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ameNo

ameNo — CS2 Stats

DK76561198952749734[U:1:992484006]Steam profile ↗✓ No bans

835Tracked matches43%Win rate2020Tracked since
CSDB Rating4.8 Developing
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGameNoFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim46
Positioning57
Utility43

0–100 skill scores via Leetify.

Recent form

COLD40–58–2Last 10040%Win rateLLWLLLLWLL

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

Aim4.6
Aggression7.8
Utility4.3
Positioning5.7
Opening Duels3.3
Clutch2.6

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

b1t

Plays most like b1t 84% playstyle similarity

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

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

T-side openings. Opening success drops from 58% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 693ms 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

Aim4.6
Positioning5.7
Utility4.3
Mechanics7.0
Opening Duels3.4
Win Impact2.8

Composite 4.8/10 (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-0.03−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time690ms+36ms
first ⅓ avg 654ms → last ⅓ avg 690ms
Headshot accuracy16.1%−0.4%
first ⅓ avg 16.6% → last ⅓ avg 16.1%

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

0.09Best rating — anubis 8–0
13–0Biggest win — ancient
6Longest win streak
L2Current streak
6–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 57% over 7infernoWeakest map · 21% over 24
MapGradePlayedRecordWin rateAvg rating
nukeB3114–1745%-0.02
infernoD245–1921%-0.02
ancientB158–753%-0.03
anubisA74–357%0.01
trainD72–529%-0.03
overpassB63–350%-0.03
mirage—42–250%-0.05
vertigo—41–325%-0.01
dust2—21–150%0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

711Matches
50%Win rate
0.89Avg K/D
71.2ADR
39%Headshot %

Clutches & streaks

33%1v1 clutch win
38%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno743%1.2812.1
Nuke520%0.9410.6
Ancient40%0.8412.0
Vertigo475%0.9612.3
Mirage20%1.0418.0
Anubis20%0.5911.5
Overpass1100%1.0011.0

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.

16.4%Headshot accuracy
31.3%Accuracy (enemy spotted)
36.1%Spray accuracy
81.7%Counter-strafing
11.9°Preaim
693msReaction time
28.7%T opening success
57.6%CT opening success
0.57Enemies flashed / flash
7.4%Flash assists
8.83HE damage / grenade
5.11Flashes / 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. 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 28.7242% — 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.

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–130.0113%23 Mar →
inferno6–13-0.0218%23 Mar →
anubis13–11-0.0416%18 Feb →
nuke8–13-0.0423%18 Feb →
overpass11–13-0.0721%16 Feb →
inferno11–13-0.049%9 Jan →
inferno9–13-0.029%9 Jan →
ancient16–14-0.0219%9 Jan →
overpass6–13-0.0413%28 Dec →
overpass7–13-0.0119%27 Dec →
nuke7–13-0.0421%27 Dec →
nuke13–8-0.0122%10 Dec →
nuke4–13-0.0522%4 Dec →
inferno7–13-0.0816%4 Dec →
mirage13–2-0.0117%8 Nov →
ancient13–3-0.0424%8 Nov →
ancient5–13-0.066%16 Oct →
inferno6–13-0.0310%16 Oct →
nuke13–10-0.0433%6 Oct →
ancient13–00.0721%2 Oct →
nuke11–13-0.0311%2 Oct →
nuke13–4-0.0426%25 Jul →
ancient13–80.0515%24 Jul →
nuke13–10.0318%24 Jul →
nuke13–16-0.0317%24 Jul →
overpass16–14-0.0610%24 Jul →
train7–13-0.0515%24 Jul →
ancient13–9-0.099%24 Jul →
inferno8–13-0.0014%22 Jul →
overpass13–9-0.0312%22 Jul →
nuke7–13-0.0516%21 Jul →
overpass13–50.0519%21 Jul →
nuke10–13-0.110%10 Jul →
nuke6–13-0.0311%8 Jul →
nuke13–100.0324%7 Jul →
inferno13–5-0.0320%7 Jul →
anubis8–00.0927%7 Jul →
ancient13–11-0.0113%7 Jun →
ancient13–10-0.0524%6 Jun →
nuke13–40.0312%6 Jun →
anubis11–13-0.0218%6 Jun →
ancient8–13-0.0817%5 Jun →
mirage7–13-0.0815%5 Jun →
train15–15-0.0016%2 Jun →
nuke13–3-0.0213%2 Jun →
dust213–100.0416%23 May →
inferno13–16-0.0226%28 Apr →
nuke9–13-0.0622%28 Apr →
ancient10–130.0111%14 Apr →
inferno11–13-0.0226%10 Apr →
nuke6–13-0.0521%10 Apr →
inferno16–13-0.0315%2 Apr →
train13–6-0.0230%2 Apr →
train9–13-0.0220%21 Mar →
anubis13–10.0116%21 Mar →
nuke13–80.0122%19 Mar →
nuke13–20.0215%17 Mar →
train13–6-0.0419%13 Mar →
inferno13–70.0332%26 Feb →
inferno8–13-0.064%26 Feb →
inferno10–13-0.0513%20 Feb →
anubis13–90.0426%20 Feb →
train4–13-0.0716%20 Feb →
mirage9–13-0.046%19 Feb →
ancient10–13-0.0714%19 Feb →
inferno9–13-0.0324%19 Feb →
inferno6–13-0.048%13 Feb →
nuke13–100.0112%13 Feb →
inferno6–13-0.049%13 Feb →
nuke15–150.0012%12 Feb →
ancient13–10-0.0418%6 Feb →
mirage13–9-0.0716%4 Feb →
nuke16–13-0.0115%2 Feb →
ancient6–13-0.0817%2 Feb →
inferno3–13-0.0411%2 Feb →
nuke16–14-0.0416%31 Jan →
nuke14–16-0.008%31 Jan →
nuke13–90.0523%29 Jan →
nuke10–13-0.0115%27 Jan →
ancient6–13-0.0513%27 Jan →
inferno10–130.0320%26 Jan →
nuke7–13-0.0532%25 Jan →
inferno13–80.0221%24 Jan →
vertigo6–130.0015%24 Jan →
inferno13–100.0423%21 Jan →
vertigo11–13-0.0314%21 Jan →
dust25–13-0.0113%21 Jan →
inferno10–13-0.0130%21 Jan →
anubis10–130.0323%20 Jan →
vertigo9–13-0.0316%16 Jan →
vertigo13–80.0113%16 Jan →
train7–130.0218%16 Jan →
nuke13–11-0.0221%13 Jan →
inferno7–13-0.0417%10 Jan →
inferno7–13-0.0615%10 Jan →
ancient14–160.0010%3 Jan →
nuke6–130.0020%3 Jan →
inferno5–13-0.0115%3 Jan →
nuke12–160.0315%28 Dec →
anubis11–13-0.0512%25 Dec →

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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