
Division 4 · BBMI #59
Dodgeland
11–13 · 6-8 confRegion 3B · WIAA #7 · BBMI #59
Tournament Probabilities
Regional Quarter
100.0%Regional Semis
0%Regional Finals
0%Sectional Semi
<0.1%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 | 5 | Home | L | 48 | 56 | |
| 12/05/2025 | 5 | Home | L | 54 | 64 | |
| 12/08/2025 | 4 | Away | L | 50 | 77 | |
| 12/12/2025 | 5 | Home | W | 74 | 71 | |
| 12/19/2025 | 4 | Home | L | 50 | 67 | |
| 12/22/2025 | 5 | Away | W | 66 | 65 | |
| 12/30/2025 | 5 | Home | L | 56 | 59 | |
| 01/06/2026 | 5 | Away | W | 84 | 50 | |
| 01/09/2026 | 5 | Home | W | 64 | 59 | |
| 01/12/2026 | 5 | Away | L | 42 | 76 | |
| 01/16/2026 | 5 | Away | L | 52 | 76 | |
| 01/20/2026 | 5 | Away | L | 34 | 57 | |
| 01/26/2026 | 4 | Home | W | 66 | 47 | |
| 01/29/2026 | 5 | Away | L | 57 | 72 | |
| 01/31/2026 | 5 | Away | W | 69 | 59 | |
| 02/03/2026 | 5 | Home | L | 39 | 54 | |
| 02/06/2026 | 4 | Away | L | 60 | 72 | |
| 02/12/2026 | 5 | Home | W | 83 | 63 | |
| 02/13/2026 | 3 | Home | L | 55 | 70 | |
| 02/17/2026 | 5 | Away | W | 84 | 75 | |
| 02/20/2026 | 4 | Away | W | 65 | 57 | |
| 02/23/2026 | 5 | Away | W | 76 | 45 | |
| 02/26/2026 | Saint Lawrence Seminary | 0 | Home | W | 47 | 44 |
| 03/03/2026 | 4 | Home | L | 61 | 65 |
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.