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Wichita St at Loyola Chicago

Wednesday, November 18, 2026, 8:00 PM ET at Gentile Arena. Wichita St our rank 91 · 2-1; Loyola Chicago our rank 132 · 2-1.

Who will win Wichita St vs Loyola Chicago?

From this morning's ratings; logged before tip-off.

The model gives Wichita State a 57% chance to beat Loyola Chicago, with a projected score of Wichita St 77, Loyola Chicago 74.

To winWichita St 57%Loyola Chicago 43%
Projected score77–74Wichita St, then Loyola Chicago
Margin2.1Wichita St · no line posted
Total151.0no line posted
First half36–35Wichita St ahead 53%
Wichita St by 30by 20by 10Evenby 10by 20Loyola Chicago by 30Model: Wichita St by 2.1Wichita St by 30by 10by 10Loyola Chicago by 30Model: Wichita St by 2.1

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
Wichita St
GilesG · 27 min14.31.82.515+ 44%
BergC · 20 min12.28.30.710+ 63%
BattieF · 24 min10.25.30.910+ 50%
FrisonG · 21 min9.22.03.610+ 42%
Loyola Chicago
NessahG · 25 min13.85.51.715+ 41%
SchofieldC · 24 min11.06.81.510+ 55%
GrotzingerG · 25 min10.03.14.310+ 48%
JeffreyG · 20 min7.22.22.15+ 66%

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 Dillon Battie: Wichita St 49%Loyola Chicago 51%

The white mark is the call with him: Wichita St 57%.

PlayerPoints a game he addsWichita St without himChangeProjected score
Wichita St
Dillon Battie2.549%−875–76
Kenyon Giles2.150%−775–76
Jahari Long1.453%−476–75
Emmanuel Okorafor1.353%−476–75
Loyola Chicago
Chris Jeffrey1.462%+577–74
Jason Schofield1.261%+477–74
Jayden Dawson1.061%+477–74
Elias Rapieque0.860%+377–74

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

Play-by-play

    Team numbers

    Form

    Each team's last five before this game

    Wichita St 2-1WLW

    1. Nov 11W 113-60vs Friends
    2. Nov 8L 86-93vs USCDidn't cover +6.5 · Over 155.5
    3. Nov 4W 79-67vs CSU Northridge
    Last 3
    2–1, scoring 92.7 and allowing 73.3
    Against the spread, this season
    0–1
    Totals, this season
    1 over, 0 under

    Loyola Chicago 2-1WWL

    1. Nov 11L 93-107at Air ForceDidn't cover −10.5 · Over 159.5
    2. Nov 5W 76-53vs West GeorgiaCovered −17.5 · Under 145.5
    3. Nov 2W 77-52vs The Citadel
    Last 3
    2–1, scoring 82.0 and allowing 70.7
    Against the spread, this season
    1–1
    Totals, this season
    1 over, 1 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
    Wichita StLoyola Chicago
    Points scored per 100 possessions110.9 85th105.6 149th
    Points allowed per 100103.2 98th106.3 134th
    Possessions a game71.3 121st70.3 238th
    Shooting (effective field-goal %)49.7% 242nd51.3% 127th
    Opponents' shooting48.7% 50th50.0% 148th
    Turnovers, share of possessions17.3% 97th17.4% 106th
    Offensive rebounds, share of misses31.0% 230th34.5% 34th
    Free throws per shot0.28 96th0.21 353rd

    The widest gap: Wichita St's defense (98th) against Loyola Chicago's offense (149th), of 365 teams.

    First half

    Projected from the full-game numbers

    Ahead at halftime

    Projected halftime score
    Wichita St 36, Loyola Chicago 35
    First-half margin
    Wichita St by 1.2
    First-half points, both teams
    70.8
    Projected second half
    Wichita St 41, Loyola Chicago 40
    Second-half points, both teams
    80.1
    Tied at the half
    4%
    Wichita St, first halves so far
    Led 3 of 3 · 51.0 scored, 37.0 allowed
    Loyola Chicago, first halves so far
    Led 2 of 3 · 37.7 scored, 35.3 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

    Wichita St

    PlayerMinPtsRebAst3s
    Kenyon GilesG2714.31.82.52.2
    15+ pts 44% · 2+ reb 48% · 3+ ast 43%
    Jahari LongG267.42.72.11.0
    5+ pts 68% · 3+ reb 47% · 1+ threes 58%
    Dillon BattieF2410.25.30.90.7
    10+ pts 50% · 5+ reb 57% · 1+ threes 47%
    Bryce HeardG227.43.00.60.9
    5+ pts 68% · 3+ reb 54% · 1+ threes 55%
    Jordan FrisonG219.22.03.60.5
    10+ pts 42% · 2+ reb 54% · 4+ ast 47%
    William BergC2012.28.30.70.0
    48% to play · 10+ pts 63% · 9+ reb 44% · 2+ ast 16%
    Desmeon JonesG165.31.71.00.5
    5+ pts 49% · 2+ reb 47% · 1+ threes 40%
    TJ WilliamsG135.33.20.90.2
    78% to play · 5+ pts 49% · 3+ reb 57% · 2+ ast 22%

    Missed the last game: William Berg (24 min a game).

    Loyola Chicago

    PlayerMinPtsRebAst3s
    Dayan NessahG2513.85.51.70.5
    15+ pts 41% · 6+ reb 45% · 2+ ast 47%
    Guillaume GrotzingerG2510.03.14.31.0
    10+ pts 48% · 3+ reb 55% · 5+ ast 42%
    Jason SchofieldC2411.06.81.50.2
    10+ pts 55% · 7+ reb 50% · 2+ ast 42%
    Chris JeffreyG207.22.22.10.6
    5+ pts 66% · 2+ reb 58% · 1+ threes 43%
    Ryan AgarwalG194.63.60.61.4
    5+ pts 41% · 4+ reb 46% · 2+ threes 39%
    Jayden DawsonG194.91.11.01.3
    5+ pts 45% · 2+ reb 29% · 2+ threes 36%
    Elias RapiequeF183.82.71.40.4
    5+ pts 33% · 3+ reb 46% · 2+ ast 40%
    Xavier AmosF176.93.00.61.0
    5+ pts 63% · 3+ reb 54% · 1+ threes 59%

    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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