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Marist at Lehigh

Friday, November 13, 2026, 7:00 PM ET at Stabler Arena. Marist our rank 280 · 1-2; Lehigh our rank 290 · 1-2.

Who will win Marist vs Lehigh?

Logged before tip-off; never changed after it.

The model gives Lehigh a 58% chance to beat Marist, with a projected score of Lehigh 70, Marist 68. The spread is Lehigh −1.5, with an over/under of 132.5. The model makes it Lehigh by 2.3, 0.8 points toward Lehigh, and projects 138 total points.

To winLehigh 58%Marist 42%
Projected score68–70Marist, then Lehigh
Margin2.3Lehigh · line: Lehigh 1.5
Total138.0line: 132.5
First half32–33Lehigh ahead 53%
Marist by 30by 20by 10Evenby 10by 20Lehigh by 30Model: Lehigh by 2.3Line: Lehigh by 1.5Marist by 30by 10by 10Lehigh by 30Model: Lehigh by 2.3Line: Lehigh by 1.5

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
Lehigh
BenoitF · 26 min12.85.10.815+ 35%
AlveyC · 30 min12.66.72.215+ 34%
IngramG · 31 min12.04.62.610+ 62%
TshibolaG · 22 min7.13.11.95+ 65%
Marist
ChessG · 30 min13.63.72.115+ 40%
GrahamG · 32 min11.02.81.810+ 55%
Collins-RobertsG · 31 min10.64.33.010+ 52%
GabrielC · 25 min8.15.01.210+ 34%

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 Hank Alvey: Marist 47%Lehigh 53%

The white mark is the call with him: Lehigh 58%.

PlayerPoints a game he addsLehigh without himChangeProjected score
Lehigh
Hank Alvey1.453%−569–69

Change is in Lehigh's win chance, in points. Scores read Marist, then Lehigh. 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
LineLehigh −1.5132.5
ModelLehigh −2.3138.0
Gap0.8 toward Lehigh5.5 higher

A gap is a difference of opinion, not a tip. 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

    Marist 1-2LWL

    1. Nov 8L 61-63at UMass LowellDidn't cover +1.5 · Under 142.5
    2. Nov 5W 88-80vs UMBCCovered −4.5 · Over 136.5
    3. Nov 2L 62-69vs Dartmouth
    Last 3
    1–2, scoring 70.3 and allowing 70.7
    Against the spread, this season
    1–1
    Totals, this season
    1 over, 1 under

    Lehigh 1-2LWL

    1. Nov 8L 55-65vs BrownDidn't cover −5.5 · Under 139.5
    2. Nov 5W 71-64vs CornellCovered +1.5 · Under 159.5
    3. Nov 2L 67-92at Saint Louis
    Last 3
    1–2, scoring 64.3 and allowing 73.7
    Against the spread, this season
    1–1
    Totals, this season
    0 over, 2 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
    MaristLehigh
    Points scored per 100 possessions95.6 330th97.3 314th
    Points allowed per 100107.8 168th110.1 228th
    Possessions a game70.4 222nd70.2 245th
    Shooting (effective field-goal %)50.2% 209th47.0% 354th
    Opponents' shooting50.4% 176th50.8% 204th
    Turnovers, share of possessions19.4% 312th18.1% 190th
    Offensive rebounds, share of misses28.1% 350th26.5% 362nd
    Free throws per shot0.29 48th0.28 82nd

    The widest gap: Marist's defense (168th) against Lehigh's offense (314th), of 365 teams.

    First half

    Projected from the full-game numbers

    Ahead at halftime

    Projected halftime score
    Marist 32, Lehigh 33
    First-half margin
    Lehigh by 1.3
    First-half points, both teams
    64.7
    Projected second half
    Marist 36, Lehigh 37
    Second-half points, both teams
    73.3
    Tied at the half
    4%
    Marist, first halves so far
    Led 2 of 3 · 31.3 scored, 29.7 allowed
    Lehigh, first halves so far
    Led 1 of 3 · 31.7 scored, 35.7 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

    Marist

    PlayerMinPtsRebAst3s
    Jack GrahamG3211.02.81.81.3
    10+ pts 55% · 3+ reb 48% · 2+ ast 51%
    Jadin Collins-RobertsG3110.64.33.00.4
    10+ pts 52% · 4+ reb 58% · 3+ ast 54%
    Dywane ChessG3013.63.72.11.5
    15+ pts 40% · 4+ reb 48% · 2+ ast 59%
    Jordan GabrielC258.15.01.20.3
    10+ pts 34% · 5+ reb 53% · 2+ ast 32%
    Myles ParkerF237.64.40.61.5
    5+ pts 69% · 5+ reb 43% · 2+ threes 40%
    Edward OnyiaF163.83.30.70.2
    5+ pts 33% · 3+ reb 58% · 2+ ast 17%
    Brandon ArnoldG164.01.51.10.4
    5+ pts 35% · 2+ reb 42% · 1+ threes 35%
    Brady MacAdamsG144.62.00.60.7
    5+ pts 42% · 2+ reb 53% · 1+ threes 49%

    Lehigh

    PlayerMinPtsRebAst3s
    Joshua IngramG3112.04.62.61.5
    10+ pts 62% · 5+ reb 47% · 3+ ast 46%
    Hank AlveyC3012.66.72.20.1
    15+ pts 34% · 7+ reb 49% · 2+ ast 61%
    Edouard BenoitF2612.85.10.81.8
    15+ pts 35% · 5+ reb 54% · 2+ threes 49%
    Jalen VazquezG234.82.32.00.4
    5+ pts 44% · 3+ reb 40% · 2+ ast 56%
    Chris TshibolaG227.13.11.90.8
    5+ pts 65% · 2+ ast 54% · 1+ threes 51%
    Peter KramerG193.21.30.70.8
    5+ pts 27% · 2+ reb 36% · 1+ threes 51%
    Caleb ThomasG164.30.91.00.3
    5+ pts 39% · 2+ ast 26% · 1+ threes 26%
    Ralfs RudusansF112.22.60.30.2
    5+ pts 17% · 3+ reb 46% · 1+ threes 18%

    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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