Brick wall
6/10Borussia Dortmund kept 6 clean sheets in their last 10 (league 21%).
Bundesliga Predictions & Stats
Free AI predictions for every upcoming Bundesliga match — 1X2, Both Teams to Score, Over/Under goals and Correct Score probabilities.
Predictions updated on 18 October 2026.
Bundesliga Predictions by Market
Season 2026/2027 · Round 6 · Regular Season
Full-Time Result
53%
SUCCESS RATE AVG.
Both Teams To Score
63%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
69%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
47%
SUCCESS RATE AVG.
First Half Result
39%
SUCCESS RATE AVG.
Correct Score
19%
SUCCESS RATE AVG.
Bundesliga 2026/2027 prediction accuracy over the last 100 matches: 1X2 53%, BTTS 63%, Over/Under 2.5 69%, Over/Under 3.5 47%, correct score 19%.
Bundesliga 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 · 303 matchesrank 1 = highest of 63 competitionsGoals galore
Goals a match
3.31
3rd of 63
xG a match
3.09
5th of 62
Corners a match
9.88
24th of 62
Cards a match
3.74
50th 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.
Bundesliga: the stats that stand out
The Bundesliga teams most unusual in their last 10 games.
How to read it
the teamleague averageeach team's last 10 games6/10Shot-shy
4/6Schalke 04 failed to score in 4 of their last 6 (league 21%).
Fast starters
8/10Bayer 04 Leverkusen scored first in 8 of 10 recent matches with goal times (league 48%).
Always chasing
8/10Werder Bremen conceded first in 8 of 10 recent matches with goal times (league 48%).
Goals at both ends
9/10FC Köln: both teams scored in 9 of their last 10 (league 62%).
Goal-fests
9/10FC Augsburg games went over 2.5 goals in 9 of their last 10 (league 66%).
Banker as favourites
5/6RB Leipzig won 5 of 6 as favourites (league 57%).
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 Bundesliga Germany
Free predictions for today's Bundesliga matches: 1X2, both teams to score, over/under and correct score.
· FT
Bayer 04 Leverkusen2
SC Freiburg1Winner
1 56%
BTTS*
Yes 54%
Correct Score
1-0 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 57%
Bayer 04 Leverkusen2SC Freiburg1Winner
1 56%
BTTS*
Yes 54%
Correct Score
1-0 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 57%
Full Time
156%
X24%
220%
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 18% | 82% | 46% | 54% |
 | 43% | 57% | 75% | 25% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 46% | 54% | 57% | 43% |
Correct Score
1-0
10.8%
1-1
10.8%
2-1
10.3%
2-0
9.3%
0-0
6.0%
· FT
Borussia Mönchengladbach1
TSG Hoffenheim2Winner
X2 68%
BTTS*
Yes 62%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 52%
Borussia Mönchengladbach1TSG Hoffenheim2Winner
X2 68%
BTTS*
Yes 62%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 52%
VfB Stuttgart–Borussia Mönchengladbach–Winner
1 57%
BTTS*
Yes 56%
Correct Score
2-1 10%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 52%
VfB Stuttgart–Borussia Mönchengladbach–Winner
1 57%
BTTS*
Yes 56%
Correct Score
2-1 10%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 52%
Elversberg–
FSV Mainz 05–Winner
X2 71%
BTTS*
Yes 64%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 66%
Over/Under 3.5 goals
over 54%
Elversberg–FSV Mainz 05–Winner
X2 71%
BTTS*
Yes 64%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 66%
Over/Under 3.5 goals
over 54%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Bundesliga xG: chances created and allowed
Every Bundesliga 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 detailsBundesliga average · 1.69 xG, 1.66 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· 18
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 →Bundesliga Results vs the Odds
Season 2026/2027 and the last 30 days
How often each result has happened in Bundesliga 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 −25◀ fewer than expected · −25 pts odds expected+25 more ▶+25 pts · more than expected ▶
Verdict
Home wins
52 matches
51.9%
Season (52) · 51.9% vs 45.5%
Season
+6.5
±12.3
30 days (25) · 52.0% vs 44.4%
30 days
+7.6
±17.8
Draws
52 matches
21.2%
Season (52) · 21.2% vs 21.1%
Season
0.0
±11.0
30 days (25) · 24.0% vs 21.4%
30 days
+2.6
±15.9
Away wins
52 matches
26.9%
Season (52) · 26.9% vs 33.4%
Season
−6.5
±11.7
30 days (25) · 24.0% vs 34.2%
30 days
−10.2
±17.1
Over 2.5 goals
52 matches
73.1%
Season (52) · 73.1% vs 67.8%
Season
+5.2
±12.5
30 days (25) · 64.0% vs 68.7%
30 days
−4.7
±17.8
Both teams scored
52 matches
57.7%
Season (52) · 57.7% vs 63.5%
Season
−5.8
±13.0
30 days (25) · 56.0% vs 64.6%
30 days
−8.6
±18.6
Show more markets (6)Show fewer markets
Over 3.5 goals
52 matches
57.7%
Season (52) · 57.7% vs 47.2%
Season
+10.5
±13.3
30 days (25) · 52.0% vs 48.4%
30 days
+3.6
±19.1
Home side ahead at half-time
52 matches
50.0%
Season (52) · 50.0% vs 36.7%More than expected
Season
+13.3
±12.5More than expected
30 days (25) · 36.0% vs 36.4%
30 days
−0.4
±17.9
Level at half-time
52 matches
25.0%
Season (52) · 25.0% vs 34.7%
Season
−9.7
±12.9
30 days (25) · 44.0% vs 34.4%
30 days
+9.6
±18.5
Away side ahead at half-time
52 matches
25.0%
Season (52) · 25.0% vs 28.6%
Season
−3.6
±11.7
30 days (25) · 20.0% vs 29.3%
30 days
−9.3
±17.1
Home team scored 2+
52 matches
67.3%
Season (52) · 67.3% vs 54.9%
Season
+12.5
±12.8
30 days (25) · 68.0% vs 55.5%
30 days
+12.5
±18.5
Away team scored 2+
52 matches
40.4%
Season (52) · 40.4% vs 45.7%
Season
−5.3
±12.8
30 days (25) · 40.0% vs 47.4%
30 days
−7.4
±18.6
Outside the normal range this season: Home side ahead at half-time 50.0% vs 36.7% expected (chance alone: about 1 in 25).
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 | 52 | 51.9% | 45.5% | +6.5 | ±12.3 | Normal range |
| Home wins | 30 days | 25 | 52.0% | 44.4% | +7.6 | ±17.8 | Normal range |
| Draws | Season | 52 | 21.2% | 21.1% | 0.0 | ±11.0 | Normal range |
| Draws | 30 days | 25 | 24.0% | 21.4% | +2.6 | ±15.9 | Normal range |
| Away wins | Season | 52 | 26.9% | 33.4% | −6.5 | ±11.7 | Normal range |
| Away wins | 30 days | 25 | 24.0% | 34.2% | −10.2 | ±17.1 | Normal range |
| Over 2.5 goals | Season | 52 | 73.1% | 67.8% | +5.2 | ±12.5 | Normal range |
| Over 2.5 goals | 30 days | 25 | 64.0% | 68.7% | −4.7 | ±17.8 | Normal range |
| Both teams scored | Season | 52 | 57.7% | 63.5% | −5.8 | ±13.0 | Normal range |
| Both teams scored | 30 days | 25 | 56.0% | 64.6% | −8.6 | ±18.6 | Normal range |
| Over 3.5 goals | Season | 52 | 57.7% | 47.2% | +10.5 | ±13.3 | Normal range |
| Over 3.5 goals | 30 days | 25 | 52.0% | 48.4% | +3.6 | ±19.1 | Normal range |
| Home side ahead at half-time | Season | 52 | 50.0% | 36.7% | +13.3 | ±12.5 | More than expected |
| Home side ahead at half-time | 30 days | 25 | 36.0% | 36.4% | −0.4 | ±17.9 | Normal range |
| Level at half-time | Season | 52 | 25.0% | 34.7% | −9.7 | ±12.9 | Normal range |
| Level at half-time | 30 days | 25 | 44.0% | 34.4% | +9.6 | ±18.5 | Normal range |
| Away side ahead at half-time | Season | 52 | 25.0% | 28.6% | −3.6 | ±11.7 | Normal range |
| Away side ahead at half-time | 30 days | 25 | 20.0% | 29.3% | −9.3 | ±17.1 | Normal range |
| Home team scored 2+ | Season | 52 | 67.3% | 54.9% | +12.5 | ±12.8 | Normal range |
| Home team scored 2+ | 30 days | 25 | 68.0% | 55.5% | +12.5 | ±18.5 | Normal range |
| Away team scored 2+ | Season | 52 | 40.4% | 45.7% | −5.3 | ±12.8 | Normal range |
| Away team scored 2+ | 30 days | 25 | 40.0% | 47.4% | −7.4 | ±18.6 | Normal range |
Bundesliga luck check: the last 10 games
Bundesliga 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+7.2 = 7 points more than their chances usually bringRiding their luck3
Hamburger SV+7.2
Elversberg6 of 10 gamesClinical · +4 goals+6.0- Borussia Dortmund+4.3
Unlucky2
- FC KölnWasteful · −5 goals−5.0
TSG HoffenheimWasteful · −4 goals−4.9
Points in line, but wasteful: VfB Stuttgart (−6 goals). Clinical: SC Freiburg (+7), FC Augsburg (+4).
In line with their chances: FC Union Berlin, Paderborn, Schalke 04, Werder Bremen, FSV Mainz 05, RB Leipzig, FC Bayern München, Borussia Mönchengladbach, Bayer 04 Leverkusen and Eintracht Frankfurt.
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 →Bundesliga 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 11–Oct 18 · 8 matches · odds: closing, margin removed- Elversberg4-3FC Augsburg
Smash-and-grabElversberg beat FC Augsburg 4-3 despite fewer chances (xG 2.1 vs 4.0).
- Hamburger SV1-0
VfB StuttgartSmash-and-grabHamburger SV beat VfB Stuttgart 1-0 despite fewer chances (xG 1.5 vs 2.6).
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 →Bundesliga 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  FC Bayern München | 6 | 14 | 4 | 2 | 0 | 22:5 | +17 | W D W W D |
2  Borussia Dortmund | 6 | 14 | 4 | 2 | 0 | 11:4 | +7 | D D W W W |
3  SC Freiburg | 6 | 13 | 4 | 1 | 1 | 15:6 | +9 | L W D W W |
4  Bayer 04 Leverkusen | 6 | 13 | 4 | 1 | 1 | 16:9 | +7 | W W W D W |
5  FSV Mainz 05 | 6 | 10 | 3 | 1 | 2 | 14:10 | +4 | W L W L W |
UEFA Champions League
UEFA Europa League
UEFA Conference League Qualifiers
Relegation Play-off
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 Bundesliga 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 Bundesliga
The Bundesliga is the top professional football league in Germany. It consists of 18 teams and operates on a system of promotion and relegation with the 2. Bundesliga. The Bundesliga is one of the most popular and competitive football leagues in the world, known for its high attendance and passionate fan base. FC Bayern Munich is the most successful club in Bundesliga history, having won the league title numerous times.