Rarely both score
1/10Kaiserslautern: both teams scored in only 1 of their last 10 (league 62%).
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 8 October 2026.
2. Bundesliga Predictions by Market
Season 2026/2027 · Round 7 · Regular Season
Full-Time Result
42%
SUCCESS RATE AVG.
Both Teams To Score
60%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
58%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
64%
SUCCESS RATE AVG.
First Half Result
34%
SUCCESS RATE AVG.
Correct Score
13%
SUCCESS RATE AVG.
2. Bundesliga 2026/2027 prediction accuracy over the last 100 matches: 1X2 42%, BTTS 60%, Over/Under 2.5 58%, Over/Under 3.5 64%, correct score 13%.
2. Bundesliga stats compared with 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 · 288 matchesrank 1 = highest of 63 competitionsGoals galoreCorner-heavy
Goals a match
3.03
11th of 63
xG a match
3.06
5th of 62
Corners a match
10.24
11th of 62
Cards a match
4.52
22nd 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.
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 games1/10Banker as favourites
6/6Nürnberg won 6 of 6 as favourites (league 49%).
Always chasing
8/10Darmstadt 98 conceded first in 8 of 10 recent matches with goal times (league 48%).
Brick wall
4/10Magdeburg kept 4 clean sheets in their last 10 (league 22%).
Shot-shy
4/10Eintracht Braunschweig failed to score in 4 of their last 10 (league 22%).
Goal-fests
8/10DSC Arminia Bielefeld games went over 2.5 goals in 8 of their last 10 (league 59%).
Slow starters
3/10Karlsruher SC scored first in only 3 of 10 recent matches with goal times (league 48%).
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–
Holstein Kiel–Winner
12 74%
BTTS*
Yes 57%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Eintracht Braunschweig–Holstein Kiel–Winner
12 74%
BTTS*
Yes 57%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Full Time
135%
X26%
239%
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 29% | 71% | 62% | 38% |
 | 27% | 73% | 59% | 41% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 46% | 54% | 59% | 41% |
Correct Score
1-1
12.0%
1-2
8.8%
0-1
8.5%
2-1
8.1%
1-0
7.8%
0-0
6.3%
2-2
6.3%
Heidenheim–
Kaiserslautern–Winner
1X 72%
BTTS*
Yes 62%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 62%
Over/Under 3.5 goals
over 50%
Heidenheim–Kaiserslautern–Winner
1X 72%
BTTS*
Yes 62%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 62%
Over/Under 3.5 goals
over 50%
Osnabrück–
Dynamo Dresden–Winner
X2 68%
BTTS*
Yes 59%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 51%
Osnabrück–Dynamo Dresden–Winner
X2 68%
BTTS*
Yes 59%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 51%
Magdeburg–
Hannover 96–Winner
X2 69%
BTTS*
Yes 64%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 66%
Over/Under 3.5 goals
over 54%
Magdeburg–Hannover 96–Winner
X2 69%
BTTS*
Yes 64%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 66%
Over/Under 3.5 goals
over 54%
Darmstadt 98–
Energie Cottbus–Winner
1X 67%
BTTS*
Yes 61%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 60%
Over/Under 3.5 goals
under 52%
Darmstadt 98–Energie Cottbus–Winner
1X 67%
BTTS*
Yes 61%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 60%
Over/Under 3.5 goals
under 52%
Nürnberg–
VfL Wolfsburg–Winner
1X 67%
BTTS*
Yes 68%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 69%
Over/Under 3.5 goals
over 56%
Nürnberg–VfL Wolfsburg–Winner
1X 67%
BTTS*
Yes 68%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 69%
Over/Under 3.5 goals
over 56%
VfL Bochum 1848–
DSC Arminia Bielefeld–Winner
1X 70%
BTTS*
Yes 58%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 56%
VfL Bochum 1848–DSC Arminia Bielefeld–Winner
1X 70%
BTTS*
Yes 58%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 56%
Hertha BSC–
SpVgg Greuther Fürth–Winner
1X 72%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 57%
Hertha BSC–SpVgg Greuther Fürth–Winner
1X 72%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 57%
St. Pauli–
Karlsruher SC–Winner
12 72%
BTTS*
Yes 50%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 64%
St. Pauli–Karlsruher SC–Winner
12 72%
BTTS*
Yes 50%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 64%
Energie Cottbus–Nürnberg–Winner
X2 70%
BTTS*
Yes 62%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 62%
Over/Under 3.5 goals
under 50%
Energie Cottbus–Nürnberg–Winner
X2 70%
BTTS*
Yes 62%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 62%
Over/Under 3.5 goals
under 50%
Holstein Kiel–Hertha BSC–Winner
X2 70%
BTTS*
Yes 60%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 60%
Over/Under 3.5 goals
under 52%
Holstein Kiel–Hertha BSC–Winner
X2 70%
BTTS*
Yes 60%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 60%
Over/Under 3.5 goals
under 52%
SpVgg Greuther Fürth–Eintracht Braunschweig–Winner
12 76%
BTTS*
Yes 62%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 51%
SpVgg Greuther Fürth–Eintracht Braunschweig–Winner
12 76%
BTTS*
Yes 62%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 51%
Kaiserslautern–VfL Bochum 1848–Winner
1X 72%
BTTS*
Yes 59%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 56%
Kaiserslautern–VfL Bochum 1848–Winner
1X 72%
BTTS*
Yes 59%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 56%
VfL Wolfsburg–Heidenheim–Winner
1X 71%
BTTS*
Yes 60%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 52%
VfL Wolfsburg–Heidenheim–Winner
1X 71%
BTTS*
Yes 60%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 52%
Hannover 96–St. Pauli–Winner
1X 75%
BTTS*
Yes 53%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 61%
Hannover 96–St. Pauli–Winner
1X 75%
BTTS*
Yes 53%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 61%
DSC Arminia Bielefeld–Osnabrück–Winner
1X 72%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 59%
DSC Arminia Bielefeld–Osnabrück–Winner
1X 72%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 59%
Dynamo Dresden–Magdeburg–Winner
X2 67%
BTTS*
Yes 66%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 67%
Over/Under 3.5 goals
over 55%
Dynamo Dresden–Magdeburg–Winner
X2 67%
BTTS*
Yes 66%
Correct Score
1-1 09%
Over/Under 2.5 goals
over 67%
Over/Under 3.5 goals
over 55%
Karlsruher SC–Darmstadt 98–Winner
X2 65%
BTTS*
Yes 62%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 63%
Over/Under 3.5 goals
over 51%
Karlsruher SC–Darmstadt 98–Winner
X2 65%
BTTS*
Yes 62%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 63%
Over/Under 3.5 goals
over 51%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
2. Bundesliga attack vs defence: 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 · 1.63 xG, 1.63 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 −30◀ fewer than expected · −30 pts odds expected+30 more ▶+30 pts · more than expected ▶
Verdict
Home wins
54 matches
38.9%
Season (54) · 38.9% vs 43.6%
Season
−4.7
±12.9
30 days (18) · 44.4% vs 42.4%
30 days
+2.1
±22.4
Draws
54 matches
27.8%
Season (54) · 27.8% vs 24.9%
Season
+2.9
±11.5
30 days (18) · 33.3% vs 24.6%
30 days
+8.8
±19.9
Away wins
54 matches
33.3%
Season (54) · 33.3% vs 31.6%
Season
+1.8
±12.2
30 days (18) · 22.2% vs 33.0%
30 days
−10.8
±21.4
Over 2.5 goals
54 matches
64.8%
Season (54) · 64.8% vs 61.9%
Season
+3.0
±12.9
30 days (18) · 55.6% vs 64.7%
30 days
−9.1
±22.0
Both teams scored
54 matches
63.0%
Season (54) · 63.0% vs 63.4%
Season
−0.5
±12.8
30 days (18) · 66.7% vs 65.5%
30 days
+1.1
±21.9
Show more markets (6)Show fewer markets
Over 3.5 goals
54 matches
38.9%
Season (54) · 38.9% vs 40.5%
Season
−1.6
±13.0
30 days (18) · 22.2% vs 43.2%
30 days
−21.0
±22.8
Home side ahead at half-time
54 matches
31.5%
Season (54) · 31.5% vs 35.0%
Season
−3.5
±12.6
30 days (18) · 38.9% vs 34.7%
30 days
+4.2
±21.8
Level at half-time
54 matches
40.7%
Season (54) · 40.7% vs 37.9%
Season
+2.9
±12.9
30 days (18) · 44.4% vs 37.0%
30 days
+7.5
±22.3
Away side ahead at half-time
54 matches
27.8%
Season (54) · 27.8% vs 27.1%
Season
+0.6
±11.8
30 days (18) · 16.7% vs 28.4%
30 days
−11.7
±20.7
Home team scored 2+
54 matches
53.7%
Season (54) · 53.7% vs 51.9%
Season
+1.8
±13.2
30 days (18) · 38.9% vs 52.8%
30 days
−13.9
±22.8
Away team scored 2+
54 matches
38.9%
Season (54) · 38.9% vs 42.4%
Season
−3.6
±13.0
30 days (18) · 27.8% vs 46.0%
30 days
−18.2
±22.7
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 | 54 | 38.9% | 43.6% | −4.7 | ±12.9 | Normal range |
| Home wins | 30 days | 18 | 44.4% | 42.4% | +2.1 | ±22.4 | Normal range |
| Draws | Season | 54 | 27.8% | 24.9% | +2.9 | ±11.5 | Normal range |
| Draws | 30 days | 18 | 33.3% | 24.6% | +8.8 | ±19.9 | Normal range |
| Away wins | Season | 54 | 33.3% | 31.6% | +1.8 | ±12.2 | Normal range |
| Away wins | 30 days | 18 | 22.2% | 33.0% | −10.8 | ±21.4 | Normal range |
| Over 2.5 goals | Season | 54 | 64.8% | 61.9% | +3.0 | ±12.9 | Normal range |
| Over 2.5 goals | 30 days | 18 | 55.6% | 64.7% | −9.1 | ±22.0 | Normal range |
| Both teams scored | Season | 54 | 63.0% | 63.4% | −0.5 | ±12.8 | Normal range |
| Both teams scored | 30 days | 18 | 66.7% | 65.5% | +1.1 | ±21.9 | Normal range |
| Over 3.5 goals | Season | 54 | 38.9% | 40.5% | −1.6 | ±13.0 | Normal range |
| Over 3.5 goals | 30 days | 18 | 22.2% | 43.2% | −21.0 | ±22.8 | Normal range |
| Home side ahead at half-time | Season | 54 | 31.5% | 35.0% | −3.5 | ±12.6 | Normal range |
| Home side ahead at half-time | 30 days | 18 | 38.9% | 34.7% | +4.2 | ±21.8 | Normal range |
| Level at half-time | Season | 54 | 40.7% | 37.9% | +2.9 | ±12.9 | Normal range |
| Level at half-time | 30 days | 18 | 44.4% | 37.0% | +7.5 | ±22.3 | Normal range |
| Away side ahead at half-time | Season | 54 | 27.8% | 27.1% | +0.6 | ±11.8 | Normal range |
| Away side ahead at half-time | 30 days | 18 | 16.7% | 28.4% | −11.7 | ±20.7 | Normal range |
| Home team scored 2+ | Season | 54 | 53.7% | 51.9% | +1.8 | ±13.2 | Normal range |
| Home team scored 2+ | 30 days | 18 | 38.9% | 52.8% | −13.9 | ±22.8 | Normal range |
| Away team scored 2+ | Season | 54 | 38.9% | 42.4% | −3.6 | ±13.0 | Normal range |
| Away team scored 2+ | 30 days | 18 | 27.8% | 46.0% | −18.2 | ±22.7 | Normal range |
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+8.7 = 9 points more than their chances usually bringRiding their luck3
- NürnbergClinical · +6 goals+8.7
Hertha BSC+5.2- KaiserslauternWasteful · −6 goals+4.7
Unlucky2
- Darmstadt 98Wasteful · −4 goals−5.1
SpVgg Greuther Fürth−4.3
Points in line, but wasteful: Karlsruher SC (−5 goals), VfL Bochum 1848 (−3), Hannover 96 (−3).
In line with their chances: Heidenheim, Magdeburg, Energie Cottbus, Osnabrück, VfL Wolfsburg, Eintracht Braunschweig, Holstein Kiel, St. Pauli, DSC Arminia Bielefeld and Dynamo Dresden.
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 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 | 6 | 18 | 6 | 0 | 0 | 17:7 | +10 | W W W W W |
2  Nürnberg | 6 | 16 | 5 | 1 | 0 | 16:6 | +10 | W W D W W |
3  Heidenheim | 6 | 13 | 4 | 1 | 1 | 14:12 | +2 | D W W W L |
4  VfL Wolfsburg | 6 | 11 | 3 | 2 | 1 | 15:8 | +7 | W L D W W |
5  Kaiserslautern | 6 | 11 | 3 | 2 | 1 | 6:4 | +2 | W L W 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
About 2. Bundesliga
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.
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 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.