werf — CS2 Stats

76561199508912211[U:1:1548646483]

127Tracked matches59%Win rate2025Tracked since
1,024Hours in CS60Hrs last 2 wks
CSDB Rating5.0 Developing
Premier CS Rating15,135Purple band · top ~27.9% of ranked players (population est.)
CSDB Leaderboard#28952 of 48483 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSilver II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 medianLevel 6 medianvs Level 6
Headshot rate50.9%44.0%44.7%above
Shot accuracy0.4%11.6%11.9%11.5% short
Kill/death ratio0.821.031.040.22 short
Match win rate47.4%45.1%45.2%above

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGwerfFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,135 · Purple bandcsdb.gg/stats

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Performance scores

Aim52
Positioning46
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY56413Last 10056%Win rateWLLWWLLWWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim5.2
Aggression6.8
Utility3.0
Positioning4.6
Opening Duels3.2
Clutch3.8

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

ropz

Plays most like ropz 81% playstyle similarity

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

Where you differ: lower utility contribution; 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 58% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 688ms 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

Aim5.2
Positioning4.6
Utility3.0
Mechanics6.5
Opening Duels3.5
Win Impact7.9

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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time679ms−48ms
first ⅓ avg 727ms → last ⅓ avg 679ms
Headshot accuracy22.5%+4.5%
first ⅓ avg 17.9% → last ⅓ avg 22.5%

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

0.19Best rating — ancient 13–3
130Biggest win — anubis
9Longest win streak
86In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 69% over 13ancientWeakest map · 46% over 24
MapGradePlayedRecordWin rateAvg rating
ancientB24111346%0.01
dust2A2314961%0.01
nukeS139469%-0.00
anubisS128467%-0.01
mirageA106460%-0.02
infernoB63350%0.02
overpass330100%0.03
train31233%0.03
cache21150%0.01
office2020%-0.01
italy1010%-0.03
alpine1010%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (46% over 24). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,381Lifetime kills
0.82K/D
1,389Matches
47.4%Match win rate · Top 50% of Level 5 players
50.9%Headshot % · Top 25% of Level 5 players
0.4%Shot accuracy
3,310MVPs
747Hours (in match)
1,644Bombs planted
662Bombs defused

Most-used weapons

Lifetime map wins

3,587dust2
1,611nuke
1,023inferno
499train
279vertigo
60office
28italy
8ar_shoots

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

Faceit stats

Combat

96Matches
52%Win rate
0.96Avg K/D
73.5ADR
55%Headshot %

Clutches & streaks

39%1v1 clutch win
27%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust24760%1.0914.6
Ancient2348%0.8013.8
Mirage1533%0.8714.1
Anubis850%0.8011.1
Nuke367%0.8316.0

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.

22.2%Headshot accuracy
29.9%Accuracy (enemy spotted)
32.4%Spray accuracy
79.1%Counter-strafing
10.6°Preaim
688msReaction time
27.9%T opening success
57.9%CT opening success
0.33Enemies flashed / flash
9.1%Flash assists
7.50HE damage / grenade
3.06Flashes / 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 0.3309 — 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 27.9234% — 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.

46% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–00.0637%18 Aug
dust24–13-0.0119%10 Aug
mirage1–13-0.0916%7 Aug
dust213–80.0620%4 Aug
dust213–10-0.0529%23 Jul
nuke6–13-0.0823%23 Jul
anubis11–130.0936%22 Jul
ancient13–50.0719%20 Jul
mirage13–3-0.0412%14 Jul
anubis13–110.0317%13 Jul
dust213–80.0420%13 Jul
nuke9–13-0.0733%10 Jul
dust214–16-0.0423%9 Jul
anubis13–9-0.0216%9 Jul
cache9–130.0118%7 Jul
ancient7–130.0126%6 Jul
mirage13–30.1520%5 Jul
anubis13–2-0.0320%5 Jul
anubis13–100.0223%5 Jul
nuke13–80.0436%4 Jul
overpass6–20.0719%4 Jul
dust215–15-0.0020%3 Jul
ancient5–130.0515%1 Jul
dust213–60.0633%1 Jul
mirage6–13-0.0112%29 Jun
inferno9–13-0.0322%27 Jun
dust216–14-0.0413%27 Jun
inferno7–130.0033%26 Jun
mirage13–10-0.0120%25 Jun
dust213–30.0616%25 Jun
ancient13–10.0731%21 Jun
ancient13–30.0126%21 Jun
nuke13–90.0619%21 Jun
dust213–80.1115%21 Jun
ancient11–130.0625%19 Jun
mirage8–13-0.0119%18 Jun
ancient13–70.0115%17 Jun
ancient11–13-0.0514%16 Jun
mirage13–10-0.0213%15 Jun
ancient7–13-0.1110%14 Jun
dust213–110.0225%12 Jun
dust213–7-0.0125%11 Jun
anubis3–13-0.1019%11 Jun
nuke13–50.009%9 Jun
ancient13–8-0.039%2 Jun
nuke13–4-0.0912%25 May
nuke13–100.0723%22 May
ancient10–130.0323%14 May
ancient4–13-0.0521%11 May
train11–130.0413%7 May
cache13–11-0.0017%29 Apr
ancient9–130.0422%27 Apr
anubis5–13-0.1016%19 Apr
ancient3–13-0.099%17 Apr
nuke3–130.0223%12 Apr
italy7–13-0.0316%4 Apr
nuke4–13-0.0124%3 Apr
mirage13–4-0.079%1 Apr
overpass13–70.0517%31 Mar
ancient13–16-0.0325%31 Mar
ancient13–20.0220%31 Mar
dust213–90.0521%30 Mar
dust25–130.0720%29 Mar
ancient7–130.0626%29 Mar
dust212–120.0221%29 Mar
nuke13–20.0720%22 Mar
dust22–13-0.0315%22 Mar
ancient13–10.0120%21 Mar
dust213–30.0018%21 Mar
anubis13–10-0.0020%20 Mar
overpass13–11-0.0216%12 Mar
ancient13–70.0916%8 Mar
nuke13–1-0.0919%7 Mar
ancient13–8-0.008%5 Mar
dust29–13-0.0415%5 Mar
nuke13–90.0125%3 Mar
mirage4–13-0.0817%3 Mar
mirage13–2-0.0219%2 Mar
ancient8–13-0.0513%1 Mar
ancient13–30.1925%28 Feb
inferno13–50.0712%28 Feb
anubis13–110.0313%27 Feb
train13–110.1019%27 Feb
ancient13–8-0.0323%26 Feb
inferno13–40.1015%26 Feb
dust213–50.1023%25 Feb
anubis13–110.0225%18 Feb
dust213–4-0.0319%15 Feb
dust24–13-0.0429%12 Feb
inferno11–13-0.0310%10 Feb
inferno13–80.009%8 Feb
anubis6–13-0.0623%6 Feb
dust23–130.0029%3 Feb
dust213–7-0.0021%26 Jan
nuke13–70.0313%26 Jan
train12–12-0.0715%25 Jan
ancient12–160.0416%24 Jan
alpine6–13-0.019%23 Jan
office6–130.0429%23 Jan
office3–13-0.078%23 Jan

Match data via Leetify.

Recent teammates

Milestones

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