VGJ Storm - Handicap Analysis
Analyzing 31 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 2018
31 matches
(22 wins,
9 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 50% | 0% | 35.48% |
| -14.5 | 50% | 0% | 35.48% |
| -12.5 | 68.18% | 0% | 48.39% |
| -10.5 | 68.18% | 0% | 48.39% |
| -8.5 | 77.27% | 0% | 54.84% |
| -6.5 | 90.91% | 0% | 64.52% |
| -4.5 | 95.45% | 11.11% | 70.97% |
| -2.5 | 100% | 11.11% | 74.19% |
| -0.5 | 100% | 11.11% | 74.19% |
| 0.5 | 100% | 11.11% | 74.19% |
| 2.5 | 100% | 11.11% | 74.19% |
| 4.5 | 100% | 11.11% | 74.19% |
| 6.5 | 100% | 22.22% | 77.42% |
| 8.5 | 100% | 33.33% | 80.65% |
| 10.5 | 100% | 33.33% | 80.65% |
| 12.5 | 100% | 33.33% | 80.65% |
| 14.5 | 100% | 44.44% | 83.87% |
| 16.5 | 100% | 66.67% | 90.32% |
Handicap Analysis by Patch
Patch 7.19
22 matches
(14 wins,
8 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 35.71% | 0% | 22.73% |
| -14.5 | 35.71% | 0% | 22.73% |
| -12.5 | 64.29% | 0% | 40.91% |
| -10.5 | 64.29% | 0% | 40.91% |
| -8.5 | 71.43% | 0% | 45.45% |
| -6.5 | 85.71% | 0% | 54.55% |
| -4.5 | 92.86% | 12.5% | 63.64% |
| -2.5 | 100% | 12.5% | 68.18% |
| -0.5 | 100% | 12.5% | 68.18% |
| 0.5 | 100% | 12.5% | 68.18% |
| 2.5 | 100% | 12.5% | 68.18% |
| 4.5 | 100% | 12.5% | 68.18% |
| 6.5 | 100% | 25% | 72.73% |
| 8.5 | 100% | 37.5% | 77.27% |
| 10.5 | 100% | 37.5% | 77.27% |
| 12.5 | 100% | 37.5% | 77.27% |
| 14.5 | 100% | 50% | 81.82% |
| 16.5 | 100% | 75% | 90.91% |
Patch 7.18
2 matches
(2 wins,
0 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 100% | 0% | 100% |
| -14.5 | 100% | 0% | 100% |
| -12.5 | 100% | 0% | 100% |
| -10.5 | 100% | 0% | 100% |
| -8.5 | 100% | 0% | 100% |
| -6.5 | 100% | 0% | 100% |
| -4.5 | 100% | 0% | 100% |
| -2.5 | 100% | 0% | 100% |
| -0.5 | 100% | 0% | 100% |
| 0.5 | 100% | 0% | 100% |
| 2.5 | 100% | 0% | 100% |
| 4.5 | 100% | 0% | 100% |
| 6.5 | 100% | 0% | 100% |
| 8.5 | 100% | 0% | 100% |
| 10.5 | 100% | 0% | 100% |
| 12.5 | 100% | 0% | 100% |
| 14.5 | 100% | 0% | 100% |
| 16.5 | 100% | 0% | 100% |
Patch 7.17
7 matches
(6 wins,
1 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 66.67% | 0% | 57.14% |
| -14.5 | 66.67% | 0% | 57.14% |
| -12.5 | 66.67% | 0% | 57.14% |
| -10.5 | 66.67% | 0% | 57.14% |
| -8.5 | 83.33% | 0% | 71.43% |
| -6.5 | 100% | 0% | 85.71% |
| -4.5 | 100% | 0% | 85.71% |
| -2.5 | 100% | 0% | 85.71% |
| -0.5 | 100% | 0% | 85.71% |
| 0.5 | 100% | 0% | 85.71% |
| 2.5 | 100% | 0% | 85.71% |
| 4.5 | 100% | 0% | 85.71% |
| 6.5 | 100% | 0% | 85.71% |
| 8.5 | 100% | 0% | 85.71% |
| 10.5 | 100% | 0% | 85.71% |
| 12.5 | 100% | 0% | 85.71% |
| 14.5 | 100% | 0% | 85.71% |
| 16.5 | 100% | 0% | 85.71% |
Overall Handicap Summary (All Matches)
31
Total Matches
22
Total Wins
9
Total Losses
| Handicap | Wins % | Losses % | Total % | Matches Covered |
|---|---|---|---|---|
| -16.5 | 50% | 0% |
35.48%
|
11 |
| -14.5 | 50% | 0% |
35.48%
|
11 |
| -12.5 | 68.18% | 0% |
48.39%
|
15 |
| -10.5 | 68.18% | 0% |
48.39%
|
15 |
| -8.5 | 77.27% | 0% |
54.84%
|
17 |
| -6.5 | 90.91% | 0% |
64.52%
|
20 |
| -4.5 | 95.45% | 11.11% |
70.97%
|
22 |
| -2.5 | 100% | 11.11% |
74.19%
|
23 |
| -0.5 | 100% | 11.11% |
74.19%
|
23 |
| 0.5 | 100% | 11.11% |
74.19%
|
23 |
| 2.5 | 100% | 11.11% |
74.19%
|
23 |
| 4.5 | 100% | 11.11% |
74.19%
|
23 |
| 6.5 | 100% | 22.22% |
77.42%
|
24 |
| 8.5 | 100% | 33.33% |
80.65%
|
25 |
| 10.5 | 100% | 33.33% |
80.65%
|
25 |
| 12.5 | 100% | 33.33% |
80.65%
|
25 |
| 14.5 | 100% | 44.44% |
83.87%
|
26 |
| 16.5 | 100% | 66.67% |
90.32%
|
28 |
Summary
31
Total Matches
1
Leagues Analyzed
3
Patches Analyzed