Team Jinesbrus - Handicap Analysis
Analyzing 19 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
19 matches
(12 wins,
7 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 33.33% | 0% | 21.05% |
| -14.5 | 33.33% | 0% | 21.05% |
| -12.5 | 41.67% | 0% | 26.32% |
| -10.5 | 50% | 0% | 31.58% |
| -8.5 | 58.33% | 0% | 36.84% |
| -6.5 | 66.67% | 0% | 42.11% |
| -4.5 | 75% | 14.29% | 52.63% |
| -2.5 | 91.67% | 14.29% | 63.16% |
| -0.5 | 91.67% | 14.29% | 63.16% |
| 0.5 | 91.67% | 28.57% | 68.42% |
| 2.5 | 100% | 28.57% | 73.68% |
| 4.5 | 100% | 28.57% | 73.68% |
| 6.5 | 100% | 28.57% | 73.68% |
| 8.5 | 100% | 28.57% | 73.68% |
| 10.5 | 100% | 28.57% | 73.68% |
| 12.5 | 100% | 28.57% | 73.68% |
| 14.5 | 100% | 28.57% | 73.68% |
| 16.5 | 100% | 85.71% | 94.74% |
Handicap Analysis by Patch
Patch 7.22
19 matches
(12 wins,
7 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 33.33% | 0% | 21.05% |
| -14.5 | 33.33% | 0% | 21.05% |
| -12.5 | 41.67% | 0% | 26.32% |
| -10.5 | 50% | 0% | 31.58% |
| -8.5 | 58.33% | 0% | 36.84% |
| -6.5 | 66.67% | 0% | 42.11% |
| -4.5 | 75% | 14.29% | 52.63% |
| -2.5 | 91.67% | 14.29% | 63.16% |
| -0.5 | 91.67% | 14.29% | 63.16% |
| 0.5 | 91.67% | 28.57% | 68.42% |
| 2.5 | 100% | 28.57% | 73.68% |
| 4.5 | 100% | 28.57% | 73.68% |
| 6.5 | 100% | 28.57% | 73.68% |
| 8.5 | 100% | 28.57% | 73.68% |
| 10.5 | 100% | 28.57% | 73.68% |
| 12.5 | 100% | 28.57% | 73.68% |
| 14.5 | 100% | 28.57% | 73.68% |
| 16.5 | 100% | 85.71% | 94.74% |
Overall Handicap Summary (All Matches)
19
Total Matches
12
Total Wins
7
Total Losses
| Handicap | Wins % | Losses % | Total % | Matches Covered |
|---|---|---|---|---|
| -16.5 | 33.33% | 0% |
21.05%
|
4 |
| -14.5 | 33.33% | 0% |
21.05%
|
4 |
| -12.5 | 41.67% | 0% |
26.32%
|
5 |
| -10.5 | 50% | 0% |
31.58%
|
6 |
| -8.5 | 58.33% | 0% |
36.84%
|
7 |
| -6.5 | 66.67% | 0% |
42.11%
|
8 |
| -4.5 | 75% | 14.29% |
52.63%
|
10 |
| -2.5 | 91.67% | 14.29% |
63.16%
|
12 |
| -0.5 | 91.67% | 14.29% |
63.16%
|
12 |
| 0.5 | 91.67% | 28.57% |
68.42%
|
13 |
| 2.5 | 100% | 28.57% |
73.68%
|
14 |
| 4.5 | 100% | 28.57% |
73.68%
|
14 |
| 6.5 | 100% | 28.57% |
73.68%
|
14 |
| 8.5 | 100% | 28.57% |
73.68%
|
14 |
| 10.5 | 100% | 28.57% |
73.68%
|
14 |
| 12.5 | 100% | 28.57% |
73.68%
|
14 |
| 14.5 | 100% | 28.57% |
73.68%
|
14 |
| 16.5 | 100% | 85.71% |
94.74%
|
18 |
Summary
19
Total Matches
1
Leagues Analyzed
1
Patches Analyzed