Sporting CP 1-2 Academico Viseu: result, our prediction

Primeira Liga
Sp LisbonSp LisbonWWDDW
Full time1-2Sun, 25 Oct 202625/1020:30UK
Academico ViseuAcademicoLWWWW
83.7%Home winFair odds 1.19
11.4%DrawFair odds 8.77
4.9%Away winFair odds 20.41
Pre-match: Most likely published score2-012.2%Fair odds 8.20

Pre-match model estimates · MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Sp Lisbon or draw95.1%
Over 1.5 goalsBoth teams combined87.4%
Over 2.5 goalsBoth teams combined69.2%

Prediction snapshot · Model generated .

Post-match analysis

Judged against the prediction this page published before kickoff. Right or wrong, it stays on the record.

A call is the side our published probability favoured. If we leaned towards under and three goals went in, that counts as a miss.

Sp LisbonSp Lisbon
1-2FT
Academico ViseuAcademico

Match data

Match data: Sp Lisbon and Academico Viseu
Sp LisbonSp Lisbon Statistic Academico ViseuAcademico
1 Goals 2
0 Goals, 1st half 1
1 Goals, 2nd half 1

RefereeMiguel Bertolo Nogueira

The result, on the record

Recorded tally 5 of 7 published calls on this match were right.

Published calls · recorded grading

# Market Our pick Our chance Recorded grade
1 Match result Pick: Sp Lisbon Chance: 83.7% Wrong
2 Total goals 2.5 Pick: Over 2.5 Chance: 69.2% Correct3 goals
3 Total goals 1.5 Pick: Over 1.5 Chance: 87.4% Correct3 goals
4 Total goals 3.5 Pick: Under 3.5 Chance: 52.1% Correct3 goals
# Market Our pick Our chance Recorded grade
5 Both teams to score Pick: No Chance: 55.9% Wrong
6 First-half goal Pick: Yes Chance: 77.7% Correct
7 Second-half goal Pick: Yes Chance: 82.6% Correct

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

Sp Lisbon
Match winner (1X2)83.7%
Fair odds1.19
Save model pickSaved to my bets

Top signals

Double chance marketSp Lisbon or draw
Model estimateModel95.1%
Fair oddsFair1.05
Goals marketOver 1.5 goals
Model estimateModel87.4%
Fair oddsFair1.14
Corners marketOver 7.5 corners
Model estimateModel67.2%
Fair oddsFair1.49

Model read

This match has been played. This is a historical snapshot of the pre-match estimates, not a current price opportunity. Sp Lisbon are strong favouritesRead full analysisShow less

This match has been played. This is a historical snapshot of the pre-match estimates, not a current price opportunity. Sp Lisbon are strong favourites at 83.7%. The remaining 16.3% covers a draw or an opponent win; favouritism alone does not establish value at the offered price. Sp Lisbon win has a 83.7% model estimate, but the matching market is close at 79.3%. There is no clear model-price separation on this selection. The chance of the event and the attractiveness of its price are different questions. The overall match assessment has not cleared the model's betting filters; this market read does not override that decision.

Sp Lisbon win

Model estimate
83.7%
Matching market
79.3%
Difference
+4.4 pp
Fair odds
1.19
Recorded odds
1.23

Margin-adjusted comparison for this selection. The difference is in percentage points, not a proven return.

Over 3.5 cards · both teams

Model estimate
69.9%
Fair odds
1.43

Over 2.5 goals

Model estimate
69.2%
Matching market
70.5%
Difference
-1.3 pp
Fair odds
1.44
Recorded odds
1.37

Margin-adjusted comparison for this selection. The difference is in percentage points, not a proven return.

Context & limits

  • Sp Lisbon: 3 wins, 2 draws and 0 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • Academico Viseu: 4 wins, 0 draws and 1 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • Prices are recorded observations. This view does not verify that the same price is still available now.
Additional match context

"When model and market disagree on Sp Lisbon, that gap is the story." The numbers leave little room for romance here: Sp Lisbon at 84% against Academico Viseu, Primeira Liga, 25 October 2026. Our number sits above the market's 79% for Sp Lisbon. The gap itself is information. Everything in the shot data points to goals, 69% for Over 2.5 with both teams to score at 44%. As a promoted side, Academico Viseu carry exactly the structural uncertainty our priors were built for. The run in: Sp Lisbon arrive W4 D2 L0, Academico Viseu W4 D1 L1. The engine passes on this one (outside trust zone (model prob 0.84, zone (0.45, 0.7))).

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.

Sp LisbonSp LisbonLast 5
W
Win · 4-0
W
Win · 2-0
D
Draw · 1-1
D
Draw · 2-2
W
Win · 3-1

3 wins · 2 draws · 0 losses

Academico ViseuAcademicoLast 5
L
Loss · 0-3
W
Win · 1-0
W
Win · 2-1
W
Win · 2-0
W
Win · 2-1

4 wins · 0 draws · 1 loss

W Win
D Draw
L Loss

Head-to-head

No recorded head-to-head results available.

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

Pre-match estimates, recorded before the match.

1X2, Goals and Corners: Bet365 prices via API-Football, observed 25 Oct 2026, 16:55 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.

Every market price shown was recorded before kick-off.

1X2

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 83.7%
Sp Lisbon

Model minus market: +4.9 pp
Market probability: 78.8%
Model probability: 11.4%
Draw

Model minus market: -2.6 pp
Market probability: 14.0%
Model probability: 4.9%
Academico Viseu

Model minus market: -2.3 pp
Market probability: 7.2%

Goals

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 96.9%
Over 0.5 goals

Model minus market: -0.4 pp
Market probability: 97.3%
Model probability: 3.1%
Under 0.5 goals

Model minus market: +0.4 pp
Market probability: 2.7%
Model probability: 87.4%
Over 1.5 goals

Model minus market: -0.9 pp
Market probability: 88.3%
Model probability: 12.6%
Under 1.5 goals

Model minus market: +0.9 pp
Market probability: 11.7%
Model probability: 69.2%
Over 2.5 goals

Model minus market: -1.4 pp
Market probability: 70.6%
Model probability: 30.8%
Under 2.5 goals

Model minus market: +1.4 pp
Market probability: 29.4%
Model probability: 47.9%
Over 3.5 goals

Model minus market: -2.1 pp
Market probability: 50.0%
Model probability: 52.1%
Under 3.5 goals

Model minus market: +2.1 pp
Market probability: 50.0%
Model probability: 28.9%
Over 4.5 goals

Model minus market: -1.0 pp
Market probability: 29.9%
Model probability: 71.1%
Under 4.5 goals

Model minus market: +1.0 pp
Market probability: 70.1%
Model probability: 15.3%
Over 5.5 goals

Model minus market: +0.1 pp
Market probability: 15.2%
Model probability: 84.7%
Under 5.5 goals

Model minus market: -0.1 pp
Market probability: 84.8%
Model probability: 44.1%
Both teams to score · Yes

Model minus market: -9.5 pp
Market probability: 53.6%
Model probability: 55.9%
Both teams to score · No

Model minus market: +9.5 pp
Market probability: 46.4%

Cards

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 85.3%
Over 2.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 14.7%
Under 2.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 69.9%
Over 3.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 30.1%
Under 3.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 51.5%
Over 4.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 48.5%
Under 4.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 34.1%
Over 5.5 yellow cards

Model minus market: —
Market probability: —
Model probability: 65.9%
Under 5.5 yellow cards

Model minus market: —
Market probability: —

Corners

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 67.2%
Over 7.5 corners

Model minus market: —
Market probability: —
Model probability: 32.8%
Under 7.5 corners

Model minus market: —
Market probability: —
Model probability: 55.7%
Over 8.5 corners

Model minus market: —
Market probability: —
Model probability: 44.3%
Under 8.5 corners

Model minus market: —
Market probability: —
Model probability: 44.3%
Over 9.5 corners

Model minus market: -5.8 pp
Market probability: 50.0%
Model probability: 55.8%
Under 9.5 corners

Model minus market: +5.8 pp
Market probability: 50.0%
Model probability: 33.7%
Over 10.5 corners

Model minus market: —
Market probability: —
Model probability: 66.3%
Under 10.5 corners

Model minus market: —
Market probability: —
Model probability: 24.7%
Over 11.5 corners

Model minus market: —
Market probability: —
Model probability: 75.3%
Under 11.5 corners

Model minus market: —
Market probability: —
Model probability: 17.4%
Over 12.5 corners

Model minus market: —
Market probability: —
Model probability: 82.6%
Under 12.5 corners

Model minus market: —
Market probability: —

Shots

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 59.1%
Over 22.5 shots

Model minus market: —
Market probability: —
Model probability: 40.9%
Under 22.5 shots

Model minus market: —
Market probability: —
Model probability: 46.9%
Over 24.5 shots

Model minus market: —
Market probability: —
Model probability: 53.1%
Under 24.5 shots

Model minus market: —
Market probability: —
Model probability: 35.4%
Over 26.5 shots

Model minus market: —
Market probability: —
Model probability: 64.6%
Under 26.5 shots

Model minus market: —
Market probability: —
Model probability: 25.2%
Over 28.5 shots

Model minus market: —
Market probability: —
Model probability: 74.8%
Under 28.5 shots

Model minus market: —
Market probability: —
Model probability: 74.8%
Over 6.5 shots on target

Model minus market: —
Market probability: —
Model probability: 25.2%
Under 6.5 shots on target

Model minus market: —
Market probability: —
Model probability: 63.0%
Over 7.5 shots on target

Model minus market: —
Market probability: —
Model probability: 37.0%
Under 7.5 shots on target

Model minus market: —
Market probability: —
Model probability: 50.6%
Over 8.5 shots on target

Model minus market: —
Market probability: —
Model probability: 49.4%
Under 8.5 shots on target

Model minus market: —
Market probability: —
Model probability: 38.6%
Over 9.5 shots on target

Model minus market: —
Market probability: —
Model probability: 61.4%
Under 9.5 shots on target

Model minus market: —
Market probability: —

Bookmaker odds

Real bookmaker price (APIF:Pinnacle:4) next to our model fair price. Bookmaker prices include the bookmaker margin, so our margin-free fair price usually looks longer. We do not claim to beat the closing market.

Gap is our probability minus the probability the bookmaker price implies (1 divided by the price), in percentage points. Because the price includes the margin, most gaps are negative. Model highlights are outcomes where our probability is at least 15 points higher. A gap is a disagreement, not a proven edge.

After full time these are the stored pre-match prices, kept for the record. They are not current prices, so no outcome is highlighted.

Match result · 1X2

Sp Lisbon winBookmaker1.23Model fair1.19Model minus bookmaker probability, percentage points: +2.3 pp
DrawBookmaker7.00Model fair8.77Model minus bookmaker probability, percentage points: -2.8 pp
Academico Viseu winBookmaker11.29Model fair20.41Model minus bookmaker probability, percentage points: -3.9 pp

Goals · 2.5

Over 2.5 goalsBookmaker1.37Model fair1.44Model minus bookmaker probability, percentage points: -3.7 pp
Under 2.5 goalsBookmaker3.13Model fair3.25Model minus bookmaker probability, percentage points: -1.1 pp

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

Sp Lisbon win1.19
Draw8.77
Academico Viseu win20.41
Both teams to score2.27

Goals

Over 1.5 goals1.14
Over 2.5 goals1.44
Over 3.5 goals2.09
Over 4.5 goals3.46
Sp Lisbon most1.19
Academico Viseu most20.58

Corners

Over 7.5 corners1.49
Over 8.5 corners1.80
Over 9.5 corners2.26
Over 10.5 corners2.97
Sp Lisbon most1.68
Academico Viseu most3.26

Cards

Over 2.5 cards1.17
Over 3.5 cards1.43
Over 4.5 cards1.94
Over 5.5 cards2.93
Sp Lisbon most3.34
Academico Viseu most1.93

Shots on target

Over 6.5 SoT1.34
Over 7.5 SoT1.59
Over 8.5 SoT1.98
Over 9.5 SoT2.59
Sp Lisbon most1.55
Academico Viseu most4.11

Shots

Over 22.5 shots1.69
Over 24.5 shots2.13
Over 26.5 shots2.83
Over 28.5 shots3.97
Sp Lisbon most1.47
Academico Viseu most3.75

Fouls

Over 20.5 fouls1.23
Over 22.5 fouls1.41
Over 24.5 fouls1.71

Corners

Both teams combined.

Over 7.5 corners67.2%1.49Likely
Over 8.5 corners55.7%1.80Close call
Over 9.5 corners44.3%2.26Unlikely
Over 10.5 corners33.7%2.97Unlikely
Over 11.5 corners24.7%4.05Long shot
Over 12.5 corners17.4%5.76Long shot
Read context

Both teams combined

Over 7.5 corners · Likely

Over 8.5 corners · Close call

Over 9.5 corners · Unlikely

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.

Sp Lisbon

Model probability

59.4%Fair odds 1.68

Academico Viseu

Model probability

30.7%Fair odds 3.26

Read context

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

Sp Lisbon

Academico Viseu

Shots

Both teams combined.

Over 22.5 shots59.1%1.69Close call
Over 24.5 shots46.9%2.13Close call
Over 26.5 shots35.4%2.83Unlikely
Over 28.5 shots25.2%3.97Long shot
Over 6.5 on target74.8%1.34Likely
Over 7.5 on target63.0%1.59Likely
Over 8.5 on target50.6%1.98Close call
Over 9.5 on target38.6%2.59Unlikely
Read context

Both teams combined

Over 22.5 shots · Close call

Over 24.5 shots · Close call

Over 26.5 shots · Unlikely

Over 28.5 shots · Long shot

Over 6.5 on target · Likely

Over 7.5 on target · Likely

Over 8.5 on target · Close call

Over 9.5 on target · Unlikely

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, Sp Lisbon vs Academico Viseu
Model expects Shots On target
Sp Lisbon 13.9 5.3
Academico Viseu 10.4 3.5
Both teams 24.3 8.8

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: Sp Lisbon at home and Academico Viseu 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
Sp Lisbon 13.8 9.0 5.5
Academico Viseu 10.3 17.0 3.8
Sp Lisbon at home 13.0 10.5 6.0

Totals line guide

Both teams combined.

Over 0.596.9%Over 1.587.4%Over 2.569.2%Over 3.547.9%Over 4.528.9%Over 5.515.3%
Our stored model focusOver 2.569.2%

The stored model call was Fairly priced. The match has been played, so this is a historical snapshot: the graded result is below.

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

Cards

Over 3.53.5 cards, Low risk
Model probability 69.9%
Fair odds Fair 1.43
Over 4.54.5 cards, Medium risk
Model probability 51.5%
Fair odds Fair 1.94
Over 5.55.5 cards, High risk
Model probability 34.1%
Fair odds Fair 2.93

Corners

Over 7.57.5 corners, Low risk
Model probability 67.2%
Fair odds Fair 1.49
Over 8.58.5 corners, Medium risk
Model probability 55.7%
Fair odds Fair 1.80
Over 10.510.5 corners, High risk
Model probability 33.7%
Fair odds Fair 2.97

Shots on target

Over 6.56.5 shots on target, Low risk
Model probability 74.8%
Fair odds Fair 1.34
Over 8.58.5 shots on target, Medium risk
Model probability 50.6%
Fair odds Fair 1.98
Over 9.59.5 shots on target, High risk
Model probability 38.6%
Fair odds Fair 2.59

Goals

Over 0.50.5 goals, Low risk
Model probability 96.9%
Fair odds Fair 1.03
Over 2.52.5 goals, Low risk
Model probability 69.2%
Fair odds Fair 1.44
Over 4.54.5 goals, High risk
Model probability 28.9%
Fair odds Fair 3.46
Correct score probabilitiesModel probability / Fair odds
Goal axes Home goals
Away goals 0 1 2 3 4 5
Away goals 0 0-03.1%Fair odds 32.47 1-08.0%Fair odds 12.45 2-012.2%Fair odds 8.20 3-012.0%Fair odds 8.35 4-08.9%Fair odds 11.29 5-05.3%Fair odds 19.05
Away goals 1 0-11.5%Fair odds 66.67 1-15.4%Fair odds 18.45 2-17.6%Fair odds 13.18 3-17.4%Fair odds 13.42 4-15.5%Fair odds 18.18 5-13.3%Fair odds 30.67
Away goals 2 0-20.5%Fair odds 181.82 1-21.6%Fair odds 62.11 2-22.4%Fair odds 42.37 3-22.3%Fair odds 43.10 4-21.7%Fair odds 58.48 5-21.0%Fair odds 99.01
Away goals 3 0-30.1%Fair odds 909.09 1-30.3%Fair odds 303.03 2-30.5%Fair odds 204.08 3-30.5%Fair odds 208.33 4-30.4%Fair odds 285.71 5-30.2%Fair odds 476.19
Away goals 4 0-40.0%Fair odds 5,000.00 1-40.1%Fair odds 2,000.00 2-40.1%Fair odds 1,250.00 3-40.1%Fair odds 1,428.57 4-40.1%Fair odds 1,666.67 5-40.0%Fair odds 3,333.33
Away goals 5 0-50.0%Fair odds · 1-50.0%Fair odds 10,000.00 2-50.0%Fair odds 10,000.00 3-50.0%Fair odds 10,000.00 4-50.0%Fair odds 10,000.00 5-50.0%Fair odds ·

Model’s 3 most likely score outcomes

Model probability · Fair odds

2-0
Model probability12.2%
Fair odds8.20
3-0
Model probability12.0%
Fair odds8.35
4-0
Model probability8.9%
Fair odds11.29

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.

Miguel Bertolo Nogueira

Recorded match referee.

No completed matches with this referee in our data yet.

Team history with this referee
Team
Sp Lisbon Not available Not available Not available
Academico Viseu Not available Not available Not available

No matching history for this referee is available for one or both teams.

Season stats

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

Sp LisbonSp Lisbon
Academico ViseuAcademico Viseu

Overview

Statistic
Sp Lisbon
Academico Viseu
League position
#3 of 18
#6 of 18
Matches played
8
8
Record W-D-L
5-3-0
4-2-2
Recent form
WWDDW
Last 5 matches
LWWWW
Last 5 matches
Current streak
W1
W4
Points per game
2.25
1.75
Record, home vs away
3-1-0
2-2-0
PPG, home vs away
2.50
2.00

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

Show all season statsHide season stats

Goals

Statistic
Sp Lisbon
Academico Viseu
Goals scored per game
2.50
1.38
Goals conceded per game
1.12
1.25
Scored, home vs away
2.50
1.75
Conceded, home vs away
1.25
1.00
1st half goals per game
1.38
0.71
2nd half goals per game
1.12
0.57

Scale: 0–3 goals or expected goals (xG) per game. Each team uses the same scale independently.

Shooting

Statistic
Sp Lisbon
Academico Viseu
Shots per game
13.6
9.2
Shots faced per game
7.8
17.0
Shots on target per game
6.6
3.0

Scale: 0–20 shots per game. Each team uses the same scale independently.

Corners & discipline

Statistic
Sp Lisbon
Academico Viseu
Corners won per game
5.4
2.8
Fouls per game
12.6
13.3

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

Goal rates

Statistic
Sp Lisbon
Academico Viseu
Over 2.5 rate
75.0%
62.5%
BTTS rate
75.0%
50.0%
Clean sheets
25.0%
25.0%

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

League averages this season: 2.72 goals per match · Over 2.5 in 53.9% · BTTS in 48.7%. 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.

This match

This match by half: Sp Lisbon and Academico Viseu
Sp Lisbon Academico
Statistic 1H 2H 1H 2H
Goals 0 1 1 1
Sp LisbonSp Lisbon
Sp Lisbon: season average per game by half
Per game 1H 2H Games
Goals scoredScored 1.38 1.12 8
Goals concededConceded 0.12 1.00 8
Yellow cardsYellows 0.8 1.2 5
Opponent yellow cardsOpp. yellows 0.8 1.4 5
Academico ViseuAcademico Viseu
Academico Viseu: season average per game by half
Per game 1H 2H Games
Goals scoredScored 0.71 0.57 7
Goals concededConceded 0.71 0.57 7
Yellow cardsYellows 0.8 2.6 5
Opponent yellow cardsOpp. yellows 1.0 1.0 5
All model outcomes · full market spectrum & player markets

Shots

Over 22.5 59.1% Over 24.5 46.9% Over 26.5 35.4% Over 28.5 25.2%
Most: Sp Lisbon 68.0% Most: Academico Viseu 26.7%
Sp Lisbon Over 10.5 73.9%
Sp Lisbon Over 12.5 58.8%
Sp Lisbon Over 14.5 43.2% Academico Viseu Over 10.5 45.2%
Academico Viseu Over 12.5 28.6%
Academico Viseu Over 14.5 16.4%

Shots on target

Over 6.5 74.8% Over 7.5 63.0% Over 8.5 50.6% Over 9.5 38.6%
Most: Sp Lisbon 64.5% Most: Academico Viseu 24.3%
Sp Lisbon Over 3.5 73.9%
Sp Lisbon Over 4.5 58.2%
Sp Lisbon Over 5.5 42.4% Academico Viseu Over 3.5 46.1%
Academico Viseu Over 4.5 28.6%
Academico Viseu Over 5.5 16.0%

Cards

Over 2.5 85.3% Over 3.5 69.9% Over 4.5 51.5% Over 5.5 34.1%
Most: Sp Lisbon 30.0% Most: Academico Viseu 51.9%
Sp Lisbon Over 1.5 61.1%
Sp Lisbon Over 2.5 34.1% Academico Viseu Over 1.5 74.9%
Academico Viseu Over 2.5 50.3%

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.

Sp Lisbon clean sheet 49.4%
Academico Viseu clean sheet 5.3%
Sp Lisbon win to nil 46.3%
Academico Viseu win to nil 2.2%

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 83.7% draw 11.4% away 4.9%
double_chance
1X 95.1% 12 88.6% X2 16.3%
dnb
home 94.5% away 5.5%
btts
yes 44.1% no 55.9%
clean_sheet
home 53.7% away 5.3%
win_to_nil
home 50.6% away 2.2%
winning_margin
home_by_1 18.3% home_by_2 21.6% home_by_3plus 43.8%
away_by_1 3.7% away_by_2 1.0% away_by_3plus 0.2%
correct_score
0-0 3.1% 0-1 1.5% 0-2 0.5%
0-3 0.1% 0-4 0.0% 0-5 0.0%
1-0 8.0% 1-1 5.4% 1-2 1.6%
1-3 0.3% 1-4 0.1% 1-5 0.0%
2-0 12.2% 2-1 7.6% 2-2 2.4%
2-3 0.5% 2-4 0.1% 2-5 0.0%
3-0 12.0% 3-1 7.4% 3-2 2.3%
3-3 0.5% 3-4 0.1% 3-5 0.0%
4-0 8.9% 4-1 5.5% 4-2 1.7%
4-3 0.4% 4-4 0.1% 4-5 0.0%
5-0 5.3% 5-1 3.3% 5-2 1.0%
5-3 0.2% 5-4 0.0% 5-5 0.0%
other 8.0%
likeliest_score
h 200.0% a 0.0% p 12.2%
Goals: totals / handicap / exact calibrated
total
over_0.5 96.9% under_0.5 3.1% over_1.5 87.4%
under_1.5 12.6% over_2.5 69.2% under_2.5 30.8%
over_3.5 47.9% under_3.5 52.1% over_4.5 28.9%
under_4.5 71.1% over_5.5 15.3% under_5.5 84.7%
odd_even
odd 49.4% even 50.6%
team_home
over_0.5 94.7% under_0.5 5.3% over_1.5 79.3%
under_1.5 20.7% over_2.5 56.6% under_2.5 43.4%
team_away
over_0.5 46.3% under_0.5 53.7% over_1.5 12.9%
under_1.5 87.1% over_2.5 2.5% under_2.5 97.5%
most
home 83.7% draw 11.4% away 4.9%
handicap
home_-2.5 43.8% away_+2.5 56.2% home_-1.5 65.4%
away_+1.5 34.6% home_-0.5 83.7% away_+0.5 16.3%
home_+0.5 95.1% away_-0.5 4.9% home_+1.5 98.8%
away_-1.5 1.2% home_+2.5 99.8% away_-2.5 0.2%
total_exact
exact_0 3.1% exact_1 9.5% exact_2 18.2%
exact_3 21.3% exact_4 19.0% exact_5 13.6%
exact_6 8.1% exact_7plus 7.2%
First half range, not a point
1×2
home 57.4% draw 31.9% away 10.7%
total
over_0.5 77.7% under_0.5 22.3% over_1.5 44.3%
under_1.5 55.7% over_2.5 19.2% under_2.5 80.8%
btts
yes 19.7% no 80.3%
total_exact
exact_0 22.3% exact_1 33.4% exact_2 25.1%
exact_3 12.6% exact_4plus 6.6%
Second half range, not a point
1×2
home 50.9% draw 31.2% away 17.9%
total
over_0.5 82.6% under_0.5 17.4% over_1.5 52.2%
under_1.5 47.8% over_2.5 25.6% under_2.5 74.4%
btts
yes 30.1% no 69.9%
Half-time / full-time range, not a point
H/H 51.0% H/D 4.9% H/A 1.5%
D/H 16.3% D/D 10.0% D/A 5.7%
A/H 2.2% A/D 2.8% A/A 5.7%
Corners range, not a point
total
over_7.5 67.2% under_7.5 32.8% over_8.5 55.7%
under_8.5 44.3% over_9.5 44.3% under_9.5 55.8%
over_10.5 33.7% under_10.5 66.3% over_11.5 24.7%
under_11.5 75.3% over_12.5 17.4% under_12.5 82.6%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 71.8% under_3.5 28.2% over_4.5 57.6%
under_4.5 42.4% over_5.5 43.6% under_5.5 56.4%
team_away
over_3.5 51.5% under_3.5 48.5% over_4.5 35.4%
under_4.5 64.6% over_5.5 22.7% under_5.5 77.3%
most
home 59.4% draw 9.9% away 30.7%
handicap
home_-3.5 29.3% away_+3.5 70.7% home_-1.5 49.0%
away_+1.5 51.0% home_-0.5 59.4% away_+0.5 40.6%
home_+0.5 69.3% away_-0.5 30.7% home_+1.5 77.9%
away_-1.5 22.1% home_+3.5 90.2% away_-3.5 9.8%
Shots range, not a point
total
over_22.5 59.1% under_22.5 40.9% over_24.5 46.9%
under_24.5 53.1% over_26.5 35.4% under_26.5 64.6%
over_28.5 25.2% under_28.5 74.8%
odd_even
odd 50.0% even 50.0%
team_home
over_10.5 73.9% under_10.5 26.1% over_12.5 58.8%
under_12.5 41.3% over_14.5 43.2% under_14.5 56.8%
team_away
over_10.5 45.2% under_10.5 54.8% over_12.5 28.6%
under_12.5 71.4% over_14.5 16.4% under_14.5 83.6%
most
home 68.0% draw 5.3% away 26.7%
handicap
home_-4.5 44.0% away_+4.5 56.0% home_-2.5 56.3%
away_+2.5 43.7% home_-0.5 68.0% away_+0.5 32.0%
home_+0.5 73.4% away_-0.5 26.7% home_+2.5 82.5%
away_-2.5 17.5% home_+4.5 89.3% away_-4.5 10.7%
Shots on target range, not a point
total
over_6.5 74.8% under_6.5 25.2% over_7.5 63.0%
under_7.5 37.0% over_8.5 50.6% under_8.5 49.4%
over_9.5 38.6% under_9.5 61.4%
odd_even
odd 50.0% even 50.0%
team_home
over_3.5 73.9% under_3.5 26.1% over_4.5 58.2%
under_4.5 41.8% over_5.5 42.4% under_5.5 57.6%
team_away
over_3.5 46.1% under_3.5 53.9% over_4.5 28.6%
under_4.5 71.4% over_5.5 16.0% under_5.5 84.1%
most
home 64.5% draw 11.2% away 24.3%
handicap
home_-2.5 39.5% away_+2.5 60.5% home_-0.5 64.5%
away_+0.5 35.5% home_+0.5 75.7% away_-0.5 24.3%
home_+2.5 91.0% away_-2.5 9.0%
Cards calibrated
total
over_2.5 85.3% under_2.5 14.7% over_3.5 69.9%
under_3.5 30.1% over_4.5 51.5% under_4.5 48.5%
over_5.5 34.1% under_5.5 65.9%
odd_even
odd 50.0% even 50.0%
team_home
over_1.5 61.1% under_1.5 38.9% over_2.5 34.1%
under_2.5 65.9%
team_away
over_1.5 74.9% under_1.5 25.1% over_2.5 50.3%
under_2.5 49.7%
most
home 30.0% draw 18.2% away 51.9%
handicap
home_-1.5 15.8% away_+1.5 84.2% home_-0.5 30.0%
away_+0.5 70.1% home_+0.5 48.1% away_-0.5 51.9%
home_+1.5 66.5% away_-1.5 33.5%
Fouls calibrated
total
over_20.5 81.3% under_20.5 18.7% over_22.5 70.7%
under_22.5 29.3% over_24.5 58.5% under_24.5 41.5%
odd_even
odd 50.0% even 50.0%
team_home
over_9.5 74.8% under_9.5 25.2% over_11.5 57.0%
under_11.5 43.0% over_13.5 38.9% under_13.5 61.1%
team_away
over_9.5 81.2% under_9.5 18.9% over_11.5 65.5%
under_11.5 34.5% over_13.5 47.9% under_13.5 52.1%
most
home 40.5% draw 6.4% away 53.1%
handicap
home_-3.5 23.4% away_+3.5 76.6% home_-0.5 40.5%
away_+0.5 59.5% home_+2.5 59.7% away_-2.5 40.3%
Red card range, not a point
any
yes 18.4% no 81.6%
home
yes 11.2% no 88.8%
away
yes 8.1% no 91.9%
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 47.7% (reliability, not edge). Calibration error 0.0106 (56038 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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