Team Singularity - Handicap Analysis
Analyzing 15 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 2017
15 matches
(9 wins,
6 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 44.44% | 0% | 26.67% |
| -14.5 | 55.56% | 0% | 33.33% |
| -12.5 | 77.78% | 0% | 46.67% |
| -10.5 | 77.78% | 0% | 46.67% |
| -8.5 | 77.78% | 0% | 46.67% |
| -6.5 | 77.78% | 0% | 46.67% |
| -4.5 | 77.78% | 0% | 46.67% |
| -2.5 | 77.78% | 0% | 46.67% |
| -0.5 | 88.89% | 16.67% | 60% |
| 0.5 | 100% | 16.67% | 66.67% |
| 2.5 | 100% | 16.67% | 66.67% |
| 4.5 | 100% | 16.67% | 66.67% |
| 6.5 | 100% | 16.67% | 66.67% |
| 8.5 | 100% | 16.67% | 66.67% |
| 10.5 | 100% | 16.67% | 66.67% |
| 12.5 | 100% | 33.33% | 73.33% |
| 14.5 | 100% | 33.33% | 73.33% |
| 16.5 | 100% | 33.33% | 73.33% |
Handicap Analysis by Patch
Patch 7.06
15 matches
(9 wins,
6 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 44.44% | 0% | 26.67% |
| -14.5 | 55.56% | 0% | 33.33% |
| -12.5 | 77.78% | 0% | 46.67% |
| -10.5 | 77.78% | 0% | 46.67% |
| -8.5 | 77.78% | 0% | 46.67% |
| -6.5 | 77.78% | 0% | 46.67% |
| -4.5 | 77.78% | 0% | 46.67% |
| -2.5 | 77.78% | 0% | 46.67% |
| -0.5 | 88.89% | 16.67% | 60% |
| 0.5 | 100% | 16.67% | 66.67% |
| 2.5 | 100% | 16.67% | 66.67% |
| 4.5 | 100% | 16.67% | 66.67% |
| 6.5 | 100% | 16.67% | 66.67% |
| 8.5 | 100% | 16.67% | 66.67% |
| 10.5 | 100% | 16.67% | 66.67% |
| 12.5 | 100% | 33.33% | 73.33% |
| 14.5 | 100% | 33.33% | 73.33% |
| 16.5 | 100% | 33.33% | 73.33% |
Overall Handicap Summary (All Matches)
15
Total Matches
9
Total Wins
6
Total Losses
| Handicap | Wins % | Losses % | Total % | Matches Covered |
|---|---|---|---|---|
| -16.5 | 44.44% | 0% |
26.67%
|
4 |
| -14.5 | 55.56% | 0% |
33.33%
|
5 |
| -12.5 | 77.78% | 0% |
46.67%
|
7 |
| -10.5 | 77.78% | 0% |
46.67%
|
7 |
| -8.5 | 77.78% | 0% |
46.67%
|
7 |
| -6.5 | 77.78% | 0% |
46.67%
|
7 |
| -4.5 | 77.78% | 0% |
46.67%
|
7 |
| -2.5 | 77.78% | 0% |
46.67%
|
7 |
| -0.5 | 88.89% | 16.67% |
60%
|
9 |
| 0.5 | 100% | 16.67% |
66.67%
|
10 |
| 2.5 | 100% | 16.67% |
66.67%
|
10 |
| 4.5 | 100% | 16.67% |
66.67%
|
10 |
| 6.5 | 100% | 16.67% |
66.67%
|
10 |
| 8.5 | 100% | 16.67% |
66.67%
|
10 |
| 10.5 | 100% | 16.67% |
66.67%
|
10 |
| 12.5 | 100% | 33.33% |
73.33%
|
11 |
| 14.5 | 100% | 33.33% |
73.33%
|
11 |
| 16.5 | 100% | 33.33% |
73.33%
|
11 |
Summary
15
Total Matches
1
Leagues Analyzed
1
Patches Analyzed