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Yale at Northeastern

Friday, November 13, 2026, 7:00 PM ET at Cabot Center. Yale our rank 144 · 1-2; Northeastern our rank 197 · 1-2.

Who will win Yale vs Northeastern?

Logged before tip-off; never changed after it.

The model gives Yale a 52% chance to beat Northeastern, with a projected score of Yale 78, Northeastern 77. The spread is Yale −2.5, with an over/under of 154.5. The model makes it Yale by 0.5, 2.0 points toward Northeastern, and projects 155 total points.

To winYale 52%Northeastern 48%
Projected score78–77Yale, then Northeastern
Margin0.5Yale · line: Yale 2.5
Total155.0line: 154.5
First half36–36Yale ahead 49%
Yale by 30by 20by 10Evenby 10by 20Northeastern by 30Model: Yale by 0.5Line: Yale by 2.5Yale by 30by 10by 10Northeastern by 30Model: Yale by 0.5Line: Yale by 2.5

Half of games like thisFour in five

Calls of 50–60% have been right 55.4% of the time in 16,654 past games, and the typical miss on the margin is 8.8 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
Yale
FoxF · 32 min17.84.61.220+ 38%
MullinG · 33 min14.02.92.615+ 43%
BrathwaiteG · 31 min12.03.32.310+ 62%
WallaceG · 24 min8.03.42.110+ 33%
Northeastern
KingG · 36 min17.65.21.915+ 64%
BondG · 36 min16.74.81.515+ 59%
LoughnaneG · 39 min14.44.75.015+ 45%
GrosberG · 36 min13.54.33.315+ 40%

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 him

Without Riley Fox: Yale 46%Northeastern 54%

The white mark is the call with him: Yale 52%.

PlayerPoints a game he addsYale without himChangeProjected score
Yale
Riley Fox1.646%−677–78
Trevor Mullin1.048%−477–78
Courtney Wallace0.849%−377–78
Jordan Brathwaite0.749%−377–78
Northeastern
Rashad King1.558%+678–77
Ryan Williams0.755%+378–77

Change is in Yale's win chance, in points. Scores read Yale, then Northeastern. A player's value is what the team is better by with him than with a replacement, from the player ratings.

Model against the line

DraftKings · as of 2:23 AM ET
SpreadOver/under
LineYale −2.5154.5
ModelYale −0.5155.0
Gap2 toward Northeastern0.5 higher

A gap is a difference of opinion, not a tip. When the model and the line have been 2 or more points apart, the model's side has covered 51.6% of 3,317 games. This season the model's side has covered 163 of 337 spreads (48%); over 11,507 games in the last two seasons it covered 50.6%. It takes about 52.4% to break even at standard odds. Scorecard

Play-by-play

    Team numbers

    Form

    Each team's last five before this game

    Yale 1-2WLL

    1. Nov 10L 61-90at BaylorDidn't cover +19.5 · Under 158.5
    2. Nov 6L 75-87at UCFDidn't cover +8.5 · Over 152.5
    3. Nov 2W 72-62vs Howard
    Last 3
    1–2, scoring 69.3 and allowing 79.7
    Against the spread, this season
    0–2
    Totals, this season
    1 over, 1 under

    Northeastern 1-2LLW

    1. Nov 10W 74-70vs HarvardCovered +1.5 · Over 143.5
    2. Nov 6L 72-97at VirginiaCovered +34.5 · Over 159.5
    3. Nov 2L 85-93at Boston U
    Last 3
    1–2, scoring 77.0 and allowing 86.7
    Against the spread, this season
    2–0
    Totals, this season
    2 over, 0 under

    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 365
    YaleNortheastern
    Points scored per 100 possessions107.4 117th104.8 166th
    Points allowed per 100109.5 210th111.2 267th
    Possessions a game69.2 327th72.1 59th
    Shooting (effective field-goal %)49.8% 233rd52.0% 86th
    Opponents' shooting49.2% 87th52.1% 295th
    Turnovers, share of possessions18.5% 228th18.0% 175th
    Offensive rebounds, share of misses33.4% 90th28.1% 348th
    Free throws per shot0.24 278th0.28 104th

    The widest gap: Yale's offense (117th) against Northeastern's defense (267th), of 365 teams.

    First half

    Projected from the full-game numbers

    Ahead at halftime

    Projected halftime score
    Yale 36, Northeastern 36
    First-half margin
    Yale by 0.3
    First-half points, both teams
    72.7
    Projected second half
    Yale 41, Northeastern 41
    Second-half points, both teams
    82.3
    Tied at the half
    4%
    Yale, first halves so far
    Led 2 of 3 · 37.3 scored, 36.0 allowed
    Northeastern, first halves so far
    Led 1 of 3 · 32.0 scored, 34.3 allowed

    Our own projection, not a sportsbook's first-half line. On 11,516 past games it had not seen, the halftime leader was right 67.2% of the time and the first-half total was off by 8.1 points on average. This season: 366 of 476 halftime leaders right. Scorecard

    Player projections

    Each player's projected line for this game

    Yale

    PlayerMinPtsRebAst3s
    Trevor MullinG3314.02.92.62.0
    15+ pts 43% · 3+ reb 51% · 3+ ast 47%
    Riley FoxF3217.84.61.22.3
    20+ pts 38% · 5+ reb 46% · 2+ threes 61%
    Jordan BrathwaiteG3112.03.32.31.9
    10+ pts 62% · 3+ reb 58% · 2+ threes 50%
    Daniel OgunyemiF277.66.81.20.1
    5+ pts 69% · 7+ reb 50% · 2+ ast 31%
    Jack SullivanF255.85.20.90.9
    5+ pts 54% · 5+ reb 56% · 1+ threes 56%
    Courtney WallaceG248.03.42.11.2
    10+ pts 33% · 4+ reb 43% · 2+ ast 59%

    Northeastern

    PlayerMinPtsRebAst3s
    Mike LoughnaneG3914.44.75.01.7
    15+ pts 45% · 5+ reb 48% · 2+ threes 47%
    Louis BondG3616.74.81.51.4
    15+ pts 59% · 5+ reb 49% · 2+ ast 41%
    Dorian GrosberG3613.54.33.31.7
    15+ pts 40% · 4+ reb 57% · 2+ threes 47%
    Rashad KingG3617.65.21.91.8
    15+ pts 64% · 2+ ast 54% · 2+ threes 48%
    Brayden YoungF227.55.10.60.1
    5+ pts 68% · 5+ reb 55%
    Ryan WilliamsG145.91.21.40.9
    5+ pts 55% · 2+ ast 40% · 1+ threes 54%
    Liam KoelschC111.82.70.30.0
    3+ reb 46%

    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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