Ulm vs Havelse: match statistics
Ulm vs Havelse: form, goals and key statistics
Key match information
Ulm play Havelse in 3. Liga (Germany). The match date is 18 April 2026 at 16:30. Final score: 2:1.
Current form
Ulm: 1-1-3, 0.80 points/match. Havelse: 2-0-3, 1.20 points/match.
Goal statistics
Ulm scores 1.29 and concedes 2.05 goals per match. Havelse scores 1.50 and concedes 2.34. League average: 3.21 goals.
BTTS / Over / Under
BTTS: Ulm 74%, Havelse 76%. Over 2.5: Ulm 66%, Havelse 71%. League level: BTTS 64%, Over 2.5 64%.
xG, shots and style
Ulm has higher xG: 1.43 vs 1.42. Ulm: 11.8 shots per match, Havelse: 12.2.
Match halves
Ulm: half-time lead 16%, second-half goals 0.79. Havelse: half-time lead 21%, second-half goals 1.05.
Goals by minute
Ulm: 76-90+ (14 goals). Havelse: 76-90+ (21 goals). This is historical distribution, not a predicted goal minute.
League context
3. Liga: 3.21 goals per match, BTTS 64%, Over 2.5 64%.
Head-to-head
1 H2H matches: 0-0-1. Average goals 3.00, BTTS 100%.
Match description
Both teams occupy neighboring positions in the table (Ulm 18th, Havelse 17th), but the metrics point to different strengths: Ulm concedes an average of 1.94 goals per home match with xG against 1.60, while Havelse concedes 2.38 goals on the road with xG against 2.13. In attack the visitors look better – Havelse have scored 49 goals this season versus Ulm’s 42 and have 11 goals in the last 5 matches compared to the hosts’ 6; average xG for Havelse is 1.50 versus 1.44 for Ulm. Ulm, however, have a defensive edge at home: clean sheets in 19% of home matches against just 6% away clean sheets for Havelse, and an average possession of 51% helps control the game. In the last 5 matches Havelse have 3 wins and average 1.8 points per game, while Ulm have 2 wins and 1.4 points per game, giving the visitors better offensive momentum but also greater vulnerability at the back. Therefore I project a balanced match with a slight advantage to the hosts due to a more stable home defense: Ulm 45%, draw 30%, Havelse 25%.
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
| Ulm | Havelse | |
|---|---|---|
| Accuracy (shots on target) | 34% | 32% |
| Chance quality (xG per shot) | 0.12 | 0.12 |
| Finishing (goals per shot on target) | 0.32 | 0.39 |
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.
Havelse is 50% better for: last-5 form.
0.8 pts / match - Ulm · 1.2 pts / match - Havelse
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.
Havelse is 16% better for: goals scored per match.
1.29 goals / match - Ulm · 1.5 goals / match - Havelse
Ulm is 14% better for: goals conceded per match.
2.05 goals / match - Ulm · 2.34 goals / match - Havelse
Ulm scores in 87% of matches (33 of 38 matches), while Havelse keeps a clean sheet in 8% (3 of 38 matches).
Havelse scores in 82% of matches (31 of 38 matches), while Ulm keeps a clean sheet in 13% (5 of 38 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 — Ulm
Over / Under — Havelse
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.
Before half-time (1st half)
After half-time (2nd half)
Ulm - second-half results
Leads at half-time in 16% of matches and wins 24%. Also wins matches without a half-time lead.
Concedes 0.3 more goals per match after half-time - defensive level drops in the second half.
Havelse - second-half results
Leads at half-time in 21% of matches and wins 24%. Also wins matches without a half-time lead.
Concedes 0.5 more goals per match after half-time - defensive level drops in the second half.
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 1.00 | 0.80 |
| Goals scored / match | 0.6 | 0.8 |
| Goals conceded / match | 0.6 | 1.4 |
| Average goals in match | 1.2 | 2.2 |
| 1 goal | 40% | 80% |
| 2 goals | 40% | 60% |
| 3 goals | 20% | 40% |
| Clean sheet | 60% | 20% |
| No goal | 60% | 60% |
| Goal difference | 0 | -3 |
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 0.80 | 0.80 |
| Goals scored / match | 0.4 | 1.2 |
| Goals conceded / match | 1.2 | 2.0 |
| Average goals in match | 1.6 | 3.2 |
| 1 goal | 80% | 100% |
| 2 goals | 40% | 80% |
| 3 goals | 40% | 60% |
| Clean sheet | 40% | 20% |
| No goal | 60% | 20% |
| Goal difference | -4 | -4 |
* 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 (14 goli). Concedes most in 76-90 (21). Late-goal balance (76-90): -7 - late phases are a weakness.
Most dangerous in minutes 76-90 (21 goli). Concedes most in 46-60 (20). Late-goal balance (76-90): +2 - wins late phases.
* 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
Ulm
Havelse
* 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 (3. Liga).
Teams vs league
| Ulm | Liga | Havelse | |
|---|---|---|---|
| Average goals in match | ▲ 3.34 | 3.21 | ▲ 3.84 |
| Both teams scored | ▲ 74% | 64% | ▲ 76% |
| Min. 3 goals (Over 2.5) | ▲ 66% | 64% | ▲ 71% |
| Clean sheets | ▼ 13% | 21% | ▼ 8% |
| Goal before half-time | ▼ 74% | 77% | ▲ 79% |
| Goal after half-time | ▼ 79% | 83% | ▲ 97% |
^ green = above league average, ˇ red = below league average. This shows direction of the gap, not a team rating.
Head-to-head
Previous meeting: Ulm 0 - 0 - 1 Havelse. Average goals 3.00, both teams scored in 100% matches.
FAQ
What was the result of Ulm vs Havelse?
The 3. Liga match finished Ulm 2:1 Havelse. Full match statistics, the half-by-half breakdown and head-to-head are on this page.
What do the goal statistics show before Ulm vs Havelse?
Ulm score 1.29 goals per game on average and Havelse 1.50. The 3. Liga average is 3.21 goals, with Over 2.5 landing in 64% of games. Both teams score in 74% of Ulm's matches and 76% of Havelse's.
What form are Ulm and Havelse in?
Over the last 5 games Ulm have a 1-1-3 record (0.80 points per game) and Havelse 2-0-3 (1.20 points per game).
Where can I find a betting tip and analysis for Ulm vs Havelse?
The statistical background for Ulm vs Havelse — form, head-to-head, goals, BTTS and Over/Under — is on this page. The tip with full reasoning and a value assessment is in the NoFluffPicks app.