About Stas Pupkov

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So far Stas Pupkov has created 31 blog entries.

Analytics Advantage: Goals Against Average and Goals Saved Above Average

By |2024-04-11T21:14:59-04:00April 11th, 2024|Analytics Advantage|

In the competitive realm of fantasy hockey, the discerning manager knows the importance of a robust goaltender—an individual whose performance can swing the pendulum of league standings. Within this analytical domain, two metrics stand paramount in quantifying a goalie's value: Goals Saved Above Average (GSAA) and Goals Against Average (GAA). These statistics offer more than [...]

Analytics Advantage: Shifts in Player Performance Using PDO and Expected Goals

By |2024-04-04T12:29:47-04:00April 4th, 2024|Analytics Advantage|

In the evolving world of fantasy hockey, understanding the nuances behind player performance is key to gaining a competitive edge. Reflecting on our previous analyses, we've explored the complex roles of forwards and defensemen, emphasizing the metrics that capture their on-ice contributions. As the game changes, so too does the data landscape, prompting a fresh [...]

Analytics Advantage: Defensive Contributions and Fantasy Impact

By |2024-03-29T07:06:33-04:00March 29th, 2024|Analytics Advantage|

In the fast-paced world of hockey, where goals light up the scoreboard and electrify crowds, the subtler aspects of the game often escape the spotlight. Among these, a player’s defensive contributions, though less heralded, are pivotal in shaping the outcome of games. This is where advanced metrics like Expected Goals Against per 60 minutes (xGA/60) [...]

Analytics Advantage: Individual Shot Attempts, Expected Goals, and Efficiency

By |2024-03-22T06:43:59-04:00March 22nd, 2024|Analytics Advantage|

The evaluation of player performance in fantasy hockey is evolving, with advanced metrics providing a deeper understanding of a player's impact beyond traditional statistics. Among these, Individual Corsi For (iCF) and Expected Goals For (xGF) have emerged as crucial indicators for assessing offensive contributions and efficiency. This analysis aims to compare iCF and xGF to [...]

Analytics Advantage: Ice Time and Fantasy Points From Shots, Hits, and Block

By |2024-03-14T07:29:06-04:00March 14th, 2024|Analytics Advantage|

As the NHL season unfolds, fantasy hockey managers are on a perpetual quest for strategies that can give them the edge in their leagues. While the allure of goals, assists, and goaltending victories often dominates drafting strategies, the savviest of managers know the value of digging deeper. Our previous analysis ventured into the less trodden [...]

Analytics Advantage: Corsi-For Percentage and Expected Goals-For Percentage

By |2024-03-07T06:49:59-05:00March 7th, 2024|Analytics Advantage|

In the realm of hockey analytics, two metrics have increasingly become the focal point for understanding the intricacies of the game: Corsi For Percentage (CF%) and Expected Goals For Percentage (xGF%). These advanced statistics offer a glimpse beyond traditional metrics, providing a deeper insight into a team's performance and player efficiency. This analysis embarks on [...]

Analytics Advantage: Shooting Percentage, Expected Goals, and Over/Underperformance

By |2024-02-29T07:17:00-05:00February 29th, 2024|Analytics Advantage|

In fantasy hockey, player evaluation increasingly relies on a blend of traditional and advanced metrics. Among these, Shooting Percentage (SH%) and Individual Expected Goals (ixG) stand out for their ability to provide a deeper understanding of player performance. SH% measures the efficiency of converting shots into goals, while ixG estimates the number of goals a [...]

Advanced Analytics: Fantasy Contributions and High-, Medium-, and Low-Danger Goals

By |2024-02-22T06:55:04-05:00February 22nd, 2024|Analytics Advantage|

Building upon our journey through the intricate world of hockey analytics from an earlier article, this article serves as a continuation of our initial exploration, and delves further into the nuanced metrics that reveal the hidden layers of player performance. With a foundation laid in understanding expected goals-for percentages, as well as high-, medium-, and [...]

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