Nigeria NPFL, round 9 · Sunday, 18 October, MSK
Shooting Stars — Ranchers Bees
☆ Save matchModel prediction for 18 October
In short
Shooting Stars are clear favourites: 58% against 17% for the opponent, draw 25%.
2.3 goals expected in total — close to the competition average (2.1).
Over 2.5 goals — 40%, both teams to score — 41%.
Why
- By the strength ratings Shooting Stars are about 0.3 goals per match stronger.
Probabilities
| Expected goals: Shooting Stars — Ranchers Bees What is xG? | 1.6–0.7 | |
| Shooting Stars not to lose | 83% | |
| Ranchers Bees not to lose | 42% | |
| No draw | 75% | |
| Both teams to score: yes | 41% | |
| Both teams to score: no | 59% | |
| Total over 2.5 | 40% | |
| Total under 2.5 | 60% |
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- Handicap Shooting Stars
- Shooting Stars goals
- Ranchers Bees goals
- Corners and cards
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Form
- 11.10away · Kun Khalifat0:2
- 07.10Kano Pillars0:0
- 04.10Nasarawa United0:0
- 30.09away · Enyimba2:4
- 27.09away · Warri Wolves FC0:1
- 10.10Niger Tornadoes0:0
- 04.10away · Kwara United1:2
- 28.09Rivers United FC0:0
- 23.09away · Enugu Rangers0:1
- 19.09Bendel Insurance2:1
Head to head
No previous meetings in the data.
Table
| # | Team | P | W | +/− | Pts |
|---|---|---|---|---|---|
| 15 | Abia Warriors | 8 | 2 | -3 | 9 |
| 16 | Ranchers Bees | 8 | 2 | -1 | 8 |
| 17 | Shooting Stars | 8 | 2 | -4 | 8 |
| 18 | Kun Khalifat | 8 | 2 | -7 | 8 |
Nigeria NPFL on the same day
- 6223151The model's most likely outcome: 1Model's score: 1:02.3
- 363232XThe model's most likely outcome: XModel's score: 1:11.7
- 6323141The model's most likely outcome: 1Model's score: 1:02.3
- 6324141The model's most likely outcome: 1Model's score: 1:02.0
- 4929221The model's most likely outcome: 1Model's score: 1:01.9
- 6920111The model's most likely outcome: 1Model's score: 2:02.5
- 731791The model's most likely outcome: 1Model's score: 2:12.7
- 6821101The model's most likely outcome: 1Model's score: 2:02.0
This is the model’s statistical estimate, not a recommendation. An outcome at 58% will not happen in roughly 42 matches out of 100. How to read probabilities →