
Division 4 · BBMI #96
Wisconsin Heights
2–22 · 1-9 confRegion 3A · WIAA #11 · BBMI #96
Tournament Probabilities
Regional Quarter
100.0%Regional Semis
0%Regional Finals
0%Sectional Semi
0%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
24| Date | Opponent | Div | Loc | Result | Team | Opp |
|---|---|---|---|---|---|---|
| 12/02/2025 | 3 | Home | L | 29 | 74 | |
| 12/06/2025 | 5 | Away | L | 49 | 82 | |
| 12/08/2025 | 5 | Away | L | 38 | 74 | |
| 12/15/2025 | 3 | Away | L | 39 | 79 | |
| 12/19/2025 | 5 | Home | L | 40 | 75 | |
| 12/22/2025 | 5 | Home | L | 51 | 58 | |
| 12/30/2025 | 5 | Home | L | 33 | 81 | |
| 01/05/2026 | 3 | Away | L | 48 | 70 | |
| 01/06/2026 | 3 | Away | L | 11 | 74 | |
| 01/08/2026 | 4 | Home | L | 48 | 63 | |
| 01/09/2026 | 3 | Away | L | 38 | 89 | |
| 01/12/2026 | 5 | Home | W | 66 | 61 | |
| 01/15/2026 | 4 | Home | L | 45 | 54 | |
| 01/20/2026 | 4 | Home | L | 31 | 73 | |
| 01/26/2026 | 4 | Away | L | 59 | 76 | |
| 01/29/2026 | 4 | Away | L | 42 | 88 | |
| 02/02/2026 | 4 | Home | L | 47 | 67 | |
| 02/06/2026 | 3 | Home | L | 30 | 75 | |
| 02/10/2026 | 5 | Home | L | 62 | 70 | |
| 02/12/2026 | 4 | Away | L | 40 | 54 | |
| 02/17/2026 | 4 | Away | L | 29 | 68 | |
| 02/20/2026 | 4 | Away | W | 66 | 64 | |
| 02/26/2026 | 4 | Home | L | 37 | 90 | |
| 03/03/2026 | 4 | Home | L | 36 | 66 |
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.