Statistics / Football / USA. Major League Soccer / Real Salt Lake vs New York City FC

Real Salt Lake vs New York City FC Statistics & Analysis

Real Salt Lake Real Salt Lake
Sep 13, 2026 - 01:30
0 1.63
2 1.54
xG Accuracy: 56%
New York City FC New York City FC
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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 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Real Salt Lake New York City FC ✖ Incorrect
  • Correct Score Insights 1-1, 2-1, 1-2, 1-0, 2-2 0-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 00:50 UTC Snapshot ID: dp-7419176

Closing Odds 3.59
AI Fair Odds —
CLV +0.0%
Final Result New York City FC win · Real Salt Lake 0–2 New York City FC
Prediction ✖ Missed
Decision Grade F

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 New York City FC (1X2), Over 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 New York City FC (1X2) by about 5.7 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Real Salt Lake (1X2) 40.9 45.8 -4.9
Draw (1X2) 26.4 27.2 -0.8
New York City FC (1X2) 32.6 26.9 +5.7
Over 2.5 goals 61.4 59.1 +2.2
Under 2.5 goals 38.6 40.9 -2.2
What this means

In plain terms: the model lands near 32.6% on New York City FC (1X2), while the closing snapshot implied about 26.9%. The difference — about 5.7 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)
Real Salt Lake (1X2) 2.11 2.11 0.0
Draw (1X2) 3.55 3.55 0.0
New York City FC (1X2) 3.59 3.59 0.0
Over 2.5 goals 1.63 1.63 0.0
Under 2.5 goals 2.36 2.36 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: Real Salt Lake vs New York City FC
  • Kickoff: 2026-09-13 01:30:00
  • 1X2 (model): Home 40.9% · Draw 26.4% · Away 32.6%
  • xG (showing): Real Salt Lake 1.63 — New York City FC 1.54 (total xG ≈ 3.17)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Over 2.5 goals
  • Model: 61.4% · Implied: 57.8% · Probability edge: +3.6 pts · Est. EV: +4.4%
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match 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

October 01, 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 26 15 5 6 50
2 FC Dallas 27 13 8 6 47
3 San Jose Earthquakes 27 13 6 8 45
4 Houston Dynamo 27 13 5 9 44
5 St. Louis City 26 12 8 6 44
6 Los Angeles FC 28 11 8 9 41
7 Colorado Rapids 27 11 3 13 36
8 Los Angeles Galaxy 28 9 9 10 36
9 Seattle Sounders 26 9 8 9 35
10 Portland Timbers 27 9 5 13 32
11 Real Salt Lake 27 9 5 13 32
12 San Diego 27 8 8 11 32
13 Austin 27 7 10 10 31
14 Minnesota United FC 27 7 8 12 29
15 Sporting Kansas City 26 6 3 17 21
# TEAM MP GS GC +/- PTS
1 Vancouver Whitecaps 26 59 26 +33 50
2 FC Dallas 27 50 42 +8 47
3 San Jose Earthquakes 27 49 39 +10 45
4 Portland Timbers 27 48 51 -3 32
5 San Diego 27 47 47 0 32
6 St. Louis City 26 45 36 +9 44
7 Los Angeles FC 28 43 30 +13 41
8 Real Salt Lake 27 40 44 -4 32
9 Minnesota United FC 27 40 49 -9 29
10 Colorado Rapids 27 38 38 0 36
11 Los Angeles Galaxy 28 37 44 -7 36
12 Austin 27 35 47 -12 31
13 Houston Dynamo 27 34 32 +2 44
14 Seattle Sounders 26 33 34 -1 35
15 Sporting Kansas City 26 31 63 -32 21
# TEAM MP xG xGC +/- PTS
1 Vancouver Whitecaps 26 15.4 7.0 +8.4 50
2 St. Louis City 26 16.2 8.0 +8.2 44
3 Colorado Rapids 27 12.7 7.5 +5.2 36
4 Portland Timbers 27 19.0 14.2 +4.8 32
5 Minnesota United FC 27 17.8 13.3 +4.5 29
6 San Diego 27 14.7 12.0 +2.7 32
7 San Jose Earthquakes 27 13.6 13.1 +0.5 45
8 Houston Dynamo 27 11.6 11.1 +0.5 44
9 Los Angeles FC 28 14.5 15.8 -1.3 41
10 FC Dallas 27 10.4 11.7 -1.3 47
11 Austin 27 9.5 13.7 -4.2 31
12 Seattle Sounders 26 10.6 15.4 -4.8 35
13 Real Salt Lake 27 14.2 19.2 -5.0 32
14 Sporting Kansas City 26 9.8 18.2 -8.4 21
15 Los Angeles Galaxy 28 11.2 21.1 -9.9 36
Major League Soccer USA. Major League Soccer Predictions