Long Island Sharks vs Robert Morris prediction
Chance to win · 43% and 36% in regulation
All predictions
9 picks graded · Average confidence 62%Full game
- 1X2LostLong Island2.17Confidence 51%
- Over/UnderLostO4.5odds down 1.39Confidence 71%
- Best tip of the game: HandicapWonRobert Morris +1.5odds up 1.34Confidence 67%
- Winner (incl. OT)LostLong Island1.73Confidence 55%
- Double chanceLostLong Island or draw1.42Confidence 66%
- Draw no betLostLong Islandodds down 1.74Confidence 57%
- Both teams to score (GG/NG)LostYes1.08Confidence 88%
1st period
- 1st period 1X2LostLong Island2.65Confidence 51%
- 1st period Over/UnderLostO1.51.83Confidence 54%
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 scoreLost3–2After 60 min0–34%chance
- 1st period correct scoreLost2–01st period0–17%chance
- Highest scoring periodWon3rd periodMost goals3rd · 2 goals30%chance
Score breakdown
- After 60 minutes 3-2
- By period 2-0, 0-0, 1-2
- Likeliest 3-2 (4%), 4-3 (2%), 5-4 (1%)
Season so far
This seasonHead-to-head
- Nov 6, 2026: Long Island Sharks 2, Robert Morris 5.
- Nov 8, 2025: Robert Morris 0, Long Island Sharks 2.
- Nov 7, 2025: Robert Morris 3, Long Island Sharks 6.
Last five games
- Loss, 2–5 against Robert Morris, Nov 6. Odds: Long Island 2.10, Robert Morris 2.55.
- Loss, 4–7 at Western Michigan Broncos, Oct 30. Odds: W. Michigan 1.14, Long Island 11.00.
- Loss, 2–10 at Western Michigan Broncos, Oct 29. Odds: W. Michigan 1.22, Long Island 9.00.
- Win, 7–6 at St. Lawrence Saints, Oct 20.
- Loss, 2–3 at Rensselaer Engineers, Oct 17.
- Win, 5–2 at Long Island Sharks, Nov 6. Odds: Long Island 2.10, Robert Morris 2.55.
- Win, 3–2 against Air Force Falcons, Oct 31. Odds: Robert Morris 2.55, Air Force 2.18.
- Loss, 2–3 against Air Force Falcons, Oct 30. Odds: Robert Morris 2.55, Air Force 2.20.
- Loss, 1–5 at Bentley Falcons, Oct 24. Odds: Bentley 1.53, Robert Morris 4.55.
- Loss, 0–5 at Bentley Falcons, Oct 23. Odds: Bentley 1.53, Robert Morris 4.50.
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 — Long Island Sharks and Robert Morris played yesterday.
- 3-game losing streak for Long Island Sharks coming into this game.
- 2-1 in the last 3 meetings for Long Island Sharks.
- 6.0 goals per meeting across the last 3 head-to-head games; the total is 5.5.
How the odds moved
| Market | Opening | Now | Move |
|---|---|---|---|
| 1X2: 1 (LIS) | 2.20 | 2.20 | No change |
| 1X2: X (draw) | 3.85 | 3.90 | Drifted |
| 1X2: 2 (ROB) | 2.45 | 2.55 | Drifted |
| Over/Under line | 5.5 | 5.5 | No change |
| Handicap LIS | −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 · 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.
Long Island Sharks host Robert Morris 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.