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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.
9
Today's Picks
54.3%
Win Rate
720
Total Picks
Record
372-313-35
W-L-P
Win Rate
54.3%
Units
+71.8
ROI
+10.5%
Streak
1L
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NFL Picks
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NBA Picks
108-93 · +7.2u · +3.6%
MLB Picks
86-83 · +0.6u · +0.4%
NHL Picks
73-94 · -5.4u · -3.2%
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NCAAB Picks
45-15 · +28.3u · +47.2%
UFC Picks
3-2 · +0.2u · +4.0%
EPL Picks
5-1 · +4.7u · +78.0%
La Liga Picks
5-4 · -0.5u · -5.9%
Serie A Picks
13-6 · +7.6u · +40.0%
Bundesliga Picks
14-3 · +14.0u · +82.4%
Ligue 1 Picks
12-7 · +4.4u · +23.4%
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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VfB Stuttgart @ Bayern Munich · 11:30 AM ET
VfB Stuttgart ML(+545)
We missed because we overvalued Stuttgart's recent form against Bayern's proven dominance. Their 24-1 record wasn't a fluke, and their quality showed through when the game was on the line. Sometimes the obvious pick is the right one.
Rennes @ Strasbourg · 11:15 AM ET
Rennes ML(+161)
The pick hit because Rennes' superior 13-7 record and recent winning form translated directly to the pitch, while Strasbourg's two-game tie streak exposed their lack of momentum. The market mispriced this matchup, offering +161 on the better team, and GTbets provided the sharp value that cashed.
AC Milan @ Hellas Verona · 9:00 AM ET
AC Milan ML(-178)
The pick hit because we correctly identified the massive talent gap between these teams. AC Milan's 18-5 record proved decisive against a struggling Hellas Verona side. Backing the superior team at -178 on GTbets was the sharp move.
Auxerre @ AS Monaco · 9:00 AM ET
AS Monaco ML(-168)
The pick pushed because Monaco, despite their clear statistical advantage and home field, settled for a draw. The process of backing the better team at -168 was sound, but the result didn't materialize.
Torino @ Cremonese · 6:30 AM ET
Torino ML(+166)
The pick pushed because the core logic was sound but incomplete. Cremonese's 0-50 moneyline record held true, as they didn't win. However, Torino failed to capitalize on their defensive weaknesses, resulting in a scoreless draw instead of the needed victory.
San Diego Padres @ Los Angeles Angels · 9:39 PM ET
Los Angeles Angels ML(-101)
The pick missed because the Angels' offense, which was averaging 5.4 runs, was completely silenced. The Padres' pitching responded after an 8-0 loss, and the situational revenge angle we underestimated proved decisive.
Houston Rockets @ Los Angeles Lakers · 8:40 PM ET
Houston Rockets spread -5.5(-101)
The pick missed because the Rockets' injury-depleted roster couldn't execute against the Lakers. The market overestimated Houston's ability to overcome eight key absences, and the line movement proved to be a false signal this time.
Toronto Blue Jays @ Arizona Diamondbacks · 8:11 PM ET
Arizona Diamondbacks ML(-145)
The pick hit because the pre-game data was accurate and predictive. Arizona's strong home record and Toronto's road struggles played out directly in the game script, making the -145 moneyline a value play that delivered a straightforward win.
Los Angeles Dodgers @ Colorado Rockies · 8:11 PM ET
Los Angeles Dodgers ML(-263)
The pick missed because Colorado's pitching outperformed expectations, holding the Dodgers' potent offense to three runs despite their 5.9 runs per game average. Even with strong statistical backing, baseball's variance allowed the underdog to secure a one-run victory.
Philadelphia Flyers @ Pittsburgh Penguins · 8:00 PM ET
Philadelphia Flyers spread +1.5(-200)
The pick hit because Philadelphia's proven ability to cover spreads, highlighted by their 74% cover rate this season, held true. They won outright on the road, easily covering the +1.5 spread with a 3-2 victory, validating the value we identified at GTbets.
Texas Rangers @ Seattle Mariners · 7:16 PM ET
Texas Rangers ML(+124)
The pick missed because Seattle's pitching outperformed its season averages and shut down Texas' offense. The Mariners' home field advantage and timely hitting turned the statistical edge we identified into a loss.
Baltimore Orioles @ Cleveland Guardians · 6:11 PM ET
Baltimore Orioles ML(+125)
The pick missed because Cleveland's pitching neutralized Baltimore's offense, holding them to two runs. Our value play on the Orioles' strong moneyline record didn't account for the Guardians' execution in this specific matchup.
Atlanta Hawks @ New York Knicks · 6:10 PM ET
New York Knicks spread -5.5(-104)
The pick hit because the Knicks' 30-10 home record and 58% cover rate translated directly to the court. Sharp money drove the line from -5 to -5.5, signaling confidence that proved correct as New York controlled the game throughout.
Detroit Tigers @ Boston Red Sox · 4:11 PM ET
Detroit Tigers ML(-142)
The pick hit because Detroit was the fundamentally better team, backed by their .500 record versus Boston's 7-13 struggles. LowVig.ag's -142 line offered sharp value, and the Tigers executed with a clean 4-1 win.
Milwaukee Brewers @ Miami Marlins · 4:11 PM ET
Milwaukee Brewers ML(-101)
The pick hit because we backed the statistically superior team at a fair price. Milwaukee's offense performed to its 5.2 runs per game average, and their pitching held against a weaker Marlins lineup. Getting the Brewers at -101, with Everygame at +100, provided clear value on the better squad.
Tampa Bay Rays @ Pittsburgh Pirates · 4:06 PM ET
Pittsburgh Pirates ML(-160)
The pick hit because the Pirates' pitching dominance was the deciding factor. Their 3.16 team ERA stifled the Rays' offense, allowing just one run while the lineup produced five. Backing the better team at home with a clear mound advantage proved to be the sharp move.
Chicago White Sox @ Athletics · 4:06 PM ET
Athletics ML(-155)
The pick missed because the White Sox offense exploded against Oakland's pitching, completely overriding the pre-game data advantage. The Athletics' solid recent form and home record meant nothing in this specific matchup.
San Francisco Giants @ Washington Nationals · 4:06 PM ET
San Francisco Giants ML(-112)
The pick hit because the Giants' superior pitching, highlighted by their 4.17 team ERA against Washington's 5.91, created a decisive advantage. San Francisco's offense exploited that weakness, scoring 10 runs to secure the win at the -112 value price from Pinnacle.
Minnesota Timberwolves @ Denver Nuggets · 3:40 PM ET
Denver Nuggets spread -6(-110)
The pick hit because Denver's home dominance and superior form proved too much for Minnesota. The Nuggets' 28-13 home record and recent 4-1 stretch created a mismatch that the Timberwolves' 3-2 slump couldn't overcome. BetAnything's -110 line offered clear value on a team that controlled the game from tip-off.
Nice @ Lille · 3:05 PM ET
Lille ML(-186)
The pick pushed because Lille failed to win at home against a struggling Nice side. Our analysis correctly identified the massive record disparity and Lille's perfect 15-0 mark when favored, but the game ended in a 0-0 draw, resulting in a refund.
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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