VolkL Neoxa — CS2 Stats

76561198214286539[U:1:254020811]

1,008Tracked matches59%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPassive Rifler
Premier CS Rating16,869Purple band · top ~21% of ranked players (population est.)
CSDB Leaderboard#15905 of 28263 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGVolkL NeoxaFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER16,869 · Purple bandcsdb.gg/stats

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Performance scores

Aim70
Positioning40
Utility47

0–100 skill scores via Leetify.

Recent form

HOT49438Last 10049%Win rateWWLWWWWLWW

Last 10 vs previous 10: +40pp win rate · -0.03 avg rating

Player DNA

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

Aim7.0
Aggression3.8
Utility4.7
Positioning4.0
Opening Duels0.0
Clutch4.0

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 82% 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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Reaction time. 621ms 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

Aim7.0
Positioning4.0
Utility4.7
Mechanics6.8
Opening Duels0.0
Win Impact8.1

Composite 5.4/10 (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+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time627ms−9ms
first ⅓ avg 637ms → last ⅓ avg 627ms
Headshot accuracy22.5%−0.3%
first ⅓ avg 22.8% → 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

0.15Best rating — mirage 13–7
131Biggest win — inferno
5Longest win streak
W2Current streak
75In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 67% over 6trainWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B1910953%-0.03
nukeD1861233%-0.02
infernoB189950%-0.02
mirageA149564%-0.00
ancientC73443%0.01
trainD72529%-0.03
cacheS64267%-0.01
anubisA53260%0.00
overpass32167%-0.01
boulder1010%-0.02
office1010%-0.05
vertigo110100%0.00

Across the last 100 tracked matches.

Faceit stats

Combat

324Matches
51%Win rate
1.06Avg K/D
63.9ADR
49%Headshot %

Clutches & streaks

40%1v1 clutch win
9%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno2378%0.9412.7
Anubis944%0.8813.6
Nuke875%0.8612.9
Ancient650%0.7913.5
Mirage667%0.9012.8
Dust2367%0.7310.0
Vertigo3100%1.1515.7
Overpass250%1.2820.0

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.

22.4%Headshot accuracy
33.9%Accuracy (enemy spotted)
40.6%Spray accuracy
80.6%Counter-strafing
11.1°Preaim
621msReaction time
30.3%T opening success
26.9%CT opening success
0.44Enemies flashed / flash
6.4%Flash assists
7.78HE damage / grenade
7.90Flashes / 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 0.4421 — 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 30.292% — below the 40% mark we flag

Spend your practice time on Train

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.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache16–120.0128%25 Aug
mirage16–14-0.0511%25 Aug
nuke4–13-0.0825%25 Aug
ancient13–8-0.0030%25 Aug
mirage13–8-0.0522%22 Aug
dust213–8-0.0418%22 Aug
cache16–12-0.0321%22 Aug
dust214–16-0.0317%21 Aug
dust213–100.0120%19 Aug
dust28–10.0319%18 Aug
boulder8–13-0.0216%18 Aug
train1–13-0.0244%18 Aug
train13–6-0.0418%18 Aug
nuke12–12-0.0221%18 Aug
mirage13–50.0126%16 Aug
ancient8–13-0.0311%16 Aug
mirage13–70.1544%16 Aug
nuke12–12-0.0231%16 Aug
cache15–150.0131%16 Aug
mirage13–50.0415%16 Aug
dust24–13-0.0626%16 Aug
nuke9–13-0.0418%16 Aug
dust24–13-0.0320%15 Aug
inferno3–13-0.0519%15 Aug
nuke13–100.0121%15 Aug
inferno11–13-0.0124%15 Aug
dust213–7-0.0125%11 Aug
cache13–10-0.0318%10 Aug
mirage13–100.0021%10 Aug
nuke8–13-0.0220%8 Aug
dust24–13-0.0324%8 Aug
ancient7–13-0.0319%8 Aug
cache9–13-0.0519%6 Aug
cache13–11-0.0012%3 Aug
inferno13–20.0416%3 Aug
inferno13–1-0.0225%3 Aug
dust213–90.0111%1 Aug
nuke13–30.1425%1 Aug
ancient4–13-0.0424%1 Aug
nuke10–130.0322%1 Aug
nuke9–13-0.0520%31 Jul
dust23–13-0.0527%1 Mar
inferno13–7-0.079%1 Mar
overpass13–10-0.0618%7 Feb
inferno4–13-0.0819%7 Feb
dust26–13-0.0427%31 Jan
office8–13-0.0535%19 Jan
ancient13–60.1223%19 Jan
vertigo13–80.0041%30 Dec
inferno13–5-0.0327%6 Dec
train8–13-0.0633%6 Dec
mirage12–12-0.0119%6 Dec
dust213–8-0.0530%21 Oct
inferno13–90.0738%15 Oct
nuke8–13-0.0919%22 Jun
inferno13–7-0.0330%31 May
dust213–110.0022%31 May
train7–13-0.0618%26 May
inferno8–13-0.0129%24 May
nuke12–12-0.0217%14 Feb
dust213–5-0.0122%14 Feb
ancient13–80.0312%12 Feb
mirage6–13-0.0321%12 Feb
nuke16–13-0.0323%12 Feb
mirage4–13-0.0418%10 Feb
mirage13–110.0317%10 Feb
nuke13–10-0.0322%10 Feb
anubis13–70.0415%10 Feb
overpass8–130.0432%9 Feb
anubis9–13-0.0415%7 Feb
dust213–11-0.0216%7 Feb
nuke4–13-0.0824%5 Feb
anubis13–60.0323%5 Feb
inferno9–13-0.0123%5 Feb
dust22–13-0.0819%3 Feb
dust210–13-0.0325%2 Feb
train8–13-0.0317%2 Feb
overpass13–11-0.0119%2 Feb
dust212–12-0.0415%2 Feb
anubis13–80.0233%1 Feb
inferno13–8-0.0323%1 Feb
mirage13–70.0012%31 Jan
inferno10–13-0.0124%31 Jan
inferno6–13-0.0341%31 Jan
nuke13–7-0.0216%30 Jan
train13–10.0322%30 Jan
train3–6-0.000%30 Jan
inferno15–15-0.0532%27 Jan
mirage15–15-0.0425%25 Jan
inferno4–13-0.0831%19 Jan
nuke11–13-0.0211%14 Jan
anubis4–13-0.0321%12 Jan
inferno13–10.0215%12 Jan
mirage5–13-0.0421%4 Jan
nuke11–130.0228%21 Dec
mirage16–13-0.0415%7 Dec
nuke13–110.0131%1 Dec
ancient11–13-0.0127%20 Nov
inferno13–60.0238%1 Nov
dust213–2-0.0446%1 Nov

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 →