Ligue 1
30 Aug
Monaco
2-0
Marseille
Ligue 1
12
Win
40%
4
Draw
13%
14
Lost
47%

Lineups

📋

Lineups not yet announced

Starting lineups are usually confirmed approximately 1 hour before kick-off.

Unavailable Players

0 players

Sturm Graz

No reported absences

Marseille

No reported absences

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The Daily Punt Analysis Team

Data-driven football predictions and betting tips

This forecast was built by the The Daily Punt Analysis Team using our in-house statistical model. We feed the model two layers of data for every fixture: each team's recent expected goals (xG and xGA) and their actual goals scored and conceded, split by home and away venue. The numbers run through a Poisson distribution that produces a probability for every possible scoreline, which we then convert into fair odds for the 1X2, correct score, BTTS, and over/under markets.

Before publishing, we cross-check our fair odds against the prices the major bookmakers are offering. Where a bookmaker is paying out more than our model says is mathematically fair, we flag that market as a value bet on this page.