PER90

La Liga · Spain

Celta de VigovAthletic Club

Abanca-Balaídoslineups 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 v20260813-1451 · Tackles v20260813-1451 · Shots v20260813-1451 · Fouls won v20260813-1451 · Cards v20260813-1451 · Saves v20260813-1451

Model projections

Fouls46 playersHighest: Iñigo Ruiz de Galarreta, 1.64 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
Iñigo Ruiz de GalarretaMIDAthletic Club2.3862provisional1.6448%56
022%
131%
224%
314%
46%
52%
6+1%
Mikel JauregizarMIDAthletic Club1.7673provisional1.4241%62
027%
132%
223%
312%
45%
52%
6+1%
Yoel LagoDEFCelta de Vigo1.5578provisional1.3439%18
030%
131%
222%
311%
44%
51%
6+0%
Beñat PradosMIDAthletic Club2.1357provisional1.3438%25
031%
131%
221%
311%
44%
52%
6+1%
Gorka GuruzetaFWDAthletic Club2.0159provisional1.3337%58
031%
132%
221%
310%
44%
51%
6+1%
Alejandro RegoMIDAthletic Club2.5944provisional1.2634%16
036%
131%
217%
39%
44%
52%
6+1%
Dani VivianDEFAthletic Club1.1782provisional1.0729%59
036%
135%
219%
37%
42%
51%
6+0%
Ilaix MoribaMIDCelta de Vigo1.4167provisional1.0528%54
039%
132%
218%
37%
42%
51%
6+0%
Álvaro DjalóFWDAthletic Club2.4339provisional1.0428%10
039%
133%
217%
37%
43%
51%
6+0%
Maroan SannadiFWDAthletic Club2.3240provisional1.0327%13
042%
131%
215%
37%
43%
51%
6+0%

10 of 46 players shown, ranked by projection. Show all 46 →

Tackles46 playersHighest: Ilaix Moriba, 2.34 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
Ilaix MoribaMIDCelta de Vigo3.1467provisional2.3459%54
018%
123%
220%
315%
410%
57%
6+8%
Mikel JauregizarMIDAthletic Club2.6073provisional2.1057%62
018%
125%
222%
316%
410%
55%
6+4%
Andoni GorosabelDEFAthletic Club2.5665provisional1.8449%35
025%
125%
220%
314%
48%
54%
6+4%
Beñat PradosMIDAthletic Club2.9157provisional1.8350%25
024%
127%
221%
314%
48%
54%
6+3%
Iñigo Ruiz de GalarretaMIDAthletic Club2.3962provisional1.6546%56
024%
130%
222%
313%
46%
53%
6+2%
Yoel LagoDEFCelta de Vigo1.8278provisional1.5745%18
027%
128%
222%
313%
46%
53%
6+1%
Miguel RománMIDCelta de Vigo2.0069provisional1.5342%14
031%
127%
219%
312%
46%
53%
6+2%
Fran BeltránMIDCelta de Vigo2.0267provisional1.5142%39
028%
129%
221%
312%
46%
52%
6+1%
Dani VivianDEFAthletic Club1.6682provisional1.5143%59
027%
131%
222%
312%
45%
52%
6+1%
Carlos DomínguezDEFCelta de Vigo1.9366provisional1.4239%22
032%
129%
219%
311%
45%
52%
6+1%

10 of 46 players shown, ranked by projection. Show all 46 →

Shots46 playersHighest: Gorka Guruzeta, 1.71 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
Gorka GuruzetaFWDAthletic Club2.5859provisional1.7148%58
024%
128%
222%
314%
47%
53%
6+2%
Iñaki WilliamsFWDAthletic Club1.9174provisional1.5845%61
024%
131%
223%
313%
46%
52%
6+1%
Nico WilliamsFWDAthletic Club2.0768provisional1.5745%50
025%
130%
222%
313%
46%
52%
6+1%
Oihan SancetMIDAthletic Club2.2560provisional1.5143%49
026%
131%
222%
312%
45%
52%
6+1%
Ferran JutglàFWDCelta de Vigo2.1955provisional1.3538%23
032%
130%
220%
311%
45%
52%
6+1%
Álex BerenguerFWDAthletic Club1.7367provisional1.3037%58
031%
132%
221%
310%
44%
51%
6+1%
Borja IglesiasFWDCelta de Vigo2.1354provisional1.2735%50
035%
130%
219%
310%
44%
52%
6+1%
Iago AspasFWDCelta de Vigo2.2847provisional1.1832%34
040%
128%
216%
39%
44%
52%
6+1%
Pablo DuránFWDCelta de Vigo1.9250provisional1.0629%37
042%
130%
216%
38%
43%
51%
6+0%
Maroan SannadiFWDAthletic Club2.3640provisional1.0527%13
042%
131%
215%
37%
43%
51%
6+1%

10 of 46 players shown, ranked by projection. Show all 46 →

Fouls won46 playersHighest: Ilaix Moriba, 1.79 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
Ilaix MoribaMIDCelta de Vigo2.4067provisional1.7950%54
024%
127%
221%
314%
48%
54%
6+3%
Nico WilliamsFWDAthletic Club1.5668provisional1.1833%50
034%
133%
220%
39%
43%
51%
6+0%
Ferran JutglàFWDCelta de Vigo1.9055provisional1.1732%23
036%
131%
219%
39%
43%
51%
6+0%
Maroan SannadiFWDAthletic Club2.6140provisional1.1630%13
039%
131%
216%
38%
44%
52%
6+1%
Williot SwedbergFWDCelta de Vigo2.4243provisional1.1531%36
037%
132%
218%
38%
43%
51%
6+1%
Mikel JauregizarMIDAthletic Club1.3673provisional1.1030%62
036%
134%
219%
38%
43%
51%
6+0%
Borja IglesiasFWDCelta de Vigo1.8254provisional1.0929%50
040%
131%
217%
38%
43%
51%
6+0%
Álex BerenguerFWDAthletic Club1.4267provisional1.0729%58
038%
133%
218%
37%
42%
51%
6+0%
Iñaki WilliamsFWDAthletic Club1.2574provisional1.0328%61
038%
134%
218%
37%
42%
51%
6+0%
Yoel LagoDEFCelta de Vigo1.1678provisional1.0127%18
040%
133%
218%
37%
42%
51%
6+0%

10 of 46 players shown, ranked by projection. Show all 46 →

Cards46 playersHighest: Yoel Lago, 0.25 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
Yoel LagoDEFCelta de Vigo0.2978provisional0.2522%18
078%
119%
23%
3+0%
Iñigo Ruiz de GalarretaMIDAthletic Club0.3562provisional0.2421%56
079%
119%
22%
3+0%
Dani VivianDEFAthletic Club0.2282provisional0.2018%59
082%
116%
22%
3+0%
Marcos AlonsoDEFCelta de Vigo0.2086provisional0.1917%62
083%
116%
22%
3+0%
Aitor ParedesDEFAthletic Club0.2082provisional0.1817%39
083%
115%
21%
3+0%
Alejandro RegoMIDAthletic Club0.3844provisional0.1816%16
084%
114%
22%
3+0%
Ilaix MoribaMIDCelta de Vigo0.2467provisional0.1816%54
084%
115%
22%
3+0%
Beñat PradosMIDAthletic Club0.2857provisional0.1816%25
084%
114%
21%
3+0%
Andoni GorosabelDEFAthletic Club0.2365provisional0.1715%35
085%
114%
21%
3+0%
Javi RodríguezDEFCelta de Vigo0.2074provisional0.1615%61
085%
113%
2+1%
Mikel JauregizarMIDAthletic Club0.2073provisional0.1614%62
086%
113%
2+1%
Javi RuedaDEFCelta de Vigo0.2654provisional0.1614%19
086%
113%
2+1%
Jesús AresoDEFAthletic Club0.2358provisional0.1513%18
087%
112%
2+1%
Damián RodríguezMIDCelta de Vigo0.2357provisional0.1513%14
087%
112%
2+1%
Miguel RománMIDCelta de Vigo0.1869provisional0.1413%14
087%
112%
2+1%
Carl StarfeltDEFCelta de Vigo0.1680provisional0.1413%43
087%
112%
2+1%
Yuri BerchicheDEFAthletic Club0.1677provisional0.1413%56
087%
112%
2+1%
Álvaro DjalóFWDAthletic Club0.3139provisional0.1312%10
088%
111%
2+1%
Gorka GuruzetaFWDAthletic Club0.2059provisional0.1312%58
088%
111%
2+1%
Yeray ÁlvarezDEFAthletic Club0.1482provisional0.1312%27
088%
111%
2+1%
Iñigo LekueDEFAthletic Club0.2251provisional0.1211%17
089%
110%
2+1%
Adama BoiroDEFAthletic Club0.1860provisional0.1211%25
089%
110%
2+1%
Ferran JutglàFWDCelta de Vigo0.1955provisional0.1211%23
089%
110%
2+1%
Oihan SancetMIDAthletic Club0.1860provisional0.1211%49
089%
110%
2+1%
Manu FernándezDEFCelta de Vigo0.2054provisional0.1211%10
089%
110%
2+1%
Aymeric LaporteDEFAthletic Club0.1382provisional0.1211%24
089%
110%
2+1%
Borja IglesiasFWDCelta de Vigo0.2054provisional0.1211%50
089%
110%
2+1%
Fran BeltránMIDCelta de Vigo0.1667provisional0.1211%39
089%
110%
2+1%
Maroan SannadiFWDAthletic Club0.2540provisional0.1110%13
090%
110%
2+1%
Carlos DomínguezDEFCelta de Vigo0.1566provisional0.1110%22
090%
110%
2+1%
Álex BerenguerFWDAthletic Club0.1467provisional0.1110%58
090%
19%
2+1%
Sergio CarreiraDEFCelta de Vigo0.1176provisional0.099%51
091%
19%
2+0%
Hugo ÁlvarezFWDCelta de Vigo0.1654provisional0.099%38
091%
18%
2+1%
Pablo DuránFWDCelta de Vigo0.1750provisional0.099%37
091%
18%
2+1%
Iñaki WilliamsFWDAthletic Club0.1174provisional0.099%61
091%
18%
2+0%
Nico WilliamsFWDAthletic Club0.1268provisional0.098%50
092%
18%
2+0%
Mikel VesgaMIDAthletic Club0.2630provisional0.098%15
092%
18%
2+1%
Williot SwedbergFWDCelta de Vigo0.1843provisional0.088%36
092%
18%
2+0%
Robert NavarroFWDAthletic Club0.1741provisional0.087%18
093%
17%
2+0%
Mihailo RisticDEFCelta de Vigo0.1546provisional0.087%10
093%
17%
2+0%
Iago AspasFWDCelta de Vigo0.1347provisional0.077%34
093%
16%
2+0%
Unai SimónGKAthletic Club0.0590provisional0.055%58
095%
15%
2+0%
Urko IzetaFWDAthletic Club0.3314provisional0.055%1
095%
15%
2+0%
Nico SerranoFWDAthletic Club0.1924provisional0.055%5
095%
15%
2+0%
Jones El-AbdellaouiFWDCelta de Vigo0.1430provisional0.055%7
095%
14%
2+0%
Ionuț RaduGKCelta de Vigo0.0190provisional0.011%38
099%
1+1%

All 46 players shown, ranked by projection. Show fewer ↥

Saves2 playersHighest: Unai Simón, 2.90 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
Unai SimónGKAthletic Club2.9090provisional2.9053%58
07%
117%
222%
320%
415%
59%
6+9%
Ionuț RaduGKCelta de Vigo2.6090provisional2.6047%38
09%
120%
224%
320%
413%
57%
6+7%

1 of 7 markets have no projection for this fixture.