PER90

Premier League · England

LiverpoolvNottingham Forest

Anfieldlineups 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

Fouls40 playersHighest: Ibrahim Sangaré, 1.28 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.

  • Ibrahim Sangaré

    MID · Nottingham Forest

    provisional
    Mins
    65
    Proj.
    1.28
    O 1.5
    37%
    Model /90
    1.77
    034%
    129%
    220%
    310%
    44%
    51%
    6+1%
  • Alexis Mac Allister

    MID · Liverpool

    provisional
    Mins
    73
    Proj.
    1.24
    O 1.5
    35%
    Model /90
    1.53
    032%
    133%
    221%
    310%
    43%
    51%
    6+0%
  • Hugo Ekitike

    FWD · Liverpool

    provisional
    Mins
    65
    Proj.
    1.15
    O 1.5
    32%
    Model /90
    1.59
    035%
    133%
    219%
    38%
    43%
    51%
    6+0%
  • Ryan Yates

    MID · Nottingham Forest

    provisional
    Mins
    45
    Proj.
    1.11
    O 1.5
    29%
    Model /90
    2.25
    040%
    130%
    216%
    38%
    44%
    51%
    6+1%
  • Ryan Gravenberch

    MID · Liverpool

    provisional
    Mins
    84
    Proj.
    1.08
    O 1.5
    30%
    Model /90
    1.16
    035%
    136%
    220%
    37%
    42%
    50%
    6+0%
  • Igor Jesus Maciel da Cruz

    FWD · Nottingham Forest

    provisional
    Mins
    63
    Proj.
    1.07
    O 1.5
    29%
    Model /90
    1.54
    038%
    133%
    218%
    38%
    42%
    51%
    6+0%
  • Dominik Szoboszlai

    MID · Liverpool

    provisional
    Mins
    80
    Proj.
    1.07
    O 1.5
    29%
    Model /90
    1.21
    036%
    135%
    219%
    37%
    42%
    51%
    6+0%
  • Conor Bradley

    DEF · Liverpool

    provisional
    Mins
    50
    Proj.
    0.91
    O 1.5
    24%
    Model /90
    1.65
    044%
    132%
    215%
    36%
    42%
    50%
    6+0%
  • Mohamed Salah Ghaly

    FWD · Liverpool

    provisional
    Mins
    89
    Proj.
    0.90
    O 1.5
    23%
    Model /90
    0.91
    041%
    136%
    216%
    35%
    41%
    5+0%
  • Morgan Gibbs-White

    MID · Nottingham Forest

    provisional
    Mins
    84
    Proj.
    0.85
    O 1.5
    21%
    Model /90
    0.92
    043%
    136%
    215%
    35%
    41%
    5+0%
  • Cody Mathès Gakpo

    FWD · Liverpool

    provisional
    Mins
    66
    Proj.
    0.85
    O 1.5
    22%
    Model /90
    1.15
    046%
    133%
    215%
    35%
    41%
    5+0%
  • Nicolò Savona

    DEF · Nottingham Forest

    provisional
    Mins
    73
    Proj.
    0.84
    O 1.5
    21%
    Model /90
    1.03
    045%
    134%
    215%
    35%
    41%
    5+0%
  • Nicolás Martín Domínguez

    MID · Nottingham Forest

    provisional
    Mins
    52
    Proj.
    0.82
    O 1.5
    21%
    Model /90
    1.42
    048%
    132%
    214%
    35%
    41%
    5+0%
  • Murillo Santiago Costa dos Santos

    DEF · Nottingham Forest

    provisional
    Mins
    87
    Proj.
    0.77
    O 1.5
    18%
    Model /90
    0.79
    047%
    135%
    214%
    34%
    41%
    5+0%
  • Omari Giraud-Hutchinson

    FWD · Nottingham Forest

    provisional
    Mins
    54
    Proj.
    0.74
    O 1.5
    18%
    Model /90
    1.23
    051%
    131%
    213%
    34%
    41%
    5+0%
  • Neco Williams

    DEF · Nottingham Forest

    provisional
    Mins
    80
    Proj.
    0.74
    O 1.5
    18%
    Model /90
    0.83
    049%
    133%
    213%
    34%
    41%
    5+0%
  • Milos Kerkez

    DEF · Liverpool

    provisional
    Mins
    67
    Proj.
    0.70
    O 1.5
    17%
    Model /90
    0.95
    052%
    131%
    212%
    33%
    41%
    5+0%
  • Temitayo Olufisayo Olaoluwa Aina

    DEF · Nottingham Forest

    provisional
    Mins
    87
    Proj.
    0.68
    O 1.5
    15%
    Model /90
    0.71
    051%
    134%
    212%
    33%
    4+1%
  • Chris Wood

    FWD · Nottingham Forest

    provisional
    Mins
    76
    Proj.
    0.67
    O 1.5
    15%
    Model /90
    0.79
    052%
    133%
    212%
    33%
    4+1%
  • Florian Wirtz

    MID · Liverpool

    provisional
    Mins
    72
    Proj.
    0.66
    O 1.5
    15%
    Model /90
    0.82
    053%
    132%
    211%
    33%
    41%
    5+0%

20 of 40 players shown, ranked by projection.

Tackles40 playersHighest: Neco Williams, 2.48 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.

  • Neco Williams

    DEF · Nottingham Forest

    provisional
    Mins
    80
    Proj.
    2.48
    O 1.5
    65%
    Model /90
    2.77
    015%
    121%
    221%
    317%
    412%
    57%
    6+7%
  • Nicolás Martín Domínguez

    MID · Nottingham Forest

    provisional
    Mins
    52
    Proj.
    2.20
    O 1.5
    56%
    Model /90
    3.83
    021%
    123%
    219%
    314%
    410%
    56%
    6+7%
  • Ibrahim Sangaré

    MID · Nottingham Forest

    provisional
    Mins
    65
    Proj.
    2.13
    O 1.5
    56%
    Model /90
    2.95
    023%
    122%
    219%
    315%
    410%
    56%
    6+6%
  • Alexis Mac Allister

    MID · Liverpool

    provisional
    Mins
    73
    Proj.
    1.94
    O 1.5
    53%
    Model /90
    2.38
    021%
    126%
    222%
    315%
    49%
    54%
    6+3%
  • Ryan Gravenberch

    MID · Liverpool

    provisional
    Mins
    84
    Proj.
    1.72
    O 1.5
    49%
    Model /90
    1.83
    021%
    130%
    224%
    314%
    47%
    53%
    6+2%
  • Temitayo Olufisayo Olaoluwa Aina

    DEF · Nottingham Forest

    provisional
    Mins
    87
    Proj.
    1.68
    O 1.5
    48%
    Model /90
    1.75
    022%
    130%
    224%
    314%
    47%
    53%
    6+1%
  • Nicolò Savona

    DEF · Nottingham Forest

    provisional
    Mins
    73
    Proj.
    1.62
    O 1.5
    45%
    Model /90
    1.99
    026%
    129%
    221%
    313%
    46%
    53%
    6+2%
  • Konstantinos Tsimikas

    DEF · Liverpool

    provisional
    Mins
    46
    Proj.
    1.56
    O 1.5
    40%
    Model /90
    3.03
    035%
    125%
    216%
    310%
    46%
    54%
    6+4%
  • Murillo Santiago Costa dos Santos

    DEF · Nottingham Forest

    provisional
    Mins
    87
    Proj.
    1.44
    O 1.5
    41%
    Model /90
    1.49
    026%
    133%
    222%
    311%
    45%
    52%
    6+1%
  • Milos Kerkez

    DEF · Liverpool

    provisional
    Mins
    67
    Proj.
    1.34
    O 1.5
    38%
    Model /90
    1.82
    033%
    129%
    219%
    310%
    45%
    52%
    6+1%
  • Dominik Szoboszlai

    MID · Liverpool

    provisional
    Mins
    80
    Proj.
    1.33
    O 1.5
    37%
    Model /90
    1.50
    031%
    132%
    221%
    310%
    44%
    51%
    6+1%
  • Curtis Jones

    MID · Liverpool

    provisional
    Mins
    54
    Proj.
    1.25
    O 1.5
    34%
    Model /90
    2.08
    037%
    129%
    217%
    39%
    44%
    52%
    6+1%
  • Felipe Rodrigues

    DEF · Nottingham Forest

    provisional
    Mins
    48
    Proj.
    1.15
    O 1.5
    30%
    Model /90
    2.17
    044%
    127%
    214%
    38%
    44%
    52%
    6+1%
  • Nikola Milenković

    DEF · Nottingham Forest

    provisional
    Mins
    89
    Proj.
    1.15
    O 1.5
    31%
    Model /90
    1.16
    034%
    134%
    219%
    38%
    43%
    51%
    6+0%
  • Conor Bradley

    DEF · Liverpool

    provisional
    Mins
    50
    Proj.
    1.10
    O 1.5
    29%
    Model /90
    1.99
    040%
    131%
    217%
    38%
    43%
    51%
    6+1%
  • Ryan Yates

    MID · Nottingham Forest

    provisional
    Mins
    45
    Proj.
    1.09
    O 1.5
    28%
    Model /90
    2.20
    042%
    130%
    215%
    37%
    43%
    52%
    6+1%
  • Florian Wirtz

    MID · Liverpool

    provisional
    Mins
    72
    Proj.
    1.02
    O 1.5
    27%
    Model /90
    1.27
    040%
    133%
    217%
    37%
    42%
    51%
    6+0%
  • Morgan Gibbs-White

    MID · Nottingham Forest

    provisional
    Mins
    84
    Proj.
    0.98
    O 1.5
    26%
    Model /90
    1.06
    040%
    135%
    217%
    36%
    42%
    50%
    6+0%
  • Dan Ndoye

    FWD · Nottingham Forest

    provisional
    Mins
    49
    Proj.
    0.92
    O 1.5
    24%
    Model /90
    1.68
    047%
    129%
    214%
    36%
    42%
    51%
    6+0%
  • Mohamed Salah Ghaly

    FWD · Liverpool

    provisional
    Mins
    89
    Proj.
    0.90
    O 1.5
    23%
    Model /90
    0.91
    042%
    135%
    216%
    35%
    41%
    5+0%

20 of 40 players shown, ranked by projection.

Shots40 playersHighest: Mohamed Salah Ghaly, 3.07 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.

  • Mohamed Salah Ghaly

    FWD · Liverpool

    provisional
    Mins
    89
    Proj.
    3.07
    O 1.5
    79%
    Model /90
    3.10
    06%
    115%
    221%
    321%
    416%
    510%
    6+11%
  • Hugo Ekitike

    FWD · Liverpool

    provisional
    Mins
    65
    Proj.
    2.37
    O 1.5
    62%
    Model /90
    3.29
    016%
    122%
    221%
    317%
    411%
    57%
    6+6%
  • Cody Mathès Gakpo

    FWD · Liverpool

    provisional
    Mins
    66
    Proj.
    2.18
    O 1.5
    59%
    Model /90
    2.98
    018%
    123%
    221%
    316%
    411%
    56%
    6+5%
  • Dominik Szoboszlai

    MID · Liverpool

    provisional
    Mins
    80
    Proj.
    2.14
    O 1.5
    60%
    Model /90
    2.42
    016%
    124%
    224%
    317%
    410%
    55%
    6+4%
  • Florian Wirtz

    MID · Liverpool

    provisional
    Mins
    72
    Proj.
    1.74
    O 1.5
    49%
    Model /90
    2.16
    022%
    128%
    223%
    314%
    47%
    53%
    6+2%
  • Morgan Gibbs-White

    MID · Nottingham Forest

    provisional
    Mins
    84
    Proj.
    1.60
    O 1.5
    47%
    Model /90
    1.73
    022%
    131%
    224%
    313%
    46%
    52%
    6+1%
  • Alexander Isak

    FWD · Liverpool

    provisional
    Mins
    50
    Proj.
    1.58
    O 1.5
    42%
    Model /90
    2.84
    032%
    126%
    218%
    312%
    47%
    54%
    6+3%
  • Igor Jesus Maciel da Cruz

    FWD · Nottingham Forest

    provisional
    Mins
    63
    Proj.
    1.55
    O 1.5
    44%
    Model /90
    2.23
    027%
    129%
    222%
    313%
    46%
    52%
    6+1%
  • Chris Wood

    FWD · Nottingham Forest

    provisional
    Mins
    76
    Proj.
    1.52
    O 1.5
    44%
    Model /90
    1.80
    025%
    131%
    223%
    313%
    45%
    52%
    6+1%
  • Alexis Mac Allister

    MID · Liverpool

    provisional
    Mins
    73
    Proj.
    1.29
    O 1.5
    37%
    Model /90
    1.59
    031%
    132%
    221%
    310%
    44%
    51%
    6+1%
  • Callum Hudson-Odoi

    FWD · Nottingham Forest

    provisional
    Mins
    66
    Proj.
    0.97
    O 1.5
    25%
    Model /90
    1.31
    041%
    133%
    217%
    36%
    42%
    51%
    6+0%
  • Rio Ngumoha

    FWD · Liverpool

    provisional
    Mins
    29
    Proj.
    0.93
    O 1.5
    23%
    Model /90
    2.84
    051%
    127%
    211%
    36%
    43%
    51%
    6+1%
  • Ryan Gravenberch

    MID · Liverpool

    provisional
    Mins
    84
    Proj.
    0.85
    O 1.5
    21%
    Model /90
    0.91
    044%
    135%
    215%
    35%
    41%
    5+0%
  • Curtis Jones

    MID · Liverpool

    provisional
    Mins
    54
    Proj.
    0.85
    O 1.5
    22%
    Model /90
    1.40
    048%
    130%
    214%
    35%
    42%
    51%
    6+0%
  • Neco Williams

    DEF · Nottingham Forest

    provisional
    Mins
    80
    Proj.
    0.84
    O 1.5
    21%
    Model /90
    0.94
    045%
    134%
    215%
    35%
    41%
    5+0%
  • Harvey Elliot

    MID · Liverpool

    provisional
    Mins
    20
    Proj.
    0.84
    O 1.5
    18%
    Model /90
    3.70
    053%
    129%
    210%
    34%
    42%
    51%
    6+1%
  • Virgil van Dijk

    DEF · Liverpool

    provisional
    Mins
    90
    Proj.
    0.78
    O 1.5
    18%
    Model /90
    0.78
    047%
    135%
    214%
    34%
    41%
    5+0%
  • Omari Giraud-Hutchinson

    FWD · Nottingham Forest

    provisional
    Mins
    54
    Proj.
    0.71
    O 1.5
    17%
    Model /90
    1.17
    053%
    130%
    212%
    34%
    41%
    5+0%
  • Dilane Bakwa

    FWD · Nottingham Forest

    provisional
    Mins
    40
    Proj.
    0.68
    O 1.5
    16%
    Model /90
    1.55
    055%
    129%
    211%
    34%
    41%
    5+0%
  • Dan Ndoye

    FWD · Nottingham Forest

    provisional
    Mins
    49
    Proj.
    0.64
    O 1.5
    15%
    Model /90
    1.17
    057%
    128%
    211%
    33%
    41%
    5+0%

20 of 40 players shown, ranked by projection.

Shots on target37 playersHighest: Mohamed Salah Ghaly, 1.29 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.

  • Mohamed Salah Ghaly

    FWD · Liverpool

    provisional
    Mins
    89
    Proj.
    1.29
    O 0.5
    71%
    Model /90
    1.30
    029%
    135%
    222%
    310%
    43%
    51%
    6+0%
  • Hugo Ekitike

    FWD · Liverpool

    provisional
    Mins
    65
    Proj.
    0.77
    O 0.5
    51%
    Model /90
    1.07
    049%
    132%
    213%
    34%
    41%
    5+0%
  • Chris Wood

    FWD · Nottingham Forest

    provisional
    Mins
    76
    Proj.
    0.73
    O 0.5
    50%
    Model /90
    0.87
    050%
    133%
    213%
    34%
    41%
    5+0%
  • Dominik Szoboszlai

    MID · Liverpool

    provisional
    Mins
    80
    Proj.
    0.71
    O 0.5
    50%
    Model /90
    0.81
    050%
    133%
    212%
    33%
    41%
    5+0%
  • Cody Mathès Gakpo

    FWD · Liverpool

    provisional
    Mins
    66
    Proj.
    0.69
    O 0.5
    47%
    Model /90
    0.94
    053%
    131%
    212%
    33%
    41%
    5+0%
  • Alexander Isak

    FWD · Liverpool

    provisional
    Mins
    50
    Proj.
    0.63
    O 0.5
    42%
    Model /90
    1.12
    058%
    128%
    210%
    33%
    41%
    5+0%
  • Florian Wirtz

    MID · Liverpool

    provisional
    Mins
    72
    Proj.
    0.61
    O 0.5
    44%
    Model /90
    0.75
    056%
    131%
    210%
    32%
    4+1%
  • Morgan Gibbs-White

    MID · Nottingham Forest

    provisional
    Mins
    84
    Proj.
    0.59
    O 0.5
    44%
    Model /90
    0.64
    056%
    132%
    210%
    32%
    4+0%
  • Igor Jesus Maciel da Cruz

    FWD · Nottingham Forest

    provisional
    Mins
    63
    Proj.
    0.53
    O 0.5
    39%
    Model /90
    0.76
    061%
    129%
    28%
    32%
    4+0%
  • Callum Hudson-Odoi

    FWD · Nottingham Forest

    provisional
    Mins
    66
    Proj.
    0.38
    O 0.5
    31%
    Model /90
    0.52
    069%
    125%
    25%
    31%
    4+0%
  • Alexis Mac Allister

    MID · Liverpool

    provisional
    Mins
    73
    Proj.
    0.38
    O 0.5
    31%
    Model /90
    0.46
    069%
    125%
    25%
    31%
    4+0%
  • Rio Ngumoha

    FWD · Liverpool

    provisional
    Mins
    29
    Proj.
    0.35
    O 0.5
    26%
    Model /90
    1.07
    074%
    120%
    25%
    31%
    4+0%
  • Omari Giraud-Hutchinson

    FWD · Nottingham Forest

    provisional
    Mins
    54
    Proj.
    0.31
    O 0.5
    26%
    Model /90
    0.51
    074%
    121%
    24%
    3+1%
  • Virgil van Dijk

    DEF · Liverpool

    provisional
    Mins
    90
    Proj.
    0.29
    O 0.5
    25%
    Model /90
    0.29
    075%
    122%
    23%
    3+0%
  • Curtis Jones

    MID · Liverpool

    provisional
    Mins
    54
    Proj.
    0.29
    O 0.5
    24%
    Model /90
    0.47
    076%
    120%
    24%
    3+1%
  • Ryan Gravenberch

    MID · Liverpool

    provisional
    Mins
    84
    Proj.
    0.27
    O 0.5
    23%
    Model /90
    0.29
    077%
    120%
    23%
    3+0%
  • Neco Williams

    DEF · Nottingham Forest

    provisional
    Mins
    80
    Proj.
    0.26
    O 0.5
    22%
    Model /90
    0.29
    078%
    119%
    23%
    3+0%
  • Dilane Bakwa

    FWD · Nottingham Forest

    provisional
    Mins
    40
    Proj.
    0.25
    O 0.5
    21%
    Model /90
    0.57
    079%
    118%
    23%
    3+0%
  • Harvey Elliot

    MID · Liverpool

    provisional
    Mins
    20
    Proj.
    0.24
    O 0.5
    20%
    Model /90
    1.08
    080%
    116%
    23%
    31%
    4+0%
  • Taiwo Michael Awoniyi

    FWD · Nottingham Forest

    provisional
    Mins
    21
    Proj.
    0.23
    O 0.5
    19%
    Model /90
    0.97
    081%
    116%
    23%
    30%
    4+0%

20 of 37 players shown, ranked by projection.

Fouls won40 playersHighest: Ryan Gravenberch, 1.22 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.

  • Ryan Gravenberch

    MID · Liverpool

    provisional
    Mins
    84
    Proj.
    1.22
    O 1.5
    34%
    Model /90
    1.30
    031%
    135%
    221%
    39%
    43%
    51%
    6+0%
  • Neco Williams

    DEF · Nottingham Forest

    provisional
    Mins
    80
    Proj.
    1.19
    O 1.5
    33%
    Model /90
    1.33
    034%
    133%
    220%
    39%
    43%
    51%
    6+0%
  • Morgan Gibbs-White

    MID · Nottingham Forest

    provisional
    Mins
    84
    Proj.
    1.07
    O 1.5
    29%
    Model /90
    1.15
    036%
    135%
    219%
    37%
    42%
    51%
    6+0%
  • Cody Mathès Gakpo

    FWD · Liverpool

    provisional
    Mins
    66
    Proj.
    1.06
    O 1.5
    29%
    Model /90
    1.45
    039%
    132%
    218%
    38%
    43%
    51%
    6+0%
  • Alexis Mac Allister

    MID · Liverpool

    provisional
    Mins
    73
    Proj.
    1.02
    O 1.5
    27%
    Model /90
    1.25
    039%
    133%
    218%
    37%
    42%
    51%
    6+0%
  • Ryan Yates

    MID · Nottingham Forest

    provisional
    Mins
    45
    Proj.
    1.00
    O 1.5
    26%
    Model /90
    2.02
    044%
    130%
    215%
    37%
    43%
    51%
    6+1%
  • Igor Jesus Maciel da Cruz

    FWD · Nottingham Forest

    provisional
    Mins
    63
    Proj.
    0.99
    O 1.5
    26%
    Model /90
    1.43
    041%
    133%
    217%
    37%
    42%
    51%
    6+0%
  • Conor Bradley

    DEF · Liverpool

    provisional
    Mins
    50
    Proj.
    0.89
    O 1.5
    23%
    Model /90
    1.61
    045%
    132%
    215%
    36%
    42%
    51%
    6+0%
  • Jeremie Frimpong

    DEF · Liverpool

    provisional
    Mins
    50
    Proj.
    0.87
    O 1.5
    23%
    Model /90
    1.59
    049%
    128%
    214%
    36%
    42%
    51%
    6+0%
  • Milos Kerkez

    DEF · Liverpool

    provisional
    Mins
    67
    Proj.
    0.86
    O 1.5
    22%
    Model /90
    1.17
    046%
    132%
    215%
    35%
    42%
    5+0%
  • Temitayo Olufisayo Olaoluwa Aina

    DEF · Nottingham Forest

    provisional
    Mins
    87
    Proj.
    0.86
    O 1.5
    21%
    Model /90
    0.89
    043%
    135%
    215%
    35%
    41%
    5+0%
  • Mohamed Salah Ghaly

    FWD · Liverpool

    provisional
    Mins
    89
    Proj.
    0.85
    O 1.5
    21%
    Model /90
    0.86
    043%
    135%
    215%
    35%
    41%
    5+0%
  • Dilane Bakwa

    FWD · Nottingham Forest

    provisional
    Mins
    40
    Proj.
    0.83
    O 1.5
    21%
    Model /90
    1.88
    049%
    130%
    213%
    35%
    42%
    51%
    6+0%
  • Omari Giraud-Hutchinson

    FWD · Nottingham Forest

    provisional
    Mins
    54
    Proj.
    0.79
    O 1.5
    20%
    Model /90
    1.32
    050%
    131%
    213%
    35%
    41%
    50%
    6+0%
  • Dominik Szoboszlai

    MID · Liverpool

    provisional
    Mins
    80
    Proj.
    0.77
    O 1.5
    18%
    Model /90
    0.87
    048%
    134%
    213%
    34%
    41%
    5+0%
  • Curtis Jones

    MID · Liverpool

    provisional
    Mins
    54
    Proj.
    0.73
    O 1.5
    18%
    Model /90
    1.20
    053%
    130%
    212%
    34%
    41%
    5+0%
  • Florian Wirtz

    MID · Liverpool

    provisional
    Mins
    72
    Proj.
    0.69
    O 1.5
    16%
    Model /90
    0.85
    052%
    132%
    212%
    33%
    41%
    5+0%
  • Ibrahim Sangaré

    MID · Nottingham Forest

    provisional
    Mins
    65
    Proj.
    0.64
    O 1.5
    15%
    Model /90
    0.88
    056%
    130%
    211%
    33%
    41%
    5+0%
  • Dan Ndoye

    FWD · Nottingham Forest

    provisional
    Mins
    49
    Proj.
    0.64
    O 1.5
    15%
    Model /90
    1.17
    057%
    128%
    211%
    33%
    41%
    5+0%
  • Chris Wood

    FWD · Nottingham Forest

    provisional
    Mins
    76
    Proj.
    0.62
    O 1.5
    13%
    Model /90
    0.73
    055%
    132%
    210%
    32%
    4+1%

20 of 40 players shown, ranked by projection.

Cards40 playersHighest: Ibrahim Sangaré, 0.22 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.

  • Ibrahim Sangaré

    MID · Nottingham Forest

    provisional
    Mins
    65
    Proj.
    0.22
    O 0.5
    19%
    Model /90
    0.31
    081%
    117%
    22%
    3+0%
  • Conor Bradley

    DEF · Liverpool

    provisional
    Mins
    50
    Proj.
    0.21
    O 0.5
    19%
    Model /90
    0.38
    081%
    116%
    22%
    3+0%
  • Giorgi Mamardashvili

    GK · Liverpool

    provisional
    Mins
    87
    Proj.
    0.21
    O 0.5
    19%
    Model /90
    0.22
    081%
    117%
    22%
    3+0%
  • Ryan Yates

    MID · Nottingham Forest

    provisional
    Mins
    45
    Proj.
    0.20
    O 0.5
    18%
    Model /90
    0.41
    082%
    115%
    22%
    3+0%
  • Dominik Szoboszlai

    MID · Liverpool

    provisional
    Mins
    80
    Proj.
    0.19
    O 0.5
    18%
    Model /90
    0.22
    082%
    116%
    22%
    3+0%
  • Alexis Mac Allister

    MID · Liverpool

    provisional
    Mins
    73
    Proj.
    0.19
    O 0.5
    17%
    Model /90
    0.24
    083%
    116%
    22%
    3+0%
  • Murillo Santiago Costa dos Santos

    DEF · Nottingham Forest

    provisional
    Mins
    87
    Proj.
    0.19
    O 0.5
    17%
    Model /90
    0.19
    083%
    115%
    2+2%
  • Ryan Gravenberch

    MID · Liverpool

    provisional
    Mins
    84
    Proj.
    0.18
    O 0.5
    17%
    Model /90
    0.19
    083%
    115%
    2+2%
  • Felipe Rodrigues

    DEF · Nottingham Forest

    provisional
    Mins
    48
    Proj.
    0.17
    O 0.5
    15%
    Model /90
    0.32
    085%
    113%
    22%
    3+0%
  • Nicolò Savona

    DEF · Nottingham Forest

    provisional
    Mins
    73
    Proj.
    0.17
    O 0.5
    15%
    Model /90
    0.21
    085%
    114%
    2+1%
  • Neco Williams

    DEF · Nottingham Forest

    provisional
    Mins
    80
    Proj.
    0.17
    O 0.5
    15%
    Model /90
    0.19
    085%
    114%
    2+1%
  • Nicolás Martín Domínguez

    MID · Nottingham Forest

    provisional
    Mins
    52
    Proj.
    0.16
    O 0.5
    15%
    Model /90
    0.28
    085%
    113%
    2+1%
  • Morgan Gibbs-White

    MID · Nottingham Forest

    provisional
    Mins
    84
    Proj.
    0.15
    O 0.5
    14%
    Model /90
    0.17
    086%
    113%
    2+1%
  • Mohamed Salah Ghaly

    FWD · Liverpool

    provisional
    Mins
    89
    Proj.
    0.15
    O 0.5
    14%
    Model /90
    0.15
    086%
    113%
    2+1%
  • Temitayo Olufisayo Olaoluwa Aina

    DEF · Nottingham Forest

    provisional
    Mins
    87
    Proj.
    0.14
    O 0.5
    13%
    Model /90
    0.15
    087%
    112%
    2+1%
  • Nikola Milenković

    DEF · Nottingham Forest

    provisional
    Mins
    89
    Proj.
    0.14
    O 0.5
    13%
    Model /90
    0.14
    087%
    112%
    2+1%
  • Milos Kerkez

    DEF · Liverpool

    provisional
    Mins
    67
    Proj.
    0.14
    O 0.5
    13%
    Model /90
    0.18
    087%
    112%
    2+1%
  • Virgil van Dijk

    DEF · Liverpool

    provisional
    Mins
    90
    Proj.
    0.12
    O 0.5
    12%
    Model /90
    0.12
    088%
    111%
    2+1%
  • Joe Gomez

    DEF · Liverpool

    provisional
    Mins
    37
    Proj.
    0.11
    O 0.5
    10%
    Model /90
    0.27
    090%
    19%
    2+1%
  • Omari Giraud-Hutchinson

    FWD · Nottingham Forest

    provisional
    Mins
    54
    Proj.
    0.11
    O 0.5
    10%
    Model /90
    0.18
    090%
    19%
    2+1%

20 of 40 players shown, ranked by projection.

Saves40 playersHighest: Matz Sels, 3.39 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.

  • Matz Sels

    GK · Nottingham Forest

    provisional
    Mins
    88
    Proj.
    3.39
    O 2.5
    63%
    Model /90
    3.46
    06%
    113%
    219%
    319%
    416%
    512%
    6+15%
  • Giorgi Mamardashvili

    GK · Liverpool

    provisional
    Mins
    87
    Proj.
    2.64
    O 2.5
    48%
    Model /90
    2.74
    09%
    120%
    223%
    320%
    413%
    58%
    6+7%
  • Alisson Ramsés Becker

    GK · Liverpool

    provisional
    Mins
    90
    Proj.
    2.37
    O 2.5
    41%
    Model /90
    2.38
    011%
    123%
    225%
    319%
    412%
    56%
    6+5%
  • Nikola Milenković

    DEF · Nottingham Forest

    provisional
    Mins
    89
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Temitayo Olufisayo Olaoluwa Aina

    DEF · Nottingham Forest

    provisional
    Mins
    87
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Murillo Santiago Costa dos Santos

    DEF · Nottingham Forest

    provisional
    Mins
    87
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Morgan Gibbs-White

    MID · Nottingham Forest

    provisional
    Mins
    84
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Neco Williams

    DEF · Nottingham Forest

    provisional
    Mins
    80
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Chris Wood

    FWD · Nottingham Forest

    provisional
    Mins
    76
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Nicolò Savona

    DEF · Nottingham Forest

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

    MID · Nottingham Forest

    provisional
    Mins
    65
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Callum Hudson-Odoi

    FWD · Nottingham Forest

    provisional
    Mins
    66
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Igor Jesus Maciel da Cruz

    FWD · Nottingham Forest

    provisional
    Mins
    63
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Mohamed Salah Ghaly

    FWD · Liverpool

    provisional
    Mins
    89
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Virgil van Dijk

    DEF · Liverpool

    provisional
    Mins
    90
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Omari Giraud-Hutchinson

    FWD · Nottingham Forest

    provisional
    Mins
    54
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Ryan Gravenberch

    MID · Liverpool

    provisional
    Mins
    84
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Nicolás Martín Domínguez

    MID · Nottingham Forest

    provisional
    Mins
    52
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Dominik Szoboszlai

    MID · Liverpool

    provisional
    Mins
    80
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%
  • Dan Ndoye

    FWD · Nottingham Forest

    provisional
    Mins
    49
    Proj.
    0.00
    O 2.5
    Model /90
    0.00
    0100%
    1+0%

20 of 40 players shown, ranked by projection.