Chair

Chair — CS2 Stats

GB76561198121998245[U:1:161732517]Steam profile ↗✓ No bans

1,366Tracked matches59%Win rate2020Tracked since
3,487Hours in CS
CSDB Rating6.8 SolidSupport
Premier CS Rating21,673Pink band · top ~6.7% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

Share this profile

CSDB.GGChairFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,673 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim70
Positioning59
Utility68

0–100 skill scores via Leetify.

Recent form

HOT54–42–4Last 10054%Win rateLWWLWWWWLW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · +1.1pp headshot accuracy · +30ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 611ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 607ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 592ms

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 (+1.9 against its own average).

Aim7.0
Utility6.8
Positioning5.9
Opening Duels4.0
Clutch3.0

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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. 597ms 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

Aim7.0
Positioning5.9
Utility6.8
Mechanics6.6
Opening Duels5.7
Win Impact7.9

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time597ms−11ms
first ⅓ avg 608ms → last ⅓ avg 597ms
Headshot accuracy20.7%−2.1%
first ⅓ avg 22.8% → last ⅓ avg 20.7%

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 · 13–5 · nuke, 11 Nov →
42%Best headshot accuracy · 13–6 · nuke, 3 Nov →
430msFastest reaction time · 7–13 · inferno, 23 Sept →
13–1Biggest win · mirage, 13 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 78% over 18infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%-0.01
dust2A1911–858%-0.01
nukeS1814–478%0.02
cacheC146–843%-0.01
anubisB105–550%0.03
infernoD92–722%-0.04
ancientC52–340%-0.03
office—11–0100%-0.11
vertigo—11–0100%0.03

Across the last 100 tracked matches.

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

Lifetime stats

119,766Lifetime kills
0.95K/D
6,271Matches
39.6%Match win rate
46.6%Headshot %
11.9%Shot accuracy
14,404MVPs
3,487Hours (in match)
5,068Bombs planted
1,604Bombs defused

Most-used weapons

AK-4747,752
AWP15,569
P2502,032
P901,985
UMP-451,845

Lifetime map wins

5,782inferno
4,289dust2
3,947nuke
3,933train
2,596vertigo
2,060cbble
179safehouse
178lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,099Matches
52%Win rate
1.03Avg K/D
81.0ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust27050%1.0316.4
Mirage6447%1.0514.9
Inferno5050%0.9715.7
Anubis4657%1.1116.4
Nuke4358%1.1416.1
Ancient3247%1.1615.5
Cache3158%1.1515.2
Vertigo1436%1.2417.6

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.

19.5%Headshot accuracy
36.1%Accuracy (enemy spotted)
38.5%Spray accuracy
79.9%Counter-strafing
11.0°Preaim
597msReaction time
55.3%T opening success
50.2%CT opening success
0.69Enemies flashed / flash
7.6%Flash assists
16.70HE damage / grenade
9.83Flashes / match

Recommended for you

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0814%11 Nov →
anubis13–50.0323%11 Nov →
inferno13–90.0215%11 Nov →
dust211–13-0.0718%11 Nov →
nuke13–50.1121%11 Nov →
mirage13–70.0514%9 Nov →
mirage13–11-0.019%9 Nov →
nuke13–60.0042%3 Nov →
nuke10–13-0.0219%3 Nov →
mirage13–100.0417%3 Nov →
anubis13–70.1015%3 Nov →
dust213–90.0331%2 Nov →
anubis11–13-0.0110%29 Oct →
cache13–80.0618%29 Oct →
cache6–13-0.0120%29 Oct →
mirage4–13-0.0412%29 Oct →
dust211–130.0129%29 Oct →
cache12–120.0119%28 Oct →
mirage3–30.0111%28 Oct →
inferno11–13-0.0915%25 Oct →
nuke9–13-0.0340%25 Oct →
cache13–90.0230%24 Oct →
anubis13–160.0015%24 Oct →
mirage13–70.0212%19 Oct →
dust213–70.0326%16 Oct →
nuke13–90.0623%16 Oct →
mirage2–13-0.0716%16 Oct →
nuke13–50.0330%16 Oct →
mirage19–160.028%14 Oct →
ancient6–13-0.0717%14 Oct →
nuke13–2-0.0833%14 Oct →
nuke16–130.0334%14 Oct →
inferno8–80.0327%14 Oct →
nuke9–13-0.0323%14 Oct →
dust28–130.0216%13 Oct →
nuke13–9-0.0418%13 Oct →
dust213–90.0425%13 Oct →
nuke13–100.0626%13 Oct →
mirage5–13-0.089%12 Oct →
dust213–60.0719%12 Oct →
mirage10–13-0.0025%12 Oct →
mirage7–13-0.0416%12 Oct →
cache8–13-0.0135%11 Oct →
nuke13–40.1015%11 Oct →
inferno8–13-0.0820%7 Oct →
dust213–9-0.0726%7 Oct →
inferno8–13-0.1014%7 Oct →
mirage5–13-0.0232%7 Oct →
ancient13–80.0023%7 Oct →
cache15–15-0.0431%7 Oct →
inferno11–13-0.0520%6 Oct →
mirage10–13-0.0213%6 Oct →
dust21–60.0025%6 Oct →
nuke13–110.0622%5 Oct →
dust213–7-0.039%5 Oct →
anubis12–120.0621%2 Oct →
ancient5–13-0.0722%1 Oct →
dust213–11-0.0318%1 Oct →
mirage19–17-0.0830%29 Sept →
mirage13–10-0.0026%29 Sept →
dust26–13-0.0725%29 Sept →
cache8–13-0.0225%27 Sept →
nuke16–13-0.0320%26 Sept →
office13–10-0.115%24 Sept →
inferno7–13-0.0618%23 Sept →
ancient6–13-0.0423%23 Sept →
vertigo13–50.0319%23 Sept →
anubis16–140.0123%22 Sept →
mirage13–40.0124%22 Sept →
dust213–40.0818%22 Sept →
mirage13–50.0831%20 Sept →
cache0–7-0.080%20 Sept →
dust215–19-0.0623%19 Sept →
mirage4–13-0.1015%18 Sept →
dust216–120.0021%18 Sept →
dust211–13-0.0425%18 Sept →
cache4–13-0.0412%18 Sept →
ancient13–100.0419%18 Sept →
dust211–13-0.0225%18 Sept →
inferno5–13-0.0225%17 Sept →
mirage8–130.0025%17 Sept →
mirage13–80.0321%17 Sept →
dust216–140.0019%17 Sept →
cache13–80.0025%17 Sept →
nuke13–30.0832%17 Sept →
anubis11–130.0634%16 Sept →
anubis12–160.0621%16 Sept →
nuke8–13-0.0217%15 Sept →
anubis13–10-0.0220%15 Sept →
cache4–13-0.0710%15 Sept →
anubis16–140.0220%13 Sept →
dust213–6-0.0123%13 Sept →
mirage9–130.0116%13 Sept →
mirage13–1-0.0435%13 Sept →
nuke13–80.0526%13 Sept →
inferno13–10.0229%13 Sept →
nuke13–50.0931%12 Sept →
cache13–110.0223%12 Sept →
cache13–50.0638%12 Sept →
cache13–8-0.0025%12 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.