Best Numbers For Super Bowl Squares: Full Cheat Sheet (2026)
We provide a matchup-specific Super Bowl 60 Squares Cheat Sheet based on games with similar spreads and expected scoring.
by Jason Lisk - Feb 6, 2026
You may want Jaxon Smith-Njigba, but you do not want the 1-1 Square in Super Bowl Squares.
Super Bowl Squares are a staple of watch parties nationwide, adding an extra layer of excitement to the big game.
In this post, we break down the expected value of each square for Super Bowl 60 between the Seattle Seahawks and the New England Patriots. Our analysis is based on historical scoring trends for 566 similar games based on point spread, total, and other metrics. The goal here is to provide an objective approach to assessing square value.
In many Super Bowl Squares pools, numbers are assigned at random, leaving everything to chance. However, in some formats, you may have the opportunity to buy, bid on, or select unclaimed squares. This guide will help you understand your odds and identify the most valuable options when you have a choice.
- How Super Bowl Squares Pools Work
- Estimating the Value of Squares for Super Bowl 60
- Assigning Monetary Value to the Super Bowl Squares
- FULL CHEAT SHEET: Best Numbers For Super Bowl Squares
How Do Super Bowl Squares Pools Work?
In popular Super Bowl Squares pools, each entry is associated with a pair of single-digit numbers (0 to 9), one for each team. For example, an entry this year might have 4 for New England and 7 for Seattle.
The numbers associated with each entry can be determined in a variety of ways, such as:
- Random assignment by the pool administrator
- A “draft” where players pick their squares or sign up and claim available squares
- An auction among players
Each number represents the last digit of the score for the associated team. Because there are 10 potential numbers for each team, 100 unique squares (10 x 10) are available.
Once all squares have been assigned or sold, the score of the Super Bowl at various points (usually at the end of each quarter) will determine who wins prizes.
For example, let’s say that the halftime score is New England 14 and Seattle 7. In that case, the squares associated with New England 4 and Seattle 7 would win the second-quarter pot.
Not All Squares Are Worth The Same
We will use data to estimate the value for all 100 Super Bowl Squares in 2026. Why? Some squares are worth much more than others in giving you a chance to win a prize.
Because NFL point scoring happens in certain specific increments (e.g. 3 points for a field goal, 7 points for a touchdown plus an extra point), certain numbers aren’t often the final digits of scores that are multiples or combinations of common scoring increments; those numbers make for lousy squares, and vice versa.
How To Value Squares
Some people will try to dig up data on historical NFL score frequencies to research and value squares. That is a step in the right direction, but we can go further by targeting our analysis of historical score frequency toward games that were most similar to Super Bowl 60 between the Patriots and Seahawks.
Even if you are randomly assigned your square(s) in your pool, the most common rule variation, you can still use the square value estimates in this post to understand your rough expectations for prize winnings. In addition, you can use the value estimates to trade, barter, buy, or sell squares after your pool’s drawing and hopefully pick up a bigger one.
Of course, if you can bid on or otherwise select your squares, you can use the estimated square values as a guide for which square to pick next or how much it’s worth paying for a certain square.
Related: See our Super Bowl Prop Bets article for our top plays across player props, game props, MVP picks, and more.
Estimating the Value of Super Bowl Squares for Super Bowl 60
To estimate the value of squares for Super Bowl 60, we examined scores from relevant past games to see how often each scoring outcome occurred in each quarter.
Why Focus on Games From 2015 to Present
We used a sample of 566 games, all played since 2015, for our data. Why since 2015? That’s when the NFL adopted changes to the extra-point attempt rules, making misses more common and significantly affecting score distributions and the likelihood of teams ending up on different combinations because they would later go for two, etc.
How We Chose “Comparable” Games
We then included a mix of regular-season games with similar spreads and totals, as well as playoff games (with a spread of 7 points or fewer), and analyzed the quarter-by-quarter and end-of-game scoring in that sample.
By taking this approach, we sought to weigh historical game relevance against a larger data sample.
The Tradeoff Between Relevance And Sample Size
We could have included every NFL game over the last 30 years and analyzed quarter-end scoring patterns across thousands of historical games.
However, NFL scores from 1995 don’t seem especially relevant today, given the extra-point rule changes and significantly higher scoring in recent years, as passing has become more prevalent in the NFL.
On the other hand, we could also have been stricter with our point spread and over/under cutoffs and limited our dataset to games that were even more similar to Super Bowl 60 in terms of pre-game betting lines. However, that would have further reduced the sample size.
How To Interpret Square Values
We think this set of 566 games is a good trade-off, though admittedly it is not a large sample size.
Still, any individual random outcome in one quarter still represents less than 0.2% of outcomes. Five score outcomes, some happening and some not, could swing the value estimate by 1%. The square values we’ve generated from these past outcomes should be treated as estimates rather than precise values.
For Super Bowl 60, for instance, we are confident that the 7-0 square is significantly more valuable than the 4-6 square and that 4-6 is far more valuable than 5-5. But squares valued closely to one other should be seen as equal/in the same ballpark.
Related: Check out our Super Bowl 60 Picks article for our full spread, total, and moneyline breakdown.
Assigning Values to the Super Bowl Squares
At the very end of this post, you’ll find two big charts:
- One will have the percentage of times each number combination hit each quarter in our 566-game sample of similar historical games. This chart can be used to calculate each square’s expected value for various possible scoring systems.
- The other chart is a value chart, with a by-quarter and total overall estimated value, in dollars, for each Super Bowl 60 square. This chart assumes a specific pool scoring system (explained next).
For the sake of quick understanding and comparison, the dollar values of squares in the value chart are based on a sample pool where:
- Each entry costs $10.
- There are 100 entries.
- Prizes are paid out by quarter.
- 20% of the pot goes to the 1st quarter, 2nd quarter, and 3rd quarter winners; 40% goes to the final score winner.
Using Score Frequencies To Determine Square Values
As an example of the underlying data at work here:
- It turns out that 78 of the first-quarter scores in our 566-game sample of games similar to Super Bowl 60 would have been won by the 7-0 square (where the favorite, Seattle, is the 7 and New England is the 0). That was the highest first-quarter frequency for any number.
- That means the 7-0 square would have been the 1st quarter winner 14.0% of the time.
- With a $200 first quarter pot in our example, the expected value of the 0-0 square for the first quarter is $28.00.
- The total value of the 7-0 square will be higher than that because other quarters can also still end in 7-0.
Understanding the Value Table
The $28.00 number is in the “1st Quarter” column of the value table, while the “Total Value” represents the sum of the values for all four quarters.
The chart is sorted by descending overall estimated value, but you can sort it by each quarter or square number.
One final note: The 48 lowest-value number combinations are estimated between $0 and $5.00. The ordering of those 48 combinations is largely random since we’re delving deep into some infrequent historical scores by that point. So we wouldn’t put too much stock in saying that, for instance, 2-5 is better than 5-5.
Betting on Super Bowl Squares? Some apps let you wager on squares, not just run a grid with friends. Take a look, and don’t miss our Super Bowl betting promos page so you can maximize your sign-up bonus.
Best Numbers For Super Bowl Squares: Value Chart (2026)
We provide two tables below. Use the first table to compare expected payouts for each square (for each $10 per entry) and the second to analyze how likely different squares are to hit at various points in the game.
Super Bowl 60 Squares Values
The value of Super Bowl Squares can vary greatly. The top numbers give you about a 5x value relative to your buy-in, while over a quarter of the numbers have an expected value of one-third or less of your entry buy-in amount.
For example, getting a hold of any of the 7-0, 0-0, or 0-7 squares is as valuable as having the 25 lowest-value squares combined.
| SEA Square | NE Square | 1st Quarter | 2nd Quarter | 3rd Quarter | End of Game | Total |
|---|---|---|---|---|---|---|
| 7 | 0 | $28.00 | $10.40 | $8.00 | $14.40 | $60.80 |
| 0 | 0 | $25.60 | $14.00 | $7.20 | $5.20 | $52.00 |
| 0 | 7 | $20.80 | $7.20 | $8.00 | $16.00 | $52.00 |
| 7 | 7 | $18.80 | $13.40 | $8.00 | $5.20 | $45.40 |
| 0 | 3 | $13.40 | $7.60 | $4.00 | $13.60 | $38.60 |
| 3 | 0 | $15.80 | $8.00 | $5.40 | $9.20 | $38.40 |
| 7 | 3 | $13.40 | $7.60 | $7.60 | $6.40 | $35.00 |
| 4 | 7 | $4.60 | $9.00 | $8.20 | $12.80 | $34.60 |
| 0 | 4 | $7.20 | $6.80 | $4.40 | $12.40 | $30.80 |
| 7 | 4 | $4.00 | $4.60 | $7.20 | $10.00 | $25.80 |
| 3 | 7 | $10.40 | $7.20 | $4.00 | $2.00 | $23.60 |
| 4 | 0 | $7.20 | $4.40 | $6.80 | $5.20 | $23.60 |
| 3 | 3 | $7.20 | $7.20 | $6.80 | $1.60 | $22.80 |
| 0 | 6 | $4.00 | $5.80 | $2.80 | $7.20 | $19.80 |
| 1 | 4 | $0.00 | $1.00 | $3.20 | $12.80 | $17.00 |
| 4 | 3 | $2.60 | $5.00 | $3.20 | $5.20 | $16.00 |
| 6 | 0 | $2.20 | $2.60 | $2.80 | $8.00 | $15.60 |
| 4 | 6 | $0.40 | $3.60 | $2.60 | $8.00 | $14.60 |
| 3 | 4 | $2.60 | $3.60 | $2.80 | $5.20 | $14.20 |
| 0 | 1 | $0.40 | $4.40 | $3.20 | $5.60 | $13.60 |
| 6 | 7 | $2.20 | $1.40 | $3.60 | $5.20 | $12.40 |
| 7 | 6 | $2.20 | $3.60 | $4.60 | $2.00 | $12.40 |
| 4 | 4 | $0.00 | $4.00 | $4.00 | $4.40 | $12.40 |
| 6 | 3 | $1.00 | $2.60 | $1.80 | $6.40 | $11.80 |
| 4 | 8 | $0.00 | $0.80 | $2.20 | $8.80 | $11.80 |
| 7 | 1 | $0.00 | $3.20 | $4.00 | $4.40 | $11.60 |
| 9 | 7 | $0.00 | $2.20 | $2.20 | $7.20 | $11.60 |
| 1 | 7 | $0.40 | $3.20 | $2.60 | $4.40 | $10.60 |
| 3 | 6 | $0.40 | $3.60 | $3.20 | $2.80 | $10.00 |
| 7 | 9 | $0.40 | $2.20 | $2.20 | $5.20 | $10.00 |
| 1 | 0 | $0.00 | $4.00 | $1.40 | $4.40 | $9.80 |
| 4 | 1 | $0.00 | $0.00 | $1.00 | $8.80 | $9.80 |
| 1 | 3 | $0.00 | $1.80 | $2.60 | $4.40 | $8.80 |
| 0 | 9 | $0.40 | $2.60 | $2.60 | $2.80 | $8.40 |
| 3 | 9 | $0.80 | $1.00 | $1.80 | $4.40 | $8.00 |
| 1 | 1 | $0.00 | $0.40 | $1.00 | $6.40 | $7.80 |
| 6 | 4 | $0.80 | $2.20 | $2.60 | $1.60 | $7.20 |
| 6 | 1 | $0.00 | $1.80 | $1.00 | $4.40 | $7.20 |
| 3 | 8 | $0.00 | $0.40 | $1.40 | $5.20 | $7.00 |
| 1 | 8 | $0.00 | $0.00 | $1.40 | $5.60 | $7.00 |
| 8 | 0 | $0.00 | $0.80 | $1.40 | $4.40 | $6.60 |
| 0 | 8 | $0.40 | $1.00 | $2.20 | $2.80 | $6.40 |
| 8 | 7 | $0.00 | $0.40 | $2.20 | $3.60 | $6.20 |
| 6 | 6 | $0.00 | $1.00 | $1.40 | $3.60 | $6.00 |
| 7 | 5 | $0.00 | $0.80 | $0.80 | $4.40 | $6.00 |
| 8 | 6 | $0.00 | $0.40 | $1.00 | $4.40 | $5.80 |
| 5 | 3 | $0.00 | $0.80 | $1.80 | $2.80 | $5.40 |
| 7 | 8 | $0.00 | $0.80 | $1.80 | $2.80 | $5.40 |
| 4 | 9 | $0.00 | $1.00 | $0.80 | $3.60 | $5.40 |
| 6 | 2 | $0.00 | $1.00 | $0.80 | $3.60 | $5.40 |
| 2 | 8 | $0.00 | $0.00 | $1.00 | $4.40 | $5.40 |
| 3 | 1 | $0.00 | $1.40 | $1.80 | $2.00 | $5.20 |
| 8 | 3 | $0.00 | $0.80 | $1.40 | $2.80 | $5.00 |
| 3 | 5 | $0.00 | $0.00 | $1.40 | $3.60 | $5.00 |
| 8 | 1 | $0.00 | $0.40 | $1.00 | $3.60 | $5.00 |
| 5 | 0 | $0.80 | $0.40 | $0.80 | $2.80 | $4.80 |
| 8 | 4 | $0.00 | $0.40 | $0.80 | $3.60 | $4.80 |
| 9 | 6 | $0.00 | $0.80 | $0.40 | $3.60 | $4.80 |
| 1 | 6 | $0.00 | $1.00 | $0.80 | $2.80 | $4.60 |
| 6 | 5 | $0.00 | $0.80 | $0.80 | $2.80 | $4.40 |
| 5 | 8 | $0.00 | $0.00 | $0.80 | $3.60 | $4.40 |
| 9 | 0 | $0.80 | $1.80 | $0.80 | $0.80 | $4.20 |
| 2 | 0 | $1.00 | $0.80 | $0.40 | $2.00 | $4.20 |
| 2 | 4 | $0.00 | $0.80 | $1.40 | $2.00 | $4.20 |
| 9 | 3 | $0.00 | $1.00 | $2.20 | $0.80 | $4.00 |
| 2 | 1 | $0.00 | $0.00 | $0.40 | $3.60 | $4.00 |
| 0 | 5 | $0.00 | $0.40 | $1.40 | $2.00 | $3.80 |
| 2 | 7 | $0.00 | $1.00 | $0.80 | $2.00 | $3.80 |
| 8 | 8 | $0.00 | $0.00 | $0.80 | $2.80 | $3.60 |
| 3 | 2 | $0.80 | $0.40 | $0.40 | $2.00 | $3.60 |
| 6 | 9 | $0.00 | $0.80 | $0.80 | $2.00 | $3.60 |
| 9 | 9 | $0.00 | $0.80 | $0.80 | $2.00 | $3.60 |
| 9 | 1 | $0.00 | $0.00 | $1.40 | $2.00 | $3.40 |
| 0 | 2 | $0.80 | $0.00 | $0.80 | $1.60 | $3.20 |
| 9 | 4 | $0.00 | $0.80 | $0.40 | $2.00 | $3.20 |
| 5 | 7 | $0.00 | $0.40 | $0.00 | $2.80 | $3.20 |
| 7 | 2 | $0.00 | $0.40 | $0.00 | $2.80 | $3.20 |
| 4 | 5 | $0.00 | $0.40 | $0.80 | $2.00 | $3.20 |
| 2 | 3 | $0.00 | $0.40 | $1.00 | $1.60 | $3.00 |
| 5 | 4 | $0.00 | $0.40 | $1.00 | $1.60 | $3.00 |
| 2 | 5 | $0.00 | $0.00 | $0.00 | $2.80 | $2.80 |
| 5 | 2 | $0.00 | $0.00 | $0.00 | $2.80 | $2.80 |
| 2 | 6 | $0.00 | $0.40 | $0.40 | $2.00 | $2.80 |
| 4 | 2 | $0.00 | $0.40 | $0.40 | $2.00 | $2.80 |
| 1 | 9 | $0.00 | $0.40 | $1.40 | $0.80 | $2.60 |
| 1 | 5 | $0.00 | $0.00 | $0.80 | $1.60 | $2.40 |
| 9 | 2 | $0.00 | $0.00 | $0.80 | $1.60 | $2.40 |
| 6 | 8 | $0.00 | $0.00 | $0.40 | $2.00 | $2.40 |
| 8 | 5 | $0.00 | $0.00 | $0.40 | $2.00 | $2.40 |
| 9 | 5 | $0.00 | $0.00 | $0.40 | $1.60 | $2.00 |
| 2 | 9 | $0.00 | $0.00 | $0.00 | $2.00 | $2.00 |
| 5 | 9 | $0.00 | $0.00 | $0.00 | $2.00 | $2.00 |
| 5 | 6 | $0.00 | $0.40 | $0.40 | $0.80 | $1.60 |
| 8 | 2 | $0.00 | $0.00 | $0.00 | $1.60 | $1.60 |
| 1 | 2 | $0.00 | $0.80 | $0.40 | $0.00 | $1.20 |
| 5 | 1 | $0.00 | $0.00 | $0.80 | $0.00 | $0.80 |
| 2 | 2 | $0.00 | $0.40 | $0.00 | $0.00 | $0.40 |
| 5 | 5 | $0.00 | $0.00 | $0.00 | $0.00 | $0.00 |
| 8 | 9 | $0.00 | $0.00 | $0.00 | $0.00 | $0.00 |
| 9 | 8 | $0.00 | $0.00 | $0.00 | $0.00 | $0.00 |
All Super Bowl Squares, Average Odds of Hitting by Quarter
Some squares have high value because they are far more likely to hit early in games, while others see their value rise late (like the 1-4 square). For the average odds of hitting initially, sort the table below.
You can sort individual columns to see which ones are best for each quarter or at the end of the game.
| SEA Square | NE Square | 1st Quarter | 2nd Quarter | 3rd Quarter | End of Game | Average |
|---|---|---|---|---|---|---|
| 7 | 0 | 14.0% | 5.2% | 4.0% | 3.6% | 6.7% |
| 0 | 0 | 12.8% | 7.0% | 3.6% | 1.3% | 6.2% |
| 0 | 7 | 10.4% | 3.6% | 4.0% | 4.0% | 5.5% |
| 7 | 7 | 9.4% | 6.7% | 4.0% | 1.3% | 5.4% |
| 3 | 0 | 7.9% | 4.0% | 2.7% | 2.3% | 4.2% |
| 7 | 3 | 6.7% | 3.8% | 3.8% | 1.6% | 4.0% |
| 0 | 3 | 6.7% | 3.8% | 2.0% | 3.4% | 4.0% |
| 4 | 7 | 2.3% | 4.5% | 4.1% | 3.2% | 3.5% |
| 0 | 4 | 3.6% | 3.4% | 2.2% | 3.1% | 3.1% |
| 3 | 7 | 5.2% | 3.6% | 2.0% | 0.5% | 2.8% |
| 3 | 3 | 3.6% | 3.6% | 3.4% | 0.4% | 2.8% |
| 4 | 0 | 3.6% | 2.2% | 3.4% | 1.3% | 2.6% |
| 7 | 4 | 2.0% | 2.3% | 3.6% | 2.5% | 2.6% |
| 0 | 6 | 2.0% | 2.9% | 1.4% | 1.8% | 2.0% |
| 4 | 3 | 1.3% | 2.5% | 1.6% | 1.3% | 1.7% |
| 3 | 4 | 1.3% | 1.8% | 1.4% | 1.3% | 1.5% |
| 6 | 0 | 1.1% | 1.3% | 1.4% | 2.0% | 1.5% |
| 7 | 6 | 1.1% | 1.8% | 2.3% | 0.5% | 1.4% |
| 0 | 1 | 0.2% | 2.2% | 1.6% | 1.4% | 1.4% |
| 1 | 4 | 0.0% | 0.5% | 1.6% | 3.2% | 1.3% |
| 4 | 6 | 0.2% | 1.8% | 1.3% | 2.0% | 1.3% |
| 4 | 4 | 0.0% | 2.0% | 2.0% | 1.1% | 1.3% |
| 6 | 7 | 1.1% | 0.7% | 1.8% | 1.3% | 1.2% |
| 7 | 1 | 0.0% | 1.6% | 2.0% | 1.1% | 1.2% |
| 3 | 6 | 0.2% | 1.8% | 1.6% | 0.7% | 1.1% |
| 6 | 3 | 0.5% | 1.3% | 0.9% | 1.6% | 1.1% |
| 1 | 7 | 0.2% | 1.6% | 1.3% | 1.1% | 1.1% |
| 9 | 7 | 0.0% | 1.1% | 1.1% | 1.8% | 1.0% |
| 1 | 0 | 0.0% | 2.0% | 0.7% | 1.1% | 1.0% |
| 4 | 8 | 0.0% | 0.4% | 1.1% | 2.2% | 0.9% |
| 7 | 9 | 0.2% | 1.1% | 1.1% | 1.3% | 0.9% |
| 0 | 9 | 0.2% | 1.3% | 1.3% | 0.7% | 0.9% |
| 1 | 3 | 0.0% | 0.9% | 1.3% | 1.1% | 0.8% |
| 6 | 4 | 0.4% | 1.1% | 1.3% | 0.4% | 0.8% |
| 3 | 9 | 0.4% | 0.5% | 0.9% | 1.1% | 0.7% |
| 4 | 1 | 0.0% | 0.0% | 0.5% | 2.2% | 0.7% |
| 0 | 8 | 0.2% | 0.5% | 1.1% | 0.7% | 0.6% |
| 6 | 1 | 0.0% | 0.9% | 0.5% | 1.1% | 0.6% |
| 1 | 1 | 0.0% | 0.2% | 0.5% | 1.6% | 0.6% |
| 3 | 8 | 0.0% | 0.2% | 0.7% | 1.3% | 0.6% |
| 8 | 0 | 0.0% | 0.4% | 0.7% | 1.1% | 0.6% |
| 8 | 7 | 0.0% | 0.2% | 1.1% | 0.9% | 0.6% |
| 1 | 8 | 0.0% | 0.0% | 0.7% | 1.4% | 0.5% |
| 3 | 1 | 0.0% | 0.7% | 0.9% | 0.5% | 0.5% |
| 6 | 6 | 0.0% | 0.5% | 0.7% | 0.9% | 0.5% |
| 5 | 3 | 0.0% | 0.4% | 0.9% | 0.7% | 0.5% |
| 7 | 8 | 0.0% | 0.4% | 0.9% | 0.7% | 0.5% |
| 9 | 0 | 0.4% | 0.9% | 0.4% | 0.2% | 0.5% |
| 7 | 5 | 0.0% | 0.4% | 0.4% | 1.1% | 0.5% |
| 4 | 9 | 0.0% | 0.5% | 0.4% | 0.9% | 0.5% |
| 6 | 2 | 0.0% | 0.5% | 0.4% | 0.9% | 0.5% |
| 9 | 3 | 0.0% | 0.5% | 1.1% | 0.2% | 0.5% |
| 8 | 3 | 0.0% | 0.4% | 0.7% | 0.7% | 0.5% |
| 8 | 6 | 0.0% | 0.2% | 0.5% | 1.1% | 0.5% |
| 5 | 0 | 0.4% | 0.2% | 0.4% | 0.7% | 0.4% |
| 1 | 6 | 0.0% | 0.5% | 0.4% | 0.7% | 0.4% |
| 2 | 0 | 0.5% | 0.4% | 0.2% | 0.5% | 0.4% |
| 2 | 4 | 0.0% | 0.4% | 0.7% | 0.5% | 0.4% |
| 2 | 8 | 0.0% | 0.0% | 0.5% | 1.1% | 0.4% |
| 3 | 5 | 0.0% | 0.0% | 0.7% | 0.9% | 0.4% |
| 8 | 1 | 0.0% | 0.2% | 0.5% | 0.9% | 0.4% |
| 6 | 5 | 0.0% | 0.4% | 0.4% | 0.7% | 0.4% |
| 8 | 4 | 0.0% | 0.2% | 0.4% | 0.9% | 0.4% |
| 9 | 6 | 0.0% | 0.4% | 0.2% | 0.9% | 0.4% |
| 0 | 5 | 0.0% | 0.2% | 0.7% | 0.5% | 0.4% |
| 2 | 7 | 0.0% | 0.5% | 0.4% | 0.5% | 0.4% |
| 3 | 2 | 0.4% | 0.2% | 0.2% | 0.5% | 0.3% |
| 6 | 9 | 0.0% | 0.4% | 0.4% | 0.5% | 0.3% |
| 9 | 9 | 0.0% | 0.4% | 0.4% | 0.5% | 0.3% |
| 5 | 8 | 0.0% | 0.0% | 0.4% | 0.9% | 0.3% |
| 0 | 2 | 0.4% | 0.0% | 0.4% | 0.4% | 0.3% |
| 9 | 1 | 0.0% | 0.0% | 0.7% | 0.5% | 0.3% |
| 1 | 9 | 0.0% | 0.2% | 0.7% | 0.2% | 0.3% |
| 2 | 1 | 0.0% | 0.0% | 0.2% | 0.9% | 0.3% |
| 2 | 3 | 0.0% | 0.2% | 0.5% | 0.4% | 0.3% |
| 4 | 5 | 0.0% | 0.2% | 0.4% | 0.5% | 0.3% |
| 5 | 4 | 0.0% | 0.2% | 0.5% | 0.4% | 0.3% |
| 8 | 8 | 0.0% | 0.0% | 0.4% | 0.7% | 0.3% |
| 9 | 4 | 0.0% | 0.4% | 0.2% | 0.5% | 0.3% |
| 2 | 6 | 0.0% | 0.2% | 0.2% | 0.5% | 0.2% |
| 4 | 2 | 0.0% | 0.2% | 0.2% | 0.5% | 0.2% |
| 5 | 7 | 0.0% | 0.2% | 0.0% | 0.7% | 0.2% |
| 7 | 2 | 0.0% | 0.2% | 0.0% | 0.7% | 0.2% |
| 1 | 5 | 0.0% | 0.0% | 0.4% | 0.4% | 0.2% |
| 9 | 2 | 0.0% | 0.0% | 0.4% | 0.4% | 0.2% |
| 2 | 5 | 0.0% | 0.0% | 0.0% | 0.7% | 0.2% |
| 5 | 2 | 0.0% | 0.0% | 0.0% | 0.7% | 0.2% |
| 6 | 8 | 0.0% | 0.0% | 0.2% | 0.5% | 0.2% |
| 8 | 5 | 0.0% | 0.0% | 0.2% | 0.5% | 0.2% |
| 1 | 2 | 0.0% | 0.4% | 0.2% | 0.0% | 0.2% |
| 5 | 6 | 0.0% | 0.2% | 0.2% | 0.2% | 0.2% |
| 9 | 5 | 0.0% | 0.0% | 0.2% | 0.4% | 0.2% |
| 2 | 9 | 0.0% | 0.0% | 0.0% | 0.5% | 0.1% |
| 5 | 9 | 0.0% | 0.0% | 0.0% | 0.5% | 0.1% |
| 5 | 1 | 0.0% | 0.0% | 0.4% | 0.0% | 0.1% |
| 8 | 2 | 0.0% | 0.0% | 0.0% | 0.4% | 0.1% |
| 2 | 2 | 0.0% | 0.2% | 0.0% | 0.0% | 0.1% |
| 5 | 5 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 8 | 9 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| 9 | 8 | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |