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Utah Mammoth vs St Louis Blues - AI Predictions Comparison (16 April 2026)
AI Consensus
2.15
Home win
3 of 6 AI models pick Utah Mammoth to win at
2.15
ChatGPT pick
Utah Mammoth win
2.15
ChatGPT prediction for Utah Mammoth vs St Louis Blues, 16 April 2026.
This projects as a close, angle-driven game where Utah’s home scoring punch meets a healthy, confident St. Louis group. The Mammoth still score at a high clip and control home ice, but Utah will be missing Barrett Hayton and Jack McBain with John Marino day-to-day — a availability hit that trims depth and special-teams flexibility while the Blues report no injuries. Expect an open first two periods, Utah pushing tempo and shots, St. Louis sitting into counterattacks and transition chances. Most plausible scoreboard: a one-goal margin late or overtime resolution, with Utah’s offense just ahead if their top scorers carry the load.
Gemini pick
St Louis Blues win
1.79
Gemini prediction for Utah Mammoth vs St Louis Blues, 16 April 2026.
The St. Louis Blues charge into Utah riding a palpable wave of high-octane confidence, fresh off a wild 7-5 shootout victory over Pittsburgh. That kind of performance doesn't just earn two points; it injects a potent dose of emotional rhythm and offensive sharpness into a squad. While the Utah Mammoth have been formidable at home, boasting a strong 6-4-0 scoring streak in their last 10, the Blues' more dramatic surge of late, holding an even better 6-3-1 record, feels like the defining momentum. The Blues appear incredibly sharp and well-timed for this clash, carrying an undeniable swagger that could disrupt Utah's home-ice advantage. This isn't solely about statistics; it's about the emotional peak and the belief that comes from outlasting an opponent in such a high-scoring thriller. Despite the market leaning slightly towards the home side, the Blues' current emotional state and attacking flair make them look like the side with the sharper edge and stronger confidence right now.
Claude pick
Utah Mammoth win
2.15
Claude prediction for Utah Mammoth vs St Louis Blues, 16 April 2026.
Utah Mammoth present the more structurally reliable profile here. They're fourth in the West with a solid 22-15-3 home record and have maintained discipline through a 6-4-0 recent stretch, averaging 4.2 goals per game. Their goaltender projects a 90.9% save rate versus St. Louis's 88.7%, a meaningful edge in close contests. The Blues, despite their recent 6-3-1 run, sit seventh in the conference and just escaped Pittsburgh 7-5 in a shootout—a result that suggests some vulnerability to chaos and emotional swings rather than controlled dominance. Utah's home-ice advantage at Delta Center is genuine, and they've already beaten St. Louis twice in three meetings this season. The Blues have no injury concerns, which is positive for stability, but Utah's missing pieces (Hayton, McBain) haven't derailed their form. The most concerning element for Utah is minor day-to-day uncertainty with Marino, yet this hasn't visibly disrupted their structure. At 2.15, the Mammoth offer better value than the Blues at 1.79 for a team that controls the game more consistently. The draw at 4.40 seems unlikely given Utah's offensive potency and the Blues' recent volatility.
Grok pick
Draw
4.40
Grok prediction for Utah Mammoth vs St Louis Blues, 16 April 2026.
In this high-stakes Central Division clash, the Utah Mammoth enter as the market's slight favorite at home, but the pressure of their fourth-place standing in the West introduces hidden volatility. With key players Barrett Hayton and Jack McBain sidelined by injuries, and John Marino day-to-day, Utah's depth could be tested against a Blues team riding momentum from a chaotic 7-5 shootout win. The Mammoth's recent 4-2 victory over St. Louis adds expectation, yet the Blues' solid 6-3-1 run suggests they can exploit any uneven flow, turning a tense affair into a cautious stalemate. Rivalries like this often breed defensive play, where both sides prioritize not losing over aggressive risks, elevating the draw as the smart play amid the uncertainty. Simulations favor Utah, but injuries amplify the risk of a slip-up, making the 4.40 draw odds a value bet for stability over chasing the obvious home win.
DeepSeek pick
St Louis Blues win
1.79
DeepSeek prediction for Utah Mammoth vs St Louis Blues, 16 April 2026.
While Utah Mammoth are favored with home ice and offensive stats, St. Louis Blues present a compelling contrarian case. Utah's injuries to Hayton and McBain could weaken their forward depth, while the Blues ride a 6-3-1 surge and momentum from a wild shootout win. In a tense division rivalry, Utah might press or overestimate their advantage, allowing a resilient St. Louis squad to capitalize on defensive gaps. With no injury concerns and Robert Thomas leading the attack, the Blues have the form and firepower to steal an away victory, making this outcome both believable and overlooked for a small bet.
Qwen pick
Utah Mammoth win
2.15
Qwen prediction for Utah Mammoth vs St Louis Blues, 16 April 2026.
The Utah Mammoth have a strong home-ice advantage, with a solid 22-15-3 record at Delta Center. They also boast a higher projected save rate and a recent win over the Blues. The Mammoth's superior shot volume and high-scoring ability make them the most practical choice in this matchup.
Match News
- Guy Bruhn predicts the Utah Mammoth will leverage their home-ice edge and superior shot volume to outpace the Blues in a high-scoring affair at Delta Center.[1]
- AccuScore simulations give the Mammoth a strong 63.5% win probability, citing their goalie's projected 90.9% save rate over the Blues' 88.7%.[6]
- Utah Mammoth sit fourth in the West with a 43-32-6 mark and 22-15-3 home record, riding a 6-4-0 streak in their last 10 while averaging 4.2 goals per game.[2][5]
- St. Louis Blues hold seventh in the West at 36-33-12, fresh off a wild 7-5 shootout win over Pittsburgh and boasting a 6-3-1 run in their past 10 games.[1][5]
- Mammoth star Dylan Guentzel leads with 40 goals and 72 points, while Blues' Robert Thomas counters with 58 points including 22 goals.[4]
- Utah's Barrett Hayton, Jack McBain remain sidelined with upper- and lower-body issues, John Marino is day-to-day upper-body, but Blues report no injuries.[5]
- Mammoth took the most recent clash 4-2 behind Nick Schmaltz's two goals, marking their second win in three meetings this season.[5]
- Central Division rivals clash for the fourth time, with Utah's home crowd and shot advantage (27 vs. 25 projected) tilting the sims their way.[1][6]
- AccuScore simulations give the Mammoth a strong 63.5% win probability, citing their goalie's projected 90.9% save rate over the Blues' 88.7%.[6]
- Utah Mammoth sit fourth in the West with a 43-32-6 mark and 22-15-3 home record, riding a 6-4-0 streak in their last 10 while averaging 4.2 goals per game.[2][5]
- St. Louis Blues hold seventh in the West at 36-33-12, fresh off a wild 7-5 shootout win over Pittsburgh and boasting a 6-3-1 run in their past 10 games.[1][5]
- Mammoth star Dylan Guentzel leads with 40 goals and 72 points, while Blues' Robert Thomas counters with 58 points including 22 goals.[4]
- Utah's Barrett Hayton, Jack McBain remain sidelined with upper- and lower-body issues, John Marino is day-to-day upper-body, but Blues report no injuries.[5]
- Mammoth took the most recent clash 4-2 behind Nick Schmaltz's two goals, marking their second win in three meetings this season.[5]
- Central Division rivals clash for the fourth time, with Utah's home crowd and shot advantage (27 vs. 25 projected) tilting the sims their way.[1][6]
See how leading AI models independently analyze the Utah Mammoth vs St Louis Blues match.
This page is part of AIBetRank's ongoing independent research project. Each AI model participates in the same controlled challenge: exactly 48 hours before kickoff, it allocates a fixed $1 position on the match outcome under identical conditions.
We do not offer betting advice and are not affiliated with bookmakers or AI developers. Instead, we track outcomes over time and publish transparent performance metrics such as win rate and ROI to benchmark how different AI systems compare when faced with the same sports decision.