San Jose Sharks
Pacific Division, Western Conference
Current Standings
| GP | W | L | OTL | PTS | GF | GA | DIFF | PTS % | Last 10 |
|---|---|---|---|---|---|---|---|---|---|
| 75 | 36 | 32 | 7 | 79 | 231 | 267 | -36 | 52.7% |
|
Playoff Probabilities
Based on 100,000 simulations run on Apr 07, 2026
Likely First-Round Opponents
| Opponent | Probability | Likelihood |
|---|---|---|
Colorado Avalanche
|
13.8% | |
Vegas Golden Knights
|
2.8% | |
Edmonton Oilers
|
2.7% | |
Anaheim Ducks
|
2.6% |
Probabilities sum to 22.6% (= playoff probability). Remaining 77.4% = miss playoffs.
Analysis
Summary
The San Jose Sharks enter the final stretch with a 21.9% chance of making the playoffs, a sharp 23.4-point drop that reflects how quickly the race has tightened. At 79 points through 75 games, they sit three points behind the current cutline and are projected to fall just short at 86.7 points. The margin for error is essentially gone.
Record and Recent Performance
San Jose’s 36-32-7 record translates to a 52.7% points percentage, which is bubble-level but not comfortably in the field. Their -36 goal differential (231 goals for, 267 against) is a major red flag, suggesting they’ve been outplayed at five-on-five over the long haul, and their 46.2% overall strength rating backs that up. They’ve been middling at home (50.6%) and significantly weaker on the road (40.5%), and their recent form rating of 45.0% indicates they’re not trending upward at the moment. For a team needing a late push, the underlying profile doesn’t scream surge.
The Competition
The real issue is the traffic ahead of them. Edmonton, Anaheim, Utah, and Vegas are clustered between 86 and 87 points and are all projected to finish around 92–93 points with playoff odds north of 95%, effectively out of reach. That leaves Nashville (81 points, projected 87.9) and Los Angeles (81 points, projected 88.1) as the realistic targets around the cutline. San Jose trails both by two points but has a game in hand, while Winnipeg (78 points) and St. Louis (76 points) lurk behind with minimal odds. To climb in, the Sharks likely need to leapfrog at least two of Nashville and Los Angeles while holding off Winnipeg and St. Louis, which is possible but requires sustained winning.
Remaining Schedule
There are seven games left, three at home and four on the road, and the schedule is road-heavy — not ideal given their 40.5% road strength. The good news is the opposition projects at just 46.1% strength, well below the league average of 52.9%, giving San Jose one of the easier closing slates in the conference. Models give them 7.7 expected points the rest of the way, landing them at 86.7 overall, short of the projected 88.1-point cutoff. Realistically, they probably need at least nine points — something like 4-2-1 or better — to push into the high-80s and give themselves a real shot.
Outlook
The Sharks are alive, but they need both a heater and some help. With a soft schedule and a game in hand on key rivals, the path exists, yet their negative goal differential and shaky road play make it a steep climb. At roughly one-in-five odds, San Jose’s playoff hopes hinge on turning these final seven games into their best stretch of the season.
Bandwagon Options
Your team's playoff hopes are fading — here are some teams worth cheering for:
Carolina Hurricanes
Metropolitan · Eastern| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 49 | 22 | 6 | 104 | +47 | 63.9% | 100.0% | 9.3% |
Carolina is a relentless, deep team that rolls four lines and suffocates opponents with speed and structure. If you’ve been craving disciplined, playoff-ready hockey after a rocky Sharks season, the Hurricanes deliver it every night — and they’ve got the goaltending and blue-line depth to make a real run.
Tampa Bay Lightning
Atlantic · Eastern| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 48 | 22 | 6 | 102 | +66 | 67.8% | 100.0% | 10.8% |
Tampa Bay blends star power and big-game experience as well as anyone. With elite scoring talent and a track record of rising in the postseason, they’re an easy bandwagon if you want high-skill offense and the feeling that every game could swing on one highlight-reel play.
Buffalo Sabres
Atlantic · Eastern| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 46 | 23 | 8 | 100 | +35 | 60.0% | 100.0% | 5.6% |
Buffalo is the fun pick — a high-energy, attack-minded team that’s easy to get behind. They’ve built an exciting young core that plays fast and isn’t afraid to trade chances, which makes for chaotic, entertaining playoff hockey.
Colorado Avalanche
Central · Western| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 50 | 16 | 10 | 110 | +91 | 68.8% | 100.0% | 12.3% |
Colorado is a Western powerhouse without being a Sharks division rival, so you can jump on without too much guilt. Their speed through the neutral zone and game-breaking talent make them appointment viewing, and they’re built to overwhelm teams in a seven-game series.
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 22.6% 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 85–88 points (middle 50%). The playoff cutline is typically 88–90 points. Finishes above the cutline in 27.7% of simulations.
Team Projection
Playoff Cutline
Playoff Race — Western Conference
| # | Team | PTS | GP | Left | STR | L10 | SOS | Proj PTS | Playoff % |
|---|---|---|---|---|---|---|---|---|---|
| 4 | 87 | 77 | 5 | 56.7% | 70.0% | 50.5% | 92.8 | 98.4% | |
| 5 | 87 | 77 | 5 | 50.6% | 50.0% | 48.3% | 92.8 | 96.7% | |
| 6 | 86 | 76 | 6 | 57.2% | 60.0% | 53.6% | 93.1 | 98.3% | |
| 7 | 86 | 77 | 5 | 52.5% | 50.0% | 47.1% | 92.0 | 96.2% | |
| 8 | 81 | 76 | 6 | 52.7% | 70.0% | 52.4% | 87.9 | 44.3% | |
| 9 | 81 | 76 | 6 | 50.1% | 60.0% | 43.3% | 88.1 | 36.7% | |
| 10 | 79 | 75 | 7 | 46.2% | 45.0% | 46.1% | 86.7 | 22.6% | |
| 11 | 78 | 76 | 6 | 50.7% | 70.0% | 55.9% | 84.7 | 5.6% | |
| 12 | 78 | 76 | 6 | 50.5% | 60.0% | 52.6% | 83.5 | 1.1% | |
Today's Impact
| Game | Impact | |
|---|---|---|
| SJS vs CHI | SJS playing |
SJS win:
+7.8%
CHI win:
-9.8%
|
Yesterday's Impact
| Result | Impact | |
|---|---|---|
| COL 2 - STL 3 |
-0.5%
|
|
| Net: | -0.5% | |
Team Strength Metrics
| Overall Strength | Home Strength | Away Strength | Pythagorean Win % | Recent Form |
|---|---|---|---|---|
| 46.2% | 50.6% | 40.5% | 42.8% | 45.0% |
Player Statistics
| # | Player | Pos | GP | G | A | PTS | +/- | SOG | HIT | BLK | TOI | Performance |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 71 | Macklin Celebrini | C | 74 | 41 | 64 | 105 | +6 | 0 | 46 | 47 | 21:22 | |
| 2 | Will Smith | C | 61 | 22 | 32 | 54 | 0 | 0 | 11 | 10 | 18:10 | |
| 21 | Alexander Wennberg | C | 73 | 18 | 34 | 52 | -23 | 0 | 27 | 87 | 20:27 | |
| 73 | Tyler Toffoli | C | 73 | 18 | 29 | 47 | -10 | 0 | 48 | 29 | 15:08 | |
| 72 | William Eklund | L | 70 | 13 | 32 | 45 | -31 | 0 | 63 | 49 | 18:41 | |
| 51 | Collin Graf | R | 73 | 20 | 23 | 43 | +6 | 0 | 76 | 47 | 16:27 | |
| 9 | Dmitry Orlov | D | 74 | 2 | 31 | 33 | -27 | 0 | 114 | 69 | 21:15 | |
| 81 | Adam Gaudette | R | 61 | 17 | 8 | 25 | -6 | 0 | 49 | 32 | 11:34 | |
| 3 | John Klingberg | D | 53 | 10 | 14 | 24 | -18 | 0 | 45 | 61 | 20:34 | |
| 38 | Mario Ferraro | D | 74 | 6 | 15 | 21 | 0 | 0 | 121 | 136 | 20:54 | |
| 96 | Philipp Kurashev | C | 41 | 7 | 13 | 20 | 0 | 0 | 39 | 11 | 15:39 | |
| 77 | Michael Misa | C | 37 | 7 | 10 | 17 | -1 | 0 | 13 | 17 | 12:41 | |
| 92 | Igor Chernyshov | L | 22 | 5 | 9 | 14 | +1 | 0 | 14 | 8 | 15:07 | |
| 53 | Jeff Skinner | L | 32 | 6 | 7 | 13 | -8 | 0 | 17 | 11 | 12:20 | |
| 6 | Sam Dickinson | D | 64 | 1 | 12 | 13 | +1 | 0 | 64 | 63 | 16:42 | |
| 23 | Barclay Goodrow | C | 74 | 5 | 7 | 12 | -15 | 0 | 123 | 55 | 11:21 | |
| 85 | Shakir Mukhamadullin | D | 43 | 4 | 7 | 11 | -4 | 0 | 28 | 57 | 16:52 | |
| 10 | Ty Dellandrea | C | 43 | 2 | 9 | 11 | -16 | 0 | 123 | 37 | 14:17 | |
| 27 | Timothy Liljegren → WSH | D | 43 | 1 | 10 | 11 | -7 | 0 | 36 | 83 | 20:07 | |
| 84 | Pavol Regenda | L | 22 | 9 | 1 | 10 | -1 | 0 | 52 | 6 | 13:37 | |
| 44 | Kiefer Sherwood | L | 20 | 4 | 4 | 8 | -9 | 0 | 90 | 7 | 16:47 | |
| 63 | Zack Ostapchuk | C | 51 | 4 | 3 | 7 | -8 | 0 | 121 | 27 | 9:59 | |
| 5 | Vincent Desharnais | D | 47 | 1 | 6 | 7 | +4 | 0 | 89 | 77 | 17:47 | |
| 4 | Nick Leddy | D | 27 | 1 | 6 | 7 | -4 | 0 | 7 | 38 | 18:02 | |
| 75 | Ryan Reaves | R | 49 | 3 | 0 | 3 | -12 | 0 | 160 | 15 | 7:57 | |
| 6 | Vincent Iorio | D | 21 | 0 | 3 | 3 | -4 | 0 | 11 | 32 | 16:29 | |
| 54 | Patrick Giles | R | 3 | 0 | 1 | 1 | +1 | 0 | 3 | 2 | 8:52 |
Recent Games (Last 10)
| Date | Opponent | Location | Score | Result | Opp Strength | Playoff Impact |
|---|---|---|---|---|---|---|
| Apr 04 | Nashville Predators | Home | 3 - 6 | L | 52.7% | -16.7% |
| Apr 02 | Toronto Maple Leafs | Home | 4 - 1 | W | 47.0% | +9.4% |
| Apr 01 | Anaheim Ducks | Home | 4 - 3 | W | 50.6% | +8.6% |
| Mar 30 | St. Louis Blues | Home | 5 - 4 | W | 50.7% | +7.5% |
| Mar 28 | Columbus Blue Jackets | Away | 2 - 3 | W | 49.5% | +5.7% |
| Mar 26 | St. Louis Blues | Away | 2 - 1 (OT) | OTL | 50.7% | -3.4% |
| Mar 24 | Nashville Predators | Away | 6 - 3 | L | 52.7% | -6.5% |
| Mar 21 | Philadelphia Flyers | Home | 1 - 4 | L | 56.2% | -7.7% |
| Mar 19 | Buffalo Sabres | Home | 0 - 5 | L | 60.0% | -8.1% |
| Mar 17 | Edmonton Oilers | Away | 5 - 3 | L | 56.7% | -8.5% |
Upcoming Games
| Date | Opponent | Location | Opp Strength | Exp Pts | Playoff Swing | Predicted Winner |
|---|---|---|---|---|---|---|
| Apr 06, 22:00 | vs Chicago Blackhawks | Home | 40.9% | 1.22 | 17.6% | SJS (56%) |
| Apr 08, 22:00 | vs Edmonton Oilers | Home | 56.7% | 1.11 | 18.6% | EDM (51%) |
| Apr 09, 22:00 | @ Anaheim Ducks | Away | 50.6% | 0.97 | - | ANA (59%) |
| Apr 11, 22:00 | vs Vancouver Canucks | Home | 30.1% | 1.25 | - | SJS (57%) |
| Apr 13, 20:00 | @ Nashville Predators | Away | 52.7% | 0.98 | - | NSH (58%) |
| Apr 15, 20:30 | @ Chicago Blackhawks | Away | 40.9% | 1.14 | - | SJS (51%) |
| Apr 16, 20:00 | @ Winnipeg Jets | Away | 50.5% | 1.00 | - | WPG (57%) |
| Averages (Next 7 games): | 7.7 pts | 8.9% | ||||
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.