Free FPL xPts projections, transfer planner and manager profile

The model's projected expected goals and expected assists for the selected gameweek, one bar per player. Each bar splits into xG on the left and xA on the right, and xGI is those two added together. Every number here is a forecast for the week ahead. Players are ranked by xGI, and you can sort by xG, xA or xPts instead. Select a player to change their expected goals, assists or minutes for that gameweek or a run of gameweeks.

Projected FPL points for every player, gameweek by gameweek. Search, filter and sort, and click any GW header to sort by that week or hide it. Click a player's gameweek cell to change the numbers behind it, and the whole table recalculates. Pick players to compare and up to ten are drawn on one chart, with their fixtures, recent form, and how often they haul or blank.

Compare outfield players by expected goals, expected assists or combined expected goal involvement. Gameweek forecasts use KFT's fixture-specific expectations and include every relevant scenario edit. Switch between xG, xA and xGI, search players, filter by position, team and price, hide gameweeks, and select any dot to customise that player's minutes, attacking rates and fixture assumptions. Player base rates show the underlying per-90 inputs, which stay the same across gameweeks.

The gameweek defensive map plots KFT's existing team clean-sheet probability against each outfield player's DefCon per 90. Every player from the same team has the same clean-sheet value, while DefCon separates the players. Search and filter the player pool, hide gameweeks, and select any dot to customise DefCon rates, clean-sheet odds and the team or fixture assumptions behind them. Player base rates show DefCon per 90 without a gameweek-specific clean-sheet axis.

Build a free custom FPL player comparison map from KFT's real projection data. Choose xG, xA, xGI, KFT's existing team clean-sheet probability or player DefCon per 90 for either axis. Compare xG with DefCon, xGI with DefCon, or clean-sheet probability with attacking output, then filter the result by player, position, team or price. Select any dot to customise the assumptions behind that player's projection. Gameweek forecasts include fixture context and all your edits, while player base rates use stable per-90 inputs.

Expected points is an average, and averages hide risk. Each player's gameweek is simulated many times over, and the results are grouped into scoring brackets: how often they blank, how often they return, how often they haul. Two players on the same xPts can carry very different floors and ceilings. Select a row to reveal its full spread.