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FiveM - Detailed Analysis

Comprehensive disruption statistics and trends

Time Range: 16.07.25 - 15.08.25

Total Reports

8
+300%vs. Previous Period

Affected Users

6

Unique Reporters

Avg per Day

0

Average Reports

Peak Time

11:00

Highest Activity

Comparison to Previous Period

Current Period:16.07.2025 - 15.08.2025
Previous Period:16.06.2025 - 16.07.2025

Current Period

8

16.07.25 - 15.08.25

+300%
Previous Period (16.06.25 - 16.07.25)2
Difference+6

Significant increase in disruptions

Comparison to Average

Average Period:15.02.2025 - 15.08.2025

Current (last 30 days)

8

+78%
6-Monats-Durchschnitt (15.02.25 - 15.08.25)5
Abweichung+3

Ungewöhnliche Aktivität erkannt

Weekly Pattern

Weekday Focus

Most disruptions occur during weekdays

Daily Pattern

Morning Peak

Highest activity in the morning hours (6 AM - 12 PM)

Peak Time: 6:00 - 12:00

Trend

Increasing

Disruptions are increasing over time

Trend Analysis

Trend

→ Stable

Average

0

Volatility

1

Hourly Distribution

The hourly distribution shows patterns in disruption reports throughout the day.

Weekday Analysis

Di
2
Mi
3
Do
3

Average disruption reports per weekday based on the last 30 days.

Activity Heatmap

Su
Mo
Tu
We
Th
Fr
Sa
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
Less
More

Shows the intensity of disruption reports by day of week and hour.

Severity Timeline

12.08.202514.08.2025

Minor Disruptions

12.08.2025 - 14.08.2025

8

3 Tage

0

0%

3

100%

0

0%

0

0%

Report Frequency Distribution

Average Interval

7 Std

Median Interval

2 Std

Most Frequent Category

1-3 h

< 5 min
0
5-15 min
0
15-30 min
0
30-60 min
0
1-3 h
4
3-6 h
1
6-12 h
0
12-24 h
2
> 24 h
0

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