Columbus Blue Jackets vs Carolina Hurricanes Prediction -

Columbus Blue Jackets vs Carolina Hurricanes Prediction - April 02, 2026

Note: Final picks on our picks page may differ from this article's prediction, as they incorporate last-minute goalie confirmations, injury updates, and live odds closer to game time. Always check the picks page for the most up-to-date selections.

The Columbus Blue Jackets travel to Raleigh to face the Carolina Hurricanes in a matchup that features a clear divide in underlying performance metrics. While the Blue Jackets will look to extend their playoff push, they're taking on a Hurricanes team that has established itself as a dominant force through advanced analytics. This Blue Jackets vs Hurricanes prediction hinges on which team's recent form and underlying play will determine the outcome on April 2nd.

Team Form & Recent Performance

The Hurricanes have built momentum with three wins in their last five games, putting them at 6-4-0 on the season. That's a significant edge in recent performance compared to Columbus, which has managed just one win in their last five games while sitting at 5-4-1. Carolina's recent success reflects a team firing on all cylinders, while the Blue Jackets appear to be struggling to find consistency when it matters most.

Both teams enter with one day of rest, so there's no back-to-back advantage for either side. The schedule is equal, making this purely about which team executes better on the ice.

Advanced Stats Comparison

This is where the data reveals a stark contrast. Carolina dominates across every advanced metric:

Corsi (CF%): The Hurricanes register an impressive 62.0% Corsi compared to Columbus's 47.99%. That's a 14-point gap in shot attempt percentage—a massive indicator that Carolina controls play at five-on-five.

Expected Goals (xGF%): Carolina edges out the Blue Jackets 59.6% to 48.52% in expected goals percentage. This suggests the Hurricanes create better-quality scoring opportunities and allow fewer dangerous chances defensively.

High-Danger Chances (HDCF%): The gap widens further with high-danger chances. Carolina's 59.93% HDCF% towers over Columbus's 47.35%, indicating the Hurricanes generate far more premium scoring opportunities from prime areas.

These advanced metrics paint a picture of a Carolina team that controls pace, generates elite scoring chances, and limits opposition opportunities. The Blue Jackets Hurricanes pick must account for this considerable gap in underlying performance.

Goalie Matchup

J. Greaves will start for Columbus, carrying a 24-15-9 record into the contest. The Blue Jackets will need solid goaltending to stay in this game, but Greaves enters with a .500 point percentage that's respectable but not dominant.

Frederik Andersen takes the net for Carolina with a 13-13-5 record. While Andersen's record shows an even split, he'll be backed by a Hurricanes defense that limits high-danger chances at an elite rate. That's the advantage—Carolina's defensive structure should make Andersen's job significantly easier.

Prediction

WP Hockey Predictor's pick: Carolina Hurricanes (57.9% win probability)

The advanced analytics are overwhelming in favor of the home team. Carolina's dominance in Corsi, expected goals, and high-danger chances creates a structural advantage that's difficult to overcome. The Hurricanes control play at five-on-five, generate premium scoring chances, and defend effectively. Meanwhile, Columbus's recent form (1 win in 5 games) suggests they're struggling with consistency precisely when postseason positioning matters.

While the Blue Jackets can't be counted out completely—they do sit just one game below .500—the data points decisively toward Carolina. The 57.9% win probability reflects a meaningful but not overwhelming advantage, acknowledging that playoff hockey is inherently volatile.

For our NHL picks on anytime goalscorers, we're backing Sebastian Aho for Carolina and Kirill Marchenko for Columbus. Both teams will score, but the Hurricanes' depth and efficiency give them the edge to win the game.

Run your own prediction with WP Hockey Predictor to see how different variables shift the probability in real time.