- Handicap Analysis
Analyzing 14 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
14 matches
(8 wins,
6 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 25% | 0% | 14.29% |
| -14.5 | 37.5% | 0% | 21.43% |
| -12.5 | 37.5% | 0% | 21.43% |
| -10.5 | 50% | 0% | 28.57% |
| -8.5 | 62.5% | 0% | 35.71% |
| -6.5 | 75% | 0% | 42.86% |
| -4.5 | 75% | 0% | 42.86% |
| -2.5 | 87.5% | 16.67% | 57.14% |
| -0.5 | 100% | 16.67% | 64.29% |
| 0.5 | 100% | 16.67% | 64.29% |
| 2.5 | 100% | 16.67% | 64.29% |
| 4.5 | 100% | 16.67% | 64.29% |
| 6.5 | 100% | 33.33% | 71.43% |
| 8.5 | 100% | 33.33% | 71.43% |
| 10.5 | 100% | 33.33% | 71.43% |
| 12.5 | 100% | 50% | 78.57% |
| 14.5 | 100% | 66.67% | 85.71% |
| 16.5 | 100% | 83.33% | 92.86% |
Handicap Analysis by Patch
Patch 7.06
14 matches
(8 wins,
6 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 25% | 0% | 14.29% |
| -14.5 | 37.5% | 0% | 21.43% |
| -12.5 | 37.5% | 0% | 21.43% |
| -10.5 | 50% | 0% | 28.57% |
| -8.5 | 62.5% | 0% | 35.71% |
| -6.5 | 75% | 0% | 42.86% |
| -4.5 | 75% | 0% | 42.86% |
| -2.5 | 87.5% | 16.67% | 57.14% |
| -0.5 | 100% | 16.67% | 64.29% |
| 0.5 | 100% | 16.67% | 64.29% |
| 2.5 | 100% | 16.67% | 64.29% |
| 4.5 | 100% | 16.67% | 64.29% |
| 6.5 | 100% | 33.33% | 71.43% |
| 8.5 | 100% | 33.33% | 71.43% |
| 10.5 | 100% | 33.33% | 71.43% |
| 12.5 | 100% | 50% | 78.57% |
| 14.5 | 100% | 66.67% | 85.71% |
| 16.5 | 100% | 83.33% | 92.86% |
Overall Handicap Summary (All Matches)
14
Total Matches
8
Total Wins
6
Total Losses
| Handicap | Wins % | Losses % | Total % | Matches Covered |
|---|---|---|---|---|
| -16.5 | 25% | 0% |
14.29%
|
2 |
| -14.5 | 37.5% | 0% |
21.43%
|
3 |
| -12.5 | 37.5% | 0% |
21.43%
|
3 |
| -10.5 | 50% | 0% |
28.57%
|
4 |
| -8.5 | 62.5% | 0% |
35.71%
|
5 |
| -6.5 | 75% | 0% |
42.86%
|
6 |
| -4.5 | 75% | 0% |
42.86%
|
6 |
| -2.5 | 87.5% | 16.67% |
57.14%
|
8 |
| -0.5 | 100% | 16.67% |
64.29%
|
9 |
| 0.5 | 100% | 16.67% |
64.29%
|
9 |
| 2.5 | 100% | 16.67% |
64.29%
|
9 |
| 4.5 | 100% | 16.67% |
64.29%
|
9 |
| 6.5 | 100% | 33.33% |
71.43%
|
10 |
| 8.5 | 100% | 33.33% |
71.43%
|
10 |
| 10.5 | 100% | 33.33% |
71.43%
|
10 |
| 12.5 | 100% | 50% |
78.57%
|
11 |
| 14.5 | 100% | 66.67% |
85.71%
|
12 |
| 16.5 | 100% | 83.33% |
92.86%
|
13 |
Summary
14
Total Matches
1
Leagues Analyzed
1
Patches Analyzed