Player Played Won Drawn Lost PPG GS AGS SW% HT OG CS CS% Ch% WS% MCW MCL CWLS Pos Late    Rank   
Abdul Waheed 65 26 16 23 1.4 7 0.3 19% 0 1 10 17% 21% 17% 4 5 1L  D 1 16 = L L L D L
Abiola Olaogun 3 3 0 0 - 0 - - 0 0 3 - - - 3 0 3W  M - - W W W
Alan Dam 77 26 22 29 1.3 5 0.2 19% 0 0 20 27% 16% 21% 2 5 2L  M 1 - W L W L L
Alec Dumont 145 56 27 62 1.3 15 0.4 29% 0 0 16 13% 21% 18% 9 9 2L  DM 4 3 = W L W L L
Alex Gibson 40 14 7 19 1.2 15 1.1 57% 1 0 14 36% 14% 17% 4 5 2L  M 7 - L W W L L
Alex Marina 144 58 31 55 1.4 30 0.6 39% 1 0 35 25% 18% 18% 7 4 1W  M 11 - W W W D W
Alex Newins 217 85 39 93 1.4 169 2.2 78% 20 0 40 20% 17% 21% 9 5 1L  A 8 12 = (-6) L W L D L
Ali Pirbudak 229 92 53 84 1.4 63 0.7 43% 2 2 47 21% 22% 13% 6 8 M 5 25 = (-6) W W L W D
Ali Shah 3 2 0 1 - 0 - - 0 0 1 - - - 2 1 1L  D - - W W L
Alpha Barrie 3 0 1 2 - 2 - - 0 0 0 - - - 0 1 1L  M - - L D L
Andrew Twagira 131 54 35 42 1.5 51 1.1 63% 1 0 30 23% 24% 13% 6 6 1W  AM 1 6 = L W W D W
Andy Rowland 362 129 70 163 1.3 2 0.0 2% 0 5 52 16% 14% 19% 4 7 1L  GK 2 - W W L D L
Asa Chibiya 23 7 4 12 1.1 3 0.3 22% 0 0 5 22% 7% 22% 2 4 1L  M 1 - L L L W L
Ayo 72 23 18 31 1.2 1 0.0 4% 0 0 18 25% 12% 19% 3 5 DM 8 - L W W W D
Bill Park 171 68 24 79 1.3 17 0.3 25% 0 1 33 20% 20% 20% 6 8 4L  M 4 - W L L L L
Brad Vogt 9 3 1 5 - 1 - - 0 0 1 - - - 2 4 4L  AM - - W L L L L
Brooklyn 6 2 4 0 - 1 - - 0 0 2 - - - 2 0 M - - W W D D D
Carlton Dickson 124 60 26 38 1.7 19 0.4 31% 0 1 32 26% 24% 8% 5 3 3W  D 1 12 = (-3) W D W W W
Cathal Wharton 170 60 42 68 1.3 9 0.1 13% 0 0 43 26% 17% 20% 5 7 1W  DM 7 - W L W D W
Cavan Wynne 3 1 0 2 - 0 - - 0 0 0 - - - 1 2 2L  M - - W L L
Chris Kemp 207 88 35 84 1.4 22 0.3 29% 0 0 40 21% 20% 15% 4 8 1W  DM 8 12 = (-6) W W L L W
Connor McQuillen 149 60 29 60 1.4 39 0.9 49% 3 0 17 14% 18% 13% 3 4 1L  AM 5 - W W L W L
Conor McNamara 104 38 25 41 1.3 22 0.6 41% 0 0 30 29% 12% 21% 5 6 1L  DM 3 - L W W D L
Currage 30 15 4 11 1.6 20 2.0 90% 1 0 9 30% 20% 7% 6 2 1W  AM 8 20 = (-3) L W L L W
Dami 124 54 24 46 1.5 35 0.8 44% 1 0 38 31% 29% 16% 5 4 1W  M 1 10 = (-1) L L W D W
Daniel Andreica 116 43 25 48 1.3 2 0.0 5% 0 1 31 27% 16% 21% 4 8 8L  D - - L L L L L
Daniel Mensah 79 28 20 31 1.3 12 0.4 37% 0 0 21 27% 17% 11% 2 4 1W  M 4 25 = (-6) W W L D W
Danny Reyes 9 3 1 5 - 1 - - 0 0 3 - - - 2 2 1L  M 1 - L W W D L
David Lilley 189 69 49 71 1.4 0 0.0 0% 0 2 50 27% 20% 19% 5 5 1W  D 2 - W W L L W
Diego B 22 11 3 8 1.6 7 0.9 75% 0 0 5 24% 25% 17% 3 3 M 7 30 = (-1) L L W W D
Diogo Belo 3 0 3 0 - 0 - - 0 0 1 - - - 0 0 M - - D D D
Eddie Chan 378 149 78 151 1.4 18 0.1 13% 0 1 50 15% 19% 18% 5 6 1L  D 1 29 (-6) L W L D L
Eddy Mukasa 24 9 4 11 1.3 3 0.3 33% 0 0 10 42% 11% 22% 3 5 1W  M - - W W D D W
Emmanuel Oyelowo 15 9 2 4 1.9 1 0.2 20% 0 0 6 40% 33% 13% 5 2 1W  M 2 20 = (-3) L D W D W
Ernesto 105 43 31 31 1.5 10 0.3 25% 0 1 33 31% 23% 19% 6 5 1W  M 1 - D D L D W
Feng Zheng 6 2 1 3 - 0 - - 0 0 0 - - - 1 3 D - - L L L W D
Florin Herman 185 71 40 74 1.4 6 0.1 7% 0 1 40 22% 16% 18% 5 8 1L  D - - W L W D L
Fu Li 3 0 0 3 - 0 - - 0 0 0 - - - 0 3 3L  M - - L L L
Gabriel Paun 224 85 43 96 1.3 3 0.0 3% 0 1 38 18% 17% 18% 4 7 1W  D 1 - L W W D W
George Laird 83 31 25 27 1.4 23 0.8 59% 0 0 28 34% 23% 24% 4 5 AM 3 3 = D W W W D
Great Mac-Paul 9 5 4 0 - 4 - - 0 0 6 - - - 3 0 1W  M - - D W D D W
Habeeb Ikotun 6 1 0 5 - 3 - - 0 0 1 - - - 1 5 5L  M - - L L L L L
Hassan Shah 261 101 51 109 1.4 121 1.2 68% 2 1 52 20% 21% 18% 5 6 AM - - L W L W D
Helder Monte 72 34 16 22 1.6 3 0.1 8% 0 0 35 49% 24% 9% 10 3 1W  DM - 33 = (-1) W L W D W
Ibrahim 79 26 20 33 1.2 12 0.4 39% 0 0 26 34% 6% 18% 3 4 1W  M - - L W L L W
Ize Kole 285 105 59 121 1.3 23 0.2 19% 1 2 56 20% 19% 21% 6 6 1W  M 30 - W L L L W
Jacob Parsons 31 14 6 11 1.5 1 0.1 9% 0 0 12 39% 6% 0% 3 2 2L  GK 2 - W L W L L
Jamal Siaw 22 9 4 9 1.4 3 0.4 13% 0 0 5 24% 17% 13% 3 3 1W  M 5 19 (+7) L W D L W
James Henderson 3 1 0 2 - 0 - - 0 0 1 - - - 1 2 1W  M - - L L W
Jen fung Pang 119 41 18 60 1.2 8 0.2 16% 0 0 34 29% 9% 20% 4 7 7L  M 2 - L L L L L
Jordan 9 3 3 3 - 3 - - 0 1 1 - - - 1 1 1W  M - - W L D L W
Keyur Patel 3 2 0 1 - 0 - - 0 0 1 - - - 2 1 1L  M - - W W L
Lee FB 3 1 0 2 - 0 - - 0 0 1 - - - 1 2 2L  M - - W L L
Lekan Olukotun 297 119 63 115 1.4 26 0.2 21% 0 2 61 21% 21% 19% 6 6 1W  DM 1 30 = (-6) W W L L W
Liam Kennedy 47 20 9 18 1.5 7 0.4 16% 1 0 5 11% 21% 19% 3 4 DM - 25 = W W L W D
Liam Rumsey 48 23 9 16 1.6 4 0.3 25% 0 0 16 33% 13% 10% 4 3 1L  AM 1 30 = (-4) W L W W L
Luso Adey 92 39 25 28 1.5 0 0 0% 0 0 32 35% 20% 14% 6 3 D 7 - D W W W D
Mansingh 62 28 11 23 1.5 0 0.0 0% 0 1 21 34% 25% 29% 5 6 5W  D 9 - W W W W W
Manuel Cao 292 112 80 100 1.4 263 2.4 86% 27 0 55 20% 19% 14% 5 6 1W  A - 6 = (+7) D W W D W
Mark Barber 92 34 20 38 1.3 1 0.0 3% 0 0 26 29% 17% 17% 3 3 1W  D 16 20 = (-4) W W L L W
Mark Lascelles 375 148 85 142 1.4 5 0.0 4% 0 3 80 23% 20% 20% 7 6 D - 25 = (-6) L L L W D
Martin Ton 3 1 1 1 - 1 - - 0 0 0 - - - 1 1 1W  M - - D L W
Matt Forsyth 7 2 2 3 - 5 - - 0 0 0 - - - 2 2 2L  A - - W L D L L
Max Arinaitwe 321 130 71 120 1.4 93 0.9 52% 1 0 72 24% 19% 15% 7 5 1L  AM 21 2 W D W W L
Michael Brerro 293 111 68 114 1.4 16 0.2 14% 1 1 58 21% 18% 16% 6 5 DM 2 - D W L W D
Michal Krol 26 8 6 12 1.2 6 0.5 42% 0 0 5 20% 19% 11% 3 5 1W  M - 20 = L W L L W
Motty 100 44 16 40 1.5 0 0.0 0% 0 1 17 18% 25% 18% 4 5 1L  D - - W L W W L
Mustapha 132 58 28 46 1.5 0 0 0% 0 0 32 24% 18% 8% 4 4 D 1 10 = (-1) W W W W D
Muz Ngwenya 244 108 56 80 1.6 79 0.8 53% 2 0 55 23% 24% 11% 5 4 1L  DM 2 1 L W L D L
Neef 93 29 20 44 1.2 5 0.1 14% 0 1 23 25% 13% 26% 3 6 2L  D 4 - W L W L L
Niall Wharton 193 76 45 72 1.4 2 0.0 3% 0 1 61 32% 15% 15% 5 5 2L  D 8 33 = (-4) L W W L L
Oliver France-Mohan 64 25 16 23 1.4 5 0.2 20% 0 0 15 24% 19% 22% 3 4 1L  DM - - W W L W L
Ore Sokoya 190 70 46 74 1.3 55 0.8 42% 2 1 44 24% 21% 20% 6 7 2L  AM 29 - W L W L L
Rafhael Nogueira 27 15 3 9 1.8 27 3.0 100% 3 0 11 41% 15% 11% 4 4 2W  A 2 16 = (-3) L W D W W
Ravinder 21 8 4 9 1.3 1 0.1 14% 0 0 6 29% 14% 0% 3 3 1L  GK - - L W L W L
Rob Mohan 102 40 21 41 1.4 5 0.1 14% 0 2 20 22% 17% 23% 5 4 1L  D - - L W L W L
Ryan McNamara 236 89 48 99 1.3 33 0.4 34% 0 0 47 21% 16% 23% 5 4 4L  M 8 - W L L L L
Ryan Thukalil 3 3 0 0 - 0 - - 0 0 3 - - - 3 0 3W  M - - W W W
Said Khan 328 138 68 122 1.5 82 0.8 50% 2 0 66 22% 19% 17% 7 5 1W  A 17 - W L L L W
Sam Holloway 216 93 47 76 1.5 124 1.4 73% 10 0 50 24% 21% 16% 8 4 AM - 15 (-3) L W L W D
Sam Skinner 121 44 25 52 1.3 20 0.5 32% 0 1 38 32% 15% 27% 5 7 1W  M - - W W W L W
Scott Rockingham 15 6 4 5 1.5 4 0.8 60% 0 0 6 40% 20% 0% 2 2 1W  D 1 - D W L L W
Sean Laird 62 25 14 23 1.4 3 0.1 14% 0 0 18 30% 20% 28% 3 3 1W  M 2 - W W W L W
Shawn Kelly 36 19 5 12 1.7 10 0.8 50% 0 0 10 28% 25% 8% 7 3 1W  GK - 33 = (-7) W L L L W
Shirwan Didar 308 121 64 123 1.4 5 0.0 4% 0 2 63 23% 18% 19% 5 6 1W  D 3 33 = (-1) L L W D W
Simon Holmes 123 60 25 38 1.7 17 0.3 28% 0 1 27 23% 25% 14% 5 6 2W  M - - W W L W W
Smari 79 42 15 22 1.8 18 0.6 43% 0 0 26 33% 20% 8% 7 3 1L  M 2 16 = (-3) L W L W L
Stephen Okolobi 9 6 0 3 - 3 - - 0 0 2 - - - 2 2 2W  M 3 - W L L W W
Stevey Yeung 214 81 47 86 1.4 20 0.3 28% 0 0 38 20% 17% 16% 5 6 1L  M 6 - W L L D L
Theo Thoudam 149 56 27 66 1.3 10 0.2 16% 0 0 43 29% 12% 26% 4 4 DM 17 - D L W W D
Tim Lowther 225 84 54 87 1.4 16 0.2 17% 0 0 59 26% 20% 21% 8 7 2L  DM 1 - W W D L L
Tom Bridger 358 126 77 155 1.3 38 0.3 24% 0 0 53 16% 14% 22% 7 7 1L  M 2 - L W L D L
Tom Cecil 12 9 3 0 2.5 10 2.5 100% 0 0 5 42% 50% 0% 7 0 M - 5 W W W W D
Tom Colgan 325 131 63 131 1.4 178 1.6 75% 12 0 60 21% 19% 19% 7 7 AM 2 20 = (-1) L L W W D
Tristan Brink 21 5 4 12 0.9 2 0.3 14% 0 0 4 19% 10% 57% 3 6 2L  M 1 - L W D L L
Vinny Philips 185 82 33 70 1.5 150 2.2 90% 11 0 47 26% 21% 12% 7 5 2L  A 10 6 = (-2) L W W L L
Zak Emmings 3 1 0 2 - 0 - - 0 0 1 - - - 1 2 1W  M - - L L W
  • 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.
  • SW: Percentage of weeks the player scored at least 1 goal. Shown where at least 10 matches have been played.
  • HT: Total personal hat-tricks scored
  • OG: Total personal own goals scored
  • CS: Total number of Clean Sheets.
  • CS%: Percentage of the players' matches that end in a Clean Sheet. Eleven a'side matches are excluded. Shown where at least 10 matches have been played.
  • Ch%: Percentage of weeks the player's team won the Championship. 2 and 4 team weeks are adjusted to be the equivalent of a 6 team week, so on average it should be around 16%.
  • WS%: Percentage of weeks the player's team claimed the Wooden Spoon. 2 and 4 team weeks are adjusted to be the equivalent of a 6 team week, so on average it should be around 16%.
  • 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.
  • 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.