Central Division, Western Conference
| GP | W | L | OTL | PTS | GF | GA | DIFF | PTS % | Last 10 |
|---|---|---|---|---|---|---|---|---|---|
| 2 | 1 | 0 | 1 | 3 | 6 | 6 | 0 | 75.0% |
|
Based on 100,000 simulations run on Oct 05, 2026
| Opponent | Probability | Likelihood |
|---|---|---|
|
|
1.0% | |
|
|
0.9% | |
|
|
0.9% |
Probabilities sum to 4.7% (= playoff probability). Remaining 95.3% = miss playoffs.
The Winnipeg Jets are hanging by a mathematical thread, sitting at 82 points with a 0.4% playoff probability and three games remaining. Even with a slight uptick in their odds, they would need a near-perfect finish and significant help to reach a projected cutoff of 90.9 points. Realistically, their postseason hopes are all but extinguished.
At 35-32-12 through 79 games, Winnipeg’s 82 points translate to a 51.9% points percentage, a middling mark that reflects their season-long inconsistency. Their -18 goal differential (225 goals for, 243 against) underscores that they’ve been outscored by a meaningful margin, often putting themselves in tight games without enough finishing or defensive insulation. The underlying team strength rating of 52.6% suggests they’re slightly above average overall, stronger at home (55.8%) than on the road (50.7%), and their recent form at 70.0% indicates a late push. Unfortunately, that surge has come too late to meaningfully shift their playoff outlook.
The Jets sit 10th in the conference race, five points back of the final playoff spot currently held by the Los Angeles Kings at 87 points, with Anaheim (89), Edmonton (90), Utah (90), and Vegas (91) all effectively locked in at 95% to 100% playoff odds. Even Nashville at 86 points has better positioning with 20.2% odds. Winnipeg would need to leapfrog at least three teams, including Los Angeles, whose projected finish is 90.9 points—the estimated cutoff. Given that the Kings, Ducks, and Oilers are all projected above 92 points and have stronger overall team ratings, the odds of multiple collapses aligning with a Jets surge are extremely slim.
Winnipeg has three games left, one at home and two on the road, with an opponent strength of 54.5%, slightly above the league average of 52.7%, making this an average-to-tough closing stretch. Their road-heavy finish is notable given their weaker away strength rating of 50.7%. The model projects them to earn 3.4 points over these final three contests, bringing them to 85.4 points—well short of the 90.9-point projected cutoff. Even a perfect 6-point finish would only bring them to 88 points, which still likely wouldn’t be enough without widespread losses from the teams above them.
The Jets’ late-season push has improved their form but not their fate, as the math and the standings both stand firmly against them. With a projected finish nearly six points shy of the playoff line and multiple teams needing to stumble simultaneously, Winnipeg’s path requires an extraordinary sequence of results. Barring a miracle, this week will mark the end of their 2025-26 season.
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 love structure and speed, Carolina is an easy bandwagon. The Hurricanes roll four lines, pressure relentlessly, and feel a lot like the Jets at their best—just with a bit more finish right now. It’s a smart, deep team that’s built for a long run.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 1 | 1 | 0 | 2 | -2 | 41.4% | 48.5% | 1.1% |
Tampa Bay gives you star power and big-game pedigree. Watching Nikita Kucherov and Brayden Point operate in the playoffs is pure entertainment, and Andrei Vasilevskiy can still steal a series. If you want a proven contender that knows how to flip the switch, this is it.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 1 | 1 | 0 | 2 | -2 | 43.8% | 59.5% | 1.9% |
Buffalo is the fun, up-and-coming East team with serious firepower. Their young core plays fast and attacks in waves, which should appeal to Jets fans who appreciate skill up front. There’s also something satisfying about backing a long-suffering market chasing a breakthrough.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 2 | 0 | 1 | 5 | +3 | 70.8% | 43.8% | 0.6% |
If you’re staying in the West but avoiding the Central, Edmonton offers the superstar experience. Connor McDavid and Leon Draisaitl can turn any game into must-watch TV, and a deep run would be all about offensive fireworks. It’s a low-effort, high-entertainment bandwagon.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 2 | 1 | 0 | 4 | +3 | 62.7% | 66.1% | 1.9% |
Vegas is always in the mix and built for playoff hockey—big, structured, and opportunistic. They don’t overwhelm with flash, but they’re relentless and hard to put away. If you want a team that feels sturdy and battle-tested without Central Division baggage, the Knights fit nicely.
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 4.7% 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 76–87 points (middle 50%). The playoff cutline is typically 94–97 points. Finishes above the cutline in 6.3% 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 | WPG playing |
PIT win:
-0.8%
WPG win:
+1.3%
|
| Result | Impact | |
|---|---|---|
| DET 2 - WPG 3 | WPG played |
+1.8%
|
| Net: | +1.8% | |
| Overall Strength | Home Strength | Away Strength | Pythagorean Win % | Recent Form |
|---|---|---|---|---|
| 53.5% | 38.9% | 33.3% | 50.0% | 30.0% |
| # | Player | Pos | GP | G | A | PTS | +/- | SOG | HIT | BLK | TOI | Performance |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 55 | Mark Scheifele | C | 84 | 36 | 67 | 103 | -2 | 0 | 32 | 46 | 21:28 | |
| 81 | Kyle Connor | L | 84 | 42 | 55 | 97 | -4 | 0 | 38 | 21 | 21:29 | |
| 13 | Gabriel Vilardi | C | 84 | 30 | 40 | 70 | -14 | 0 | 20 | 35 | 18:41 | |
| 44 | Josh Morrissey | D | 79 | 14 | 43 | 57 | +4 | 0 | 37 | 122 | 24:41 | |
| 91 | Cole Perfetti | C | 70 | 13 | 23 | 36 | -11 | 0 | 57 | 35 | 15:40 | |
| 9 | Alex Iafallo | L | 81 | 13 | 15 | 28 | +4 | 0 | 122 | 58 | 15:30 | |
| 36 | Morgan Barron | C | 67 | 11 | 13 | 24 | +5 | 0 | 139 | 42 | 12:55 | |
| 17 | Adam Lowry | C | 72 | 5 | 18 | 23 | -7 | 0 | 153 | 50 | 14:59 | |
| 62 | Nino Niederreiter | R | 63 | 8 | 11 | 19 | -6 | 0 | 72 | 20 | 13:42 | |
| 2 | Dylan DeMelo | D | 84 | 4 | 15 | 19 | +6 | 0 | 116 | 111 | 21:28 | |
| 7 | Vladislav Namestnikov | C | 62 | 8 | 6 | 14 | -13 | 0 | 76 | 38 | 13:44 | |
| 54 | Dylan Samberg | D | 68 | 1 | 13 | 14 | +5 | 0 | 54 | 120 | 21:48 | |
| 4 | Neal Pionk | D | 53 | 3 | 9 | 12 | -1 | 0 | 114 | 80 | 22:46 | |
| 93 | Brad Lambert | C | 23 | 2 | 3 | 5 | -4 | 0 | 22 | 5 | 11:08 | |
| 27 | Isak Rosen | R | 23 | 3 | 0 | 3 | -3 | 0 | 10 | 12 | 10:47 | |
| 38 | Mario Ferraro ← SJS | D | 2 | 1 | 0 | 1 | 0 | 0 | 4 | 3 | 19:08 | |
| 61 | Viggo Björck | C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14:28 | |
| 6 | Jack St. Ivany ← PIT | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 77 | Tyrel Bauer | D | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 7:17 | |
| 29 | Brayden Yager | C | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 45 | Cole Koepke | L | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 6 | Colin Miller | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 53 | Danil Zhilkin | C | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 57 | Elias Salomonsson | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 14 | Gustav Nyquist | R | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 24 | Haydn Fleury | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 3 | Isaak Phillips | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 19 | Jonathan Toews | C | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 90 | Nikita Chibrikov | R | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 25 | Parker Ford | C | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 71 | Walker Duehr | R | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 14 | Ville Heinola | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 78 | Jacob Bryson | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 70 | Tanner Pearson | L | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 2 | Luke Schenn | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 8 | Logan Stanley | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Date | Opponent | Location | Score | Result | Opp Strength | Playoff Impact |
|---|---|---|---|---|---|---|
| Oct 04 | Detroit Red Wings | Away | 2 - 3 | W | 14.9% | +1.8% |
| Oct 02 | Boston Bruins | Home | 3 - 4 (OT) | OTL | 59.3% | -2.5% |
| Sep 25 | Colorado Avalanche | Away | 5 - 2 | L | 82.3% | - |
| Sep 22 | Edmonton Oilers | Home | 1 - 2 (OT) | OTL | 70.8% | - |
| Sep 21 | Colorado Avalanche | Home | 3 - 1 | W | 82.3% | - |
| Sep 19 | Edmonton Oilers | Away | 5 - 2 | L | 70.8% | - |
| Apr 16 | San Jose Sharks | Home | 1 - 6 | L | 75.2% | 0.0% |
| Apr 14 | Utah Mammoth | Away | 5 - 3 | L | 73.6% | 0.0% |
| Apr 13 | Vegas Golden Knights | Away | 6 - 2 | L | 62.7% | -1.6% |
| Apr 11 | Philadelphia Flyers | Home | 1 - 7 | L | 20.3% | -10.6% |
| Date | Opponent | Location | Opp Strength | Exp Pts | Playoff Swing | Predicted Winner |
|---|---|---|---|---|---|---|
| Oct 05, 19:30 | @ Pittsburgh Penguins | Away | 86.6% | 0.95 | 2.1% | PIT (60%) |
| Oct 07, 19:30 | vs Colorado Avalanche | Home | 82.3% | 0.97 | 2.2% | COL (59%) |
| Oct 09, 20:00 | vs Anaheim Ducks | Home | 72.1% | 1.18 | 1.8% | WPG (53%) |
| Oct 13, 20:15 | vs Minnesota Wild | Home | 86.2% | 1.01 | - | MIN (57%) |
| Oct 15, 20:00 | @ Chicago Blackhawks | Away | 12.0% | 0.76 | - | CHI (71%) |
| Oct 17, 15:30 | vs Carolina Hurricanes | Home | 44.0% | 0.93 | - | CAR (61%) |
| Oct 20, 20:00 | @ St. Louis Blues | Away | 47.5% | 0.91 | - | STL (62%) |
| Oct 22, 20:00 | @ Dallas Stars | Away | 12.4% | 0.76 | - | DAL (71%) |
| Oct 25, 19:00 | vs Montréal Canadiens | Home | 59.5% | 0.98 | - | MTL (58%) |
| Oct 27, 20:00 | vs Florida Panthers | Home | 57.2% | 1.13 | - | WPG (50%) |
| Averages (Next 10 games): | 9.6 pts | 2.0% | ||||
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.