Season Highlights
A brief look to your entire season stats per player
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Team of the Year
Your top scoring players of the season
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All squad players and their point returns
ID Name Pos Lineup Bench Capt Points Gain Pts
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Points Analysis per Player
Impact of each player on your season - realized and predicted
The prediction values are courtesy of FPLReview Free Model
Total realized gain / loss per player
Name Team Pos Pts Gain Loss Net Impact
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Total predicted gain / loss per player
Name Team Pos xPts xGain xLoss xNet xImpact
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Total luck per player
Name Team Pos Net xNet Luck Impact
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Team Picks over Season
A visualization of your picks per position
Points by Acquisition Type and Decision Age
Details about where points originated with decision age details
Point Distribution
Distribution of your points from each type
Total counts of key events per GW
GW Clean Sheet Goal Assist Bonus Hits Points
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Point distribution per event type
Type Count Total Per Player Points Percentage
{{ player_stat_types[key].name }} {{ player_stat_types[key].pp ? value.length : "-" }} {{ getSum(value.map(i => parseInt(i.value))) }} {{ player_stat_types[key].pp ? rounded(getSum(value.map(i => parseInt(i.value))) / user_stats_per_gw.total_picks,2) : "-" }} {{ getSum(value.map( i=> parseInt(i.points * i.multiplier))) }} {{ rounded(getSum(value.map( i=> parseInt(i.points * i.multiplier))) / user_stats_per_gw.overall_total * 100, 1) }}%
Hits {{ user_stats_per_gw.points.filter(i => i.hit_pts > 0).length }} {{ getSum(user_stats_per_gw.points.map(i => i.hit_pts))/4 }} {{ -getSum(user_stats_per_gw.points.map(i => i.hit_pts)) }} {{ rounded(-getSum(user_stats_per_gw.points.map(i => i.hit_pts)) / user_stats_per_gw.overall_total * 100, 1) }}%
Total {{ user_stats_per_gw.overall_total }}
Detailed points returns per event type and GW
Target Event Ratios
Success ratio on defense/attack picks
Target Success Picks Success Ratio Info
{{ key }} {{ v.count }} {{ v.total }} {{ rounded(v.count / v.total * 100, 2) }}% {{ v.info }}
Enter a team ID to compare
Success and returns out of key stats
GID GW Player Pos Stat Pts Success
GID GW Player Pos Stat Pts Success
Timings of ownership
Time periods of owning your key players
Lineup Bench
Ownership / Differential Analysis
Gains and losses from key players
Gain Loss
GW
GW Gain
GW Loss
Top Gains
Top Losses
Gain Analysis
GW Player Points Mult EO% Net Effect
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GW Player Points Mult EO% Net Effect
This table shows your lineup picks, their corresponding points per week and your relative gain. Gain is equal to points multiplied with your ownership rate (Multiplier * 100 - EO), which shows you the relative gain compared to field average.
Loss Analysis (Key Players)
GW Player Points EO% Net Effect
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GW Player Points EO% Net Effect
This table shows players you haven't picked, their corresponding points per week and your relative loss. Loss is equal to points multiplied with effective ownership rate (EO), which shows you the relative loss compared to field average.
Risk Analysis
GW
Differential Rate
Change
Top Bets For
Top Bets Against
This scatter plot shows your relative change to average and your differential (risk) percentage. This value is calculated based on how different your lineup compared to tier effective ownership. It is a measure of how much you are betting against the template.
Predicted / Realized Performance
Decision making quality compared to actual outcome
Predicted Realized
In the tables below, it is assumed that the FPLReview predicted values are true expectations. Therefore, any outcome up to the predictions is measured as "skill" and remaining difference (above or below) is measured as "luck" even though this might not be actually true. The aim here is to evaluate decision making quality, and see how much unpredicted outcomes have affected your season, either good or bad. "Diff" refers to point difference between you and the tier average you have selected. Even if GW ends up with more or less points than predicted, we expect difference to be around the pre-GW prediction.
GW-by-GW values
GW Pred. Pts Real. Pts Pred. Diff Real. Diff GW Luck GW Rank
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GW Pred. Pts Real. Pts Pred. Diff Real. Diff GW Luck GW Rank
Total values
GW Pred. Pts Real. Pts Pred. Diff Real. Diff Luck OR
{{ v.gw }} {{ rounded(v.total_xp) }} {{ (v.total_rp) }} {{ rounded(v.total_exp_diff) }} {{ rounded(v.total_real_diff) }} {{ rounded(v.total_exp_real_diff) }} {{ team_data[v.gw].entry_history.overall_rank }}
GW Pred. Pts Real. Pts Pred. Diff Real. Diff Luck OR
Skill/Luck Magnitude Proportion
GW GW Skill GW Luck Total Skill Total Luck
{{ v.gw }} (-) {{ Math.abs(v.skill_ratio) }}% (-) {{ Math.abs(v.luck_ratio) }}% (-) {{ Math.abs(v.total_skill_ratio) }}% (-) {{ Math.abs(v.total_luck_ratio) }}%
GW GW Skill GW Luck Total Skill Total Luck
What-if Luck-Meter
You have finished season with {{ _.round(final_outcome.total_real_diff,1) }} relative points compared Prime Sample. To get OR #1 you needed {{ season_targets[0][2] }}.
Move the Luck Slider below to see where you could have ended!
It shows the magnitude weight of luck (variance) compared to sum of skill (predicted) and luck (variance) and calculates your final difference to tier average.
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Skill
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+
 
Luck
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=
 
Total
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With this result, you would finish in OR
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Transfer Quality Analysis
A review of transfers with hindsight/foresight analysis
Comparison of predicted/realized points in following 5 GWs (excluding hits)
Hindsight Optimal Ratio
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Foresight Optimal Ratio
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Avg. Transfer xP Optimality
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GW Range Sold Bought rP Diff xP Diff Hindsight Optimal Foresight Optimal xP Optimality
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{{ entry.bought == entry.best_xp.id ? "FS Optimal" : "" }}
{{ entry.bought == entry.best_rp.id ? "HS Optimal" : "" }}
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rp Diff: {{ getWithSign(entry.best_rp.rp_diff, 0) }}
xP Diff: {{ getWithSign(entry.best_rp.xp_diff, 1) }}
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rp Diff: {{ getWithSign(entry.best_xp.rp_diff, 0) }}
xP Diff: {{ getWithSign(entry.best_xp.xp_diff, 1) }}
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Fixture Difficulty Analysis
Fixture difficulty ratings of your picks through season using FiveThirtyEight data
Defense Difficulty
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{{ rounded(team.offense_ratio*100,0) }}%
Offense Difficulty
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{{ rounded(team.defense_ratio*100,0) }}%
Fixture Difficulty per Player Pick
GW Name Pos Team Opp Diff. Ratio Points
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Distribution of Selection per FDR Tier
Tier GK DF MD FW Total
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Position / Price Category Analysis
Total points per position and price category
Price categories (Budget, Mid-Price, Premieum) are as follows: GK Below 5, 5-5.5, Above 5.5 - DF Below 5, 5-6, Above 6 - MD Below 7.5, 7.5-10, Above 10 - FW Below 7.5, 7.5-10, Above 10
Point Distribution Treemap (Gain)
Gain is equal to points multiplied with your ownership rate (Multiplier * 100 - EO), which shows you the relative gain compared to field average.
Point Distribution Treemap (Effective Loss)
Loss is equal to points against multiplied with effective ownership rate, which shows you the relative loss compared to field average.
Formation Analysis
Chosen formations and returns
Position Picked (GW) Games Points Points per pick (GW) Points per game Average pick
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Performance per formation type (after auto-sub)
Formation Picked Points Average Pts
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