JDFS Alberts vs Super Nova II: match statistics
JDFS Alberts vs Super Nova II: form, goals and key statistics
Key match information
JDFS Alberts played Super Nova II in 1. Liga (Latvia). The match was played on 25 July 2026. Venue: Rīgas 49. vidusskolas sporta komplekss. Final score: 1:1.
Current form
JDFS Alberts: 3-1-1, 2.00 points/match. Super Nova II: 1-2-2, 1.00 points/match.
Goal statistics
JDFS Alberts scores 2.15 and concedes 1.62 goals per match. Super Nova II scores 1.54 and concedes 1.46. League average: 3.48 goals.
BTTS / Over / Under
BTTS: JDFS Alberts 77%, Super Nova II 69%. Over 2.5: JDFS Alberts 77%, Super Nova II 46%. League level: BTTS 61%, Over 2.5 68%.
xG, shots and style
JDFS Alberts has higher xG: 1.90 vs 1.19. JDFS Alberts: 14.4 shots per match, Super Nova II: 7.9.
Match halves
JDFS Alberts: half-time lead 31%, second-half goals 1.38. Super Nova II: half-time lead 38%, second-half goals 0.85.
Goals by minute
JDFS Alberts: 61-75 (8 goals). Super Nova II: 16-30 (4 goals). This is historical distribution, not a predicted goal minute.
League context
1. Liga: 3.48 goals per match, BTTS 61%, Over 2.5 68%.
Head-to-head
Before this fixture, 1 previous H2H matches were available: 0-0-1. Average goals 3.00, BTTS 100%.
Archived pre-match analysis
This analysis was prepared before kick-off. The conclusions use only information available before the match and do not include the final result or post-match statistics.
General match analysis
JDFS Alberts has a clear edge in key home metrics: they average 2.33 goals per home game with xG 2.15 and register 16.33 shots (8.83 on target), while Super Nova II away averages 1.5 goals with xG 1.21 and only 8.5 shots (4.5 on target). The hosts' defense also performs better — JDFS concedes 1.17 goals at home on average (xG against 1.43), whereas the visitors concede 2.0 goals away on average (xG against 1.96), indicating greater vulnerability at the back for Super Nova II. In the last 5 matches the hosts are 2-1-2 with 7 goals scored and 8 conceded and 1.4 points per game, while Super Nova II are 1-2-2 with 8 scored and 11 conceded and 1.0 point per game; this suggests superior short-term efficiency for the hosts. Additionally, the hosts win 67% of home fixtures versus the visitors' 17% away win rate, and the fact that Super Nova II have 0% clean sheets away (FTS 0%) increases the likelihood of both teams scoring. On that basis I tip a JDFS Alberts win, while noting that the visitors' shooting efficiency (conversion 18% vs. the hosts' 14%) can keep the result close to a draw.
View the statistical overviewBTTS - will both teams score?
The statistical profile favors BTTS: season rates are 57% for JDFS Alberts and 83% for Super Nova II, with the league average BTTS at 60%. In the last 5 matches the home side had BTTS in 40% while the visitors in 80%, so the visitors’ recent form strongly supports Goal/Goal. Both teams have similar attacking xG (1.18 vs 1.21), and their season goals scored averages are 1.57 and 1.50 (total 3.07), with the visitors conceding 2.0 goals on average this season and 2.2 in the last 5. Shot stats show the visitors produce more shots on target (4.5 vs 3.5) and have higher conversion (18% vs 15%), while their clean sheet percentage is only 17% (home 29%), increasing the likelihood of goals from both sides. Based on this, I select BTTS = Yes with an estimated 70% vs 30% for BTTS = No.
View BTTS statisticsOver/Under - goals analysis
The match projects as offensive — JDFS Alberts scores an average of 1.57 goals per home match, while Super Nova II records 1.50 as visitors, yielding a combined average of 3.07 goals; in the last 5 matches JDFS scored 7 goals (1.4 avg), and Super Nova II 8 goals (1.6 avg). xG confirms a similar picture: JDFS offensive xG is 1.18 versus xG conceded by Super Nova II 1.96, implying about 1.57 expected goals for the hosts; meanwhile the visitors’ offensive xG 1.21 against the hosts’ defensive xG 1.52 suggests about 1.37 goals for the visitors, together ~2.94 xG. Additionally Super Nova II concedes on average 2.0 goals per match, and BTTS occurs in 57% of hosts’ matches and 83% of guests’ matches, increasing the chance of at least two goals; the league also has a high rate of matches over 2.5 goals (68%). A simple Poisson model for total xG ≈2.94 gives approximate probabilities: ~79% for Over 1.5, ~56% for Over 2.5 and ~34% for Over 3.5. Therefore I recommend a bet on Over 1.5 as the strongest signal — the total goals average, high BTTS (57%/83%) and the visitors’ weaker defense (2.0 conceded) all favour the Over side.
View Over/Under statisticsHT/FT - half-time and full-time scenario
JDFS Alberts led at the break in 4 appearances (57%), while Super Nova II led only once (17%), indicating a clear home advantage at Half-Time. The home side averages 1.0 goals in the first half versus 0.33 for the visitors and concedes only 0.29 goals before the break, whereas the visitors concede 1.17 goals on average before the break, so a home lead after 45 minutes is the most likely outcome. Over the full match, JDFS has a 57% win rate and averages 1.57 goals per match, while Super Nova II has a 17% win rate and concedes 2.0 goals per match, supporting a Full-Time victory for the hosts. However, the away team are more active after the break (1.17 goals on average in the second half and 83% of matches with a second-half goal), so turnaround scenarios (1/X or X/X) are possible, but the strongest signal remains 1/1.
View first-half and second-half statisticsHalf-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
| JDFS Alberts | Super Nova II | |
|---|---|---|
| Accuracy (shots on target) | 45% | 46% |
| Chance quality (xG per shot) | 0.13 | 0.15 |
| Finishing (goals per shot on target) | 0.33 | 0.43 |
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.
JDFS Alberts is 100% better for: last-5 form.
2 pts / match - JDFS Alberts · 1 pts / match - Super Nova II
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.
JDFS Alberts is 40% better for: goals scored per match.
2.15 goals / match - JDFS Alberts · 1.54 goals / match - Super Nova II
Super Nova II is 11% better for: goals conceded per match.
1.62 goals / match - JDFS Alberts · 1.46 goals / match - Super Nova II
JDFS Alberts scores in 85% of matches (11 of 13 matches), while Super Nova II keeps a clean sheet in 23% (3 of 13 matches).
Super Nova II scores in 85% of matches (11 of 13 matches), while JDFS Alberts keeps a clean sheet in 15% (2 of 13 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 - JDFS Alberts
Over / Under - Super Nova II
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.
Super Nova II is 24% better for: first-half form (half-time points).
1.31 pts / match - JDFS Alberts · 1.62 pts / match - Super Nova II
Before half-time (1st half)
After half-time (2nd half)
JDFS Alberts - second-half results
Leads at half-time in 31% of matches and wins 54%. Also wins matches without a half-time lead.
Defence stays stable across the full match.
Super Nova II - second-half results
Leads at half-time in 38% of matches and wins 38%. Also wins matches without a half-time lead.
Defence stays stable across the full match.
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 1.60 | 2.00 |
| Goals scored / match | 0.8 | 1.8 |
| Goals conceded / match | 0.6 | 1.0 |
| Average goals in match | 1.4 | 2.8 |
| 1 goal | 60% | 80% |
| 2 goals | 60% | 80% |
| 3 goals | 20% | 60% |
| Clean sheet | 60% | 20% |
| No goal | 60% | 40% |
| Goal difference | +1 | +4 |
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 1.00 | 1.40 |
| Goals scored / match | 0.6 | 1.0 |
| Goals conceded / match | 1.4 | 0.8 |
| Average goals in match | 2.0 | 1.8 |
| 1 goal | 60% | 60% |
| 2 goals | 60% | 60% |
| 3 goals | 40% | 20% |
| Clean sheet | 60% | 40% |
| No goal | 60% | 40% |
| Goal difference | -4 | +1 |
* 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 61-75 (8 goals). Concedes most in 46-60 (6). Late-goal balance (76-90): +8 - wins late phases.
Most dangerous in minutes 16-30 (4 goals). Concedes most in 76-90 (7). Late-goal balance (76-90): -3 - 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
JDFS Alberts
Super Nova II
* 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 (1. Liga).
Teams vs league
| JDFS Alberts | Liga | Super Nova II | |
|---|---|---|---|
| Average goals in match | ▲ 3.77 | 3.48 | ▼ 3.00 |
| Both teams scored | ▲ 77% | 61% | ▲ 69% |
| Min. 3 goals (Over 2.5) | ▲ 77% | 68% | ▼ 46% |
| Clean sheets | ▼ 15% | 22% | • 23% |
| Goal before half-time | ▼ 62% | 72% | ▼ 62% |
| Goal after half-time | • 85% | 84% | ▼ 77% |
^ green = above league average, ˇ red = below league average. This shows direction of the gap, not a team rating.
Lineups and player events
Verified starters, substitutes and recorded player events for this match.
Home team
Other recorded players
Away team
Other recorded players
Match timeline
Goals, cards and substitutions arranged in chronological order.
- JDFS AlbertsGoalRihards Ozoliņš
Referee and managers
Open their season profiles to compare match records, goals and disciplinary trends.
Head-to-head
Previous meeting: JDFS Alberts 0 - 0 - 1 Super Nova II. Average goals 3.00, both teams scored in 100% matches.
FAQ
What was the result of JDFS Alberts vs Super Nova II?
The 1. Liga match finished JDFS Alberts 1:1 Super Nova II. Full match statistics, the half-by-half breakdown and head-to-head are on this page.
What do the goal statistics show before JDFS Alberts vs Super Nova II?
JDFS Alberts score 2.15 goals per game on average and Super Nova II 1.54. The 1. Liga average is 3.48 goals, with Over 2.5 landing in 68% of games. Both teams score in 77% of JDFS Alberts's matches and 69% of Super Nova II's.
What form are JDFS Alberts and Super Nova II in?
Over the last 5 games JDFS Alberts have a 3-1-1 record (2.00 points per game) and Super Nova II 1-2-2 (1.00 points per game).
Where can I find a betting tip and analysis for JDFS Alberts vs Super Nova II?
The statistical background for JDFS Alberts vs Super Nova II — 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.