Flop as favourites
1/6Ingolstadt won only 1 of 6 as favourites (league 50%).
Ingolstadt vs Rot-Weiss Essen Prediction, Stats & Betting Tips
3. Liga - Season 2026/2027 (Round 10)
Wasteful
Rot-Weiss Essen are scoring fewer goals than their chances (xG) usually bring
−4goals fewer than their chances (xG) in their last 10
77% of teams scoring this many fewer goals than their chances scored more in their next 10 games.
Ingolstadt vs Rot-Weiss Essen 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.
Evenly matched in front of goal
3.5 goals in total, a little over the 3. Liga average of 3.3.
goals expected
Ingolstadt1.6
Rot-Weiss Essen1.8Calculated 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 Ingolstadt vs Rot-Weiss Essen will be played on Saturday, October 17 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 Ingolstadt vs Rot-Weiss Essen, 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.
Ingolstadt vs Rot-Weiss Essen — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for Ingolstadt vs Rot-Weiss Essen. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Ingolstadt–
Rot-Weiss Essen–Winner
X2 66%
BTTS*
Yes 65%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 65%
Over/Under 3.5 goals
over 52%
Ingolstadt–Rot-Weiss Essen–Winner
X2 66%
BTTS*
Yes 65%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 65%
Over/Under 3.5 goals
over 52%
Full Time
134%
X23%
243%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 16% | 84% | 35% | 65% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 48% | 52% | 73% | 27% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 30% | 70% | 58% | 42% |
| 24% | 76% | 51% | 49% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 82% | 18% | 93% | 7% |
| 75% | 25% | 90% | 10% |
1st Half
128%
X36%
236%
1st Score
143%
X4%
253%
Half Time/Full Time
2-2
28%
1-1
19%
X-2
13%
X-X
12%
X-1
10%
2-X
6%
1-X
5%
1-2
4%
2-1
2%
Correct Score
1-1
9.5%
1-2
8.7%
2-1
7.8%
2-2
6.9%
0-1
6.2%
1-0
5.3%
0-2
5.2%
1-3
5.1%
0-0
4.4%
2-0
4.3%
2-3
4.2%
0-3
3.8%
3-1
3.5%
3-2
3.0%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Ingolstadt vs Rot-Weiss Essen: 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%Ingolstadt: flop as favourites · Rot-Weiss Essen: brick wall and hard to break
1/6Brick wall
4/10Rot-Weiss Essen kept 4 clean sheets in their last 10 (league 21%).
Hard to break
3/10Rot-Weiss Essen conceded first in only 3 of their last 10 (league 48%).
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 →Ingolstadt vs Rot-Weiss Essen: 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) →
- Ingolstadt: weak attack, weak defence (1.13 xG, 1.35 xGA a game)
- Rot-Weiss Essen: good attack, good defence (1.75 xG, 1.12 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 →Ingolstadt vs Rot-Weiss Essen 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 results in line with their chances
- Ingolstadt+1.0
- Rot-Weiss EssenWasteful · −4 goals+1.5
Last 5 matches
Rot-Weiss EssenD
W
W
W
D
IngolstadtL
L
W
L
W
W
D
L
Strength rank: Ingolstadt 12th of 20 · Rot-Weiss Essen 2nd 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 →Ingolstadt vs Rot-Weiss Essen: 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 scoredRot-Weiss Essen games go over 2.5 goals less often than the 3. Liga average (65%), Ingolstadt games more often.
Over 2.5 goalsleague 65%
Ingolstadt7 of 10
Rot-Weiss Essen5 of 10
BTTSleague 63%
Ingolstadt6 of 10
Rot-Weiss Essen6 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 →Ingolstadt vs Rot-Weiss Essen 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 gameIngolstadt score early
Ingolstadt
Rot-Weiss Essen
3.5
Corners won · league 5.2
6.4
6.4
Corners conceded · league 5.2
4.2
1.8
Cards · league 2.4
2.5
1.3
Opponents' cards · league 2.4
2.6
65%
Goals before half-time · league 45%
44%
6%
Goals after 75' · league 23%
33%
50%
Conceded before half-time · league 45%
35%
22%
Conceded after 75' · league 23%
24%
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 →