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SGP Correlation Tools

Analyze leg correlations to find +EV same-game parlays, or manually set correlation coefficients to calculate your true probability vs. the bookmaker's implied odds.

Sport:
Quick Presets:

Parlay Leg Builder

2 Legs
Odds
Enter the combined SGP odds from your sportsbook
1
--
2
--

Correlation Analysis

Independent Prob100.00%
Correlated Prob0.00%
Corr. Fair Odds--
Sportsbook Odds--
Sportsbook Prob--
Net CorrelationNo data0 of 0 pairs in the table
Enter Sportsbook OddsAdd leg odds and sportsbook SGP odds to see if the parlay is mispriced.
Edge--

Probability Comparison

Independent
100.00%
Correlated
0.00%

Pairwise Correlations

Select bet types for at least 2 legs to see correlations

Edge Detector

Team ML + Team Total Over

Strongly correlated (+0.65). If the team wins, they likely scored points. Sportsbooks frequently underprice this combo by 3-8%.

Typical mispricing: 3-8%
QB Passing + WR Receiving

The same-team QB/WR stack has a +0.50 correlation. When the QB hits his yardage, the WR often does too. Look for discounted SGP pricing.

Typical mispricing: 2-5%
1H Winner + Game Winner

Very strong correlation (+0.70). First half leaders usually win the game. Sportsbooks price this conservatively.

Typical mispricing: 4-10%

Correlation Reference Matrix NFL

Visual reference of how different bet types correlate with each other in NFL. Green indicates positive correlation (legs move together), red indicates negative correlation (legs oppose).

Team MLSpreadTm OverOpp UnderGame O/UQB PassRB RushWR RecAny TD1H WinnerTeam MLSpreadTm OverOpp UnderGame O/UQB PassRB RushWR RecAny TD1H Winner1.00+0.92+0.65+0.5500+0.300+0.25+0.70+0.921.0000+0.1500000+0.6501.000+0.60+0.45+0.25+0.40+0.35+0.35+0.55001.00-0.45000000+0.15+0.60-0.451.00+0.40000+0.1000+0.450+0.401.00-0.15+0.5000+0.300+0.2500-0.151.000+0.20000+0.4000+0.5001.00+0.300+0.250+0.35000+0.20+0.301.000+0.700+0.350+0.1000001.00
Strong Positive (+0.5 to +1.0)
Moderate Positive (+0.2 to +0.5)
Uncorrelated (-0.1 to +0.1)
Moderate Negative (-0.5 to -0.2)
Strong Negative (-1.0 to -0.5)

Correlation Strength Guide

Understanding what correlation values mean in practice for your same-game parlays.

+0.6 to +1.0Very Strong Positive

These outcomes almost always move together. If one hits, the other is very likely to hit as well.

Example: NFL First Half Winner + Game Winner (+0.70)
SGP Impact: Joint probability significantly higher than independent calculation suggests. Books often underprice these by 4-10%.
+0.3 to +0.6Moderate Positive

A meaningful tendency to move together. One outcome materially increases the probability of the other.

Example: NFL Team ML + Team Total Over (+0.65), QB Passing + Team Over (+0.45)
SGP Impact: Joint probability is noticeably higher than independent. Typical mispricing of 2-5%.
+0.1 to +0.3Weak Positive

A slight tendency to co-occur. The correlation exists but is not strong enough to rely on alone.

Example: NBA Player Rebounds + Game Total (+0.15)
SGP Impact: Minor probability adjustment. Edge is small and may not overcome sportsbook vig.
-0.1 to +0.1Uncorrelated

Outcomes are essentially independent. One does not meaningfully predict the other.

Example: NFL Team Spread + Game Total (+0.15)
SGP Impact: Standard independent multiplication is appropriate. No correlation-based edge.
-0.3 to -0.1Weak Negative

A slight tendency to oppose each other. When one hits, the other is slightly less likely.

Example: NBA Player Assists + Player Points (-0.10)
SGP Impact: Joint probability slightly lower than independent. Avoid pairing both overs in SGPs.
-1.0 to -0.3Strong Negative

Outcomes actively oppose each other. If one hits, the other is significantly less likely.

Example: Soccer BTTS Yes + Clean Sheet (-0.80)
SGP Impact: Joint probability is much lower than independent. These legs cancel each other out in SGPs.

Understanding SGP Correlations

What is Correlation in SGPs?

Correlation measures how much two outcomes tend to occur together. In same-game parlays, correlated legs are events that influence each other within the same game.

  • Positive correlation (+): Outcomes tend to happen together (e.g., team wins and scores a lot)
  • Negative correlation (-): Outcomes tend to oppose each other (e.g., clean sheet and both teams score)
  • Zero correlation: Outcomes are independent, like a coin flip and a dice roll
  • Range is -1.0 (perfect opposition) to +1.0 (perfect agreement)

How Sportsbooks Price SGPs

Sportsbooks use correlation models to adjust SGP pricing, but their models are imperfect. They add extra vig and sometimes misestimate correlation strength.

  • Books apply a "correlation penalty" — they assume some correlation but add margin on top
  • Simple legs (ML + total) are usually priced more accurately due to high volume
  • Player prop combinations often have less accurate correlation modeling
  • Cross-market combos (props + game lines) are where the biggest mispricings occur

Finding +EV SGP Combos

The key to profitable SGPs is finding combinations where the true correlated probability exceeds what the sportsbook is offering.

  • Focus on strong positive correlations (+0.4 or higher) where the joint probability is significantly above independent
  • Compare your calculated fair odds against the sportsbook SGP payout
  • Look for combos where sportsbooks underestimate correlation (e.g., QB + WR stacks)
  • Avoid negatively correlated legs that reduce your true probability below independent

Common Correlation Mistakes

Avoid these frequent errors that bettors make when building same-game parlays with correlated legs.

  • Pairing contradictory outcomes (e.g., BTTS Yes + Clean Sheet) — strong negative correlation destroys your edge
  • Assuming all same-team props are correlated — assists and points can be weakly negative
  • Ignoring the vig — even with positive correlation, the sportsbook margin may eat your edge
  • Over-correlating — just because two things seem related does not mean r is high; check the data

Find More +EV Opportunities

Combine the SGP Correlation Analyzer with our full suite of betting tools to maximize your edge across every market.

Sport:
Presets:

Parlay Legs

1
Implied: 60.00%
2
Implied: 52.38%

Correlation Matrix

Set the correlation between each pair of legs. Higher correlation means the outcomes are more likely to occur together.

12Moneyline & Over/Under Total
0.25

Results

+EV Opportunity+6.12% edge
Independent Prob31.43%Product of leg probs
Correlated Prob37.55%Adjusted for correlation
Book Implied Prob31.43%From parlay odds
Correlation Impact+19.5% vs. independent
Probability Comparison
Independent
31.43%
Correlated
37.55%
Bookmaker
31.43%
Parlay Decimal Odds3.182
Parlay American Odds+218
Kelly Stake8.92%
Half Kelly4.46%

REFERENCE Common SGP Correlation Patterns

ML + Over0.20 - 0.35

Winning teams tend to score more, pushing the total higher. Moderate positive correlation across all sports.

ML + Under-0.05 - 0.15

Winning teams sometimes run the clock or dominate defensively. Weak, sometimes negative correlation.

Player Points + Over0.35 - 0.50

More total points in the game means more individual scoring opportunities. Strong positive correlation.

Player Points + ML (own team)0.10 - 0.25

Star players scoring more slightly favors their team winning, but garbage time effects weaken this.

2 Anytime TD Scorers0.10 - 0.20

Both correlated through the game total. Higher-scoring games produce more TDs across all players.

Pitcher K + Under0.25 - 0.40

Dominant pitching leads to more strikeouts and fewer runs scored. Moderate-to-strong positive correlation.

Understanding SGP Correlation

What Is SGP Correlation?

A same-game parlay (SGP) combines multiple bets from the same sporting event into a single parlay wager. The key difference from a traditional parlay is that the legs in an SGP are not independent. When you parlay the moneyline with the total, or a player prop with the game total, the outcomes are statistically correlated. If one outcome occurs, it changes the likelihood of the other outcome.

Related Tools

Build standard cross-game parlays with the Parlay Calculator, check expected value with the EV Calculator, or determine optimal bet sizing with the Kelly Criterion Calculator.
Correlated Joint Probability (2 events)
P(A AND B) = p1 × p2 + ρ × √(p1(1-p1) × p2(1-p2))where p1, p2 = marginal probabilities, ρ = correlation coefficient

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