Our Problem - we need to hit 250pts using players who average no more than 240 points combined.
Our Preference - we don’t want to be trading cards week-to-week (which may be the obvious way to beat the new threshold).
Our Solution - exploiting players who score above their average when playing at home.
This should be particularly useful for those targeting higher scarcity thresholds.
Super Rare and Unique cards are illiquid and require a lot of cash to trade week-to-week. This makes trading less viable, so we need cards that we can use regularly, to beat the threshold.
So how can we have a team which regularly scores over the threshold, while remaining below the score cap? Sounds paradoxical, but this is achieved by exploiting home advantage.
I have spoken before about using home advantage on Sorare:
With a 240 cap spread between 5 players, we have two main avenues to go down.
1. Generally even spread around 48 per player, maybe a lower keeper with a few outfielders over 50.
2. Use one player, keeper, with a 0 score, and select 4 others with a cap of ~60 each.
I will look into other tactics + the financially optimal choice in the future, but for now let's assume these are the two general approaches.
Option 1 - Using a playing GK.
• The more conventional method, spreads your cap space across more players, reducing the impact of one player having a bad game.
• With a 48 average per player, you want to look for players between 40-55 L15.
• Our focus is on the greatest home advantage over the cap for the WHOLE team. So, we need to focus on the relative score increase over L15 average.
• What this means is, a player with 40L15 but 45 at home, is better than 45L15 and 50 at home. This is because their scoring increases by 12.5% compared to 11%.
So, we want to target 40-55 L15 players, min25y/o to remove expensive youngsters, who start regularly. You should target cheaper leagues, but this depends on the time period etc.
Examples:
• Chris Cadden
Defender
26y/o
L15 55
Season average 52.8
Season Home Average 60.3
Starts when fit 100%
• Geoffry Hairemans
Midfielder
31y/o
L15 55
Season average 54
Season Home Average 62.3
Starts when fit 89%
• Julio Cascante
Defender
29y/o
L15 49
Season average 51.3
Season Home Average 60.4
Starts when fit 97%
• Robin Propper
Defender
29y/o
L15 47
Season average 47.7
Season Home Average 54.4
Starts when fit 93%
Option 2 - Using a 4-man team + DNP GK.
• The obvious purpose of this is to reduce costs by omitting a keeper, who contributes little score relative to their price.
But, filling a 240 cap with four players requires some quality, potentially canceling out the savings.
• Doing this may have other effects, where scores vary less as there are fewer inputs, yet the impact of one anomaly (great score or bad score) is bigger.
• For this approach, we need higher-averaging players.
While their home averages are what we care about, we want to fill the cap as much as we can to maximise our potential.
Examples:
• Papa N’Diaye
Midfielder
32y/o
L15 61
Season average 62.4
Season Home Average 71.1
Starts when fit 100%
• Luis Reyes
Defender
31y/o
L15 61
Season average 53.9
Season Home Average 64.5
Starts when fit 100%
*While his L15 is currently inflated he is not a good pick, but he has a large H/A swing and may be viable at another time.
• Nicolas De La Cruz
Midfielder
25y/o
L15 59
Season average 60.5
Season Home Average 66.9
Starts when fit 66%
• Gustavo Velazquez
Defender
31y/o
L15 59
Season average 59.9
Season Home Average 68.5
Starts when fit 87%
Lining these four players with a 0 Score Keeper, the cap would come out at exactly 240.
When at home they average 271.8, comfortably over the threshold, without using a keeper.
Of course, the problem with this method is that players play at Home ~50% of the time.
You want players who play at home in the same gameweek. This can either be done by stacking or having depth and selecting the team where everyone is at home.
It is worth noting of course that these players can hit 250 even when they're playing away.
For example, the 4-card lineup above has a season average home and away of 236.7. With scoring variance, this would still hit the threshold at times.
If you’re able to assemble 6-8 of these level cards for less than a 5-card team with a playing keeper, this method may be optimal with rotating.
There are many ways to use home advantage for beating Sorare.
Look for cards with strong home advantage, and create a system that works for you.
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First, some quick details on the redraft game mechanic
- Before the R16, you’re given 50pts to spend.
- You must buy 1 player from each position, for a total of 4 players.
(These two previous rules apply to ALL THREE redrafts.)
- There are 3 redrafts in total, before R16, Quarters and Semifinals, so every knockout round but the final.
- Prices change based on results. Netherlands players increased in value by around 2-5 points after the win. But French players have not changed at the time of writing.
This is by far the toughest MD of the tournament, with 2 additional factors that weren't so significant in the previous matchdays.
Rotation - with the third group game in quick succession, players will be rotated more than before.
The main reasons for rotation in MD3 will be resting, testing or tactical changes.
I’ve chosen to be aggressive with my picks, and not be too heavily concerned with rotation as the best assets for smaller reams are so hard to pick and top players can score from the bench.
As this allows any league, it is financially optimal to use cheaper regions (Asia/America) rather than more expensive European cards.
There is nothing wrong with using EU cards, but this allows you to win the more expensive EU cards while using the cheaper Asia/Am cards.
In Rare, a lot of lineups will be entered for threshold rather than for cards, so don't be intimidated by entries.
The scores in this comp. fluctuate less than regionals, as fixture swings for certain teams are cancelled out by others.
Trading players used in limited special competitions is a really effective method as the 'meta' players change week to week.
In specialists, most people buy at least one card for their lineup, because the u40 average cap is so restrictive.
Because they only care about the player for that given GW, prices can rise rapidly as that player is significantly better in this single GW, than they usually would be.
Therefore, our trading opportunity comes from identifying these meta players for a single GW, before...
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