Chaos EC - Handicap Analysis
Analyzing 29 matches with kill handicaps from -16.5 to +16.5
How it works: For each match, we simulate how the result would change if we applied kill handicaps ranging from -16.5 to +16.5. A positive handicap helps the losing team, while a negative handicap reduces the winning team's advantage.
Handicap Analysis by League
The International 2019
29 matches
(11 wins,
18 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 18.18% | 0% | 6.9% |
| -14.5 | 18.18% | 0% | 6.9% |
| -12.5 | 36.36% | 0% | 13.79% |
| -10.5 | 45.45% | 0% | 17.24% |
| -8.5 | 45.45% | 0% | 17.24% |
| -6.5 | 72.73% | 0% | 27.59% |
| -4.5 | 81.82% | 0% | 31.03% |
| -2.5 | 90.91% | 0% | 34.48% |
| -0.5 | 90.91% | 0% | 34.48% |
| 0.5 | 90.91% | 0% | 34.48% |
| 2.5 | 90.91% | 5.56% | 37.93% |
| 4.5 | 100% | 5.56% | 41.38% |
| 6.5 | 100% | 5.56% | 41.38% |
| 8.5 | 100% | 11.11% | 44.83% |
| 10.5 | 100% | 11.11% | 44.83% |
| 12.5 | 100% | 16.67% | 48.28% |
| 14.5 | 100% | 27.78% | 55.17% |
| 16.5 | 100% | 44.44% | 65.52% |
Handicap Analysis by Patch
Patch 7.22
29 matches
(11 wins,
18 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 18.18% | 0% | 6.9% |
| -14.5 | 18.18% | 0% | 6.9% |
| -12.5 | 36.36% | 0% | 13.79% |
| -10.5 | 45.45% | 0% | 17.24% |
| -8.5 | 45.45% | 0% | 17.24% |
| -6.5 | 72.73% | 0% | 27.59% |
| -4.5 | 81.82% | 0% | 31.03% |
| -2.5 | 90.91% | 0% | 34.48% |
| -0.5 | 90.91% | 0% | 34.48% |
| 0.5 | 90.91% | 0% | 34.48% |
| 2.5 | 90.91% | 5.56% | 37.93% |
| 4.5 | 100% | 5.56% | 41.38% |
| 6.5 | 100% | 5.56% | 41.38% |
| 8.5 | 100% | 11.11% | 44.83% |
| 10.5 | 100% | 11.11% | 44.83% |
| 12.5 | 100% | 16.67% | 48.28% |
| 14.5 | 100% | 27.78% | 55.17% |
| 16.5 | 100% | 44.44% | 65.52% |
Overall Handicap Summary (All Matches)
29
Total Matches
11
Total Wins
18
Total Losses
| Handicap | Wins % | Losses % | Total % | Matches Covered |
|---|---|---|---|---|
| -16.5 | 18.18% | 0% |
6.9%
|
2 |
| -14.5 | 18.18% | 0% |
6.9%
|
2 |
| -12.5 | 36.36% | 0% |
13.79%
|
4 |
| -10.5 | 45.45% | 0% |
17.24%
|
5 |
| -8.5 | 45.45% | 0% |
17.24%
|
5 |
| -6.5 | 72.73% | 0% |
27.59%
|
8 |
| -4.5 | 81.82% | 0% |
31.03%
|
9 |
| -2.5 | 90.91% | 0% |
34.48%
|
10 |
| -0.5 | 90.91% | 0% |
34.48%
|
10 |
| 0.5 | 90.91% | 0% |
34.48%
|
10 |
| 2.5 | 90.91% | 5.56% |
37.93%
|
11 |
| 4.5 | 100% | 5.56% |
41.38%
|
12 |
| 6.5 | 100% | 5.56% |
41.38%
|
12 |
| 8.5 | 100% | 11.11% |
44.83%
|
13 |
| 10.5 | 100% | 11.11% |
44.83%
|
13 |
| 12.5 | 100% | 16.67% |
48.28%
|
14 |
| 14.5 | 100% | 27.78% |
55.17%
|
16 |
| 16.5 | 100% | 44.44% |
65.52%
|
19 |
Summary
29
Total Matches
1
Leagues Analyzed
1
Patches Analyzed