01 · 2 legs
Safe
- Double chance Dynamo Dresden or draw (1X)71%
- Over 1.5 goals76%
2. BundesligaRudolf-Harbig-Stadion, Dresden18°5,2 mm18 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
Dynamo Dresden holds a psychological edge with two wins in as many head-to-head clashes against Bochum since 2023, but the sample is too scant to overshadow current form and expected goals. The hosts are favored by the model at 42%, yet the xPoints and xG metrics suggest the visitors have been more effective, particularly in transition — Bochum's xG within eight seconds of winning the ball (0.18) is twice that of Dresden's. This suggests that while Dresden might control possession, Bochum could be lethal on the counter.
Despite Dresden's slight home advantage, the expected goals indicate a tightly contested affair. Both teams profile similarly as possession-oriented, aiming to dictate the pace. The xG numbers per match are almost neck and neck, with Bochum edging Dresden 1.5 to 1.4. Yet, it's in defense where Bochum shines, boasting an xGA of 0.75 compared to Dresden's leaky 1.8. This could be a crucial factor, especially given the damp conditions expected to slightly suppress goal-scoring opportunities.
The model's most likely scorelines further illustrate the anticipated balance: 1-1 at 12%, closely followed by a 1-0 win for Dresden at 10%. This aligns with the thin margin suggested by Dresden's expected goals advantage of 1.53 to 1.18. Goals are projected to be scarce, with the over 2.5 goals threshold sitting almost evenly at 51%. The weather, with its anticipated rain, also hints at a tighter game, reinforcing the value in betting on fewer goals.
The sharp angle here is the under 2.5 goals bet, offering value across multiple platforms — Betsafe, Betsson, and Nordicbet at odds of 2.2. The model sees this as a 49% chance, presenting an 8% edge. Given the stats and the small head-to-head sample, this looks like the standout opportunity for bettors.
The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Dynamo Dresden | X | 2 · Bochum |
|---|---|---|---|
| Betsafe | 2.08 | 3.40 | 3.10 |
| Betsson | 2.08 | 3.40 | 3.10 |
| Nordicbet | 2.08 | 3.40 | 3.10 |
| Pinnacle | 2.21 | EV+ 6% 3.65 | 3.28 |
Odds updated 5 Sept, 08:32
2.11 → 2.21
3.75 → 3.65
3.24 → 3.28
Pinnacle · 10 recorded price levels · 31/08/2026 → 05/09/2026 · fixed scale 5 percentage points
Head-to-head based on 2. Bundesliga data since 2023.
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | Dynamo Dresden | Bochum |
|---|---|---|
| Points | 3 | 3 |
| xPoints | 3.7 | 5.1 |
| xG per match | 1.4 | 1.5 |
| xGA per match | 1.8 | 0.75 |
| xG within 8s of winning the ball | 0.09 | 0.18 |
| xGA within 8s of losing the ball | 0.42 | 0.21 |
| Playing style | Dynamo Dresden | Bochum |
|---|---|---|
| Build-up efficiency | 0.3 | 0.32 |
| Field tilt | 0.49 | 0.54 |
| xT per match | 0.83 | 0.98 |
| xTA per match | 1.1 | 0.52 |
| Won balls, offensive half | 19 | 31 |
| Pressing intensity | 0.24 | 0.23 |
| Pressing efficiency | 0.3 | 0.32 |
| Pressing efficiency, offensive half | 0.27 | 0.3 |
| Entries into the box per match | 11 | 11 |
| Entries into the box against | 17 | 9 |
| Pass completion % | 0.81 | 0.75 |
| Pass completion % under pressure | 0.75 | 0.7 |
| Passes per match | 458 | 417 |
| Passes against per match | 346 | 314 |
| Switches of play per match | 19.6 | 30.2 |
| Long balls per match | 31 | 37 |
| Set pieces | Dynamo Dresden | Bochum |
|---|---|---|
| xG from free kicks | 0 | 0.01 |
| Corners per match | 7.1 | 5.7 |
| Corners against per match | 5.4 | 2.7 |
| xG per corner | 0.03 | 0.06 |
| xGA per corner against | 0.04 | 0.06 |
| First touch, offensive corners % | 0.48 | 0.24 |
| First touch, defensive corners % | 0.38 | 0.75 |
| Other | Dynamo Dresden | Bochum |
|---|---|---|
| Throw-in control | 0.81 | 0.73 |
| The goalkeepers | Tim Schreiber (Dynamo Dresden) | Timo Phil Horn (Bochum) |
|---|---|---|
| Saves | 11 | 5 |
| Save % | 61% | 71% |
| xG prevented | 51% | 69% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Dynamo Dresden a 42% win probability. Full 1X2 picture: Dynamo Dresden 42%, draw 29%, Bochum 29%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 51% and under at 49%.
The probability of both teams scoring is 55% according to the model.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.