ABB vs Blooming: match statistics
ABB vs Blooming: form, goals and key statistics
Key match information
ABB played Blooming in LFPB (Bolivia). The match was played on 25 April 2026. Final score: 3:2.
Current form
ABB: 1-0-2, 1.00 points/match. Blooming: 2-1-0, 2.33 points/match.
Goal statistics
ABB scores 1.33 and concedes 2.67 goals per match. Blooming scores 3.00 and concedes 1.00. League average: 2.96 goals.
BTTS / Over / Under
BTTS: ABB 67%, Blooming 67%. Over 2.5: ABB 67%, Blooming 100%. League level: BTTS 62%, Over 2.5 62%.
xG, shots and style
Blooming has higher xG: 2.17 vs 1.65. ABB: 16.7 shots per match, Blooming: 18.0.
Match halves
ABB: half-time lead 33%, second-half goals 1.00. Blooming: half-time lead 67%, second-half goals 1.00.
Goals by minute
ABB: 31-45+ (1 goals). Blooming: 0-15 (3 goals). This is historical distribution, not a predicted goal minute.
League context
LFPB: 2.96 goals per match, BTTS 62%, Over 2.5 62%.
Head-to-head
Before this fixture, 2 previous H2H matches were available: 0-1-1. Average goals 4.00, BTTS 50%.
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
Blooming holds a clear statistical advantage: away they average 2.0 goals per match (average xG 1.72) and register about 9 shots on target, while ABB at home average 0 goals, average xG 1.26 and only 4 shots on target. This season the visitors have scored 9 and conceded 3, whereas the hosts have a record of 4 scored and 8 conceded, demonstrating Blooming’s superiority both in attacking efficiency and defensive solidity. In their last 5 matches Blooming have scored 12 goals and average 1.6 points per game, while ABB have 11 goals overall in their last five but have failed to score at home (100% of home matches without a goal) and average 1.2 points per game. The contrast in playing style is reflected in the numbers: the visitors maintain around 60% possession versus 28% for the hosts and have a shot conversion of approximately 14% versus 0% for ABB, indicating clearer goalscoring opportunities for Blooming. Considering the higher xG (1.72 vs 1.26), greater number of shots on target (9 vs 4) and the hosts’ lack of home effectiveness, I predict an away win (2) with a probability of 70%.
View the statistical overviewBTTS - will both teams score?
A strong signal for BTTS - Yes comes from Blooming's season BTTS rate of 100% and zero clean sheets away (0% clean sheets), while ABB has a season BTTS of 50% and BTTS in the last 5 matches at 80%. Both teams also have 100% of matches over 2.5 goals this season, and the league averages 3.0 goals per game, which further favors goal-heavy encounters. xG shows ABB generates 2.40 xG vs Blooming's 1.72 xG (total xG 4.12), with xG against of 1.28 for ABB and 1.58 for Blooming, so both sides create and concede a significant number of chances. Additionally ABB averages 12 shots on target vs Blooming's 9 and has a higher conversion rate 18% vs 14%, but despite ABB's seasonal 50% clean sheets they have conceded an average of 2.6 goals in the last 5 matches (13 conceded), while Blooming scored 12 goals in their last 5 (2.4 avg). Considering Blooming's 100% BTTS, 80% BTTS in the last 5 for both teams, total xG=4.12 and high over 2.5 rates, I assess BTTS probability at 80% vs 20% and tip "yes".
View BTTS statisticsOver/Under - goals analysis
Statistical analysis indicates a clear goal potential: ABB’s xG is 2.40 while xG against Blooming is 1.58, yielding an estimated ~1.99 goals for ABB; Blooming has xG 1.72 versus ABB’s xG against 1.28, giving ~1.50 goals, totaling ~3.49 goals. Additional support for Over 2.5 is that both teams have seasonOver25Percentage = 100% this season and in their last 5 matches both sides hit Over 2.5 in 80% of cases, with the league average at 3.0 goals per game. Shot metrics show ABB averages 20 shots and 12 on target with an 18% conversion, while Blooming averages 14 shots and 9 on target with a 14% conversion, indicating genuine attacking efficiency. Although ABB has 50% clean sheets, Blooming has 100% BTTS this season, regularly finding the net and increasing the likelihood of both teams scoring. Considering expected goals of 1.99 vs 1.50, the seasonal 100% Over 2.5 rate and recent form, I recommend playing the Over line at 2.5 as the strongest signal.
View Over/Under statisticsHT/FT - half-time and full-time scenario
The strongest scenario is ABB leading at the break and winning by full-time (HT/FT 1/1). ABB led at half-time in 2 of 2 matches (leadingAtHT_home 2.0, 100.0%), averaging 2.5 goals by the break (scoredAVGHT_home 2.5) and 3.5 goals per match (seasonScoredAVG_home 3.5) while conceding only 0.5 goals per match (seasonConcededAVG_home 0.5), resulting in HTPoints_home 6.0 versus HTPoints_away 1.0. Home xG is 2.4 compared to 1.72 for Blooming (xg_for_avg_home 2.4 vs xg_for_avg_away 1.72), and ABB registers more shots (20 vs 14) and more shots on target (12 vs 9), confirming an offensive advantage. Blooming averages 1.0 goal by half-time (scoredAVGHT_away 1.0) and statistically draws more often (drawPercentage_away 100.0), but ABB keeps a clean sheet at half-time in 100% of cases (seasonCSPercentageHT_home 100.0), which reduces the chance of a turnaround. As a result I assign HT/FT 1/1 the highest probability at 65%, and distribute the remaining scenarios more conservatively.
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
| ABB | Blooming | |
|---|---|---|
| Accuracy (shots on target) | 30% | 61% |
| Chance quality (xG per shot) | 0.10 | 0.12 |
| Finishing (goals per shot on target) | 0.27 | 0.27 |
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.
Blooming is 133% better for: last-5 form.
1 pts / match - ABB · 2.33 pts / match - Blooming
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.
Blooming is 126% better for: goals scored per match.
1.33 goals / match - ABB · 3 goals / match - Blooming
Blooming is 167% better for: goals conceded per match.
2.67 goals / match - ABB · 1 goals / match - Blooming
ABB scores in 67% of matches (2 of 3 matches), while Blooming keeps a clean sheet in 33% (1 of 3 matches).
Blooming scores in 100% of matches (3 of 3 matches), while ABB keeps a clean sheet in 0% (0 of 3 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 - ABB
Over / Under - Blooming
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.
Blooming is 133% better for: first-half form (half-time points).
1 pts / match - ABB · 2.33 pts / match - Blooming
Before half-time (1st half)
After half-time (2nd half)
ABB - second-half results
Leads at half-time in 33% of matches and wins 33%. Also wins matches without a half-time lead.
Defence stays stable across the full match.
Blooming - second-half results
Leads at half-time in 67% of matches and wins 67%. 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.
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 1.00 | 0.67 |
| Goals scored / match | 0.3 | 1.0 |
| Goals conceded / match | 1.3 | 1.3 |
| Average goals in match | 1.7 | 2.3 |
| 1 goal | 100% | 100% |
| 2 goals | 33% | 67% |
| 3 goals | 33% | 33% |
| Clean sheet | 33% | 0% |
| No goal | 67% | 33% |
| Goal difference | -3 | -1 |
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 2.33 | 1.33 |
| Goals scored / match | 2.0 | 1.0 |
| Goals conceded / match | 0.3 | 0.7 |
| Average goals in match | 2.3 | 1.7 |
| 1 goal | 100% | 100% |
| 2 goals | 100% | 67% |
| 3 goals | 33% | 0% |
| Clean sheet | 67% | 33% |
| No goal | 0% | 33% |
| Goal difference | +5 | +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 31-45 (1 goal). Concedes most in 61-75 (3). Late-goal balance (76-90): 0.
Most dangerous in minutes 0-15 (3 goals). Concedes most in 31-45 (1). 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
ABB
Blooming
* 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 (LFPB).
Teams vs league
| ABB | Liga | Blooming | |
|---|---|---|---|
| Average goals in match | ▲ 4.00 | 2.96 | ▲ 4.00 |
| Both teams scored | ▲ 67% | 62% | ▲ 67% |
| Min. 3 goals (Over 2.5) | ▲ 67% | 62% | ▲ 100% |
| Clean sheets | ▼ 0% | 23% | ▲ 33% |
| Goal before half-time | ▲ 100% | 73% | ▲ 100% |
| Goal after half-time | ▲ 100% | 88% | ▲ 100% |
^ 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
Starting lineup
Substitutes
Away team
Starting lineup
Substitutes
Match timeline
Goals, cards and substitutions arranged in chronological order.
Referee and managers
Open their season profiles to compare match records, goals and disciplinary trends.
Head-to-head
Recent meetings (2): ABB 0 - 1 - 1 Blooming. Average goals 4.00, both teams scored in 50% matches.
FAQ
What was the result of ABB vs Blooming?
The LFPB match finished ABB 3:2 Blooming. Full match statistics, the half-by-half breakdown and head-to-head are on this page.
What is the head-to-head record between ABB and Blooming?
In the last 2 head-to-head matches ABB won 0, Blooming won 1 and 1 ended level. These games averaged 4.00 goals, with both teams scoring in 50% of them.
What do the goal statistics show before ABB vs Blooming?
ABB score 1.33 goals per game on average and Blooming 3.00. The LFPB average is 2.96 goals, with Over 2.5 landing in 62% of games. Both teams score in 67% of ABB's matches and 67% of Blooming's.
What form are ABB and Blooming in?
Over the last 5 games ABB have a 1-0-2 record (1.00 points per game) and Blooming 2-1-0 (2.33 points per game).
Where can I find a betting tip and analysis for ABB vs Blooming?
The statistical background for ABB vs Blooming — 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.