Monroe 33 Tennis, Basketball and Sports - Monroe Township, NJ, 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 | ||
1 | PRIMUS Nazir | 100% | 100% | 99% | 95% | 80% | 47% | 13% |
2 | DALAL Rohan | 100% | 100% | 100% | 98% | 87% | 51% | 7% |
3 | HU Christopher | 100% | 100% | 100% | 100% | 97% | 82% | 40% |
3 | FELDMAN Drew | 100% | 100% | 98% | 86% | 57% | 19% | |
5 | ANTHONY Devyn V. | 100% | 100% | 100% | 100% | 100% | 97% | 72% |
6 | HUANG Alex F. | 100% | 100% | 100% | 100% | 96% | 76% | 32% |
7 | BRANDT Jaden | 100% | 99% | 93% | 70% | 34% | 7% | |
8 | BODKIN Jake M. | 100% | 100% | 96% | 81% | 47% | 13% | |
9 | ANAND Sahil Z. | 100% | 99% | 93% | 70% | 33% | 7% | |
10 | MARGULIS Jared | 100% | 94% | 65% | 27% | 6% | < 1% | |
11 | BERA Enzo | 100% | 100% | 100% | 99% | 94% | 71% | 28% |
12 | KIM Ethan | 100% | 100% | 97% | 85% | 57% | 24% | 4% |
13 | ZHAO Lucas | 100% | 100% | 100% | 97% | 85% | 55% | 18% |
14 | HUANG Maxwell H. | 100% | 100% | 96% | 81% | 51% | 19% | 3% |
15 | ZHANG Yupeng | 100% | 99% | 89% | 64% | 29% | 7% | 1% |
16 | SAHAY Kenji | 100% | 100% | 96% | 80% | 44% | 11% | |
17 | KWALWASSER Eric | 100% | 100% | 100% | 98% | 88% | 57% | 17% |
18 | ZHENG LEON | 100% | 100% | 98% | 84% | 51% | 16% | 2% |
19 | LEE Ashe | 100% | 98% | 86% | 54% | 20% | 4% | - |
20 | HO Nathaniel | 100% | 99% | 90% | 61% | 22% | 3% | - |
21 | LEE Andrew | 100% | 98% | 85% | 54% | 20% | 3% | |
22 | GONG Jerry | 100% | 99% | 92% | 68% | 32% | 7% | |
23 | WANG daniel | 100% | 98% | 81% | 46% | 15% | 2% | |
24 | CAMPBELL Tobias | 100% | 91% | 54% | 18% | 3% | - | - |
25 | URSU Marcel T. | 100% | 100% | 99% | 93% | 71% | 34% | 7% |
26 | SAGE Sebastian | 100% | 100% | 98% | 88% | 62% | 27% | 5% |
27 | IDRISSI Idris | 100% | 99% | 92% | 67% | 30% | 5% | |
28 | TIAGI George | 100% | 90% | 60% | 25% | 6% | 1% | |
29 | TANG Shu Hon | 100% | 100% | 99% | 95% | 78% | 41% | 7% |
30 | ALAVE Kyle | 100% | 100% | 97% | 84% | 53% | 18% | 2% |
31 | XIA Eric | 100% | 95% | 74% | 40% | 13% | 2% | - |
32 | BONETTI Brayden | 100% | 100% | 98% | 87% | 56% | 18% | |
33 | HE Bowen | 100% | 97% | 77% | 41% | 13% | 2% | - |
34 | SEN Christian | 100% | 91% | 62% | 27% | 6% | 1% | |
35 | NG Jonathan | 100% | 100% | 93% | 68% | 31% | 7% | 1% |
36 | NGUYEN Anthony | 100% | 97% | 80% | 46% | 16% | 3% | - |
37 | RAJMOHAN Arya | 100% | 99% | 88% | 55% | 20% | 3% | - |
38 | LIN Philip T. | 100% | 99% | 91% | 66% | 32% | 9% | 1% |
39 | DOCIL Jack | 100% | 95% | 73% | 36% | 9% | 1% | - |
40 | MENDOZA Diwa | 100% | 90% | 59% | 25% | 6% | 1% | - |
41 | PRIEUR Christian F. | 100% | 98% | 88% | 59% | 24% | 4% | |
42 | WITCZAK Mateus | 100% | 96% | 78% | 43% | 14% | 2% | - |
43 | LIU Isaak | 100% | 62% | 21% | 4% | - | - | - |
44 | PEMMARAJU Sundar | 100% | 98% | 85% | 57% | 25% | 6% | 1% |
45 | HO Jacob | 100% | 94% | 70% | 33% | 8% | 1% | - |
46 | WONG Caleb W. | 100% | 92% | 65% | 30% | 8% | 1% | - |
47 | HAPP Braeden | 100% | 95% | 66% | 27% | 6% | 1% | - |
48 | MCDONALD Finn | 100% | 88% | 55% | 21% | 4% | - | |
49 | MONTALVO Matthew | 100% | 60% | 19% | 3% | - | - | |
50 | LEE Anderson | 100% | 94% | 68% | 31% | 8% | 1% | |
51 | OH Aster | 100% | 100% | 100% | 97% | 81% | 45% | 9% |
52 | LIM Brandon | 100% | 85% | 50% | 18% | 4% | - | - |
53 | KIM Theodore | 100% | 93% | 67% | 32% | 9% | 1% | - |
54 | PENG Victor | 100% | 98% | 83% | 50% | 17% | 3% | - |
54 | BUIKEVICH Ihnat | 100% | 92% | 64% | 28% | 7% | 1% | - |
56 | GRASSO Sebastiano | 100% | 98% | 85% | 57% | 24% | 6% | - |
57 | FTAIHA Ezra | 100% | 52% | 13% | 2% | - | - | - |
58 | JIANG Terence | 100% | 98% | 81% | 46% | 14% | 2% | - |
59 | TAI Roebling | 100% | 85% | 48% | 15% | 2% | - | - |
60 | O'GRADY Declan | 100% | 79% | 38% | 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.