Qhali - Handicap Analysis
Analyzing 52 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
DPC 2023 SA Summer Tour Division II – presented by ESB Liga Esports
15 matches
(3 wins,
12 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 100% | 0% | 20% |
| -14.5 | 100% | 0% | 20% |
| -12.5 | 100% | 0% | 20% |
| -10.5 | 100% | 0% | 20% |
| -8.5 | 100% | 0% | 20% |
| -6.5 | 100% | 0% | 20% |
| -4.5 | 100% | 0% | 20% |
| -2.5 | 100% | 0% | 20% |
| -0.5 | 100% | 0% | 20% |
| 0.5 | 100% | 0% | 20% |
| 2.5 | 100% | 0% | 20% |
| 4.5 | 100% | 16.67% | 33.33% |
| 6.5 | 100% | 33.33% | 46.67% |
| 8.5 | 100% | 33.33% | 46.67% |
| 10.5 | 100% | 33.33% | 46.67% |
| 12.5 | 100% | 33.33% | 46.67% |
| 14.5 | 100% | 41.67% | 53.33% |
| 16.5 | 100% | 41.67% | 53.33% |
DPC 2023 SA Spring Tour Division I – presented by ESB Liga Esports
18 matches
(5 wins,
13 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 60% | 0% | 16.67% |
| -14.5 | 80% | 0% | 22.22% |
| -12.5 | 80% | 0% | 22.22% |
| -10.5 | 80% | 0% | 22.22% |
| -8.5 | 80% | 0% | 22.22% |
| -6.5 | 80% | 0% | 22.22% |
| -4.5 | 100% | 0% | 27.78% |
| -2.5 | 100% | 0% | 27.78% |
| -0.5 | 100% | 0% | 27.78% |
| 0.5 | 100% | 0% | 27.78% |
| 2.5 | 100% | 0% | 27.78% |
| 4.5 | 100% | 7.69% | 33.33% |
| 6.5 | 100% | 23.08% | 44.44% |
| 8.5 | 100% | 30.77% | 50% |
| 10.5 | 100% | 38.46% | 55.56% |
| 12.5 | 100% | 38.46% | 55.56% |
| 14.5 | 100% | 38.46% | 55.56% |
| 16.5 | 100% | 53.85% | 66.67% |
DPC 2023 SA Winter Tour Division II – presented by ESB Liga Esports
19 matches
(12 wins,
7 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 66.67% | 0% | 42.11% |
| -14.5 | 66.67% | 0% | 42.11% |
| -12.5 | 75% | 0% | 47.37% |
| -10.5 | 83.33% | 0% | 52.63% |
| -8.5 | 83.33% | 0% | 52.63% |
| -6.5 | 100% | 0% | 63.16% |
| -4.5 | 100% | 0% | 63.16% |
| -2.5 | 100% | 0% | 63.16% |
| -0.5 | 100% | 0% | 63.16% |
| 0.5 | 100% | 0% | 63.16% |
| 2.5 | 100% | 14.29% | 68.42% |
| 4.5 | 100% | 14.29% | 68.42% |
| 6.5 | 100% | 42.86% | 78.95% |
| 8.5 | 100% | 42.86% | 78.95% |
| 10.5 | 100% | 71.43% | 89.47% |
| 12.5 | 100% | 71.43% | 89.47% |
| 14.5 | 100% | 85.71% | 94.74% |
| 16.5 | 100% | 85.71% | 94.74% |
Handicap Analysis by Patch
Patch 7.33
15 matches
(3 wins,
12 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 100% | 0% | 20% |
| -14.5 | 100% | 0% | 20% |
| -12.5 | 100% | 0% | 20% |
| -10.5 | 100% | 0% | 20% |
| -8.5 | 100% | 0% | 20% |
| -6.5 | 100% | 0% | 20% |
| -4.5 | 100% | 0% | 20% |
| -2.5 | 100% | 0% | 20% |
| -0.5 | 100% | 0% | 20% |
| 0.5 | 100% | 0% | 20% |
| 2.5 | 100% | 0% | 20% |
| 4.5 | 100% | 16.67% | 33.33% |
| 6.5 | 100% | 33.33% | 46.67% |
| 8.5 | 100% | 33.33% | 46.67% |
| 10.5 | 100% | 33.33% | 46.67% |
| 12.5 | 100% | 33.33% | 46.67% |
| 14.5 | 100% | 41.67% | 53.33% |
| 16.5 | 100% | 41.67% | 53.33% |
Patch 7.32
37 matches
(17 wins,
20 losses)
| Handicap | Wins % | Losses % | Total % |
|---|---|---|---|
| -16.5 | 64.71% | 0% | 29.73% |
| -14.5 | 70.59% | 0% | 32.43% |
| -12.5 | 76.47% | 0% | 35.14% |
| -10.5 | 82.35% | 0% | 37.84% |
| -8.5 | 82.35% | 0% | 37.84% |
| -6.5 | 94.12% | 0% | 43.24% |
| -4.5 | 100% | 0% | 45.95% |
| -2.5 | 100% | 0% | 45.95% |
| -0.5 | 100% | 0% | 45.95% |
| 0.5 | 100% | 0% | 45.95% |
| 2.5 | 100% | 5% | 48.65% |
| 4.5 | 100% | 10% | 51.35% |
| 6.5 | 100% | 30% | 62.16% |
| 8.5 | 100% | 35% | 64.86% |
| 10.5 | 100% | 50% | 72.97% |
| 12.5 | 100% | 50% | 72.97% |
| 14.5 | 100% | 55% | 75.68% |
| 16.5 | 100% | 65% | 81.08% |
Overall Handicap Summary (All Matches)
52
Total Matches
20
Total Wins
32
Total Losses
| Handicap | Wins % | Losses % | Total % | Matches Covered |
|---|---|---|---|---|
| -16.5 | 70% | 0% |
26.92%
|
14 |
| -14.5 | 75% | 0% |
28.85%
|
15 |
| -12.5 | 80% | 0% |
30.77%
|
16 |
| -10.5 | 85% | 0% |
32.69%
|
17 |
| -8.5 | 85% | 0% |
32.69%
|
17 |
| -6.5 | 95% | 0% |
36.54%
|
19 |
| -4.5 | 100% | 0% |
38.46%
|
20 |
| -2.5 | 100% | 0% |
38.46%
|
20 |
| -0.5 | 100% | 0% |
38.46%
|
20 |
| 0.5 | 100% | 0% |
38.46%
|
20 |
| 2.5 | 100% | 3.13% |
40.38%
|
21 |
| 4.5 | 100% | 12.5% |
46.15%
|
24 |
| 6.5 | 100% | 31.25% |
57.69%
|
30 |
| 8.5 | 100% | 34.38% |
59.62%
|
31 |
| 10.5 | 100% | 43.75% |
65.38%
|
34 |
| 12.5 | 100% | 43.75% |
65.38%
|
34 |
| 14.5 | 100% | 50% |
69.23%
|
36 |
| 16.5 | 100% | 56.25% |
73.08%
|
38 |
Summary
52
Total Matches
3
Leagues Analyzed
2
Patches Analyzed