merkk1

merkk1 — CS2 Stats

US76561198380259387[U:1:419993659]Steam profile ↗

2,793Tracked matches27%Win rate2020Tracked since
CSDB Rating5.7 SolidAggressive Rifler
Premier CS Rating23,269Top 50% of 819 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)
CSDB Leaderboard#3549 of 13660 tracked
FaceitLevel 8 · 1,833 ELOTop 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGmerkk1FACEITLevel 8 · 1,833 ELOSTANDINGTop 31.2% of rankedPREMIER23,269 · Pink bandcsdb.gg/stats

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Performance scores

Aim73
Positioning64
Utility63

0–100 skill scores via Leetify.

Recent form

COLD5446Last 10054%Win rateLLWLLLWLLW

Last 10 vs previous 10: +0pp win rate · -0.05 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.3
Aggression6.7
Utility6.3
Positioning6.4
Opening Duels2.7
Clutch3.8

Strong CT-side opener

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

iM

Plays most like iM 92% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower opening-duel success.

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

T-side openings. Opening success drops from 52% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Aim7.3
Positioning6.4
Utility6.3
Mechanics5.9
Opening Duels2.7
Win Impact0.0

Composite 5.7/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time592ms−3ms
first ⅓ avg 595ms → last ⅓ avg 592ms
Headshot accuracy20.5%−2.3%
first ⅓ avg 22.9% → last ⅓ avg 20.5%

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

0.21Best rating — nuke 13–2
132Biggest win — inferno
6Longest win streak
L2Current streak
79In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 69% over 16infernoWeakest map · 39% over 23
MapGradePlayedRecordWin rateAvg rating
infernoC2391439%-0.01
anubisA2214864%0.02
ancientA1811761%-0.01
nukeS1611569%0.04
cacheC73443%0.00
mirageA74357%0.02
overpass42250%0.02
dust23030%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,839Matches
50%Win rate
1.22Avg K/D
79.3ADR
37%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis18752%1.1916.3
Ancient16348%1.1616.1
Nuke12053%1.2116.3
Inferno11146%1.1815.4
Overpass8553%1.2316.7
Mirage5250%1.1316.4
Train2442%1.1515.0
Dust21712%1.0114.6

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.

20.1%Headshot accuracy
34.8%Accuracy (enemy spotted)
36.3%Spray accuracy
76.5%Counter-strafing
8.6°Preaim
585msReaction time
29.7%T opening success
51.8%CT opening success
0.60Enemies flashed / flash
6.2%Flash assists
7.75HE damage / grenade
13.00Flashes / 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. 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 29.6905% — below the 40% mark we flag

Spend your practice time on Inferno

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

39% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0218%28 Aug
cache5–13-0.090%28 Aug
mirage13–60.0117%26 Aug
anubis11–130.0422%24 Aug
anubis10–13-0.0217%23 Aug
inferno8–13-0.0218%23 Aug
nuke13–70.0223%23 Aug
ancient11–13-0.0126%22 Aug
inferno5–13-0.0414%22 Aug
mirage13–80.0524%20 Aug
anubis14–160.0319%17 Aug
inferno13–20.1416%16 Aug
inferno11–130.0624%15 Aug
inferno14–160.0413%13 Aug
mirage11–130.0335%13 Aug
nuke16–130.1116%12 Aug
ancient13–70.0518%11 Aug
inferno8–13-0.0423%11 Aug
anubis9–130.0116%11 Aug
anubis10–130.0126%6 Aug
cache13–16-0.0423%6 Aug
anubis13–40.0829%5 Aug
nuke11–130.0417%5 Aug
inferno2–13-0.067%4 Aug
anubis4–130.0435%3 Aug
dust24–130.0717%1 Aug
ancient16–14-0.0329%31 Jul
cache3–13-0.0315%30 Jul
ancient6–13-0.0819%30 Jul
overpass9–10.0843%30 Jul
dust210–13-0.0315%30 Jul
inferno9–6-0.0312%30 Jul
nuke7–13-0.0332%28 Jul
cache6–13-0.0314%28 Jul
inferno6–13-0.0023%28 Jul
anubis6–13-0.0221%27 Jul
nuke6–13-0.0317%27 Jul
inferno13–11-0.0114%27 Jul
ancient13–30.0419%23 Jul
ancient13–110.0320%21 Jul
cache13–50.0314%20 Jul
nuke13–50.0517%20 Jul
inferno2–13-0.0313%19 Jul
mirage6–130.0115%19 Jul
anubis13–40.1023%19 Jul
nuke13–20.2113%19 Jul
inferno13–100.037%17 Jul
nuke19–170.0313%15 Jul
ancient10–130.0117%15 Jul
mirage13–20.128%15 Jul
anubis13–100.019%14 Jul
inferno10–13-0.035%14 Jul
nuke13–60.0620%13 Jul
cache13–50.1425%13 Jul
nuke8–130.0321%9 Jul
cache13–70.0420%9 Jul
ancient4–130.0223%3 Jul
anubis13–70.0214%2 Jul
mirage13–70.0326%2 Jul
inferno13–110.0422%2 Jul
anubis13–10-0.017%29 Jun
overpass5–130.0226%29 Jun
anubis13–50.0123%29 Jun
ancient13–7-0.0324%27 Jun
anubis16–130.0523%27 Jun
inferno13–8-0.0317%25 Jun
ancient13–4-0.0512%24 Jun
nuke13–50.0015%24 Jun
dust210–13-0.0025%22 Jun
inferno3–13-0.1327%22 Jun
mirage2–13-0.0933%22 Jun
ancient5–13-0.0814%19 Jun
ancient13–60.0624%16 Jun
nuke10–130.0123%16 Jun
anubis16–12-0.0020%16 Jun
inferno6–9-0.1520%15 Jun
nuke13–80.0840%4 Jun
inferno5–130.0015%4 Jun
inferno13–8-0.0241%1 Jun
ancient13–6-0.0426%1 Jun
overpass6–13-0.0529%1 Jun
anubis13–110.0132%1 Jun
anubis13–7-0.0216%30 May
inferno13–90.0511%28 May
nuke13–70.0524%27 May
nuke13–40.0115%24 May
anubis8–13-0.019%24 May
ancient19–22-0.0113%23 May
anubis13–7-0.0414%21 May
ancient13–5-0.0420%19 May
ancient13–70.0428%19 May
inferno11–13-0.0325%18 May
ancient13–90.0026%18 May
anubis13–100.0324%18 May
anubis13–9-0.0118%18 May
ancient11–13-0.0129%16 May
inferno16–130.0121%16 May
anubis13–110.0536%14 May
nuke13–5-0.0023%12 May
overpass13–100.0219%12 May

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 →