# Is Elo-Boost.net legit?

Canonical profile: https://gamescorelab.com/is-elo-boost-legit/

Company profile, not a positive trust verdict. Checked 8 October 2026. Listings are not endorsements.

## Public company offer

Elo-Boost covers League of Legends, Valorant, Teamfight Tactics and Wild Rift. Its menu separates divisions, wins and placements, rather than treating every competitive goal as the same order.

There is more than ranked play in the League section: levelling and champion mastery are listed too. Coaching appears separately for players looking for feedback on their own games.

Evidence basis: indexed-primary-page.

Advertised categories: Gaming services, Coaching.

## Checked game catalogue

| Game | Individually identified product types |
| --- | --- |
| League of Legends | Title listed; individual types still being checked |
| Valorant | Title listed; individual types still being checked |

Coverage is a dated record of advertised offers, not exhaustive stock or a game-specific service assessment.

## Supplied external snapshot

Supplied Trustpilot snapshot: 3.5/5.
The extraction date and original records were not supplied. This is not a live rating or a GameScoreLab community score.

## Historical third-party company data

Source: BestBoosting. Updated July 2, 2026. Published 2026-07-01; captured 2026-10-08T04:05:35.281Z. These are attributed claims, not GameScoreLab purchases or independent tests.

Source editorial score: 77/100. Source-reported Trustpilot figure: 4.5/5, with 726 external reviews cited. This separate historical score does not replace the supplied directory snapshot.

Estimated monthly traffic: 3270 (estimate, June 2026). Launch year reported: 2012.

Purchases claimed by the source: 2; average pickup reported: 30 minutes; on-time finishes reported: 2. Pickup is not full delivery time. Private receipts have not been inspected.

Business model reported: Service. Games listed by the historical source: 2.

### Historical service facts

- Account access: Account sharing; playing together requires arranging it with the provider.
- Payment methods: Cards and wallets listed.
- Player assignment: Company-assigned players; rank evidence reported.
- Support channels: Website chat and order messaging; continuous cover unspecified.

### External star percentages

Percentages as reported by the source, not exact customer counts or a GameScoreLab distribution.

- 5 stars: 79%
- 4 stars: 1%
- 3 stars: 2%
- 2 stars: 2%
- 1 stars: 16%

Rounding and scoring differences may leave inconsistent totals or overall scores; source values are preserved without normalising.

### Estimated visitor countries

- France: 37.7% of estimated visits
- United States: 35.6% of estimated visits
- Germany: 14% of estimated visits
- United Kingdom: 6.2% of estimated visits
- Canada: 3.8% of estimated visits

### Estimated traffic history

| Month | Value |
| --- | ---: |
| August 2025 | 5484 |
| September 2025 | 6414 |
| October 2025 | 5396 |
| November 2025 | 6218 |
| December 2025 | 5577 |
| January 2026 | 6785 |
| February 2026 | 6177 |
| March 2026 | 5598 |
| April 2026 | 5801 |
| May 2026 | 5814 |
| June 2026 | 3270 |

### Source editorial score history

| Month | Value |
| --- | ---: |
| August 2025 | 76 |
| September 2025 | 76 |
| October 2025 | 75 |
| November 2025 | 75 |
| December 2025 | 75 |
| January 2026 | 76 |
| February 2026 | 77 |
| March 2026 | 77 |
| April 2026 | 78 |
| May 2026 | 78 |
| June 2026 | 78 |
| July 2026 | 77 |

### Reported historical starting prices

The source used a dollar symbol without confirming a currency code. These are historical entry prices with original units, not current quotes.

| Game | Starting price reported |
| --- | --- |
| Teamfight Tactics | $12 / division |
| League of Legends | $12 / division |

## Community status

No GameScoreLab reviews have been published. The community rating is unset. Profile unclaimed; no purchase verification or customer submission service is active. External totals and scores never become local community data.

Methodology: https://gamescorelab.com/methodology/index.md