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E N P — CS2 Stats

US76561198353535532[U:1:393269804]Steam profile ↗

397Tracked matches36%Win rate2023Tracked since
572Hours in CS
CSDB Rating3.0 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
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 rate44.1%42.7%44.0%meets
Shot accuracy7.4%10.8%11.6%4.2% short
Kill/death ratio0.721.001.030.31 short
Match win rate37.3%44.1%45.1%7.8% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

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.GGE N PFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim37
Positioning33
Utility36

0–100 skill scores via Leetify.

Recent form

COLD30–65–5Last 10030%Win rateLLLLLLWWLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim3.7
Aggression2.9
Utility3.6
Positioning3.3
Opening Duels0.0

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 66% playstyle similarity

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

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. 685ms 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

Aim3.7
Positioning3.3
Utility3.6
Mechanics4.5
Opening Duels0.1
Win Impact0.2

Composite 3.0/10 (Learning), 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-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time688ms+8ms
first ⅓ avg 680ms → last ⅓ avg 688ms
Headshot accuracy17.3%+3.7%
first ⅓ avg 13.6% → last ⅓ avg 17.3%

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

0.11Best rating — nuke 9–2
13–3Biggest win — dust2
4Longest win streak
L6Current streak
4–7In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 42% over 38mirageWeakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
infernoC3816–2242%-0.04
dust2D276–2122%-0.05
mirageD152–1313%-0.03
vertigoD93–633%-0.04
anubis—31–233%-0.06
ancient—31–233%-0.07
cache—20–20%-0.04
nuke—21–150%0.01
poseidon—10–10%-0.14

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,741Lifetime kills
0.72K/D
758Matches
37.3%Match win rate
44.1%Headshot % · Top 50% of Level 4 players
7.4%Shot accuracy
1,147MVPs
572Hours (in match)
755Bombs planted
82Bombs defused

Most-used weapons

AK-473,650
M4A4 / M4A1-S2,524
Desert Eagle901
AWP822
P2000 / USP-S668
Glock-18548
Galil AR281
MP9174
MAC-10163
SSG 08153

Lifetime map wins

1,561inferno
1,425dust2
540vertigo
121nuke
13office
13train
6lake
3italy

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

Faceit stats

Combat

2Matches
0%Win rate
0.44Avg K/D
—ADR
59%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo10%0.428.0
Ancient10%0.477.0

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.

17.4%Headshot accuracy
28.1%Accuracy (enemy spotted)
30.1%Spray accuracy
70.1%Counter-strafing
9.7°Preaim
685msReaction time
21.4%T opening success
31.2%CT opening success
0.53Enemies flashed / flash
3.4%Flash assists
8.26HE damage / grenade
3.52Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5224 — below the 4 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 21.3631% — below the 40% mark we flag

Spend your practice time on Mirage

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

13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0020%5 May →
inferno6–13-0.0326%1 May →
mirage6–13-0.0815%1 May →
dust22–13-0.0727%30 Apr →
cache6–13-0.0820%30 Apr →
cache7–130.0014%30 Apr →
inferno13–11-0.0331%28 Apr →
dust213–9-0.1015%26 Apr →
dust25–13-0.088%20 Apr →
anubis7–13-0.055%22 Mar →
dust213–3-0.0227%22 Mar →
mirage14–160.0018%17 Mar →
dust213–6-0.027%15 Mar →
dust25–13-0.1011%5 Mar →
anubis13–6-0.0411%5 Mar →
inferno11–13-0.0713%5 Mar →
dust212–12-0.0617%23 Feb →
inferno13–9-0.0819%23 Feb →
inferno9–13-0.0611%22 Feb →
dust21–13-0.136%22 Feb →
inferno13–11-0.0321%21 Feb →
inferno5–90.016%21 Feb →
vertigo13–80.0413%19 Feb →
dust28–13-0.0724%19 Feb →
dust213–11-0.0320%19 Feb →
inferno0–7-0.0343%19 Feb →
inferno12–12-0.0318%19 Feb →
ancient13–8-0.0624%17 Feb →
inferno1–13-0.1310%17 Feb →
mirage8–13-0.1121%15 Feb →
inferno9–6-0.1316%15 Feb →
mirage8–13-0.0518%14 Feb →
dust211–13-0.0317%12 Feb →
mirage13–60.0116%11 Feb →
inferno13–3-0.0827%11 Feb →
inferno13–10-0.087%11 Feb →
dust213–70.0617%10 Feb →
nuke4–13-0.0814%10 Feb →
dust25–13-0.125%8 Feb →
inferno13–40.0238%6 Feb →
mirage4–13-0.0419%6 Feb →
dust29–13-0.0419%6 Feb →
dust24–13-0.0814%6 Feb →
vertigo2–9-0.090%4 Feb →
inferno13–5-0.045%4 Feb →
inferno10–13-0.0510%2 Feb →
inferno9–40.109%2 Feb →
inferno1–9-0.1111%2 Feb →
dust25–13-0.0218%1 Feb →
inferno9–30.0320%1 Feb →
vertigo8–8-0.0914%1 Feb →
inferno10–13-0.1120%31 Jan →
inferno9–4-0.1013%31 Jan →
vertigo9–6-0.025%31 Jan →
poseidon7–9-0.149%31 Jan →
nuke9–20.1121%31 Jan →
mirage10–13-0.0525%30 Jan →
inferno2–13-0.1010%30 Jan →
mirage0–13-0.0722%30 Jan →
dust21–11-0.040%28 Jan →
mirage5–13-0.0418%28 Jan →
dust211–13-0.117%27 Jan →
inferno7–13-0.0410%3 Jan →
inferno5–13-0.0821%3 Jan →
inferno12–12-0.065%25 Dec →
ancient10–13-0.084%21 Dec →
inferno13–9-0.1117%21 Dec →
anubis11–13-0.103%12 Dec →
mirage11–13-0.0511%12 Dec →
vertigo9–7-0.069%12 Dec →
ancient7–13-0.088%8 Dec →
inferno13–5-0.084%8 Dec →
dust26–13-0.0118%5 Dec →
vertigo9–13-0.025%29 Nov →
vertigo6–9-0.0212%29 Nov →
inferno13–100.0014%27 May →
dust25–13-0.0210%25 May →
mirage6–130.0617%25 May →
dust23–13-0.095%16 May →
dust213–5-0.0214%14 May →
dust26–13-0.078%4 May →
inferno3–130.0615%4 May →
inferno8–13-0.0321%23 Apr →
mirage6–130.0111%22 Apr →
dust29–13-0.0317%22 Apr →
inferno3–130.0511%19 Apr →
vertigo10–13-0.0811%19 Apr →
inferno13–100.0021%12 Apr →
dust24–13-0.0321%12 Apr →
mirage7–13-0.0421%17 Mar →
inferno9–13-0.119%17 Mar →
inferno8–13-0.1129%15 Mar →
mirage13–8-0.0315%6 Mar →
inferno4–13-0.0611%2 Mar →
vertigo6–9-0.0517%28 Feb →
inferno9–60.1119%17 Feb →
inferno8–8-0.0620%10 Feb →
dust210–13-0.0518%15 Jan →
dust25–13-0.0113%15 Jan →
inferno8–13-0.0211%11 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 →

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