Marumo Gallants vs Siwelele: match statistics
Marumo Gallants vs Siwelele: form, goals and key statistics
Key match information
Marumo Gallants played Siwelele in Premier Soccer League (South Africa). The match was played on 18 April 2026. Final score: 0:0.
Current form
Marumo Gallants: 1-1-3, 0.80 points/match. Siwelele: 1-3-1, 1.20 points/match.
Goal statistics
Marumo Gallants scores 0.71 and concedes 1.42 goals per match. Siwelele scores 0.57 and concedes 0.74. League average: 2.03 goals.
BTTS / Over / Under
BTTS: Marumo Gallants 50%, Siwelele 22%. Over 2.5: Marumo Gallants 38%, Siwelele 4%. League level: BTTS 39%, Over 2.5 32%.
xG, shots and style
xG is very similar for both teams. Marumo Gallants: 10.5 shots per match, Siwelele: 9.7.
Match halves
Marumo Gallants: half-time lead 4%, second-half goals 0.50. Siwelele: half-time lead 30%, second-half goals 0.17.
Goals by minute
Marumo Gallants: 61-75 (5 goals). Siwelele: 16-30 (5 goals). This is historical distribution, not a predicted goal minute.
League context
Premier Soccer League: 2.03 goals per match, BTTS 39%, Over 2.5 32%.
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
Marumo Gallants have a clear advantage in home goal production: averaging 0.82 goals at home versus just 0.36 goals that Siwelele score away, and the visitors fail to score in 73% of their away matches. Both teams produce similar expected goals (xG 1.36 for the home side vs 1.29 for the visitors), but the hosts finish chances more efficiently (conversion 7% vs 4%), which translates into real differences in goals. Defensively the units are similar — Marumo concede on average 1.00 goal at home, and Siwelele 1.09 away — so chance finishing will be decisive. Siwelele have a better points average in the last 5 matches (1.2 vs 0.8 for the hosts), but the high share of away matches without a goal (73%) limits their offensive potential. Considering the higher efficiency of the hosts and the large percentage of away matches without goals for the visitors, I predict a home win with a significant probability of a draw.
View the statistical overviewBTTS - will both teams score?
Seasonal BTTS indicators are very low: Marumo has BTTS at 25% and Siwelele 18%, averaging around 22%, well below the league average of 38%. Marumo keeps a clean sheet in 58% of matches this season, while Siwelele scores only 0.36 goals per game on average (Marumo 0.75), so often at least one side fails to score. Both teams create chances (xG 1.24 vs 1.29 and 9.25 vs 10.09 shots), but Siwelele has a low conversion rate of 4% versus Marumo’s 8%, indicating their higher xG does not translate into goals. In the last 5 matches Marumo had 60% BTTS and conceded on average 1.8 goals, whereas Siwelele scored 0.6 and conceded 0.6 in their last 5, giving mixed signals but not overturning the seasonal trends. Considering the dominant seasonal figures — BTTS 25% and 18%, 58% home clean sheets and Siwelele’s poor finishing — the 'No' selection is stronger; I suggest a split of 78% for 'No' and 22% for 'Yes'.
View BTTS statisticsOver/Under - goals analysis
xG analysis indicates higher attacking potential: home xG 1.24 vs. xG conceded by visitors 1.42 models to ~1.33 goals for Marumo Gallants, while away xG 1.29 vs. xG conceded by hosts 1.18 models to ~1.24 for Siwelele — total xG ≈ 2.57. However, actual seasonal figures are lower: hosts score 0.75 on average, visitors 0.36; averaging the xG signal with seasonal averages yields estimates ~1.12 (home) and 0.82 (away), totaling ≈ 1.94 goals. Strong evidence for a low-scoring match comes from seasonal under 2.5 rates: 92% for hosts and 100% for guests, and low BTTS: 25% and 18%, which reduce the probability of many goals. Therefore I assign a moderate chance to Over 1.5 (70% — the 1.94 estimate exceeds 1.5 and Siwelele have 64% of matches >1.5), but the strongest signal is Under 2.5 (88%), so I recommend betting Under 2.5. Over 3.5 is unlikely (Over 3.5 only 4%), since seasonally only 8% of hosts’ matches exceed 3.5 and 0% of guests’ matches do.
View Over/Under statisticsHT/FT - half-time and full-time scenario
Hosts Marumo Gallants lead at the break in 42% of matches this season, averaging 0.50 goals by half-time while conceding only 0.08, whereas Siwelele score 0.27 by half-time and concede 0.55. Marumo generate 1.24 xG per match and convert shots at an 8% rate versus 4% for the visitors, while the visitors concede an average of 1.42 xG, indicating a home advantage in attacking efficiency. Seasonally the hosts average 1.67 points per home match with a 42% win rate, while the visitors average 0.64 points and only a 9% win rate, so the greater probability of a full-time win lies with the home side. Given that the hosts lead at the break in 42% of cases and score 0.5 goals before half-time, I estimate that such a lead will hold until full-time in approximately 74% of those situations (about a 31 percentage-point retention from the 42). Therefore the most likely HT/FT outcome is 1/1 and I assign it the highest single probability of 31%.
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
| Marumo Gallants | Siwelele | |
|---|---|---|
| Accuracy (shots on target) | 30% | 32% |
| Chance quality (xG per shot) | 0.12 | 0.13 |
| Finishing (goals per shot on target) | 0.22 | 0.18 |
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.
Siwelele is 50% better for: last-5 form.
0.8 pts / match - Marumo Gallants · 1.2 pts / match - Siwelele
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.
Marumo Gallants is 25% better for: goals scored per match.
0.71 goals / match - Marumo Gallants · 0.57 goals / match - Siwelele
Siwelele is 92% better for: goals conceded per match.
1.42 goals / match - Marumo Gallants · 0.74 goals / match - Siwelele
Marumo Gallants scores in 50% of matches (12 of 24 matches), while Siwelele keeps a clean sheet in 43% (10 of 23 matches).
Siwelele scores in 43% of matches (10 of 23 matches), while Marumo Gallants keeps a clean sheet in 4% (1 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 - Marumo Gallants
Over / Under - Siwelele
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.
Siwelele is 96% better for: first-half form (half-time points).
0.71 pts / match - Marumo Gallants · 1.39 pts / match - Siwelele
Before half-time (1st half)
After half-time (2nd half)
Marumo Gallants - second-half results
Leads at half-time in 4% of matches and wins 17%. 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.
Siwelele - second-half results
Leads at half-time in 30% of matches and wins 26%. Usually protects the lead until full-time.
Concedes 0.1 more goals per match after half-time - defensive level drops in the second half.
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 0.40 | 1.00 |
| Goals scored / match | 0.2 | 0.8 |
| Goals conceded / match | 0.8 | 1.0 |
| Average goals in match | 1.0 | 1.8 |
| 1 goal | 80% | 80% |
| 2 goals | 20% | 80% |
| 3 goals | 0% | 20% |
| Clean sheet | 20% | 40% |
| No goal | 80% | 60% |
| Goal difference | -3 | -1 |
| 1st half | 2nd half | |
|---|---|---|
| Points per match | 2.20 | 0.40 |
| Goals scored / match | 0.6 | 0.0 |
| Goals conceded / match | 0.0 | 0.6 |
| Average goals in match | 0.6 | 0.6 |
| 1 goal | 60% | 60% |
| 2 goals | 0% | 0% |
| 3 goals | 0% | 0% |
| Clean sheet | 100% | 40% |
| No goal | 40% | 100% |
| Goal difference | +3 | -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 61-75 (5 goals). Concedes most in 61-75 (8). Late-goal balance (76-90): -3 - late phases are a weakness.
Most dangerous in minutes 16-30 (5 goals). Concedes most in 31-45 (5). 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
Marumo Gallants
Siwelele
* 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 (Premier Soccer League).
Teams vs league
| Marumo Gallants | Liga | Siwelele | |
|---|---|---|---|
| Average goals in match | ▲ 2.13 | 2.03 | ▼ 1.30 |
| Both teams scored | ▲ 50% | 39% | ▼ 22% |
| Min. 3 goals (Over 2.5) | ▲ 38% | 32% | ▼ 4% |
| Clean sheets | ▼ 4% | 36% | ▲ 43% |
| Goal before half-time | ▼ 58% | 62% | ▼ 57% |
| Goal after half-time | ▲ 79% | 72% | ▼ 57% |
^ 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
Away team
Starting lineup
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.
Referee context
See how often this referee shows cards, awards penalties and how their matches tend to finish.
Head-to-head
Previous meeting: Marumo Gallants 0 - 0 - 1 Siwelele. Average goals 1.00, both teams scored in 0% matches.
FAQ
What was the result of Marumo Gallants vs Siwelele?
The Premier Soccer League match finished Marumo Gallants 0:0 Siwelele. Full match statistics, the half-by-half breakdown and head-to-head are on this page.
What do the goal statistics show before Marumo Gallants vs Siwelele?
Marumo Gallants score 0.71 goals per game on average and Siwelele 0.57. The Premier Soccer League average is 2.03 goals, with Over 2.5 landing in 32% of games. Both teams score in 50% of Marumo Gallants's matches and 22% of Siwelele's.
What form are Marumo Gallants and Siwelele in?
Over the last 5 games Marumo Gallants have a 1-1-3 record (0.80 points per game) and Siwelele 1-3-1 (1.20 points per game).
Where can I find a betting tip and analysis for Marumo Gallants vs Siwelele?
Here you can check the pre-match numbers for Marumo Gallants vs Siwelele: form, H2H, goals and Over/Under. The pick itself, value and reasoning are published in the NoFluffPicks app.