UC Santa Barbara Gauchos vs Pepperdine Waves basketball preview & prediction
Thu, Nov 19 · Tip time TBD · Firestone Fieldhouse, Malibu, CA
Our play
Pace & total
possessions per 40 minutesProjected possessions: 68.6, from each team's opponent-adjusted tempo. On raw season pace, Pepperdine is the faster team (75.5, #57 of 365) and Santa Barbara the slower (64.1, #337). 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 | 46.7%#305 | 55.6%#137 | 58.0% |
| Short 2 (≤9 ft) | 0.0%#323 | 60.0%#305 | 38.2% |
| Mid 2 (10 ft+) | 40.0%#117 | 33.3%#155 | 34.7% |
| Three | 62.1%#1 | 48.3%#349 | 32.5% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 50.0%#261 | 50.0%#75 | 58.0% |
| Short 2 (≤9 ft) | 100.0%#1 | 0.0%#1 | 38.2% |
| Mid 2 (10 ft+) | 100.0%#1 | 0.0%#1 | 34.7% |
| Three | 26.7%#261 | 45.5%#344 | 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 linePepperdine has more extra scoring chances per game: +13.7 (#24 of 365) to Santa Barbara’s +11.6 (#37).
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
| # | Player | Pos | Cl | Ht | GP-GS | MPG | PPG | RPG | APG | TOV | eFG% | 3P% | 3PA/g | FT% | Usage | Status |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 20 | G | Sr | 6'3" | 2-2 | 24.0 | 11.5 | 0.5 | 2.0 | 0.5 | 70.0% | 71.4% | 3.5 | 100.0% | 21.4% | Active | |
| 3 | G | So | 6'5" | 2-2 | 22.5 | 8.0 | 1.5 | 1.0 | 0.0 | 41.7% | 40.0% | 2.5 | 100.0% | 20.1% | Active | |
| 1 | G | Sr | 6'4" | 2-2 | 20.5 | 7.0 | 1.5 | 5.0 | 2.5 | 78.6% | 75.0% | 2.0 | 42.9% | 22.8% | Active | |
| 9 | C | So | 6'10" | 2-2 | 18.5 | 10.5 | 5.0 | 0.0 | 1.0 | 63.6% | — | 0.0 | 70.0% | 29.2% | Active | |
| 5 | G | Sr | 6'3" | 2-0 | 18.5 | 7.0 | 2.0 | 5.5 | 0.5 | 70.0% | 50.0% | 2.0 | — | 17.9% | Active | |
| 8 | G | Sr | 6'6" | 2-0 | 18.0 | 14.0 | 3.5 | 1.0 | 1.0 | 65.8% | 45.5% | 5.5 | 100.0% | 37.6% | Active | |
| 4 | G | Sr | 6'7" | 2-1 | 16.0 | 7.0 | 4.5 | 4.5 | 0.5 | 81.3% | 60.0% | 2.5 | 50.0% | 18.7% | Active | |
| 12 | F | Sr | 6'9" | 2-0 | 12.5 | 10.0 | 3.5 | 0.0 | 0.5 | 70.0% | 57.1% | 3.5 | 66.7% | 36.0% | Active | |
| 10 | F | So | 6'8" | 2-0 | 11.5 | 1.0 | 3.5 | 1.5 | 0.5 | 100.0% | — | 0.0 | 0.0% | 7.6% | Active | |
| 23 | F | So | 6'8" | 2-1 | 10.0 | 2.5 | 0.5 | 0.0 | 0.0 | 41.7% | 50.0% | 1.0 | — | 18.3% | Active | |
| 2 | G | So | 6'5" | 2-0 | 8.5 | 1.0 | 1.0 | 0.5 | 0.0 | 25.0% | 0.0% | 1.0 | 0.0% | 17.3% | Active | |
| 00 | F | Sr | 6'10" | 2-0 | 6.0 | 1.0 | 1.5 | 0.0 | 0.5 | 50.0% | — | 0.0 | — | 15.0% | Active | |
| 6 | G | Fr | 6'0" | 2-0 | 5.5 | 4.5 | 1.0 | 0.5 | 1.5 | 50.0% | 0.0% | 0.5 | 60.0% | 61.2% | Active | |
| 7 | C | Fr | 6'11" | 2-0 | 4.0 | 1.0 | 1.0 | 0.0 | 0.0 | 100.0% | — | 0.0 | — | 7.5% | Active | |
| 35 | F | So | 6'11" | 2-0 | 2.5 | 1.5 | 2.0 | 0.0 | 0.0 | 0.0% | — | 0.0 | 75.0% | 45.9% | Active | |
| 21 | F | So | 6'5" | 1-0 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | — | — | 0.0 | — | 0.0% | Missed last |
Trends
Results against the closing spread and total, last ten games| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 7 | Oakland | H | W 90–67 | −13.5 | W+9.5 | 149.0 | O157 | 140.5 | 104.6 | 64.1 |
| Nov 2 | San Francisco State Gators | H | W 85–55 | — | — | — | — | 123.3 | 79.8 | 68.9 |
| Mar 11 | UC Davis | N | L 73–79 | −4.5 | L−10.5 | 139.5 | O152 | 99.1 | 107.2 | 73.7 |
| Mar 7 | UC San Diego | H | L 63–64 | −2.0 | L−3.0 | 142.0 | U127 | 100.9 | 102.5 | 62.4 |
| Feb 28 | UC Irvine | A | L 60–64 | +3.5 | L−0.5 | 138.5 | U124 | 90.8 | 96.9 | 66.1 |
| Feb 26 | UC Riverside | H | W 70–59 | −11.0 | P0.0 | 145.5 | U129 | 102.7 | 86.6 | 68.1 |
| Feb 21 | Hawai'i | A | L 75–78 OT | +5.0 | W+2.0 | 145.5 | O153 | 101.3 | 105.4 | 74.0 |
| Feb 19 | CSU Northridge | H | L 83–85 OT | −5.5 | L−7.5 | 156.5 | O168 | 99.7 | 102.1 | 83.2 |
| Feb 14 | Cal Poly | A | L 79–89 | −4.5 | L−14.5 | 159.0 | O168 | 118.5 | 133.5 | 66.7 |
| Feb 12 | UC Riverside | A | W 76–68 | −7.0 | W+1.0 | 145.0 | U144 | 118.1 | 105.7 | 64.3 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 7 | Bethesda Flames | H | W 116–43 | — | — | — | — | 148.3 | 55.0 | 78.2 |
| Nov 5 | La Sierra Golden Eagles | H | W 106–66 | — | — | — | — | 136.2 | 84.8 | 77.8 |
| Nov 2 | Cornell | A | L 85–86 | −3.5 | L−4.5 | 165.0 | O171 | 112.5 | 113.9 | 75.5 |
| Mar 5 | Portland | N | L 68–77 | +3.5 | L−5.5 | 154.0 | U145 | 98.2 | 111.2 | 69.3 |
| Feb 28 | Washington St | H | W 88–79 | +8.0 | W+17.0 | 158.0 | O167 | 116.6 | 104.6 | 75.5 |
| Feb 25 | Seattle U | H | L 80–87 | +7.5 | W+0.5 | 145.5 | O167 | 114.1 | 124.1 | 70.1 |
| Feb 21 | Oregon St | A | L 73–83 | +9.0 | L−1.0 | 148.5 | O156 | 101.4 | 115.3 | 72.0 |
| Feb 18 | Portland | A | W 95–87 | +7.0 | W+15.0 | 151.0 | O182 | 136.2 | 124.8 | 69.7 |
| Feb 14 | LMU | H | W 90–89 | +6.0 | W+7.0 | 148.5 | O179 | 126.4 | 125.0 | 71.2 |
| Feb 11 | Saint Mary's | A | L 60–88 | +24.5 | L−3.5 | 144.0 | O148 | 83.8 | 122.9 | 71.6 |
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- Colin Smith 28.4 mpg, 11.5 ppg · transferred to Northwestern
- Zion Sensley 25.2 mpg, 10.9 ppg · transferred to LMU
- Hosana Kitenge 20.8 mpg, 7.5 ppg · not on a D1 roster yet
- Evans Kipruto 7.9 mpg, 2.3 ppg · not on a D1 roster yet
- ZZ Clark 4.4 mpg, 1.5 ppg · transferred to William & Mary
- Jason Fontenet II 4.2 mpg, 1.0 ppg · transferred to Rhode Island
- RJ Smith from DePaul · 27.7 mpg, 6.6 ppg last season
- Eric Dibami from FIU · 27.2 mpg, 8.7 ppg last season
- Viljami Vartiainen from Weber St · 24.3 mpg, 10.4 ppg last season
- Antonio Chol from New Mexico · 24.2 mpg, 7.7 ppg last season
- Declan Duru Jr. from Texas · 2.3 mpg, 0.4 ppg last season
- Bryce Bedgood no D1 minutes last season
Returns 55% of last season's minutes; lost 3 of its top 5 (2 transferred).
- Styles Phipps 34.0 mpg, 13.4 ppg · transferred to Nevada
- Aaron Clark 32.3 mpg, 15.3 ppg · transferred to Little Rock
- Javon Cooley 30.1 mpg, 11.4 ppg · not on a D1 roster yet
- Danilo Dozic 26.4 mpg, 9.5 ppg · not on a D1 roster yet
- Yonatan Levy 20.5 mpg, 5.2 ppg · transferred to Chattanooga
- Pavle Stosic 15.7 mpg, 3.5 ppg · transferred to FDU
- Petar Majstorovic from Long Beach St · 31.1 mpg, 14.4 ppg last season
- Jahari Williamson from Kent State · 25.1 mpg, 10.3 ppg last season
- Youri Fritz from Northeastern · 20.9 mpg, 7.9 ppg last season
- Evan Haywood from Butler · 17.6 mpg, 6.5 ppg last season
- Ethan Meuser from Stonehill · 12.4 mpg, 3.7 ppg last season
- Anthony Robinson from Xavier · 7.9 mpg, 1.8 ppg last season
Returns 5% 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 lastMore games on Thu, Nov 19
- NC State vs Murray St · 6:00 PM ET
- Northeastern at Butler · 7:00 PM ET
- Buffalo at St Bonaventure · 7:00 PM ET
- UMBC at Ohio State · 7:00 PM ET
- Montana St at High Point · 7:00 PM ET
- Little Rock at Jacksonville · 7:00 PM ET
- Maine at Quinnipiac · 7:00 PM ET
- Southern Miss at Grambling · 7:00 PM ET
- Robert Morris at Toledo · 7:00 PM ET
- Tulane at Louisiana Tech · 7:30 PM ET
- Charleston at Drake · 7:30 PM ET
- Southern Utah at Texas · 8:00 PM ET
- Stetson at Louisville · 8:00 PM ET
- Texas A&M at TCU · 8:00 PM ET
- SE Missouri at St Thomas · 8:00 PM ET
- GA Southern at Hou Christian · 8:00 PM ET
- Seton Hall vs Wisconsin · 8:30 PM ET
- UTEP at New Mexico St · 9:00 PM ET
- Utah Tech at Washington · 9:00 PM ET
- Oregon St vs Oregon · 9:00 PM ET
- East Texas A&M at California · 10:00 PM ET
- Sacramento St at Stanford · 10:00 PM ET
- VCU at Santa Clara · 10:30 PM ET
- Tarleton St at USC · 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.