Columbus Eagles W vs Dayton W — Statistical Analysis, Historical Data & AI Match Projections
WPSL2026-05-16 · 02:00
Columbus Eagles W€53.98m0 – 0
0–0
Alternative high-probability score range based on the stats. The main score above remains the primary StatsBrain AI statistical projection.
Dayton WN/AStatsBrain AI: Draw · 59% confidence
Match Statistics
0Goals0
0Possession %100
0.44xG0.05
0Total Shots0
0Shots on Target0
0Dangerous Attacks0
0Corners0
AI Insights
⚡ Baseline attack: Columbus Eagles W averages 2.0 goals scored per game recently.
⚡ Baseline attack: Dayton W averages 0.5 goals scored per game recently.
⚡ Match dynamics: Games involving Columbus Eagles W average 2.0 total goals.
Statistical Scenarios
Maximum Probability
Awaiting Data
Mathematical Opportunity
Awaiting Data
Combined Projection
X2 & Under 5.5 Goals60%
Head to Head
2 matches
2Columbus
0Draws
0Dayton
League Standings
| # | Team | MP | W | D | L | Goals | Pts | Form |
|---|---|---|---|---|---|---|---|---|
| 1 | MetaSport W | 1 | 1 | 0 | 0 | 3:0 | 3 | W |
| 2 | Gulf Coast United W | 1 | 1 | 0 | 0 | 4:1 | 3 | W |
| 3 | West Florida Academy W | 1 | 1 | 0 | 0 | 2:0 | 3 | W |
| 4 |  Davis W | 1 | 1 | 0 | 0 | 2:0 | 3 | W |
| 5 | Michigan Rangers | 1 | 1 | 0 | 0 | 2:1 | 3 | W |
| 6 | Corktown W | 1 | 0 | 0 | 1 | 1:2 | 0 | L |
| 7 | Iron Rose W | 1 | 0 | 0 | 1 | 0:2 | 0 | L |
| 8 | Bay City Reign W | 1 | 0 | 0 | 1 | 0:2 | 0 | L |
| 9 | Valdosta | 1 | 0 | 0 | 1 | 1:4 | 0 | L |
| 10 | City SC W | 1 | 0 | 0 | 1 | 0:3 | 0 | L |
Performance Radar
Columbus Eagles WDayton WMetric
Home
Away
Possession
0%
100%
xG
0.44
0.05
Shots on Target
0
0
Danger. Attacks
0
0
Corners
0
0
Upcoming in WPSL
League →Recent results in WPSL
League →- 16 MayCity SC W0 – 6La Roca W
- 14 MayYuba0 – 5Iron Rose W
- 13 MayMiddletown Sporting CT W5 – 1Vale
- 11 May
California Storm W6 – 0Yuba - 10 MayIron Rose W0 – 2Davis W
- 10 MayMetaSport W3 – 0City SC W
- 9 MayMichigan Rangers2 – 1Corktown W
- 9 MayWest Florida Academy W2 – 0Bay City Reign W
- 9 MayValdosta1 – 4Gulf Coast United 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.