PER90My betsAccount

La Liga · Spain

EspanyolvReal Madrid

RCDE 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 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

Fouls38 playersHighest: Pol Lozano Vizuete, 1.43 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.

  • Pol Lozano Vizuete

    MID · Espanyol

    provisional
    Mins
    66
    Proj.
    1.43
    O 1.5
    41%
    Model /90
    1.96
    029%
    130%
    222%
    312%
    45%
    52%
    6+1%
  • Javier Puado Díaz

    FWD · Espanyol

    provisional
    Mins
    81
    Proj.
    1.11
    O 1.5
    31%
    Model /90
    1.23
    035%
    134%
    219%
    38%
    43%
    51%
    6+0%
  • provisional
    Mins
    77
    Proj.
    1.09
    O 1.5
    30%
    Model /90
    1.28
    037%
    133%
    218%
    38%
    43%
    51%
    6+0%
  • provisional
    Mins
    65
    Proj.
    1.07
    O 1.5
    29%
    Model /90
    1.48
    038%
    132%
    218%
    38%
    43%
    51%
    6+0%
  • Aurélien Tchouaméni

    MID · Real Madrid

    provisional
    Mins
    82
    Proj.
    1.06
    O 1.5
    29%
    Model /90
    1.17
    037%
    134%
    218%
    37%
    42%
    51%
    6+0%
  • Jude Bellingham

    MID · Real Madrid

    provisional
    Mins
    75
    Proj.
    1.05
    O 1.5
    28%
    Model /90
    1.26
    038%
    133%
    218%
    37%
    42%
    51%
    6+0%
  • provisional
    Mins
    77
    Proj.
    1.03
    O 1.5
    28%
    Model /90
    1.20
    039%
    134%
    218%
    37%
    42%
    51%
    6+0%
  • provisional
    Mins
    68
    Proj.
    1.01
    O 1.5
    27%
    Model /90
    1.33
    040%
    133%
    217%
    37%
    42%
    51%
    6+0%
  • Omar El Hilali

    DEF · Espanyol

    provisional
    Mins
    83
    Proj.
    1.00
    O 1.5
    27%
    Model /90
    1.08
    039%
    134%
    217%
    37%
    42%
    50%
    6+0%
  • Thiago Pitarch Pinar

    MID · Real Madrid

    provisional
    Mins
    60
    Proj.
    0.99
    O 1.5
    26%
    Model /90
    1.49
    041%
    133%
    217%
    37%
    42%
    51%
    6+0%
  • Eduardo Camavinga

    MID · Real Madrid

    provisional
    Mins
    55
    Proj.
    0.98
    O 1.5
    26%
    Model /90
    1.62
    044%
    130%
    215%
    37%
    43%
    51%
    6+0%
  • José Gragera Amado

    MID · Espanyol

    provisional
    Mins
    57
    Proj.
    0.97
    O 1.5
    26%
    Model /90
    1.54
    042%
    132%
    216%
    36%
    42%
    51%
    6+0%
  • provisional
    Mins
    84
    Proj.
    0.96
    O 1.5
    25%
    Model /90
    1.03
    040%
    135%
    217%
    36%
    42%
    50%
    6+0%
  • Kylian Mbappé Lottin

    FWD · Real Madrid

    provisional
    Mins
    85
    Proj.
    0.95
    O 1.5
    25%
    Model /90
    1.01
    040%
    135%
    217%
    36%
    42%
    50%
    6+0%
  • Tyrhys Dolan

    FWD · Espanyol

    provisional
    Mins
    68
    Proj.
    0.95
    O 1.5
    25%
    Model /90
    1.27
    041%
    134%
    216%
    36%
    42%
    50%
    6+0%
  • Daniel Ceballos Fernández

    MID · Real Madrid

    provisional
    Mins
    50
    Proj.
    0.92
    O 1.5
    24%
    Model /90
    1.66
    048%
    127%
    214%
    37%
    43%
    51%
    6+0%
  • provisional
    Mins
    89
    Proj.
    0.89
    O 1.5
    23%
    Model /90
    0.91
    042%
    135%
    216%
    35%
    41%
    5+0%
  • Álvaro Carreras

    DEF · Real Madrid

    provisional
    Mins
    83
    Proj.
    0.89
    O 1.5
    23%
    Model /90
    0.97
    044%
    133%
    216%
    35%
    42%
    5+0%
  • Clemens Riedel

    DEF · Espanyol

    provisional
    Mins
    70
    Proj.
    0.89
    O 1.5
    23%
    Model /90
    1.15
    045%
    132%
    215%
    36%
    42%
    50%
    6+0%
  • Éder Gabriel Militão

    DEF · Real Madrid

    provisional
    Mins
    74
    Proj.
    0.88
    O 1.5
    22%
    Model /90
    1.06
    043%
    134%
    215%
    35%
    41%
    5+0%

20 of 38 players shown, ranked by projection.

Tackles38 playersHighest: Jude Bellingham, 2.35 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.

  • Jude Bellingham

    MID · Real Madrid

    provisional
    Mins
    75
    Proj.
    2.35
    O 1.5
    65%
    Model /90
    2.83
    013%
    121%
    223%
    319%
    412%
    56%
    6+5%
  • Álvaro Carreras

    DEF · Real Madrid

    provisional
    Mins
    83
    Proj.
    1.85
    O 1.5
    55%
    Model /90
    2.00
    020%
    126%
    225%
    317%
    48%
    53%
    6+2%
  • Omar El Hilali

    DEF · Espanyol

    provisional
    Mins
    83
    Proj.
    1.82
    O 1.5
    54%
    Model /90
    1.98
    018%
    128%
    225%
    316%
    48%
    53%
    6+1%
  • provisional
    Mins
    77
    Proj.
    1.73
    O 1.5
    50%
    Model /90
    2.03
    022%
    128%
    224%
    315%
    47%
    53%
    6+1%
  • Aurélien Tchouaméni

    MID · Real Madrid

    provisional
    Mins
    82
    Proj.
    1.55
    O 1.5
    46%
    Model /90
    1.70
    023%
    131%
    225%
    313%
    45%
    52%
    6+1%
  • Raúl Asencio del Rosario

    DEF · Real Madrid

    provisional
    Mins
    73
    Proj.
    1.51
    O 1.5
    44%
    Model /90
    1.85
    025%
    131%
    223%
    313%
    45%
    52%
    6+1%
  • Eduardo Camavinga

    MID · Real Madrid

    provisional
    Mins
    55
    Proj.
    1.51
    O 1.5
    42%
    Model /90
    2.48
    030%
    128%
    219%
    312%
    46%
    53%
    6+2%
  • provisional
    Mins
    65
    Proj.
    1.44
    O 1.5
    41%
    Model /90
    1.98
    028%
    131%
    222%
    312%
    45%
    52%
    6+1%
  • Pol Lozano Vizuete

    MID · Espanyol

    provisional
    Mins
    66
    Proj.
    1.41
    O 1.5
    41%
    Model /90
    1.93
    028%
    131%
    223%
    312%
    45%
    51%
    6+1%
  • provisional
    Mins
    84
    Proj.
    1.39
    O 1.5
    40%
    Model /90
    1.49
    026%
    134%
    223%
    311%
    44%
    51%
    6+0%
  • José Gragera Amado

    MID · Espanyol

    provisional
    Mins
    57
    Proj.
    1.38
    O 1.5
    39%
    Model /90
    2.19
    029%
    131%
    221%
    311%
    45%
    52%
    6+1%
  • provisional
    Mins
    89
    Proj.
    1.33
    O 1.5
    38%
    Model /90
    1.35
    027%
    135%
    223%
    310%
    44%
    51%
    6+0%
  • Clemens Riedel

    DEF · Espanyol

    provisional
    Mins
    70
    Proj.
    1.32
    O 1.5
    38%
    Model /90
    1.70
    031%
    131%
    221%
    311%
    44%
    51%
    6+0%
  • Éder Gabriel Militão

    DEF · Real Madrid

    provisional
    Mins
    74
    Proj.
    1.29
    O 1.5
    37%
    Model /90
    1.56
    029%
    134%
    222%
    310%
    43%
    51%
    6+0%
  • Arda Guler

    MID · Real Madrid

    provisional
    Mins
    54
    Proj.
    1.29
    O 1.5
    36%
    Model /90
    2.14
    034%
    130%
    219%
    310%
    44%
    52%
    6+1%
  • Thiago Pitarch Pinar

    MID · Real Madrid

    provisional
    Mins
    60
    Proj.
    1.27
    O 1.5
    36%
    Model /90
    1.92
    032%
    132%
    221%
    310%
    44%
    51%
    6+0%
  • Dean Donny Huijsen

    DEF · Real Madrid

    provisional
    Mins
    73
    Proj.
    1.20
    O 1.5
    34%
    Model /90
    1.48
    032%
    134%
    221%
    39%
    43%
    51%
    6+0%
  • Daniel Ceballos Fernández

    MID · Real Madrid

    provisional
    Mins
    50
    Proj.
    1.18
    O 1.5
    33%
    Model /90
    2.13
    040%
    127%
    217%
    39%
    44%
    52%
    6+1%
  • Antonio Rüdiger

    DEF · Real Madrid

    provisional
    Mins
    81
    Proj.
    1.13
    O 1.5
    31%
    Model /90
    1.26
    034%
    135%
    220%
    38%
    42%
    51%
    6+0%
  • Ferland Mendy

    DEF · Real Madrid

    provisional
    Mins
    64
    Proj.
    1.09
    O 1.5
    30%
    Model /90
    1.54
    038%
    131%
    219%
    38%
    43%
    51%
    6+0%

20 of 38 players shown, ranked by projection.

Shots38 playersHighest: Kylian Mbappé Lottin, 2.25 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.

  • Kylian Mbappé Lottin

    FWD · Real Madrid

    provisional
    Mins
    85
    Proj.
    2.25
    O 1.5
    61%
    Model /90
    2.39
    015%
    124%
    223%
    317%
    411%
    56%
    6+5%
  • provisional
    Mins
    77
    Proj.
    1.80
    O 1.5
    50%
    Model /90
    2.10
    022%
    128%
    222%
    314%
    48%
    54%
    6+3%
  • Javier Puado Díaz

    FWD · Espanyol

    provisional
    Mins
    81
    Proj.
    1.75
    O 1.5
    50%
    Model /90
    1.94
    023%
    128%
    223%
    314%
    47%
    53%
    6+2%
  • provisional
    Mins
    68
    Proj.
    1.52
    O 1.5
    42%
    Model /90
    2.01
    028%
    130%
    221%
    312%
    46%
    53%
    6+2%
  • Tyrhys Dolan

    FWD · Espanyol

    provisional
    Mins
    68
    Proj.
    1.45
    O 1.5
    41%
    Model /90
    1.94
    028%
    131%
    221%
    311%
    45%
    52%
    6+1%
  • Pere Milla Peña

    FWD · Espanyol

    provisional
    Mins
    46
    Proj.
    1.31
    O 1.5
    34%
    Model /90
    2.57
    037%
    129%
    217%
    39%
    45%
    52%
    6+2%
  • Rodrygo Silva de Goes

    FWD · Real Madrid

    provisional
    Mins
    53
    Proj.
    1.31
    O 1.5
    35%
    Model /90
    2.21
    036%
    129%
    217%
    39%
    45%
    52%
    6+1%
  • provisional
    Mins
    47
    Proj.
    1.19
    O 1.5
    31%
    Model /90
    2.30
    040%
    129%
    216%
    38%
    44%
    52%
    6+1%
  • Jofre Carreras Pagès

    FWD · Espanyol

    provisional
    Mins
    49
    Proj.
    1.13
    O 1.5
    30%
    Model /90
    2.07
    040%
    130%
    216%
    38%
    44%
    51%
    6+1%
  • Brahim Abdelkader Diaz

    FWD · Real Madrid

    provisional
    Mins
    43
    Proj.
    1.03
    O 1.5
    27%
    Model /90
    2.14
    044%
    129%
    215%
    37%
    43%
    51%
    6+1%
  • Jude Bellingham

    MID · Real Madrid

    provisional
    Mins
    75
    Proj.
    1.01
    O 1.5
    27%
    Model /90
    1.21
    041%
    132%
    217%
    37%
    42%
    51%
    6+0%
  • provisional
    Mins
    84
    Proj.
    1.00
    O 1.5
    26%
    Model /90
    1.07
    040%
    134%
    217%
    36%
    42%
    51%
    6+0%
  • Aurélien Tchouaméni

    MID · Real Madrid

    provisional
    Mins
    82
    Proj.
    0.88
    O 1.5
    22%
    Model /90
    0.97
    044%
    133%
    215%
    35%
    42%
    50%
    6+0%
  • Antoniu Roca Vives

    FWD · Espanyol

    provisional
    Mins
    34
    Proj.
    0.85
    O 1.5
    21%
    Model /90
    2.25
    051%
    128%
    212%
    35%
    42%
    51%
    6+0%
  • provisional
    Mins
    65
    Proj.
    0.83
    O 1.5
    21%
    Model /90
    1.14
    048%
    132%
    214%
    35%
    41%
    50%
    6+0%
  • provisional
    Mins
    77
    Proj.
    0.79
    O 1.5
    20%
    Model /90
    0.93
    049%
    132%
    214%
    35%
    41%
    5+0%
  • Arda Guler

    MID · Real Madrid

    provisional
    Mins
    54
    Proj.
    0.77
    O 1.5
    19%
    Model /90
    1.28
    052%
    129%
    213%
    35%
    41%
    50%
    6+0%
  • Thiago Pitarch Pinar

    MID · Real Madrid

    provisional
    Mins
    60
    Proj.
    0.70
    O 1.5
    17%
    Model /90
    1.06
    053%
    131%
    212%
    34%
    41%
    5+0%
  • José Gragera Amado

    MID · Espanyol

    provisional
    Mins
    57
    Proj.
    0.69
    O 1.5
    16%
    Model /90
    1.10
    053%
    130%
    212%
    34%
    41%
    5+0%
  • Pol Lozano Vizuete

    MID · Espanyol

    provisional
    Mins
    66
    Proj.
    0.68
    O 1.5
    16%
    Model /90
    0.93
    054%
    131%
    211%
    33%
    41%
    5+0%

20 of 38 players shown, ranked by projection.

Shots on target38 playersHighest: Kylian Mbappé Lottin, 1.06 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.

20 of 38 players shown, ranked by projection.

Fouls won38 playersHighest: Vinícius José Paixão de Oliveira Júnior, 1.64 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
    77
    Proj.
    1.64
    O 1.5
    46%
    Model /90
    1.92
    025%
    129%
    222%
    313%
    46%
    53%
    6+2%
  • Kylian Mbappé Lottin

    FWD · Real Madrid

    provisional
    Mins
    85
    Proj.
    1.34
    O 1.5
    38%
    Model /90
    1.42
    030%
    132%
    221%
    310%
    44%
    52%
    6+1%
  • Jude Bellingham

    MID · Real Madrid

    provisional
    Mins
    75
    Proj.
    1.27
    O 1.5
    35%
    Model /90
    1.53
    033%
    131%
    219%
    310%
    44%
    51%
    6+1%
  • Eduardo Camavinga

    MID · Real Madrid

    provisional
    Mins
    55
    Proj.
    1.24
    O 1.5
    33%
    Model /90
    2.05
    038%
    129%
    217%
    39%
    44%
    52%
    6+1%
  • Tyrhys Dolan

    FWD · Espanyol

    provisional
    Mins
    68
    Proj.
    1.11
    O 1.5
    30%
    Model /90
    1.47
    037%
    133%
    218%
    38%
    43%
    51%
    6+0%
  • Javier Puado Díaz

    FWD · Espanyol

    provisional
    Mins
    81
    Proj.
    1.10
    O 1.5
    30%
    Model /90
    1.21
    037%
    133%
    218%
    38%
    43%
    51%
    6+0%
  • provisional
    Mins
    68
    Proj.
    1.09
    O 1.5
    29%
    Model /90
    1.43
    039%
    132%
    217%
    38%
    43%
    51%
    6+0%
  • Rodrygo Silva de Goes

    FWD · Real Madrid

    provisional
    Mins
    53
    Proj.
    1.04
    O 1.5
    28%
    Model /90
    1.76
    043%
    130%
    216%
    37%
    43%
    51%
    6+1%
  • Jofre Carreras Pagès

    FWD · Espanyol

    provisional
    Mins
    49
    Proj.
    1.02
    O 1.5
    27%
    Model /90
    1.86
    044%
    130%
    215%
    37%
    43%
    51%
    6+1%
  • provisional
    Mins
    77
    Proj.
    0.99
    O 1.5
    26%
    Model /90
    1.16
    042%
    132%
    216%
    37%
    42%
    51%
    6+0%
  • Aurélien Tchouaméni

    MID · Real Madrid

    provisional
    Mins
    82
    Proj.
    0.99
    O 1.5
    26%
    Model /90
    1.09
    041%
    133%
    217%
    36%
    42%
    51%
    6+0%
  • Brahim Abdelkader Diaz

    FWD · Real Madrid

    provisional
    Mins
    43
    Proj.
    0.97
    O 1.5
    25%
    Model /90
    2.02
    046%
    129%
    214%
    36%
    43%
    51%
    6+1%
  • provisional
    Mins
    47
    Proj.
    0.91
    O 1.5
    23%
    Model /90
    1.76
    048%
    129%
    213%
    36%
    42%
    51%
    6+0%
  • Arda Guler

    MID · Real Madrid

    provisional
    Mins
    54
    Proj.
    0.90
    O 1.5
    23%
    Model /90
    1.50
    047%
    130%
    214%
    36%
    42%
    51%
    6+0%
  • provisional
    Mins
    65
    Proj.
    0.89
    O 1.5
    23%
    Model /90
    1.23
    045%
    132%
    215%
    36%
    42%
    51%
    6+0%
  • provisional
    Mins
    84
    Proj.
    0.89
    O 1.5
    23%
    Model /90
    0.96
    044%
    133%
    215%
    35%
    42%
    50%
    6+0%
  • Thiago Pitarch Pinar

    MID · Real Madrid

    provisional
    Mins
    60
    Proj.
    0.87
    O 1.5
    22%
    Model /90
    1.31
    046%
    131%
    215%
    35%
    42%
    50%
    6+0%
  • Pere Milla Peña

    FWD · Espanyol

    provisional
    Mins
    46
    Proj.
    0.85
    O 1.5
    21%
    Model /90
    1.66
    049%
    129%
    213%
    35%
    42%
    51%
    6+0%
  • Daniel Ceballos Fernández

    MID · Real Madrid

    provisional
    Mins
    50
    Proj.
    0.82
    O 1.5
    21%
    Model /90
    1.48
    052%
    127%
    212%
    35%
    42%
    51%
    6+0%
  • José Gragera Amado

    MID · Espanyol

    provisional
    Mins
    57
    Proj.
    0.79
    O 1.5
    20%
    Model /90
    1.25
    050%
    131%
    213%
    35%
    41%
    50%
    6+0%

20 of 38 players shown, ranked by projection.

Cards38 playersHighest: Pol Lozano Vizuete, 0.23 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.

20 of 38 players shown, ranked by projection.

Saves38 playersHighest: Marko Dmitrović, 2.96 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 38 players shown, ranked by projection.