Pittsburgh Penguins CLINCHED
Metropolitan Division, Eastern Conference
Current Standings
| GP | W | L | OTL | PTS | GF | GA | DIFF | PTS % | Last 10 |
|---|---|---|---|---|---|---|---|---|---|
| 82 | 41 | 25 | 16 | 98 | 293 | 268 | +25 | 59.8% |
|
Playoff Probabilities
Based on 100,000 simulations run on Jun 15, 2026
Likely First-Round Opponents
| Opponent | Probability | Likelihood |
|---|---|---|
Philadelphia Flyers
|
100.0% |
Analysis
Summary
The Pittsburgh Penguins are on the brink of clinching, sitting at a 96.6% playoff probability despite a slight 1.3% dip. With a projected 100.4 points and a cutoff around 95–96, they are in strong position to secure a berth, though likely as a wild-card team rather than a division winner. Their focus now is on closing out the final week cleanly and locking in seeding.
Record and Recent Performance
At 38-21-16 through 75 games, Pittsburgh’s 92 points and 61.3% points percentage reflect a solid, if not dominant, season. Their +25 goal differential (263 scored, 238 allowed) supports that profile, showing a team that can generate offense but hasn’t always suppressed chances consistently. The underlying strength rating of 58.9% is good but trails some immediate rivals, although a strong 65.0% recent form suggests they’ve been trending upward at the right time. Interestingly, they’ve been better on the road (63.2% strength) than at home (56.6%), which could matter down the stretch with more away games remaining.
The Competition
Montreal (96 points) and Boston (94 points) appear safely ahead, both projecting past 101 points and effectively out of Pittsburgh’s reach for divisional positioning. The Penguins’ realistic battle is with the Islanders (89 points), Blue Jackets (88), Senators (86), Red Wings (86), Flyers (86), and Capitals (85), most of whom project to finish between 94 and 96 points. With the projected cutoff at 95.6, Pittsburgh likely needs four to five more points to feel secure, and their current cushion gives them a clear edge over teams like NYI and CBJ, whose playoff odds sit around 45%. A collapse would be required to fall out, but the cluster below means nothing is mathematically guaranteed yet.
Remaining Schedule
The Penguins have seven games left, three at home and four on the road, with an average schedule difficulty (53.1% opponent strength versus a 53.0% league average). The road-heavy finish aligns with their stronger away profile, which is a subtle advantage. They’re projected to collect 8.4 more points, which would bring them to roughly 100 points—comfortably above the playoff line. Even a .500 finish likely gets them over the projected 95.6-point cutoff, meaning they control their fate without needing help from other results.
Outlook
Barring an unexpected skid, Pittsburgh should clinch a playoff spot within the next week and finish around 100 points. The division title is effectively off the table at 0.4%, but once in, their 12.7% conference and 6.6% Stanley Cup odds suggest they’re viewed as a credible, if second-tier, contender. The mission now is simple: secure the berth, sharpen their defensive game, and prepare for what looks like a tough first-round matchup.
Bandwagon Case
Why you should jump on the bandwagon:
If you’re looking for a playoff team that blends pedigree with a little bit of edge, Pittsburgh makes a compelling case. Sidney Crosby is still driving the bus — his pace, puck protection, and ability to control a game haven’t faded — and Evgeni Malkin remains a matchup nightmare when he’s rolling. Kris Letang continues to log big minutes and push play from the back end, and Jake Guentzel’s scoring touch gives them a reliable finisher in tight games. There’s enough institutional knowledge here to handle the grind of a series.
What’s interesting about this version of the Penguins is that they’re not just leaning on nostalgia. Their +25 goal differential reflects a team that can open things up offensively (263 goals) but has also found better defensive structure than in some recent seasons. They’ve been trending well down the stretch, too, which matters for a veteran group that knows how to pace itself. The core is chasing another run in what feels like a narrowing window, and that urgency shows in how direct they’ve played lately.
Stylistically, Pittsburgh is still at its best when the game gets fast. They transition quickly, activate their defense, and trust their top players to make plays in motion rather than grinding everything along the walls. That makes them fun to watch — there’s always the sense that Crosby or Malkin can tilt a period with one shift. If you want a team with star power, playoff scars, and just enough momentum to feel dangerous, the Penguins fit the bill.
Required Win Percentage for Playoffs
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.
Playoff Probability Breakdown
Understanding the factors that drive the 100.0% playoff probability
📊 Schedule Context
🎯 Key Factors
🏒 Playoff Picture
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.
Points Distribution vs. Cutline
Projected to finish with 98–98 points (middle 50%). The playoff cutline is typically 98–98 points. Finishes above the cutline in 100.0% of simulations.
Team Projection
Playoff Cutline
Playoff Race — Eastern Conference
| # | Team | PTS | GP | Left | STR | L10 | SOS | Proj PTS | Playoff % |
|---|---|---|---|---|---|---|---|---|---|
| 4 | 106 | 82 | 0 | 60.9% | 70.0% | 50.0% | 106.0 | 100.0% | |
| 5 | 100 | 82 | 0 | 57.4% | 60.0% | 50.0% | 100.0 | 100.0% | |
| 6 | 99 | 82 | 0 | 59.2% | 65.0% | 50.0% | 99.0 | 100.0% | |
| 7 | 98 | 82 | 0 | 55.2% | 50.0% | 50.0% | 98.0 | 100.0% | |
| 8 | 98 | 82 | 0 | 57.6% | 70.0% | 50.0% | 98.0 | 100.0% | |
| 9 | 95 | 82 | 0 | 60.2% | 80.0% | 50.0% | 95.0 | 0.0% | |
| 10 | 92 | 82 | 0 | 46.1% | 30.0% | 50.0% | 92.0 | 0.0% | |
| 11 | 92 | 82 | 0 | 46.8% | 25.0% | 50.0% | 92.0 | 0.0% | |
| 12 | 91 | 82 | 0 | 46.8% | 30.0% | 50.0% | 91.0 | 0.0% | |
Team Strength Metrics
| Overall Strength | Home Strength | Away Strength | Pythagorean Win % | Recent Form |
|---|---|---|---|---|
| 55.2% | 54.9% | 57.1% | 54.4% | 50.0% |
Player Statistics
| # | Player | Pos | GP | G | A | PTS | +/- | SOG | HIT | BLK | TOI | Performance |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 87 | Sidney Crosby | C | 68 | 29 | 45 | 74 | 0 | 0 | 60 | 30 | 19:13 | |
| 65 | Erik Karlsson | D | 75 | 15 | 51 | 66 | +8 | 0 | 20 | 64 | 23:36 | |
| 17 | Bryan Rust | R | 72 | 29 | 36 | 65 | 0 | 0 | 35 | 71 | 19:56 | |
| 39 | Anthony Mantha | R | 81 | 33 | 31 | 64 | +11 | 0 | 52 | 40 | 15:10 | |
| 71 | Evgeni Malkin | C | 56 | 19 | 42 | 61 | +13 | 0 | 24 | 17 | 17:35 | |
| 67 | Rickard Rakell | R | 60 | 24 | 24 | 48 | -2 | 0 | 71 | 44 | 18:56 | |
| 18 | Tommy Novak | C | 82 | 16 | 26 | 42 | +2 | 0 | 12 | 34 | 14:16 | |
| 59 | Egor Chinakhov | R | 43 | 18 | 18 | 36 | +4 | 0 | 21 | 23 | 15:36 | |
| 81 | Ben Kindel | C | 77 | 17 | 18 | 35 | -4 | 0 | 30 | 57 | 15:03 | |
| 5 | Ryan Shea | D | 80 | 6 | 29 | 35 | +30 | 0 | 38 | 91 | 18:53 | |
| 16 | Justin Brazeau | R | 64 | 17 | 17 | 34 | +5 | 0 | 90 | 44 | 12:39 | |
| 58 | Kris Letang | D | 74 | 3 | 31 | 34 | -3 | 0 | 95 | 93 | 21:40 | |
| 19 | Connor Dewar | C | 78 | 14 | 16 | 30 | +17 | 0 | 144 | 46 | 13:55 | |
| 28 | Parker Wotherspoon | D | 80 | 3 | 27 | 30 | +17 | 0 | 162 | 113 | 20:10 | |
| 55 | Noel Acciari | C | 67 | 13 | 12 | 25 | +14 | 0 | 65 | 62 | 13:42 | |
| 46 | Blake Lizotte | C | 55 | 7 | 12 | 19 | +6 | 0 | 49 | 35 | 13:52 | |
| 25 | Elmer Soderblom ← DET | L | 20 | 5 | 5 | 10 | +3 | 0 | 35 | 7 | 11:57 | |
| 13 | Kevin Hayes | R | 28 | 4 | 4 | 8 | -1 | 0 | 32 | 10 | 12:28 | |
| 41 | Ville Koivunen | R | 39 | 2 | 5 | 7 | -10 | 0 | 5 | 14 | 12:44 | |
| 27 | Brett Kulak → COL | D | 25 | 1 | 6 | 7 | +2 | 0 | 5 | 39 | 20:19 | |
| 49 | Samuel Girard ← COL | D | 20 | 0 | 7 | 7 | +5 | 0 | 6 | 21 | 18:55 | |
| 3 | Jack St. Ivany | D | 20 | 0 | 7 | 7 | +4 | 0 | 48 | 24 | 16:19 | |
| 2 | Rutger McGroarty | R | 24 | 3 | 3 | 6 | -3 | 0 | 26 | 8 | 11:57 | |
| 75 | Connor Clifton | D | 50 | 2 | 4 | 6 | +5 | 0 | 180 | 83 | 16:45 | |
| 85 | Avery Hayes | R | 16 | 5 | 0 | 5 | -4 | 0 | 23 | 9 | 11:10 | |
| 7 | Ilya Solovyov | D | 14 | 0 | 5 | 5 | +1 | 0 | 16 | 14 | 14:05 | |
| 11 | Filip Hallander | C | 13 | 1 | 3 | 4 | +4 | 0 | 3 | 5 | 13:08 | |
| 43 | Danton Heinen → CBJ | L | 13 | 1 | 1 | 2 | +1 | 0 | 16 | 10 | 11:40 | |
| 45 | Harrison Brunicke | D | 9 | 1 | 0 | 1 | -4 | 0 | 4 | 13 | 15:42 | |
| 82 | Caleb Jones | D | 7 | 0 | 1 | 1 | +1 | 0 | 10 | 15 | 17:10 | |
| 48 | Rafael Harvey-Pinard | L | 1 | 0 | 0 | 0 | +1 | 0 | 0 | 0 | 11:01 | |
| 15 | Joona Koppanen | L | 3 | 0 | 0 | 0 | -1 | 0 | 2 | 0 | 11:02 | |
| 57 | Jake Livanavage | D | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 25:14 | |
| 27 | Ryan Graves | D | 5 | 0 | 0 | 0 | +1 | 0 | 10 | 7 | 15:14 |
Recent Games (Last 10)
| Date | Opponent | Location | Score | Result | Opp Strength | Playoff Impact |
|---|---|---|---|---|---|---|
| Apr 29 | Philadelphia Flyers | Away | 1 - 0 (OT) | OTL | 57.6% | - |
| Apr 27 | Philadelphia Flyers | Home | 3 - 2 | W | 57.6% | - |
| Apr 25 | Philadelphia Flyers | Away | 2 - 4 | W | 57.6% | - |
| Apr 22 | Philadelphia Flyers | Away | 5 - 2 | L | 57.6% | - |
| Apr 20 | Philadelphia Flyers | Home | 0 - 3 | L | 57.6% | - |
| Apr 18 | Philadelphia Flyers | Home | 2 - 3 | L | 57.6% | - |
| Apr 14 | St. Louis Blues | Away | 7 - 5 | L | 51.0% | 0.0% |
| Apr 12 | Washington Capitals | Away | 3 - 0 | L | 60.2% | 0.0% |
| Apr 11 | Washington Capitals | Home | 3 - 6 | L | 60.2% | 0.0% |
| Apr 09 | New Jersey Devils | Away | 2 - 5 | W | 49.4% | +0.1% |
Upcoming Games
| Date | Opponent | Location | Opp Strength | Exp Pts | Playoff Swing | Predicted Winner |
|---|---|---|---|---|---|---|
| May 02, 12:00 | vs Philadelphia Flyers | Home | 57.6% | 1.10 | - | PHI (52%) |
| Averages (Next 1 games): | 1.1 pts | — | ||||
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.