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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.
8
Today's Picks
54.8%
Win Rate
1120
Total Picks
Record
588-485-47
W-L-P
Win Rate
54.8%
Units
+98.6
ROI
+9.2%
Streak
3W 🔥
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NFL Picks
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NBA Picks
135-113 · +12.5u · +5.1%
MLB Picks
240-212 · +3.2u · +0.7%
NHL Picks
81-100 · -0.5u · -0.3%
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NCAAB Picks
45-15 · +28.3u · +47.2%
UFC Picks
3-2 · +0.2u · +4.0%
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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Baltimore Orioles @ Toronto Blue Jays · 3:08 PM ET
Toronto Blue Jays ML(-103)
The Blue Jays' home record and pitching edge outweighed the line movement toward Baltimore. Toronto's staff held the Orioles in check, and the offense delivered. LowVig's -103 was the sharp play.
San Francisco Giants @ Chicago Cubs · 2:21 PM ET
Chicago Cubs ML(-143)
The Cubs' home record and the Giants' road struggles were the decisive factors. Chicago scored early and the bullpen held a one-run lead. San Francisco's cold offense couldn't muster enough against a solid Cubs pitching staff.
Kansas City Royals @ Minnesota Twins · 2:10 PM ET
Kansas City Royals ML(+130)
The Twins' pitching depth was exposed by injuries to Lewis and Canterino, and their lineup lacked punch without Jenkins. The Royals' bullpen dominated late, sealing the win at plus money.
Seattle Mariners @ Detroit Tigers · 1:11 PM ET
Seattle Mariners ML(-128)
New York Knicks @ San Antonio Spurs · 8:40 PM ET
San Antonio Spurs spread -6(-110)
The Knicks' defense stifled the Spurs, holding them to 95 points. Our pick relied too heavily on San Antonio's home record and spread cover rate, ignoring New York's hot streak and defensive capability.
Cincinnati Reds @ St. Louis Cardinals · 8:16 PM ET
St. Louis Cardinals ML(-137)
The Cardinals' superior pitching and home field advantage dominated. Cincinnati's injuries and weaker ERA were exposed. BetUS's -135 line was the sharpest value, and the result validated the pre-game edge.
Pittsburgh Pirates @ Atlanta Braves · 7:16 PM ET
Atlanta Braves ML(-141)
The Braves' superior pitching and home run scoring advantage overwhelmed a depleted Pirates bullpen. Atlanta's 42-21 record and 3.22 ERA were the real deal, and the line at BetOnline.ag offered value on a team that was clearly the better side.
Tampa Bay Rays @ Miami Marlins · 7:11 PM ET
Tampa Bay Rays ML(-136)
The Rays are the better team across the board, and the final score reflected that. Tampa Bay's pitching shut out Miami, and their offense produced enough to cover the moneyline easily. The pre-game analysis highlighted the standings gap and run differential, and the game validated every point.
Baltimore Orioles @ Toronto Blue Jays · 7:08 PM ET
Toronto Blue Jays ML(-146)
The Blue Jays' starter got crushed early, allowing 8 earned runs in 4 innings. Baltimore's offense exploded for 13 runs despite missing two key players. The line movement from -146 to -130 signaled fading sharp money that we ignored.
Boston Red Sox @ New York Yankees · 7:06 PM ET
New York Yankees ML(-140)
The Yankees' pitching edge failed to materialize as their starter struggled and Boston's lineup produced despite injuries. New York's offense left too many runners on base, sealing the loss.
Seattle Mariners @ Detroit Tigers · 6:41 PM ET
Seattle Mariners ML(-128)
The Mariners' offense stalled after an early rally, while Detroit's lineup and bullpen outperformed expectations despite key injuries. We underestimated the Tigers' depth and overestimated the impact of their missing players.
Chicago White Sox @ Philadelphia Phillies · 6:41 PM ET
Chicago White Sox ML(+157)
The White Sox lost because their bullpen collapsed late, allowing 4 runs after the 6th inning. The Phillies' home record improved, and Chicago's pitching depth was a bigger factor than expected. The value was still right at +157, but baseball's randomness punished us.
San Francisco Giants @ Chicago Cubs · 2:21 PM ET
Chicago Cubs ML(-177)
The Cubs were a solid favorite at home against a struggling Giants team, but San Francisco's offense erupted for 18 runs in a complete blowout. The pick lost because the Cubs pitching staff had no answer, and the Giants bats caught fire in a way their season averages didn't predict.
Los Angeles Dodgers @ Arizona Diamondbacks · 9:41 PM ET
Los Angeles Dodgers ML(-133)
The Dodgers lost because their offense failed in clutch spots, stranding runners and going 1-for-7 with RISP. Arizona's pitching stepped up despite recent struggles, and the Dodgers couldn't overcome their own lack of timely hitting.
Kansas City Royals @ Minnesota Twins · 7:41 PM ET
Kansas City Royals ML(-108)
The Royals won because the Twins are in a tailspin, losing 7 of 10, and their pitching staff couldn't contain Kansas City's lineup. The -108 price on LowVig.ag reflected a team that was undervalued due to overall record, but the situational edge was clear.
Toronto Blue Jays @ Atlanta Braves · 7:15 PM ET
Atlanta Braves ML(-202)
The Braves lost despite superior season-long stats. The Blue Jays' offense exploded for 7 runs against a top-tier Atlanta pitching staff. This was a case of short-term variance overriding a strong statistical edge.
San Francisco Giants @ Milwaukee Brewers · 2:11 PM ET
Milwaukee Brewers ML(-183)
The Brewers were heavy favorites at home against a sub-.500 Giants team, but they managed only 4 hits and got shut out. Baseball's high variance means even strong favorites lose 28% of the time. This was a process win that resulted in a loss.
Baltimore Orioles @ Boston Red Sox · 1:36 PM ET
Boston Red Sox ML(-108)
The Red Sox dominated at home against a weak road team. Their 20-11 home record and Baltimore's 10-18 road mark were the key indicators. The line movement to -108 confirmed sharp action, and Boston delivered.
Cleveland Guardians @ New York Yankees · 1:36 PM ET
New York Yankees ML(-161)
The Yankees won because they're a superior home team with a significant edge in run production and pitching at Yankee Stadium. The Guardians' road offense struggled to generate runs, and New York's bullpen closed out the game effectively.
San Diego Padres @ Philadelphia Phillies · 1:06 PM ET
Philadelphia Phillies ML(-194)
The Phillies were the hotter team and the Padres were in a tailspin. Philadelphia's ability to win close games outweighed the chalky price. San Diego's 2-8 stretch was real, and the Phillies exploited it.
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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