James Madison Dukes vs Towson Tigers basketball preview & prediction
Wed, Nov 18 · 7:00 PM ET · SECU Arena, Towson, MD
Our play
Pace & total
possessions per 40 minutesProjected possessions: 66.9, from each team's opponent-adjusted tempo. On raw season pace, James Madison is the faster team (71.0, #176 of 365) and Towson the slower (68.2, #262). When tempos clash, the slower team usually pulls the pace harder (weights 0.80 vs 0.66).
How this game plays
points this game from the four factors, vs an average D-I matchupShot diet
Where each offense shoots from and where each defense lets teams shoot| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 50.0%#261 | 48.8%#67 | 58.0% |
| Short 2 (≤9 ft) | 12.5%#314 | 58.3%#302 | 38.2% |
| Mid 2 (10 ft+) | 40.0%#117 | 44.4%#256 | 34.7% |
| Three | 36.7%#102 | 30.5%#136 | 32.5% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 47.2%#298 | 61.1%#212 | 58.0% |
| Short 2 (≤9 ft) | 37.5%#165 | 57.1%#295 | 38.2% |
| Mid 2 (10 ft+) | 36.4%#151 | 40.0%#212 | 34.7% |
| Three | 34.5%#138 | 34.6%#219 | 32.5% |
Zones from play-by-play shot descriptions; garbage time removed. Bars show the share of field-goal attempts in each zone; where a slice is too thin for its number, the shares are listed under the bar. FG% ranks: #1 = best for that side (most accurate shooting, stingiest defense).
Shot volume
Extra scoring chances from rebounds, turnovers and the foul lineTowson has more extra scoring chances per game: +5.1 (#107 of 365) to James Madison’s −2.0 (#209).
Grade = extra shots and foul-line trips per game compared with a D-I average team, built from six season rates. Cell shading is the national rank for each rate (greener = better for that team).
Rotation
Who has been playing, and who has not| # | Player | Pos | Cl | Ht | GP-GS | MPG | Min/40, last 8 | Last 3 vs before | Status | PPG | RPG | APG | TOV | eFG% | 3P% | 3PA/g | FT% | Usage |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4 | G | Sr | 6'6" | 2-2 | 26.0 | 24 | — | Started last | 7.5 | 5.5 | 3.0 | 0.5 | 44.1% | 37.5% | 4.0 | 0.0% | 19.9% | |
| 12 | F | Jr | 6'11" | 2-2 | 25.5 | 24 | — | Started last | 11.5 | 5.0 | 1.5 | 0.5 | 91.7% | 75.0% | 4.0 | 33.3% | 15.9% | |
| 24 | G | Jr | 6'3" | 2-2 | 25.5 | 25 | — | Started last | 8.5 | 3.0 | 3.5 | 4.0 | 34.1% | 23.1% | 6.5 | 50.0% | 35.2% | |
| 15 | G | So | 6'4" | 2-2 | 25.0 | 28 | — | Started last | 16.5 | 3.0 | 1.0 | 1.5 | 47.7% | 37.5% | 4.0 | 75.0% | 36.8% | |
| 13 | F | So | 6'8" | 2-2 | 25.0 | 25 | — | Started last | 4.0 | 5.5 | 1.0 | 0.0 | 25.0% | 9.1% | 5.5 | 100.0% | 16.3% | |
| 1 | G | Jr | 6'3" | 2-0 | 22.5 | 22 | — | Bench | 13.0 | 1.5 | 1.5 | 0.5 | 71.9% | 46.7% | 7.5 | 100.0% | 23.0% | |
| 11 | G | Jr | 6'1" | 2-0 | 17.5 | 16 | — | Bench | 2.5 | 2.0 | 2.0 | 1.5 | 20.8% | 14.3% | 3.5 | — | 23.9% | |
| 6 | G | Fr | 6'0" | 2-0 | 17.0 | 18 | — | Bench | 9.5 | 1.0 | 1.5 | 1.0 | 79.2% | 50.0% | 3.0 | — | 23.1% | |
| 5 | F | Jr | 6'9" | 2-0 | 14.5 | 16 | — | Bench | 5.5 | 4.0 | 1.0 | 0.0 | 45.5% | 66.7% | 1.5 | 33.3% | 24.1% | |
| 0 | F | So | 6'7" | 1-0 | 1.0 | 0 | — | Missed last game | 0.0 | 0.0 | 0.0 | 0.0 | — | — | 0.0 | — | 0.0% |
Competitive minutes leave out garbage time (provisional rule: a second-half lead of 25+ inside 15:00, 20+ inside 10:00, 15+ inside 5:00 or 10+ inside 2:00, held to the end) and are shown per 40 minutes. Status says only whether a player appeared; the reason is not published.
Trends
Results against the closing spread and total, last ten games| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 6 | #23Kentucky | A | L 80–89 | +24.0 | W+15.0 | 156.5 | O169 | 117.5 | 130.7 | 68.1 |
| Nov 2 | Miami OH | H | L 77–86 | −1.0 | L−10.0 | 157.5 | O163 | 104.3 | 116.5 | 73.8 |
| Mar 5 | Southern Miss | N | L 80–86 | −2.0 | L−8.0 | 143.5 | O166 | 111.1 | 119.4 | 72.0 |
| Mar 4 | Louisiana | N | W 87–72 | −6.5 | W+8.5 | 135.0 | O159 | 122.3 | 101.2 | 71.2 |
| Feb 27 | Coastal | H | L 68–69 | −6.0 | L−7.0 | 142.0 | U137 | 107.0 | 108.6 | 63.5 |
| Feb 25 | GA Southern | H | W 82–66 | −5.5 | W+10.5 | 153.5 | U148 | 116.4 | 93.7 | 70.4 |
| Feb 21 | Georgia St | A | W 80–65 | −2.5 | W+12.5 | 142.5 | O145 | 119.4 | 97.0 | 67.0 |
| Feb 18 | Coastal | A | W 67–65 | −1.0 | W+1.0 | 141.5 | U132 | 102.2 | 99.1 | 65.6 |
| Feb 14 | App State | H | W 69–58 | +1.5 | W+12.5 | 135.0 | U127 | 112.7 | 94.7 | 61.2 |
| Feb 12 | Georgia St | H | W 81–79 OT | −6.0 | L−4.0 | 144.0 | O160 | 109.5 | 106.8 | 74.0 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 9 | Long Island | H | W 66–46 | −8.0 | W+12.0 | 139.5 | U112 | 100.5 | 70.0 | 65.7 |
| Nov 5 | Utah | A | L 57–67 | +8.0 | L−2.0 | 138.0 | U124 | 87.0 | 102.3 | 65.5 |
| Nov 2 | Santa Clara | A | L 70–89 | +13.5 | L−5.5 | 146.5 | O159 | 95.4 | 121.3 | 73.4 |
| Mar 9 | Hofstra | N | L 65–68 OT | +4.0 | W+1.0 | 131.5 | O133 | 106.8 | 111.7 | 60.9 |
| Mar 8 | Charleston | N | W 81–56 | +2.5 | W+27.5 | 139.0 | U137 | 134.0 | 92.7 | 60.4 |
| Mar 7 | Hampton | N | W 74–68 | −7.5 | L−1.5 | 132.0 | O142 | 108.9 | 100.1 | 67.9 |
| Mar 3 | Stony Brook | A | W 69–57 | −1.0 | W+11.0 | 135.5 | U126 | 112.7 | 93.1 | 61.2 |
| Feb 28 | Campbell | H | W 71–67 | −5.0 | L−1.0 | 141.5 | U138 | 120.0 | 113.2 | 59.2 |
| Feb 26 | Elon | H | W 58–56 | −5.5 | L−3.5 | 144.0 | U114 | 94.1 | 90.9 | 61.6 |
| Feb 22 | Drexel | A | L 62–68 | −2.5 | L−8.5 | 131.0 | U130 | 93.9 | 102.9 | 66.1 |
Records vs the closing line describe the past; ten games is a small sample.
Team comparison
national rank toned left for away, right for homeOffseason
roster movement into this season — descriptive, not a model input- Cliff Davis 31.3 mpg, 15.6 ppg · not on a D1 roster yet
- Bradley Douglas 26.8 mpg, 11.8 ppg · not on a D1 roster yet
- Eddie Ricks III 25.9 mpg, 6.9 ppg · transferred to Loyola Chicago
- Justin McBride 25.5 mpg, 14.3 ppg · transferred to Kentucky
- Gabe Newhof 18.9 mpg, 8.1 ppg · not on a D1 roster yet
- Christian Brown 13.3 mpg, 3.0 ppg · transferred to Ole Miss
- Gage Lattimore from NC Central · 35.7 mpg, 16.1 ppg last season
- Jacob Hogarth from Gardner-Webb · 25.0 mpg, 10.7 ppg last season
- Adrian Myers from San José St · 24.2 mpg, 9.4 ppg last season
- Garrett Sundra from Notre Dame · 17.9 mpg, 3.5 ppg last season
- Marley Curtis from North Dakota · 14.3 mpg, 5.1 ppg last season
- K.J. Windham from Northwestern · 5.1 mpg, 1.4 ppg last season
Returns 15% of last season's minutes; lost 4 of its top 5 (2 transferred). Teams returning under 40% of last season's minutes have historically fallen about 0.8 points of AdjEM (n=716 team-seasons, 2022-2026).
- Dylan Williamson 35.9 mpg, 14.6 ppg · transferred to Rhode Island
- Tyler Tejada 33.4 mpg, 16.7 ppg · transferred to Cincinnati
- Jack Doumbia Jr. 22.5 mpg, 10.1 ppg · not on a D1 roster yet
- Tyler Coleman 18.8 mpg, 5.0 ppg · not on a D1 roster yet
- Mor Seck 14.5 mpg, 3.2 ppg · not on a D1 roster yet
- Tyler Schmidt 13.2 mpg, 2.9 ppg · not on a D1 roster yet
- Ben Roseborough from San José St · 9.2 mpg, 4.0 ppg last season
- Denis Badalau from Rutgers · 8.8 mpg, 2.2 ppg last season
- Zion Stanford from Villanova · 1.5 mpg, 0.4 ppg last season
- Jon Barton no D1 minutes last season
- Devan Kirk no D1 minutes last season
- Alex Atkinson no D1 minutes last season
Returns 26% of last season's minutes; lost 4 of its top 5 (2 transferred). Teams returning under 40% of last season's minutes have historically fallen about 0.8 points of AdjEM (n=716 team-seasons, 2022-2026).
Head-to-head
this season and last| Date | Season | Result |
|---|---|---|
| Tue, Nov 18 | 2025-26 | Towson 75 – 81 James Madison |
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The CBB Matchups tab lays out the day's Division I slate: matchup, tip time, records and rank, and — once posted — the market spread and total (the median across books when no market line is up). Three views switch the table between projected scores, pace and totals, and each team's offensive and defensive tendencies. Each game opens into opponent-adjusted possessions, efficiency and four-factor tendencies for both teams, plus recent form, rotation and head-to-head history. Every game also carries our projected score, spread and total, from our line: the same view our bets are made from.
What these numbers mean: line shopping.