SaleneBettingGroup has a total of 20 completed sports picks the last 30-days.
* Return on Investment (ROI) figures above represent potential returns based on a $100 per unit risk amount. Please note that past results do not guarantee or imply future performance.
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1/11/2026 (NFL) LOS ANGELES CHARGERS VS. NEW ENGLAND PATRIOTS
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1/4/2026 (NFL) BALTIMORE RAVENS VS. PITTSBURGH STEELERS
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1/3/2026 (NCAAB) AUBURN VS. GEORGIA
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1/3/2026 (NCAAB) BAYLOR VS. TCU
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1/3/2026 (NCAAB) NORTH CAROLINA VS. SMU
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1/3/2026 (NFL) CAROLINA PANTHERS VS. TAMPA BAY BUCCANEERS
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1/3/2026 (NFL) SEATTLE SEAHAWKS VS. SAN FRANCISCO 49ERS
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1/1/2026 (NCAAF) OREGON VS. TEXAS TECH
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12/31/2025 (NCAAF) IOWA VS. VANDERBILT
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12/31/2025 (NCAAF) MIAMI VS. OHIO STATE
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12/30/2025 (NCAAF) COASTAL CAROLINA VS. LOUISIANA TECH
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12/30/2025 (NCAAF) TENNESSEE VS. ILLINOIS
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12/30/2025 (NCAAB) MASSACHUSETTS VS. EASTERN MICHIGAN
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12/30/2025 (NBA) PHILADELPHIA 76ERS VS. MEMPHIS GRIZZLIES
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12/29/2025 (NCAAB) SOUTHERN UNIVERSITY VS. ILLINOIS
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12/29/2025 (NCAAB) UMBC VS. COPPIN STATE
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12/28/2025 (NFL) SEATTLE SEAHAWKS VS. CAROLINA PANTHERS
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12/28/2025 (NFL) JACKSONVILLE JAGUARS VS. INDIANAPOLIS COLTS
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12/28/2025 (NFL) NEW YORK GIANTS VS. LAS VEGAS RAIDERS
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12/28/2025 (NFL) CHICAGO BEARS VS. SAN FRANCISCO 49ERS
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Salene Betting Group
Data-Driven Sports Betting
Salene Betting Group is a cutting-edge sports betting pick service powered by advanced computer-generated algorithms and sophisticated statistical modeling. This model took over four years to complete.
Our system processes thousands of variables — including player performance metrics, team dynamics, injury reports, weather conditions, and betting market trends — to deliver highly accurate predictions across major sports leagues.
By continuously learning from real-time data and historical outcomes, our proprietary models are optimized to identify profitable betting opportunities with an average win rate between 60% and 70% over time. Every selection is backed by quantitative analysis and machine learning refinement. There is only 20% human influence in the decision-making process allowing for an approach that removes most of the emotion from the selection.
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