TOP OF THE LEAGUE — CS2 Stats

76561198001857282[U:1:41591554]✓ No bans

2,568Tracked matches67%Win rate2020Tracked since
CSDB Rating6.6 SolidHybrid Rifler
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGTOP OF THE LEAGUEFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim82
Positioning50
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY70264Last 10070%Win rateWLWWLLWWLL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

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

Aim8.2
Aggression5.1
Utility5.0
Positioning5.0
Opening Duels0.6
Clutch6.0

Strong CT-side opener

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 90% playstyle similarity

Most alike: opening-fight frequency, positioning 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 32 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 43% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim8.2
Positioning5.0
Utility5.0
Mechanics7.9
Opening Duels1.6
Win Impact10.0

Composite 6.6/10 (Solid), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time577ms−60ms
first ⅓ avg 638ms → last ⅓ avg 577ms
Headshot accuracy19.4%−0.3%
first ⅓ avg 19.7% → last ⅓ avg 19.4%

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

0.12Best rating — mirage 13–0
130Biggest win — mirage
16Longest win streak
44In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 87% over 23dust2Weakest map · 56% over 32
MapGradePlayedRecordWin rateAvg rating
dust2A32181456%-0.00
mirageS2320387%0.02
infernoS1712571%0.00
cacheS1611569%-0.01
ancientS107370%0.01
anubis220100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (56% over 32). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

780Matches
56%Win rate
1.13Avg K/D
75.9ADR
47%Headshot %

Clutches & streaks

50%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage450%1.3214.8
Dust2250%1.2420.0
Inferno1100%0.9314.0
Anubis10%0.204.0
Ancient1100%1.3316.0

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.

19.5%Headshot accuracy
36.6%Accuracy (enemy spotted)
38.9%Spray accuracy
85.7%Counter-strafing
8.5°Preaim
577msReaction time
22.0%T opening success
43.0%CT opening success
0.49Enemies flashed / flash
7.3%Flash assists
11.13HE damage / grenade
8.27Flashes / 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 0.4947 — 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 22.0204% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
anubis13–5-0.0512%29 Aug
ancient11–13-0.0116%29 Aug
mirage13–10-0.0313%29 Aug
dust213–2-0.0235%29 Aug
dust27–13-0.0228%28 Aug
inferno11–13-0.0014%28 Aug
mirage13–70.0821%28 Aug
inferno13–30.0518%19 Aug
cache10–130.0225%19 Aug
dust29–13-0.0425%18 Aug
inferno13–8-0.0016%18 Aug
ancient13–7-0.0014%18 Aug
dust29–130.0318%17 Aug
cache6–13-0.038%17 Aug
ancient13–50.0433%17 Aug
mirage13–50.0121%17 Aug
mirage10–130.0417%16 Aug
dust213–4-0.0431%16 Aug
inferno10–4-0.0214%16 Aug
anubis13–6-0.0010%16 Aug
cache13–20.1015%16 Aug
mirage13–5-0.0126%15 Aug
dust213–70.0612%15 Aug
cache13–20.0123%15 Aug
inferno11–13-0.0222%15 Aug
mirage13–50.0214%15 Aug
cache13–3-0.0021%14 Aug
dust28–13-0.0411%14 Aug
mirage13–100.0918%14 Aug
inferno13–6-0.0142%14 Aug
dust26–13-0.0717%14 Aug
cache13–5-0.0213%13 Aug
dust29–13-0.0619%13 Aug
dust213–7-0.0221%9 Aug
ancient13–100.029%9 Aug
dust213–70.0518%9 Aug
mirage13–00.1226%9 Aug
inferno13–6-0.0019%9 Aug
mirage13–9-0.0415%8 Aug
inferno12–12-0.0613%8 Aug
ancient13–20.0317%8 Aug
dust213–50.0527%8 Aug
dust213–5-0.0320%8 Aug
cache13–40.1122%7 Aug
inferno13–10.0233%7 Aug
dust213–90.0321%7 Aug
mirage13–30.0011%7 Aug
dust213–30.0320%7 Aug
ancient13–20.0016%7 Aug
mirage13–3-0.0123%5 Aug
inferno13–7-0.027%3 Aug
dust213–80.0222%3 Aug
dust213–10-0.0320%2 Aug
mirage13–50.0225%2 Aug
cache13–00.0023%2 Aug
mirage13–50.0022%2 Aug
dust210–13-0.0615%1 Aug
dust212–120.0413%1 Aug
cache13–9-0.0119%1 Aug
ancient8–1-0.040%1 Aug
mirage13–9-0.0525%1 Aug
cache9–13-0.0515%31 Jul
dust213–30.0127%31 Jul
inferno13–70.0418%31 Jul
dust210–13-0.0315%31 Jul
cache13–80.0116%27 Jul
dust213–1-0.0319%27 Jul
mirage13–60.0914%27 Jul
dust29–130.0018%27 Jul
dust26–13-0.0316%26 Jul
inferno10–13-0.0323%26 Jul
mirage12–120.0214%26 Jul
mirage13–30.0319%25 Jul
dust211–13-0.0019%25 Jul
ancient12–12-0.0116%25 Jul
cache13–11-0.0317%25 Jul
inferno13–30.0221%25 Jul
mirage13–110.0912%24 Jul
inferno13–60.0621%24 Jul
mirage13–30.1011%24 Jul
dust213–90.0218%24 Jul
inferno13–60.0015%24 Jul
dust213–50.0825%23 Jul
cache5–13-0.0526%23 Jul
dust213–70.0818%23 Jul
mirage8–13-0.0421%22 Jul
ancient13–60.0828%22 Jul
dust213–30.0334%22 Jul
cache2–13-0.0938%21 Jul
inferno13–60.0120%21 Jul
cache13–9-0.0524%21 Jul
dust28–13-0.046%18 Jul
mirage13–100.0213%18 Jul
ancient10–130.0029%18 Jul
inferno7–130.0112%18 Jul
cache13–11-0.0530%18 Jul
mirage13–50.0820%18 Jul
mirage13–11-0.0615%17 Jul
dust213–7-0.0120%11 Jul
dust25–13-0.0319%11 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches16-Win Streak
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