White Fries Gaming - Handicap Analysis
Analyzing 13 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
13 matches
(4 wins,
9 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 25% | 22.22% | 23.08% |
| -14.5 | 75% | 22.22% | 38.46% |
| -12.5 | 75% | 22.22% | 38.46% |
| -10.5 | 75% | 22.22% | 38.46% |
| -8.5 | 75% | 22.22% | 38.46% |
| -6.5 | 100% | 22.22% | 46.15% |
| -4.5 | 100% | 22.22% | 46.15% |
| -2.5 | 100% | 33.33% | 53.85% |
| -0.5 | 100% | 33.33% | 53.85% |
| 0.5 | 100% | 33.33% | 53.85% |
| 2.5 | 100% | 44.44% | 61.54% |
| 4.5 | 100% | 55.56% | 69.23% |
| 6.5 | 100% | 77.78% | 84.62% |
| 8.5 | 100% | 88.89% | 92.31% |
| 10.5 | 100% | 88.89% | 92.31% |
| 12.5 | 100% | 88.89% | 92.31% |
| 14.5 | 100% | 100% | 100% |
| 16.5 | 100% | 100% | 100% |
Handicap Analysis by Patch
Patch 6.88
13 matches
(4 wins,
9 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 25% | 22.22% | 23.08% |
| -14.5 | 75% | 22.22% | 38.46% |
| -12.5 | 75% | 22.22% | 38.46% |
| -10.5 | 75% | 22.22% | 38.46% |
| -8.5 | 75% | 22.22% | 38.46% |
| -6.5 | 100% | 22.22% | 46.15% |
| -4.5 | 100% | 22.22% | 46.15% |
| -2.5 | 100% | 33.33% | 53.85% |
| -0.5 | 100% | 33.33% | 53.85% |
| 0.5 | 100% | 33.33% | 53.85% |
| 2.5 | 100% | 44.44% | 61.54% |
| 4.5 | 100% | 55.56% | 69.23% |
| 6.5 | 100% | 77.78% | 84.62% |
| 8.5 | 100% | 88.89% | 92.31% |
| 10.5 | 100% | 88.89% | 92.31% |
| 12.5 | 100% | 88.89% | 92.31% |
| 14.5 | 100% | 100% | 100% |
| 16.5 | 100% | 100% | 100% |
Overall Handicap Summary (All Matches)
13
Total Matches
4
Total Wins
9
Total Losses
| Handicap | Wins % | Losses % | Total % | Matches Covered |
|---|---|---|---|---|
| -16.5 | 25% | 22.22% |
23.08%
|
3 |
| -14.5 | 75% | 22.22% |
38.46%
|
5 |
| -12.5 | 75% | 22.22% |
38.46%
|
5 |
| -10.5 | 75% | 22.22% |
38.46%
|
5 |
| -8.5 | 75% | 22.22% |
38.46%
|
5 |
| -6.5 | 100% | 22.22% |
46.15%
|
6 |
| -4.5 | 100% | 22.22% |
46.15%
|
6 |
| -2.5 | 100% | 33.33% |
53.85%
|
7 |
| -0.5 | 100% | 33.33% |
53.85%
|
7 |
| 0.5 | 100% | 33.33% |
53.85%
|
7 |
| 2.5 | 100% | 44.44% |
61.54%
|
8 |
| 4.5 | 100% | 55.56% |
69.23%
|
9 |
| 6.5 | 100% | 77.78% |
84.62%
|
11 |
| 8.5 | 100% | 88.89% |
92.31%
|
12 |
| 10.5 | 100% | 88.89% |
92.31%
|
12 |
| 12.5 | 100% | 88.89% |
92.31%
|
12 |
| 14.5 | 100% | 100% |
100%
|
13 |
| 16.5 | 100% | 100% |
100%
|
13 |
Summary
13
Total Matches
1
Leagues Analyzed
1
Patches Analyzed