GW32 -- Preview

TLDR:

  • Both models captain Bruno Fernandes despite only 1/11 starting XI agreement
  • v2 model projects 2.9 points higher (53.8 vs 50.9) by trusting baseline projections more
  • Both trigger Wildcard in GW32 with 9-10 transfers, then BB/FH in consecutive weeks
  • Major divergence on Haaland: v1 downgrades him 1.09 points while v2 keeps baseline
  • v1’s z-score adjustments systematically downgrade players with 0.00 elite ownership

Squad Picks (GW32)

The models show stark disagreement with only Bruno Fernandes matching in the starting XI. v2 favors Arsenal assets heavily with Gabriel (5.20 xP), J.Timber (4.60), and Gomez (4.15), while v1 spreads risk across Newcastle’s Dúbravka and Brighton’s Van Hecke. Both include premium midfielders Rice and Gordon, but v1 opts for Wilson over v2’s Gomez in the final midfield slot. The 2.9-point projection gap suggests v1’s elite ownership adjustments are overly conservative for this gameweek.

Slotv1_Playerv1_xPv2_Playerv2_xPMatch
XIDúbravka3.58Verbruggen3.66~
XIThiaw4.58Gabriel5.20~
XIGabriel4.44J.Timber4.60DIFF
XIVan Hecke4.29Thiaw4.29DIFF
XIB.Fernandes (C)7.39B.Fernandes (C)7.39=
XIGordon4.60Rice5.02~
XIWilson4.36Gordon4.43DIFF
XIRice4.34Groß4.40~
XIGroß3.77Gomez4.15DIFF
XIThiago (V)5.18Haaland (V)5.45~
XIHaaland4.36Thiago5.18~
B0Verbruggen3.45Dúbravka3.58~
B2Guéhi3.03Guéhi3.28=
B3O’Reilly2.92O’Reilly3.27=
B1Calvert-Lewin3.20Calvert-Lewin3.68=

Transfer Plan

Both models execute similar Wildcard strategies in GW32, making 9-10 transfers to completely reshape squads for the run-in. The chip sequencing is identical: WC32, BB33, FH34, preserving flexibility for the crucial double gameweeks. Key differences emerge in GW36 transfer plans where v1 makes a single Groß to Sarr move while v2 plans a double transfer replacing Gordon and Gomez with Wilson and Sarr. This suggests v2 anticipates needing more tactical adjustments as fixtures evolve.

GWv1_Transfersv1_Chipv2_Transfersv2_ChipMatch
32Darlow, Raya, Andersen, Virgil, Enzo, Ndiaye, Anderson, Beto, Ekitiké -> Dúbravka, Van Hecke, Groß, Rice, Gordon, Haaland, Verbruggen, Calvert-Lewin, GuéhiWCDarlow, Raya, Andersen, Virgil, Enzo, Ndiaye, Wilson, Anderson, Beto, Ekitiké -> Verbruggen, J.Timber, Gomez, Groß, Gordon, Rice, Haaland, Dúbravka, Calvert-Lewin, GuéhiWCDIFF
33RollBBRollBB=
34RollFHRollFH=
35RollRoll=
36Groß -> SarrGordon, Gomez -> Wilson, SarrDIFF
37RollRoll=
38RollRoll=

Model Divergence

The projection divergences reveal v1’s systematic bias against players with zero elite ownership, most notably Haaland (-1.09), Welbeck (-0.88), and Gabriel (-0.76). All top 10 divergences show v2 higher than v1, with elite_eeo values at or near 0.00, indicating v1’s z-score methodology is penalizing these players despite strong baseline projections. Only Jarrod Bowen shows minimal elite ownership (0.04), suggesting the confidence-gated approach in v2 better preserves strong underlying fundamentals. This pattern explains why v2 achieves higher overall team projection while maintaining similar structural decisions.

NamePosTeamv1_xPv2_xPdelta
Erling HaalandFWDMan City4.365.451.09
Danny WelbeckFWDBrighton3.534.410.88
ID:791FWDWest Ham3.224.030.81
Viktor GyökeresFWDArsenal3.183.970.79
Bukayo SakaMIDArsenal4.705.490.79
ID:730FWDSunderland3.063.820.76
Gabriel dos Santos MagalhãesDEFArsenal4.445.200.76
Jarrod BowenFWDWest Ham4.214.930.72
Mads HermansenGKWest Ham3.083.790.71
Daniel BallardDEFSunderland3.824.530.71

Charts

xP Comparison: v1 vs v2 lineup expected points by gameweek

Projection Scatter: v1 vs v2 player-level projections

v1 Squad Timeline

v2 Squad Timeline