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nev0 -iwnl- — CS2 Stats

76561198228678772[U:1:268413044]

746Tracked matches58%Win rate2022Tracked since
CSDB Rating4.4 Developing
Premier CS Rating16,622Purple band · top ~21.9% of ranked players (population est.)
CSDB Leaderboard#29571 of 54568 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGnev0 -iwnl-FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,622 · Purple bandcsdb.gg/stats

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Performance scores

Aim51
Positioning42
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY47–45–8Last 10047%Win rateLWLWWWLLLW

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

Player DNA

Aim5.1
Aggression4.9
Utility3.7
Positioning4.2
Opening Duels1.1
Clutch0.0

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, 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

Reaction time. 623ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.1
Positioning4.2
Utility3.7
Mechanics4.1
Opening Duels1.1
Win Impact7.6

Composite 4.4/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time623ms+15ms
first ⅓ avg 608ms → last ⅓ avg 623ms
Headshot accuracy13.3%−1.0%
first ⅓ avg 14.3% → last ⅓ avg 13.3%

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

0.10Best rating — ancient 8–13
13–0Biggest win — dust2
4Longest win streak
5–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 63% over 8infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B6029–3148%-0.01
ancientB137–654%0.01
overpassD93–633%-0.02
mirageA85–363%-0.02
infernoD51–420%-0.04
nuke—31–233%-0.02
golden—11–0100%0.04
train—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

17Matches
41%Win rate
0.98Avg K/D
62.1ADR
31%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust2450%0.9811.8
Ancient2100%1.1912.5
Nuke10%0.459.0

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.

12.6%Headshot accuracy
32.3%Accuracy (enemy spotted)
37.3%Spray accuracy
68.6%Counter-strafing
8.6°Preaim
623msReaction time
35.6%T opening success
33.3%CT opening success
0.48Enemies flashed / flash
9.1%Flash assists
8.82HE damage / grenade
4.16Flashes / 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 12.5633% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4793 — below the 0.5 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 35.63% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–90.0621%19 Nov →
dust213–5-0.0016%14 Nov →
ancient3–13-0.0611%14 Nov →
mirage16–14-0.0112%12 Nov →
dust213–8-0.048%12 Nov →
ancient13–3-0.0122%11 Nov →
dust211–130.0210%11 Nov →
inferno2–13-0.0722%11 Nov →
dust211–13-0.0312%11 Nov →
dust213–4-0.0718%8 Nov →
dust213–2-0.0313%8 Nov →
dust210–13-0.0513%7 Nov →
dust212–12-0.0621%5 Nov →
dust28–10.0217%5 Nov →
golden13–10.046%30 Oct →
mirage13–7-0.066%29 Oct →
dust213–6-0.0613%29 Oct →
dust28–13-0.058%29 Oct →
ancient13–40.0220%28 Oct →
nuke7–13-0.0921%28 Oct →
dust24–13-0.0424%27 Oct →
dust28–13-0.0113%27 Oct →
dust26–13-0.028%26 Oct →
dust212–12-0.017%26 Oct →
dust213–5-0.069%26 Oct →
dust213–90.029%25 Oct →
dust22–13-0.0613%25 Oct →
dust213–10-0.046%25 Oct →
dust213–60.0211%23 Oct →
ancient15–15-0.0113%21 Oct →
dust212–120.028%19 Oct →
dust210–130.0512%19 Oct →
mirage7–13-0.0317%19 Oct →
dust24–130.0212%19 Oct →
inferno9–13-0.035%19 Oct →
dust27–13-0.0719%19 Oct →
dust212–12-0.047%19 Oct →
dust213–100.0118%19 Oct →
dust213–100.026%19 Oct →
dust213–9-0.0012%18 Oct →
dust210–13-0.0613%16 Oct →
overpass12–12-0.0312%12 Oct →
nuke13–8-0.0310%12 Oct →
dust211–13-0.0312%12 Oct →
dust29–130.0611%12 Oct →
inferno11–13-0.007%12 Oct →
overpass13–11-0.029%12 Oct →
dust216–130.0413%11 Oct →
dust27–130.0311%11 Oct →
dust213–70.0810%11 Oct →
inferno8–13-0.0815%11 Oct →
train11–13-0.0316%11 Oct →
overpass13–40.048%11 Oct →
mirage13–6-0.0415%11 Oct →
dust213–80.0918%9 Oct →
ancient13–70.035%9 Oct →
dust27–13-0.048%7 Oct →
dust213–10-0.0113%6 Oct →
ancient5–130.0816%6 Oct →
ancient13–100.0716%6 Oct →
dust213–70.0211%6 Oct →
overpass6–13-0.0520%5 Oct →
dust27–130.0216%5 Oct →
dust213–9-0.0514%5 Oct →
dust213–90.0218%5 Oct →
ancient8–130.1019%5 Oct →
dust24–13-0.0816%2 Oct →
ancient5–13-0.0519%1 Oct →
dust25–13-0.0614%1 Oct →
overpass8–13-0.0314%30 Sept →
dust25–13-0.0216%30 Sept →
dust213–50.0216%30 Sept →
mirage16–13-0.0110%29 Sept →
inferno13–9-0.0321%29 Sept →
dust29–130.0513%29 Sept →
ancient13–100.0112%29 Sept →
overpass12–16-0.059%28 Sept →
ancient13–110.0013%28 Sept →
overpass15–15-0.0412%28 Sept →
dust213–7-0.0121%28 Sept →
overpass8–130.0111%28 Sept →
mirage11–130.0515%28 Sept →
ancient11–13-0.0310%27 Sept →
dust213–7-0.0213%27 Sept →
mirage13–90.0012%27 Sept →
dust210–130.0118%27 Sept →
dust213–8-0.0427%27 Sept →
ancient13–5-0.0119%27 Sept →
overpass13–11-0.0217%27 Sept →
mirage7–13-0.0615%27 Sept →
dust27–13-0.0614%27 Sept →
dust23–130.010%25 Sept →
dust27–130.0013%25 Sept →
dust213–00.0628%22 Sept →
dust213–3-0.009%22 Sept →
dust24–2-0.000%22 Sept →
dust213–2-0.0813%22 Sept →
dust212–120.0111%22 Sept →
dust213–70.0824%18 Sept →
dust26–13-0.0813%17 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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