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Viktoria Plzeň vs Union Saint-Gilloise 0-3 Score & Prediction Review
Europa League - Season 2026/2027 League Stage (Group Stage) (Round 1)
0–3
On these chances Viktoria Plzeň would usually take 0.6 points and Union Saint-Gilloise 2.2; they took 0 and 3. Bookmakers' favourite: Union Saint-Gilloise.
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 →Viktoria Plzeň vs Union Saint-Gilloise stats: how the match was played
Europa League
Whether the result matched the chances each side created, measured with our own xG.
Union Saint-Gilloise had more than twice the shots on target
Viktoria Plzeň
Union Saint-Gilloise
5
Shots on target
13
2
Big chances
7
5
Corners
1
2
Yellow cards
2
48%
Possession
53%
Viktoria Plzeň vs Union Saint-Gilloise — Our Model vs the Bookmakers
Market check · Europa 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
Viktoria Plzeň to win
WrongThe bookmakers’ favourite was correct: Union Saint-Gilloise to win.
Our track record
In 376 matches over the last 12 months where our model gave the same pick a 45–50% chance but the bookmakers favoured a different outcome, it came true 27.1% of the time: closer to the bookmakers’ 30.8% than to our 45–50%.
Our model’s pick
Yes, both score
WrongOur track record
In 5,692 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 56.8% of the time (bookmakers said 57.8%).
Our model’s pick
Over 2.5 goals
CorrectOur track record
In 5,148 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 57.1% of the time (bookmakers said 56.4%).
Our model’s pick
Under 3.5 goals
CorrectOur track record
In 3,954 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.5% of the time (bookmakers said 66.8%).
Our model’s pick
Draw at half-time
WrongOur track record
In 6,650 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
Viktoria Plzeň 0–1 goals
CorrectOur track record
In 2,802 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 59.4% of the time (bookmakers said 58.7%).
Our model’s pick
Union Saint-Gilloise 0–1 goals
WrongOur track record
In 3,267 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.1% of the time (bookmakers said 67.8%).
Odds: the last ones before kick-off. Picks are marked on the result after 90 minutes. The track record uses closing odds.
Viktoria Plzeň vs Union Saint-Gilloise 0-3 — How Our Predictions Performed
The prediction cards below show the pre-match probabilities our AI model generated for Viktoria Plzeň vs Union Saint-Gilloise. Correct predictions are highlighted in green, so you can quickly see where the model read this match well.
Winner
1X 70%
BTTS*
Yes 56%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 58%
Winner
1X 70%
BTTS*
Yes 56%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 58%
Full Time
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 23% | 77% | 46% | 54% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 58% | 42% | 81% | 19% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 24% | 76% | 54% | 46% | |
| 36% | 64% | 67% | 33% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 78% | 22% | 91% | 9% | |
| 88% | 12% | 96% | 4% |
1st Half
1st Score
Half Time/Full Time
1-1
29%
X-1
16%
2-2
16%
X-X
14%
X-2
11%
2-X
5%
1-X
4%
2-1
3%
1-2
2%
Correct Score
1-1
11.1%
1-0
9.4%
2-1
8.7%
0-1
7.3%
2-0
7.2%
1-2
6.9%
0-0
6.4%
2-2
5.9%
0-2
4.6%
3-1
4.4%
3-0
4.1%
3-2
3.1%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score