Kortrijk failed to score in 6 of their last 8 (league 28%).
Pro League Predictions & Stats
Free AI predictions for every upcoming Pro League match — 1X2, Both Teams to Score, Over/Under goals and Correct Score probabilities.
Predictions updated on 13 October 2026.
Pro League Predictions by Market
Season 2026/2027 · Round 9 · Regular Season
Full-Time Result
57%
SUCCESS RATE AVG.
Both Teams To Score
42%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
57%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
68%
SUCCESS RATE AVG.
First Half Result
48%
SUCCESS RATE AVG.
Correct Score
10%
SUCCESS RATE AVG.
Pro League 2026/2027 prediction accuracy over the last 100 matches: 1X2 57%, BTTS 42%, Over/Under 2.5 57%, Over/Under 3.5 68%, correct score 10%.
Pro League 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 · 305 matchesrank 1 = highest of 63 competitionsAway days pay
Goals a match
2.77
26th of 63
xG a match
2.91
17th of 62
Corners a match
10.24
14th of 62
Cards a match
3.8
47th 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.
Pro League: the stats that stand out
The Pro League teams most unusual in their last 10 games.
How to read it
the teamleague averageeach team's last 10 gamesCalculated 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 Pro League Belgium
Free predictions for today's Pro League matches: 1X2, both teams to score, over/under and correct score.
Winner
1X 69%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 61%
Winner
1X 69%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 61%
Full Time
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 24% | 76% | 57% | 44% | |
| 34% | 66% | 67% | 33% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 48% | 52% | 61% | 39% |
Correct Score
1-1
12.1%
1-0
9.7%
2-1
9.6%
0-1
7.6%
1-2
7.5%
2-0
7.1%
0-0
6.5%
Winner
1 59%
BTTS*
Yes 53%
Correct Score
1-0 12%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 59%
Winner
1 59%
BTTS*
Yes 53%
Correct Score
1-0 12%
Over/Under 2.5 goals
over 53%
Over/Under 3.5 goals
under 59%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Pro League xG: chances created and allowed
Every Pro League 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 detailsPro League average · 1.51 xG, 1.52 xGAlast 10 games each↑ Fewer chances allowed (xGA a game)


















More chances created (xG a game) →
Teams by box· 18
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 →Pro League Results vs the Odds
Season 2026/2027 and the last 30 days
How often each result has happened in Pro League 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
Home wins
72 matches
48.6%
Draws
72 matches
18.1%
Away wins
72 matches
33.3%
Over 2.5 goals
72 matches
61.1%
Both teams scored
72 matches
43.1%
Show more markets (6)Show fewer markets
Over 3.5 goals
72 matches
34.7%
Home side ahead at half-time
72 matches
31.9%
Level at half-time
72 matches
40.3%
Away side ahead at half-time
72 matches
27.8%
Home team scored 2+
72 matches
50.0%
Away team scored 2+
72 matches
38.9%
Outside the normal range this season: Both teams scored 43.1% vs 56.3% expected (chance alone: about 1 in 45).
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 | 72 | 48.6% | 43.4% | +5.2 | ±10.7 | Normal range |
| Home wins | 30 days | 22 | 50.0% | 45.3% | +4.7 | ±19.5 | Normal range |
| Draws | Season | 72 | 18.1% | 24.1% | −6.0 | ±9.8 | Normal range |
| Draws | 30 days | 22 | 13.6% | 23.8% | −10.1 | ±17.7 | Normal range |
| Away wins | Season | 72 | 33.3% | 32.5% | +0.8 | ±10.2 | Normal range |
| Away wins | 30 days | 22 | 36.4% | 30.9% | +5.4 | ±18.2 | Normal range |
| Over 2.5 goals | Season | 72 | 61.1% | 56.7% | +4.4 | ±11.3 | Normal range |
| Over 2.5 goals | 30 days | 22 | 54.5% | 57.7% | −3.2 | ±20.4 | Normal range |
| Both teams scored | Season | 72 | 43.1% | 56.3% | −13.3 | ±11.4 | Fewer than expected |
| Both teams scored | 30 days | 22 | 45.5% | 56.7% | −11.2 | ±20.6 | Normal range |
| Over 3.5 goals | Season | 72 | 34.7% | 35.0% | −0.3 | ±10.9 | Normal range |
| Over 3.5 goals | 30 days | 22 | 27.3% | 36.0% | −8.8 | ±19.8 | Normal range |
| Home side ahead at half-time | Season | 72 | 31.9% | 34.2% | −2.3 | ±10.6 | Normal range |
| Home side ahead at half-time | 30 days | 22 | 36.4% | 35.4% | +1.0 | ±19.3 | Normal range |
| Level at half-time | Season | 72 | 40.3% | 39.2% | +1.1 | ±11.2 | Normal range |
| Level at half-time | 30 days | 22 | 36.4% | 38.8% | −2.5 | ±20.3 | Normal range |
| Away side ahead at half-time | Season | 72 | 27.8% | 26.5% | +1.2 | ±9.9 | Normal range |
| Away side ahead at half-time | 30 days | 22 | 27.3% | 25.8% | +1.4 | ±17.8 | Normal range |
| Home team scored 2+ | Season | 72 | 50.0% | 47.2% | +2.8 | ±11.1 | Normal range |
| Home team scored 2+ | 30 days | 22 | 45.5% | 49.1% | −3.6 | ±20.0 | Normal range |
| Away team scored 2+ | Season | 72 | 38.9% | 37.8% | +1.1 | ±10.8 | Normal range |
| Away team scored 2+ | 30 days | 22 | 36.4% | 37.3% | −0.9 | ±19.5 | Normal range |
Pro League luck check: the last 10 games
Pro League 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+7.6 = 8 points more than their chances usually bringRiding their luck4
Gent9 of 10 games+7.6
Sporting Charleroi+5.7
Lommel United8 of 10 games+4.8
Zulte-Waregem+4.7
Unlucky2
Cercle BruggeWasteful · −3 goals−10.2
Kortrijk8 of 10 gamesWasteful · −6 goals−4.0
Points in line, but clinical: Union Saint-Gilloise (+6 goals), Westerlo (+6), Sint-Truiden (+3).
In line with their chances: Club Brugge, Anderlecht, Waasland-Beveren, Standard Liège, Antwerp, Genk, OH Leuven, La Louvière and Mechelen.
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 →Pro League 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 6–Oct 13 · 9 matches · odds: closing, margin removed
Mechelen4-3
Sint-TruidenSmash-and-grabMechelen beat Sint-Truiden 4-3 despite fewer chances (xG 0.8 vs 1.8).
Union Saint-Gilloise1-1
OH LeuvenUpsetBookmakers gave the draw 15.2% at kick-off.
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 →Pro League 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 | 8 | 22 | 7 | 1 | 0 | 15:4 | +11 | W W D W W |
2 | 8 | 21 | 7 | 0 | 1 | 19:4 | +15 | W W W W L |
3 | 8 | 21 | 7 | 0 | 1 | 16:7 | +9 | W W W L W |
4 | 8 | 20 | 6 | 2 | 0 | 22:4 | +18 | D W W W W |
5 | 8 | 16 | 5 | 1 | 2 | 9:6 | +3 | W W W D W |
About Pro League
The league profile compares Pro League 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, tactical trends, 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.
The Belgian Pro League is the top professional football league in Belgium. It consists of 18 teams and operates on a system of promotion and relegation with the Belgian First Division B. The Belgian Pro League is known for its attacking style of play and high-scoring matches. Club Brugge is the most successful club in Belgian Pro League history, having won numerous league titles.