CChessStats

Allsvenskan 2025-2026: I:1 r5-6 feb

Team SwissStandard

71 players participated in this 6-round tournament, held from 01 Feb 2026 to 22 Feb 2026 in Sweden, Sweden. 9 titled players from 6 federations. Top 10 Elo average was 2245, and top seed was Ludvig Sandstrom (🇸🇪 SWE, 2327).

Stephan Wagner (🇦🇹 AUT, 2258) won with 2.0/6, ahead of Jan Johansson (2.0) and Tomas Lindblad (2.0). Wagner shared the lead from round 1, winning on tie-break.

The biggest upset came in round 6: John Zunrong Liu (1716) beat Jonathan Bernhard (2056), a +340-point gap.

Location
🇸🇪Sweden, Sweden
Dates
01 Feb 2026 → 22 Feb 2026
Time control
Standard: 90min/40moves+30min/end+30sec increment per move starting from move 1
System
Team · 6 rounds
Top seed
🇸🇪Ludvig Sandstrom2327
Avg top 10
2,245
Participants
71
Titled players · 9
IM×1
FM×2
CM×4
WIM×2
Federations · 6 represented
🇸🇪Sweden×65
🇫🇷France×1
🇳🇴Norway×1
🇷🇸Serbia×1
🇦🇹Austria×1
🇩🇪Germany×1
Top 3

Standings

Click row to expand · Cmd+click name for new tab
#PlayerFedEloPtsAvg opp.PerfΔ Elo
1Wagner, Stephan🇦🇹AUT22582.021142914+12.6
2IMJohansson, Jan🇸🇪SWE22522.021882988+8.5
3Lindblad, Tomas🇸🇪SWE19932.018892689+15.6
4Agrest, Simon🇸🇪SWE20011.521522345+15.6
8Loven, Anders🇸🇪SWE20261.519832176+8.4
5Sandstrom, Ludvig🇸🇪SWE23271.522492442+5.6
9Sanden, Stefan🇸🇪SWE22481.520812274+0.8
6Wingborg, Mats🇸🇪SWE19481.519342127+9.2
7Sittenfeld, Johan🇸🇪SWE21231.520392232+6.4
10Soppela, Toni🇸🇪SWE20921.021082108+1.4
24Vaarala, Eric🇸🇪SWE23051.022252225-4.0
30Rosenthal, Emanuel🇸🇪SWE20091.020992099+4.6
25Sjoberg, Roger🇸🇪SWE21541.020382038-6.2
27Hogberg, Thomas🇸🇪SWE19821.018301830-6.8
14Malm Lindberg, Henrik🇸🇪SWE21131.019612761+6.0
15Johansen, Peter🇸🇪SWE20761.020062806+7.8
16Engstrom, Staffan🇸🇪SWE20391.020442844+10.0
13Herman, Mateusz 2010🇸🇪SWE19761.020312031+7.2
28Andersson, Anders🇸🇪SWE20151.018761876-5.4
63CMFernandez, Juan Pablo🇸🇪SWE20391.020421242-10.0
11Darnell, Anton🇸🇪SWE20121.021712971+14.4
12Hellstroem, Neo🇸🇪SWE01.021512951+22.8
17Hammarstrom, Ulf🇸🇪SWE21771.020692869+6.8
18CMHagevi, Vidar🇸🇪SWE21351.021512951+8.8
19Braathen, Tom🇸🇪SWE19781.020802880+12.4
20Lindstrom, Leif🇸🇪SWE19971.017772577+8.8
21Zunrong Liu, John🇸🇪SWE17161.020692869+34.4
22CMWenzel, Birger🇩🇪GER20211.019952795+7.8
23Soderberg, Filip🇸🇪SWE19011.020162816+12.6
26Oberg, Mikael🇸🇪SWE20981.020962896+9.4
29Kollbrink, Mats🇸🇪SWE18391.021042904+16.4
31CMHjorth, Gunnar🇸🇪SWE21490.520492049-2.8
40Larsson, Ingemar🇸🇪SWE19630.5194819480.0
42Lindgren, Fredrik🇸🇪SWE22500.521232123-3.2
46Akeborg, Jonatan🇸🇪SWE19270.520122012+0.8
32Bergman, Nils🇸🇪SWE21090.523022302+4.8
33Jouandet-Dahlen, Alfons🇫🇷FRA19960.520812081+6.4
34WIMDjukic, Sandra🇷🇸SRB20690.520702070-0.8
35Dolata, Henryk🇸🇪SWE19430.520512051+1.8
36Nygren, David🇸🇪SWE21120.519891989-1.8
37Isaksson, Henrik🇸🇪SWE20940.520672067-1.0
38Willstedt, Lukas🇸🇪SWE21780.520152015-1.0
39Carlsson, Nils🇸🇪SWE20620.520892089-0.2
41Sollerman, Mattias🇸🇪SWE20910.520972097+0.8
43WIMTetenkina, Irina🇸🇪SWE20920.520982098+0.2
44Marttala, Thomas🇸🇪SWE21210.521012101+1.0
45Mehlstrand, Jimmy🇸🇪SWE19700.520532053+1.0
50Larsson, Johan🇸🇪SWE21830.022451445-8.6
53Dahlkvist Hartwig, Sture🇸🇪SWE17330.019701170-13.6
55Amnell, Mats🇸🇪SWE19320.019701170-8.8
61Lundin, Anders🇸🇪SWE21400.021491349-20.2
62Prabu, Dananjey🇸🇪SWE20470.022451445-16.8
66FMMalmstig, Erik🇸🇪SWE22310.022611461-9.0
68Bernhard, Jonathan🇸🇪SWE20560.019761176-24.0
49FMMalmdin, Nils-Ake🇸🇪SWE20940.022521452-5.4
54Kling, Anders🇸🇪SWE22160.023291529-6.4
65Karlsson, Patrik🇸🇪SWE19140.019481148-9.2
67Stromgard, Martin🇸🇪SWE18390.021231323-3.2
47Modig, Ville🇸🇪SWE16330.019811181-4.8
48Pousaneh, Faezeh🇳🇴NOR18290.019991199-8.8
51Lilliehook, Victor🇸🇪SWE21360.020031203-28.8
52Larsson, Max🇸🇪SWE19700.019611161-9.6
56Karde, Douglas🇸🇪SWE21400.021541354-6.6
57Podgornov, Kirill🇸🇪SWE16210.020061206-4.8
58Liefvendahl, Mattias🇸🇪SWE19990.020721272-7.8
59Gunnare, William🇸🇪SWE20720.019911191-12.4
60Svensson, Mans🇸🇪SWE21080.018391039-16.4
64FIDE 56300401100.0204412440.0
69Lindblom, Peter🇸🇪SWE19630.020041204-8.2
70Hedin, Gunnar🇸🇪SWE20900.021161316-9.4
71Styf, Josef🇸🇪SWE20030.019231123-12.6

Key insights

Biggest movers and upsets — the story behind the numbers.

Top rating gainers
Top rating losers
Biggest upsets