--- description: Check out our NHL AI picks for November 14–15, including five weekend predictions, game analysis, projected outcomes and AI performance tracking. title: NHL AI Picks & Predictions for This Weekend image: https://cdn.oddspedia.com/images/betting/2026/09/2026-04-08T035610Z_1931901320_MT1USATODAY28681850_RTRMADP_3_NHL-BOSTON-BRUINS-AT-CAROLINA-HURRICANES.jpg --- Our NHL AI picks feature five predictions for the weekend of November 14–15, with the Edmonton Oilers, Carolina Hurricanes and Dallas Stars among our selected winners. We also identify two totals plays, including an under 5.5 goals prediction for the [Minnesota Wild vs. Boston Bruins](https://oddspedia.com/ice-hockey/boston-bruins-minnesota-wild-260112). Our NHL AI predictions evaluate team performance, offensive and defensive statistics, goaltending, special teams and scheduling factors to identify potential winners and totals opportunities. Check out our weekend [NHL picks](https://oddspedia.com/ca/hockey/usa/nhl/picks) and individual matchup breakdowns below. ## 🏒 NHL AI Picks for November 14–15 | Date | Matchup | AI Prediction | Result % in AI Simulations | | ------- | --------------------------------------- | -------------------------- | -------------------------- | | Nov. 14 | Edmonton Oilers vs. Toronto Maple Leafs | Edmonton Oilers to win | 55% | | Nov. 14 | Seattle Kraken vs. Carolina Hurricanes | Carolina Hurricanes to win | 66% | | Nov. 14 | Minnesota Wild vs. Boston Bruins | Over 5.5 goals | 52% | | Nov. 14 | Buffalo Sabres vs. Dallas Stars | Dallas Stars to win | 63% | | Nov. 15 | Calgary Flames vs. Anaheim Ducks | Over 6.5 goals | 50% | ### What the Results Tell Us * **Carolina Hurricanes (66%)**: Carolina averages 4.11 goals per game and allows just 2.32, while Seattle gives up 3.56 per game. The Hurricanes’ stronger defensive numbers give them an additional edge. * **Dallas Stars (63%)**: Dallas allows just 2.29 goals per game and has an 89.7% penalty kill, giving it a strong defensive foundation against Buffalo’s 2.94 goals per game offence. * **Edmonton Oilers (55%)**: Edmonton averages 4.00 goals per game and has a 33.3% power play, while Toronto allows 3.45 goals per contest. That offensive advantage supports the Oilers selection. * **Wild vs. Bruins Over 5.5 (52%)**: Minnesota and Boston combine for 6.97 goals per game on average. Both teams also have power plays above 18%, creating additional scoring potential. * **Ducks vs. Flames Over 6.5 (50%)**: Anaheim scores 3.74 goals per game and Calgary allows 3.47, while the Ducks’ power play converts at an impressive 36.8%. Those numbers support the potential for a high-scoring matchup. Related: [How Much Does It Cost to Watch Every NHL Game in Canada in 2026-27?](https://oddspedia.com/insights/hockey/nhl-canada-costs) ## How Our NHL AI Makes Its Predictions Our NHL AI predictions use a combination of team statistics, recent results and matchup-specific information to evaluate each game. Rather than relying exclusively on win-loss records, the model considers several factors that can influence the outcome. It runs 1,000 simulations per matchup, using scoring averages, defensive performance and home-ice advantage to estimate the likelihood of each prediction being correct. These simulations help identify potential advantages and generate confidence percentages for our weekly selections. The model evaluates the following areas: * **Recent team form**: Reviews results over the previous five and 10 games to identify trends in team performance. * **Offensive production**: Examines goals scored, shots on goal, shooting efficiency and scoring chances. * **Defensive performance**: Evaluates goals allowed, shots conceded and defensive consistency. * **Goaltending**: Considers starting goalie performance, save percentage, goals-against average and recent results. * **Special teams**: Compares power-play and penalty-kill efficiency. * **Home and away performance**: Accounts for differences in results depending on game location. * **Head-to-head history**: Reviews previous meetings between opponents. * **Rest and scheduling**: Considers back-to-back games, travel demands and available recovery time. * **Injuries and lineup changes**: Accounts for player availability and potential changes to team combinations. The model combines these factors to identify potential advantages in each matchup. It evaluates moneyline and total-goals outcomes independently of [NHL odds](https://oddspedia.com/ca/hockey/usa/nhl/odds), allowing it to identify predictions without requiring sportsbook prices to be available. ## Weekend NHL AI Picks and Predictions ### ![](https://cdn.oddspedia.com/images/teams/big/2/25601.png) Edmonton Oilers vs. ![](https://cdn.oddspedia.com/images/teams/big/2/10796.png) Toronto Maple Leafs #### AI prediction: Edmonton Oilers ML The Edmonton Oilers are our selection to beat the Toronto Maple Leafs, with Connor McDavid’s outstanding start to the season providing a major reason for the prediction. McDavid has recorded 48 points (11 goals, 37 assists) in 19 games, putting him at the top of the [NHL MVP odds](https://oddspedia.com/insights/hockey/nhl-mvp-odds). Edmonton also averages 4.00 goals per game, ranks third with a 33.3% power play and has scored consistently throughout the season. Toronto averages 3.35 goals per game but allows 3.45, giving Edmonton opportunities to exploit defensive weaknesses. The model favours the Oilers’ superior offensive production, particularly with McDavid driving their attack. ### ![](https://cdn.oddspedia.com/images/teams/big/2/10545.png) Carolina Hurricanes vs. ![](https://cdn.oddspedia.com/images/teams/big/2/132015.png) Seattle Kraken #### AI prediction: Carolina Hurricanes ML The Carolina Hurricanes are our strongest moneyline selection, with their balanced performance at both ends of the ice giving them a considerable advantage over Seattle. Carolina averages 4.11 goals per game, tied for the NHL lead, while allowing just 2.32 goals per contest. The Kraken average 3.44 goals per game but concede 3.56, creating a significant difference in defensive consistency. Carolina also has an 85.0% penalty kill compared with Seattle’s 65.1%. The Hurricanes’ championship credentials are reflected in the [Stanley Cup odds](https://oddspedia.com/insights/hockey/nhl-stanley-cup-odds), where they were listed as the 2027 favourites at +600 on November 12\. Our model favours Carolina’s superior scoring and defensive numbers. ### ![](https://cdn.oddspedia.com/images/teams/big/2/10783.png) Minnesota Wild vs. ![](https://cdn.oddspedia.com/images/teams/big/2/10543.png) Boston Bruins #### AI prediction: Over 5.5 goals Our model picks the over 5.5 goals despite both teams having two of the NHL’s leading goaltenders in the [Vezina Trophy odds](https://oddspedia.com/insights/hockey/vezina-trophy-odds). However, the model sees enough offensive potential to favour a higher-scoring contest. The Wild average 3.25 goals per game and have a 27.1% power play, while Boston scores 3.72 goals per game. Their combined offensive average is nearly seven goals per contest, giving the over a narrow statistical advantage despite the quality of goaltending on both sides. ### ![](https://cdn.oddspedia.com/images/teams/big/2/10789.png) Dallas Stars vs. ![](https://cdn.oddspedia.com/images/teams/big/2/10546.png) Buffalo Sabres #### AI prediction: Dallas Stars ML The Dallas Stars are our pick to beat Buffalo, with their defensive consistency and special-teams advantage making them the preferred selection. Dallas allows just 2.29 goals per game, ranking among the NHL’s best defensive teams, and has an impressive 89.7% penalty kill. Buffalo, meanwhile, allows 3.56 goals per contest and has struggled on the penalty kill, operating at just 69.8%. The Sabres also have a 15.3% power play, compared with Dallas at 27.5%. Our model favours the Stars’ ability to limit scoring chances while taking advantage of Buffalo’s defensive and special-teams weaknesses. ### ![](https://cdn.oddspedia.com/images/teams/big/2/10795.png) Anaheim Ducks vs. ![](https://cdn.oddspedia.com/images/teams/big/2/25600.png) Calgary Flames Over 6.5 Goals #### AI prediction: Over 6.5 goals The Anaheim Ducks and Calgary Flames are our final selection, with the model favouring over 6.5 combined goals. Anaheim averages 3.74 goals per game, ranking among the NHL’s highest-scoring teams, but also allows 3.68 goals per contest. The Ducks have been particularly effective on the power play, converting at 36.8%, while Calgary allows 3.47 goals per game. The Flames also have a 29.5% power play, giving both teams opportunities to generate offence with the man advantage. The model expects Anaheim’s scoring ability and defensive vulnerabilities on both sides to contribute to a high-scoring matchup. ## NHL AI Picks Performance Tracker We track the results of our weekly predictions to measure how accurately the AI identifies game winners and totals outcomes. The tracker includes moneyline predictions and over/under selections, with each completed pick counting as one result. ### NHL AI Picks: Overall Performance | Metric | Record | | --------------------- | ------- | | Total Predictions | 0 | | Correct Predictions | 0 | | Incorrect Predictions | 0 | | Overall Accuracy | Pending | ### Weekly NHL AI Picks Results | Week | Correct | Incorrect | Accuracy | | -------------- | ------- | --------- | -------- | | November 14–15 | Pending | Pending | Pending | ### How Accurate Are Our NHL AI Predictions? The accuracy of our NHL AI predictions is measured by comparing each selection with the final result. Moneyline picks count as correct when the selected team wins, while totals predictions are graded against the specified over/under threshold. Each completed selection counts equally toward the overall accuracy percentage. We will track results over time to provide a transparent picture of the model’s performance. ## Best NHL betting sites Use our NHL AI picks to help guide your wagers at the [top sportsbooks](https://oddspedia.com/ca/sportsbooks), comparing available markets and prices before placing your bets. Look for [sportsbook promos](https://oddspedia.com/ca/sportsbooks/betting-offers) and welcome offers that could provide extra value and potentially boost your winnings. 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Melden Sie sich an, zahlen Sie €5 oder mehr auf Ihr bet365-Konto ein und wir geben Ihnen die entsprechende qualifizierende Einzahlung in Wett-Credits, wenn Sie qualifizierende Wetten im gleichen Wert platzieren und diese abgerechnet werden. Mindestquoten, Wett- und Zahlungsmethoden-Ausnahmen gelten. Gewinne schließen den Einsatz von Wett-Credits aus. Es gelten die AGB, Zeitlimits und Ausnahmen. Der Bonus-Code ODDSPEDIA kann während der Anmeldung benutzt werden, jedoch ändert dies den Angebotsbetrag in keinster Weise. ## ❓ NHL AI Picks FAQ ### What are NHL AI picks? NHL AI picks are hockey game predictions generated using statistical analysis and artificial intelligence. The model evaluates factors such as recent team form, offensive production, defensive performance, goaltending and scheduling to identify potential winners and totals outcomes. ### How does AI predict NHL games? AI predicts NHL games by evaluating historical and current team statistics, player performance, goaltending, special teams and matchup conditions. It combines these factors to identify potential advantages and generate predictions, including moneyline selections and projected total goals. ### How accurate are NHL AI predictions? The accuracy of NHL AI predictions depends on the quality of the data, the model’s methodology and the unpredictability of individual games. We track every selection and calculate accuracy using completed predictions rather than relying on isolated winning weeks. No prediction guarantees a particular outcome. Related Tags: * [#NHL ](/insights/tags/nhl) Don't forget to share with friends * [![Facebook Icon](/placeholder.svg)](https://www.facebook.com/oddspediaglobal) * [![X Icon](/placeholder.svg)](https://x.com/oddspedia) * [![Instagram Icon](/placeholder.svg)](https://www.instagram.com/oddspediaglobal) * [![Telegram Icon](/placeholder.svg)](https://t.me/oddspedia) ![Chris Roberts](/placeholder.svg) Chris Roberts ![Chris Roberts](/placeholder.svg) Sports Betting Expert Chris is an experienced content writer and editor who has worked in multiple industries, including sports betting. A lifelong sports fan, he has been interested in data and odds, player props, and the world of sports gambling since his uncle had him assisting with parlays through ALC’s Proline. Prior to pursuing a work-from-home role as a freelancer, Chris was a newspaper editor who managed community newsrooms in Central Alberta. 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Customise Accept All ) ( ( ( ( ( ( ( /( )\ ) )\ ) )\ ) )\ ) )\ ) )\ ) ( )\()) (()/( (()/( (()/( (()/( ( (()/( (()/( )\ ((_)\ /(_)) /(_)) /(_)) /(_)) )\ /(_)) /(_)) ((((_)( ((_) (_))_ (_))_ (_)) (_)) ((_) (_))_ (_)) )\ _ )\ / _ \ | \ | \ / __| | _ \ | __| | \ |_ _| (_)_\(_) | (_) | | |) | | |) | \__ \ | _/ | _| | |) | | | / _ \ \___/ |___/ |___/ |___/ |_| |___| |___/ |___| /_/ \_\ ```json {"@context":"http://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"item":{"@id":"https://oddspedia.com/insights","name":"Insights"}},{"@type":"ListItem","position":2,"item":{"@id":"https://oddspedia.com/insights/hockey","name":"Hockey"}},{"@type":"ListItem","position":3,"item":{"@id":"https://oddspedia.com/insights/hockey/nhl-ai-picks","name":"NHL AI Picks and Predictions: Best Bets & Game Analysis for Nov. 14-15"}}]} {"@context":"http://schema.org","@type":"NewsArticle","url":"https://oddspedia.com/insights/hockey/nhl-ai-picks","dateCreated":"2026-11-12T17:53:28+00:00","datePublished":"2026-11-12T17:53:28+00:00","dateModified":"2026-11-12T18:01:23+00:00","articleSection":"Hockey","mainEntityOfPage":{"@type":"WebPage","name":"NHL AI Picks and Predictions: Best Bets & Game Analysis for Nov. 14-15","@id":"https://oddspedia.com/insights/hockey/nhl-ai-picks"},"headline":"NHL AI Picks and Predictions: Best Bets & Game Analysis for Nov. 14-15","description":"Check out our NHL AI picks for November 14–15, including five weekend predictions, game analysis, projected outcomes and AI performance tracking.","image":[{"@type":"ImageObject","url":"https://cdn.oddspedia.com/images/betting/2026/09/2026-04-08T035610Z_1931901320_MT1USATODAY28681850_RTRMADP_3_NHL-BOSTON-BRUINS-AT-CAROLINA-HURRICANES.jpg","width":1000,"height":565}],"author":{"@context":"http://schema.org","@type":"Person","name":"Chris Roberts","gender":"Male","url":"https://oddspedia.com/experts/chris-roberts","jobTitle":"Sports Betting Expert","image":"https://cdn.oddspedia.com/images/betting/2026/04/2845-e1776347121960.png","affiliation":{"@type":"Organization","name":"Oddspedia"},"description":"<p>Chris is an experienced content writer and editor who has worked in multiple industries, including sports betting. A lifelong sports fan, he has been interested in data and odds, player props, and the world of sports gambling since his uncle had him assisting with parlays through ALC&#8217;s Proline.</p>\n<p>Prior to pursuing a work-from-home role as a freelancer, Chris was a newspaper editor who managed community newsrooms in Central Alberta. He also spent two years as sports editor at the Lloydminster Source, covering Junior A hockey, baseball, football, and other sports on both sides of the Alberta and Saskatchewan border.</p>\n<p>When he isn&#8217;t trying to find an edge in his favourite sports betting markets, he can be found on the golf course or in front of the TV cheering on his beloved Toronto Maple Leafs, Toronto Raptors, and Toronto Blue Jays.</p>\n","memberOf":[{"@type":"Organization","name":"Oddspedia","brand":"Oddspedia","sameAs":["https://x.com/oddspedia","https://www.linkedin.com/company/oddspedia","https://www.facebook.com/oddspediaglobal","https://www.instagram.com/oddspediaglobal","https://www.youtube.com/oddspedia/videos","https://t.me/oddspedia","https://discord.gg/Thp44bSCxN"]}],"sameAs":[]},"publisher":{"@type":"Organization","name":"Oddspedia","sameAs":["https://oddspedia.com","https://www.facebook.com/oddspediaglobal","https://www.instagram.com/oddspediaglobal","https://x.com/oddspedia","https://www.youtube.com/oddspedia/videos"],"logo":{"@type":"ImageObject","url":"https://cdn.oddspedia.com/images/static/brand-logos/logo-light.svg","width":164,"height":18}},"inLanguage":"en"} ```