Atlantic Division, Eastern Conference
| GP | W | L | OTL | PTS | GF | GA | DIFF | PTS % | Last 10 |
|---|---|---|---|---|---|---|---|---|---|
| 2 | 0 | 2 | 0 | 0 | 2 | 5 | -3 | 0.0% |
|
Based on 100,000 simulations run on Oct 05, 2026
| Opponent | Probability | Likelihood |
|---|---|---|
|
|
10.3% | |
|
|
9.9% | |
|
|
9.3% | |
|
|
9.0% | |
|
|
8.7% | |
|
|
7.6% | |
|
|
7.2% | |
|
|
6.8% | |
|
|
5.6% | |
|
|
5.5% | |
|
|
4.8% | |
|
|
4.4% | |
|
|
2.9% | |
|
|
1.2% |
Probabilities sum to 93.6% (= playoff probability). Remaining 6.4% = miss playoffs.
The Red Wings are clinging to faint playoff hopes, sitting at just a 4.7% chance to qualify with four games remaining. At 89 points, Detroit likely needs to reach at least 96 or 97 to have a realistic shot, meaning they must be nearly perfect down the stretch and get help.
Detroit’s 40-29-9 record translates to a 57.1% points percentage, solid but not strong enough in a crowded Eastern race. Their -10 goal differential (228 scored, 238 allowed) reflects a team that has struggled to consistently outplay opponents, and their 48.0% overall strength rating backs that up. More concerning is a recent form rating of 35.0%, suggesting they’ve cooled off at the worst possible time. With middling home (48.4%) and road (49.5%) strength splits, there’s no clear situational edge to lean on in the final week.
The cutline currently sits with Philadelphia at 92 points and a projected 96.5, while Ottawa is slightly ahead at 92 and trending toward 97. Pittsburgh and Boston are effectively locked in at 96 points each, and Montreal is far out of reach. That leaves Detroit chasing not just one team but likely two, as Columbus (90 points) and the Islanders (89) are also in the mix. Given projections have Detroit finishing at 93.3 points, they would need to outperform Ottawa and Philadelphia by multiple points over just four games, while also holding off Columbus and New York — a parlay that explains the sub-5% odds.
Detroit has four games left, evenly split between home and road, against opponents averaging a 53.2% strength rating, slightly above league average. The schedule is considered balanced and of average difficulty, with 4.3 expected points — roughly a 2-1-1 finish. However, the projected playoff cutoff is 96.5 points, meaning Detroit likely needs at least seven of eight possible points to push into serious contention. Anything short of three wins probably leaves them watching the scoreboard and coming up short.
The math is daunting: Detroit needs a near-perfect finish and multiple stumbles from teams directly ahead. With below-average underlying strength and poor recent form, their 4.7% playoff probability feels realistic. While not mathematically eliminated, the Red Wings’ postseason path is narrow and largely out of their control.
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% | 70.6% | 2.1% |
If you want to watch a true heavyweight, Colorado is the easy pick. Nathan MacKinnon and Cale Makar drive one of the fastest, most explosive teams in the league, and they’ve got the depth to make a long run. It’s pure, high-end playoff hockey every night.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 0 | 2 | 0 | 0 | -5 | 12.4% | 93.0% | 12.8% |
Dallas offers a great mix of structure and star power, with a deep forward group and a blue line that can control a series. They play a smart, playoff-ready style that Wings fans can appreciate, especially if you miss those tight, disciplined Detroit teams of the past. They’re built to win four rounds.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 2 | 0 | 1 | 5 | +3 | 70.8% | 43.8% | 0.6% |
If you’re in the mood for offense, Connor McDavid and Leon Draisaitl are must-watch. Edmonton games feel like they can swing on a single shift, and the power play is electric. It’s a fun, low-stakes Western Conference bandwagon with superstar drama baked in.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 2 | 0 | 0 | 4 | +2 | 72.1% | 15.5% | 0.1% |
Anaheim is your underdog option. They’ve battled their way into the picture with a negative goal differential, which makes every win feel scrappy and earned. If you like rooting for a young group trying to prove it belongs, this is a sneaky fun ride.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 3 | -3 | 44.0% | 75.9% | 3.8% |
Carolina plays a relentless, puck-possession style that overwhelms teams over a seven-game series. They roll four lines, attack in waves, and rarely beat themselves. If you want a team that looks engineered for a deep run, the Hurricanes are a safe and satisfying bet.
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 93.6% 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 102–113 points (middle 50%). The playoff cutline is typically 94–97 points. Finishes above the cutline in 94.3% of simulations.
| # | Team | PTS | GP | Left | STR | L10 | SOS | Proj PTS | Playoff % |
|---|---|---|---|---|---|---|---|---|---|
| 4 | 4 | 3 | 79 | 57.2% | 80.0% | 50.9% | 89.5 | 26.3% | |
| 5 | 3 | 2 | 80 | 59.5% | 60.0% | 51.0% | 93.4 | 44.4% | |
| 6 | 3 | 3 | 79 | 44.0% | 75.0% | 52.8% | 100.5 | 75.9% | |
| 7 | 2 | 3 | 79 | 38.2% | 35.0% | 51.8% | 93.9 | 46.8% | |
| 8 | 2 | 1 | 81 | 70.6% | 30.0% | 50.9% | 85.5 | 13.8% | |
| 9 | 2 | 2 | 80 | 61.5% | 85.0% | 52.0% | 104.9 | 89.3% | |
| 10 | 2 | 2 | 80 | 43.8% | 50.0% | 52.5% | 96.5 | 59.5% | |
| 11 | 2 | 2 | 80 | 41.4% | 55.0% | 51.7% | 94.2 | 48.5% | |
| 12 | 2 | 2 | 80 | 67.2% | 30.0% | 51.9% | 106.1 | 91.6% | |
| 13 | 2 | 2 | 80 | 50.0% | 50.0% | 52.2% | 96.4 | 58.6% | |
| 14 | 2 | 3 | 79 | 20.3% | 30.0% | 53.7% | 77.7 | 2.0% | |
| 15 | 2 | 2 | 80 | 34.2% | 65.0% | 53.3% | 82.0 | 6.1% | |
| 16 | 0 | 2 | 80 | 14.9% | 40.0% | 53.1% | 107.2 | 93.6% | |
| Result | Impact | |
|---|---|---|
| DET 2 - WPG 3 | DET played |
-1.3%
|
| Net: | -1.3% | |
| Overall Strength | Home Strength | Away Strength | Pythagorean Win % | Recent Form |
|---|---|---|---|---|
| 14.9% | 80.0% | 80.0% | 13.8% | 40.0% |
| # | Player | Pos | GP | G | A | PTS | +/- | SOG | HIT | BLK | TOI | Performance |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 93 | Alex DeBrincat | R | 84 | 41 | 45 | 86 | +7 | 0 | 42 | 41 | 18:33 | |
| 23 | Lucas Raymond | L | 82 | 25 | 51 | 76 | -1 | 0 | 44 | 28 | 18:52 | |
| 53 | Moritz Seider | D | 84 | 10 | 51 | 61 | +15 | 0 | 129 | 188 | 25:39 | |
| 18 | Andrew Copp | C | 81 | 9 | 35 | 44 | +2 | 0 | 48 | 65 | 16:43 | |
| 58 | Emmitt Finnie | C | 84 | 14 | 17 | 31 | -8 | 0 | 135 | 41 | 15:29 | |
| 37 | J.T. Compher | L | 84 | 11 | 17 | 28 | -14 | 0 | 23 | 54 | 15:39 | |
| 44 | Axel Sandin-Pellikka | D | 70 | 7 | 14 | 21 | -19 | 0 | 18 | 55 | 16:10 | |
| 92 | Marco Kasper | C | 82 | 9 | 10 | 19 | -19 | 0 | 187 | 49 | 13:44 | |
| 8 | Ben Chiarot | D | 84 | 5 | 10 | 15 | -8 | 0 | 175 | 165 | 20:46 | |
| 27 | Michael Rasmussen | C | 66 | 6 | 8 | 14 | -11 | 0 | 68 | 64 | 12:44 | |
| 22 | Mason Appleton | C | 67 | 6 | 8 | 14 | -4 | 0 | 95 | 29 | 13:23 | |
| 20 | Albert Johansson | D | 84 | 3 | 8 | 11 | -18 | 0 | 57 | 95 | 15:52 | |
| 72 | Justin Faulk | D | 19 | 5 | 3 | 8 | -6 | 0 | 24 | 30 | 20:25 | |
| 33 | Viktor Arvidsson ← BOS | L | 2 | 1 | 0 | 1 | -1 | 0 | 1 | 3 | 18:50 | |
| 28 | Michael Brandsegg-Nygård | R | 7 | 0 | 1 | 1 | +1 | 0 | 21 | 0 | 13:11 | |
| 29 | Nate Danielson | C | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 8:55 | |
| 55 | Keegan Kolesar ← VGK | R | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 10:36 | |
| 78 | Jacob Bryson ← WPG | D | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| 24 | Andreas Englund | D | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 7:15 | |
| 42 | Anton Johansson | D | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 16:20 |
| Date | Opponent | Location | Score | Result | Opp Strength | Playoff Impact |
|---|---|---|---|---|---|---|
| Oct 04 | Winnipeg Jets | Home | 2 - 3 | L | 53.5% | -1.3% |
| Oct 02 | New York Rangers | Home | 0 - 2 | L | 73.0% | -4.2% |
| Sep 26 | Columbus Blue Jackets | Home | 2 - 4 | L | 50.0% | - |
| Sep 24 | Buffalo Sabres | Home | 3 - 2 (OT) | W | 43.8% | - |
| Sep 22 | Pittsburgh Penguins | Away | 4 - 7 | W | 86.6% | - |
| Sep 21 | Columbus Blue Jackets | Away | 1 - 0 (OT) | OTL | 50.0% | - |
| Apr 15 | Florida Panthers | Away | 8 - 1 | L | 57.2% | 0.0% |
| Apr 13 | Tampa Bay Lightning | Away | 4 - 3 (OT) | OTL | 41.4% | 0.0% |
| Apr 11 | New Jersey Devils | Home | 3 - 5 | L | 34.2% | -3.6% |
| Apr 09 | Philadelphia Flyers | Home | 6 - 3 | W | 20.3% | +4.2% |
| Date | Opponent | Location | Opp Strength | Exp Pts | Playoff Swing | Predicted Winner |
|---|---|---|---|---|---|---|
| Oct 06, 19:00 | vs Ottawa Senators | Home | 70.6% | 1.43 | 2.6% | DET (68%) |
| Oct 09, 19:00 | vs Seattle Kraken | Home | 73.6% | 1.33 | 2.8% | DET (62%) |
| Oct 10, 19:00 | @ Montréal Canadiens | Away | 59.5% | 1.36 | 2.6% | DET (63%) |
| Oct 13, 18:00 | vs New Jersey Devils | Home | 34.2% | 1.46 | - | DET (69%) |
| Oct 15, 19:30 | vs Philadelphia Flyers | Home | 20.3% | 1.47 | - | DET (70%) |
| Oct 17, 19:00 | vs San Jose Sharks | Home | 75.2% | 1.47 | - | DET (70%) |
| Oct 20, 21:40 | @ Seattle Kraken | Away | 73.6% | 1.23 | - | DET (56%) |
| Oct 22, 22:00 | @ Vancouver Canucks | Away | 49.4% | 1.52 | - | DET (72%) |
| Oct 24, 22:00 | @ Calgary Flames | Away | 8.7% | 1.12 | - | DET (50%) |
| Oct 26, 21:30 | @ Edmonton Oilers | Away | 70.8% | 1.30 | - | DET (60%) |
| Averages (Next 10 games): | 13.7 pts | 2.6% | ||||
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.