chair

chair — CS2 Stats

AX76561198015615043[U:1:55349315]Steam profile ↗VAC banned

393Tracked matches50%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 393 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,486 +2,600 17 Feb – 5 Apr · 10 days played
21,88624,486peak 24,48617 Feb5 Apr
Faceit ELO: 1,594 +0 31 Aug – 15 Oct · 7 observations
1,5941,594peak 1,59431 Aug15 Oct
24,690Peak Premier in tracked matches
1,594Highest Faceit ELO seen on CSDB
33Days played since 2026-02-15

Faceit ELO

  • At peak — 1,594
  • 0 over 30 days · steady
  • Next: Level 9 at 1,751 — 157 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-31
  • Level 7 first seen 2026-08-31

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.GGchair30 DAYS0 ELOPEAK ELO1,594csdb.gg/stats

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Performance scores

Aim79
Positioning58
Utility53

0–100 skill scores via Leetify.

Recent form

COLD55–43–2Last 10055%Win rateLLLWLWLLLW

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · +6.2pp headshot accuracy · −1ms 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 -0.00
  • Avg headshot accuracy 31%
  • Avg reaction 527ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 539ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 539ms

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 against its own average).

Aim7.9
Utility5.3
Positioning5.8
Opening Duels4.5
Clutch3.4

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

m0NESY

Plays most like m0NESY 94% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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. 571ms 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

Aim7.9
Positioning5.8
Utility5.3
Mechanics7.3
Opening Duels3.6
Win Impact5.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time568ms+0ms
first ⅓ avg 568ms → last ⅓ avg 568ms
Headshot accuracy24.9%+4.0%
first ⅓ avg 20.9% → last ⅓ avg 24.9%

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 · 13–9 · ancient, 15 Feb →
43%Best headshot accuracy · 11–13 · cache, 14 Jul →
383msFastest reaction time · 5–13 · dust2, 25 Feb →
13–3Biggest win · anubis, 1 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
11–13In matches decided by ≤2 rounds
20Overtime games

Map breakdown

anubisBest map · 88% over 8ancientWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB3217–1553%0.01
dust2A2113–862%0.01
ancientC166–1038%0.01
infernoB137–654%0.01
anubisS87–188%0.01
nukeA74–357%-0.01
cache—20–20%-0.06
overpass—11–0100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

163Matches
58%Win rate
1.25Avg K/D
92.7ADR
54%Headshot %

Clutches & streaks

37%1v1 clutch win
25%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3962%1.3319.3
Dust22861%1.2220.5
Ancient2259%1.3518.9
Inferno1547%1.0118.7
Anubis786%1.2518.3
Nuke540%1.1917.8
Train540%0.9917.2
Overpass580%1.6021.8

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.

25.0%Headshot accuracy
32.7%Accuracy (enemy spotted)
34.4%Spray accuracy
83.0%Counter-strafing
8.7°Preaim
571msReaction time
37.6%T opening success
51.0%CT opening success
0.67Enemies flashed / flash
4.7%Flash assists
7.57HE damage / grenade
11.89Flashes / 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

    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 37.6237% — below the 40% mark we flag

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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0729%23 Aug →
ancient3–13-0.0235%13 Aug →
dust29–13-0.0123%13 Aug →
dust213–50.0936%13 Aug →
inferno7–130.0132%1 Aug →
inferno13–50.1123%17 Jul →
cache11–13-0.0543%14 Jul →
ancient6–13-0.0817%5 May →
mirage5–13-0.0817%28 Apr →
dust216–14-0.0329%26 Apr →
inferno13–11-0.0025%20 Apr →
dust231–290.0427%17 Apr →
dust213–80.0518%16 Apr →
dust214–16-0.0228%8 Apr →
anubis13–70.0014%8 Apr →
dust219–170.0731%7 Apr →
mirage8–13-0.0119%7 Apr →
inferno10–13-0.0420%7 Apr →
mirage16–120.0325%7 Apr →
anubis13–10-0.0316%7 Apr →
dust213–110.0824%6 Apr →
nuke13–40.1018%5 Apr →
ancient13–90.0125%5 Apr →
mirage11–130.0818%5 Apr →
mirage9–130.0316%5 Apr →
inferno25–21-0.0427%5 Apr →
anubis13–110.0324%5 Apr →
inferno11–13-0.0128%3 Apr →
ancient7–13-0.0120%2 Apr →
nuke7–13-0.0331%2 Apr →
mirage13–110.0336%2 Apr →
mirage13–60.0630%21 Mar →
dust213–90.0519%17 Mar →
anubis16–13-0.0228%16 Mar →
nuke13–7-0.0139%16 Mar →
mirage13–40.0234%16 Mar →
mirage11–130.0128%16 Mar →
mirage13–60.0016%16 Mar →
nuke6–13-0.0513%16 Mar →
ancient15–15-0.0820%6 Mar →
nuke13–8-0.0526%6 Mar →
ancient6–13-0.0520%5 Mar →
mirage7–13-0.0424%4 Mar →
inferno9–130.0033%4 Mar →
mirage13–110.0319%4 Mar →
nuke13–6-0.0119%2 Mar →
mirage13–60.0522%1 Mar →
ancient13–6-0.0040%1 Mar →
ancient14–160.0119%1 Mar →
mirage10–130.0326%1 Mar →
dust213–7-0.0024%1 Mar →
dust210–13-0.0221%1 Mar →
ancient13–70.0232%1 Mar →
dust26–13-0.0422%1 Mar →
mirage8–130.0324%1 Mar →
mirage13–9-0.0632%1 Mar →
anubis13–30.0822%1 Mar →
inferno13–70.0422%1 Mar →
mirage15–15-0.0015%1 Mar →
dust28–20.0232%1 Mar →
nuke8–13-0.0219%1 Mar →
anubis13–9-0.0113%1 Mar →
dust213–70.0413%1 Mar →
mirage14–16-0.0419%1 Mar →
ancient11–130.0318%1 Mar →
ancient5–130.0715%1 Mar →
mirage13–160.0417%1 Mar →
mirage16–19-0.0217%1 Mar →
dust211–13-0.0615%28 Feb →
ancient13–90.0316%28 Feb →
anubis11–13-0.0217%27 Feb →
dust216–120.0116%27 Feb →
ancient16–130.0318%27 Feb →
mirage13–60.0417%27 Feb →
mirage13–7-0.0212%27 Feb →
mirage13–70.0524%27 Feb →
mirage13–7-0.0118%27 Feb →
ancient14–160.0213%27 Feb →
anubis13–80.0321%27 Feb →
dust216–120.0522%27 Feb →
dust214–16-0.0125%25 Feb →
dust25–130.0724%25 Feb →
inferno16–130.0226%25 Feb →
mirage13–100.0321%24 Feb →
dust29–13-0.0919%24 Feb →
mirage10–13-0.0029%24 Feb →
dust213–7-0.0128%24 Feb →
overpass13–11-0.0323%24 Feb →
mirage6–13-0.0340%24 Feb →
inferno16–13-0.0121%24 Feb →
mirage13–90.0320%24 Feb →
mirage13–9-0.0435%23 Feb →
mirage13–40.0418%23 Feb →
mirage10–130.0017%23 Feb →
inferno8–130.0120%17 Feb →
inferno0–13-0.079%16 Feb →
mirage13–110.0022%16 Feb →
ancient11–130.0214%15 Feb →
inferno13–110.0625%15 Feb →
ancient13–90.1125%15 Feb →

Match data via Leetify.

Milestones

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

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