Western Michigan Broncos vs Long Island Sharks prediction
Chance to win · 84% and 6% in regulation
All predictions
9 picks graded · Average confidence 77%Full game
- 1X2WonW. Michigan1.19Confidence 83%
- Over/UnderWonO4.5odds up 1.33Confidence 77%
- Best tip of the game: HandicapWonW. Michigan -1.51.32Confidence 72%
- Winner (incl. OT)WonW. Michigan1.10Confidence 87%
- Double chanceWonW. Michigan or draw1.05Confidence 89%
- Draw no betWonW. Michigan1.06Confidence 89%
- Both teams to score (GG/NG)WonYesodds up 1.19Confidence 82%
1st period
- 1st period 1X2WonW. Michiganodds up 1.67Confidence 60%
- 1st period Over/UnderWonO1.5odds up 1.75Confidence 57%
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: 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 scoreLost4–1After 60 min10–28%chance
- 1st period correct scoreLost2–01st period3–015%chance
- Highest scoring periodLost3rd periodMost goals2nd · 6 goals31%chance
Score breakdown
- After 60 minutes 4-1
- By period 2-0, 0-0, 2-1
- Likeliest 4-1 (8%), 5-2 (6%), 5-1 (5%)
Season so far
This seasonHead-to-head
- Oct 30, 2026: Western Michigan Broncos 7, Long Island Sharks 4.
Last five games
- Loss, 2–3 at Michigan Wolverines, Oct 23. Odds: Michigan 1.80, W. Michigan 3.35.
- Win, 4–0 at Notre Dame Fighting Irish, Oct 17. Odds: Notre Dame 4.45, W. Michigan 1.42.
- Win, 6–1 against Notre Dame Fighting Irish, Oct 16. Odds: W. Michigan 1.40, Notre Dame 4.60.
- Win, 5–1 at Ferris State Bulldogs, Oct 9. Odds: Ferris State 11.00, W. Michigan 1.17.
- Win, 6–0 against Ferris State Bulldogs, Oct 8.
- Win, 7–6 at St. Lawrence Saints, Oct 20.
- Loss, 2–3 at Rensselaer Engineers, Oct 17.
- Loss, 1–2 at Rensselaer Engineers, Oct 16.
- Win, 3–2 against Canisius Golden Griffins, Oct 10.
- Loss, 2–3 against Canisius Golden Griffins, Oct 9. Odds: Long Island 1.93, Canisius 3.10.
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
- 1-4-0 away for Long Island Sharks this season.
- 4-1-0 in the last five for Western Michigan Broncos.
How the odds moved
| Market | Opening | Now | Move |
|---|---|---|---|
| 1X2: 1 (WMB) | 1.22 | 1.22 | No change |
| 1X2: X (draw) | 6.00 | 6.00 | No change |
| 1X2: 2 (LIS) | 9.00 | 9.00 | No change |
| Over/Under line | 5.5 | 5.5 | No change |
| Handicap WMB | −2.5 | −2.5 | 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 · NCHC
| # | Team | GP | W | L | OTL | Pts | P% | +/− |
|---|---|---|---|---|---|---|---|---|
| 1 | 30 | 23 | 1 | 0 | 112 | 1.867 | 0 | |
| 2 | 28 | 18 | 1 | 1 | 96 | 1.714 | 0 | |
| 3 | 29 | 18 | 1 | 0 | 121 | 2.086 | 0 | |
| 4 | 28 | 15 | 3 | 0 | 86 | 1.536 | 0 | |
| 5 | 29 | 12 | 1 | 0 | 104 | 1.793 | 0 | |
| 6 | 29 | 13 | 3 | 0 | 72 | 1.241 | 0 | |
| 7 | 28 | 10 | 2 | 0 | 68 | 1.214 | 0 | |
| 8 | 0 | 0 | 0 | 0 | 0 | .000 | 0 |
NCAA · Independents
| # | Team | GP | W | L | OTL | Pts | P% | +/− |
|---|---|---|---|---|---|---|---|---|
| 1 | 13 | 8 | 0 | 1 | 54 | 2.077 | 0 | |
| 2 | 28 | 16 | 2 | 0 | 75 | 1.339 | 0 | |
| 3 | 31 | 13 | 3 | 0 | 82 | 1.323 | 0 | |
| 4 | 26 | 9 | 4 | 0 | 81 | 1.558 | 0 | |
| 5 | 24 | 7 | 1 | 0 | 80 | 1.667 | 0 | |
| 6 | 20 | 4 | 3 | 0 | 37 | .925 | 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.
Western Michigan Broncos host Long Island Sharks in the NCAA on Thursday, October 29, 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.