Akte FC Augsburg
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FC Augsburg

Prediction Intelligence
FC Augsburg

Live data for professional portfolio management, trading and predictions.

Position
9.
Points
43
Goal diff
-12
Akte FC Augsburg — Club-Dossier FC Augsburg
Intelligence
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At a glance

Augsburg sit 9th after matchday 33 with 43 points (12W 7D 14L, goal diff -12). Last 5 form: DWDWW (11/15 pts).

Bundesliga Table

Bundesliga table matchday 33
# Club P W D L GF GA GD Pts
1 Bayern 33 27 5 1 117 35 +82 86
2 BVB 33 21 7 5 68 34 +34 70
3 Leipzig 33 20 5 8 65 43 +22 65
4 Stuttgart 33 18 7 8 69 47 +22 61
5 Hoffenheim 33 18 7 8 65 48 +17 61
6 Leverkusen 33 17 7 9 67 46 +21 58
7 Freiburg 32 12 8 12 45 53 -8 44
8 Eintracht 33 11 10 12 59 63 -4 43
9 Augsburg 33 12 7 14 45 57 -12 43
10 Mainz 32 9 10 13 41 50 -9 37
11 Gladbach 33 8 11 14 38 53 -15 35
12 HSV 32 8 10 14 36 51 -15 34
13 Union 32 8 9 15 37 57 -20 33
14 Koeln 32 7 11 14 47 55 -8 32
15 Werder 33 8 8 17 37 58 -21 32
16 Wolfsburg 33 6 8 19 42 68 -26 26
17 St. Pauli 33 6 8 19 28 57 -29 26
18 Heidenheim 32 5 8 19 38 69 -31 23

Top Scorers

Bundesliga Top Scorers Season 25646

  1. 1
    Harry Kane
    Harry Kane
    Bayern · 32
    33 Goals
  2. 2
    Deniz Undav
    Deniz Undav
    Stuttgart · 29
    19 Goals
  3. 3
    Patrik Schick
    Patrik Schick
    Leverkusen · 30
    16 Goals
  4. 4
    Serhou Guirassy
    Serhou Guirassy
    BVB · 30
    16 Goals
  5. 5
    Michael Olise
    Michael Olise
    Bayern · 24
    15 Goals
# Player Club Goals
6 Luis Díaz Bayern 15
7 Andrej Kramaric Hoffenheim 14
8 Christoph Baumgartner Leipzig 13
9 Yan Diomande Leipzig 12
10 Said El Mala Koeln 12

Pinnacle Oracle

Form & Momentum

Augsburg — Form & Home/Away

Last 5
DWDWW
Home
26 Pts
Record: 7-5-5 Goals: 25:28
Away
17 Pts
Record: 5-2-9 Goals: 20:29

Last result: Win. Last 5 form: D-W-D-W-W.

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).

Assists & Card Ranking

Bundesliga Top Assists

  1. 1
    Michael Olise
    Michael Olise
    Bayern · 24
    19 Assists
  2. 2
    Julian Ryerson
    Julian Ryerson
    BVB · 28
    15 Assists
  3. 3
    Luis Díaz
    Luis Díaz
    Bayern · 29
    13 Assists
  4. 4
    Jamie Leweling
    Jamie Leweling
    Stuttgart · 25
    10 Assists
  5. 5
    Christoph Baumgartner
    Christoph Baumgartner
    Leipzig · 26
    9 Assists
# Player Club Assists
6 Farès Chaïbi Eintracht 9
7 Bazoumana Touré Hoffenheim 9
8 Konrad Laimer Bayern 9
9 Andrej Ilic Union 9
10 Christian Eriksen Wolfsburg 8

Bundesliga Card Ranking (Yellow + Red×3)

  1. 1
    Dominik Kohr
    Dominik Kohr
    Mainz · 32
    10 2
  2. 2
    Eric Martel
    Eric Martel
    Koeln · 24
    11 1
  3. 3
    Niklas Stark
    Niklas Stark
    Werder · 31
    6 2
  4. 4
    Marco Friedl
    Marco Friedl
    Werder · 28
    9 1
  5. 5
    Rocco Reitz
    Rocco Reitz
    Gladbach · 23
    8 1
# Player Club Y R Total
6 Nicolai Remberg HSV 11 0 11
7 Johan Manzambi Freiburg 4 2 6
8 Miro Muheim HSV 7 1 8
9 Moritz Jenz Wolfsburg 7 1 8
10 Wouter Burger Hoffenheim 7 1 8

Statistical Splits BETA

What actually moves Bayern's result — and what's myth. Bootstrap confidence intervals from 66 matches of the Kompany-Ära.

Split Group A Group B Δ ppg 95% CI p-value Significance
Home games vs. away games Home 1.39 ppg · n=33 Away 1.12 ppg · n=33 +0.27 [-0.33, 0.91] 0.40 ⚪
Versus top-6 opponents vs. rest of the league Vs top 6 0.79 ppg · n=24 Vs rest 1.52 ppg · n=42 -0.73 [-1.33, -0.10] 0.02 🟢
With vs. without Dimitrios Giannoulis in the starting XI With Dimitrios Giannoulis 1.25 ppg · n=55 Without Dimitrios Giannoulis 1.27 ppg · n=11 -0.02 [-0.91, 0.84] 0.99 🟡
With vs. without Finn Dahmen in the starting XI With Finn Dahmen 1.31 ppg · n=51 Without Finn Dahmen 1.07 ppg · n=15 +0.25 [-0.48, 0.93] 0.51 ⚪
With vs. without Alexis Claude-Maurice in the starting XI With Alexis Claude-Maurice 1.36 ppg · n=50 Without Alexis Claude-Maurice 0.94 ppg · n=16 +0.42 [-0.31, 1.11] 0.25 ⚪
With vs. without Kristijan Jakic in the starting XI With Kristijan Jakic 1.23 ppg · n=44 Without Kristijan Jakic 1.32 ppg · n=22 -0.09 [-0.77, 0.57] 0.81 ⚪
With vs. without Chrislain Matsima in the starting XI With Chrislain Matsima 1.21 ppg · n=43 Without Chrislain Matsima 1.35 ppg · n=23 -0.14 [-0.79, 0.52] 0.69 ⚪
Heavy week (after UCL/intl. break) vs. normal week Heavy week 0.00 ppg · n=0 Normal week 1.26 ppg · n=66 -1.26 — — ⬜
After UCL midweek vs. without UCL before After UCL 0.00 ppg · n=0 No UCL 1.26 ppg · n=66 -1.26 — — ⬜
Full strength (0 absences) vs. 2+ key-player absences 0 absences 1.12 ppg · n=17 2+ absences 1.11 ppg · n=26 +0.00 [-0.80, 0.80] 0.99 ⚪

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: 1.524 ppg (Δ -0.732).

Prediction relevance: Adjustment -24.4pp für Top-6-Gegner.

Untested

"Midweek UCL games cost points"

Indikativ: Nach CL 0 ppg, ohne CL 1.258 ppg.

Prediction relevance: Kein klares Adjustment.

Refuted

"Home games are different"

Heim: 1.394 ppg · Auswärts: 1.121 ppg (Δ 0.273).

Prediction relevance: Heimvorteil ist nicht überdurchschnittlich.

Data Analysis

Auto-Generated Variante B · Spieltag 33

Relegation zone matchday 33: Wolfsburg (16th, 26 pts), St. Pauli (17th, 26 pts), Heidenheim (18th, 23 pts). Augsburg are 17 points clear of the relegation place. Points per game: 1.30.

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?
9th with 43 points after matchday 33 (12W 7D 14L, goal diff -12).
Who is the Bundesliga top scorer?
Harry Kane (Bayern) with 33 goals in the 25646 season.
Will Augsburg be relegated?
Augsburg are currently 17 points clear of the relegation places.

Related

The data shows the status quo. What does this mean for the season?