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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
53.8%
Win Rate
1473
Total Picks
Record
766-659-48
W-L-P
Win Rate
53.8%
Units
+82.5
ROI
+5.8%
Streak
2W 🔥
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NFL Picks
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NBA Picks
136-115 · +11.4u · +4.5%
MLB Picks
411-376 · -8.4u · -1.1%
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81-100 · -0.5u · -0.3%
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45-15 · +28.3u · +47.2%
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9-6 · +7.0u · +46.6%
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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
8-8 · +7.4u · +46.5%
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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Arizona Diamondbacks @ Cleveland Guardians · 7:11 PM ET
Arizona Diamondbacks ML(+120)
Arizona's win validated our fade of a Guardians team in freefall. Cleveland's poor recent form and subpar home splits made the +120 price a value trap for the public. The Diamondbacks' sharper play and the Guardians' offensive struggles sealed the deal.
Miami Marlins @ New York Mets · 7:11 PM ET
Miami Marlins ML(+107)
The Marlins won because they were the better team, and the market's overrating of the Mets' home field created a value spot. New York's poor moneyline record at home (19-27) and Miami's recent head-to-head success (3 of last 5) were the indicators. The +107 price was a gift.
St. Louis Cardinals @ Toronto Blue Jays · 7:08 PM ET
St. Louis Cardinals ML(+150)
The Cardinals lost because Toronto's pitching stifled their offense, holding them to one run. Our read on Toronto's poor moneyline record and home struggles didn't translate, as the Blue Jays delivered a solid all-around performance. The loss highlights the volatility of MLB single-game outcomes, even when situational trends favor the underdog.
Philadelphia Phillies @ Baltimore Orioles · 7:06 PM ET
Philadelphia Phillies ML(+104)
The Phillies lost because their recent slump continued, and the Orioles outperformed expectations at home. The line movement favored Philly, but the team's form and Baltimore's clutch hitting proved decisive. This loss underscores the risk of backing a team in a downturn, even with a value price.
Pittsburgh Pirates @ Cincinnati Reds · 6:11 PM ET
Cincinnati Reds ML(+118)
The Reds won because they were the better team in a close game, and the plus price reflected value. Pittsburgh's recent struggles were real, and Cincinnati's home edge proved decisive. The market's line movement and the Reds' ATS record pointed to this outcome.
New York Yankees @ Chicago Cubs · 2:21 PM ET
New York Yankees ML(+139)
The Yankees won because their superior pitching (3.36 ERA vs. 4.15) dominated the Cubs' lineup. The public's overreaction to Chicago's recent success created value on New York, and the sharp money was right.
Boston Red Sox @ Athletics · 9:41 PM ET
Boston Red Sox ML(-180)
The Red Sox won because their superior pitching and offense outperformed Oakland's. The gap in ERA and overall team quality was decisive, even with a late scare. The -180 price was fair value for a team that covers at a 69% clip against the spread.
Pittsburgh Pirates @ Cincinnati Reds · 7:11 PM ET
Cincinnati Reds ML(+102)
The Reds won as home underdogs, backed by their strong ATS record and the Pirates' recent road struggles. The +102 price offered value, and Cincinnati delivered a 3-2 victory.
Miami Marlins @ New York Mets · 7:11 PM ET
Miami Marlins ML(+114)
The pick missed because the Mets finally broke their losing streak against Miami, and the Marlins' offense failed to produce. The plus money price reflected the market's skepticism about Miami's ability to sweep the season series, and that skepticism proved justified.
Chicago Cubs @ St. Louis Cardinals · 2:16 PM ET
Chicago Cubs ML(+105)
The Cubs were the better team on paper and proved it on the field. Their road record and the Cardinals' poor recent form were the key indicators. BetUS offered the best value at +105.
New York Yankees @ Chicago White Sox · 2:11 PM ET
New York Yankees ML(+100)
The Yankees lost because their offense failed to produce against a White Sox pitcher who found his rhythm. Chicago's sharp money movement from -104 to -110 was a correct signal, not a trap. The Yankees' superior season ERA and road record didn't translate into runs.
Kansas City Royals @ Minnesota Twins · 1:41 PM ET
Kansas City Royals ML(+123)
The Royals got a lead but their bullpen blew it. Minnesota's shorthanded lineup still managed four runs against Kansas City's relievers. This loss highlights the Royals' vulnerability in late innings.
Chicago Cubs @ St. Louis Cardinals · 7:46 PM ET
Chicago Cubs ML(-103)
The Cubs' offense failed to produce, scoring only 2 runs against a Cardinals team that allows 4.5 per game. St. Louis played better at home than their record suggests, and the Cubs couldn't capitalize on scoring chances.
Kansas City Royals @ Minnesota Twins · 7:41 PM ET
Kansas City Royals ML(+175)
The Twins were overpriced based on reputation, not results. Their losing record and key injuries created a clear value gap. The Royals had recent head to head success, and the market failed to adjust. Sharp bettors recognized the mismatch and got paid at +175.
Toronto Blue Jays @ Washington Nationals · 1:06 PM ET
Washington Nationals ML(+106)
The Nationals offense failed to show up, scoring only 2 runs despite their season average of 5.5. Toronto's pitching, which has been poor, held them in check. Sometimes the better team on paper just loses.
Arizona Diamondbacks @ Pittsburgh Pirates · 12:36 PM ET
Arizona Diamondbacks ML(+116)
The market overvalued Pittsburgh's home record, pricing them as -127 favorites despite Arizona's superior overall record and elite road ATS performance. Arizona's pitching shut down the Pirates, confirming the sharp read that the line was inflated.
Houston Astros @ Los Angeles Angels · 9:39 PM ET
Los Angeles Angels ML(-104)
The Angels took an early lead but couldn't sustain it. Houston's pitching adjustments after the fourth inning neutralized the Angels' lineup, and a three-run seventh inning by the Astros flipped the game. The pick missed because the Angels' bullpen faltered, not because the value was wrong.
New York Yankees @ Chicago White Sox · 7:41 PM ET
Chicago White Sox ML(+104)
The White Sox lost 3-2 despite strong bullpen work. They left seven runners on base and went 1-for-7 with runners in scoring position. The sharp line movement from +121 to +103 was correct, but execution failed.
Kansas City Royals @ Minnesota Twins · 7:41 PM ET
Kansas City Royals ML(+160)
Toronto Blue Jays @ Washington Nationals · 6:46 PM ET
Toronto Blue Jays ML(+119)
Our pick hit because Toronto's pitching edge and Washington's injuries were undervalued at +119. The Blue Jays' starter outperformed the Nationals' depleted staff, and the bullpen held the lead. LowVig.ag's line offered the best value on a sharp contrarian play.
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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