Bureau of Rift Statistics · Report No. 2 · Method

How the census was counted

Report No. 2 asks whether players move further than a champion does when Riot changes it, and whether the pros follow the notes at all. The analysis plan was written and locked on 21 Oct 2026, before any match was pulled. It changed once, on 25 Oct, before any result was opened (below). Report No. 1’s method follows further down.

The sample

202,725 ranked games of 15 minutes or more, NA ranked Solo/Duo (NA1), played 9 September to 25 October 2026, patches 26.18 to 26.21 (a game’s patch comes from its game version, never its date). 18,523 players were drawn at random from Riot’s ranked ladder in three rank groups (Iron to Silver, Gold to Emerald, Diamond and up), in a main wave and a top-up wave. 2,027,250 champion appearances.

Each game is weighted so the sample adds up the way the ladder plays: its rank group’s population over the players drawn in that group, adjusted for the share of the main wave’s games that were kept. On the days both censuses cover (29 Sep to 15 Oct), Report 2’s pick rates sit within Report 1’s margin of error for 158 of 173 champions, and the two lists correlate at 0.997.

The comparison

For each champion Riot changed in 26.19 or 26.20, the two weeks after the patch (days 0 to 13) are set against the two weeks before, and the same change for champions Riot left alone, in the same role and rank group, is taken away. That is an event study, the way an economist reads a company’s news against the market. It is done twice: for how often players picked the champion (on a log scale, reported as a percentage) and for how often it won (in points). Champions need 1,000 games on each side to be reported on their own; cells with fewer than 30 appearances are left out of the averages.

Every range is a 95% range from 2,000 reruns that resample the drawn players within their rank group and wave. In simulation, the win-rate ranges caught the true value 19 times in 20, the pick-rate ranges about 9 times in 10.

Riot’s changes in 26.19 to 26.21 were coded on 21 Oct, before the data, as buff, nerf, adjust or excluded, by Riot’s stated intent, with the audience the note names (pro, elite, or everyone). Skins come from the patch notes.

Checks

The one change before results

The plan’s sharpest test was a “belief slope”: how far picks move for each point of win rate. A simulation of this census showed the slope can’t be measured at this size (it reads near zero whatever the truth, a problem epidemiologists call regression dilution). The test was replaced, before any result was opened, with the side-by-side comparisons in the report. The swap and the simulation are in the analysis plan’s amendment 6.

The stage

Every Worlds from 2019 to 2026 was read on Leaguepedia’s Picks and Bans pages in the browser: 833 games. Presence is the share of games in which a champion was picked or banned. Champion changes in each Worlds patch and the two before it, 414 in all, were coded by Riot’s stated intent. 2026 runs through 26 October.

Matchup spread: K’Sante’s win rate against each lane opponent with 30 or more games, pulled toward his average by a random-effects fit (DerSimonian and Laird), with a Q-profile range. He had under 2,000 games a patch, so the planned safe-blind-pick test was not run; the figures describe two patches.

The figures

Each figure borrows a method from a field that uses it: an icon array (Spiegelhalter), funnel plots (Spiegelhalter et al.; Dover and Schopflocher), an interrupted time series (Lu et al., BMJ 2014), small multiples (Tufte), Stein’s two-line plot (Efron and Morris) and a control chart (Dover and Schopflocher). Each figure names its method on the page.

Where the answers stop


Bureau of Rift Statistics · Report No. 1 · Method

How the census was counted

Report No. 1 asks one question: who spends the most time on the grey screen, and do escape tools keep champions off it? The analysis plan was written and locked before the data was opened. It was run once, on 15 Oct 2026. This page says what was counted, how, what was checked, and where the answers stop.

The sample

Weighting

The sample is lopsided in two ways, and both are weighted back:

Estimated players active in the window: about 589,000 of 1,685,002 ladder accounts.

What "grey" means

The questions, and which were set in advance

QuestionStatusAnswer in brief
RQ1 Who spends the most time grey?locked planIron 11.7%, falling to 10.0% at the top. The 1.66-point gap is still 1.16 points after adjusting for game length.
RQ2 Do escape tools keep champions off the grey screen?locked planThe opposite: more tools go with more grey in every tier (Spearman 0.27 to 0.46; every interval above 0).
RQ3 Does the edge grow with skill?locked planWithin class, the link falls by 0.027 per tier [−0.042, −0.012]. The tools stop costing; they never turn into an advantage.
RQ4 Old kits still playedlocked plan19 kits from 2013 or earlier are played at or above the median in all eight tiers. 8 of them have no escape tool.
RQ5 Regionslocked planIonia has the most movement (1.04 per champion). The Shadow Isles have the most untargetability (0.40).
E1 The cost in secondsexploratoryWithin class, each extra tool costs Iron 7.3 s [5.6, 9.1] per 30-minute game, Platinum to Diamond about 3.2 to 3.4, the top 4.0 [1.2, 6.8].
E2 Kits or peopleexploratory1,854 players played both kinds. About 60% of the pattern survives inside the same person.
E4, E5 When and whereexploratorySame timing; different place. Share of deaths on the enemy's half: 36–37% with no tools, 42% with one, 45% with two or more.
E6 Death-count modellocked planNegative binomial: each tool multiplies the death rate by 1.019 [1.016, 1.021]. See its limit below.
E7 Regions within classexploratoryMost regions sit near 1. Bilgewater is beyond 1 in 6 of 8 tiers.

Exploratory results were chosen after the main tests had been run. The report says so wherever it uses one.

Checks run before anything was written

CheckResultVerdict
Against lolprofileSpearman 0.96 across all 173 champions (deaths per 10 minutes played)pass (≥ 0.7)
Hand check1,000 rows across all tiers matched the raw files exactlypass
Standouts40 appearances of Janna, Lulu, Nami and Yuumi checked against raw files: 0 mismatchespass
Fake dataInterval coverage 94%pass
Without the heaviest 5% of accountsr = 0.994; top-10 overlap 67 of 80stable
Weighting by account insteadr = 0.97; top-10 overlap 65 of 80stable

Where the answers stop

Changes since the data was opened

The numbers in each figure can be downloaded from the data page. Every number in the report has a row in the claim trace: the figure, the file it was checked against, and its status.