PER90

La Liga · Spain

LevantevReal Betis

Estadio Ciudad de Valencialineups 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 v20260815-1512 · Tackles v20260815-1512 · Shots v20260815-1512 · Fouls won v20260815-1512 · Cards v20260815-1512 · Saves v20260815-1512

Model projections

Fouls44 playersHighest: Marc Roca, 1.46 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
Marc RocaMIDReal Betis1.9368provisional1.4642%36
027%
130%
222%
312%
45%
52%
6+1%
Sofyan AmrabatMIDReal Betis1.6476provisional1.3940%15
028%
132%
222%
311%
45%
52%
6+1%
Oriol ReyMIDLevante1.8366provisional1.3438%16
032%
130%
220%
311%
45%
52%
6+1%
Iván RomeroFWDLevante1.6171provisional1.2736%30
030%
133%
221%
310%
44%
51%
6+0%
Pablo MartínezMIDLevante1.6069provisional1.2335%22
033%
133%
220%
39%
43%
51%
6+0%
Manu SánchezDEFLevante1.1685provisional1.1030%32
034%
136%
220%
38%
42%
51%
6+0%
Adrián DelaDEFLevante1.1782provisional1.0729%30
036%
134%
219%
37%
42%
51%
6+0%
Sergi AltimiraMIDReal Betis1.6756provisional1.0428%40
040%
132%
217%
37%
43%
51%
6+0%
Valentín GómezDEFReal Betis1.3767provisional1.0228%20
042%
130%
217%
37%
43%
51%
6+0%
Junior FirpoDEFReal Betis1.2969provisional1.0027%10
039%
134%
218%
37%
42%
50%
6+0%

10 of 44 players shown, ranked by projection. Show all 44 →

Tackles44 playersHighest: Manu Sánchez, 1.51 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.

PlayerTeamModel /90Exp. minsProjectedOver 1.5nDistribution
Manu SánchezDEFLevante1.6085provisional1.5143%32
026%
131%
222%
312%
45%
52%
6+1%
Sergi AltimiraMIDReal Betis1.9656provisional1.2333%40
037%
130%
218%
39%
44%
52%
6+1%
Ángel OrtizDEFReal Betis2.0452provisional1.1832%11
042%
126%
216%
39%
44%
52%
6+1%
Jeremy ToljanDEFLevante1.2186provisional1.1532%36
034%
134%
219%
38%
43%
51%
6+0%
Junior FirpoDEFReal Betis1.4169provisional1.0929%10
038%
133%
218%
38%
43%
51%
6+0%
Aitor RuibalFWDReal Betis1.5956provisional0.9826%37
044%
130%
215%
37%
43%
51%
6+0%
Marc RocaMIDReal Betis1.2868provisional0.9726%36
042%
132%
216%
36%
42%
51%
6+0%
Sofyan AmrabatMIDReal Betis1.0876provisional0.9124%15
044%
132%
215%
36%
42%
50%
6+0%
Kervin ArriagaMIDLevante1.4257provisional0.9023%18
047%
129%
214%
36%
42%
51%
6+0%
Abde EzzalzouliFWDReal Betis1.1370provisional0.8722%54
045%
132%
215%
35%
42%
50%
6+0%

10 of 44 players shown, ranked by projection. Show all 44 →

Shots44 playersHighest: Cucho Hernández, 2.72 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
Cucho HernándezFWDReal Betis3.0680provisional2.7273%47
08%
119%
223%
320%
414%
58%
6+8%
AntonyFWDReal Betis2.9078provisional2.5268%47
011%
121%
223%
319%
413%
57%
6+6%
Abde EzzalzouliFWDReal Betis2.8170provisional2.1860%54
016%
124%
223%
317%
410%
56%
6+4%
Iván RomeroFWDLevante2.5571provisional2.0257%30
017%
126%
224%
317%
49%
54%
6+3%
IscoMIDReal Betis2.5159provisional1.6545%23
026%
128%
220%
313%
47%
53%
6+2%
Karl Etta EyongFWDLevante2.8947provisional1.5239%16
036%
125%
216%
311%
47%
54%
6+3%
Giovani Lo CelsoMIDReal Betis2.1658provisional1.4039%40
030%
131%
220%
311%
45%
52%
6+1%
Roger BruguéFWDLevante2.3553provisional1.3838%13
031%
131%
220%
310%
45%
52%
6+1%
Paco CortésFWDLevante2.6039provisional1.1329%7
040%
130%
215%
38%
44%
52%
6+1%
Carlos ÁlvarezMIDLevante1.6163provisional1.1331%24
037%
132%
219%
38%
43%
51%
6+0%

10 of 44 players shown, ranked by projection. Show all 44 →

Fouls won44 playersHighest: Iván Romero, 2.17 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
Iván RomeroFWDLevante2.7571provisional2.1760%30
016%
124%
223%
317%
410%
55%
6+4%
Giovani Lo CelsoMIDReal Betis3.1858provisional2.0656%40
019%
126%
222%
315%
49%
55%
6+4%
Abde EzzalzouliFWDReal Betis2.2770provisional1.7550%54
022%
128%
223%
314%
47%
53%
6+2%
IscoMIDReal Betis2.5459provisional1.6746%23
026%
128%
220%
313%
47%
53%
6+2%
Carlos ÁlvarezMIDLevante2.1663provisional1.5243%24
028%
129%
221%
312%
46%
52%
6+1%
AntonyFWDReal Betis1.6978provisional1.4642%47
026%
132%
223%
312%
45%
52%
6+1%
Kareem TundeFWDLevante1.8655provisional1.1332%16
037%
131%
219%
38%
43%
51%
6+0%
Cucho HernándezFWDReal Betis1.1980provisional1.0528%47
036%
135%
219%
37%
42%
51%
6+0%
Karl Etta EyongFWDLevante1.9447provisional1.0227%16
046%
127%
214%
38%
43%
51%
6+1%
Sergi AltimiraMIDReal Betis1.6256provisional1.0127%40
042%
131%
216%
37%
43%
51%
6+0%

10 of 44 players shown, ranked by projection. Show all 44 →

Cards44 playersHighest: Sofyan Amrabat, 0.24 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.

PlayerTeamModel /90Exp. minsProjectedOver 0.5nDistribution
Sofyan AmrabatMIDReal Betis0.2876provisional0.2421%15
079%
118%
22%
3+0%
Oriol ReyMIDLevante0.2966provisional0.2119%16
081%
116%
22%
3+0%
Valentín GómezDEFReal Betis0.2667provisional0.1917%20
083%
115%
22%
3+0%
Kervin ArriagaMIDLevante0.3057provisional0.1917%18
083%
115%
22%
3+0%
Manu SánchezDEFLevante0.2085provisional0.1917%32
083%
115%
22%
3+0%
Adrián DelaDEFLevante0.2182provisional0.1917%30
083%
115%
22%
3+0%
Unai ElgezabalDEFLevante0.2180provisional0.1917%11
083%
115%
21%
3+0%
NatanDEFReal Betis0.2078provisional0.1816%57
084%
114%
21%
3+0%
Marc RocaMIDReal Betis0.2368provisional0.1716%36
084%
114%
21%
3+0%
Jeremy ToljanDEFLevante0.1886provisional0.1716%36
084%
114%
2+1%
Diego LlorenteDEFReal Betis0.2078provisional0.1716%45
084%
114%
2+1%
Pablo MartínezMIDLevante0.2169provisional0.1615%22
085%
113%
2+1%
Iván RomeroFWDLevante0.1971provisional0.1514%30
086%
113%
2+1%
Aitor RuibalFWDReal Betis0.2556provisional0.1514%37
086%
113%
2+1%
Sergi AltimiraMIDReal Betis0.2456provisional0.1514%40
086%
113%
2+1%
Junior FirpoDEFReal Betis0.1969provisional0.1514%10
086%
113%
2+1%
AntonyFWDReal Betis0.1778provisional0.1514%47
086%
113%
2+1%
IscoMIDReal Betis0.2159provisional0.1413%23
087%
112%
2+1%
Ángel OrtizDEFReal Betis0.2352provisional0.1412%11
088%
111%
2+1%
Marc BartraDEFReal Betis0.1482provisional0.1312%48
088%
111%
2+1%
Kareem TundeFWDLevante0.2155provisional0.1312%16
088%
111%
2+1%
Nelson DeossaMIDReal Betis0.3137provisional0.1312%9
088%
111%
2+1%
Carlos ÁlvarezMIDLevante0.1663provisional0.1211%24
089%
110%
2+1%
Abde EzzalzouliFWDReal Betis0.1570provisional0.1111%54
089%
110%
2+1%
Jon Ander OlasagastiMIDLevante0.2052provisional0.1111%20
089%
110%
2+1%
Karl Etta EyongFWDLevante0.2147provisional0.1110%16
090%
19%
2+1%
Héctor BellerínDEFReal Betis0.1567provisional0.1110%29
090%
19%
2+1%
Cucho HernándezFWDReal Betis0.1280provisional0.1110%47
090%
110%
2+1%
Cédric BakambuFWDReal Betis0.3030provisional0.109%15
091%
19%
2+1%
Paco CortésFWDLevante0.2339provisional0.109%7
091%
19%
2+1%
Víctor GarcíaFWDLevante0.1750provisional0.099%15
091%
18%
2+1%
Giovani Lo CelsoMIDReal Betis0.1458provisional0.099%40
091%
18%
2+0%
Chimy ÁvilaFWDReal Betis0.2730provisional0.099%14
091%
18%
2+1%
Pablo FornalsMIDReal Betis0.1174provisional0.099%59
091%
18%
2+0%
Roger BruguéFWDLevante0.1553provisional0.098%13
092%
18%
2+0%
Ricardo RodríguezDEFReal Betis0.1069provisional0.088%35
092%
17%
2+0%
Pablo GarcíaFWDReal Betis0.3023provisional0.087%5
093%
17%
2+0%
Rodrigo RiquelmeFWDReal Betis0.2132provisional0.087%10
093%
17%
2+0%
Goduine KoyalipouFWDLevante0.2222provisional0.055%2
095%
15%
2+0%
José Luis MoralesFWDLevante0.2618provisional0.055%2
095%
15%
2+0%
Iker LosadaFWDLevante0.1334provisional0.055%5
095%
15%
2+0%
AdriánGKReal Betis0.0290provisional0.022%20
098%
1+2%
Álvaro VallesGKReal Betis0.0290provisional0.022%28
098%
1+2%
Mathew RyanGKLevante0.0190provisional0.011%36
099%
1+1%

All 44 players shown, ranked by projection. Show fewer ↥

Saves3 playersHighest: Álvaro Valles, 3.21 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
Álvaro VallesGKReal Betis3.2190provisional3.2160%28
06%
115%
220%
320%
416%
511%
6+13%
AdriánGKReal Betis3.0690provisional3.0657%20
06%
116%
221%
320%
415%
510%
6+11%
Mathew RyanGKLevante2.9090provisional2.9053%36
07%
117%
222%
320%
415%
59%
6+9%

1 of 7 markets have no projection for this fixture.