Skanste vs Smiltene Prediction, Tips & Odds
Skanste vs Smiltene


Match Preview
The model favours Skanste to win this match against Smiltene, projecting a scoreline of 2-1. Skanste currently sits in 7th place in the league, having accumulated 26 points from 22 matches. Their season has been a mix of results, with 8 wins but also 12 losses. Notably, they have scored 43 goals while conceding 44, indicating a closely contested nature of their matches. On the other hand, Smiltene finds themselves at the bottom of the table in 11th place, with only 16 points from 21 games. Their record of 4 wins, 4 draws, and 13 losses highlights significant struggles this season, particularly in defence, as they have conceded 57 goals, resulting in a goal difference of -28. This defensive vulnerability could be a key factor in their performance against Skanste. The model gives Skanste a strong win probability, reflecting their position and recent form, while Smiltene’s struggles are likely to play a significant role in the outcome. However, it is worth noting that if Smiltene can find a way to improve their defensive organisation, they could potentially spring a surprise. The full method used for this prediction is detailed in the "How We Reached This Prediction" section. The Daily Punt Analysis Team employs an in-house model that evaluates 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 (3.4 per game). The over has been the right side more often than not.
The most likely scoreline per our model at 10.8% probability.
Skanste have been the stronger side, winning 38% of their matches.
Our model projects a 2-1 Skanste win as the most likely scoreline at 10.8% probability. These six outcomes together cover the bulk of the projected probability for this fixture.
Lines averaged across 2 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 Smiltene| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 1.95 | 4.00 | 2.80 | — | — | — | — | |
| 2.03 | 3.94 | 2.64 | — | — | — | — | |
| 2.05 | 3.60 | 2.75 | — | — | 1.30 | 3.10 | |
| 1.75 | 4.33 | 3.20 | 1.30 | 3.40 | — | — | |
| 2.09 | 4.00 | 2.78 | 1.29 | 3.30 | 1.30 | 3.26 | |
Betano | 1.98 | 4.15 | 2.77 | — | — | — | — |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 8 Meetings (Skanste leads 4-1)















The head-to-head record between Skanste and Smiltene shows Skanste winning 4 matches, drawing 3, and Smiltene winning 1. This indicates a strong advantage for Skanste, particularly evident in the recent results where they secured three wins by a margin of at least two goals, including a 3-0 victory. While there have been a few closely contested encounters, such as the 1-1 and 2-2 draws, Smiltene's single win came over a year ago, suggesting that Skanste has been the more dominant side in this matchup recently.
1. Liga Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 23 | 19 | 3 | 1 | 96 | 18 | 78 | 60 | WWWWD | |
| 2 | 23 | 16 | 5 | 2 | 63 | 26 | 37 | 53 | DDLWD | |
| 3 | 23 | 16 | 5 | 2 | 49 | 27 | 22 | 53 | DWWDW | |
| 4 | 23 | 15 | 5 | 3 | 54 | 30 | 24 | 50 | WLWLW | |
| 5 | 23 | 12 | 5 | 6 | 46 | 33 | 13 | 41 | DWLLW | |
| 6 | 23 | 10 | 3 | 10 | 37 | 34 | 3 | 33 | DWDWL | |
| 9 | 23 | 8 | 2 | 13 | 46 | 48 | -2 | 26 | LLLWL | |
| 10 | 23 | 5 | 5 | 13 | 34 | 61 | -27 | 20 | DWWWL | |
| 12 | 23 | 5 | 3 | 15 | 37 | 65 | -28 | 18 | WLLLW | |
| 13 | 23 | 3 | 7 | 13 | 21 | 45 | -24 | 16 | DLLWL | |
| 14 | 23 | 1 | 3 | 19 | 17 | 70 | -53 | 6 | LLLDL |
Venue Record
Current season at home / on the roadKey Statistics
2026 Season
Skanste have won 7 of their last 15 matches at home, drawing 3 and losing 5. Their recent home fixtures include lost to Skanste 0-2 and beat Skanste 6-2.
Overall, the wider run reads 13W 5D 16L from the last 34 games (38% win rate). The form line has been negative, with defeats outweighing wins across the sample.













Smiltene have won 4 of their last 17 matches on the road, drawing 2 and losing 11. Their recent away fixtures include beat Super Nova 2 0-2 and lost to JDFS Alberts 3-2.
Overall, the wider run reads 7W 8D 20L from the last 35 games (20% 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
Smiltene
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 1.8 goals per match at home; Smiltene 1.5 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 38% of their matches and averaging 1.8 goals per game. Skanste player to score at 1.85 looks well supported by the data.
What's Your Prediction?
Pick the result you expect
Do you agree with this prediction?
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.



