Statistics / Football / USA. Major League Soccer / San Diego vs Philadelphia Union

San Diego vs Philadelphia Union Statistics & Analysis

Sep 14, 2026 - 01:00
0 1.53
5 1.59
xG Accuracy: 26%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Philadelphia Union Philadelphia Union ✔ Correct
  • Correct Score Insights 1-1, 1-2, 2-1, 0-1, 1-0 0-5 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 08, 2026 · 02:18 UTC Snapshot ID: dp-7570951

Closing Odds 2.39
AI Fair Odds —
CLV +0.0%
Final Result Philadelphia Union win · San Diego 0–5 Philadelphia Union
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices San Diego (1X2), Draw (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Under 2.5 goals by about 3.7 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
San Diego (1X2) 35.5 34.2 +1.3
Draw (1X2) 26.5 25.4 +1.1
Philadelphia Union (1X2) 38.0 40.5 -2.4
Over 2.5 goals 60.3 64.0 -3.7
Under 2.5 goals 39.7 36.0 +3.7
What this means

In plain terms: the model lands near 39.7% on Under 2.5 goals, while the closing snapshot implied about 36.0%. The difference — about 3.7 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
San Diego (1X2) 2.83 2.83 0.0
Draw (1X2) 3.81 3.81 0.0
Philadelphia Union (1X2) 2.39 2.39 0.0
Over 2.5 goals 1.5 1.5 0.0
Under 2.5 goals 2.67 2.67 0.0

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Major League Soccer
  • Fixture: San Diego vs Philadelphia Union
  • Kickoff: 2026-09-14 01:00:00
  • 1X2 (model): Home 35.5% · Draw 26.5% · Away 38.0%
  • xG (showing): San Diego 1.53 — Philadelphia Union 1.59 (total xG ≈ 3.12)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 39.7% · Implied: 35.2% · Probability edge: +4.5 pts · Est. EV: +11.2%
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

Use the cards for tiering; this text only restates the same inputs in narrative form.

Correct score remains high-variance even when a line is most likely on paper.

Historical Recommendation

Historical Decision: Primary Bet

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 30, 2026 (UTC)

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Back to Statistics
Major League Soccer Major League Soccer — Standings
# TEAM MP W D L PTS
1 Vancouver Whitecaps 25 15 4 6 49
2 Houston Dynamo 26 13 5 8 44
3 St. Louis City 26 12 8 6 44
4 FC Dallas 26 12 8 6 44
5 San Jose Earthquakes 26 12 6 8 42
6 Los Angeles FC 27 11 8 8 41
7 Colorado Rapids 26 11 3 12 36
8 Los Angeles Galaxy 27 8 9 10 33
9 Portland Timbers 26 9 5 12 32
10 Seattle Sounders 25 8 8 9 32
11 San Diego 26 8 7 11 31
12 Austin 26 7 9 10 30
13 Real Salt Lake 26 8 5 13 29
14 Minnesota United FC 26 7 8 11 29
15 Sporting Kansas City 25 5 3 17 18
# TEAM MP GS GC +/- PTS
1 Vancouver Whitecaps 25 56 23 +33 49
2 FC Dallas 26 49 42 +7 44
3 Portland Timbers 26 47 48 -1 32
4 San Jose Earthquakes 26 46 38 +8 42
5 St. Louis City 26 45 36 +9 44
6 San Diego 26 44 44 0 31
7 Los Angeles FC 27 43 29 +14 41
8 Minnesota United FC 26 39 46 -7 29
9 Real Salt Lake 26 37 44 -7 29
10 Colorado Rapids 26 36 35 +1 36
11 Houston Dynamo 26 34 30 +4 44
12 Los Angeles Galaxy 27 34 42 -8 33
13 Austin 26 32 44 -12 30
14 Seattle Sounders 25 30 33 -3 32
15 Sporting Kansas City 25 29 63 -34 18
# TEAM MP xG xGC +/- PTS
1 Vancouver Whitecaps 25 15.4 7.0 +8.4 49
2 St. Louis City 26 16.2 8.0 +8.2 44
3 Colorado Rapids 26 12.7 7.5 +5.2 36
4 Portland Timbers 26 19.0 14.2 +4.8 32
5 Minnesota United FC 26 17.8 13.3 +4.5 29
6 San Diego 26 14.7 12.0 +2.7 31
7 San Jose Earthquakes 26 13.6 13.1 +0.5 42
8 Houston Dynamo 26 11.6 11.1 +0.5 44
9 Los Angeles FC 27 14.5 15.8 -1.3 41
10 FC Dallas 26 10.4 11.7 -1.3 44
11 Austin 26 9.5 13.7 -4.2 30
12 Seattle Sounders 25 10.6 15.4 -4.8 32
13 Real Salt Lake 26 14.2 19.2 -5.0 29
14 Sporting Kansas City 25 9.8 18.2 -8.4 18
15 Los Angeles Galaxy 27 11.2 21.1 -9.9 33