PER90

La Liga · Spain

ValenciavCelta de Vigo

Estadio de Mestallaexpected lineup

Referee

Not appointed

0 matches on record

Fouls per game

League average

23.2

fouls per match, both teams

Facts with sample sizes, not predictions. The market % beside a line is the books’ median price with margin in, and the over market runs hot.

Value — 4 live calls

  • Ilaix Moribaover 2.50 Fouls4.33 at bet365 · fair 3.50+23.8%
  • César Tárregaover 1.50 Tackles2.50 at bet365 · fair 2.05+22.0%
  • Hugo Duroover 0.50 Tackles2.38 at bet365 · fair 1.95+21.8%
  • Marcos Alonsoover 2.50 Tackles4.00 at bet365 · fair 3.50+14.3%

Published at the price shown and scored against the closing line whatever happens next — the same rows, with staking context, are on the value board and in the track record.

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

Fouls49 playersHighest: Carles Pérez, 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
Carles PérezFWD2.6241provisional1.4641%27
027%
132%
221%
311%
45%
52%
6+1%
Yoel LagoDEFCelta de Vigo1.4780provisional1.3439%20
028%
134%
223%
311%
44%
51%
6+0%
César TárregaDEFValencia1.3086provisional1.2535%66
029%
135%
222%
39%
43%
51%
6+0%
Ilaix MoribaMIDCelta de Vigo1.4473provisional1.2335%69
031%
134%
221%
39%
43%
51%
6+0%
Borja IglesiasFWDCelta de Vigo1.6162provisional1.2134%72
032%
134%
221%
39%
43%
51%
6+0%
Javi GalánDEF1.5564provisional1.1833%50
034%
133%
220%
39%
43%
51%
6+0%
Lucas BeltránFWDValencia1.4763provisional1.1331%60
034%
134%
220%
38%
43%
51%
6+0%
Umar SadiqFWDValencia2.2335provisional1.1029%48
037%
134%
218%
37%
43%
51%
6+0%
Williot SwedbergFWDCelta de Vigo1.5852provisional1.0629%61
037%
135%
219%
37%
42%
51%
6+0%
Javi RodríguezDEFCelta de Vigo1.1978provisional1.0629%69
036%
135%
219%
37%
42%
50%
6+0%

10 of 49 players shown, ranked by projection. Show all 49 →

Shots49 playersHighest: Lucas Beltrán, 1.47 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
Lucas BeltránFWDValencia1.9863provisional1.4742%60
027%
131%
222%
312%
45%
52%
6+1%
Hugo DuroFWDValencia1.8068provisional1.4341%67
027%
132%
222%
311%
45%
52%
6+1%
Borja IglesiasFWDCelta de Vigo1.6662provisional1.2134%72
033%
133%
220%
39%
43%
51%
6+0%
Luis RiojaFWDValencia1.3677provisional1.1933%74
032%
134%
220%
39%
43%
51%
6+0%
Diego LópezFWDValencia1.4768provisional1.1732%72
034%
134%
220%
39%
43%
51%
6+0%
Javi GuerraMIDValencia1.4270provisional1.1532%72
034%
134%
220%
38%
43%
51%
6+0%
Dani RabaFWDValencia2.3838provisional1.1330%42
040%
130%
216%
38%
44%
52%
6+1%
Ferran JutglàFWDCelta de Vigo1.7252provisional1.0930%30
038%
132%
218%
38%
43%
51%
6+0%
Umar SadiqFWDValencia2.3735provisional1.0828%48
039%
132%
216%
37%
43%
51%
6+1%
Iago AspasFWDCelta de Vigo1.7947provisional1.0428%62
041%
131%
216%
37%
43%
51%
6+0%

10 of 49 players shown, ranked by projection. Show all 49 →

Shots on target49 playersHighest: Borja Iglesias, 0.65 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
Borja IglesiasFWDCelta de Vigo0.8862provisional0.6546%72
054%
131%
211%
33%
41%
5+0%
Hugo DuroFWDValencia0.7068provisional0.5541%67
059%
130%
29%
32%
4+0%
Ferran JutglàFWDCelta de Vigo0.8452provisional0.5339%30
061%
128%
28%
32%
4+0%
Lucas BeltránFWDValencia0.6863provisional0.5038%60
062%
129%
28%
32%
4+0%
Iago AspasFWDCelta de Vigo0.7947provisional0.4635%62
065%
126%
27%
32%
4+0%
Umar SadiqFWDValencia0.9335provisional0.4233%48
067%
125%
26%
31%
4+0%
Williot SwedbergFWDCelta de Vigo0.6152provisional0.3932%61
068%
125%
25%
31%
4+0%
Arnaut DanjumaFWDValencia0.7442provisional0.3931%58
069%
124%
25%
31%
4+0%
Diego LópezFWDValencia0.4968provisional0.3932%72
068%
125%
25%
31%
4+0%
Luis RiojaFWDValencia0.4177provisional0.3630%74
070%
124%
25%
3+1%

10 of 49 players shown, ranked by projection. Show all 49 →

Fouls won49 playersHighest: Aleix Febas, 2.58 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.

PlayerTeamModel /90Exp. minsProjectedOver 1.5nDistribution
Aleix FebasMID2.6687provisional2.5871%36
09%
120%
224%
320%
413%
57%
6+6%
Lucas BeltránFWDValencia2.2763provisional1.6748%60
023%
129%
223%
314%
47%
53%
6+2%
Ilaix MoribaMIDCelta de Vigo1.8973provisional1.5845%69
024%
130%
223%
313%
46%
52%
6+1%
Hugo DuroFWDValencia1.7568provisional1.3839%67
029%
132%
222%
311%
44%
52%
6+1%
Guido RodríguezMIDValencia1.6467provisional1.2636%45
033%
131%
220%
310%
44%
51%
6+0%
Williot SwedbergFWDCelta de Vigo1.9352provisional1.2134%61
033%
133%
220%
39%
43%
51%
6+0%
Javi GalánDEF1.6264provisional1.2033%50
034%
132%
219%
39%
43%
51%
6+0%
Borja IglesiasFWDCelta de Vigo1.4762provisional1.0629%72
038%
133%
218%
37%
42%
51%
6+0%
Diego LópezFWDValencia1.3568provisional1.0629%72
037%
134%
218%
37%
42%
51%
6+0%
Ferran JutglàFWDCelta de Vigo1.5752provisional0.9826%30
042%
132%
216%
37%
42%
51%
6+0%
Yoel LagoDEFCelta de Vigo1.0780provisional0.9725%20
040%
135%
217%
36%
42%
5+0%
Luis RiojaFWDValencia1.0477provisional0.9023%74
042%
135%
216%
35%
41%
5+0%
Álvaro NúñezDEFCelta de Vigo0.9980provisional0.9023%25
042%
135%
216%
35%
41%
5+0%
Javi RuedaDEFCelta de Vigo1.2362provisional0.8923%26
044%
134%
216%
35%
42%
5+0%
Dani RabaFWDValencia1.8938provisional0.8822%42
048%
129%
213%
36%
42%
51%
6+0%
Sergio CarreiraDEFCelta de Vigo0.9780provisional0.8722%57
043%
135%
215%
35%
41%
5+0%
André AlmeidaMIDValencia1.7540provisional0.8722%56
048%
131%
214%
35%
42%
51%
6+0%
Iago AspasFWDCelta de Vigo1.4947provisional0.8522%62
048%
131%
214%
35%
42%
51%
6+0%
Javi RodríguezDEFCelta de Vigo0.9778provisional0.8521%69
044%
134%
215%
35%
41%
5+0%
Javi GuerraMIDValencia0.9870provisional0.7919%72
047%
133%
214%
34%
41%
5+0%
Dimitri FoulquierDEFValencia0.8678provisional0.7518%47
049%
133%
213%
34%
41%
5+0%
Umar SadiqFWDValencia1.6435provisional0.7217%48
052%
131%
212%
34%
41%
50%
6+0%
José GayàDEFValencia0.8079provisional0.7116%55
050%
134%
212%
33%
41%
5+0%
Miguel RománMIDCelta de Vigo0.8275provisional0.6916%19
052%
132%
212%
33%
41%
5+0%
Marcos AlonsoDEFCelta de Vigo0.6786provisional0.6414%63
053%
133%
211%
33%
4+1%
Filip UgrinicMIDValencia0.8464provisional0.6214%27
055%
131%
210%
33%
4+1%
Arnaut DanjumaFWDValencia1.1642provisional0.5913%58
058%
129%
210%
33%
41%
5+0%
Jesús VázquezDEFValencia0.8558provisional0.5813%43
058%
129%
210%
32%
41%
5+0%
Carles PérezFWD1.1441provisional0.5812%27
059%
129%
29%
32%
41%
5+0%
Hugo ÁlvarezFWDCelta de Vigo1.1141provisional0.5712%54
059%
129%
29%
32%
41%
5+0%
José CopeteDEFValencia0.6477provisional0.5612%46
058%
130%
29%
32%
4+0%
César TárregaDEFValencia0.5586provisional0.5310%66
059%
130%
28%
32%
4+0%
Damián RodríguezMIDCelta de Vigo0.6965provisional0.5210%19
061%
129%
28%
32%
4+0%
Carl StarfeltDEFCelta de Vigo0.5381provisional0.499%47
062%
129%
27%
31%
4+0%
PepeluMIDValencia0.7257provisional0.489%65
064%
126%
27%
32%
4+0%
Mouctar DiakhabyDEFValencia0.6166provisional0.469%21
064%
127%
27%
31%
4+0%
Baptiste SantamariaMIDValencia1.1630provisional0.449%19
068%
124%
26%
32%
40%
5+0%
Pablo DuránFWDCelta de Vigo0.9238provisional0.438%57
067%
125%
26%
31%
4+0%
Fran BeltránMIDCelta de Vigo0.7248provisional0.417%61
068%
125%
26%
31%
4+0%
Sergi CanósFWDValencia1.3822provisional0.417%17
067%
125%
26%
31%
4+0%
Carlos DomínguezDEFCelta de Vigo0.4372provisional0.365%27
071%
124%
25%
3+1%
Mihailo RisticDEFCelta de Vigo0.5847provisional0.335%15
073%
122%
24%
3+1%
Manu FernándezDEFCelta de Vigo0.6041provisional0.305%14
075%
120%
24%
3+1%
Altay BayındırGK0.3086provisional0.294%10
075%
121%
23%
3+0%
Joseph AidooDEFCelta de Vigo0.3074provisional0.253%17
078%
119%
23%
3+0%
Jones El-AbdellaouiFWDCelta de Vigo0.6726provisional0.243%22
080%
118%
22%
3+0%
Matías VecinoMIDCelta de Vigo0.5133provisional0.222%39
081%
116%
22%
3+0%
Stole DimitrievskiGKValencia0.2088provisional0.192%24
082%
116%
22%
3+0%
Ionuț RaduGKCelta de Vigo0.1889provisional0.171%53
084%
115%
2+1%

All 49 players shown, ranked by projection. Show fewer ↥

Saves3 playersHighest: Ionuț Radu, 2.92 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
Ionuț RaduGKCelta de Vigo2.9489provisional2.9254%53
07%
117%
222%
320%
415%
59%
6+10%
Stole DimitrievskiGKValencia2.5988provisional2.5546%24
010%
121%
224%
320%
413%
57%
6+6%
Altay BayındırGK2.4786provisional2.3842%10
011%
123%
225%
319%
412%
56%
6+5%

2 of 7 markets have no projection for this fixture.