Atletico Madrid vs Barcelona prediction

La Liga
Ath MadridAth MadridWWWWW
Sun, 8 Nov 20268/1120:00UK13°C · Rain
BarcelonaBarcelonaWWWLW
31.5%Home winFair odds 3.17
24.2%DrawFair odds 4.13
44.3%Away winFair odds 2.26
Most likely published score1-110.4%Fair odds 9.61

MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Over 1.5 goalsBoth teams combined84.8%
Over 7.5 cornersBoth teams combined71.6%
Draw or Barcelona68.5%

Early prediction · Model generated .

Our verdict

Road2Sushi's own call on this match: the likeliest result, how confident the model is, its strongest signals and the reasons behind them.

Every percentage is a model estimate and every fair price is 1 divided by that estimate. Neither is a bookmaker offer, and a model call is not a proven edge over the market.

Model pick

Barcelona
Match winner (1X2)44.3%
Fair odds2.26
Save model pickSaved to my bets

Top signals

Goals marketOver 1.5 goals
Model estimateModel84.8%
Fair oddsFair1.18
Corners marketOver 7.5 corners
Model estimateModel71.6%
Fair oddsFair1.40
Double chance marketDraw or Barcelona
Model estimateModel68.5%
Fair oddsFair1.46

Model read

An open result market: Barcelona lead at 44.3%, with draw 24.2% and Ath Madrid at 31.5%. No result has a majority of the model probability. Over 7.5 sRead full analysisShow less

An open result market: Barcelona lead at 44.3%, with draw 24.2% and Ath Madrid at 31.5%. No result has a majority of the model probability. Over 7.5 shots on target · both teams stands out at 71.4%. It is a stronger probability signal than the other eligible reads shown here. Without a complete matching price comparison, this is an event read rather than a verified price opportunity.

Over 7.5 shots on target · both teams

Model estimate
71.4%
Fair odds
1.40

Both teams to score

Model estimate
65.6%
Fair odds
1.52

Over 2.5 goals

Model estimate
64.3%
Fair odds
1.55

Context & limits

  • Ath Madrid: 5 wins, 0 draws and 0 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • Barcelona: 4 wins, 0 draws and 1 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • The last 5 recorded meetings averaged 3.8 goals. This is a historical sample, not a forecast for this fixture.
  • Recorded season averages: Ath Madrid 6.1 and Barcelona 8.1 shots on target per game. These are team averages, not a forecast of this match total.
  • Player watch: Alexander Sørloth (Ath Madrid) records 2.02 shots on target per 90 minutes over 2939 recorded minutes. This is a recent-form rate, not a guaranteed starting place or a price advantage.
  • Some displayed estimates have limited validation. Read those percentages as a range, not a precise prediction.
  • A complete matching price comparison is unavailable for this selection, so a price edge cannot be established.
Additional match context

The model leans Barcelona at 44% when Ath Madrid host Barcelona in the La Liga on 8 November 2026. A lean, though, not a lock. The numbers that frame it: • The goals profile is lively: Over 2.5 sits at 64% with both teams to score at 66%. • For shots markets, Alexander Sørloth is the obvious watch at 2.0 on target per 90 in recent data. • Recent form reads W6 D0 L0 for Ath Madrid against W5 D0 L1 for Barcelona. History adds colour: across the last 5 meetings it is 1 wins for Ath Madrid, 0 draws and 4 for Barcelona at 3.8 goals per match. The forecast adds a wrinkle: 0.5 mm of rain around kickoff. Verdict: no bet. No bookmaker price published for this match yet.

Form & head-to-head

Recent form uses each club’s available results in their stored order. Select a W/D/L result for details.

Head-to-head figures use their own recorded sample. Where individual results are available, the figures and journal cover the same meetings. Missing results are never counted as draws.

Ath MadridAth MadridLast 5
W
Win · 2-1
W
Win · 2-1
W
Win · 1-0
W
Win · 1-0
W
Win · 2-0

5 wins · 0 draws · 0 losses

BarcelonaBarcelonaLast 5
W
Win · 3-1
W
Win · 3-0
W
Win · 5-2
L
Loss · 1-2
W
Win · 6-1

4 wins · 0 draws · 1 loss

W Win
D Draw
L Loss

Head-to-head

Last 5 meetings

1Ath MadridAth Madrid wins
0Draws
4BarcelonaBarcelona wins
3.8Average goals
Date
Home team
Score
Away team
Ath MadridAth Madrid
1 – 2
BarcelonaBarcelona
BarcelonaBarcelona
3 – 1
Ath MadridAth Madrid
Ath MadridAth Madrid
2 – 4
BarcelonaBarcelona
BarcelonaBarcelona
1 – 2
Ath MadridAth Madrid
Ath MadridAth Madrid
0 – 3
BarcelonaBarcelona

Odds: model vs bookmaker

Every price for this match in one place: the model's probabilities next to the bookmaker's, the bookmaker's prices with our gap, and the model's own fair odds for each market.

Bookmaker probabilities are de-vigged (the margin is removed) and come from one bookmaker. A gap between the model and that bookmaker is a disagreement, not a proven edge. Fair odds are 1 divided by the model probability, not a bookmaker quote.

Model vs market

Model estimates and recorded bookmaker probabilities.

1X2, Goals and Corners: Bet365 prices via API-Football, observed 4 Nov 2026, 23:23 UTC, with the bookmaker margin taken out.

A market probability is the bookmaker's own price with its margin taken out, so the outcomes of each line add up to 100%. A gap from our model is a disagreement, not a proven edge: when we tested 1X2 and goal totals on matches the model had never seen, the bookmaker's closing price was more accurate. For corners, cards and shots we have no such test.

1X2

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 31.5%
Ath Madrid

Model minus market: +6.5 pp
Market probability: 25.1%
Model probability: 24.2%
Draw

Model minus market: +2.0 pp
Market probability: 22.2%
Model probability: 44.3%
Barcelona

Model minus market: -8.4 pp
Market probability: 52.7%

Goals

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 95.9%
Over 0.5 goals

Model minus market: -1.5 pp
Market probability: 97.3%
Model probability: 4.2%
Under 0.5 goals

Model minus market: +1.5 pp
Market probability: 2.7%
Model probability: 84.8%
Over 1.5 goals

Model minus market: -5.3 pp
Market probability: 90.1%
Model probability: 15.2%
Under 1.5 goals

Model minus market: +5.3 pp
Market probability: 10.0%
Model probability: 64.3%
Over 2.5 goals

Model minus market: -9.9 pp
Market probability: 74.2%
Model probability: 35.7%
Under 2.5 goals

Model minus market: +9.9 pp
Market probability: 25.8%
Model probability: 42.3%
Over 3.5 goals

Model minus market: -10.5 pp
Market probability: 52.8%
Model probability: 57.7%
Under 3.5 goals

Model minus market: +10.5 pp
Market probability: 47.2%
Model probability: 24.1%
Over 4.5 goals

Model minus market: -9.4 pp
Market probability: 33.5%
Model probability: 75.9%
Under 4.5 goals

Model minus market: +9.4 pp
Market probability: 66.5%
Model probability: 12.0%
Over 5.5 goals

Model minus market: -7.5 pp
Market probability: 19.4%
Model probability: 88.0%
Under 5.5 goals

Model minus market: +7.5 pp
Market probability: 80.6%
Model probability: 65.6%
Both teams to score · Yes

Model minus market: -4.5 pp
Market probability: 70.1%
Model probability: 34.4%
Both teams to score · No

Model minus market: +4.5 pp
Market probability: 29.9%

Cards

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 74.3%
Over 2.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 25.7%
Under 2.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 54.7%
Over 3.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 45.3%
Under 3.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 35.6%
Over 4.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 64.4%
Under 4.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 20.7%
Over 5.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 79.3%
Under 5.5 yellow cards

Model minus market: —
Market probability: —

Corners

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 71.6%
Over 7.5 corners

Model minus market: —
Market probability: —
Model probability: 28.4%
Under 7.5 corners

Model minus market: —
Market probability: —
Model probability: 59.8%
Over 8.5 corners

Model minus market: —
Market probability: —
Model probability: 40.2%
Under 8.5 corners

Model minus market: —
Market probability: —
Model probability: 47.5%
Over 9.5 corners

Model minus market: -2.5 pp
Market probability: 50.0%
Model probability: 52.5%
Under 9.5 corners

Model minus market: +2.5 pp
Market probability: 50.0%
Model probability: 35.9%
Over 10.5 corners

Model minus market: -10.2 pp
Market probability: 46.1%
Model probability: 64.1%
Under 10.5 corners

Model minus market: +10.2 pp
Market probability: 53.9%
Model probability: 25.8%
Over 11.5 corners

Model minus market: —
Market probability: —
Model probability: 74.2%
Under 11.5 corners

Model minus market: —
Market probability: —
Model probability: 17.6%
Over 12.5 corners

Model minus market: —
Market probability: —
Model probability: 82.4%
Under 12.5 corners

Model minus market: —
Market probability: —

Shots

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 67.0%
Over 22.5 shots

Model minus market: —
Market probability: —
Model probability: 33.0%
Under 22.5 shots

Model minus market: —
Market probability: —
Model probability: 54.7%
Over 24.5 shots

Model minus market: —
Market probability: —
Model probability: 45.3%
Under 24.5 shots

Model minus market: —
Market probability: —
Model probability: 42.4%
Over 26.5 shots

Model minus market: —
Market probability: —
Model probability: 57.6%
Under 26.5 shots

Model minus market: —
Market probability: —
Model probability: 31.0%
Over 28.5 shots

Model minus market: —
Market probability: —
Model probability: 69.0%
Under 28.5 shots

Model minus market: —
Market probability: —
Model probability: 81.7%
Over 6.5 shots on target

Model minus market: —
Market probability: —
Model probability: 18.3%
Under 6.5 shots on target

Model minus market: —
Market probability: —
Model probability: 71.4%
Over 7.5 shots on target

Model minus market: —
Market probability: —
Model probability: 28.6%
Under 7.5 shots on target

Model minus market: —
Market probability: —
Model probability: 59.6%
Over 8.5 shots on target

Model minus market: —
Market probability: —
Model probability: 40.4%
Under 8.5 shots on target

Model minus market: —
Market probability: —
Model probability: 47.4%
Over 9.5 shots on target

Model minus market: —
Market probability: —
Model probability: 52.6%
Under 9.5 shots on target

Model minus market: —
Market probability: —

Model fair odds

Our published model probability as a decimal price (1 divided by probability). A fair model price, not a bookmaker quote. Only the supported 1X2 calibration pool is calibrated; other markets retain their model estimates.

Match result

Ath Madrid win3.17
Draw4.13
Barcelona win2.26
Both teams to score1.52

Goals

Over 1.5 goals1.18
Over 2.5 goals1.55
Over 3.5 goals2.36
Over 4.5 goals4.15
Ath Madrid most3.07
Barcelona most2.29

Corners

Over 7.5 corners1.40
Over 8.5 corners1.67
Over 9.5 corners2.11
Over 10.5 corners2.79
Ath Madrid most1.83
Barcelona most2.89

Cards

Over 2.5 cards1.35
Over 3.5 cards1.83
Over 4.5 cards2.81
Over 5.5 cards4.83
Ath Madrid most2.29
Barcelona most2.79

Shots on target

Over 6.5 SoT1.22
Over 7.5 SoT1.40
Over 8.5 SoT1.68
Over 9.5 SoT2.11
Ath Madrid most1.94
Barcelona most2.76

Shots

Over 22.5 shots1.49
Over 24.5 shots1.83
Over 26.5 shots2.36
Over 28.5 shots3.22
Ath Madrid most1.77
Barcelona most2.67

Fouls

Over 20.5 fouls1.80
Over 22.5 fouls2.45
Over 24.5 fouls3.61

Corners

Both teams combined.

Over 7.5 corners71.6%1.40Likely
Over 8.5 corners59.8%1.67Close call
Over 9.5 corners47.5%2.11Close call
Over 10.5 corners35.9%2.79Unlikely
Over 11.5 corners25.8%3.88Long shot
Over 12.5 corners17.6%5.67Long shot
Read context

Both teams combined

Over 7.5 corners · Likely

Over 8.5 corners · Close call

Over 9.5 corners · Close call

Over 10.5 corners · Unlikely

Over 11.5 corners · Long shot

Over 12.5 corners · Long shot

Most corners

Each team has its own model probability; these outcomes are not renormalised.

Ath Madrid

Model probability

54.6%Fair odds 1.83

Barcelona

Model probability

34.7%Fair odds 2.89

Read context

Each team has its own model probability; these outcomes are not renormalised.

Ath Madrid

Barcelona

Shots

Both teams combined.

Over 22.5 shots67.0%1.49Likely
Over 24.5 shots54.7%1.83Close call
Over 26.5 shots42.4%2.36Unlikely
Over 28.5 shots31.0%3.22Unlikely
Over 6.5 on target81.7%1.22Very likely
Over 7.5 on target71.4%1.40Likely
Over 8.5 on target59.6%1.68Close call
Over 9.5 on target47.4%2.11Close call
Read context

Both teams combined

Over 22.5 shots · Likely

Over 24.5 shots · Close call

Over 26.5 shots · Unlikely

Over 28.5 shots · Unlikely

Over 6.5 on target · Very likely

Over 7.5 on target · Likely

Over 8.5 on target · Close call

Over 9.5 on target · Close call

What the model expects

The average number of shots and shots on target each team takes in the model's own distribution for this match, the same distribution the lines above come from. It is an average, not a betting line, and it is a model estimate, not a recorded result.

Model expected shots and shots on target, Ath Madrid vs Barcelona
Model expects Shots On target
Ath Madrid 13.5 5.1
Barcelona 12.0 4.4
Both teams 25.5 9.5

Recorded shots per game

Shots per game over each side's most recent league matches with shot data, and over the most recent matches at the venue of this match: Ath Madrid at home and Barcelona away. These are recorded results, not predictions, and a missing value is never shown as zero.

Recorded shots per game over recent league matches
Last 6 matches Shots Faced On target
Ath Madrid 19.5 10.7 7.0
Barcelona 21.0 6.5 7.8
Ath Madrid at home 19.3 11.5 6.3
Barcelona away 16.8 9.2 7.3

Every shots line, home and away, by half

Totals line guide

Both teams combined.

Over 0.595.9%Over 1.584.8%Over 2.564.3%Over 3.542.3%Over 4.524.1%Over 5.512.0%
Recommended focusOver 2.564.3%

Discipline: Our price. No bookmaker price published for this match yet.

Read context

Both teams combined. Each bar uses the stored model estimate for that exact total-goals line. Missing estimates are unavailable; they are not zero.

Fair odds are the model’s own probability price, not a published bookmaker offer.

Market explorer

Model probabilities and fair odds.

Each bar is a specific Over selection for both teams combined. Its height is the model probability, on the same 0–100% scale.

Risk describes estimated likelihood, not profitability: low risk at least 62%, medium 48% to under 62%, high below 48%. Colors follow the actual estimate, even when a risk band is missing.

Up to four markets are selected from available model data, prioritising a spread of risk profiles. Fair odds are calculated from the model, not bookmaker prices: 1 divided by probability.

Scores are exact home-away outcomes from zero to five goals per team. Unavailable estimates stay blank; partial inputs are not expanded, inferred or normalised. Scores outside the matrix remain eligible for the top three.

Low riskMedium riskHigh risk

Corners

Over 7.57.5 corners, Low risk
Model probability 71.6%
Fair odds Fair 1.40
Over 8.58.5 corners, Medium risk
Model probability 59.8%
Fair odds Fair 1.67
Over 10.510.5 corners, High risk
Model probability 35.9%
Fair odds Fair 2.79

Cards

Over 2.52.5 cards, Low risk
Model probability 74.3%
Fair odds Fair 1.35
Over 3.53.5 cards, Medium risk
Model probability 54.7%
Fair odds Fair 1.83
Over 4.54.5 cards, High risk
Model probability 35.6%
Fair odds Fair 2.81

Shots

Over 22.522.5 shots, Low risk
Model probability 67.0%
Fair odds Fair 1.49
Over 24.524.5 shots, Medium risk
Model probability 54.7%
Fair odds Fair 1.83
Over 28.528.5 shots, High risk
Model probability 31.0%
Fair odds Fair 3.22

Shots on target

Over 7.57.5 shots on target, Low risk
Model probability 71.4%
Fair odds Fair 1.40
Over 8.58.5 shots on target, Medium risk
Model probability 59.6%
Fair odds Fair 1.68
Over 9.59.5 shots on target, High risk
Model probability 47.4%
Fair odds Fair 2.11
Correct score probabilitiesModel probability / Fair odds
Goal axes Home goals
Away goals 0 1 2 3 4 5
Away goals 0 0-04.2%Fair odds 24.10 1-05.1%Fair odds 19.72 2-04.2%Fair odds 23.58 3-02.2%Fair odds 46.51 4-00.8%Fair odds 121.95 5-00.3%Fair odds 400.00
Away goals 1 0-16.0%Fair odds 16.64 1-110.4%Fair odds 9.61 2-17.6%Fair odds 13.25 3-13.8%Fair odds 26.04 4-11.5%Fair odds 68.03 5-10.4%Fair odds 222.22
Away goals 2 0-25.8%Fair odds 17.24 1-28.8%Fair odds 11.31 2-26.8%Fair odds 14.81 3-23.4%Fair odds 29.07 4-21.3%Fair odds 76.34 5-20.4%Fair odds 250.00
Away goals 3 0-33.5%Fair odds 28.99 1-35.3%Fair odds 18.94 2-34.0%Fair odds 24.81 3-32.1%Fair odds 48.54 4-30.8%Fair odds 126.58 5-30.2%Fair odds 416.67
Away goals 4 0-41.6%Fair odds 64.52 1-42.4%Fair odds 42.19 2-41.8%Fair odds 55.25 3-40.9%Fair odds 107.53 4-40.4%Fair odds 285.71 5-40.1%Fair odds 909.09
Away goals 5 0-50.6%Fair odds 178.57 1-50.9%Fair odds 117.65 2-50.7%Fair odds 153.85 3-50.3%Fair odds 303.03 4-50.1%Fair odds 769.23 5-50.0%Fair odds 2,500.00

Model’s 3 most likely score outcomes

Model probability · Fair odds

1-1
Model probability10.4%
Fair odds9.61
1-2
Model probability8.8%
Fair odds11.31
2-1
Model probability7.6%
Fair odds13.25

Referee

One match referee is shown from an explicitly saved result or a fresh, identity-matched provider fixture. Previous referees are never used to guess an appointment. An API listing can change.

The referee’s totals count every completed match with this referee in our data: football-data.co.uk names the referee in English leagues, and API-Football names the referee of the same match (same teams, date and score) in every league from 2025/26. A rate needs at least 5 matches with that figure.

The team table shows each team’s published history with that same referee only. Matches, team cards per game and match cards per game are separate fields; their available samples can differ. Missing values are not zero. Cards include yellow and red cards in the current historical source.

Referee not confirmed

No referee assignment is confirmed in our data yet. We never guess one from past matches.

Season stats

2026/27 season. Recorded results, not model estimates.

Ath MadridAth Madrid
BarcelonaBarcelona

Overview

Statistic
Ath Madrid
Barcelona
League position
#2 of 20
#1 of 20
Matches played
11
11
Record W-D-L
9-1-1
10-0-1
Recent form
WWWWW
Last 5 matches
WWWLW
Last 5 matches
Current streak
W7
W1
Points per game
2.55
2.73
Record, home vs away
4-1-0
5-0-0
PPG, home vs away
2.60
3.00

PPG scale: 0–3 points per game. Each team uses the same scale independently.

Show all season statsHide season stats

Goals

Statistic
Ath Madrid
Barcelona
Goals scored per game
2.00
4.18
Goals conceded per game
0.73
1.09
Scored, home vs away
2.20
4.40
Conceded, home vs away
0.60
1.00
1st half goals per game
0.55
2.00
2nd half goals per game
1.45
2.18
xG for per game
1.88
3.75
xG against per game
1.24
1.12

Scale: 0–5 goals or expected goals (xG) per game. Each team uses the same scale independently.

Shooting

Statistic
Ath Madrid
Barcelona
Shots per game
17.4
20.2
Shots faced per game
11.0
7.1
Shots on target per game
6.1
8.1
1st half shots per game
7.6
9.2
2nd half shots per game
9.3
11.0

Scale: 0–21 shots per game. Each team uses the same scale independently.

Corners & discipline

Statistic
Ath Madrid
Barcelona
Corners won per game
5.7
6.9
Fouls per game
11.6
10.6

0–10 corners per game; 0–20 fouls per game Each team uses the same scale independently.

Goal rates

Statistic
Ath Madrid
Barcelona
Over 2.5 rate
63.6%
90.9%
BTTS rate
36.4%
63.6%
Clean sheets
54.5%
36.4%

Scale: 0–100% of recorded matches, not model estimates. Each team uses the same scale independently.

League averages this season: 3.01 goals per match · Over 2.5 in 57.8% · BTTS in 57.8%. Full league tables & stats →

First half / second half

Averages per game in this season’s league matches, split at half-time. Games is the number of each team’s matches with verified half data for that row; below five matches the row stays blank, and a missing value is never a zero.

Corners, shots on target and yellow cards per half come from the data provider’s half-by-half match statistics and are only used when the two halves add up to the full-time count. Cards are split by the minute they were shown, and first-half stoppage time counts as the first half. These are recorded results, not predictions.

In the Premier League, La Liga, Bundesliga, Serie A and Ligue 1 the shots per half come from a different source than the match shot totals, so the two can differ slightly.

Ath MadridAth Madrid
Ath Madrid: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.55 1.45 11
Goals concededConceded 0.09 0.64 11
Shots 7.6 9.3 10
Shots facedOpp. shots 5.1 6.3 10
Shots on targetOn target 1.7 4.4 11
Shots on target facedOpp. on target 1.6 1.8 11
Corners wonCorners 2.5 3.3 11
Corners concededOpp. corners 1.6 1.5 11
Yellow cardsYellows 0.9 1.3 7
Opponent yellow cardsOpp. yellows 0.3 1.6 7
BarcelonaBarcelona
Barcelona: season average per game by half
Per game 1H 2H Games
Goals scoredScored 2.00 2.18 11
Goals concededConceded 0.45 0.64 11
Shots 9.2 11.0 11
Shots facedOpp. shots 3.0 4.3 11
Shots on targetOn target 4.0 4.1 11
Shots on target facedOpp. on target 1.5 1.8 11
Corners wonCorners 3.6 3.4 11
Corners concededOpp. corners 1.6 1.3 11
Yellow cardsYellows 0.6 1.0 11
Opponent yellow cardsOpp. yellows 0.7 1.3 11

Players to watch

Published player-market probabilities, shown in kickoff order. Model estimates, not confirmed lineups.

How our football predictions work →

A watch list, not a confirmed lineup.

Ath MadridAth Madrid (3)
Alexander Sørloth
Watch list
Prediction markets
Model %
Fair odds
Save
To score
37.9%
2.64
1+ shot on target
66.1%
1.51
2+ shots
60.3%
1.66
Per 90 minutes (recent averages)
Shots3.80
On target2.02
Goals0.89
Julián Álvarez
Watch list
Prediction markets
Model %
Fair odds
Save
To score
31.5%
3.17
1+ shot on target
63.9%
1.56
2+ shots
59.8%
1.67
Per 90 minutes (recent averages)
Shots2.71
On target1.37
Goals0.51
Jonathan Christian David
Watch list
Prediction markets
Model %
Fair odds
Save
To score
24.3%
4.12
1+ shot on target
52.9%
1.89
2+ shots
50.3%
1.99
Per 90 minutes (recent averages)
Shots2.42
On target1.08
Goals0.40
BarcelonaBarcelona (3)
Raphinha
Watch list
Prediction markets
Model %
Fair odds
Save
To score
50.1%
2.00
1+ shot on target
71.3%
1.40
2+ shots
82.6%
1.21
Per 90 minutes (recent averages)
Shots3.97
On target1.56
Goals0.87
Gabriel Jesus
Watch list
Prediction markets
Model %
Fair odds
Save
To score
25.9%
3.86
1+ shot on target
46.9%
2.13
2+ shots
39.7%
2.52
Per 90 minutes (recent averages)
Shots3.37
On target1.56
Goals0.74
Lamine Yamal
Watch list
Prediction markets
Model %
Fair odds
Save
To score
38.4%
2.60
1+ shot on target
75.3%
1.33
2+ shots
94.0%
1.06
Per 90 minutes (recent averages)
Shots4.95
On target1.53
Goals0.53
All model outcomes · full market spectrum & player markets

Shots

Over 22.5 67.0% Over 24.5 54.7% Over 26.5 42.4% Over 28.5 31.0%
Most: Ath Madrid 56.4% Most: Barcelona 37.5%
Ath Madrid Over 10.5 72.8%
Ath Madrid Over 12.5 56.2%
Ath Madrid Over 14.5 39.6% Barcelona Over 10.5 60.8%
Barcelona Over 12.5 42.7%
Barcelona Over 14.5 27.0%

Shots on target

Over 6.5 81.7% Over 7.5 71.4% Over 8.5 59.6% Over 9.5 47.4%
Most: Ath Madrid 51.6% Most: Barcelona 36.2%
Ath Madrid Over 3.5 72.5%
Ath Madrid Over 4.5 55.9%
Ath Madrid Over 5.5 39.6% Barcelona Over 3.5 63.0%
Barcelona Over 4.5 44.9%
Barcelona Over 5.5 29.0%

Cards

Over 2.5 74.3% Over 3.5 54.7% Over 4.5 35.6% Over 5.5 20.7%
Most: Ath Madrid 43.6% Most: Barcelona 35.9%
Ath Madrid Over 1.5 60.3%
Ath Madrid Over 2.5 34.0% Barcelona Over 1.5 54.9%
Barcelona Over 2.5 28.6%

Ath Madrid: players to watch (recent-form projection)

Each number is the player’s recent rate per 90 minutes, scaled to how long we expect them to play. Only players in this season’s squad appear. It is a projection from recent form, not a confirmed lineup: nobody has announced the team yet.

Player Shots/90 SoT/90 Goals/90 1+ SoT 2+ shots To score
Alexander Sørloth 3.8 2.02 0.89 66.1% 60.3% 37.9%
Julián Álvarez 2.71 1.37 0.51 63.9% 59.8% 31.5%
Jonathan Christian David 2.42 1.08 0.4 52.9% 50.3% 24.3%
Ademola Lookman 2.82 0.84 0.37 46.2% 61.6% 23.9%
Lee Kang-In 2.45 0.83 0.19 41.3% 46.6% 11.5%

Barcelona: players to watch (recent-form projection)

Each number is the player’s recent rate per 90 minutes, scaled to how long we expect them to play. Only players in this season’s squad appear. It is a projection from recent form, not a confirmed lineup: nobody has announced the team yet.

Player Shots/90 SoT/90 Goals/90 1+ SoT 2+ shots To score
Raphinha 3.97 1.56 0.87 71.3% 82.6% 50.1%
Gabriel Jesus 3.37 1.56 0.74 46.9% 39.7% 25.9%
Lamine Yamal 4.95 1.53 0.53 75.3% 94.0% 38.4%
Fermín López 3.1 1.21 0.43 53.9% 59.0% 24.1%
Karim Adeyemi 2.8 1.14 0.46 44.8% 42.8% 21.3%

Clean sheet & win to nil

Worked out from the scoreline grid above: a clean sheet is every scoreline where the other side fails to score. It is the model’s own percentage, scored against the result afterwards, and it is not a tip.

Ath Madrid clean sheet 16.7%
Barcelona clean sheet 21.5%
Ath Madrid win to nil 12.5%
Barcelona win to nil 17.4%

Full market spectrum · model probabilities

The model’s own percentages, with no odds attached. The smaller markets are here so you can see everything we hold a number on, not because we claim an advantage in them. The colour says how close our percentages have landed to reality on matches the model had never seen. This is the raw model spectrum. Its match-result marginal can differ from the published 1X2 above; it does not replace the saved prediction.

Match result & goals calibrated
1×2
home 32.6% draw 23.8% away 43.6%
double_chance
1X 56.4% 12 76.2% X2 67.4%
dnb
home 42.8% away 57.2%
btts
yes 65.6% no 34.4%
clean_sheet
home 16.8% away 21.7%
win_to_nil
home 12.6% away 17.6%
winning_margin
home_by_1 17.0% home_by_2 9.7% home_by_3plus 6.0%
away_by_1 20.0% away_by_2 13.3% away_by_3plus 10.4%
correct_score
0-0 4.2% 0-1 6.0% 0-2 5.8%
0-3 3.5% 0-4 1.6% 0-5 0.6%
1-0 5.1% 1-1 10.4% 1-2 8.8%
1-3 5.3% 1-4 2.4% 1-5 0.9%
2-0 4.2% 2-1 7.6% 2-2 6.8%
2-3 4.0% 2-4 1.8% 2-5 0.7%
3-0 2.2% 3-1 3.8% 3-2 3.4%
3-3 2.1% 3-4 0.9% 3-5 0.3%
4-0 0.8% 4-1 1.5% 4-2 1.3%
4-3 0.8% 4-4 0.4% 4-5 0.1%
5-0 0.3% 5-1 0.4% 5-2 0.4%
5-3 0.2% 5-4 0.1% 5-5 0.0%
other 1.5%
likeliest_score
h 100.0% a 100.0% p 10.4%
Goals: totals / handicap / exact calibrated
total
over_0.5 95.9% under_0.5 4.2% over_1.5 84.8%
under_1.5 15.2% over_2.5 64.3% under_2.5 35.7%
over_3.5 42.3% under_3.5 57.7% over_4.5 24.1%
under_4.5 75.9% over_5.5 12.0% under_5.5 88.0%
odd_even
odd 48.9% even 51.1%
team_home
over_0.5 78.3% under_0.5 21.7% over_1.5 45.1%
under_1.5 54.9% over_2.5 19.8% under_2.5 80.2%
team_away
over_0.5 83.2% under_0.5 16.8% over_1.5 53.4%
under_1.5 46.6% over_2.5 26.7% under_2.5 73.3%
most
home 32.6% draw 23.8% away 43.6%
handicap
home_-2.5 6.0% away_+2.5 94.0% home_-1.5 15.7%
away_+1.5 84.4% home_-0.5 32.6% away_+0.5 67.4%
home_+0.5 56.4% away_-0.5 43.6% home_+1.5 76.3%
away_-1.5 23.7% home_+2.5 89.6% away_-2.5 10.4%
total_exact
exact_0 4.2% exact_1 11.1% exact_2 20.4%
exact_3 22.0% exact_4 18.2% exact_5 12.1%
exact_6 6.7% exact_7plus 5.3%
First half range, not a point
1×2
home 25.5% draw 38.2% away 36.4%
total
over_0.5 75.2% under_0.5 24.8% over_1.5 40.6%
under_1.5 59.4% over_2.5 16.5% under_2.5 83.5%
btts
yes 24.8% no 75.3%
total_exact
exact_0 24.8% exact_1 34.6% exact_2 24.1%
exact_3 11.2% exact_4plus 5.3%
Second half range, not a point
1×2
home 31.5% draw 31.9% away 36.6%
total
over_0.5 84.9% under_0.5 15.1% over_1.5 56.3%
under_1.5 43.7% over_2.5 29.3% under_2.5 70.7%
btts
yes 37.3% no 62.7%
Half-time / full-time range, not a point
H/H 17.8% H/D 4.9% H/A 2.9%
D/H 12.0% D/D 12.2% D/A 14.0%
A/H 3.0% A/D 5.8% A/A 27.6%
Corners range, not a point
total
over_7.5 71.6% under_7.5 28.4% over_8.5 59.8%
under_8.5 40.2% over_9.5 47.5% under_9.5 52.5%
over_10.5 35.9% under_10.5 64.1% over_11.5 25.8%
under_11.5 74.2% over_12.5 17.6% under_12.5 82.4%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 72.8% under_3.5 27.3% over_4.5 57.3%
under_4.5 42.8% over_5.5 41.9% under_5.5 58.1%
team_away
over_3.5 59.4% under_3.5 40.6% over_4.5 42.1%
under_4.5 57.9% over_5.5 27.4% under_5.5 72.6%
most
home 54.6% draw 10.8% away 34.7%
handicap
home_-3.5 23.7% away_+3.5 76.3% home_-1.5 43.5%
away_+1.5 56.6% home_-0.5 54.6% away_+0.5 45.5%
home_+0.5 65.3% away_-0.5 34.7% home_+1.5 75.0%
away_-1.5 25.0% home_+3.5 89.0% away_-3.5 11.0%
Shots range, not a point
total
over_22.5 67.0% under_22.5 33.0% over_24.5 54.7%
under_24.5 45.3% over_26.5 42.4% under_26.5 57.6%
over_28.5 31.0% under_28.5 69.0%
odd_even
odd 50.0% even 50.0%
team_home
over_10.5 72.8% under_10.5 27.3% over_12.5 56.2%
under_12.5 43.8% over_14.5 39.6% under_14.5 60.4%
team_away
over_10.5 60.8% under_10.5 39.2% over_12.5 42.7%
under_12.5 57.3% over_14.5 27.0% under_14.5 73.0%
most
home 56.4% draw 6.1% away 37.5%
handicap
home_-4.5 31.9% away_+4.5 68.2% home_-2.5 43.8%
away_+2.5 56.2% home_-0.5 56.4% away_+0.5 43.6%
home_+0.5 62.5% away_-0.5 37.5% home_+2.5 73.7%
away_-2.5 26.3% home_+4.5 82.9% away_-4.5 17.1%
Shots on target range, not a point
total
over_6.5 81.7% under_6.5 18.3% over_7.5 71.4%
under_7.5 28.6% over_8.5 59.6% under_8.5 40.4%
over_9.5 47.4% under_9.5 52.6%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 72.5% under_3.5 27.5% over_4.5 55.9%
under_4.5 44.1% over_5.5 39.6% under_5.5 60.4%
team_away
over_3.5 63.0% under_3.5 37.0% over_4.5 44.9%
under_4.5 55.1% over_5.5 29.0% under_5.5 71.0%
most
home 51.6% draw 12.2% away 36.2%
handicap
home_-2.5 28.1% away_+2.5 71.9% home_-0.5 51.6%
away_+0.5 48.4% home_+0.5 63.8% away_-0.5 36.2%
home_+2.5 83.5% away_-2.5 16.5%
Cards calibrated
total
over_2.5 74.3% under_2.5 25.7% over_3.5 54.7%
under_3.5 45.3% over_4.5 35.6% under_4.5 64.4%
over_5.5 20.7% under_5.5 79.3%
odd_even
odd 50.0% even 50.0%
team_home
over_1.5 60.3% under_1.5 39.7% over_2.5 34.0%
under_2.5 66.0%
team_away
over_1.5 54.9% under_1.5 45.2% over_2.5 28.6%
under_2.5 71.4%
most
home 43.6% draw 20.5% away 35.9%
handicap
home_-1.5 25.1% away_+1.5 75.0% home_-0.5 43.6%
away_+0.5 56.4% home_+0.5 64.1% away_-0.5 35.9%
home_+1.5 80.9% away_-1.5 19.1%
Fouls calibrated
total
over_20.5 55.6% under_20.5 44.4% over_22.5 40.8%
under_22.5 59.2% over_24.5 27.7% under_24.5 72.3%
odd_even
odd 50.0% even 50.0%
team_home
over_9.5 64.8% under_9.5 35.2% over_11.5 44.2%
under_11.5 55.9% over_13.5 26.2% under_13.5 73.8%
team_away
over_9.5 55.9% under_9.5 44.1% over_11.5 34.9%
under_11.5 65.1% over_13.5 18.8% under_13.5 81.2%
most
home 52.8% draw 7.5% away 39.7%
handicap
home_-3.5 31.0% away_+3.5 69.0% home_-0.5 52.8%
away_+0.5 47.2% home_+2.5 73.9% away_-2.5 26.1%
Red card range, not a point
any
yes 14.6% no 85.4%
home
yes 11.3% no 88.7%
away
yes 3.7% no 96.3%
Method, limits & performance

How this works (honestly)

We are transparent about our method, our limits and how we measure performance.

What we use

Results, odds & closing prices, xG, shots, lineups, referee and schedule load.

Our method

Dixon-Coles + an xG strength model + champion/challenger selection + probability calibration + a trust gate.

What we don’t do

We do not beat the sharp market. The value is honest probabilities, No-bet calls and CLV.

Performance snapshot

Top-pick hit rate 47.8% (reliability, not edge). Calibration error 0.0102 (56206 matches).

Not financial advice. No model beats the sharp closing market on public data. The value here is honest probabilities, No-bet calls, and CLV history.

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