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US76561198043624077[U:1:83358349]Steam profile ↗

1,124Tracked matches43%Win rate2020Tracked since
2,057Hours in CS
CSDB Rating4.6 Developing
FaceitLevel 4 · 926 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=928), 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 rate44.3%42.5%44.2%meets
Shot accuracy11.4%10.9%11.2%meets
Kill/death ratio1.960.991.04above
Match win rate65.0%44.2%45.3%above

Across every metric we can compare, this profile already matches the typical Level 5 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGnoneFACEITLevel 4 · 926 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning45
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLLLTWLLWWW

Last 10 vs previous 10: -10pp win rate · +0.04 avg rating

Player DNA

Aim5.6
Aggression3.5
Utility6.4
Positioning4.5
Opening Duels0.4
Clutch2.2

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 83% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 49% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 710ms 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

Aim5.6
Positioning4.5
Utility6.4
Mechanics7.3
Opening Duels2.4
Win Impact2.6

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time690ms+23ms
first ⅓ avg 667ms → last ⅓ avg 690ms
Headshot accuracy18.0%+2.1%
first ⅓ avg 16.0% → last ⅓ avg 18.0%

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

0.14Best rating — inferno 13–1
13–0Biggest win — dust2
4Longest win streak
L3Current streak
3–13In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 67% over 6infernoWeakest map · 24% over 21
MapGradePlayedRecordWin rateAvg rating
dust2B3217–1553%0.02
mirageB2614–1254%-0.00
infernoD215–1624%0.01
ancientD113–827%-0.01
nukeS64–267%-0.05
overpass—31–233%0.01
cache—11–0100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (24% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

123,909Lifetime kills
1.96K/D · Top 5% of Level 4 players
6,534Matches
65.0%Match win rate · Top 5% of Level 4 players
44.3%Headshot % · Top 50% of Level 4 players
11.4%Shot accuracy · Top 50% of Level 4 players
21,947MVPs
2,057Hours (in match)
16,601Bombs planted
1,644Bombs defused

Most-used weapons

AK-4747,101
M4A4 / M4A1-S21,345
AWP17,103
P2000 / USP-S6,055
Glock-185,461
Galil AR4,339
FAMAS3,181
Desert Eagle2,552
MP92,422
SSG 081,915

Lifetime map wins

32,719dust2
5,792inferno
1,154nuke
483vertigo
73train
27safehouse
13italy
11lake

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

Faceit stats

Combat

161Matches
47%Win rate
1.19Avg K/D
76.2ADR
49%Headshot %

Clutches & streaks

31%1v1 clutch win
22%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust25753%1.2916.1
Inferno3447%1.3117.0
Mirage3253%1.1815.0
Ancient1625%0.8313.3
Anubis933%1.1116.7
Nuke838%1.0112.6
Overpass250%0.9210.5
Cache2100%0.769.5

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.

17.6%Headshot accuracy
34.3%Accuracy (enemy spotted)
32.3%Spray accuracy
83.0%Counter-strafing
9.8°Preaim
710msReaction time
14.0%T opening success
48.9%CT opening success
0.65Enemies flashed / flash
5.1%Flash assists
11.26HE damage / grenade
9.18Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 710.2192ms — above the 700ms mark we flag

    Aim Training →
  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 14.0142% — 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.

24% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust214–160.0623%22 Aug →
dust24–13-0.0011%12 Aug →
dust26–130.0119%7 Aug →
dust215–15-0.0316%25 Jul →
inferno13–10.1423%23 Jul →
dust29–13-0.0420%11 Jul →
mirage7–13-0.0514%11 Jul →
inferno13–30.009%11 Jul →
dust213–100.0924%7 Jul →
mirage13–70.0615%7 Jul →
mirage11–130.0013%27 Jun →
mirage15–15-0.0119%14 Jun →
inferno3–13-0.0530%22 May →
mirage13–11-0.0514%21 May →
dust213–50.1215%21 May →
nuke13–7-0.0610%11 May →
mirage13–16-0.0521%2 May →
nuke5–13-0.0320%2 May →
cache13–10-0.0123%1 May →
dust213–7-0.0320%28 Apr →
inferno11–13-0.0219%23 Apr →
overpass14–160.0317%23 Apr →
mirage10–13-0.0217%22 Apr →
mirage16–13-0.109%12 Apr →
dust211–13-0.0426%12 Apr →
inferno9–130.0120%9 Apr →
mirage9–13-0.0116%9 Apr →
inferno6–13-0.0319%8 Apr →
dust213–90.0715%8 Apr →
inferno13–50.0413%4 Apr →
mirage11–13-0.0520%3 Apr →
mirage14–160.0125%23 Mar →
dust213–30.1022%23 Mar →
ancient7–130.0026%23 Mar →
ancient13–8-0.0121%23 Mar →
overpass9–13-0.0314%13 Mar →
dust213–50.0518%13 Mar →
dust213–80.0414%13 Mar →
mirage13–30.0426%13 Mar →
inferno16–14-0.0227%12 Mar →
inferno7–130.019%12 Mar →
ancient13–10.0315%11 Mar →
inferno6–13-0.0410%10 Mar →
inferno11–130.1033%5 Mar →
ancient8–13-0.0213%4 Mar →
mirage13–70.0413%27 Feb →
inferno13–60.0722%26 Feb →
mirage13–10-0.0310%24 Feb →
ancient17–19-0.0213%24 Feb →
inferno11–13-0.0015%23 Feb →
mirage13–90.0315%20 Feb →
dust216–14-0.0314%15 Feb →
ancient12–160.0219%15 Feb →
mirage13–10.0524%12 Feb →
inferno11–130.0919%10 Feb →
ancient4–5-0.096%9 Feb →
inferno6–11-0.0623%6 Feb →
inferno12–16-0.0015%5 Feb →
overpass13–20.0314%5 Feb →
dust22–8-0.0142%4 Feb →
dust29–13-0.0220%4 Feb →
dust213–60.1219%3 Feb →
inferno7–13-0.0322%3 Feb →
dust216–130.0519%2 Feb →
inferno8–130.0321%2 Feb →
ancient10–130.0218%2 Feb →
dust213–70.0417%1 Feb →
nuke13–5-0.0024%31 Jan →
mirage10–13-0.0513%31 Jan →
dust210–130.0133%29 Jan →
dust213–00.0617%27 Jan →
dust29–13-0.0123%26 Jan →
mirage10–13-0.049%24 Jan →
dust212–120.0814%21 Jan →
ancient11–13-0.0416%20 Jan →
ancient7–13-0.058%15 Jan →
nuke7–13-0.0914%15 Jan →
dust24–13-0.0714%14 Jan →
mirage13–6-0.0415%13 Jan →
inferno8–130.0226%13 Jan →
dust213–100.0118%9 Jan →
mirage9–13-0.0113%9 Jan →
nuke13–8-0.018%9 Jan →
mirage13–90.0313%7 Jan →
inferno5–13-0.0423%7 Jan →
dust26–13-0.049%7 Jan →
dust213–30.1125%31 Dec →
nuke13–2-0.0810%31 Dec →
ancient13–80.0215%31 Dec →
mirage16–13-0.0114%30 Dec →
inferno1–13-0.0121%29 Dec →
mirage9–130.0714%23 Dec →
mirage13–30.1217%19 Dec →
dust213–30.0717%19 Dec →
dust213–50.0326%18 Dec →
mirage9–30.023%18 Dec →
dust27–13-0.0315%18 Dec →
dust213–8-0.0018%9 Dec →
mirage13–20.0615%9 Dec →
dust29–13-0.066%8 Dec →

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 →

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