Newbee - Handicap Analysis
Analyzing 36 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
36 matches
(24 wins,
12 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 75% | 0% | 50% |
| -14.5 | 83.33% | 0% | 55.56% |
| -12.5 | 83.33% | 0% | 55.56% |
| -10.5 | 87.5% | 8.33% | 61.11% |
| -8.5 | 87.5% | 8.33% | 61.11% |
| -6.5 | 87.5% | 8.33% | 61.11% |
| -4.5 | 91.67% | 8.33% | 63.89% |
| -2.5 | 91.67% | 8.33% | 63.89% |
| -0.5 | 91.67% | 8.33% | 63.89% |
| 0.5 | 95.83% | 8.33% | 66.67% |
| 2.5 | 95.83% | 8.33% | 66.67% |
| 4.5 | 95.83% | 8.33% | 66.67% |
| 6.5 | 95.83% | 8.33% | 66.67% |
| 8.5 | 95.83% | 16.67% | 69.44% |
| 10.5 | 95.83% | 25% | 72.22% |
| 12.5 | 100% | 50% | 83.33% |
| 14.5 | 100% | 50% | 83.33% |
| 16.5 | 100% | 75% | 91.67% |
Handicap Analysis by Patch
Patch 7.22
36 matches
(24 wins,
12 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 75% | 0% | 50% |
| -14.5 | 83.33% | 0% | 55.56% |
| -12.5 | 83.33% | 0% | 55.56% |
| -10.5 | 87.5% | 8.33% | 61.11% |
| -8.5 | 87.5% | 8.33% | 61.11% |
| -6.5 | 87.5% | 8.33% | 61.11% |
| -4.5 | 91.67% | 8.33% | 63.89% |
| -2.5 | 91.67% | 8.33% | 63.89% |
| -0.5 | 91.67% | 8.33% | 63.89% |
| 0.5 | 95.83% | 8.33% | 66.67% |
| 2.5 | 95.83% | 8.33% | 66.67% |
| 4.5 | 95.83% | 8.33% | 66.67% |
| 6.5 | 95.83% | 8.33% | 66.67% |
| 8.5 | 95.83% | 16.67% | 69.44% |
| 10.5 | 95.83% | 25% | 72.22% |
| 12.5 | 100% | 50% | 83.33% |
| 14.5 | 100% | 50% | 83.33% |
| 16.5 | 100% | 75% | 91.67% |
Overall Handicap Summary (All Matches)
36
Total Matches
24
Total Wins
12
Total Losses
| Handicap | Wins % | Losses % | Total % | Matches Covered |
|---|---|---|---|---|
| -16.5 | 75% | 0% |
50%
|
18 |
| -14.5 | 83.33% | 0% |
55.56%
|
20 |
| -12.5 | 83.33% | 0% |
55.56%
|
20 |
| -10.5 | 87.5% | 8.33% |
61.11%
|
22 |
| -8.5 | 87.5% | 8.33% |
61.11%
|
22 |
| -6.5 | 87.5% | 8.33% |
61.11%
|
22 |
| -4.5 | 91.67% | 8.33% |
63.89%
|
23 |
| -2.5 | 91.67% | 8.33% |
63.89%
|
23 |
| -0.5 | 91.67% | 8.33% |
63.89%
|
23 |
| 0.5 | 95.83% | 8.33% |
66.67%
|
24 |
| 2.5 | 95.83% | 8.33% |
66.67%
|
24 |
| 4.5 | 95.83% | 8.33% |
66.67%
|
24 |
| 6.5 | 95.83% | 8.33% |
66.67%
|
24 |
| 8.5 | 95.83% | 16.67% |
69.44%
|
25 |
| 10.5 | 95.83% | 25% |
72.22%
|
26 |
| 12.5 | 100% | 50% |
83.33%
|
30 |
| 14.5 | 100% | 50% |
83.33%
|
30 |
| 16.5 | 100% | 75% |
91.67%
|
33 |
Summary
36
Total Matches
1
Leagues Analyzed
1
Patches Analyzed