Harvard Crimson vs Yale Bulldogs prediction
Chance to win · 55% and 26% in regulation
All predictions
9 picks graded · Average confidence 62%Full game
- 1X2LostHarvardodds down 1.48Confidence 52%
- Best tip of the game: Over/UnderWonO4.51.42Confidence 64%
- HandicapWonYale +2.5odds up 1.49Confidence 62%
- Winner (incl. OT)LostHarvardodds down 1.27Confidence 56%
- Double chanceWonHarvard or drawodds down 1.15Confidence 65%
- Draw no betPushHarvardodds down 1.22Confidence 58%
- Both teams to score (GG/NG)WonYes1.13Confidence 81%
1st period
- 1st period 1X2LostHarvardodds down 2.02Confidence 51%
- 1st period Over/UnderLostU2.5Confidence 67%
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 0 games.
Predicted final score
What the picks are derived from. Not a bet.Score details
- Correct scoreLost4–2After 60 min3–34%chance
- 1st period correct scoreLost1–01st period2–219%chance
- Highest scoring periodLost3rd periodMost goals1st · 4 goals30%chance
Score breakdown
- After 60 minutes 4-2
- By period 1-0, 1-1, 2-1
- Likeliest 4-2 (4%), 3-2 (4%), 4-3 (2%)
Season so far
This seasonHead-to-head
- Feb 14, 2026: Yale Bulldogs 3, Harvard Crimson 2, after overtime.
- Dec 5, 2025: Harvard Crimson 3, Yale Bulldogs 2.
- Feb 28, 2025: Yale Bulldogs 3, Harvard Crimson 4, after overtime.
- Jan 11, 2025: Harvard Crimson 3, Yale Bulldogs 1.
Last five games
- Win, 4–1 against Brown Bears, Nov 6. Odds: Harvard 1.50, Brown 4.75.
- Loss, 2–4 at Massachusetts Minutemen, Oct 30. Odds: UMass 1.88, Harvard 3.15.
- Win, 2–1 against Massachusetts Minutemen, Oct 29. Odds: Harvard 2.08, UMass 2.65.
- Loss, 0–4 at Cornell Big Red, Mar 14.
- Win, 3–1 at Cornell Big Red, Mar 13.
- Loss, 2–3 at Dartmouth Big Green, Nov 6. Odds: Dartmouth 1.30, Yale 6.80.
- Win, 2–1 against Brown Bears, Oct 30. Odds: Yale 2.12, Brown 2.65.
- Loss, 2–3 at Colgate Raiders, Mar 7.
- Loss, 2–4 against Rensselaer Engineers, Feb 28.
- Overtime loss, 4–5 against Union Dutchmen, after overtime, Feb 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
- Second game in two days for both teams — Harvard Crimson and Yale Bulldogs played yesterday.
- 3-1 in the last 4 meetings for Harvard Crimson.
- 1-3-1 in the last five for Yale Bulldogs.
- 5.3 goals per meeting across the last 4 head-to-head games; the total is 5.5.
- 2nd vs 11th in the NCAA standings.
How the odds moved
| Market | Opening | Now | Move |
|---|---|---|---|
| 1X2: 1 (HAR) | 1.45 | 1.47 | Drifted |
| 1X2: X (draw) | 4.50 | 4.60 | Drifted |
| 1X2: 2 (YAL) | 4.75 | 5.00 | Drifted |
| Over/Under line | 5.5 | 5.5 | No change |
| Handicap HAR | −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.
Harvard Crimson host Yale Bulldogs in the NCAA on Saturday, November 7, 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.