Data Studio Usage Guide

Example of Leona's Champion & Item Analysis Power Graph

• The above graph shows Leona support's power curves when building Warmog's as first core item versus Solari.
• We need to keep in mind that Warmog's is typically completed around 17 minutes, while Solari is completed around 14 minutes. This means that before 17 minutes, the core item Warmog's cannot have any impact, only its components can affect the curve.
• Moreover, games where Warmog's wasn't completed before a loss aren't reflected in this graph. While typically first core items are completed between 11-13 minutes, or 14-15 minutes for supports, meaning most games should see a completed first core before the outcome is decided, making support Warmog's quite an unusual case, we still need to consider various factors rather than taking the graph at face value.
• For instance, looking at this graph, you might interpret the early game as Warmog's components are quite good, or alternatively, they went Warmog's because they were already ahead by this much. To distinguish between these interpretations, we'd need to break down the metrics more finely, but as we do so, we face sample size issues and need different approaches.
  ex) Grouping tank supports together to secure larger sample sizes, then applying additional conditions per match to verify metrics
  Since this requires significant resources, it's difficult to handle in regular services like Data Studio, and should be addressed through metric request services, PS GPT, or business inquiries.

Example of Aurora's Champion & Item Analysis Power Graph

• The metrics up to two core items tend to be more stable to analyze. As long as the game progressed enough to build two core items, and if we consider early game metrics to be similar, it's quite useful for comparing mid-game power timing.
• However, for builds targeting specific matchups, the graph can't capture all that information, so it's important to understand in-game tendencies when looking at these metrics. For example, when top Aurora goes for a Lich Bane-based build, there might be a high proportion of cases where it's picked as a counter and gets extreme value from Lich Bane, or maybe the Lich Bane build path itself is just good for top Aurora. Therefore, we can't make detailed decisions based on metrics alone - it needs to be complemented by watching games or direct gameplay experience.

Validity Check Guide for Champion & Rune Analysis Graphs

• Rune analysis often uses smaller sample sizes than item analysis. Due to the wide variety of combinations, it's important to develop a habit of checking sample sizes.
• Other approaches are similar to the functionality explained earlier. However, in the rune analysis tab, comparison work requires using the screenshot feature.

How to Add Champion & Rune Analysis Graphs

• For example, if you want to see how effective First Strike Jayce is recently, select only First Strike as shown in the image above, check the sample size of 2,638 games, then name it 'Top Jayce-First Strike' and click add graph to take a screenshot.

Enter 'Top Jayce-First Strike' as the graph name and click the [Add Graph] button.

The saved graph appears at the top.

• Afterwards, you can compare power by adding graphs for Conqueror or Phase Rush, which Jayce traditionally uses. Unlike item analysis, runes affect the game from the start, so there aren't many other variables in the early game - just make sure to check the sample size thoroughly.
• Through this, we can see that when Jayce takes First Strike recently, it can potentially lead to a significant power increase.

How to Exclude Champion & Rune Analysis Graphs

• If you want to exclude certain graphs, you can click on their boxes to remove them. Data temporarily hidden from the graph will be shown with a strikethrough.