Atlantic Division, Eastern Conference
| GP | W | L | OTL | PTS | GF | GA | DIFF | PTS % | Last 10 |
|---|---|---|---|---|---|---|---|---|---|
| 77 | 40 | 29 | 8 | 88 | 225 | 234 | -9 | 57.1% |
|
Based on 100,000 simulations run on Apr 07, 2026
| Opponent | Probability | Likelihood |
|---|---|---|
|
|
8.7% | |
|
|
3.4% | |
|
|
0.6% |
Probabilities sum to 12.8% (= playoff probability). Remaining 87.2% = miss playoffs.
The Detroit Red Wings are clinging to slim playoff hopes with a 12.7% chance of qualifying, down nearly four percentage points from their previous outlook. With five games left and a projected finish below the cutoff line, they likely need a near-perfect closing stretch plus help from teams ahead of them.
Detroit sits at 40-29-8 with 88 points through 77 games, good for a 57.1% points percentage but only a minus-9 goal differential (225 scored, 234 allowed), which reflects a team that has struggled to control play consistently. Their underlying team strength rating of 49.2% suggests they’ve been closer to average than contender-level, and a recent form mark of 40.0% indicates they’ve cooled off at the worst possible time. While their road strength (50.5%) slightly outpaces their home performance (49.6%), neither split shows the kind of edge typically needed to power a late playoff surge.
The Eastern Conference race is crowded and unforgiving, with Philadelphia currently holding the final playoff spot at 90 points and a projected 95.6-point finish. Ottawa is just ahead at 90 points and projected for 96.0, while Boston and Pittsburgh are effectively out of reach at 95 and 96 points respectively with far stronger playoff odds. Detroit also has to contend with the Islanders and Blue Jackets, who sit at 89 and 88 points and have comparable or better playoff probabilities, particularly Columbus at 24.1%. To climb from 10th to eighth, the Red Wings likely need to pass both Philadelphia and Ottawa while holding off New York and Columbus, a difficult parlay given their lower team strength rating.
Detroit has five games remaining, three at home and two on the road, with an opponent strength of 54.1%, slightly above league average, making this an objectively challenging stretch. The schedule is considered average overall, but the Wings are projected to earn just 5.5 more points, which would bring them to 93.4—more than two points shy of the projected 95.6-point cutoff. Realistically, they may need at least seven or eight points out of a possible ten to have a strong chance, meaning something like a 4-1-0 finish, and even that might not be enough without help elsewhere.
With no path to a division title and just a 0.7% chance at a conference crown, Detroit’s focus is solely on sneaking into the final wild-card spot. The math shows a narrow road: outperform projections, get favorable results from Ottawa and Philadelphia’s opponents, and avoid being leapfrogged by Columbus or the Islanders. It’s possible, but at 12.7% odds and trending downward, the Red Wings are running out of time and margin for error.
Your team's playoff hopes are fading — here are some teams worth cheering for:
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 50 | 16 | 10 | 110 | +91 | 68.8% | 100.0% | 12.4% |
If you’re craving dominant, highlight-reel hockey, Colorado is an easy bandwagon to jump on. Cale Makar and Nathan MacKinnon drive one of the league’s most explosive attacks, and they play with a pace that feels built for spring. It’s stress-free, high-end hockey from a Western Conference powerhouse.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 45 | 20 | 12 | 102 | +47 | 57.8% | 100.0% | 5.8% |
Dallas offers that balanced, playoff-ready feel Wings fans can appreciate — depth scoring, steady defense, and strong goaltending. They don’t rely on just one superstar line, which makes them dangerous in a long series. It’s a team that wins smart, structured games while still having enough skill to take over.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 39 | 29 | 9 | 87 | +8 | 56.7% | 98.4% | 5.5% |
If you just want to watch greatness, Connor McDavid and Leon Draisaitl are reason enough. Edmonton games swing fast and get chaotic in a hurry, which makes every playoff night entertaining. They’re flawed enough to be dramatic but talented enough to go on a run.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 40 | 30 | 6 | 86 | +30 | 57.2% | 98.3% | 6.7% |
Utah is the fun new story — a fresh market, a hungry roster, and a chance to watch a fan base experience meaningful playoff hockey in its early days. They’ve got legit talent and play with an edge, but still feel like a bit of an underdog. It’s an easy, low-baggage team to adopt for a spring.
| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 49 | 22 | 6 | 104 | +47 | 63.9% | 100.0% | 9.3% |
Carolina is a contender that wins with structure, depth, and relentless pressure — traits Wings fans can respect. They roll four lines, activate their defense, and rarely beat themselves. If you want to back a team that feels built for a long, grinding playoff run, this is it.
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 12.8% 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 92–95 points (middle 50%). The playoff cutline is typically 95–96 points. Finishes above the cutline in 29.9% of simulations.
| # | 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% | |
| Result | Impact | |
|---|---|---|
| DET 4 - MIN 5 | DET played |
-10.7%
|
| OTT 6 - CAR 3 |
-5.9%
|
|
| NYR 8 - WSH 1 |
+1.1%
|
|
| Net: | -15.5% | |
| Overall Strength | Home Strength | Away Strength | Pythagorean Win % | Recent Form |
|---|---|---|---|---|
| 49.2% | 49.6% | 50.5% | 48.0% | 40.0% |
| # | Player | Pos | GP | G | A | PTS | +/- | SOG | HIT | BLK | TOI | Performance |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 93 | Alex DeBrincat | R | 77 | 39 | 42 | 81 | +8 | 0 | 35 | 37 | 18:29 | |
| 23 | Lucas Raymond | L | 75 | 25 | 48 | 73 | +3 | 0 | 41 | 28 | 18:49 | |
| 71 | Dylan Larkin | C | 70 | 30 | 29 | 59 | +3 | 0 | 42 | 33 | 20:09 | |
| 53 | Moritz Seider | D | 77 | 9 | 45 | 54 | +21 | 0 | 120 | 167 | 25:45 | |
| 88 | Patrick Kane | R | 62 | 15 | 37 | 52 | +1 | 0 | 20 | 23 | 17:41 | |
| 18 | Andrew Copp | C | 74 | 9 | 33 | 42 | +5 | 0 | 43 | 59 | 16:32 | |
| 21 | James van Riemsdyk | L | 67 | 15 | 15 | 30 | -14 | 0 | 15 | 26 | 11:49 | |
| 58 | Emmitt Finnie | C | 77 | 12 | 16 | 28 | -9 | 0 | 118 | 40 | 15:26 | |
| 37 | J.T. Compher | L | 77 | 11 | 15 | 26 | -8 | 0 | 22 | 50 | 15:38 | |
| 77 | Simon Edvinsson | D | 67 | 9 | 15 | 24 | +13 | 0 | 87 | 144 | 22:28 | |
| 44 | Axel Sandin-Pellikka | D | 65 | 7 | 14 | 21 | -20 | 0 | 16 | 52 | 16:16 | |
| 92 | Marco Kasper | C | 76 | 8 | 10 | 18 | -16 | 0 | 180 | 46 | 13:48 | |
| 27 | Michael Rasmussen | C | 63 | 6 | 8 | 14 | -10 | 0 | 63 | 59 | 12:43 | |
| 22 | Mason Appleton | C | 65 | 6 | 8 | 14 | -4 | 0 | 89 | 29 | 13:30 | |
| 8 | Ben Chiarot | D | 77 | 5 | 7 | 12 | -9 | 0 | 163 | 157 | 20:50 | |
| 20 | Albert Johansson | D | 77 | 3 | 7 | 10 | -14 | 0 | 53 | 89 | 16:00 | |
| 29 | Jonatan Berggren → STL | R | 15 | 2 | 4 | 6 | -3 | 0 | 10 | 3 | 11:59 | |
| 25 | Jacob Bernard-Docker | D | 61 | 1 | 4 | 5 | +3 | 0 | 63 | 85 | 14:49 | |
| 43 | John Leonard | L | 11 | 2 | 2 | 4 | -3 | 0 | 12 | 9 | 11:30 | |
| 65 | Dominik Shine | R | 16 | 3 | 0 | 3 | -1 | 0 | 11 | 6 | 7:06 | |
| 25 | Elmer Soderblom → PIT | L | 39 | 2 | 1 | 3 | -4 | 0 | 64 | 11 | 10:40 | |
| 72 | Justin Faulk ← STL | D | 12 | 1 | 2 | 3 | -6 | 0 | 17 | 23 | 20:08 | |
| 52 | Travis Hamonic | D | 25 | 0 | 2 | 2 | -10 | 0 | 27 | 41 | 14:16 | |
| 57 | David Perron ← OTT | L | 11 | 1 | 0 | 1 | -3 | 0 | 17 | 1 | 13:22 | |
| 56 | Erik Gustafsson | D | 1 | 0 | 0 | 0 | -1 | 0 | 1 | 0 | 20:06 | |
| 34 | Carter Mazur | L | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 8:53 | |
| 15 | Sheldon Dries | C | 5 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 6:58 | |
| 28 | Michael Brandsegg-Nygård | R | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 11:47 |
| Date | Opponent | Score | Result |
|---|---|---|---|
| Apr 05 | vs MIN | 4 - 5 | L |
| Apr 04 | @ NYR | 4 - 1 | L |
| Apr 02 | @ PHI | 2 - 4 | W |
| Mar 31 | @ PIT | 5 - 1 | L |
| Mar 28 | vs PHI | 3 - 5 | L |
| Mar 27 | @ BUF | 2 - 5 | W |
| Mar 24 | vs OTT | 2 - 3 | L |
| Mar 21 | vs BOS | 2 - 4 | L |
| Mar 19 | vs MTL | 3 - 1 | W |
| Mar 16 | vs CGY | 5 - 2 | W |
| Date | Opponent | Location | Opp Strength | Exp Pts | Playoff Swing | Predicted Winner |
|---|---|---|---|---|---|---|
| Apr 07, 19:00 | vs Columbus Blue Jackets | Home | 49.5% | 1.17 | 14.4% | DET (53%) |
| Apr 09, 19:00 | vs Philadelphia Flyers | Home | 56.2% | 1.06 | - | PHI (54%) |
| Apr 11, 17:00 | vs New Jersey Devils | Home | 52.4% | 1.11 | - | NJD (51%) |
| Apr 13, 19:00 | @ Tampa Bay Lightning | Away | 67.8% | 1.00 | - | TBL (57%) |
| Apr 15, 19:00 | @ Florida Panthers | Away | 44.8% | 1.11 | - | FLA (51%) |
| Averages (Next 5 games): | 5.5 pts | 5.7% | ||||
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.