Player Played Won Drawn Lost PPG GS AGS SW% HT OG CS CS% Ch% WS% MCW MCL CWLS Pos Late    Rank   
Abdul Waheed 71 27 19 25 1.4 9 0.3 21% 0 1 14 22% 20% 16% 4 5 1W  D 2 19 = (-1) D L D D W
Adama Doumbia 6 3 1 2 - 1 - - 0 0 2 - - - 2 1 1L  M 1 - L D W W L
Alan Dam 89 30 26 33 1.3 5 0.2 17% 0 0 26 30% 14% 19% 3 5 2L  M 1 - W W 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 5 = W L W L L
Alessio 39 22 8 9 1.9 34 2.4 79% 2 0 18 46% 24% 0% 4 2 AM 10 4 W W W D D
Alex Gibson 52 19 10 23 1.3 20 1.1 67% 1 0 17 33% 11% 13% 4 5 2L  M 8 - L W W L L
Alexis Ulens 3 2 1 0 - 0 - - 0 0 2 - - - 2 0 2W  DM - - D W W
Alex Marina 165 64 35 66 1.4 36 0.6 43% 1 0 39 24% 16% 19% 7 4 1L  M 12 - D L D W L
Alex Newins 226 89 40 97 1.4 175 2.2 79% 20 0 40 19% 17% 21% 9 5 2W  A 9 15 = (-1) W L L W W
Alin Obreja 3 2 0 1 - 3 - - 0 0 2 - - - 2 1 2W  M - - L W W
Ali Pirbudak 244 100 57 87 1.5 63 0.7 41% 2 2 54 23% 22% 12% 6 8 1W  M 5 19 = (-1) W L D D W
Alpha Barrie 3 0 1 2 - 1 - - 0 0 0 - - - 0 1 1L  M - - L D L
Andrea Mac-Paul 6 1 2 3 - 0 - - 0 0 0 - - - 1 2 1L  M 1 - L L W D L
Andrew Twagira 143 61 37 45 1.5 58 1.2 64% 1 0 35 25% 24% 12% 6 6 1L  AM 1 8 (-1) W L W D L
Andy Rowland 383 137 74 172 1.3 2 0.0 2% 0 5 59 17% 14% 19% 4 7 2L  GK 2 - L L W L L
Antonio Mac-Paul 6 1 3 2 - 1 - - 0 0 2 - - - 1 2 1W  M 1 - D D L L W
Asa Chibiya 32 9 7 16 1.1 3 0.3 17% 0 0 5 16% 6% 25% 2 4 M 3 - D L L L D
Ayo 78 25 18 35 1.2 1 0.0 4% 0 0 18 23% 11% 21% 3 5 2L  DM 9 - L W W L L
Bill Mooney 14 3 3 8 0.9 0 0 0% 0 0 3 21% 0% 13% 1 3 M - - L L W L D
Bill Park 174 68 24 82 1.3 18 0.3 27% 0 1 33 19% 20% 22% 6 8 7L  M 4 - L L L L L
Carlton Dickson 136 64 28 44 1.6 19 0.3 29% 0 1 35 26% 24% 9% 5 3 3L  D 1 12 = L D L L L
Cathal Wharton 194 70 48 76 1.3 9 0.1 11% 0 0 54 28% 18% 19% 5 7 1L  DM 8 - W W D W L
Chris Hale 3 1 0 2 - 0 - - 0 0 1 - - - 1 2 2L  M - - W L L
Chris Kemp 216 93 36 87 1.5 22 0.3 27% 0 0 42 21% 21% 14% 4 8 1W  DM 8 10 W W L L W
Christian Williams 15 8 2 5 1.7 0 0 0% 0 0 3 20% 28% 0% 3 1 1W  M 3 - D W L D W
Chun To 13 9 2 2 2.2 0 0 0% 0 0 5 38% 53% 0% 4 1 4W  D - - D W W W W
Conor McNamara 119 45 28 46 1.4 26 0.6 43% 0 0 32 27% 13% 18% 5 6 DM 3 - W W W L D
Dami 148 62 28 58 1.4 41 0.8 45% 1 0 42 29% 30% 17% 5 5 1W  M 3 12 = (+5) L L W D W
Daniel Andreica 131 49 30 52 1.4 2 0.0 4% 0 1 37 28% 14% 21% 4 8 1W  D - - W W D D W
Daniel McNamara 29 13 10 6 1.7 3 0.4 29% 0 0 6 25% 33% 18% 3 2 1W  M - 15 = (-1) D L D D W
Daran Akintola 9 1 3 5 - 1 - - 0 0 0 - - - 1 4 1W  M 1 - L D L D W
David Lilley 207 77 54 76 1.4 0 0.0 0% 0 2 57 28% 21% 18% 5 5 1W  D 4 - W W D D W
Diego B 37 19 8 10 1.8 14 1.1 85% 0 0 14 39% 23% 10% 4 3 1W  M 10 21 = D W D D W
Eddie Chan 396 153 85 158 1.4 19 0.1 13% 0 1 54 15% 19% 18% 5 6 1W  D 1 30 = (+5) L L W D W
Eddy Mukasa 36 16 6 14 1.5 3 0.2 23% 0 0 14 39% 15% 15% 5 5 M - - W W L W D
Eugene Osei 3 0 0 3 - 0 - - 0 0 0 - - - 0 3 3L  M 1 - L L L
Feng Zheng 30 11 5 14 1.3 0 0 0% 0 0 6 20% 0% 10% 3 3 1W  D - - W D D D W
Florin Herman 206 82 43 81 1.4 6 0.1 7% 0 1 43 21% 17% 18% 5 8 1W  D - 32 = (-1) L D L D W
Fraser Rankin 6 1 2 3 - 1 - - 0 0 2 - - - 1 1 1L  M - - D W L D L
Frederick Saavedra 30 8 9 13 1.1 0 0 0% 0 0 5 18% 22% 29% 3 7 3W  M 1 - W L W W W
Fu Li 6 2 1 3 - 0 - - 0 0 1 - - - 2 3 M - - L L W W D
Gabriel Paun 239 93 46 100 1.4 3 0.0 3% 0 1 43 19% 18% 19% 4 7 3L  D 1 - W W L L L
George Laird 98 38 31 29 1.5 32 0.9 65% 0 0 33 34% 28% 21% 4 5 1W  AM 3 2 (+1) L D W D W
Great Mac-Paul 12 7 5 0 2.2 5 1.3 100% 0 0 8 67% 75% 0% 3 0 1W  M 1 15 = (-1) D W W D W
Hassan Shah 282 110 56 116 1.4 129 1.2 68% 2 1 57 21% 21% 17% 5 6 1W  AM - - L D L D W
Helder Monte 93 40 22 31 1.5 3 0.1 6% 0 1 44 48% 22% 14% 10 4 1W  DM - - W D D D W
Ibrahim 97 34 26 37 1.3 15 0.4 38% 0 0 34 36% 11% 18% 3 4 1L  M - - W W L D L
Ize Kole 297 110 61 126 1.3 24 0.2 20% 1 2 58 20% 20% 21% 6 6 M 30 - L L L W D
Jack Butler 3 1 0 2 - 0 - - 0 0 0 - - - 1 2 1W  M - - L L W
Jadyn Jones 3 1 0 2 - 0 - - 0 0 1 - - - 1 2 1W  M - - L L W
Jake Lascelles 22 6 4 12 1.0 0 0 0% 0 0 1 5% 7% 30% 3 7 1W  M - - W D L L W
Jamal Siaw 22 9 4 9 1.4 3 0.4 13% 0 0 5 24% 17% 13% 3 3 1W  M 5 21 = (-3) L W D L W
Jas Thind 3 1 1 1 - 0 - - 0 0 1 - - - 1 1 M - - W L D
Jen fung Pang 143 51 25 67 1.2 11 0.2 17% 0 0 44 31% 10% 19% 4 7 1W  M 2 - W D D D W
Jim Tk 6 1 2 3 - 4 - - 0 0 2 - - - 1 3 M - - L L W D D
Joe G'Hines 11 5 2 4 1.5 4 0.8 60% 0 0 2 20% 20% 13% 2 2 1L  M 1 27 = L D W D L
Jordan Catterall 3 1 2 0 - 1 - - 0 0 2 - - - 1 0 M - - W D D
Jude Atsu 3 1 2 0 - 0 - - 0 0 2 - - - 1 0 M 1 - D W D
Junior Osivaya 6 3 2 1 - 3 - - 0 0 3 - - - 2 1 2W  M 1 - L W D W W
Lawrence Colgan 6 0 2 4 - 1 - - 0 0 0 - - - 0 3 1L  M - - L L L D L
Lee FB 6 2 0 4 - 0 - - 0 0 1 - - - 1 2 2L  DM - - L L W L L
Lekan Olukotun 321 124 68 129 1.4 27 0.2 20% 0 2 65 21% 20% 21% 6 6 1W  DM 1 - L L W D W
Liam Kennedy 47 20 9 18 1.5 7 0.4 16% 1 0 5 11% 21% 19% 3 4 DM - 26 W W L W D
Liam Rumsey 57 25 10 22 1.5 5 0.3 26% 0 0 18 32% 11% 14% 4 3 3L  D 1 - D W L L L
Luso Adey 113 46 30 37 1.5 0 0 0% 0 0 40 36% 22% 17% 6 3 1L  D 9 - W W L D L
Mansingh 77 34 14 29 1.5 0 0.0 0% 0 1 25 32% 21% 23% 5 6 D 10 - W L W L D
Manuel Cao 304 114 83 107 1.4 269 2.3 86% 28 0 56 19% 19% 16% 5 6 1L  A - 15 = (+6) D L L D L
Mark Barber 110 40 23 47 1.3 1 0.0 2% 0 0 29 27% 17% 20% 3 3 1W  D 20 30 = (+5) D L W D W
Mark Lascelles 396 155 89 152 1.4 5 0.0 4% 0 4 86 23% 19% 19% 7 6 2L  D - 32 = (-2) W W W L L
Matt Forsyth 10 3 2 5 1.1 5 1.3 50% 0 0 1 11% 0% 33% 2 3 1L  A - - L L L W L
Max Arinaitwe 339 136 74 129 1.4 102 0.9 55% 1 0 76 24% 19% 15% 7 5 2L  AM 22 9 (-2) W D W L L
Michael Brerro 305 116 70 119 1.4 18 0.2 14% 1 1 61 21% 18% 15% 6 5 1W  DM 2 - L D L D W
Michal Krol 26 8 6 12 1.2 6 0.5 42% 0 0 5 20% 19% 11% 3 5 1W  M - 23 = (-2) L W L L W
Muhammad Saad 24 9 8 7 1.5 0 0 0% 0 0 9 38% 13% 0% 3 2 2L  M - - D L W L L
Mustapha 138 60 30 48 1.5 0 0 0% 0 0 34 25% 18% 8% 4 4 1W  D 1 11 L D L D W
Muz Ngwenya 265 114 64 87 1.5 89 0.9 54% 3 0 63 24% 22% 11% 5 4 1L  DM 2 1 D W L D L
Nabil Haman 3 2 0 1 - 1 - - 0 0 1 - - - 2 1 1L  M - - W W L
Nasir Pasha 54 17 19 18 1.3 7 0.4 25% 0 0 19 35% 18% 17% 3 4 2W  M 6 32 = (-1) D D D W W
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
Nel Hodge 17 7 3 7 1.4 2 0.3 33% 0 0 4 24% 28% 17% 4 2 2L  DM 4 - W D W L L
Niall Wharton 208 82 50 76 1.4 3 0.0 4% 0 1 68 33% 14% 14% 5 5 1L  D 8 32 = (-1) D L D W L
Oliver France-Mohan 70 29 16 25 1.5 6 0.2 22% 0 0 16 23% 18% 20% 3 4 1L  DM - - W L W W L
Ore Sokoya 211 74 49 88 1.3 59 0.8 42% 2 1 45 22% 19% 22% 6 7 1L  AM 31 - L L L D L
Rafhael Nogueira 30 17 4 9 1.8 28 2.8 100% 3 0 14 47% 23% 10% 4 4 2W  A 2 12 = W W D W W
Ravinder 33 11 7 15 1.2 1 0.1 9% 0 0 9 27% 9% 9% 3 3 1L  GK - - D W L D L
Ravi Singh 257 100 43 114 1.3 104 1.1 63% 5 0 43 18% 17% 20% 5 6 5L  A 2 - L L L L L
Raz Nganga 61 30 11 20 1.7 10 0.5 42% 0 0 16 27% 11% 9% 5 3 1L  M 12 - W L D W L
Rob Mohan 114 47 23 44 1.4 6 0.2 15% 0 2 22 21% 18% 21% 5 4 1L  D - - W L W W L
Roemello 18 8 4 6 1.6 1 0.2 17% 0 0 5 28% 33% 28% 4 2 1L  DM 3 - W W L D L
Ryan McNamara 248 93 49 106 1.3 34 0.4 33% 0 1 49 21% 16% 23% 5 4 4L  M 8 - W L L L L
Ryan Thukalil 6 4 1 1 - 0 - - 0 0 5 - - - 3 1 1L  M - - W W D W L
Said Khan 346 143 69 134 1.4 86 0.7 50% 2 0 69 22% 19% 18% 7 5 1W  A 18 - L L L D W
Sam Holloway 240 104 55 81 1.5 135 1.4 74% 10 0 62 26% 21% 15% 8 4 1W  AM - 5 = (+2) W W D D W
Sam Skinner 145 55 32 58 1.4 22 0.4 29% 0 2 48 34% 19% 25% 5 7 1W  M - - W W W D W
Sean Laird 80 34 20 26 1.5 7 0.3 21% 0 0 24 30% 26% 22% 3 3 1W  M 2 - L D W D W
Shaf 32 11 7 14 1.3 4 0.5 38% 0 0 1 4% 19% 26% 2 6 1W  A - 27 = L L D D W
Shawn Kelly 48 23 8 17 1.6 11 0.7 44% 0 0 13 27% 25% 13% 7 3 1W  M 3 - L L W D W
Shirwan Didar 314 124 64 126 1.4 5 0.0 4% 0 2 64 22% 17% 19% 5 6 2L  D 3 - W L W L L
Shpend Nova 23 11 6 6 1.7 9 1.0 78% 0 0 8 35% 15% 7% 3 2 2W  M 1 27 = D L L W W
Simon Holmes 129 62 27 40 1.7 17 0.3 27% 0 1 30 24% 26% 13% 5 6 2W  M - - D L D W W
Smari 97 48 18 31 1.7 23 0.7 44% 0 0 29 30% 20% 13% 7 3 1L  M 2 23 = (-2) L D D W L
Stevey Yeung 226 85 51 90 1.4 20 0.3 26% 0 0 41 20% 17% 17% 5 6 1L  M 7 - D W L D L
Stuart Butler 3 1 0 2 - 0 - - 0 0 0 - - - 1 2 2L  DM - - W L L
Teddy Eastwood 9 1 2 6 - 1 - - 0 0 0 - - - 1 3 2L  M 1 - D L D L L
Theo Thoudam 158 60 30 68 1.3 10 0.2 16% 0 0 47 30% 13% 25% 4 4 1L  DM 17 - D L D W L
Tim Lowther 246 90 59 97 1.3 17 0.2 17% 0 0 64 26% 20% 21% 8 7 1L  DM 1 - D L L D L
Tom Bridger 373 131 83 159 1.3 42 0.3 26% 0 0 60 17% 15% 22% 7 7 1W  M 2 - D W D D W
Tom Cecil 18 12 4 2 2.2 15 2.5 100% 0 0 6 33% 33% 0% 7 1 1W  M - 5 = W W L D W
Tom Colgan 346 139 68 139 1.4 185 1.6 74% 12 0 69 22% 19% 19% 7 7 1L  AM 2 23 = (-2) W D D W L
Vinny Philips 209 95 39 75 1.6 171 2.3 91% 13 0 56 27% 23% 12% 7 5 2L  A 10 3 (-1) D W W L 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.
  • 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.