Expected goals
1.7 - 1.5
Model estimate
Superliga · 27897
Current lifecycle fixtureKickoff
2026-07-24 17:00:00
VS
Intelligence overview
Highest 1X2 estimate 44%. Confidence is low, so the UI avoids a strong recommendation.
Expected goals
1.7 - 1.5
Model estimate
Model
analysis-v1
live-local
Publication
published
Public view hides drafts
Confidence
Exact model percentages, never bookmaker odds.
Model-estimated probability, not odds.
Model-estimated probability, not odds.
Model-estimated probability, not odds.
Model-estimated probability, not odds.
Model-estimated probability, not odds.
Model-estimated probability, not odds.
A probability is an estimated chance from the local model context. It is not an outcome promise and is not bookmaker odds.
Reasons are grouped for readability using available local data context.
Historical context from 2024/2025, 2025/2026 and 2025/2026.
Viborg FF form
PPG 1.42 · GF 106 · GA 101
Odense BK form
PPG 1.28 · GF 51 · GA 60
AI MATCH ANALYSIS
Prediction leans to a Viborg win (44% probability) with a goal-heavy profile: combined expected goals 3.2, 90% chance of over 1.5 goals, 60% over 2.5 and 79% probability both teams score. Confidence is low (score 36) and the model used a very small recent sample (one home and one away match), so outcomes are uncertain.
The model classifies this fixture as a home-leaning game: Viborg holds the single highest probability at 44%, with the draw and away outcomes at 29% and 27% respectively. The top probability is not dominant — the gap to the second outcome is 15 percentage points — and overall confidence is low (36). The clearest statistical signal is goal volume rather than a decisive result: over 1.5 goals is the strongest market.
Only one recent home match and one away match were used to build the prediction inputs, which limits the reliability of form-based signals. Confidence calibration is weak (confidence label: Low, score: 36), so model outputs should be treated as indicative rather than definitive.
Model
36 (Low)
Low confidence score indicates limited calibration and higher outcome uncertainty.
Odense BK
1 match
Single away match used; away-form signals are likewise limited.
Viborg FF
1 match
Single home match contributed to form assessment — small sample weakens trend inference.
Expected goals provide only a small home edge: Viborg 1.7 xG vs Odense 1.5 xG (combined 3.2). The model also references Odense conceding 1.9 away goals per match as a material factor in the projections. Those figures drive both the home-lean result probability and the strong goal-volume signals.
Odense BK
1.9 conceded away (reported)
Higher away goals conceded cited as a reason the fixture is expected to feature goals and gives Viborg a relative defensive advantage.
Odense BK
1.5
Still shows attacking expectation away, but model notes higher away goals conceded (1.9) that increase match openness.
Viborg FF
1.7
Projected to generate slightly more attacking value at home than the opponent.
Combined expected goals are 3.2, with the model assigning a 90% probability to over 1.5 goals and 60% to over 2.5. Both teams to score sits at 79%, indicating the model expects both sides to create and concede opportunities. Goal-volume signals are materially stronger than the match-result signal.
Over 1.5
Very likely — over 1.5 probability 90% supports expectation of at least two goals.
Over 2.5
More likely than not — over 2.5 probability 60% implies a meaningful chance of three or more goals.
BTTS
High probability — 79% that both teams will score, consistent with the combined xG of 3.2 and Odense's away concession rate.
Expected goals
1.7 - 1.5
Match
79%
Model expects both sides to contribute to the scoreline.
Match
3.2 (1.7 + 1.5)
xG total aligns with the high over and BTTS probabilities.
Match
90%
Strong signal that the game will clear the 1.5-goal threshold.
Match
60%
Moderate to strong chance of three or more goals.
Viborg FF
Home attacking projection
Projected home xG of 1.7 gives Viborg a tangible attacking edge in the model and underpins the highest single-outcome probability (44%).
Odense BK
Away attacking contribution
Odense still projects 1.5 expected away goals; combined with their higher away concessions this creates sustained goal threat for both sides.
Small sample and low confidence
Only one recent home and one away match were used and the model reports a low confidence score (36). This reduces reliability of form-based conclusions.
Result margin is slim
Home win probability is 44% with draw at 29% — the top-probability outcome is not dominant, so a range of results remain plausible.
Model limitations in draw calibration
Known limitation: draw prediction is a V1 weakness, which may understate the likelihood of a stalemate in tight matches.
Both teams to score
79%
Model expects both sides to contribute to the scoreline.
Combined expected goals
3.2
xG total consistent with the high over and BTTS probabilities.
Home win probability
44%
Highest single outcome probability; indicates a home lean but not a decisive edge.
Model confidence
36 (Low)
Outputs should be treated with caution; calibration is weak.
Over 1.5 goals
90%
Strongest market signal — match is very likely to have at least two goals.
Over 2.5 goals
60%
Reasonable chance of three-plus goals.
Final Verdict
The model leans to a Viborg victory (44%) while flagging a strong probability of a goal-filled game (90% over 1.5; 60% over 2.5; 79% BTTS). Combined xG is 3.2, and Odense's reported 1.9 away goals conceded increases match openness. However, only one home and one away match were used and the model's confidence is low, so the result projection is tentative even as the goals projection is robust.
Confidence language: Low (confidence score 36). This remains an analytical view, not a guaranteed selection.
Analysis Engine V1 calculates the probabilities. The AI writer explains the verified inputs and does not alter numbers, add odds, or claim certainty.
Source datasets: live-local. Generated 2026-07-12T11:14:06.652Z.