Tukums vs Liepāja: match statistics
Tukums vs Liepāja: form, goals and key statistics
Key match information
Tukums play Liepāja in Virsliga (Latvia). The match date is 17 April 2026 at 16:30. Final score: 2:2.
Current form
Tukums: 0-0-5, 0.00 points/match. Liepāja: 1-0-4, 0.60 points/match.
Goal statistics
Tukums scores 1.65 and concedes 2.04 goals per match. Liepāja scores 1.27 and concedes 1.55. League average: 2.98 goals.
BTTS / Over / Under
BTTS: Tukums 91%, Liepāja 55%. Over 2.5: Tukums 78%, Liepāja 59%. League level: BTTS 56%, Over 2.5 55%.
xG, shots and style
Liepāja has higher xG: 1.50 vs 1.42. Tukums: 11.9 shots per match, Liepāja: 12.4.
Match halves
Tukums: half-time lead 26%, second-half goals 0.83. Liepāja: half-time lead 36%, second-half goals 0.68.
Goals by minute
Tukums: 76-90+ (12 goals). Liepāja: 31-45+ (7 goals). This is historical distribution, not a predicted goal minute.
League context
Virsliga: 2.98 goals per match, BTTS 56%, Over 2.5 55%.
Head-to-head
5 H2H matches: 0-2-3. Average goals 3.20, BTTS 60%.
Match description
Liepāja has a clear advantage in chance creation: away xG averages 1.74 vs 1.13 for Tukums, and the visitors average 14.5 shots per match with 65% possession, while the hosts register 8 shots and 46% possession. Despite this, Liepāja convert this into only 0.5 goals per away match and have a low finishing rate of 3%, with 50% of away games yielding no goals. Tukums have not won at home (0 wins, 3 draws, 3 losses), but score consistently — averaging 1.0 goal per home match and 0% home clean-sheet rate — while conceding 1.67 goals on average and carrying an xG against of 1.65, highlighting defensive frailties. In the last 5 fixtures Liepāja average 0.8 points per game (record 1-1-3), and Tukums 0.6 points per game (0-3-2), giving the visitors a slight edge in form. Considering the visitors’ superiority in xG (1.74 vs 1.13), shots (14.5 vs 8) and possession (65% vs 46%), coupled with poorer finishing, I project a Liepāja win with an approximate probability distribution: 55% away win, 30% draw, 15% home win.
Half-by-half
Match statistics
Pre-match profile— what do the season numbers say?
This is a team profile based on season data and form. Match-flow statistics are shown only after the fixture is played.
Team stats— who is more efficient?
Attack and defence comparison for both teams in the current season.
Shooting quality
| Tukums | Liepāja | |
|---|---|---|
| Accuracy (shots on target) | 39% | 35% |
| Chance quality (xG per shot) | 0.12 | 0.12 |
| Finishing (goals per shot on target) | 0.35 | 0.29 |
xG per shot around 0.08 usually means long-range attempts; 0.15+ usually means box chances. The style label comes from possession, shot volume and conversion.
* xG (expected goals) says how many goals a team should score from its chances. If actual goals are above xG, finishing is above average; if below xG, chances are being missed.
Team form— who is in better shape?
Last five matches and season record, overall and split by home and away matches.
Goals— how do both teams score and concede?
How many goals both teams score and concede, plus how often they keep a clean sheet or fail to score.
Tukums is 30% better for: goals scored per match.
1.65 goals / match - Tukums · 1.27 goals / match - Liepāja
Liepāja is 32% better for: goals conceded per match.
2.04 goals / match - Tukums · 1.55 goals / match - Liepāja
Tukums scores in 96% of matches (22 of 23 matches), while Liepāja keeps a clean sheet in 14% (3 of 22 matches).
Liepāja scores in 68% of matches (15 of 22 matches), while Tukums keeps a clean sheet in 4% (1 of 23 matches).
How often they score at least...
How often they concede at least...
* Statistics include both teams' home and away matches in the current season.
Both teams scored (BTTS)— how often do both teams score?
How often both teams' matches have goals on both sides, compared with the league average.
Goal patterns
BTTS and goal count
Goal count (Over/Under)— how often do these matches cross the goal lines?
How often matches involving these teams clear goal thresholds, in the full match and in each half.
Full match - team comparison (Over)
Over / Under — Tukums
Over / Under — Liepāja
1st half
2nd half
Match halves— when do the teams score more often?
How teams split performance between first and second half: goals, points, clean sheets and half-time state.
Liepāja is 13% better for: first-half form (half-time points).
1.09 pts / match - Tukums · 1.23 pts / match - Liepāja
Before half-time (1st half)
After half-time (2nd half)
Tukums - second-half results
Leads at half-time in 26% of matches and wins 13%. Sometimes loses the lead after half-time.
Defence stays stable across the full match.
Liepāja - second-half results
Leads at half-time in 36% of matches and wins 36%. Also wins matches without a half-time lead.
Defence stays stable across the full match.
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 1.40 | 0.20 |
| Goals scored / match | 0.8 | 0.4 |
| Goals conceded / match | 1.0 | 2.0 |
| Average goals in match | 1.8 | 2.4 |
| 1 goal | 100% | 100% |
| 2 goals | 60% | 80% |
| 3 goals | 20% | 40% |
| Clean sheet | 20% | 0% |
| No goal | 40% | 60% |
| Goal difference | -1 | -8 |
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 0.80 | 0.80 |
| Goals scored / match | 0.6 | 0.4 |
| Goals conceded / match | 1.0 | 1.0 |
| Average goals in match | 1.6 | 1.4 |
| 1 goal | 80% | 80% |
| 2 goals | 40% | 40% |
| 3 goals | 40% | 20% |
| Clean sheet | 40% | 40% |
| No goal | 80% | 60% |
| Goal difference | -2 | -3 |
* Colours in tables show event frequency: green is common, yellow is moderate, red is rare. It is frequency, not a team rating.
Goals by minute— when do goals arrive?
Match phases in which both teams most often score and concede.
Most dangerous in minutes 76-90 (12 goli). Concedes most in 16-30 (11). Late-goal balance (76-90): +5 - wins late phases.
Most dangerous in minutes 31-45 (7 goli). Concedes most in 0-15 (8). Late-goal balance (76-90): -1 - late phases are a weakness.
* Buckets 31-45 and 76-90 include added-time goals.
Additional team indicators— what do xG, efficiency and form show?
A comparison of chance quality, results and trends based on completed matches from the current season.
Match profile
Tukums
Liepāja
* The estimated goal total and split, BTTS estimate, 0:0 risk and goal range are calculated from public season averages and frequencies for both teams. This is a statistical match profile, not a private model prediction or betting pick. The remaining indicators describe completed matches from the season.
League context— is this a high-scoring league?
How both teams compare with league-wide averages (Virsliga).
Teams vs league
| Tukums | Liga | Liepāja | |
|---|---|---|---|
| Average goals in match | ▲ 3.70 | 2.98 | ▼ 2.82 |
| Both teams scored | ▲ 91% | 56% | • 55% |
| Min. 3 goals (Over 2.5) | ▲ 78% | 55% | ▲ 59% |
| Clean sheets | ▼ 4% | 24% | ▼ 14% |
| Goal before half-time | ▲ 91% | 75% | ▲ 86% |
| Goal after half-time | ▲ 91% | 84% | ▲ 86% |
^ green = above league average, ˇ red = below league average. This shows direction of the gap, not a team rating.
Head-to-head
Recent meetings (5): Tukums 0 - 2 - 3 Liepāja. Average goals 3.20, both teams scored in 60% matches.
FAQ
What was the result of Tukums vs Liepāja?
The Virsliga match finished Tukums 2:2 Liepāja. Full match statistics, the half-by-half breakdown and head-to-head are on this page.
What is the head-to-head record between Tukums and Liepāja?
In the last 5 head-to-head matches Tukums won 0, Liepāja won 3 and 2 ended level. These games averaged 3.20 goals, with both teams scoring in 60% of them.
What do the goal statistics show before Tukums vs Liepāja?
Tukums score 1.65 goals per game on average and Liepāja 1.27. The Virsliga average is 2.98 goals, with Over 2.5 landing in 55% of games. Both teams score in 91% of Tukums's matches and 55% of Liepāja's.
What form are Tukums and Liepāja in?
Over the last 5 games Tukums have a 0-0-5 record (0.00 points per game) and Liepāja 1-0-4 (0.60 points per game).
Where can I find a betting tip and analysis for Tukums vs Liepāja?
This page shows the full statistical context — form, head-to-head, goals, BTTS and Over/Under. The tip, value assessment and full reasoning are in the NoFluffPicks app.