Player Played Won Drawn Lost PPG GS AGS HT OG CS CS% Ch% WS% MCW MCL CWLS Pos Late    Rank   
Alex Gibson 6 5 0 1 - 1 - 0 0 3 - - - 4 1 1W  M 2 - W W W L W
Alex Marina 102 40 25 37 1.4 18 0.5 1 0 25 25% 24% 25% 7 3 M 7 - L D W W D
Alex Newins 183 75 30 78 1.4 157 2.4 20 0 31 17% 27% 30% 9 5 1W  A 7 5 = L L L L W
Ali Pirbudak 167 69 35 63 1.4 46 0.7 2 2 31 19% 37% 19% 6 8 1L  M 5 15 = (-3) W W L W L
Andrew Twagira 97 41 24 32 1.5 39 1.1 0 0 18 19% 38% 21% 6 6 1L  AM 1 5 = W W D D L
Andy Rowland 305 107 56 142 1.2 1 0.0 0 5 36 12% 20% 31% 4 7 1W  M 2 - W W L L W
Aniefiok Ekpoudom 65 18 17 30 1.1 3 0.1 0 0 15 23% 26% 46% 2 6 D 2 - W L W W D
Ayuko Suehiro 3 0 2 1 - 0 - 0 0 2 - - - 0 1 1L  - - - D D L
Carlton Dickson 99 47 21 31 1.6 16 0.4 0 1 23 23% 33% 13% 5 3 1W  D 1 14 (-2) W W L D W
Cathal Wharton 111 36 27 48 1.2 4 0.1 0 0 22 20% 23% 35% 5 4 3L  DM 4 - W W L L L
Chris Kemp 176 74 31 71 1.4 20 0.4 0 0 27 15% 29% 23% 4 8 2W  DM 6 5 = W W L W W
Conor McNamara 53 19 15 19 1.4 10 0.5 0 0 14 26% 30% 30% 5 4 DM 3 24 = (+3) D L W W D
Currage 6 1 2 3 - 1 - 0 0 2 - - - 1 1 1L  - 2 - D W L D L
Damilola Owa 59 23 14 22 1.4 16 0.7 1 0 14 24% 41% 27% 4 4 1W  M 1 19 = D W W L W
Daniel Andreica 64 28 16 20 1.6 1 0.0 0 1 20 31% 29% 13% 4 3 D - 34 = (-2) D L D L D
Daniel McNamara 26 12 8 6 1.7 1 0.2 0 0 5 19% 43% 25% 3 2 1L  M - 11 (-2) L D D D L
Daniel Mensah 55 19 14 22 1.3 8 0.4 0 0 13 24% 35% 20% 2 4 1L  M 2 15 = (+1) W W D D L
David Lilley 140 52 37 51 1.4 0 0.0 0 2 33 24% 28% 31% 5 5 D 2 - W D W W D
Eddie Chan 329 132 66 131 1.4 18 0.2 0 1 44 13% 28% 26% 5 6 1W  D 1 15 = (+2) W W W L W
Elder Monte 17 9 5 3 1.9 0 0 0 0 9 53% 50% 0% 3 2 M - 34 = L D W W D
Elias Begi 8 1 2 5 - 0 - 0 0 2 - - - 1 2 1L  M 2 - L L D D L
Ernesto Zelarayan 87 39 22 26 1.6 9 0.3 0 1 28 32% 35% 29% 6 5 DM 1 24 = (+3) L D W W D
Florin Herman 121 48 24 49 1.4 5 0.1 0 1 19 16% 22% 27% 5 8 1W  D - 24 = (+1) L D L L W
Frederik Lloyd 199 86 46 67 1.5 62 0.8 0 0 39 20% 29% 19% 6 4 1W  M 16 8 W W D L W
Gabriel Paun 175 65 35 75 1.3 2 0.0 0 0 27 15% 25% 28% 4 4 2W  D 1 29 = (+1) D L L W W
Gbolahan 8 4 2 2 - 0 - 0 0 5 - - - 2 1 1L  M 1 - D W L W L
George Laird 19 5 6 8 1.1 4 0.6 0 0 7 37% 0% 43% 2 3 AM 3 12 = L D W W D
Hassan Shah 199 79 42 78 1.4 100 1.3 2 1 39 20% 30% 25% 5 5 1L  AM - - D W L W L
Ibrahim 23 9 5 9 1.4 1 0.1 0 0 10 43% 0% 25% 2 2 1W  M - - D W L L W
Ize Kole 242 87 51 104 1.3 19 0.2 0 1 44 18% 29% 33% 6 6 1W  M 27 - W W L L W
Jacob Parsons 19 8 6 5 1.6 0 0 0 0 9 47% 14% 0% 2 2 GK 2 22 = (+2) L D W W D
Jake Lascelles 16 4 3 9 0.9 0 0 0 0 0 0% 14% 57% 3 7 2L  GK - - W D D L L
Jen fung Pang 73 26 12 35 1.2 5 0.2 0 0 21 29% 21% 29% 4 5 M 2 - L W D L D
John Boy 10 4 2 4 1.4 2 1.0 0 0 3 30% 10% 20% 3 1 1L  M - - W L D D L
Jonathan Ndumbe 8 2 2 4 - 1 - 0 0 2 - - - 1 2 M 1 - L D W L D
Lekan Olukotun 232 90 53 89 1.4 19 0.2 0 2 47 20% 30% 30% 6 6 1W  DM 1 27 = (+3) D W W L W
Liam Rumsey 9 4 0 5 - 1 - 0 0 2 - - - 2 2 1W  AM - - W W L L W
Luso Adey 38 14 9 15 1.3 0 0 0 0 9 24% 37% 37% 4 3 1L  D 7 - L D L W L
Mansingh Gujadhur 11 4 2 5 1.3 0 0 0 0 3 27% 50% 50% 2 4 1L  D 4 - L L L D L
Manuel Cao 239 91 64 84 1.4 220 2.4 24 0 40 17% 31% 24% 5 6 1W  A - 9 = D L W L W
Mark Barber 42 16 12 14 1.4 0 0 0 0 16 38% 26% 24% 3 3 D 9 19 = D W W W D
Mark Lascelles 312 127 73 112 1.5 5 0.1 0 2 61 20% 33% 29% 7 6 4L  D - 3 D L L L L
Max Arinaitwe 266 106 65 95 1.4 78 0.9 1 0 55 21% 28% 25% 6 5 1L  AM 19 2 W L L W L
Max Reeve 6 3 1 2 - 1 - 0 0 3 - - - 1 1 1W  M - - W L W L W
Michael Brerro 251 92 54 105 1.3 13 0.1 1 1 41 16% 26% 26% 4 5 1W  DM 2 - L D W L W
Motty 79 35 14 30 1.5 0 0.0 0 1 10 13% 40% 28% 4 3 2L  D - - W W W L L
Mustapha 99 37 23 39 1.4 0 0 0 0 18 18% 23% 15% 3 4 D 1 21 (-2) D L W L D
Muz Ngwenya 185 82 46 57 1.6 62 0.8 2 0 38 21% 39% 16% 5 4 1W  DM 2 1 W L L L W
Nasir Pasha 42 11 14 17 1.1 3 0.2 0 0 11 26% 13% 31% 2 4 M 5 29 = (+3) D L W W D
Nathan Latouche 13 3 3 7 0.9 0 0.0 0 1 3 23% 0% 43% 1 2 1L  M - - W L D D L
Niall Wharton 138 55 33 50 1.4 1 0.0 0 1 41 30% 25% 27% 5 5 1L  D 6 27 = (-2) W L L W L
Ore Sokoya 132 47 35 50 1.3 24 0.5 0 0 25 19% 33% 30% 6 7 AM 23 - W W W W D
Ravi Singh 236 96 38 102 1.4 98 1.1 5 0 41 17% 27% 29% 5 6 3L  A 2 - L D L L L
Raz Nganga 46 22 9 15 1.6 8 0.6 0 0 10 22% 20% 18% 5 3 1W  M 7 34 = (-2) W L L L W
Roemello Semper 3 1 1 1 - 0 - 0 0 1 - - - 1 1 D - - W L D
Ryan Beatty 3 2 0 1 - 0 - 0 0 1 - - - 2 1 2W  - - - L W W
Ryan McNamara 200 76 38 86 1.3 28 0.4 0 0 35 18% 26% 33% 5 4 M 8 - D L W W D
Said Khan 263 115 57 91 1.5 69 0.8 2 0 50 19% 32% 25% 7 5 A 10 12 = W W W W D
Sam Holloway 169 65 40 64 1.4 102 1.5 9 0 31 18% 26% 25% 5 4 1W  AM - 29 = (+3) L D W L W
Sam Skinner 60 20 13 27 1.2 7 0.3 0 0 22 37% 24% 39% 2 3 3L  M - - D W L L L
Sean Laird 22 6 3 13 1.0 0 0 0 0 5 23% 11% 56% 1 3 1L  M 2 - W L L W L
Seok Cho 102 33 29 40 1.3 1 0.0 0 0 17 17% 27% 28% 4 4 1L  D - - W D D D L
Shawn Kelly 3 0 2 1 - 0 - 0 0 1 - - - 0 1 - - - D L D
Shirwan Didar 244 90 55 99 1.3 5 0.1 0 2 41 17% 26% 29% 5 6 1W  D 3 - L D D D W
Simon Holmes 102 52 21 29 1.7 14 0.3 0 1 22 22% 36% 18% 5 3 M - 29 = (+3) W L W W D
Smari Gunnarsson 33 20 6 7 2.0 6 0.5 0 0 12 36% 33% 0% 7 2 M 1 15 = (+2) W D W W D
Stevey Yeung 180 72 41 67 1.4 18 0.4 0 0 33 18% 29% 22% 5 6 1L  M 6 22 = (-3) L D L W L
Theo Thoudam 91 34 17 40 1.3 6 0.2 0 0 28 31% 20% 36% 3 4 4L  M 15 - W L L L L
Tim Lowther 157 54 40 63 1.3 15 0.3 0 0 35 22% 22% 32% 4 7 1L  DM 1 - W L L W L
Tom Bridger 290 112 63 115 1.4 31 0.3 0 0 43 15% 24% 27% 7 7 4L  M 2 29 = (-2) W L L L L
Tom Colgan 272 113 52 107 1.4 150 1.6 10 0 47 17% 31% 27% 7 7 3L  AM 2 4 D W L L L
Vinny Philips 124 55 25 44 1.5 103 2.2 7 0 28 23% 32% 15% 7 4 A 7 9 = L D W W D
Zach Gujadhur 3 0 1 2 - 0 - 0 0 1 - - - 0 1 1L  - 1 - L D L
  • Players: Active players are those who have played at least once in the prior 10 weeks.
  • Player: Click on one or more players to highlight and compare them. Click the column headers to sort.
  • PPG: Average points per game. 3 for a win, 1 for a draw. Shown where at least 10 matches have been played.
  • GS: Total goals scored by the player
  • AGS: Average goals scored by the player per week, since we started recording scorers. Shown where at least 10 matches have been played.
  • HT: Total personal hat-tricks scored
  • OG: Total personal own goals scored
  • CS: Clean Sheets (AME)
  • Ch%: Percentage of weeks the player's team won the Championship (AME)
  • WS%: Percentage of weeks the player's team claimed the Wooden Spoon (AME)
  • CS%: Clean Sheets Percent (AME) Shown where at least 10 matches have been played.
  • MCW: Maximum consecutive wins.
  • MCL: Maximum consecutive losses.
  • CWLS: Current Win Loss Streak.
  • Pos: Position, which is used by the algorithm to create evenly balanced teams (see below). Players are manually assigned a position based on their observed playing styles
    • GK: Goal Keeper
    • D: Defender
    • DM: Defensive Midfielder: Usually plays in midfield but will fill in defensively if the team is short of recognised defenders.
    • M: Midfielder
    • AM: Attacking Midfielder: Plays in midfield and has an average goals scored per game greater than 0.5
    • A: Attacker
  • Rank: Each player has a rating that is used to select fair teams. This is adjusted following each match, so that over time, the rating should become more accurate and the teams more equal. The rankings of the top 30 players are shown. Only players who have played at least 10 matches, and at least once in the past 10 weeks are ranked. The other stats, are more down to who's been selected in your team, and should even out over time but the ranking will reflect how well you're playing compared to the other players, and so hopefully adds some longer term interest.
  • History: The results of a players most recent 5 matches are shown. Hover over each to see the date and the score.
  • AME: Adjusted Match Equivalent. All statistics are adjusted to be equivalent to one match in a two match week. This for example equates to a half in a one match week.
  • Team Selection Algorithm: AKA 'The Algo' - tries to choose fair teams based on who is present on the morning:
    • The sum of the ratings of each teams' players will match as closely as possible. Even when teams have different numbers of players, e.g. 9v8, the totals will match - the team of 8 will have, on average, slightly stronger players than the team of 9.
    • As well as the total for the team, it will also even out as far as possible the combined ratings of the following:
      • Goal Keepers
      • Defenders
      • Defenders + Defensive Midfielders
      • Attackers + Attacking Midfielders
      • Attackers
    • Players making their debut are spread as evenly as possible across all teams as their ratings are not well known.
    • Groups of two or more friends can be set up. On days when we have more than 2 teams The Algo will try and ensure that anyone in a group is playing in a team with at least one other player from their group. Feel free to ask me if you're in a group, or to set one up for you.
    • Players who are late will be divided across teams (so a team doesn't end up waiting for 2 players for example). As an incentive to arrive on time, The Algo will try not to put late players on a team which has a dedicated goal keeper and it may ignore their friend groupings.