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
All squad players and their point returns
ID  Name  Pos  Lineup  Bench  Capt  Points  Gain Pts 

{{ p.id }}  {{ p.name }}  {{ element_type[p.position].short }}  {{ p.lineup_count }}  {{ p.squad_count  p.lineup_count }}  {{ p.cap_count }}  {{ p.points_total }}  {{ p.points_total_rel }} 
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 

{{ fpl_element[p.id].web_name }}  {{ team_codes[fpl_element[p.id].team_code].short }}  {{ element_type[fpl_element[p.id].element_type].short }}  {{ p.points }}  {{ rounded(p.gain) }}  {{ rounded(p.loss) }}  {{ rounded(p.net) }}  {{ rounded(p.impact) }}% 
Total predicted gain / loss per player
Name  Team  Pos  xPts  xGain  xLoss  xNet  xImpact 

{{ fpl_element[p.id].web_name }}  {{ team_codes[fpl_element[p.id].team_code].short }}  {{ element_type[fpl_element[p.id].element_type].short }}  {{ rounded(p.xpoints) }}  {{ rounded(p.xgain) }}  {{ rounded(p.xloss) }}  {{ rounded(p.xnet) }}  {{ rounded(p.ximpact) }}% 
Total luck per player
Name  Team  Pos  Net  xNet  Luck  Impact 

{{ fpl_element[p.id].web_name }}  {{ team_codes[fpl_element[p.id].team_code].short }}  {{ element_type[fpl_element[p.id].element_type].short }}  {{ rounded(p.net) }}  {{ rounded(p.xnet) }}  {{ getWithSign(p.luck) }}  {{ rounded(p.luckimpact) }}% 
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 

{{ p.gw }}  {{ p.info.type_sums['clean_sheets']  0 }} {{ p.info.type_names['clean_sheets']  '' }}  {{ p.info.type_sums['goals_scored']  0 }} {{ p.info.type_names['goals_scored']  '' }}  {{ p.info.type_sums['assists']  0 }} {{ p.info.type_names['assists']  '' }}  {{ p.info.type_sums['bonus']  0 }} {{ p.info.type_names['bonus']  '' }}  {{ p.hit_pts/4 }}  {{ p.net_pts }} 
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 

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GID  GW  Player  Pos  Stat  Pts  Success 
Timings of ownership
Time periods of owning your key players
Ownership / Differential Analysis
Gains and losses from key players
GW
GW Gain
GW Loss
Top Gains
Top Losses
Gain Analysis
GW  Player  Points  Mult  EO%  Net Effect 

{{ pair.gw }}  {{ fpl_element[pair.id].web_name }}  {{ pair.pts }}  {{ pair.multiplier }}  {{ pair.eo }}%  {{ rounded(pair.net,2) }} 
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
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 preGW prediction.
GWbyGW 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 

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GW  Pred. Pts  Real. Pts  Pred. Diff  Real. Diff  Luck  OR 
Skill/Luck Magnitude Proportion
GW  GW Skill  GW Luck  Total Skill  Total Luck 

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GW  GW Skill  GW Luck  Total Skill  Total Luck 
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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Team / Opposition Analysis
Stats about players picked from teams and played against opposition
Team  Played For  Points For  For Percentage  Played Against  Points Against  Against Percentage  

Position / Price Category Analysis
Total points per position and price category
Price categories (Budget, MidPrice, Premieum) are as follows: GK Below 5, 55.5, Above 5.5  DF Below 5, 56, Above 6  MD Below 7.5, 7.510, Above 10  FW Below 7.5, 7.510, 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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Average Formation:
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Performance per formation type (after autosub)
Formation  Picked  Points  Average Pts 

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