Mamelodi Sundowns 3 - 0 Chippa United
02.02.2016 - 12:30
Stadium: Loftus Versfeld Stadium
Finished
Over Under Goals
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Golden Arrows |
30 | 11 | 37% | 27% | 47% |
| 2 |
Polokwane City |
30 | 15 | 50% | 53% | 47% |
| 3 |
Chippa United |
30 | 15 | 50% | 60% | 40% |
| 4 |
Maritzburg United |
30 | 15 | 50% | 47% | 53% |
| 5 |
Cape Town City |
30 | 12 | 40% | 47% | 33% |
| 6 |
Orlando Pirates |
30 | 11 | 37% | 33% | 40% |
| 7 |
Bidvest Wits |
30 | 13 | 43% | 40% | 47% |
| 8 |
Platinum Stars |
30 | 12 | 40% | 47% | 33% |
| 9 |
SuperSport United |
30 | 12 | 40% | 40% | 40% |
| 10 |
Mamelodi Sundowns |
30 | 15 | 50% | 60% | 40% |
| 11 |
Bloemfontein Celtic |
30 | 8 | 27% | 20% | 33% |
| 12 |
Ajax Cape Town |
30 | 16 | 53% | 47% | 60% |
| 13 |
Free State Stars |
30 | 11 | 37% | 27% | 47% |
| 14 |
Kaizer Chiefs |
30 | 12 | 40% | 47% | 33% |
| 15 |
Jomo Cosmos |
30 | 11 | 37% | 33% | 40% |
| 16 |
University of Pretoria |
30 | 11 | 37% | 40% | 33% |
| # | Team | MP | Over 0.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Golden Arrows |
30 | 25 | 83% | 93% | 73% |
| 2 |
Polokwane City |
30 | 26 | 87% | 87% | 87% |
| 3 |
Chippa United |
30 | 28 | 93% | 87% | 100% |
| 4 |
Maritzburg United |
30 | 28 | 93% | 93% | 93% |
| 5 |
Cape Town City |
30 | 26 | 87% | 93% | 80% |
| 6 |
Orlando Pirates |
30 | 27 | 90% | 87% | 93% |
| 7 |
Bidvest Wits |
30 | 27 | 90% | 87% | 93% |
| 8 |
Platinum Stars |
30 | 29 | 97% | 93% | 100% |
| 9 |
SuperSport United |
30 | 27 | 90% | 87% | 93% |
| 10 |
Mamelodi Sundowns |
30 | 25 | 83% | 87% | 80% |
| 11 |
Bloemfontein Celtic |
30 | 24 | 80% | 93% | 67% |
| 12 |
Ajax Cape Town |
30 | 27 | 90% | 87% | 93% |
| 13 |
Free State Stars |
30 | 27 | 90% | 87% | 93% |
| 14 |
Kaizer Chiefs |
30 | 25 | 83% | 80% | 87% |
| 15 |
Jomo Cosmos |
30 | 24 | 80% | 73% | 87% |
| 16 |
University of Pretoria |
30 | 29 | 97% | 100% | 93% |
| # | Team | MP | Over 1.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Golden Arrows |
30 | 18 | 60% | 53% | 67% |
| 2 |
Polokwane City |
30 | 20 | 67% | 67% | 67% |
| 3 |
Chippa United |
30 | 24 | 80% | 80% | 80% |
| 4 |
Maritzburg United |
30 | 24 | 80% | 87% | 73% |
| 5 |
Cape Town City |
30 | 17 | 57% | 60% | 53% |
| 6 |
Orlando Pirates |
30 | 18 | 60% | 67% | 53% |
| 7 |
Bidvest Wits |
30 | 17 | 57% | 60% | 53% |
| 8 |
Platinum Stars |
30 | 24 | 80% | 80% | 80% |
| 9 |
SuperSport United |
30 | 23 | 77% | 73% | 80% |
| 10 |
Mamelodi Sundowns |
30 | 20 | 67% | 80% | 53% |
| 11 |
Bloemfontein Celtic |
30 | 16 | 53% | 53% | 53% |
| 12 |
Ajax Cape Town |
30 | 20 | 67% | 67% | 67% |
| 13 |
Free State Stars |
30 | 16 | 53% | 47% | 60% |
| 14 |
Kaizer Chiefs |
30 | 21 | 70% | 67% | 73% |
| 15 |
Jomo Cosmos |
30 | 13 | 43% | 40% | 47% |
| 16 |
University of Pretoria |
30 | 21 | 70% | 60% | 80% |
| # | Team | MP | Over 1.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Golden Arrows |
30 | 5 | 17% | 7% | 27% |
| 2 |
Polokwane City |
30 | 9 | 30% | 40% | 20% |
| 3 |
Chippa United |
30 | 8 | 27% | 33% | 20% |
| 4 |
Maritzburg United |
30 | 12 | 40% | 33% | 47% |
| 5 |
Cape Town City |
30 | 8 | 27% | 47% | 7% |
| 6 |
Orlando Pirates |
30 | 7 | 23% | 20% | 27% |
| 7 |
Bidvest Wits |
30 | 7 | 23% | 20% | 27% |
| 8 |
Platinum Stars |
30 | 6 | 20% | 20% | 20% |
| 9 |
SuperSport United |
30 | 8 | 27% | 33% | 20% |
| 10 |
Mamelodi Sundowns |
30 | 8 | 27% | 33% | 20% |
| 11 |
Bloemfontein Celtic |
30 | 5 | 17% | 7% | 27% |
| 12 |
Ajax Cape Town |
30 | 9 | 30% | 27% | 33% |
| 13 |
Free State Stars |
30 | 7 | 23% | 20% | 27% |
| 14 |
Kaizer Chiefs |
30 | 8 | 27% | 27% | 27% |
| 15 |
Jomo Cosmos |
30 | 7 | 23% | 20% | 27% |
| 16 |
University of Pretoria |
30 | 4 | 13% | 7% | 20% |
| # | Team | MP | Over 1.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Golden Arrows |
30 | 3 | 10% | 7% | 13% |
| 2 |
Polokwane City |
30 | 5 | 17% | 20% | 13% |
| 3 |
Chippa United |
30 | 4 | 13% | 7% | 20% |
| 4 |
Maritzburg United |
30 | 7 | 23% | 33% | 13% |
| 5 |
Cape Town City |
30 | 2 | 7% | 13% | 0% |
| 6 |
Orlando Pirates |
30 | 4 | 13% | 13% | 13% |
| 7 |
Bidvest Wits |
30 | 3 | 10% | 13% | 7% |
| 8 |
Platinum Stars |
30 | 3 | 10% | 13% | 7% |
| 9 |
SuperSport United |
30 | 3 | 10% | 7% | 13% |
| 10 |
Mamelodi Sundowns |
30 | 4 | 13% | 13% | 13% |
| 11 |
Bloemfontein Celtic |
30 | 3 | 10% | 7% | 13% |
| 12 |
Ajax Cape Town |
30 | 3 | 10% | 0% | 20% |
| 13 |
Free State Stars |
30 | 2 | 7% | 7% | 7% |
| 14 |
Kaizer Chiefs |
30 | 2 | 7% | 7% | 7% |
| 15 |
Jomo Cosmos |
30 | 3 | 10% | 13% | 7% |
| 16 |
University of Pretoria |
30 | 1 | 3% | 0% | 7% |
| # | Team | MP | Over 1.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Golden Arrows |
30 | 1 | 3% | 0% | 7% |
| 2 |
Polokwane City |
30 | 0 | 0% | 0% | 0% |
| 3 |
Chippa United |
30 | 1 | 3% | 0% | 7% |
| 4 |
Maritzburg United |
30 | 2 | 7% | 13% | 0% |
| 5 |
Cape Town City |
30 | 1 | 3% | 7% | 0% |
| 6 |
Orlando Pirates |
30 | 1 | 3% | 0% | 7% |
| 7 |
Bidvest Wits |
30 | 1 | 3% | 0% | 7% |
| 8 |
Platinum Stars |
30 | 0 | 0% | 0% | 0% |
| 9 |
SuperSport United |
30 | 1 | 3% | 0% | 7% |
| 10 |
Mamelodi Sundowns |
30 | 2 | 7% | 7% | 7% |
| 11 |
Bloemfontein Celtic |
30 | 0 | 0% | 0% | 0% |
| 12 |
Ajax Cape Town |
30 | 0 | 0% | 0% | 0% |
| 13 |
Free State Stars |
30 | 1 | 3% | 7% | 0% |
| 14 |
Kaizer Chiefs |
30 | 0 | 0% | 0% | 0% |
| 15 |
Jomo Cosmos |
30 | 2 | 7% | 13% | 0% |
| 16 |
University of Pretoria |
30 | 1 | 3% | 0% | 7% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Golden Arrows |
30 | 19 | 63% | 73% | 53% |
| 2 |
Polokwane City |
30 | 15 | 50% | 47% | 53% |
| 3 |
Chippa United |
30 | 15 | 50% | 40% | 60% |
| 4 |
Maritzburg United |
30 | 15 | 50% | 53% | 47% |
| 5 |
Cape Town City |
30 | 18 | 60% | 53% | 67% |
| 6 |
Orlando Pirates |
30 | 19 | 63% | 67% | 60% |
| 7 |
Bidvest Wits |
30 | 17 | 57% | 60% | 53% |
| 8 |
Platinum Stars |
30 | 18 | 60% | 53% | 67% |
| 9 |
SuperSport United |
30 | 18 | 60% | 60% | 60% |
| 10 |
Mamelodi Sundowns |
30 | 15 | 50% | 40% | 60% |
| 11 |
Bloemfontein Celtic |
30 | 22 | 73% | 80% | 67% |
| 12 |
Ajax Cape Town |
30 | 14 | 47% | 53% | 40% |
| 13 |
Free State Stars |
30 | 19 | 63% | 73% | 53% |
| 14 |
Kaizer Chiefs |
30 | 18 | 60% | 53% | 67% |
| 15 |
Jomo Cosmos |
30 | 19 | 63% | 67% | 60% |
| 16 |
University of Pretoria |
30 | 19 | 63% | 60% | 67% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Golden Arrows |
30 | 5 | 17% | 7% | 27% |
| 2 |
Polokwane City |
30 | 4 | 13% | 13% | 13% |
| 3 |
Chippa United |
30 | 2 | 7% | 13% | 0% |
| 4 |
Maritzburg United |
30 | 2 | 7% | 7% | 7% |
| 5 |
Cape Town City |
30 | 4 | 13% | 7% | 20% |
| 6 |
Orlando Pirates |
30 | 3 | 10% | 13% | 7% |
| 7 |
Bidvest Wits |
30 | 3 | 10% | 13% | 7% |
| 8 |
Platinum Stars |
30 | 1 | 3% | 7% | 0% |
| 9 |
SuperSport United |
30 | 3 | 10% | 13% | 7% |
| 10 |
Mamelodi Sundowns |
30 | 5 | 17% | 13% | 20% |
| 11 |
Bloemfontein Celtic |
30 | 6 | 20% | 7% | 33% |
| 12 |
Ajax Cape Town |
30 | 3 | 10% | 13% | 7% |
| 13 |
Free State Stars |
30 | 3 | 10% | 13% | 7% |
| 14 |
Kaizer Chiefs |
30 | 5 | 17% | 20% | 13% |
| 15 |
Jomo Cosmos |
30 | 6 | 20% | 27% | 13% |
| 16 |
University of Pretoria |
30 | 1 | 3% | 0% | 7% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Golden Arrows |
30 | 12 | 40% | 47% | 33% |
| 2 |
Polokwane City |
30 | 10 | 33% | 33% | 33% |
| 3 |
Chippa United |
30 | 6 | 20% | 20% | 20% |
| 4 |
Maritzburg United |
30 | 6 | 20% | 13% | 27% |
| 5 |
Cape Town City |
30 | 13 | 43% | 40% | 47% |
| 6 |
Orlando Pirates |
30 | 12 | 40% | 33% | 47% |
| 7 |
Bidvest Wits |
30 | 13 | 43% | 40% | 47% |
| 8 |
Platinum Stars |
30 | 6 | 20% | 20% | 20% |
| 9 |
SuperSport United |
30 | 7 | 23% | 27% | 20% |
| 10 |
Mamelodi Sundowns |
30 | 10 | 33% | 20% | 47% |
| 11 |
Bloemfontein Celtic |
30 | 14 | 47% | 47% | 47% |
| 12 |
Ajax Cape Town |
30 | 10 | 33% | 33% | 33% |
| 13 |
Free State Stars |
30 | 14 | 47% | 53% | 40% |
| 14 |
Kaizer Chiefs |
30 | 9 | 30% | 33% | 27% |
| 15 |
Jomo Cosmos |
30 | 17 | 57% | 60% | 53% |
| 16 |
University of Pretoria |
30 | 9 | 30% | 40% | 20% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Golden Arrows |
30 | 25 | 83% | 93% | 73% |
| 2 |
Polokwane City |
30 | 21 | 70% | 60% | 80% |
| 3 |
Chippa United |
30 | 22 | 73% | 67% | 80% |
| 4 |
Maritzburg United |
30 | 18 | 60% | 67% | 53% |
| 5 |
Cape Town City |
30 | 22 | 73% | 53% | 93% |
| 6 |
Orlando Pirates |
30 | 23 | 77% | 80% | 73% |
| 7 |
Bidvest Wits |
30 | 23 | 77% | 80% | 73% |
| 8 |
Platinum Stars |
30 | 24 | 80% | 80% | 80% |
| 9 |
SuperSport United |
30 | 22 | 73% | 67% | 80% |
| 10 |
Mamelodi Sundowns |
30 | 22 | 73% | 67% | 80% |
| 11 |
Bloemfontein Celtic |
30 | 25 | 83% | 93% | 73% |
| 12 |
Ajax Cape Town |
30 | 21 | 70% | 73% | 67% |
| 13 |
Free State Stars |
30 | 23 | 77% | 80% | 73% |
| 14 |
Kaizer Chiefs |
30 | 22 | 73% | 73% | 73% |
| 15 |
Jomo Cosmos |
30 | 23 | 77% | 80% | 73% |
| 16 |
University of Pretoria |
30 | 26 | 87% | 93% | 80% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Golden Arrows |
30 | 27 | 90% | 93% | 87% |
| 2 |
Polokwane City |
30 | 25 | 83% | 80% | 87% |
| 3 |
Chippa United |
30 | 26 | 87% | 93% | 80% |
| 4 |
Maritzburg United |
30 | 23 | 77% | 67% | 87% |
| 5 |
Cape Town City |
30 | 28 | 93% | 87% | 100% |
| 6 |
Orlando Pirates |
30 | 26 | 87% | 87% | 87% |
| 7 |
Bidvest Wits |
30 | 27 | 90% | 87% | 93% |
| 8 |
Platinum Stars |
30 | 27 | 90% | 87% | 93% |
| 9 |
SuperSport United |
30 | 27 | 90% | 93% | 87% |
| 10 |
Mamelodi Sundowns |
30 | 26 | 87% | 87% | 87% |
| 11 |
Bloemfontein Celtic |
30 | 27 | 90% | 93% | 87% |
| 12 |
Ajax Cape Town |
30 | 27 | 90% | 100% | 80% |
| 13 |
Free State Stars |
30 | 28 | 93% | 93% | 93% |
| 14 |
Kaizer Chiefs |
30 | 28 | 93% | 93% | 93% |
| 15 |
Jomo Cosmos |
30 | 27 | 90% | 87% | 93% |
| 16 |
University of Pretoria |
30 | 29 | 97% | 100% | 93% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Golden Arrows |
30 | 29 | 97% | 100% | 93% |
| 2 |
Polokwane City |
30 | 30 | 100% | 100% | 100% |
| 3 |
Chippa United |
30 | 29 | 97% | 100% | 93% |
| 4 |
Maritzburg United |
30 | 28 | 93% | 87% | 100% |
| 5 |
Cape Town City |
30 | 29 | 97% | 93% | 100% |
| 6 |
Orlando Pirates |
30 | 29 | 97% | 100% | 93% |
| 7 |
Bidvest Wits |
30 | 29 | 97% | 100% | 93% |
| 8 |
Platinum Stars |
30 | 30 | 100% | 100% | 100% |
| 9 |
SuperSport United |
30 | 29 | 97% | 100% | 93% |
| 10 |
Mamelodi Sundowns |
30 | 28 | 93% | 93% | 93% |
| 11 |
Bloemfontein Celtic |
30 | 30 | 100% | 100% | 100% |
| 12 |
Ajax Cape Town |
30 | 30 | 100% | 100% | 100% |
| 13 |
Free State Stars |
30 | 29 | 97% | 93% | 100% |
| 14 |
Kaizer Chiefs |
30 | 30 | 100% | 100% | 100% |
| 15 |
Jomo Cosmos |
30 | 28 | 93% | 87% | 100% |
| 16 |
University of Pretoria |
30 | 29 | 97% | 100% | 93% |
You can check out how often Mamelodi Sundowns and Chippa United matches in the Premier Soccer League go over or under a certain number of goals on this page. This is a handy tool to help predict how many goals they could potentially score when they meet in their upcoming match.
Here is an example of what we mean:
67% of Mamelodi Sundowns’s matches in the Premier Soccer League have had more than 1.5 goals scored. And when we raise the line of total goals to 2.5, then the rate of matches that go over that number is 50%.
You can also check how many times the total has gone under. In Chippa United’s case, 20% of their matches have seen under 1.5 goals scored. And in terms of matches with under 2.5 goals, the rate is 50%.
You can also see whether Mamelodi Sundowns and Chippa United matches go over or under a total number of goals when playing at home, away, or overall in Premier Soccer League.
The over/under goal analysis for Mamelodi Sundowns vs Chippa United offers valuable insights into each club's playing styles as well as a reasonable estimation of goals we could see in the match.
However, predicting the number of goals in a match does not always go the way the math says it will. It’s important to always consider other factors as well in order to get the best chance of making an accurate prediction.