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Stanford at Santa Clara

Women's · Friday, November 13, 2026, 10:00 PM ET at Leavey Center. Stanford our rank 66 · 2-1; Santa Clara our rank 69 · 3-0.

Who will win Stanford vs Santa Clara?

Logged before tip-off; never changed after it.

The model gives Santa Clara a 63% chance to beat Stanford, with a projected score of Santa Clara 74, Stanford 70.

To winSanta Clara 63%Stanford 37%
Projected score70–74Stanford, then Santa Clara
Margin3.9Santa Clara · no line posted
Total143.9no line posted
First half33–35Santa Clara ahead 58%
Stanford by 30by 20by 10Evenby 10by 20Santa Clara by 30Model: Santa Clara by 3.9Stanford by 30by 10by 10Santa Clara by 30Model: Santa Clara by 3.9

Half of games like thisFour in five

Calls of 60–70% have been right 64.3% of the time in 7,507 past games, and the typical miss on the margin is 9.5 points. After the final, the result is pinned to this strip. As of 2:23 AM ET on November 13, 2026. Updated three times a day until tip-off.

Players to watch

our projection, not a sportsbook's
PlayerPtsRebAstLast gamesChance of
Santa Clara
GlanceyF · 28 min15.88.01.615+ 54%
JonesG · 28 min15.23.82.115+ 50%
SchmidtF · 29 min12.15.61.310+ 63%
FoxG · 27 min7.94.71.610+ 33%
Stanford
SwainG · 37 min17.73.91.520+ 37%
EschmeyerF · 28 min9.06.20.610+ 41%
EzikeF · 23 min8.24.00.510+ 35%
TuhyF · 22 min7.97.40.810+ 33%

Bars: points in the player's latest games this season. Blue line: tonight's projection. Every regular's line

The game without one player

Pick a regular to sit her

Without Sophie Glancey: Stanford 48%Santa Clara 52%

The white mark is the call with her: Santa Clara 63%.

PlayerPoints a game she addsSanta Clara without herChangeProjected score
Santa Clara
Sophie Glancey3.552%−1172–72
Maia Jones3.053%−1072–72
Ava Schmidt2.953%−1071–72
Kylee Fox1.957%−671–73
Stanford
Alexandra Eschmeyer3.573%+1068–76
Hailee Swain2.971%+869–75
Ines Sotelo Miguez2.971%+869–75
Shay Ijiwoye2.269%+669–75

Change is in Santa Clara's win chance, in points. Scores read Stanford, then Santa Clara. A player's value is what the team is better by with her than with a replacement, from the player ratings.

Play-by-play

    Team numbers

    Form

    Each team's last five before this game

    Stanford 2-1LWW

    1. Nov 8W 67-60vs UC Davis
    2. Nov 4W 87-54vs Saint Mary's
    3. Nov 2L 69-84vs Arizona
    Last 3
    2–1, scoring 74.3 and allowing 66.0

    Santa Clara 3-0WWW

    1. Nov 9W 89-70at Long Beach St
    2. Nov 7W 64-62at Utah Valley
    3. Nov 2W 84-50at Wyoming
    Last 3
    3–0, scoring 79.0 and allowing 60.7

    The spread and the total are the lines logged with each prediction. Form is what happened; the ratings above already count recent games more.

    Offense against defense

    Adjusted for opponents · rank of 363
    StanfordSanta Clara
    Points scored per 100 possessions99.2 79th102.0 59th
    Points allowed per 10085.8 59th89.5 99th
    Possessions a game73.0 96th74.3 29th
    Shooting (effective field-goal %)48.9% 25th47.3% 77th
    Opponents' shooting47.1% 276th43.3% 56th
    Turnovers, share of possessions26.9% 342nd20.9% 14th
    Offensive rebounds, share of misses32.8% 176th35.8% 54th
    Free throws per shot0.20 235th0.21 172nd

    First half

    Projected from the full-game numbers

    Ahead at halftime

    Projected halftime score
    Stanford 33, Santa Clara 35
    First-half margin
    Santa Clara by 2.3
    First-half points, both teams
    68.2
    Projected second half
    Stanford 37, Santa Clara 39
    Second-half points, both teams
    75.7
    Tied at the half
    4%
    Stanford, first halves so far
    Led 2 of 3 · 36.0 scored, 33.3 allowed
    Santa Clara, first halves so far
    Led 3 of 3 · 43.3 scored, 30.3 allowed

    Our own projection, not a sportsbook's first-half line. On 10,911 past games it had not seen, the halftime leader was right 73.0% of the time and the first-half total was off by 8.0 points on average. This season: 404 of 492 halftime leaders right. Scorecard

    Player projections

    Each player's projected line for this game

    Stanford

    PlayerMinPtsRebAst3s
    Hailee SwainG3717.73.91.51.2
    20+ pts 37% · 4+ reb 51% · 2+ ast 43%
    Shay IjiwoyeG357.83.52.90.8
    10+ pts 32% · 3+ ast 54% · 1+ threes 51%
    Ines Sotelo MiguezF286.74.52.10.4
    5+ pts 62% · 5+ reb 45% · 2+ ast 60%
    Alexandra EschmeyerF289.06.20.60.7
    10+ pts 41% · 6+ reb 55% · 1+ threes 46%
    Nora EzikeF238.24.00.50.5
    10+ pts 35% · 4+ reb 53% · 1+ threes 36%
    Charlotte TuhyF227.97.40.80.7
    10+ pts 33% · 8+ reb 45% · 1+ threes 48%
    Ilse de VriesF123.92.00.60.6
    5+ pts 34% · 2+ reb 53% · 1+ threes 44%

    Santa Clara

    PlayerMinPtsRebAst3s
    Ava SchmidtF2912.15.61.32.1
    10+ pts 63% · 6+ reb 47% · 2+ threes 56%
    Aniya HookerG287.72.93.61.0
    10+ pts 31% · 3+ reb 51% · 4+ ast 46%
    Sophie GlanceyF2815.88.01.60.8
    15+ pts 54% · 8+ reb 52% · 1+ threes 52%
    Maia JonesG2815.23.82.12.0
    15+ pts 50% · 4+ reb 50% · 2+ threes 53%
    Kylee FoxG277.94.71.61.5
    10+ pts 33% · 5+ reb 47% · 2+ ast 45%
    Delainey MillerG197.64.81.10.4
    5+ pts 70% · 5+ reb 50% · 1+ threes 33%
    Kate SchatG174.41.50.90.8
    5+ pts 40% · 2+ reb 39% · 1+ threes 52%
    Emma NajjumaC164.36.60.50.1
    5+ pts 39% · 7+ reb 47%

    Our own projections from each player's minutes and production, this opponent and the game's pace: not a sportsbook's lines. Under each name, the round numbers the player is about as likely as not to reach. How they have done

    Why the model sees it this way

    The game in numbers

    The matchup

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