USL League Two — xG (Expected Goals)
USA · 2026
USA — USL League Two 2026 — Detailed Stats
Expected Goals (xG)
xG data available for 5 games| # | Team | MP | xGF | xGF/g | xGA | xGA/g | GF | GA | Diff |
|---|---|---|---|---|---|---|---|---|---|
| 1 |  Snohomish United | 5 | 11.7 | 2.34 | 7.3 | 1.46 | 40 | 20 | +28.3 |
| 2 |  Sportivo San Juan | 2 | 10.2 | 5.12 | 5.8 | 2.93 | 21 | 35 | +10.8 |
| 3 |  Tucson | 3 | 8.3 | 2.76 | 3.4 | 1.14 | 19 | 12 | +10.7 |
| 4 |  Laredo Heat | 1 | 6.8 | 6.83 | 1.0 | 0.98 | 41 | 16 | +34.2 |
| 5 |  Marin | 2 | 5.8 | 2.93 | 10.2 | 5.12 | 25 | 45 | +19.2 |
| 6 |  Midlakes United | 3 | 5.4 | 1.79 | 5.4 | 1.79 | 24 | 25 | +18.6 |
| 7 |  New England FC | 1 | 4.9 | 4.88 | 1.9 | 1.95 | 32 | 24 | +27.1 |
| 8 |  Academica | 1 | 4.9 | 4.88 | 3.4 | 3.41 | 28 | 36 | +23.1 |
| 9 |  Edgewater Castle | 1 | 4.4 | 4.39 | 3.9 | 3.90 | 15 | 45 | +10.6 |
| 10 |  Stars FC | 2 | 4.4 | 2.20 | 5.8 | 2.93 | 22 | 22 | +17.6 |
| 11 |  Bigfoot | 3 | 4.4 | 1.46 | 4.4 | 1.46 | 15 | 43 | +10.6 |
| 12 |  West Seattle Junction | 2 | 4.4 | 2.20 | 6.3 | 3.17 | 25 | 30 | +20.6 |
| 13 |  Rockford Raptors | 1 | 3.9 | 3.90 | 4.4 | 4.39 | 19 | 25 | +15.1 |
| 14 |  Davis Legacy | 1 | 3.4 | 3.41 | 4.9 | 4.88 | 20 | 39 | +16.6 |
| 15 |  Peoria | 2 | 3.4 | 1.71 | 3.9 | 1.96 | 39 | 19 | +35.6 |
| 16 |  Sueno | 1 | 2.9 | 2.93 | 1.5 | 1.46 | 43 | 16 | +40.1 |
| 17 |  Western Mass Pioneers | 2 | 2.9 | 1.47 | 2.0 | 0.98 | 27 | 20 | +24.1 |
| 18 |  San Francisco City | 1 | 2.4 | 2.44 | 0.0 | 0.00 | 45 | 23 | +42.6 |
| 19 |  Tacoma Stars | 3 | 2.0 | 0.65 | 2.4 | 0.81 | 25 | 30 | +23 |
| 20 |  The Villages | 1 | 1.9 | 1.95 | 0.5 | 0.49 | 25 | 13 | +23.1 |
| 21 |  Long Island Rough Riders | 1 | 1.9 | 1.95 | 1.0 | 0.98 | 31 | 12 | +29.1 |
| 22 |  West Chester United | 2 | 1.9 | 0.98 | 1.0 | 0.49 | 18 | 19 | +16.1 |
| 23 |  Blackwatch Rush | 1 | 1.9 | 1.95 | 4.9 | 4.88 | 22 | 35 | +20.1 |
| 24 |  City SC | 3 | 1.5 | 0.49 | 3.9 | 1.30 | 23 | 27 | +21.5 |
| 25 |  Flint City Bucks | 1 | 1.5 | 1.46 | 0.5 | 0.49 | 47 | 14 | +45.5 |
| 26 |  Capo | 1 | 1.5 | 1.46 | 1.9 | 1.95 | 29 | 27 | +27.5 |
| 27 |  AC Connecticut | 1 | 1.0 | 0.98 | 2.4 | 2.44 | 18 | 29 | +17 |
| 28 |  Black Rock | 1 | 1.0 | 0.98 | 0.5 | 0.49 | 22 | 17 | +21 |
| 29 |  Cedar Stars Rush | 1 | 1.0 | 0.98 | 1.9 | 1.95 | 19 | 18 | +18 |
| 30 |  Bangers | 1 | 1.0 | 0.98 | 2.9 | 2.93 | 22 | 17 | +21 |
| 31 |  Delaware FC | 1 | 1.0 | 0.98 | 0.5 | 0.49 | 29 | 24 | +28 |
| 32 |  Hill Country Lobos | 1 | 1.0 | 0.98 | 6.8 | 6.83 | 23 | 35 | +22 |
| 33 |  St. Louis Ambush | 1 | 1.0 | 0.98 | 1.9 | 1.95 | 17 | 20 | +16 |
| 34 |  Steel City | 1 | 0.5 | 0.49 | 1.5 | 1.46 | 22 | 5 | +21.5 |
| 35 |  Sporting Jax 2 | 1 | 0.5 | 0.49 | 1.9 | 1.95 | 6 | 12 | +5.5 |
| 36 |  AMSG | 1 | 0.5 | 0.49 | 1.0 | 0.98 | 11 | 39 | +10.5 |
| 37 |  Ballard | 1 | 0.0 | 0.00 | 0.0 | 0.00 | 48 | 16 | +48 |
| 38 |  Chicago Dutch Lions | 1 | 0.0 | 0.00 | 0.0 | 0.00 | 24 | 26 | +24 |
| 39 |  Virginia Marauders | 1 | 0.0 | 0.00 | 0.0 | 0.00 | 7 | 45 | +7 |
| 40 |  Lone Star II | 1 | 0.0 | 0.00 | 1.5 | 1.46 | 25 | 34 | +25 |
| 41 |  Rochester | 1 | 0.0 | 0.00 | 0.0 | 0.00 | 9 | 39 | +9 |
| 42 |  Project 51O | 1 | 0.0 | 0.00 | 2.4 | 2.44 | 38 | 19 | +38 |
| 43 |  Bethesda SC | 1 | 0.0 | 0.00 | 0.0 | 0.00 | 31 | 31 | +31 |
xGF = xG For (created)xGA = xG Against (conceded)Diff = GF − xGF (over/under-performing)
* xG estimated from shots on goal using the league's average conversion rate. API xG data is not available for this league.
xG Attack Ranking
LEAGUE xG STATS
43 teams with xG data
League avg xGF/g: 1.79
League avg xGA/g: 1.88
Best overperformer: Ballard (+48.0)
USL League Two (USA) — Expected Goals (xG) Analysis
The USL League Two (USA) averages 1.58 xG per game this season. Tucson creates the most chances with 2.76 xGF per game, while City SC creates the fewest with 0.49 xGF per game. Snohomish United is over-performing their xG (40 goals vs 11.7 xGF) — regression likely.
Betting Angle — xG & Regression Markets
xG is the most powerful predictor of future performance — teams that consistently over-perform their xG (scoring more than expected) tend to regress. Look for under-performing high-xG teams as value opportunities in match result markets, especially Asian Handicap and Both Teams To Score.
Expected Goals (xG) — USA
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