USA Fencing Baltimore SJCC Tournament

Cadet Men's Foil

Friday, February 28, 2020 at 8:00 AM

Baltimore, MD - Baltimore, MD, USA

Probability density of pool victories

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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 DESERANNO Jeidus 100% 100% 100% 100% 98% 88% 50%
2 BAS Liam 100% 100% 99% 90% 64% 28% 6%
3 AUGUSTINE Ethan A. 100% 100% 100% 99% 93% 72% 31%
3 SCHEMBRI MCCORD Kruz T. 100% 100% 97% 81% 46% 12%
5 JOSEPH Dominic (Dom) 100% 100% 99% 94% 74% 39% 10%
6 LAURICELLA Douglas 100% 100% 100% 96% 79% 42% 10%
7 WU Nicholas 100% 100% 99% 93% 72% 37% 9%
8 KWON Ethan 100% 99% 93% 73% 41% 13% 2%
9 FUKUDA Alessio R. 100% 100% 99% 91% 70% 35% 8%
10 HONDA Kazu Z. 100% 100% 99% 91% 67% 32% 7%
11 CHEN Allen 100% 100% 100% 95% 75% 40% 9%
12 KASI Sanjay 100% 100% 100% 96% 82% 51% 15%
13 STANLEY Mason B. 100% 100% 100% 98% 85% 51% 14%
14 MITCHELL Philip D. 100% 100% 97% 83% 53% 20% 3%
14 LI Jiaan 100% 100% 100% 96% 80% 46% 12%
16 SINGH Dayaal 100% 100% 96% 67% 21%
17 ZHANG Henry C. 100% 100% 100% 98% 88% 57% 17%
18 ZHANG Andy W. 100% 100% 95% 75% 40% 10%
19 LEE Aidan 100% 92% 65% 29% 7% 1%
20 JEON Caleb A. 100% 100% 96% 79% 44% 12%
21 PELOSKY Zack B. 100% 100% 95% 65% 20%
22 YEROKHIN Michael N. 100% 100% 97% 81% 48% 15% 2%
23 KOBAL Maximilian 100% 99% 91% 64% 28% 7% 1%
24 KIM Brandon J. 100% 100% 98% 89% 63% 29% 6%
25 WEN George C. 100% 100% 98% 86% 55% 19% 2%
26 DU Samuel R. 100% 100% 94% 72% 38% 12% 2%
27 SONG Dylan S. 100% 98% 86% 58% 25% 6% 1%
28 AHN Jun 100% 99% 89% 59% 24% 5% -
29 KAO Castor T. 100% 100% 96% 69% 22%
30 FUKUDA Renzo K. 100% 99% 89% 60% 24% 4%
31 BUERGIN Aidan 100% 93% 65% 29% 7% 1%
32 WU Alexander 100% 95% 72% 36% 10% 1%
33 HUTH Mitchell 100% 100% 98% 87% 59% 24% 4%
34 BREIER Matthew F. 100% 96% 78% 44% 15% 2%
35 HOOSHI Jayden C. 100% 100% 94% 75% 39% 9%
36 BAE Kevin 100% 100% 99% 90% 63% 27% 5%
37 SHA Yi Peng 100% 99% 93% 70% 34% 9% 1%
38 YANG Luao 100% 100% 100% 95% 77% 42% 11%
39 WU Jerry 100% 99% 94% 74% 41% 13% 2%
40 BELLUOMO David C. 100% 97% 73% 32% 7% 1% -
41 LE Vyn A. 100% 92% 63% 26% 6% -
42 ZHAO Jason L. 100% 100% 96% 80% 45% 12%
43 HOOSHI Dylan M. 100% 100% 96% 80% 47% 13%
44 WU Alexander 100% 99% 95% 76% 42% 11%
45 SCHENCK Koen M. 100% 98% 86% 57% 23% 4%
46 FU Samuel Y. 100% 98% 85% 54% 20% 3%
48 FOGELSON Frederick J. 100% 100% 97% 84% 54% 21% 4%
49 TIAN Aaron C. 100% 98% 87% 58% 25% 6% 1%
50 KEE Andrew L. 100% 93% 68% 33% 10% 2% -
51 SONG Aiden S. 100% 100% 97% 82% 48% 13%
52 FREEDMAN Samuel E. 100% 90% 59% 25% 6% 1%
53 GATZA Logan 100% 80% 41% 12% 2% -
53 GRAHAM Roy J. 100% 99% 89% 63% 28% 6%
55 LI Richard 100% 98% 85% 55% 21% 4%
56 CHEN Andrew 100% 100% 100% 96% 79% 45% 12%
57 DAI Jonathan T. 100% 100% 97% 82% 51% 19% 3%
57 SICHITIU Alexander 100% 99% 85% 53% 21% 5% -
59 KULKARNI Ansh A. 100% 95% 72% 38% 12% 2% -
60 CHUNG Noah J. 100% 85% 47% 15% 3% - -
61 PAE Jonathan L. 100% 94% 69% 34% 10% 1%
62 LI Matthew 100% 81% 44% 14% 3% - -
63 YU Jonathan J. 100% 66% 15% 1% -
64 LIU Eric Y. 100% 92% 64% 29% 8% 1% -
65 ZELTSER Lawrence M. 100% 99% 93% 72% 39% 12% 1%
66 WECHSLER Jacob 100% 89% 49% 15% 3% - -
67 GAO William 100% 57% 10% 1% -
68 BRUK Peter J. 100% 99% 94% 76% 43% 15% 2%
69 BING Charles 100% 100% 97% 81% 48% 16% 2%
70 NAGER Noah 100% 100% 95% 76% 41% 12% 1%
71 OH SEAN 100% 100% 96% 76% 38% 10% 1%
72 TAN Christien 100% 75% 32% 7% 1% - -
73 RUSADZE Nickolas 100% 100% 98% 87% 59% 24% 4%
74 LOVE Aaron 100% 60% 19% 3% - -
75 TSAI Max W. 100% 96% 67% 26% 5% 1% -
76 TORRES Treston 100% 87% 46% 13% 2% - -
77 MARX Oscar L. 100% 100% 97% 84% 53% 20% 3%
77 KNIZHNIK David 100% 52% 13% 2% - - -
79 DRESSEL Jet 100% 52% 12% 1% - - -
80 CHIN Julian S. 100% 98% 83% 51% 18% 3%
81 MENG Zhaoyi 100% 79% 39% 11% 2% -
82 PAE Brian L. 100% 89% 58% 24% 6% 1% -
83 LIN Michael 100% 76% 32% 7% 1% - -
84 BOOTSMA Shane-Anson 100% 76% 34% 9% 1% - -
85 TSIMMERMAN Michael 100% 24% 3% - - - -
85 ADAMS Cyrus 100% 35% 5% - - - -

Explanation

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.