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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.
4
Today's Picks
54%
Win Rate
1323
Total Picks
Record
689-587-47
W-L-P
Win Rate
54%
Units
+79.2
ROI
+6.2%
Streak
1W 🔥
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NBA Picks
136-115 · +11.4u · +4.5%
MLB Picks
337-308 · -12.6u · -2.0%
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81-100 · -0.5u · -0.3%
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NCAAB Picks
45-15 · +28.3u · +47.2%
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6-6 · -2.3u · -19.1%
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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San Diego Padres @ Los Angeles Dodgers · 10:11 PM ET
Los Angeles Dodgers ML(-189)
The Dodgers' superior offense and home field advantage overwhelmed the Padres. San Diego's pitching staff couldn't contain LA's lineup, which scored 12 runs. The pre-game statistical gaps in runs per game, ERA, and OPS were decisive.
Detroit Tigers @ Texas Rangers · 8:06 PM ET
Detroit Tigers ML(-105)
The Tigers' pitching staff collapsed, allowing 10 runs on 14 hits. Texas's offense overperformed despite missing key bats, and Detroit couldn't keep up. The value was there, but execution wasn't.
Tampa Bay Rays @ Kansas City Royals · 7:41 PM ET
Tampa Bay Rays ML(-120)
The Rays were the clearly superior team with a massive edge in pitching and record. The -120 price was value against a fading Royals squad.
St. Louis Cardinals @ Atlanta Braves · 7:16 PM ET
Atlanta Braves ML(-110)
The Braves' pitching staff surrendered 11 runs, well above their season average of 3.7. St. Louis jumped ahead early with 6 runs in the first three innings, and Atlanta never recovered. The loss reflects a bad night for a good team, not a flawed pick.
Chicago White Sox @ Cleveland Guardians · 6:41 PM ET
Chicago White Sox ML(-115)
The White Sox had the offensive edge but left too many runners on base and committed a costly error. The Guardians' bullpen shut them down late, flipping a one-run lead into a loss.
Miami Marlins @ Colorado Rockies · 8:41 PM ET
Miami Marlins ML(-145)
The Marlins entered on a 7-3 run but managed only three runs at Coors Field. Colorado snapped their losing streak by jumping ahead early, and Miami's offense couldn't recover. The altitude and Rockies' home advantage outweighed recent form.
Cincinnati Reds @ Milwaukee Brewers · 8:11 PM ET
Milwaukee Brewers ML(-152)
The Brewers' home record and superior pitching were the difference. Cincinnati's 39-45 record and 20-23 road mark showed they couldn't hang with a playoff-caliber team. The line at -152 offered value because the true probability was closer to -200.
Minnesota Twins @ Houston Astros · 8:11 PM ET
Houston Astros ML(-136)
The Astros got blown out early as Minnesota's offense exploded for 5 runs in the first three innings. Houston's pitching failed to contain the Twins' lineup, and their own hitters couldn't mount a comeback. The line movement to -136 suggested sharp action, but the Astros simply underperformed across the board.
Tampa Bay Rays @ Kansas City Royals · 7:41 PM ET
Tampa Bay Rays ML(-147)
The Rays' pitching advantage was the difference. Tampa Bay's 3.78 ERA vs Kansas City's 4.88 meant the Royals were outmatched from the start. The Rays held them scoreless, proving the line at -147 was value.
St. Louis Cardinals @ Atlanta Braves · 7:16 PM ET
Atlanta Braves ML(-127)
The Braves were the superior team on paper and at home, with a significantly better ERA and run differential. The price at -127 on LowVig.ag was undervalued, and the game played out exactly as the numbers suggested.
New York Mets @ Toronto Blue Jays · 3:08 PM ET
Toronto Blue Jays ML(-110)
The Blue Jays had a clear edge in bullpen health and home field, but the Mets' starter dominated, shutting out Toronto. Our pick was sound based on available data, but baseball's variance punished us.
San Diego Padres @ Chicago Cubs · 2:21 PM ET
Chicago Cubs ML(-120)
The Cubs were the better team at home, and the Padres' losing streak was a clear red flag. Chicago's offense exploded, and the Padres never had a chance.
Washington Nationals @ Boston Red Sox · 1:36 PM ET
Boston Red Sox ML(-138)
The Red Sox failed to capitalize on their strong home record and recent form, getting blown out early by a Nationals team that was due for a win. The offense went cold, and the pitching couldn't contain Washington's hitters. A sharp loss that reminds us even the best situational spots can backfire.
Detroit Tigers @ New York Yankees · 1:36 PM ET
New York Yankees ML(-131)
The Yankees lost because Gerrit Cole got shelled early and the offense couldn't overcome a 6-run deficit. The Tigers played loose and caught every break. This was a bad beat on a fundamentally sound pick.
Texas Rangers @ Cleveland Guardians · 1:11 PM ET
Texas Rangers ML(-102)
The Rangers' 5-game win streak and 4-1 record in recent meetings with Cleveland suggested value at -102, but the Guardians' offense erupted for 9 runs at home. The historical edge and form didn't translate, showing that MLB moneyline bets on short favorites carry inherent risk.
Texas Rangers @ Cleveland Guardians · 7:11 PM ET
Cleveland Guardians ML(-143)
The Guardians lost despite having clear advantages because their bullpen melted down and Texas got unexpected production from a depleted lineup. It's a reminder that in baseball, even 3/5 confidence picks can blow up due to single-inning collapses.
Washington Nationals @ Boston Red Sox · 7:11 PM ET
Washington Nationals ML(+155)
The Nationals' strong road record (26-17) and spread cover rate (58%) suggested value at +155, but Boston's elite home record (28-14) and lineup depth proved decisive. The Red Sox's 6 runs highlighted Washington's pitching vulnerability, a factor we underestimated.
New York Mets @ Toronto Blue Jays · 7:08 PM ET
Toronto Blue Jays ML(-120)
The Mets' road woes and injury-depleted lineup couldn't produce offense, while Toronto's pitching held firm. The -120 line at LowVig.ag offered value on a team that simply had more to play for.
Detroit Tigers @ New York Yankees · 7:06 PM ET
New York Yankees ML(-125)
The Yankees lost because their offense went silent while Detroit's bats exploded for 7 runs. The public hammered New York at -125, but the line didn't move enough to indicate sharp support. This was a classic overvalued favorite spot.
Chicago White Sox @ Baltimore Orioles · 6:36 PM ET
Baltimore Orioles ML(-122)
The Orioles lost because their starting pitcher, Kyle Bradish, was ineffective from the first inning, giving up 4 runs early. The offense never recovered against White Sox pitching, managing only 2 runs on 6 hits.
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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