CChessStats

Central London Chess Congress 2025 - U2000

Open SwissStandard

41 players participated in this 5-round tournament, held from 07 Nov 2025 to 09 Nov 2025 in London SW7, England. 8 federations represented. Top 10 Elo average was 1866, and top seed was Robert Collopy (🇬🇧 ENG, 1931).

Ross Du Berry (🇮🇪 IRL, 1874) won with 4.5/5, ahead of Oliver Finnegan (4.0) and Alejandro Lopez-Martinez (4.0). Du Berry won solo starting round 4.

The biggest upset came in round 2: Silveries Mathias Samuel Benedict (1533) beat Ian Mutton (1894), a +361-point gap.

Location
🇬🇧London SW7, England
Dates
07 Nov 2025 → 09 Nov 2025
Time control
Standard: 90 minutes with 30 second increment from move 1
System
Swiss · 5 rounds
Top seed
🇬🇧Robert Collopy1931
Avg top 10
1,866
Participants
41
Federations · 8 represented
🇬🇧England×29
🇮🇪Ireland×3
🇮🇹Italy×2
🇦🇺Australia×1
🇸🇬Singapore×1
🇨🇭Switzerland×1
🇵🇭Philippines×1
🇲🇾Malaysia×1
Top 3

How it unfolded

Top 6 · 5 rounds

Ross Du Berry led from R4; +0.5-point edge over the runner-up.

Co-leaders
13
7
2
1
1
1.52.545R1R2R3R4R5
R4–R5 · LEAD HELD

Ross Du Berry held the sole lead from R4 through R5 without losing it.

WIN STREAKS · 2 top finishers

Ross Du Berry 4 wins (R1–R4)Nick Webb 4 wins (R2–R5)

Key matchups · top 4

Head-to-head between the four finishers
Player1234
1Ross Du Berry*
½
2Nick Webb*
3Oliver Finnegan
½
*
4Alejandro Lopez-Martinez*

Grille américaine

#PlayerEloFedR1R2R3R4R5PtsBu C1BuSBPerfΔ
1Du Berry, Ross1874IRL+26B+34N+20B+8B=2N4.511.012.010.002089+20.6
2Finnegan, Oliver1802ENG+33N+19B=5N+21B=1B4.012.013.09.002043+30.0
3Lopez-Martinez, Alejandro1820ENG+29B8N+22B+9N+14B4.010.512.09.001959+33.2
4Webb, Nick1869IRL19N+12B+40N+23B+8N4.09.59.57.501927+6.6
5Collopy, Robert1931ENG+22B+9N=2B=14N=6B3.513.015.010.001945+4.4
6Fenwick, Hugh F1855ENGF+31B+12N+11B=5N3.510.510.58.752078+19.0
7Lightbown, Sean M1814ENGF=13N+33B+20N+10B3.58.58.57.252063+41.2
8Bowles, Cennydd1608ENG+30N+3B+10B1N4B3.015.517.08.501909+77.6
9Faulkner, Martin J1780ENG+40N5B+25N3B+19N3.011.511.54.001808+4.2
10Joslin, Tim1844ENG+17N+23B8N+19B7N3.011.013.06.501786-7.2
11Benedict, Silveries Mathias Samuel1533SGP+15N+24BF6N+28N3.010.010.06.502011+47.0
12Sweetnam, James William Ian1729ENG=16B4N6B+39N+35B2.511.011.52.751818+23.6
13Sturt, Charles A1760ENG=18N=7B21N=25B+37B2.510.011.05.001707-6.8
14Levy, Christopher A1803ENGF+37B+35N=5B3N2.59.59.53.751870+7.0
15Abedian, Mohsen1743ENG11B36N+27B+33N=16B2.58.59.54.251672-9.2
16Ramdewar, Ishan1897ENG=12N=32B19N+35B=15N2.58.59.54.251723-22.8
17Pride, Stephen C1687ENG10B=39B24N+30N+34B2.57.58.02.751817+17.6
18Kasprowicz, Peter1588ENG=13BFF+34N+24N2.55.55.54.252082+36.6
19Harris, John1696ENG+4B2N+16B10N9B2.014.016.56.501766+9.2
20Brod, Oliver1652ENG+39N+21B1N7B26N2.012.012.52.501753+25.2
21Scarry, James1860IRL+27B20N+13B2NF2.010.510.54.501725-14.4
22Croasdale, Mark1738ENG5N+40B3N+36B23N2.010.510.51.001677-8.8
23Llewellyn, Julian D1766ENG+36B10NF4N+22B2.010.010.03.001761-0.4
24Mutton, Ian1894ENGF11N+17B+31N18B2.09.59.54.001645-47.6
25Churkin, Andrey1598ENG34B+27N9B=13N=31B2.09.010.04.001683+21.2
26Stewart, Matthew1778AUS1N33BF+29N+20B2.09.09.03.501712-7.2
27Maranon Boscolo, Leonardo1688ITA21N25B15N+40B+36N2.07.57.51.001613-10.2
28Jones, Graeme1779ENGF35N+29B+37N11B2.06.56.52.501637-29.6
29Gonzales, Ceferino1666PHI3N=30B28N26B+39N1.59.510.01.251641-3.2
30Iovino, Leonardo1780ENG8B=29N37N17B+33B1.58.09.01.751509-72.8
31Cooper, Malcolm H1772ENGF6N+39B24B=25N1.58.08.01.501699-8.6
32OGorman, Brendan1773ENGF=16N+36BFF1.53.53.52.251937+8.6
33Gilbertson, Cindy1655ENG2B+26N7N15B30N1.012.013.52.001543-12.6
34Baroukh, Leon1775ENG+25N1BF18B17N1.011.511.52.001494-29.0
35George, Naveen Daniel1673MASF+28B14B16N12N1.09.59.52.001609-6.6
36Borgars, Alan1589ENG23N+15B32N22N27B1.08.510.02.501502-10.0
37Singha, Swati1674ENGF14N+30B28B13N1.08.58.51.501587-8.6
38Ortolani, Paolo1725ITAFFFF+40N1.00.00.00.002436+7.6
39Boudkeev, Timour1796SUI20B=17N31N12B29B0.58.510.01.251335-52.8
40Siddhartha Shankar Srivastava1636IND9B22N4B27N38B0.011.012.00.00960-33.8
41FIDE 3434836150FFFF?B0.00.00.00.009670.0

Key insights

Biggest movers and upsets — the story behind the numbers.

Top rating gainers
Top rating losers
Biggest upsets