Metropolitan Division, Eastern Conference
| GP | W | L | OTL | PTS | GF | GA | DIFF | PTS % | Last 10 |
|---|---|---|---|---|---|---|---|---|---|
| 2 | 1 | 1 | 0 | 2 | 7 | 2 | +5 | 50.0% |
|
Based on 100,000 simulations run on Oct 04, 2026
| Opponent | Probability | Likelihood |
|---|---|---|
|
|
17.2% | |
|
|
15.2% | |
|
|
13.0% | |
|
|
12.2% | |
|
|
7.8% | |
|
|
4.6% | |
|
|
3.5% | |
|
|
3.4% | |
|
|
3.2% | |
|
|
3.2% | |
|
|
3.2% | |
|
|
2.1% | |
|
|
1.5% | |
|
|
1.3% |
Probabilities sum to 91.8% (= playoff probability). Remaining 8.2% = miss playoffs.
The New York Islanders are clinging to faint playoff hopes with a 3.3% chance of qualifying, despite a recent jump of nearly 10 percentage points. At 91 points with two games remaining, they likely need to win out and get help to have any shot at the final Eastern Conference wild-card spot.
At 43-32-5 (91 points in 80 games), the Islanders own a 56.9% points percentage and a minus-4 goal differential (231 goals for, 235 against), which reflects a team that has hovered around break-even most of the year. Their overall strength rating sits at 49.6%, slightly below league average, with a modest edge at home (51.5%) compared to the road (48.8%). Recent form has dipped to 40.0%, suggesting inconsistency down the stretch, though their playoff probability bump indicates they’ve at least kept themselves mathematically alive while others have stumbled.
The Islanders sit 12th in the conference at 91 points, three back of Philadelphia (94 points), which currently holds the second wild card and is projected to finish around 96.1 points. Columbus has 92 points and Washington and Detroit are level with New York at 91, creating a four-team cluster chasing the Flyers. The problem is that Philadelphia still projects to reach 96 points, meaning the Islanders likely need 95 points to have a realistic chance — and even that might not be enough without regulation losses from the Flyers. Montreal, Pittsburgh, Ottawa, and Boston are already safely in, so this is strictly a scramble for the final berth.
The Islanders have two games left, both at home, but the degree of difficulty is high: their remaining opponents carry a combined 63.9% strength rating, well above the 52.7% league average. The model projects just 2.1 more points for New York, putting them at 93.1 — short of the projected 96.1-point cutoff. Even if they outperform projections and earn four points to reach 95, they would still need Philadelphia to falter in its final two games and likely need to outpace Columbus and Washington as well.
The path is narrow and requires near-perfection plus help, which explains the 3.3% playoff odds. The Islanders must win both remaining games in regulation and hope the Flyers leave the door open; anything less almost certainly ends their season. While not mathematically eliminated, they are firmly in long-shot territory heading into the final stretch.
Your team's playoff hopes are fading — here are some teams worth cheering for:
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 2 | 0 | 0 | 4 | +9 | 82.3% | 71.1% | 2.0% |
If you want to jump on a true powerhouse, Colorado is the easy sell. Nathan MacKinnon and Cale Makar drive one of the fastest, most explosive teams in the league, and they can overwhelm opponents in waves. It’s stress-free, high-skill hockey with legit Cup expectations.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 0 | 2 | 0 | 0 | -5 | 12.4% | 93.0% | 12.8% |
Dallas offers a more structured, balanced vibe that Islanders fans can appreciate. They defend well, roll multiple lines, and get strong goaltending — but still have elite difference-makers like Jason Robertson and Miro Heiskanen. It’s a deep, well-built team that feels built for a long run.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 2 | 0 | 1 | 5 | +3 | 70.8% | 41.3% | 0.4% |
If you’d rather just enjoy superstar brilliance, Edmonton is the ticket. Watching Connor McDavid and Leon Draisaitl in a playoff series is pure spectacle, and every game feels like it could turn on a moment of magic. It’s a fun change of pace from the grind-it-out style you’re used to.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 1 | 0 | 0 | 2 | +1 | 71.0% | 10.9% | 0.0% |
Anaheim is a sneaky underdog pick with nothing to lose. They’ve battled their way into the mix despite a negative goal differential, and that scrappy, chip-on-the-shoulder energy can be easy to rally behind. If you enjoy rooting for a team trying to shock everyone, this is your bandwagon.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 1 | 1 | 0 | 2 | -2 | 43.8% | 60.1% | 1.8% |
Buffalo gives you a nearby, non-rival Eastern Conference team with a great story. They’ve built a fast, confident group that can score in bunches, and there’s something fun about backing a long-suffering fan base chasing a breakthrough. Close enough to feel familiar, far enough to avoid rivalry baggage.
Win percentage needed in remaining games to achieve each playoff probability threshold. A checkmark (✓) means the team has mathematically clinched a playoff spot. A dash (—) means the threshold is impossible to reach.
Understanding the factors that drive the 91.8% playoff probability
Playoff probabilities are calculated through Monte Carlo simulation, running 10,000+ scenarios of the remaining season. Each game is simulated based on team strength ratings, home ice advantage (~55% win rate), and opponent matchups.
Projected to finish with 101–112 points (middle 50%). The playoff cutline is typically 94–97 points. Finishes above the cutline in 92.6% of simulations.
| # | Team | PTS | GP | Left | STR | L10 | SOS | Proj PTS | Playoff % |
|---|---|---|---|---|---|---|---|---|---|
| 4 | 3 | 2 | 80 | 59.5% | 60.0% | 51.3% | 93.4 | 44.9% | |
| 5 | 3 | 3 | 79 | 44.0% | 75.0% | 52.9% | 100.5 | 75.8% | |
| 6 | 3 | 2 | 80 | 62.5% | 75.0% | 51.2% | 88.5 | 22.9% | |
| 7 | 2 | 3 | 79 | 38.2% | 35.0% | 52.1% | 93.9 | 47.2% | |
| 8 | 2 | 2 | 80 | 43.8% | 50.0% | 52.8% | 96.5 | 60.1% | |
| 9 | 2 | 2 | 80 | 41.4% | 55.0% | 52.1% | 94.2 | 48.8% | |
| 10 | 2 | 1 | 81 | 70.6% | 30.0% | 51.2% | 85.5 | 13.9% | |
| 11 | 2 | 2 | 80 | 67.2% | 30.0% | 52.1% | 106.1 | 91.8% | |
| 12 | 2 | 2 | 80 | 50.0% | 50.0% | 52.1% | 96.4 | 58.8% | |
| Result | Impact | |
|---|---|---|
| NYI 6 - NJD 0 | NYI played |
+0.8%
|
| Net: | +0.8% | |
| Overall Strength | Home Strength | Away Strength | Pythagorean Win % | Recent Form |
|---|---|---|---|---|
| 67.2% | 73.3% | 73.2% | 92.5% | 30.0% |
| # | Player | Pos | GP | G | A | PTS | +/- | SOG | HIT | BLK | TOI | Performance |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 48 | Matthew Schaefer | D | 83 | 23 | 38 | 61 | +16 | 0 | 40 | 111 | 24:39 | |
| 14 | Bo Horvat | C | 70 | 32 | 27 | 59 | +9 | 0 | 55 | 40 | 20:45 | |
| 92 | Simon Holmstrom | R | 80 | 20 | 23 | 43 | +6 | 0 | 17 | 46 | 16:44 | |
| 44 | Jean-Gabriel Pageau | C | 75 | 17 | 19 | 36 | +2 | 0 | 118 | 52 | 15:38 | |
| 77 | Tony DeAngelo | D | 77 | 5 | 29 | 34 | -4 | 0 | 33 | 72 | 19:04 | |
| 51 | Emil Heineman | L | 83 | 23 | 9 | 32 | -11 | 0 | 251 | 54 | 16:31 | |
| 64 | Calum Ritchie | C | 66 | 13 | 17 | 30 | -12 | 0 | 19 | 35 | 13:27 | |
| 6 | Ryan Pulock | D | 77 | 3 | 24 | 27 | +9 | 0 | 50 | 148 | 20:47 | |
| 11 | Anthony Duclair | L | 63 | 11 | 15 | 26 | +4 | 0 | 10 | 43 | 13:06 | |
| 53 | Casey Cizikas | C | 82 | 11 | 9 | 20 | -1 | 0 | 157 | 57 | 11:46 | |
| 21 | Kyle Palmieri | C | 27 | 6 | 12 | 18 | -2 | 0 | 20 | 11 | 18:42 | |
| 3 | Adam Pelech | D | 83 | 4 | 13 | 17 | +8 | 0 | 69 | 126 | 20:51 | |
| 10 | Brayden Schenn | C | 21 | 7 | 6 | 13 | -3 | 0 | 49 | 13 | 16:49 | |
| 81 | Ondrej Palat | L | 31 | 2 | 4 | 6 | -7 | 0 | 47 | 27 | 12:50 | |
| 38 | Victor Eklund | R | 3 | 1 | 2 | 3 | +1 | 0 | 4 | 0 | 13:20 | |
| 8 | Logan Stanley | D | 2 | 0 | 2 | 2 | +2 | 0 | 7 | 3 | 17:08 | |
| 28 | Alexander Romanov | D | 17 | 0 | 1 | 1 | -4 | 0 | 35 | 36 | 19:17 | |
| 4 | Matthew Kessel ← STL | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 63 | Matias Maccelli ← TOR | L | 2 | 0 | 0 | 0 | +1 | 0 | 1 | 0 | 15:53 | |
| 24 | Scott Mayfield | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 13 | Mathew Barzal | C | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 43 | Liam Foudy | C | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 32 | Kyle MacLean | C | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 36 | Isaiah George | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 34 | Adam Boqvist | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 7 | Carson Soucy | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 49 | Maxim Shabanov | R | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 17 | Marc Gatcomb | C | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 0 | Cole McWard | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 72 | Anders Lee | L | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 92 | Jonathan Drouin | L | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 72 | Maxim Tsyplakov | R | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Date | Opponent | Location | Score | Result | Opp Strength | Playoff Impact |
|---|---|---|---|---|---|---|
| Oct 03 | New Jersey Devils | Home | 6 - 0 | W | 34.2% | +0.8% |
| Sep 30 | Toronto Maple Leafs | Away | 2 - 1 | L | 38.2% | -2.3% |
| Sep 26 | New Jersey Devils | Home | 1 - 4 | L | 34.2% | - |
| Sep 25 | New York Rangers | Home | 1 - 6 | L | 67.7% | - |
| Sep 22 | New York Rangers | Away | 3 - 4 | W | 67.7% | - |
| Sep 20 | New Jersey Devils | Away | 2 - 1 | L | 34.2% | - |
| Apr 14 | Carolina Hurricanes | Home | 1 - 2 | L | 44.0% | 0.0% |
| Apr 12 | Montréal Canadiens | Home | 1 - 4 | L | 59.5% | -1.4% |
| Apr 11 | Ottawa Senators | Home | 0 - 3 | L | 70.6% | -15.9% |
| Apr 09 | Toronto Maple Leafs | Home | 5 - 3 | W | 38.2% | +6.8% |
| Date | Opponent | Location | Opp Strength | Exp Pts | Playoff Swing | Predicted Winner |
|---|---|---|---|---|---|---|
| Oct 06, 19:30 | @ New York Rangers | Away | 67.7% | 1.34 | 3.2% | NYI (62%) |
| Oct 08, 19:30 | vs Chicago Blackhawks | Home | 12.0% | 1.09 | 2.6% | CHI (52%) |
| Oct 10, 19:30 | vs Tampa Bay Lightning | Home | 41.4% | 1.27 | 3.5% | NYI (58%) |
| Oct 13, 19:45 | vs Vancouver Canucks | Home | 58.1% | 1.41 | - | NYI (66%) |
| Oct 15, 19:00 | @ Ottawa Senators | Away | 70.6% | 1.36 | - | NYI (63%) |
| Oct 17, 19:00 | @ Toronto Maple Leafs | Away | 38.2% | 1.22 | - | NYI (56%) |
| Oct 20, 19:00 | vs Anaheim Ducks | Home | 71.0% | 1.44 | - | NYI (68%) |
| Oct 22, 19:30 | vs Los Angeles Kings | Home | 27.2% | 1.19 | - | NYI (54%) |
| Oct 25, 18:00 | @ Dallas Stars | Away | 12.4% | 1.09 | - | DAL (52%) |
| Oct 27, 20:00 | @ Nashville Predators | Away | 39.0% | 1.35 | - | NYI (63%) |
| Averages (Next 10 games): | 12.8 pts | 3.1% | ||||
Expected points are calculated based on win probabilities: (2 × win%) + (0.25 × loss%) for overtime losses. Opponent strength ratings help identify which games are easier or harder opportunities to earn points.