Kedus Giorgis vs Mebrat Hayl: match statistics
Kedus Giorgis vs Mebrat Hayl: form, goals and key statistics
Key match information
Kedus Giorgis played Mebrat Hayl in Ethiopia Premier League (Ethiopia). The match was played on 8 April 2026. Final score: 2:1.
Current form
Kedus Giorgis: 1-1-3, 0.80 points/match. Mebrat Hayl: 3-1-1, 2.00 points/match.
Goal statistics
Kedus Giorgis scores 0.75 and concedes 0.88 goals per match. Mebrat Hayl scores 0.76 and concedes 0.52. League average: 1.78 goals.
BTTS / Over / Under
BTTS: Kedus Giorgis 29%, Mebrat Hayl 24%. Over 2.5: Kedus Giorgis 17%, Mebrat Hayl 20%. League level: BTTS 41%, Over 2.5 27%.
xG, shots and style
Kedus Giorgis has higher xG: 1.36 vs 1.15. Kedus Giorgis: 9.5 shots per match, Mebrat Hayl: 7.2.
Match halves
Kedus Giorgis: half-time lead 29%, second-half goals 0.29. Mebrat Hayl: half-time lead 16%, second-half goals 0.48.
Goals by minute
Kedus Giorgis: 31-45+ (6 goals). Mebrat Hayl: 46-60 (8 goals). This is historical distribution, not a predicted goal minute.
League context
Ethiopia Premier League: 1.78 goals per match, BTTS 41%, Over 2.5 27%.
Head-to-head
Before this fixture, 1 previous H2H matches were available: 0-0-1. Average goals 1.00, BTTS 0%.
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
Mebrat Hayl sit 4th in the table while Kedus Giorgis are 17th. In the last 5 matches the visitors have scored 8 goals and averaged 2.0 points per game, whereas the hosts have managed only 2 goals and 0.8 points per game. Defensively Kedus concede on average 0.64 goals per home match and keep 45% clean sheets, but in their last five fixtures the hosts have conceded as many as 7 goals, while Mebrat have conceded only 3. Kedus nevertheless create slightly better chances at home: average xG 1.33 per match, 8.82 shots and 2.55 shots on target, versus Mebrat’s xG 1.18, 7.33 shots and 2.08 shots on target, with comparable conversion rates of 9% versus 10%. The visitors show better form and efficiency recently (3 wins and 1 draw in the last 5) and a higher league position, which together with the recent goal balance (8 vs 2) gives them a clear advantage. Taking into account the form advantage, goals scored in the last 5 matches and league position, I forecast an away win, although the hosts’ higher xG and superior defensive organisation at home reduce the likelihood of a loss to a possible draw or narrow defeat.
View the statistical overviewBTTS - will both teams score?
Seasonal BTTS rates are 23% for Kedus Giorgis and 25% for Mebrat Hayl, averaging 24% — well below the league average of 41%, which initially favors a 'No Goal' scenario. Additionally, the home side have a clean sheet in 69% of matches and the visitors in 50%; seasonal goals per game are only 0.77 (home) and 0.75 (away), indicating limited attacking propensity from both teams. Shot counts of 7.25 and 7.33 with shots on target 2.33 and 2.08 and conversion rates of 11% and 10% confirm low finishing efficiency. Recent-form asymmetry over the last 5 matches is clear: the visitors scored 8 goals (1.6 avg) and conceded 3 (0.6), while the hosts scored 2 (0.4) and conceded 7 (1.4), so any goal is more likely to come from Mebrat Hayl. Although xG are 1.11 (Kedus) and 1.18 (Mebrat), actual goal averages are lower (0.77 and 0.75), therefore I rate BTTS - No at 70% and BTTS - Yes at 30%.
View BTTS statisticsOver/Under - goals analysis
Both teams are low-scoring: the hosts average 0.77 goals per match, the guests 0.75, while the league average is only 1.77 goals per match. xG stands at 1.11 for Kedus Giorgis and 1.18 for Mebrat Hayl, but with shot conversion rates of 11% (hosts) and 10% (guests) and a high clean sheet rate for the hosts at 69% (guests 50%), actual finishing should be lower than xG alone suggests. In the last 5 matches the hosts have scored only 2 goals (0.4 avg), while the guests have scored 8 goals (1.6 avg), so I expect most goals to come from the visitors, but the match total will remain low — I project about 0.70 goals for the hosts and 0.90 for the guests (total ~1.60). Season over 2.5 rates are 23% for the hosts and 17% for the guests (league 27%), and the percentage of matches with both teams scoring is only 23%/25%, which further reduces the likelihood of three or more goals (I estimate Over 2.5 at ~22%). Based on this, the strongest signal is Under 2.5 — the low expected total (~1.60 goals), the hosts’ high clean sheet rate of 69% and low conversion justify the Under side as the recommended bet.
View Over/Under statisticsHT/FT - half-time and full-time scenario
Seasonal statistics strongly indicate a draw at half-time: hosts were level at the break in 77% of matches, visitors in 67%, giving on average about a 72% chance of a draw after 45 minutes; additionally hosts score an average of 0.15 goals by half-time and visitors 0.42, so the first act is often low-scoring. In the second half hosts have a clear advantage – they score 0.62 on average and concede 0.23, while visitors score 0.33 and concede 0.50, which suggests that from an even score hosts are more likely to improve the result. Moreover hosts collect on average 1.85 points per match over the season versus 1.17 for visitors and have won 46% of matches against 25% for the visitors, which increases the probability that they will win the match if the score is level at half-time. Despite the visitors’ shorter good run in the last 5 fixtures (visitors have 60% wins and 60% leads at half-time), their weaker second-half figures (0.33 scored and 0.50 conceded) and lower seasonal points averages support a turnaround by the hosts. Therefore the most likely scenario is a draw at half-time and a home win (X/1) — I estimate it at 40% probability, with 23% for draw/draw (X/X) and 9% for draw and an away win (X/2); the remaining combinations are less likely.
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
| Kedus Giorgis | Mebrat Hayl | |
|---|---|---|
| Accuracy (shots on target) | 34% | 29% |
| Chance quality (xG per shot) | 0.14 | 0.16 |
| Finishing (goals per shot on target) | 0.23 | 0.37 |
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.
Mebrat Hayl is 150% better for: last-5 form.
0.8 pts / match - Kedus Giorgis · 2 pts / match - Mebrat Hayl
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.
Mebrat Hayl is 69% better for: goals conceded per match.
0.88 goals / match - Kedus Giorgis · 0.52 goals / match - Mebrat Hayl
Kedus Giorgis scores in 50% of matches (12 of 24 matches), while Mebrat Hayl keeps a clean sheet in 60% (15 of 25 matches).
Mebrat Hayl scores in 44% of matches (11 of 25 matches), while Kedus Giorgis keeps a clean sheet in 29% (7 of 24 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 - Kedus Giorgis
Over / Under - Mebrat Hayl
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.
Kedus Giorgis is 11% better for: first-half form (half-time points).
1.33 pts / match - Kedus Giorgis · 1.2 pts / match - Mebrat Hayl
Before half-time (1st half)
After half-time (2nd half)
Kedus Giorgis - second-half results
Leads at half-time in 29% of matches and wins 29%. Also wins matches without a half-time lead.
Concedes 0.1 more goals per match after half-time - defensive level drops in the second half.
Mebrat Hayl - second-half results
Leads at half-time in 16% of matches and wins 36%. Also wins matches without a half-time lead.
Concedes 0.2 more goals per match after half-time - defensive level drops in the second half.
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 1.20 | 0.40 |
| Goals scored / match | 0.2 | 0.2 |
| Goals conceded / match | 0.2 | 1.2 |
| Average goals in match | 0.4 | 1.4 |
| 1 goal | 40% | 80% |
| 2 goals | 0% | 60% |
| 3 goals | 0% | 0% |
| Clean sheet | 80% | 20% |
| No goal | 80% | 80% |
| Goal difference | 0 | -5 |
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 2.20 | 0.80 |
| Goals scored / match | 1.2 | 0.4 |
| Goals conceded / match | 0.0 | 0.6 |
| Average goals in match | 1.2 | 1.0 |
| 1 goal | 60% | 60% |
| 2 goals | 40% | 40% |
| 3 goals | 20% | 0% |
| Clean sheet | 100% | 40% |
| No goal | 40% | 60% |
| Goal difference | +6 | -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 (6 goals). Concedes most in 46-60 (6). Late-goal balance (76-90): +1 - wins late phases.
Most dangerous in minutes 46-60 (8 goals). Concedes most in 76-90 (4). 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
Kedus Giorgis
Mebrat Hayl
* 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 (Ethiopia Premier League).
Teams vs league
| Kedus Giorgis | Liga | Mebrat Hayl | |
|---|---|---|---|
| Average goals in match | ▼ 1.63 | 1.78 | ▼ 1.28 |
| Both teams scored | ▼ 29% | 41% | ▼ 24% |
| Min. 3 goals (Over 2.5) | ▼ 17% | 27% | ▼ 20% |
| Clean sheets | ▼ 29% | 40% | ▲ 60% |
| Goal before half-time | ▲ 58% | 54% | ▼ 28% |
| Goal after half-time | ▲ 63% | 58% | ▼ 56% |
^ green = above league average, ˇ red = below league average. This shows direction of the gap, not a team rating.
Head-to-head
Previous meeting: Kedus Giorgis 0 - 0 - 1 Mebrat Hayl. Average goals 1.00, both teams scored in 0% matches.
FAQ
What was the result of Kedus Giorgis vs Mebrat Hayl?
The Ethiopia Premier League match finished Kedus Giorgis 2:1 Mebrat Hayl. Full match statistics, the half-by-half breakdown and head-to-head are on this page.
What do the goal statistics show before Kedus Giorgis vs Mebrat Hayl?
Kedus Giorgis score 0.75 goals per game on average and Mebrat Hayl 0.76. The Ethiopia Premier League average is 1.78 goals, with Over 2.5 landing in 27% of games. Both teams score in 29% of Kedus Giorgis's matches and 24% of Mebrat Hayl's.
What form are Kedus Giorgis and Mebrat Hayl in?
Over the last 5 games Kedus Giorgis have a 1-1-3 record (0.80 points per game) and Mebrat Hayl 3-1-1 (2.00 points per game).
Where can I find a betting tip and analysis for Kedus Giorgis vs Mebrat Hayl?
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.


