Orlando City SC vs San Diego Prediction, Tips & Odds
Orlando City SC vs San Diego
Match Preview
The model favours San Diego to win this match with a projected scoreline of 2-1. San Diego currently sits in 13th place in the standings, having accumulated 24 points from 20 matches. Their season has been marked by a balanced attack, scoring 34 goals while conceding only 32, resulting in a positive goal difference of 2. Recent form has been encouraging for San Diego, with three wins in their last five matches, indicating they are finding their rhythm. Orlando City SC, on the other hand, is positioned 10th, with a total of 21 points after 20 games. Their season has been challenging, highlighted by a negative goal difference of -18, conceding 50 goals while scoring only 32. Their recent form shows only one win in the last five matches, which raises concerns about their ability to consistently secure points. The model output suggests a win probability of approximately 45% for San Diego, with a projected score of 2-1. However, a potential caveat is Orlando's home advantage, which could influence the match outcome. For a deeper understanding of our prediction, please refer to the "How We Reached This Prediction" section, where The Daily Punt Analysis Team outlines our in-house model that evaluates fixtures based on expected goals and actual results throughout the season.
Betting Predictions
How the model works, and its full prediction record, are set out on our How It Works and Accuracy pages.
Both attacks have been productive in recent matches, with regular goal-scoring on either side.
Combined goal output is high (3.5 per game). The over has been the right side more often than not.
The most likely scoreline per our model at 12.0% probability.
Orlando City SC have been the stronger side, winning 36% of their matches.
Our model projects a 1-1 draw as the most likely scoreline at 12.0% probability. These six outcomes together cover the bulk of the projected probability for this fixture.
Lines averaged across 5 bookmakers. Orlando City SC are the favourites on the spread, so the larger handicaps pay more if they win comfortably while the smaller lines protect the bet on a narrower result.
Best Betting Odds
Orlando City SC vs San Diego| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 2.12 | 4.10 | 2.80 | 1.35 | 3.10 | 1.33 | 3.00 | |
| 2.19 | 3.82 | 2.83 | 1.34 | 2.80 | 1.33 | 2.98 | |
| 2.10 | 4.20 | 2.88 | 1.33 | 3.25 | 1.33 | 3.25 | |
| 2.24 | 4.05 | 2.93 | 1.40 | 3.07 | — | — | |
| 2.08 | 3.43 | 2.65 | — | — | — | — | |
| 2.15 | 4.00 | 2.62 | — | — | 1.35 | 3.00 | |
| 2.20 | 3.90 | 3.00 | 1.40 | 2.88 | 1.36 | 3.00 | |
| 2.00 | 3.90 | 3.15 | 1.34 | 3.15 | 1.33 | 3.05 | |
Betano | 2.15 | 3.90 | 3.05 | 1.37 | 3.10 | 1.34 | 3.10 |
BetVictor | 2.20 | 4.00 | 2.75 | 1.33 | 3.13 | 1.30 | 3.20 |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 1 Meetings (evenly matched 0-0)Orlando City SC and San Diego have been evenly matched in this fixture, with 0 wins each and 0 draws across the last 1 meetings. The record offers no clear edge to either side, and the scorelines have stayed mostly tight rather than one-sided.
Major League Soccer Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  Vancouver Whitecaps | 22 | 13 | 4 | 5 | 49 | 21 | 28 | 43 | LWWLW |
| 1 |  Nashville SC | 23 | 16 | 5 | 2 | 47 | 17 | 30 | 53 | DWWWW |
| 2 |  Houston Dynamo | 23 | 12 | 4 | 7 | 30 | 26 | 4 | 40 | DDLWW |
| 2 |  Inter Miami | 23 | 12 | 7 | 4 | 58 | 43 | 15 | 43 | DWLDL |
| 3 |  Chicago Fire | 22 | 11 | 5 | 6 | 43 | 32 | 11 | 38 | DDDWW |
| 3 |  Los Angeles FC | 24 | 10 | 7 | 7 | 38 | 24 | 14 | 37 | DDDLL |
| 8 | Orlando City SC | 23 | 8 | 4 | 11 | 38 | 54 | -16 | 28 | WDWLD |
| 9 | San Diego | 23 | 8 | 6 | 9 | 40 | 34 | 6 | 30 | LWWLW |
| 14 |  Atlanta United FC | 23 | 6 | 4 | 13 | 27 | 40 | -13 | 22 | DLWWW |
| 15 |  CF Montreal | 23 | 5 | 6 | 12 | 30 | 48 | -18 | 21 | LLDWD |
| 15 |  Sporting Kansas City | 23 | 4 | 3 | 16 | 23 | 58 | -35 | 15 | LLLDL |
Venue Record
Current season at home / on the roadKey Statistics
2026 SeasonOrlando City SC have won 8 of their last 20 matches at home, drawing 4 and losing 8. Their recent home fixtures include beat San Diego 1-0 and beat Real Salt Lake 2-1.
Overall, the wider run reads 13W 6D 17L from the last 36 games (36% win rate). The form line has been negative, with defeats outweighing wins across the sample.
San Diego have won 2 of their last 14 matches on the road, drawing 3 and losing 9. Their recent away fixtures include lost to San Diego 1-0 and lost to Portland Timbers 3-1.
Overall, the wider run reads 15W 6D 13L from the last 34 games (44% win rate). The form line is positive, with more wins than defeats across the sample.
Lineups
ConfirmedOrlando City SC4-4-2Confirmed
San Diego4-3-3Confirmed
Unavailable Players
8 playersOrlando City SC5
San Diego3
Betting Strategy
High-probability picks are the most likely outcomes. Value selections are markets where our model's probability sits above the price implied by the odds. They will not always come in, but the odds are in your favour over time.
Yellow Card Prediction
The referee for this fixture has not been confirmed, so we are sitting this card market out.
Corner Prediction
Orlando City SC have averaged 4.6 corners per match at home; San Diego 5.3 on the road. Combined that projects roughly 5.9 corners in this fixture. Our pick is under 9.5 corners at 1.80.
Player Stats Bet
Orlando City SC have generated 1.93 xG per game across their recent matches, winning 36% of them. They put 4.4 shots on target per match, giving their attackers the volume needed to land a goal-involvement bet. Orlando City SC player to score at 1.85 looks well supported by the data.
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The Daily Punt Analysis Team
Data-driven football predictions and betting tips
This forecast was built by the The Daily Punt Analysis Team using our in-house statistical model. We feed the model two layers of data for every fixture: each team's recent expected goals (xG and xGA) and their actual goals scored and conceded, split by home and away venue. The numbers run through a Poisson distribution that produces a probability for every possible scoreline, which we then convert into fair odds for the 1X2, correct score, BTTS, and over/under markets.
Before publishing, we cross-check our fair odds against the prices the major bookmakers are offering. Where a bookmaker is paying out more than our model says is mathematically fair, we flag that market as a value bet on this page.
