
Division 3 · BBMI #54
Ashland
12–13 · 9-9 confRegion 1A · WIAA #8 · BBMI #54
Tournament Probabilities
Regional Quarter
100.0%Regional Semis
100.0%Regional Finals
0%Sectional Semi
2.2%Sectional Final
1.1%State Qualifier
0.2%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 |
|---|---|---|---|---|---|---|
| 12/01/2025 | 2 | Home | L | 41 | 75 | |
| 12/04/2025 | 3 | Away | L | 52 | 57 | |
| 12/06/2025 | 4 | Away | L | 40 | 42 | |
| 12/12/2025 | 3 | Home | W | 92 | 83 | |
| 12/22/2025 | 5 | Away | W | 71 | 43 | |
| 01/03/2026 | 4 | Home | L | 50 | 55 | |
| 01/09/2026 | 3 | Away | L | 44 | 78 | |
| 01/13/2026 | 4 | Away | W | 75 | 69 | |
| 01/15/2026 | 3 | Home | W | 87 | 58 | |
| 01/20/2026 | 4 | Away | L | 68 | 79 | |
| 01/26/2026 | 3 | Home | W | 62 | 44 | |
| 01/27/2026 | 4 | Home | W | 66 | 52 | |
| 01/30/2026 | 1 | Away | L | 46 | 63 | |
| 02/02/2026 | 3 | Home | L | 61 | 69 | |
| 02/03/2026 | 3 | Away | W | 76 | 67 | |
| 02/06/2026 | 4 | Home | W | 78 | 58 | |
| 02/10/2026 | 2 | Away | L | 45 | 51 | |
| 02/12/2026 | 4 | Away | L | 60 | 71 | |
| 02/17/2026 | 3 | Home | L | 58 | 74 | |
| 02/20/2026 | 3 | Away | W | 90 | 42 | |
| 02/23/2026 | 2 | Home | W | 73 | 65 | |
| 02/24/2026 | 4 | Home | W | 68 | 61 | |
| 02/26/2026 | 3 | Away | L | 47 | 70 | |
| 03/03/2026 | 3 | Home | W | 89 | 83 | |
| 03/06/2026 | 3 | Home | L | 36 | 54 |
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.