Belleville High School - Belleville, MI, USA
Explore the probability of achieving at least a certain number of victories in the pool for each fencer, with their actual victories highlighted in a box. Learn more.
# | Name | Number of victories | |||||||
---|---|---|---|---|---|---|---|---|---|
0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | ||
1 | KAISER Hans Z. | 100% | 100% | 100% | 100% | 100% | 99% | 90% | 39% |
2 | FORTUNE Alexander J. | 100% | 100% | 100% | 100% | 97% | 81% | 39% | |
3 | MCISAAC Finn | 100% | 100% | 100% | 99% | 91% | 64% | 21% | |
3 | BROUGHAM Samuel | 100% | 100% | 100% | 100% | 96% | 79% | 44% | 11% |
5 | HAMILTON Brock B. | 100% | 100% | 99% | 91% | 64% | 25% | 4% | |
6 | NYKAMP Caleb | 100% | 100% | 100% | 98% | 84% | 38% | 6% | |
7 | LIU Ethan | 100% | 100% | 100% | 96% | 82% | 50% | 14% | |
8 | EDWARDS Maxon | 100% | 100% | 97% | 76% | 33% | 6% | - | |
9 | ALLEN Henry G. | 100% | 100% | 100% | 99% | 94% | 70% | 26% | |
10 | PALMA Matthew Dominic | 100% | 100% | 100% | 97% | 84% | 48% | 12% | |
11 | SHEVCHENKO Kostiantyn | 100% | 100% | 96% | 80% | 50% | 18% | 3% | |
12 | GATRELL Mitchell E. | 100% | 100% | 100% | 99% | 95% | 74% | 31% | |
13 | PALMA Nathan Anthony | 100% | 100% | 99% | 92% | 68% | 31% | 6% | |
14 | KUE Temujin | 100% | 97% | 77% | 39% | 9% | 1% | - | |
15 | KENNEDY Christo | 100% | 100% | 96% | 78% | 43% | 13% | 2% | |
16 | COPELAND Nigel | 100% | 99% | 86% | 54% | 21% | 4% | - | |
17 | CAMPBELL June | 100% | 100% | 98% | 89% | 65% | 31% | 7% | |
18 | DEDENBACH Joseph | 100% | 100% | 100% | 96% | 79% | 41% | 7% | |
19 | TOWNE Benjamin | 100% | 100% | 91% | 61% | 22% | 3% | - | |
20 | SORRENTINO Salvatore | 100% | 99% | 90% | 62% | 26% | 5% | - | |
21 | GNEUHS Sam | 100% | 100% | 93% | 70% | 35% | 10% | 1% | |
22 | LEE Ian | 100% | 95% | 69% | 28% | 4% | - | - | |
23 | DIEPSTRA Jeremy | 100% | 97% | 79% | 43% | 13% | 2% | - | |
26 | GREEN Zachary J. | 100% | 97% | 83% | 51% | 20% | 4% | - | |
26 | POGOSIAN Roman | 100% | 98% | 81% | 46% | 15% | 3% | - | |
28 | AADHI Hansika | 100% | 98% | 87% | 58% | 25% | 6% | - | |
29 | FOXWORTH John P. | 100% | 100% | 97% | 85% | 57% | 23% | 3% | - |
30 | HICKEY Connor | 100% | 98% | 75% | 35% | 9% | 1% | - | - |
31 | VANOYEN Dominick | 100% | 100% | 96% | 78% | 43% | 13% | 2% | |
32 | WU Benjamin (Ben) | 100% | 96% | 79% | 46% | 16% | 3% | - | - |
33 | SLUSHER Gideon | 100% | 100% | 98% | 87% | 59% | 24% | 4% | |
34 | RIVERA Ricky N. | 100% | 90% | 58% | 22% | 5% | - | - | |
34 | LINDOW Connor | 100% | 94% | 67% | 30% | 8% | 1% | - | |
36 | OWENS Andrew J. | 100% | 100% | 99% | 92% | 69% | 33% | 7% | |
37 | COLLINS Anna | 100% | 100% | 99% | 93% | 71% | 33% | 5% | |
38 | RODRIGUEZ JR Martin | 100% | 100% | 100% | 98% | 85% | 51% | 12% | |
38 | STONE Sydney | 100% | 100% | 98% | 87% | 58% | 24% | 4% | |
40 | HAN Ethan | 100% | 100% | 95% | 79% | 48% | 18% | 3% | - |
41 | YEE Michael | 100% | 99% | 93% | 70% | 35% | 9% | 1% | - |
42 | TAN Dorathy | 100% | 98% | 87% | 59% | 26% | 6% | 1% | |
43 | BASS Nathan | 100% | 97% | 77% | 41% | 13% | 2% | - | |
44 | MORSE Katherine | 100% | 80% | 42% | 13% | 2% | - | - | |
45 | MCGRATH Polina S. | 100% | 87% | 55% | 22% | 5% | 1% | - | - |
46 | NAZARIO Dominic | 100% | 95% | 74% | 39% | 12% | 2% | - | |
46 | BETHEA Chase | 100% | 96% | 74% | 38% | 12% | 2% | - | |
48 | HAN Katherine | 100% | 96% | 63% | 10% | - | - | - | |
49 | ATKINSON Josiah | 100% | 99% | 90% | 65% | 33% | 10% | 1% | |
50 | OWENS Carrie M. | 100% | 99% | 73% | 31% | 7% | 1% | - | |
51 | HAGOPIAN Mitchell | 100% | 96% | 72% | 35% | 9% | 1% | - | |
52 | KIM Ethan | 100% | 100% | 94% | 72% | 36% | 9% | 1% | |
53 | LOWTHER Imogen | 100% | 68% | 25% | 4% | - | - | - | |
53 | MALVESTUTO Evelyn | 100% | 50% | 12% | 1% | - | - | - | |
55 | MICK Gabriel | 100% | 56% | 16% | 2% | - | - | - | |
56 | EDWARDS Connor | 100% | 82% | 43% | 13% | 2% | - | - | |
57 | KIM Adrian | 100% | 84% | 42% | 10% | 1% | - | - |
The heatmap in this table provides a visual representation of the victory probability distribution for each fencer in their respective pools:
This heatmap visualization offers an immediate understanding of each fencer's expected performance compared to their actual results.