DVNKLXRD — CS2 Stats

76561197993775925[U:1:33510197]

1,002Tracked matches41%Win rate2024Tracked since
1,057Hours in CS11Hrs last 2 wks
CSDB Rating4.1 DevelopingPassive Rifler
Premier CS Rating15,879Purple band · top ~24.9% of ranked players (population est.)
CSDB Leaderboard#31262 of 54864 tracked
FaceitLevel 4 · 793 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 medianLevel 5 medianvs Level 5
Headshot rate41.1%42.7%44.0%2.9% short
Shot accuracy0.0%10.8%11.6%11.6% short
Kill/death ratio0.941.001.030.09 short
Match win rate42.7%44.1%45.1%2.4% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDVNKLXRDFACEITLevel 4 · 793 ELOSTANDINGTop 81.0% of rankedPREMIER15,879 · Purple bandcsdb.gg/stats

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Performance scores

Aim61
Positioning33
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY51445Last 10051%Win rateWLWLLLWLWW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression4.3
Utility5.2
Positioning3.3
Opening Duels0.1
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.

Your pro match

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim6.1
Positioning3.3
Utility5.2
Mechanics3.9
Opening Duels0.2
Win Impact2.1

Composite 4.1/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time589ms−27ms
first ⅓ avg 616ms → last ⅓ avg 589ms
Headshot accuracy20.1%+1.4%
first ⅓ avg 18.7% → last ⅓ avg 20.1%

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 — inferno 13–0
130Biggest win — nuke
8Longest win streak
68In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 71% over 7anubisWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
nukeB28151354%-0.01
infernoC167944%-0.02
cacheB158753%-0.01
anubisD113827%-0.02
ancientA85363%-0.01
mirageS75271%-0.01
dust2C73443%-0.03
trainS64267%0.02
office110100%0.02
vertigo1010%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,652Lifetime kills
0.94K/D
1,488Matches
42.7%Match win rate
41.1%Headshot %
0.0%Shot accuracy
2,398MVPs
573Hours (in match)
1,513Bombs planted
312Bombs defused

Most-used weapons

Lifetime map wins

3,105nuke
2,338inferno
1,072vertigo
775train
710dust2
125office
13ar_shoots
5ar_baggage

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

Faceit stats

Combat

111Matches
47%Win rate
0.93Avg K/D
72.2ADR
38%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke2552%1.0014.0
Anubis2236%0.9613.9
Mirage1958%1.0614.2
Inferno1850%0.8311.7
Vertigo944%0.7410.6
Ancient838%0.9413.4
Cache450%0.8412.5
Overpass333%0.627.7

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.

19.1%Headshot accuracy
32.8%Accuracy (enemy spotted)
33.0%Spray accuracy
67.4%Counter-strafing
8.5°Preaim
583msReaction time
29.7%T opening success
31.3%CT opening success
0.45Enemies flashed / flash
4.0%Flash assists
6.56HE damage / grenade
11.35Flashes / 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 0.4459 — 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 29.691% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
train13–10-0.0111%30 Aug
inferno6–13-0.0624%30 Aug
cache13–50.0313%30 Aug
anubis7–13-0.0211%30 Aug
cache9–13-0.0321%30 Aug
cache10–13-0.0328%29 Aug
mirage4–1-0.0175%29 Aug
dust211–130.0217%26 Aug
inferno13–80.1015%22 Aug
mirage13–8-0.0123%22 Aug
dust213–10-0.0421%21 Aug
inferno10–13-0.0117%21 Aug
nuke11–13-0.0623%18 Aug
dust27–13-0.0518%18 Aug
nuke2–13-0.1011%13 Aug
inferno6–13-0.0421%13 Aug
train5–13-0.0626%12 Aug
inferno13–5-0.0215%12 Aug
nuke11–13-0.0213%12 Aug
inferno1–13-0.0867%9 Aug
nuke11–13-0.0211%9 Aug
mirage13–6-0.0013%9 Aug
inferno8–8-0.0811%9 Aug
inferno9–20.0422%9 Aug
cache13–6-0.0221%4 Aug
anubis15–150.0116%4 Aug
ancient4–13-0.058%31 Jul
nuke13–00.1213%31 Jul
ancient13–70.0213%31 Jul
inferno3–13-0.089%31 Jul
nuke10–13-0.0626%31 Jul
nuke13–110.0523%31 Jul
inferno13–00.137%31 Jul
ancient13–80.0311%30 Jul
nuke13–11-0.029%30 Jul
cache13–16-0.0419%30 Jul
cache11–13-0.0317%30 Jul
nuke13–7-0.0613%30 Jul
nuke13–70.0064%29 Jul
ancient11–13-0.0518%29 Jul
train13–10.0367%29 Jul
cache11–130.0632%29 Jul
nuke7–13-0.0119%29 Jul
anubis0–4-0.060%29 Jul
cache13–60.0127%28 Jul
ancient6–13-0.0415%28 Jul
anubis6–13-0.0221%27 Jul
anubis6–13-0.0513%27 Jul
nuke13–9-0.0212%25 Jul
anubis9–13-0.0122%25 Jul
mirage1–13-0.0211%24 Jul
train3–130.0129%24 Jul
inferno13–70.0830%24 Jul
nuke13–3-0.008%24 Jul
cache13–10-0.0324%24 Jul
inferno13–100.0019%24 Jul
nuke13–100.0116%20 Jul
anubis1–13-0.0423%20 Jul
dust20–13-0.1027%20 Jul
anubis16–14-0.0111%18 Jul
nuke13–110.1111%18 Jul
inferno12–12-0.0820%18 Jul
cache6–13-0.0341%18 Jul
inferno7–13-0.0730%18 Jul
train13–40.1250%18 Jul
nuke12–120.0329%18 Jul
nuke13–10-0.049%17 Jul
anubis3–13-0.057%17 Jul
nuke13–60.067%17 Jul
cache13–10-0.0036%17 Jul
mirage7–13-0.0014%17 Jul
dust216–14-0.0316%17 Jul
nuke13–9-0.059%14 Jul
mirage13–10-0.0321%14 Jul
ancient13–90.024%14 Jul
nuke9–130.0119%14 Jul
dust213–70.0915%14 Jul
nuke6–13-0.0638%14 Jul
anubis13–80.0516%14 Jul
inferno12–12-0.0924%10 Jul
nuke3–13-0.085%10 Jul
cache13–9-0.0512%10 Jul
cache8–13-0.0119%10 Jul
nuke13–9-0.0224%8 Jul
office13–50.0255%8 Jul
train13–80.0316%8 Jul
vertigo9–13-0.0331%8 Jul
nuke11–13-0.0421%8 Jul
anubis13–10-0.0319%27 Jun
nuke19–17-0.0121%27 Jun
cache13–5-0.0411%21 Jun
mirage13–80.0310%21 Jun
nuke13–60.0622%21 Jun
ancient13–70.0610%21 Jun
inferno13–7-0.0622%16 Jun
cache13–30.0335%16 Jun
nuke9–130.0216%16 Jun
dust24–13-0.069%13 Jun
ancient16–12-0.0616%31 May
nuke10–13-0.0015%31 May

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 →