Pacific Division, Western Conference
| GP | W | L | OTL | PTS | GF | GA | DIFF | PTS % | Last 10 |
|---|---|---|---|---|---|---|---|---|---|
| 76 | 31 | 26 | 19 | 81 | 208 | 234 | -26 | 53.3% |
|
Based on 100,000 simulations run on Apr 07, 2026
| Opponent | Probability | Likelihood |
|---|---|---|
|
|
23.6% | |
|
|
4.6% | |
|
|
4.2% | |
|
|
3.6% |
Probabilities sum to 36.7% (= playoff probability). Remaining 63.3% = miss playoffs.
The Los Angeles Kings are on the outside looking in with a 35.8% playoff probability, but a recent surge has boosted their odds by 11.6%. At 81 points with six games left, they’re projected right around the 88-point cutoff, meaning their postseason hopes will likely come down to the final week.
Los Angeles sits at 31-26-19 (81 points in 76 games), good for a 53.3% points percentage, but their -26 goal differential (208 scored, 234 allowed) reflects a team that has struggled to control play consistently. Their overall team strength rating of 50.1% paints them as roughly league average, though there’s a stark split between a poor 42.1% home strength and a much stronger 57.8% mark on the road. Encouragingly, their recent form is trending up at 60.0%, suggesting they’ve found better structure or goaltending at a critical time. If that form holds, they can outperform their season-long profile.
The Kings are chasing Nashville (81 points, 43.9% playoff odds) for the final wild-card spot, with both teams projected around 88 points. Ahead of them, Edmonton, Anaheim, Utah, and Vegas are all projected above 92 points and carry playoff odds north of 95%, making it unrealistic for L.A. to catch that tier. Behind them, San Jose (79 points, 21.9%) is the biggest threat, especially with a game in hand, while Winnipeg and St. Louis would need near-perfect finishes. Realistically, this is a three-team race between Nashville, Los Angeles, and San Jose for one spot.
The Kings have six games left, split evenly between home and road, with a balanced schedule and an opponent strength of just 43.3%, well below the league average of 52.9%. That makes this one of the easier closing slates among bubble teams. They’re projected to earn 7.1 more points, which would land them at 88.1 points—essentially right on the projected cutoff. Given their stronger road profile and manageable opponents, a 4-2-0 or equivalent finish may be enough, but anything less than seven points likely leaves them short.
The path is narrow but clear: beat the teams in front of you and get to at least 88 points. With improving form and a favorable schedule, the Kings have a legitimate shot, but they don’t control their destiny entirely and probably need Nashville or San Jose to stumble. It’s a coin-flip race heading into the final stretch, and Los Angeles has left itself no margin for error.
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 36.7% 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 87–90 points (middle 50%). The playoff cutline is typically 88–90 points. Finishes above the cutline in 50.7% of simulations.
| # | 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% | |
| Game | Impact | |
|---|---|---|
| LAK vs NSH | LAK playing |
LAK win:
+19.8%
NSH win:
-16.6%
|
| SJS vs CHI |
SJS win:
-2.7%
CHI win:
+3.4%
|
|
| LIVE WPG vs SEA |
WPG win:
-0.8%
SEA win:
+1.1%
|
| Result | Impact | |
|---|---|---|
| COL 2 - STL 3 |
-0.9%
|
|
| Net: | -0.9% | |
| Overall Strength | Home Strength | Away Strength | Pythagorean Win % | Recent Form |
|---|---|---|---|---|
| 50.1% | 42.1% | 57.8% | 44.1% | 60.0% |
| # | Player | Pos | GP | G | A | PTS | +/- | SOG | HIT | BLK | TOI | Performance |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | Adrian Kempe | R | 75 | 32 | 37 | 69 | +12 | 0 | 122 | 38 | 19:19 | |
| 55 | Quinton Byfield | R | 73 | 20 | 24 | 44 | -6 | 0 | 60 | 40 | 20:00 | |
| 22 | Kevin Fiala | L | 56 | 18 | 22 | 40 | -11 | 0 | 39 | 23 | 19:07 | |
| 92 | Brandt Clarke | D | 76 | 8 | 31 | 39 | +7 | 0 | 29 | 160 | 19:46 | |
| 14 | Alex Laferriere | R | 76 | 19 | 18 | 37 | -1 | 0 | 234 | 48 | 18:07 | |
| 11 | Anze Kopitar | C | 61 | 12 | 24 | 36 | +17 | 0 | 31 | 56 | 19:01 | |
| 10 | Corey Perry → TBL | R | 50 | 11 | 17 | 28 | -1 | 0 | 20 | 17 | 14:17 | |
| 12 | Trevor Moore | L | 63 | 11 | 16 | 27 | -5 | 0 | 54 | 32 | 16:34 | |
| 96 | Andrei Kuzmenko | L | 52 | 13 | 12 | 25 | -4 | 0 | 18 | 14 | 14:54 | |
| 40 | Joel Armia | R | 61 | 11 | 12 | 23 | 0 | 0 | 69 | 36 | 14:05 | |
| 10 | Artemi Panarin | L | 20 | 8 | 15 | 23 | +8 | 0 | 3 | 4 | 20:59 | |
| 8 | Drew Doughty | D | 66 | 5 | 17 | 22 | +1 | 0 | 45 | 70 | 23:05 | |
| 6 | Joel Edmundson | D | 76 | 2 | 19 | 21 | +10 | 0 | 92 | 102 | 18:26 | |
| 44 | Mikey Anderson | D | 74 | 4 | 15 | 19 | +4 | 0 | 104 | 121 | 20:25 | |
| 2 | Brian Dumoulin | D | 76 | 2 | 15 | 17 | +1 | 0 | 35 | 83 | 17:49 | |
| 15 | Alex Turcotte | C | 62 | 3 | 11 | 14 | -8 | 0 | 51 | 34 | 10:49 | |
| 37 | Warren Foegele → OTT | L | 47 | 7 | 2 | 9 | -6 | 0 | 49 | 10 | 14:45 | |
| 79 | Samuel Helenius | C | 47 | 5 | 4 | 9 | -5 | 0 | 134 | 16 | 8:06 | |
| 39 | Jeff Malott | L | 56 | 3 | 6 | 9 | -8 | 0 | 163 | 27 | 8:50 | |
| 5 | Cody Ceci | D | 76 | 1 | 8 | 9 | -9 | 0 | 33 | 103 | 17:29 | |
| 52 | Taylor Ward | R | 30 | 3 | 4 | 7 | +1 | 0 | 35 | 8 | 9:50 | |
| 21 | Scott Laughton ← TOR | C | 15 | 4 | 2 | 6 | -2 | 0 | 35 | 10 | 16:07 | |
| 24 | Phillip Danault → MTL | C | 30 | 0 | 5 | 5 | +3 | 0 | 22 | 11 | 16:19 | |
| 53 | Jared Wright | R | 17 | 0 | 3 | 3 | 0 | 0 | 19 | 15 | 11:06 | |
| 81 | Angus Booth | D | 1 | 1 | 0 | 1 | +1 | 0 | 2 | 1 | 12:18 | |
| 47 | Andre Lee | L | 4 | 0 | 1 | 1 | -2 | 0 | 12 | 2 | 11:05 | |
| 34 | Kenny Connors | C | 2 | 0 | 0 | 0 | -1 | 0 | 3 | 1 | 8:39 | |
| 17 | Mathieu Joseph ← STL | R | 8 | 0 | 0 | 0 | 0 | 0 | 21 | 2 | 10:49 | |
| 43 | Jacob Moverare | D | 15 | 0 | 0 | 0 | -4 | 0 | 3 | 12 | 8:46 |
| Date | Opponent | Location | Score | Result | Opp Strength | Playoff Impact |
|---|---|---|---|---|---|---|
| Apr 04 | Toronto Maple Leafs | Home | 7 - 6 (OT) | W | 47.0% | +9.6% |
| Apr 02 | Nashville Predators | Home | 4 - 5 (OT) | OTL | 52.7% | -12.2% |
| Apr 01 | St. Louis Blues | Home | 2 - 1 (OT) | W | 50.7% | +9.5% |
| Mar 28 | Utah Mammoth | Home | 2 - 6 | L | 57.2% | -10.1% |
| Mar 26 | Vancouver Canucks | Away | 0 - 4 | W | 30.1% | +6.1% |
| Mar 24 | Calgary Flames | Away | 3 - 2 (OT) | OTL | 47.3% | -9.4% |
| Mar 22 | Utah Mammoth | Away | 4 - 3 (OT) | OTL | 57.2% | -8.8% |
| Mar 21 | Buffalo Sabres | Home | 1 - 4 | L | 60.0% | -6.8% |
| Mar 19 | Philadelphia Flyers | Home | 3 - 4 (OT) | OTL | 56.2% | -7.2% |
| Mar 16 | New York Rangers | Away | 1 - 4 | W | 49.5% | +6.1% |
| Date | Opponent | Location | Opp Strength | Exp Pts | Playoff Swing | Predicted Winner |
|---|---|---|---|---|---|---|
| Apr 06, 22:30 | vs Nashville Predators | Home | 52.7% | 1.06 | 36.5% | NSH (54%) |
| Apr 09, 22:30 | vs Vancouver Canucks | Home | 30.1% | 1.17 | - | LAK (52%) |
| Apr 11, 16:00 | vs Edmonton Oilers | Home | 56.7% | 1.03 | - | EDM (56%) |
| Apr 13, 21:30 | @ Seattle Kraken | Away | 43.0% | 1.23 | - | LAK (56%) |
| Apr 14, 22:00 | @ Vancouver Canucks | Away | 30.1% | 1.47 | - | LAK (70%) |
| Apr 16, 21:00 | @ Calgary Flames | Away | 47.3% | 1.11 | - | CGY (51%) |
| Averages (Next 6 games): | 7.1 pts | 11.1% | ||||
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.