Most improved
Current league position to last 5 table position.
NigeriaNPFL
Full time result
Home Win
263/380
Home win
Away or draw
69%
31%
Draw
86/380
Draw
Home/away win
23%
77%
Away Win
31/380
Away win
Home or draw
8%
92%
BTTS
BTS
158/380
BTS yes
BTS no
42%
58%
BTS & Win
106/380
Yes
No
28%
72%
Overs
Over 1.5
241/380
Over
Under
63%
37%
Over 2.5
139/380
Over
Under
37%
63%
Over 3.5
72/380
Over
Under
19%
81%
In decline
Current league position to last 5 table position.
Lobi Stars6th-915th
Enyimba3rd-710th
Plateau United5th-712th
Katsina United7th-714th
Kano Pillars10th-717th
Most improved at home
Current home-table position to last 5 home-table position.
Heartland18th+126th
Akwa United13th+112nd
In decline at home
Current home-table position to last 5 home-table position.
Lobi Stars8th-1018th
Enyimba3rd-710th
Most improved away
Current away-table position to last 5 away-table position.
Bendel Insurance12th+75th
Abia Warriors14th+68th
In decline away
Current away-table position to last 5 away-table position.
Lobi Stars8th-715th
Doma United11th-718th
Day to day
Stat | Overall | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | Sunday |
Matches played | 380 | 14 | 14 | 64 | 25 | 3 | 66 | 194 |
Home Win | 69% | 57% | 71% | 69% | 76% | 100% | 68% | 69% |
Draw | 23% | 21% | 21% | 19% | 20% | 0% | 27% | 23% |
Away Win | 8% | 21% | 7% | 13% | 4% | 0% | 5% | 8% |
BTS | 42% | 50% | 64% | 39% | 36% | 0% | 33% | 44% |
BTS & Win | 28% | 36% | 50% | 27% | 24% | 0% | 15% | 31% |
Over 1.5 | 63% | 86% | 79% | 59% | 60% | 67% | 50% | 67% |
Over 2.5 | 37% | 50% | 50% | 36% | 28% | 33% | 24% | 40% |
Over 3.5 | 19% | 14% | 21% | 20% | 12% | 0% | 17% | 21% |
Carry this league view into Matchday
Return to Matchday once you know which league deserves attention, then narrow the final fixture list with the wider daily board.
Analysis breakdown
NPFL analysis
Use this page to test whether the main patterns inside NPFL still hold when you move beyond headline table context.
How to use this analysis page
Use this page when you want deeper context on how NPFL is behaving. Start with market snapshot, then check biggest movers and day-to-day patterns before trusting one surface-level league signal.
This page is most useful after league overview already tells you competition deserves closer inspection.
Page guide
What this page is showing
This page currently analyses 380 played fixtures in NPFL across 20 teams. Use it to understand league movement, not just headline table position.
Current scope
Freshness and methodology
Satdee updates this public league analysis as match data changes. Treat snapshot rates, movers, and day-to-day changes as research context, then validate the strongest ideas on team pages, match lists, and market views.
Data quality
Research next
Move from league context to watchlist you can explain
- Start with market snapshot and biggest movers.
- Check whether pattern still holds on team pages and match lists.
- Use market pages only after league-level signal still looks coherent.
- Return to Satdee matchday calendar and keep only fixtures that still make sense.
FAQ
Questions users usually ask next
Few quick answers about what this league page is showing, how to use it in Satdee flow, where to go next.
Why use NPFL analysis instead of the overview alone?
NPFL analysis adds market movement and day-to-day behaviour, which is more useful when broad table context is not enough to explain why league looks interesting.
What should I do after finding useful pattern here?
Check team pages, match lists, and relevant market pages, then return to the Satdee matchday calendar if upcoming fixtures still fit the angle you want to follow.