Always on the scoresheet
0/10Orlando City scored in all of their last 10 (league 21% fail to score).
Orlando City vs Columbus Crew Prediction, Stats & Betting Tips
Major League Soccer - Season 2026
Always on the scoresheet
Orlando City scored in all of their last 10 (league 21% fail to score).
0/10Failed to score · Orlando City
Bookmakers: Orlando City 45% to winColumbus Crew 31%
Orlando City vs Columbus Crew 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
3.4 goals in total, a little over the Major League Soccer average of 3.2.
goals expected
Orlando City1.8
Columbus Crew1.6Calculated 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 Orlando City vs Columbus Crew: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
Orlando City vs Columbus Crew — Our Model vs the Bookmakers
Market check · Major League Soccer
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
Orlando City to win
Our model 42%Bookmakers 45%
Our track record
In 3,525 matches over the last 12 months where our model gave the same pick a 40–45% chance and the bookmakers agreed, it came true 46.6% of the time (bookmakers said 46.8%).
Both Teams to Score →Agrees with bookmakers
Our model’s pick
Yes, both score
Our model 63%Bookmakers 70%
Our track record
In 2,395 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 62.8% of the time (bookmakers said 61.5%).
Over/Under 2.5 Goals →Agrees with bookmakers
Our model’s pick
Over 2.5 goals
Our model 61%Bookmakers 68%
Our track record
In 3,029 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 61.7% of the time (bookmakers said 62.5%).
Over/Under 3.5 Goals →Agrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 61%Bookmakers 52%
Our track record
In 2,302 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 63.2% of the time (bookmakers said 62.9%).
First Half Result →Disagrees with bookmakers
Our model’s pick
Draw at half-time
Our model 37%Bookmakers 36%
Our track record
In 1,173 matches over the last 12 months where our model gave the same pick a 35–40% chance but the bookmakers favoured a different outcome, it came true 36.1% of the time (bookmakers said 35.2%).
Orlando City Goals →Disagrees with bookmakers
Our model’s pick
Orlando City 0–1 goals
Our model 53%Bookmakers 40%
Our track record
In 1,821 matches over the last 12 months where our model gave the same pick a 50–55% chance but the bookmakers favoured a different outcome, it came true 41.9% of the time: closer to the bookmakers’ 43.8% than to our 50–55%.
Columbus Crew Goals →Agrees with bookmakers
Our model’s pick
Columbus Crew 0–1 goals
Our model 59%Bookmakers 54%
Our track record
In 1,565 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 59.6% of the time (bookmakers said 61.0%).
Odds can still move before kick-off. The track record uses closing odds.
Orlando City vs Columbus Crew — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for Orlando City vs Columbus Crew. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Orlando City–
Columbus Crew–Winner
1X 65%
BTTS*
Yes 63%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 51%
Orlando City–Columbus Crew–Winner
1X 65%
BTTS*
Yes 63%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 51%
Full Time
142%
X23%
235%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 18% | 82% | 39% | 61% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 51% | 49% | 76% | 24% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 24% | 76% | 53% | 47% |
| 30% | 70% | 59% | 41% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 78% | 22% | 92% | 8% |
| 81% | 19% | 93% | 7% |
1st Half
130%
X37%
233%
1st Score
148%
X4%
248%
Half Time/Full Time
1-1
23%
2-2
22%
X-1
14%
X-X
12%
X-2
11%
2-X
6%
1-X
5%
1-2
4%
2-1
4%
Correct Score
1-1
10.2%
2-1
8.8%
1-2
7.7%
1-0
7.6%
2-2
6.2%
2-0
6.1%
0-1
6.0%
3-1
4.7%
0-2
4.5%
0-0
4.4%
1-3
4.0%
2-3
3.7%
3-2
3.6%
3-0
3.4%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Orlando City vs Columbus Crew: 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%Orlando City: always on the scoresheet and always chasing
0/10Always chasing
7/10Orlando City conceded first in 7 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 →Orlando City vs Columbus Crew: 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) →
- Orlando City: good attack, weak defence (1.64 xG, 1.74 xGA a game)
- Columbus Crew: weak attack, good defence (1.21 xG, 1.37 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 →Orlando City vs Columbus Crew 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 gamesBoth results in line with their chances
- Orlando CityBookmakers: 45% to win today.+0.6
- Columbus CrewBookmakers: 31% to win today.−2.5
Last 5 matches
Orlando CityL
L
W
W
L
Columbus CrewW
W
L
L
L
W
D
L
Strength rank: Orlando City 22nd of 30 · Columbus Crew 9th 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 →Orlando City vs Columbus Crew: 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 Orlando City and Columbus Crew games more often than the Major League Soccer average (63%).
Over 2.5 goalsleague 64%
Orlando City8 of 10
Columbus Crew8 of 10
BTTSleague 63%
Orlando City8 of 10
Columbus Crew7 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 →Orlando City vs Columbus Crew 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 gameOrlando City score late
Orlando City
Columbus Crew
4.8
Corners won · league 5.0
4.9
5.4
Corners conceded · league 5.0
3.7
2.0
Cards · league 2.1
2.1
2.3
Opponents' cards · league 2.1
2.3
20%
Goals before half-time · league 46%
40%
40%
Goals after 75' · league 24%
27%
45%
Conceded before half-time · league 46%
65%
15%
Conceded after 75' · league 24%
29%
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
Orlando City4/5
Columbus Crew1/5
Both Teams to Score
Orlando City3/5
Columbus Crew2/5
Over/Under 2.5 Goals
Orlando City4/5
Columbus Crew3/5
Over/Under 3.5 Goals
Orlando City2/5
Columbus Crew5/5
First Half Result
Orlando City2/5
Columbus Crew3/5
Correct Score
Orlando City0/5
Columbus Crew0/5
correct predictionwrong prediction