Alistar is very disruptive but very tough - try to target more fragile damage dealers.
When Alistar uses his ultimate, it's often better to move back and wait until the effect wears off before attacking him.
Watch out for the Pulverize-Headbutt combo when around turrets.
The stat comparisons shown here show several influential Samira versus Alistar counter stats that may help you grasp the distinctions between this pair of champs. As an example, Samira’s KDA ratio ([kills + assists] / deaths) of NaN is better than Alistar’s KDA ratio of NaN, indicating that Samira may be more central to her team's team fighting capability than Alistar. This observation is in large part fueled by the difference in kills.
Samira normally has a much larger longest killing spree than her enemy does. Typically, she receives a similar amount of damage to Alistar. This often reflects differing health capacities, yet it can also show that the one champion has less agility and thus is not able to kite away from additional damage when engaged or poked.
Both League of Legends champions are great. Both champs have their strengths, weaknesses, and counters. In League's current meta, Samira usually loses when playing against Alistar, with a 47.5% win rate. Therefore, Samira makes a bad counter for Alistar.
While Samira does have a lower winrate compared to Alistar, when facing one another, Samira also has a lower difficulty level that makes her a less time consuming character to learn and master. You may get destroyed when picking Samira into Alistar.
Additionally, Samira also has only a small amount of utility and CC, a similar amount to Alistar. This often makes her just as valuable during team fights, especially when facing champions with a ton of burst damage.
While there isn't a single best champion for every situation in League of Legends, in Samira vs Alistar matchups, Alistar is the better champion with a lower win rate, less champion complexity, and a similar amount of utility to help out your allies during late stage team fights.
Samira is a terribly counter to Alistar. You will do well by focussing your strategy on increasing your gold and cs and clearing objectives. If you do that, you should be able to stand on your own as Samira against Alistar.
To learn all of the intricacies of Samira to counter Alistar during both the early game and mid / late game phases of League of Legends, you should continue reading to gather a few extra lessons on this matchup. If you pay attention to the build and tips displayed above, you will grow your win rate by a lot and be closer to League of Legends pro players.
Samira on average picks up much more CS as Alistar. Champs who typically don't get much CS typically don't require much CS to be valuable teammates, such as supports. They are capable of scaling well off of their abilities and first items alone. Yet, champions with large amounts of CS, such as hyper-carries, often need many items to be effective. In either case, try to do better than the numbers shown here to do well.
The most important items to prioritize in your Samira versus Alistar build include Lord Dominik's Regards, Bloodthirster, and Immortal Shieldbow. When Samira used at least these three pieces in her build, she did a lot better versus Alistar than with many other commonly used item sets. In fact, Samira had an average win rate of 47.5% when countering Alistar with this counter build.
To have the greatest probability of crushing Alistar as Samira, Samira players should take the Conqueror, Triumph, Legend: Bloodline, Last Stand, Sudden Impact, and Treasure Hunter runes from the Precision and Domination rune sets. Out of all the rune combinations players picked for Samira vs Alistar matchups, this combination of runes resulted in the highest win rate. Moreover, these runes provided a 47.5% winrate overall.
If you need to see Samira versus Alistar tips and matchup stats and build suggestions for a a specific division, feel free to select one from the selection menu shown above. By default, the statistics and strategies shown are computed using all games with data with both champs.