Akte FC Augsburg
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Intelligence

FC Augsburg

Prediction Intelligence
FC Augsburg

Live data for professional portfolio management, trading and predictions.

Position
4.
Points
0
Goal diff
0
Next match
Augsburg vs FC Schalke 04
Akte FC Augsburg — Club-Dossier FC Augsburg
Intelligence
At a glance

Augsburg sit 4th after matchday 0 with 0 points (0W 0D 0L, goal diff 0). Last 5 form: (0/15 pts). Next opponent: FC Schalke 04.

Bundesliga Table

Bundesliga table matchday 0
# Club P W D L GF GA GD Pts
1 Schalke 04 0 0 0 0 0 0 0 0
2 BVB 0 0 0 0 0 0 0 0
3 Werder 0 0 0 0 0 0 0 0
4 Augsburg 0 0 0 0 0 0 0 0
5 Leipzig 0 0 0 0 0 0 0 0
6 Eintracht 0 0 0 0 0 0 0 0
7 Bayern 0 0 0 0 0 0 0 0
8 Gladbach 0 0 0 0 0 0 0 0
9 Mainz 0 0 0 0 0 0 0 0
10 Union 0 0 0 0 0 0 0 0
11 Paderborn 0 0 0 0 0 0 0 0
12 HSV 0 0 0 0 0 0 0 0
13 Hoffenheim 0 0 0 0 0 0 0 0
14 Stuttgart 0 0 0 0 0 0 0 0
15 Koeln 0 0 0 0 0 0 0 0
16 Leverkusen 0 0 0 0 0 0 0 0
17 Freiburg 0 0 0 0 0 0 0 0
18 Elversberg 0 0 0 0 0 0 0 0

Top Scorers

Pinnacle Oracle

Augsburg FC Schalke 04
Home 2.08
Draw 3.70
Away 3.22
Source: Pinnacle Updated:
Augsburg FC Schalke 04
-- Days
-- Hrs
-- Min
Kickoff
Venue
WWK Arena
Competition
Bundesliga

Form & Momentum

Augsburg — Form & Home/Away

Last 5
Home
0 Pts
Record: 0-0-0 Goals: 0:0
Away
0 Pts
Record: 0-0-0 Goals: 0:0

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).

Statistical Splits BETA

What actually moves Bayern's result — and what's myth. Bootstrap confidence intervals from 68 matches of the Kompany-Ära.

Split Group A Group B Δ ppg 95% CI p-value Significance
Home games vs. away games Home 1.44 ppg · n=34 Away 1.09 ppg · n=34 +0.35 [-0.27, 0.97] 0.27
Versus top-6 opponents vs. rest of the league Vs top 6 0.79 ppg · n=24 Vs rest 1.52 ppg · n=44 -0.73 [-1.32, -0.10] 0.03 🟢
With vs. without Dimitrios Giannoulis in the starting XI With Dimitrios Giannoulis 1.29 ppg · n=56 Without Dimitrios Giannoulis 1.17 ppg · n=12 +0.12 [-0.73, 0.94] 0.75 🟡
With vs. without Finn Dahmen in the starting XI With Finn Dahmen 1.32 ppg · n=53 Without Finn Dahmen 1.07 ppg · n=15 +0.25 [-0.49, 0.95] 0.50
With vs. without Alexis Claude-Maurice in the starting XI With Alexis Claude-Maurice 1.36 ppg · n=50 Without Alexis Claude-Maurice 1.00 ppg · n=18 +0.36 [-0.35, 1.04] 0.30
With vs. without Kristijan Jakic in the starting XI With Kristijan Jakic 1.27 ppg · n=45 Without Kristijan Jakic 1.26 ppg · n=23 +0.01 [-0.66, 0.67] 0.97
With vs. without Chrislain Matsima in the starting XI With Chrislain Matsima 1.22 ppg · n=45 Without Chrislain Matsima 1.35 ppg · n=23 -0.13 [-0.78, 0.52] 0.73
Heavy week (after UCL/intl. break) vs. normal week Heavy week 0.00 ppg · n=0 Normal week 1.26 ppg · n=68 -1.26
After UCL midweek vs. without UCL before After UCL 0.00 ppg · n=0 No UCL 1.26 ppg · n=68 -1.26
Full strength (0 absences) vs. 2+ key-player absences 0 absences 1.12 ppg · n=17 2+ absences 1.07 ppg · n=27 +0.04 [-0.72, 0.83] 0.92

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

Myth Check BETA

What fans believe — and what the data says. Every myth is tested against real match data.

Confirmed

"Bayern struggles against top-6 opponents"

Gegen Top 6: 0.792 ppg · gegen Rest: 1.523 ppg (Δ -0.731).

Prediction relevance: Adjustment -24.37pp für Top-6-Gegner.

Untested

"Midweek UCL games cost points"

Indikativ: Nach CL 0 ppg, ohne CL 1.265 ppg.

Prediction relevance: Kein klares Adjustment.

Refuted

"Home games are different"

Heim: 1.441 ppg · Auswärts: 1.088 ppg (Δ 0.353).

Prediction relevance: Heimvorteil ist nicht überdurchschnittlich.

Data Analysis

Auto-Generated Variante A

Bundesliga matchday 0: Schalke 04 lead with 0 points (0W 0D 0L, goal diff 0). Lead over BVB: 0 points. Augsburg are 4th with 0 points. Last 5 form: . Next opponent: FC Schalke 04.

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.

What the data doesn't say

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 FC Augsburg 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.

Frequently Asked

Where do Augsburg currently stand?
4th with 0 points after matchday 0 (0W 0D 0L, goal diff 0).
Who is Augsburg's next opponent?
FC Schalke 04, kickoff on 2026-08-30.
Will Augsburg be relegated?
Augsburg are currently 0 points clear of the relegation places.