Leaky
1/10Lyngby kept only 1 clean sheet in their last 10 (league 23%).
AGF vs Lyngby Boldklub Prediction, Stats & Betting Tips
Superliga - Season 2026/2027 (Round 15)
Leaky
Lyngby kept only 1 clean sheet in their last 10 (league 23%).
1/10Clean sheets · Lyngby
Bookmakers: Lyngby 21% to winAGF 56%
AGF vs Lyngby score prediction
Superliga
The goals we expect each side to score, not an exact score: built from both teams' chances, the bookmakers' view and real goals here.
AGF expected to create clearly more
3.2 goals in total, a little over the Superliga average of 3.0.
goals expected
AGF2.0Lyngby1.2Calculated by MyGameOdds · xG: our own model
How it works
We look at how many chances each team has created and allowed in its recent games in this league, what the bookmakers expected from those games, and the goals actually scored. Then we compare that with how many goals home and away teams usually score here.
Does it work? Since July 2025, our numbers have been 7% closer to the real goals than just using the league average.
How we measure →Get our AI football prediction and stats for AGF vs Lyngby: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
AGF vs Lyngby — Our Model vs the Bookmakers
Market check · Superliga
For each market: our model’s probability for this match, the bookmakers’ probability from the current odds (margin removed), whether the two agree, and how often our predictions like this one came true over the last 12 months. When they disagree, the bookmakers’ number has usually been the better guide.
How to read it
our model’s probabilitybookmakers’ probabilityAgreesDisagreesour model’s pick is / is not the bookmakers’ favouriteTrack record: finished matches from the last 12 months
Full-Time Result →Agrees with bookmakers
Our model’s pick
AGF to win
Our model 53%Bookmakers 56%
Our track record
In 2,462 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 54.9% of the time (bookmakers said 55.3%).
Both Teams to Score →Agrees with bookmakers
Our model’s pick
Yes, both score
Our model 54%Bookmakers 60%
Our track record
In 6,446 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 55.1% of the time (bookmakers said 55.0%).
Over/Under 2.5 Goals →Agrees with bookmakers
Our model’s pick
Over 2.5 goals
Our model 54%Bookmakers 61%
Our track record
In 5,121 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 57.2% of the time (bookmakers said 56.5%).
Over/Under 3.5 Goals →Agrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 69%Bookmakers 62%
Our track record
In 3,993 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.2% of the time (bookmakers said 66.6%).
First Half Result →Agrees with bookmakers
Our model’s pick
AGF ahead at half-time
Our model 37%Bookmakers 42%
Our track record
In 1,937 matches over the last 12 months where our model gave the same pick a 35–40% chance and the bookmakers agreed, it came true 40.9% of the time (bookmakers said 41.2%).
AGF Goals →Agrees with bookmakers
Our model’s pick
AGF 2+ goals
Our model 51%Bookmakers 58%
Our track record
In 2,785 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 59.5% of the time (bookmakers said 58.7%).
Lyngby Goals →Agrees with bookmakers
Our model’s pick
Lyngby 0–1 goals
Our model 73%Bookmakers 68%
Our track record
In 3,357 matches over the last 12 months where our model gave the same pick a 70–75% chance and the bookmakers agreed, it came true 71.1% of the time (bookmakers said 71.9%).
Odds can still move before kick-off. The track record uses closing odds.
AGF vs Lyngby — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for AGF vs Lyngby. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
AGF–
Lyngby–Winner
1 53%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 58%
AGF–Lyngby–Winner
1 53%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 58%
Full Time
153%
X24%
223%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 23% | 77% | 46% | 54% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 58% | 42% | 81% | 19% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 19% | 81% | 49% | 51% |
| 41% | 59% | 73% | 27% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 75% | 25% | 90% | 10% |
| 90% | 10% | 97% | 3% |
1st Half
137%
X37%
225%
1st Score
155%
X6%
239%
Half Time/Full Time
1-1
29%
2-2
16%
X-1
15%
X-X
13%
X-2
10%
1-X
5%
2-X
5%
2-1
4%
1-2
3%
Correct Score
1-1
10.8%
1-0
10.8%
2-1
10.0%
2-0
9.1%
0-0
6.3%
0-1
6.0%
1-2
5.7%
3-0
5.5%
3-1
5.3%
2-2
5.1%
3-2
3.1%
0-2
3.1%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
AGF vs Lyngby: the stats that stand out
Superliga
Where each side is most unusual compared with the rest of the league: clean sheets, scoring first, wins as favourites and more.
How to read it
the teamleague averageshare of games, 0 to 100%Lyngby: leaky
1/10Calculated by MyGameOdds
How it works
We compare each team's last 10 games in this competition with how often the same thing happens across the whole league (last 12 months). A fact only shows when the team is noticeably different from a typical team. For example, if teams here score first in half their games, a team needs 7 or more out of 10 (or 3 or fewer). We show up to three facts, the most unusual first, never two about the same thing. They describe what happened, not a forecast.
How we measure →AGF vs Lyngby: attack vs defence
Superliga
Both sides' chances created and allowed a game, next to the rest of the league, measured with our own xG.
How to read it
other Superliga teamsleague averagelast 10 games↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
- AGF: weak attack, weak defence (1.43 xG, 1.60 xGA a game)
- Lyngby: weak attack, weak defence (1.43 xG, 1.69 xGA)
Calculated by MyGameOdds · xG: our own model
How it works
xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.
How we measure →AGF vs Lyngby form and luck check
Superliga
Whether each side is taking more or fewer points than its chances usually bring.
How to read it
what their chances usually bringoutside the normal range (±4)last 10 Superliga gamesBoth results in line with their chances
- AGFBookmakers: 56% to win today.−1.0
- LyngbyBookmakers: 21% to win today.−2.4
Last 5 matches
AGFW
L
W
D
W
LyngbyL
W
L
D
L
W
D
L
Strength rank: AGF 4th of 12 · Lyngby 8th of 12
Calculated by MyGameOdds · xG: our own model
How it works
For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.
We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.
Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.
Strength rank: we rank this season's 12 teams by how much better their attack is than their defence, using chances (xG), the odds and goals. Does it work? Over the first half of a season, this rank predicted the second half better than the league table did.
How we measure →AGF vs Lyngby: Over 2.5 & BTTS?
Superliga
How often each side's recent league games had over 2.5 goals and both teams scoring.
How to read it
a game where it happenedleague averagelast 10 Superliga gamesBTTS = both teams scoredBoth teams score in Lyngby games more often than the Superliga average (59%), in AGF games less often.
Over 2.5 goalsleague 59%
AGF5 of 10
Lyngby6 of 10
BTTSleague 59%
AGF5 of 10
Lyngby7 of 10
Calculated by MyGameOdds
How it works
For each team we take its last 10 games in this competition from the past 12 months (fewer if it hasn't played 10) and count how many went over 2.5 goals and how many had both teams scoring. The league figure uses all 187 games played here in the last 12 months.
How we measure →AGF vs Lyngby corners, cards and goal times
Superliga
Each side's corners and cards a game, and when it scores and concedes, from its recent league games.
How to read it
league averagelast 10 in the league · corners and cards per game- Corners won: league 5.0
- Cards: league 1.8
- Goals before half-time: league 47%
- Goals after 75': league 23%
Corners and cards for every league: League stats →
Calculated by MyGameOdds
How it works
We use each team's last 10 games here. Corners and cards only count games where those stats were recorded, and goal times only count games with reliable goal minutes, so some teams have fewer than 10. We compare with the whole league over the last 12 months.
How we measure →Our prediction record
Our last 5 predictions in each team’s matches, by market.
Full-Time Result
Lyngby4/5
AGF4/5
Both Teams to Score
Lyngby4/5
AGF2/5
Over/Under 2.5 Goals
Lyngby3/5
AGF2/5
Over/Under 3.5 Goals
Lyngby2/5
AGF5/5
First Half Result
Lyngby2/5
AGF4/5
Correct Score
Lyngby0/5
AGF0/5
correct predictionwrong prediction