Bodo/Glimt vs Viking prediction

Eliteserien
Bodo/GlimtBodo/GlimtWLWWL
Fri, 30 Oct 202630/1018:00UK
VikingVikingWWWWW
49.3%Home winFair odds 2.03
23.6%DrawFair odds 4.24
27.1%Away winFair odds 3.69
Most likely published score1-110.6%Fair odds 9.40

MODELS TOP 3

Based on the Road2Sushi model. Not guaranteed outcomes.

Over 1.5 goalsBoth teams combined83.5%
Bodo/Glimt or draw72.9%
Both teams to score62.9%

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

Bodo/Glimt
Match winner (1X2)49.3%
Fair odds2.03
Save model pickSaved to my bets

Top signals

Goals marketOver 1.5 goals
Model estimateModel83.5%
Fair oddsFair1.20
Double chance marketBodo/Glimt or draw
Model estimateModel72.9%
Fair oddsFair1.37
Both teams to scoreBoth teams to score
Model estimateModel62.9%
Fair oddsFair1.59

Model read

Bodo/Glimt lead the result estimates at 49.3%. The match still has meaningful room for a draw or an opponent win. Both teams to score stands out at 62Read full analysisShow less

Bodo/Glimt lead the result estimates at 49.3%. The match still has meaningful room for a draw or an opponent win. Both teams to score stands out at 62.9%. 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.

Both teams to score

Model estimate
62.9%
Fair odds
1.59

Over 2.5 goals

Model estimate
62.1%
Fair odds
1.61

Context & limits

  • Bodo/Glimt: 3 wins, 0 draws and 2 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • Viking: 5 wins, 0 draws and 0 losses in the last 5 recorded matches. Recent form is context, not an extra win probability.
  • The last 5 recorded meetings averaged 4.0 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

Bodo/Glimt versus Viking on 30 October 2026 tilts towards Bodo/Glimt in our numbers (49%), with plenty left over for the other outcomes. Everything in the shot data points to goals, 62% for Over 2.5 with both teams to score at 63%. Recent form reads W4 D0 L2 for Bodo/Glimt against W5 D1 L0 for Viking. History adds colour: across the last 5 meetings it is 2 wins for Bodo/Glimt, 1 draws and 2 for Viking at 4.0 goals per match. The engine passes on this one (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.

Bodo/GlimtBodo/GlimtLast 5
W
Win · 3-2
L
Loss · 1-2
W
Win · 3-1
W
Win · 2-0
L
Loss · 0-1

3 wins · 0 draws · 2 losses

VikingVikingLast 5
W
Win · 8-1
W
Win · 3-0
W
Win · 2-0
W
Win · 3-2
W
Win · 3-1

5 wins · 0 draws · 0 losses

W Win
D Draw
L Loss

Head-to-head

Last 5 meetings

2Bodo/GlimtBodo/Glimt wins
1Draws
2VikingViking wins
4.0Average goals
Date
Home team
Score
Away team
VikingViking
5 – 0
Bodo/GlimtBodo/Glimt
VikingViking
2 – 4
Bodo/GlimtBodo/Glimt
Bodo/GlimtBodo/Glimt
2 – 4
VikingViking
VikingViking
1 – 1
Bodo/GlimtBodo/Glimt
Bodo/GlimtBodo/Glimt
1 – 0
VikingViking

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 28 Oct 2026, 12:22 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: 49.3%
Bodo/Glimt

Model minus market: -6.3 pp
Market probability: 55.6%
Model probability: 23.6%
Draw

Model minus market: +2.3 pp
Market probability: 21.3%
Model probability: 27.1%
Viking

Model minus market: +4.0 pp
Market probability: 23.1%

Goals

ModelProbability (%)
Outcome
MarketProbability (%)
Model probability: 95.4%
Over 0.5 goals

Model minus market: -2.1 pp
Market probability: 97.6%
Model probability: 4.6%
Under 0.5 goals

Model minus market: +2.1 pp
Market probability: 2.4%
Model probability: 83.5%
Over 1.5 goals

Model minus market: -4.8 pp
Market probability: 88.3%
Model probability: 16.5%
Under 1.5 goals

Model minus market: +4.8 pp
Market probability: 11.7%
Model probability: 62.1%
Over 2.5 goals

Model minus market: -10.8 pp
Market probability: 72.9%
Model probability: 37.9%
Under 2.5 goals

Model minus market: +10.8 pp
Market probability: 27.1%
Model probability: 39.9%
Over 3.5 goals

Model minus market: -10.1 pp
Market probability: 50.0%
Model probability: 60.1%
Under 3.5 goals

Model minus market: +10.1 pp
Market probability: 50.0%
Model probability: 22.0%
Over 4.5 goals

Model minus market: -10.4 pp
Market probability: 32.5%
Model probability: 78.0%
Under 4.5 goals

Model minus market: +10.4 pp
Market probability: 67.5%
Model probability: 10.6%
Over 5.5 goals

Model minus market: -6.7 pp
Market probability: 17.3%
Model probability: 89.4%
Under 5.5 goals

Model minus market: +6.7 pp
Market probability: 82.7%
Model probability: 62.9%
Both teams to score · Yes

Model minus market: -4.6 pp
Market probability: 67.5%
Model probability: 37.1%
Both teams to score · No

Model minus market: +4.6 pp
Market probability: 32.5%

Cards

No estimates available for this market.

Corners

No estimates available for this market.

Shots

No estimates available for this market.

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

Bodo/Glimt win2.03
Draw4.24
Viking win3.69
Both teams to score1.59

Goals

Over 1.5 goals1.20
Over 2.5 goals1.61
Over 3.5 goals2.51
Over 4.5 goals4.54
Bodo/Glimt most2.03
Viking most3.69

Totals line guide

Both teams combined.

Over 0.595.4%Over 1.583.5%Over 2.562.1%Over 3.539.9%Over 4.522.0%Over 5.510.6%
Recommended focusOver 2.562.1%

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

Goals

Over 0.50.5 goals, Low risk
Model probability 95.4%
Fair odds Fair 1.05
Over 1.51.5 goals, Low risk
Model probability 83.5%
Fair odds Fair 1.20
Over 3.53.5 goals, High risk
Model probability 39.9%
Fair odds Fair 2.51
Correct score probabilitiesModel probability / Fair odds
Goal axes Home goals
Away goals 0 1 2 3 4 5
Away goals 0 0-04.6%Fair odds 21.93 1-07.0%Fair odds 14.18 2-07.0%Fair odds 14.18 3-04.4%Fair odds 22.83 4-02.0%Fair odds 49.02 5-00.8%Fair odds 131.58
Away goals 1 0-14.9%Fair odds 20.28 1-110.6%Fair odds 9.40 2-19.5%Fair odds 10.58 3-15.9%Fair odds 17.04 4-12.7%Fair odds 36.50 5-11.0%Fair odds 98.04
Away goals 2 0-23.6%Fair odds 27.47 1-26.8%Fair odds 14.73 2-26.3%Fair odds 15.80 3-23.9%Fair odds 25.38 4-21.8%Fair odds 54.35 5-20.7%Fair odds 147.06
Away goals 3 0-31.6%Fair odds 61.35 1-33.0%Fair odds 32.89 2-32.8%Fair odds 35.34 3-31.8%Fair odds 56.82 4-30.8%Fair odds 121.95 5-30.3%Fair odds 322.58
Away goals 4 0-40.5%Fair odds 181.82 1-41.0%Fair odds 98.04 2-41.0%Fair odds 105.26 3-40.6%Fair odds 169.49 4-40.3%Fair odds 370.37 5-40.1%Fair odds 1,000.00
Away goals 5 0-50.2%Fair odds 666.67 1-50.3%Fair odds 370.37 2-50.3%Fair odds 400.00 3-50.2%Fair odds 625.00 4-50.1%Fair odds 1,428.57 5-50.0%Fair odds 3,333.33

Model’s 3 most likely score outcomes

Model probability · Fair odds

1-1
Model probability10.6%
Fair odds9.40
2-1
Model probability9.5%
Fair odds10.58
1-0
Model probability7.0%
Fair odds14.18

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 season. Recorded results, not model estimates.

Bodo/GlimtBodo/Glimt
VikingViking

Overview

Statistic
Bodo/Glimt
Viking
League position
#2 of 16
#1 of 16
Matches played
24
24
Record W-D-L
18-2-4
19-2-3
Recent form
WLWWL
Last 5 matches
WWWWW
Last 5 matches
Current streak
L1
W5
Points per game
2.33
2.46
Record, home vs away
10-0-2
7-2-3
PPG, home vs away
2.50
1.92

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

Show all season statsHide season stats

Goals

Statistic
Bodo/Glimt
Viking
Goals scored per game
2.42
2.58
Goals conceded per game
0.88
0.96
Scored, home vs away
2.83
1.50
Conceded, home vs away
0.67
0.83
1st half goals per game
1.08
1.50
2nd half goals per game
1.33
1.08

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

Shooting

Statistic
Bodo/Glimt
Viking
Shots per game
18.7
15.3
Shots faced per game
8.6
13.0
Shots on target per game
6.7
6.0
1st half shots per game
8.6
7.4
2nd half shots per game
10.7
8.4

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

Corners & discipline

Statistic
Bodo/Glimt
Viking
Corners won per game
7.7
6.8
Fouls per game
9.0
12.5

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

Goal rates

Statistic
Bodo/Glimt
Viking
Over 2.5 rate
70.8%
75.0%
BTTS rate
41.7%
66.7%
Clean sheets
45.8%
29.2%

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

League averages this season: 3.21 goals per match · Over 2.5 in 62.5% · BTTS in 59.9%. 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.

Bodo/GlimtBodo/Glimt
Bodo/Glimt: season average per game by half
Per game 1H 2H Games
Goals scoredScored 1.08 1.33 24
Goals concededConceded 0.38 0.50 24
Shots 8.6 10.7 20
Shots facedOpp. shots 3.8 4.4 20
Shots on targetOn target 3.1 3.8 19
Shots on target facedOpp. on target 1.1 1.3 19
Corners wonCorners 3.5 4.2 20
Corners concededOpp. corners 1.3 1.0 20
Yellow cardsYellows 0.2 0.5 20
Opponent yellow cardsOpp. yellows 0.6 1.3 20
VikingViking
Viking: season average per game by half
Per game 1H 2H Games
Goals scoredScored 1.50 1.08 24
Goals concededConceded 0.54 0.42 24
Shots 7.4 8.4 16
Shots facedOpp. shots 6.7 7.1 16
Shots on targetOn target 3.1 3.3 16
Shots on target facedOpp. on target 1.3 1.9 16
Corners wonCorners 4.1 3.2 18
Corners concededOpp. corners 1.9 3.2 18
Yellow cardsYellows 0.6 1.4 19
Opponent yellow cardsOpp. yellows 0.6 1.7 19
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.

Bodo/Glimt clean sheet 25.8%
Viking clean sheet 15.5%
Bodo/Glimt win to nil 21.3%
Viking win to nil 10.9%

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 49.3% draw 23.6% away 27.1%
double_chance
1X 72.9% 12 76.4% X2 50.7%
dnb
home 64.5% away 35.5%
btts
yes 62.9% no 37.1%
clean_sheet
home 26.2% away 15.5%
win_to_nil
home 21.6% away 10.9%
winning_margin
home_by_1 21.4% home_by_2 15.1% home_by_3plus 12.8%
away_by_1 15.2% away_by_2 7.8% away_by_3plus 4.1%
correct_score
0-0 4.6% 0-1 4.9% 0-2 3.6%
0-3 1.6% 0-4 0.5% 0-5 0.2%
1-0 7.0% 1-1 10.6% 1-2 6.8%
1-3 3.0% 1-4 1.0% 1-5 0.3%
2-0 7.0% 2-1 9.5% 2-2 6.3%
2-3 2.8% 2-4 1.0% 2-5 0.3%
3-0 4.4% 3-1 5.9% 3-2 3.9%
3-3 1.8% 3-4 0.6% 3-5 0.2%
4-0 2.0% 4-1 2.7% 4-2 1.8%
4-3 0.8% 4-4 0.3% 4-5 0.1%
5-0 0.8% 5-1 1.0% 5-2 0.7%
5-3 0.3% 5-4 0.1% 5-5 0.0%
other 1.5%
likeliest_score
h 100.0% a 100.0% p 10.6%
Goals: totals / handicap / exact calibrated
total
over_0.5 95.4% under_0.5 4.6% over_1.5 83.5%
under_1.5 16.5% over_2.5 62.1% under_2.5 37.9%
over_3.5 39.9% under_3.5 60.1% over_4.5 22.0%
under_4.5 78.0% over_5.5 10.6% under_5.5 89.4%
odd_even
odd 48.9% even 51.1%
team_home
over_0.5 84.5% under_0.5 15.5% over_1.5 55.6%
under_1.5 44.4% over_2.5 28.7% under_2.5 71.3%
team_away
over_0.5 73.8% under_0.5 26.2% over_1.5 38.8%
under_1.5 61.3% over_2.5 15.2% under_2.5 84.8%
most
home 49.3% draw 23.6% away 27.1%
handicap
home_-2.5 12.8% away_+2.5 87.2% home_-1.5 27.9%
away_+1.5 72.1% home_-0.5 49.3% away_+0.5 50.7%
home_+0.5 72.9% away_-0.5 27.1% home_+1.5 88.1%
away_-1.5 11.9% home_+2.5 95.9% away_-2.5 4.1%
total_exact
exact_0 4.6% exact_1 12.0% exact_2 21.3%
exact_3 22.3% exact_4 17.8% exact_5 11.4%
exact_6 6.1% exact_7plus 4.5%
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