Los Angeles Kings vs Calgary Flames prediction, odds, win probability, and matchup analysis for April 16, 2026
Get the playerWON NHL prediction for the Los Angeles Kings at Calgary Flames matchup on April 16, 2026. playerWONโs machine-learning model currently gives the Los Angeles Kings a 53.8% win probability.
๐ค Model favours Los Angeles Kings
(53.8%)
Compare market odds, fair odds, and value below.
April 16, 2026
Visitor Model vs Market
Los Angeles Kings
53.8%
Fair American: -116
Fair Decimal: 1.86
Best Market: -150 ยท BetRivers
Market Implied: 60.0%
Edge: -6.2%
EV: -10.3%
Calculate Value โ
Home Model vs Market
Calgary Flames
46.2%
Fair American: +116
Fair Decimal: 2.16
Best Market: +137 ยท Bovada
Market Implied: 42.2%
Edge: +4.0%
EV: +9.5%
Calculate Value โ
๐ Season Overview
|
|
Metric |
|
|---|---|---|
| 90 | Points | 77 |
| 0.549 | Points % | 0.470 |
| 225 | Goals For | 212 |
| 247 | Goals Against | 259 |
| -22 | Goal Differential | -47 |
| L1 | Current Streak | W1 |
๐ Road vs ๐ Home
|
|
Metric |
|
|---|---|---|
| 41 | Games | 41 |
| 20 | Wins | 23 |
| 51 | Points | 51 |
| -2 | Goal Differential | 13 |
๐ฅ Last 10 Games
|
|
Metric |
|
|---|---|---|
| 6-2-2 | Record | 4-5-1 |
| 14 | Points | 9 |
| 32 | Goals For | 30 |
| 31 | Goals Against | 37 |
| 1 | Goal Differential | -7 |
๐ฅ
Last 10 Head-to-Head Games
|
|
H2H Summary |
|
|---|---|---|
| 3-7 | Record | 7-3 |
| 21 | Total Goals | 27 |
| -6 | Goal Differential | +6 |
| 2.1 | Goals / Game | 2.7 |
| 28.0 | Shots / Game | 29.2 |
| Date | Matchup | Score | Shots | Details |
|---|---|---|---|---|
| Mar 24, 2026 |
|
2 - 3 | 25 - 23 | View |
| Feb 28, 2026 |
|
0 - 2 | 29 - 37 | View |
| Dec 13, 2025 |
|
2 - 1 | 38 - 21 | View |
| Apr 17, 2025 |
|
5 - 1 | 29 - 31 | View |
| Jan 11, 2025 |
|
1 - 2 | 32 - 18 | View |
| Nov 11, 2024 |
|
1 - 3 | 29 - 28 | View |
| Apr 11, 2024 |
|
1 - 4 | 23 - 30 | View |
| Mar 30, 2024 |
|
2 - 4 | 18 - 35 | View |
| Feb 27, 2024 |
|
2 - 4 | 23 - 37 | View |
| Dec 23, 2023 |
|
3 - 5 | 32 - 34 | View |
This matchup prediction is generated using playerWONโs machine-learning model, incorporating team performance, recent form, and home/away effects. View full model performance to compare results across games.