Always chasing
8/10Minnesota United conceded first in 8 of their last 10 (league 48%).
Minnesota United vs St. Louis City Prediction, Stats & Betting Tips
Major League Soccer - Season 2026
Unlucky
Minnesota United 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. St. Louis City are the other way round, ahead of their chances: about +7 points.
Minnesota United vs St. Louis City score prediction
Major League Soccer
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
3.3 goals in total, a little over the Major League Soccer average of 3.2.
goals expected
Minnesota United1.8
St. Louis City1.5Calculated 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 Minnesota United vs St. Louis City will be played on Saturday, October 17 as part of the 2026 season. This fixture will be played in the of the Major League Soccer, played in USA. On this page, you’ll find our detailed football prediction for Minnesota United vs St. Louis City, 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.
Minnesota United vs St. Louis City — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for Minnesota United vs St. Louis City. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Minnesota United–
St. Louis City–Winner
1X 68%
BTTS*
Yes 53%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 52%
Over/Under 3.5 goals
under 63%
Minnesota United–St. Louis City–Winner
1X 68%
BTTS*
Yes 53%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 52%
Over/Under 3.5 goals
under 63%
Full Time
140%
X28%
232%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 28% | 72% | 52% | 48% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 63% | 37% | 85% | 15% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 28% | 72% | 61% | 39% |
| 34% | 66% | 67% | 33% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 83% | 17% | 94% | 6% |
| 88% | 12% | 96% | 4% |
1st Half
135%
X41%
223%
1st Score
152%
X8%
240%
Half Time/Full Time
1-1
26%
2-2
16%
X-1
14%
X-X
14%
X-2
11%
1-X
7%
2-X
6%
1-2
3%
2-1
3%
Correct Score
1-1
12.3%
1-0
10.4%
0-1
8.9%
0-0
8.4%
2-1
8.3%
1-2
7.4%
2-0
6.4%
2-2
5.8%
0-2
5.3%
3-1
3.9%
3-0
3.2%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Minnesota United vs St. Louis City: the stats that stand out
Major League Soccer
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%Minnesota United: always chasing, leaky and always on the scoresheet
8/10Leaky
0/10Minnesota United kept no clean sheet in their last 10 (league 21%).
Always on the scoresheet
0/10Minnesota United scored in all of their last 10 (league 21% fail to score).
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 →Minnesota United vs St. Louis City: attack vs defence
Major League Soccer
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 Major League Soccer teamsleague averagelast 10 games↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
- Minnesota United: good attack, weak defence (1.79 xG, 1.76 xGA a game)
- St. Louis City: weak attack, good defence (1.47 xG, 1.26 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 →Minnesota United vs St. Louis City form and luck check
Major League Soccer
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 Major League Soccer gamesSt. Louis City riding their luck, Minnesota United unlucky
- Minnesota United−8.4
- St. Louis CityClinical · +9 goals+6.5
Last 5 matches
St. Louis CityW
W
W
D
W
Minnesota UnitedL
L
L
L
L
W
D
L
Strength rank: Minnesota United 18th of 30 · St. Louis City 7th of 30
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 30 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 →Minnesota United vs St. Louis City: Over 2.5 & BTTS?
Major League Soccer
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 Major League Soccer gamesBTTS = both teams scoredBoth teams score in Minnesota United and St. Louis City games more often than the Major League Soccer average (63%).
Over 2.5 goalsleague 64%
Minnesota United8 of 10
St. Louis City8 of 10
BTTSleague 63%
Minnesota United10 of 10
St. Louis City9 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 455 games played here in the last 12 months.
How we measure →Minnesota United vs St. Louis City corners, cards and goal times
Major League Soccer
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 gameSt. Louis City score early
Minnesota United
St. Louis City
5.6
Corners won · league 5.0
4.3
4.9
Corners conceded · league 5.0
5.2
1.9
Cards · league 2.1
2.2
1.6
Opponents' cards · league 2.1
2.2
43%
Goals before half-time · league 46%
60%
14%
Goals after 75' · league 24%
12%
48%
Conceded before half-time · league 46%
31%
28%
Conceded after 75' · league 24%
31%
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
St. Louis City2/5
Minnesota United3/5
Both Teams to Score
St. Louis City4/5
Minnesota United5/5
Over/Under 2.5 Goals
St. Louis City5/5
Minnesota United4/5
Over/Under 3.5 Goals
St. Louis City1/5
Minnesota United1/5
First Half Result
St. Louis City3/5
Minnesota United2/5
Correct Score
St. Louis City0/5
Minnesota United0/5
correct predictionwrong prediction