Santa Clara W vs Hofstra W Odds Comparison - NCAA Matches Women
Teams: Santa Clara W vs Hofstra W
Competition: NCAA Matches Women
Sport: Volleyball
Region: United States
Starts (UTC):
Match status: Finished
Odds
Typical 1X2 prices (averages across listed bookmakers): home ~1.50, away ~2.47.
Markets with odds data in this feed: 1X2, ah, ou.
| Bookmaker | Santa Clara W | Draw | Hofstra W |
|---|---|---|---|
| Bet365 | 1.53 | 2.38 | |
| 1xbet | 1.56 | 2.32 | |
| Fonbet | 1.40 | 2.70 |
Stats
| Stat | Home / value | Away / value |
|---|---|---|
| points_won_on_serve: 22 | ||
| longest_streak: 5 | ||
Timeline
- Set 1 - Race to 5 points - Hofstra (W)
- Set 1 Tie After 10
- Technical Time Out
- Set 1 - Race to 10 points - Santa Clara (W)
- Set 1 Tie After 20
- Set 1 - Race to 15 points - Santa Clara (W)
- Technical Time Out
- Set 1 Tie After 30
- Set 1 - Race to 20 points - Hofstra (W)
- Time Out
- Technical Time Out
- Time Out
- Time Out
- Set 1 to Hofstra (W) - 23-25
- Set 2 - Race to 5 points - Hofstra (W)
- Set 2 Lead After 10 Points - Hofstra (W)
- Set 2 - Race to 10 points - Hofstra (W)
- Time Out
- Set 2 Lead After 20 Points - Hofstra (W)
- Set 2 - Race to 15 points - Hofstra (W)
- Technical Time Out
- Time Out
- Technical Time Out
- Set 2 Lead After 30 Points - Hofstra (W)
- Set 2 - Race to 20 points - Hofstra (W)
- Time Out
- Time Out
- Set 2 to Hofstra (W) - 20-25
H2H
Recent form and head-to-head for Santa Clara W vs Hofstra W (static summary for search engines).
Recent matches — Santa Clara W
- 4 Sept 2026 · Santa Clara (W) — 3-0 — Manhattan (W)
- 1 Sept 2026 · Cincinnati (W) — 0-3 — Santa Clara (W)
- 29 Aug 2026 · Dayton (W) — 3-1 — Santa Clara (W)
- 29 Nov 2025 · Santa Clara (W) — 3-0 — Seattle (W)
- 22 Nov 2025 · Santa Clara (W) — 1-3 — San Diego (W)
- 21 Nov 2025 · Oregon State (W) — 3-0 — Santa Clara (W)
- 15 Nov 2025 · Pepperdine (W) — 3-0 — Santa Clara (W)
- 25 Oct 2025 · Seattle (W) — 2-3 — Santa Clara (W)
- 24 Oct 2025 · Santa Clara (W) — 3-2 — Gonzaga (W)
- 4 Oct 2025 · Santa Clara (W) — 3-1 — Pepperdine (W)
Recent matches — Hofstra W
- 4 Sept 2026 · Yale (W) — 3-2 — Hofstra (W)
- 30 Aug 2026 · Penn State (W) — 3-0 — Hofstra (W)
- 14 Nov 2025 · Northeastern (W) — 1-3 — Hofstra (W)
- 7 Nov 2025 · Hofstra (W) — 3-2 — Towson (W)
- 21 Oct 2025 · Rider (W) — 0-3 — Hofstra (W)
- 18 Oct 2025 · Hofstra (W) — Stony Brook (W)
- 17 Oct 2025 · Hofstra (W) — 3-0 — Stony Brook (W)
- 9 Oct 2025 · Hampton (W) — 0-3 — Hofstra (W)
- 26 Sept 2025 · College of Charleston (W) — 3-2 — Hofstra (W)
- 6 Oct 2024 · Campbell (W) — 0-3 — Hofstra (W)
About this match
Discover the complete betting odds and in-depth insights for the upcoming matchup between Santa Clara W Vs Hofstra W in the NCAA Matches Women (United States). Compare best odds, highest odds and average market prices from top bookmakers including DraftKings, BetMGM, FanDuel, Caesars Sportsbook and Bet365. When odds drop and sharp shifts occur, it highlights significant betting pressure that can reveal undervalued picks in this matchup. You can take a look at the full odds history for this matchup, including every fluctuation before and during the event. Feel free to explore comprehensive betting lines for Santa Clara W Vs Hofstra W, focusing on the key markets that are crucial for volleyball analysis and finding value. The page showcases each bookmaker's odds independently, allowing you to effortlessly spot differences in market positioning. OddsRun is great at spotting sure bets, odds mismatches, and sudden drops that often signal profitable chances. You can check out early opening lines to snag value bets before odds change due to news or market shifts. For a deeper dive, OddsRun offers betting tips and match predictions based on odds movement, form indicators, and market reactions. Stay updated with live scores, final results, and performance insights from other NCAA Matches Women matches to round out your research for games in United States. If you're looking at how odds change, checking out differences between bookies, or monitoring sharp line movements, OddsRun provides accurate and transparent information.