Kalju Nomme vs Flora Tallinn Prediction, Tips & Odds
Kalju Nomme vs Flora Tallinn
Match Preview
The model favours Flora Tallinn to win this match, projecting a scoreline of 2-1. Currently positioned second in the league, Flora Tallinn has had a strong season with 18 wins from 30 matches, accumulating 55 points. Their goal-scoring ability is evident, having netted 59 goals, though they have conceded 41, resulting in a goal difference of 18. Their recent form, with three wins, one draw, and one loss in the last five matches, indicates they are in decent shape heading into this fixture. On the other hand, Kalju Nomme sits in fourth place with 50 points from 30 matches, having achieved 15 wins. However, their recent form has been less consistent, with only two wins in their last five games, alongside three losses. Despite a solid goal difference of 24, Kalju has struggled to maintain momentum, which could hinder their chances against a strong Flora side. The model gives Flora Tallinn a win probability of approximately 60%, suggesting a solid chance of success in this encounter. However, Kalju Nomme's home advantage and their ability to pull off surprises should not be underestimated. For more details on our prediction method, please refer to the "How We Reached This Prediction" section, where the analysis is based on expected goals and actual results throughout the season, conducted by The Daily Punt Analysis Team.
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 (3.7 per game). The over has been the right side more often than not.
The most likely scoreline per our model at 15.0% probability.
Kalju Nomme have been the stronger side, winning 44% of their matches.
Our model projects a 1-1 draw as the most likely scoreline at 15.0% probability. These six outcomes together cover the bulk of the projected probability for this fixture.
Lines averaged across 4 bookmakers. Kalju Nomme 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
Kalju Nomme vs Flora Tallinn| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 2.32 | 3.44 | 2.52 | 1.49 | 2.30 | 1.44 | 2.51 | |
| 2.38 | 3.60 | 2.45 | 1.50 | 2.45 | — | — | |
| 2.42 | 3.46 | 2.66 | 1.55 | 2.35 | — | — | |
| 2.38 | 3.30 | 2.60 | — | — | 1.44 | 2.50 | |
| 2.40 | 3.60 | 2.40 | 1.57 | 2.35 | 1.50 | 2.50 | |
| 2.32 | 3.44 | 2.52 | 1.49 | 2.30 | 1.44 | 2.56 | |
Betano | 2.40 | 3.35 | 2.55 | — | — | — | — |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 10 Meetings (evenly matched 4-4)The head-to-head record between Kalju Nomme and Flora Tallinn stands at 4 wins for each team, with 2 draws in their last 10 encounters. This indicates a balanced rivalry with no clear dominance from either side. The scorelines reflect a mixture of tight contests, such as the 1-0 and 2-2 draws, alongside some higher-scoring matches like the 3-2 and 3-1 victories. Notably, Flora Tallinn's last win against Kalju Nomme came in April 2025, suggesting that both teams have experienced recent success against each other. Overall, the matches have shown competitive parity with occasional narrow margins.
Meistriliiga Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  FC Levadia Tallinn | 32 | 25 | 6 | 1 | 87 | 22 | 65 | 81 | WWWDW |
| 2 | Flora Tallinn | 32 | 19 | 1 | 12 | 62 | 44 | 18 | 58 | WLLWW |
| 3 |  Paide | 32 | 17 | 6 | 9 | 52 | 39 | 13 | 57 | WWLWW |
| 4 | Kalju Nomme | 32 | 15 | 6 | 11 | 54 | 33 | 21 | 51 | LDLWW |
| 5 |  Tammeka | 32 | 15 | 2 | 15 | 42 | 51 | -9 | 47 | LLWLL |
| 6 |  Laagri | 32 | 14 | 2 | 16 | 45 | 47 | -2 | 44 | WWWDW |
| 8 |  Kuressaare | 32 | 10 | 5 | 17 | 34 | 51 | -17 | 35 | LWWDL |
| 9 |  Nõmme United | 32 | 10 | 1 | 21 | 50 | 74 | -24 | 31 | WLLLL |
| 10 |  Trans Narva | 32 | 5 | 5 | 22 | 25 | 70 | -45 | 20 | LLDDL |
Venue Record
Current season at home / on the roadKey Statistics
2026 SeasonKalju Nomme have won 9 of their last 22 matches at home, drawing 6 and losing 7. Their recent home fixtures include lost to Kalju Nomme 0-1 and beat Kalju Nomme 2-0.
Overall, the wider run reads 20W 10D 15L from the last 45 games (44% win rate). The form line is positive, with more wins than defeats across the sample.
Flora Tallinn have won 12 of their last 23 matches on the road, drawing 3 and losing 8. Their recent away fixtures include lost to Kuressaare 2-0 and beat Nõmme United 2-3.
Overall, the wider run reads 27W 3D 18L from the last 48 games (56% win rate). The form line is positive, with more wins than defeats across the sample.
Lineups
Lineups not yet announced
Starting lineups are usually confirmed approximately 1 hour before kick-off.
Unavailable Players
0 playersKalju Nomme
No reported absences
Flora Tallinn
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
Kalju Nomme average 1.9 goals per match at home; Flora Tallinn 1.8 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
Kalju Nomme have been the stronger side on attack across the season, winning 44% of their matches and averaging 1.9 goals per game. Kalju Nomme 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.