Suduva Marijampole’s defensive solidity is evident, conceding 0.64 goals per game at home against similarly ranked opposition, while Banga’s away attack has been more prolific, scoring 1.7 goals and conceding 1.1. The model projects a tight, low-scoring affair, with an expected total of 1.8 goals and a 28% chance of the most likely total of two goals. The single most probable scoreline is a 0-0 draw, carrying an 18.4% probability. The probabilities favour a draw: 35% for a home win, 36% for a draw, and 29% for an away win, making a draw the model’s pick. Banga’s recent form shows a draw after a 0-0 stalemate, while Suduva is on a five-game winning streak, hinting at a cautious start. The model’s selections include Under 3.5 goals at 89.6% and Under 2.5 goals at 73.9%, both of which have hit.
Results analysis
Suduva Marijampole’s five-game winning streak carried them into a surprise 1-0 victory over Banga, overturning the model’s pre-match favourite of a draw at 36%. The model’s call was wrong, as the actual result was a home win. The model’s selection of Under 3.5 goals, with an 89.6% probability, hit, as did Under 2.5 goals at 73.9%. The most likely scoreline was 0-0 with 18.4%, followed by 1-0 at 14.8% and 1-1 at 14.6%. The match finished 1-0, confirming the home side’s triumph.
🎯 1. Model Analysis
Suduva Marijampole win✓ Hit
35.4%
Avg Implied -
Best 5 market prices
No market prices yet.
Draw✗ Miss
35.8%
Avg Implied -
Best 5 market prices
No market prices yet.
Banga win✗ Miss
28.8%
Avg Implied -
Best 5 market prices
No market prices yet.
⚽ 2. Goal Analysis
Suduva Marijampole
Last 10 – goals for & against
Avg total
3.1
Avg scored
1.8
Avg conceded
1.3
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
1.03
1.23
0.79
0.79
1.25
1.62
vs Stronger (5)
1.60
2.00
1.33
1.33
2.00
3.00
vs Similar (24)
0.92
1.08
0.64
0.64
1.15
1.46
vs Weaker (1)
1.00
1.00
-
-
1.00
1.00
Clean sheet %
27% (-6pp vs league)
This opponent (Banga) is Similar. The matching ‘vs’ row is the one to weigh.
Banga
Last 10 – goals for & against
Avg total
2.1
Avg scored
1.0
Avg conceded
1.1
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
1.30
1.20
1.20
1.27
1.40
1.13
vs Stronger (13)
1.00
1.15
1.12
1.12
0.80
1.20
vs Similar (17)
1.53
1.24
1.29
1.43
1.70
1.10
vs Weaker (0)
-
-
-
-
-
-
Clean sheet %
40% (+7pp vs league)
This opponent (Suduva Marijampole) is Similar. The matching ‘vs’ row is the one to weigh.
Total goals distribution
The model estimates around 1.8 goals in this match; the single most likely total is 2 (28%).
Over/Under 1.5Actual: Under
Over 1.5
54.1%
Under 1.5
45.9%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Over/Under 2.5Actual: Under
Over 2.5
26.1%
Under 2.5
73.9%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Over/Under 3.5Actual: Under
Over 3.5
10.4%
Under 3.5
89.6%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Both teams to scoreActual: No
Yes
35.7%
No
64.3%
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).
0-0
18.4%
1-0 ✓
14.8%
1-1
14.6%
0-1
12.7%
2-0
7.6%
2-1
6.3%
0-2
5.8%
1-2
5.5%
Suduva Marijampole goals ↓
Banga goals →
0
1
2
3
4
0
18%
13%
5.8%
1.6%
0.3%
1
15%
15%
5.5%
1.5%
0.3%
2
7.6%
6.3%
2.6%
0.7%
0.1%
3
2.4%
2.0%
0.8%
0.2%
0.0%
4
0.6%
0.5%
0.2%
0.1%
0.0%
Each cell is the % chance of that exact scoreline. Rows = Suduva Marijampole goals (down), columns = Banga goals (across).
💪 3. Team Strengths Analysis
🏆 Total PPG
Points / game
Kauno Žalgiris
2.08
Hegelmann Litauen
1.86
FK Zalgiris Vilnius
1.72
Suduva Marijampole
1.64
Šiauliai
1.44
Panevėžys
1.36
Džiugas Telšiai
1.28
Banga
1.17
FK Trakai
0.79
Dainava
0.50
Neptūną Klaipėda
0.50
Suduva Marijampole is 0.47 points better than Banga in terms of average points per game (1.64 vs 1.17).
⚔️ Attack
Goals scored / game
Kauno Žalgiris
1.86
Šiauliai
1.64
Hegelmann Litauen
1.56
Panevėžys
1.56
FK Zalgiris Vilnius
1.50
Suduva Marijampole
1.33
Banga
1.06
Džiugas Telšiai
1.03
FK Trakai
1.03
Dainava
0.75
Neptūną Klaipėda
0.50
Suduva Marijampole is 0.28 goals better than Banga in terms of goals scored per game (1.33 vs 1.06).
🛡️ Defense
Conceded / game · lower better
Kauno Žalgiris
0.72
Suduva Marijampole
1.00
Banga
1.00
Neptūną Klaipėda
1.00
FK Zalgiris Vilnius
1.14
Hegelmann Litauen
1.19
Džiugas Telšiai
1.25
Panevėžys
1.36
Šiauliai
1.47
FK Trakai
1.97
Dainava
2.11
Suduva Marijampole and Banga are level in goals conceded per game (both 1.00).
⏱️ Possession
Not available for this league.
Possession isn't tracked for this league.
🎲 4. Props Analysis
Corners, cards and fouls aren't tracked for this league, so prop analysis isn't available here. Result, goals and both-teams-to-score markets are unaffected.
🔀 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. Home & Away Over/Under
⚖️ 7. Handicap
⏱️ 8. Half Time Goals O/U
Suduva Marijampole
Half Time · Last 10 – goals for & against
Avg total
1.1
Avg scored
0.4
Avg conceded
0.7
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
0.33
0.50
0.13
0.27
0.53
0.73
vs Stronger (6)
0.50
0.33
0.50
0.25
0.50
0.50
vs Similar (23)
0.30
0.52
0.00
0.27
0.58
0.75
vs Weaker (1)
0.00
1.00
-
-
0.00
1.00
Clean sheet %
60% (+27pp vs league)
This opponent (Banga) is Similar. The matching ‘vs’ row is the one to weigh.
Banga
Half Time · Last 10 – goals for & against
Avg total
1.1
Avg scored
0.5
Avg conceded
0.6
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
0.53
0.43
0.47
0.53
0.60
0.33
vs Stronger (13)
0.31
0.38
0.38
0.38
0.20
0.40
vs Similar (17)
0.71
0.47
0.57
0.71
0.80
0.30
vs Weaker (0)
-
-
-
-
-
-
Clean sheet %
67% (+34pp vs league)
This opponent (Suduva Marijampole) is Similar. The matching ‘vs’ row is the one to weigh.
Half Time Over/Under 0.5Actual: Under
Over 0.5
0.0%
Under 0.5
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Half Time Over/Under 1.5Actual: Under
Over 1.5
0.0%
Under 1.5
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Half Time Over/Under 2.5Actual: Under
Over 2.5
0.0%
Under 2.5
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
🥅 9. Half Time Home & Away O/U
How many goals each side scores in the first half on its own. Each line is modelled directly from that team's half-time goals rather than read off a scoreline grid, so unlike the full-time version the two sides need not sum exactly to the half-time match total.
Suduva Marijampole over/under 0.5 HTActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Suduva Marijampole over/under 1.5 HTActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Suduva Marijampole over/under 2.5 HTActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Banga over/under 0.5 HTActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Banga over/under 1.5 HTActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Banga over/under 2.5 HTActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
⏱️ 10. Second Half Goals O/U
Suduva Marijampole
Second Half · Last 10 – goals for & against
Avg total
1.7
Avg scored
1.2
Avg conceded
0.5
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
0.67
0.73
0.67
0.53
0.67
0.93
vs Stronger (6)
1.00
1.50
0.75
1.00
1.50
2.50
vs Similar (23)
0.57
0.57
0.64
0.36
0.50
0.75
vs Weaker (1)
1.00
0.00
-
-
1.00
0.00
Clean sheet %
47% (+14pp vs league)
This opponent (Banga) is Similar. The matching ‘vs’ row is the one to weigh.
Banga
Second Half · Last 10 – goals for & against
Avg total
1.0
Avg scored
0.5
Avg conceded
0.5
Split
Total Scored
Total Conceded
Home Scored
Home Conceded
Away Scored
Away Conceded
Avg goals/game
0.77
0.77
0.73
0.73
0.80
0.80
vs Stronger (13)
0.69
0.77
0.75
0.75
0.60
0.80
vs Similar (17)
0.82
0.76
0.71
0.71
0.90
0.80
vs Weaker (0)
-
-
-
-
-
-
Clean sheet %
53% (+21pp vs league)
This opponent (Suduva Marijampole) is Similar. The matching ‘vs’ row is the one to weigh.
Second Half Over/Under 0.5Actual: Over
Over 0.5
0.0%
Under 0.5
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Second Half Over/Under 1.5Actual: Under
Over 1.5
0.0%
Under 1.5
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Second Half Over/Under 2.5Actual: Under
Over 2.5
0.0%
Under 2.5
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
🥅 11. Second Half Home & Away O/U
How many goals each side scores in the second half on its own. Each line is modelled directly from that team's second-half goals rather than read off a scoreline grid, so unlike the full-time version the two sides need not sum exactly to the second-half match total.
Suduva Marijampole over/under 0.5 2HActual: Over
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Suduva Marijampole over/under 1.5 2HActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Suduva Marijampole over/under 2.5 2HActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Banga over/under 0.5 2HActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Banga over/under 1.5 2HActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
Banga over/under 2.5 2HActual: Under
Over
0.0%
Under
0.0%
Best 5 market prices
Over
No market prices yet.
Under
No market prices yet.
🔥 12. Top picks for this game
Every selection Pythia rates above 70%, ordered by probability. Use Min odds to match the prices you want: slide down for near-certainties at short prices, up for longer prices. Unpriced picks are ranked on the model's fair odds. Edge defaults to Yes, showing only selections priced BELOW what the model makes them; switch to All to include the rest, and picks we hold no price for. 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.
Min odds1.20
Edge
Pick
Probability
Avg odds
Best 1
Best 2
Best 3
Best 4
Best 5
Edge
Result
Under 3.5
89.6%
-
-
-
-
-
-
-
✓ Hit
Under 2.5
73.9%
-
-
-
-
-
-
-
✓ Hit
No picks at these odds - lower the slider to see shorter-priced selections.
💰 14. Squad value
💰 Total value
Squad value (€m) · (players with data)
KŽ (27)
€10m
FZV (29)
€7m
PAN (28)
€6m
ŠIA (28)
€6m
SM (26)
€6m
BAN (22)
€6m
HL (22)
€6m
DT (22)
€5m
DAI (1)
€0m
NK (1)
€0m
Suduva Marijampole and Banga have a similar squad value (both €6m).
⚔️ Attack
Squad value (€m) · (players with data)
KŽ (11)
€4m
SM (10)
€2m
BAN (7)
€2m
FZV (9)
€2m
PAN (8)
€2m
HL (6)
€2m
ŠIA (7)
€2m
DT (5)
€1m
NK (1)
€0m
DAI (0)
€0m
Suduva Marijampole and Banga have a similar attack value (both €2m).
🧠 Midfield
Squad value (€m) · (players with data)
FZV (8)
€3m
PAN (7)
€2m
DT (7)
€2m
KŽ (4)
€2m
ŠIA (10)
€2m
HL (7)
€2m
BAN (5)
€1m
SM (5)
€1m
DAI (1)
€0m
NK (0)
€0m
Suduva Marijampole and Banga have a similar midfield value (both €1m).
🛡️ Defence
Squad value (€m) · (players with data)
KŽ (12)
€4m
FZV (12)
€3m
ŠIA (11)
€3m
PAN (13)
€2m
HL (9)
€2m
SM (11)
€2m
BAN (10)
€2m
DT (10)
€2m
NK (0)
€0m
DAI (0)
€0m
Suduva Marijampole and Banga have a similar defence value (both €2m).
Lithuania: A Lyga 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 Lithuania: A Lyga stats & trends →