Tacoma Galaxy W vs Bigfoot W - Statistical Analysis, Historical Data & AI Match Projections
Tacoma Galaxy W€53.60m0 – 0
0-1–0
Alternative high-probability score range based on the stats. The main score above remains the primary StatsBrain AI statistical projection.
Bigfoot WN/AStatsBrain AI: Tacoma Galaxy W · 69% confidence
Match Statistics
0Goals0
12Possession %88
1.16xG0.19
5Total Shots1
1Shots on Target0
58Dangerous Attacks20
4Corners0
AI Insights
Match analysis is currently unavailable. Our AI models are compiling the latest data.
⚡ Solid defense: Bigfoot W kept a clean sheet in 5 of their last 6 games.
⚡ Solid defense: Bigfoot W kept a clean sheet in 4 of their last 5 games.
⚡ Offensive consistency: Bigfoot W has scored at least one goal in all of their last 5 matches.
Statistical Scenarios
Maximum Probability
Awaiting Data
Mathematical Opportunity
Awaiting Data
Combined Projection
Over 0.5 & Under 6.5 (1-6 Goals)67%
Head to Head
2 matches0Draws
League Standings
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Performance Radar
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Upcoming Match Projections · USL W League
10 matchesLeague →
- 4 Jun
Patuxent W0 – 6Northern Virginia FC W
- 4 Jun
Capo W3 – 0OC Sporting W
- 4 Jun
Brevard Riptide W1 – 3Fort Lauderdale Utd II W
- 4 Jun
Port City NC W1 – 1United Bantams W
- 4 Jun
Real Colorado Foxes1 – 0Colorado Storm W
- 4 Jun
One Knoxville0 – 3Asheville City W
- 4 Jun
NC Courage II W1 – 0Wake W
- 4 Jun
Tacoma Galaxy W0 – 5Salmon Bay W
- 4 Jun
Flower City 1872 W1 – 1Buffalo W
- 4 Jun
Virginia DA4 – 0Virginia Beach United W
Recent Results · USL W League
10 matchesLeague →
- 2 Jun
AC Connecticut W0 – 7Vermont Green
- 2 Jun
North Carolina Fusion W0 – 2Carolina Ascent II W
- 2 Jun
Snohomish United4 – 0Bigfoot W
- 1 Jun
OC Sporting W1 – 6Los Angeles SC W
- 31 May
Swarm1 – 0One Knoxville
- 31 May
Tacoma Galaxy W0 – 0Portland Cherry Bombs
- 31 May
Cleveland Force W3 – 2Steel City W
- 31 May
Albion Colorado W2 – 1Flatirons II W
- 31 May
Sioux Falls City W2 – 1Rally Madison
- 31 May
Patuxent W0 – 6Lancaster Inferno W
Analysis and simulations are produced by the StatsBrain AI engine and reviewed by our editorial team. Learn how we model outcomes in our methodology and who publishes StatsBrain on About.