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Shex — CS2 Stats

76561198019184335[U:1:58918607]

1,445Tracked matches54%Win rate2020Tracked since
2,392Hours in CS
CSDB Rating4.3 Developing
FaceitLevel 7 · 1,294 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,762), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate49.1%46.1%47.0%above
Shot accuracy12.1%12.6%12.7%0.6% short
Kill/death ratio0.701.051.070.37 short
Match win rate44.2%45.7%46.4%2.1% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGShexFACEITLevel 7 · 1,294 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim48
Positioning48
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateTLWLLWWWLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim4.8
Aggression5.7
Utility5.8
Positioning4.8
Opening Duels1.7
Clutch2.8

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 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 48% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 650ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.8
Positioning4.8
Utility5.8
Mechanics4.4
Opening Duels2.2
Win Impact6.2

Composite 4.3/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time660ms−14ms
first ⅓ avg 675ms → last ⅓ avg 660ms
Headshot accuracy21.7%+3.4%
first ⅓ avg 18.3% → last ⅓ avg 21.7%

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.

Highlights

0.13Best rating — train 8–0
13–2Biggest win — anubis
7Longest win streak
8–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

overpassBest map · 83% over 6cacheWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB2613–1350%-0.03
dust2C2510–1540%-0.04
ancientB158–753%-0.01
cacheC83–538%-0.03
anubisC83–538%-0.05
mirageS75–271%-0.03
overpassS65–183%0.01
vertigo—21–150%0.00
train—21–150%0.06
nuke—10–10%-0.05

Across the last 100 tracked matches.

Lifetime stats

56,977Lifetime kills
0.70K/D
3,303Matches
44.2%Match win rate
49.1%Headshot % · Top 50% of Level 7 players
12.1%Shot accuracy
4,984MVPs
2,392Hours (in match)
2,839Bombs planted
609Bombs defused

Most-used weapons

AK-4720,837
M4A4 / M4A1-S11,475
Desert Eagle5,032
P2000 / USP-S4,053
AWP2,826
Glock-182,275
UMP-451,399
FAMAS1,122
P2501,108
MAC-10966

Lifetime map wins

11,465inferno
5,750dust2
1,191vertigo
1,031train
909nuke
525cbble
127office
45italy

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

Faceit stats

Combat

971Matches
51%Win rate
0.76Avg K/D
65.6ADR
45%Headshot %

Clutches & streaks

34%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno8861%0.9312.8
Ancient8561%0.8612.6
Dust26141%0.7011.6
Mirage3050%0.7311.5
Overpass2955%0.8713.0
Anubis2564%0.9613.1
Vertigo1338%0.7010.0
Nuke911%0.5710.3

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.

22.1%Headshot accuracy
29.4%Accuracy (enemy spotted)
30.0%Spray accuracy
70.0%Counter-strafing
9.7°Preaim
650msReaction time
25.7%T opening success
47.6%CT opening success
0.47Enemies flashed / flash
8.3%Flash assists
16.16HE damage / grenade
5.89Flashes / 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. 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 0.4748 — 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 25.7193% — below the 40% mark we flag

Spend your practice time on Cache

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

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache15–15-0.0419%22 Jul →
ancient9–13-0.0219%22 Jul →
dust213–10-0.0620%19 Jul →
inferno6–13-0.0426%19 Jul →
ancient4–13-0.0317%19 Jul →
dust211–2-0.0116%19 Jul →
inferno13–90.0021%18 Jul →
inferno13–4-0.0314%18 Jul →
ancient10–13-0.0622%18 Jul →
dust29–13-0.0318%18 Jul →
cache4–13-0.1037%17 Jul →
ancient14–16-0.0021%17 Jul →
cache13–60.0620%17 Jul →
inferno15–15-0.0130%5 Jul →
mirage13–110.0218%5 Jul →
ancient10–13-0.0028%5 Jul →
dust213–10-0.0510%5 Jul →
dust213–8-0.0218%5 Jul →
mirage13–9-0.0427%4 Jun →
cache13–30.0225%4 Jun →
anubis13–2-0.0026%4 Jun →
inferno13–6-0.0119%4 Jun →
cache13–10-0.0237%4 Jun →
inferno1–6-0.0118%4 Jun →
mirage2–13-0.0921%4 Jun →
inferno11–130.0419%4 Jun →
mirage13–90.0324%4 Jun →
dust213–10-0.0024%4 Jun →
vertigo10–130.0023%4 Jun →
inferno11–130.0123%3 Jun →
cache4–13-0.0526%3 Jun →
train12–12-0.0113%3 Jun →
inferno10–13-0.0719%3 Jun →
dust213–8-0.0528%3 Jun →
mirage13–11-0.0528%3 Jun →
cache10–13-0.0317%3 Jun →
dust214–16-0.0821%1 Jun →
cache9–13-0.0724%27 May →
overpass13–20.0520%26 May →
ancient13–7-0.0418%19 Apr →
anubis13–6-0.0327%19 Apr →
mirage13–4-0.0418%19 Apr →
anubis7–13-0.0832%12 Apr →
inferno10–13-0.0440%11 Apr →
inferno13–80.0017%11 Apr →
inferno13–9-0.0526%11 Apr →
ancient13–30.0223%9 Apr →
overpass13–90.0141%9 Apr →
inferno11–130.0011%5 Apr →
ancient13–70.0425%4 Apr →
dust213–9-0.0119%3 Apr →
train8–00.1343%3 Apr →
inferno0–13-0.1314%3 Apr →
overpass12–12-0.0517%3 Apr →
anubis13–7-0.0317%3 Apr →
ancient13–10-0.0720%31 Mar →
nuke5–13-0.0512%25 Mar →
ancient13–110.0117%24 Mar →
anubis7–13-0.0411%14 Mar →
dust210–130.0013%14 Mar →
anubis9–13-0.089%14 Mar →
dust213–6-0.0319%14 Mar →
dust28–13-0.0111%27 Feb →
dust25–13-0.0917%27 Feb →
anubis3–13-0.1212%27 Feb →
ancient13–6-0.0115%26 Feb →
ancient14–16-0.0113%22 Feb →
inferno13–11-0.078%22 Feb →
anubis6–13-0.0326%22 Feb →
dust216–12-0.0424%22 Feb →
inferno13–11-0.1015%21 Feb →
inferno13–16-0.0813%21 Feb →
inferno13–50.0716%21 Feb →
inferno8–13-0.1014%21 Feb →
ancient13–7-0.0412%21 Feb →
inferno13–11-0.0010%20 Feb →
dust211–13-0.0313%20 Feb →
ancient13–10-0.0123%17 Feb →
dust21–13-0.0618%17 Feb →
dust25–13-0.0539%16 Feb →
inferno13–10-0.0211%16 Feb →
inferno9–13-0.0522%16 Feb →
overpass13–40.0211%15 Feb →
inferno13–8-0.0230%15 Feb →
dust26–13-0.0415%15 Feb →
inferno13–10-0.0317%15 Feb →
dust25–13-0.0833%15 Feb →
inferno4–13-0.0121%15 Feb →
dust27–13-0.0516%14 Feb →
overpass13–7-0.0019%13 Feb →
dust29–13-0.0623%13 Feb →
vertigo13–40.0113%13 Feb →
dust26–13-0.0322%13 Feb →
dust28–13-0.0224%13 Feb →
dust213–11-0.0430%12 Feb →
mirage15–15-0.0713%12 Feb →
inferno13–5-0.0410%11 Feb →
ancient5–130.0114%10 Feb →
dust211–13-0.0215%10 Feb →
overpass13–110.0115%1 Feb →

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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