The 9-State Fencing Cup

Y-14 Men's Saber

Sunday, October 20, 2024 at 11:00 AM

Chelsea Piers Athletic Club - Stamford, CT, USA

Probability density of pool victories

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Explore the pool victory probability density 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 NARDINI Nathanael P. - - - 2% 12% 39% 48%
2 SONG Aidan - - 2% 10% 30% 41% 18%
3 SRIVATS Vedh - - 1% 10% 44% 45%
3 JI Johnson - 1% 5% 23% 43% 28%
5 KHANNA Adamantis - - - 2% 12% 39% 47%
6 CLARK Aram - - 1% 5% 21% 42% 31%
7 BARENBOYM Michael - 1% 8% 24% 35% 25% 7%
8 PINTO Marcus - - 1% 5% 20% 41% 34%
9 FADEL Alexander - - 3% 16% 35% 34% 10%
10 YOOK Isaac - - - 1% 7% 34% 58%
11 LOO Jason - - 2% 14% 39% 37% 7%
12 SALDARINI Glenn - - 1% 6% 26% 44% 24%
13 BELAND Riley James "RJ" - 3% 14% 30% 32% 16% 3%
14 LEMERY Marc 1% 7% 22% 34% 26% 10% 1%
15 LORENZ Evan - - 5% 23% 41% 26% 5%
16 CHANG Timothy - 4% 18% 35% 30% 11% 1%
17 TRZEPLA Max - 1% 6% 20% 34% 29% 10%
18 SASSI Ilyas - - 1% 6% 26% 44% 23%
19 MERMEGAS Alexander - 1% 5% 20% 35% 30% 10%
20 LOSQUADRO Joseph 1% 8% 24% 35% 24% 7% 1%
21 LIN Brendan - 1% 10% 29% 37% 19% 3%
22 CRAWFORD William 2% 12% 29% 34% 19% 4% -
23 WAXLER Alex 2% 15% 35% 32% 13% 2% -
24 LAMTAN Christoffer - - 6% 25% 43% 26%
25 LIU Ryan - 3% 14% 32% 34% 15% 2%
26 LEVIN Jacob - 1% 7% 25% 42% 23% 3%
27 ONG Dylan - 1% 8% 24% 37% 25% 4%
28 LAU Kyrus - 3% 13% 28% 32% 19% 5%
29 LIU ERIC - 1% 5% 19% 35% 31% 10%
30 DOSTAL Maximilian - 3% 18% 39% 31% 8%
31 DAI Zihou - - 3% 14% 31% 36% 16%
32 FRANCOIS Gabriel 3% 16% 32% 31% 15% 3% -
33 SAGE Nikolai - - 1% 7% 25% 42% 25%
34 CHAMBERS Miles - - - - 5% 32% 62%
35 ZWAKA Jonas - 2% 12% 31% 35% 17% 2%
36 MELE Gianni 1% 12% 37% 35% 13% 2%
37 LEE Ivan 8% 31% 38% 19% 4% - -
38 NAYAGAM Nishant - 2% 11% 28% 34% 20% 4%
39 WANG Theodore 1% 6% 21% 34% 27% 9% 1%
40 LIEU Nicholas 1% 7% 24% 35% 24% 8% 1%
41 LIEBOWITZ Carson - 3% 14% 30% 33% 17% 3%
42 BERKOWITZ Gavin - - 2% 18% 52% 28%
43 KARAVAS Nicholas - 2% 12% 33% 39% 15%
44 HE Nolan 3% 26% 46% 21% 3% -
44 HOUPT Lucas 6% 29% 38% 21% 5% -
46 LIM JUWANA Maximilian - 4% 17% 32% 31% 14% 2%
47 BENNETT Lachlan 1% 9% 31% 38% 18% 3% -
48 TITOV Zachary - 4% 18% 33% 30% 13% 2%
49 LEIGH Brayden 20% 40% 29% 10% 2% - -
50 MHLEY Gavin 2% 13% 30% 32% 17% 4% -
50 CHEN Brendan - 1% 5% 20% 38% 30% 6%
52 GUPTA Arav 1% 6% 23% 36% 26% 8% 1%
53 SO Morgan 1% 10% 26% 34% 22% 6% 1%
54 NARAYAN Rishi 4% 23% 38% 26% 8% 1% -
55 DAYAMA Ronak 2% 12% 29% 34% 19% 5% -
56 SUBA Mason 2% 12% 28% 33% 19% 5% 1%
57 ORIE Sohan - 2% 13% 36% 37% 12%
58 GRIGORYAN Sevak - 4% 27% 48% 18% 2%
59 MARSHQUIST Miles 18% 46% 29% 7% 1% -
60 SAYAR Luke 4% 21% 36% 27% 10% 2% -
61 QIN Lucas - 3% 14% 32% 35% 16% 2%
62 BROOKS Drake 1% 8% 23% 33% 24% 9% 1%
63 ZHIVICH Theo - 4% 17% 32% 30% 14% 3%
64 DAYO Trev 1% 11% 32% 38% 15% 2% -
65 SHAPIRO Leo 2% 14% 34% 34% 14% 2%
66 HE Eric 18% 47% 30% 5% - -
67 LI Michael 10% 30% 34% 19% 6% 1% -
68 FOUX Jonathan 7% 25% 35% 24% 8% 1% -
69 ABELTSAI Hauke 14% 36% 34% 14% 2% - -
70 OREN Daniel 1% 13% 36% 35% 13% 2% -
71 BURENKOV Matthew 15% 35% 32% 15% 4% - -
72 MATTOO Dhruv 1% 10% 27% 35% 22% 6% -
73 BAKER Alexander 3% 18% 37% 31% 10% 1%
74 HAIRABEDIAN Ellis 34% 41% 20% 5% 1% - -
75 CHAVAN Aditya 9% 29% 35% 20% 6% 1% -
76 DATTILIO Aidan 9% 41% 36% 12% 2% - -
77 MENZIES Liam 11% 32% 35% 17% 4% - -
78 WANG Harrison 10% 30% 34% 19% 6% 1% -
79 PEACE Sam 8% 30% 37% 20% 5% 1% -
80 CARR Silas 47% 39% 12% 2% - - -
81 KULKARNI Ishir 36% 42% 18% 4% - - -
82 CONNOLLY Edward Bud 9% 27% 34% 22% 7% 1% -
83 EARLEY Jack 13% 37% 33% 14% 3% - -
84 DANIELS William 20% 42% 29% 8% 1% - -
85 CUSSON William 15% 38% 32% 13% 2% - -
86 CHAN Ewan 4% 20% 35% 28% 11% 2% -
86 DAI Ethan 32% 43% 20% 4% 1% - -
88 RAJMOHAN Syon 51% 41% 8% - - -
89 NIEJADLIK Samuel 15% 35% 32% 15% 3% - -
89 TANJGA Luka 5% 22% 36% 26% 9% 1% -
91 LI Jayden 40% 41% 16% 3% - -
92 MIAO Heqi 1% 6% 21% 35% 27% 9% 1%
93 SONG Jerry 5% 27% 38% 22% 6% 1% -
94 PATEL Kiran 60% 34% 6% - - - -
95 LI Kent 47% 41% 10% 1% - -

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.