Match Performance
Your Performance
39.09% of winner
Place:7 / 7
Match %:39.09%
Match Pts:432.77
Consistency:Very Consistent
Avg:37.47%
Std Dev:7.0
Spread:22.4 pts
Hits:197A 29C 5D 1NS
Best:
45.46% (S6)
Worst:
23.11% (S8)
Division Winner
Michał Koronkiewicz
Place:1
Match %:100.00%
Match Pts:1107.09
Consistency:Very Consistent
Avg:95.85%
Std Dev:5.9
Spread:17.7 pts
Hits:200A 30C 1M
Best:
100.00% (S1)
Worst:
82.26% (S4)
20%
60%
100%
You Winner Avg
Performance by Stage Type
By Hit Factor
Medium HF(Balanced)
37.04%
11 stages · 23.11% – 45.46%
Low HF(Technical)
45.34%
1 stage · 45.34%
By Stage Length
Short(≤12 shots)
41.69%
6 stages · 35.56% – 45.46%
Medium(13-24 shots)
33.92%
4 stages · 23.11% – 45.28%
Long(25+ shots)
38.06%
2 stages · 34.45% – 41.79%
Points by Stage
Stage Results
| Stage | Place | % | HF | Time | Hits | Time Gap | Points Gap | Focus | Splits | Analysis |
|---|---|---|---|---|---|---|---|---|---|---|
Stage 1 Stage 1 Med | 7 | 45.28% | 2.2998 | 47.83 | 19A 5C | +109.41% | -5.17% | |||
Stage 2 Stage 2 Med | 7 | 34.45% | 2.0772 | 67.40 | 26A 2C 4D | +186.20% | -1.41% | |||
Stage 3 Stage 3 Low | 7 | 45.34% | 2.1277 | 28.20 | 12A | +128.16% | +3.45% | - | ||
Stage 4 Stage 4 Med | 7 | 43.87% | 3.8095 | 15.75 | 12A | +127.93% | 0.00% | |||
Stage 5 Stage 5 Med | 7 | 38.39% | 2.7391 | 40.89 | 20A 4C | +151.48% | -3.45% | |||
Stage 6 Stage 6 Med | 7 | 45.46% | 3.2680 | 18.36 | 12A | +135.69% | +7.14% | - | ||
Stage 7 Stage 7 Med | 7 | 40.07% | 2.5046 | 21.56 | 9A 3C | +159.13% | +3.85% | - | ||
Stage 8 Stage 8 Med | 7 | 23.11% | 1.6562 | 60.38 | 14A 10C | +279.51% | -12.28% | - | ||
Stage 9 Stage 9 Med | 7 | 41.79% | 3.1117 | 49.17 | 30A 1C | +175.31% | +15.04% | |||
Stage 10 Stage 10 Med | 6 | 39.82% | 2.4272 | 24.72 | 12A | +179.01% | +11.11% | |||
Stage 11 Stage 11 Med | 7 | 35.56% | 1.9879 | 28.17 | 10A 2C | +191.61% | +3.70% | |||
Stage 12 Stage 12 Med | 7 | 28.88% | 2.0286 | 50.28 | 21A 2C 1D 1NS | +221.07% | -7.27% | - |
Time vs Points Analysis
Time (X) vs Points (Y) across all stages. Left is faster, up is more accurate.