Ninjas in Pyjamas - Handicap Analysis
Analyzing 16 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
16 matches
(3 wins,
13 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 66.67% | 0% | 12.5% |
| -14.5 | 66.67% | 0% | 12.5% |
| -12.5 | 66.67% | 0% | 12.5% |
| -10.5 | 66.67% | 0% | 12.5% |
| -8.5 | 66.67% | 0% | 12.5% |
| -6.5 | 66.67% | 0% | 12.5% |
| -4.5 | 66.67% | 7.69% | 18.75% |
| -2.5 | 100% | 7.69% | 25% |
| -0.5 | 100% | 7.69% | 25% |
| 0.5 | 100% | 7.69% | 25% |
| 2.5 | 100% | 15.38% | 31.25% |
| 4.5 | 100% | 15.38% | 31.25% |
| 6.5 | 100% | 23.08% | 37.5% |
| 8.5 | 100% | 30.77% | 43.75% |
| 10.5 | 100% | 30.77% | 43.75% |
| 12.5 | 100% | 30.77% | 43.75% |
| 14.5 | 100% | 76.92% | 81.25% |
| 16.5 | 100% | 84.62% | 87.5% |
Handicap Analysis by Patch
Patch 7.22
16 matches
(3 wins,
13 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 66.67% | 0% | 12.5% |
| -14.5 | 66.67% | 0% | 12.5% |
| -12.5 | 66.67% | 0% | 12.5% |
| -10.5 | 66.67% | 0% | 12.5% |
| -8.5 | 66.67% | 0% | 12.5% |
| -6.5 | 66.67% | 0% | 12.5% |
| -4.5 | 66.67% | 7.69% | 18.75% |
| -2.5 | 100% | 7.69% | 25% |
| -0.5 | 100% | 7.69% | 25% |
| 0.5 | 100% | 7.69% | 25% |
| 2.5 | 100% | 15.38% | 31.25% |
| 4.5 | 100% | 15.38% | 31.25% |
| 6.5 | 100% | 23.08% | 37.5% |
| 8.5 | 100% | 30.77% | 43.75% |
| 10.5 | 100% | 30.77% | 43.75% |
| 12.5 | 100% | 30.77% | 43.75% |
| 14.5 | 100% | 76.92% | 81.25% |
| 16.5 | 100% | 84.62% | 87.5% |
Overall Handicap Summary (All Matches)
16
Total Matches
3
Total Wins
13
Total Losses
| Handicap | Wins % | Losses % | Total % | Matches Covered |
|---|---|---|---|---|
| -16.5 | 66.67% | 0% |
12.5%
|
2 |
| -14.5 | 66.67% | 0% |
12.5%
|
2 |
| -12.5 | 66.67% | 0% |
12.5%
|
2 |
| -10.5 | 66.67% | 0% |
12.5%
|
2 |
| -8.5 | 66.67% | 0% |
12.5%
|
2 |
| -6.5 | 66.67% | 0% |
12.5%
|
2 |
| -4.5 | 66.67% | 7.69% |
18.75%
|
3 |
| -2.5 | 100% | 7.69% |
25%
|
4 |
| -0.5 | 100% | 7.69% |
25%
|
4 |
| 0.5 | 100% | 7.69% |
25%
|
4 |
| 2.5 | 100% | 15.38% |
31.25%
|
5 |
| 4.5 | 100% | 15.38% |
31.25%
|
5 |
| 6.5 | 100% | 23.08% |
37.5%
|
6 |
| 8.5 | 100% | 30.77% |
43.75%
|
7 |
| 10.5 | 100% | 30.77% |
43.75%
|
7 |
| 12.5 | 100% | 30.77% |
43.75%
|
7 |
| 14.5 | 100% | 76.92% |
81.25%
|
13 |
| 16.5 | 100% | 84.62% |
87.5%
|
14 |
Summary
16
Total Matches
1
Leagues Analyzed
1
Patches Analyzed