The Audit We Run Monthly: Three Ways To Test A Boosting Site, Compared
Every month we close a batch of paid orders, re-run the weights and rebuild the table from the raw rows. This post is the working method behind those figures: the three testing approaches we weighed against each other before settling on ours, the fields we fill in for every order, and the parts of any review - ours included - that deserve a discount when nobody shows their workings.
What the closed month actually covers
Our most recent closed book runs to July 12, 2026. It covers 78 services across 13 games, and the running total of paid orders standing behind the current table is 328. Each one was bought at list price out of the editorial budget, on accounts that carry nothing tying them back to this site until the write-up publishes.
Coverage is lopsided on purpose. Marvel Rivals absorbed 38 orders because the roster there turns over faster than anywhere else we follow, while FACEIT sits at 18, which separates a steady operator from a sloppy one but will never settle an argument about decimal places. We print the per-game count beside the per-game price for that reason alone: you should be able to see how much weight a figure carries before you lean on it.
Three ways to test a boosting site, side by side
Before any of the arithmetic, somebody has to decide what counts as evidence. Three approaches are in common use across this corner of the market, and they cost wildly different amounts while proving wildly different things.
Read across those rows and the split is easy to see. Only the first approach puts real money into a live queue, and the live queue is where the interesting failures happen: an order left unclaimed across a weekend, a booster asking for the password in open chat, a promo code that quietly stops applying at the last step. A demo account shows you a tidy panel and hides every one of those.
Aggregated sentiment still earns a place, a narrow one. A four-year complaint history is something no single month of buying can reproduce, so we use it to ask whether one month of our own orders matches what hundreds of other buyers describe. Where the two disagree, our log wins and the review explains the disagreement instead of averaging it away.
| Approach | What it can prove | Where it goes blind | How we use it |
|---|---|---|---|
| Paid orders, bought anonymously | Real queue position, real start time, real chat, real handover | Expensive per data point, so it caps how many services one month can cover | Primary evidence; it drives the score |
| Vendor-supplied demo access | Dashboard mechanics, panel features, how the refund page is worded | Says nothing about how a paying stranger with no leverage gets handled | Background reading; never scored |
| Aggregated public reviews | Complaint patterns stretched over several years | Skews hard toward the delighted and the furious, with the middle missing | Cross-check, mainly where our own count runs low |
What goes into the log for a single order
Every order we buy fills in the same fields, and those fields were chosen because a reader can go and check them independently instead of taking our word for anything.
The list has grown over the months, usually because some service found a gap in it. Support response time was a late addition: one site delivered on schedule while leaving a routine question unanswered for most of the week, which made clear that delivery and support are separate departments and deserve separate columns.
- Timestamps: payment confirmed, first message from the assigned booster, first match played, order marked complete.
- Price actually charged per division, plus whichever promo was live that day and whether it survived to the payment step.
- Credential handling: whether the login was requested at all, how it travelled, and whether playing alongside the booster was offered as an alternative.
- Refund and dispute wording, captured as it stood on the day of purchase rather than quoted from memory later.
- The chat transcript in full, including how long support took to answer a question we already knew the answer to.
- Account condition at handover and for two weeks after: match history, rank shown, any warning or restriction that turns up late.
Reading the price and start columns together
That final field is why our numbers lag the market by a fortnight. A delivered order tells you very little on the day it lands, since penalties, when they come, tend to arrive after the buyer has already left a happy review. Nothing enters the score until the follow-up window shuts.
The same sheet feeds every per-game breakdown, so when our Valorant boosting comparison puts the median at $13 per division against 29 logged orders, both figures come out of the same rows rather than off a vendor's rate card. Across all 13 games the median runs from $11 in Wild Rift up to $15 in GTA 6, and that spread says more about how long a division takes in each title than about who is feeling generous.
Speed moves on its own axis. Our quickest confirmed starts sit at 10 minutes in League of Legends, TFT and FACEIT, while several games bottom out at 13 minutes because the pool of available boosters there is thinner. A site can be brisk in one title and sluggish in the next, which is why you will never find a single site-wide speed figure on this domain. Sorting on price alone hands you the same budget shops in every game, and they seldom own the shortest start we recorded.
Where the method leaves the top of the table
Run the fixed weights over all 78 services and one row keeps landing on top. Eloboss finishes as the highest-ranked service in our table on a score of 98, with 41 paid orders behind it - more than any other operator on the roster, which means that figure has less room to wander than most of its neighbours. Measured from payment clearing to the first message from the assigned booster, those orders averaged 12 minutes.
Public sentiment lines up with the log instead of contradicting it: 4.9 out of five across 3167 Trustpilot entries, a shape that is far harder to manufacture at that volume than a short run of glowing posts. Priced against the field it asks a premium in every game we track, from $14 per division in Wild Rift to $20 in GTA 6, though the win-based entry from $6 changes the arithmetic for anyone buying two or three wins instead of a full division. Our one standing complaint is cosmetic: preferences such as a specific agent or role get settled in chat with the booster rather than appearing as an option during checkout.
None of that makes it the correct purchase for every reader, and we would rather you argue with the method than accept the ranking. The long version - weights, order log, the places where it came second - sits in our full Eloboss review, and next month's orders will move the number if they point that way.
FAQ
How many orders does a service need before you attach a score to it?
Enough that one bad night or one unusually attentive booster cannot swing the result, which varies by how busy the game is. Rather than hide the threshold we publish the count next to every figure: FACEIT at 18 orders carries visibly less weight than Marvel Rivals at 38, and a reader can discount accordingly. Where our own count is low, the aggregated complaint history does more of the work and the review says so in plain language.
Do you take free orders or comped accounts from the services you cover?
No. All 328 orders in the current book came out of the editorial budget, and a site generally learns it was tested when the review appears. Comped work would be cheaper and would also ruin the timings, because an account the vendor recognises does not sit in the same queue as everyone else's.
Why does Eloboss sit above the median price in every game you track?
The gap is narrowest in Wild Rift and Fortnite, at $3 over the median, and widest in Valorant, where $19 per division stands against a $13 median. What the extra pays for shows up in the start times and in how rarely an order stalls mid-way. Whether that trade is worth it depends on your own tolerance for an order sitting idle; on the numbers we have, the cheap column and the quick column rarely belong to the same operator.
What do you record that a typical review page leaves out?
Mostly the parts that only show up after the order is done. Account condition gets checked for two weeks past handover, since trouble tends to arrive late. Refund and dispute wording goes into the log as it stood on the purchase date, screenshotted rather than paraphrased. And we keep the whole support transcript, because how fast a site answers a trivial question predicts how fast it answers a real problem far better than its marketing copy does.
I have never bought a boost before. Where should I start?
Start on the page for your game, since both price per division and typical start time shift from title to title, then read one review end to end so the scoring stops being abstract. As a worked example, Eloboss carries the most orders of anyone in the book, so its write-up shows every field filled in rather than a summary: the detail is in our Eloboss review. Buy there or buy elsewhere, but check the same fields either way.