Сумма Фортуны Lottery
Сумма Фортуны Z-Score — Standardized Deviation
Сумма Фортуны: how much each number deviates from the expected value
Z-Score analysis Z-Score shows how much the observed frequency of each Сумма Фортуны lottery number deviates from the expected value in units of standard deviation. A positive Z-Score means the number appears more often than expected, a negative one means less often.
Z-Score analysis of 20 draws for Сумма Фортуны: numbers with the highest deviation — Field 6: 1 (Z=2.2).Frequency analysis →Pearson criterion →
Analysis based on 20 draws from to
0
Anomalies (|Z| > 3)
0
Deviations (|Z| > 2)
1
Hottest (Z=1.6)
4
Coldest (Z=-2)
0
Anomalies (|Z| > 3)
0
Deviations (|Z| > 2)
5
Hottest (Z=1)
1
Coldest (Z=-1.4)
0
Anomalies (|Z| > 3)
0
Deviations (|Z| > 2)
6
Hottest (Z=1)
1
Coldest (Z=-0.8)
0
Anomalies (|Z| > 3)
0
Deviations (|Z| > 2)
4
Hottest (Z=1.6)
5
Coldest (Z=-1.4)
0
Anomalies (|Z| > 3)
0
Deviations (|Z| > 2)
6
Hottest (Z=1.6)
2
Coldest (Z=-1.4)
0
Anomalies (|Z| > 3)
1
Deviations (|Z| > 2)
1
Hottest (Z=2.2)
5
Coldest (Z=-1.4)
Columns
Z-Score for field 1
Standardized deviation of frequency from expected value
Added to generator 0 / 6
Selected 0
| Ball added | Ball | Z-Score | Frequency | Status |
|---|---|---|---|---|
Add | 1.6 | 6 | Notable | |
Add | 1.6 | 6 | Notable | |
Add | 0.4 | 4 | Normal | |
Add | 0.4 | 4 | Normal | |
Add | -2 | 0 | Notable | |
Add | -2 | 0 | Notable |
Z-Score Interpretation Scale
|Z| < 1.5 — Normal
|Z| 1.5–2 — Notable
|Z| 2–3 — Deviation
|Z| > 3 — Anomaly
Z-Score for field 2
Standardized deviation of frequency from expected value
Added to generator 0 / 6
Selected 0
| Ball added | Ball | Z-Score | Frequency | Status |
|---|---|---|---|---|
Add | 1 | 5 | Normal | |
Add | 0.4 | 4 | Normal | |
Add | 0.4 | 4 | Normal | |
Add | -0.2 | 3 | Normal | |
Add | -0.2 | 3 | Normal | |
Add | -1.4 | 1 | Normal |
Z-Score Interpretation Scale
|Z| < 1.5 — Normal
|Z| 1.5–2 — Notable
|Z| 2–3 — Deviation
|Z| > 3 — Anomaly
Z-Score for field 3
Standardized deviation of frequency from expected value
Added to generator 0 / 6
Selected 0
| Ball added | Ball | Z-Score | Frequency | Status |
|---|---|---|---|---|
Add | 1 | 5 | Normal | |
Add | 0.4 | 4 | Normal | |
Add | -0.2 | 3 | Normal | |
Add | -0.2 | 3 | Normal | |
Add | -0.2 | 3 | Normal | |
Add | -0.8 | 2 | Normal |
Z-Score Interpretation Scale
|Z| < 1.5 — Normal
|Z| 1.5–2 — Notable
|Z| 2–3 — Deviation
|Z| > 3 — Anomaly
Z-Score for field 4
Standardized deviation of frequency from expected value
Added to generator 0 / 6
Selected 0
| Ball added | Ball | Z-Score | Frequency | Status |
|---|---|---|---|---|
Add | 1.6 | 6 | Notable | |
Add | 0.4 | 4 | Normal | |
Add | -0.2 | 3 | Normal | |
Add | -0.2 | 3 | Normal | |
Add | -0.2 | 3 | Normal | |
Add | -1.4 | 1 | Normal |
Z-Score Interpretation Scale
|Z| < 1.5 — Normal
|Z| 1.5–2 — Notable
|Z| 2–3 — Deviation
|Z| > 3 — Anomaly
Z-Score for field 5
Standardized deviation of frequency from expected value
Added to generator 0 / 6
Selected 0
| Ball added | Ball | Z-Score | Frequency | Status |
|---|---|---|---|---|
Add | 1.6 | 6 | Notable | |
Add | 1 | 5 | Normal | |
Add | 0.4 | 4 | Normal | |
Add | -0.2 | 3 | Normal | |
Add | -1.4 | 1 | Normal | |
Add | -1.4 | 1 | Normal |
Z-Score Interpretation Scale
|Z| < 1.5 — Normal
|Z| 1.5–2 — Notable
|Z| 2–3 — Deviation
|Z| > 3 — Anomaly
Z-Score for field 6
Standardized deviation of frequency from expected value
Added to generator 0 / 6
Selected 0
| Ball added | Ball | Z-Score | Frequency | Status |
|---|---|---|---|---|
Add | 2.2 | 7 | Deviation | |
Add | 1.6 | 6 | Notable | |
Add | -0.2 | 3 | Normal | |
Add | -0.8 | 2 | Normal | |
Add | -1.4 | 1 | Normal | |
Add | -1.4 | 1 | Normal |
Z-Score Interpretation Scale
|Z| < 1.5 — Normal
|Z| 1.5–2 — Notable
|Z| 2–3 — Deviation
|Z| > 3 — Anomaly
Z-Score Combination Generator
Generate combinations from numbers with the greatest deviation
Selected numbers for generator
0
G on keyboard — generate combination
What is Z-Score?
Mathematical foundations of the method
Z-Score (standardized deviation) is a statistical measure showing how many standard deviations an observed value differs from the expected value.
Formula
Z = (f - E) / σ
- f — observed frequency of the number
- E = n × p — expected frequency (n — number of draws, p = take/totalBalls)
- σ = √(n × p × (1-p)) — standard deviation
Interpretation
In a fair lottery, the Z-Score of all numbers should approach 0 with a large number of draws. Values |Z| > 2 occur for ~5% of numbers, |Z| > 3 — for ~0.3%.