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Mamer vs Wiltz Result & Analysis

Date: 31/05/2026
Time: 17:00
Final 0-0
Mamer
Mamer
Vs
32%
29%
39%
■ Home   ■ Draw   ■ Away
Wiltz
Wiltz
Luxembourg: National Division
Referee: -
Match preview & prediction

This Luxembourg National Division match between Mamer and Wiltz is finely balanced, with Mamer coming off a draw against Wiltz and Wiltz having suffered a defeat against FC Differdange 03. The home side, Mamer, has a 32% chance of winning, while Wiltz has a 39% chance of taking the three points. The draw is slightly less likely at 29%.

Wiltz is the model's selection to win the match, with an expected total of 2.6 goals. The most likely scoreline is 1-1, occurring 13.7% of the time. Mamer has scored an average of 1.08 goals when facing stronger opponents, while conceding 2.42 goals on average. Wiltz has scored 1.08 goals on average when playing away against stronger opponents and conceded 2.42 goals.

The model suggests selecting Over 3.5 cards (89.6%), Over 21.5 fouls (88.8%), and Over 1.5 (74.8%), although the latter has a result of miss. Under 3.5 is also suggested with a probability of 73.3%, with a result of hit. Mamer has a 32% chance of winning, a 29% chance of drawing, and a 39% chance of losing.

Results analysis

In a stunning upset, Wiltz drew with Mamer, with the final score reading 0-0. This result extends Wiltz's run of consecutive draws to four, following their 1-2 defeat to FC Differdange 03. The pre-match favourite, Mamer, failed to come through, with the model's selection, an Away win, being incorrect. The model's call was wrong, as it predicted Wiltz to win. The model's selection, an Away win, had a pre-match probability of 39%. The model also suggested Over 1.5, which had a probability of 74.8% but missed, while Under 3.5, with a probability of 73.3%, hit.

🎯 1. Model Analysis

Mamer win✗ Miss
32.2%
Avg Implied -
Best 5 market prices
No market prices yet.
Draw✓ Hit
28.7%
Avg Implied -
Best 5 market prices
No market prices yet.
Wiltz win✗ Miss
39.1%
Avg Implied -
Best 5 market prices
No market prices yet.

⚽ 2. Goal Analysis

MamerMamer

Last 10 – goals for & against
40-402L21W01L11D01L22D24L32W11D00DH·VIC15/03A·UNI22/03H·UNA04/04A·PRO12/04H·UN 19/04A·ATE26/04A·US 03/05H·RAC10/05A·ROD17/05H·JEU23/05
Avg total
2.6
Avg scored
1.1
Avg conceded
1.5
SplitTotal
Scored
Total
Conceded
Home
Scored
Home
Conceded
Away
Scored
Away
Conceded
Avg goals/game1.101.970.801.671.402.27
vs Stronger (16)1.002.000.752.121.251.88
vs Similar (14)1.211.930.861.141.572.71
vs Weaker (0)------
Clean sheet %13% (-13pp vs league)
This opponent (Wiltz) is Weaker. The matching ‘vs’ row is the one to weigh.

WiltzWiltz

Last 10 – goals for & against
40-403L13L20W11D32W11D04L24L22D11DH·UNI30/03A·SWI06/04H·MON13/04A·AS 19/04H·BET27/04A·VIC04/05H·FC 10/05A·ROD18/05H·US 25/05H·JEU01/06
Avg total
3.4
Avg scored
1.3
Avg conceded
2.1
SplitTotal
Scored
Total
Conceded
Home
Scored
Home
Conceded
Away
Scored
Away
Conceded
Avg goals/game1.131.971.251.811.002.14
vs Stronger (25)0.962.120.851.851.082.42
vs Similar (5)2.001.203.001.670.500.50
vs Weaker (0)------
Clean sheet %17% (-10pp vs league)
This opponent (Mamer) is Stronger. The matching ‘vs’ row is the one to weigh.

Total goals distribution

7%13%20%26%9%017%126%222%314%47%55%6+
The model estimates around 2.6 goals in this match; the single most likely total is 2 (26%).
Over/Under 1.5Actual: Under
Over 1.5
74.8%
Under 1.5
25.2%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Over/Under 2.5Actual: Under
Over 2.5
48.5%
Under 2.5
51.5%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Over/Under 3.5Actual: Under
Over 3.5
26.7%
Under 3.5
73.3%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Both teams to scoreActual: No
Yes
54.3%
No
45.7%
Best 5 market prices
Yes
No market prices yet.
No
No market prices yet.

Correct score

Top 8 scorelines with probability, best odds and edge (left); the full probability grid (right).
1-1
13.7%
0-1
8.9%
1-2
8.6%
0-0 ✓
8.6%
1-0
7.8%
2-1
7.7%
0-2
7.0%
2-0
5.6%
Mamer goals ↓
Wiltz goals →
01234
08.6%8.9%7.0%3.2%1.1%
17.8%14%8.6%4.0%1.4%
25.6%7.7%5.3%2.4%0.8%
32.3%3.2%2.2%1.0%0.3%
40.7%1.0%0.7%0.3%0.1%
Each cell is the % chance of that exact scoreline. Rows = Mamer goals (down), columns = Wiltz goals (across).

💪 3. Team Strengths Analysis

🏆 Total PPG

Points / game
Atert Bissen
2.17
FC Differdange 03
2.17
US Mondorf-les-bains
2.00
F91 Dudelange
1.93
UNA Strassen
1.93
Racing FC Union Luxembourg
1.33
AS Jeunesse Esch
1.33
UN Kaerjeng 97
1.27
US Hostert
1.20
Victoria Rosport
1.17
Progres Niederkorn
1.13
Swift Hesperange
1.07
Jeunesse Canach
1.03
Résidence Walferdange
1.00
Wiltz
1.00
Mamer
0.97
Rodange 91
0.83
Union Titus Petange
0.83
Mamer is 0.03 points worse than Wiltz in terms of average points per game (0.97 vs 1.00).

⚔️ Attack

Goals scored / game
Atert Bissen
2.33
FC Differdange 03
2.10
F91 Dudelange
1.97
UNA Strassen
1.90
US Mondorf-les-bains
1.70
Racing FC Union Luxembourg
1.60
Progres Niederkorn
1.47
UN Kaerjeng 97
1.43
AS Jeunesse Esch
1.17
US Hostert
1.17
Victoria Rosport
1.10
Mamer
1.06
Swift Hesperange
1.03
Résidence Walferdange
1.00
Jeunesse Canach
0.97
Rodange 91
0.93
Union Titus Petange
0.87
Wiltz
0.00
Mamer is 1.06 goals better than Wiltz in terms of goals scored per game (1.06 vs 0.00).

🛡️ Defense

Conceded / game · lower better
Wiltz
0.00
FC Differdange 03
0.73
US Mondorf-les-bains
0.80
UNA Strassen
0.87
Atert Bissen
0.90
Résidence Walferdange
1.00
AS Jeunesse Esch
1.13
F91 Dudelange
1.27
Jeunesse Canach
1.45
Swift Hesperange
1.53
Progres Niederkorn
1.57
UN Kaerjeng 97
1.60
Union Titus Petange
1.63
Racing FC Union Luxembourg
1.67
Victoria Rosport
1.67
US Hostert
1.87
Mamer
1.90
Rodange 91
2.17
Mamer is 1.90 goals worse than Wiltz in terms of goals conceded per game (1.90 vs 0.00).

⏱️ Possession

Avg possession %
F91 Dudelange
61%
Progres Niederkorn
60%
UNA Strassen
57%
Racing FC Union Luxembourg
56%
FC Differdange 03
54%
US Hostert
53%
Rodange 91
52%
US Mondorf-les-bains
52%
Atert Bissen
51%
Jeunesse Canach
49%
Swift Hesperange
48%
AS Jeunesse Esch
46%
Mamer
45%
Union Titus Petange
45%
UN Kaerjeng 97
41%
Victoria Rosport
40%
Not enough data to compare these two teams.

🎲 4. Props Analysis

MamerMamer

For 5.0 · Against 5.3 · Total 10.3

🚩 Corners

11036567491111H·F91A·AS A·JEU
ForAgainstTotal per gameAverage total
For 3.8 · Against 3.0 · Total 6.8

🟨 Cards

100326364359103A·US H·F91A·AS A·JEU
ForAgainstTotal per gameAverage total
For 16.0 · Against 14.3 · Total 30.3

⚠️ Fouls

350201513151513352828H·F91A·AS A·JEU
ForAgainstTotal per gameAverage total

WiltzWiltz

🚩 Corners

No recent corners data for this league.

🟨 Cards

No recent cards data for this league.

⚠️ Fouls

No recent fouls data for this league.

MamerMamer

SplitCornersCardsFouls
TotHmeAwyTotHmeAwyTotHmeAwy
Overall (30)10.39.011.00.90.61.230.335.028.0
vs Stronger (16)9.09.0-0.91.10.635.035.0-
vs Similar (14)11.0-11.00.90.01.928.0-28.0
vs Weaker (0)---------
% over line67%0%100%10%7%13%100%100%100%
% under line33%100%0%90%93%87%0%0%0%
This opponent (Wiltz) is Weaker. The matching ‘vs’ row is the one to weigh.

WiltzWiltz

SplitCornersCardsFouls
TotHmeAwyTotHmeAwyTotHmeAwy
Overall (50)---0.00.00.0---
vs Stronger (43)---0.00.00.0---
vs Similar (7)---0.00.00.0---
vs Weaker (0)---------
% over line---0%0%0%---
% under line---100%100%100%---
This opponent (Mamer) is Stronger. The matching ‘vs’ row is the one to weigh.

🚩 Total Corners

Match total corners / game
US Mondorf-les-bains
11.0
Mamer
10.3
Victoria Rosport
9.8
Rodange 91
9.3
UN Kaerjeng 97
9.2
Progres Niederkorn
9.1
F91 Dudelange
8.9
AS Jeunesse Esch
8.8
FC Differdange 03
8.7
Atert Bissen
8.6
US Hostert
8.4
Jeunesse Canach
8.2
Racing FC Union Luxembourg
8.0
Swift Hesperange
7.9
UNA Strassen
7.8
Union Titus Petange
5.2

🟨 Total Cards

Match total cards / game
Rodange 91
7.8
FC Differdange 03
7.7
Racing FC Union Luxembourg
7.0
Mamer
6.8
Atert Bissen
6.6
UN Kaerjeng 97
6.6
Victoria Rosport
6.2
AS Jeunesse Esch
6.2
Union Titus Petange
6.2
US Mondorf-les-bains
6.2
US Hostert
6.2
Swift Hesperange
6.2
Progres Niederkorn
6.1
F91 Dudelange
6.0
UNA Strassen
5.6
Jeunesse Canach
5.6

⚠️ Total Fouls

Match total fouls / game
FC Differdange 03
35.0
Jeunesse Canach
30.6
Swift Hesperange
30.4
Mamer
30.3
AS Jeunesse Esch
29.0
US Hostert
29.0
UNA Strassen
28.2
Rodange 91
28.0
UN Kaerjeng 97
27.0
Racing FC Union Luxembourg
26.5
Atert Bissen
26.0
Union Titus Petange
26.0
US Mondorf-les-bains
25.3
Victoria Rosport
25.0
Progres Niederkorn
23.6
F91 Dudelange
20.6
Corners O/U 9.5
Over 9.5
32.9%
Under 9.5
67.1%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Cards O/U 3.5
Over 3.5
89.6%
Under 3.5
10.4%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Fouls O/U 21.5
Over 21.5
88.8%
Under 21.5
11.2%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.

🔀 5. Double Chance

Double Chance

Two of the three results in one selection. The probability is the sum of those outcomes from the model above, so any edge here is the market pricing the combination out of line with its own 1X2.

🔥 6. Top picks for this game

Every selection Pythia rates above 70%, ordered by probability. The five columns are the best market prices (highest first) for each pick; edge is vs the average. Result grades each pick against the final score.
PickProbabilityAvg oddsBest 1Best 2Best 3Best 4Best 5EdgeResult
Over 3.5 cards89.6%--------
Over 21.5 fouls88.8%--------
Over 1.574.8%-------✗ Miss
Under 3.573.3%-------✓ Hit

💰 7. Squad value

💰 Total value

Squad value (€m) · (players with data)
US (19)
€3m
FD0 (16)
€2m
RFU (15)
€1m
FD (16)
€1m
No squad-value data to compare these two teams.

⚔️ Attack

Squad value (€m) · (players with data)
FD0 (6)
€1m
US (5)
€1m
RFU (6)
€1m
FD (6)
€0m
No squad-value data to compare these two teams.

🧠 Midfield

Squad value (€m) · (players with data)
US (5)
€1m
FD (4)
€0m
RFU (3)
€0m
FD0 (3)
€0m
No squad-value data to compare these two teams.

🛡️ Defence

Squad value (€m) · (players with data)
US (9)
€1m
FD0 (7)
€1m
RFU (6)
€1m
FD (6)
€0m
No squad-value data to compare these two teams.

🤝 8. Games History

Head-to-head

Mamer vs Wiltz · H/A from MAM
DateH/AGameScore
No games.

MamerMamer

Last 10 games · H/A coloured by result
DateH/AGameScore
23/05/26HMAM Vs Jeunesse Canach0-0
17/05/26ARodange 91 Vs MAM1-1
10/05/26HMAM Vs Racing FC Union Luxembourg3-2
03/05/26AUS Hostert Vs MAM4-2
26/04/26AAtert Bissen Vs MAM2-2
19/04/26HMAM Vs UN Kaerjeng 970-1
12/04/26AProgres Niederkorn Vs MAM1-1
04/04/26HMAM Vs UNA Strassen0-1
22/03/26AUnion Titus Petange Vs MAM1-2
15/03/26HMAM Vs Victoria Rosport0-2

WiltzWiltz

Last 10 games · H/A coloured by result
DateH/AGameScore
01/06/25HWIL Vs Jeunesse Canach1-1
25/05/25HWIL Vs US Hostert2-2
18/05/25ARodange 91 Vs WIL4-2
10/05/25HWIL Vs FC Differdange 030-4
04/05/25AVictoria Rosport Vs WIL1-1
27/04/25HWIL Vs Bettembourg3-2
19/04/25AAS Jeunesse Esch Vs WIL1-1
13/04/25HWIL Vs Mondercange2-0
06/04/25ASwift Hesperange Vs WIL3-1
30/03/25HWIL Vs Union Titus Petange0-3

📊 9. Overall Statistics

Mamer
Mamer
Luxembourg: National Division
Recent: 2 Wins / 4 Draws / 4 Losses
FormResultsPPG
OverallDLWDD0.97
HomeLLLWD0.73
AwayWDDLD1.20
StatsOverallHomeAway
Win %27%20%33%
AVG goals3.072.473.67
Over 1.5 %77%67%87%
Over 2.5 %57%47%67%
Over 3.5 %37%20%53%
Scored1.100.801.40
Conceded1.971.672.27
BTTS60%53%67%
Clean Sheet13%13%13%
Corners10.339.0011.00
Cards6.759.006.00
Wiltz
Wiltz
Luxembourg: National Division
Recent: 2 Wins / 4 Draws / 4 Losses
FormResultsPPG
OverallDLLDD0.96
HomeWWLDD1.08
AwayLLDDL0.84
StatsOverallHomeAway
Win %22%24%20%
AVG goals3.303.243.36
Over 1.5 %86%88%84%
Over 2.5 %60%60%60%
Over 3.5 %44%44%44%
Scored1.341.401.28
Conceded1.961.842.08
BTTS64%64%64%
Clean Sheet10%12%8%
Corners---
Cards---

🏆 10. League Table

RecordGoalsProps / gameSquad value €mStrengths
RankTeamMPPtsWin%PPGGFGAGDG/GO1.5O2.5O3.5CorCor O%CrdCrd O%FlsFls O%TotAttMidDefAtt/gDef/gPoss%
1Atert BissenAtert Bissen3065
67%
2.2
7027+43
3.2
83%
60%
37%
8.6
40%
6.6
100%
26.0
80%
0
0002.30.9
51%
2FC Differdange 03FC Differdange 033065
63%
2.2
6322+41
2.8
70%
50%
40%
6.0
0%
5.5
100%
28.5
100%
2
1012.10.7
54%
3US Mondorf-les-bainsUS Mondorf-les-bains3060
63%
2.0
5124+27
2.5
70%
50%
33%
11.0
100%
6.2
80%
25.3
100%
0
0001.70.8
52%
4UNA StrassenUNA Strassen3058
57%
1.9
5726+31
2.8
70%
53%
37%
7.8
0%
5.6
60%
28.2
100%
3
1111.90.9
57%
5F91 DudelangeF91 Dudelange3058
57%
1.9
5938+21
3.2
80%
63%
40%
8.0
0%
7.4
80%
24.7
67%
1
0002.01.3
61%
6AS Jeunesse EschAS Jeunesse Esch3040
33%
1.3
3534+1
2.3
70%
33%
20%
8.8
25%
6.2
100%
29.0
100%
0
0001.21.1
46%
7Racing FC Union LuxembourgRacing FC Union Luxembourg3040
37%
1.3
4850-2
3.3
77%
57%
43%
7.5
0%
8.8
100%
26.5
100%
1
1011.61.7
56%
8UN Kaerjeng 97UN Kaerjeng 973038
37%
1.3
4348-5
3.0
83%
57%
33%
9.2
50%
6.6
80%
27.0
67%
0
0001.41.6
41%
9US HostertUS Hostert3036
33%
1.2
3556-21
3.0
73%
57%
40%
8.4
0%
6.2
80%
29.0
75%
0
0001.21.9
53%
10Victoria RosportVictoria Rosport3035
33%
1.2
3350-17
2.8
73%
60%
27%
9.8
25%
6.2
60%
25.0
100%
0
0001.11.7
40%
11Progres NiederkornProgres Niederkorn3034
30%
1.1
4447-3
3.0
77%
53%
33%
7.5
25%
5.0
80%
22.2
75%
0
0001.51.6
60%
12Swift HesperangeSwift Hesperange3032
30%
1.1
3146-15
2.6
70%
50%
20%
7.2
20%
6.6
100%
29.6
80%
0
0001.01.5
48%
13Jeunesse CanachJeunesse Canach3132
29%
1.0
3045-15
2.4
58%
48%
29%
8.2
40%
5.6
80%
30.6
100%
0
0001.01.5
49%
14MamerMamer3130
26%
1.0
3359-26
3.0
74%
55%
35%
10.3
67%
6.8
75%
30.3
100%
0
0001.11.9
45%
15Union Titus PetangeUnion Titus Petange3025
20%
0.8
2649-23
2.5
70%
47%
17%
5.2
0%
6.2
80%
26.0
67%
0
0000.91.6
45%
16Rodange 91Rodange 913025
20%
0.8
2865-37
3.1
80%
63%
40%
9.3
33%
7.8
100%
28.0
67%
0
0000.92.2
52%
17Résidence WalferdangeRésidence Walferdange11
0%
1.0
11+0
2.0
100%
0%
0%
-
0%
-
0%
-
0%
0
0001.01.0
-
18WiltzWiltz11
0%
1.0
00+0
0.0
0%
0%
0%
-
0%
-
0%
-
0%
0
0000.00.0
-
Luxembourg: National Division 2025/26 full table · click any column header to sort (click again to reverse). In-cell bars are scaled within each column; scroll right for props, squad value and strengths. Highlighted teams are this fixture's sides. Full Luxembourg: National Division stats & trends →

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