New York Islanders
Metropolitan Division, Eastern Conference
Current Standings
| GP | W | L | OTL | PTS | GF | GA | DIFF | PTS % | Last 10 |
|---|---|---|---|---|---|---|---|---|---|
| 78 | 42 | 31 | 5 | 89 | 226 | 229 | -3 | 57.1% |
|
Playoff Probabilities
Based on 100,000 simulations run on Apr 07, 2026
Likely First-Round Opponents
| Opponent | Probability | Likelihood |
|---|---|---|
Pittsburgh Penguins
|
18.1% | |
Carolina Hurricanes
|
2.6% | |
Tampa Bay Lightning
|
2.0% |
Probabilities sum to 22.9% (= playoff probability). Remaining 77.1% = miss playoffs.
Analysis
Summary
The New York Islanders are clinging to playoff life with a 24.7% chance of qualifying, a notable 10.2% jump that keeps them firmly in the race. At 89 points with four games left, they’re projected to fall just short of the expected 94.7-point cutoff, meaning they likely need to outperform projections to grab a wild-card spot.
Record and Recent Performance
At 42-31-5 through 78 games, the Islanders’ 57.1% points percentage reflects a team that has hovered just above average, backed up by a modest -3 goal differential (226 goals for, 229 against). Their overall strength rating of 47.8% suggests they’ve been slightly below league average territorially, particularly on the road, though their 49.8% home strength offers some encouragement with four games left at UBS Arena. The biggest concern is recent form, sitting at just 30.0%, indicating inconsistent results at the worst possible time of year.
The Competition
The Islanders sit seventh in the conference race, five points back of Pittsburgh and Boston at 94 points and one point behind the current cutline held by Ottawa at 88 points but with Ottawa holding two games in hand. Montreal is long gone at 100 points, while Pittsburgh (99.3%) and Boston (97.5%) are close to locking in spots. The real battle is with Ottawa, Detroit, Philadelphia, and Columbus, all clustered between 88 and 94 projected points; notably, Ottawa (51.0%) and Philadelphia (46.9%) have stronger playoff odds and more games remaining, giving them more control over their fate. For the Islanders to climb in, they’ll likely need to leapfrog at least two of Ottawa, Detroit, Philadelphia, or Columbus, which is possible but leaves little margin for error.
Remaining Schedule
The Islanders’ final four games all come at home, a scheduling quirk that could help, but the opposition strength is a daunting 58.1%, well above the league average of 52.9%, making this a difficult closing stretch. The model projects 4.3 points from those four games, which would land them at 93.3 points—below the projected 94.7-point cutoff. Practically speaking, they likely need at least five or six points, meaning three wins or some combination that pushes them to 95 or 96, while also hoping their direct competitors stumble in their remaining five or six games.
Outlook
The Islanders’ path is narrow but real: dominate their four home games and get help from teams like Ottawa and Philadelphia dropping points. Anything less than three wins probably ends their hopes, and even that may not be enough without outside assistance. With just a 0.6% Stanley Cup probability and no path to a division title, the focus is simple—treat these last four games like playoff contests and see if 95 points can steal a berth.
Bandwagon Options
Your team's playoff hopes are fading — here are some teams worth cheering for:
Dallas Stars
Central · Western| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 45 | 20 | 12 | 102 | +47 | 57.8% | 100.0% | 5.8% |
If you appreciate structured, low-drama hockey, Dallas is an easy pivot. The Stars roll four lines, defend hard, and get strong goaltending — a formula that should feel familiar to Isles fans. Add in elite talent like Jason Robertson and Miro Heiskanen, and you get disciplined hockey with real Cup upside.
Minnesota Wild
Central · Western| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 44 | 21 | 12 | 100 | +33 | 59.9% | 100.0% | 7.1% |
Minnesota plays a heavy, responsible game that mirrors a lot of what Islanders fans value. They’re deep down the middle, committed defensively, and tough to play against in a playoff series. It’s not always flashy, but it’s honest, hard hockey with enough skill to make noise.
Colorado Avalanche
Central · Western| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 50 | 16 | 10 | 110 | +91 | 68.8% | 100.0% | 12.4% |
If you’d rather jump on a powerhouse, Colorado is pure adrenaline. Nathan MacKinnon and Cale Makar can take over games, and their speed turns every shift into a threat. It’s a different vibe from the Islanders’ grind, but as a bandwagon, it’s hard to beat this level of firepower.
Edmonton Oilers
Pacific · Western| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 39 | 29 | 9 | 87 | +8 | 56.7% | 98.4% | 5.5% |
Connor McDavid in the playoffs is appointment viewing, full stop. The Oilers bring high-end skill and power-play theatrics that offer a fun contrast to the Islanders’ tighter style. If you want to spend the postseason watching superstars try to will a team to a run, this is your ticket.
Buffalo Sabres
Atlantic · Eastern| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 46 | 23 | 8 | 100 | +35 | 60.0% | 100.0% | 5.6% |
Staying in New York without backing a rival? Buffalo fits. The Sabres have built an exciting, up-tempo core and are trying to turn regular-season promise into playoff legitimacy — something Isles fans can relate to. There’s a fun, long-suffering fanbase energy there that makes a run feel meaningful.
Required Win Percentage for Playoffs
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.
Playoff Probability Breakdown
Understanding the factors that drive the 22.9% playoff probability
📊 Schedule Context
🎯 Key Factors
🏒 Playoff Picture
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.
Points Distribution vs. Cutline
Projected to finish with 92–95 points (middle 50%). The playoff cutline is typically 95–96 points. Finishes above the cutline in 28.0% of simulations.
Team Projection
Playoff Cutline
Playoff Race — Eastern Conference
| # | Team | PTS | GP | Left | STR | L10 | SOS | Proj PTS | Playoff % |
|---|---|---|---|---|---|---|---|---|---|
| 4 | 100 | 77 | 5 | 63.1% | 80.0% | 53.2% | 106.1 | 100.0% | |
| 5 | 96 | 78 | 4 | 58.3% | 60.0% | 53.5% | 100.6 | 100.0% | |
| 6 | 95 | 78 | 4 | 58.2% | 65.0% | 58.4% | 99.5 | 98.5% | |
| 7 | 90 | 77 | 5 | 57.5% | 65.0% | 51.9% | 96.0 | 74.0% | |
| 8 | 90 | 77 | 5 | 56.2% | 70.0% | 55.8% | 95.6 | 62.7% | |
| 9 | 89 | 78 | 4 | 47.8% | 30.0% | 57.9% | 93.3 | 22.9% | |
| 10 | 88 | 77 | 5 | 49.2% | 40.0% | 54.1% | 93.5 | 12.8% | |
| 11 | 88 | 77 | 5 | 49.5% | 35.0% | 57.2% | 93.4 | 24.1% | |
| 12 | 87 | 78 | 4 | 55.6% | 65.0% | 53.3% | 91.3 | 4.9% | |
Yesterday's Impact
| Result | Impact | |
|---|---|---|
| NYR 8 - WSH 1 |
+4.0%
|
|
| PHI 2 - BOS 1 (OT) |
-3.2%
|
|
| OTT 6 - CAR 3 |
-1.7%
|
|
| DET 4 - MIN 5 |
+1.2%
|
|
| Net: | +0.3% | |
Team Strength Metrics
| Overall Strength | Home Strength | Away Strength | Pythagorean Win % | Recent Form |
|---|---|---|---|---|
| 47.8% | 49.8% | 46.9% | 49.3% | 30.0% |
Player Statistics
| # | Player | Pos | GP | G | A | PTS | +/- | SOG | HIT | BLK | TOI | Performance |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 13 | Mathew Barzal | C | 76 | 19 | 50 | 69 | +14 | 0 | 29 | 47 | 20:36 | |
| 48 | Matthew Schaefer | D | 77 | 22 | 36 | 58 | +16 | 0 | 40 | 105 | 24:37 | |
| 14 | Bo Horvat | C | 64 | 30 | 25 | 55 | +9 | 0 | 51 | 38 | 20:45 | |
| 27 | Anders Lee | L | 77 | 19 | 23 | 42 | +5 | 0 | 84 | 35 | 15:37 | |
| 92 | Simon Holmstrom | R | 74 | 19 | 22 | 41 | +9 | 0 | 14 | 43 | 16:41 | |
| 44 | Jean-Gabriel Pageau | C | 69 | 16 | 18 | 34 | +4 | 0 | 107 | 51 | 15:39 | |
| 77 | Tony DeAngelo | D | 71 | 5 | 27 | 32 | -2 | 0 | 30 | 67 | 19:02 | |
| 51 | Emil Heineman | L | 77 | 21 | 9 | 30 | -9 | 0 | 242 | 52 | 16:41 | |
| 64 | Calum Ritchie | C | 60 | 12 | 15 | 27 | -13 | 0 | 15 | 32 | 13:09 | |
| 11 | Anthony Duclair | L | 60 | 11 | 15 | 26 | +3 | 0 | 9 | 40 | 13:09 | |
| 6 | Ryan Pulock | D | 72 | 3 | 23 | 26 | +9 | 0 | 48 | 139 | 20:58 | |
| 92 | Jonathan Drouin → STL | L | 54 | 3 | 18 | 21 | -3 | 0 | 13 | 25 | 17:09 | |
| 21 | Kyle Palmieri | C | 25 | 6 | 12 | 18 | -2 | 0 | 19 | 9 | 18:52 | |
| 53 | Casey Cizikas | C | 76 | 9 | 8 | 17 | -4 | 0 | 149 | 56 | 11:44 | |
| 49 | Max Shabanov | R | 42 | 5 | 12 | 17 | -5 | 0 | 26 | 14 | 13:42 | |
| 3 | Adam Pelech | D | 77 | 4 | 11 | 15 | +4 | 0 | 64 | 122 | 20:59 | |
| 24 | Scott Mayfield | D | 75 | 2 | 11 | 13 | -8 | 0 | 71 | 79 | 16:37 | |
| 10 | Brayden Schenn ← STL | C | 15 | 5 | 5 | 10 | -6 | 0 | 30 | 13 | 16:29 | |
| 16 | Marc Gatcomb | C | 46 | 3 | 4 | 7 | -3 | 0 | 183 | 24 | 10:08 | |
| 32 | Kyle MacLean | C | 56 | 2 | 5 | 7 | -6 | 0 | 117 | 20 | 10:35 | |
| 4 | Carson Soucy | D | 26 | 2 | 2 | 4 | -8 | 0 | 28 | 22 | 15:38 | |
| 81 | Ondrej Palat | L | 26 | 1 | 3 | 4 | -8 | 0 | 35 | 25 | 13:10 | |
| 34 | Adam Boqvist | D | 27 | 0 | 4 | 4 | -8 | 0 | 11 | 23 | 13:11 | |
| 42 | Maxim Tsyplakov | R | 26 | 1 | 1 | 2 | -9 | 0 | 45 | 4 | 9:39 | |
| 36 | Isaiah George | D | 3 | 0 | 1 | 1 | +1 | 0 | 1 | 2 | 12:18 | |
| 28 | Alexander Romanov | D | 15 | 0 | 1 | 1 | -7 | 0 | 31 | 31 | 19:26 | |
| 4 | Cole McWard | D | 3 | 0 | 0 | 0 | +1 | 0 | 4 | 5 | 13:44 |
Recent Games (Last 10)
| Date | Opponent | Score | Result |
|---|---|---|---|
| Apr 04 | @ CAR | 4 - 3 | L |
| Apr 03 | vs PHI | 1 - 4 | L |
| Mar 31 | @ BUF | 4 - 3 | L |
| Mar 30 | vs PIT | 3 - 8 | L |
| Mar 28 | vs FLA | 5 - 2 | W |
| Mar 26 | vs DAL | 2 - 1 | W |
| Mar 24 | vs CHI | 3 - 4 | L |
| Mar 22 | vs CBJ | 1 - 0 | W |
| Mar 21 | @ MTL | 7 - 3 | L |
| Mar 19 | @ OTT | 3 - 2 | L |
Upcoming Games
| Date | Opponent | Location | Opp Strength | Exp Pts | Playoff Swing | Predicted Winner |
|---|---|---|---|---|---|---|
| Apr 09, 18:45 | vs Toronto Maple Leafs | Home | 47.0% | 1.21 | 22.1% | NYI (55%) |
| Apr 11, 13:00 | vs Ottawa Senators | Home | 57.5% | 1.08 | - | OTT (53%) |
| Apr 12, 18:00 | vs Montréal Canadiens | Home | 63.1% | 0.99 | - | MTL (57%) |
| Apr 14, 19:00 | vs Carolina Hurricanes | Home | 63.9% | 1.05 | - | CAR (54%) |
| Averages (Next 4 games): | 4.3 pts | 8.5% | ||||
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.