Akte 1. FC Köln
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1. FC Köln

Prediction Intelligence
1. FC Köln

Live data for professional portfolio management, trading and predictions.

Position
15.
Points
0
Goal diff
0
Akte Effzeh — Club-Dossier 1. FC Köln
Intelligence
Deutsch
At a glance

Koeln sit 15th after matchday 0 with 0 points (0W 0D 0L, goal diff 0). Last 5 form: (0/15 pts).

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

Form & Momentum

Koeln — 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 34 matches of the Kompany-Ära.

Split Group A Group B Δ ppg 95% CI p-value Significance
Home games vs. away games Home 1.12 ppg · n=17 Away 0.77 ppg · n=17 +0.35 [-0.41, 1.12] 0.41 ⚪
Versus top-6 opponents vs. rest of the league Vs top 6 0.33 ppg · n=12 Vs rest 1.27 ppg · n=22 -0.94 [-1.57, -0.23] 0.01 🟡
With vs. without Marvin Schwäbe in the starting XI With Marvin Schwäbe 0.94 ppg · n=34 Without Marvin Schwäbe 0.00 ppg · n=0 +0.94 — — ⬜
With vs. without Jakub Kamiński in the starting XI With Jakub Kamiński 0.94 ppg · n=34 Without Jakub Kamiński 0.00 ppg · n=0 +0.94 — — ⬜
With vs. without Eric Martel in the starting XI With Eric Martel 1.03 ppg · n=30 Without Eric Martel 0.25 ppg · n=4 +0.78 [0.15, 1.37] 0.02 ⬜
With vs. without Sebastian Sebulonsen in the starting XI With Sebastian Sebulonsen 0.96 ppg · n=28 Without Sebastian Sebulonsen 0.83 ppg · n=6 +0.13 [-0.91, 0.98] 0.76 🟡
With vs. without Kristoffer Lund in the starting XI With Kristoffer Lund 0.96 ppg · n=26 Without Kristoffer Lund 0.88 ppg · n=8 +0.09 [-0.75, 0.84] 0.81 🟡
Heavy week (after UCL/intl. break) vs. normal week Heavy week 0.00 ppg · n=0 Normal week 0.94 ppg · n=34 -0.94 — — ⬜
After UCL midweek vs. without UCL before After UCL 0.00 ppg · n=0 No UCL 0.94 ppg · n=34 -0.94 — — ⬜
Full strength (0 absences) vs. 2+ key-player absences 0 absences 1.19 ppg · n=16 2+ absences 0.00 ppg · n=0 +1.19 — — ⬜

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.

Indicative

"Bayern struggles against top-6 opponents"

Gegen Top 6: 0.333 ppg · gegen Rest: 1.273 ppg (Δ -0.94).

Prediction relevance: Top-6-Gegner haben keinen messbaren Sondereffekt.

Untested

"Midweek UCL games cost points"

Indikativ: Nach CL 0 ppg, ohne CL 0.941 ppg.

Prediction relevance: Kein klares Adjustment.

Refuted

"Home games are different"

Heim: 1.118 ppg · Auswärts: 0.765 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. Koeln are 15th with 0 points. Last 5 form: .

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 1. FC Köln 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 Koeln currently stand?
15th with 0 points after matchday 0 (0W 0D 0L, goal diff 0).
Will Koeln be relegated?
Koeln are currently 0 points clear of the relegation places.

Related

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