Nigeria NPFL, round 9 · Sunday, 18 October, MSK

Niger Tornadoes — Ikorodu City

☆ Save match

Model prediction for 18 October

Niger Tornadoes49%
Draw29%
Ikorodu City22%
Model estimate at MSK

In short

Niger Tornadoes are clear favourites: 49% against 22% for the opponent, draw 29%.

1.9 goals expected in total — close to the competition average (2.1).

Over 2.5 goals — 30%, both teams to score — 36%.

Why

  • By the strength ratings the teams are almost level.

Probabilities

Expected goals: Niger Tornadoes — Ikorodu City What is xG?1.2–0.7
Niger Tornadoes not to lose78%
Ikorodu City not to lose51%
No draw71%
Both teams to score: yes36%
Both teams to score: no64%
Total over 2.530%
Total under 2.570%

91 more model lines in Premium

All totals and handicaps, team totals, corners and cards, the score grid, every factor and how the estimate moved before kick-off.

  • All totals
  • Handicap Niger Tornadoes
  • Niger Tornadoes goals
  • Ikorodu City goals
  • Corners and cards
  • Full score grid
Get Premiumfrom $5.99 a month

Form

Niger Tornadoes

  • 10.10away · Ranchers Bees0:0
  • 04.10Kun Khalifat1:0
  • 27.09away · Nasarawa United0:1
  • 23.09Warri Wolves FC0:0
  • 19.09away · Katsina United0:1

Ikorodu City

  • 10.10Kwara United2:0
  • 04.10away · Rivers United FC0:2
  • 30.09away · Sporting Lagos0:0
  • 27.09Enugu Rangers2:0
  • 23.09away · Bendel Insurance1:2

Head to head

  • 08.02.2026Ikorodu City — Niger Tornadoes2:0
  • 21.09.2025Niger Tornadoes — Ikorodu City4:2
  • 13.04.2025Ikorodu City — Niger Tornadoes3:0
  • 23.11.2024Niger Tornadoes — Ikorodu City0:0

Full record: 4 meetings →

Table

Table «Overall», season 2026/27
#TeamPWDLGoals+/−Pts
5Doma United841310–10013
6Ikorodu City833210–7+312
7Bendel Insurance840414–13+112
13Warri Wolves FC83146–7-110
14Niger Tornadoes82336–7-19
15Abia Warriors82338–11-39

Season 2026/27

Full table

Nigeria NPFL on the same day

This is the model’s statistical estimate, not a recommendation. An outcome at 49% will not happen in roughly 51 matches out of 100. How to read probabilities →