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NWSL Women · USA
San Diego Wave W form, results and statistics
Based on 24 matches in our results archive, last updated 23 Oct 2026.
San Diego Wave W at a glance
Last 10 (newest first): WWWWWLWWDL
Form and goals analysis
San Diego Wave W have played 24 matches in our results archive between 26 Apr 2026 and 18 Oct 2026, most of them in the NWSL Women (USA). They won 14, drew 3 and lost 7, scoring 35 goals and conceding 26 — 1.46 scored and 1.08 conceded per game.
At home they won 7 of 12 (58%) and averaged 1.42 goals a game; on the road it was 7 wins from 12 (58%) with 1.50 goals a game. Their results hold up broadly the same at home and away.
Both teams scored in 11 of their 24 matches (46%), and 10 (42%) finished with three or more goals. They kept 6 clean sheets (25%) and failed to score in 7 (29%). Their goal totals sit close to the middle of the range we see across all competitions.
Over their most recent 10 matches the record is 7 won, 1 drawn and 2 lost, with 18 goals for and 10 against (2.20 points per game). That is in line with their longer-run average of 1.88 points per game.
Our team-strength model rates San Diego Wave W's attack at 1.03 and their defence at 0.71, where 1.00 is an average side in their competition and a lower defence number is better. The attack is close to average. The defence concedes clearly less than an average side. Against an average opponent the model expects them to score about 1.61 and concede about 0.99 goals in a home match. The ratings are refitted every night from the last 180 days of results, with recent matches weighted more heavily.
Home and away
| P | W | D | L | GF | GA | Win % | |
|---|---|---|---|---|---|---|---|
| Home | 12 | 7 | 1 | 4 | 17 | 13 | 58% |
| Away | 12 | 7 | 2 | 3 | 18 | 13 | 58% |
| All | 24 | 14 | 3 | 7 | 35 | 26 | 58% |
Previous PunterPick predictions for San Diego Wave W
Each prediction is shown exactly as it was published before kick-off, with the final score once the match was played.
- North Carolina Courage W vs San Diego Wave W · 17 Oct 2026, 23:00 UTC · NWSL Women
Published pick: BTTS Yes @ 1.57 - Orlando Pride W vs San Diego Wave W · 3 Oct 2026, 00:00 UTC · NWSL Women
Published pick: Over 1.5 Goals @ 1.20
Latest results
| Date | Competition | Match | |
|---|---|---|---|
| 18 Oct 2026 | NWSL Women | North Carolina Courage W 1–2 San Diego Wave W | W |
| 3 Oct 2026 | NWSL Women | Orlando Pride W 1–2 San Diego Wave W | W |
| 26 Sep 2026 | NWSL Women | Racing Louisville W 0–2 San Diego Wave W | W |
| 19 Sep 2026 | NWSL Women | San Diego Wave W 2–0 Kansas City W | W |
| 13 Sep 2026 | NWSL Women | San Diego Wave W 2–1 North Carolina Courage W | W |
| 7 Sep 2026 | NWSL Women | Seattle Reign FC W 1–0 San Diego Wave W | L |
| 29 Aug 2026 | NWSL Women | San Diego Wave W 3–2 Racing Louisville W | W |
| 22 Aug 2026 | NWSL Women | San Diego Wave W 4–2 Utah Royals W | W |
| 15 Aug 2026 | NWSL Women | San Diego Wave W 1–1 Denver Summit W | D |
| 8 Aug 2026 | NWSL Women | NJ/NY Gotham FC W 1–0 San Diego Wave W | L |
| 2 Aug 2026 | NWSL Women | Washington Spirit W 0–1 San Diego Wave W | W |
| 27 Jul 2026 | NWSL Women | San Diego Wave W 0–2 Seattle Reign FC W | L |
| 18 Jul 2026 | NWSL Women | Kansas City W 2–2 San Diego Wave W | D |
| 12 Jul 2026 | NWSL Women | San Diego Wave W 0–2 Angel City W | L |
| 5 Jul 2026 | NWSL Women | San Diego Wave W 2–0 NJ/NY Gotham FC W | W |
| 4 Jun 2026 | Friendlies Women | San Diego Wave W 1–0 Philippines W | W |
| 31 May 2026 | NWSL Women | Chicago Red Stars W 0–2 San Diego Wave W | W |
| 25 May 2026 | NWSL Women | San Diego Wave W 0–1 Orlando Pride W | L |
| 21 May 2026 | NWSL Women | Houston Dash W 2–2 San Diego Wave W | D |
| 16 May 2026 | NWSL Women | San Diego Wave W 2–1 Washington Spirit W | W |
How these numbers are calculated
Every figure on this page comes from final scores (90 minutes, extra time excluded) stored in the PunterPick results archive, which covers every competition our data provider reports. Percentages are simple counts over the matches listed; nothing is estimated or filled in. The attack and defence ratings come from our own team-strength model, explained on the methodology page.