Oakland Golden Grizzlies vs Boise State Broncos basketball prediction & odds
Wed, Nov 11 · 9:00 PM ET · ExtraMile Arena, Boise, ID
Our play
How our line is built
each step, from an even game to our lineThe spread is seen from the home side: a plus moves it toward Boise St. Our total joins once both teams have played 3 games.
Pace & total
possessions per 40 minutesProjected possessions: 71.8, from each team's opponent-adjusted tempo. On raw season pace, Boise St is the faster team (83.8, #3 of 365) and Oakland the slower (69.3, #227). 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 | 51.4%#255 | 63.2%#244 | 58.0% |
| Short 2 (≤9 ft) | 30.8%#224 | 20.0%#54 | 38.2% |
| Mid 2 (10 ft+) | 23.1%#267 | — | 34.7% |
| Three | 26.5%#270 | 22.2%#23 | 32.5% |
| Zone | D-I avg | ||
|---|---|---|---|
| Rim | 42.9%#324 | 72.1%#324 | 58.0% |
| Short 2 (≤9 ft) | 16.7%#299 | 30.8%#119 | 38.2% |
| Mid 2 (10 ft+) | 0.0%#327 | 35.7%#187 | 34.7% |
| Three | 48.6%#5 | 42.6%#323 | 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 lineBoise St has more extra scoring chances per game: +5.6 (#100 of 365) to Oakland’s +0.7 (#166).
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | F | Sr | 6'8" | 4-4 | 33.3 | 37 | — | Started last | 17.3 | 10.0 | 1.5 | 2.8 | 49.0% | 100.0% | 0.3 | 71.4% | 32.2% | |
| 0 | G | Jr | 6'6" | 4-4 | 32.0 | 37 | — | Started last | 15.5 | 3.5 | 1.5 | 3.3 | 44.1% | 29.0% | 7.8 | 94.4% | 32.7% | |
| 3 | G | So | 6'3" | 4-0 | 21.5 | 14 | — | Bench | 7.0 | 3.0 | 1.0 | 1.8 | 54.3% | 27.3% | 2.8 | 50.0% | 22.0% | |
| 13 | G | Jr | 6'6" | 4-4 | 21.5 | 29 | — | Started last | 3.8 | 2.3 | 1.0 | 1.3 | 25.0% | 0.0% | 1.8 | 83.3% | 18.6% | |
| 10 | G | Sr | 6'0" | 4-2 | 20.3 | 15 | — | Bench | 3.5 | 1.5 | 1.0 | 1.5 | 58.3% | 44.4% | 2.3 | — | 12.9% | |
| 24 | F | Sr | 6'8" | 4-4 | 17.8 | 9 | — | Started last | 5.0 | 2.8 | 0.8 | 1.0 | 31.6% | 0.0% | 0.3 | 61.5% | 23.6% | |
| 4 | G | Sr | 6'10" | 4-2 | 13.5 | 9 | — | Started last | 4.3 | 2.8 | 0.3 | 1.5 | 34.4% | 20.0% | 1.3 | 54.5% | 29.1% | |
| 1 | G | So | 6'4" | 4-0 | 12.8 | 17 | — | Bench | 2.0 | 1.5 | 0.0 | 0.5 | 44.4% | 25.0% | 2.0 | — | 12.5% | |
| 6 | F | So | 6'7" | 4-0 | 10.5 | 19 | — | Bench | 3.8 | 2.0 | 0.8 | 0.0 | 42.9% | — | 0.0 | 81.8% | 16.8% | |
| 5 | G | So | 6'8" | 4-0 | 6.0 | 10 | — | Bench | 3.0 | 0.3 | 0.3 | 0.0 | 66.7% | 50.0% | 1.0 | — | 22.3% | |
| 22 | F | Jr | 6'8" | 4-0 | 4.0 | 0 | — | Bench | 0.5 | 0.5 | 0.0 | 0.0 | 14.3% | 0.0% | 1.0 | — | 25.8% | |
| 11 | G | Fr | 6'6" | 4-0 | 3.5 | — | — | Active | 0.0 | 0.0 | 0.0 | 0.3 | 0.0% | 0.0% | 0.3 | — | 8.4% | |
| 21 | F | Fr | 6'8" | 4-0 | 3.3 | — | — | Active | 1.0 | 0.3 | 0.3 | 0.0 | 100.0% | — | 0.0 | 0.0% | 15.5% | |
| 7 | G | Fr | 6'6" | 1-0 | 1.0 | — | — | Out L3 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0% | 0.0% | 1.0 | — | 56.1% |
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 9 | #18Alabama | A | L 68–109 | +32.0 | L−9.0 | 171.0 | O177 | 95.3 | 152.8 | 71.3 |
| Nov 7 | Santa Barbara | A | L 67–90 | +13.5 | L−9.5 | 149.0 | O157 | 104.6 | 140.5 | 64.1 |
| Nov 6 | Stanford | A | L 63–81 | +15.0 | L−3.0 | 146.5 | U144 | 90.6 | 116.5 | 69.5 |
| Nov 2 | #16Michigan | A | L 68–84 | +26.5 | W+10.5 | 157.5 | U152 | 94.0 | 116.1 | 72.4 |
| Mar 4 | N Kentucky | H | L 84–85 | −2.0 | L−3.0 | 162.5 | O169 | 115.1 | 116.5 | 73.0 |
| Feb 28 | Detroit Mercy | H | L 89–95 | −8.0 | L−14.0 | 161.5 | O184 | 123.4 | 131.7 | 72.1 |
| Feb 25 | IU Indy | A | W 86–74 | −5.5 | W+6.5 | 167.5 | U160 | 118.5 | 101.9 | 72.6 |
| Feb 22 | Milwaukee | H | W 81–70 | −6.5 | W+4.5 | 160.0 | U151 | 123.9 | 107.1 | 65.4 |
| Feb 20 | Green Bay | H | L 68–73 | −6.5 | L−11.5 | 153.5 | U141 | 107.8 | 115.7 | 63.1 |
| Feb 15 | Robert Morris | A | L 69–93 | +1.5 | L−22.5 | 156.0 | O162 | 104.4 | 140.7 | 66.1 |
| Date | Opponent | Site | Result | Total | PPP for | PPP vs | Pace | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Nov 8 | Butler | H | W 100–81 | −2.5 | W+16.5 | 158.0 | O181 | 119.3 | 96.6 | 83.8 |
| Nov 4 | West Coast Baptist Eagles | H | W 132–53 | — | — | — | — | 149.9 | 60.2 | 88.1 |
| Mar 11 | San José St | N | L 74–84 | −14.5 | L−24.5 | 146.0 | O158 | 106.0 | 120.3 | 69.8 |
| Mar 7 | Colorado St | A | W 78–67 | −1.5 | W+9.5 | 144.0 | O145 | 127.3 | 109.4 | 61.3 |
| Mar 3 | San Diego St | H | W 86–77 | −1.0 | W+8.0 | 145.0 | O163 | 126.3 | 113.1 | 68.1 |
| Feb 28 | Fresno St | A | W 69–53 | −7.0 | W+9.0 | 149.0 | U122 | 114.9 | 88.3 | 60.0 |
| Feb 24 | Wyoming | H | W 72–62 | −8.5 | W+1.5 | 146.0 | U134 | 113.1 | 97.4 | 63.7 |
| Feb 21 | San José St | H | W 84–69 | −17.5 | L−2.5 | 146.0 | O153 | 127.9 | 105.0 | 65.7 |
| Feb 18 | Utah State | A | L 56–75 | +9.5 | L−9.5 | 152.5 | U131 | 93.0 | 124.5 | 60.2 |
| Feb 13 | UNLV | H | L 83–86 OT | −10.0 | L−13.0 | 154.0 | O169 | 119.3 | 123.7 | 69.5 |
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- Brody Robinson 35.8 mpg, 17.6 ppg · transferred to Creighton
- Tuburu Naivalurua 31.9 mpg, 14.3 ppg · not on a D1 roster yet
- Ziare Wells 26.8 mpg, 9.9 ppg · not on a D1 roster yet
- Isaac Garrett 25.3 mpg, 12.0 ppg · transferred to High Point
- Brett White II 24.0 mpg, 9.1 ppg · not on a D1 roster yet
- Michael Houge 22.5 mpg, 10.6 ppg · not on a D1 roster yet
- Belal El Shakery from New Hampshire · 25.7 mpg, 11.0 ppg last season
- Brady Swartz from W Michigan · 16.6 mpg, 6.2 ppg last season
- Chris Fields Jr. from Campbell · 14.8 mpg, 7.7 ppg last season
- Josh Hill from Robert Morris · 11.3 mpg, 5.0 ppg last season
- RJ Taylor from Northern Iowa · 9.1 mpg, 2.2 ppg last season
- Hamoudy Mashhour no D1 minutes last season
Returns 10% of last season's minutes; lost 5 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).
- Andrew Meadow 30.0 mpg, 12.1 ppg · transferred to Oregon
- Dylan Andrews 29.3 mpg, 12.5 ppg · not on a D1 roster yet
- Javan Buchanan 27.0 mpg, 12.3 ppg · transferred to West Virginia
- Drew Fielder 23.7 mpg, 14.7 ppg · transferred to Alabama
- R.J. Keene II 21.5 mpg, 2.6 ppg · transferred to NC State
- Dominic Parolin 17.0 mpg, 5.5 ppg · not on a D1 roster yet
- Dovydas Butka from Campbell · 30.9 mpg, 12.7 ppg last season
- Damari Wheeler-Thomas from N Dakota St · 27.9 mpg, 13.2 ppg last season
- Lamar Washington from Georgia Tech · 26.6 mpg, 8.9 ppg last season
- Jerquarius Stanback from Alabama St · 24.6 mpg, 8.8 ppg last season
- Ty Rodgers no D1 minutes last season
- Jikany Deang no D1 minutes last season
Returns 28% of last season's minutes; lost 5 of its top 5 (4 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 Wed, Nov 11
- FDU at East Texas A&M · 11:30 AM ET
- Kansas City vs Florida A&M · 12:00 PM ET
- Dartmouth at UAlbany · 1:00 PM ET
- Incarnate Word at UC Davis · 2:00 PM ET
- Loyola Chicago at Air Force · 3:00 PM ET
- Saint Joseph's vs South Florida · 3:00 PM ET
- NC A&T at East Carolina · 4:00 PM ET
- Bethune at San Diego St · 5:00 PM ET
- Penn at Navy · 5:30 PM ET
- NC Central at VMI · 6:00 PM ET
- S Indiana at IU Indy · 6:30 PM ET
- Charleston at Temple · 6:30 PM ET
- Marquette at Michigan · 7:00 PM ET
- UMass Lowell at UMass · 7:00 PM ET
- Cornell at St Bonaventure · 7:00 PM ET
- American at Drexel · 7:00 PM ET
- UNC Asheville at West Georgia · 7:00 PM ET
- William & Mary at FAU · 7:00 PM ET
- NJIT at VCU · 7:00 PM ET
- Colgate at St John's · 7:00 PM ET
- Campbell at ETSU · 7:00 PM ET
- James Madison at Delaware · 7:00 PM ET
- Furman at Holy Cross · 7:00 PM ET
- Saint Peter's at South Carolina · 7:00 PM ET
- Stony Brook at Princeton · 7:00 PM ET
- SC State at Notre Dame · 7:00 PM ET
- Old Dominion at Norfolk St · 7:00 PM ET
- Kent State at UNC Wilmington · 7:00 PM ET
- Milwaukee at Indiana St · 7:00 PM ET
- Pepperdine at Sam Houston · 7:30 PM ET
- Santa Clara at North Texas · 8:00 PM ET
- Jackson St at Southern Miss · 8:00 PM ET
- Jax State at Houston · 8:00 PM ET
- Oral Roberts at Tulsa · 8:00 PM ET
- Robert Morris at Arkansas · 8:00 PM ET
- Valparaiso at S Dakota St · 8:00 PM ET
- Cal Poly at Grand Canyon · 9:00 PM ET
- Nevada at Santa Barbara · 9:00 PM ET
- SF Austin at Abilene Chrstn · 9:00 PM ET
- Portland St at Colorado St · 9:00 PM ET
- Lindenwood at Nebraska · 9:00 PM ET
- AR-Pine Bluff at UCLA · 9:00 PM ET
- UTSA at Seattle U · 10:00 PM ET
- Pacific at Long Beach St · 10:00 PM ET
- Chicago St at CA Baptist · 10:00 PM ET
- Miss Valley St at Oregon · 10:00 PM ET
- USC at California · 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.