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mERLIN — CS2 Stats

76561198073416876[U:1:113151148]✓ No bans

1,679Tracked matches57%Win rate2020Tracked since
CSDB Rating6.4 SolidPassive Rifler
Premier CS Rating21,742Top 50% of 819 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)
CSDB Leaderboard#1768 of 5374 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

21,742Peak Premier on CSDB
1,488Peak Faceit ELO on CSDB
1Days observed since 2026-08-28

Faceit ELO

  • At peak — 1,488
  • Next: Level 8 at 1,531 — 43 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-28
  • Level 6 first seen 2026-08-28

Premier CS Rating

  • At peak — 21,742
  • Next: Red band at 25,000 — 3,258 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGmERLINPREMIER21,742 · Pink bandPEAK ELO1,488csdb.gg/stats

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Performance scores

Aim84
Positioning42
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateWWLWWWLLLW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim8.4
Aggression4.3
Utility4.6
Positioning4.2
Opening Duels1.2
Clutch4.6

Strong CT-side openerLimited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 91% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 48% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 643ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.4
Positioning4.2
Utility4.6
Mechanics8.4
Opening Duels2.2
Win Impact7.2

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time648ms+5ms
first ⅓ avg 643ms → last ⅓ avg 648ms
Headshot accuracy23.4%+2.8%
first ⅓ avg 20.5% → last ⅓ avg 23.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.13Best rating — dust2 13–6
13–2Biggest win — inferno
4Longest win streak
W2Current streak
7–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 85% over 13mirageWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
infernoB3016–1453%0.00
mirageD155–1033%0.01
ancientS139–469%0.00
nukeS1311–285%0.01
dust2C135–838%0.01
anubisS96–367%0.01
cacheA74–357%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

990Matches
51%Win rate
1.15Avg K/D
82.8ADR
42%Headshot %

Clutches & streaks

43%1v1 clutch win
43%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke367%1.0413.7
Mirage367%0.9014.0
Anubis2100%1.5716.5
Cache10%0.8713.0
Inferno1100%2.1119.0
Overpass10%0.508.0
Ancient10%0.9416.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

24.1%Headshot accuracy
36.6%Accuracy (enemy spotted)
37.9%Spray accuracy
87.7%Counter-strafing
8.1°Preaim
643msReaction time
21.8%T opening success
47.6%CT opening success
0.57Enemies flashed / flash
3.4%Flash assists
13.08HE damage / grenade
3.83Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8302 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 21.8351% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–110.0217%25 Aug →
inferno13–20.0433%25 Aug →
inferno5–13-0.0117%25 Aug →
ancient16–12-0.017%25 Aug →
nuke13–110.0423%25 Aug →
inferno13–10-0.0515%25 Aug →
anubis11–13-0.0726%25 Aug →
cache6–13-0.0933%24 Aug →
inferno11–13-0.0516%24 Aug →
nuke13–20.0629%24 Aug →
ancient13–110.0014%24 Aug →
cache13–11-0.0547%24 Aug →
mirage14–16-0.0417%24 Aug →
nuke13–60.0618%23 Aug →
mirage7–13-0.0341%23 Aug →
inferno4–130.0330%23 Aug →
inferno13–100.0238%23 Aug →
nuke16–140.0130%23 Aug →
inferno13–40.0224%23 Aug →
anubis13–60.0520%23 Aug →
mirage5–130.0016%23 Aug →
ancient13–50.0331%20 Aug →
inferno11–13-0.0619%20 Aug →
inferno6–13-0.0521%19 Aug →
ancient7–13-0.0720%3 Aug →
inferno16–120.0228%3 Aug →
mirage13–20.1023%3 Aug →
ancient13–40.0010%3 Aug →
nuke11–130.1049%3 Aug →
inferno9–13-0.0515%3 Aug →
cache13–3-0.0023%3 Aug →
inferno3–13-0.0416%3 Aug →
mirage9–13-0.016%3 Aug →
inferno5–13-0.0614%3 Aug →
inferno13–80.0322%2 Aug →
dust213–50.0628%2 Aug →
inferno13–40.0928%2 Aug →
ancient13–80.0225%2 Aug →
dust23–13-0.0227%2 Aug →
inferno5–13-0.0623%2 Aug →
mirage4–13-0.0424%2 Aug →
nuke13–90.0124%31 Jul →
nuke13–100.0312%31 Jul →
anubis15–15-0.0023%31 Jul →
inferno13–3-0.0322%31 Jul →
ancient16–13-0.0420%31 Jul →
anubis11–13-0.0412%30 Jul →
mirage11–13-0.0322%30 Jul →
nuke13–2-0.0813%30 Jul →
cache13–30.0626%30 Jul →
mirage13–9-0.0133%30 Jul →
mirage13–90.0619%30 Jul →
cache2–11-0.0422%30 Jul →
inferno9–20.1125%30 Jul →
nuke13–7-0.0429%30 Jul →
ancient13–2-0.0326%30 Jul →
inferno6–13-0.0924%30 Jul →
mirage15–150.0511%30 Jul →
anubis13–20.0517%27 Jul →
ancient9–13-0.0135%26 Jul →
nuke13–4-0.0424%26 Jul →
dust211–13-0.0221%26 Jul →
ancient6–130.0326%26 Jul →
inferno13–110.0539%26 Jul →
nuke13–10-0.0119%26 Jul →
mirage13–110.0921%26 Jul →
nuke11–13-0.0323%26 Jul →
inferno9–130.0920%26 Jul →
dust28–13-0.0832%26 Jul →
mirage13–30.0325%26 Jul →
dust25–13-0.0216%25 Jul →
dust211–13-0.0329%25 Jul →
inferno13–90.0615%25 Jul →
dust24–13-0.0612%24 Jul →
inferno13–9-0.0018%23 Jul →
cache14–16-0.0120%22 Jul →
ancient13–70.0119%21 Jul →
cache13–100.0118%20 Jul →
mirage13–16-0.0125%20 Jul →
inferno13–20.0939%20 Jul →
dust213–100.0616%20 Jul →
dust215–150.0428%20 Jul →
inferno13–6-0.0318%19 Jul →
dust213–60.1314%19 Jul →
mirage10–13-0.0315%19 Jul →
ancient5–130.0215%19 Jul →
inferno9–130.0518%19 Jul →
dust212–160.0318%19 Jul →
dust213–10-0.0020%17 Jul →
inferno9–13-0.0224%17 Jul →
dust213–50.0032%17 Jul →
inferno13–50.028%17 Jul →
anubis13–90.1117%17 Jul →
inferno2–13-0.0414%17 Jul →
anubis13–70.0116%17 Jul →
anubis13–8-0.0215%17 Jul →
mirage9–13-0.0521%17 Jul →
nuke13–100.0332%17 Jul →
ancient13–50.1026%16 Jul →
inferno13–2-0.0622%16 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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