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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.
1
Today's Picks
54.9%
Win Rate
1140
Total Picks
Record
600-493-47
W-L-P
Win Rate
54.9%
Units
+100.7
ROI
+9.2%
Streak
2W 🔥
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NFL Picks
Coming soon →
NBA Picks
135-114 · +11.5u · +4.6%
MLB Picks
252-219 · +6.3u · +1.3%
NHL Picks
81-100 · -0.5u · -0.3%
NCAAF Picks
Coming soon →
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%
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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Milwaukee Brewers @ Athletics · 10:06 PM ET
Milwaukee Brewers ML(-147)
The Brewers' offense exploded for 15 runs, validating their season average of 5.1 runs per game. Oakland's pitching, with a 4.61 ERA, couldn't hold a lead. Despite a shaky bullpen performance, Milwaukee's lineup depth won the day.
Washington Nationals @ San Francisco Giants · 9:46 PM ET
Washington Nationals ML(+127)
The Nationals' strong road record (21-13) and the Giants' poor home performance (12-16) created value. The sharp money moving the line from Giants -185 to -141 confirmed the play. Washington's 56% cover rate backed up the pick.
San Antonio Spurs @ New York Knicks · 8:40 PM ET
New York Knicks spread -2(-110)
The Knicks failed to cover -2 because the Spurs shot exceptionally well and New York's three-point shooting went cold. The spread was too tight for a team that didn't bring its A-game against a motivated opponent.
Philadelphia Phillies @ Toronto Blue Jays · 7:08 PM ET
Toronto Blue Jays ML(+154)
We trusted Toronto's health advantage and home record, but the Phillies' lineup depth outperformed expectations. Toronto's inability to hit in clutch spots sealed the loss. The market's sharp line on Philadelphia (-170) was correct.
Boston Red Sox @ Tampa Bay Rays · 6:41 PM ET
Boston Red Sox ML(-110)
The Red Sox offense went cold against a Rays starter who pitched deep into the game, negating the bullpen advantage we expected. Tampa Bay's recent struggles made Boston look like value, but the Rays' starter neutralized that edge.
New York Yankees @ Cleveland Guardians · 6:41 PM ET
New York Yankees ML(+100)
The Yankees' superior run differential and road record translated directly to a win. Cleveland's offense couldn't keep pace, and the Guardians' home-field advantage was overpriced. BetOnline.ag's +100 line was the best value.
Seattle Mariners @ Baltimore Orioles · 6:36 PM ET
Seattle Mariners ML(-121)
The Mariners' superior pitching (3.50 ERA vs 4.58) controlled the game from the start. Baltimore's injuries to Gillies and Vazquez weakened their bullpen and infield, allowing Seattle to pull away late. BetOnline.ag's -121 was the best price on a clear advantage.
San Francisco Giants @ Chicago Cubs · 8:31 PM ET
Chicago Cubs ML(-125)
The Cubs lost despite sharp money pushing the line from -110 to -125. The Giants' pitching held Chicago to one run, and the Cubs' offense failed in clutch spots. The pick was fundamentally sound, but baseball's randomness turned a good bet into a loss.
Seattle Mariners @ Detroit Tigers · 1:41 PM ET
Seattle Mariners ML(-110)
The Mariners' superior pitching (3.47 ERA vs. Tigers' 4.00) and Detroit's key injuries made this a clear value play. Seattle's ability to limit runs (3.8 per game) shut down a weak Tigers lineup, leading to a clean moneyline win at -110.
Tampa Bay Rays @ Miami Marlins · 1:41 PM ET
Tampa Bay Rays ML(-110)
The Rays lost because their offense went cold against Miami's pitching, scoring only one run. Despite having the better record and scoring margin, Tampa Bay couldn't produce when it mattered. This was a case of baseball variance, not a flawed pick.
Baltimore Orioles @ Toronto Blue Jays · 1:38 PM ET
Toronto Blue Jays ML(-135)
Toronto's pitching advantage held up as their starter outdueled Baltimore's. The Blue Jays' home record and Baltimore's road struggles continued to be predictive factors. The -135 line at LowVig offered solid value given the matchup.
Pittsburgh Pirates @ Atlanta Braves · 1:36 PM ET
Atlanta Braves ML(-138)
The Braves' pitching advantage was the key. A 3.22 ERA staff versus a 4.04 ERA staff is a full run difference over nine innings. Pittsburgh's banged-up lineup couldn't solve Atlanta's arms, and the final score reflected that gap.
Chicago White Sox @ Philadelphia Phillies · 1:36 PM ET
Chicago White Sox ML(+149)
The White Sox offense outperformed the Phillies' pitching, scoring 6 runs while holding Philadelphia to 3. The head to head trend continued, with Chicago winning 5 of the last 6 meetings. The +149 price at LowVig.ag provided excellent value.
Boston Red Sox @ New York Yankees · 1:36 PM ET
New York Yankees ML(-161)
The Yankees moneyline cashed because of the massive pitching gap and Boston's road struggles. New York's 3.30 ERA dominated Boston's 4.30, and the Red Sox fell to 14-20 on the road. Injuries to Elko and Rodgers left Boston's lineup thin, and the Yankees took advantage.
New York Mets @ San Diego Padres · 10:11 PM ET
New York Mets ML(-120)
The Mets had the better recent form and faced a Padres team in a tailspin, but they couldn't hit with runners in scoring position. San Diego's bullpen held them to 2 runs, and the Mets left 9 men on base. Sometimes good process doesn't guarantee a win in baseball.
Los Angeles Angels @ Los Angeles Dodgers · 10:11 PM ET
Los Angeles Dodgers ML(-340)
The Dodgers' pitching dominance overwhelmed the Angels' weak staff, just as the pre-game analysis predicted. Los Angeles held Anaheim to 2 runs while scoring 9, covering the moneyline with ease.
Milwaukee Brewers @ Colorado Rockies · 9:10 PM ET
Milwaukee Brewers ML(-261)
The Brewers' superior pitching and lineup depth overwhelmed the Rockies early. Milwaukee scored five runs in the third inning, and their bullpen shut down Colorado's comeback attempt. The pre-game analysis correctly identified the massive gap in team quality and ERA.
Boston Red Sox @ New York Yankees · 7:36 PM ET
New York Yankees ML(-111)
The Yankees couldn't overcome Boston's pitching despite having the statistical edge on paper. The sharp money movement toward the Red Sox was the key indicator we underestimated.
Cleveland Guardians @ Texas Rangers · 7:36 PM ET
Texas Rangers ML(-118)
The sharp money was on Texas, but the Rangers' offense went cold against a Guardians pitcher who dominated. Cleveland's bats showed up, while Texas couldn't score. The line movement was correct, but baseball volatility bit us.
Chicago White Sox @ Philadelphia Phillies · 4:06 PM ET
Chicago White Sox ML(+117)
The White Sox won because their offense outperformed the Phillies' pitching, just as the numbers predicted. Chicago's .738 OPS and 4-1 head to head record in the last 5 meetings were the key indicators. The line at +117 offered value because the public overvalued Philadelphia's home record.
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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