Western Kentucky Hilltoppers vs Tulsa Golden Hurricane basketball preview & prediction
Mon, Nov 16 · 7:00 PM ET · Reynolds Center, Tulsa, OK
Our play
Pace & total
possessions per 40 minutesProjected possessions: 73.8, from each team's opponent-adjusted tempo. On raw season pace, Western KY is the faster team (76.4, #50 of 365) and Tulsa the slower (68.1, #265). 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 | 58.3%#180 | 58.0% |
| Short 2 (≤9 ft) | 37.5%#165 | 0.0%#1 | 38.2% |
| Mid 2 (10 ft+) | 50.0%#45 | 0.0%#1 | 34.7% |
| Three | 34.2%#143 | 37.9%#291 | 32.5% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 63.6%#113 | 46.4%#48 | 58.0% |
| Short 2 (≤9 ft) | 100.0%#1 | 0.0%#1 | 38.2% |
| Mid 2 (10 ft+) | 100.0%#1 | 45.5%#265 | 34.7% |
| Three | 41.2%#50 | 38.2%#292 | 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 lineTulsa has more extra scoring chances per game: +11.6 (#38 of 365) to Western KY’s +6.9 (#85).
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 12 | G | So | 6'5" | 3-3 | 28.3 | 31 | — | Started last | 10.7 | 6.3 | 3.7 | 2.0 | 48.4% | 40.0% | 1.7 | 25.0% | 25.3% | |
| 3 | G | Jr | 6'0" | 3-2 | 26.7 | 29 | — | Started last | 8.3 | 2.3 | 5.3 | 0.3 | 44.2% | 38.5% | 4.3 | 66.7% | 18.7% | |
| 30 | G | Jr | 6'6" | 3-3 | 23.7 | 29 | — | Started last | 21.7 | 5.7 | 1.7 | 2.7 | 52.1% | 30.0% | 3.3 | 84.2% | 47.0% | |
| 2 | G | Sr | 6'3" | 3-1 | 20.7 | 22 | — | Bench | 8.7 | 2.3 | 1.3 | 1.3 | 25.0% | 20.0% | 1.7 | 94.4% | 25.9% | |
| 6 | F | So | 6'8" | 3-3 | 20.0 | 18 | — | Started last | 5.0 | 4.3 | 0.0 | 0.7 | 37.5% | 28.6% | 2.3 | 60.0% | 18.1% | |
| 23 | G | Sr | 6'5" | 3-0 | 18.3 | 20 | — | Bench | 3.3 | 3.3 | 0.0 | 0.7 | 21.4% | 0.0% | 0.3 | 100.0% | 17.1% | |
| 13 | F | Sr | 6'9" | 3-3 | 16.7 | 18 | — | Started last | 6.0 | 2.3 | 1.7 | 0.7 | 54.2% | 50.0% | 0.7 | 83.3% | 17.8% | |
| 32 | F | So | 6'10" | 3-0 | 16.3 | 17 | — | Bench | 7.3 | 5.0 | 0.3 | 0.0 | 76.9% | — | 0.0 | 40.0% | 16.6% | |
| 11 | F | Fr | 6'7" | 3-0 | 15.3 | 13 | — | Bench | 11.3 | 2.0 | 0.7 | 0.7 | 72.5% | 45.5% | 3.7 | 83.3% | 28.8% | |
| 24 | G | Fr | 6'6" | 3-0 | 5.7 | 5 | — | Bench | 1.0 | 0.7 | 0.7 | 0.3 | 150.0% | 100.0% | 0.3 | — | 6.2% | |
| 35 | F | Fr | 6'10" | 2-0 | 6.0 | — | — | Missed last | 3.0 | 1.5 | 0.5 | 0.0 | 100.0% | — | 0.0 | — | 14.1% | |
| 5 | G | So | 6'2" | 1-0 | 10.0 | 0 | — | Missed last game | 3.0 | 2.0 | 0.0 | 1.0 | 25.0% | 16.7% | 6.0 | — | 39.9% | |
| 1 | G | Fr | 5'11" | 1-0 | 1.0 | — | — | Missed last | 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 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 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 5 | N Illinois | H | W 94–75 | −14.5 | W+4.5 | 154.5 | O169 | 138.1 | 110.2 | 68.1 |
| Nov 2 | Ottawa (KS) Braves | H | W 98–50 | — | — | — | — | 140.3 | 71.6 | 69.9 |
| Apr 5 | Auburn | N | L 86–92 OT | +5.5 | L−0.5 | 159.5 | O178 | 105.2 | 112.5 | 81.8 |
| Apr 2 | New Mexico | N | W 74–69 | −3.0 | W+2.0 | 162.5 | U143 | 104.2 | 97.1 | 71.0 |
| Mar 24 | Wichita St | H | W 83–79 | −4.5 | L−0.5 | 154.0 | O162 | 110.6 | 105.2 | 75.1 |
| Mar 22 | UNLV | H | W 77–66 | −5.0 | W+6.0 | 161.5 | U143 | 117.0 | 100.3 | 65.8 |
| Mar 17 | SF Austin | H | W 89–84 OT | −6.5 | L−1.5 | 150.5 | O173 | 113.3 | 107.0 | 78.5 |
| Mar 14 | Wichita St | N | L 68–81 | −1.5 | L−14.5 | 152.0 | U149 | 104.9 | 124.9 | 64.8 |
| Mar 13 | North Texas | N | W 90–84 3OT | −8.5 | L−2.5 | 142.0 | O174 | 98.7 | 92.1 | 91.2 |
| Mar 8 | Temple | H | W 78–76 | −11.5 | L−9.5 | 150.5 | O154 | 116.6 | 113.6 | 66.9 |
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- 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).
- Miles Barnstable 30.3 mpg, 14.6 ppg · not on a D1 roster yet
- Ade Popoola 28.7 mpg, 10.8 ppg · transferred to DePaul
- Tylen Riley 27.7 mpg, 15.0 ppg · transferred to Cincinnati
- David Green 25.6 mpg, 15.1 ppg · not on a D1 roster yet
- Tyler Behrend 21.7 mpg, 6.5 ppg · transferred to Grand Canyon
- Romad Dean 16.0 mpg, 4.8 ppg · not on a D1 roster yet
- Macon Emory from Delaware · 37.1 mpg, 11.3 ppg last season
- Kobi Williams from Missouri St · 34.4 mpg, 14.0 ppg last season
- Jeremiah Johnson from Campbell · 32.4 mpg, 15.2 ppg last season
- Brent Moss from UTSA · 25.9 mpg, 9.3 ppg last season
- Chris Loofe from MTSU · 24.9 mpg, 7.3 ppg last season
- Mike Williams III from Seton Hall · 20.9 mpg, 7.0 ppg last season
Returns 15% of last season's minutes; lost 5 of its top 5 (3 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 |
|---|---|---|
| Fri, Dec 19 | 2025-26 | Tulsa 82 – 81 Western KY |
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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.