Country
Teams
Season
Matches
Zimbabwe
18
2025
276/279
| # | Team | MP | Scoring First |
|---|---|---|---|
| 1 |
Scotland Mabvuku |
17 | 57% |
| 2 |
TelOne |
16 | 52% |
| 3 |
Ngezi Platinum |
16 | 52% |
| 4 |
Simba Bhora |
15 | 50% |
| 5 |
MWOS |
15 | 48% |
| 6 |
CAPS United |
13 | 42% |
| 7 |
Highlanders |
13 | 42% |
| 8 |
Platinum |
12 | 40% |
| 9 |
Herentals |
12 | 39% |
| 10 |
Kariba |
12 | 39% |
| 11 |
Triangle United |
11 | 37% |
| 12 |
Yadah |
11 | 35% |
| 13 |
Bikita Minerals |
11 | 35% |
| 14 |
Dynamos |
10 | 32% |
| 15 |
Chicken Inn |
9 | 30% |
| 16 |
Manica Diamonds FC |
8 | 27% |
| # | Team | MP | Scoring First |
|---|---|---|---|
| 1 |
Scotland Mabvuku |
11 | 73% |
| 2 |
Ngezi Platinum |
10 | 63% |
| 3 |
MWOS |
9 | 60% |
| 4 |
TelOne |
8 | 53% |
| 5 |
Highlanders |
8 | 50% |
| 6 |
Simba Bhora |
7 | 47% |
| 7 |
Herentals |
7 | 47% |
| 8 |
Triangle United |
7 | 47% |
| 9 |
Kariba |
7 | 47% |
| 10 |
Bikita Minerals |
7 | 44% |
| 11 |
Platinum |
7 | 44% |
| 12 |
Yadah |
7 | 44% |
| 13 |
Manica Diamonds FC |
6 | 43% |
| 14 |
CAPS United |
6 | 38% |
| 15 |
Green Fuel |
6 | 38% |
| 16 |
Chicken Inn |
5 | 33% |
| 17 |
Dynamos |
5 | 33% |
| 18 |
Kwekwe United |
4 | 27% |
| # | Team | MP | Scoring First |
|---|---|---|---|
| 1 |
Simba Bhora |
8 | 53% |
| 2 |
TelOne |
8 | 50% |
| 3 |
CAPS United |
7 | 47% |
| 4 |
Scotland Mabvuku |
6 | 40% |
| 5 |
Ngezi Platinum |
6 | 40% |
| 6 |
MWOS |
6 | 38% |
| 7 |
Platinum |
5 | 36% |
| 8 |
Highlanders |
5 | 33% |
| 9 |
Dynamos |
5 | 31% |
| 10 |
Herentals |
5 | 31% |
| 11 |
Kariba |
5 | 31% |
| 12 |
Chicken Inn |
4 | 27% |
| 13 |
Bikita Minerals |
4 | 27% |
| # | Team | MP | Conceding First |
|---|---|---|---|
| 1 |
Kwekwe United |
26 | 83% |
| 2 |
Green Fuel |
24 | 77% |
| 3 |
Manica Diamonds FC |
22 | 73% |
| 4 |
Chicken Inn |
21 | 70% |
| 5 |
Dynamos |
21 | 67% |
| 6 |
Yadah |
20 | 64% |
| 7 |
Bikita Minerals |
20 | 64% |
| 8 |
Triangle United |
19 | 63% |
| 9 |
Herentals |
19 | 61% |
| 10 |
Kariba |
19 | 61% |
| 11 |
Platinum |
18 | 60% |
| 12 |
CAPS United |
18 | 58% |
| 13 |
Highlanders |
18 | 58% |
| 14 |
MWOS |
16 | 51% |
| 15 |
Simba Bhora |
15 | 50% |
| 16 |
TelOne |
15 | 48% |
| 17 |
Ngezi Platinum |
15 | 48% |
| 18 |
Scotland Mabvuku |
13 | 43% |
| # | Team | MP | Conceding First |
|---|---|---|---|
| 1 |
Kwekwe United |
11 | 73% |
| 2 |
Chicken Inn |
10 | 66% |
| 3 |
Dynamos |
10 | 66% |
| 4 |
CAPS United |
10 | 62% |
| 5 |
Green Fuel |
10 | 62% |
| 6 |
Manica Diamonds FC |
8 | 57% |
| 7 |
Bikita Minerals |
9 | 56% |
| 8 |
Yadah |
9 | 56% |
| 9 |
Platinum |
9 | 56% |
| 10 |
Kariba |
8 | 53% |
| 11 |
Triangle United |
8 | 53% |
| 12 |
Herentals |
8 | 53% |
| 13 |
Simba Bhora |
8 | 53% |
| 14 |
Highlanders |
8 | 50% |
| 15 |
TelOne |
7 | 46% |
| 16 |
MWOS |
6 | 40% |
| 17 |
Ngezi Platinum |
6 | 37% |
| # | Team | MP | Conceding First |
|---|---|---|---|
| 1 |
Green Fuel |
14 | 93% |
| 2 |
Kwekwe United |
15 | 93% |
| 3 |
Manica Diamonds FC |
14 | 87% |
| 4 |
Chicken Inn |
11 | 73% |
| 5 |
Bikita Minerals |
11 | 73% |
| 6 |
Yadah |
11 | 73% |
| 7 |
Triangle United |
11 | 73% |
| 8 |
Dynamos |
11 | 68% |
| 9 |
Herentals |
11 | 68% |
| 10 |
Kariba |
11 | 68% |
| 11 |
Highlanders |
10 | 66% |
| 12 |
Platinum |
9 | 64% |
| 13 |
MWOS |
10 | 62% |
| 14 |
Ngezi Platinum |
9 | 60% |
| 15 |
Scotland Mabvuku |
9 | 60% |
| 16 |
CAPS United |
8 | 53% |
| 17 |
TelOne |
8 | 50% |
| 18 |
Simba Bhora |
7 | 46% |
Find information on how many times a team scores or concedes the first goal in PSL Zimbabwe 2025 in a flash as you have everything you need right here.
While this stat may not seem like the most important, it is nevertheless valuable data in terms of finding daily trends and patterns of a particular team in Zimbabwe Premier League.
If a team usually scores first, it is a sign that it starts the match looking to attack. And if a club consistently concedes the first goal, it may mean that this team has a defence that struggles to contain the opposition long enough.
Let’s take a look at the teams who are on top of the table in scoring and conceding the first goal in PSL Zimbabwe:
And as always, you can find more data points for team scoring and conceding the first goal in the form of the home and away match filter.
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