RockElch

RockElch — CS2 Stats

DE76561197973753286[U:1:13487558]Steam profile ↗✓ No bans

3,508Tracked matches59%Win rate2020Tracked since
CSDB Rating4.5 DevelopingSupport
Premier CS Rating18,918Top 50% of 200,982 CSDB-tracked playersPurple band · top ~12.8% of ranked players (population est.)
CSDB Leaderboard#95235 of 247846 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,918 -2,010 28 Aug – 30 Sept · 29 days played
17,14521,767peak 21,76728 Aug30 Sept
22,115Peak Premier in tracked matches
28Days played since 2026-08-28

Premier CS Rating

  • 2,849 below peak (21,767)
  • -2,628 over 30 days · declining
  • Next: Pink band at 20,000 — 1,082 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

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

Share this profile

CSDB.GGRockElchFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER18,918 · Purple bandcsdb.gg/stats

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Performance scores

Aim29
Positioning56
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLTWWLWLWWL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −2.0pp headshot accuracy · −13ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 591ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 573ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 579ms

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: Support — Utility contribution stands above the rest of this profile (+1.4 against its own average).

Aim2.9
Utility6.4
Positioning5.6
Opening Duels2.1
Clutch6.0

Limited 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.

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

NiKo

Plays most like NiKo 52% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim 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

Reaction time. 565ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.9
Positioning5.6
Utility6.4
Mechanics2.5
Opening Duels4.0
Win Impact7.9

Composite 4.5/10 (Developing), 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 rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time563ms−3ms
first ⅓ avg 566ms → last ⅓ avg 563ms
Headshot accuracy12.9%+0.9%
first ⅓ avg 12.1% → last ⅓ avg 12.9%

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

0.11Best match rating · 13–8 · nuke, 6 Sept →
33%Best headshot accuracy · 8–13 · dust2, 17 Sept →
328msFastest reaction time · 4–13 · nuke, 12 Sept →
13–1Biggest win · ancient, 30 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–13In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 57% over 28ancientWeakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B3316–1748%0.00
infernoA2816–1257%0.00
ancientC177–1041%-0.02
nukeC167–944%-0.01
cache—31–233%-0.03
mirage—31–233%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

505Matches
51%Win rate
0.91Avg K/D
78.2ADR
33%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis450%0.748.8
Inferno367%1.1016.3
Nuke3100%1.2314.7
Ancient3100%1.4117.0

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.

12.1%Headshot accuracy
31.9%Accuracy (enemy spotted)
32.4%Spray accuracy
61.4%Counter-strafing
13.8°Preaim
565msReaction time
48.8%T opening success
43.0%CT opening success
0.69Enemies flashed / flash
14.8%Flash assists
10.26HE damage / grenade
3.00Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.8138° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.1005% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

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

    Flashes per match 3.0048 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–16-0.0515%30 Sept →
nuke15–15-0.0712%30 Sept →
inferno13–40.0114%30 Sept →
inferno13–7-0.046%29 Sept →
nuke11–13-0.055%29 Sept →
dust213–40.0714%29 Sept →
inferno11–130.0214%28 Sept →
dust213–60.0511%28 Sept →
nuke13–5-0.007%28 Sept →
inferno7–13-0.0211%27 Sept →
ancient4–13-0.069%27 Sept →
inferno13–30.0119%27 Sept →
inferno13–9-0.0111%27 Sept →
inferno3–130.039%27 Sept →
nuke13–70.008%26 Sept →
ancient13–4-0.026%26 Sept →
mirage5–13-0.0514%26 Sept →
mirage3–13-0.0121%25 Sept →
inferno13–80.0210%25 Sept →
dust210–13-0.0122%24 Sept →
inferno7–13-0.0016%24 Sept →
inferno13–9-0.0212%24 Sept →
dust213–10-0.0213%23 Sept →
mirage13–11-0.0016%23 Sept →
cache13–110.0110%23 Sept →
inferno14–16-0.0511%22 Sept →
ancient13–2-0.047%22 Sept →
nuke13–5-0.0616%22 Sept →
inferno13–100.059%22 Sept →
dust211–130.0415%22 Sept →
dust213–70.0324%22 Sept →
dust25–13-0.0125%21 Sept →
dust27–130.0016%21 Sept →
ancient12–16-0.0614%20 Sept →
ancient10–13-0.0811%20 Sept →
dust24–13-0.090%20 Sept →
nuke9–13-0.046%20 Sept →
dust213–70.0712%20 Sept →
ancient14–16-0.0214%20 Sept →
inferno8–13-0.038%18 Sept →
ancient13–11-0.0012%18 Sept →
nuke6–13-0.0114%18 Sept →
dust24–130.0413%18 Sept →
ancient13–30.0312%17 Sept →
dust28–13-0.0533%17 Sept →
ancient13–11-0.0111%17 Sept →
inferno13–30.0411%17 Sept →
dust213–8-0.0314%17 Sept →
inferno11–13-0.0110%16 Sept →
dust212–16-0.0316%16 Sept →
dust213–110.0014%15 Sept →
dust215–150.0516%14 Sept →
nuke14–160.0417%14 Sept →
nuke2–13-0.0413%13 Sept →
nuke13–9-0.047%13 Sept →
inferno13–100.029%13 Sept →
dust213–9-0.0212%13 Sept →
ancient6–13-0.028%13 Sept →
nuke4–13-0.0511%12 Sept →
ancient6–13-0.097%12 Sept →
inferno11–130.0211%12 Sept →
dust27–13-0.0715%10 Sept →
ancient7–13-0.0211%10 Sept →
nuke10–13-0.006%10 Sept →
dust213–70.0315%10 Sept →
nuke13–5-0.0416%10 Sept →
ancient13–7-0.0110%9 Sept →
inferno11–13-0.0314%8 Sept →
dust213–70.029%7 Sept →
dust213–5-0.0112%7 Sept →
dust213–50.0323%6 Sept →
dust210–13-0.0218%6 Sept →
nuke13–80.1110%6 Sept →
inferno13–50.0312%5 Sept →
dust212–16-0.0314%5 Sept →
ancient9–13-0.028%5 Sept →
nuke8–13-0.078%5 Sept →
dust211–13-0.0314%5 Sept →
inferno9–60.065%5 Sept →
dust29–13-0.017%5 Sept →
inferno13–11-0.0114%5 Sept →
cache11–13-0.0514%3 Sept →
dust211–13-0.0010%3 Sept →
inferno13–110.0313%3 Sept →
inferno13–7-0.038%2 Sept →
dust210–130.0113%2 Sept →
dust213–110.0514%2 Sept →
dust213–100.0411%2 Sept →
inferno8–130.0113%2 Sept →
nuke13–20.0915%31 Aug →
inferno13–9-0.017%31 Aug →
inferno11–130.0313%31 Aug →
ancient8–130.0415%31 Aug →
inferno13–6-0.038%31 Aug →
dust210–13-0.0115%31 Aug →
dust213–100.0318%30 Aug →
dust213–90.0015%30 Aug →
ancient4–13-0.027%30 Aug →
inferno7–13-0.0114%30 Aug →
ancient13–10.047%30 Aug →

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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