Hard to break
0/10Beijing Guoan haven't conceded first in any of 10 recent matches with goal times (league 48%).
Super League China Predictions & Stats
Free AI predictions for every upcoming Super League China match — 1X2, Both Teams to Score, Over/Under goals and Correct Score probabilities.
Predictions updated on 19 October 2026.
Super League Predictions by Market
Season 2026 · Round 29 · Regular Season
Full-Time Result
49%
SUCCESS RATE AVG.
Both Teams To Score
61%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
59%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
59%
SUCCESS RATE AVG.
First Half Result
38%
SUCCESS RATE AVG.
Correct Score
20%
SUCCESS RATE AVG.
Super League 2026 prediction accuracy over the last 100 matches: 1X2 49%, BTTS 61%, Over/Under 2.5 59%, Over/Under 3.5 59%, correct score 20%.
Super League China stats: goals, BTTS, corners and cards vs other leagues
How this competition ranks among the leagues and cups we cover for goals, chances (xG), corners and cards.
How to read it
last 12 months · 250 matchesrank 1 = highest of 63 competitionsGoals galore
Goals a match
3.12
10th of 63
xG a match
2.98
11th of 62
Corners a match
10.08
18th of 62
Cards a match
4.11
31st of 63
Calculated by MyGameOdds · xG: our own model
How it works
We use the league's matches from the last 12 months, without qualifying rounds, and rank it against the 63 leagues and club competitions with 50 or more matches in that time (1 = highest). A label marks a league in the top fifth on goals, home or away wins, draws, cards or corners, or in the bottom fifth on goals. xG is our estimate of each match's chances from its shots.
Super League China: the stats that stand out
The Super League China teams most unusual in their last 10 games.
How to read it
the teamleague averageeach team's last 10 games0/10Low-scoring
2/10Qingdao Youth Island games went over 2.5 goals in only 2 of their last 10 (league 59%).
Slow starters
1/10Qingdao Hainiu scored first in only 1 of 10 recent matches with goal times (league 48%).
Flop as favourites
0/6Henan Songshan Longmen won none of 6 as favourites (league 49%).
Brick wall
5/10Tianjin Jinmen Tiger kept 5 clean sheets in their last 10 (league 21%).
Always on the scoresheet
0/10Dalian Zhixing scored in all of their last 10 (league 21% fail to score).
Goals at both ends
8/10Hangzhou: both teams scored in 8 of their last 10 (league 63%).
Calculated by MyGameOdds
How it works
For each stat we show the club that stands out most, one club per stat. A fact needs at least 6 games and a result far enough from the league average to be unusual (at least one standard deviation).
How we measure →Today's Betting Tips for Super League China
Free predictions for today's Super League China matches: 1X2, both teams to score, over/under and correct score.
Tianjin Jinmen Tiger–
Shanghai Port–Winner
X2 68%
BTTS*
Yes 62%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 51%
Tianjin Jinmen Tiger–Shanghai Port–Winner
X2 68%
BTTS*
Yes 62%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 51%
Full Time
132%
X24%
244%
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 31% | 69% | 62% | 38% |
 | 22% | 78% | 51% | 49% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 39% | 61% | 51% | 49% |
Correct Score
1-1
10.3%
1-2
9.3%
2-1
7.6%
0-1
7.5%
2-2
6.8%
1-0
6.3%
0-2
6.0%
Chengdu Rongcheng–
Dalian Zhixing–Winner
1 54%
BTTS*
Yes 58%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 53%
Chengdu Rongcheng–Dalian Zhixing–Winner
1 54%
BTTS*
Yes 58%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 53%
Wuhan Three Towns–
Shandong Taishan–Winner
X2 66%
BTTS*
Yes 61%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 54%
Wuhan Three Towns–Shandong Taishan–Winner
X2 66%
BTTS*
Yes 61%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 54%
Henan Songshan Longmen–
Beijing Guoan–Winner
X2 66%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 61%
Henan Songshan Longmen–Beijing Guoan–Winner
X2 66%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 61%
Sichuan–
Shanghai Shenhua–Winner
X2 74%
BTTS*
Yes 61%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 60%
Over/Under 3.5 goals
under 52%
Sichuan–Shanghai Shenhua–Winner
X2 74%
BTTS*
Yes 61%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 60%
Over/Under 3.5 goals
under 52%
Liaoning Tieren FC–
Hangzhou–Winner
1X 63%
BTTS*
Yes 65%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 63%
Over/Under 3.5 goals
over 51%
Liaoning Tieren FC–Hangzhou–Winner
1X 63%
BTTS*
Yes 65%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 63%
Over/Under 3.5 goals
over 51%
Chongqing Tonglianglong FC–
Qingdao Hainiu–Winner
1 61%
BTTS*
Yes 51%
Correct Score
1-0 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 57%
Chongqing Tonglianglong FC–Qingdao Hainiu–Winner
1 61%
BTTS*
Yes 51%
Correct Score
1-0 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 57%
Qingdao Youth Island–
Yunnan Yukun–Winner
1X 75%
BTTS*
Yes 52%
Correct Score
1-0 11%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 58%
Qingdao Youth Island–Yunnan Yukun–Winner
1X 75%
BTTS*
Yes 52%
Correct Score
1-0 11%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 58%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Super League China xG: chances created and allowed
Every Super League China team's chances created and allowed a game, measured with our own xG.
How to read it
each logo is a team · tap one for detailseach logo is a team · hover one for detailsSuper League China average · 1.55 xG, 1.59 xGAlast 10 games eachTap a logo to see the team's numbers
↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
Teams by box· 16
Good attack, good defence
Good attack, weak defence
Weak attack, good defence
Weak attack, weak defence
Calculated by MyGameOdds · xG: our own model
How it works
xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.
How we measure →Super League China Results vs the Odds
Season 2026 and the last 30 days
How often each result has happened in Super League China this season (thick bar) and in the last 30 days (thin bar), next to what the bookmakers’ closing odds expected. The last 30 days cover fewer matches, so their normal range is wider and big swings there are still normal. This is not our prediction accuracy.
How to read it
what the closing odds expectednormal range: chance alone lands here 19 times in 20gap to the odds, in percentage pointsgap outside the normal rangethick bar: Season · thin bar: 30 days
Result · happened
◀ fewer −30◀ fewer than expected · −30 pts odds expected+30 more ▶+30 pts · more than expected ▶
Verdict
Home wins
224 matches
44.6%
Season (224) · 44.6% vs 47.1%
Season
−2.5
±6.2
30 days (16) · 31.3% vs 44.4%
30 days
−13.1
±23.1
Draws
224 matches
26.8%
Season (224) · 26.8% vs 23.6%
Season
+3.2
±5.5
30 days (16) · 25.0% vs 22.6%
30 days
+2.4
±20.4
Away wins
224 matches
28.6%
Season (224) · 28.6% vs 29.3%
Season
−0.7
±5.7
30 days (16) · 43.8% vs 33.0%
30 days
+10.8
±21.7
Over 2.5 goals
224 matches
58.0%
Season (224) · 58.0% vs 59.9%
Season
−1.8
±6.3
30 days (16) · 62.5% vs 64.8%
30 days
−2.3
±23.0
Both teams scored
224 matches
62.9%
Season (224) · 62.9% vs 59.6%
Season
+3.3
±6.4
30 days (16) · 50.0% vs 62.5%
30 days
−12.5
±23.5
Show more markets (6)Show fewer markets
Over 3.5 goals
224 matches
38.4%
Season (224) · 38.4% vs 38.5%
Season
−0.1
±6.3
30 days (16) · 50.0% vs 43.7%
30 days
+6.3
±23.7
Home side ahead at half-time
224 matches
37.5%
Season (224) · 37.5% vs 36.3%
Season
+1.2
±6.2
30 days (16) · 31.3% vs 35.2%
30 days
−4.0
±22.8
Level at half-time
224 matches
37.5%
Season (224) · 37.5% vs 38.2%
Season
−0.7
±6.3
30 days (16) · 25.0% vs 36.3%
30 days
−11.3
±23.5
Away side ahead at half-time
224 matches
25.0%
Season (224) · 25.0% vs 25.4%
Season
−0.4
±5.6
30 days (16) · 43.8% vs 28.5%
30 days
+15.3
±21.3
Home team scored 2+
224 matches
49.6%
Season (224) · 49.6% vs 51.6%
Season
−2.1
±6.3
30 days (16) · 37.5% vs 53.3%
30 days
−15.8
±23.3
Away team scored 2+
224 matches
34.8%
Season (224) · 34.8% vs 39.1%
Season
−4.3
±6.2
30 days (16) · 37.5% vs 46.2%
30 days
−8.7
±23.3
Shows what happened, not what comes next. Closing odds from one bookmaker per match, bookmaker margin removed. Updated daily.
Show as a tableHide the table
| Result | Period | Matches | Happened | Odds expected | Gap (pts) | Normal range (± pts) | Verdict |
|---|---|---|---|---|---|---|---|
| Home wins | Season | 224 | 44.6% | 47.1% | −2.5 | ±6.2 | Normal range |
| Home wins | 30 days | 16 | 31.3% | 44.4% | −13.1 | ±23.1 | Normal range |
| Draws | Season | 224 | 26.8% | 23.6% | +3.2 | ±5.5 | Normal range |
| Draws | 30 days | 16 | 25.0% | 22.6% | +2.4 | ±20.4 | Normal range |
| Away wins | Season | 224 | 28.6% | 29.3% | −0.7 | ±5.7 | Normal range |
| Away wins | 30 days | 16 | 43.8% | 33.0% | +10.8 | ±21.7 | Normal range |
| Over 2.5 goals | Season | 224 | 58.0% | 59.9% | −1.8 | ±6.3 | Normal range |
| Over 2.5 goals | 30 days | 16 | 62.5% | 64.8% | −2.3 | ±23.0 | Normal range |
| Both teams scored | Season | 224 | 62.9% | 59.6% | +3.3 | ±6.4 | Normal range |
| Both teams scored | 30 days | 16 | 50.0% | 62.5% | −12.5 | ±23.5 | Normal range |
| Over 3.5 goals | Season | 224 | 38.4% | 38.5% | −0.1 | ±6.3 | Normal range |
| Over 3.5 goals | 30 days | 16 | 50.0% | 43.7% | +6.3 | ±23.7 | Normal range |
| Home side ahead at half-time | Season | 224 | 37.5% | 36.3% | +1.2 | ±6.2 | Normal range |
| Home side ahead at half-time | 30 days | 16 | 31.3% | 35.2% | −4.0 | ±22.8 | Normal range |
| Level at half-time | Season | 224 | 37.5% | 38.2% | −0.7 | ±6.3 | Normal range |
| Level at half-time | 30 days | 16 | 25.0% | 36.3% | −11.3 | ±23.5 | Normal range |
| Away side ahead at half-time | Season | 224 | 25.0% | 25.4% | −0.4 | ±5.6 | Normal range |
| Away side ahead at half-time | 30 days | 16 | 43.8% | 28.5% | +15.3 | ±21.3 | Normal range |
| Home team scored 2+ | Season | 224 | 49.6% | 51.6% | −2.1 | ±6.3 | Normal range |
| Home team scored 2+ | 30 days | 16 | 37.5% | 53.3% | −15.8 | ±23.3 | Normal range |
| Away team scored 2+ | Season | 224 | 34.8% | 39.1% | −4.3 | ±6.2 | Normal range |
| Away team scored 2+ | 30 days | 16 | 37.5% | 46.2% | −8.7 | ±23.3 | Normal range |
Super League China luck check: the last 10 games
Super League China teams taking more or fewer points than their chances usually bring, measured with our own xG.
How to read it
what their chances usually bringnormal range (±4)outside it+7.1 = 7 points more than their chances usually bringRiding their luck3
- Tianjin Jinmen Tiger+7.1
- Beijing GuoanClinical · +5 goals+6.7
- Shanghai Port+4.9
Unlucky5
- Henan Songshan LongmenWasteful · −4 goals−6.5
- Qingdao HainiuWasteful · −7 goals−5.9
Chongqing Tonglianglong FCWasteful · −3 goals−5.4
Chengdu RongchengWasteful · −4 goals−4.8
Liaoning Tieren FC−4.2
Points in line, but wasteful: Wuhan Three Towns (−4 goals). Clinical: Yunnan Yukun (+3).
In line with their chances: Shandong Taishan, Qingdao Youth Island, Dalian Zhixing, Shanghai Shenhua, Sichuan and Hangzhou.
Calculated by MyGameOdds · xG: our own model
How it works
For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.
We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.
Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.
How we measure →Super League China last week: smash-and-grab wins and upsets
Smash-and-grab wins (the side with clearly fewer chances won) and upsets (results the closing odds gave under 20%) from the last 7 days.
How to read it
Oct 12–Oct 19 · 8 matches · odds: closing, margin removedNo smash-and-grab wins or upsets in these 8 matches.
Calculated by MyGameOdds · xG: our own model
How it works
Smash-and-grab: the winner had at least 0.8 less xG than the loser (our xG, from shots). Upset: the result the closing odds gave under 20%, with the bookmaker margin removed. Across our leagues about 6% of matches are smash-and-grab wins and about 5% are upsets.
How we measure →Super League China Standings
Check the current league table, team positions, points, and form. Click to view complete standings with detailed statistics.
#TEAM | MP | PTS | W | D | L | G | GD | FORM |
|---|---|---|---|---|---|---|---|---|
1  Chengdu Rongcheng | 28 | 52 | 15 | 7 | 6 | 51:34 | +17 | L L D W L |
2  Dalian Zhixing | 28 | 46 | 14 | 4 | 10 | 45:43 | +2 | W W W D W |
3  Beijing Guoan | 28 | 44 | 13 | 10 | 5 | 53:33 | +20 | W W D D D |
4  Shandong Taishan | 28 | 41 | 14 | 5 | 9 | 52:44 | +8 | W D D W L |
5  Shanghai Port | 28 | 39 | 12 | 8 | 8 | 47:35 | +12 | W W D W W |
AFC Champions League
AFC Champions League Qualifiers
Relegation
MP=Matches Played
PTS=Points
W=Wins
D=Draws
L=Losses
G=Goals (For:Against)
GD=Goal Difference
FORM=Last 5 Matches
The league profile compares Super League China with the 63 leagues and cups we rank over the last 12 months (rank 1 = highest). The stats that stand out pick the most unusual numbers from each team's last 10 games. The attack vs defence chart puts each team in one of four boxes: top right creates more and allows fewer chances than the league average. The luck check shows who got more or fewer points than their chances in the last 10 games, and Last week lists wins with fewer chances and results the bookmakers gave under 20%.
These statistics represent prediction accuracy based on the last 100 matches in the league. Accuracy reflects how often the model correctly predicted the outcome for each market. Our football predictions are generated using advanced AI techniques combined with historical match data, team form, player availability and head-to-head records to deliver reliable forecasts. Explore our prediction results tracker for live accuracy across all completed matches, our league accuracy data for competition-level breakdowns, or prediction performance for team-level insights.
About Super League China
The Chinese Super League is the top professional football league in China. It consists of 16 teams and operates on a system of promotion and relegation. The Chinese Super League is known for its high-profile signings and ambitious clubs. Guangzhou Evergrande Taobao FC is the most successful club in Chinese Super League history.