La Liga · Spain
ElchevFC Barcelona
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.
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.
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.
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.
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 columnClose
- 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
Fouls40 playersHighest: Gavi, 1.37 expectedshowhide
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.
| Player | Team | Model /90 | Exp. mins | Projected | Over 1.5 | n | Distribution |
|---|---|---|---|---|---|---|---|
| GaviMID | FC Barcelona | 2.72 | 45provisional | 1.37 | 38% | 21 | 036% 126% 217% 311% 46% 52% 6+1% |
| Buba SangaréDEF | Elche | 2.69 | 45provisional | 1.35 | 38% | 7 | 036% 126% 218% 311% 45% 52% 6+1% |
| Marc CasadóMID | FC Barcelona | 2.17 | 55provisional | 1.33 | 37% | 33 | 035% 128% 219% 311% 45% 52% 6+1% |
| Tete MorenteFWD | Elche | 1.67 | 72provisional | 1.33 | 38% | 11 | 029% 133% 222% 311% 44% 51% 6+0% |
| Fermín LópezMID | FC Barcelona | 2.25 | 53provisional | 1.31 | 37% | 40 | 032% 132% 220% 310% 44% 52% 6+1% |
| Víctor ChustDEF | Elche | 1.49 | 70provisional | 1.16 | 32% | 27 | 036% 132% 219% 39% 43% 51% 6+0% |
| Lamine YamalFWD | FC Barcelona | 1.18 | 82provisional | 1.07 | 29% | 62 | 035% 135% 219% 37% 42% 51% 6+0% |
| Germán ValeraFWD | Elche | 1.19 | 80provisional | 1.06 | 29% | 33 | 036% 135% 219% 37% 42% 51% 6+0% |
| Dani OlmoMID | FC Barcelona | 1.67 | 57provisional | 1.05 | 28% | 43 | 038% 133% 218% 37% 42% 51% 6+0% |
| Marc BernalMID | FC Barcelona | 2.28 | 41provisional | 1.04 | 28% | 12 | 044% 128% 215% 38% 43% 51% 6+1% |
10 of 40 players shown, ranked by projection. Show all 40 →
Tackles40 playersHighest: Víctor Chust, 2.00 expectedshowhide
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.
| Player | Team | Model /90 | Exp. mins | Projected | Over 1.5 | n | Distribution |
|---|---|---|---|---|---|---|---|
| Víctor ChustDEF | Elche | 2.57 | 70provisional | 2.00 | 53% | 27 | 022% 125% 220% 314% 49% 55% 6+5% |
| David AffengruberDEF | Elche | 2.15 | 82provisional | 1.96 | 55% | 35 | 018% 127% 223% 316% 49% 54% 6+3% |
| Jules KoundéDEF | FC Barcelona | 2.18 | 78provisional | 1.90 | 53% | 55 | 021% 126% 222% 315% 48% 54% 6+3% |
| Eric GarcíaDEF | FC Barcelona | 2.36 | 68provisional | 1.79 | 49% | 51 | 025% 127% 221% 313% 48% 54% 6+3% |
| PedriMID | FC Barcelona | 2.11 | 76provisional | 1.78 | 50% | 61 | 022% 128% 223% 314% 47% 53% 6+2% |
| João CanceloDEF | FC Barcelona | 2.42 | 60provisional | 1.60 | 43% | 10 | 030% 126% 219% 312% 47% 53% 6+2% |
| Marc AguadoMID | Elche | 1.91 | 72provisional | 1.53 | 43% | 31 | 027% 130% 221% 312% 46% 52% 6+1% |
| Germán ValeraFWD | Elche | 1.71 | 80provisional | 1.52 | 43% | 33 | 027% 130% 222% 312% 46% 52% 6+1% |
| Marc CasadóMID | FC Barcelona | 2.41 | 55provisional | 1.48 | 40% | 33 | 034% 126% 218% 311% 46% 53% 6+2% |
| Buba SangaréDEF | Elche | 2.92 | 45provisional | 1.47 | 40% | 7 | 036% 124% 217% 311% 46% 53% 6+2% |
10 of 40 players shown, ranked by projection. Show all 40 →
Shots40 playersHighest: Lamine Yamal, 3.55 expectedshowhide
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.
| Player | Team | Model /90 | Exp. mins | Projected | Over 1.5 | n | Distribution |
|---|---|---|---|---|---|---|---|
| Lamine YamalFWD | FC Barcelona | 3.91 | 82provisional | 3.55 | 82% | 62 | 05% 112% 217% 319% 416% 512% 6+18% |
| RaphinhaFWD | FC Barcelona | 3.39 | 73provisional | 2.75 | 71% | 54 | 010% 119% 221% 319% 414% 59% 6+9% |
| Robert LewandowskiFWD | FC Barcelona | 3.28 | 67provisional | 2.43 | 63% | 50 | 016% 121% 220% 317% 412% 57% 6+7% |
| Ferran TorresFWD | FC Barcelona | 3.37 | 51provisional | 1.92 | 51% | 40 | 023% 126% 220% 314% 49% 55% 6+4% |
| Dani OlmoMID | FC Barcelona | 2.85 | 57provisional | 1.80 | 50% | 43 | 022% 128% 222% 314% 48% 54% 6+3% |
| Fermín LópezMID | FC Barcelona | 2.90 | 53provisional | 1.70 | 47% | 40 | 025% 129% 221% 313% 47% 53% 6+2% |
| André SilvaFWD | Elche | 2.50 | 60provisional | 1.66 | 46% | 22 | 029% 125% 220% 313% 47% 54% 6+2% |
| Tete MorenteFWD | Elche | 1.36 | 72provisional | 1.08 | 30% | 11 | 037% 134% 219% 38% 42% 51% 6+0% |
| Lucas CepedaFWD | Elche | 2.21 | 40provisional | 0.98 | 25% | 4 | 048% 127% 213% 37% 43% 51% 6+1% |
| Germán ValeraFWD | Elche | 1.08 | 80provisional | 0.96 | 25% | 33 | 041% 134% 217% 36% 42% 50% 6+0% |
| Grady DianganaFWD | Elche | 1.53 | 47provisional | 0.79 | 20% | 13 | 049% 131% 213% 35% 41% 5+0% |
| Roony BardghjiFWD | FC Barcelona | 2.28 | 31provisional | 0.77 | 19% | 8 | 053% 128% 212% 35% 42% 51% 6+0% |
| PedriMID | FC Barcelona | 0.77 | 76provisional | 0.65 | 14% | 61 | 054% 132% 211% 33% 41% 5+0% |
| João CanceloDEF | FC Barcelona | 0.84 | 60provisional | 0.56 | 12% | 10 | 060% 128% 29% 32% 4+1% |
| Eric GarcíaDEF | FC Barcelona | 0.70 | 68provisional | 0.53 | 11% | 51 | 060% 129% 29% 32% 4+0% |
| Gonzalo VillarMID | Elche | 0.78 | 60provisional | 0.52 | 11% | 8 | 062% 127% 28% 32% 4+0% |
| JosanFWD | Elche | 1.55 | 29provisional | 0.50 | 11% | 5 | 065% 124% 27% 32% 41% 5+0% |
| Marc CasadóMID | FC Barcelona | 0.77 | 55provisional | 0.47 | 10% | 33 | 065% 126% 27% 32% 4+0% |
| Martim NetoMID | Elche | 0.78 | 54provisional | 0.47 | 9% | 20 | 064% 127% 27% 31% 4+0% |
| Jules KoundéDEF | FC Barcelona | 0.53 | 78provisional | 0.46 | 9% | 55 | 064% 128% 27% 31% 4+0% |
| GaviMID | FC Barcelona | 0.74 | 45provisional | 0.37 | 7% | 21 | 071% 122% 25% 31% 4+0% |
| David AffengruberDEF | Elche | 0.39 | 82provisional | 0.35 | 5% | 35 | 071% 124% 25% 3+1% |
| Alejandro BaldeDEF | FC Barcelona | 0.46 | 69provisional | 0.35 | 5% | 53 | 071% 124% 25% 3+1% |
| Pedro BigasDEF | Elche | 0.41 | 74provisional | 0.34 | 5% | 25 | 072% 123% 24% 3+1% |
| Marc BernalMID | FC Barcelona | 0.74 | 41provisional | 0.34 | 6% | 12 | 073% 121% 25% 31% 4+0% |
| Frenkie de JongMID | FC Barcelona | 0.54 | 54provisional | 0.33 | 5% | 37 | 073% 121% 24% 31% 4+0% |
| Víctor ChustDEF | Elche | 0.38 | 70provisional | 0.29 | 4% | 27 | 075% 121% 24% 3+1% |
| Pau CubarsíDEF | FC Barcelona | 0.32 | 81provisional | 0.29 | 4% | 63 | 075% 121% 23% 3+0% |
| Gerard MartínDEF | FC Barcelona | 0.44 | 53provisional | 0.26 | 4% | 40 | 078% 118% 23% 3+0% |
| Héctor FortDEF | Elche | 0.66 | 35provisional | 0.26 | 4% | 7 | 079% 117% 23% 3+1% |
| Léo PétrotDEF | Elche | 0.44 | 49provisional | 0.24 | 3% | 19 | 080% 117% 23% 3+0% |
| Buba SangaréDEF | Elche | 0.44 | 45provisional | 0.22 | 3% | 7 | 081% 116% 22% 3+0% |
| John DonaldDEF | Elche | 0.61 | 31provisional | 0.21 | 3% | 7 | 083% 114% 23% 3+1% |
| Marc AguadoMID | Elche | 0.26 | 72provisional | 0.20 | 2% | 31 | 082% 116% 22% 3+0% |
| Andreas ChristensenDEF | FC Barcelona | 0.49 | 36provisional | 0.20 | 3% | 7 | 083% 114% 22% 3+0% |
| Federico RedondoMID | Elche | 0.91 | 16provisional | 0.16 | 2% | 2 | 086% 112% 22% 3+0% |
| Wojciech SzczesnyGK | FC Barcelona | 0.00 | 90provisional | 0.00 | — | 23 | 0100% 1+0% |
| Joan GarcíaGK | FC Barcelona | 0.00 | 90provisional | 0.00 | — | 30 | 0100% 1+0% |
| Iñaki PeñaGK | Elche | 0.00 | 90provisional | 0.00 | — | 16 | 0100% 1+0% |
| Matías DituroGK | Elche | 0.00 | 90provisional | 0.00 | — | 22 | 0100% 1+0% |
All 40 players shown, ranked by projection. Show fewer ↥
Fouls won40 playersHighest: Lamine Yamal, 1.85 expectedshowhide
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.
| Player | Team | Model /90 | Exp. mins | Projected | Over 1.5 | n | Distribution |
|---|---|---|---|---|---|---|---|
| Lamine YamalFWD | FC Barcelona | 2.04 | 82provisional | 1.85 | 53% | 62 | 018% 128% 225% 316% 48% 53% 6+2% |
| Germán ValeraFWD | Elche | 2.00 | 80provisional | 1.77 | 51% | 33 | 021% 128% 224% 315% 47% 53% 6+2% |
| PedriMID | FC Barcelona | 1.73 | 76provisional | 1.46 | 42% | 61 | 026% 132% 223% 312% 45% 52% 6+1% |
| Gonzalo VillarMID | Elche | 2.17 | 60provisional | 1.44 | 40% | 8 | 032% 128% 219% 311% 46% 52% 6+1% |
| Dani OlmoMID | FC Barcelona | 1.94 | 57provisional | 1.22 | 34% | 43 | 034% 132% 219% 39% 44% 51% 6+1% |
| Marc CasadóMID | FC Barcelona | 1.87 | 55provisional | 1.15 | 32% | 33 | 040% 129% 217% 39% 44% 51% 6+1% |
| André SilvaFWD | Elche | 1.61 | 60provisional | 1.07 | 29% | 22 | 041% 130% 217% 38% 43% 51% 6+0% |
| GaviMID | FC Barcelona | 2.12 | 45provisional | 1.06 | 29% | 21 | 044% 127% 216% 38% 43% 51% 6+1% |
| Alejandro BaldeDEF | FC Barcelona | 1.37 | 69provisional | 1.06 | 29% | 53 | 038% 134% 218% 37% 42% 51% 6+0% |
| Robert LewandowskiFWD | FC Barcelona | 1.32 | 67provisional | 0.98 | 26% | 50 | 042% 132% 217% 37% 42% 51% 6+0% |
10 of 40 players shown, ranked by projection. Show all 40 →
Cards40 playersHighest: Víctor Chust, 0.22 expectedshowhide
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.
| Player | Team | Model /90 | Exp. mins | Projected | Over 0.5 | n | Distribution |
|---|---|---|---|---|---|---|---|
| Víctor ChustDEF | Elche | 0.29 | 70provisional | 0.22 | 20% | 27 | 080% 117% 22% 3+0% |
| Buba SangaréDEF | Elche | 0.42 | 45provisional | 0.21 | 18% | 7 | 082% 116% 22% 3+0% |
| GaviMID | FC Barcelona | 0.39 | 45provisional | 0.19 | 17% | 21 | 083% 115% 22% 3+0% |
| David AffengruberDEF | Elche | 0.21 | 82provisional | 0.19 | 17% | 35 | 083% 116% 22% 3+0% |
| Marc BernalMID | FC Barcelona | 0.41 | 41provisional | 0.19 | 16% | 12 | 084% 114% 22% 3+0% |
| Marc CasadóMID | FC Barcelona | 0.30 | 55provisional | 0.18 | 16% | 33 | 084% 114% 22% 3+0% |
| Eric GarcíaDEF | FC Barcelona | 0.23 | 68provisional | 0.17 | 16% | 51 | 084% 114% 21% 3+0% |
| Fermín LópezMID | FC Barcelona | 0.28 | 53provisional | 0.16 | 15% | 40 | 085% 113% 21% 3+0% |
| Pedro BigasDEF | Elche | 0.20 | 74provisional | 0.16 | 15% | 25 | 085% 113% 2+1% |
| Jules KoundéDEF | FC Barcelona | 0.18 | 78provisional | 0.16 | 15% | 55 | 085% 113% 2+1% |
10 of 40 players shown, ranked by projection. Show all 40 →
Saves4 playersHighest: Joan García, 2.88 expectedshowhide
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.
| Player | Team | Model /90 | Exp. mins | Projected | Over 2.5 | n | Distribution |
|---|---|---|---|---|---|---|---|
| Joan GarcíaGK | FC Barcelona | 2.88 | 90provisional | 2.88 | 53% | 30 | 07% 117% 222% 320% 415% 59% 6+9% |
| Iñaki PeñaGK | Elche | 2.81 | 90provisional | 2.81 | 51% | 16 | 08% 118% 223% 320% 414% 59% 6+8% |
| Wojciech SzczesnyGK | FC Barcelona | 2.69 | 90provisional | 2.69 | 49% | 23 | 09% 119% 223% 320% 414% 58% 6+7% |
| Matías DituroGK | Elche | 2.67 | 90provisional | 2.67 | 48% | 22 | 09% 119% 223% 320% 414% 58% 6+7% |
1 of 7 markets have no projection for this fixture.