PER90My betsAccount

La Liga · Spain

FC BarcelonavRayo Vallecano

Camp Noulineups 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 v20260811-1858 · Tackles v20260811-1858 · Shots v20260811-1858 · Shots on target v20260811-1905 · Fouls won v20260811-1858 · Cards v20260811-1905 · Saves v20260812-1340

Model projections

Fouls42 playersHighest: Pathé Ciss, 1.06 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.

  • Pathé Ciss

    MID · Rayo Vallecano

    provisional
    Mins
    67
    Proj.
    1.06
    O 1.5
    29%
    Model /90
    1.42
    039%
    132%
    217%
    37%
    43%
    51%
    6+0%
  • Óscar Valentín Martín Luengo

    MID · Rayo Vallecano

    provisional
    Mins
    59
    Proj.
    0.99
    O 1.5
    27%
    Model /90
    1.52
    042%
    131%
    216%
    37%
    42%
    51%
    6+0%
  • Florian Lejeune

    DEF · Rayo Vallecano

    provisional
    Mins
    90
    Proj.
    0.99
    O 1.5
    26%
    Model /90
    1.00
    038%
    135%
    218%
    36%
    42%
    50%
    6+0%
  • Jorge De Frutos Sebastián

    FWD · Rayo Vallecano

    provisional
    Mins
    69
    Proj.
    0.94
    O 1.5
    24%
    Model /90
    1.22
    041%
    134%
    216%
    36%
    42%
    50%
    6+0%
  • Isaac Palazón Camacho

    FWD · Rayo Vallecano

    provisional
    Mins
    67
    Proj.
    0.94
    O 1.5
    25%
    Model /90
    1.25
    043%
    133%
    216%
    36%
    42%
    50%
    6+0%
  • Lamine Yamal Nasraoui Ebana

    FWD · FC Barcelona

    provisional
    Mins
    82
    Proj.
    0.92
    O 1.5
    24%
    Model /90
    1.01
    042%
    135%
    216%
    36%
    42%
    5+0%
  • Randy Ntekja

    MID · Rayo Vallecano

    provisional
    Mins
    41
    Proj.
    0.92
    O 1.5
    24%
    Model /90
    2.00
    047%
    129%
    214%
    36%
    42%
    51%
    6+0%
  • Pablo Martín Paez Gaviria

    MID · FC Barcelona

    provisional
    Mins
    45
    Proj.
    0.91
    O 1.5
    24%
    Model /90
    1.81
    048%
    128%
    214%
    36%
    42%
    51%
    6+0%
  • Nobel Mendy

    DEF · Rayo Vallecano

    provisional
    Mins
    75
    Proj.
    0.91
    O 1.5
    23%
    Model /90
    1.08
    042%
    134%
    216%
    35%
    41%
    5+0%
  • Robert Lewandowski

    FWD · FC Barcelona

    provisional
    Mins
    72
    Proj.
    0.89
    O 1.5
    23%
    Model /90
    1.12
    044%
    133%
    216%
    35%
    42%
    5+0%
  • Unai López Cabrera

    MID · Rayo Vallecano

    provisional
    Mins
    56
    Proj.
    0.88
    O 1.5
    23%
    Model /90
    1.42
    046%
    132%
    215%
    36%
    42%
    50%
    6+0%
  • Josep María Chavarría Pérez

    DEF · Rayo Vallecano

    provisional
    Mins
    79
    Proj.
    0.86
    O 1.5
    22%
    Model /90
    0.98
    045%
    133%
    215%
    35%
    41%
    5+0%
  • Marc Casadó Torras

    MID · FC Barcelona

    provisional
    Mins
    55
    Proj.
    0.85
    O 1.5
    22%
    Model /90
    1.39
    049%
    129%
    214%
    36%
    42%
    51%
    6+0%
  • Álvaro García Rivera

    FWD · Rayo Vallecano

    provisional
    Mins
    69
    Proj.
    0.85
    O 1.5
    21%
    Model /90
    1.11
    046%
    133%
    215%
    35%
    41%
    5+0%
  • Daniel Olmo Carvajal

    MID · FC Barcelona

    provisional
    Mins
    57
    Proj.
    0.83
    O 1.5
    21%
    Model /90
    1.31
    047%
    132%
    214%
    35%
    41%
    5+0%
  • Fermín López Marín

    MID · FC Barcelona

    provisional
    Mins
    53
    Proj.
    0.82
    O 1.5
    20%
    Model /90
    1.40
    048%
    132%
    214%
    35%
    41%
    50%
    6+0%
  • Andrei Florin Ratiu

    DEF · Rayo Vallecano

    provisional
    Mins
    84
    Proj.
    0.82
    O 1.5
    20%
    Model /90
    0.88
    046%
    134%
    214%
    34%
    41%
    5+0%
  • Pedro González López

    MID · FC Barcelona

    provisional
    Mins
    76
    Proj.
    0.80
    O 1.5
    19%
    Model /90
    0.94
    047%
    133%
    214%
    34%
    41%
    5+0%
  • Eric García Martret

    DEF · FC Barcelona

    provisional
    Mins
    68
    Proj.
    0.78
    O 1.5
    19%
    Model /90
    1.03
    049%
    132%
    213%
    34%
    41%
    5+0%
  • Raphael Dias Belloli

    FWD · FC Barcelona

    provisional
    Mins
    73
    Proj.
    0.76
    O 1.5
    18%
    Model /90
    0.94
    048%
    133%
    213%
    34%
    41%
    5+0%

20 of 42 players shown, ranked by projection.

Tackles42 playersHighest: Andrei Florin Ratiu, 1.64 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.

  • Andrei Florin Ratiu

    DEF · Rayo Vallecano

    provisional
    Mins
    84
    Proj.
    1.64
    O 1.5
    48%
    Model /90
    1.76
    022%
    130%
    225%
    314%
    46%
    52%
    6+1%
  • Óscar Valentín Martín Luengo

    MID · Rayo Vallecano

    provisional
    Mins
    59
    Proj.
    1.63
    O 1.5
    46%
    Model /90
    2.49
    026%
    128%
    221%
    313%
    47%
    53%
    6+2%
  • Gerard Martín Langreo

    DEF · FC Barcelona

    provisional
    Mins
    53
    Proj.
    1.57
    O 1.5
    43%
    Model /90
    2.69
    032%
    124%
    218%
    313%
    47%
    53%
    6+2%
  • Pathé Ciss

    MID · Rayo Vallecano

    provisional
    Mins
    67
    Proj.
    1.56
    O 1.5
    45%
    Model /90
    2.09
    026%
    129%
    222%
    313%
    46%
    52%
    6+1%
  • Florian Lejeune

    DEF · Rayo Vallecano

    provisional
    Mins
    90
    Proj.
    1.55
    O 1.5
    46%
    Model /90
    1.55
    021%
    133%
    225%
    313%
    45%
    52%
    6+1%
  • Pedro González López

    MID · FC Barcelona

    provisional
    Mins
    76
    Proj.
    1.52
    O 1.5
    45%
    Model /90
    1.81
    024%
    132%
    224%
    313%
    45%
    52%
    6+1%
  • Josep María Chavarría Pérez

    DEF · Rayo Vallecano

    provisional
    Mins
    79
    Proj.
    1.45
    O 1.5
    42%
    Model /90
    1.65
    027%
    131%
    223%
    312%
    45%
    52%
    6+1%
  • Eric García Martret

    DEF · FC Barcelona

    provisional
    Mins
    68
    Proj.
    1.42
    O 1.5
    41%
    Model /90
    1.88
    029%
    130%
    221%
    312%
    45%
    52%
    6+1%
  • Jules Koundé

    DEF · FC Barcelona

    provisional
    Mins
    78
    Proj.
    1.42
    O 1.5
    41%
    Model /90
    1.62
    027%
    132%
    223%
    312%
    45%
    52%
    6+1%
  • Nobel Mendy

    DEF · Rayo Vallecano

    provisional
    Mins
    75
    Proj.
    1.40
    O 1.5
    41%
    Model /90
    1.68
    026%
    133%
    223%
    311%
    44%
    51%
    6+0%
  • Unai López Cabrera

    MID · Rayo Vallecano

    provisional
    Mins
    56
    Proj.
    1.36
    O 1.5
    39%
    Model /90
    2.20
    031%
    131%
    221%
    311%
    45%
    52%
    6+1%
  • Marc Casadó Torras

    MID · FC Barcelona

    provisional
    Mins
    55
    Proj.
    1.25
    O 1.5
    35%
    Model /90
    2.03
    037%
    128%
    218%
    310%
    44%
    52%
    6+1%
  • Pedro Díaz Fanjul

    MID · Rayo Vallecano

    provisional
    Mins
    52
    Proj.
    1.24
    O 1.5
    34%
    Model /90
    2.17
    035%
    130%
    218%
    310%
    44%
    52%
    6+1%
  • Pau Cubarsí Paredes

    DEF · FC Barcelona

    provisional
    Mins
    81
    Proj.
    1.24
    O 1.5
    35%
    Model /90
    1.38
    030%
    134%
    222%
    39%
    43%
    51%
    6+0%
  • Frenkie de Jong

    MID · FC Barcelona

    provisional
    Mins
    54
    Proj.
    1.19
    O 1.5
    33%
    Model /90
    1.99
    036%
    131%
    218%
    39%
    44%
    51%
    6+1%
  • Pablo Martín Paez Gaviria

    MID · FC Barcelona

    provisional
    Mins
    45
    Proj.
    1.17
    O 1.5
    32%
    Model /90
    2.32
    040%
    127%
    217%
    39%
    44%
    52%
    6+1%
  • Fermín López Marín

    MID · FC Barcelona

    provisional
    Mins
    53
    Proj.
    1.15
    O 1.5
    31%
    Model /90
    1.96
    036%
    133%
    219%
    38%
    43%
    51%
    6+0%
  • Alejandro Balde Martínez

    DEF · FC Barcelona

    provisional
    Mins
    69
    Proj.
    1.10
    O 1.5
    30%
    Model /90
    1.43
    035%
    134%
    219%
    38%
    42%
    51%
    6+0%
  • Daniel Olmo Carvajal

    MID · FC Barcelona

    provisional
    Mins
    57
    Proj.
    1.08
    O 1.5
    29%
    Model /90
    1.72
    037%
    134%
    218%
    38%
    43%
    51%
    6+0%
  • Marc Bernal Casas

    MID · FC Barcelona

    provisional
    Mins
    41
    Proj.
    1.07
    O 1.5
    29%
    Model /90
    2.32
    044%
    128%
    215%
    38%
    44%
    51%
    6+1%

20 of 42 players shown, ranked by projection.

Shots42 playersHighest: Lamine Yamal Nasraoui Ebana, 2.36 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.

  • Lamine Yamal Nasraoui Ebana

    FWD · FC Barcelona

    provisional
    Mins
    82
    Proj.
    2.36
    O 1.5
    63%
    Model /90
    2.60
    014%
    123%
    222%
    317%
    411%
    56%
    6+6%
  • Raphael Dias Belloli

    FWD · FC Barcelona

    provisional
    Mins
    73
    Proj.
    2.06
    O 1.5
    56%
    Model /90
    2.54
    018%
    126%
    222%
    316%
    49%
    55%
    6+4%
  • Robert Lewandowski

    FWD · FC Barcelona

    provisional
    Mins
    72
    Proj.
    1.92
    O 1.5
    53%
    Model /90
    2.41
    021%
    126%
    222%
    315%
    48%
    54%
    6+3%
  • Ferrán Torres García

    FWD · FC Barcelona

    provisional
    Mins
    51
    Proj.
    1.48
    O 1.5
    40%
    Model /90
    2.60
    032%
    129%
    219%
    311%
    46%
    53%
    6+2%
  • Isaac Palazón Camacho

    FWD · Rayo Vallecano

    provisional
    Mins
    67
    Proj.
    1.13
    O 1.5
    31%
    Model /90
    1.52
    038%
    131%
    218%
    38%
    43%
    51%
    6+1%
  • Jorge De Frutos Sebastián

    FWD · Rayo Vallecano

    provisional
    Mins
    69
    Proj.
    1.11
    O 1.5
    30%
    Model /90
    1.44
    037%
    133%
    218%
    38%
    43%
    51%
    6+0%
  • Álvaro García Rivera

    FWD · Rayo Vallecano

    provisional
    Mins
    69
    Proj.
    1.11
    O 1.5
    30%
    Model /90
    1.45
    038%
    132%
    218%
    38%
    43%
    51%
    6+0%
  • Daniel Olmo Carvajal

    MID · FC Barcelona

    provisional
    Mins
    57
    Proj.
    1.00
    O 1.5
    26%
    Model /90
    1.59
    042%
    132%
    216%
    37%
    42%
    51%
    6+0%
  • Fermín López Marín

    MID · FC Barcelona

    provisional
    Mins
    53
    Proj.
    0.95
    O 1.5
    25%
    Model /90
    1.62
    044%
    131%
    215%
    36%
    42%
    51%
    6+0%
  • Roony Bardghji

    FWD · FC Barcelona

    provisional
    Mins
    31
    Proj.
    0.94
    O 1.5
    23%
    Model /90
    2.77
    048%
    128%
    213%
    36%
    43%
    51%
    6+1%
  • Pedro González López

    MID · FC Barcelona

    provisional
    Mins
    76
    Proj.
    0.90
    O 1.5
    23%
    Model /90
    1.07
    044%
    133%
    215%
    36%
    42%
    50%
    6+0%
  • Marc Casadó Torras

    MID · FC Barcelona

    provisional
    Mins
    55
    Proj.
    0.85
    O 1.5
    22%
    Model /90
    1.38
    050%
    128%
    213%
    36%
    42%
    51%
    6+0%
  • Sergio Camello Pérez

    FWD · Rayo Vallecano

    provisional
    Mins
    43
    Proj.
    0.83
    O 1.5
    21%
    Model /90
    1.71
    050%
    130%
    213%
    35%
    42%
    51%
    6+0%
  • Alexandre Zurawski

    FWD · Rayo Vallecano

    provisional
    Mins
    44
    Proj.
    0.81
    O 1.5
    20%
    Model /90
    1.67
    052%
    128%
    212%
    35%
    42%
    51%
    6+0%
  • Pablo Martín Paez Gaviria

    MID · FC Barcelona

    provisional
    Mins
    45
    Proj.
    0.77
    O 1.5
    19%
    Model /90
    1.53
    054%
    127%
    212%
    35%
    42%
    51%
    6+0%
  • Francisco Perez Martinez

    FWD · Rayo Vallecano

    provisional
    Mins
    43
    Proj.
    0.74
    O 1.5
    18%
    Model /90
    1.55
    052%
    130%
    212%
    34%
    41%
    50%
    6+0%
  • Unai López Cabrera

    MID · Rayo Vallecano

    provisional
    Mins
    56
    Proj.
    0.65
    O 1.5
    15%
    Model /90
    1.06
    056%
    129%
    211%
    33%
    41%
    5+0%
  • Frenkie de Jong

    MID · FC Barcelona

    provisional
    Mins
    54
    Proj.
    0.64
    O 1.5
    15%
    Model /90
    1.07
    057%
    128%
    210%
    33%
    41%
    5+0%
  • Pedro Díaz Fanjul

    MID · Rayo Vallecano

    provisional
    Mins
    52
    Proj.
    0.58
    O 1.5
    13%
    Model /90
    1.01
    060%
    127%
    29%
    33%
    41%
    5+0%
  • Marc Bernal Casas

    MID · FC Barcelona

    provisional
    Mins
    41
    Proj.
    0.58
    O 1.5
    13%
    Model /90
    1.25
    062%
    125%
    29%
    33%
    41%
    5+0%

20 of 42 players shown, ranked by projection.

Shots on target42 playersHighest: Lamine Yamal Nasraoui Ebana, 0.78 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.

  • Lamine Yamal Nasraoui Ebana

    FWD · FC Barcelona

    provisional
    Mins
    82
    Proj.
    0.78
    O 0.5
    52%
    Model /90
    0.86
    048%
    133%
    213%
    34%
    41%
    5+0%
  • Robert Lewandowski

    FWD · FC Barcelona

    provisional
    Mins
    72
    Proj.
    0.78
    O 0.5
    51%
    Model /90
    0.98
    049%
    132%
    213%
    34%
    41%
    5+0%
  • Raphael Dias Belloli

    FWD · FC Barcelona

    provisional
    Mins
    73
    Proj.
    0.77
    O 0.5
    51%
    Model /90
    0.95
    049%
    132%
    213%
    34%
    41%
    5+0%
  • Ferrán Torres García

    FWD · FC Barcelona

    provisional
    Mins
    51
    Proj.
    0.70
    O 0.5
    46%
    Model /90
    1.23
    054%
    129%
    211%
    34%
    41%
    5+0%
  • Jorge De Frutos Sebastián

    FWD · Rayo Vallecano

    provisional
    Mins
    69
    Proj.
    0.44
    O 0.5
    35%
    Model /90
    0.58
    065%
    127%
    27%
    31%
    4+0%
  • Álvaro García Rivera

    FWD · Rayo Vallecano

    provisional
    Mins
    69
    Proj.
    0.42
    O 0.5
    33%
    Model /90
    0.55
    067%
    125%
    26%
    31%
    4+0%
  • Roony Bardghji

    FWD · FC Barcelona

    provisional
    Mins
    31
    Proj.
    0.41
    O 0.5
    30%
    Model /90
    1.21
    070%
    122%
    26%
    32%
    40%
    5+0%
  • Isaac Palazón Camacho

    FWD · Rayo Vallecano

    provisional
    Mins
    67
    Proj.
    0.37
    O 0.5
    30%
    Model /90
    0.49
    070%
    123%
    25%
    31%
    4+0%
  • Pedro González López

    MID · FC Barcelona

    provisional
    Mins
    76
    Proj.
    0.35
    O 0.5
    29%
    Model /90
    0.42
    071%
    123%
    25%
    31%
    4+0%
  • Fermín López Marín

    MID · FC Barcelona

    provisional
    Mins
    53
    Proj.
    0.35
    O 0.5
    28%
    Model /90
    0.59
    072%
    122%
    25%
    31%
    4+0%
  • Alexandre Zurawski

    FWD · Rayo Vallecano

    provisional
    Mins
    44
    Proj.
    0.33
    O 0.5
    26%
    Model /90
    0.69
    074%
    121%
    25%
    31%
    4+0%
  • Daniel Olmo Carvajal

    MID · FC Barcelona

    provisional
    Mins
    57
    Proj.
    0.33
    O 0.5
    27%
    Model /90
    0.53
    073%
    122%
    24%
    31%
    4+0%
  • Sergio Camello Pérez

    FWD · Rayo Vallecano

    provisional
    Mins
    43
    Proj.
    0.32
    O 0.5
    26%
    Model /90
    0.66
    074%
    121%
    24%
    31%
    4+0%
  • Francisco Perez Martinez

    FWD · Rayo Vallecano

    provisional
    Mins
    43
    Proj.
    0.30
    O 0.5
    25%
    Model /90
    0.63
    075%
    120%
    24%
    31%
    4+0%
  • Frenkie de Jong

    MID · FC Barcelona

    provisional
    Mins
    54
    Proj.
    0.21
    O 0.5
    18%
    Model /90
    0.35
    082%
    116%
    22%
    3+0%
  • Unai López Cabrera

    MID · Rayo Vallecano

    provisional
    Mins
    56
    Proj.
    0.20
    O 0.5
    18%
    Model /90
    0.33
    082%
    116%
    22%
    3+0%
  • Pablo Martín Paez Gaviria

    MID · FC Barcelona

    provisional
    Mins
    45
    Proj.
    0.20
    O 0.5
    17%
    Model /90
    0.40
    083%
    115%
    22%
    3+0%
  • Marc Bernal Casas

    MID · FC Barcelona

    provisional
    Mins
    41
    Proj.
    0.18
    O 0.5
    16%
    Model /90
    0.39
    084%
    113%
    22%
    3+0%
  • Pathé Ciss

    MID · Rayo Vallecano

    provisional
    Mins
    67
    Proj.
    0.18
    O 0.5
    16%
    Model /90
    0.24
    084%
    114%
    22%
    3+0%
  • Randy Ntekja

    MID · Rayo Vallecano

    provisional
    Mins
    41
    Proj.
    0.18
    O 0.5
    15%
    Model /90
    0.38
    085%
    114%
    22%
    3+0%

20 of 42 players shown, ranked by projection.

Fouls won42 playersHighest: Lamine Yamal Nasraoui Ebana, 1.58 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.

  • Lamine Yamal Nasraoui Ebana

    FWD · FC Barcelona

    provisional
    Mins
    82
    Proj.
    1.58
    O 1.5
    45%
    Model /90
    1.74
    025%
    130%
    222%
    312%
    46%
    53%
    6+2%
  • Robert Lewandowski

    FWD · FC Barcelona

    provisional
    Mins
    72
    Proj.
    1.30
    O 1.5
    36%
    Model /90
    1.63
    033%
    131%
    220%
    310%
    44%
    52%
    6+1%
  • Isaac Palazón Camacho

    FWD · Rayo Vallecano

    provisional
    Mins
    67
    Proj.
    1.23
    O 1.5
    34%
    Model /90
    1.64
    036%
    131%
    219%
    39%
    44%
    51%
    6+1%
  • Pedro González López

    MID · FC Barcelona

    provisional
    Mins
    76
    Proj.
    1.21
    O 1.5
    33%
    Model /90
    1.44
    034%
    132%
    219%
    39%
    44%
    51%
    6+1%
  • Raphael Dias Belloli

    FWD · FC Barcelona

    provisional
    Mins
    73
    Proj.
    1.18
    O 1.5
    32%
    Model /90
    1.46
    035%
    133%
    219%
    39%
    43%
    51%
    6+1%
  • Pablo Martín Paez Gaviria

    MID · FC Barcelona

    provisional
    Mins
    45
    Proj.
    1.11
    O 1.5
    30%
    Model /90
    2.22
    044%
    126%
    215%
    38%
    44%
    52%
    6+1%
  • Marc Casadó Torras

    MID · FC Barcelona

    provisional
    Mins
    55
    Proj.
    1.10
    O 1.5
    30%
    Model /90
    1.80
    042%
    128%
    216%
    38%
    44%
    51%
    6+1%
  • Daniel Olmo Carvajal

    MID · FC Barcelona

    provisional
    Mins
    57
    Proj.
    1.10
    O 1.5
    30%
    Model /90
    1.75
    039%
    132%
    217%
    38%
    43%
    51%
    6+1%
  • Jorge De Frutos Sebastián

    FWD · Rayo Vallecano

    provisional
    Mins
    69
    Proj.
    1.00
    O 1.5
    26%
    Model /90
    1.29
    040%
    133%
    217%
    37%
    42%
    51%
    6+0%
  • Fermín López Marín

    MID · FC Barcelona

    provisional
    Mins
    53
    Proj.
    0.91
    O 1.5
    23%
    Model /90
    1.55
    046%
    131%
    214%
    36%
    42%
    51%
    6+0%
  • Ferrán Torres García

    FWD · FC Barcelona

    provisional
    Mins
    51
    Proj.
    0.87
    O 1.5
    22%
    Model /90
    1.54
    047%
    130%
    214%
    36%
    42%
    51%
    6+0%
  • Frenkie de Jong

    MID · FC Barcelona

    provisional
    Mins
    54
    Proj.
    0.87
    O 1.5
    22%
    Model /90
    1.44
    048%
    130%
    213%
    35%
    42%
    51%
    6+0%
  • Alexandre Zurawski

    FWD · Rayo Vallecano

    provisional
    Mins
    44
    Proj.
    0.84
    O 1.5
    21%
    Model /90
    1.73
    051%
    128%
    212%
    35%
    42%
    51%
    6+0%
  • Álvaro García Rivera

    FWD · Rayo Vallecano

    provisional
    Mins
    69
    Proj.
    0.84
    O 1.5
    21%
    Model /90
    1.09
    047%
    132%
    214%
    35%
    42%
    50%
    6+0%
  • Pathé Ciss

    MID · Rayo Vallecano

    provisional
    Mins
    67
    Proj.
    0.75
    O 1.5
    18%
    Model /90
    1.00
    051%
    130%
    212%
    34%
    41%
    5+0%
  • Jules Koundé

    DEF · FC Barcelona

    provisional
    Mins
    78
    Proj.
    0.74
    O 1.5
    18%
    Model /90
    0.85
    051%
    131%
    213%
    34%
    41%
    5+0%
  • Alejandro Balde Martínez

    DEF · FC Barcelona

    provisional
    Mins
    69
    Proj.
    0.74
    O 1.5
    18%
    Model /90
    0.96
    051%
    131%
    212%
    34%
    41%
    5+0%
  • Óscar Valentín Martín Luengo

    MID · Rayo Vallecano

    provisional
    Mins
    59
    Proj.
    0.74
    O 1.5
    18%
    Model /90
    1.13
    052%
    130%
    212%
    34%
    41%
    50%
    6+0%
  • Roony Bardghji

    FWD · FC Barcelona

    provisional
    Mins
    31
    Proj.
    0.73
    O 1.5
    17%
    Model /90
    2.14
    056%
    127%
    211%
    34%
    42%
    51%
    6+0%
  • Francisco Perez Martinez

    FWD · Rayo Vallecano

    provisional
    Mins
    43
    Proj.
    0.71
    O 1.5
    17%
    Model /90
    1.49
    053%
    130%
    211%
    34%
    41%
    50%
    6+0%

20 of 42 players shown, ranked by projection.

Cards42 playersHighest: Pathé Ciss, 0.20 expectedshow

Known defect Prices ANY card — yellow or straight red — matching how books settle "to be shown a card" (D-048). The trends column alongside counts yellows only.

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.

  • Pathé Ciss

    MID · Rayo Vallecano

    provisional
    Mins
    67
    Proj.
    0.20
    O 0.5
    18%
    Model /90
    0.27
    082%
    116%
    22%
    3+0%
  • Nobel Mendy

    DEF · Rayo Vallecano

    provisional
    Mins
    75
    Proj.
    0.17
    O 0.5
    16%
    Model /90
    0.20
    084%
    114%
    2+1%
  • Florian Lejeune

    DEF · Rayo Vallecano

    provisional
    Mins
    90
    Proj.
    0.16
    O 0.5
    15%
    Model /90
    0.16
    085%
    113%
    2+1%
  • Andrei Florin Ratiu

    DEF · Rayo Vallecano

    provisional
    Mins
    84
    Proj.
    0.16
    O 0.5
    14%
    Model /90
    0.17
    086%
    113%
    2+1%
  • Unai López Cabrera

    MID · Rayo Vallecano

    provisional
    Mins
    56
    Proj.
    0.15
    O 0.5
    13%
    Model /90
    0.24
    087%
    112%
    2+1%
  • Isaac Palazón Camacho

    FWD · Rayo Vallecano

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

    MID · Rayo Vallecano

    provisional
    Mins
    41
    Proj.
    0.14
    O 0.5
    12%
    Model /90
    0.30
    088%
    111%
    2+1%
  • Eric García Martret

    DEF · FC Barcelona

    provisional
    Mins
    68
    Proj.
    0.13
    O 0.5
    12%
    Model /90
    0.17
    088%
    111%
    2+1%
  • Pablo Martín Paez Gaviria

    MID · FC Barcelona

    provisional
    Mins
    45
    Proj.
    0.13
    O 0.5
    12%
    Model /90
    0.26
    088%
    111%
    2+1%
  • Josep María Chavarría Pérez

    DEF · Rayo Vallecano

    provisional
    Mins
    79
    Proj.
    0.13
    O 0.5
    12%
    Model /90
    0.15
    088%
    111%
    2+1%
  • Jules Koundé

    DEF · FC Barcelona

    provisional
    Mins
    78
    Proj.
    0.13
    O 0.5
    12%
    Model /90
    0.15
    088%
    111%
    2+1%
  • Óscar Valentín Martín Luengo

    MID · Rayo Vallecano

    provisional
    Mins
    59
    Proj.
    0.12
    O 0.5
    12%
    Model /90
    0.19
    088%
    111%
    2+1%
  • Raphael Dias Belloli

    FWD · FC Barcelona

    provisional
    Mins
    73
    Proj.
    0.12
    O 0.5
    11%
    Model /90
    0.15
    089%
    111%
    2+1%
  • Pedro González López

    MID · FC Barcelona

    provisional
    Mins
    76
    Proj.
    0.12
    O 0.5
    11%
    Model /90
    0.14
    089%
    111%
    2+1%
  • Frenkie de Jong

    MID · FC Barcelona

    provisional
    Mins
    54
    Proj.
    0.12
    O 0.5
    11%
    Model /90
    0.20
    089%
    110%
    2+1%
  • Álvaro García Rivera

    FWD · Rayo Vallecano

    provisional
    Mins
    69
    Proj.
    0.11
    O 0.5
    11%
    Model /90
    0.15
    089%
    110%
    2+1%
  • Marc Casadó Torras

    MID · FC Barcelona

    provisional
    Mins
    55
    Proj.
    0.11
    O 0.5
    11%
    Model /90
    0.18
    089%
    110%
    2+1%
  • Gerard Martín Langreo

    DEF · FC Barcelona

    provisional
    Mins
    53
    Proj.
    0.11
    O 0.5
    10%
    Model /90
    0.19
    090%
    110%
    2+1%
  • Pau Cubarsí Paredes

    DEF · FC Barcelona

    provisional
    Mins
    81
    Proj.
    0.11
    O 0.5
    11%
    Model /90
    0.12
    089%
    110%
    2+1%
  • Fermín López Marín

    MID · FC Barcelona

    provisional
    Mins
    53
    Proj.
    0.11
    O 0.5
    10%
    Model /90
    0.19
    090%
    110%
    2+1%

20 of 42 players shown, ranked by projection.

Saves42 playersHighest: Daniel Cárdenas Lindez, 3.35 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.

20 of 42 players shown, ranked by projection.