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Chattanooga at Elon

Friday, November 13, 2026, 7:00 PM ET at Schar Center. Chattanooga our rank 182 · 1-2; Elon our rank 184 · 2-1.

Who will win Chattanooga vs Elon?

Logged before tip-off; never changed after it.

The model gives Elon a 59% chance to beat Chattanooga, with a projected score of Elon 78, Chattanooga 76. The spread is Elon −2.5, with an over/under of 151.5. The model agrees with the spread, and projects 154 total points.

To winElon 59%Chattanooga 41%
Projected score76–78Chattanooga, then Elon
Margin2.5Elon · line: Elon 2.5
Total153.7line: 151.5
First half35–37Elon ahead 54%
Chattanooga by 30by 20by 10Evenby 10by 20Elon by 30Model: Elon by 2.5Line: Elon by 2.5Chattanooga by 30by 10by 10Elon by 30Model: Elon by 2.5Line: Elon 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
Elon
DaltonF · 30 min13.96.90.815+ 42%
CokleyG · 26 min11.63.31.410+ 59%
HardingC · 21 min8.35.21.910+ 35%
Pettus IIG · 26 min7.82.40.810+ 32%
Chattanooga
McDowell-WhiteG · 29 min15.23.94.615+ 50%
AnigbataG · 25 min11.24.12.210+ 57%
HamptonG · 25 min11.13.01.810+ 56%
BleshoyG · 26 min9.64.92.910+ 45%

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 Josh Dalton: Chattanooga 44%Elon 56%

The white mark is the call with him: Elon 59%.

PlayerPoints a game he addsElon without himChangeProjected score
Elon
Josh Dalton0.856%−376–78
Raúl Villar0.756%−376–78
Bryson Cokley0.557%−276–78
Chattanooga
Kobe McDowell-White0.661%+275–78
Zach Bleshoy0.661%+275–78
Lenny Anigbata0.561%+275–78

Change is in Elon's win chance, in points. Scores read Chattanooga, then Elon. 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
LineElon −2.5151.5
ModelElon −2.5153.7
GapNone2.2 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

    Chattanooga 1-2LLW

    1. Nov 9W 97-67vs Covenant
    2. Nov 5L 93-97at Penn StateCovered +12.5 · Over 159.5
    3. Nov 2L 70-84at Louisville
    Last 3
    1–2, scoring 86.7 and allowing 82.7
    Against the spread, this season
    1–0
    Totals, this season
    1 over, 0 under

    Elon 2-1WWL

    1. Nov 10L 50-69at G WashingtonDidn't cover +13.5 · Under 147.5
    2. Nov 6W 74-65vs UNC GreensboroDidn't cover −9.5 · Under 152.5
    3. Nov 2W 84-71at Columbia
    Last 3
    2–1, scoring 69.3 and allowing 68.3
    Against the spread, this season
    0–2
    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
    ChattanoogaElon
    Points scored per 100 possessions107.3 120th103.0 200th
    Points allowed per 100112.6 300th108.6 189th
    Possessions a game71.1 143rd70.0 266th
    Shooting (effective field-goal %)54.1% 16th50.4% 186th
    Opponents' shooting49.2% 88th48.7% 51st
    Turnovers, share of possessions18.5% 240th18.7% 257th
    Offensive rebounds, share of misses33.5% 85th34.1% 51st
    Free throws per shot0.25 225th0.26 161st

    The widest gap: Elon's offense (200th) against Chattanooga's defense (300th), of 365 teams.

    First half

    Projected from the full-game numbers

    Ahead at halftime

    Projected halftime score
    Chattanooga 35, Elon 37
    First-half margin
    Elon by 1.4
    First-half points, both teams
    72.1
    Projected second half
    Chattanooga 40, Elon 41
    Second-half points, both teams
    81.6
    Tied at the half
    4%
    Chattanooga, first halves so far
    Led 1 of 3 · 39.3 scored, 44.0 allowed
    Elon, first halves so far
    Led 2 of 3 · 33.7 scored, 24.3 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

    Chattanooga

    PlayerMinPtsRebAst3s
    Kobe McDowell-WhiteG2915.23.94.62.1
    15+ pts 50% · 4+ reb 51% · 5+ ast 47%
    Zach BleshoyG269.64.92.91.3
    10+ pts 45% · 5+ reb 51% · 3+ ast 54%
    Matt HamptonG2511.13.01.81.1
    10+ pts 56% · 3+ reb 53% · 2+ ast 51%
    Lenny AnigbataG2511.24.12.21.6
    10+ pts 57% · 4+ reb 54% · 2+ threes 45%
    Yonatan LevyF228.44.82.81.6
    10+ pts 36% · 5+ reb 50% · 3+ ast 52%
    Christian MatosG208.42.61.71.3
    10+ pts 36% · 3+ reb 45% · 2+ ast 49%
    Sean CusanoG123.62.30.60.3
    5+ pts 31% · 2+ reb 61% · 1+ threes 25%

    Elon

    PlayerMinPtsRebAst3s
    Josh DaltonF3013.96.90.81.1
    15+ pts 42% · 7+ reb 51% · 1+ threes 62%
    Raúl VillarG297.44.13.90.5
    5+ pts 68% · 4+ reb 54% · 4+ ast 53%
    Randall Pettus IIG267.82.40.81.3
    10+ pts 32% · 3+ reb 40% · 2+ threes 35%
    Bryson CokleyG2611.63.31.41.3
    10+ pts 59% · 4+ reb 41% · 2+ ast 40%
    Hunter HardingC218.35.21.90.2
    10+ pts 35% · 5+ reb 56% · 2+ ast 54%
    Isaiah MbengG205.61.62.11.0
    5+ pts 52% · 2+ reb 43% · 1+ threes 58%
    Cam ThrowerG166.52.11.51.1
    5+ pts 61% · 2+ reb 57% · 2+ ast 41%
    Caleb ZhuF123.62.80.40.1
    5+ pts 31% · 3+ reb 50%

    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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