Pяιмє Cнι¢к

Pяιмє Cнι¢к — CS2 Stats

MX76561198127956017[U:1:167690289]Steam profile ↗✓ No bans

1,681Tracked matches62%Win rate2023Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating16,363Purple band · top ~23% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (8 days ago). 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: 16,363 +5,764 1 Aug – 8 Oct · 25 days played
10,59916,572peak 16,5721 Aug8 Oct
16,572Peak Premier in tracked matches
38Days played since 2026-07-15

Premier CS Rating

  • 209 below peak (16,572)
  • +71 over 30 days · steady
  • Next: Pink band at 20,000 — 3,637 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-17
  • Blue band first seen 2026-09-17

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

Share this profile

CSDB.GGPяιмє Cнι¢кPREMIER16,363 · Purple bandcsdb.gg/stats

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Performance scores

Aim63
Positioning51
Utility25

0–100 skill scores via Leetify.

Recent form

HOT53–42–5Last 10053%Win rateWLWWWWWWLW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · +8.7pp headshot accuracy · −2ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 634ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 549ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 549ms

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: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim6.3
Utility2.5
Positioning5.1
Opening Duels2.6
Clutch4.0

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.

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

donk

Plays most like donk 95% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

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

Counter-strafing. Only 69% 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

Aim6.3
Positioning5.1
Utility2.5
Mechanics4.2
Opening Duels4.5
Win Impact9.0

Composite 5.3/10 (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+0.03
first ⅓ avg -0.04 → last ⅓ avg -0.01
Reaction time543ms−152ms
first ⅓ avg 695ms → last ⅓ avg 543ms
Headshot accuracy14.4%+2.7%
first ⅓ avg 11.6% → last ⅓ avg 14.4%

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.

Personal bests

0.14Best match rating · 13–4 · vertigo, 19 Sept →
50%Best headshot accuracy · 13–0 · ancient, 19 Jul →
297msFastest reaction time · 6–13 · dust2, 17 Aug →
13–0Biggest win · dust2, 10 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–3In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 73% over 11mirageWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB2110–1148%-0.03
dust2B199–1047%-0.00
ancientB1910–953%-0.02
anubisS118–373%-0.02
cacheB105–550%-0.03
mirageC83–538%-0.05
nukeB63–350%-0.03
vertigo—32–167%0.03
train—22–0100%-0.01
office—11–0100%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

33Matches
39%Win rate
0.78Avg K/D
66.8ADR
26%Headshot %

Clutches & streaks

40%1v1 clutch win
11%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2812%0.5910.6
Inferno560%0.9317.0
Mirage540%0.6410.6
Ancient450%1.0216.5
Cache367%0.9816.7
Overpass333%0.518.3
Anubis20%0.7412.5
Nuke2100%0.9014.5

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.

14.3%Headshot accuracy
36.8%Accuracy (enemy spotted)
39.6%Spray accuracy
69.0%Counter-strafing
11.1°Preaim
534msReaction time
47.9%T opening success
48.0%CT opening success
0.33Enemies flashed / flash
1.1%Flash assists
9.77HE damage / grenade
5.98Flashes / 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. 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 14.3337% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3313 — below the 0.5 mark we flag

    Grenade Lineups →
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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
train13–6-0.0529%15 Oct →
vertigo10–13-0.0527%15 Oct →
cache13–3-0.0211%15 Oct →
dust213–00.0517%10 Oct →
dust213–60.0343%8 Oct →
cache13–9-0.0210%7 Oct →
anubis13–8-0.018%4 Oct →
nuke13–100.0416%4 Oct →
inferno0–3-0.0220%2 Oct →
nuke2–2-0.0138%2 Oct →
anubis4–00.0429%2 Oct →
dust213–50.088%2 Oct →
dust210–130.0210%2 Oct →
mirage13–50.0122%2 Oct →
mirage2–13-0.1225%27 Sept →
cache6–13-0.0710%27 Sept →
vertigo13–80.0014%25 Sept →
mirage8–130.015%25 Sept →
dust21–13-0.118%23 Sept →
inferno0–13-0.020%23 Sept →
nuke8–13-0.0314%23 Sept →
ancient0–13-0.048%23 Sept →
inferno13–70.0540%19 Sept →
cache13–10-0.050%19 Sept →
vertigo13–40.140%19 Sept →
dust213–110.034%10 Sept →
dust212–120.0417%10 Sept →
inferno13–7-0.0821%9 Sept →
inferno0–13-0.090%9 Sept →
office13–7-0.070%7 Sept →
ancient13–3-0.0214%7 Sept →
inferno13–7-0.036%7 Sept →
inferno2–13-0.110%7 Sept →
cache13–3-0.0125%29 Aug →
cache9–130.072%28 Aug →
mirage10–13-0.0511%28 Aug →
anubis13–9-0.0417%21 Aug →
dust213–10-0.0114%21 Aug →
dust213–70.0538%21 Aug →
dust27–13-0.017%21 Aug →
dust213–70.0510%18 Aug →
anubis13–30.0116%18 Aug →
mirage7–2-0.0311%17 Aug →
anubis6–13-0.0410%17 Aug →
mirage1–13-0.0727%17 Aug →
inferno16–130.0211%17 Aug →
dust26–13-0.0016%17 Aug →
inferno13–110.0813%17 Aug →
ancient16–13-0.0111%17 Aug →
ancient13–70.0318%17 Aug →
ancient1–130.0220%17 Aug →
inferno16–14-0.066%12 Aug →
cache13–9-0.088%12 Aug →
anubis13–9-0.0613%10 Aug →
dust213–80.0323%10 Aug →
inferno11–13-0.045%9 Aug →
ancient13–60.0311%9 Aug →
ancient13–7-0.006%8 Aug →
mirage13–6-0.046%7 Aug →
train13–90.0310%7 Aug →
ancient7–13-0.047%5 Aug →
ancient13–7-0.032%5 Aug →
nuke13–4-0.0814%5 Aug →
dust29–13-0.0310%4 Aug →
ancient10–13-0.083%4 Aug →
inferno13–10-0.016%3 Aug →
ancient11–13-0.056%3 Aug →
anubis13–9-0.065%2 Aug →
inferno13–8-0.0620%2 Aug →
cache6–13-0.023%2 Aug →
inferno8–13-0.0010%1 Aug →
anubis13–6-0.0117%1 Aug →
cache3–13-0.0314%1 Aug →
inferno13–11-0.0110%30 Jul →
dust213–7-0.058%30 Jul →
dust215–150.016%28 Jul →
nuke10–13-0.018%28 Jul →
anubis13–10-0.0418%28 Jul →
ancient5–13-0.055%26 Jul →
inferno8–13-0.015%26 Jul →
inferno13–110.0215%26 Jul →
ancient9–13-0.0615%25 Jul →
inferno11–13-0.047%25 Jul →
inferno3–9-0.260%25 Jul →
anubis15–15-0.0229%24 Jul →
inferno10–13-0.060%23 Jul →
nuke2–13-0.0810%21 Jul →
dust29–13-0.0712%20 Jul →
mirage5–13-0.087%20 Jul →
ancient13–16-0.0110%20 Jul →
anubis15–15-0.019%19 Jul →
ancient13–7-0.0511%19 Jul →
dust26–13-0.0715%19 Jul →
ancient13–00.0050%19 Jul →
ancient13–10-0.0311%19 Jul →
dust215–15-0.086%19 Jul →
ancient9–1-0.0111%19 Jul →
ancient7–13-0.0612%15 Jul →
cache2–13-0.0211%15 Jul →
inferno4–130.0014%15 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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