Match Performance
Your Performance
73.45% of winner
Place:10 / 16
Match %:73.45%
Match Pts:812.80
Consistency:Very Consistent
Avg:71.30%
Std Dev:5.8
Spread:24.1 pts
Hits:167A 53C 6D 2M
Best:
83.74% (S6)
Worst:
59.68% (S7)
Division Winner
Piotr Sienkiewicz
Place:1
Match %:100.00%
Match Pts:1106.56
Consistency:Very Consistent
Avg:97.07%
Std Dev:5.4
Spread:21.6 pts
Hits:180A 45C 3D 1NS
Best:
100.00% (S1)
Worst:
78.44% (S7)
50%
75%
100%
You Winner Avg
Performance by Stage Type
By Hit Factor
High HF(Speed)
73.95%
1 stage · 73.95%
Medium HF(Balanced)
70.99%
11 stages · 59.68% – 83.74%
By Stage Length
Short(≤12 shots)
68.79%
6 stages · 59.68% – 83.74%
Medium(13-24 shots)
72.64%
4 stages · 67.51% – 78.72%
Long(25+ shots)
72.20%
2 stages · 70.58% – 73.81%
Points by Stage
Stage Results
| Stage | Place | % | HF | Time | Hits | Time Gap | Points Gap | Focus | Splits | Analysis |
|---|---|---|---|---|---|---|---|---|---|---|
Tor 1 Stage 1 Med | 8 | 70.58% | 6.7593 | 21.60 | 20A 11C 1D | +34.33% | -5.19% | - | ||
Tor 2 Stage 2 Med | 7 | 73.81% | 6.8388 | 22.08 | 25A 6C 1D | +32.85% | -1.95% | |||
Tor 3 Stage 3 Med | 10 | 63.96% | 5.5238 | 10.50 | 10A 2C | +59.09% | +1.75% | - | ||
Tor 4 Stage 4 Med | 12 | 71.17% | 4.7980 | 11.88 | 9A 3C | +48.31% | +5.56% | |||
Tor 5 Stage 5 High | 5 | 73.95% | 8.5913 | 12.92 | 17A 6C 1D | +34.02% | -0.89% | - | ||
Tor 6 Stage 6 Med | 5 | 83.74% | 4.7496 | 11.58 | 9A 2C 1D | +15.22% | -3.51% | - | ||
Tor 7 Stage 7 Med | 14 | 59.68% | 4.9312 | 8.72 | 9A 2C 1M | +22.13% | -27.12% | - | ||
Tor 8 Stage 8 Med | 8 | 78.72% | 6.3666 | 18.22 | 20A 4C | +24.88% | -1.69% | - | ||
Tor 9 Stage 9 Med | 11 | 67.51% | 5.8170 | 15.30 | 11A 8C 1D | +40.24% | -5.32% | - | ||
Tor 10 Stage 10 Med | 13 | 69.52% | 5.8788 | 16.50 | 17A 5C 1D 1M | +21.32% | -15.65% | |||
Tor 11 Stage 11 Med | 8 | 73.58% | 6.0000 | 10.00 | 12A | +43.06% | +5.26% | |||
Tor 12 Stage 12 Med | 14 | 60.62% | 4.6319 | 12.09 | 8A 4C | +62.06% | -1.75% | - |
Time vs Points Analysis
Time (X) vs Points (Y) across all stages. Left is faster, up is more accurate.