Richmond Spiders vs Western Kentucky Hilltoppers basketball preview & prediction
Fri, Nov 20 · 7:00 PM ET · Colonial Hall, White Sulphur Springs, WV (neutral site)
Our play
Pace & total
possessions per 40 minutesProjected possessions: 75.8, from each team's opponent-adjusted tempo. On raw season pace, Western KY is the faster team (76.4, #50 of 365) and Richmond the slower (73.5, #93). 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 | 67.4%#78 | 46.4%#48 | 58.0% |
| Short 2 (≤9 ft) | 16.7%#299 | 0.0%#1 | 38.2% |
| Mid 2 (10 ft+) | 25.0%#245 | 45.5%#265 | 34.7% |
| Three | 47.8%#7 | 38.2%#292 | 32.5% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 50.0%#261 | 59.3%#188 | 58.0% |
| Short 2 (≤9 ft) | 37.5%#165 | 50.0%#243 | 38.2% |
| Mid 2 (10 ft+) | 50.0%#45 | 20.0%#59 | 34.7% |
| Three | 34.2%#143 | 22.6%#27 | 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 lineWestern KY has more extra scoring chances per game: +6.9 (#85 of 365) to Richmond’s +3.5 (#127).
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | G | So | 6'0" | 3-3 | 27.0 | 32 | — | Started last | 10.0 | 2.3 | 3.3 | 1.0 | 61.8% | 55.6% | 3.0 | 69.2% | 17.8% | |
| 13 | G | Sr | 6'5" | 3-3 | 26.3 | 31 | — | Started last | 9.3 | 7.3 | 7.0 | 0.7 | 59.1% | 44.4% | 3.0 | 40.0% | 18.4% | |
| 7 | F | Sr | 6'6" | 3-3 | 26.3 | 33 | — | Started last | 15.7 | 5.3 | 0.7 | 1.0 | 75.0% | 64.3% | 4.7 | 50.0% | 24.4% | |
| 21 | C | So | 6'11" | 3-3 | 21.7 | 17 | — | Started last | 9.7 | 3.3 | 5.3 | 2.3 | 71.1% | 50.0% | 0.7 | 66.7% | 23.1% | |
| 1 | G | Jr | 6'5" | 3-3 | 21.3 | 16 | — | Started last | 17.0 | 4.0 | 2.0 | 1.3 | 80.8% | 66.7% | 3.0 | 90.0% | 29.6% | |
| 4 | F | Sr | 6'9" | 3-0 | 18.7 | 26 | — | Bench | 11.7 | 4.3 | 0.3 | 0.3 | 78.6% | 42.9% | 2.3 | 100.0% | 22.6% | |
| 5 | G | Sr | 6'6" | 3-0 | 15.7 | 8 | — | Bench | 6.7 | 3.7 | 0.3 | 1.7 | 55.6% | 0.0% | 1.0 | — | 26.9% | |
| 11 | G | So | 6'5" | 3-0 | 14.7 | 12 | — | Bench | 6.0 | 2.3 | 1.3 | 1.0 | 52.9% | 50.0% | 2.7 | — | 25.1% | |
| 0 | F | Fr | 6'8" | 3-0 | 14.0 | 18 | — | Bench | 4.7 | 0.0 | 3.0 | 1.0 | 41.7% | 0.0% | 1.0 | 80.0% | 22.8% | |
| 2 | G | Fr | 5'9" | 2-0 | 6.5 | 8 | — | Bench | 1.5 | 0.5 | 1.0 | 0.5 | 50.0% | 50.0% | 1.0 | — | 17.5% | |
| 8 | G | So | 6'6" | 2-0 | 6.0 | — | — | Active | 3.5 | 0.5 | 0.0 | 0.5 | 70.0% | 33.3% | 1.5 | — | 27.6% | |
| 16 | C | So | 6'11" | 2-0 | 5.0 | 0 | — | Bench | 0.0 | 1.5 | 0.5 | 0.5 | — | — | 0.0 | — | 5.6% | |
| 15 | G | Jr | 6'3" | 2-0 | 4.0 | — | — | Active | 2.0 | 1.0 | 0.0 | 0.5 | 50.0% | — | 0.0 | 50.0% | 33.9% |
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 8 | Temple | N | W 79–53 | −1.5 | W+24.5 | 151.0 | U132 | 113.5 | 76.2 | 69.6 |
| Nov 5 | Southern Virginia Knights | H | W 107–46 | — | — | — | — | 149.1 | 64.1 | 71.8 |
| Nov 2 | UNC Asheville | H | W 100–77 | −15.5 | W+7.5 | 152.5 | O177 | 129.0 | 99.3 | 77.5 |
| Mar 11 | Loyola Chicago | N | L 67–75 | −4.5 | L−12.5 | 141.5 | O142 | 107.2 | 120.0 | 62.5 |
| Mar 7 | Duquesne | A | L 77–79 | +4.5 | W+2.5 | 148.0 | O156 | 116.8 | 119.9 | 65.9 |
| Mar 3 | Dayton | H | L 60–65 | +5.0 | P0.0 | 145.0 | U125 | 97.0 | 105.1 | 61.8 |
| Feb 28 | Loyola Chicago | A | L 66–69 | −2.5 | L−5.5 | 146.5 | U135 | 91.7 | 95.9 | 72.0 |
| Feb 21 | St Bonaventure | H | W 99–94 | −1.0 | W+4.0 | 148.5 | O193 | 134.8 | 128.0 | 73.4 |
| Feb 18 | Davidson | A | L 63–65 | +5.0 | W+3.0 | 140.5 | U128 | 98.8 | 101.9 | 63.8 |
| Feb 14 | VCU | H | L 67–78 | +8.5 | L−2.5 | 156.0 | U145 | 95.9 | 111.6 | 69.9 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 8 | Tennessee Tech | A | L 94–97 | −3.0 | L−6.0 | 164.0 | O191 | 111.3 | 114.9 | 84.5 |
| Nov 5 | Kentucky Wesleyan Panthers | H | W 82–48 | — | — | — | — | 116.5 | 68.2 | 70.4 |
| Nov 2 | Morehead St | H | W 83–58 | −17.5 | W+7.5 | 153.0 | U141 | 121.3 | 84.8 | 68.4 |
| Mar 12 | Kennesaw St | N | L 87–96 | −1.0 | L−10.0 | 159.5 | O183 | 113.0 | 124.6 | 77.0 |
| Mar 7 | FIU | A | L 67–92 | −1.0 | L−26.0 | 160.0 | U159 | 91.5 | 125.7 | 73.2 |
| Mar 5 | Missouri St | A | L 74–87 | −1.0 | L−14.0 | 152.5 | O161 | 111.3 | 130.9 | 66.5 |
| Feb 28 | UTEP | H | W 97–65 | −9.0 | W+23.0 | 146.5 | O162 | 134.7 | 90.2 | 72.0 |
| Feb 26 | New Mexico St | H | W 93–70 | −5.5 | W+17.5 | 151.5 | O163 | 117.8 | 88.7 | 78.9 |
| Feb 21 | Liberty | A | W 94–73 | +7.5 | W+28.5 | 149.0 | O167 | 135.5 | 105.3 | 69.3 |
| Feb 18 | Delaware | A | W 88–87 OT | −4.0 | L−3.0 | 139.5 | O175 | 126.7 | 125.3 | 69.4 |
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- Will Johnston 27.5 mpg, 9.7 ppg · not on a D1 roster yet
- AJ Lopez 25.8 mpg, 13.4 ppg · not on a D1 roster yet
- Michael Walz 21.2 mpg, 7.9 ppg · transferred to Charlotte
- Mikkel Tyne 18.4 mpg, 6.0 ppg · transferred to Buffalo
- Jaden Daughtry 15.2 mpg, 8.6 ppg · transferred to Stony Brook
- David Thomas 13.6 mpg, 4.1 ppg · transferred to Georgia St
- Amon Dorries from Bucknell · 32.5 mpg, 16.2 ppg last season
- Derin Saran from UC Irvine · 29.7 mpg, 11.5 ppg last season
- Jamie Kaiser Jr. from Butler · 27.2 mpg, 8.9 ppg last season
- Dominick Stewart from Penn State · 22.5 mpg, 6.6 ppg last season
- Andrew Ball from Monmouth · 20.5 mpg, 7.9 ppg last season
- Jack McCaffery from Butler · 2.7 mpg, 0.8 ppg last season
Returns 22% 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).
- Grant Newell 25.9 mpg, 13.0 ppg · not on a D1 roster yet
- Ryan Myers 22.5 mpg, 11.0 ppg · not on a D1 roster yet
- Terrion Murdix 17.9 mpg, 4.2 ppg · not on a D1 roster yet
- Blaise Keita 12.5 mpg, 2.4 ppg · not on a D1 roster yet
- Cam Haffner 11.0 mpg, 3.8 ppg · transferred to Oral Roberts
- Leeroy Odiahi 9.4 mpg, 2.0 ppg · not on a D1 roster yet
- Noah Norgaard from UNC Greensboro · 25.1 mpg, 7.7 ppg last season
- Emondrek Erkins-Ford from Jax State · 21.5 mpg, 8.3 ppg last season
- Sharron Young from Akron · 18.6 mpg, 7.0 ppg last season
- EJ Walker from South Carolina · 10.9 mpg, 2.0 ppg last season
- Joseph Adebayo no D1 minutes last season
- Moussa Konare no D1 minutes last season
Returns 38% of last season's minutes; lost 2 of its top 5. 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 lastMore games on Fri, Nov 20
- Temple vs MTSU · 12:30 PM ET
- Oklahoma St vs Minnesota · 12:30 PM ET
- G Washington vs UAB · 2:00 PM ET
- Indiana St vs SF Austin · 3:00 PM ET
- W Illinois vs UAlbany · 3:00 PM ET
- Northwestern vs Virginia Tech · 3:00 PM ET
- S Dakota St at Idaho St · 4:00 PM ET
- Rhode Island vs Liberty · 4:30 PM ET
- Manhattan at Miami · 5:00 PM ET
- UT Martin vs S Illinois · 5:30 PM ET
- Mercyhurst at Canisius · 5:30 PM ET
- Dayton vs Utah · 5:30 PM ET
- Delaware at CSU Northridge · 6:00 PM ET
- North Texas at App State · 6:30 PM ET
- Coastal at Tennessee · 7:00 PM ET
- C Michigan at Pitt · 7:00 PM ET
- Wagner at Maryland · 7:00 PM ET
- Saint Joseph's at Drexel · 7:00 PM ET
- Harvard at Holy Cross · 7:00 PM ET
- Loyola MD at Virginia · 7:00 PM ET
- SE Louisiana at Kennesaw St · 7:00 PM ET
- W Michigan at Mount St Marys · 7:00 PM ET
- Kansas City at Iona · 7:00 PM ET
- Bellarmine at E Kentucky · 7:00 PM ET
- Monmouth at Princeton · 7:00 PM ET
- Niagara at Delaware St · 7:00 PM ET
- SC State at The Citadel · 7:00 PM ET
- Oakland at Purdue · 7:00 PM ET
- Georgia St at Jax State · 7:00 PM ET
- Iowa at Xavier · 7:30 PM ET
- UT Arlington at N'Western St · 7:30 PM ET
- Mississippi St vs Tulsa · 7:30 PM ET
- Georgia at Georgia Tech · 8:00 PM ET
- Green Bay at Florida St · 8:00 PM ET
- Campbell at Kansas St · 8:00 PM ET
- Utah Valley vs East Carolina · 8:00 PM ET
- Kentucky vs Indiana · 8:00 PM ET
- Le Moyne at Missouri · 8:00 PM ET
- Lipscomb at Alabama A&M · 8:00 PM ET
- UCF at Vanderbilt · 8:00 PM ET
- Miss Valley St at Arkansas · 8:00 PM ET
- South Alabama at SMU · 8:00 PM ET
- Marshall at North Carolina · 9:00 PM ET
- E Illinois at Illinois · 9:00 PM ET
- Bakersfield at Idaho · 9:00 PM ET
- Sam Houston at Boise St · 9:00 PM ET
- Alabama St at Fresno St · 10:00 PM ET
- Saint Louis at Saint Mary's · 11:00 PM ET
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.