"Bayern struggles against top-6 opponents"
Gegen Top 6: 0.889 ppg · gegen Rest: 1.489 ppg (Δ -0.6).
Prediction relevance: Top-6-Gegner haben keinen messbaren Sondereffekt.
TSG 1899 Hoffenheim
Live data for professional portfolio management, trading and predictions.

Hoffenheim sit 6th after matchday 30 with 51 points (15W 6D 8L, goal diff +14). Last 5 form: WDLLD (5/15 pts). Next opponent: BVB (2th).
Last result: Draw. Last 5 form: W-D-L-L-D.
The form of the last five matches is the most important leading indicator for short-term bets. A team on a three-match win streak is significantly underpriced when the odds movement hasn't yet caught up with the momentum. The Pinnacle Oracle weights this form at roughly 30 percent against table position (40 percent), home/away splits (20 percent) and opponent strength (10 percent).
Bundesliga Top Assists
| # | Player | Club | Assists |
|---|---|---|---|
| 6 | Andrej Ilic | Union | 8 |
| 7 | Bazoumana Touré | Hoffenheim | 8 |
| 8 | Jamie Leweling | Stuttgart | 8 |
| 9 | Alejandro Grimaldo | Leverkusen | 7 |
| 10 | Fisnik Asllani | Hoffenheim | 7 |
Bundesliga Card Ranking (Yellow + Red×3)
| # | Player | Club | Y | R | Total |
|---|---|---|---|---|---|
| 6 | Moritz Jenz | Wolfsburg | 7 | 1 | 8 |
| 7 | Rocco Reitz | Gladbach | 7 | 1 | 8 |
| 8 | Nicolai Remberg | HSV | 10 | 0 | 10 |
| 9 | Fábio Vieira | HSV | 3 | 2 | 5 |
| 10 | Miro Muheim | HSV | 6 | 1 | 7 |
What actually moves Bayern's result — and what's myth. Bootstrap confidence intervals from 63 matches of the Kompany-Ära.
| Split | Group A | Group B | Δ ppg | 95% CI | p-value | Significance |
|---|---|---|---|---|---|---|
| Home games vs. away games | Home | Away | +0.07 | [-0.57, 0.71] | 0.81 | ⚪ |
| Versus top-6 opponents vs. rest of the league | Vs top 6 | Vs rest | -0.60 | [-1.24, 0.11] | 0.10 | 🟡 |
| With vs. without Oliver Baumann in the starting XI | With Oliver Baumann | Without Oliver Baumann | +0.35 | [-0.60, 1.13] | 0.44 | 🟡 |
| With vs. without Andrej Kramarić in the starting XI | With Andrej Kramarić | Without Andrej Kramarić | +0.73 | [-0.14, 1.47] | 0.10 | 🟡 |
| With vs. without Alexander Prass in the starting XI | With Alexander Prass | Without Alexander Prass | -0.18 | [-0.81, 0.45] | 0.58 | ⚪ |
| With vs. without Bazoumana Touré in the starting XI | With Bazoumana Touré | Without Bazoumana Touré | +0.20 | [-0.45, 0.84] | 0.54 | ⚪ |
| With vs. without Tom Bischof in the starting XI | With Tom Bischof | Without Tom Bischof | -0.67 | [-1.28, -0.06] | 0.03 | 🟢 |
| Heavy week (after UCL/intl. break) vs. normal week | Heavy week | Normal week | -1.32 | — | — | ⬜ |
| After UCL midweek vs. without UCL before | After UCL | No UCL | -1.32 | — | — | ⬜ |
| Full strength (0 absences) vs. 2+ key-player absences | 0 absences | 2+ absences | -1.43 | — | — | ⬜ |
Reading: 🟢 statistically significant · 🟡 indicative (sample or effect too small) · ⚪ no effect detectable · ⬜ untested
ppg = points per game (3 for a win, 1 for a draw, 0 for a loss). Δ ppg = difference in ppg between the two groups. 95% CI = bootstrap confidence interval (10,000 resamples). p-value < 0.05 = statistically significant at n ≥ 20.
Methodology: Single-Regime-Analyse (nur Kompany-Ära). xG fehlt im Plan und ist nicht enthalten. Bootstrap-CIs statt parametrischer Tests.
Not in dataset: xG, PPDA, Distance Covered
What fans believe — and what the data says. Every myth is tested against real match data.
Gegen Top 6: 0.889 ppg · gegen Rest: 1.489 ppg (Δ -0.6).
Prediction relevance: Top-6-Gegner haben keinen messbaren Sondereffekt.
Indikativ: Nach CL 0 ppg, ohne CL 1.317 ppg.
Prediction relevance: Kein klares Adjustment.
Heim: 1.355 ppg · Auswärts: 1.281 ppg (Δ 0.074).
Prediction relevance: Heimvorteil ist nicht überdurchschnittlich.
Champions League places after matchday 30: Bayern (76), BVB (64), Stuttgart (56), Leipzig (56). Hoffenheim sit 5 points behind 4th. Europa League places: Leverkusen (52), Hoffenheim (51).
This analysis rotates with every matchday through eight data-driven templates: league leadership, relegation battle, Champions League race, home/away splits, form trends, attack/defence, factual summary and overall view. Every statement is grounded in SportsMonks and Pinnacle data — no speculation, no hallucination.
Table, form and odds show the status quo. They say nothing about whether a coach is on the verge of being sacked, a key player is injured, or the board is internally under pressure. This is exactly where the Predictions page comes in: there season markets (Polymarket), transfer rumours and schedule strength feed into the assessment — factors that don't show up in any standard statistic.
The TSG 1899 Hoffenheim File in turn provides the historical context: which crises has the club survived, which not. Anyone moving money on Bundesliga markets needs all three layers — hard stats, forward markets and institutional memory.
The data shows the status quo. What does this mean for the season?