CChessStats

17e Open de Flers Tournoi C

Open SwissStandard

15 players participated in this 5-round tournament, held from 11 Apr 2026 to 12 Apr 2026 in Flers, France. Top 10 Elo average was 870, and top seed was Darwin Ramachandran (🇫🇷 FRA, 1482).

Lucien Vela (🇫🇷 FRA, 1405) won with 4.0/5, ahead of Martin Aubeut (4.0) and Martin Bourdon (4.0). Vela shared the lead from round 3, winning on tie-break.

Location
🇫🇷Flers, France
Dates
11 Apr 2026 → 12 Apr 2026
Time control
Standard: 60 minutes with 30 seconds increment from move 1
System
Swiss · 5 rounds
Top seed
Avg top 10
870
Participants
15
Federations · 1 represented
🇫🇷France×8
Top 3

How it unfolded

Top 6 · 5 rounds

Tight race until R5; 4 players tied at 4.0/5, decided on Buchholz.

Co-leaders
6
4
2
1
4
1.52.545R1R2R3R4R5
R5 · TIEBREAK CLUSTER

4 players finish on 4.0/5. Vela takes the title on Buchholz Cut1 (13.5).

WIN STREAKS · 2 top finishers

Maxence Chretien 4 wins (R2–R5)Martin Aubeut 3 wins (R1–R3)

Key matchups · top 4

Head-to-head between the four finishers
Player1234
1Maxence Chretien*
2Martin Bourdon*
0
1
3Martin Aubeut
1
*
0
4Lucien Vela
0
1
*

Grille américaine

#PlayerEloFedR1R2R3R4R5PtsBu C1BuSBPerfΔ
1Vela, Lucien1405FRA+13N+7B+6N+2B3N4.013.514.510.501564+25.2
2Aubeut, Martin1416FRA+11B+5N+3B1N+9B4.013.014.010.001563+23.6
3Bourdon, Martin1456FRA+15N+8B2N+12B+1B4.011.011.07.001576+23.2
4Chretien, Maxence0FRAF+11N+5B+8B+6N4.09.09.09.0015520.0
5Choisnet, Jean-Yves1474FRA+7N2B4N+15B+8N3.012.512.54.501471-0.2
6Derrien, Melis1464FRA+14B+10N1B+9N4B3.011.512.54.50610-23.6
7FIDE 54409078105B1N+11B=10N+12B2.59.510.52.756430.0
8Ramachandran, Darwin1482FRA+9B3N+14B4N5B2.013.014.03.00653-48.0
9FIDE 57602780508N+15B+13N6B2N2.010.010.01.006720.0
10Bineau, Roger0FRAF6B12N=7B+15N1.57.57.51.256730.0
11FIDE 54404410002N4B7N+14N13B1.011.512.51.006160.0
12FIDE 5600541580FF+10B3N7N1.09.59.51.506290.0
13FIDE 56005187601B14N9BF+11N1.08.08.01.006100.0
14FIDE 57602779106N+13B8N11BF1.07.07.01.007000.0
15FIDE 56005526003B9NF5N10B0.010.510.50.006530.0

Key insights

Biggest movers and upsets — the story behind the numbers.

Top rating gainers
Top rating losers