Brick wall
7/10Kaiserslautern kept 7 clean sheets in their last 10 (league 23%).
2. Bundesliga Predictions & Stats
Free AI predictions for every upcoming 2. Bundesliga match — 1X2, Both Teams to Score, Over/Under goals and Correct Score probabilities.
Predictions updated on 4 November 2026.
2. Bundesliga Predictions by Market
Season 2026/2027 · Round 11 · Regular Season
Full-Time Result
42%
SUCCESS RATE AVG.
Both Teams To Score
56%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
58%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
70%
SUCCESS RATE AVG.
First Half Result
35%
SUCCESS RATE AVG.
Correct Score
10%
SUCCESS RATE AVG.
2. Bundesliga 2026/2027 prediction accuracy over the last 100 matches: 1X2 42%, BTTS 56%, Over/Under 2.5 58%, Over/Under 3.5 70%, correct score 10%.
2. 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 · 297 matchesrank 1 = highest of 63 competitionsGoals galore
Goals a match
2.97
13th of 63
xG a match
3.05
7th of 62
Corners a match
Cards a match
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.
2. Bundesliga: the stats that stand out
The 2. Bundesliga teams most unusual in their last 10 games.
How to read it
the teamleague averageeach team's last 10 games7/10Slow starters
1/10Darmstadt 98 scored first in only 1 of 10 recent matches with goal times (league 47%).
Banker as favourites
8/9Hertha BSC won 8 of 9 as favourites (league 50%).
Shot-shy
5/10Holstein Kiel failed to score in 5 of their last 10 (league 23%).
Low-scoring
3/10VfL Bochum 1848 games went over 2.5 goals in only 3 of their last 10 (league 57%).
Hard to break
2/10VfL Wolfsburg conceded first in only 2 of 10 recent matches with goal times (league 47%).
Goals at both ends
8/10Energie Cottbus: both teams scored in 8 of their last 10 (league 60%).
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 2. Bundesliga Germany
Free predictions for today's 2. Bundesliga matches: 1X2, both teams to score, over/under and correct score.
Eintracht Braunschweig–
Energie Cottbus–Winner
1X 67%
BTTS*
Yes 61%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 53%
Eintracht Braunschweig–Energie Cottbus–Winner
1X 67%
BTTS*
Yes 61%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 53%
Full Time
143%
X25%
233%
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 24% | 76% | 54% | 46% |
| 31% | 69% | 62% | 38% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 42% | 58% | 53% | 47% |
Correct Score
1-1
10.9%
2-1
8.8%
1-0
8.1%
1-2
7.5%
2-2
6.7%
0-1
6.5%
2-0
6.4%
Dynamo Dresden–
SpVgg Greuther Fürth–Winner
1X 71%
BTTS*
Yes 60%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 54%
Dynamo Dresden–SpVgg Greuther Fürth–Winner
1X 71%
BTTS*
Yes 60%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 54%
Holstein Kiel–
DSC Arminia Bielefeld–Winner
1X 68%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
Holstein Kiel–DSC Arminia Bielefeld–Winner
1X 68%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
Nürnberg–
Darmstadt 98–Winner
1 50%
BTTS*
Yes 59%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 60%
Over/Under 3.5 goals
under 52%
Nürnberg–Darmstadt 98–Winner
1 50%
BTTS*
Yes 59%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 60%
Over/Under 3.5 goals
under 52%
Osnabrück–
Kaiserslautern–Winner
X2 65%
BTTS*
Yes 59%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 57%
Osnabrück–Kaiserslautern–Winner
X2 65%
BTTS*
Yes 59%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 57%
Hertha BSC–
VfL Wolfsburg–Winner
1X 69%
BTTS*
Yes 62%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 62%
Over/Under 3.5 goals
over 50%
Hertha BSC–VfL Wolfsburg–Winner
1X 69%
BTTS*
Yes 62%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 62%
Over/Under 3.5 goals
over 50%
Magdeburg–
St. Pauli–Winner
1X 74%
BTTS*
Yes 56%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 56%
Magdeburg–St. Pauli–Winner
1X 74%
BTTS*
Yes 56%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 56%
VfL Bochum 1848–
Karlsruher SC–Winner
1X 72%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
VfL Bochum 1848–Karlsruher SC–Winner
1X 72%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
Heidenheim–
Hannover 96–Winner
12 77%
BTTS*
Yes 61%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 51%
Heidenheim–Hannover 96–Winner
12 77%
BTTS*
Yes 61%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 51%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
2. Bundesliga xG: chances created and allowed
Every 2. 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 details2. Bundesliga average · 1.65 xG, 1.65 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 →2. Bundesliga Results vs the Odds
Season 2026/2027 and the last 30 days
How often each result has happened in 2. 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 −40◀ fewer than expected · −40 pts odds expected+40 more ▶+40 pts · more than expected ▶
Verdict
Home wins
90 matches
46.7%
Season (90) · 46.7% vs 43.4%
Season
+3.3
±10.0
30 days (36) · 58.3% vs 43.1%
30 days
+15.2
±15.9
Draws
90 matches
27.8%
Season (90) · 27.8% vs 24.7%
Season
+3.1
±8.9
30 days (36) · 27.8% vs 24.4%
30 days
+3.4
±14.0
Away wins
90 matches
25.6%
Season (90) · 25.6% vs 31.9%
Season
−6.4
±9.5
30 days (36) · 13.9% vs 32.5%Fewer than expected
30 days
−18.6
±15.0Fewer than expected
Over 2.5 goals
90 matches
56.7%
Season (90) · 56.7% vs 62.4%
Season
−5.7
±10.0
30 days (36) · 44.4% vs 63.1%Fewer than expected
30 days
−18.6
±15.7Fewer than expected
Both teams scored
90 matches
56.7%
Season (90) · 56.7% vs 63.7%
Season
−7.1
±9.9
30 days (36) · 47.2% vs 64.2%Fewer than expected
30 days
−16.9
±15.6Fewer than expected
Show more markets (6)Show fewer markets
Over 3.5 goals
90 matches
31.1%
Season (90) · 31.1% vs 40.9%
Season
−9.8
±10.1
30 days (36) · 19.4% vs 41.5%Fewer than expected
30 days
−22.0
±16.0Fewer than expected
Home side ahead at half-time
90 matches
36.7%
Season (90) · 36.7% vs 34.7%
Season
+1.9
±9.8
30 days (36) · 44.4% vs 34.3%
30 days
+10.1
±15.4
Level at half-time
90 matches
37.8%
Season (90) · 37.8% vs 37.7%
Season
+0.1
±10.0
30 days (36) · 33.3% vs 37.5%
30 days
−4.1
±15.8
Away side ahead at half-time
90 matches
25.6%
Season (90) · 25.6% vs 27.6%
Season
−2.0
±9.2
30 days (36) · 22.2% vs 28.2%
30 days
−6.0
±14.6
Home team scored 2+
90 matches
53.3%
Season (90) · 53.3% vs 52.1%
Season
+1.3
±10.2
30 days (36) · 52.8% vs 52.3%
30 days
+0.5
±16.1
Away team scored 2+
90 matches
27.8%
Season (90) · 27.8% vs 43.4%Fewer than expected
Season
−15.6
±10.1Fewer than expected
30 days (36) · 11.1% vs 44.9%Fewer than expected
30 days
−33.7
±16.0Fewer than expected
Outside the normal range this season: Away team scored 2+ 27.8% vs 43.4% expected (chance alone: about 1 in 420).
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 | 90 | 46.7% | 43.4% | +3.3 | ±10.0 | Normal range |
| Home wins | 30 days | 36 | 58.3% | 43.1% | +15.2 | ±15.9 | Normal range |
| Draws | Season | 90 | 27.8% | 24.7% | +3.1 | ±8.9 | Normal range |
| Draws | 30 days | 36 | 27.8% | 24.4% | +3.4 | ±14.0 | Normal range |
| Away wins | Season | 90 | 25.6% | 31.9% | −6.4 | ±9.5 | Normal range |
| Away wins | 30 days | 36 | 13.9% | 32.5% | −18.6 | ±15.0 | Fewer than expected |
| Over 2.5 goals | Season | 90 | 56.7% | 62.4% | −5.7 | ±10.0 | Normal range |
| Over 2.5 goals | 30 days | 36 | 44.4% | 63.1% | −18.6 | ±15.7 | Fewer than expected |
| Both teams scored | Season | 90 | 56.7% | 63.7% | −7.1 | ±9.9 | Normal range |
| Both teams scored | 30 days | 36 | 47.2% | 64.2% | −16.9 | ±15.6 | Fewer than expected |
| Over 3.5 goals | Season | 90 | 31.1% | 40.9% | −9.8 | ±10.1 | Normal range |
| Over 3.5 goals | 30 days | 36 | 19.4% | 41.5% | −22.0 | ±16.0 | Fewer than expected |
| Home side ahead at half-time | Season | 90 | 36.7% | 34.7% | +1.9 | ±9.8 | Normal range |
| Home side ahead at half-time | 30 days | 36 | 44.4% | 34.3% | +10.1 | ±15.4 | Normal range |
| Level at half-time | Season | 90 | 37.8% | 37.7% | +0.1 | ±10.0 | Normal range |
| Level at half-time | 30 days | 36 | 33.3% | 37.5% | −4.1 | ±15.8 | Normal range |
| Away side ahead at half-time | Season | 90 | 25.6% | 27.6% | −2.0 | ±9.2 | Normal range |
| Away side ahead at half-time | 30 days | 36 | 22.2% | 28.2% | −6.0 | ±14.6 | Normal range |
| Home team scored 2+ | Season | 90 | 53.3% | 52.1% | +1.3 | ±10.2 | Normal range |
| Home team scored 2+ | 30 days | 36 | 52.8% | 52.3% | +0.5 | ±16.1 | Normal range |
| Away team scored 2+ | Season | 90 | 27.8% | 43.4% | −15.6 | ±10.1 | Fewer than expected |
| Away team scored 2+ | 30 days | 36 | 11.1% | 44.9% | −33.7 | ±16.0 | Fewer than expected |
2. Bundesliga luck check: the last 10 games
2. 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+9.0 = 9 points more than their chances usually bringRiding their luck3
- Hertha BSC+9.0
NürnbergClinical · +5 goals+5.3- KaiserslauternWasteful · −7 goals+4.9
Unlucky2
- Holstein KielWasteful · −3 goals−5.1
St. PauliWasteful · −4 goals−4.3
Points in line, but wasteful: Hannover 96 (−9 goals), VfL Bochum 1848 (−7), Heidenheim (−4), Karlsruher SC (−3). Clinical: Magdeburg (+5).
In line with their chances: VfL Wolfsburg, SpVgg Greuther Fürth, DSC Arminia Bielefeld, Osnabrück, Energie Cottbus, Darmstadt 98, Dynamo Dresden and Eintracht Braunschweig.
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 →2. 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 28–Nov 4 · 9 matches · odds: closing, margin removed- St. Pauli1-3Nürnberg
Smash-and-grabNürnberg beat St. Pauli 3-1 despite fewer chances (xG 1.5 vs 2.7).
SpVgg Greuther Fürth1-0Holstein KielSmash-and-grabSpVgg Greuther Fürth beat Holstein Kiel 1-0 despite fewer chances (xG 0.8 vs 1.7).
- Energie Cottbus1-2VfL Bochum 1848
Smash-and-grabVfL Bochum 1848 beat Energie Cottbus 2-1 despite fewer chances (xG 1.2 vs 2.1).
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 →2. 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  Hertha BSC | 10 | 28 | 9 | 1 | 0 | 23:8 | +15 | W W D W W |
2  Nürnberg | 10 | 21 | 6 | 3 | 1 | 24:13 | +11 | W L D D W |
3  VfL Wolfsburg | 10 | 19 | 5 | 4 | 1 | 25:14 | +11 | W D W D W |
4  Kaiserslautern | 10 | 18 | 5 | 3 | 2 | 9:7 | +2 | L W W D W |
5  Magdeburg | 10 | 17 | 5 | 2 | 3 | 21:13 | +8 | D W L W D |
Promotion
Promotion Play-off
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 2. 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 2. Bundesliga
The 2. Bundesliga is the second division of professional football in Germany. It is known for its competitiveness and high-quality football. The 2. Bundesliga has a strong following and serves as a pathway for clubs to earn promotion to the Bundesliga. Many talented players and coaches have honed their skills in the 2. Bundesliga.