Skanste vs Tukums II Prediction, Tips & Odds
Skanste vs Tukums II


Match Preview
The model favours Skanste to win this match, projecting a scoreline of 2-1. Skanste currently occupies 9th place in the league with 19 points from 16 matches, having secured 6 wins, 1 draw, and 9 losses. Their goal difference of -2 reflects a relatively balanced attack and defence, scoring 30 goals while conceding 32. Despite a mixed recent form of two wins and three losses, Skanste's overall performance this season suggests they are the stronger side in this matchup. In contrast, Tukums II sits in 11th place with 12 points, having won only 3 of their 16 matches. Their record includes 3 draws and 10 losses, with a concerning goal difference of -24, having scored just 21 goals while conceding 45. Recent form shows only one win in their last five matches, alongside three losses, indicating ongoing struggles to find consistency and stability on the pitch. The model output indicates a win probability of approximately 58% for Skanste, with Tukums II's chances sitting at around 20%. However, one caveat is that Skanste’s recent form has been inconsistent, and if they fail to convert their chances, they could struggle against a determined opponent. For further insights into this prediction, please refer to the "How We Reached This Prediction" section. The Daily Punt Analysis Team utilizes an in-house model that assesses fixtures through expected goals and actual results across the season.
Betting Predictions
How the model works, and its full prediction record, are set out on our How It Works and Accuracy pages.
Both attacks have been productive in recent matches, with regular goal-scoring on either side.
Combined goal output is high (3.2 per game). The over has been the right side more often than not.
The most likely scoreline per our model at 12.7% probability.
Skanste have been the stronger side, winning 42% of their matches.
Our model projects a 2-1 Skanste win as the most likely scoreline at 12.7% probability. These six outcomes together cover the bulk of the projected probability for this fixture.
Lines averaged across 3 bookmakers. Skanste are the favourites on the spread, so the larger handicaps pay more if they win comfortably while the smaller lines protect the bet on a narrower result.
Best Betting Odds
Skanste vs Tukums II| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 1.64 | 4.10 | 3.80 | — | — | — | — | |
| 1.62 | 4.15 | 3.94 | 1.31 | 2.92 | 1.36 | 2.75 | |
| 1.62 | 4.20 | 3.90 | — | — | — | — | |
| 1.66 | 3.91 | 3.72 | — | — | — | — | |
| 1.67 | 3.80 | 3.80 | — | — | 1.36 | 2.75 | |
| 1.65 | 4.20 | 3.70 | 1.36 | 3.00 | — | — | |
| 1.64 | 4.20 | 4.00 | 1.31 | 2.92 | 1.36 | 2.82 | |
Betano | 1.67 | 4.10 | 3.70 | — | — | — | — |
Superbet | 1.69 | 4.10 | 3.70 | 1.31 | 2.92 | 1.38 | 2.82 |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 9 Meetings (Skanste leads 7-1)

















In the last nine encounters between Skanste and Tukums II, Skanste has won seven times, with one draw and one victory for Tukums II. The scorelines indicate a generally one-sided rivalry, with Skanste frequently dominating; they secured three wins by a margin of three goals or more, including a notable 7-0 victory. Tukums II's lone win came in April 2026, while their last draw occurred in August 2022. Overall, Tukums II has struggled to find consistent success against Skanste, highlighting a significant competitive imbalance in this fixture.
1. Liga Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 20 | 16 | 3 | 1 | 86 | 16 | 70 | 51 | WDWWW | |
| 2 | 20 | 16 | 3 | 1 | 58 | 19 | 39 | 51 | WDWWW | |
| 3 | 20 | 14 | 4 | 2 | 37 | 22 | 15 | 46 | DWWWW | |
| 4 | 20 | 13 | 5 | 2 | 46 | 21 | 25 | 44 | LWWWW | |
| 5 | 20 | 11 | 4 | 5 | 41 | 28 | 13 | 37 | LWWWW | |
| 6 | 20 | 9 | 1 | 10 | 34 | 32 | 2 | 28 | WLLWL | |
| 7 | 20 | 8 | 2 | 10 | 43 | 41 | 2 | 26 | WLWDW | |
| 12 | 19 | 2 | 6 | 11 | 20 | 40 | -20 | 12 | LLDLL | |
| 13 | 19 | 3 | 3 | 13 | 23 | 59 | -36 | 12 | LLLLD | |
| 14 | 20 | 1 | 3 | 16 | 16 | 61 | -45 | 6 | DLLLL |
Venue Record
Current season at home / on the roadKey Statistics
2026 Season
Skanste have won 7 of their last 14 matches at home, drawing 3 and losing 4. Their recent home fixtures include beat Skanste 6-2 and beat Skanste 5-1.
Overall, the wider run reads 13W 5D 13L from the last 31 games (42% win rate). The form line is positive, with more wins than defeats across the sample.













Tukums II have won 3 of their last 15 matches on the road, drawing 1 and losing 11. Their recent away fixtures include lost to Tukums II 5-0 and lost to Skanste 6-2.
Overall, the wider run reads 6W 4D 19L from the last 29 games (21% win rate). The form line has been negative, with defeats outweighing wins across the sample.












Lineups
Lineups not yet announced
Starting lineups are usually confirmed approximately 1 hour before kick-off.
Unavailable Players
0 players
Skanste
No reported absences
Tukums II
No reported absences
Betting Strategy
High-probability picks are the most likely outcomes. Value selections are markets where our model's probability sits above the price implied by the odds. They will not always come in, but the odds are in your favour over time.
Yellow Card Prediction
The referee for this fixture has not been confirmed, so we are sitting this card market out.
Corner Prediction
Skanste average 1.9 goals per match at home; Tukums II 1.3 on the road. Open, attack-leaning sides tend to produce more corners; tight, low-event games tend to produce fewer. Our pick is over 9.5 corners at 1.72.
Player Stats Bet
Skanste have been the stronger side on attack across the season, winning 42% of their matches and averaging 1.9 goals per game. Skanste player to score at 1.85 looks well supported by the data.
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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.
