CChessStats

2026 Marshall Chess Club U12 Junior Championship

Open SwissStandard

42 players participated in this 5-round tournament, held from 30 Jan 2026 to 01 Feb 2026 in New York, NY, United States. 1 titled players from 2 federations. Top 10 Elo average was 1679, and top seed was Kara Chan (🇨🇦 CAN, WCM, 1832).

Aarav Singh (🇺🇸 USA, 1832) won with 4.5/5, ahead of Max Mulholland (4.5) and Kevin Xu (3.5). Singh shared the lead from round 4, winning on tie-break.

The biggest upset came in round 1: Abeer Sethi (1476) beat Kara Chan (WCM, 1832), a +356-point gap.

Location
🇺🇸New York, NY, United States
Dates
30 Jan 2026 → 01 Feb 2026
Time control
Standard: 90 minutes with 30 second increment from move 1
System
Swiss · 5 rounds
Top seed
🇨🇦WCMKara Chan1832
Avg top 10
1,679
Participants
42
Titled players · 1
WCM×1
Federations · 2 represented
🇺🇸United States of America×37
🇨🇦Canada×1
Top 3

How it unfolded

Top 6 · 5 rounds

Tight race until R3; 2 players tied at 4.5/5, decided on Buchholz. Title race narrowed from 3 co-leaders at R4 to 2 at the finish.

Co-leaders
12
5
1
3
2
1.52.545R1R2R3R4R5
R3–R5 · LEAD HELD

Max Mulholland held the sole lead from R3 through R5 without losing it.

R5 · TIEBREAK CLUSTER

2 players finish on 4.5/5. Singh takes the title on Buchholz Cut1 (13.0).

R1–R3 · WIN STREAK

Max Mulholland won 3 in a row (R1–R3).

Key matchups · top 4

Head-to-head between the four finishers
Player1234
1Max Mulholland*
1
2Aarav Singh*
1
3Myra Nigam
0
*
4Aileen Lou
0
*

Grille américaine

#PlayerEloFedR1R2R3R4R5PtsBu C1BuSBPerfΔ
1Singh, Aarav1832USA+16B+5N=7B+6N+9N4.513.015.013.502443+20.4
2Mulholland, Max0USA+24B+8N+22B=3N+4B4.512.014.012.2516700.0
3Xu, Kevin1691USAF+26B+12N=2B+8B3.512.512.510.252399+14.8
4Lou, Aileen1605USA=35N+27B+18N+14B2N3.511.012.07.001834+32.8
5Nigam, Myra1615USA+40B1B+37N+10B=14N3.511.011.55.751713+26.8
6Mutha, Kabir Partha1671USA+17N=31B+32N1B+25B3.510.011.56.251642-4.4
7Mak, Owen0USA+19B+11N=1N9B=15B3.013.015.08.5018000.0
8Anand, Ekam Singh0USA+39B2B+17N+11B3N3.013.014.06.0016600.0
9Duong, Kimberly0USAF+36B+20N+7N1B3.010.510.56.0017090.0
10Spellman, Ayden1502USA+38B22N+21B5N+19B3.09.510.55.001447-8.8
11Finkin, Oscar Naoki1630USA+42N7B+35B8N+16B3.09.09.03.002332+14.8
12Waters, Kai1600USA+41B+21N3BF+23N3.08.08.04.501703+16.8
13Chan, KaraWCM1832CAN31NF+29B+38B+18N3.06.56.55.001474-31.6
14Bernstein, Charles B1628USAF+29N+31B4N=5B2.510.510.55.251637+1.6
15Begley, Lowell Brooks1568USAF20B+33N+34B=7N2.58.08.04.50872-14.4
16Vasilatos, Carolina0USA1N+41B38N+21B11N2.010.511.02.5015310.0
17Qin, Sophia0USA6B+24N8B=37N=32N2.010.011.03.2514390.0
18Zhang, Darren0USAF+28N4B+31N13B2.010.010.03.5016270.0
19McNaughton, Kirill Sebastian0USA7N+42B=23N=20B10N2.010.010.02.0014440.0
20Ma, Yunhui1672USAF+15N9B=19N=28B2.09.59.54.501774+10.4
21Nigam, Shyra1508USA+33B12B10N16N+42B2.09.59.51.50751-35.6
22Chang, Charlotte Tai-En1594USA+34N+10B2NFF2.09.09.04.502302+15.2
23Hoffman, Ari1534USAF=25N=19B+26N12B2.09.09.04.00799-16.4
24Seto, Brendan T0USA2N17B36N+40N+37B2.08.59.01.5014940.0
25Kelletshofer, Niklas0USAF=23B=34N+32B6N2.08.58.53.2516080.0
26Li, David0USAF3N+30B23B+36N2.08.58.53.0015520.0
27Lim, Ayden1523USAF4N=28B=35N+33B2.08.08.03.001453-11.2
28Chan, William1596USAF18B=27N+36B=20N2.07.07.03.001711+18.0
29Lin, Lawrence1471USAF14B13N+41N+35B2.07.07.01.501538+7.6
30Li, Henry Mingzhe1420USAF32B26N+39N+31B2.06.06.02.501548+13.6
31Sethi, Abeer1476USA+13B=6N14N18B30N1.511.013.04.751550+10.4
32Xu, Mark1618USAF+30N6B25N=17B1.59.59.53.001546-7.6
33FIDE 566005329021N=37B15B+42N27N1.57.57.50.5011780.0
34Tsang, Brendan0USA22B+40N=25B15NF1.57.07.01.5014130.0
35Wong Okyere, Darwin C1533USA=4BF11N=27B29N1.010.510.52.751364-34.4
36Zhang, Plato1567USAF9N+24B28N26B1.09.09.02.00796-18.0
37Lin, Gabriel1402USAF=33N5B=17B24N1.09.09.01.75814-9.2
38FIDE 566005302010NF+16B13NF1.08.08.02.008660.0
39FIDE 3998053708NFF30B+40N1.05.55.50.5014380.0
40Chu, Caroline1456USA5N34B=41N24B39B0.58.08.50.25814-11.6
41Wu, Alexander0USA12N16N=40B29BF0.57.57.50.2512360.0
42FIDE 39985709011B19NF33B21N0.08.58.50.007690.0

Key insights

Biggest movers and upsets — the story behind the numbers.

Top rating gainers
Top rating losers
Biggest upsets