Odense 2-1 Brondby: result, our prediction

Danish Superliga
OdenseOdenseDLWDD
Full time2-1Sun, 18 Oct 202618/1015:00UK
BrondbyBrondbyLLLLW
30.7%Home winFair odds 3.26
25.9%DrawFair odds 3.86
43.4%Away winFair odds 2.30
Pre-match: Most likely published score1-112.2%Fair odds 8.20

Pre-match model estimates · MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Over 1.5 goalsBoth teams combined78.4%
Draw or Brondby69.3%
Under 3.5 goalsBoth teams combined68%

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.

OdenseOdense
2-1FT
BrondbyBrondby

Match data

Match data: Odense and Brondby
OdenseOdense Statistic BrondbyBrondby
2 Goals 1

The result, on the record

Recorded tally 4 of 5 published calls on this match were right.

Published calls · recorded grading

# Market Our pick Our chance Recorded grade
1 Match result Pick: Brondby Chance: 43.4% Wrong
2 Total goals 2.5 Pick: Over 2.5 Chance: 54.3% Correct3 goals
3 Total goals 1.5 Pick: Over 1.5 Chance: 78.4% Correct3 goals
4 Total goals 3.5 Pick: Under 3.5 Chance: 68.0% Correct3 goals
5 Both teams to score Pick: Yes Chance: 57.8% 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

Brondby
Match winner (1X2)43.4%
Fair odds2.30
Save model pickSaved to my bets

Top signals

Goals marketOver 1.5 goals
Model estimateModel78.4%
Fair oddsFair1.28
Double chance marketDraw or Brondby
Model estimateModel69.3%
Fair oddsFair1.44
Both teams to scoreBoth teams to score
Model estimateModel57.8%
Fair oddsFair1.73

Model read

This match has been played. This is a historical snapshot of the pre-match estimates, not a current price opportunity. An open result market: Brondby Read full analysisShow less

This match has been played. This is a historical snapshot of the pre-match estimates, not a current price opportunity. An open result market: Brondby lead at 43.4%, with draw 25.9% and Odense at 30.7%. No result has a majority of the model probability. Both teams to score stands out at 57.8%. The estimate leans this way, with substantial uncertainty remaining. Without a complete matching price comparison, this is an event read rather than a verified price opportunity. The overall match assessment has not cleared the model's betting filters; this market read does not override that decision.

Both teams to score

Model estimate
57.8%
Fair odds
1.73

Over 2.5 goals

Model estimate
54.3%
Fair odds
1.84

Context & limits

  • Odense: 1 wins, 3 draws and 1 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • Brondby: 1 wins, 0 draws and 4 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.
  • A complete matching price comparison is unavailable for this selection, so a price edge cannot be established.
Additional match context

Our engine prices Brondby at 43% for 18 October 2026. Favourites, yes; certainties, no. Three angles decide this preview: 1) Bookmakers see it the same way, 43% on Brondby, and agreement is historically when our numbers are most reliable. 2) No strong lean on goals (54% Over 2.5). The interest, if any, lives elsewhere. 3) History adds colour: across the last 5 meetings it is 1 wins for Odense, 1 draws and 3 for Brondby at 3.8 goals per match. The run in: Odense arrive W1 D4 L1, Brondby W2 D0 L4. Discipline says sit it out: value_gap +0.006 <= 0.03.

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.

OdenseOdenseLast 5
D
Draw · 1-1
L
Loss · 0-5
W
Win · 2-1
D
Draw · 1-1
D
Draw · 0-0

1 win · 3 draws · 1 loss

BrondbyBrondbyLast 5
L
Loss · 1-3
L
Loss · 0-3
L
Loss · 1-4
L
Loss · 0-1
W
Win · 5-2

1 win · 0 draws · 4 losses

W Win
D Draw
L Loss

Head-to-head

Last 5 meetings

1OdenseOdense wins
1Draws
3BrondbyBrondby wins
3.8Average goals
Date
Home team
Score
Away team
OdenseOdense
1 – 4
BrondbyBrondby
BrondbyBrondby
5 – 1
OdenseOdense
OdenseOdense
0 – 3
BrondbyBrondby
BrondbyBrondby
1 – 2
OdenseOdense
OdenseOdense
1 – 1
BrondbyBrondby

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: Bet365 prices, observed 18 Oct 2026, 11:35 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: 30.7%
Odense

Model minus market: -0.2 pp
Market probability: 30.9%
Model probability: 25.9%
Draw

Model minus market: -0.3 pp
Market probability: 26.2%
Model probability: 43.4%
Brondby

Model minus market: +0.6 pp
Market probability: 42.8%

Goals

No recorded bookmaker price for this market.

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 93.7%
Over 0.5 goals

Model minus market: —
Market probability: —
Model probability: 6.4%
Under 0.5 goals

Model minus market: —
Market probability: —
Model probability: 78.4%
Over 1.5 goals

Model minus market: —
Market probability: —
Model probability: 21.6%
Under 1.5 goals

Model minus market: —
Market probability: —
Model probability: 54.3%
Over 2.5 goals

Model minus market: —
Market probability: —
Model probability: 45.7%
Under 2.5 goals

Model minus market: —
Market probability: —
Model probability: 32.0%
Over 3.5 goals

Model minus market: —
Market probability: —
Model probability: 68.0%
Under 3.5 goals

Model minus market: —
Market probability: —
Model probability: 16.1%
Over 4.5 goals

Model minus market: —
Market probability: —
Model probability: 83.9%
Under 4.5 goals

Model minus market: —
Market probability: —
Model probability: 7.0%
Over 5.5 goals

Model minus market: —
Market probability: —
Model probability: 93.0%
Under 5.5 goals

Model minus market: —
Market probability: —
Model probability: 57.8%
Both teams to score · Yes

Model minus market: —
Market probability: —
Model probability: 42.2%
Both teams to score · No

Model minus market: —
Market probability: —

Cards

No estimates available for this market.

Corners

No estimates available for this market.

Shots

No estimates available for this market.

Bookmaker odds

Real bookmaker price (Bet365) 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

Odense winBookmaker3.00Model fair3.26Model minus bookmaker probability, percentage points: -2.6 pp
DrawBookmaker3.50Model fair3.86Model minus bookmaker probability, percentage points: -2.6 pp
Brondby winBookmaker2.20Model fair2.30Model minus bookmaker probability, percentage points: -2.0 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

Odense win3.26
Draw3.86
Brondby win2.30
Both teams to score1.73

Goals

Over 0.5 goals1.07
Over 1.5 goals1.28
Over 2.5 goals1.84
Over 3.5 goals3.13
Odense most3.26
Brondby most2.30

Totals line guide

Both teams combined.

Over 0.593.7%Over 1.578.4%Over 2.554.3%Over 3.532.0%Over 4.516.1%Over 5.57.0%
Our stored model focusOver 1.578.4%

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

Goals

Over 1.51.5 goals, Low risk
Model probability 78.4%
Fair odds Fair 1.28
Over 2.52.5 goals, Medium risk
Model probability 54.3%
Fair odds Fair 1.84
Over 3.53.5 goals, High risk
Model probability 32.0%
Fair odds Fair 3.13
Correct score probabilitiesModel probability / Fair odds
Goal axes Home goals
Away goals 0 1 2 3 4 5
Away goals 0 0-06.4%Fair odds 15.75 1-06.8%Fair odds 14.64 2-04.8%Fair odds 21.01 3-02.0%Fair odds 49.02 4-00.7%Fair odds 151.52 5-00.2%Fair odds 588.24
Away goals 1 0-18.5%Fair odds 11.82 1-112.2%Fair odds 8.20 2-17.5%Fair odds 13.39 3-13.2%Fair odds 31.25 4-11.0%Fair odds 97.09 5-10.3%Fair odds 384.62
Away goals 2 0-27.1%Fair odds 14.10 1-29.1%Fair odds 10.98 2-25.9%Fair odds 17.09 3-22.5%Fair odds 39.84 4-20.8%Fair odds 123.46 5-20.2%Fair odds 476.19
Away goals 3 0-33.7%Fair odds 27.03 1-34.8%Fair odds 21.01 2-33.1%Fair odds 32.68 3-31.3%Fair odds 76.34 4-30.4%Fair odds 238.10 5-30.1%Fair odds 909.09
Away goals 4 0-41.5%Fair odds 68.97 1-41.9%Fair odds 53.48 2-41.2%Fair odds 83.33 3-40.5%Fair odds 196.08 4-40.2%Fair odds 588.24 5-40.0%Fair odds 2,500.00
Away goals 5 0-50.5%Fair odds 217.39 1-50.6%Fair odds 169.49 2-50.4%Fair odds 263.16 3-50.2%Fair odds 625.00 4-50.1%Fair odds 2,000.00 5-50.0%Fair odds 10,000.00

Model’s 3 most likely score outcomes

Model probability · Fair odds

1-1
Model probability12.2%
Fair odds8.20
1-2
Model probability9.1%
Fair odds10.98
0-1
Model probability8.5%
Fair odds11.82

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 recorded

No verified match referee is available in the saved data.

Season stats

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

OdenseOdense
BrondbyBrondby

Overview

Statistic
Odense
Brondby
League position
#9 of 12
#5 of 12
Matches played
10
10
Record W-D-L
2-4-4
5-1-4
Recent form
DLWDD
Last 5 matches
LLLLW
Last 5 matches
Current streak
D2
W1
Points per game
1.00
1.60
Record, home vs away
1-1-2
1-1-2
PPG, home vs away
1.00
1.00

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

Show all season statsHide season stats

Goals

Statistic
Odense
Brondby
Goals scored per game
0.80
1.70
Goals conceded per game
1.40
1.70
Scored, home vs away
0.75
1.25
Conceded, home vs away
2.00
2.00

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

Goal rates

Statistic
Odense
Brondby
Over 2.5 rate
40.0%
60.0%
BTTS rate
50.0%
60.0%
Clean sheets
20.0%
20.0%

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

League averages this season: 3.02 goals per match · Over 2.5 in 55.0% · BTTS in 58.3%. Full league tables & stats →

All model outcomes · full market spectrum & player markets

Shots

Shots on target

Cards

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.

Odense clean sheet 20.8%
Brondby clean sheet 27.5%
Odense win to nil 14.5%
Brondby win to nil 21.2%

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 30.7% draw 25.9% away 43.4%
double_chance
1X 56.6% 12 74.1% X2 69.3%
dnb
home 41.4% away 58.6%
btts
yes 57.8% no 42.2%
clean_sheet
home 20.8% away 27.7%
win_to_nil
home 14.5% away 21.3%
winning_margin
home_by_1 17.3% home_by_2 8.9% home_by_3plus 4.6%
away_by_1 21.2% away_by_2 13.2% away_by_3plus 9.0%
correct_score
0-0 6.4% 0-1 8.5% 0-2 7.1%
0-3 3.7% 0-4 1.5% 0-5 0.5%
1-0 6.8% 1-1 12.2% 1-2 9.1%
1-3 4.8% 1-4 1.9% 1-5 0.6%
2-0 4.8% 2-1 7.5% 2-2 5.9%
2-3 3.1% 2-4 1.2% 2-5 0.4%
3-0 2.0% 3-1 3.2% 3-2 2.5%
3-3 1.3% 3-4 0.5% 3-5 0.2%
4-0 0.7% 4-1 1.0% 4-2 0.8%
4-3 0.4% 4-4 0.2% 4-5 0.1%
5-0 0.2% 5-1 0.3% 5-2 0.2%
5-3 0.1% 5-4 0.0% 5-5 0.0%
other 0.8%
likeliest_score
h 100.0% a 100.0% p 12.2%
Goals: totals / handicap / exact calibrated
total
over_0.5 93.7% under_0.5 6.4% over_1.5 78.4%
under_1.5 21.6% over_2.5 54.3% under_2.5 45.7%
over_3.5 32.0% under_3.5 68.0% over_4.5 16.1%
under_4.5 83.9% over_5.5 7.0% under_5.5 93.0%
odd_even
odd 48.7% even 51.3%
team_home
over_0.5 72.3% under_0.5 27.7% over_1.5 36.8%
under_1.5 63.2% over_2.5 14.0% under_2.5 86.1%
team_away
over_0.5 79.1% under_0.5 20.8% over_1.5 46.5%
under_1.5 53.5% over_2.5 20.8% under_2.5 79.2%
most
home 30.7% draw 25.9% away 43.4%
handicap
home_-2.5 4.6% away_+2.5 95.4% home_-1.5 13.5%
away_+1.5 86.6% home_-0.5 30.7% away_+0.5 69.3%
home_+0.5 56.6% away_-0.5 43.4% home_+1.5 77.8%
away_-1.5 22.2% home_+2.5 91.0% away_-2.5 9.0%
total_exact
exact_0 6.4% exact_1 15.3% exact_2 24.1%
exact_3 22.3% exact_4 15.9% exact_5 9.1%
exact_6 4.3% exact_7plus 2.7%
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.

Explore this match