Fast starters
7/10Viktoria Köln scored first in 7 of their last 10 (league 48%).
MSV Duisburg vs Viktoria Köln Prediction, Stats & Betting Tips
3. Liga - Season 2026/2027 (Round 10)
Riding their luck
MSV Duisburg are taking more points than their chances usually bring
+4points more than their chances usually bring in their last 10
85% of teams this far ahead of their chances got fewer points in their next 10 games. Viktoria Köln are also ahead of their chances: about +4 points.
MSV Duisburg vs Viktoria Köln score prediction
3. Liga
The goals we expect each side to score, not an exact score: built from both teams' chances, the bookmakers' view and real goals here.
MSV Duisburg expected to create clearly more
3.0 goals in total: fewer goals than usual (the 3. Liga average is 3.3).
goals expected
MSV Duisburg1.8Viktoria Köln1.2Calculated 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 →The match MSV Duisburg vs Viktoria Köln will be played on Sunday, October 18 as part of the 2026/2027 season. This fixture will be played in the Round 10 of the 3. Liga, played in Germany. On this page, you’ll find our detailed football prediction for MSV Duisburg vs Viktoria Köln, including full-time result (1X2) probabilities, draw chances, and additional betting insights. Our predictions are generated using data-driven models that analyze team form, recent performances, and historical trends to deliver reliable match forecasts.
MSV Duisburg vs Viktoria Köln — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for MSV Duisburg vs Viktoria Köln. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
MSV Duisburg–
Viktoria Köln–Winner
1X 75%
BTTS*
Yes 58%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 56%
MSV Duisburg–Viktoria Köln–Winner
1X 75%
BTTS*
Yes 58%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 56%
Full Time
150%
X25%
225%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 21% | 79% | 44% | 56% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 56% | 44% | 80% | 20% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 20% | 80% | 50% | 50% |
| 37% | 63% | 70% | 30% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 76% | 24% | 90% | 10% |
| 89% | 11% | 96% | 4% |
1st Half
138%
X39%
222%
1st Score
159%
X6%
235%
Half Time/Full Time
1-1
30%
X-1
16%
X-X
14%
2-2
14%
X-2
9%
1-X
6%
2-X
5%
2-1
3%
1-2
2%
Correct Score
1-1
11.6%
2-1
9.8%
1-0
9.7%
2-0
7.7%
1-2
6.5%
2-2
6.0%
0-1
5.9%
0-0
5.7%
3-1
5.3%
3-0
4.4%
0-2
3.5%
3-2
3.5%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
MSV Duisburg vs Viktoria Köln: the stats that stand out
3. Liga
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%Viktoria Köln: fast starters · MSV Duisburg: banker as favourites
7/10Banker as favourites
6/9MSV Duisburg won 6 of 9 as favourites (league 50%).
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 →MSV Duisburg vs Viktoria Köln: attack vs defence
3. Liga
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 3. Liga teamsleague averagelast 10 games↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
- MSV Duisburg: good attack, good defence (1.48 xG, 0.97 xGA a game)
- Viktoria Köln: weak attack, good defence (1.31 xG, 1.17 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 →MSV Duisburg vs Viktoria Köln form and luck check
3. Liga
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 3. Liga gamesBoth sides are winning more than their chances suggest
- MSV DuisburgClinical · +3 goals+4.4
- Viktoria KölnClinical · +6 goals+4.4
Last 5 matches
MSV DuisburgW
W
L
W
W
Viktoria KölnW
W
W
L
W
W
D
L
Strength rank: MSV Duisburg 1st of 20 · Viktoria Köln 7th of 20
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 20 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 →MSV Duisburg vs Viktoria Köln: Over 2.5 & BTTS?
3. Liga
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 3. Liga gamesBTTS = both teams scoredMSV Duisburg and Viktoria Köln games both go over 2.5 goals more often than the 3. Liga average (65%).
Over 2.5 goalsleague 65%
MSV Duisburg8 of 10
Viktoria Köln7 of 10
BTTSleague 63%
MSV Duisburg7 of 10
Viktoria Köln5 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 350 games played here in the last 12 months.
How we measure →MSV Duisburg vs Viktoria Köln corners, cards and goal times
3. Liga
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 gameGoal times close to the 3. Liga average
MSV Duisburg
Viktoria Köln
7.1
Corners won · league 5.2
4.9
3.0
Corners conceded · league 5.2
5.4
1.7
Cards · league 2.4
2.0
3.0
Opponents' cards · league 2.4
3.3
32%
Goals before half-time · league 45%
32%
23%
Goals after 75' · league 23%
27%
33%
Conceded before half-time · league 45%
54%
22%
Conceded after 75' · league 23%
8%
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 →