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FoldingChairJohnson — CS2 Stats

76561198269370895[U:1:309105167]

3,105Tracked matches50%Win rate2020Tracked since
CSDB Rating5.3 DevelopingHybrid Rifler
Premier CS Rating23,999Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)
CSDB Leaderboard#4739 of 24306 tracked
FaceitLevel 7 · 1,849 ELOTop 42.3% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GGFoldingChairJohnsonFACEITLevel 7 · 1,849 ELOSTANDINGTop 42.3% of rankedPREMIER23,999 · Pink bandcsdb.gg/stats

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Performance scores

Aim73
Positioning47
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateLWLLLLLWWW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.3
Aggression4.7
Utility3.5
Positioning4.7
Opening Duels1.6
Clutch4.2

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.

Your pro match

NiKo

Plays most like NiKo 87% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.3
Positioning4.7
Utility3.5
Mechanics5.9
Opening Duels1.7
Win Impact5.0

Composite 5.3/10 (Developing), 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 rating-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time521ms−41ms
first ⅓ avg 562ms → last ⅓ avg 521ms
Headshot accuracy11.3%+0.6%
first ⅓ avg 10.7% → last ⅓ avg 11.3%

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

0.17Best rating — dust2 13–7
13–0Biggest win — ancient
5Longest win streak
6–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 64% over 11anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A3723–1462%0.03
mirageB2111–1052%0.01
ancientA159–660%0.02
infernoA117–464%-0.00
anubisD72–529%-0.00
nukeD62–433%0.02
cache—31–233%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,033Matches
50%Win rate
1.15Avg K/D
91.2ADR
34%Headshot %

Clutches & streaks

41%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust218761%1.2618.4
Mirage14142%1.0316.5
Ancient10643%1.2018.5
Anubis9647%1.2117.9
Inferno7755%1.0917.4
Nuke3933%1.2118.1
Vertigo3253%1.2118.3
Cache1644%0.9616.1

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.

11.0%Headshot accuracy
34.9%Accuracy (enemy spotted)
38.6%Spray accuracy
76.6%Counter-strafing
7.3°Preaim
530msReaction time
29.6%T opening success
43.5%CT opening success
0.61Enemies flashed / flash
6.8%Flash assists
7.64HE damage / grenade
1.32Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.0299% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.3218 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 29.5636% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno0–9-0.070%28 Aug →
mirage13–60.0513%28 Aug →
anubis5–13-0.0113%27 Aug →
mirage13–16-0.022%26 Aug →
mirage1–4-0.0611%26 Aug →
ancient14–16-0.0214%26 Aug →
nuke0–7-0.0614%26 Aug →
anubis13–9-0.007%25 Aug →
dust213–6-0.0416%25 Aug →
mirage13–10.0612%25 Aug →
dust26–130.0414%25 Aug →
dust213–100.003%24 Aug →
ancient13–110.0114%24 Aug →
mirage11–13-0.018%23 Aug →
mirage13–110.0710%23 Aug →
dust210–13-0.024%23 Aug →
cache13–7-0.0618%23 Aug →
mirage16–120.019%22 Aug →
ancient13–100.069%22 Aug →
ancient3–13-0.0511%21 Aug →
dust27–13-0.0113%21 Aug →
mirage13–9-0.0015%21 Aug →
dust28–13-0.0720%21 Aug →
dust212–16-0.0118%21 Aug →
mirage13–40.0316%21 Aug →
dust213–60.037%21 Aug →
inferno6–13-0.064%21 Aug →
inferno13–8-0.0912%20 Aug →
ancient13–90.0411%20 Aug →
dust29–13-0.0215%20 Aug →
dust27–130.0314%20 Aug →
dust212–20.0822%20 Aug →
inferno13–8-0.029%20 Aug →
ancient13–30.067%20 Aug →
dust216–12-0.0112%20 Aug →
dust25–130.0410%20 Aug →
anubis4–13-0.0211%20 Aug →
dust213–80.0315%20 Aug →
mirage13–40.032%20 Aug →
ancient2–13-0.029%20 Aug →
dust213–60.024%20 Aug →
ancient13–50.0511%20 Aug →
mirage9–13-0.0317%20 Aug →
dust213–100.0114%20 Aug →
dust210–13-0.0213%19 Aug →
ancient13–0-0.0017%19 Aug →
anubis12–40.018%19 Aug →
dust213–80.0618%19 Aug →
mirage10–13-0.007%19 Aug →
dust213–20.119%19 Aug →
mirage13–50.0418%19 Aug →
inferno13–6-0.0311%18 Aug →
dust213–70.0216%18 Aug →
dust27–13-0.039%18 Aug →
dust213–80.0513%18 Aug →
anubis7–13-0.0516%18 Aug →
nuke13–30.0810%18 Aug →
anubis7–130.027%18 Aug →
dust213–110.1011%17 Aug →
dust213–70.1727%17 Aug →
ancient1–13-0.028%17 Aug →
mirage13–110.1016%17 Aug →
dust213–60.038%17 Aug →
mirage13–9-0.0010%17 Aug →
ancient13–90.0619%15 Aug →
inferno13–7-0.0112%15 Aug →
cache10–13-0.0513%15 Aug →
nuke9–130.0415%14 Aug →
nuke1–13-0.054%14 Aug →
dust211–130.008%14 Aug →
dust213–40.097%13 Aug →
mirage13–9-0.058%13 Aug →
nuke16–12-0.019%13 Aug →
mirage11–13-0.044%13 Aug →
dust216–130.048%13 Aug →
dust213–110.0413%13 Aug →
inferno13–100.1116%13 Aug →
dust213–40.147%12 Aug →
mirage4–130.0315%12 Aug →
dust213–8-0.007%12 Aug →
mirage7–130.024%12 Aug →
dust213–60.118%12 Aug →
ancient14–160.018%12 Aug →
ancient13–110.1110%12 Aug →
inferno13–2-0.004%12 Aug →
mirage10–13-0.056%12 Aug →
inferno13–30.056%12 Aug →
inferno9–130.1114%12 Aug →
dust27–130.0512%12 Aug →
mirage1–8-0.0729%12 Aug →
anubis11–130.047%11 Aug →
inferno10–130.0114%11 Aug →
nuke14–160.1313%10 Aug →
cache15–15-0.0120%10 Aug →
dust213–40.099%10 Aug →
ancient13–4-0.055%10 Aug →
dust20–4-0.0725%10 Aug →
dust216–130.0713%10 Aug →
ancient11–130.0515%10 Aug →
dust28–130.0610%10 Aug →

Match data via Leetify.

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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