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Waiver / Players / Defenders / Dennis Cirkin
Defender · Sunderland

Dennis Cirkin

2025-26 FPL Draft season Preseason draft rank #734 Status Available
2025-26 season — where he finished
14
DEF #150 · overall #416
total FPL points
0
goals scored
0.1 xG
1.8
points per game
0
bonus points
3 starts
Career arc

Season by season — tap a season for game-by-game

SeasonPtsPos rankGoalsAssistsMins
2025-26 14DEF #15000319
GWOppMinPtsGABonxGxAxGIxGCCSBPSICTInflCreatThreatYCRCTckCBIRecDC
GW1WHU Hdid not feature
GW2BUR Adid not feature
GW3BRE Hdid not feature
GW4CRY Adid not feature
GW5AVL Hdid not feature
GW6NFO Adid not feature
GW7MUN Adid not feature
GW8WOL Hdid not feature
GW9CHE Adid not feature
GW10EVE Hdid not feature
GW11ARS Hdid not feature
GW12FUL Adid not feature
GW13BOU Hdid not feature
GW14LIV Adid not feature
GW15MCI Adid not feature
GW16NEW Hdid not feature
GW17BHA Adid not feature
GW18LEE H9020000.000.010.012.17052.622.22.22.0001819
GW19MCI H9080000.000.010.012.251292.722.64.40.00065211
GW20TOT A5800000.000.000.000.960-10.54.60.60.0101122
GW21BRE A1110000.000.000.000.44020.10.60.30.0000000
GW22CRY H210000.000.000.000.00040.22.20.10.0000202
GW23WHU A4510000.000.000.000.22050.76.01.10.0000222
GW24BUR Hdid not feature
GW25ARS Adid not feature
GW26LIV Hdid not feature
GW27FUL Hdid not feature
GW28BOU Adid not feature
GW29LEE Adid not feature
GW30BHA H510000.080.000.070.00000.30.00.26.0000010
GW31NEW Adid not feature
GW32TOT Hdid not feature
GW33AVL Adid not feature
GW34NFO Hdid not feature
GW35WOL A1800000.000.000.000.450-10.41.00.82.0100202
2019-200DEF #222000

Recent form

2025-26 by gameweek — last 8

0
GW28
0
GW29
1
GW30
0
GW31
0
GW32
0
GW33
0
GW34
0
GW35

Waiver projection

✓ tested on held-out gameweeks
Next 4 gameweeks
4.9pts
~1.2 / GW · our more reliable read
Next gameweek
1.2pts
single-GW estimate · noisier

These come from a position-specific model trained on three seasons and tested on gameweeks it never saw. It’s a real edge, not a crystal ball — single-gameweek football is noisy, so the 4-week figure is the more dependable read. We publish the model’s actual accuracy (how we measure it) instead of asking you to take the number on faith.

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