David Rittich (New York Islanders) Under 27.5 Saves (-125)
Odds available at draftkings at time of publishing
Betting on David Rittich for Under 27.5 in the 'Player Total Saves' market is statistically grounded on his recent performance data. His last five away games show an average of 22.6 saves, which is considerably below the set line of 27.5. The data also shows that Rittich has faced an average of 26.2 shots in these games, suggesting that the volume of shots he will need to save to exceed the 27.5 line may not materialize. His overall performance reiterates this trend, with an average of 24.2 saves in the last five games. Additionally, his hit rates for under the line are substantial, with 17 out of the last 20 away games and 13 out of the last 20 overall games. Thus, Rittich's recent performance and save averages indicate a significant likelihood of staying under the 27.5 saves line.
Carolina Hurricanes vs New York Islanders : New York Islanders win (+180)
Odds available at draftkings at time of publishing
The bet on the New York Islanders is driven by their comparative performance against the Carolina Hurricanes in recent games. The Islanders have a stronger overall L5 record (4-1) compared to the Hurricanes (2-3). They also have a better away record (3-2) than the Hurricanes' home record (2-3). Additionally, the Islanders' average goals per game (4.2) significantly exceed the Hurricanes' average (2.8), indicating a more potent offense. The Hurricanes' goals against average is higher (3.6) than the Islanders' (3.2), suggesting defensive vulnerabilities. The Islanders also have a slight edge in their head-to-head L5 record against the Hurricanes (3-2). These statistical advantages in performance, along with the model's prediction of 0.54 in favor of the Islanders, support the bet on the New York Islanders.
Seth Jarvis (Carolina Hurricanes) Yes Anytime Goalscorer (+145)
Odds available at draftkings at time of publishing
Seth Jarvis has shown consistent scoring performance in his last five home games, averaging 0.8 goals per game, more than double his overall average of 0.4. His shot average is also higher overall (3.4) than at home (3), indicating that his shot attempts have a higher success rate at home. His 0.4 average in game-winning goals at home indicates a strong propensity to score under pressure. Furthermore, his hit rates for scoring in home games (4 out of 6) is notably higher than his overall hit rate (7 out of 12). Although his current home game hit streak is zero, his robust performance statistics suggest that he has a good chance of scoring in the upcoming match. The model prediction of 0.44, coupled with a modest standard deviation of 0.43, further reinforces the likelihood of him scoring at any time during the game.
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