Most improved
Current league position to last 5 table position.
Nantong Zhiyun16th+106th
ChinaSuper League
Full time result
Home Win
111/240
Home win
Away or draw
46%
54%
Draw
55/240
Draw
Home/away win
23%
77%
Away Win
74/240
Away win
Home or draw
31%
69%
BTTS
BTS
135/240
BTS yes
BTS no
56%
44%
BTS & Win
96/240
Yes
No
40%
60%
Overs
Over 1.5
186/240
Over
Under
78%
23%
Over 2.5
140/240
Over
Under
58%
42%
Over 3.5
98/240
Over
Under
41%
59%
Nantong ZhiyunIn decline
Current league position to last 5 table position.
No teams currently match this trend.
Most improved at home
Current home-table position to last 5 home-table position.
Meizhou Hakka12th+84th
In decline at home
Current home-table position to last 5 home-table position.
Zhejiang6th-1016th
Most improved away
Current away-table position to last 5 away-table position.
Qingdao West Coast8th+62nd
In decline away
Current away-table position to last 5 away-table position.
Tianjin Jinmen Tiger7th-815th
Day to day
Stat | Overall | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | Sunday |
Matches played | 240 | 2 | 19 | 15 | 2 | 52 | 79 | 71 |
Home Win | 46% | 0% | 32% | 47% | 50% | 40% | 53% | 48% |
Draw | 23% | 0% | 37% | 33% | 0% | 15% | 24% | 23% |
Away Win | 31% | 100% | 32% | 20% | 50% | 44% | 23% | 30% |
BTS | 56% | 0% | 74% | 40% | 100% | 60% | 61% | 48% |
BTS & Win | 40% | 0% | 42% | 13% | 100% | 48% | 46% | 32% |
Over 1.5 | 78% | 100% | 84% | 93% | 100% | 77% | 78% | 70% |
Over 2.5 | 58% | 50% | 53% | 67% | 100% | 60% | 61% | 54% |
Over 3.5 | 41% | 50% | 32% | 53% | 100% | 44% | 39% | 38% |
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
Super League analysis
Use this page to test whether the main patterns inside Super League 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 Super League 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 240 played fixtures in Super League across 16 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 Super League analysis instead of the overview alone?
Super League 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.