Columbus Blue Jackets ELIMINATED
Metropolitan Division, Eastern Conference
Current Standings
| GP | W | L | OTL | PTS | GF | GA | DIFF | PTS % | Last 10 |
|---|---|---|---|---|---|---|---|---|---|
| 82 | 40 | 30 | 12 | 92 | 253 | 253 | 0 | 56.1% |
|
Playoff Probabilities
Based on 100,000 simulations run on Apr 17, 2026
Likely First-Round Opponents
| Opponent | Probability | Likelihood |
|---|---|---|
Pittsburgh Penguins
|
15.9% |
Probabilities sum to 0.0% (= playoff probability). Remaining 100.0% = miss playoffs.
Analysis
Summary
The Columbus Blue Jackets have been mathematically eliminated from playoff contention, sitting at 92 points with one game remaining and a 0.0% playoff probability. Even with a win in their finale, they can reach only 94 points, well short of the projected 97-point cutoff in the Eastern Conference. The late +1.7% bump in odds reflects improved play, but it came too late to change their fate.
Record and Recent Performance
Columbus enters Game 82 with a 40-29-12 record, good for a 56.8% points percentage and a razor-thin +1 goal differential (252 goals for, 251 against). That profile reflects a team that has been competitive but not dominant, which is echoed in their 47.1% overall team strength rating, including 49.8% at home and just 43.5% on the road. Their recent form rating of 25.0% suggests a late-season dip, and over a long season those marginal edges — particularly defensively — have kept them hovering around the bubble rather than climbing above it.
The Competition
The race ahead of them has effectively sealed their fate. Philadelphia holds the final playoff spot at 96 points and is projected to finish at 97.0, while Ottawa (97), Boston (98), Pittsburgh (98), and Montreal (106) are already locked in at 100% playoff odds. Even Washington, one spot ahead of Columbus, sits at 93 points and has been eliminated despite a stronger 58.0% team strength rating. With Detroit also at 92 and the Islanders at 91, the Blue Jackets are stuck in a cluster of teams that simply ran out of runway, unable to overtake a Flyers team that created just enough separation.
Remaining Schedule
There is just one game left, at home, but it comes against a tough opponent with a 58.0% strength rating, well above the league average of 52.8%, making it a difficult matchup. The model projects 1.1 points from that contest, bringing Columbus to a projected final total of 93.1 points. Even outperforming that projection and earning two points would leave them at 94, still three points shy of the 97-point projected cutoff, underscoring how decisive the earlier missed opportunities were.
Outlook
The Blue Jackets’ season will end short of the playoffs, not because they were far off, but because they were just good rather than clearly better than the teams around them. A +1 goal differential and sub-50% strength rating point to a team that needs incremental improvement rather than a full rebuild. With a handful of tighter defensive performances or a slightly better road record, Columbus could have flipped this outcome — and that thin margin will define their offseason priorities.
Bandwagon Options
Your team's playoff hopes are fading — here are some teams worth cheering for:
Colorado Avalanche
Central · Western| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 55 | 16 | 11 | 121 | +99 | 69.3% | 100.0% | 0.0% |
If you want to watch a true powerhouse, Colorado is the easy sell. The Avalanche play fast, aggressive, skill-heavy hockey, and stars like Nathan MacKinnon and Cale Makar can take over a series in a heartbeat. It’s stress-free, high-end Western Conference hockey with legitimate Cup expectations.
Dallas Stars
Central · Western| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 50 | 20 | 12 | 112 | +53 | 65.7% | 100.0% | 0.0% |
Dallas offers a great mix of structure and star power. They can beat you with depth scoring, strong goaltending, and elite talent up front, which makes them feel steady but still dangerous. If you’re looking for a balanced contender that doesn’t share any Metro baggage, the Stars are a clean bandwagon pick.
Edmonton Oilers
Pacific · Western| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 41 | 30 | 11 | 93 | +13 | 57.2% | 100.0% | 0.0% |
Connor McDavid in the playoffs is reason enough. Edmonton games tend to be chaotic, high-event, and loaded with highlight-reel moments, which is a fun change of pace if you’ve watched a lot of tight Metro hockey. They’re flawed enough to be dramatic but talented enough to go on a run.
Buffalo Sabres
Atlantic · Eastern| W | L | OTL | PTS | Diff | Str | Playoff | Cup |
|---|---|---|---|---|---|---|---|
| 50 | 23 | 9 | 109 | +47 | 62.3% | 100.0% | 0.0% |
If you’d rather stick in the East without cheering a Metro rival, Buffalo is a fun, up-and-coming option. The Sabres play an up-tempo style and have built an exciting young core that feels a bit like what Jackets fans hope to see in Columbus. There’s something appealing about riding with a team that’s hungry and still writing its story.
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.
Points Distribution vs. Cutline
Projected to finish with 92–92 points (middle 50%). The playoff cutline is typically 98–98 points. Finishes above the cutline in 0.0% 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 |
|---|---|---|---|---|
| 46.8% | 48.9% | 43.7% | 50.0% | 25.0% |
Player Statistics
| # | Player | Pos | GP | G | A | PTS | +/- | SOG | HIT | BLK | TOI | Performance |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8 | Zach Werenski | D | 75 | 22 | 58 | 80 | +7 | 0 | 30 | 93 | 26:36 | |
| 86 | Kirill Marchenko | R | 76 | 27 | 40 | 67 | +7 | 0 | 61 | 40 | 18:56 | |
| 19 | Adam Fantilli | C | 82 | 24 | 34 | 58 | -13 | 0 | 139 | 50 | 18:54 | |
| 3 | Charlie Coyle | C | 82 | 20 | 38 | 58 | +4 | 0 | 111 | 53 | 18:05 | |
| 38 | Boone Jenner | C | 67 | 13 | 25 | 38 | +3 | 0 | 147 | 66 | 16:04 | |
| 23 | Sean Monahan | C | 78 | 13 | 23 | 36 | -1 | 0 | 46 | 34 | 17:07 | |
| 4 | Cole Sillinger | C | 81 | 8 | 25 | 33 | +3 | 0 | 112 | 44 | 15:13 | |
| 10 | Dmitri Voronkov | L | 63 | 17 | 15 | 32 | -1 | 0 | 105 | 27 | 13:56 | |
| 17 | Mason Marchment | L | 39 | 15 | 17 | 32 | +21 | 0 | 46 | 18 | 17:41 | |
| 78 | Damon Severson | D | 71 | 8 | 24 | 32 | +18 | 0 | 39 | 86 | 21:04 | |
| 5 | Denton Mateychuk | D | 75 | 13 | 18 | 31 | +13 | 0 | 26 | 92 | 19:11 | |
| 9 | Ivan Provorov | D | 82 | 9 | 22 | 31 | +15 | 0 | 28 | 134 | 24:48 | |
| 24 | Mathieu Olivier | R | 61 | 15 | 11 | 26 | +14 | 0 | 209 | 42 | 14:13 | |
| 91 | Kent Johnson | C | 76 | 7 | 15 | 22 | -8 | 0 | 15 | 38 | 13:14 | |
| 11 | Miles Wood | L | 54 | 8 | 6 | 14 | -10 | 0 | 63 | 18 | 11:51 | |
| 21 | Isac Lundeström | C | 68 | 4 | 8 | 12 | -2 | 0 | 35 | 35 | 12:23 | |
| 15 | Dante Fabbro | D | 74 | 5 | 6 | 11 | -16 | 0 | 65 | 120 | 16:33 | |
| 43 | Danton Heinen | L | 33 | 5 | 5 | 10 | +5 | 0 | 38 | 14 | 11:12 | |
| 83 | Conor Garland ← VAN | R | 21 | 5 | 2 | 7 | -6 | 0 | 14 | 4 | 13:01 | |
| 59 | Egor Chinakhov → PIT | R | 29 | 3 | 3 | 6 | -6 | 0 | 28 | 8 | 10:18 | |
| 16 | Brendan Gaunce | C | 25 | 2 | 4 | 6 | -1 | 0 | 44 | 21 | 11:54 | |
| 27 | Zachary Aston-Reese | L | 27 | 1 | 4 | 5 | -1 | 0 | 78 | 17 | 9:44 | |
| 44 | Erik Gudbranson | D | 37 | 1 | 2 | 3 | +7 | 0 | 45 | 64 | 17:45 | |
| 2 | Jake Christiansen | D | 40 | 0 | 3 | 3 | -7 | 0 | 30 | 24 | 10:02 | |
| 7 | Brendan Smith | D | 15 | 0 | 2 | 2 | -1 | 0 | 12 | 11 | 11:04 | |
| 6 | Egor Zamula | D | 20 | 0 | 2 | 2 | +2 | 0 | 5 | 25 | 12:26 | |
| 37 | Dysin Mayo | D | 3 | 0 | 1 | 1 | +1 | 0 | 0 | 1 | 8:24 | |
| 65 | Luca Del Bel Belluz | C | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 13:18 |
Recent Games (Last 10)
| Date | Opponent | Location | Score | Result | Opp Strength | Playoff Impact |
|---|---|---|---|---|---|---|
| Apr 14 | Washington Capitals | Home | 1 - 2 | L | 60.2% | 0.0% |
| Apr 12 | Boston Bruins | Home | 2 - 3 | L | 57.4% | -15.6% |
| Apr 11 | Montréal Canadiens | Away | 2 - 5 | W | 60.9% | +14.2% |
| Apr 09 | Buffalo Sabres | Away | 5 - 0 | L | 62.3% | -11.4% |
| Apr 07 | Detroit Red Wings | Away | 3 - 4 (OT) | W | 46.1% | +12.6% |
| Apr 04 | Winnipeg Jets | Home | 1 - 2 | L | 47.1% | -14.5% |
| Apr 02 | Carolina Hurricanes | Away | 5 - 1 | L | 65.8% | -10.8% |
| Mar 31 | Carolina Hurricanes | Home | 2 - 5 | L | 65.8% | -11.8% |
| Mar 29 | Boston Bruins | Home | 3 - 4 (OT) | OTL | 57.4% | -13.1% |
| Mar 28 | San Jose Sharks | Home | 2 - 3 | L | 48.0% | -11.5% |