Season Highlights
A brief look to your entire season stats per player
Loading the data can take a few seconds.
Predicted / Realized Performance
Decision making quality compared to actual outcome
Predicted
Realized
GW-by-GW values
GW | Pred. Pts | Real. Pts | Pred. Diff | Real. Diff | GW Luck | GW Rank |
---|---|---|---|---|---|---|
{{ v.gw }} | {{ rounded(v.xp) }} | {{ (v.rp) }} | {{ rounded(v.exp_diff) }} | {{ rounded(v.real_diff) }} | {{ rounded(v.luck) }} | {{ team_data[v.gw].entry_history.rank }} |
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 |
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
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) || [0]))/4 }} | {{ -getSum(user_stats_per_gw?.points?.map(i => i.hit_pts) || [0]) }} | {{ rounded(-getSum((user_stats_per_gw?.points?.map(i => i.hit_pts)) || [0]) / (user_stats_per_gw?.overall_total || 1) * 100, 1) }}% | |
Total | {{ user_stats_per_gw?.overall_total || 0 }} |
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 |
---|---|---|---|---|---|---|
{{ p.fixture }} | {{ p.gw }} | {{ p.name }} | {{ element_type[p.eltype].short }} | {{ key }} | {{ p.returns }} | {{ p.success ? "True" : "False"}} |
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 |
---|---|---|---|---|
{{ pair.gw }} | {{ fpl_element[pair.id].web_name }} | {{ pair.pts }} | {{ pair.eo }}% | {{ rounded(pair.net,2) }} |
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.
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
{{ transfer_analysis.hs_ratio }}
{{ transfer_analysis.hs_ratio }}
Foresight Optimal Ratio
{{ transfer_analysis.fs_ratio }}
{{ transfer_analysis.fs_ratio }}
Avg. Transfer xP Optimality
{{ rounded(transfer_analysis.tr_optimality,1) }}%
{{ rounded(transfer_analysis.tr_optimality,1) }}%
GW | Range | Sold | Bought | rP Diff | xP Diff | Hindsight Optimal | Foresight Optimal | xP Optimality |
---|---|---|---|---|---|---|---|---|
{{ entry.gw }} | {{ entry.gw_list }} | {{ fpl_element[entry.sold].web_name }} |
{{ fpl_element[entry.bought].web_name }}
{{ entry.bought
== entry.best_xp.id ? "FS Optimal" : "" }}
{{ entry.bought
== entry.best_rp.id ? "HS Optimal" : "" }}
|
{{ getWithSign(entry.rp_diff,0) }} | {{ getWithSign(entry.xp_diff,1) }} |
{{ entry.best_rp.web_name }}
rp Diff: {{
getWithSign(entry.best_rp.rp_diff, 0) }}
xP Diff: {{ getWithSign(entry.best_rp.xp_diff,
1) }}
|
{{ entry.best_xp.web_name }}
rp Diff: {{ getWithSign(entry.best_xp.rp_diff,
0) }}
xP Diff: {{
getWithSign(entry.best_xp.xp_diff, 1) }}
|
{{ entry.xp_ratio }} |
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, 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 |
---|---|---|---|---|---|---|
{{ element_type[key].name }} | {{ value.picked }} | {{ value.games }} | {{ value.points }} | {{ rounded(value.ppp,2) }} | {{ rounded(value.ppg,2) }} | {{ rounded(value.avg_pick,2) }} |
Average Formation:
{{ rounded(value.avg_pick,2) }} -
Performance per formation type (after
auto-sub)
Formation | Picked | Points | Average Pts |
---|---|---|---|
{{ value.formation }} | {{ value.count }} | {{ value.points }} | {{ rounded(value.avg, 2) }} |