SG e-sports team - Handicap Analysis
Analyzing 38 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
20 matches
(12 wins,
8 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 8.33% | 0% | 5% |
| -14.5 | 50% | 0% | 30% |
| -12.5 | 58.33% | 0% | 35% |
| -10.5 | 66.67% | 12.5% | 45% |
| -8.5 | 66.67% | 12.5% | 45% |
| -6.5 | 66.67% | 12.5% | 45% |
| -4.5 | 83.33% | 12.5% | 55% |
| -2.5 | 83.33% | 12.5% | 55% |
| -0.5 | 91.67% | 12.5% | 60% |
| 0.5 | 91.67% | 25% | 65% |
| 2.5 | 91.67% | 25% | 65% |
| 4.5 | 100% | 25% | 70% |
| 6.5 | 100% | 25% | 70% |
| 8.5 | 100% | 50% | 80% |
| 10.5 | 100% | 50% | 80% |
| 12.5 | 100% | 50% | 80% |
| 14.5 | 100% | 87.5% | 95% |
| 16.5 | 100% | 87.5% | 95% |
The International 2017
18 matches
(11 wins,
7 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 27.27% | 0% | 16.67% |
| -14.5 | 27.27% | 0% | 16.67% |
| -12.5 | 45.45% | 0% | 27.78% |
| -10.5 | 54.55% | 0% | 33.33% |
| -8.5 | 54.55% | 0% | 33.33% |
| -6.5 | 63.64% | 0% | 38.89% |
| -4.5 | 72.73% | 0% | 44.44% |
| -2.5 | 72.73% | 0% | 44.44% |
| -0.5 | 90.91% | 0% | 55.56% |
| 0.5 | 100% | 0% | 61.11% |
| 2.5 | 100% | 0% | 61.11% |
| 4.5 | 100% | 0% | 61.11% |
| 6.5 | 100% | 0% | 61.11% |
| 8.5 | 100% | 14.29% | 66.67% |
| 10.5 | 100% | 28.57% | 72.22% |
| 12.5 | 100% | 42.86% | 77.78% |
| 14.5 | 100% | 85.71% | 94.44% |
| 16.5 | 100% | 100% | 100% |
Handicap Analysis by Patch
Patch 7.17
20 matches
(12 wins,
8 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 8.33% | 0% | 5% |
| -14.5 | 50% | 0% | 30% |
| -12.5 | 58.33% | 0% | 35% |
| -10.5 | 66.67% | 12.5% | 45% |
| -8.5 | 66.67% | 12.5% | 45% |
| -6.5 | 66.67% | 12.5% | 45% |
| -4.5 | 83.33% | 12.5% | 55% |
| -2.5 | 83.33% | 12.5% | 55% |
| -0.5 | 91.67% | 12.5% | 60% |
| 0.5 | 91.67% | 25% | 65% |
| 2.5 | 91.67% | 25% | 65% |
| 4.5 | 100% | 25% | 70% |
| 6.5 | 100% | 25% | 70% |
| 8.5 | 100% | 50% | 80% |
| 10.5 | 100% | 50% | 80% |
| 12.5 | 100% | 50% | 80% |
| 14.5 | 100% | 87.5% | 95% |
| 16.5 | 100% | 87.5% | 95% |
Patch 7.06
18 matches
(11 wins,
7 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 27.27% | 0% | 16.67% |
| -14.5 | 27.27% | 0% | 16.67% |
| -12.5 | 45.45% | 0% | 27.78% |
| -10.5 | 54.55% | 0% | 33.33% |
| -8.5 | 54.55% | 0% | 33.33% |
| -6.5 | 63.64% | 0% | 38.89% |
| -4.5 | 72.73% | 0% | 44.44% |
| -2.5 | 72.73% | 0% | 44.44% |
| -0.5 | 90.91% | 0% | 55.56% |
| 0.5 | 100% | 0% | 61.11% |
| 2.5 | 100% | 0% | 61.11% |
| 4.5 | 100% | 0% | 61.11% |
| 6.5 | 100% | 0% | 61.11% |
| 8.5 | 100% | 14.29% | 66.67% |
| 10.5 | 100% | 28.57% | 72.22% |
| 12.5 | 100% | 42.86% | 77.78% |
| 14.5 | 100% | 85.71% | 94.44% |
| 16.5 | 100% | 100% | 100% |
Overall Handicap Summary (All Matches)
38
Total Matches
23
Total Wins
15
Total Losses
| Handicap | Wins % | Losses % | Total % | Matches Covered |
|---|---|---|---|---|
| -16.5 | 17.39% | 0% |
10.53%
|
4 |
| -14.5 | 39.13% | 0% |
23.68%
|
9 |
| -12.5 | 52.17% | 0% |
31.58%
|
12 |
| -10.5 | 60.87% | 6.67% |
39.47%
|
15 |
| -8.5 | 60.87% | 6.67% |
39.47%
|
15 |
| -6.5 | 65.22% | 6.67% |
42.11%
|
16 |
| -4.5 | 78.26% | 6.67% |
50%
|
19 |
| -2.5 | 78.26% | 6.67% |
50%
|
19 |
| -0.5 | 91.3% | 6.67% |
57.89%
|
22 |
| 0.5 | 95.65% | 13.33% |
63.16%
|
24 |
| 2.5 | 95.65% | 13.33% |
63.16%
|
24 |
| 4.5 | 100% | 13.33% |
65.79%
|
25 |
| 6.5 | 100% | 13.33% |
65.79%
|
25 |
| 8.5 | 100% | 33.33% |
73.68%
|
28 |
| 10.5 | 100% | 40% |
76.32%
|
29 |
| 12.5 | 100% | 46.67% |
78.95%
|
30 |
| 14.5 | 100% | 86.67% |
94.74%
|
36 |
| 16.5 | 100% | 93.33% |
97.37%
|
37 |
Summary
38
Total Matches
2
Leagues Analyzed
2
Patches Analyzed