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Settings →Every AI pick tracked. Every result shown. No hiding, no deleting, no excuses. Browse today's plays, verify our record, and see exactly where the edge comes from.
3
Today's Picks
54%
Win Rate
1397
Total Picks
Record
729-621-47
W-L-P
Win Rate
54%
Units
+81.4
ROI
+6.0%
Streak
1W 🔥
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NFL Picks
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NBA Picks
136-115 · +11.4u · +4.5%
MLB Picks
377-342 · -10.4u · -1.4%
NHL Picks
81-100 · -0.5u · -0.3%
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NCAAB Picks
45-15 · +28.3u · +47.2%
UFC Picks
6-6 · -2.3u · -19.1%
EPL Picks
9-6 · +7.0u · +46.6%
La Liga Picks
14-7 · +8.0u · +38.2%
Serie A Picks
17-7 · +9.3u · +38.8%
Bundesliga Picks
18-6 · +13.5u · +56.4%
Ligue 1 Picks
15-10 · +3.9u · +15.5%
MLS Picks
6-5 · +8.3u · +75.8%
Champions League Picks
3-2 · +0.8u · +15.3%
Europa League Picks
2-0 · +4.0u · +202.0%

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Methodology
GODDS uses a proprietary AI algorithm that analyzes real-time odds from the top offshore sportsbooks, combined with historical data, injury reports, matchup dynamics, and situational variables to calculate true win probabilities for every game.
When the model identifies a meaningful discrepancy between its calculated probability and the implied odds on the board, a pick is generated. Each pick includes a confidence rating (1-5 stars), the recommended sportsbook offering the best line, and a detailed analysis explaining the edge.
Most importantly, every pick is tracked and verified. Our win-loss record, unit profit, and ROI update automatically — nothing is hidden or retroactively changed. Transparency is the foundation of trust.
The Process
Data Collection
We ingest real-time odds from the top offshore sportsbooks, injury feeds, weather data, and historical performance metrics for every matchup.
AI Analysis
Our algorithm evaluates true win probabilities, expected margins, and closing line value. It compares its projections against posted odds to find market inefficiencies.
Pick Generation
When the model identifies value — where the true probability meaningfully exceeds the implied odds — a pick is generated with a confidence rating from 1 to 5 stars.
Result Tracking
Every pick is tracked from the moment it publishes. Win, loss, or push — nothing is hidden, deleted, or edited. Our record updates automatically after each game settles.
Pick Types
Straight-up winner predictions. Our algorithm weighs win probability, closing line value, and implied odds to find mispriced favorites and live underdogs.
Example: Lakers ML -150 → Algorithm sees 65% true probability vs. implied 60%
Point spread selections driven by margin-of-victory modeling. We compare our projected margin against the posted line to find value on either side.
Example: Chiefs -3.5 → Model projects 6.2-point margin
Over/under predictions based on pace, offensive efficiency, and defensive metrics. Weather, altitude, and rest days factor into outdoor sports models.
Example: Under 217.5 → Both teams bottom-5 in pace this month
Our highest-confidence plays. These require alignment across multiple model signals — value, edge size, and historical pattern strength all must converge.
Example: 5-star confidence → All signals aligned
Positive expected value (+EV) picks where the true probability exceeds what the odds imply. Not always the likeliest winner, but profitable over volume.
Example: Underdog at +180 → True probability 40% vs. implied 36%
Longer-range predictions on championships, awards, and season totals. Updated weekly as new data reshapes projections.
Example: Celtics to win East +320 → Pre-season value window
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New York Mets @ Philadelphia Phillies · 7:11 PM ET
New York Mets ML(+117)
The line moved from Phillies -136 to -128 despite public money on Philly. That sharp action on the Mets was correct. New York's pitching outdueled a struggling Phillies lineup.
Colorado Rockies @ San Francisco Giants · 4:06 PM ET
Colorado Rockies ML(+136)
The Rockies offense went silent, scoring only 1 run against Giants pitching. The line movement from -160 to -150 suggested value, but the Giants' starter dominated and Colorado couldn't generate any momentum. Sometimes the sharp money is wrong, and this was one of those nights.
New York Yankees @ Washington Nationals · 1:36 PM ET
New York Yankees ML(+105)
The Yankees' superior road record and pitching advantage were the difference. The Nationals' missing arms left them vulnerable, and the Yankees' offense capitalized. The market overreaction to Washington created value at +105.
Milwaukee Brewers @ Pittsburgh Pirates · 12:16 PM ET
Milwaukee Brewers ML(+109)
The Brewers lost a close game due to poor run support. Despite superior season stats, they couldn't convert opportunities. The pick was sound based on data, but baseball's randomness prevailed.
Arizona Diamondbacks @ Los Angeles Dodgers · 9:10 PM ET
Los Angeles Dodgers ML(-265)
The Dodgers' starter, Jack Flaherty, had a terrible outing, allowing 6 earned runs. Arizona's offense was hot, and the Dodgers couldn't keep up. Sometimes a -265 favorite just gets beat.
Atlanta Braves @ St. Louis Cardinals · 7:15 PM ET
Atlanta Braves ML(-102)
The Braves' pitching advantage didn't show up, and their offense was held to one run. The Cardinals executed better on the day, and our edge in ERA didn't translate to runs allowed. A loss, but the logic was sound.
Chicago Cubs @ Cincinnati Reds · 7:11 PM ET
Chicago Cubs ML(+104)
The Cubs won outright at +104 because they are a fundamentally better team with a sharp moneyline record, while the Reds are inconsistent and overvalued at home. The head to head history also favored Chicago, and they delivered.
Houston Astros @ Texas Rangers · 7:06 PM ET
Houston Astros ML(+106)
The Astros won because the Rangers were missing three key players, and the books failed to adjust the line accordingly. Houston's recent head-to-head success (4 of last 6) and BetUS's +106 price gave bettors a clear value edge.
Boston Red Sox @ New York Mets · 4:11 PM ET
Boston Red Sox ML(+134)
Boston's pitching dominated a struggling Mets lineup, and the Red Sox continued their trend of outperforming expectations. The +134 value was too good to pass up, and LowVig had the best number.
Colorado Rockies @ San Francisco Giants · 4:06 PM ET
Colorado Rockies ML(+134)
The Rockies' offense went quiet against Giants pitching, scoring only 2 runs. The market movement toward San Francisco was sharp money, and the Giants' home advantage proved decisive. Our bet relied on recent head-to-head success, but that trend didn't hold in this spot.
New York Yankees @ Washington Nationals · 4:05 PM ET
New York Yankees ML(-185)
The Yankees' superior pitching (3.40 ERA vs. 4.76) was the decisive factor, as they jumped to an early lead and held on. The line at -185 on BetOnline.ag offered solid value for a team with a clear talent advantage.
Los Angeles Angels @ Minnesota Twins · 2:11 PM ET
Los Angeles Angels ML(+154)
The Angels extended their season sweep of the Twins, proving their head-to-head dominance was no fluke. Minnesota's poor moneyline record (18-25) and the public's overvaluation of the favorite created value. The +154 price at LowVig.ag was a gift.
Athletics @ Chicago White Sox · 2:11 PM ET
Chicago White Sox ML(-102)
The White Sox dominated at home against a struggling Athletics team. Our confidence in Chicago's pitching and home field advantage was spot on. The value at -102 made this a sharp play.
Seattle Mariners @ Tampa Bay Rays · 7:11 PM ET
Seattle Mariners ML(+107)
The Mariners' pitching edge didn't hold up as Tampa Bay exploded for seven runs. The Rays' home dominance (33-14) and their ability to snap a losing streak with a big offensive performance were the key factors. We overvalued Seattle's run prevention and undervalued Tampa Bay's bounce-back potential.
Milwaukee Brewers @ Pittsburgh Pirates · 6:41 PM ET
Milwaukee Brewers ML(+109)
The Brewers blew a 6-0 lead, losing 7-6. The value was correct at +109, but the bullpen collapse cost us. Sharp bettors still got the better side; execution failed.
Colorado Rockies @ San Francisco Giants · 9:46 PM ET
Colorado Rockies ML(+112)
The Giants' offense exploded for 8 runs, far exceeding their usual output. The Rockies' pitching couldn't contain them, and the lineup failed to capitalize on scoring opportunities. The plus money at +112 wasn't enough to offset the risk of a road underdog facing a motivated home team.
Arizona Diamondbacks @ San Diego Padres · 9:41 PM ET
Arizona Diamondbacks ML(+109)
The Diamondbacks won because San Diego's depleted rotation couldn't handle a solid Arizona lineup. The Padres' recent slide was real, and the odds didn't reflect their true form. BetOnline.ag's +109 was the best price on a team that should have been favored.
Los Angeles Angels @ Texas Rangers · 8:06 PM ET
Los Angeles Angels ML(+119)
Sharp money steamed the Angels from +115 to +119, and the public stayed on Texas. The Angels had owned the Rangers head-to-head and Texas was banged up. The final score was 13-1, a total mismatch that the odds movement predicted.
Milwaukee Brewers @ St. Louis Cardinals · 7:46 PM ET
Milwaukee Brewers ML(-131)
The Brewers' superior run differential and road record overwhelmed a .500 Cardinals team at home. Milwaukee's pitching held St. Louis in check while the offense scored freely. The -131 line at MyBookie.ag was pure value against a team with a 4.15 ERA.
Philadelphia Phillies @ Cincinnati Reds · 7:11 PM ET
Philadelphia Phillies ML(-156)
The Phillies moneyline hit because Aaron Nola dominated a weak Reds lineup, allowing 0 runs over 7 innings. Philadelphia's pitching was the difference, as Cincinnati managed only 3 hits. The pre-game analysis correctly identified the Reds' struggles and the Phillies' road competence.
Philosophy
The sports betting industry is plagued by fake records, deleted losses, and retroactive line changes. Handicapping services routinely claim 70-80% win rates that crumble under scrutiny. At GODDS, we built our pick tracking system to be tamper-proof from day one.
Every pick is timestamped when it publishes, with the exact line and odds recorded. Results are automatically graded when games settle — no manual intervention, no after-the-fact editing. If we go on a losing streak, you'll see it right here on this page.
We track units gained/lost rather than dollar amounts because unit-based tracking is the industry standard for evaluating betting performance. It normalizes results across different bankroll sizes and eliminates the incentive to cherry-pick bet sizes.
We also track closing line value (CLV) — whether we beat the final line at game time. Research consistently shows that CLV is the strongest predictor of long-term profitability, even more predictive than short-term win rates.
FAQ
GODDS combines the analytical power of artificial intelligence with the transparency that the sports betting industry desperately needs. Our algorithm processes thousands of data points per game — from real-time odds across the top offshore sportsbooks to injury impacts, rest advantages, and historical trends.
But what truly sets GODDS apart is accountability. Every pick is publicly recorded, every result is automatically graded, and our full performance history is available for anyone to audit. We don't sell picks — we prove them.
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