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Notifications
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.
24
Today's Picks
53.9%
Win Rate
493
Total Picks
Record
253-216-24
W-L-P
Win Rate
53.9%
Units
+49.0
ROI
+10.4%
Streak
1W 🔥
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NFL Picks
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NBA Picks
88-74 · +7.4u · +4.6%
MLB Picks
24-32 · -4.8u · -8.6%
NHL Picks
61-83 · -10.3u · -7.1%
NCAAF Picks
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NCAAB Picks
43-11 · +30.4u · +56.3%
UFC Picks
0-1 · -1.0u · -100.0%
EPL Picks
3-0 · +2.0u · +66.9%
La Liga Picks
5-2 · +1.5u · +21.0%
Serie A Picks
6-3 · +3.2u · +35.1%
Bundesliga Picks
7-1 · +6.9u · +86.7%
Ligue 1 Picks
8-4 · +3.0u · +25.4%
MLS Picks
3-3 · +5.8u · +96.3%
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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Atlanta Braves @ Arizona Diamondbacks · 9:46 PM ET
Atlanta Braves ML(-107)
The pick hit because the Braves' superior pitching and team metrics played out exactly as projected. Atlanta's 2.00 ERA staff delivered a shutout, exploiting Arizona's weak 5.25 ERA and high runs allowed. Backing the better team at -107 on LowVig.ag was the sharp move.
Houston Astros @ Athletics · 9:41 PM ET
Houston Astros ML(-102)
The pick missed because we overvalued Houston's early-season record and undervalued Oakland's ability to exploit a weak pitching performance. The market movement against the Astros proved correct, showing that situational factors can override statistical trends.
Utah Jazz @ Houston Rockets · 8:10 PM ET
Houston Rockets spread -17(-104)
The pick hit because the talent and situational mismatch we identified was even more pronounced than expected. Houston's home dominance and playoff motivation against Utah's poor road record created a perfect storm, and the 5.8-point line value we had at Pinnacle proved accurate.
Boston Celtics @ Milwaukee Bucks · 8:10 PM ET
Boston Celtics spread -16.5(-106)
The pick hit because the talent and form gap was exactly as advertised. Boston's superior record and Milwaukee's recent collapse created a perfect storm, allowing the Celtics to easily cover a spread the market overthought.
Atlanta Hawks @ Brooklyn Nets · 7:40 PM ET
Atlanta Hawks spread -16(-106)
The pick hit because Atlanta's superior consistency and road performance translated directly to the court. They dominated from tip-off, leveraging their season-long strengths to cover the -16 spread easily, confirming the value in backing them at -106.
Chicago Bulls @ New York Knicks · 7:40 PM ET
New York Knicks spread -15.5(-105)
The pick hit because we backed a proven home dominator against a struggling opponent. The Knicks' 27-9 home record and 59% ATS rate this season translated directly to a 40-point blowout, covering -15.5 with ease as their offense exploded and defense locked down.
Indiana Pacers @ Charlotte Hornets · 7:10 PM ET
Charlotte Hornets spread -15.5(-106)
The pick hit because the massive talent gap between the Hornets and Pacers played out exactly as the ATS records predicted. Charlotte's 70-46-0 cover rate against Indiana's 35-55-0 failure rate created a clear edge that the market undervalued, making the -15.5 spread at -106 a sharp value play.
Minnesota Timberwolves @ Philadelphia 76ers · 7:10 PM ET
Philadelphia 76ers spread -2(-110)
The pick hit because Philadelphia's situational strength overcame their injury absences. Their 7-3 record in the last 10 games and home court advantage translated into a decisive cover, validating the sharp line movement we identified.
Philadelphia Flyers @ New York Islanders · 7:10 PM ET
Philadelphia Flyers spread +1.5(+126)
The pick hit because the Flyers' elite 77% cover rate proved predictive. They are a disciplined team that consistently exceeds expectations on the road, while the Islanders consistently fail to cover spreads. The situational value at Everygame (+130) provided an edge that the sharp money recognized.
Baltimore Orioles @ Pittsburgh Pirates · 4:13 PM ET
Pittsburgh Pirates ML(+108)
The pick hit because the Pirates' early-season form, specifically their 2-0 moneyline record, indicated they were undervalued as home underdogs. Their offense performed to its average, scoring 5 runs, and they secured a close win, validating the value found at Pinnacle's +108 line.
Philadelphia Phillies @ Colorado Rockies · 4:11 PM ET
Colorado Rockies ML(+162)
The pick missed because the core premise was wrong. We identified a Phillies pitching weakness, but the Rockies' offense failed to exploit it at all, while Philadelphia's bats dominated from the start.
Cincinnati Reds @ Texas Rangers · 4:05 PM ET
Texas Rangers ML(-157)
The pick missed because Cincinnati's offense outperformed its season average, scoring five runs against a Texas pitching staff that didn't deliver its expected edge. The Rangers' early efficiency didn't translate into a win, showing that pre-game data alone isn't always enough to predict outcomes.
Toronto Blue Jays @ Chicago White Sox · 2:11 PM ET
Toronto Blue Jays ML(-200)
The pick missed because Chicago's pitching, despite terrible season-long numbers, performed above expectation in this specific game. Toronto's offense underperformed its 4.5-run average against a staff that had been hemorrhaging runs.
San Diego Padres @ Boston Red Sox · 2:11 PM ET
San Diego Padres ML(+105)
The pick missed because Boston's pitching, despite its 8.63 ERA, performed well enough to win. The Red Sox, playing at home with desperation, secured a victory our model didn't see coming. The value was there, but the game script favored the underdog we were betting against.
Miami Marlins @ New York Yankees · 1:36 PM ET
New York Yankees ML(-160)
The pick hit because the Yankees' elite pitching, with a 1.01 team ERA, controlled the game as predicted. Their offense delivered eight runs, exploiting the matchup against Miami's weaker staff.
St. Louis Cardinals @ Detroit Tigers · 1:11 PM ET
St. Louis Cardinals ML(+150)
The pick missed because the Cardinals' offense failed to show up. Our analysis correctly identified the value at +150, but the situational context of a desperate home team proved more powerful than the raw numbers. The Tigers executed, the Cardinals didn't.
Los Angeles Dodgers @ Washington Nationals · 1:05 PM ET
Los Angeles Dodgers ML(-250)
The pick hit because the Dodgers' clear pitching advantage, highlighted by their superior team ERA, translated directly to the field. Their offense then overwhelmed the Nationals' weaker staff, turning a theoretical edge into a 13-run explosion.
San Antonio Spurs @ Los Angeles Clippers · 10:40 PM ET
San Antonio Spurs spread -4(-106)
The pick hit because the Spurs' historic ATS dominance continued exactly as predicted. Their 43-0 record isn't a fluke; it's systematic excellence that overwhelmed a struggling Clippers team. The value at -106 on the -4 spread was the optimal play, and the game played out exactly as the pre-game analysis outlined.
New Orleans Pelicans @ Portland Trail Blazers · 10:10 PM ET
New Orleans Pelicans spread +7(-111)
The pick missed because the Pelicans' perfect 120-0-0 ATS streak ended. Portland's strong shooting and execution overcame the historical trend, and the Pelicans failed to cover by 5 points.
Cleveland Cavaliers @ Golden State Warriors · 10:10 PM ET
Cleveland Cavaliers spread -9.5(-110)
The pick missed because the Cavaliers, while the better team, could not maintain a double-digit lead against a resilient Warriors squad at home. The line moved from -8.5 to -9.5, offering no value on Cleveland, and Golden State's bench performance kept the game closer than expected.
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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