Pacific Division, Western Conference
| GP | W | L | OTL | PTS | GF | GA | DIFF | PTS % | Last 10 |
|---|---|---|---|---|---|---|---|---|---|
| 75 | 32 | 32 | 11 | 75 | 210 | 237 | -27 | 50.0% |
|
Based on 100,000 simulations run on Apr 07, 2026
The Seattle Kraken are on the brink, sitting at just a 5.7% playoff probability after a steep 7.4% drop. At 75 points through 74 games, they likely need close to 13 points in their final eight games to have a realistic shot at the Western Conference’s final wild-card spot. Anything short of a near-perfect finish probably leaves them short of the projected 87.9-point cutoff.
Seattle’s 32-31-11 record translates to a 50.7% points percentage, essentially break-even hockey over a large sample. Their -25 goal differential (208 scored, 233 allowed) reflects a team that has struggled defensively and at five-on-five, which aligns with their 45.4% overall strength rating. They’ve been better at home (48.3%) than on the road (43.6%), but not enough to tilt the math in their favor, and their recent form rating of 40.0% suggests they’re trending in the wrong direction at the worst possible time.
The climb is steep because of traffic ahead. Nashville currently holds the final playoff spot at 79 points with a 31.5% playoff probability, while San Jose (79 points, 45.4%) and Los Angeles (79 points, 24.2%) are also directly in front. Seattle must leapfrog at least three of those teams and likely catch Nashville or San Jose, both projected around 87–88 points. With Edmonton, Anaheim, Utah, and Vegas already in the mid-80s and projected into the 90s, those spots are effectively gone, leaving Seattle chasing a crowded wild-card pack where they are currently 13th in the conference standings.
The Kraken have eight games left, evenly split between home and road, with an opponent strength of 51.1%, slightly easier than the league average of 52.9%. The schedule is considered balanced and average in difficulty, and models project 8.8 more points, which would land them at 83.8—well short of the 87.9 projected cutoff. To bridge that gap, Seattle likely needs at least a 6-1-1 or 7-1-0 finish, significantly outperforming their season-long pace and recent form.
At 5.7%, the Kraken are in long-shot territory. The math demands a surge that this team hasn’t shown consistently all year, combined with help from multiple teams above them stumbling. It’s not impossible, but Seattle’s playoff hopes now depend on a dramatic late push and favorable scoreboard watching across the Western Conference.
Your team's playoff hopes are fading — here are some teams worth cheering for:
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 49 | 22 | 6 | 104 | +47 | 63.9% | 100.0% | 9.3% |
If you want to jump on a true contender, Carolina is easy to love. They roll four lines, pressure relentlessly, and feel like a deeper, more finished version of what Seattle has tried to build. Watching Sebastian Aho and Andrei Svechnikov drive play every night makes for stress-free, high-quality playoff hockey.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 48 | 22 | 6 | 102 | +66 | 67.8% | 100.0% | 10.8% |
Tampa Bay brings star power and big-game pedigree, headlined by Nikita Kucherov and Brayden Point. If you’re craving elite skill and a power play that can flip a series in minutes, this is your wagon. They’re battle-tested and rarely make playoff hockey boring.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 46 | 23 | 8 | 100 | +35 | 60.0% | 100.0% | 5.6% |
Buffalo is the fun, high-octane pick with a fan base that’s been starving for this moment. The Sabres can score in waves, and their young core plays with the kind of energy Kraken fans can appreciate. It’s a good mix of legit contender and feel-good story.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 50 | 16 | 10 | 110 | +91 | 68.8% | 100.0% | 12.3% |
If you’d rather stick in the West without backing a Pacific rival, Colorado is the heavyweight option. Nathan MacKinnon and Cale Makar are must-watch every shift, and the Avs’ speed-and-skill identity isn’t far off from Seattle’s ideal blueprint. They’re the kind of team that can steamroll a round when they’re on.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 40 | 27 | 10 | 90 | +20 | 57.5% | 74.1% | 3.7% |
Ottawa is a sneaky, scrappy bandwagon choice if you want a little underdog flavor. They’ve taken a big step forward and play an aggressive, emotionally charged style that fits playoff chaos. It’s a lower-pressure ride with real upset potential.
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 0.1% 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 80–83 points (middle 50%). The playoff cutline is typically 88–90 points. Finishes above the cutline in 0.2% of simulations.
| # | Team | PTS | GP | Left | STR | L10 | SOS | Proj PTS | Playoff % |
|---|---|---|---|---|---|---|---|---|---|
| 4 | 87 | 77 | 5 | 56.7% | 70.0% | 50.5% | 92.8 | 98.4% | |
| 5 | 87 | 77 | 5 | 50.6% | 50.0% | 48.3% | 92.8 | 96.7% | |
| 6 | 86 | 76 | 6 | 57.2% | 60.0% | 53.6% | 93.1 | 98.3% | |
| 7 | 86 | 77 | 5 | 52.5% | 50.0% | 47.1% | 92.0 | 96.2% | |
| 8 | 81 | 76 | 6 | 52.7% | 70.0% | 52.4% | 87.9 | 44.3% | |
| 9 | 81 | 76 | 6 | 50.1% | 60.0% | 43.3% | 88.1 | 36.7% | |
| 10 | 79 | 75 | 7 | 46.2% | 45.0% | 46.1% | 86.7 | 22.6% | |
| 11 | 78 | 76 | 6 | 50.7% | 70.0% | 55.9% | 84.7 | 5.6% | |
| 12 | 78 | 76 | 6 | 50.5% | 60.0% | 52.6% | 83.5 | 1.1% | |
| 13 | 75 | 75 | 7 | 43.0% | 30.0% | 55.2% | 81.3 | 0.1% | |
| 14 | 72 | 76 | 6 | 47.3% | 65.0% | 57.6% | 78.0 | 0.0% | |
| Game | Impact | |
|---|---|---|
| LIVE WPG vs SEA | SEA playing |
WPG win:
-0.6%
SEA win:
+0.8%
|
| Overall Strength | Home Strength | Away Strength | Pythagorean Win % | Recent Form |
|---|---|---|---|---|
| 43.0% | 45.2% | 41.8% | 44.0% | 30.0% |
| # | Player | Pos | GP | G | A | PTS | +/- | SOG | HIT | BLK | TOI | Performance |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 7 | Jordan Eberle | R | 71 | 24 | 28 | 52 | +3 | 0 | 50 | 40 | 18:34 | |
| 10 | Matty Beniers | C | 73 | 18 | 27 | 45 | -6 | 0 | 28 | 62 | 19:24 | |
| 9 | Chandler Stephenson | C | 71 | 15 | 29 | 44 | -23 | 0 | 19 | 50 | 19:29 | |
| 29 | Vince Dunn | D | 72 | 10 | 29 | 39 | -28 | 0 | 21 | 73 | 21:52 | |
| 20 | Eeli Tolvanen | R | 70 | 12 | 24 | 36 | -16 | 0 | 174 | 76 | 16:11 | |
| 19 | Jared McCann | L | 47 | 17 | 18 | 35 | -7 | 0 | 39 | 23 | 16:34 | |
| 84 | Kaapo Kakko | R | 56 | 11 | 22 | 33 | +13 | 0 | 30 | 9 | 14:16 | |
| 62 | Brandon Montour | D | 55 | 8 | 20 | 28 | -18 | 0 | 63 | 68 | 22:42 | |
| 51 | Shane Wright | C | 70 | 11 | 14 | 25 | +4 | 0 | 48 | 55 | 13:52 | |
| 17 | Jaden Schwartz | L | 44 | 11 | 11 | 22 | +6 | 0 | 31 | 40 | 16:10 | |
| 89 | Frederick Gaudreau | C | 59 | 5 | 16 | 21 | -1 | 0 | 29 | 44 | 16:11 | |
| 6 | Adam Larsson | D | 73 | 5 | 16 | 21 | -4 | 0 | 96 | 153 | 21:21 | |
| 26 | Ryan Winterton | C | 61 | 4 | 13 | 17 | 0 | 0 | 56 | 28 | 11:50 | |
| 41 | Ryker Evans | D | 58 | 8 | 7 | 15 | +6 | 0 | 38 | 59 | 17:32 | |
| 27 | Berkly Catton | C | 57 | 6 | 9 | 15 | -6 | 0 | 6 | 27 | 12:56 | |
| 59 | Ben Meyers | C | 47 | 7 | 7 | 14 | -11 | 0 | 58 | 10 | 11:48 | |
| 24 | Jamie Oleksiak | D | 71 | 5 | 8 | 13 | +10 | 0 | 106 | 102 | 16:57 | |
| 17 | Mason Marchment → CBJ | L | 29 | 4 | 9 | 13 | -4 | 0 | 38 | 10 | 16:57 | |
| 74 | Bobby McMann ← TOR → TOR | C | 11 | 8 | 4 | 12 | +1 | 0 | 19 | 3 | 18:10 | |
| 55 | Ryan Lindgren | D | 69 | 2 | 7 | 9 | +5 | 0 | 42 | 105 | 18:21 | |
| 24 | Tye Kartye → NYR | L | 40 | 3 | 5 | 8 | -6 | 0 | 98 | 23 | 10:42 | |
| 63 | Jacob Melanson | R | 34 | 2 | 3 | 5 | -9 | 0 | 175 | 12 | 9:25 | |
| 8 | Cale Fleury | D | 20 | 1 | 2 | 3 | +3 | 0 | 43 | 28 | 16:39 | |
| 28 | Joshua Mahura | D | 21 | 1 | 2 | 3 | +8 | 0 | 22 | 34 | 15:24 | |
| 38 | Jani Nyman | R | 2 | 0 | 0 | 0 | -5 | 0 | 2 | 1 | 7:07 | |
| 78 | Oscar Fisker Molgaard | C | 5 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 9:09 |
| Date | Opponent | Location | Score | Result | Opp Strength | Playoff Impact |
|---|---|---|---|---|---|---|
| Apr 04 | Chicago Blackhawks | Home | 2 - 4 | L | 40.9% | -3.8% |
| Apr 02 | Utah Mammoth | Home | 2 - 6 | L | 57.2% | -6.9% |
| Mar 31 | Edmonton Oilers | Away | 3 - 0 | L | 56.7% | -8.4% |
| Mar 28 | Buffalo Sabres | Away | 3 - 2 (OT) | OTL | 60.0% | -7.3% |
| Mar 26 | Tampa Bay Lightning | Away | 3 - 4 (OT) | W | 67.8% | +7.6% |
| Mar 24 | Florida Panthers | Away | 5 - 4 (OT) | OTL | 44.8% | -5.8% |
| Mar 21 | Columbus Blue Jackets | Away | 5 - 2 | L | 49.5% | -6.8% |
| Mar 19 | Nashville Predators | Away | 3 - 1 | L | 52.7% | -8.9% |
| Mar 17 | Tampa Bay Lightning | Home | 2 - 6 | L | 67.8% | -8.1% |
| Mar 15 | Florida Panthers | Home | 6 - 2 | W | 44.8% | +7.7% |
| Date | Opponent | Location | Opp Strength | Exp Pts | Playoff Swing | Predicted Winner |
|---|---|---|---|---|---|---|
| Apr 07, 20:00 | @ Minnesota Wild | Away | 59.9% | 0.97 | 0.3% | MIN (59%) |
| Apr 09, 22:00 | vs Vegas Golden Knights | Home | 52.5% | 1.07 | 0.2% | VGK (53%) |
| Apr 11, 19:00 | vs Calgary Flames | Home | 47.3% | 1.26 | 0.2% | SEA (58%) |
| Apr 13, 21:30 | vs Los Angeles Kings | Home | 50.1% | 1.02 | - | LAK (56%) |
| Apr 15, 22:00 | @ Vegas Golden Knights | Away | 52.5% | 1.02 | - | VGK (56%) |
| Apr 16, 22:30 | @ Colorado Avalanche | Away | 68.8% | 0.93 | - | COL (61%) |
| Averages (Next 6 games): | 6.3 pts | 0.2% | ||||
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.