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Wuhan Three Towns vs Sichuan 2-0 Score & Prediction Review
Super League - Season 2026 (Round 19)
2–0
On these chances Wuhan Three Towns would usually take 2.5 points and Sichuan 0.4; they took 3 and 0. Bookmakers' favourite: Wuhan Three Towns.
Calculated by MyGameOdds · xG: our own model
How it works
Chances (xG): every shot gets a value for how likely it was to go in, and we add them up (our own model). Points their chances were worth: how many points teams usually get from chances like these.
Smash-and-grab: the winner created at least 0.8 xG less than the loser. Robbed: a draw where one side created at least 0.8 xG more. Anything else is a fair result. No verdict after extra time or when there's no xG.
Can you trust it? In these games, SportMonks' own xG agreed on who created more in 95% of the wins and 98% of the draws, and Flashscore agreed in 16 of the 20 games we checked by hand.
How we measure →Wuhan Three Towns vs Sichuan stats: how the match was played
Super League
Whether the result matched the chances each side created, measured with our own xG.
Wuhan Three Towns had more than twice the shots on target
Wuhan Three Towns
Sichuan
13
Shots on target
1
3
Big chances
1
11
Corners
4
1
Yellow cards
0
0
Red cards
1
67%
Possession
33%
Wuhan Three Towns vs Sichuan — Our Model vs the Bookmakers
Market check · Super League
How our model’s pick did in each market, next to the bookmakers’ last odds before kick-off (margin removed): what was correct, what was wrong, and how often our predictions like this one came true over the last 12 months.
How to read it
Our model’s pick
Wuhan Three Towns to win
CorrectOur track record
In 3,513 matches over the last 12 months where our model gave the same pick a 45–50% chance and the bookmakers agreed, it came true 49.3% of the time (bookmakers said 50.5%).
Our model’s pick
Yes, both score
WrongOur track record
In 6,501 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 55.3% of the time (bookmakers said 55.0%).
Our model’s pick
Over 2.5 goals
WrongOur track record
In 5,191 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 57.0% of the time (bookmakers said 56.4%).
Our model’s pick
Under 3.5 goals
CorrectOur track record
In 4,587 matches over the last 12 months where our model gave the same pick a 70–75% chance and the bookmakers agreed, it came true 72.3% of the time (bookmakers said 71.6%).
Our model’s pick
Draw at half-time
WrongOur track record
In 6,723 matches over the last 12 months where our model gave the same pick a 40–45% chance and the bookmakers agreed, it came true 44.7% of the time (bookmakers said 44.2%).
Our model’s pick
Wuhan Three Towns 0–1 goals
WrongOur track record
In 3,480 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 61.8% of the time (bookmakers said 61.1%).
Our model’s pick
Sichuan 0–1 goals
CorrectOur track record
In 3,381 matches over the last 12 months where our model gave the same pick a 70–75% chance and the bookmakers agreed, it came true 71.5% of the time (bookmakers said 72.0%).
Odds: the last ones before kick-off. Picks are marked on the result after 90 minutes. The track record uses closing odds.
Wuhan Three Towns vs Sichuan 2-0 — How Our Predictions Performed
The prediction cards below show the pre-match probabilities our AI model generated for Wuhan Three Towns vs Sichuan. Correct predictions are highlighted in green, so you can quickly see where the model read this match well.
Winner
1X 72%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 50%
Over/Under 3.5 goals
under 62%
Winner
1X 72%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 50%
Over/Under 3.5 goals
under 62%
Full Time
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 25% | 75% | 50% | 50% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 62% | 38% | 85% | 15% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 23% | 77% | 56% | 44% | |
| 37% | 63% | 71% | 29% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 81% | 19% | 93% | 7% | |
| 90% | 10% | 97% | 3% |
1st Half
1st Score
Half Time/Full Time
1-1
26%
X-1
16%
2-2
15%
X-X
14%
X-2
11%
1-X
6%
2-X
6%
2-1
4%
1-2
3%
Correct Score
1-1
12.1%
1-0
11.0%
2-1
9.4%
2-0
8.1%
0-1
7.7%
1-2
6.9%
0-0
6.8%
2-2
5.5%
3-1
4.7%
0-2
4.2%
3-0
4.1%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score