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Waiver / Players / Defenders / Jean-Clair Todibo
Defender · West Ham

Jean-Clair Todibo

2025-26 FPL Draft season Preseason draft rank #589 Status Available
2025-26 season — where he finished
46
DEF #105 · overall #298
total FPL points
0
goals scored
0.2 xG
2.1
points per game
1
bonus points
21 starts
Career arc

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

SeasonPtsPos rankGoalsAssistsMins
2025-26 46DEF #105011,792
GWOppMinPtsGABonxGxAxGIxGCCSBPSICTInflCreatThreatYCRCTckCBIRecDC
GW1SUN A8110000.000.010.010.64092.319.83.10.0003528
GW2CHE H4500000.000.000.001.620-90.65.40.30.0000303
GW3NFO Adid not feature
GW4TOT Hdid not feature
GW5CRY Hdid not feature
GW6EVE Adid not feature
GW7ARS Adid not feature
GW8BRE H9010000.000.000.002.310112.118.40.72.0003548
GW9LEE A9000000.000.010.011.49081.816.41.30.0102466
GW10NEW H9040000.000.010.010.52092.726.00.60.000310213
GW11BUR H9010000.000.010.011.06063.624.010.42.0000848
GW12BOU A9050100.000.120.124.050144.431.810.52.01037710
GW13LIV H9010000.000.010.011.24081.514.01.30.0000585
GW14MUN A9040000.050.060.111.56093.123.20.87.000113314
GW15BHA A9020000.000.000.001.87073.825.210.72.0003649
GW16AVL H9010000.000.010.010.67032.412.411.40.0000242
GW17MCI A9010000.000.000.002.10000.98.20.30.0001172
GW18FUL H9010000.000.030.031.620133.120.610.80.0103629
GW19BHA H4510000.000.010.011.80011.09.40.30.0001425
GW20WOL Adid not feature
GW21NFO H9020000.000.010.011.38052.322.60.30.01028510
GW22TOT A9040000.000.000.001.440202.524.60.30.00055910
GW23SUN H9020000.000.000.000.670121.716.20.80.0001435
GW24CHE A9000000.200.000.202.700-142.214.80.67.00129411
GW25BUR Adid not feature
GW26MUN Hdid not feature
GW27BOU Hdid not feature
GW28LIV Adid not feature
GW29FUL A9090010.000.000.000.891322.118.60.22.00019410
GW30MCI H9040000.000.020.022.030172.019.00.80.00037610
GW31AVL Adid not feature
GW32WOL Hdid not feature
GW33CRY Adid not feature
GW34EVE H110000.000.000.000.05030.22.00.00.0000101
GW35BRE Adid not feature
2024-25 54DEF #71001,824
GWOppMinPtsGABonxGxAxGIxGCCSBPSICTInflCreatThreatYCRC
GW1AVL H510000.000.000.000.07020.33.00.00.000
GW2CRY A210000.000.000.000.03030.22.00.00.000
GW3MCI Hdid not feature
GW4FUL Adid not feature
GW5CHE Hdid not feature
GW6BRE A9020000.100.010.110.370103.223.20.98.000
GW7IPS H9020000.000.000.000.650182.019.40.30.000
GW8TOT A9000000.000.010.011.92024.027.010.52.000
GW9MUN H4510000.000.000.000.63031.29.80.42.000
GW10NFO A9010000.000.000.002.17021.411.21.22.000
GW11EVE H9060000.000.000.001.111242.716.410.40.000
GW12NEW A5610000.000.000.001.34081.111.20.20.000
GW13ARS H9000000.000.000.003.600-31.818.00.40.000
GW14LEI Adid not feature
GW15WOL H210000.000.000.000.17030.00.00.00.000
GW16BOU Adid not feature
GW17BHA H4510000.000.000.000.87031.111.00.00.000
GW18SOU A7170010.000.000.000.851283.027.80.42.000
GW19LIV H4500000.000.000.001.51030.98.60.30.000
GW20MCI A5200000.000.000.000.95020.65.40.20.000
GW21FUL Hdid not feature
GW22CRY Hdid not feature
GW23AVL Adid not feature
GW24CHE Adid not feature
GW25BRE Hdid not feature
GW26ARS A6150000.000.000.000.551221.110.60.70.010
GW27LEI H6560000.000.010.010.121231.38.03.12.000
GW28NEW H6420000.000.000.001.38091.210.80.70.000
GW29EVE A9010000.050.010.060.91022.515.81.68.010
GW30WOL Adid not feature
GW31BOU H8310000.000.000.002.04042.019.00.80.000
GW32LIV A7720000.000.000.001.40080.87.20.30.000
GW33SOU H9020000.000.000.000.640122.524.20.40.000
GW34BHA A9010000.000.010.011.31011.715.61.60.000
GW35TOT H7920000.000.000.000.77041.310.80.42.000
GW36MUN A8260000.000.000.001.781261.110.60.30.000
GW37NFO H9000000.210.000.211.96082.618.20.97.010
GW38IPS A9020000.000.010.010.76062.928.21.10.000

Recent form

2025-26 by gameweek — last 8

0
GW28
9
GW29
4
GW30
0
GW31
0
GW32
0
GW33
1
GW34
0
GW35

Waiver projection

✓ tested on held-out gameweeks
Next 4 gameweeks
4.6pts
~1.1 / GW · our more reliable read
Next gameweek
1.1pts
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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