# San Diego vs Dallas > Major League Soccer · Kickoff Sun 26 Jul 2026, 01:30 UTC · [Canonical HTML](https://betsprinter.com/fixtures/37147) **Status:** Scheduled ## Model verdict - **San Diego win:** 36% - **Draw:** 22% - **Dallas win:** 42% - **Source:** model ## Top published picks | Market | Selection | Best odds | Bookmaker | Model % | Edge | | --- | --- | ---: | --- | ---: | ---: | | totals | Under | 2.90 | 10Bet | 54% | +19.9 pp | ## Pre-match deep dive ### Home edge versus form questions defines the narrow call ## The stage Sunrise time in the standings arrives on Sun 26 Jul 2026, 01:30 UTC for this Major League Soccer fixture, with San Diego hosting Dallas in a match that can nudge both teams’ league trajectories depending on results[^fact-1]. The model treats the home side as the marginal favorite, but the margin is not large and merits scrutiny[^fact-2]. ## Form & momentum Recent runs paint contrasting pictures. San Diego’s ten-match sequence reads LLDWD (1-3-6), producing 0.60 points per game while averaging 1.70 goals scored and 2.00 conceded per match — a profile that flags defensive fragility and anemic points returns[^fact-4]. Dallas arrives on a steadier streak: DWWLW (4-3-3), 1.50 points per game, with 1.80 goals scored and 1.50 conceded per match, a clearer return on both ends of the pitch[^fact-5]. Elo of the fixture gives San Diego a modest edge: an Elo differential of +16 points with home advantage applied, signalling a slight structural advantage for the hosts rather than a dominant gulf between the sides[^fact-3]. Taken together, form favors Dallas on recent results while Elo and home status nudge San Diego into the marginally more likely outcome per model judgement[^fact-5][^fact-3]. ## Personnel San Diego’s attacking pulse has been driven recently by Marcus Ingvartsen, who has four goals and zero assists in his last five appearances, carrying an average match rating of 7.25 — an in-form finisher the hosts will rely on for chance conversion[^fact-6]. Defensively, San Diego will be weakened by the absence of Jeppe Tverskov (injury), who logged 351 minutes in the recent run and whose omission removes a steadying presence from the backline[^fact-8]. Dallas counters with Petar Musa in form: three goals and one assist across his last four appearances, averaging a 6.94 rating — a forward contributing both goals and a chance-creation element[^fact-7]. Dallas’ rotation options will be shuffled by the absence of Bernard Kamungo (injury), who featured 28 minutes in the recent run and whose small recent minutes suggest a lighter impact but still a missing body for squad depth[^fact-9]. Availability swings the balance: San Diego loses a heavily used defensive piece, while Dallas misses a player with limited recent minutes; that contrast matters when assessing how fragile San Diego’s 2.00 conceded per match figure may be against Dallas’ attacking returns[^fact-8][^fact-9][^fact-5][^fact-4]. ## Where the model sees value The model split sits Home 45% / Draw 24% / Away 31%, signalling a clear single-point favourite rather than a blowout and leaving room for market divergence across three markets analysed vs the model[^fact-2][^fact-10]. The primary edges are structural: the model leans to the home win on the basis of applied home advantage and a +16 Elo differential, while also acknowledging Dallas’ superior recent points-per-game and healthier goals balance[^fact-3][^fact-5][^fact-4]. Markets that overplay San Diego’s defensive stability could be vulnerable given the club’s 2.00 goals-conceded rate and the loss of a 351-minute defensive regular[^fact-4][^fact-8]. Conversely, markets that underprice Dallas’ recent forward productivity and higher points-per-game may be misreading form momentum: Dallas’ 1.50 PPG with a 1.80/1.50 goals for/against split suggests a team capable of squeezing results away from home[^fact-5]. The model percentages articulate that tension: a home lean with a meaningful non-negligible chance for a draw or away outcome, which is where the three compared markets showed the most variance from the model[^fact-2][^fact-10]. ## Verdict The model’s lean is a home win but in narrow terms: Home 45%, Draw 24%, Away 31% — San Diego has the marginal Elo and venue edge, but Dallas’ recent form and goal balance mean this should be approached as a close contest rather than a one-sided affair[^fact-2][^fact-3][^fact-5]. ### Cited facts [^fact-1]: **Kickoff** — Sun 26 Jul 2026, 01:30 UTC — Major League Soccer [^fact-2]: **Model verdict** — Home 45% / Draw 24% / Away 31% (source: odds; confidence mid, 14 pp gap to runner-up). [^fact-3]: **Elo edge** — SDL vs DAL — Elo differential +16 points (with home advantage applied). [^fact-4]: **SDL recent form** — LLDWD last 10: 1-3-6 (W-D-L), 0.60 PPG, 1.70 goals scored / 2.00 conceded per match. [^fact-5]: **DAL recent form** — DWWLW last 10: 4-3-3 (W-D-L), 1.50 PPG, 1.80 goals scored / 1.50 conceded per match. [^fact-6]: **SDL in-form player** — Marcus Ingvartsen — 4 goals, 0 assists in last 5 appearances, avg rating 7.25. [^fact-7]: **DAL in-form player** — Petar Musa — 3 goals, 1 assists in last 4 appearances, avg rating 6.94. [^fact-8]: **SDL key absence** — Jeppe Tverskov  out (injury), 351 minutes in recent run. [^fact-9]: **DAL key absence** — Bernard Kamungo out (injury), 28 minutes in recent run. [^fact-10]: **Markets analysed** — 3 market(s) compared against the model. --- Methodology: . Canonical HTML: .