Merkelting

Merkelting — CS2 Stats

DE76561198269621654[U:1:309355926]Steam profile ↗✓ No bans

317Tracked matches50%Win rate2020Tracked since
CSDB Rating6.8 SolidAll-Rounder
Premier CS Rating17,082Purple band · top ~20.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

−222Premier CS Rating · 17,304 → 17,082

Rating over time

Premier CS Rating: 17,082 +1,646 25 Feb – 1 Oct · 39 days played
9,87719,528peak 19,52825 Feb1 Oct
19,528Peak Premier in tracked matches
53Days played since 2026-02-25

Premier CS Rating

  • 2,446 below peak (19,528)
  • -1,540 over 30 days · declining
  • +5,548 over 90 days
  • Next: Pink band at 20,000 — 2,918 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGMerkeltingPREMIER17,082 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning65
Utility57

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateLLLWLLLLWL

Last 10 vs previous 10: −40pp win rate · −0.05 avg rating · +2.6pp headshot accuracy · +66ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 567ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 620ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 587ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.3
Utility5.7
Positioning6.5
Opening Duels5.0

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 96% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.5° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 560ms 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

Aim8.3
Positioning6.5
Utility5.7
Mechanics7.3
Opening Duels5.2
Win Impact5.0

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time579ms−94ms
first ⅓ avg 673ms → last ⅓ avg 579ms
Headshot accuracy20.2%−1.8%
first ⅓ avg 22.0% → last ⅓ avg 20.2%

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.

Personal bests

0.31Best match rating · 13–1 · overpass, 4 Jul →
55%Best headshot accuracy · 9–13 · nuke, 26 Feb →
281msFastest reaction time · 3–1 · overpass, 15 May →
13–1Biggest win · overpass, 4 Jul →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L3Current streak
5–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 73% over 11mirageWeakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
nukeB199–1047%0.02
dust2D134–931%-0.01
mirageD121–118%-0.02
infernoB115–645%0.03
anubisS118–373%0.05
ancientC114–736%0.00
overpassS118–373%0.07
cacheS96–367%0.04
vertigo—31–233%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (8% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

9Matches
33%Win rate
1.45Avg K/D
—ADR
37%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo20%1.1620.5
Anubis1100%2.0825.0
Inferno1100%2.0825.0
Overpass1100%2.4024.0
Ancient10%0.5910.0
Mirage10%0.8511.0

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.

19.5%Headshot accuracy
36.8%Accuracy (enemy spotted)
48.4%Spray accuracy
82.6%Counter-strafing
10.5°Preaim
560msReaction time
51.4%T opening success
49.9%CT opening success
0.56Enemies flashed / flash
10.0%Flash assists
11.05HE damage / grenade
6.26Flashes / match

Recommended for you

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.

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–12-0.1119%1 Oct →
mirage10–130.0113%24 Sept →
vertigo7–13-0.0215%23 Sept →
inferno13–70.0811%22 Sept →
dust27–13-0.0425%18 Sept →
nuke1–13-0.0438%18 Sept →
mirage0–130.0126%18 Sept →
nuke2–13-0.0428%18 Sept →
dust213–10-0.0029%16 Sept →
nuke10–130.0831%13 Sept →
dust22–10.0233%13 Sept →
cache0–13-0.0317%13 Sept →
dust213–100.0418%7 Sept →
inferno13–30.0911%16 Aug →
nuke13–80.0125%12 Aug →
nuke13–60.0826%12 Aug →
inferno13–60.0317%10 Aug →
nuke13–80.0926%10 Aug →
anubis9–130.0223%9 Aug →
cache11–130.0513%9 Aug →
inferno10–13-0.0012%8 Aug →
ancient1–13-0.1117%28 Jul →
ancient0–40.0440%27 Jul →
nuke13–3-0.0220%27 Jul →
anubis13–50.1311%19 Jul →
cache13–80.0813%18 Jul →
cache13–60.0817%18 Jul →
cache13–40.0920%15 Jul →
cache13–40.0410%6 Jul →
cache13–40.0316%6 Jul →
ancient16–120.049%5 Jul →
overpass13–40.0112%5 Jul →
overpass13–10.3129%4 Jul →
cache8–130.0322%3 Jul →
overpass9–130.0610%11 Jun →
cache13–10-0.0018%9 Jun →
anubis12–6-0.0024%9 Jun →
mirage7–13-0.0524%9 Jun →
nuke6–130.0112%8 Jun →
ancient4–130.0312%4 Jun →
mirage3–13-0.1013%15 May →
overpass3–1-0.0411%15 May →
dust24–13-0.0423%15 May →
vertigo3–12-0.0510%15 May →
ancient13–70.0411%14 May →
dust213–100.0722%14 May →
anubis9–10.1323%13 May →
dust24–13-0.0417%8 May →
mirage13–30.0611%8 May →
inferno14–160.0316%7 May →
nuke13–110.1121%5 May →
anubis16–130.0616%4 May →
overpass13–4-0.0110%4 May →
inferno13–70.1425%4 May →
dust28–13-0.1110%28 Apr →
inferno8–13-0.0453%23 Apr →
dust24–13-0.0320%23 Apr →
mirage6–13-0.0619%23 Apr →
anubis7–13-0.0335%23 Apr →
inferno8–13-0.0425%21 Apr →
overpass13–110.1513%19 Apr →
anubis16–130.0220%18 Apr →
nuke13–40.1518%18 Apr →
inferno13–20.1912%18 Apr →
nuke13–50.0512%18 Apr →
anubis13–110.0918%18 Apr →
ancient13–70.0418%18 Apr →
nuke13–110.1213%13 Apr →
ancient13–8-0.0116%13 Apr →
overpass13–20.0614%12 Apr →
mirage10–13-0.0223%10 Apr →
dust25–130.0114%10 Apr →
nuke9–13-0.079%10 Apr →
inferno3–13-0.0425%9 Apr →
overpass13–70.1223%9 Apr →
anubis13–90.0212%26 Mar →
anubis13–10.1129%26 Mar →
overpass12–120.0316%26 Mar →
dust213–50.0918%25 Mar →
ancient10–13-0.0445%20 Mar →
ancient3–13-0.0339%20 Mar →
nuke13–100.0412%11 Mar →
dust26–130.0040%11 Mar →
mirage9–13-0.0348%11 Mar →
vertigo13–60.1219%11 Mar →
ancient6–13-0.0730%8 Mar →
mirage12–120.0427%5 Mar →
nuke5–13-0.097%3 Mar →
nuke5–130.0432%3 Mar →
inferno6–13-0.057%28 Feb →
anubis5–130.0110%28 Feb →
ancient4–130.0625%27 Feb →
overpass10–13-0.0814%27 Feb →
nuke9–13-0.026%27 Feb →
dust21–6-0.070%27 Feb →
mirage1–13-0.0433%27 Feb →
mirage2–13-0.080%26 Feb →
mirage2–5-0.0050%26 Feb →
nuke9–13-0.0655%26 Feb →
overpass13–70.1514%25 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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