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California Storm
Desert Dreams
Tucson W
San Francisco Nighthawks

USA
WPSL
Season Complete
652/665
Matches Played
98% Completed3.81
Avg Goals
68%
Over 2.5
50%
BTTS
Home Wins 44%Draws 16%Away Wins 40%
Standings
| # ▴ | Club | MP | W | D | L | GF | GA | GD | Pts | Form | PPG | CS | BTTS | GF/g | 1.5+ | 2.5+ | AVG |
|---|
MP = Matches Played · W = Wins · D = Draws · L = Losses · GF = Goals For · GA = Goals Against · GD = Goal Difference · Pts = Points · Form = Last 5 results · PPG = Points Per Game · CS = Clean Sheets % · BTTS = Both Teams To Score % · GF/g = Goals scored per game · 1.5+ = Over 1.5 Goals % · 2.5+ = Over 2.5 Goals % · AVG = Average total goals per game
USA — WPSL 2025 — Detailed Stats
Table Analysis
Across 652 matches, the WPSL averages 3.81 goals per game — above the European average of 2.7 goals per game. Both teams scored (BTTS) in 50% of fixtures. Over 2.5 goals were recorded in 68% of matches.
Home sides have won 44% of matches, with 16% drawn and 40% going to away teams.
⚽ Goal StatisticsWPSL 2025 · 652 matches
3.81
Goals / Match
1.99Home
1.82Away
Goals by 15-min interval
0
0
0
0
0
0
0-1516-3031-4546-6061-7576-90
0%1st Half
100%2nd Half
23.6'
Min / Goal
2484 goals · 652 matches
+5%
Home ATK Advantage
Scores more than league avg
50%
Clean Sheets
328 of 652 matches
+5%
Home DEF Advantage
Concedes less than league avg
50%
Both Teams Scored
324 of 652 matches
Over / Under — First Half
Over 0.5
72.8%
Under 0.5
27.2%
Over 1.5
42.2%
Under 1.5
57.8%
Over 2.5
23.3%
Under 2.5
76.7%
Over 3.5
8.9%
Under 3.5
91.1%
Over 4.5
3.3%
Under 4.5
96.7%
Frequent Total Goals — First Half
1G
30.6% / 55×
0G
27.2% / 49×
2G
18.9% / 34×
3G
14.4% / 26×
4G
5.6% / 10×
Frequent Scorelines — First Half
0-0
27.2% / 49×
0-1
15.6% / 28×
1-0
15% / 27×
1-1
8.3% / 15×
0-2
6.7% / 12×
Over / Under — Full Time
Over 0.5
95.2%
Under 0.5
4.8%
Over 1.5
84.8%
Under 1.5
15.2%
Over 2.5
67.9%
Under 2.5
32.1%
Over 3.5
45.9%
Under 3.5
54.1%
Over 4.5
31.4%
Under 4.5
68.6%
Frequent Total Goals — Full Time
3G
22.1% / 144×
2G
16.9% / 110×
4G
14.4% / 94×
5G
11.7% / 76×
1G
10.4% / 68×
Frequent Scorelines — Full Time
1-2
6.6% / 43×
1-1
6.4% / 42×
2-1
6.4% / 42×
3-0
6% / 39×
2-0
5.5% / 36×
Match Predictions — R14
|R14|
Elo-based model · home advantage included
Mon 30 JunFT
3–1
LA Surf
Mon 30 JunFT
2–1
Rebels Chula Vista
Mon 30 JunFT
7–0
San Diego Parceiro
Wed 02 JulFT
3–2
San Francisco Elite
Wed 02 JulFT
3–0
Davis W
Fri 04 JulFT
4–0
San Ramon
Sat 05 JulFT
6–4
PHX Heat
Sun 06 JulFT
1–3
Arizona Arsenal W
Mon 07 JulFT
1–1
Iron Rose