Raw Markdown Standings CSV Win/Loss Streaks CSV Score Bands CSV Matchup Luck CSV Timing CSV Position CSV Position Averages CSV Waiver Wins CSV Waiver Losses CSV Waiver Events CSV Lineal Belt CSV Belt Records CSV

BMS FPL Draft League Analysis

League 4365 through GW38. API game status: current_event 38, next_event None, current_event_finished True.

Use the dropdown sections below to open or hide each metric.

Best Quick Hits

Standings

Use this table for the plain league table: record, league points, scoring totals, and simple weekly high/low counts.

Definitions and calculation notes
  • H2H Pts: league table points from weekly head-to-head results, with 3 for a win and 1 for a draw.
  • PF: points for, meaning the total starter points a team actually scored.
  • PA: points against, meaning the total points scored by that team's weekly opponents.
  • Avg: PF divided by gameweeks played.
  • Top Scores: weeks where that team had the highest score in the league.
  • Bottom Scores: weeks where that team had the lowest score in the league.
RankTeamRecordH2H PtsPFPAAvgTop ScoresBottom Scores
1**Cunha Believe it?!27-0-11811764144446.442
2Sue-nited FC*24-0-14721681164244.283
3Into the WOODwork*21-2-15651527146840.232
4Grand-Larseny20-1-17611656167243.663
5eze as u like b*%chs20-0-18601659156643.764
6Bowen Arrows19-0-19571577153641.533
7*Saka It To Me Baby16-0-22481495157239.348
8ChabosSpurs@Law14-0-24421485169239.135
9Santa’s reijnders13-2-23411506156639.633
10Amorim de mi vida13-1-24401453164538.239

Winning And Losing Streaks

Use this table to see each team's longest winning run and longest losing run.

Definitions and calculation notes
  • A winning streak is consecutive H2H wins. A losing streak is consecutive H2H losses.
  • Draws break both streak types.
  • Longest Win Streak is the team's longest consecutive-win run.
  • Longest Loss Streak is the team's longest consecutive-loss run.
  • Win GW(s) and Loss GW(s) show up to the first three matching streak ranges; +N more means there were additional matching streaks.
TeamLongest Win StreakWin GW(s)Longest Loss StreakLoss GW(s)
**Cunha Believe it?!1128-3831-3
Sue-nited FC*728-3445-8
ChabosSpurs@Law620-251326-38
eze as u like b*%chs47-10, 24-27, 35-38413-16, 31-34
Into the WOODwork*431-34419-22
Grand-Larseny428-31517-21
Amorim de mi vida418-21612-17, 29-34
*Saka It To Me Baby325-27433-36
Bowen Arrows313-15534-38
Santa’s reijnders31-3, 33-3558-12

Score Bands

Use this table to see how often each team landed in the top, middle, or bottom scoring bands for a gameweek.

Definitions and calculation notes
  • Percentages are based on completed gameweeks.
  • Top 1 is the share of gameweeks where the team tied or held the highest score.
  • Top 3 and Top 5 use weekly score cutoffs, so ties at the cutoff are included.
  • Bottom 5, Bottom 3, and Bottom 1 work the same way from the bottom of that week's scores.
  • Because tied cutoff scores are included, Top 5 and Bottom 5 can add to more than 100% for a team when tied scores straddle the middle of a week.
TeamTop 1Top 3Top 5Bottom 5Bottom 3Bottom 1
Sue-nited FC*21.1%47.4%68.4%34.2%23.7%7.9%
Grand-Larseny15.8%39.5%63.2%39.5%18.4%7.9%
eze as u like b*%chs15.8%39.5%63.2%36.8%23.7%10.5%
**Cunha Believe it?!10.5%31.6%63.2%36.8%21.1%5.3%
*Saka It To Me Baby10.5%21.1%39.5%63.2%39.5%21.1%
Bowen Arrows7.9%39.5%47.4%52.6%28.9%7.9%
Into the WOODwork*7.9%28.9%47.4%57.9%34.2%5.3%
ChabosSpurs@Law7.9%23.7%42.1%60.5%36.8%13.2%
Amorim de mi vida7.9%21.1%31.6%71.1%47.4%23.7%
Santa’s reijnders7.9%18.4%47.4%60.5%34.2%7.9%

True Table / All-Play xPts

Use this table to strip out the weekly opponent draw and rank teams by how their scores compared with the whole league each gameweek.

Definitions and calculation notes
  • xPts asks: what if every team played every other team every week?

For each gameweek, a team gets 3 all-play points for every league opponent it outscored, 1 for every tie, and 0 for every opponent that beat it. Because this is a 10-team league, each team has 9 all-play comparisons per week. I divide the season-long all-play total by 9 so xPts lands on the same scale as the real H2H table.

Example: if a team scores third-best in a week, it beat 7 teams and lost to 2, so that week contributes 21 / 9 = 2.33 xPts.

True RankTeamxPtsReal H2H PtsPFAvg Weekly Rank
1Sue-nited FC*68.77216814.63
2Grand-Larseny65.86116564.79
3**Cunha Believe it?!64.88117644.76
4eze as u like b*%chs63.36016595.05
5Bowen Arrows57.95715775.26
6Into the WOODwork*53.96515275.71
7Santa’s reijnders51.84115066.00
8ChabosSpurs@Law49.74214856.05
9*Saka It To Me Baby47.64814956.16
10Amorim de mi vida42.74014536.58

Schedule Luck

Use this table to see who gained or lost table points because of matchup timing rather than raw scoring power.

Definitions and calculation notes
  • Luck is the gap between the real H2H table and the all-play table.

Formula: Luck = Actual H2H Points - xPts.

For **Cunha Believe it?!, that is 81 - 64.8 = +16.2. The team still led the league in PF, but the schedule also broke nicely: low PA and several weeks where the opponent did not punish an ordinary score.

TeamActual H2H PtsxPtsLuckPA
**Cunha Believe it?!8164.8+16.21444
Into the WOODwork*6553.9+11.11468
Sue-nited FC*7268.7+3.31642
*Saka It To Me Baby4847.6+0.41572
Bowen Arrows5757.9-0.91536
Amorim de mi vida4042.7-2.71645
eze as u like b*%chs6063.3-3.31566
Grand-Larseny6165.8-4.81672
ChabosSpurs@Law4249.7-7.71692
Santa’s reijnders4151.8-10.81566

Lineal Belt

Use this section to follow the imaginary boxing-style belt as it moves only when the current holder loses a league matchup.

Definitions and calculation notes
  • The belt started with Levi Morant (*Saka It To Me Baby) going into GW1.
  • Each gameweek, only the current holder's matchup matters.
  • If the holder wins or draws, they keep the belt and it is up for grabs again in their next matchup.
  • If the holder loses, the opponent takes the belt immediately after that gameweek.
  • Number of Reigns counts every separate time a manager held the belt, including Levi's starting reign.
  • Longest Defense Run is the most holder wins in a single reign before losing the belt. A draw retains the belt, but it is not counted as a defense.
  • Belt Fight Record is shown as wins-losses across every lineal belt matchup a manager appeared in, whether they entered as holder or challenger.
  • Avg Score in Belt Fights is that manager's average score in matchups where the lineal belt was on the line.
  • Diff vs Non-Belt Avg is Avg Score in Belt Fights minus that manager's average score in all other league matchups. Positive means they scored better in belt fights than in non-belt weeks.
  • In the Week-By-Week Belt Path table, each row is tinted by the manager holding the belt after that gameweek.
  • Score is shown in holder-entering to challenger order. If Belt After GW matches Holder Entering, the holder defended; if it changes, the challenger won the belt.

Current holder after GW38: Ryan Donlan (**Cunha Believe it?!).

Holder Summary

TeamManagerNumber of ReignsLongest Defense RunCurrent Holder
**Cunha Believe it?!Ryan Donlan34Yes
Grand-LarsenyDrake Byrd43
eze as u like b*%chsRyan Houseman23
Sue-nited FC*Justin Miller22
ChabosSpurs@LawAlexander Chaban12
Bowen ArrowsDylan Reid11
*Saka It To Me BabyLevi Morant20
Santa’s reijndersEthan Ellsworth20
Amorim de mi vidaJulius Long10
Into the WOODwork*Luke Lockwood10

Belt Fight Records

Use this table to see each manager's W-L record in all lineal belt matchups and whether their scoring rose or fell when the belt was involved.

TeamManagerBelt Fight RecordAvg Score in Belt FightsDiff vs Non-Belt Avg
eze as u like b*%chsRyan Houseman6-351.6+10.3
Sue-nited FC*Justin Miller4-343.4-1.0
Amorim de mi vidaJulius Long1-442.2+4.6
Grand-LarsenyDrake Byrd8-542.1-2.2
**Cunha Believe it?!Ryan Donlan10-241.4-7.3
Santa’s reijndersEthan Ellsworth2-837.7-2.6
*Saka It To Me BabyLevi Morant1-436.0-3.9
Bowen ArrowsDylan Reid2-333.6-9.1
ChabosSpurs@LawAlexander Chaban3-333.3-6.8
Into the WOODwork*Luke Lockwood1-332.2-8.9

Week-By-Week Belt Path

GWHolder EnteringChallengerScoreBelt After GW
1Levi MorantLuke Lockwood36-42Luke Lockwood
2Luke LockwoodJustin Miller24-42Justin Miller
3Justin MillerEthan Ellsworth30-49Ethan Ellsworth
4Ethan EllsworthDrake Byrd39-41Drake Byrd
5Drake ByrdJustin Miller47-46Drake Byrd
6Drake ByrdRyan Donlan18-47Ryan Donlan
7Ryan DonlanRyan Houseman34-45Ryan Houseman
8Ryan HousemanAlexander Chaban79-32Ryan Houseman
9Ryan HousemanEthan Ellsworth69-45Ryan Houseman
10Ryan HousemanDrake Byrd61-51Ryan Houseman
11Ryan HousemanJulius Long31-36Julius Long
12Julius LongDrake Byrd43-59Drake Byrd
13Drake ByrdEthan Ellsworth39-41Ethan Ellsworth
14Ethan EllsworthDylan Reid28-30Dylan Reid
15Dylan ReidRyan Houseman50-42Dylan Reid
16Dylan ReidDrake Byrd37-40Drake Byrd
17Drake ByrdLevi Morant23-45Levi Morant
18Levi MorantRyan Donlan36-45Ryan Donlan
19Ryan DonlanDylan Reid34-29Ryan Donlan
20Ryan DonlanEthan Ellsworth44-37Ryan Donlan
21Ryan DonlanLuke Lockwood46-38Ryan Donlan
22Ryan DonlanJulius Long28-26Ryan Donlan
23Ryan DonlanAlexander Chaban34-36Alexander Chaban
24Alexander ChabanLuke Lockwood37-25Alexander Chaban
25Alexander ChabanEthan Ellsworth41-40Alexander Chaban
26Alexander ChabanRyan Houseman30-44Ryan Houseman
27Ryan HousemanEthan Ellsworth46-40Ryan Houseman
28Ryan HousemanDrake Byrd47-55Drake Byrd
29Drake ByrdAlexander Chaban39-24Drake Byrd
30Drake ByrdJulius Long64-52Drake Byrd
31Drake ByrdEthan Ellsworth35-29Drake Byrd
32Drake ByrdJustin Miller37-50Justin Miller
33Justin MillerJulius Long68-54Justin Miller
34Justin MillerLevi Morant38-35Justin Miller
35Justin MillerRyan Donlan30-38Ryan Donlan
36Ryan DonlanLevi Morant49-28Ryan Donlan
37Ryan DonlanDylan Reid61-22Ryan Donlan
38Ryan DonlanEthan Ellsworth37-29Ryan Donlan

Bad Beats And Soft Wins

Use this table to compare the painful and fortunate matchup-timing moments for each manager.

Definitions and calculation notes
  • These are timing metrics. They do not say a team is good or bad; they say whether a weekly score met an unusually strong or weak opponent.
  • Bad Beat: a team lost while scoring above that gameweek's league median.
  • Soft Win: a team won while scoring below that gameweek's league median.
  • Timing Balance: soft wins minus bad beats. Positive means a manager got more schedule help in these specific timing spots; negative means more painful timing.
  • In the manager details, Score is that manager's weekly score, Opp Score is the opponent's weekly score, and Margin is shown from that manager's perspective.
  • GW Median is the league median score for that gameweek, which is the cutoff used to tag bad beats and soft wins.
TeamBad BeatsSoft WinsTiming Balance
Grand-Larseny73-4
eze as u like b*%chs73-4
Santa’s reijnders52-3
Bowen Arrows56+1
ChabosSpurs@Law42-2
Sue-nited FC*32-1
**Cunha Believe it?!36+3
*Saka It To Me Baby24+2
Amorim de mi vida24+2
Into the WOODwork*15+4

Manager Timing Details

Use the manager dropdowns below to see the exact weeks behind the bad-beat and soft-win counts.

Grand-Larseny: 7 bad beats, 3 soft wins
GWTypeOpponentScoreOpp ScoreMarginGW Median
4Soft WinSanta’s reijnders4139+245.5
10Bad Beateze as u like b*%chs5161-1048.0
13Bad BeatSanta’s reijnders3941-238.5
16Soft WinBowen Arrows4037+344.0
21Bad BeatAmorim de mi vida4953-441.0
24Bad Beat**Cunha Believe it?!5153-245.5
27Bad BeatInto the WOODwork*4752-545.0
29Soft WinChabosSpurs@Law3924+1546.0
33Bad Beat**Cunha Believe it?!64103-3956.0
37Bad Beateze as u like b*%chs3849-1137.5
eze as u like b*%chs: 7 bad beats, 3 soft wins
GWTypeOpponentScoreOpp ScoreMarginGW Median
2Bad BeatAmorim de mi vida4551-641.5
4Bad BeatSue-nited FC*4756-945.5
5Soft WinInto the WOODwork*3121+1033.5
6Bad BeatBowen Arrows5156-541.0
22Bad BeatSue-nited FC*4050-1033.0
25Soft Win**Cunha Believe it?!3930+939.5
28Bad BeatGrand-Larseny4755-840.5
31Bad BeatSue-nited FC*3951-1234.0
32Bad BeatInto the WOODwork*4753-642.5
38Soft WinAmorim de mi vida2423+136.0
Santa’s reijnders: 5 bad beats, 2 soft wins
GWTypeOpponentScoreOpp ScoreMarginGW Median
8Bad BeatInto the WOODwork*3754-1735.5
9Bad Beateze as u like b*%chs4569-2442.5
15Soft Win*Saka It To Me Baby4131+1046.0
16Bad BeatChabosSpurs@Law5257-544.0
20Bad Beat**Cunha Believe it?!3744-733.0
25Bad BeatChabosSpurs@Law4041-139.5
34Soft WinChabosSpurs@Law3018+1233.5
Bowen Arrows: 5 bad beats, 6 soft wins
GWTypeOpponentScoreOpp ScoreMarginGW Median
2Soft Win*Saka It To Me Baby4135+641.5
8Soft WinAmorim de mi vida3422+1235.5
14Soft WinSanta’s reijnders3028+242.0
24Bad Beateze as u like b*%chs5459-545.5
27Soft WinSue-nited FC*4025+1545.0
28Bad Beat**Cunha Believe it?!4348-540.5
30Soft WinChabosSpurs@Law3430+438.0
33Soft Wineze as u like b*%chs4824+2456.0
35Bad BeatAmorim de mi vida5259-742.0
36Bad BeatSue-nited FC*5470-1646.0
38Bad Beat*Saka It To Me Baby3746-936.0
ChabosSpurs@Law: 4 bad beats, 2 soft wins
GWTypeOpponentScoreOpp ScoreMarginGW Median
4Bad Beat*Saka It To Me Baby5962-345.5
5Bad Beat**Cunha Believe it?!3455-2133.5
15Bad BeatInto the WOODwork*5860-246.0
21Soft WinBowen Arrows3632+441.0
24Soft WinInto the WOODwork*3725+1245.5
35Bad Beateze as u like b*%chs4750-342.0
Sue-nited FC*: 3 bad beats, 2 soft wins
GWTypeOpponentScoreOpp ScoreMarginGW Median
5Bad BeatGrand-Larseny4647-133.5
9Soft WinBowen Arrows3123+842.5
11Bad BeatInto the WOODwork*5359-640.5
24Soft WinAmorim de mi vida4341+245.5
26Bad Beat**Cunha Believe it?!4061-2136.5
**Cunha Believe it?!: 3 bad beats, 6 soft wins
GWTypeOpponentScoreOpp ScoreMarginGW Median
1Bad BeatBowen Arrows4351-842.0
10Soft WinBowen Arrows4732+1548.0
13Soft WinAmorim de mi vida3424+1038.5
14Bad BeatChabosSpurs@Law4655-942.0
16Soft Wineze as u like b*%chs4022+1844.0
19Soft WinBowen Arrows3429+543.0
22Soft WinAmorim de mi vida2826+233.0
27Bad Beat*Saka It To Me Baby4866-1845.0
35Soft WinSue-nited FC*3830+842.0
*Saka It To Me Baby: 2 bad beats, 4 soft wins
GWTypeOpponentScoreOpp ScoreMarginGW Median
6Soft WinSanta’s reijnders3626+1041.0
16Bad BeatSue-nited FC*4857-944.0
17Soft WinGrand-Larseny4523+2246.5
32Soft WinAmorim de mi vida4229+1342.5
34Bad BeatSue-nited FC*3538-333.5
37Soft WinInto the WOODwork*3732+537.5
Amorim de mi vida: 2 bad beats, 4 soft wins
GWTypeOpponentScoreOpp ScoreMarginGW Median
3Bad BeatGrand-Larseny4356-1341.0
5Soft Win*Saka It To Me Baby2220+233.5
11Soft Wineze as u like b*%chs3631+540.5
20Soft Wineze as u like b*%chs2524+133.0
27Soft WinChabosSpurs@Law4437+745.0
30Bad BeatGrand-Larseny5264-1238.0
Into the WOODwork*: 1 bad beats, 5 soft wins
GWTypeOpponentScoreOpp ScoreMarginGW Median
3Soft Win**Cunha Believe it?!4039+141.0
4Soft WinBowen Arrows4241+145.5
19Bad Beat*Saka It To Me Baby4548-343.0
26Soft WinSanta’s reijnders2623+336.5
28Soft Win*Saka It To Me Baby3823+1540.5
31Soft WinBowen Arrows2423+134.0

Weekly Scoring And Boom/Bust

Use this table to see which teams were steady, volatile, explosive, or prone to weekly floor games.

Definitions and calculation notes
  • Boom/bust is measured with the standard deviation of weekly starter scores. Higher stdev means a wider spread between explosive weeks and quiet weeks.
  • Stdev: standard deviation of weekly starter points.
  • Best and Worst: highest and lowest weekly scores.
  • Top Scores: number of weeks where the team led the league in points.
  • Bottom Scores: number of weeks where the team had the league's lowest score.
TeamAvgMedianStdevBestWorstTop ScoresBottom Scores
**Cunha Believe it?!46.444.015.21032042
Amorim de mi vida38.237.012.9751839
eze as u like b*%chs43.744.512.6792264
*Saka It To Me Baby39.336.512.2712048
Grand-Larseny43.644.012.0641663
Into the WOODwork*40.240.011.6602132
ChabosSpurs@Law39.136.011.3591835
Sue-nited FC*44.245.011.1702283
Bowen Arrows41.541.09.7572233
Santa’s reijnders39.640.09.2602333

Biggest Single-Week Scores

Use this table to find the league's biggest weekly spikes and whether they came with multiple double-digit starters or avoided lineup zeroes.

GWTeamPointsDouble-Digit StartersStarter Zeroes
33**Cunha Believe it?!10340
17**Cunha Believe it?!9040
8eze as u like b*%chs7930
19Amorim de mi vida7530
8**Cunha Believe it?!7230
26*Saka It To Me Baby7130
36Sue-nited FC*7030
9eze as u like b*%chs6930
33Sue-nited FC*6830
25*Saka It To Me Baby6620
27*Saka It To Me Baby6610
14Grand-Larseny6420
30Grand-Larseny6430
33Grand-Larseny6420
4*Saka It To Me Baby6210

Positional Scoring

Use this section to compare positional value: where managers got efficient starter production, and how each position scored across the league.

Definitions and calculation notes
  • Team-by-position scoring uses only players in the starting XI each week, so it reflects both lineup decisions and available squad quality at that position.
  • Starter Points: total points scored by starters at that position.
  • Starts: number of starting slots used at that position across the season.
  • Points/Start: starter points divided by starts, useful because formations change how many DEF/MID/FWD slots a team uses.
  • Starter Weekly Avg: average weekly score for starting lineup players at that position.
  • Rostered Weekly Avg: average weekly score for every rostered player slot at that position, including starters and bench players.
  • 4+ Week Pool Weekly Avg: average weekly score for players at that position who appeared on a league roster in at least 4 distinct gameweeks. Four weeks is roughly 10% of the 38-gameweek season, so it filters out one-week punts without requiring a player to be a long-term hold. Zeroes still count for qualified players.
  • The full team-by-position breakdown is split into one collapsible block per position, sorted from highest Points/Start to lowest inside each position.

League-Wide Position Averages

Use this table to compare each position's weekly value per player at three levels: starters, rostered squads, and the broader relevant player pool.

PositionStarter Weekly AvgRostered Weekly Avg4+ Week Pool Weekly Avg
GKP3.682.972.32
DEF3.833.202.74
MID3.883.382.97
FWD3.562.802.25

Position Points/Start Leaders

Use this table as the quick leaderboard for which manager got the best per-start output at each position.

PositionPoints/Start LeaderStarter PointsStartsPoints/Start
GKP**Cunha Believe it?!166384.37
DEFeze as u like b*%chs5841304.49
MIDGrand-Larseny7251474.93
FWD**Cunha Believe it?!392804.90

Team-By-Position Starter Scoring

Use these position dropdowns for the full manager-by-position breakdown without scrolling through one long combined table.

GKP - Goalkeepers
TeamStarter PointsStartsPoints/Start
**Cunha Believe it?!166384.37
Sue-nited FC*154384.05
eze as u like b*%chs153384.03
ChabosSpurs@Law144383.79
Santa’s reijnders137383.61
*Saka It To Me Baby136383.58
Amorim de mi vida136383.58
Bowen Arrows135383.55
Grand-Larseny122383.21
Into the WOODwork*114383.00
DEF - Defenders
TeamStarter PointsStartsPoints/Start
eze as u like b*%chs5841304.49
Sue-nited FC*6571564.21
**Cunha Believe it?!6111454.21
Grand-Larseny5721424.03
Into the WOODwork*5981543.88
Amorim de mi vida5141353.81
*Saka It To Me Baby5481503.65
Santa’s reijnders5401513.58
ChabosSpurs@Law4721443.28
Bowen Arrows3721213.07
MID - Midfielders
TeamStarter PointsStartsPoints/Start
Grand-Larseny7251474.93
Sue-nited FC*6331574.03
eze as u like b*%chs6451623.98
Santa’s reijnders5701483.85
**Cunha Believe it?!5951553.84
*Saka It To Me Baby5751513.81
ChabosSpurs@Law6501713.80
Into the WOODwork*5661523.72
Bowen Arrows5311483.59
Amorim de mi vida5371633.29
FWD - Forwards
TeamStarter PointsStartsPoints/Start
**Cunha Believe it?!392804.90
Bowen Arrows5391114.86
Sue-nited FC*237673.54
ChabosSpurs@Law219653.37
Into the WOODwork*249743.36
Amorim de mi vida266823.24
Santa’s reijnders259813.20
eze as u like b*%chs277883.15
*Saka It To Me Baby236792.99
Grand-Larseny237912.60

Waiver-Inspired Wins

Use this section to see who won or lost matchup points through replacement-adjusted waiver and free-agent decisions, not just who made the most transactions.

Definitions and calculation notes
  • This replaces the old transaction-volume metric with a stricter counterfactual question: which matchups plausibly depended on waiver or free-agent pickups after accounting for the players dropped?
  • Pickup players: players acquired through an accepted waiver or free-agent transaction. Trades and drafted players are not counted as pickups for this metric.
  • Pickup starter points: points scored by those pickup players only when they were in the manager's starting XI.
  • Replacement Delta: pickup starter points minus the points scored that same gameweek by the player dropped to make that pickup. This handles the case where the dropped player would also have scored enough to matter.
  • If a pickup is not started, it contributes 0 to this metric. The dropped player's score is only used as a counterfactual for pickup players who actually entered the manager's starting XI.
  • Waiver-Inspired Win: a H2H win where the winner's replacement delta minus the opponent's replacement delta was at least the victory margin. The winner must also have a positive replacement delta.
  • Waiver-Inspired Loss: the reverse view of the same matchup. If a manager loses a game that qualifies as a waiver-inspired win for the opponent, it also counts as a waiver-inspired loss for that manager.
  • Share of Wins: waiver-inspired wins divided by total wins.
  • Share of Losses: waiver-inspired losses divided by total losses.
  • Avg Waiver-Inspired Win Margin: the average final matchup margin in that manager's waiver-inspired wins.
  • Avg Waiver-Inspired Loss Margin: the average final matchup margin in that manager's waiver-inspired losses.

Waiver-Inspired Wins

Use this table to see who beat opponents at the waiver game often enough to swing actual H2H wins.

TeamWaiver-Inspired WinsTotal WinsShare of WinsAvg Waiver-Inspired Win Margin
Sue-nited FC*112445.8%11.9
*Saka It To Me Baby91656.2%9.6
Into the WOODwork*82138.1%9.8
**Cunha Believe it?!62722.2%10.5
Amorim de mi vida51338.5%9.0
Grand-Larseny42020.0%7.2
Santa’s reijnders31323.1%14.3
eze as u like b*%chs32015.0%8.3
Bowen Arrows21910.5%12.5
ChabosSpurs@Law1147.1%5.0

Waiver-Inspired Losses

Use this table to see who was on the wrong end of those waiver swings, meaning the opponent's replacement-adjusted pickups covered the final margin.

TeamWaiver-Inspired LossesTotal LossesShare of LossesAvg Waiver-Inspired Loss Margin
eze as u like b*%chs81844.4%8.5
Bowen Arrows81942.1%5.4
ChabosSpurs@Law72429.2%11.3
Santa’s reijnders62326.1%13.0
Amorim de mi vida62425.0%11.5
*Saka It To Me Baby52222.7%10.6
**Cunha Believe it?!41136.4%8.5
Grand-Larseny41723.5%16.0
Into the WOODwork*31520.0%13.7
Sue-nited FC*1147.1%1.0

API Endpoint Coverage

Use this table as a source audit: it shows which Draft/FPL endpoints fed the report and what each one contributed.

Access notes
  • Public means the endpoint returned usable data without a logged-in session.
  • Public/empty without auth means the endpoint responded but did not include useful private-session data.
  • Error-style access values are endpoint probes that likely require login or are not available for this entry without an authenticated session.
EndpointAccessUsed For
bootstrap-staticpublicplayers, teams, events, positions
gamepubliccurrent event and processing state
pl/event-statuspublicevent update status
bootstrap-dynamicpublic/empty without authactive session payload
league/{id}/detailspublicleague entries, standings, matches
league/{id}/element-statuspublicplayer ownership status
draft/{id}/choicespublicsource pulled for completeness
draft/league/{id}/transactionspublicleague transaction log
draft/league/{id}/tradespublictrade log
entry/{id}/publicpublicentry metadata and total points
entry/{id}/my-teamHTTP 403editable current-team endpoint probe
entry/{id}/event/{gw}publiclineups by gameweek
event/{gw}/livepublicplayer gameweek scoring
watchlist/{id}HTTP 403watchlist endpoint probe
draft/entry/{id}/transactionsHTTP 403per-entry transaction endpoint probe

Output Files

These are the supporting CSVs exposed for the report.