PER90

La Liga · Spain

VillarrealvDeportivo A Coruña

Estadio de la Cerámicalineups not announced

Referee

Not appointed

0 matches on record

Fouls per game

League average

23.2

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 v20260816-1555 · Shots v20260816-1555 · Shots on target v20260816-1555 · Fouls won v20260816-1555 · Saves v20260816-1229

Model projections

Fouls29 playersHighest: Santiago Mouriño, 1.49 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.

PlayerTeamModel /90Exp. minsProjectedOver 1.5nDistribution
Santiago MouriñoDEFVillarreal1.6182provisional1.4944%54
024%
133%
224%
312%
45%
52%
6+1%
Santi ComesañaMIDVillarreal1.3876provisional1.2134%70
031%
135%
221%
39%
43%
51%
6+0%
Pape GueyeMIDVillarreal1.2373provisional1.0528%65
036%
135%
219%
37%
42%
50%
6+0%
Adrià AltimiraDEFDeportivo A Coruña1.3763provisional1.0528%24
037%
135%
218%
37%
42%
51%
6+0%
Carlos RomeroDEFVillarreal1.0983provisional1.0328%71
036%
136%
219%
37%
42%
5+0%
Pau NavarroDEFVillarreal1.1974provisional1.0328%40
037%
136%
218%
37%
42%
50%
6+0%
Alberto MoleiroFWDVillarreal1.0575provisional0.9224%73
041%
136%
217%
35%
41%
5+0%
Ayoze PérezFWDVillarreal1.1864provisional0.9224%56
042%
135%
216%
36%
41%
5+0%
Sergi CardonaDEFVillarreal1.1865provisional0.9124%66
043%
133%
216%
36%
42%
5+0%
Renato VeigaDEFVillarreal0.9478provisional0.8421%53
045%
135%
215%
35%
41%
5+0%

10 of 29 players shown, ranked by projection. Show all 29 →

Shots29 playersHighest: Georges Mikautadze, 2.31 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.

PlayerTeamModel /90Exp. minsProjectedOver 1.5nDistribution
Georges MikautadzeFWDVillarreal2.8072provisional2.3163%33
014%
123%
223%
318%
411%
56%
6+5%
Ayoze PérezFWDVillarreal2.5964provisional1.9655%56
019%
126%
223%
316%
49%
54%
6+3%
Nicolas PépéFWDVillarreal2.1769provisional1.7349%65
022%
129%
223%
314%
47%
53%
6+2%
Pape GueyeMIDVillarreal1.8573provisional1.5545%65
024%
131%
223%
313%
46%
52%
6+1%
Alberto MoleiroFWDVillarreal1.7475provisional1.5043%73
025%
132%
223%
312%
45%
52%
6+1%
Gerard MorenoFWDVillarreal2.5542provisional1.3637%40
030%
132%
220%
310%
44%
52%
6+1%
Ilias AkhomachFWDVillarreal2.2047provisional1.2835%32
034%
131%
219%
39%
44%
52%
6+1%
Carlos RomeroDEFVillarreal1.1483provisional1.0729%71
036%
135%
219%
37%
42%
51%
6+0%
Tani OluwaseyiFWDVillarreal1.7050provisional1.0328%27
042%
131%
216%
37%
43%
51%
6+0%
Santi ComesañaMIDVillarreal1.1176provisional0.9625%70
040%
135%
217%
36%
42%
5+0%

10 of 29 players shown, ranked by projection. Show all 29 →

Shots on target29 playersHighest: Georges Mikautadze, 1.07 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.

PlayerTeamModel /90Exp. minsProjectedOver 0.5nDistribution
Georges MikautadzeFWDVillarreal1.2972provisional1.0763%33
037%
134%
218%
37%
42%
51%
6+0%
Ayoze PérezFWDVillarreal1.0964provisional0.8254%56
046%
133%
214%
35%
41%
5+0%
Nicolas PépéFWDVillarreal0.8869provisional0.7049%65
051%
132%
212%
33%
41%
5+0%
Alberto MoleiroFWDVillarreal0.7075provisional0.6044%73
056%
132%
210%
32%
4+0%
Gerard MorenoFWDVillarreal1.0842provisional0.5742%40
058%
130%
29%
32%
41%
5+0%
Pape GueyeMIDVillarreal0.5573provisional0.4636%65
064%
128%
27%
31%
4+0%
Ilias AkhomachFWDVillarreal0.7847provisional0.4535%32
065%
126%
27%
31%
4+0%
Tani OluwaseyiFWDVillarreal0.7150provisional0.4333%27
067%
125%
26%
31%
4+0%
Álex ForésFWD0.8431provisional0.3426%18
074%
121%
25%
31%
4+0%
Tajon BuchananFWDVillarreal0.5345provisional0.3025%54
075%
121%
24%
3+1%

10 of 29 players shown, ranked by projection. Show all 29 →

Fouls won29 playersHighest: Pape Gueye, 1.82 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.

PlayerTeamModel /90Exp. minsProjectedOver 1.5nDistribution
Pape GueyeMIDVillarreal2.1973provisional1.8253%65
019%
128%
224%
315%
48%
53%
6+2%
Ilias AkhomachFWDVillarreal3.0947provisional1.7648%32
024%
128%
221%
313%
47%
54%
6+3%
Georges MikautadzeFWDVillarreal1.7672provisional1.4441%33
027%
132%
222%
312%
45%
52%
6+1%
Ayoze PérezFWDVillarreal1.8764provisional1.4040%56
029%
132%
222%
311%
45%
52%
6+1%
Nicolas PépéFWDVillarreal1.7169provisional1.3538%65
030%
132%
221%
311%
44%
51%
6+1%
Santiago MouriñoDEFVillarreal1.3882provisional1.2736%54
030%
134%
222%
310%
43%
51%
6+0%
Dani ParejoMIDVillarreal1.7351provisional1.0528%68
041%
131%
217%
38%
43%
51%
6+0%
Tajon BuchananFWDVillarreal1.8445provisional1.0127%54
042%
132%
216%
37%
43%
51%
6+0%
Adrià AltimiraDEFDeportivo A Coruña1.3463provisional0.9926%24
040%
134%
217%
37%
42%
51%
6+0%
Alberto MoleiroFWDVillarreal1.1375provisional0.9625%73
040%
135%
217%
36%
42%
5+0%
Santi ComesañaMIDVillarreal1.0976provisional0.9424%70
041%
135%
217%
36%
42%
5+0%
Sergi CardonaDEFVillarreal1.1565provisional0.8622%66
046%
132%
215%
35%
42%
50%
6+0%
Pau CabanesFWDVillarreal2.6922provisional0.8119%17
048%
133%
213%
34%
41%
50%
6+0%
Carlos RomeroDEFVillarreal0.8583provisional0.8019%71
046%
135%
214%
34%
41%
5+0%
Gerard MorenoFWDVillarreal1.2542provisional0.6515%40
055%
131%
211%
33%
41%
5+0%
Álex ForésFWD1.6131provisional0.6314%18
059%
127%
210%
33%
41%
50%
6+0%
Tani OluwaseyiFWDVillarreal1.0150provisional0.6014%27
058%
129%
210%
33%
41%
5+0%
AngeliñoDEF0.8355provisional0.5311%45
062%
127%
29%
32%
40%
5+0%
Thomas ParteyMIDVillarreal0.9145provisional0.4910%60
065%
125%
28%
32%
40%
5+0%
Pau NavarroDEFVillarreal0.5374provisional0.458%40
064%
128%
27%
31%
4+0%
Alex FreemanDEFVillarreal0.9040provisional0.449%10
068%
123%
27%
32%
4+0%
Renato VeigaDEFVillarreal0.3378provisional0.294%53
075%
121%
23%
3+0%
Juan FoythDEFVillarreal0.2979provisional0.263%33
077%
120%
23%
3+0%
Luiz JúniorGKVillarreal0.2388provisional0.232%46
080%
118%
22%
3+0%
Arnau TenasGKVillarreal0.1586provisional0.141%10
087%
112%
2+1%
Willy KambwalaDEFVillarreal0.1954provisional0.121%21
089%
110%
2+1%
Logan CostaDEFVillarreal0.1855provisional0.121%34
089%
110%
2+1%
Leo RománGKDeportivo A Coruña0.0989provisional0.090%41
091%
18%
2+0%
Péter GulácsiGK0.0587provisional0.050%53
095%
15%
2+0%

All 29 players shown, ranked by projection. Show fewer ↥

Saves4 playersHighest: Leo Román, 3.28 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.

PlayerTeamModel /90Exp. minsProjectedOver 2.5nDistribution
Leo RománGKDeportivo A Coruña3.3289provisional3.2861%41
05%
114%
220%
320%
416%
511%
6+14%
Luiz JúniorGKVillarreal2.2688provisional2.2238%46
013%
124%
225%
318%
411%
55%
6+4%
Péter GulácsiGK2.2387provisional2.1736%53
013%
125%
225%
318%
410%
55%
6+3%
Arnau TenasGKVillarreal2.1386provisional2.0634%10
015%
126%
225%
317%
49%
54%
6+3%

2 of 7 markets have no projection for this fixture.