sn0t — CS2 Stats

76561198269605395[U:1:309339667]✓ No bans

1,380Tracked matches41%Win rate2020Tracked since
CSDB Rating5.4 DevelopingAggressive Rifler
FaceitLevel 7 · 1,512 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGsn0tFACEITLevel 7 · 1,512 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim78
Positioning47
Utility48

0–100 skill scores via Leetify.

Recent form

COLD47503Last 10047%Win rateTLLLWLLWLW

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

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.8
Aggression6.5
Utility4.8
Positioning4.7
Opening Duels2.8
Clutch1.2

Strong CT-side openerEffective flashes

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

ropz

Plays most like ropz 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

Strengths

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 31 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 54% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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

Aim7.8
Positioning4.7
Utility4.8
Mechanics7.6
Opening Duels3.0
Win Impact2.1

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time584ms+26ms
first ⅓ avg 558ms → last ⅓ avg 584ms
Headshot accuracy20.4%−0.6%
first ⅓ avg 21.0% → last ⅓ avg 20.4%

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

0.14Best rating — ancient 13–8
131Biggest win — anubis
7Longest win streak
109In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 63% over 8infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB32151747%-0.03
ancientB31141745%-0.02
anubisB137654%0.00
dust2A85363%-0.00
infernoD62433%0.01
trainB63350%-0.00
nuke41325%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

884Matches
49%Win rate
1.02Avg K/D
67.0ADR
36%Headshot %

Clutches & streaks

26%1v1 clutch win
14%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3650%0.8113.3
Ancient2850%0.7512.6
Dust2956%1.0216.7
Anubis967%0.9616.3
Inferno540%0.8912.2
Nuke425%0.7411.8
Train367%1.1713.3

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.

19.8%Headshot accuracy
33.7%Accuracy (enemy spotted)
38.1%Spray accuracy
84.3%Counter-strafing
8.4°Preaim
586msReaction time
28.1%T opening success
54.0%CT opening success
0.75Enemies flashed / flash
4.5%Flash assists
9.41HE damage / grenade
5.41Flashes / 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 28.12% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke12–120.1222%16 Mar
ancient11–13-0.0629%16 Mar
mirage7–13-0.0535%13 Mar
mirage9–130.0115%1 Mar
anubis16–14-0.0211%24 Feb
anubis11–13-0.0324%21 Feb
mirage6–13-0.0815%21 Feb
ancient13–9-0.0424%17 Feb
ancient2–13-0.0614%12 Feb
anubis13–4-0.0312%12 Feb
mirage13–5-0.0116%12 Feb
mirage10–13-0.0119%10 Feb
mirage13–90.0325%10 Feb
dust25–13-0.0517%8 Feb
anubis13–11-0.0120%8 Feb
anubis12–16-0.0021%7 Feb
mirage7–13-0.0823%7 Feb
ancient13–9-0.0621%7 Feb
anubis9–13-0.0122%3 Feb
anubis10–13-0.0410%20 Jan
ancient10–13-0.0315%20 Jan
dust215–19-0.0124%18 Jan
anubis13–50.0450%17 Jan
ancient1–13-0.0814%17 Jan
anubis19–16-0.0219%14 Jan
anubis13–10-0.0020%14 Jan
mirage19–16-0.0314%12 Jan
mirage13–8-0.0224%9 Jan
ancient7–13-0.0519%9 Jan
ancient9–13-0.069%8 Jan
ancient13–110.0420%7 Jan
dust213–90.0516%4 Jan
ancient13–100.0138%4 Jan
ancient11–13-0.0519%4 Jan
nuke3–13-0.020%3 Jan
mirage11–130.0123%3 Jan
ancient9–13-0.0313%1 Jan
inferno3–13-0.0522%1 Jan
train13–9-0.0034%1 Jan
mirage13–9-0.0511%31 Dec
mirage11–13-0.0126%31 Dec
ancient10–130.0436%30 Dec
ancient5–13-0.0815%30 Dec
dust213–90.0426%30 Dec
ancient13–100.0216%29 Dec
mirage16–14-0.017%28 Dec
ancient13–11-0.0113%28 Dec
mirage16–13-0.0110%28 Dec
train13–90.0217%28 Dec
dust213–6-0.0319%28 Dec
mirage9–130.0135%28 Dec
dust28–13-0.0521%27 Dec
ancient13–8-0.0223%27 Dec
ancient13–100.019%26 Dec
ancient7–13-0.0413%26 Dec
mirage6–13-0.0717%26 Dec
mirage13–11-0.0113%26 Dec
ancient13–80.1423%25 Dec
mirage4–13-0.0611%24 Dec
ancient10–13-0.0414%23 Dec
mirage13–11-0.016%23 Dec
mirage13–3-0.0214%23 Dec
mirage16–14-0.0414%22 Dec
dust219–160.0028%22 Dec
mirage11–130.0838%20 Dec
ancient13–9-0.0314%20 Dec
mirage5–13-0.0836%20 Dec
mirage7–13-0.0635%19 Dec
mirage11–13-0.0219%19 Dec
train13–50.0017%18 Dec
dust213–110.0230%18 Dec
ancient19–15-0.068%16 Dec
train9–130.0126%15 Dec
ancient13–3-0.0429%15 Dec
mirage9–13-0.0523%15 Dec
anubis12–120.0621%14 Dec
inferno13–100.0722%14 Dec
train15–15-0.0221%14 Dec
anubis13–10.1036%12 Dec
anubis9–13-0.0128%6 Dec
train8–13-0.0214%6 Dec
inferno9–13-0.0128%4 Dec
ancient13–50.0126%4 Dec
mirage13–100.0320%4 Dec
inferno10–130.0324%1 Dec
ancient5–13-0.0114%30 Nov
nuke8–13-0.076%30 Nov
mirage6–13-0.1211%29 Nov
ancient11–13-0.0015%29 Nov
mirage11–13-0.0417%29 Nov
ancient3–13-0.0930%29 Nov
ancient2–13-0.0819%28 Nov
mirage13–6-0.0230%28 Nov
inferno13–70.0123%28 Nov
ancient5–13-0.0026%27 Nov
mirage13–8-0.0712%27 Nov
mirage13–30.0110%27 Nov
nuke13–110.057%27 Nov
inferno6–130.0312%26 Nov
ancient19–160.0433%25 Nov

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 →