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| Date | Match | Score |
|---|
| Date | Match | Score | Res |
|---|---|---|---|
| 10.09.2026 | San Diego - San Jose Earthquakes | 2 - 3 | L |
| 05.09.2026 | Orlando City SC - San Diego | 1 - 0 | L |
| 30.08.2026 | San Diego - Los Angeles Galaxy | 3 - 1 | W |
| 23.08.2026 | San Diego - Colorado Rapids | 3 - 0 | W |
| 20.08.2026 | Portland Timbers - San Diego | 3 - 1 | L |
| Date | Match | Score | Res |
|---|---|---|---|
| 09.09.2026 | Philadelphia Union - FC Cincinnati | 5 - 0 | W |
| 05.09.2026 | Philadelphia Union - CF Montreal | 2 - 0 | W |
| 29.08.2026 | New York Red Bulls - Philadelphia Union | 1 - 3 | W |
| 23.08.2026 | Austin - Philadelphia Union | 1 - 1 | D |
| 19.08.2026 | Philadelphia Union - Inter Miami | 2 - 2 | D |
The upcoming match between San Diego and Philadelphia Union is scheduled for 14.09.2026 01:00 in Major League Soccer. The analysis uses only stored statistics, form, head-to-head records, trend percentages and active Premium market signals. It does not guarantee a particular result.
Standings and season form
San Diego are in position 9 with 30 points after 24 matches. The season record is 8 wins, 6 draws and 10 losses. The goals record is 42 scored and 37 conceded. The stored form sequence is LLWWL. Philadelphia Union are in position 9 with 30 points after 24 matches. The season record is 8 wins, 6 draws and 10 losses. The goals record is 41 scored and 39 conceded. The stored form sequence is WWWDD.
San Diego recorded 5 wins, 1 draws and 4 losses across the last 10 completed matches. The newest-to-oldest result sequence is LLWWLWWWLD. The averages are 1.60 goals scored and 1.40 goals conceded per match. Both teams scored in 60% of those matches, while 60% finished with over 2.5 goals. Philadelphia Union recorded 6 wins, 2 draws and 2 losses across the last 10 completed matches. The newest-to-oldest result sequence is WWWDDWLWLW. The averages are 2.20 goals scored and 1.20 goals conceded per match. Both teams scored in 60% of those matches, while 60% finished with over 2.5 goals.
The highest stored values are: Over 0.5 first-half goals — 80%; Over 1.5 goals — 80%; Both teams to score — 60%; Over 2.5 goals — 60%; Over 1.5 first-half goals — 50%. They are statistical indicators and are not automatically converted into a prediction.
The normalized movement for the Asian pair San Diego -0.5 / Philadelphia Union +0.5 supports Philadelphia Union by an average 2.02 percentage points across 3 bookmakers (Pinnacle, Bet365, Unibet) with up to 30 stored observations. This is a market signal, not a result guarantee.
2 active football Premium signals are stored for this fixture. Odd/Even — Odd (odds 2). At least one goal in the match (quota 19, score 82/100, 81.73% group success rate across 1609 observations).
The discipline profile for San Diego at home is based on 13 matches. The team averages 1.92 yellow cards, 0.38 red cards and 2.31 total cards per match. At least 1, 2, 3, 4 and 5 cards were recorded in 76.9%, 53.8%, 46.2%, 38.5% and 7.7% of those matches respectively, while a red card occurred in 38.5%. Season card data is available for 24 of 24 completed matches (100.0% coverage). The discipline profile for Philadelphia Union away from home is based on 12 matches. The team averages 2.83 yellow cards, 0.17 red cards and 3.00 total cards per match. At least 1, 2, 3, 4 and 5 cards were recorded in 91.7%, 91.7%, 66.7%, 41.7% and 8.3% of those matches respectively, while a red card occurred in 16.7%. Season card data is available for 24 of 24 completed matches (100.0% coverage).
The match between San Diego and Philadelphia Union ended 0-5. The game produced 5 goals in total. The first half contained 1 goal. The following review compares the final result only with historical data, the discipline profile, trend values and Premium signals locked before kickoff.
Before kickoff, the stored trend indicated BTTS at 60%. The actual outcome was No BTTS. The stored trend was not confirmed by the result. Before kickoff, the stored trend indicated Over 1.5 at 80%. The actual outcome was Over 1.5. The stored trend was confirmed by the result. Before kickoff, the stored trend indicated Over 2.5 at 60%. The actual outcome was Over 2.5. The stored trend was confirmed by the result. Before kickoff, the stored trend indicated Over 0.5 HT at 80%. The actual outcome was Over 0.5 HT. The stored trend was confirmed by the result.
Before kickoff, the discipline profile for San Diego at home was based on 13 matches, with averages of 1.92 yellow cards, 0.38 red cards and 2.31 total cards per match. In this game, San Diego received 2 yellow cards and 0 red cards, 2 in total. That was 0.31 cards below the stored average. In the pre-match sample, 3+ cards occurred in 46.2% of matches, 5+ in 7.7%, and a red card in 38.5%. Before kickoff, the discipline profile for Philadelphia Union away from home was based on 12 matches, with averages of 2.83 yellow cards, 0.17 red cards and 3 total cards per match. In this game, Philadelphia Union received 2 yellow cards and 0 red cards, 2 in total. That was 1 cards below the stored average. In the pre-match sample, 3+ cards occurred in 66.7% of matches, 5+ in 8.3%, and a red card in 16.7%.
The Asian-handicap signal locked before kickoff supported Philadelphia Union at +0.5. The stored market movement was 2.02 percentage points across 3 bookmakers. At the final score of 0-5, the line settled as a full win. The Asian-handicap signal was confirmed.
The stored Premium market was Odd at odds of 2. The actual market outcome was Odd. The Premium signal was confirmed. The stored Premium market was At least one FT goal with quota 19. The actual market outcome was At least one FT goal. The Premium signal was confirmed.
Of 7 verifiable pre-match indicators, 6 aligned with the final result and 1 were not confirmed. This is a post-match verification of data stored before kickoff, not a revision of the analysis after the match ended.