2009

2009 — CS2 Stats

TC76561199403243456[U:1:1442977728]Steam profile ↗1 game ban

1,394Tracked matches54%Win rate2022Tracked since
CSDB Rating4.6 DevelopingPositional Player
FaceitLevel 7 · 1,394 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (53 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,394 → 1,394
+1Tracked matches · now 1,394
0.0ppWin rate · 53.8% → 53.8%

Rating over time

Premier CS Rating: 21,715 +2,293 10 Oct – 19 Dec · 16 days played
19,32021,715peak 21,71510 Oct19 Dec
Faceit ELO: 1,394 +0 3 Sept – 22 Sept · 4 observations
1,3941,394peak 1,3943 Sept22 Sept
21,833Peak Premier in tracked matches
1,394Highest Faceit ELO seen on CSDB
37Days played since 2025-10-10

Faceit ELO

  • At peak — 1,394
  • Next: Level 8 at 1,531 — 137 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-03
  • Level 6 first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GG2009FACEITLevel 7 · 1,394 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,394csdb.gg/stats

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Performance scores

Aim62
Positioning52
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY46–44–10Last 10046%Win rateLWLWWWLWLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +0.1pp headshot accuracy · −96ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 545ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 524ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 572ms

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 (+1.7 against its own average).

Aim6.2
Utility4.4
Positioning5.2
Opening Duels0.9
Clutch3.6

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 88% 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. 573ms 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

Aim6.2
Positioning5.2
Utility4.4
Mechanics5.9
Opening Duels0.9
Win Impact6.3

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time583ms−3ms
first ⅓ avg 586ms → last ⅓ avg 583ms
Headshot accuracy18.2%−1.0%
first ⅓ avg 19.2% → last ⅓ avg 18.2%

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

0.18Best match rating · 13–3 · ancient, 15 Oct →
43%Best headshot accuracy · 8–8 · inferno, 12 Nov →
430msFastest reaction time · 11–13 · inferno, 19 Dec →
13–1Biggest win · ancient, 18 Dec →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

vertigoBest map · 86% over 7mirageWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC188–1044%0.01
nukeC146–843%-0.01
ancientC146–843%0.00
dust2B126–650%0.01
vertigoS76–186%0.02
trainA74–357%0.00
anubisB63–350%0.01
mirageD62–433%-0.02
overpass—31–233%-0.03
office—30–30%0.02
golden—31–233%0.05
cache—20–20%-0.01
palacio—21–150%-0.02
italy—10–10%0.02
alpine—11–0100%0.02
agency—11–0100%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

105Matches
56%Win rate
1.31Avg K/D
77.2ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke743%1.3615.9
Mirage743%0.8113.6
Ancient580%1.3420.4
Inferno560%1.5612.2
Anubis475%1.4716.8
Dust23100%2.8717.7
Vertigo20%1.0823.0

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.

17.5%Headshot accuracy
32.2%Accuracy (enemy spotted)
35.3%Spray accuracy
76.7%Counter-strafing
10.1°Preaim
573msReaction time
30.1%T opening success
36.7%CT opening success
0.48Enemies flashed / flash
4.6%Flash assists
7.97HE damage / grenade
6.14Flashes / 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 0.4808 — 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 30.144% — below the 40% mark we flag

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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.050%7 Oct →
vertigo13–5-0.0116%28 Jul →
anubis5–13-0.0525%26 Jul →
ancient13–11-0.0018%26 Jul →
inferno13–70.0116%18 Jul →
dust213–10-0.0317%18 Jul →
cache0–30.0133%6 May →
nuke13–9-0.0121%6 May →
cache1–9-0.0426%6 May →
italy11–130.0215%23 Mar →
ancient12–16-0.056%14 Mar →
inferno4–13-0.0318%14 Mar →
alpine13–100.0220%24 Jan →
train12–120.0221%5 Jan →
train13–5-0.0324%5 Jan →
nuke9–130.0739%27 Dec →
inferno12–12-0.0411%27 Dec →
dust212–12-0.008%27 Dec →
inferno9–7-0.0225%27 Dec →
overpass9–4-0.0214%27 Dec →
inferno8–80.0417%27 Dec →
nuke13–9-0.0316%21 Dec →
anubis12–120.0418%21 Dec →
nuke5–13-0.0511%20 Dec →
inferno11–13-0.0320%19 Dec →
dust213–8-0.0014%19 Dec →
inferno13–100.0434%19 Dec →
ancient13–10.0214%18 Dec →
mirage0–13-0.1120%18 Dec →
palacio13–3-0.0217%17 Dec →
inferno2–13-0.0611%17 Dec →
vertigo13–10-0.0514%17 Dec →
ancient13–8-0.0221%17 Dec →
dust29–13-0.0221%17 Dec →
nuke11–130.0416%16 Dec →
inferno8–130.0819%16 Dec →
mirage10–13-0.0418%16 Dec →
nuke7–9-0.1020%14 Dec →
vertigo13–110.0212%14 Dec →
train6–00.0013%14 Dec →
vertigo2–130.0524%14 Dec →
office12–120.1029%13 Dec →
anubis13–20.0812%11 Dec →
vertigo13–40.0720%11 Dec →
anubis10–13-0.0219%11 Dec →
train13–70.0326%11 Dec →
ancient13–10.0826%11 Dec →
agency13–50.0020%8 Dec →
overpass5–13-0.0510%13 Nov →
nuke10–13-0.0131%13 Nov →
inferno13–70.0518%13 Nov →
ancient5–13-0.048%13 Nov →
inferno8–80.0843%12 Nov →
nuke13–70.0622%12 Nov →
vertigo13–110.0920%12 Nov →
dust211–13-0.0213%12 Nov →
ancient5–13-0.057%11 Nov →
office5–13-0.0139%7 Nov →
inferno13–60.0428%7 Nov →
dust210–13-0.0211%6 Nov →
train13–90.0122%6 Nov →
nuke9–30.015%6 Nov →
dust28–13-0.0418%5 Nov →
mirage1–13-0.0714%5 Nov →
ancient14–16-0.0117%3 Nov →
dust213–90.0410%3 Nov →
nuke13–10-0.0217%3 Nov →
train9–13-0.036%3 Nov →
ancient13–10.0814%31 Oct →
inferno13–7-0.069%31 Oct →
dust26–130.0121%30 Oct →
nuke8–13-0.0423%30 Oct →
nuke13–11-0.0123%30 Oct →
ancient12–16-0.0324%30 Oct →
dust213–30.1032%30 Oct →
dust213–110.0631%30 Oct →
office8–13-0.0412%28 Oct →
nuke12–120.0521%28 Oct →
golden11–130.0722%28 Oct →
ancient12–120.018%27 Oct →
vertigo13–10-0.0128%27 Oct →
inferno2–130.0417%24 Oct →
mirage13–70.1012%24 Oct →
inferno13–160.0232%16 Oct →
mirage4–130.0721%16 Oct →
dust213–70.1020%15 Oct →
ancient4–13-0.1111%15 Oct →
anubis13–9-0.0119%15 Oct →
anubis13–110.0019%15 Oct →
ancient13–30.1820%15 Oct →
golden13–20.0620%15 Oct →
palacio12–12-0.0121%14 Oct →
train10–130.0127%14 Oct →
mirage13–10-0.0614%14 Oct →
ancient11–13-0.0124%14 Oct →
inferno9–40.056%14 Oct →
inferno7–9-0.0925%14 Oct →
inferno13–80.1014%13 Oct →
golden9–130.0118%13 Oct →
overpass12–16-0.0220%10 Oct →

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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