
Division 4 · BBMI #46
Cameron
13–12 · 11-7 confRegion 1A · WIAA #10 · BBMI #46
Tournament Probabilities
Regional Quarter
100.0%Regional Semis
0%Regional Finals
0%Sectional Semi
2.2%Sectional Final
1.1%State Qualifier
0.1%State Finalist
0%State Champion
0%Badges are assigned against fixed statistical thresholds, not relative to other teams. Tournament odds come from the bracket simulation — see the Tournament Pulse.
Played games
25| Date | Opponent | Div | Loc | Result | Team | Opp |
|---|---|---|---|---|---|---|
| 12/02/2025 | 5 | Home | W | 78 | 43 | |
| 12/04/2025 | 4 | Home | W | 87 | 64 | |
| 12/12/2025 | 3 | Home | L | 51 | 71 | |
| 12/19/2025 | 3 | Away | W | 72 | 27 | |
| 12/22/2025 | 4 | Home | L | 41 | 91 | |
| 12/30/2025 | 3 | Away | L | 70 | 80 | |
| 01/03/2026 | 4 | Home | W | 82 | 34 | |
| 01/09/2026 | 3 | Home | W | 66 | 57 | |
| 01/10/2026 | 4 | Home | W | 79 | 61 | |
| 01/12/2026 | 4 | Away | L | 67 | 74 | |
| 01/15/2026 | 3 | Home | W | 66 | 53 | |
| 01/20/2026 | 3 | Home | W | 79 | 68 | |
| 01/26/2026 | 4 | Away | W | 82 | 49 | |
| 01/29/2026 | 4 | Away | W | 65 | 38 | |
| 02/03/2026 | 3 | Away | L | 53 | 60 | |
| 02/06/2026 | 3 | Home | W | 89 | 54 | |
| 02/09/2026 | 3 | Away | L | 78 | 111 | |
| 02/10/2026 | 3 | Away | L | 45 | 58 | |
| 02/13/2026 | 4 | Home | L | 55 | 68 | |
| 02/17/2026 | 3 | Away | L | 33 | 66 | |
| 02/19/2026 | 4 | Away | L | 46 | 69 | |
| 02/20/2026 | 3 | Away | W | 59 | 57 | |
| 02/24/2026 | 3 | Away | L | 61 | 68 | |
| 02/26/2026 | 3 | Home | W | 64 | 61 | |
| 03/03/2026 | 4 | Home | L | 66 | 74 |
Opponents ranked in the BBMI top 25 are flagged in red.
How classification & tournament odds are built
Classification badges compare a team’s stats against fixed thresholds — a primary badge for its most dominant trait, plus up to three secondary badges. A team meeting no threshold is “Balanced.” Badges describe style; they don’t feed the ratings.
Tournament probabilities nest by round — State Champion ≤ State Finalist ≤ State Qualifier, and so on — from the bracket simulation using team ratings, seeding, and home-site advantage.
Wider error bars than the college models, since prep stats are self-reported and noisier.