Foldy Chair

Foldy Chair — CS2 Stats

US76561198985258630[U:1:1024992902]Steam profile ↗✓ No bans

3,181Tracked matches47%Win rate2020Tracked since
4,762Hours in CS24Hrs last 2 wks
CSDB Rating5.0 Developing
Premier CS Rating17,394Purple band · top ~18.9% of ranked players (population est.)
CSDB Leaderboard#4893 of 8455 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGFoldy ChairFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,394 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning48
Utility50

0–100 skill scores via Leetify.

Recent form

COLD46477Last 10046%Win rateLLLLWWLLLW

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

Aim5.6
Aggression4.5
Utility5.0
Positioning4.8
Opening Duels2.0
Clutch0.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

T-side openings. Opening success drops from 51% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 665ms 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

Aim5.6
Positioning4.8
Utility5.0
Mechanics6.3
Opening Duels2.6
Win Impact3.9

Composite 5.0/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time667ms−2ms
first ⅓ avg 669ms → last ⅓ avg 667ms
Headshot accuracy17.3%+1.7%
first ⅓ avg 15.7% → last ⅓ avg 17.3%

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.

Highlights

0.24Best rating — vertigo 9–0
131Biggest win — inferno
5Longest win streak
L4Current streak
713In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 67% over 6dust2Weakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
dust2D1861233%-0.02
mirageC1761135%-0.02
nukeA1710759%-0.01
infernoB179853%-0.02
cacheC167944%-0.01
ancientS64267%-0.00
anubis42250%-0.04
vertigo21150%0.15
overpass2020%-0.03
debris110100%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

114,836Lifetime kills
1.05K/D · Top 50% of tracked players
5,398Matches
45.4%Match win rate
40.9%Headshot %
18.2%Shot accuracy · Top 10% of tracked players
12,296MVPs
2,309Hours (in match)
4,913Bombs planted
1,017Bombs defused

Most-used weapons

AK-4742,475
AWP8,240
FAMAS3,283
AUG3,067
MP92,169

Lifetime map wins

8,335inferno
7,088nuke
5,918vertigo
4,594dust2
2,403train
241lake
110office
19safehouse

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

Faceit stats

Combat

130Matches
50%Win rate
0.94Avg K/D
73.4ADR
36%Headshot %

Clutches & streaks

22%1v1 clutch win
15%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1155%0.7714.0
Anubis617%0.7913.7
Ancient475%1.0213.3
Nuke450%0.8812.5
Vertigo475%0.9918.3
Dust2367%1.0912.0
Train250%1.0513.5
Inferno1100%1.2719.0

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.

16.7%Headshot accuracy
36.8%Accuracy (enemy spotted)
34.5%Spray accuracy
78.4%Counter-strafing
11.6°Preaim
665msReaction time
25.4%T opening success
50.6%CT opening success
0.66Enemies flashed / flash
11.8%Flash assists
11.49HE damage / grenade
4.56Flashes / 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 25.3692% — below the 40% mark we flag

Spend your practice time on Dust 2

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 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust21–13-0.0521%27 Aug
mirage13–160.0313%26 Aug
nuke7–13-0.0232%26 Aug
mirage11–130.0123%26 Aug
dust213–2-0.0115%26 Aug
cache13–80.048%26 Aug
nuke9–13-0.0510%26 Aug
mirage6–13-0.0516%26 Aug
mirage1–6-0.0725%26 Aug
nuke13–110.0415%26 Aug
dust213–20.0516%26 Aug
ancient16–14-0.0112%25 Aug
nuke4–130.0227%25 Aug
dust211–13-0.1010%24 Aug
mirage5–13-0.0915%24 Aug
inferno16–12-0.0112%24 Aug
dust22–11-0.0915%24 Aug
mirage13–10-0.0226%23 Aug
dust26–13-0.0120%23 Aug
dust211–130.0117%22 Aug
cache13–9-0.0717%22 Aug
dust29–13-0.0524%22 Aug
mirage16–130.0315%19 Aug
dust216–12-0.035%19 Aug
inferno13–30.0520%19 Aug
nuke13–10-0.0213%19 Aug
dust216–130.0018%19 Aug
inferno3–9-0.1527%19 Aug
mirage10–13-0.0015%18 Aug
ancient13–50.0816%18 Aug
dust23–13-0.0632%17 Aug
mirage7–13-0.0113%17 Aug
nuke9–13-0.059%11 Aug
cache6–13-0.037%10 Aug
nuke13–9-0.0214%9 Aug
inferno9–4-0.0830%4 Aug
inferno8–8-0.0018%4 Aug
dust211–13-0.0410%4 Aug
anubis13–20.0113%4 Aug
nuke13–80.0218%4 Aug
nuke11–130.0013%4 Aug
dust213–100.0119%4 Aug
nuke11–130.0121%4 Aug
dust215–150.0013%4 Aug
mirage13–7-0.058%4 Aug
cache13–30.0716%3 Aug
mirage13–100.0520%3 Aug
inferno8–8-0.0426%3 Aug
mirage3–13-0.0613%28 Jul
ancient1–13-0.0910%28 Jul
cache3–13-0.0622%28 Jul
anubis11–13-0.0117%23 Jul
cache10–13-0.0414%23 Jul
vertigo9–00.2425%21 Jul
inferno4–130.0025%21 Jul
cache11–13-0.009%18 Jul
inferno6–9-0.1715%17 Jul
vertigo8–80.0519%17 Jul
inferno8–8-0.1016%17 Jul
cache11–13-0.0123%15 Jul
debris9–4-0.0419%15 Jul
cache13–11-0.0212%15 Jul
inferno9–30.1121%15 Jul
mirage4–13-0.0210%13 Jul
nuke13–16-0.0316%13 Jul
dust210–13-0.0120%13 Jul
nuke16–13-0.0613%13 Jul
cache8–13-0.0120%13 Jul
inferno13–60.0312%13 Jul
inferno7–13-0.0014%13 Jul
cache11–13-0.029%13 Jul
inferno13–100.0017%13 Jul
anubis5–13-0.0818%13 Jul
inferno13–10.0215%13 Jul
nuke16–14-0.0413%11 Jul
ancient10–13-0.0418%11 Jul
nuke13–11-0.0917%11 Jul
dust24–130.0028%11 Jul
nuke13–6-0.002%10 Jul
ancient13–80.0218%10 Jul
cache13–90.0819%10 Jul
cache15–15-0.0612%10 Jul
ancient13–50.017%10 Jul
cache16–13-0.0014%9 Jul
cache13–80.029%9 Jul
mirage12–12-0.0115%8 Jul
cache11–13-0.0115%7 Jul
mirage13–40.0131%2 Jul
anubis13–7-0.0914%2 Jul
overpass14–160.0113%2 Jul
mirage13–10-0.0413%2 Jul
nuke13–110.0411%1 Jul
mirage11–13-0.0233%29 Jun
dust216–120.0020%26 Jun
inferno13–90.0116%25 Jun
inferno8–130.0129%25 Jun
overpass6–13-0.0613%25 Jun
dust23–130.084%25 Jun
nuke13–80.0321%25 Jun
inferno13–11-0.038%25 Jun

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 →