Shot-shy
6/10Qingdao Hainiu failed to score in 6 of their last 10 (league 21%).
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Qingdao Hainiu vs Shenzhen Peng City Prediction, Stats & Betting Tips
Super League - Season 2026 (Round 30)
Unlucky
Qingdao Hainiu are taking fewer points than their chances usually bring
−7points fewer than their chances usually bring in their last 10
83% of teams this far behind their chances got more points in their next 10 games.
Bookmakers: Qingdao Hainiu 17% to winSichuan 63%
Qingdao Hainiu vs Sichuan score prediction
Super League
The goals we expect each side to score, not an exact score: built from both teams' chances, the bookmakers' view and real goals here.
Evenly matched in front of goal
3.0 goals in total, a little under the Super League average of 3.1.
goals expected
Qingdao Hainiu1.5
Sichuan1.5Calculated by MyGameOdds · xG: our own model
How it works
We look at how many chances each team has created and allowed in its recent games in this league, what the bookmakers expected from those games, and the goals actually scored. Then we compare that with how many goals home and away teams usually score here.
Does it work? Since July 2025, our numbers have been 7% closer to the real goals than just using the league average.
How we measure →Get our AI football prediction and stats for Qingdao Hainiu vs Sichuan: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
Qingdao Hainiu vs Sichuan — Our Model vs the Bookmakers
Market check · Super League
For each market: our model’s probability for this match, the bookmakers’ probability from the current odds (margin removed), whether the two agree, and how often our predictions like this one came true over the last 12 months. When they disagree, the bookmakers’ number has usually been the better guide.
How to read it
our model’s probabilitybookmakers’ probabilityAgreesDisagreesour model’s pick is / is not the bookmakers’ favouriteTrack record: finished matches from the last 12 months
Full-Time Result →Agrees with bookmakers
Our model’s pick
Sichuan to win
Our model 45%Bookmakers 63%
Our track record
In 3,602 matches over the last 12 months where our model gave the same pick a 40–45% chance and the bookmakers agreed, it came true 47.4% of the time (bookmakers said 47.0%).
Both Teams to Score →Agrees with bookmakers
Our model’s pick
Yes, both score
Our model 63%Bookmakers 63%
Our track record
In 2,480 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 62.7% of the time (bookmakers said 61.7%).
Over/Under 2.5 Goals →Agrees with bookmakers
Our model’s pick
Over 2.5 goals
Our model 62%Bookmakers 68%
Our track record
In 3,105 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 61.5% of the time (bookmakers said 62.7%).
Over/Under 3.5 Goals →Agrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 61%Bookmakers 54%
Our track record
In 2,403 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 63.6% of the time (bookmakers said 62.8%).
First Half Result →Disagrees with bookmakers
Our model’s pick
Draw at half-time
Our model 42%Bookmakers 34%
Our track record
In 2,264 matches over the last 12 months where our model gave the same pick a 40–45% chance but the bookmakers favoured a different outcome, it came true 36.6% of the time: closer to the bookmakers’ 37.3% than to our 40–45%.
Qingdao Hainiu Goals →Agrees with bookmakers
Our model’s pick
Qingdao Hainiu 0–1 goals
Our model 61%Bookmakers 68%
Our track record
In 3,459 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 64.0% of the time (bookmakers said 64.0%).
Sichuan Goals →Disagrees with bookmakers
Our model’s pick
Sichuan 0–1 goals
Our model 52%Bookmakers 33%
Our track record
In 843 matches over the last 12 months where our model gave the same pick a 50–55% chance but the bookmakers favoured a different outcome, it came true 42.2% of the time: closer to the bookmakers’ 42.5% than to our 50–55%.
Odds can still move before kick-off. The track record uses closing odds.
Qingdao Hainiu vs Sichuan — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for Qingdao Hainiu vs Sichuan. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Qingdao Hainiu–
Sichuan–Winner
X2 67%
BTTS*
Yes 63%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 62%
Over/Under 3.5 goals
under 51%
Qingdao Hainiu–Sichuan–Winner
X2 67%
BTTS*
Yes 63%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 62%
Over/Under 3.5 goals
under 51%
Full Time
134%
X22%
245%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 18% | 82% | 38% | 62% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 51% | 49% | 75% | 25% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 32% | 68% | 61% | 39% |
| 23% | 77% | 52% | 48% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 83% | 17% | 94% | 6% |
| 76% | 24% | 90% | 10% |
1st Half
130%
X42%
228%
1st Score
149%
X4%
247%
Half Time/Full Time
2-2
22%
1-1
21%
X-2
16%
X-1
13%
X-X
12%
1-X
5%
2-X
5%
1-2
3%
2-1
3%
Correct Score
1-1
9.5%
1-2
8.8%
2-1
7.9%
0-1
7.5%
1-0
6.3%
0-2
6.2%
2-2
6.1%
1-3
4.9%
2-0
4.3%
0-0
4.2%
0-3
3.9%
3-1
3.6%
2-3
3.3%
3-2
3.0%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Qingdao Hainiu vs Sichuan: the stats that stand out
Super League
Where each side is most unusual compared with the rest of the league: clean sheets, scoring first, wins as favourites and more.
How to read it
the teamleague averageshare of games, 0 to 100%Qingdao Hainiu: shot-shy, always chasing and leaky
6/10Always chasing
9/10Qingdao Hainiu conceded first in 9 of their last 10 (league 48%).
Leaky
0/10Qingdao Hainiu kept no clean sheet in their last 10 (league 21%).
Calculated by MyGameOdds
How it works
We compare each team's last 10 games in this competition with how often the same thing happens across the whole league (last 12 months). A fact only shows when the team is noticeably different from a typical team. For example, if teams here score first in half their games, a team needs 7 or more out of 10 (or 3 or fewer). We show up to three facts, the most unusual first, never two about the same thing. They describe what happened, not a forecast.
How we measure →Qingdao Hainiu vs Sichuan: attack vs defence
Super League
Both sides' chances created and allowed a game, next to the rest of the league, measured with our own xG.
How to read it
other Super League teamsleague averagelast 10 games↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
- Qingdao Hainiu: weak attack, weak defence (1.23 xG, 2.03 xGA a game)
- Sichuan: weak attack, good defence (1.45 xG, 1.52 xGA)
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 →Qingdao Hainiu vs Sichuan form and luck check
Super League
Whether each side is taking more or fewer points than its chances usually bring.
How to read it
what their chances usually bringoutside the normal range (±4)last 10 Super League gamesQingdao Hainiu are taking fewer points than their chances usually bring
- Qingdao HainiuBookmakers: 17% to win today.Wasteful · −8 goals−6.5
- SichuanBookmakers: 63% to win today.−0.2
Last 5 matches
SichuanW
L
D
D
L
Qingdao HainiuL
L
L
L
L
W
D
L
Strength rank: Qingdao Hainiu 16th of 16 · Sichuan 14th of 16
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.
Strength rank: we rank this season's 16 teams by how much better their attack is than their defence, using chances (xG), the odds and goals. Does it work? Over the first half of a season, this rank predicted the second half better than the league table did.
How we measure →Qingdao Hainiu vs Sichuan: Over 2.5 & BTTS?
Super League
How often each side's recent league games had over 2.5 goals and both teams scoring.
How to read it
a game where it happenedleague averagelast 10 Super League gamesBTTS = both teams scoredBoth teams score in Qingdao Hainiu games less often than the Super League average (63%), in Sichuan games more often.
Over 2.5 goalsleague 58%
Qingdao Hainiu6 of 10
Sichuan6 of 10
BTTSleague 63%
Qingdao Hainiu4 of 10
Sichuan7 of 10
Calculated by MyGameOdds
How it works
For each team we take its last 10 games in this competition from the past 12 months (fewer if it hasn't played 10) and count how many went over 2.5 goals and how many had both teams scoring. The league figure uses all 248 games played here in the last 12 months.
How we measure →Qingdao Hainiu vs Sichuan corners, cards and goal times
Super League
Each side's corners and cards a game, and when it scores and concedes, from its recent league games.
How to read it
league averagelast 10 in the league · corners and cards per game- Corners won: league 5.0
- Cards: league 2.0
- Goals before half-time: league 42%
- Goals after 75': league 26%
Calculated by MyGameOdds
How it works
We use each team's last 10 games here. Corners and cards only count games where those stats were recorded, and goal times only count games with reliable goal minutes, so some teams have fewer than 10. We compare with the whole league over the last 12 months.
How we measure →Our prediction record
Our last 5 predictions in each team’s matches, by market.
Full-Time Result
Sichuan2/5
Qingdao Hainiu3/5
Both Teams to Score
Sichuan4/5
Qingdao Hainiu2/5
Over/Under 2.5 Goals
Sichuan3/5
Qingdao Hainiu4/5
Over/Under 3.5 Goals
Sichuan3/5
Qingdao Hainiu3/5
First Half Result
Sichuan4/5
Qingdao Hainiu1/5
Correct Score
Sichuan0/5
Qingdao Hainiu0/5
correct predictionwrong prediction