| Expected Goals (xG) | |
|---|---|
| 2.26 | 0.46 |
| Ball Possession | |
| 48% | 52% |
| Total shots | |
| 14 | 12 |
| Shots on target | |
| 4 | 1 |
| Big Chances | |
| 5 | 0 |
| Corner Kicks | |
| 2 | 7 |
| Passes | |
| 74% (280/376) | 70% (286/408) |
| Yellow Cards | |
| 3 | 3 |
| Red Cards | |
| 0 | 1 |
| Expected Goals (xG) | |
| 2.26 | 0.46 |
| xG on target (xGOT) | |
| 1.10 | 0.32 |
| Total shots | |
| 14 | 12 |
| Shots on target | |
| 4 | 1 |
| Shots off target | |
| 8 | 4 |
| Blocked Shots | |
| 2 | 7 |
| Shots inside the Box | |
| 11 | 5 |
| Shots outside the Box | |
| 3 | 7 |
| Hit the Woodwork | |
| 0 | 0 |
| Big Chances | |
| 5 | 0 |
| Corner Kicks | |
| 2 | 7 |
| Touches in opposition box | |
| 21 | 18 |
| Offsides | |
| 2 | 0 |
| Free Kicks | |
| 20 | 9 |
| Passes | |
| 74% (280/376) | 70% (286/408) |
| Long passes | |
| 35% (17/48) | 33% (27/83) |
| Passes in final third | |
| 59% (46/78) | 53% (86/162) |
| Crosses | |
| 44% (7/16) | 17% (4/24) |
| Expected assists (xA) | |
| 1.75 | 0.58 |
| Fouls | |
| 9 | 20 |
| Tackles | |
| 50% (5/10) | 62% (8/13) |
| Duels won | |
| 49 | 52 |
| Clearances Total | |
| 62 | 21 |
| Interceptions | |
| 10 | 12 |
| Errors leading to shot | |
| 0 | 2 |
| Errors leading to goal | |
| 0 | 0 |
| Goalkeeper Saves | |
| 1 | 3 |
| xGOT faced | |
| 0.32 | 1.10 |
| Goals prevented | |
| 0.32 | 0.10 |
| Werder Bremen 59% | Draw 21.9% | Bochum 19.1% |
| Werder Bremen 50.7% | Draw 24.2% | Bochum 25.1% |
| Werder Bremen 52% | Draw 23.6% | Bochum 24.5% |
Werder Bremen has improved its chances compared to the initial analysis. (+8.3%)
Note: This is a significant improvement in prediction, suggesting increased confidence in Werder Bremen's performance.
Bochum has seen a decrease in its chances compared to the initial analysis. (-6%)
Note: This is a significant drop in prediction, and Bochum might be facing challenges that affect their performance.
ML Model estimates a lower probability for Werder Bremen than the current prediction. (-7%)
Note: The ML model's lower estimate suggests that there may be underlying issues with Werder Bremen that the model has picked up on.
ML Model estimates a higher probability for Bochum than the current prediction. (+5.4%)
Note: The ML model's higher estimate suggests that Bochum could outperform expectations, possibly based on recent matchups or player stats.
| 1 | X | 2 | Marga | ||
|---|---|---|---|---|---|
| Avarage Now (Initially) |
1.63 ↓ (1.9) |
4.38 ↑ (3.98) |
5 ↑ (3.83) |
4% (3.9%) |
| Pl | W | D | L | Diff | Pts | |||
| 1 | Bayern Munich ✔ | 31 | 23 | 6 | 2 | 90:29 | 61 | 75 |
| 2 | Bayer Leverkusen ✔ | 31 | 19 | 10 | 2 | 66:35 | 31 | 67 |
| 3 | Eintracht Frankfurt | 31 | 16 | 7 | 8 | 62:42 | 20 | 55 |
| 4 | Freiburg | 31 | 15 | 6 | 10 | 44:47 | -3 | 51 |
| 5 | RB Leipzig | 31 | 13 | 10 | 8 | 48:42 | 6 | 49 |
| 6 | Dortmund | 31 | 14 | 6 | 11 | 60:49 | 11 | 48 |
| 7 | Mainz | 31 | 13 | 8 | 10 | 48:39 | 9 | 47 |
| 8 | Werder Bremen | 31 | 13 | 7 | 11 | 48:54 | -6 | 46 |
| 9 | B. Monchengladbach | 31 | 13 | 5 | 13 | 51:50 | 1 | 44 |
| 10 | Augsburg | 31 | 11 | 10 | 10 | 33:42 | -9 | 43 |
| 11 | Stuttgart | 31 | 11 | 8 | 12 | 56:51 | 5 | 41 |
| 12 | Wolfsburg | 31 | 10 | 9 | 12 | 53:48 | 5 | 39 |
| 13 | Union Berlin | 31 | 9 | 9 | 13 | 31:45 | -14 | 36 |
| 14 | St. Pauli | 31 | 8 | 7 | 16 | 26:36 | -10 | 31 |
| 15 | Hoffenheim | 31 | 7 | 9 | 15 | 40:58 | -18 | 30 |
| 16 | Heidenheim | 31 | 7 | 4 | 20 | 33:60 | -27 | 25 |
| 17 | Holstein Kiel | 31 | 5 | 7 | 19 | 45:74 | -29 | 22 |
| 18 | Bochum | 31 | 5 | 6 | 20 | 30:63 | -33 | 21 |
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