Pacific Division, Western Conference
| GP | W | L | OTL | PTS | GF | GA | DIFF | PTS % | Last 10 |
|---|---|---|---|---|---|---|---|---|---|
| 3 | 2 | 1 | 0 | 4 | 13 | 5 | +8 | 66.7% |
|
Based on 100,000 simulations run on Oct 05, 2026
| Opponent | Probability | Likelihood |
|---|---|---|
|
|
13.9% | |
|
|
11.4% | |
|
|
11.1% | |
|
|
8.0% | |
|
|
3.2% | |
|
|
3.0% | |
|
|
2.6% | |
|
|
2.5% | |
|
|
2.4% | |
|
|
2.3% | |
|
|
2.2% | |
|
|
1.4% | |
|
|
0.8% |
Probabilities sum to 65.3% (= playoff probability). Remaining 34.7% = miss playoffs.
The Seattle Kraken have been mathematically eliminated from playoff contention, sitting at 75 points with six games remaining and a 0.0% playoff probability. Even a perfect finish would not be enough to reach the projected Western Conference cutoff of 89 points, officially ending their postseason hopes.
Seattle’s 32-33-11 record (75 points in 76 games) translates to a 49.3% points percentage, a clear step below the playoff bar in the West. Their -31 goal differential (212 goals for, 243 against) reflects season-long issues suppressing chances and protecting leads, and their overall team strength rating of 40.4% — including 43.1% at home and 38.8% on the road — ranks well behind postseason-caliber clubs. A 20.0% recent form rating underscores how sharply things have tailed off down the stretch, removing any late-season surge scenario that might have complicated the race.
The Western Conference wildcard race has surged beyond Seattle’s reach, with the cutline currently held by the Los Angeles Kings at 83 points and projected to finish at 89.0. Edmonton (87 points, 97.3% playoff odds), Anaheim (87, 95.2%), Utah (86, 97.5%), and Vegas (86, 94.0%) have effectively locked up spots, while LAK, Nashville (82), San Jose (81), Winnipeg (80), and St. Louis (78) are still mathematically alive. Even the teams directly ahead of Seattle — St. Louis at 78 and Winnipeg at 80 — project well above the Kraken’s 81.1-point finish, illustrating how much ground Seattle ceded over the course of the season.
The Kraken have six games left, evenly split between home and road, with an opponent strength of 55.2% — slightly above the league average of 52.9% — making this an average-to-tough closing slate. They’re projected to earn about 6.1 more points, which would bring them to roughly 81 points, still eight shy of the expected playoff cutoff. Even sweeping all six games to reach 87 points would likely leave them short, given the cluster of teams already in the mid-to-high 80s with games in hand.
With elimination confirmed, the final stretch becomes about evaluation and momentum rather than standings. Seattle’s sub-50% points pace, negative goal differential, and declining late-season form point to structural issues that must be addressed in the offseason. The focus now shifts to finishing competitively, identifying core pieces, and recalibrating for a much tighter push in 2026-27.
Your team's playoff hopes are fading — here are some teams worth cheering for:
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 3 | -3 | 44.0% | 75.9% | 3.8% |
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 |
|---|---|---|---|---|---|---|---|
| 1 | 1 | 0 | 2 | -2 | 41.4% | 48.5% | 1.1% |
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 |
|---|---|---|---|---|---|---|---|
| 1 | 1 | 0 | 2 | -2 | 43.8% | 59.5% | 1.9% |
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 |
|---|---|---|---|---|---|---|---|
| 2 | 0 | 0 | 4 | +9 | 82.3% | 70.6% | 2.1% |
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 |
|---|---|---|---|---|---|---|---|
| 1 | 0 | 0 | 2 | +1 | 70.6% | 13.8% | 0.1% |
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 65.3% 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 92–103 points (middle 50%). The playoff cutline is typically 94–97 points. Finishes above the cutline in 67.1% of simulations.
| # | Team | PTS | GP | Left | STR | L10 | SOS | Proj PTS | Playoff % |
|---|---|---|---|---|---|---|---|---|---|
| 4 | 4 | 3 | 79 | 73.6% | 55.0% | 51.3% | 101.7 | 79.3% | |
| 5 | 4 | 3 | 79 | 62.7% | 50.0% | 52.3% | 97.8 | 66.1% | |
| 6 | 4 | 3 | 79 | 73.6% | 50.0% | 52.3% | 97.6 | 65.3% | |
| 7 | 4 | 2 | 80 | 72.1% | 45.0% | 51.4% | 86.3 | 15.5% | |
| 8 | 4 | 4 | 78 | 49.4% | 40.0% | 52.6% | 81.0 | 5.1% | |
| 9 | 4 | 2 | 80 | 75.2% | 70.0% | 51.7% | 85.9 | 14.4% | |
| 10 | 3 | 2 | 80 | 53.5% | 30.0% | 52.4% | 81.3 | 4.7% | |
| 11 | 2 | 2 | 80 | 47.5% | 60.0% | 52.5% | 92.1 | 34.8% | |
| 12 | 2 | 2 | 80 | 39.0% | 30.0% | 52.9% | 84.2 | 8.9% | |
| Game | Impact | |
|---|---|---|
| PIT vs WPG |
PIT win:
+0.4%
WPG win:
-0.6%
|
| Result | Impact | |
|---|---|---|
| SEA 6 - CGY 1 | SEA played |
+3.6%
|
| Net: | +3.6% | |
| Overall Strength | Home Strength | Away Strength | Pythagorean Win % | Recent Form |
|---|---|---|---|---|
| 73.6% | 62.5% | 49.0% | 87.1% | 50.0% |
| # | Player | Pos | GP | G | A | PTS | +/- | SOG | HIT | BLK | TOI | Performance |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 7 | Jordan Eberle | R | 81 | 28 | 30 | 58 | +4 | 0 | 55 | 45 | 18:24 | |
| 10 | Matty Beniers | C | 83 | 20 | 32 | 52 | -4 | 0 | 32 | 69 | 19:10 | |
| 9 | Chandler Stephenson | C | 81 | 17 | 35 | 52 | -24 | 0 | 20 | 57 | 19:15 | |
| 29 | Vince Dunn | D | 82 | 11 | 35 | 46 | -24 | 0 | 29 | 88 | 21:40 | |
| 19 | Jared McCann | L | 54 | 19 | 23 | 42 | -7 | 0 | 40 | 23 | 16:25 | |
| 84 | Kaapo Kakko | R | 66 | 12 | 27 | 39 | +15 | 0 | 32 | 13 | 14:15 | |
| 62 | Brandon Montour | D | 65 | 9 | 22 | 31 | -23 | 0 | 80 | 81 | 22:38 | |
| 51 | Shane Wright | C | 75 | 13 | 15 | 28 | +5 | 0 | 50 | 59 | 13:54 | |
| 89 | Frederick Gaudreau | C | 69 | 8 | 16 | 24 | -2 | 0 | 34 | 49 | 16:02 | |
| 6 | Adam Larsson | D | 83 | 7 | 17 | 24 | +1 | 0 | 112 | 169 | 21:17 | |
| 41 | Ryker Evans | D | 68 | 8 | 11 | 19 | +5 | 0 | 50 | 73 | 17:58 | |
| 27 | Berkly Catton | C | 67 | 8 | 10 | 18 | -6 | 0 | 7 | 32 | 13:02 | |
| 26 | Ryan Winterton | C | 70 | 4 | 14 | 18 | 0 | 0 | 71 | 37 | 12:08 | |
| 74 | Bobby McMann | C | 21 | 12 | 4 | 16 | +2 | 0 | 37 | 8 | 17:45 | |
| 59 | Ben Meyers | C | 51 | 7 | 7 | 14 | -14 | 0 | 65 | 12 | 11:52 | |
| 55 | Ryan Lindgren | D | 77 | 2 | 7 | 9 | +1 | 0 | 47 | 115 | 18:14 | |
| 63 | Jacob Melanson | R | 37 | 2 | 3 | 5 | -9 | 0 | 190 | 14 | 9:22 | |
| 8 | Cale Fleury | D | 23 | 1 | 2 | 3 | +2 | 0 | 52 | 36 | 16:35 | |
| 28 | Josh Mahura | D | 24 | 1 | 2 | 3 | +9 | 0 | 27 | 40 | 15:36 | |
| 11 | Mackie Samoskevich ← FLA | R | 2 | 2 | 0 | 2 | +2 | 0 | 4 | 1 | 15:21 | |
| 42 | Curtis Douglas ← VAN | C | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 6:52 | |
| 46 | Ville Ottavainen | D | 1 | 0 | 0 | 0 | +2 | 0 | 0 | 1 | 15:51 |
| Date | Opponent | Location | Score | Result | Opp Strength | Playoff Impact |
|---|---|---|---|---|---|---|
| Oct 04 | Calgary Flames | Home | 6 - 1 | W | 8.7% | +3.6% |
| Oct 03 | Edmonton Oilers | Away | 3 - 1 | L | 70.8% | -3.3% |
| Oct 01 | Calgary Flames | Away | 1 - 6 | W | 8.7% | +4.4% |
| Sep 26 | Vancouver Canucks | Away | 4 - 3 | L | 49.4% | - |
| Sep 24 | Calgary Flames | Home | 4 - 3 (OT) | W | 8.7% | - |
| Sep 20 | Calgary Flames | Away | 2 - 4 | W | 8.7% | - |
| Sep 19 | Vancouver Canucks | Home | 4 - 2 | W | 49.4% | - |
| Apr 16 | Colorado Avalanche | Away | 2 - 0 | L | 82.3% | 0.0% |
| Apr 15 | Vegas Golden Knights | Away | 4 - 1 | L | 62.7% | 0.0% |
| Apr 13 | Los Angeles Kings | Home | 3 - 5 | L | 27.2% | 0.0% |
| Date | Opponent | Location | Opp Strength | Exp Pts | Playoff Swing | Predicted Winner |
|---|---|---|---|---|---|---|
| Oct 06, 21:40 | vs Vegas Golden Knights | Home | 62.7% | 1.16 | 8.0% | SEA (52%) |
| Oct 09, 19:00 | @ Detroit Red Wings | Away | 14.9% | 0.92 | 6.5% | DET (62%) |
| Oct 11, 17:00 | @ Washington Capitals | Away | 61.5% | 0.92 | 7.3% | WSH (62%) |
| Oct 13, 19:00 | @ Philadelphia Flyers | Away | 20.3% | 1.28 | - | SEA (59%) |
| Oct 15, 19:00 | @ Tampa Bay Lightning | Away | 41.4% | 1.10 | - | TBL (52%) |
| Oct 17, 18:00 | @ Florida Panthers | Away | 57.2% | 1.09 | - | FLA (52%) |
| Oct 20, 21:40 | vs Detroit Red Wings | Home | 14.9% | 1.02 | - | DET (56%) |
| Oct 22, 22:00 | vs Utah Mammoth | Home | 73.6% | 1.15 | - | SEA (51%) |
| Oct 24, 22:00 | vs Minnesota Wild | Home | 86.2% | 1.22 | - | SEA (55%) |
| Oct 28, 22:00 | vs Toronto Maple Leafs | Home | 38.2% | 1.23 | - | SEA (56%) |
| Averages (Next 10 games): | 11.1 pts | 4.8% | ||||
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.