Shot-shy
7/10Kalmar failed to score in 7 of their last 10 (league 26%).
Degerfors vs Kalmar Prediction, Stats & Betting Tips
Allsvenskan - Season 2026 (Round 24)
Unlucky
Kalmar are taking fewer points than their chances usually bring
−8points fewer than their chances usually bring in their last 10
83% of teams this far behind their chances got more points in their next 10 games.
Bookmakers: Kalmar 37% to winDegerfors 35%
Degerfors vs Kalmar score prediction
Allsvenskan
The goals we expect each side to score, not an exact score: built from both teams' chances, the bookmakers' view and real goals here.
Evenly matched in front of goal
2.4 goals in total: fewer goals than usual (the Allsvenskan average is 2.9).
goals expected
Degerfors1.2Kalmar1.2Calculated 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 Degerfors vs Kalmar: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
Degerfors vs Kalmar — Our Model vs the Bookmakers
Market check · Allsvenskan
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
Kalmar to win
Our model 40%Bookmakers 37%
Our track record
In 2,079 matches over the last 12 months where our model gave the same pick a 35–40% chance and the bookmakers agreed, it came true 43.6% of the time (bookmakers said 43.9%).
Both Teams to Score →Agrees with bookmakers
Our model’s pick
Yes, both score
Our model 51%Bookmakers 52%
Our track record
In 6,406 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 55.3% of the time (bookmakers said 55.0%).
Over/Under 2.5 Goals →Agrees with bookmakers
Our model’s pick
Under 2.5 goals
Our model 52%Bookmakers 53%
Our track record
In 5,117 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 56.4%).
Over/Under 3.5 Goals →Agrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 74%Bookmakers 75%
Our track record
In 4,517 matches over the last 12 months where our model gave the same pick a 70–75% chance and the bookmakers agreed, it came true 72.2% of the time (bookmakers said 71.6%).
First Half Result →Agrees with bookmakers
Our model’s pick
Draw at half-time
Our model 46%Bookmakers 44%
Our track record
In 4,210 matches over the last 12 months where our model gave the same pick a 45–50% chance and the bookmakers agreed, it came true 47.6% of the time (bookmakers said 47.3%).
Degerfors Goals →Agrees with bookmakers
Our model’s pick
Degerfors 0–1 goals
Our model 67%Bookmakers 63%
Our track record
In 2,674 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.9% of the time (bookmakers said 67.6%).
Kalmar Goals →Agrees with bookmakers
Our model’s pick
Kalmar 0–1 goals
Our model 63%Bookmakers 63%
Our track record
In 2,657 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 63.0% of the time (bookmakers said 63.8%).
Odds can still move before kick-off. The track record uses closing odds.
Degerfors vs Kalmar — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for Degerfors vs Kalmar. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Degerfors–
Kalmar–Winner
12 75%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 63%
Degerfors–Kalmar–Winner
12 75%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 51%
Over/Under 3.5 goals
under 63%
Full Time
136%
X25%
239%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 27% | 73% | 51% | 49% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 63% | 37% | 86% | 14% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 32% | 68% | 65% | 35% |
| 30% | 70% | 63% | 37% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 86% | 14% | 96% | 4% |
| 85% | 15% | 95% | 5% |
1st Half
123%
X45%
232%
1st Score
140%
X8%
252%
Half Time/Full Time
2-2
24%
X-2
18%
X-X
17%
1-1
15%
X-1
11%
2-X
6%
1-X
5%
1-2
3%
2-1
2%
Correct Score
1-1
11.7%
0-1
9.7%
1-0
9.3%
1-2
8.5%
0-0
7.7%
2-1
7.7%
0-2
6.7%
2-0
6.0%
2-2
5.0%
1-3
3.7%
3-1
3.4%
0-3
3.3%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Degerfors vs Kalmar: the stats that stand out
Allsvenskan
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%Kalmar: shot-shy, slow starters and leaky
7/10Slow starters
2/10Kalmar scored first in only 2 of their last 10 (league 48%).
Leaky
1/10Kalmar kept only 1 clean sheet in their last 10 (league 26%).
Calculated 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 →Degerfors vs Kalmar: attack vs defence
Allsvenskan
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 Allsvenskan teamsleague averagelast 10 games↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
- Degerfors: weak attack, weak defence (1.02 xG, 1.60 xGA a game)
- Kalmar: weak attack, good defence (1.24 xG, 1.31 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 →Degerfors vs Kalmar form and luck check
Allsvenskan
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 Allsvenskan gamesKalmar are taking fewer points than their chances usually bring
- DegerforsBookmakers: 35% to win today.+2.1
- KalmarBookmakers: 37% to win today.Wasteful · −7 goals−8.1
Last 5 matches
DegerforsD
L
L
W
L
KalmarL
L
L
L
L
W
D
L
Strength rank: Degerfors 14th of 16 · Kalmar 12th of 16
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 16 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 →Degerfors vs Kalmar: Over 2.5 & BTTS?
Allsvenskan
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 Allsvenskan gamesBTTS = both teams scoredDegerfors and Kalmar games both go over 2.5 goals less often than the Allsvenskan average (53%).
Over 2.5 goalsleague 53%
Degerfors2 of 10
Kalmar4 of 10
BTTSleague 52%
Degerfors2 of 10
Kalmar3 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 216 games played here in the last 12 months.
How we measure →Degerfors vs Kalmar corners, cards and goal times
Allsvenskan
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 gameKalmar score early
Degerfors
Kalmar
5.0
Corners won · league 5.1
4.2
6.9
Corners conceded · league 5.1
6.1
1.6
Cards · league 1.7
0.9
0.9
Opponents' cards · league 1.7
1.9
50%
Goals before half-time · league 44%
60%
25%
Goals after 75' · league 22%
20%
42%
Conceded before half-time · league 44%
33%
33%
Conceded after 75' · league 22%
17%
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
Kalmar4/5
Degerfors4/5
Both Teams to Score
Kalmar0/5
Degerfors1/5
Over/Under 2.5 Goals
Kalmar2/5
Degerfors1/5
Over/Under 3.5 Goals
Kalmar4/5
Degerfors5/5
First Half Result
Kalmar2/5
Degerfors3/5
Correct Score
Kalmar0/5
Degerfors1/5
correct predictionwrong prediction