Sūduva II vs Žalgiris II: result 2-1 and analysis
1 LygaRegular Season - 25Kick-off on October 16, 2021 at 11:00 AM (UTC)
Full time
What was the result of Sūduva II vs Žalgiris II?
Sūduva II won 2-1 on October 16, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sūduva II have 4 wins, 1 draw and 10 defeats; Žalgiris II have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2021 | Minija(away) | 1-1 | 1 Lyga |
| Sep 24, 2021 | Kauno Žalgiris II(home) | 1-0 | 1 Lyga |
| Sep 18, 2021 | Atmosfera(home) | 1-0 | 1 Lyga |
| Sep 12, 2021 | BFA(away) | 0-1 | 1 Lyga |
| Aug 28, 2021 | Trakai II(away) | 1-4 | 1 Lyga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2021 | Jonava(home) | 1-2 | 1 Lyga |
| Sep 23, 2021 | Šiauliai(home) | 2-3 | 1 Lyga |
| Sep 17, 2021 | Panevėžys II(away) | 1-1 | 1 Lyga |
| Sep 11, 2021 | Babrungas(home) | 3-3 | 1 Lyga |
| Aug 28, 2021 | Minija(away) | 2-3 | 1 Lyga |
What does the head-to-head say?
In the last meeting: 0 Sūduva II wins, 0 draws, 1 Žalgiris II win.
| Date | Score | Competition |
|---|---|---|
| Jun 26, 2021 | Žalgiris II 3-1 Sūduva II | 1 Lyga |
Last archived meeting: Žalgiris II vs Sūduva II on Jun 26, 2021
How many goals should we expect?
Sūduva II score 0.9 and concede 1.6 goals per match over their last 15; Žalgiris II score 2.2 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sūduva II | 0.9 | 1.6 | 4 | 7/15 | 7/15 |
| Žalgiris II | 2.2 | 2.0 | 3 | 11/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Žalgiris II | 26 | 14 | 4 | 8 | 40 | 33 | 46 |
A question about Sūduva II vs Žalgiris II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy