Brown Bears vs Cornell Big Red prediction
Chance to win · 25% and 54% in regulation
All predictions
9 picks · Average confidence 67%Full game
- 1X2Cornell1.41Confidence 55%
- Best tip of the game: Over/UnderU6.51.36Confidence 71%
- HandicapBrown +2.51.56Confidence 66%
- Winner (incl. OT)CornellConfidence 64%
- Double chanceCornell or draw1.13Confidence 71%
- Draw no betCornell1.17Confidence 66%
- Both teams to score (GG/NG)Yes1.17Confidence 84%
1st period
- 1st period 1X2CornellConfidence 51%
- 1st period Over/UnderU2.5Confidence 79%
How to read the picks
Confidence is the model’s own score for a pick, out of 100. It is not a probability, but picks with higher confidence have won more often. The score details show the model’s probability instead — they are not picks.
Why some of these picks carry a lower confidence: form from only 4 games; no record yet for this market in the model’s replay.
Predicted final score
What the picks are derived from. Not a bet.Score details
- Correct score1–34%chance
- 1st period correct score0–120%chance
- Highest scoring period3rd period30%chance
Score breakdown
- After 60 minutes 1-3
- By period 0-1, 0-1, 1-1
- Likeliest 1-3 (4%), 2-3 (4%), 1-2 (4%)
Season so far
This seasonHead-to-head
- Jan 31, 2026: Brown Bears 2, Cornell Big Red 4.
- Nov 14, 2025: Cornell Big Red 4, Brown Bears 1.
- Feb 14, 2025: Brown Bears 1, Cornell Big Red 6.
- Nov 9, 2024: Cornell Big Red 3, Brown Bears 1.
Last five games
- Loss, 1–3 at Dartmouth Big Green, Nov 7. Odds: Dartmouth 1.30, Brown 7.00.
- Loss, 1–4 at Harvard Crimson, Nov 6. Odds: Harvard 1.50, Brown 4.75.
- Loss, 1–2 at Yale Bulldogs, Oct 30. Odds: Yale 2.12, Brown 2.65.
- Loss, 1–3 at Boston University Terriers, Oct 10.
- Loss, 0–9 at Union Dutchmen, Mar 7.
- Win, 3–2 against Princeton Tigers, Nov 7. Odds: Cornell 1.75, Princeton 3.50.
- Loss, 1–4 against Quinnipiac Bobcats, Nov 6. Odds: Cornell 3.10, Quinnipiac 1.88.
- Loss, 2–3 against Sacred Heart Pioneers, Oct 31. Odds: Cornell 1.50, Sacred Heart 4.65.
- Win, 5–2 against Sacred Heart Pioneers, Oct 30. Odds: Cornell 1.60, Sacred Heart 4.05.
- Loss, 0–5 at Denver Pioneers, Mar 27.
Each side’s last five, every competition — W a win, L a loss, OT a loss after overtime or a shootout. Beside each team, its goals and its 1X2 odds before puck drop; the odds that came in are lit (none after overtime: the draw).
Key insights
- 9-game losing streak for Brown Bears coming into this game.
- 4-0 in the last 4 meetings for Cornell Big Red.
- 5.5 goals per meeting across the last 4 head-to-head games; the total is 5.5.
- 10th vs 3rd in the NCAA standings.
How the odds moved
| Market | Opening | Now | Move |
|---|---|---|---|
| 1X2: 1 (BRO) | 5.50 | 5.50 | No change |
| 1X2: X (draw) | 4.80 | 4.80 | No change |
| 1X2: 2 (CBR) | 1.40 | 1.40 | No change |
| Over/Under line | 5.5 | 5.5 | No change |
| Handicap BRO | +1.5 | +1.5 | No change |
Opening and current odds from the bookmakers we track; the handicap line is shown from the home team’s side.
NCAA standings
NCAA · ECAC
| # | Team | GP | W | L | OTL | Pts | P% | +/− |
|---|---|---|---|---|---|---|---|---|
| 1 | 29 | 24 | 0 | 0 | 116 | 2.000 | 0 | |
| 2 | 25 | 17 | 1 | 0 | 92 | 1.840 | 0 | |
| 3 | 25 | 16 | 1 | 1 | 92 | 1.840 | 0 | |
| 4 | 30 | 15 | 1 | 0 | 76 | 1.267 | 0 | |
| 5 | 30 | 13 | 2 | 1 | 86 | 1.433 | 0 | |
| 6 | 30 | 13 | 1 | 1 | 76 | 1.267 | 0 | |
| 7 | 30 | 13 | 3 | 1 | 82 | 1.367 | 0 | |
| 8 | 25 | 11 | 2 | 0 | 73 | 1.460 | 0 | |
| 9 | 30 | 12 | 2 | 0 | 74 | 1.233 | 0 | |
| 10 | 25 | 9 | 2 | 0 | 59 | 1.180 | 0 | |
| 11 | 25 | 5 | 1 | 1 | 43 | .860 | 0 | |
| 12 | 25 | 4 | 4 | 0 | 60 | 1.200 | 0 |
Pts points, on the league’s own system. The table follows the league’s own order. W/L/OTL wins, regulation losses, overtime and shootout losses · GP played · P% points share · +/− difference.
Brown Bears host Cornell Big Red in the NCAA on Friday, November 13, 2026. Who wins after 60 minutes, by how many goals, and how many goals in total — our 1X2, handicap and over/under picks come from one model, and every pick is marked won or lost for everyone to see. The model uses projected goals and shots, the starting goalies, recent form, the standings and the bookmakers’ current odds.