- Handicap Analysis
Analyzing 37 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 2016
37 matches
(18 wins,
19 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 33.33% | 0% | 16.22% |
| -14.5 | 38.89% | 0% | 18.92% |
| -12.5 | 44.44% | 0% | 21.62% |
| -10.5 | 55.56% | 0% | 27.03% |
| -8.5 | 72.22% | 0% | 35.14% |
| -6.5 | 83.33% | 0% | 40.54% |
| -4.5 | 94.44% | 0% | 45.95% |
| -2.5 | 94.44% | 5.26% | 48.65% |
| -0.5 | 100% | 5.26% | 51.35% |
| 0.5 | 100% | 5.26% | 51.35% |
| 2.5 | 100% | 5.26% | 51.35% |
| 4.5 | 100% | 21.05% | 59.46% |
| 6.5 | 100% | 26.32% | 62.16% |
| 8.5 | 100% | 36.84% | 67.57% |
| 10.5 | 100% | 52.63% | 75.68% |
| 12.5 | 100% | 57.89% | 78.38% |
| 14.5 | 100% | 73.68% | 86.49% |
| 16.5 | 100% | 84.21% | 91.89% |
Handicap Analysis by Patch
Patch 6.88
37 matches
(18 wins,
19 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 33.33% | 0% | 16.22% |
| -14.5 | 38.89% | 0% | 18.92% |
| -12.5 | 44.44% | 0% | 21.62% |
| -10.5 | 55.56% | 0% | 27.03% |
| -8.5 | 72.22% | 0% | 35.14% |
| -6.5 | 83.33% | 0% | 40.54% |
| -4.5 | 94.44% | 0% | 45.95% |
| -2.5 | 94.44% | 5.26% | 48.65% |
| -0.5 | 100% | 5.26% | 51.35% |
| 0.5 | 100% | 5.26% | 51.35% |
| 2.5 | 100% | 5.26% | 51.35% |
| 4.5 | 100% | 21.05% | 59.46% |
| 6.5 | 100% | 26.32% | 62.16% |
| 8.5 | 100% | 36.84% | 67.57% |
| 10.5 | 100% | 52.63% | 75.68% |
| 12.5 | 100% | 57.89% | 78.38% |
| 14.5 | 100% | 73.68% | 86.49% |
| 16.5 | 100% | 84.21% | 91.89% |
Overall Handicap Summary (All Matches)
37
Total Matches
18
Total Wins
19
Total Losses
| Handicap | Wins % | Losses % | Total % | Matches Covered |
|---|---|---|---|---|
| -16.5 | 33.33% | 0% |
16.22%
|
6 |
| -14.5 | 38.89% | 0% |
18.92%
|
7 |
| -12.5 | 44.44% | 0% |
21.62%
|
8 |
| -10.5 | 55.56% | 0% |
27.03%
|
10 |
| -8.5 | 72.22% | 0% |
35.14%
|
13 |
| -6.5 | 83.33% | 0% |
40.54%
|
15 |
| -4.5 | 94.44% | 0% |
45.95%
|
17 |
| -2.5 | 94.44% | 5.26% |
48.65%
|
18 |
| -0.5 | 100% | 5.26% |
51.35%
|
19 |
| 0.5 | 100% | 5.26% |
51.35%
|
19 |
| 2.5 | 100% | 5.26% |
51.35%
|
19 |
| 4.5 | 100% | 21.05% |
59.46%
|
22 |
| 6.5 | 100% | 26.32% |
62.16%
|
23 |
| 8.5 | 100% | 36.84% |
67.57%
|
25 |
| 10.5 | 100% | 52.63% |
75.68%
|
28 |
| 12.5 | 100% | 57.89% |
78.38%
|
29 |
| 14.5 | 100% | 73.68% |
86.49%
|
32 |
| 16.5 | 100% | 84.21% |
91.89%
|
34 |
Summary
37
Total Matches
1
Leagues Analyzed
1
Patches Analyzed