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n — CS2 Stats

CH76561198290127034[U:1:329861306]Steam profile ↗✓ No bans

756Tracked matches59%Win rate2021Tracked since
CSDB Rating3.3 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 756 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 34 days played since 23 Sep 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 19,634 +1,582 23 Sept8 Jun · 25 days played
15,00019,999peak 19,99923 Sept8 Jun
19,999Peak Premier in tracked matches
34Days played since 2025-09-23

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

Performance scores

Aim31
Positioning34
Utility7

0–100 skill scores via Leetify.

Recent form

STEADY51472Last 10051%Win rateWLLWLLWLWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −4.5pp headshot accuracy · −134ms reaction

Win rate +10pp 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

  • 23 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 510ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 549ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 616ms

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 PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim3.1
Utility0.7
Positioning3.4
Opening Duels0.0
Clutch3.4

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

iM

Plays most like iM 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 653ms 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

Aim3.1
Positioning3.4
Utility0.7
Mechanics5.5
Opening Duels0.0
Win Impact7.9

Composite 3.3/10 (Learning), 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-0.06−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.06
Reaction time652ms−7ms
first ⅓ avg 659ms → last ⅓ avg 652ms
Headshot accuracy17.4%−2.8%
first ⅓ avg 20.2% → last ⅓ avg 17.4%

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

0.09Best match rating · 4–0 · ancient, 13 Oct
50%Best headshot accuracy · 4–0 · ancient, 13 Oct
469msFastest reaction time · 8–13 · ancient, 23 Jul
13–0Biggest win · mirage, 26 Oct

Across the last 100 tracked matches.

Highlights

8Longest win streak
66In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 76% over 17anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A22121055%-0.06
mirageA2011955%-0.07
ancientS1713476%-0.04
nukeC94544%-0.05
anubisD92722%-0.07
trainD82625%-0.05
cacheS64267%-0.05
overpassB63350%-0.05
inferno3030%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

90Matches
50%Win rate
0.54Avg K/D
48.4ADR
51%Headshot %

Clutches & streaks

37%1v1 clutch win
9%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient2255%0.609.3
Anubis1942%0.478.2
Inferno1450%0.599.7
Mirage1354%0.578.1
Dust2922%0.487.1
Nuke475%0.569.0
Train450%0.608.8
Overpass2100%0.498.0

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.

17.3%Headshot accuracy
22.2%Accuracy (enemy spotted)
21.4%Spray accuracy
75.0%Counter-strafing
8.9°Preaim
653msReaction time
12.8%T opening success
26.4%CT opening success
0.03Enemies flashed / flash
0.0%Flash assists
5.81HE damage / grenade
0.21Flashes / 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

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

    Enemies flashed per flash 0.0324 — below the 0.5 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 12.7525% — below the 40% mark we flag

Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0721%23 Jul
mirage4–13-0.0821%23 Jul
ancient8–13-0.0517%23 Jul
nuke13–8-0.0514%8 Jun
dust20–13-0.040%8 Jun
cache4–13-0.0521%8 Jun
cache13–6-0.0714%8 Jun
cache3–13-0.0420%3 Jun
cache13–8-0.074%3 Jun
cache13–10-0.039%3 Jun
mirage4–13-0.1026%4 May
ancient13–10-0.0221%4 May
anubis7–13-0.0825%4 May
mirage13–16-0.0813%20 Apr
anubis13–16-0.0219%20 Apr
mirage4–13-0.0816%20 Apr
dust213–4-0.0425%16 Apr
mirage10–13-0.0818%16 Apr
dust213–10-0.067%16 Apr
nuke13–7-0.0216%13 Apr
mirage13–8-0.0617%13 Apr
dust213–3-0.0220%13 Apr
mirage9–13-0.0631%31 Mar
dust215–15-0.0623%31 Mar
ancient13–8-0.0221%26 Mar
dust213–9-0.0813%26 Mar
mirage13–4-0.0642%26 Mar
ancient13–9-0.0319%12 Mar
mirage13–11-0.106%12 Mar
nuke13–3-0.084%9 Mar
anubis3–13-0.1220%9 Mar
dust213–5-0.0323%9 Mar
mirage13–10-0.1110%9 Mar
anubis6–13-0.029%4 Mar
ancient13–5-0.100%4 Mar
dust216–13-0.0525%4 Mar
anubis10–13-0.1017%2 Mar
dust26–13-0.0524%2 Mar
anubis4–13-0.1122%24 Feb
ancient13–9-0.0222%24 Feb
mirage13–6-0.0523%24 Feb
mirage13–16-0.0721%19 Feb
dust29–13-0.0616%19 Feb
anubis13–11-0.077%19 Feb
ancient13–11-0.0713%16 Feb
overpass15–15-0.0417%16 Feb
anubis9–13-0.0825%15 Feb
anubis13–10-0.0723%15 Feb
ancient14–16-0.0912%15 Jan
nuke8–13-0.1212%15 Jan
dust213–10-0.066%15 Jan
train10–13-0.049%23 Nov
dust213–6-0.0612%23 Nov
train10–13-0.0318%23 Nov
dust29–13-0.0516%23 Nov
nuke10–13-0.0420%19 Nov
dust26–13-0.087%19 Nov
train13–60.0133%11 Nov
ancient13–10-0.039%11 Nov
mirage13–5-0.0430%10 Nov
ancient13–8-0.0224%10 Nov
dust25–13-0.0929%10 Nov
dust211–13-0.0816%6 Nov
train9–13-0.0814%6 Nov
ancient13–2-0.0320%6 Nov
dust213–11-0.0617%4 Nov
train13–16-0.0722%4 Nov
mirage13–7-0.058%4 Nov
ancient8–13-0.0418%3 Nov
inferno9–13-0.0615%3 Nov
overpass13–8-0.0126%3 Nov
train3–13-0.1031%27 Oct
mirage13–11-0.0422%27 Oct
train13–11-0.0230%27 Oct
nuke12–16-0.0515%26 Oct
overpass11–13-0.0819%26 Oct
dust26–13-0.086%26 Oct
mirage13–0-0.147%26 Oct
ancient4–00.0950%13 Oct
overpass13–10-0.0323%13 Oct
mirage16–13-0.097%13 Oct
ancient13–5-0.0216%12 Oct
dust213–10-0.0613%12 Oct
mirage13–10-0.0227%12 Oct
ancient13–6-0.0114%10 Oct
inferno6–13-0.0713%10 Oct
nuke13–10-0.0524%10 Oct
dust213–9-0.0720%10 Oct
overpass13–4-0.0812%10 Oct
nuke3–13-0.037%7 Oct
ancient8–13-0.1133%7 Oct
mirage10–13-0.0515%7 Oct
inferno14–16-0.0121%30 Sept
train11–13-0.0421%30 Sept
nuke2–13-0.0616%30 Sept
overpass9–13-0.0824%28 Sept
mirage8–13-0.0139%28 Sept
ancient13–9-0.0810%28 Sept
dust213–2-0.0250%23 Sept
dust211–13-0.1114%23 Sept

Match data via Leetify.

Recent teammates

Milestones

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