Originally posted on The Score
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What does it take to win the Stanley Cup?
The qualitative answers to such an all-encompassing question include toughness, determination, resilience, strength, skill, and a whole lot of luck.
Approaching the playoffs, we look for quantitative hints to spring's biggest question. Thinking about it logically, we want our team to do three things:
Before we get to this year's Stanley Cup Playoffs, let's look back at the last three years and see how the conference finalists faired during the regular season.
First up, a trusted method to measure play-driving: expected goals share (xG%) at even strength (ES):
YEAR TEAM ES xG% (Regular) ES xG% (Playoffs) 2021 Lightning 52.0% (6th) 50.5% (9th) Canadiens 45.0% (12th) 48.9% (10th) Golden Knights 52.4% (5th) 55.5% (4th) Islanders 47.4% (10th) 47.0% (11th) 2022 Avalanche 52.7% (9th) 59.1% (2nd) Lightning 52.0% (12th) 51.5% (8th) Rangers 49.4% (19th) 39.6% (15th) Oilers 53.3% (6th) 51.6% (7th) 2023 Golden Knights 50.8% (16th) 51.8% (7th) Panthers 52.8% (9th) 46.5% (15th) Hurricanes 58.6% (1st) 53.7% (3rd) Stars 53.4% (6th) 55.2% (1st)Is there a correlation to playoff success?
Interestingly, just five of the 12 teams to make a conference final and just one Stanley Cup finalist - the teams in bold in the table above - had a season where they finished in the top eight, a cohort that suggests they're in the top half of the 16 playoff teams.
While we'd prefer to back teams that have a better rate of creating scoring chances than not, there's no recent direct correlation from regular-season success in this metric. This is similar to the regular-season standings, where we've seen three division winners, four second-place finishers, two third-place teams, and three from the fourth/wild-card spot make a conference final.
The top eight teams in xG% are all expected to be in the playoffs but will likely need to do more to make a run in the Stanley Cup Playoffs.
On Monday, we'll see how successful playoff teams have recently stacked up in SNIPES, a metric we created that evaluates how good a team's top-end talent is at converting scoring opportunities.
The dirty little secret in the betting world is that while there are no bad bets at the right price, the discovery process of what a good price looks like is hidden.
Each week, we balance market information from regular-season point totals and in-season advanced metrics - with an even-strength focus - to determine the win probability for each team and the moneyline needed to bet on either side. The idea is to remove the cognitive bias of win-loss records, which can be skewed by outliers like special-team results, poor goaltending performances, and other unreliable events.
You can use whatever parameters you like to decide how much of an edge you need to trigger a bet, but here are mine:
I also have a 5% win probability consideration for a team playing in the second game of a back-to-back with travel and a 3% consideration for the second leg of a home back-to-back. When it comes to injured players, an estimation is made on the player's impact on their team's win probability.
When the betting markets open up the night before, you can compare those prices with our "price to bet" column to see if you're getting any value with either side's moneyline. There's a possibility that a moneyline moves into a bet-friendly range at some point between the market opening and puck drop.
DATE GAME WIN PROB. (%) PRICE TO BET Apr. 5 NYR@DET 58.5/41.5 NYR -135/DET +166 WSH@CAR 19.0/81.0 WSH +568/CAR -401 PHI@BUF 39.0/61.0 PHI +186/BUF -150 COL@EDM 36.5/63.5 COL +208/EDM -167 SEA@ANA 62.9/37.1 SEA -163/ANA +203 VGK@ARI 62.6/37.4 VGK -161/ARI +200 Apr. 6 TB@PIT 43.5/56.5 TB +153/PIT -125 FLA@BOS 45.8/54.2 FLA +139/BOS -114 WPG@MIN 44.4/55.6 WPG +147/MIN -120 DAL@CHI 75.9/24.1 DAL -299/CHI +398 STL@SJS 61.4/38.6 STL -153/SJS +189 TOR@MTL 68.4/31.6 TOR -206/MTL +262 NJD@OTT 53.8/46.2 NJD -112/OTT +137 PHI@CBJ 45.6/54.4 PHI +140/CBJ -115 NSH@NYI 47.8/52.2 NSH +121/NYI +101 VAN@LAK 38.9/61.1 VAN +186/LAK -151 EDM@CGY 57.9/42.1 EDM -132/CGY +163 Apr. 7 BUF@DET 52.3/47.7 BUF +101/DET +121 MIN@CHI 65.1/34.9 MIN -178/CHI +223 CBJ@CAR 12.5/87.5 CBJ +1076/CAR -640 OTT@WSH 44.3/55.7 OTT +148/WSH -121 ARI@SJS 62.5/37.5 ARI -160/SJS +199 NSH@NJD 40.7/59.3 NSH +172/NJD -140 MTL@NYR 22.6/77.4 MTL +437/NYR -323 STL@ANA 50.2/49.8 STL +110/ANA +111 DAL@COL 43.4/56.7 DAL +155/COL -126Matt Russell is the lead betting analyst for theScore. If there's a bad beat to be had, Matt will find it. Find him on social media @mrussauthentic.
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Originally posted on The Score
Published: 7 months ago
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