
Division 5 · BBMI #119
Cornell
4–19 · 3-11 confRegion 1B · WIAA #13 · BBMI #119
Team Classification
Primary
Pickpockets
Turnover creation masters
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
23| Date | Opponent | Div | Loc | Result | Team | Opp |
|---|---|---|---|---|---|---|
| 12/01/2025 | 5 | Away | L | 38 | 72 | |
| 12/05/2025 | 5 | Home | W | 59 | 47 | |
| 12/11/2025 | 5 | Home | L | 45 | 80 | |
| 12/16/2025 | 4 | Away | L | 51 | 62 | |
| 12/18/2025 | 5 | Away | L | 44 | 62 | |
| 12/22/2025 | 5 | Home | L | 37 | 71 | |
| 12/23/2025 | 5 | Home | L | 39 | 46 | |
| 01/08/2026 | 5 | Away | L | 43 | 60 | |
| 01/09/2026 | 5 | Home | L | 54 | 80 | |
| 01/13/2026 | 5 | Away | L | 30 | 74 | |
| 01/15/2026 | 5 | Away | W | 61 | 40 | |
| 01/16/2026 | 5 | Away | L | 40 | 61 | |
| 01/20/2026 | 5 | Home | W | 59 | 22 | |
| 01/26/2026 | 5 | Home | L | 39 | 73 | |
| 01/27/2026 | 5 | Away | L | 46 | 82 | |
| 02/02/2026 | 4 | Home | L | 30 | 76 | |
| 02/03/2026 | 5 | Home | L | 31 | 54 | |
| 02/06/2026 | 5 | Home | L | 54 | 64 | |
| 02/09/2026 | 4 | Home | L | 31 | 94 | |
| 02/13/2026 | 5 | Away | L | 29 | 76 | |
| 02/16/2026 | 5 | Away | W | 47 | 21 | |
| 02/20/2026 | 5 | Home | L | 41 | 80 | |
| 03/03/2026 | 5 | Home | L | 35 | 81 |
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.