
Division 5 · BBMI #42
New Auburn
15–10 · 9-3 confRegion 1A · WIAA #6 · BBMI #42
Tournament Probabilities
Regional Quarter
100.0%Regional Semis
100.0%Regional Finals
0%Sectional Semi
1.6%Sectional Final
0%State Qualifier
0%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 | Away | W | 82 | 44 | |
| 12/05/2025 | 5 | Away | L | 52 | 55 | |
| 12/12/2025 | 5 | Away | W | 72 | 50 | |
| 12/16/2025 | 4 | Home | L | 40 | 69 | |
| 12/19/2025 | 5 | Home | L | 53 | 80 | |
| 12/23/2025 | 4 | Away | L | 54 | 71 | |
| 12/29/2025 | 4 | Home | L | 46 | 63 | |
| 01/08/2026 | 5 | Away | W | 97 | 32 | |
| 01/09/2026 | 5 | Away | W | 80 | 54 | |
| 01/13/2026 | 5 | Home | W | 80 | 48 | |
| 01/16/2026 | 5 | Away | L | 61 | 68 | |
| 01/20/2026 | 5 | Away | W | 93 | 46 | |
| 01/27/2026 | 5 | Home | L | 62 | 65 | |
| 01/30/2026 | 4 | Home | W | 68 | 60 | |
| 02/05/2026 | 5 | Home | L | 60 | 72 | |
| 02/06/2026 | 5 | Home | W | 87 | 53 | |
| 02/09/2026 | 5 | Home | W | 96 | 87 | |
| 02/12/2026 | 5 | Home | W | 79 | 48 | |
| 02/13/2026 | 5 | Home | W | 76 | 29 | |
| 02/17/2026 | 5 | Home | W | 92 | 59 | |
| 02/20/2026 | 5 | Away | W | 71 | 51 | |
| 02/23/2026 | 5 | Home | W | 101 | 50 | |
| 02/26/2026 | 5 | Away | L | 62 | 63 | |
| 03/03/2026 | 5 | Home | W | 58 | 47 | |
| 03/06/2026 | 5 | Home | L | 40 | 70 |
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.