PER90

Championship · England

SouthamptonvMillwall

St. Mary's Stadiumlineups not announced

Referee

Not appointed

0 matches on record

Fouls per game

League average

22.6

fouls per match, both teams

Value

No edges published on this fixture. An edge is published only when a bookmaker's price beats the model's fair price by that market's full bar — most fixtures never produce one. The value board explains every gate a candidate has to clear.

What these numbers are

Not tips and not prices. Each row is the model's expected count for one player in this match — how many fouls, tackles or shots it thinks he records — plus the full spread of outcomes around it. Nothing here has been compared to a bookmaker.

  1. Step 1

    His own record

    Every completed match in the dataset, as a rate per 90 minutes. The n column is how many matches that rests on.

  2. Step 2

    Pulled toward his position

    A thin record gets pulled hard toward other players in his position, in his league — a goalkeeper toward goalkeepers, not toward the outfielders around him. How hard is fitted per market, not chosen: tackles pull about four times harder than shots on target.

  3. Step 3

    This fixture's conditions

    How much of the stat the opponent concedes, what the referee's matches look like, and home or away. This is where a projection stops being a season average.

  4. Step 4

    Scaled to expected minutes

    A rate becomes a count only once you say how long he plays. 60 minutes carries two-thirds the exposure of 90, and the distribution is built at that exposure.

How to read each column
Model /90
The model's rate for this match with the minutes taken back out — steps 1 to 3 already applied. It moves with the opponent and the referee, so it is not his raw career rate; the builder shows career and model rates side by side.
Exp. mins
Minutes the model expects. Confirmed means the lineup is out; provisional means it is guessing from his start rate, and is the widest of the three.
Projected
The expected count in this match, at those minutes. This is the number a line is set against.
Over 1.5, etc.
Read straight off the distribution beside it, not off how often he has beaten that line before. It answers what the model thinks, not what has happened.
n
Matches behind his own rate. Under 30 it turns amber: the projection is mostly his position group speaking, and §6.3 will not publish an edge on it.
Distribution
The whole spread, not just the average. The dashed amber cut is the line; jade bars beat it. An expected 1.8 fouls made of 2 every week and an expected 1.8 made of a 0 and a 5 are different bets, and this is where you see which one you have.

Counts are modelled as negative binomial rather than Poisson, because fouls and tackles are overdispersed and a Poisson would systematically underprice the tails — which is exactly where over bets live. Every market on this page cleared its calibration gate before it was allowed to produce a projection: when the model says 60%, it lands within a point or so of 60% out of sample.

Fouls v20260813-1451 · Tackles v20260813-1451 · Shots v20260813-1451 · Shots on target v20260813-1536-sot · Fouls won v20260813-1451 · Cards v20260813-1451 · Saves v20260813-1451

Model projections

Fouls54 playersHighest: Josh Coburn, 1.44 expectedshow

What drives it Who referees the match. A strict official lifts every player on the pitch, which is the part most books price off a season average. See what has actually happened.

  • Josh Coburn

    FWD · Millwall

    provisional
    Mins
    66
    Proj.
    1.44
    O 1.5
    41%
    Model /90
    1.97
    028%
    130%
    222%
    312%
    45%
    52%
    6+1%
  • Flynn Downes

    MID · Southampton

    provisional
    Mins
    76
    Proj.
    1.42
    O 1.5
    41%
    Model /90
    1.70
    027%
    132%
    223%
    312%
    45%
    52%
    6+1%
  • Femi Azeez

    MID · Millwall

    provisional
    Mins
    69
    Proj.
    1.26
    O 1.5
    36%
    Model /90
    1.65
    033%
    132%
    220%
    310%
    44%
    51%
    6+0%
  • Ryan Leonard

    DEF · Millwall

    provisional
    Mins
    73
    Proj.
    1.21
    O 1.5
    34%
    Model /90
    1.48
    035%
    131%
    220%
    39%
    43%
    51%
    6+0%
  • Caspar Jander

    MID · Southampton

    provisional
    Mins
    78
    Proj.
    1.17
    O 1.5
    33%
    Model /90
    1.36
    034%
    134%
    220%
    39%
    43%
    51%
    6+0%
  • Tristan Crama

    DEF · Millwall

    provisional
    Mins
    87
    Proj.
    1.15
    O 1.5
    32%
    Model /90
    1.19
    033%
    136%
    220%
    38%
    42%
    51%
    6+0%
  • Jake Cooper

    DEF · Millwall

    provisional
    Mins
    89
    Proj.
    1.08
    O 1.5
    29%
    Model /90
    1.09
    034%
    136%
    220%
    37%
    42%
    50%
    6+0%
  • Cyle Larin

    FWD · Southampton

    provisional
    Mins
    53
    Proj.
    1.03
    O 1.5
    28%
    Model /90
    1.76
    040%
    132%
    217%
    37%
    43%
    51%
    6+0%
  • Joe Bryan

    DEF · Millwall

    provisional
    Mins
    69
    Proj.
    1.02
    O 1.5
    28%
    Model /90
    1.32
    041%
    131%
    217%
    37%
    42%
    51%
    6+0%
  • Luke Cundle

    MID · Millwall

    provisional
    Mins
    45
    Proj.
    1.01
    O 1.5
    27%
    Model /90
    2.02
    045%
    128%
    215%
    37%
    43%
    51%
    6+0%
  • provisional
    Mins
    60
    Proj.
    1.00
    O 1.5
    28%
    Model /90
    1.52
    042%
    131%
    217%
    37%
    42%
    51%
    6+0%
  • Alfie Doughty

    MID · Millwall

    provisional
    Mins
    53
    Proj.
    0.93
    O 1.5
    25%
    Model /90
    1.57
    047%
    128%
    215%
    37%
    42%
    51%
    6+0%
  • Casper De Norre

    MID · Millwall

    provisional
    Mins
    78
    Proj.
    0.91
    O 1.5
    23%
    Model /90
    1.06
    041%
    136%
    216%
    35%
    41%
    5+0%
  • Japhet Tanganga

    DEF · Millwall

    provisional
    Mins
    89
    Proj.
    0.89
    O 1.5
    22%
    Model /90
    0.90
    041%
    136%
    216%
    35%
    41%
    5+0%
  • Mihailo Ivanović

    FWD · Millwall

    provisional
    Mins
    63
    Proj.
    0.88
    O 1.5
    23%
    Model /90
    1.27
    046%
    131%
    215%
    36%
    42%
    50%
    6+0%
  • Zak Norton Sturge

    DEF · Millwall

    provisional
    Mins
    63
    Proj.
    0.87
    O 1.5
    23%
    Model /90
    1.26
    046%
    131%
    215%
    36%
    42%
    5+0%
  • Adam Armstrong

    FWD · Southampton

    provisional
    Mins
    67
    Proj.
    0.82
    O 1.5
    20%
    Model /90
    1.09
    046%
    133%
    214%
    35%
    41%
    5+0%
  • Billy Mitchell

    MID · Millwall

    provisional
    Mins
    62
    Proj.
    0.80
    O 1.5
    20%
    Model /90
    1.15
    049%
    131%
    214%
    35%
    41%
    5+0%
  • Kuryu Matsuki

    MID · Southampton

    provisional
    Mins
    51
    Proj.
    0.79
    O 1.5
    20%
    Model /90
    1.40
    050%
    130%
    213%
    35%
    41%
    5+0%
  • Raees Bangura-Williams

    FWD · Millwall

    provisional
    Mins
    44
    Proj.
    0.78
    O 1.5
    20%
    Model /90
    1.59
    052%
    128%
    213%
    35%
    42%
    50%
    6+0%

20 of 54 players shown, ranked by projection.

Tackles54 playersHighest: Caspar Jander, 2.60 expectedshow

What drives it Possession share. A tackle count depends far more on how much of the match is played at your own end than on a player’s own form. See what has actually happened.

  • Caspar Jander

    MID · Southampton

    provisional
    Mins
    78
    Proj.
    2.60
    O 1.5
    67%
    Model /90
    3.02
    014%
    120%
    221%
    317%
    412%
    58%
    6+9%
  • Ryan Leonard

    DEF · Millwall

    provisional
    Mins
    73
    Proj.
    2.19
    O 1.5
    57%
    Model /90
    2.69
    020%
    122%
    220%
    315%
    410%
    56%
    6+6%
  • Casper De Norre

    MID · Millwall

    provisional
    Mins
    78
    Proj.
    2.04
    O 1.5
    57%
    Model /90
    2.37
    017%
    126%
    224%
    316%
    49%
    55%
    6+3%
  • Joe Bryan

    DEF · Millwall

    provisional
    Mins
    69
    Proj.
    1.84
    O 1.5
    49%
    Model /90
    2.40
    026%
    124%
    219%
    314%
    48%
    54%
    6+4%
  • Billy Mitchell

    MID · Millwall

    provisional
    Mins
    62
    Proj.
    1.81
    O 1.5
    48%
    Model /90
    2.61
    027%
    125%
    219%
    313%
    48%
    54%
    6+4%
  • Tristan Crama

    DEF · Millwall

    provisional
    Mins
    87
    Proj.
    1.74
    O 1.5
    50%
    Model /90
    1.80
    021%
    129%
    224%
    314%
    47%
    53%
    6+2%
  • Welington Damascena Santos

    DEF · Southampton

    provisional
    Mins
    51
    Proj.
    1.62
    O 1.5
    43%
    Model /90
    2.84
    032%
    125%
    217%
    312%
    47%
    54%
    6+3%
  • Flynn Downes

    MID · Southampton

    provisional
    Mins
    76
    Proj.
    1.60
    O 1.5
    45%
    Model /90
    1.90
    025%
    129%
    222%
    313%
    46%
    53%
    6+2%
  • provisional
    Mins
    60
    Proj.
    1.45
    O 1.5
    40%
    Model /90
    2.19
    033%
    127%
    219%
    311%
    46%
    53%
    6+2%
  • Finn Azaz

    MID · Southampton

    provisional
    Mins
    74
    Proj.
    1.42
    O 1.5
    40%
    Model /90
    1.72
    029%
    131%
    221%
    311%
    45%
    52%
    6+1%
  • Zak Norton Sturge

    DEF · Millwall

    provisional
    Mins
    63
    Proj.
    1.41
    O 1.5
    39%
    Model /90
    2.03
    033%
    128%
    219%
    311%
    45%
    52%
    6+1%
  • Femi Azeez

    MID · Millwall

    provisional
    Mins
    69
    Proj.
    1.41
    O 1.5
    39%
    Model /90
    1.84
    031%
    130%
    220%
    311%
    45%
    52%
    6+1%
  • Japhet Tanganga

    DEF · Millwall

    provisional
    Mins
    89
    Proj.
    1.40
    O 1.5
    40%
    Model /90
    1.42
    027%
    133%
    222%
    311%
    44%
    52%
    6+1%
  • James Bree

    DEF · Southampton

    provisional
    Mins
    74
    Proj.
    1.36
    O 1.5
    38%
    Model /90
    1.66
    031%
    130%
    220%
    311%
    45%
    52%
    6+1%
  • Ryan Manning

    DEF · Southampton

    provisional
    Mins
    71
    Proj.
    1.36
    O 1.5
    38%
    Model /90
    1.71
    032%
    130%
    220%
    311%
    45%
    52%
    6+1%
  • Camiel Neghli

    FWD · Millwall

    provisional
    Mins
    71
    Proj.
    1.35
    O 1.5
    38%
    Model /90
    1.73
    032%
    130%
    220%
    310%
    45%
    52%
    6+1%
  • Derek Mazou-Sacko

    MID · Millwall

    provisional
    Mins
    51
    Proj.
    1.35
    O 1.5
    36%
    Model /90
    2.40
    043%
    122%
    215%
    310%
    46%
    53%
    6+2%
  • Joe Aribo

    MID · Southampton

    provisional
    Mins
    55
    Proj.
    1.32
    O 1.5
    35%
    Model /90
    2.17
    035%
    130%
    218%
    310%
    45%
    52%
    6+1%
  • Alfie Doughty

    MID · Millwall

    provisional
    Mins
    53
    Proj.
    1.26
    O 1.5
    34%
    Model /90
    2.13
    040%
    126%
    216%
    39%
    45%
    52%
    6+1%
  • Jack Stephens

    DEF · Southampton

    provisional
    Mins
    80
    Proj.
    1.24
    O 1.5
    35%
    Model /90
    1.39
    033%
    132%
    220%
    39%
    44%
    51%
    6+1%

20 of 54 players shown, ranked by projection.

Shots54 playersHighest: Adam Armstrong, 2.37 expectedshow

What drives it The player’s own shot rate, shrunk toward others in his position, then adjusted for how many shots the opponent concedes. See what has actually happened.

  • Adam Armstrong

    FWD · Southampton

    provisional
    Mins
    67
    Proj.
    2.37
    O 1.5
    63%
    Model /90
    3.17
    015%
    122%
    221%
    317%
    412%
    57%
    6+6%
  • provisional
    Mins
    66
    Proj.
    2.25
    O 1.5
    62%
    Model /90
    3.06
    015%
    123%
    223%
    317%
    411%
    56%
    6+5%
  • Finn Azaz

    MID · Southampton

    provisional
    Mins
    74
    Proj.
    2.23
    O 1.5
    62%
    Model /90
    2.70
    015%
    123%
    223%
    318%
    411%
    56%
    6+4%
  • Femi Azeez

    MID · Millwall

    provisional
    Mins
    69
    Proj.
    1.97
    O 1.5
    55%
    Model /90
    2.57
    021%
    125%
    222%
    316%
    49%
    55%
    6+3%
  • Mihailo Ivanović

    FWD · Millwall

    provisional
    Mins
    63
    Proj.
    1.58
    O 1.5
    44%
    Model /90
    2.27
    029%
    128%
    220%
    312%
    47%
    53%
    6+2%
  • Cyle Larin

    FWD · Southampton

    provisional
    Mins
    53
    Proj.
    1.56
    O 1.5
    43%
    Model /90
    2.66
    028%
    129%
    220%
    312%
    46%
    53%
    6+2%
  • Josh Coburn

    FWD · Millwall

    provisional
    Mins
    66
    Proj.
    1.54
    O 1.5
    44%
    Model /90
    2.10
    027%
    129%
    222%
    313%
    46%
    52%
    6+1%
  • Ross Stewart

    FWD · Southampton

    provisional
    Mins
    38
    Proj.
    1.32
    O 1.5
    35%
    Model /90
    3.12
    034%
    130%
    218%
    39%
    45%
    52%
    6+1%
  • provisional
    Mins
    60
    Proj.
    1.30
    O 1.5
    37%
    Model /90
    1.97
    035%
    128%
    219%
    310%
    45%
    52%
    6+1%
  • Camiel Neghli

    FWD · Millwall

    provisional
    Mins
    71
    Proj.
    1.28
    O 1.5
    36%
    Model /90
    1.63
    033%
    131%
    220%
    310%
    44%
    51%
    6+1%
  • Cameron Archer

    FWD · Southampton

    provisional
    Mins
    38
    Proj.
    1.16
    O 1.5
    30%
    Model /90
    2.77
    040%
    129%
    215%
    38%
    44%
    52%
    6+1%
  • Kuryu Matsuki

    MID · Southampton

    provisional
    Mins
    51
    Proj.
    1.10
    O 1.5
    30%
    Model /90
    1.96
    041%
    130%
    216%
    38%
    43%
    51%
    6+1%
  • Tom Fellows

    MID · Southampton

    provisional
    Mins
    60
    Proj.
    1.03
    O 1.5
    28%
    Model /90
    1.56
    039%
    133%
    217%
    37%
    42%
    51%
    6+0%
  • Aidomo Emakhu

    FWD · Millwall

    provisional
    Mins
    36
    Proj.
    0.94
    O 1.5
    24%
    Model /90
    2.39
    048%
    128%
    213%
    36%
    43%
    51%
    6+1%
  • Caleb Taylor

    DEF · Millwall

    provisional
    Mins
    80
    Proj.
    0.92
    O 1.5
    24%
    Model /90
    1.03
    043%
    133%
    216%
    36%
    42%
    50%
    6+0%
  • Japhet Tanganga

    DEF · Millwall

    provisional
    Mins
    89
    Proj.
    0.91
    O 1.5
    23%
    Model /90
    0.93
    041%
    136%
    216%
    35%
    41%
    5+0%
  • Ryan Manning

    DEF · Southampton

    provisional
    Mins
    71
    Proj.
    0.90
    O 1.5
    24%
    Model /90
    1.14
    044%
    132%
    216%
    36%
    42%
    50%
    6+0%
  • Damion Downs

    FWD · Southampton

    provisional
    Mins
    25
    Proj.
    0.90
    O 1.5
    22%
    Model /90
    3.25
    044%
    134%
    214%
    35%
    42%
    51%
    6+0%
  • Jake Cooper

    DEF · Millwall

    provisional
    Mins
    89
    Proj.
    0.88
    O 1.5
    22%
    Model /90
    0.88
    043%
    135%
    216%
    35%
    41%
    5+0%
  • Macaulay Langstaff

    FWD · Millwall

    provisional
    Mins
    38
    Proj.
    0.86
    O 1.5
    22%
    Model /90
    2.02
    051%
    127%
    212%
    36%
    42%
    51%
    6+0%

20 of 54 players shown, ranked by projection.

Shots on target54 playersHighest: Adam Armstrong, 0.96 expectedshow

What drives it Shot volume first, conversion second — literally: the projection is the shots model thinned by the player’s own on-target rate, so a high-volume low-accuracy shooter and a sniper price differently at the same shot count. See what has actually happened.

  • Adam Armstrong

    FWD · Southampton

    provisional
    Mins
    67
    Proj.
    0.96
    O 0.5
    58%
    Model /90
    1.28
    042%
    133%
    217%
    36%
    42%
    50%
    6+0%
  • provisional
    Mins
    66
    Proj.
    0.93
    O 0.5
    58%
    Model /90
    1.26
    042%
    134%
    216%
    36%
    42%
    50%
    6+0%
  • Cyle Larin

    FWD · Southampton

    provisional
    Mins
    53
    Proj.
    0.76
    O 0.5
    49%
    Model /90
    1.29
    051%
    131%
    213%
    34%
    41%
    5+0%
  • Finn Azaz

    MID · Southampton

    provisional
    Mins
    74
    Proj.
    0.72
    O 0.5
    50%
    Model /90
    0.87
    050%
    133%
    212%
    33%
    41%
    5+0%
  • Mihailo Ivanović

    FWD · Millwall

    provisional
    Mins
    63
    Proj.
    0.71
    O 0.5
    47%
    Model /90
    1.02
    053%
    130%
    212%
    34%
    41%
    5+0%
  • Femi Azeez

    MID · Millwall

    provisional
    Mins
    69
    Proj.
    0.69
    O 0.5
    47%
    Model /90
    0.90
    053%
    131%
    212%
    33%
    41%
    5+0%
  • Josh Coburn

    FWD · Millwall

    provisional
    Mins
    66
    Proj.
    0.68
    O 0.5
    47%
    Model /90
    0.93
    053%
    131%
    212%
    33%
    41%
    5+0%
  • Ross Stewart

    FWD · Southampton

    provisional
    Mins
    38
    Proj.
    0.60
    O 0.5
    42%
    Model /90
    1.43
    058%
    128%
    210%
    33%
    41%
    5+0%
  • Cameron Archer

    FWD · Southampton

    provisional
    Mins
    38
    Proj.
    0.45
    O 0.5
    33%
    Model /90
    1.08
    067%
    124%
    27%
    32%
    4+0%
  • provisional
    Mins
    60
    Proj.
    0.42
    O 0.5
    33%
    Model /90
    0.64
    067%
    125%
    26%
    31%
    4+0%
  • Camiel Neghli

    FWD · Millwall

    provisional
    Mins
    71
    Proj.
    0.41
    O 0.5
    33%
    Model /90
    0.53
    067%
    126%
    26%
    31%
    4+0%
  • Macaulay Langstaff

    FWD · Millwall

    provisional
    Mins
    38
    Proj.
    0.36
    O 0.5
    27%
    Model /90
    0.84
    073%
    121%
    25%
    31%
    4+0%
  • Kuryu Matsuki

    MID · Southampton

    provisional
    Mins
    51
    Proj.
    0.34
    O 0.5
    27%
    Model /90
    0.60
    073%
    122%
    25%
    31%
    4+0%
  • Ryan Fraser

    FWD · Southampton

    provisional
    Mins
    50
    Proj.
    0.31
    O 0.5
    26%
    Model /90
    0.57
    074%
    121%
    24%
    3+1%
  • Taylor Harwood-Bellis

    DEF · Southampton

    provisional
    Mins
    87
    Proj.
    0.30
    O 0.5
    26%
    Model /90
    0.31
    074%
    122%
    23%
    3+0%
  • Caleb Taylor

    DEF · Millwall

    provisional
    Mins
    80
    Proj.
    0.28
    O 0.5
    24%
    Model /90
    0.31
    076%
    120%
    23%
    3+0%
  • Jake Cooper

    DEF · Millwall

    provisional
    Mins
    89
    Proj.
    0.28
    O 0.5
    24%
    Model /90
    0.28
    076%
    121%
    23%
    3+0%
  • Raees Bangura-Williams

    FWD · Millwall

    provisional
    Mins
    44
    Proj.
    0.27
    O 0.5
    22%
    Model /90
    0.55
    078%
    118%
    23%
    3+1%
  • Tom Fellows

    MID · Southampton

    provisional
    Mins
    60
    Proj.
    0.27
    O 0.5
    23%
    Model /90
    0.40
    077%
    120%
    23%
    3+0%
  • Damion Downs

    FWD · Southampton

    provisional
    Mins
    25
    Proj.
    0.25
    O 0.5
    22%
    Model /90
    0.91
    078%
    118%
    23%
    3+0%

20 of 54 players shown, ranked by projection.

Fouls won54 playersHighest: Leonardo Weschenfelder-Scienza, 2.60 expectedshow

What drives it How much a player runs at defenders. Dribble volume drives this far more than the referee does. See what has actually happened.

  • provisional
    Mins
    66
    Proj.
    2.60
    O 1.5
    68%
    Model /90
    3.53
    012%
    120%
    221%
    318%
    413%
    58%
    6+8%
  • Ryan Manning

    DEF · Southampton

    provisional
    Mins
    71
    Proj.
    1.22
    O 1.5
    34%
    Model /90
    1.54
    034%
    131%
    220%
    39%
    44%
    51%
    6+0%
  • Finn Azaz

    MID · Southampton

    provisional
    Mins
    74
    Proj.
    1.13
    O 1.5
    31%
    Model /90
    1.37
    035%
    134%
    219%
    38%
    43%
    51%
    6+0%
  • Kuryu Matsuki

    MID · Southampton

    provisional
    Mins
    51
    Proj.
    1.13
    O 1.5
    30%
    Model /90
    2.00
    040%
    130%
    217%
    38%
    44%
    51%
    6+1%
  • Caspar Jander

    MID · Southampton

    provisional
    Mins
    78
    Proj.
    1.09
    O 1.5
    30%
    Model /90
    1.27
    037%
    133%
    219%
    38%
    43%
    51%
    6+0%
  • Flynn Downes

    MID · Southampton

    provisional
    Mins
    76
    Proj.
    1.07
    O 1.5
    29%
    Model /90
    1.28
    037%
    134%
    219%
    37%
    42%
    51%
    6+0%
  • Ryan Leonard

    DEF · Millwall

    provisional
    Mins
    73
    Proj.
    1.05
    O 1.5
    29%
    Model /90
    1.29
    040%
    132%
    218%
    38%
    43%
    51%
    6+0%
  • Japhet Tanganga

    DEF · Millwall

    provisional
    Mins
    89
    Proj.
    1.03
    O 1.5
    28%
    Model /90
    1.05
    037%
    136%
    218%
    37%
    42%
    50%
    6+0%
  • Josh Coburn

    FWD · Millwall

    provisional
    Mins
    66
    Proj.
    1.03
    O 1.5
    28%
    Model /90
    1.41
    040%
    133%
    217%
    37%
    42%
    51%
    6+0%
  • Joe Aribo

    MID · Southampton

    provisional
    Mins
    55
    Proj.
    0.89
    O 1.5
    23%
    Model /90
    1.47
    046%
    131%
    215%
    36%
    42%
    51%
    6+0%
  • Taylor Harwood-Bellis

    DEF · Southampton

    provisional
    Mins
    87
    Proj.
    0.86
    O 1.5
    21%
    Model /90
    0.88
    043%
    135%
    215%
    35%
    41%
    5+0%
  • Cyle Larin

    FWD · Southampton

    provisional
    Mins
    53
    Proj.
    0.82
    O 1.5
    21%
    Model /90
    1.41
    048%
    131%
    214%
    35%
    42%
    50%
    6+0%
  • Samuel Edozie

    FWD · Southampton

    provisional
    Mins
    25
    Proj.
    0.81
    O 1.5
    19%
    Model /90
    2.94
    049%
    132%
    212%
    34%
    42%
    51%
    6+0%
  • Tom Fellows

    MID · Southampton

    provisional
    Mins
    60
    Proj.
    0.79
    O 1.5
    19%
    Model /90
    1.20
    048%
    133%
    214%
    34%
    41%
    5+0%
  • provisional
    Mins
    60
    Proj.
    0.77
    O 1.5
    19%
    Model /90
    1.16
    050%
    130%
    213%
    34%
    41%
    5+0%
  • Aidomo Emakhu

    FWD · Millwall

    provisional
    Mins
    36
    Proj.
    0.75
    O 1.5
    18%
    Model /90
    1.89
    055%
    127%
    211%
    35%
    42%
    51%
    6+0%
  • Joe Bryan

    DEF · Millwall

    provisional
    Mins
    69
    Proj.
    0.73
    O 1.5
    18%
    Model /90
    0.95
    052%
    130%
    213%
    34%
    41%
    5+0%
  • Cameron Bragg

    MID · Southampton

    provisional
    Mins
    40
    Proj.
    0.67
    O 1.5
    17%
    Model /90
    1.50
    058%
    126%
    210%
    34%
    41%
    50%
    6+0%
  • Ryan Fraser

    FWD · Southampton

    provisional
    Mins
    50
    Proj.
    0.67
    O 1.5
    16%
    Model /90
    1.21
    055%
    129%
    211%
    34%
    41%
    5+0%
  • Femi Azeez

    MID · Millwall

    provisional
    Mins
    69
    Proj.
    0.66
    O 1.5
    15%
    Model /90
    0.85
    054%
    131%
    211%
    33%
    41%
    5+0%

20 of 54 players shown, ranked by projection.

Cards54 playersHighest: Flynn Downes, 0.27 expectedshow

Known defect Prices ANY card — yellow, second yellow or straight red — matching how books settle "to be shown a card". The trends column counts the same thing.

What drives it Fouls first, then how readily the referee reaches for a card. Two officials averaging four cards a match can do it for opposite reasons. See what has actually happened.

  • Flynn Downes

    MID · Southampton

    provisional
    Mins
    76
    Proj.
    0.27
    O 0.5
    24%
    Model /90
    0.32
    076%
    120%
    23%
    3+0%
  • Gavin Bazunu

    GK · Southampton

    provisional
    Mins
    90
    Proj.
    0.25
    O 0.5
    22%
    Model /90
    0.25
    078%
    120%
    23%
    3+0%
  • Aaron Ramsdale

    GK · Southampton

    provisional
    Mins
    90
    Proj.
    0.18
    O 0.5
    17%
    Model /90
    0.18
    083%
    115%
    2+2%
  • Taylor Harwood-Bellis

    DEF · Southampton

    provisional
    Mins
    87
    Proj.
    0.18
    O 0.5
    16%
    Model /90
    0.19
    084%
    115%
    2+1%
  • Tristan Crama

    DEF · Millwall

    provisional
    Mins
    87
    Proj.
    0.18
    O 0.5
    16%
    Model /90
    0.18
    084%
    115%
    2+1%
  • Jake Cooper

    DEF · Millwall

    provisional
    Mins
    89
    Proj.
    0.18
    O 0.5
    16%
    Model /90
    0.18
    084%
    115%
    2+1%
  • Femi Azeez

    MID · Millwall

    provisional
    Mins
    69
    Proj.
    0.18
    O 0.5
    16%
    Model /90
    0.23
    084%
    114%
    21%
    3+0%
  • Ryan Leonard

    DEF · Millwall

    provisional
    Mins
    73
    Proj.
    0.17
    O 0.5
    16%
    Model /90
    0.21
    084%
    114%
    21%
    3+0%
  • Joe Bryan

    DEF · Millwall

    provisional
    Mins
    69
    Proj.
    0.17
    O 0.5
    16%
    Model /90
    0.22
    084%
    114%
    21%
    3+0%
  • Caspar Jander

    MID · Southampton

    provisional
    Mins
    78
    Proj.
    0.16
    O 0.5
    14%
    Model /90
    0.18
    086%
    113%
    2+1%
  • Zak Norton Sturge

    DEF · Millwall

    provisional
    Mins
    63
    Proj.
    0.15
    O 0.5
    14%
    Model /90
    0.22
    086%
    113%
    2+1%
  • Japhet Tanganga

    DEF · Millwall

    provisional
    Mins
    89
    Proj.
    0.15
    O 0.5
    14%
    Model /90
    0.15
    086%
    113%
    2+1%
  • Joshua Quarshie

    DEF · Southampton

    provisional
    Mins
    73
    Proj.
    0.14
    O 0.5
    13%
    Model /90
    0.17
    087%
    112%
    2+1%
  • provisional
    Mins
    60
    Proj.
    0.13
    O 0.5
    12%
    Model /90
    0.20
    088%
    111%
    2+1%
  • Alfie Doughty

    MID · Millwall

    provisional
    Mins
    53
    Proj.
    0.13
    O 0.5
    12%
    Model /90
    0.21
    088%
    111%
    2+1%
  • Nathan Wood-Gordon

    DEF · Southampton

    provisional
    Mins
    72
    Proj.
    0.12
    O 0.5
    12%
    Model /90
    0.15
    088%
    111%
    2+1%
  • Luke Cundle

    MID · Millwall

    provisional
    Mins
    45
    Proj.
    0.12
    O 0.5
    11%
    Model /90
    0.25
    089%
    110%
    2+1%
  • Cyle Larin

    FWD · Southampton

    provisional
    Mins
    53
    Proj.
    0.12
    O 0.5
    11%
    Model /90
    0.21
    089%
    110%
    2+1%
  • Casper De Norre

    MID · Millwall

    provisional
    Mins
    78
    Proj.
    0.12
    O 0.5
    11%
    Model /90
    0.14
    089%
    110%
    2+1%
  • Billy Mitchell

    MID · Millwall

    provisional
    Mins
    62
    Proj.
    0.12
    O 0.5
    11%
    Model /90
    0.17
    089%
    110%
    2+1%

20 of 54 players shown, ranked by projection.

Saves54 playersHighest: Maxime Teremoana Crocombe, 3.22 expectedshow

What drives it Opponent shot volume. A keeper’s own record carries so little that this market shrinks harder than any other on the board. See what has actually happened.

  • provisional
    Mins
    90
    Proj.
    3.22
    O 2.5
    60%
    Model /90
    3.22
    06%
    115%
    220%
    320%
    416%
    511%
    6+13%
  • Aaron Ramsdale

    GK · Southampton

    provisional
    Mins
    90
    Proj.
    2.94
    O 2.5
    54%
    Model /90
    2.94
    07%
    117%
    222%
    320%
    415%
    59%
    6+10%
  • Alex McCarthy

    GK · Southampton

    provisional
    Mins
    90
    Proj.
    2.46
    O 2.5
    44%
    Model /90
    2.46
    010%
    122%
    224%
    319%
    412%
    57%
    6+5%
  • Daniel Peretz

    GK · Southampton

    provisional
    Mins
    91
    Proj.
    2.44
    O 2.5
    43%
    Model /90
    2.41
    011%
    122%
    224%
    319%
    412%
    57%
    6+5%
  • Gavin Bazunu

    GK · Southampton

    provisional
    Mins
    90
    Proj.
    2.26
    O 2.5
    39%
    Model /90
    2.26
    012%
    124%
    225%
    318%
    411%
    55%
    6+4%
  • Japhet Tanganga

    DEF · Millwall

    provisional
    Mins
    89
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Jake Cooper

    DEF · Millwall

    provisional
    Mins
    89
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Tristan Crama

    DEF · Millwall

    provisional
    Mins
    87
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Caleb Taylor

    DEF · Millwall

    provisional
    Mins
    80
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Casper De Norre

    MID · Millwall

    provisional
    Mins
    78
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Ryan Leonard

    DEF · Millwall

    provisional
    Mins
    73
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Camiel Neghli

    FWD · Millwall

    provisional
    Mins
    71
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Femi Azeez

    MID · Millwall

    provisional
    Mins
    69
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Joe Bryan

    DEF · Millwall

    provisional
    Mins
    69
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Josh Coburn

    FWD · Millwall

    provisional
    Mins
    66
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Zak Norton Sturge

    DEF · Millwall

    provisional
    Mins
    63
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Billy Mitchell

    MID · Millwall

    provisional
    Mins
    62
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Mihailo Ivanović

    FWD · Millwall

    provisional
    Mins
    63
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • provisional
    Mins
    60
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Taylor Harwood-Bellis

    DEF · Southampton

    provisional
    Mins
    87
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%

20 of 54 players shown, ranked by projection.