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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.
7
Today's Picks
55.3%
Win Rate
938
Total Picks
Record
494-400-44
W-L-P
Win Rate
55.3%
Units
+98.3
ROI
+11.0%
Streak
4L
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NFL Picks
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NBA Picks
127-108 · +10.0u · +4.3%
MLB Picks
161-141 · +9.2u · +3.0%
NHL Picks
80-99 · -1.4u · -0.8%
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NCAAB Picks
45-15 · +28.3u · +47.2%
UFC Picks
3-2 · +0.2u · +4.0%
EPL Picks
7-5 · +2.7u · +22.8%
La Liga Picks
12-5 · +7.4u · +43.3%
Serie A Picks
17-6 · +10.3u · +44.8%
Bundesliga Picks
18-5 · +14.5u · +63.2%
Ligue 1 Picks
15-9 · +4.9u · +20.3%
MLS Picks
4-3 · +7.4u · +106.1%
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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Vegas Golden Knights @ Anaheim Ducks · 9:40 PM ET
Vegas Golden Knights spread -1.5(+212)
Vegas failed to cover because of a slow start and a hot Anaheim goalie. The Ducks' perfect penalty kill and early lead forced the Knights out of their game plan.
San Antonio Spurs @ Minnesota Timberwolves · 7:40 PM ET
San Antonio Spurs spread -4.5(-106)
The Spurs had the superior record and ATS dominance, but they lost outright to a Timberwolves team that shot well and played with desperation. The 4.5-point spread was too much to overcome when the Spurs couldn't execute in the fourth quarter.
Detroit Tigers @ Kansas City Royals · 7:21 PM ET
Kansas City Royals ML(-121)
The Royals lost because they failed to capitalize on scoring opportunities and their pitching couldn't contain the Tigers' early offense. Detroit's road record was poor, but they played above it in this game, while Kansas City's lineup underperformed in clutch situations.
Atlanta Braves @ Los Angeles Dodgers · 4:11 PM ET
Atlanta Braves ML(+122)
The Braves' elite road offense and superior pitching outmatched the Dodgers. Atlanta's 27-13 record and 15-7 road mark were no accident. They covered the moneyline at +122 with ease.
St. Louis Cardinals @ San Diego Padres · 4:11 PM ET
St. Louis Cardinals ML(+114)
The Cardinals had the pitching and lineup advantage but failed to hit in clutch spots. The Padres got just enough from their fill-in starter and bullpen. Process was sound; execution was not.
Pittsburgh Pirates @ San Francisco Giants · 4:06 PM ET
Pittsburgh Pirates ML(+113)
The Pirates' superior offense (5.0 runs per game vs. 3.2) and the Giants' terrible form (8 losses in 10 games) were the key factors. The line movement to Giants -125 was public overreaction, creating value on Pittsburgh at +113. Pittsburgh's 13-run explosion confirmed the edge.
New York Knicks @ Philadelphia 76ers · 3:40 PM ET
New York Knicks spread -1(-110)
The Knicks covered easily because they were the clearly superior team, and the line failed to account for Philadelphia's key injury. The 76ers' 32% ATS rate and recent slide were red flags that the market undersold.
Lorient @ Metz · 3:00 PM ET
Lorient ML(+113)
Metz is the worst team in Ligue 1 with a 3-22 record and a moneyline record of 0-113. Lorient's scoring average of 1.4 PPG against Metz's 2.3 goals allowed per game created a massive edge. The final score 4-0 confirmed the gap in quality.
Minnesota Twins @ Cleveland Guardians · 1:41 PM ET
Cleveland Guardians ML(-153)
The Guardians had the starting pitching edge and the sharp money behind them, but their bullpen blew a two-run lead in the 7th inning. Minnesota's offense, which had been quiet all game, capitalized on Cleveland's relief collapse. The loss reinforces that baseball is a high-variance sport where bullpen performance can override any pregame advantage.
Houston Astros @ Cincinnati Reds · 1:40 PM ET
Houston Astros ML(+109)
The Astros' offense went silent, getting shut out for the third time in seven games. The Reds' bullpen stepped up despite missing two key arms, holding Houston to four hits. This loss highlights the risk of backing a team in a deep offensive slump.
Los Angeles Angels @ Toronto Blue Jays · 1:38 PM ET
Toronto Blue Jays ML(+102)
Athletics @ Baltimore Orioles · 1:36 PM ET
Athletics ML(-105)
The Athletics offense went cold, scoring only 1 run despite entering the game with winning momentum. Baltimore's bullpen shut them down over 4 scoreless innings. The pick was a solid process play, but baseball variance struck.
Tampa Bay Rays @ Boston Red Sox · 1:36 PM ET
Tampa Bay Rays ML(+114)
The Rays' superior pitching and Boston's recent slide were the key factors. Tampa's staff held Boston to one run, while their offense did just enough. The plus money value on BetUS made this a no-brainer.
Washington Nationals @ Miami Marlins · 12:16 PM ET
Miami Marlins ML(-132)
The Marlins won because Washington's injury-ravaged pitching staff couldn't contain Miami's lineup. The Nationals' bullpen, missing multiple key relievers, allowed the Marlins to plate eight runs. Our pre-game analysis correctly identified this weakness despite the line moving against Miami.
AS Roma @ Parma · 12:00 PM ET
AS Roma ML(-205)
Roma's superior attacking output (1.5 goals per game vs. Parma's 0.7) and strong form (7-3 in last 10) outweighed their defensive vulnerabilities. The -205 at Bovada offered value against a weaker opponent.
Arsenal @ West Ham United · 11:30 AM ET
Arsenal ML(-165)
Arsenal's elite defense and consistent offense were too much for a struggling West Ham side. The Gunners controlled the game from start to finish, and the clean sheet was no surprise given their defensive record.
Colorado Avalanche @ Minnesota Wild · 9:10 PM ET
Colorado Avalanche spread -1.5(+192)
Colorado's elite road record and goal differential suggested a strong puck line cover, but the team failed to execute. Minnesota dominated possession and scoring chances, turning the game into a blowout. The pick lost because the Avs simply didn't play to their standards.
Oklahoma City Thunder @ Los Angeles Lakers · 8:40 PM ET
Los Angeles Lakers spread +8.5(-106)
The Lakers' 74% ATS record and a +5.4 point edge looked like a gift, but the Thunder proved why they are the best team in the NBA. Sharp money pushed the line to -8.5, and the Lakers had no answer for OKC's offense. The model's edge was real, but the matchup was a nightmare.
Philadelphia Union @ New England Revolution · 7:30 PM ET
New England Revolution ML(+165)
New England's superior form and home advantage were underpriced at +165. Philadelphia's 1-7 record and lack of scoring punch made them a clear fade. The Revs controlled the game from start to finish.
St. Louis Cardinals @ San Diego Padres · 7:16 PM ET
St. Louis Cardinals ML(+120)
The Cardinals took an early lead but couldn't hold it. The Padres' bullpen dominated, and St. Louis' offense went silent after the first. The market's line movement toward the Padres was a signal we underestimated.
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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